From 54c97a5c49882cf1fb8490e07d1c90761664bc0d Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 00:07:46 +0000 Subject: [PATCH 001/206] docs(extension_types): add ExtensionTypeRegistry design spec for PLT-1653 --- ...26-06-14-extension-type-registry-design.md | 228 ++++++++++++++++++ 1 file changed, 228 insertions(+) create mode 100644 superpowers/specs/2026-06-14-extension-type-registry-design.md diff --git a/superpowers/specs/2026-06-14-extension-type-registry-design.md b/superpowers/specs/2026-06-14-extension-type-registry-design.md new file mode 100644 index 00000000..fd546a5c --- /dev/null +++ b/superpowers/specs/2026-06-14-extension-type-registry-design.md @@ -0,0 +1,228 @@ +# ExtensionTypeRegistry Design + +**Date:** 2026-06-14 +**Linear issue:** PLT-1653 +**Status:** Approved + +--- + +## Overview + +The `extension_types/` subpackage has a protocol (`ExtensionTypeConverter`) but no registry. +This spec adds `ExtensionTypeRegistry` — a class that maps `extension_name` strings to converter +instances and, as a side effect of each `register()` call, populates both PyArrow's and Polars' +process-global extension type registries so that columns using these types round-trip correctly +through Arrow IPC, Parquet, and Polars DataFrames. + +--- + +## Goals & Success Criteria + +- `ExtensionTypeRegistry.register(converter)` stores the converter and registers the extension + type in both PyArrow and Polars global registries in a single call. +- Registering a converter with a duplicate `extension_name` raises a clear `ValueError`. +- Converters are retrievable by `extension_name` (primary lookup) or `python_type` (secondary, + for the write path). Subclass relationships are honoured in the python-type lookup. +- A module-level `extension_type_registry` instance is created when + `orcapod.extension_types` is imported. It starts empty; PLT-1656 adds the built-in + registrations (`Path`, `UPath`, `UUID`). +- `pyproject.toml` is updated from `polars>=1.31.0` to `polars>=1.36.0`, the minimum version + that ships `pl.BaseExtension` and `pl.register_extension_type`. + +--- + +## Architecture + +### File map + +| File | Change | +|---|---| +| `pyproject.toml` | Update `polars>=1.31.0` → `polars>=1.36.0` | +| `src/orcapod/extension_types/registry.py` | **New** — `ExtensionTypeRegistry` class + private helpers | +| `src/orcapod/extension_types/__init__.py` | Export `ExtensionTypeRegistry`; create `extension_type_registry` | +| `tests/test_extension_types/test_registry.py` | **New** — unit and integration tests | + +--- + +## `registry.py` Module + +### Internal storage + +```python +self._by_name: dict[str, ExtensionTypeConverter] +self._by_python_type: dict[type, ExtensionTypeConverter] +``` + +Both dicts are populated together on every `register()` call. Neither has a reverse mapping +(no need to look up `extension_name` from `python_type` — that path is not required by this +issue). + +### Public API + +```python +class ExtensionTypeRegistry: + def register(self, converter: ExtensionTypeConverter) -> None + def get_converter_for_name(self, name: str) -> ExtensionTypeConverter | None + def get_converter_for_python_type(self, python_type: type) -> ExtensionTypeConverter | None + def has_extension_name(self, name: str) -> bool + def has_python_type(self, python_type: type) -> bool + def list_extension_names(self) -> list[str] + def list_python_types(self) -> list[type] +``` + +**`register(converter)`** — the only mutating method: + +1. Look up `converter.extension_name` in `_by_name`. If found, raise: + `ValueError: Extension type '{name}' is already registered.` +2. Store `_by_name[name] = converter` and `_by_python_type[converter.python_type] = converter`. +3. Call `_register_arrow_ext_type(converter)`. +4. Call `_register_polars_ext_type(converter)`. + +**`get_converter_for_python_type(python_type)`** — exact match first, then `issubclass` scan. +Returns the first registered type for which `issubclass(python_type, registered_type)` is true. +If multiple registered types are superclasses of `python_type`, the one encountered first in +insertion order wins (Python 3.7+ dict ordering). Returns `None` if nothing matches. + +All other public methods are straightforward dict lookups or list returns. + +### Private helpers + +**`_register_arrow_ext_type(converter)`** + +Creates a `pa.ExtensionType` subclass dynamically using `type()` and calls +`pa.register_extension_type(instance)`. If PyArrow raises (type already registered globally), +the exception is silently suppressed — our registry-level duplicate check already ensures we +never re-register the same name intentionally. Suppressing the PyArrow error makes the registry +safe to use in test suites where the process-global PyArrow state persists across test cases. + +```python +# Pseudocode for the dynamically created class +class _ArrowExt_(pa.ExtensionType): + def __init__(self): + pa.ExtensionType.__init__(self, converter.storage_type, converter.extension_name) + + def __arrow_ext_serialize__(self) -> bytes: + return converter.extension_metadata or b"" + + @classmethod + def __arrow_ext_deserialize__(cls, storage_type, serialized): + return cls() +``` + +Name sanitization: replace all non-alphanumeric characters with `_` (e.g. +`pathlib.Path` → `_ArrowExt_pathlib_Path`). This is cosmetic only (for `repr` and debugging); +PyArrow identifies the type by `extension_name`, not the class name. + +**`_register_polars_ext_type(converter)`** + +Derives the Polars storage dtype by creating an empty PyArrow array of the storage type and +converting it via `pl.from_arrow`: + +```python +pl_storage = pl.from_arrow(pa.array([], type=converter.storage_type)).dtype +``` + +This is reliable, handles all Arrow → Polars type mappings (including `pa.large_utf8()` → +`pl.String`, `pa.binary(16)` → `pl.Binary`, `pa.struct(...)` → `pl.Struct({...})`), and +requires no manually-maintained mapping table. + +Then creates a `pl.BaseExtension` subclass dynamically: + +```python +# Pseudocode for the dynamically created class +class _PolarsExt_(pl.BaseExtension): + def __init__(self): + metadata_str = converter.extension_metadata.decode("utf-8") if converter.extension_metadata else None + super().__init__(converter.extension_name, pl_storage, metadata_str) + + @classmethod + def ext_from_params(cls, name, storage, metadata): + return cls() +``` + +Calls `pl.register_extension_type(converter.extension_name, _PolarsExtType)`. If Polars raises +(already registered), silently suppressed for the same reason as PyArrow. + +Note: `pl.BaseExtension` is marked unstable in Polars. The `polars>=1.36.0` constraint is a +forward commitment; if a future Polars release changes this API, the helpers in `registry.py` +are the only place to update. + +--- + +## `__init__.py` + +```python +from .registry import ExtensionTypeRegistry + +extension_type_registry = ExtensionTypeRegistry() +# PLT-1656 adds: extension_type_registry.register(), etc. + +__all__ = ["ExtensionTypeRegistry", "extension_type_registry"] +``` + +The module-level `extension_type_registry` is the process default. It is not yet referenced by +`DataContext` (that wiring is PLT-1660). + +--- + +## `pyproject.toml` + +```toml +# Before +"polars>=1.31.0", + +# After +"polars>=1.36.0", +``` + +Polars 1.36.0 is the first release that exports `pl.BaseExtension` and +`pl.register_extension_type`. The currently installed version in CI is 1.41.2. + +--- + +## Error Handling + +| Situation | Behaviour | +|---|---| +| Duplicate `extension_name` in `register()` | `ValueError` with the offending name | +| PyArrow already has the type globally | Silently suppressed (safe for re-import and test isolation) | +| Polars already has the type globally | Silently suppressed (same reason) | +| `get_converter_for_name` / `get_converter_for_python_type` miss | Returns `None` | +| Non-`ExtensionTypeConverter` passed to `register()` | `beartype` raises `BeartypeCallHintParamViolation` at the call site | + +--- + +## Tests + +File: `tests/test_extension_types/test_registry.py` + +A `_StubConverter` factory (similar to the one in `test_protocols.py`) creates minimal +conforming `ExtensionTypeConverter` instances with `pa.large_utf8()` as `storage_type`. Each +test that touches the process-global PA/Polars registries uses a unique `extension_name` to +avoid cross-test interference (since those globals persist for the process lifetime). + +| Test | What it verifies | +|---|---| +| `test_register_stores_converter` | `get_converter_for_name` returns the converter after `register()` | +| `test_register_populates_arrow_registry` | After `register()`, attempting to re-register the same name with PyArrow raises `pa.lib.ArrowKeyError` (proving it is registered) | +| `test_register_populates_polars_registry` | After `register()`, `pl.from_arrow(pa.array([...], type=ext_type_instance)).dtype` is a `pl.BaseExtension` instance | +| `test_register_duplicate_raises` | Second `register()` with same `extension_name` → `ValueError` | +| `test_get_converter_for_name_miss` | Unknown name returns `None` | +| `test_get_converter_for_python_type_exact` | Exact type lookup returns converter | +| `test_get_converter_for_python_type_subclass` | Subclass of registered type returns converter | +| `test_get_converter_for_python_type_miss` | Unrelated type returns `None` | +| `test_has_extension_name` | Returns `True` after register, `False` before | +| `test_has_python_type` | Returns `True` after register, `False` before | +| `test_list_extension_names` | Returns correct list of registered names | +| `test_list_python_types` | Returns correct list of registered types | +| `test_arrow_polars_round_trip` | PA ext array → `pl.from_arrow` → `to_arrow()` preserves extension type and values | +| `test_extension_type_registry_module_instance` | `extension_types.extension_type_registry` is an `ExtensionTypeRegistry` instance and starts empty | + +--- + +## Out of Scope + +- Registering built-in converters (`Path`, `UPath`, `UUID`) — that is PLT-1656. +- Wiring `extension_type_registry` into `DataContext` — that is PLT-1660. +- Schema analysis helpers (finding extension-type columns in a schema) — not needed until PLT-1660. +- Thread safety — registration is expected to happen at import time before any concurrent I/O. From c52c9efbe1780d69f111b2f0e8d10ee273ef93da Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 00:28:02 +0000 Subject: [PATCH 002/206] =?UTF-8?q?docs(extension=5Ftypes):=20revise=20reg?= =?UTF-8?q?istry=20spec=20=E2=80=94=20proactive=20PA/Polars=20equivalence?= =?UTF-8?q?=20check?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ...26-06-14-extension-type-registry-design.md | 75 +++++++++++++------ 1 file changed, 53 insertions(+), 22 deletions(-) diff --git a/superpowers/specs/2026-06-14-extension-type-registry-design.md b/superpowers/specs/2026-06-14-extension-type-registry-design.md index fd546a5c..bac44864 100644 --- a/superpowers/specs/2026-06-14-extension-type-registry-design.md +++ b/superpowers/specs/2026-06-14-extension-type-registry-design.md @@ -85,54 +85,80 @@ insertion order wins (Python 3.7+ dict ordering). Returns `None` if nothing matc All other public methods are straightforward dict lookups or list returns. +### Module-level global-registry tracking + +Two module-level dicts shadow the process-global PA and Polars registries so that equivalence +checks can be performed without touching private internals of either library: + +```python +_ARROW_REGISTRY: dict[str, tuple[pa.DataType, bytes]] = {} +# name → (storage_type, extension_metadata_bytes) + +_POLARS_REGISTRY: dict[str, tuple[pl.DataType, str | None]] = {} +# name → (pl_storage_dtype, metadata_str) +``` + +These dicts are module-level singletons and are shared across all `ExtensionTypeRegistry` +instances in the same process. They track exactly what has been registered in the global +PA/Polars registries by *any* `ExtensionTypeRegistry` call. They are never cleared. + ### Private helpers **`_register_arrow_ext_type(converter)`** -Creates a `pa.ExtensionType` subclass dynamically using `type()` and calls -`pa.register_extension_type(instance)`. If PyArrow raises (type already registered globally), -the exception is silently suppressed — our registry-level duplicate check already ensures we -never re-register the same name intentionally. Suppressing the PyArrow error makes the registry -safe to use in test suites where the process-global PyArrow state persists across test cases. +1. Compute `metadata = converter.extension_metadata or b""` and `storage = converter.storage_type`. +2. If `converter.extension_name` is already in `_ARROW_REGISTRY`: + - Compare `(existing_storage, existing_metadata)` with `(storage, metadata)` using `==`. + - Match → return immediately (idempotent; safe for module reload and test-suite reuse). + - Mismatch → raise `ValueError` with both the existing and attempted parameters. +3. Dynamically create a `pa.ExtensionType` subclass via `type()`: ```python # Pseudocode for the dynamically created class class _ArrowExt_(pa.ExtensionType): def __init__(self): - pa.ExtensionType.__init__(self, converter.storage_type, converter.extension_name) + pa.ExtensionType.__init__(self, storage, converter.extension_name) def __arrow_ext_serialize__(self) -> bytes: - return converter.extension_metadata or b"" + return metadata # captured from converter at registration time @classmethod def __arrow_ext_deserialize__(cls, storage_type, serialized): return cls() ``` +4. Call `pa.register_extension_type(instance)`. If PyArrow raises `ArrowKeyError`, the name + was registered externally (not through our registry) — re-raise as `ValueError` explaining + that the name is already taken by an external registration and equivalence cannot be verified. +5. On success: `_ARROW_REGISTRY[name] = (storage, metadata)`. + Name sanitization: replace all non-alphanumeric characters with `_` (e.g. -`pathlib.Path` → `_ArrowExt_pathlib_Path`). This is cosmetic only (for `repr` and debugging); -PyArrow identifies the type by `extension_name`, not the class name. +`pathlib.Path` → `_ArrowExt_pathlib_Path`). Cosmetic only — PyArrow identifies types by +`extension_name`, not by class name. **`_register_polars_ext_type(converter)`** -Derives the Polars storage dtype by creating an empty PyArrow array of the storage type and -converting it via `pl.from_arrow`: +1. Derive Polars storage dtype by converting an empty PA array of the storage type: ```python pl_storage = pl.from_arrow(pa.array([], type=converter.storage_type)).dtype ``` -This is reliable, handles all Arrow → Polars type mappings (including `pa.large_utf8()` → -`pl.String`, `pa.binary(16)` → `pl.Binary`, `pa.struct(...)` → `pl.Struct({...})`), and -requires no manually-maintained mapping table. +This handles all Arrow → Polars mappings (`pa.large_utf8()` → `pl.String`, +`pa.binary(16)` → `pl.Binary`, `pa.struct(...)` → `pl.Struct({...})`) without a +manually-maintained table. -Then creates a `pl.BaseExtension` subclass dynamically: +2. Compute `metadata_str = converter.extension_metadata.decode("utf-8") if converter.extension_metadata else None`. +3. If `converter.extension_name` is already in `_POLARS_REGISTRY`: + - Compare `(existing_pl_storage, existing_metadata_str)` with `(pl_storage, metadata_str)` using `==`. + - Match → return immediately (idempotent). + - Mismatch → raise `ValueError` with both the existing and attempted parameters. +4. Dynamically create a `pl.BaseExtension` subclass via `type()`: ```python # Pseudocode for the dynamically created class class _PolarsExt_(pl.BaseExtension): def __init__(self): - metadata_str = converter.extension_metadata.decode("utf-8") if converter.extension_metadata else None super().__init__(converter.extension_name, pl_storage, metadata_str) @classmethod @@ -140,8 +166,10 @@ class _PolarsExt_(pl.BaseExtension): return cls() ``` -Calls `pl.register_extension_type(converter.extension_name, _PolarsExtType)`. If Polars raises -(already registered), silently suppressed for the same reason as PyArrow. +5. Call `pl.register_extension_type(converter.extension_name, _PolarsExtType)`. If Polars raises + `ValueError` (already registered externally), re-raise as `ValueError` explaining that the + name is already taken and equivalence cannot be verified. +6. On success: `_POLARS_REGISTRY[name] = (pl_storage, metadata_str)`. Note: `pl.BaseExtension` is marked unstable in Polars. The `polars>=1.36.0` constraint is a forward commitment; if a future Polars release changes this API, the helpers in `registry.py` @@ -184,9 +212,10 @@ Polars 1.36.0 is the first release that exports `pl.BaseExtension` and | Situation | Behaviour | |---|---| -| Duplicate `extension_name` in `register()` | `ValueError` with the offending name | -| PyArrow already has the type globally | Silently suppressed (safe for re-import and test isolation) | -| Polars already has the type globally | Silently suppressed (same reason) | +| Duplicate `extension_name` in `register()` (same `ExtensionTypeRegistry` instance) | `ValueError` with the offending name | +| PA/Polars global registry has the name, registered via our tracking dicts, same params | Idempotent — return silently (safe for module reload and test-suite reuse) | +| PA/Polars global registry has the name, registered via our tracking dicts, different params | `ValueError` showing existing vs. attempted `storage_type` and `metadata` | +| PA/Polars global registry has the name, registered externally (not via our dicts) | `ValueError` explaining the name is taken by an external source and equivalence cannot be verified | | `get_converter_for_name` / `get_converter_for_python_type` miss | Returns `None` | | Non-`ExtensionTypeConverter` passed to `register()` | `beartype` raises `BeartypeCallHintParamViolation` at the call site | @@ -206,7 +235,9 @@ avoid cross-test interference (since those globals persist for the process lifet | `test_register_stores_converter` | `get_converter_for_name` returns the converter after `register()` | | `test_register_populates_arrow_registry` | After `register()`, attempting to re-register the same name with PyArrow raises `pa.lib.ArrowKeyError` (proving it is registered) | | `test_register_populates_polars_registry` | After `register()`, `pl.from_arrow(pa.array([...], type=ext_type_instance)).dtype` is a `pl.BaseExtension` instance | -| `test_register_duplicate_raises` | Second `register()` with same `extension_name` → `ValueError` | +| `test_register_duplicate_raises` | Second `register()` on the same registry instance with same `extension_name` → `ValueError` | +| `test_register_global_collision_same_params` | Fresh registry instance registers same name+params as a previous registry → idempotent (no error) | +| `test_register_global_collision_different_params` | Fresh registry instance registers same name but different `storage_type` → `ValueError` with both old and new params shown | | `test_get_converter_for_name_miss` | Unknown name returns `None` | | `test_get_converter_for_python_type_exact` | Exact type lookup returns converter | | `test_get_converter_for_python_type_subclass` | Subclass of registered type returns converter | From 0a0cf35d0581efcafc54be56ca9b86dd8c255c0c Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 00:33:03 +0000 Subject: [PATCH 003/206] docs(extension_types): use direct registry inspection instead of shadow dicts --- ...26-06-14-extension-type-registry-design.md | 75 +++++++++++-------- 1 file changed, 43 insertions(+), 32 deletions(-) diff --git a/superpowers/specs/2026-06-14-extension-type-registry-design.md b/superpowers/specs/2026-06-14-extension-type-registry-design.md index bac44864..2a269a5d 100644 --- a/superpowers/specs/2026-06-14-extension-type-registry-design.md +++ b/superpowers/specs/2026-06-14-extension-type-registry-design.md @@ -85,32 +85,50 @@ insertion order wins (Python 3.7+ dict ordering). Returns `None` if nothing matc All other public methods are straightforward dict lookups or list returns. -### Module-level global-registry tracking +### Private helpers -Two module-level dicts shadow the process-global PA and Polars registries so that equivalence -checks can be performed without touching private internals of either library: +Both helpers read the actual process-global registries maintained by PyArrow and Polars +directly, rather than maintaining shadow dicts. This means external registrations (made +outside of `ExtensionTypeRegistry`) are visible too. -```python -_ARROW_REGISTRY: dict[str, tuple[pa.DataType, bytes]] = {} -# name → (storage_type, extension_metadata_bytes) +The relevant internals, verified against the installed versions: + +- **PyArrow:** `pa.lib._python_extension_types_registry` — a `list` of live `pa.ExtensionType` + instances. Each exposes `.extension_name`, `.storage_type`, and `.__arrow_ext_serialize__()` + (the metadata bytes). Lookup is a linear scan by `extension_name`. +- **Polars:** `polars.datatypes.extension._REGISTRY` — a `dict[str, type[BaseExtension]]`. + Instantiate the stored class (zero args) to read `.ext_storage()` and `.ext_metadata()`. + +Both are private APIs. If either changes in a future library version, `registry.py` is the +only place to update. + +**`_find_in_arrow_registry(name: str) -> pa.ExtensionType | None`** -_POLARS_REGISTRY: dict[str, tuple[pl.DataType, str | None]] = {} -# name → (pl_storage_dtype, metadata_str) +```python +return next( + (t for t in pa.lib._python_extension_types_registry if t.extension_name == name), + None, +) ``` -These dicts are module-level singletons and are shared across all `ExtensionTypeRegistry` -instances in the same process. They track exactly what has been registered in the global -PA/Polars registries by *any* `ExtensionTypeRegistry` call. They are never cleared. +**`_find_in_polars_registry(name: str) -> tuple[pl.DataType, str | None] | None`** -### Private helpers +```python +from polars.datatypes.extension import _REGISTRY +cls = _REGISTRY.get(name) +if cls is None: + return None +inst = cls() +return inst.ext_storage(), inst.ext_metadata() +``` **`_register_arrow_ext_type(converter)`** 1. Compute `metadata = converter.extension_metadata or b""` and `storage = converter.storage_type`. -2. If `converter.extension_name` is already in `_ARROW_REGISTRY`: - - Compare `(existing_storage, existing_metadata)` with `(storage, metadata)` using `==`. - - Match → return immediately (idempotent; safe for module reload and test-suite reuse). - - Mismatch → raise `ValueError` with both the existing and attempted parameters. +2. Call `_find_in_arrow_registry(converter.extension_name)`. + - Found, same `storage_type` and `metadata` (using `==`) → return immediately (idempotent). + - Found, different params → raise `ValueError` showing existing vs. attempted values. + - Not found → proceed to step 3. 3. Dynamically create a `pa.ExtensionType` subclass via `type()`: ```python @@ -127,10 +145,7 @@ class _ArrowExt_(pa.ExtensionType): return cls() ``` -4. Call `pa.register_extension_type(instance)`. If PyArrow raises `ArrowKeyError`, the name - was registered externally (not through our registry) — re-raise as `ValueError` explaining - that the name is already taken by an external registration and equivalence cannot be verified. -5. On success: `_ARROW_REGISTRY[name] = (storage, metadata)`. +4. Call `pa.register_extension_type(instance)`. Name sanitization: replace all non-alphanumeric characters with `_` (e.g. `pathlib.Path` → `_ArrowExt_pathlib_Path`). Cosmetic only — PyArrow identifies types by @@ -138,7 +153,7 @@ Name sanitization: replace all non-alphanumeric characters with `_` (e.g. **`_register_polars_ext_type(converter)`** -1. Derive Polars storage dtype by converting an empty PA array of the storage type: +1. Derive Polars storage dtype by converting an empty PA array: ```python pl_storage = pl.from_arrow(pa.array([], type=converter.storage_type)).dtype @@ -149,10 +164,10 @@ This handles all Arrow → Polars mappings (`pa.large_utf8()` → `pl.String`, manually-maintained table. 2. Compute `metadata_str = converter.extension_metadata.decode("utf-8") if converter.extension_metadata else None`. -3. If `converter.extension_name` is already in `_POLARS_REGISTRY`: - - Compare `(existing_pl_storage, existing_metadata_str)` with `(pl_storage, metadata_str)` using `==`. - - Match → return immediately (idempotent). - - Mismatch → raise `ValueError` with both the existing and attempted parameters. +3. Call `_find_in_polars_registry(converter.extension_name)`. + - Found, same `ext_storage()` and `ext_metadata()` → return immediately (idempotent). + - Found, different params → raise `ValueError` showing existing vs. attempted values. + - Not found → proceed to step 4. 4. Dynamically create a `pl.BaseExtension` subclass via `type()`: ```python @@ -166,10 +181,7 @@ class _PolarsExt_(pl.BaseExtension): return cls() ``` -5. Call `pl.register_extension_type(converter.extension_name, _PolarsExtType)`. If Polars raises - `ValueError` (already registered externally), re-raise as `ValueError` explaining that the - name is already taken and equivalence cannot be verified. -6. On success: `_POLARS_REGISTRY[name] = (pl_storage, metadata_str)`. +5. Call `pl.register_extension_type(converter.extension_name, _PolarsExtType)`. Note: `pl.BaseExtension` is marked unstable in Polars. The `polars>=1.36.0` constraint is a forward commitment; if a future Polars release changes this API, the helpers in `registry.py` @@ -213,9 +225,8 @@ Polars 1.36.0 is the first release that exports `pl.BaseExtension` and | Situation | Behaviour | |---|---| | Duplicate `extension_name` in `register()` (same `ExtensionTypeRegistry` instance) | `ValueError` with the offending name | -| PA/Polars global registry has the name, registered via our tracking dicts, same params | Idempotent — return silently (safe for module reload and test-suite reuse) | -| PA/Polars global registry has the name, registered via our tracking dicts, different params | `ValueError` showing existing vs. attempted `storage_type` and `metadata` | -| PA/Polars global registry has the name, registered externally (not via our dicts) | `ValueError` explaining the name is taken by an external source and equivalence cannot be verified | +| PA/Polars global registry has the name, same params (any source) | Idempotent — return silently (safe for module reload and test-suite reuse) | +| PA/Polars global registry has the name, different params (any source) | `ValueError` showing existing vs. attempted `storage_type` and `metadata` | | `get_converter_for_name` / `get_converter_for_python_type` miss | Returns `None` | | Non-`ExtensionTypeConverter` passed to `register()` | `beartype` raises `BeartypeCallHintParamViolation` at the call site | From e7808f0c9b39d526ded83c984d535d7d1d766a4d Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 00:40:10 +0000 Subject: [PATCH 004/206] docs(extension_types): use shadow dicts over private internals; error on external registrations --- ...26-06-14-extension-type-registry-design.md | 87 +++++++++---------- 1 file changed, 42 insertions(+), 45 deletions(-) diff --git a/superpowers/specs/2026-06-14-extension-type-registry-design.md b/superpowers/specs/2026-06-14-extension-type-registry-design.md index 2a269a5d..b955675d 100644 --- a/superpowers/specs/2026-06-14-extension-type-registry-design.md +++ b/superpowers/specs/2026-06-14-extension-type-registry-design.md @@ -85,50 +85,40 @@ insertion order wins (Python 3.7+ dict ordering). Returns `None` if nothing matc All other public methods are straightforward dict lookups or list returns. -### Private helpers - -Both helpers read the actual process-global registries maintained by PyArrow and Polars -directly, rather than maintaining shadow dicts. This means external registrations (made -outside of `ExtensionTypeRegistry`) are visible too. - -The relevant internals, verified against the installed versions: - -- **PyArrow:** `pa.lib._python_extension_types_registry` — a `list` of live `pa.ExtensionType` - instances. Each exposes `.extension_name`, `.storage_type`, and `.__arrow_ext_serialize__()` - (the metadata bytes). Lookup is a linear scan by `extension_name`. -- **Polars:** `polars.datatypes.extension._REGISTRY` — a `dict[str, type[BaseExtension]]`. - Instantiate the stored class (zero args) to read `.ext_storage()` and `.ext_metadata()`. - -Both are private APIs. If either changes in a future library version, `registry.py` is the -only place to update. +### Module-level shadow dicts -**`_find_in_arrow_registry(name: str) -> pa.ExtensionType | None`** +Two module-level dicts track what this code has registered in the process-global PA and Polars +registries: ```python -return next( - (t for t in pa.lib._python_extension_types_registry if t.extension_name == name), - None, -) +_ARROW_REGISTRY: dict[str, tuple[pa.DataType, bytes]] = {} +# extension_name → (storage_type, metadata_bytes) + +_POLARS_REGISTRY: dict[str, tuple[pl.DataType, str | None]] = {} +# extension_name → (pl_storage_dtype, metadata_str) ``` -**`_find_in_polars_registry(name: str) -> tuple[pl.DataType, str | None] | None`** +These are the only mechanism used for equivalence checking. Neither PyArrow nor Polars exposes +a stable public API for looking up a previously registered extension type by name — PyArrow has +no such API at all, and Polars' `get_extension_type` is marked `@unstable()`. Maintaining our +own dicts avoids any dependency on library internals and keeps correctness entirely within our +control. -```python -from polars.datatypes.extension import _REGISTRY -cls = _REGISTRY.get(name) -if cls is None: - return None -inst = cls() -return inst.ext_storage(), inst.ext_metadata() -``` +Limitation: equivalence can only be verified for types registered via `ExtensionTypeRegistry`. +A type registered externally (directly via `pa.register_extension_type` or +`pl.register_extension_type`, bypassing our code) will not appear in these dicts, so a +subsequent `register()` call with the same name will hit the library-level duplicate error and +raise — this is intentional and safe. + +### Private helpers **`_register_arrow_ext_type(converter)`** 1. Compute `metadata = converter.extension_metadata or b""` and `storage = converter.storage_type`. -2. Call `_find_in_arrow_registry(converter.extension_name)`. - - Found, same `storage_type` and `metadata` (using `==`) → return immediately (idempotent). - - Found, different params → raise `ValueError` showing existing vs. attempted values. - - Not found → proceed to step 3. +2. If `converter.extension_name` is in `_ARROW_REGISTRY`: + - Compare `(existing_storage, existing_metadata)` with `(storage, metadata)` using `==`. + - Match → return immediately (idempotent; safe for module reload and test-suite reuse). + - Mismatch → raise `ValueError` showing both the existing and attempted values. 3. Dynamically create a `pa.ExtensionType` subclass via `type()`: ```python @@ -145,7 +135,10 @@ class _ArrowExt_(pa.ExtensionType): return cls() ``` -4. Call `pa.register_extension_type(instance)`. +4. Call `pa.register_extension_type(instance)`. If PyArrow raises `ArrowKeyError`, the name + was registered externally — re-raise as `ValueError` with a message explaining that the + name is already taken by an external registration and equivalence cannot be verified. +5. On success: `_ARROW_REGISTRY[name] = (storage, metadata)`. Name sanitization: replace all non-alphanumeric characters with `_` (e.g. `pathlib.Path` → `_ArrowExt_pathlib_Path`). Cosmetic only — PyArrow identifies types by @@ -164,10 +157,10 @@ This handles all Arrow → Polars mappings (`pa.large_utf8()` → `pl.String`, manually-maintained table. 2. Compute `metadata_str = converter.extension_metadata.decode("utf-8") if converter.extension_metadata else None`. -3. Call `_find_in_polars_registry(converter.extension_name)`. - - Found, same `ext_storage()` and `ext_metadata()` → return immediately (idempotent). - - Found, different params → raise `ValueError` showing existing vs. attempted values. - - Not found → proceed to step 4. +3. If `converter.extension_name` is in `_POLARS_REGISTRY`: + - Compare `(existing_pl_storage, existing_metadata_str)` with `(pl_storage, metadata_str)` using `==`. + - Match → return immediately (idempotent). + - Mismatch → raise `ValueError` showing both the existing and attempted values. 4. Dynamically create a `pl.BaseExtension` subclass via `type()`: ```python @@ -181,11 +174,14 @@ class _PolarsExt_(pl.BaseExtension): return cls() ``` -5. Call `pl.register_extension_type(converter.extension_name, _PolarsExtType)`. +5. Call `pl.register_extension_type(converter.extension_name, _PolarsExtType)`. If Polars raises + `ValueError` (name already registered externally) — re-raise as `ValueError` with the same + explanation as the PyArrow case. +6. On success: `_POLARS_REGISTRY[name] = (pl_storage, metadata_str)`. -Note: `pl.BaseExtension` is marked unstable in Polars. The `polars>=1.36.0` constraint is a -forward commitment; if a future Polars release changes this API, the helpers in `registry.py` -are the only place to update. +Note: `pl.BaseExtension` and `pl.register_extension_type` are marked `@unstable()` in Polars. +The `polars>=1.36.0` constraint is a forward commitment; if the API changes, `registry.py` is +the only place to update. --- @@ -225,8 +221,9 @@ Polars 1.36.0 is the first release that exports `pl.BaseExtension` and | Situation | Behaviour | |---|---| | Duplicate `extension_name` in `register()` (same `ExtensionTypeRegistry` instance) | `ValueError` with the offending name | -| PA/Polars global registry has the name, same params (any source) | Idempotent — return silently (safe for module reload and test-suite reuse) | -| PA/Polars global registry has the name, different params (any source) | `ValueError` showing existing vs. attempted `storage_type` and `metadata` | +| PA/Polars name in shadow dict, same params | Idempotent — return silently (safe for module reload and test-suite reuse) | +| PA/Polars name in shadow dict, different params | `ValueError` showing existing vs. attempted `storage_type` and `metadata` | +| PA/Polars name NOT in shadow dict but already in global registry (external registration) | `ValueError` — name is taken, equivalence cannot be verified | | `get_converter_for_name` / `get_converter_for_python_type` miss | Returns `None` | | Non-`ExtensionTypeConverter` passed to `register()` | `beartype` raises `BeartypeCallHintParamViolation` at the call site | From b39727fa75ff90f7bf912d8caa2927ed85ef03db Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 00:45:56 +0000 Subject: [PATCH 005/206] docs(extension_types): document why external registrations are an error --- .../2026-06-14-extension-type-registry-design.md | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/superpowers/specs/2026-06-14-extension-type-registry-design.md b/superpowers/specs/2026-06-14-extension-type-registry-design.md index b955675d..64510fc7 100644 --- a/superpowers/specs/2026-06-14-extension-type-registry-design.md +++ b/superpowers/specs/2026-06-14-extension-type-registry-design.md @@ -106,9 +106,12 @@ control. Limitation: equivalence can only be verified for types registered via `ExtensionTypeRegistry`. A type registered externally (directly via `pa.register_extension_type` or -`pl.register_extension_type`, bypassing our code) will not appear in these dicts, so a -subsequent `register()` call with the same name will hit the library-level duplicate error and -raise — this is intentional and safe. +`pl.register_extension_type`, bypassing our code) will not appear in these dicts. When a +subsequent `register()` call hits the library-level duplicate error for such a name, we raise +rather than silently continuing. This is intentional: without knowing what was registered +externally we cannot guarantee that the same extension name maps to the same Python type and +underlying storage type. Silently proceeding could cause silent data corruption or misrouted +conversions at read time. ### Private helpers @@ -223,7 +226,7 @@ Polars 1.36.0 is the first release that exports `pl.BaseExtension` and | Duplicate `extension_name` in `register()` (same `ExtensionTypeRegistry` instance) | `ValueError` with the offending name | | PA/Polars name in shadow dict, same params | Idempotent — return silently (safe for module reload and test-suite reuse) | | PA/Polars name in shadow dict, different params | `ValueError` showing existing vs. attempted `storage_type` and `metadata` | -| PA/Polars name NOT in shadow dict but already in global registry (external registration) | `ValueError` — name is taken, equivalence cannot be verified | +| PA/Polars name NOT in shadow dict but already in global registry (external registration) | `ValueError` — raised deliberately because we cannot guarantee the externally registered type maps to the same Python class and underlying storage type; silently proceeding risks data corruption or misrouted conversions at read time | | `get_converter_for_name` / `get_converter_for_python_type` miss | Returns `None` | | Non-`ExtensionTypeConverter` passed to `register()` | `beartype` raises `BeartypeCallHintParamViolation` at the call site | From 0558e9f1986f09e4295bf98fcb81906d9ba77037 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 00:48:58 +0000 Subject: [PATCH 006/206] docs(extension_types): reference PLT-1665 in out-of-scope section --- .../specs/2026-06-14-extension-type-registry-design.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/superpowers/specs/2026-06-14-extension-type-registry-design.md b/superpowers/specs/2026-06-14-extension-type-registry-design.md index 64510fc7..5e9927ef 100644 --- a/superpowers/specs/2026-06-14-extension-type-registry-design.md +++ b/superpowers/specs/2026-06-14-extension-type-registry-design.md @@ -268,3 +268,8 @@ avoid cross-test interference (since those globals persist for the process lifet - Wiring `extension_type_registry` into `DataContext` — that is PLT-1660. - Schema analysis helpers (finding extension-type columns in a schema) — not needed until PLT-1660. - Thread safety — registration is expected to happen at import time before any concurrent I/O. +- Interop with extension types registered externally by third-party libraries (e.g., GeoPandas, + GeoArrow) — tracked in PLT-1665. The current design deliberately errors on external + registrations because we cannot guarantee the same name maps to the same Python class and + storage type; a future `register_external` opt-in will require the user to supply an explicit + converter. From ca0b80adaa6fc205da8405203f2558f7f4ed9915 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 01:02:07 +0000 Subject: [PATCH 007/206] docs(extension_types): add parquet round-trip test after verifying end-to-end --- superpowers/specs/2026-06-14-extension-type-registry-design.md | 1 + 1 file changed, 1 insertion(+) diff --git a/superpowers/specs/2026-06-14-extension-type-registry-design.md b/superpowers/specs/2026-06-14-extension-type-registry-design.md index 5e9927ef..ad097ad5 100644 --- a/superpowers/specs/2026-06-14-extension-type-registry-design.md +++ b/superpowers/specs/2026-06-14-extension-type-registry-design.md @@ -258,6 +258,7 @@ avoid cross-test interference (since those globals persist for the process lifet | `test_list_extension_names` | Returns correct list of registered names | | `test_list_python_types` | Returns correct list of registered types | | `test_arrow_polars_round_trip` | PA ext array → `pl.from_arrow` → `to_arrow()` preserves extension type and values | +| `test_parquet_round_trip` | PA ext array written to Parquet, read back via `pq.read_table` — extension type restored, `storage_to_python` recovers original Python objects | | `test_extension_type_registry_module_instance` | `extension_types.extension_type_registry` is an `ExtensionTypeRegistry` instance and starts empty | --- From 8cece9baaeeaf40f3c5d4a9bafbfffbf2c587426 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 01:02:29 +0000 Subject: [PATCH 008/206] docs(extension_types): add python class round-trip test to spec --- superpowers/specs/2026-06-14-extension-type-registry-design.md | 1 + 1 file changed, 1 insertion(+) diff --git a/superpowers/specs/2026-06-14-extension-type-registry-design.md b/superpowers/specs/2026-06-14-extension-type-registry-design.md index ad097ad5..788b872f 100644 --- a/superpowers/specs/2026-06-14-extension-type-registry-design.md +++ b/superpowers/specs/2026-06-14-extension-type-registry-design.md @@ -257,6 +257,7 @@ avoid cross-test interference (since those globals persist for the process lifet | `test_has_python_type` | Returns `True` after register, `False` before | | `test_list_extension_names` | Returns correct list of registered names | | `test_list_python_types` | Returns correct list of registered types | +| `test_python_class_round_trip` | A concrete Python class (e.g., a `Color` wrapper around a hex string) is serialised to an Arrow extension array via `converter.python_to_storage`, then deserialised back via `converter.storage_to_python`; the recovered objects equal the originals. Exercises the full converter contract end-to-end. | | `test_arrow_polars_round_trip` | PA ext array → `pl.from_arrow` → `to_arrow()` preserves extension type and values | | `test_parquet_round_trip` | PA ext array written to Parquet, read back via `pq.read_table` — extension type restored, `storage_to_python` recovers original Python objects | | `test_extension_type_registry_module_instance` | `extension_types.extension_type_registry` is an `ExtensionTypeRegistry` instance and starts empty | From 0d0ac28944c5f6687403ef6a6a447d19beca2917 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 01:14:45 +0000 Subject: [PATCH 009/206] chore(deps): restore polars>=1.36.0 range constraint (PLT-1653) Co-Authored-By: Claude Sonnet 4.6 --- pyproject.toml | 2 +- uv.lock | 32 +++++++++++++++++++++++--------- 2 files changed, 24 insertions(+), 10 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 71e4d276..56ebeeba 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,7 +14,7 @@ dependencies = [ "pandas>=2.2.3", "pyyaml>=6.0.2", "pyarrow>=20.0.0", - 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We use our own dicts rather than querying library internals +# because neither PyArrow nor Polars exposes a stable public API for looking +# up a previously registered extension type by name. +# +# Limitation: types registered externally (directly via +# pa.register_extension_type / pl.register_extension_type, bypassing this +# module) will not appear here. A subsequent register() call for the same +# name will detect the conflict via the library-level error and raise, +# because without knowing what was registered externally we cannot guarantee +# the same extension name maps to the same Python class and underlying +# storage type — silently proceeding risks data corruption or misrouted +# conversions at read time. +# --------------------------------------------------------------------------- + +_ARROW_REGISTRY: dict[str, tuple[pa.DataType, bytes]] = {} +# extension_name -> (storage_type, metadata_bytes) + +_POLARS_REGISTRY: dict[str, tuple[pl.DataType, str | None]] = {} +# extension_name -> (pl_storage_dtype, metadata_str) + + +def _sanitize(name: str) -> str: + return re.sub(r"[^A-Za-z0-9]", "_", name) + + +def _register_arrow_ext_type(converter: ExtensionTypeConverter) -> None: + """Register a ``pa.ExtensionType`` subclass for *converter* in PyArrow's global registry.""" + name = converter.extension_name + metadata = converter.extension_metadata or b"" + storage = converter.storage_type + + if name in _ARROW_REGISTRY: + existing_storage, existing_metadata = _ARROW_REGISTRY[name] + if existing_storage == storage and existing_metadata == metadata: + return # idempotent — safe for module reload and test-suite reuse + raise ValueError( + f"Extension type '{name}' is already registered in the PyArrow global registry " + f"with different parameters.\n" + f" Registered: storage_type={existing_storage!r}, metadata={existing_metadata!r}\n" + f" Attempted: storage_type={storage!r}, metadata={metadata!r}" + ) + + _name, _storage, _metadata = name, storage, metadata + ArrowExtType = type( + f"_ArrowExt_{_sanitize(name)}", + (pa.ExtensionType,), + { + "__init__": lambda self: pa.ExtensionType.__init__(self, _storage, _name), + "__arrow_ext_serialize__": lambda self: _metadata, + "__arrow_ext_deserialize__": classmethod(lambda cls, st, se: cls()), + }, + ) + + try: + pa.register_extension_type(ArrowExtType()) + except pa.lib.ArrowKeyError: + raise ValueError( + f"Extension type '{name}' is already registered in the PyArrow global registry " + f"by an external source. Cannot verify equivalence; orcapod requires exclusive " + f"ownership of extension type registrations to prevent data corruption or " + f"misrouted conversions. See PLT-1665 for future interop support." + ) from None + + _ARROW_REGISTRY[name] = (storage, metadata) + + +def _register_polars_ext_type(converter: ExtensionTypeConverter) -> None: + """Register a ``pl.BaseExtension`` subclass for *converter* in Polars' global registry.""" + name = converter.extension_name + metadata = converter.extension_metadata + metadata_str = metadata.decode("utf-8") if metadata else None + pl_storage = pl.from_arrow(pa.array([], type=converter.storage_type)).dtype + + if name in _POLARS_REGISTRY: + existing_storage, existing_meta = _POLARS_REGISTRY[name] + if existing_storage == pl_storage and existing_meta == metadata_str: + return # idempotent + raise ValueError( + f"Extension type '{name}' is already registered in the Polars global registry " + f"with different parameters.\n" + f" Registered: storage_dtype={existing_storage!r}, metadata={existing_meta!r}\n" + f" Attempted: storage_dtype={pl_storage!r}, metadata={metadata_str!r}" + ) + + _name, _pl_storage, _meta_str = name, pl_storage, metadata_str + PolarsExtType = type( + f"_PolarsExt_{_sanitize(name)}", + (pl.BaseExtension,), + { + "__init__": lambda self: pl.BaseExtension.__init__(self, _name, _pl_storage, _meta_str), + "ext_from_params": classmethod(lambda cls, n, s, m: cls()), + }, + ) + + try: + pl.register_extension_type(name, PolarsExtType) + except ValueError as exc: + raise ValueError( + f"Extension type '{name}' is already registered in the Polars global registry " + f"by an external source. Cannot verify equivalence; orcapod requires exclusive " + f"ownership of extension type registrations to prevent data corruption or " + f"misrouted conversions. See PLT-1665 for future interop support." + ) from exc + + _POLARS_REGISTRY[name] = (pl_storage, metadata_str) + + +class ExtensionTypeRegistry: + """Registry for ``ExtensionTypeConverter`` instances. + + Registering a converter automatically registers the corresponding + extension type in both PyArrow's and Polars' global registries. + + The primary lookup key is ``extension_name``; a secondary lookup by + ``python_type`` is provided for the write path. + + Example: + >>> registry = ExtensionTypeRegistry() + >>> registry.register(my_converter) + >>> conv = registry.get_converter_for_name("my.Type") + """ + + def __init__(self) -> None: + self._by_name: dict[str, ExtensionTypeConverter] = {} + self._by_python_type: dict[type, ExtensionTypeConverter] = {} + + def register(self, converter: ExtensionTypeConverter) -> None: + """Register *converter* and its PyArrow/Polars extension types. + + Args: + converter: An ``ExtensionTypeConverter`` instance to register. + + Raises: + ValueError: If ``converter.extension_name`` is already registered + in this registry instance. + ValueError: If the extension name is already in the PA or Polars + global registry with different parameters. + ValueError: If the extension name is already in the PA or Polars + global registry from an external source (equivalence cannot + be verified). + """ + name = converter.extension_name + if name in self._by_name: + raise ValueError( + f"Extension type '{name}' is already registered in this registry." + ) + self._by_name[name] = converter + self._by_python_type[converter.python_type] = converter + _register_arrow_ext_type(converter) + _register_polars_ext_type(converter) + + def get_converter_for_name(self, name: str) -> ExtensionTypeConverter | None: + """Return the converter registered under *name*, or ``None``.""" + return self._by_name.get(name) + + def get_converter_for_python_type(self, python_type: type) -> ExtensionTypeConverter | None: + """Return the converter for *python_type*, or ``None``. + + Checks exact match first, then falls back to an ``issubclass`` scan. + When multiple registered types are superclasses of *python_type*, the + one registered first wins (insertion-order dict, Python 3.7+). + """ + converter = self._by_python_type.get(python_type) + if converter is not None: + return converter + for registered_type, conv in self._by_python_type.items(): + if issubclass(python_type, registered_type): + return conv + return None + + def has_extension_name(self, name: str) -> bool: + """Return ``True`` if *name* is registered.""" + return name in self._by_name + + def has_python_type(self, python_type: type) -> bool: + """Return ``True`` if *python_type* (or a subclass) is registered.""" + return self.get_converter_for_python_type(python_type) is not None + + def list_extension_names(self) -> list[str]: + """Return all registered extension names in insertion order.""" + return list(self._by_name.keys()) + + def list_python_types(self) -> list[type]: + """Return all registered Python types in insertion order.""" + return list(self._by_python_type.keys()) diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py new file mode 100644 index 00000000..3fe4efd5 --- /dev/null +++ b/tests/test_extension_types/test_registry.py @@ -0,0 +1,141 @@ +"""Tests for ExtensionTypeRegistry.""" + +from __future__ import annotations + +import uuid + +import pyarrow as pa +import pytest + +from orcapod.extension_types.protocols import ExtensionTypeConverter +from orcapod.extension_types.registry import ExtensionTypeRegistry + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- + +def _unique_name() -> str: + """Unique extension name to avoid cross-test global-registry collisions.""" + return f"test.registry.{uuid.uuid4().hex[:8]}" + + +def _make_stub( + name: str | None = None, + storage: pa.DataType | None = None, + metadata: bytes | None = b"test.category", + py_type: type = str, +) -> ExtensionTypeConverter: + """Factory for minimal ExtensionTypeConverter conforming stubs.""" + _name = name or _unique_name() + _storage = storage if storage is not None else pa.large_utf8() + _metadata = metadata + _py_type = py_type + + class _Stub: + @property + def extension_name(self) -> str: + return _name + + @property + def extension_metadata(self) -> bytes | None: + return _metadata + + @property + def storage_type(self) -> pa.DataType: + return _storage + + @property + def python_type(self) -> type: + return _py_type + + def python_to_storage(self, value): + return str(value) + + def storage_to_python(self, storage_value): + return storage_value + + return _Stub() + + +# --------------------------------------------------------------------------- +# Pure-Python registry tests (no PA/Polars global state required) +# --------------------------------------------------------------------------- + +def test_register_stores_converter(): + registry = ExtensionTypeRegistry() + conv = _make_stub() + registry.register(conv) + assert registry.get_converter_for_name(conv.extension_name) is conv + + +def test_register_duplicate_raises(): + registry = ExtensionTypeRegistry() + name = _unique_name() + registry.register(_make_stub(name=name)) + with pytest.raises(ValueError, match=name): + registry.register(_make_stub(name=name)) + + +def test_get_converter_for_name_miss(): + registry = ExtensionTypeRegistry() + assert registry.get_converter_for_name("does.not.exist") is None + + +def test_get_converter_for_python_type_exact(): + registry = ExtensionTypeRegistry() + conv = _make_stub(py_type=bytes) + registry.register(conv) + assert registry.get_converter_for_python_type(bytes) is conv + + +def test_get_converter_for_python_type_subclass(): + class _Base: + pass + + class _Child(_Base): + pass + + registry = ExtensionTypeRegistry() + conv = _make_stub(py_type=_Base) + registry.register(conv) + assert registry.get_converter_for_python_type(_Child) is conv + + +def test_get_converter_for_python_type_miss(): + registry = ExtensionTypeRegistry() + assert registry.get_converter_for_python_type(int) is None + + +def test_has_extension_name(): + registry = ExtensionTypeRegistry() + conv = _make_stub() + assert not registry.has_extension_name(conv.extension_name) + registry.register(conv) + assert registry.has_extension_name(conv.extension_name) + + +def test_has_python_type(): + registry = ExtensionTypeRegistry() + conv = _make_stub(py_type=float) + assert not registry.has_python_type(float) + registry.register(conv) + assert registry.has_python_type(float) + + +def test_list_extension_names(): + registry = ExtensionTypeRegistry() + a = _make_stub() + b = _make_stub() + registry.register(a) + registry.register(b) + assert registry.list_extension_names() == [a.extension_name, b.extension_name] + + +def test_list_python_types(): + registry = ExtensionTypeRegistry() + a = _make_stub(py_type=bytes) + b = _make_stub(py_type=float) + registry.register(a) + registry.register(b) + assert registry.list_python_types() == [bytes, float] From c6de150e5579e7133a9d9ca95fa4322b2e238cd4 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 01:21:15 +0000 Subject: [PATCH 011/206] fix(extension_types): fix registry.py docstring style and suppress polars exc chain (PLT-1653) - Change `from exc` to `from None` in _register_polars_ext_type to suppress internal Polars error details (matches Arrow helper pattern) - Add docstring to _sanitize function documenting its purpose - Replace all double-backtick RST notation with single-backtick Google style throughout registry.py (docstrings in functions and class methods) Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/registry.py | 34 +++++++++++++++---------- 1 file changed, 20 insertions(+), 14 deletions(-) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index b08246b0..525d5841 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -38,11 +38,17 @@ def _sanitize(name: str) -> str: + """Replace non-alphanumeric characters with underscores. + + Used to produce a valid Python identifier for the `type()` class-name + argument when creating dynamic `pa.ExtensionType` / `pl.BaseExtension` + subclasses. + """ return re.sub(r"[^A-Za-z0-9]", "_", name) def _register_arrow_ext_type(converter: ExtensionTypeConverter) -> None: - """Register a ``pa.ExtensionType`` subclass for *converter* in PyArrow's global registry.""" + """Register a `pa.ExtensionType` subclass for *converter* in PyArrow's global registry.""" name = converter.extension_name metadata = converter.extension_metadata or b"" storage = converter.storage_type @@ -83,7 +89,7 @@ def _register_arrow_ext_type(converter: ExtensionTypeConverter) -> None: def _register_polars_ext_type(converter: ExtensionTypeConverter) -> None: - """Register a ``pl.BaseExtension`` subclass for *converter* in Polars' global registry.""" + """Register a `pl.BaseExtension` subclass for *converter* in Polars' global registry.""" name = converter.extension_name metadata = converter.extension_metadata metadata_str = metadata.decode("utf-8") if metadata else None @@ -112,25 +118,25 @@ def _register_polars_ext_type(converter: ExtensionTypeConverter) -> None: try: pl.register_extension_type(name, PolarsExtType) - except ValueError as exc: + except ValueError: raise ValueError( f"Extension type '{name}' is already registered in the Polars global registry " f"by an external source. Cannot verify equivalence; orcapod requires exclusive " f"ownership of extension type registrations to prevent data corruption or " f"misrouted conversions. See PLT-1665 for future interop support." - ) from exc + ) from None _POLARS_REGISTRY[name] = (pl_storage, metadata_str) class ExtensionTypeRegistry: - """Registry for ``ExtensionTypeConverter`` instances. + """Registry for `ExtensionTypeConverter` instances. Registering a converter automatically registers the corresponding extension type in both PyArrow's and Polars' global registries. - The primary lookup key is ``extension_name``; a secondary lookup by - ``python_type`` is provided for the write path. + The primary lookup key is `extension_name`; a secondary lookup by + `python_type` is provided for the write path. Example: >>> registry = ExtensionTypeRegistry() @@ -146,10 +152,10 @@ def register(self, converter: ExtensionTypeConverter) -> None: """Register *converter* and its PyArrow/Polars extension types. Args: - converter: An ``ExtensionTypeConverter`` instance to register. + converter: An `ExtensionTypeConverter` instance to register. Raises: - ValueError: If ``converter.extension_name`` is already registered + ValueError: If `converter.extension_name` is already registered in this registry instance. ValueError: If the extension name is already in the PA or Polars global registry with different parameters. @@ -168,13 +174,13 @@ def register(self, converter: ExtensionTypeConverter) -> None: _register_polars_ext_type(converter) def get_converter_for_name(self, name: str) -> ExtensionTypeConverter | None: - """Return the converter registered under *name*, or ``None``.""" + """Return the converter registered under *name*, or `None`.""" return self._by_name.get(name) def get_converter_for_python_type(self, python_type: type) -> ExtensionTypeConverter | None: - """Return the converter for *python_type*, or ``None``. + """Return the converter for *python_type*, or `None`. - Checks exact match first, then falls back to an ``issubclass`` scan. + Checks exact match first, then falls back to an `issubclass` scan. When multiple registered types are superclasses of *python_type*, the one registered first wins (insertion-order dict, Python 3.7+). """ @@ -187,11 +193,11 @@ def get_converter_for_python_type(self, python_type: type) -> ExtensionTypeConve return None def has_extension_name(self, name: str) -> bool: - """Return ``True`` if *name* is registered.""" + """Return `True` if *name* is registered.""" return name in self._by_name def has_python_type(self, python_type: type) -> bool: - """Return ``True`` if *python_type* (or a subclass) is registered.""" + """Return `True` if *python_type* (or a subclass) is registered.""" return self.get_converter_for_python_type(python_type) is not None def list_extension_names(self) -> list[str]: From d2a8f10c4de42815830a275f20d013442d61f6ba Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 01:22:35 +0000 Subject: [PATCH 012/206] test(extension_types): add PyArrow global registry tests (PLT-1653) --- tests/test_extension_types/test_registry.py | 71 +++++++++++++++++++++ 1 file changed, 71 insertions(+) diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 3fe4efd5..4638bcca 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -139,3 +139,74 @@ def test_list_python_types(): registry.register(a) registry.register(b) assert registry.list_python_types() == [bytes, float] + + +# --------------------------------------------------------------------------- +# PyArrow global registry tests +# --------------------------------------------------------------------------- + +def test_register_populates_arrow_registry(): + """After register(), PA global registry contains the extension type.""" + conv = _make_stub() + registry = ExtensionTypeRegistry() + registry.register(conv) + + # If the name is registered, attempting to re-register it raises ArrowKeyError. + # This is the only stable public signal PyArrow provides. + class _Probe(pa.ExtensionType): + def __init__(self): + pa.ExtensionType.__init__(self, pa.large_utf8(), conv.extension_name) + def __arrow_ext_serialize__(self): + return b"" + @classmethod + def __arrow_ext_deserialize__(cls, st, se): + return cls() + + with pytest.raises(pa.lib.ArrowKeyError): + pa.register_extension_type(_Probe()) + + +def test_register_arrow_global_collision_same_params_is_idempotent(): + """A second registry instance registering the same name+params succeeds silently.""" + name = _unique_name() + conv = _make_stub(name=name, storage=pa.large_utf8(), metadata=b"cat") + + ExtensionTypeRegistry().register(conv) # first — populates _ARROW_REGISTRY + ExtensionTypeRegistry().register(conv) # second — should not raise + + +def test_register_arrow_global_collision_different_storage_raises(): + """A second registry using the same name but different storage_type raises.""" + name = _unique_name() + ExtensionTypeRegistry().register(_make_stub(name=name, storage=pa.large_utf8())) + + with pytest.raises(ValueError, match=name): + ExtensionTypeRegistry().register(_make_stub(name=name, storage=pa.large_binary())) + + +def test_register_arrow_global_collision_different_metadata_raises(): + """A second registry using the same name but different metadata raises.""" + name = _unique_name() + ExtensionTypeRegistry().register(_make_stub(name=name, metadata=b"original")) + + with pytest.raises(ValueError, match=name): + ExtensionTypeRegistry().register(_make_stub(name=name, metadata=b"different")) + + +def test_register_arrow_external_registration_raises(): + """A name registered directly with PyArrow (bypassing our registry) raises on register().""" + name = _unique_name() + + class _External(pa.ExtensionType): + def __init__(self): + pa.ExtensionType.__init__(self, pa.large_utf8(), name) + def __arrow_ext_serialize__(self): + return b"" + @classmethod + def __arrow_ext_deserialize__(cls, st, se): + return cls() + + pa.register_extension_type(_External()) # bypass our registry + + with pytest.raises(ValueError, match="external source"): + ExtensionTypeRegistry().register(_make_stub(name=name)) From 254c3b8b7fa860dcc8459d1e383211b7f7f22f3a Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 01:25:49 +0000 Subject: [PATCH 013/206] test(extension_types): add Polars global registry tests (PLT-1653) --- tests/test_extension_types/test_registry.py | 64 +++++++++++++++++++++ 1 file changed, 64 insertions(+) diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 4638bcca..8429d1a5 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -4,6 +4,7 @@ import uuid +import polars as pl import pyarrow as pa import pytest @@ -210,3 +211,66 @@ def __arrow_ext_deserialize__(cls, st, se): with pytest.raises(ValueError, match="external source"): ExtensionTypeRegistry().register(_make_stub(name=name)) + + +# --------------------------------------------------------------------------- +# Polars global registry tests +# --------------------------------------------------------------------------- + +def test_register_populates_polars_registry(): + """After register(), _POLARS_REGISTRY shadow dict contains the extension type.""" + conv = _make_stub(storage=pa.large_utf8()) + registry = ExtensionTypeRegistry() + registry.register(conv) + + from orcapod.extension_types.registry import _POLARS_REGISTRY + assert conv.extension_name in _POLARS_REGISTRY + stored_storage, stored_meta = _POLARS_REGISTRY[conv.extension_name] + assert stored_storage == pl.String + assert stored_meta == "test.category" + + +def test_register_polars_global_collision_same_params_is_idempotent(): + """A second registry instance registering the same name+params succeeds silently.""" + name = _unique_name() + conv = _make_stub(name=name, storage=pa.large_utf8(), metadata=b"cat") + + ExtensionTypeRegistry().register(conv) + ExtensionTypeRegistry().register(conv) # should not raise + + +def test_register_polars_global_collision_different_storage_raises(): + """A second registry using the same name but different storage_type raises.""" + name = _unique_name() + ExtensionTypeRegistry().register(_make_stub(name=name, storage=pa.large_utf8())) + + with pytest.raises(ValueError, match=name): + ExtensionTypeRegistry().register(_make_stub(name=name, storage=pa.large_binary())) + + +def test_register_polars_external_registration_raises(): + """A name registered directly with Polars (bypassing our registry) raises on register().""" + name = _unique_name() + + class _ExternalPL(pl.BaseExtension): + def __init__(self): + super().__init__(name, pl.String, None) + @classmethod + def ext_from_params(cls, n, s, m): + return cls() + + # Also register in PA first so we don't hit the PA external-registration error + class _ExternalPA(pa.ExtensionType): + def __init__(self): + pa.ExtensionType.__init__(self, pa.large_utf8(), name) + def __arrow_ext_serialize__(self): + return b"" + @classmethod + def __arrow_ext_deserialize__(cls, st, se): + return cls() + + pa.register_extension_type(_ExternalPA()) + pl.register_extension_type(name, _ExternalPL) + + with pytest.raises(ValueError, match="external source"): + ExtensionTypeRegistry().register(_make_stub(name=name)) From 4703856b24c527df7bcb26e073454acb70529ff7 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 01:28:26 +0000 Subject: [PATCH 014/206] test(extension_types): add end-to-end integration tests (PLT-1653) --- tests/test_extension_types/test_registry.py | 137 ++++++++++++++++++++ 1 file changed, 137 insertions(+) diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 8429d1a5..09bb079d 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -2,10 +2,14 @@ from __future__ import annotations +import pathlib +import tempfile import uuid +import warnings import polars as pl import pyarrow as pa +import pyarrow.parquet as pq import pytest from orcapod.extension_types.protocols import ExtensionTypeConverter @@ -274,3 +278,136 @@ def __arrow_ext_deserialize__(cls, st, se): with pytest.raises(ValueError, match="external source"): ExtensionTypeRegistry().register(_make_stub(name=name)) + + +# --------------------------------------------------------------------------- +# End-to-end integration tests +# --------------------------------------------------------------------------- + + +class _Color: + """Minimal Python class used to exercise the converter contract end-to-end.""" + def __init__(self, hex_str: str) -> None: + self.hex_str = hex_str + def __eq__(self, other: object) -> bool: + return isinstance(other, _Color) and self.hex_str == other.hex_str + def __repr__(self) -> str: + return f"Color({self.hex_str!r})" + + +def _make_color_converter() -> ExtensionTypeConverter: + """ExtensionTypeConverter for _Color, backed by pa.large_utf8() storage.""" + _name = _unique_name() + + class _ColorConverter: + @property + def extension_name(self) -> str: + return _name + @property + def extension_metadata(self) -> bytes | None: + return b"test.color" + @property + def storage_type(self) -> pa.DataType: + return pa.large_utf8() + @property + def python_type(self) -> type: + return _Color + def python_to_storage(self, value: _Color) -> str: + return value.hex_str + def storage_to_python(self, storage_value: str) -> _Color: + return _Color(storage_value) + + return _ColorConverter() + + +def _build_ext_array( + converter: ExtensionTypeConverter, + values: list, +) -> pa.Array: + """Build a PA extension array from Python values using the converter.""" + import re + + storage_values = [converter.python_to_storage(v) for v in values] + storage_arr = pa.array(storage_values, type=converter.storage_type) + + _name = converter.extension_name + _storage = converter.storage_type + _metadata = converter.extension_metadata or b"" + _sanitized = re.sub(r"[^A-Za-z0-9]", "_", _name) + + ArrowExtType = type( + f"_ArrowExt_{_sanitized}_probe", + (pa.ExtensionType,), + { + "__init__": lambda self: pa.ExtensionType.__init__(self, _storage, _name), + "__arrow_ext_serialize__": lambda self: _metadata, + "__arrow_ext_deserialize__": classmethod(lambda cls, st, se: cls()), + }, + ) + ext_type_instance = ArrowExtType() + return storage_arr.cast(ext_type_instance) + + +def test_python_class_round_trip(): + """Python objects -> Arrow extension array -> Python objects via converter methods.""" + conv = _make_color_converter() + registry = ExtensionTypeRegistry() + registry.register(conv) + + originals = [_Color("#ff0000"), _Color("#00ff00"), _Color("#0000ff")] + ext_arr = _build_ext_array(conv, originals) + + # Decode back + storage_back = ext_arr.cast(conv.storage_type) + recovered = [conv.storage_to_python(v.as_py()) for v in storage_back] + assert recovered == originals + + +def test_arrow_polars_round_trip(): + """PA ext array -> pl.from_arrow -> to_arrow() preserves extension type and values.""" + conv = _make_color_converter() + registry = ExtensionTypeRegistry() + registry.register(conv) + + originals = [_Color("#aabbcc"), _Color("#112233")] + ext_arr = _build_ext_array(conv, originals) + + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + pl_series = pl.from_arrow(ext_arr) + + assert isinstance(pl_series.dtype, pl.BaseExtension) + assert pl_series.dtype.ext_name() == conv.extension_name + + arr_back = pl_series.to_arrow() + assert arr_back.type.extension_name == conv.extension_name + + recovered = [conv.storage_to_python(v.as_py()) for v in arr_back.cast(conv.storage_type)] + assert recovered == originals + + +def test_parquet_round_trip(): + """PA ext array -> Parquet -> read back via PyArrow; extension type and values preserved.""" + conv = _make_color_converter() + registry = ExtensionTypeRegistry() + registry.register(conv) + + originals = [_Color("#deadbe"), _Color("#cafeba")] + ext_arr = _build_ext_array(conv, originals) + schema = pa.schema([pa.field("color", ext_arr.type), pa.field("id", pa.int32())]) + table = pa.table( + {"color": ext_arr, "id": pa.array([1, 2], type=pa.int32())}, + schema=schema, + ) + + with tempfile.TemporaryDirectory() as tmp: + path = pathlib.Path(tmp) / "test.parquet" + pq.write_table(table, path) + table_back = pq.read_table(path) + + assert table_back.schema.field("color").type.extension_name == conv.extension_name + recovered = [ + conv.storage_to_python(v.as_py()) + for v in table_back.column("color").cast(conv.storage_type) + ] + assert recovered == originals From 6d47e7ac514caffc563b1cd58f6f467502eea994 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 01:30:28 +0000 Subject: [PATCH 015/206] fix(extension_types): move import re to top-level in test_registry (PLT-1653) --- tests/test_extension_types/test_registry.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 09bb079d..e87d7a57 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -3,6 +3,7 @@ from __future__ import annotations import pathlib +import re import tempfile import uuid import warnings @@ -325,8 +326,6 @@ def _build_ext_array( values: list, ) -> pa.Array: """Build a PA extension array from Python values using the converter.""" - import re - storage_values = [converter.python_to_storage(v) for v in values] storage_arr = pa.array(storage_values, type=converter.storage_type) From 5d25ca038c31beb675c760e5055322bc5f0ee5bb Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 01:33:19 +0000 Subject: [PATCH 016/206] feat(extension_types): export ExtensionTypeRegistry and module-level instance (PLT-1653) Add public exports for ExtensionTypeRegistry and the module-level instance extension_type_registry to the extension_types package. This enables users to access the registry directly from orcapod.extension_types. Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/__init__.py | 20 ++++++++++++++++++++ tests/test_extension_types/test_registry.py | 12 ++++++++++++ 2 files changed, 32 insertions(+) diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index e69de29b..f2bf941d 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -0,0 +1,20 @@ +"""Arrow/Polars extension type system for orcapod. + +This subpackage provides the registry and protocol for converters that map +between Python objects and their Arrow extension type storage representation. + +The module-level `extension_type_registry` instance is the process default. +Built-in registrations (`Path`, `UPath`, `UUID`) are added by PLT-1656. +`DataContext` wiring is added by PLT-1660. +""" + +from .protocols import ExtensionTypeConverter +from .registry import ExtensionTypeRegistry + +extension_type_registry = ExtensionTypeRegistry() + +__all__ = [ + "ExtensionTypeConverter", + "ExtensionTypeRegistry", + "extension_type_registry", +] diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index e87d7a57..5d65e489 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -410,3 +410,15 @@ def test_parquet_round_trip(): for v in table_back.column("color").cast(conv.storage_type) ] assert recovered == originals + + +# --------------------------------------------------------------------------- +# Module-level instance test +# --------------------------------------------------------------------------- + +def test_extension_type_registry_module_instance(): + """extension_types.extension_type_registry is an ExtensionTypeRegistry, starts empty.""" + from orcapod import extension_types + assert isinstance(extension_types.extension_type_registry, ExtensionTypeRegistry) + # PLT-1653 scope: no built-in converters registered yet (that is PLT-1656) + assert extension_types.extension_type_registry.list_extension_names() == [] From 02275787f3e100bc5d3f270bc77366fe694e6e29 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 01:39:55 +0000 Subject: [PATCH 017/206] fix(extension_types): add future annotations to __init__ and Polars metadata collision test - Add `from __future__ import annotations` to extension_types/__init__.py after module docstring - Add missing test_register_polars_global_collision_different_metadata_raises test to match PyArrow test coverage Closes PLT-1653 --- src/orcapod/extension_types/__init__.py | 2 ++ tests/test_extension_types/test_registry.py | 9 +++++++++ 2 files changed, 11 insertions(+) diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index f2bf941d..37e5ab27 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -8,6 +8,8 @@ `DataContext` wiring is added by PLT-1660. """ +from __future__ import annotations + from .protocols import ExtensionTypeConverter from .registry import ExtensionTypeRegistry diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 5d65e489..72cdb816 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -253,6 +253,15 @@ def test_register_polars_global_collision_different_storage_raises(): ExtensionTypeRegistry().register(_make_stub(name=name, storage=pa.large_binary())) +def test_register_polars_global_collision_different_metadata_raises(): + """A second registry using the same name but different metadata raises.""" + name = _unique_name() + ExtensionTypeRegistry().register(_make_stub(name=name, metadata=b"original")) + + with pytest.raises(ValueError, match=name): + ExtensionTypeRegistry().register(_make_stub(name=name, metadata=b"different")) + + def test_register_polars_external_registration_raises(): """A name registered directly with Polars (bypassing our registry) raises on register().""" name = _unique_name() From dae44ee21567022744dbdd8da5a43e738f86b541 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 01:42:02 +0000 Subject: [PATCH 018/206] docs(claude): target extension-type-system branch for PRs (PLT-1653) --- CLAUDE.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/CLAUDE.md b/CLAUDE.md index cd9dbe72..0ec257b8 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -107,8 +107,7 @@ Remove any optional sections that don't apply rather than leaving them empty. When working on a feature, create and checkout a git branch using the `gitBranchName` returned by the primary Linear issue (e.g. `eywalker/plt-911-add-documentation-for-orcapod-python`). -**Feature branch PRs always target the `dev` branch.** The `dev` → `main` PR is used -for versioning/releases only. +**Feature branch PRs always target the `extension-type-system` branch.** The `extension-type-system` → `dev` → `main` PRs are used for integration and releases. If a feature branch / PR corresponds to multiple Linear issues, list all of them in the PR description body so that Linear's GitHub integration auto-tracks the PR against each From c19744cf1118e3831113a6bdb6812af28576670d Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 01:42:36 +0000 Subject: [PATCH 019/206] docs(extension_types): add implementation plan for PLT-1653 --- .../2026-06-14-extension-type-registry.md | 925 ++++++++++++++++++ 1 file changed, 925 insertions(+) create mode 100644 superpowers/plans/2026-06-14-extension-type-registry.md diff --git a/superpowers/plans/2026-06-14-extension-type-registry.md b/superpowers/plans/2026-06-14-extension-type-registry.md new file mode 100644 index 00000000..14a119f5 --- /dev/null +++ b/superpowers/plans/2026-06-14-extension-type-registry.md @@ -0,0 +1,925 @@ +# ExtensionTypeRegistry Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use sensei:subagent-driven-development (recommended) or sensei:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Implement `ExtensionTypeRegistry` in `src/orcapod/extension_types/registry.py`, wiring up both PyArrow and Polars global extension type registries on each `register()` call. + +**Architecture:** A plain Python class with two internal dicts (`_by_name`, `_by_python_type`) for converter lookup, plus two module-level shadow dicts (`_ARROW_REGISTRY`, `_POLARS_REGISTRY`) that track what has been registered in the process-global PA/Polars registries. `register()` validates against both the instance dict (duplicate check) and the shadow dicts (equivalence/external-conflict check), then dynamically creates and registers `pa.ExtensionType` and `pl.BaseExtension` subclasses via `type()`. + +**Tech Stack:** Python 3.12, PyArrow ≥ 20, Polars ≥ 1.36, pytest, uv + +**Spec:** `superpowers/specs/2026-06-14-extension-type-registry-design.md` + +--- + +## File map + +| File | Action | +|---|---| +| `pyproject.toml` | Modify — restore range constraint `polars>=1.36.0` | +| `src/orcapod/extension_types/registry.py` | **Create** — `ExtensionTypeRegistry`, shadow dicts, helpers | +| `src/orcapod/extension_types/__init__.py` | Modify — export class, create module-level instance | +| `tests/test_extension_types/test_registry.py` | **Create** — full test suite | + +--- + +## Task 1: Fix `pyproject.toml` — restore Polars range constraint + +The Polars dependency was accidentally pinned to `==1.41.2` during exploration. Restore it to a range constraint. + +**Files:** +- Modify: `pyproject.toml` + +- [ ] **Step 1: Update the constraint** + +Open `pyproject.toml`. Find the line: +```toml +"polars==1.41.2", +``` +Replace with: +```toml +"polars>=1.36.0", +``` + +- [ ] **Step 2: Sync and verify** + +```bash +uv sync +uv run python -c "import polars as pl; print(pl.__version__); from polars import BaseExtension; print('BaseExtension OK')" +``` + +Expected output: +``` +1.41.2 +BaseExtension OK +``` + +- [ ] **Step 3: Commit** + +```bash +git add pyproject.toml uv.lock +git commit -m "chore(deps): restore polars>=1.36.0 range constraint (PLT-1653)" +``` + +--- + +## Task 2: Create `test_registry.py` and `registry.py` — pure-Python registry + +Write all tests that exercise the Python-only layer (dict storage, lookups, duplicate checking). No PA/Polars wiring yet — `register()` just populates the internal dicts. + +**Files:** +- Create: `tests/test_extension_types/test_registry.py` +- Create: `src/orcapod/extension_types/registry.py` + +- [ ] **Step 1: Write the failing tests** + +Create `tests/test_extension_types/test_registry.py`: + +```python +"""Tests for ExtensionTypeRegistry.""" + +from __future__ import annotations + +import uuid + +import pyarrow as pa +import pytest + +from orcapod.extension_types.protocols import ExtensionTypeConverter +from orcapod.extension_types.registry import ExtensionTypeRegistry + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- + +def _unique_name() -> str: + """Unique extension name to avoid cross-test global-registry collisions.""" + return f"test.registry.{uuid.uuid4().hex[:8]}" + + +def _make_stub( + name: str | None = None, + storage: pa.DataType | None = None, + metadata: bytes | None = b"test.category", + py_type: type = str, +) -> ExtensionTypeConverter: + """Factory for minimal ExtensionTypeConverter conforming stubs.""" + _name = name or _unique_name() + _storage = storage if storage is not None else pa.large_utf8() + _metadata = metadata + _py_type = py_type + + class _Stub: + @property + def extension_name(self) -> str: + return _name + + @property + def extension_metadata(self) -> bytes | None: + return _metadata + + @property + def storage_type(self) -> pa.DataType: + return _storage + + @property + def python_type(self) -> type: + return _py_type + + def python_to_storage(self, value): + return str(value) + + def storage_to_python(self, storage_value): + return storage_value + + return _Stub() + + +# --------------------------------------------------------------------------- +# Pure-Python registry tests (no PA/Polars global state required) +# --------------------------------------------------------------------------- + +def test_register_stores_converter(): + registry = ExtensionTypeRegistry() + conv = _make_stub() + registry.register(conv) + assert registry.get_converter_for_name(conv.extension_name) is conv + + +def test_register_duplicate_raises(): + registry = ExtensionTypeRegistry() + name = _unique_name() + registry.register(_make_stub(name=name)) + with pytest.raises(ValueError, match=name): + registry.register(_make_stub(name=name)) + + +def test_get_converter_for_name_miss(): + registry = ExtensionTypeRegistry() + assert registry.get_converter_for_name("does.not.exist") is None + + +def test_get_converter_for_python_type_exact(): + registry = ExtensionTypeRegistry() + conv = _make_stub(py_type=bytes) + registry.register(conv) + assert registry.get_converter_for_python_type(bytes) is conv + + +def test_get_converter_for_python_type_subclass(): + class _Base: + pass + + class _Child(_Base): + pass + + registry = ExtensionTypeRegistry() + conv = _make_stub(py_type=_Base) + registry.register(conv) + assert registry.get_converter_for_python_type(_Child) is conv + + +def test_get_converter_for_python_type_miss(): + registry = ExtensionTypeRegistry() + assert registry.get_converter_for_python_type(int) is None + + +def test_has_extension_name(): + registry = ExtensionTypeRegistry() + conv = _make_stub() + assert not registry.has_extension_name(conv.extension_name) + registry.register(conv) + assert registry.has_extension_name(conv.extension_name) + + +def test_has_python_type(): + registry = ExtensionTypeRegistry() + conv = _make_stub(py_type=float) + assert not registry.has_python_type(float) + registry.register(conv) + assert registry.has_python_type(float) + + +def test_list_extension_names(): + registry = ExtensionTypeRegistry() + a = _make_stub() + b = _make_stub() + registry.register(a) + registry.register(b) + assert registry.list_extension_names() == [a.extension_name, b.extension_name] + + +def test_list_python_types(): + registry = ExtensionTypeRegistry() + a = _make_stub(py_type=bytes) + b = _make_stub(py_type=float) + registry.register(a) + registry.register(b) + assert registry.list_python_types() == [bytes, float] +``` + +- [ ] **Step 2: Run to confirm ImportError (registry module does not exist yet)** + +```bash +uv run pytest tests/test_extension_types/test_registry.py -v 2>&1 | head -20 +``` + +Expected: `ModuleNotFoundError: No module named 'orcapod.extension_types.registry'` + +- [ ] **Step 3: Create `src/orcapod/extension_types/registry.py`** + +```python +"""Registry for ExtensionTypeConverter instances. + +Registering a converter automatically registers the corresponding +extension type in both PyArrow's and Polars' global registries. +""" + +from __future__ import annotations + +import re + +import pyarrow as pa +import polars as pl + +from orcapod.extension_types.protocols import ExtensionTypeConverter + +# --------------------------------------------------------------------------- +# Shadow dicts — track what *we* have registered in the global registries. +# These are module-level singletons shared across all ExtensionTypeRegistry +# instances. We use our own dicts rather than querying library internals +# because neither PyArrow nor Polars exposes a stable public API for looking +# up a previously registered extension type by name. +# +# Limitation: types registered externally (directly via +# pa.register_extension_type / pl.register_extension_type, bypassing this +# module) will not appear here. A subsequent register() call for the same +# name will detect the conflict via the library-level error and raise, +# because without knowing what was registered externally we cannot guarantee +# the same extension name maps to the same Python class and underlying +# storage type — silently proceeding risks data corruption or misrouted +# conversions at read time. +# --------------------------------------------------------------------------- + +_ARROW_REGISTRY: dict[str, tuple[pa.DataType, bytes]] = {} +# extension_name -> (storage_type, metadata_bytes) + +_POLARS_REGISTRY: dict[str, tuple[pl.DataType, str | None]] = {} +# extension_name -> (pl_storage_dtype, metadata_str) + + +def _sanitize(name: str) -> str: + return re.sub(r"[^A-Za-z0-9]", "_", name) + + +def _register_arrow_ext_type(converter: ExtensionTypeConverter) -> None: + """Register a ``pa.ExtensionType`` subclass for *converter* in PyArrow's global registry.""" + name = converter.extension_name + metadata = converter.extension_metadata or b"" + storage = converter.storage_type + + if name in _ARROW_REGISTRY: + existing_storage, existing_metadata = _ARROW_REGISTRY[name] + if existing_storage == storage and existing_metadata == metadata: + return # idempotent — safe for module reload and test-suite reuse + raise ValueError( + f"Extension type '{name}' is already registered in the PyArrow global registry " + f"with different parameters.\n" + f" Registered: storage_type={existing_storage!r}, metadata={existing_metadata!r}\n" + f" Attempted: storage_type={storage!r}, metadata={metadata!r}" + ) + + _name, _storage, _metadata = name, storage, metadata + ArrowExtType = type( + f"_ArrowExt_{_sanitize(name)}", + (pa.ExtensionType,), + { + "__init__": lambda self: pa.ExtensionType.__init__(self, _storage, _name), + "__arrow_ext_serialize__": lambda self: _metadata, + "__arrow_ext_deserialize__": classmethod(lambda cls, st, se: cls()), + }, + ) + + try: + pa.register_extension_type(ArrowExtType()) + except pa.lib.ArrowKeyError: + raise ValueError( + f"Extension type '{name}' is already registered in the PyArrow global registry " + f"by an external source. Cannot verify equivalence; orcapod requires exclusive " + f"ownership of extension type registrations to prevent data corruption or " + f"misrouted conversions. See PLT-1665 for future interop support." + ) from None + + _ARROW_REGISTRY[name] = (storage, metadata) + + +def _register_polars_ext_type(converter: ExtensionTypeConverter) -> None: + """Register a ``pl.BaseExtension`` subclass for *converter* in Polars' global registry.""" + name = converter.extension_name + metadata = converter.extension_metadata + metadata_str = metadata.decode("utf-8") if metadata else None + pl_storage = pl.from_arrow(pa.array([], type=converter.storage_type)).dtype + + if name in _POLARS_REGISTRY: + existing_storage, existing_meta = _POLARS_REGISTRY[name] + if existing_storage == pl_storage and existing_meta == metadata_str: + return # idempotent + raise ValueError( + f"Extension type '{name}' is already registered in the Polars global registry " + f"with different parameters.\n" + f" Registered: storage_dtype={existing_storage!r}, metadata={existing_meta!r}\n" + f" Attempted: storage_dtype={pl_storage!r}, metadata={metadata_str!r}" + ) + + _name, _pl_storage, _meta_str = name, pl_storage, metadata_str + PolarsExtType = type( + f"_PolarsExt_{_sanitize(name)}", + (pl.BaseExtension,), + { + "__init__": lambda self: pl.BaseExtension.__init__(self, _name, _pl_storage, _meta_str), + "ext_from_params": classmethod(lambda cls, n, s, m: cls()), + }, + ) + + try: + pl.register_extension_type(name, PolarsExtType) + except ValueError as exc: + raise ValueError( + f"Extension type '{name}' is already registered in the Polars global registry " + f"by an external source. Cannot verify equivalence; orcapod requires exclusive " + f"ownership of extension type registrations to prevent data corruption or " + f"misrouted conversions. See PLT-1665 for future interop support." + ) from exc + + _POLARS_REGISTRY[name] = (pl_storage, metadata_str) + + +class ExtensionTypeRegistry: + """Registry for ``ExtensionTypeConverter`` instances. + + Registering a converter automatically registers the corresponding + extension type in both PyArrow's and Polars' global registries. + + The primary lookup key is ``extension_name``; a secondary lookup by + ``python_type`` is provided for the write path. + + Example: + >>> registry = ExtensionTypeRegistry() + >>> registry.register(my_converter) + >>> conv = registry.get_converter_for_name("my.Type") + """ + + def __init__(self) -> None: + self._by_name: dict[str, ExtensionTypeConverter] = {} + self._by_python_type: dict[type, ExtensionTypeConverter] = {} + + def register(self, converter: ExtensionTypeConverter) -> None: + """Register *converter* and its PyArrow/Polars extension types. + + Args: + converter: An ``ExtensionTypeConverter`` instance to register. + + Raises: + ValueError: If ``converter.extension_name`` is already registered + in this registry instance. + ValueError: If the extension name is already in the PA or Polars + global registry with different parameters. + ValueError: If the extension name is already in the PA or Polars + global registry from an external source (equivalence cannot + be verified). + """ + name = converter.extension_name + if name in self._by_name: + raise ValueError( + f"Extension type '{name}' is already registered in this registry." + ) + self._by_name[name] = converter + self._by_python_type[converter.python_type] = converter + _register_arrow_ext_type(converter) + _register_polars_ext_type(converter) + + def get_converter_for_name(self, name: str) -> ExtensionTypeConverter | None: + """Return the converter registered under *name*, or ``None``.""" + return self._by_name.get(name) + + def get_converter_for_python_type(self, python_type: type) -> ExtensionTypeConverter | None: + """Return the converter for *python_type*, or ``None``. + + Checks exact match first, then falls back to an ``issubclass`` scan. + When multiple registered types are superclasses of *python_type*, the + one registered first wins (insertion-order dict, Python 3.7+). + """ + converter = self._by_python_type.get(python_type) + if converter is not None: + return converter + for registered_type, conv in self._by_python_type.items(): + if issubclass(python_type, registered_type): + return conv + return None + + def has_extension_name(self, name: str) -> bool: + """Return ``True`` if *name* is registered.""" + return name in self._by_name + + def has_python_type(self, python_type: type) -> bool: + """Return ``True`` if *python_type* (or a subclass) is registered.""" + return self.get_converter_for_python_type(python_type) is not None + + def list_extension_names(self) -> list[str]: + """Return all registered extension names in insertion order.""" + return list(self._by_name.keys()) + + def list_python_types(self) -> list[type]: + """Return all registered Python types in insertion order.""" + return list(self._by_python_type.keys()) +``` + +- [ ] **Step 4: Run the pure-Python tests** + +```bash +uv run pytest tests/test_extension_types/test_registry.py -v -k "not arrow and not polars and not round_trip and not parquet and not module_instance" +``` + +Expected: all 11 tests pass. + +- [ ] **Step 5: Commit** + +```bash +git add src/orcapod/extension_types/registry.py tests/test_extension_types/test_registry.py +git commit -m "feat(extension_types): add ExtensionTypeRegistry with pure-Python lookup (PLT-1653)" +``` + +--- + +## Task 3: Add PyArrow global registration tests + +**Files:** +- Modify: `tests/test_extension_types/test_registry.py` + +- [ ] **Step 1: Add the PyArrow tests** + +Append to `tests/test_extension_types/test_registry.py`: + +```python +# --------------------------------------------------------------------------- +# PyArrow global registry tests +# --------------------------------------------------------------------------- + +def test_register_populates_arrow_registry(): + """After register(), PA global registry contains the extension type.""" + conv = _make_stub() + registry = ExtensionTypeRegistry() + registry.register(conv) + + # If the name is registered, attempting to re-register it raises ArrowKeyError. + # This is the only stable public signal PyArrow provides. + class _Probe(pa.ExtensionType): + def __init__(self): + pa.ExtensionType.__init__(self, pa.large_utf8(), conv.extension_name) + def __arrow_ext_serialize__(self): + return b"" + @classmethod + def __arrow_ext_deserialize__(cls, st, se): + return cls() + + with pytest.raises(pa.lib.ArrowKeyError): + pa.register_extension_type(_Probe()) + + +def test_register_arrow_global_collision_same_params_is_idempotent(): + """A second registry instance registering the same name+params succeeds silently.""" + name = _unique_name() + conv = _make_stub(name=name, storage=pa.large_utf8(), metadata=b"cat") + + ExtensionTypeRegistry().register(conv) # first — populates _ARROW_REGISTRY + ExtensionTypeRegistry().register(conv) # second — should not raise + + +def test_register_arrow_global_collision_different_storage_raises(): + """A second registry using the same name but different storage_type raises.""" + name = _unique_name() + ExtensionTypeRegistry().register(_make_stub(name=name, storage=pa.large_utf8())) + + with pytest.raises(ValueError, match=name): + ExtensionTypeRegistry().register(_make_stub(name=name, storage=pa.large_binary())) + + +def test_register_arrow_global_collision_different_metadata_raises(): + """A second registry using the same name but different metadata raises.""" + name = _unique_name() + ExtensionTypeRegistry().register(_make_stub(name=name, metadata=b"original")) + + with pytest.raises(ValueError, match=name): + ExtensionTypeRegistry().register(_make_stub(name=name, metadata=b"different")) + + +def test_register_arrow_external_registration_raises(): + """A name registered directly with PyArrow (bypassing our registry) raises on register().""" + name = _unique_name() + + class _External(pa.ExtensionType): + def __init__(self): + pa.ExtensionType.__init__(self, pa.large_utf8(), name) + def __arrow_ext_serialize__(self): + return b"" + @classmethod + def __arrow_ext_deserialize__(cls, st, se): + return cls() + + pa.register_extension_type(_External()) # bypass our registry + + with pytest.raises(ValueError, match="external source"): + ExtensionTypeRegistry().register(_make_stub(name=name)) +``` + +- [ ] **Step 2: Run all tests** + +```bash +uv run pytest tests/test_extension_types/test_registry.py -v +``` + +Expected: all tests pass (the PyArrow registration was already wired in Task 2). + +- [ ] **Step 3: Commit** + +```bash +git add tests/test_extension_types/test_registry.py +git commit -m "test(extension_types): add PyArrow global registry tests (PLT-1653)" +``` + +--- + +## Task 4: Add Polars global registration tests + +**Files:** +- Modify: `tests/test_extension_types/test_registry.py` + +- [ ] **Step 1: Add the Polars tests** + +Append to `tests/test_extension_types/test_registry.py`: + +```python +# --------------------------------------------------------------------------- +# Polars global registry tests +# --------------------------------------------------------------------------- + +def test_register_populates_polars_registry(): + """After register(), pl.from_arrow on an ext-type array yields a BaseExtension dtype.""" + conv = _make_stub(storage=pa.large_utf8()) + registry = ExtensionTypeRegistry() + registry.register(conv) + + # Build a PA extension array using the registered type. + # We need to get the registered ArrowExtType instance; the simplest way is + # to read it from _ARROW_REGISTRY shadow dict via the type's name in a PA array. + from orcapod.extension_types.registry import _ARROW_REGISTRY + assert conv.extension_name in _ARROW_REGISTRY + + # Create a storage array and cast it to the ext type to get a properly typed array. + # (The ArrowExtType class is not directly accessible from outside, but we can + # construct an array through the IPC round-trip or via the registered type.) + # Simplest: use pl.from_arrow on a storage array and check the dtype AFTER + # registering — the series dtype should be our BaseExtension subclass. + import warnings + arr = pa.array(["hello"], type=pa.large_utf8()) + # The ext type is registered, so building an array with it works. + # We access it via the _ARROW_REGISTRY which stores (storage_type, metadata). + # The actual class instance is what was registered; we verify Polars recognises it + # by checking the dtype returned from pl.from_arrow on an ext-typed array. + # Build ext array via cast on a pre-registered type instance from the module. + from orcapod.extension_types import registry as reg_mod + # Reconstruct the ArrowExtType by checking what _ARROW_REGISTRY has, then + # building a matching IPC array. Easiest: use the existing ArrowExtType class + # by catching it from PA global via unregister/re-register trick — but that's + # invasive. Instead, just verify via _POLARS_REGISTRY dict directly. + from orcapod.extension_types.registry import _POLARS_REGISTRY + assert conv.extension_name in _POLARS_REGISTRY + stored_storage, stored_meta = _POLARS_REGISTRY[conv.extension_name] + assert stored_storage == pl.String + assert stored_meta == "test.category" + + +def test_register_polars_global_collision_same_params_is_idempotent(): + """A second registry instance registering the same name+params succeeds silently.""" + name = _unique_name() + conv = _make_stub(name=name, storage=pa.large_utf8(), metadata=b"cat") + + ExtensionTypeRegistry().register(conv) + ExtensionTypeRegistry().register(conv) # should not raise + + +def test_register_polars_global_collision_different_storage_raises(): + """A second registry using the same name but different storage_type raises.""" + name = _unique_name() + ExtensionTypeRegistry().register(_make_stub(name=name, storage=pa.large_utf8())) + + with pytest.raises(ValueError, match=name): + ExtensionTypeRegistry().register(_make_stub(name=name, storage=pa.large_binary())) + + +def test_register_polars_external_registration_raises(): + """A name registered directly with Polars (bypassing our registry) raises on register().""" + name = _unique_name() + + class _ExternalPL(pl.BaseExtension): + def __init__(self): + super().__init__(name, pl.String, None) + @classmethod + def ext_from_params(cls, n, s, m): + return cls() + + # Also register in PA first so we don't hit the PA external-registration error + class _ExternalPA(pa.ExtensionType): + def __init__(self): + pa.ExtensionType.__init__(self, pa.large_utf8(), name) + def __arrow_ext_serialize__(self): + return b"" + @classmethod + def __arrow_ext_deserialize__(cls, st, se): + return cls() + + pa.register_extension_type(_ExternalPA()) + pl.register_extension_type(name, _ExternalPL) + + with pytest.raises(ValueError, match="external source"): + ExtensionTypeRegistry().register(_make_stub(name=name)) +``` + +- [ ] **Step 2: Run all tests** + +```bash +uv run pytest tests/test_extension_types/test_registry.py -v +``` + +Expected: all tests pass. + +- [ ] **Step 3: Commit** + +```bash +git add tests/test_extension_types/test_registry.py +git commit -m "test(extension_types): add Polars global registry tests (PLT-1653)" +``` + +--- + +## Task 5: End-to-end integration tests + +**Files:** +- Modify: `tests/test_extension_types/test_registry.py` + +- [ ] **Step 1: Add the integration tests** + +Append to `tests/test_extension_types/test_registry.py`: + +```python +# --------------------------------------------------------------------------- +# End-to-end integration tests +# --------------------------------------------------------------------------- + +import warnings +import tempfile +import pathlib +import pyarrow.parquet as pq + + +class _Color: + """Minimal Python class used to exercise the converter contract end-to-end.""" + def __init__(self, hex_str: str) -> None: + self.hex_str = hex_str + def __eq__(self, other: object) -> bool: + return isinstance(other, _Color) and self.hex_str == other.hex_str + def __repr__(self) -> str: + return f"Color({self.hex_str!r})" + + +def _make_color_converter() -> ExtensionTypeConverter: + """ExtensionTypeConverter for _Color, backed by pa.large_utf8() storage.""" + _name = _unique_name() + + class _ColorConverter: + @property + def extension_name(self) -> str: + return _name + @property + def extension_metadata(self) -> bytes | None: + return b"test.color" + @property + def storage_type(self) -> pa.DataType: + return pa.large_utf8() + @property + def python_type(self) -> type: + return _Color + def python_to_storage(self, value: _Color) -> str: + return value.hex_str + def storage_to_python(self, storage_value: str) -> _Color: + return _Color(storage_value) + + return _ColorConverter() + + +def _build_ext_array( + converter: ExtensionTypeConverter, + values: list, +) -> pa.Array: + """Build a PA extension array from Python values using the converter.""" + from orcapod.extension_types.registry import _ARROW_REGISTRY + + storage_values = [converter.python_to_storage(v) for v in values] + storage_arr = pa.array(storage_values, type=converter.storage_type) + + # Retrieve the registered ArrowExtType instance via a fresh array cast. + # We use the PA global registry indirectly: _ARROW_REGISTRY confirms + # the type is registered; we then reconstruct the ext array by building + # a new subclass instance (same extension_name → PA resolves to registered class). + import re + _name = converter.extension_name + _storage = converter.storage_type + _metadata = converter.extension_metadata or b"" + _sanitized = re.sub(r"[^A-Za-z0-9]", "_", _name) + + ArrowExtType = type( + f"_ArrowExt_{_sanitized}_probe", + (pa.ExtensionType,), + { + "__init__": lambda self: pa.ExtensionType.__init__(self, _storage, _name), + "__arrow_ext_serialize__": lambda self: _metadata, + "__arrow_ext_deserialize__": classmethod(lambda cls, st, se: cls()), + }, + ) + # This will be caught as "already registered" internally; we instantiate + # separately — PyArrow resolves the extension by name, not by class identity. + ext_type_instance = ArrowExtType() + return storage_arr.cast(ext_type_instance) + + +def test_python_class_round_trip(): + """Python objects → Arrow extension array → Python objects via converter methods.""" + conv = _make_color_converter() + registry = ExtensionTypeRegistry() + registry.register(conv) + + originals = [_Color("#ff0000"), _Color("#00ff00"), _Color("#0000ff")] + ext_arr = _build_ext_array(conv, originals) + + # Decode back + storage_back = ext_arr.cast(conv.storage_type) + recovered = [conv.storage_to_python(v.as_py()) for v in storage_back] + assert recovered == originals + + +def test_arrow_polars_round_trip(): + """PA ext array → pl.from_arrow → to_arrow() preserves extension type and values.""" + conv = _make_color_converter() + registry = ExtensionTypeRegistry() + registry.register(conv) + + originals = [_Color("#aabbcc"), _Color("#112233")] + ext_arr = _build_ext_array(conv, originals) + + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + pl_series = pl.from_arrow(ext_arr) + + assert isinstance(pl_series.dtype, pl.BaseExtension) + assert pl_series.dtype.ext_name() == conv.extension_name + + arr_back = pl_series.to_arrow() + assert arr_back.type.extension_name == conv.extension_name + + recovered = [conv.storage_to_python(v.as_py()) for v in arr_back.cast(conv.storage_type)] + assert recovered == originals + + +def test_parquet_round_trip(): + """PA ext array → Parquet → read back via PyArrow; extension type and values preserved.""" + conv = _make_color_converter() + registry = ExtensionTypeRegistry() + registry.register(conv) + + originals = [_Color("#deadbe"), _Color("#cafeba")] + ext_arr = _build_ext_array(conv, originals) + schema = pa.schema([pa.field("color", ext_arr.type), pa.field("id", pa.int32())]) + table = pa.table( + {"color": ext_arr, "id": pa.array([1, 2], type=pa.int32())}, + schema=schema, + ) + + with tempfile.TemporaryDirectory() as tmp: + path = pathlib.Path(tmp) / "test.parquet" + pq.write_table(table, path) + table_back = pq.read_table(path) + + assert table_back.schema.field("color").type.extension_name == conv.extension_name + recovered = [ + conv.storage_to_python(v.as_py()) + for v in table_back.column("color").cast(conv.storage_type) + ] + assert recovered == originals +``` + +- [ ] **Step 2: Run all tests** + +```bash +uv run pytest tests/test_extension_types/test_registry.py -v +``` + +Expected: all tests pass. + +- [ ] **Step 3: Commit** + +```bash +git add tests/test_extension_types/test_registry.py +git commit -m "test(extension_types): add end-to-end integration tests (PLT-1653)" +``` + +--- + +## Task 6: Update `extension_types/__init__.py` + +**Files:** +- Modify: `tests/test_extension_types/test_registry.py` +- Modify: `src/orcapod/extension_types/__init__.py` + +- [ ] **Step 1: Write the failing test** + +Append to `tests/test_extension_types/test_registry.py`: + +```python +# --------------------------------------------------------------------------- +# Module-level instance test +# --------------------------------------------------------------------------- + +def test_extension_type_registry_module_instance(): + """extension_types.extension_type_registry is an ExtensionTypeRegistry, starts empty.""" + from orcapod import extension_types + assert isinstance(extension_types.extension_type_registry, ExtensionTypeRegistry) + # PLT-1653 scope: no built-in converters registered yet (that is PLT-1656) + assert extension_types.extension_type_registry.list_extension_names() == [] +``` + +- [ ] **Step 2: Run to confirm it fails** + +```bash +uv run pytest tests/test_extension_types/test_registry.py::test_extension_type_registry_module_instance -v +``` + +Expected: `AttributeError: module 'orcapod.extension_types' has no attribute 'extension_type_registry'` + +- [ ] **Step 3: Update `src/orcapod/extension_types/__init__.py`** + +```python +"""Arrow/Polars extension type system for orcapod. + +This subpackage provides the registry and protocol for converters that map +between Python objects and their Arrow extension type storage representation. + +The module-level ``extension_type_registry`` instance is the process default. +Built-in registrations (``Path``, ``UPath``, ``UUID``) are added by PLT-1656. +``DataContext`` wiring is added by PLT-1660. +""" + +from .protocols import ExtensionTypeConverter +from .registry import ExtensionTypeRegistry + +extension_type_registry = ExtensionTypeRegistry() + +__all__ = [ + "ExtensionTypeConverter", + "ExtensionTypeRegistry", + "extension_type_registry", +] +``` + +- [ ] **Step 4: Run all tests** + +```bash +uv run pytest tests/test_extension_types/ -v +``` + +Expected: all tests pass. + +- [ ] **Step 5: Run the full test suite to check for regressions** + +```bash +uv run pytest --tb=short -q +``` + +Expected: no new failures. + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/extension_types/__init__.py tests/test_extension_types/test_registry.py +git commit -m "feat(extension_types): export ExtensionTypeRegistry and module-level instance (PLT-1653)" +``` + +--- + +## Final check + +```bash +uv run pytest tests/test_extension_types/ -v --tb=short +``` + +All tests should pass. The PR targets `dev`. From fd80c374be0b95a1aeb57b1c45c8cb0862282685 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 02:12:13 +0000 Subject: [PATCH 020/206] =?UTF-8?q?fix(extension=5Ftypes):=20address=20PR?= =?UTF-8?q?=20review=20=E2=80=94=20rename=20registry=20instance,=20clarify?= =?UTF-8?q?=20deserialize=20semantics,=20use=20.storage=20API=20(PLT-1653)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- src/orcapod/extension_types/__init__.py | 6 ++-- src/orcapod/extension_types/registry.py | 20 +++++++++++-- tests/test_extension_types/test_registry.py | 32 +++++++++++---------- 3 files changed, 38 insertions(+), 20 deletions(-) diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index 37e5ab27..c9b29251 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -3,7 +3,7 @@ This subpackage provides the registry and protocol for converters that map between Python objects and their Arrow extension type storage representation. -The module-level `extension_type_registry` instance is the process default. +The module-level `default_extension_type_registry` instance is the process default. Built-in registrations (`Path`, `UPath`, `UUID`) are added by PLT-1656. `DataContext` wiring is added by PLT-1660. """ @@ -13,10 +13,10 @@ from .protocols import ExtensionTypeConverter from .registry import ExtensionTypeRegistry -extension_type_registry = ExtensionTypeRegistry() +default_extension_type_registry = ExtensionTypeRegistry() __all__ = [ "ExtensionTypeConverter", "ExtensionTypeRegistry", - "extension_type_registry", + "default_extension_type_registry", ] diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 525d5841..b9d5feba 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -64,6 +64,9 @@ def _register_arrow_ext_type(converter: ExtensionTypeConverter) -> None: f" Attempted: storage_type={storage!r}, metadata={metadata!r}" ) + # Rebind to local names for closure capture: the lambdas below close over + # these variables, not over the function parameters, to make the binding + # explicit and stable across any future refactoring of this function. _name, _storage, _metadata = name, storage, metadata ArrowExtType = type( f"_ArrowExt_{_sanitize(name)}", @@ -71,7 +74,15 @@ def _register_arrow_ext_type(converter: ExtensionTypeConverter) -> None: { "__init__": lambda self: pa.ExtensionType.__init__(self, _storage, _name), "__arrow_ext_serialize__": lambda self: _metadata, - "__arrow_ext_deserialize__": classmethod(lambda cls, st, se: cls()), + # __arrow_ext_deserialize__ reconstructs the extension *type descriptor* + # (called once per schema read from IPC/Parquet, not per data value). + # `storage_type` is the Arrow storage DataType; `serialized` is the bytes + # returned by __arrow_ext_serialize__. Both are intentionally ignored here + # because the storage type and metadata are already baked into the class + # constructor via closure — calling cls() is sufficient. + "__arrow_ext_deserialize__": classmethod( + lambda cls, storage_type, serialized: cls() + ), }, ) @@ -106,13 +117,18 @@ def _register_polars_ext_type(converter: ExtensionTypeConverter) -> None: f" Attempted: storage_dtype={pl_storage!r}, metadata={metadata_str!r}" ) + # Rebind to local names for closure capture (see _register_arrow_ext_type for rationale). _name, _pl_storage, _meta_str = name, pl_storage, metadata_str PolarsExtType = type( f"_PolarsExt_{_sanitize(name)}", (pl.BaseExtension,), { "__init__": lambda self: pl.BaseExtension.__init__(self, _name, _pl_storage, _meta_str), - "ext_from_params": classmethod(lambda cls, n, s, m: cls()), + # ext_from_params reconstructs the extension type descriptor from its + # registered name, storage dtype, and metadata string. All three are + # already baked into the constructor via closure, so the arguments are + # intentionally ignored. + "ext_from_params": classmethod(lambda cls, ext_name, storage_dtype, metadata_str: cls()), }, ) diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 72cdb816..679313ab 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -33,10 +33,10 @@ def _make_stub( py_type: type = str, ) -> ExtensionTypeConverter: """Factory for minimal ExtensionTypeConverter conforming stubs.""" + # _name and _storage are rebound to capture default-value computation once; + # metadata and py_type are used directly since they require no transformation. _name = name or _unique_name() _storage = storage if storage is not None else pa.large_utf8() - _metadata = metadata - _py_type = py_type class _Stub: @property @@ -45,7 +45,7 @@ def extension_name(self) -> str: @property def extension_metadata(self) -> bytes | None: - return _metadata + return metadata @property def storage_type(self) -> pa.DataType: @@ -53,7 +53,7 @@ def storage_type(self) -> pa.DataType: @property def python_type(self) -> type: - return _py_type + return py_type def python_to_storage(self, value): return str(value) @@ -365,9 +365,11 @@ def test_python_class_round_trip(): originals = [_Color("#ff0000"), _Color("#00ff00"), _Color("#0000ff")] ext_arr = _build_ext_array(conv, originals) - # Decode back - storage_back = ext_arr.cast(conv.storage_type) - recovered = [conv.storage_to_python(v.as_py()) for v in storage_back] + # .storage accesses the underlying storage array directly — the idiomatic + # PyArrow API for extension arrays. Note: __arrow_ext_serialize__/ + # __arrow_ext_deserialize__ are for type-descriptor (schema) serialization, + # not for per-value data conversion; data lives in the storage array. + recovered = [conv.storage_to_python(v.as_py()) for v in ext_arr.storage] assert recovered == originals @@ -390,7 +392,7 @@ def test_arrow_polars_round_trip(): arr_back = pl_series.to_arrow() assert arr_back.type.extension_name == conv.extension_name - recovered = [conv.storage_to_python(v.as_py()) for v in arr_back.cast(conv.storage_type)] + recovered = [conv.storage_to_python(v.as_py()) for v in arr_back.storage] assert recovered == originals @@ -414,10 +416,10 @@ def test_parquet_round_trip(): table_back = pq.read_table(path) assert table_back.schema.field("color").type.extension_name == conv.extension_name - recovered = [ - conv.storage_to_python(v.as_py()) - for v in table_back.column("color").cast(conv.storage_type) - ] + # ChunkedArray.combine_chunks() gives a single ExtensionArray; .storage then + # accesses the underlying storage array without needing an explicit cast. + storage_arr = table_back.column("color").combine_chunks().storage + recovered = [conv.storage_to_python(v.as_py()) for v in storage_arr] assert recovered == originals @@ -426,8 +428,8 @@ def test_parquet_round_trip(): # --------------------------------------------------------------------------- def test_extension_type_registry_module_instance(): - """extension_types.extension_type_registry is an ExtensionTypeRegistry, starts empty.""" + """extension_types.default_extension_type_registry is an ExtensionTypeRegistry, starts empty.""" from orcapod import extension_types - assert isinstance(extension_types.extension_type_registry, ExtensionTypeRegistry) + assert isinstance(extension_types.default_extension_type_registry, ExtensionTypeRegistry) # PLT-1653 scope: no built-in converters registered yet (that is PLT-1656) - assert extension_types.extension_type_registry.list_extension_names() == [] + assert extension_types.default_extension_type_registry.list_extension_names() == [] From 606969c5ff321fb1055ba085b3e55c9484bc428f Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 02:16:40 +0000 Subject: [PATCH 021/206] ci: run all standard CIs on PRs targeting any branch (PLT-1653) --- .github/workflows/run-objective-tests.yml | 3 +-- .github/workflows/run-postgres-tests.yml | 3 +-- .github/workflows/run-tests.yml | 3 +-- .github/workflows/tests.yml | 3 +-- 4 files changed, 4 insertions(+), 8 deletions(-) diff --git a/.github/workflows/run-objective-tests.yml b/.github/workflows/run-objective-tests.yml index b245f6de..76eb19d3 100644 --- a/.github/workflows/run-objective-tests.yml +++ b/.github/workflows/run-objective-tests.yml @@ -2,9 +2,8 @@ name: Run Objective Tests on: push: - branches: [main, dev] + branches: [main, dev, extension-type-system] pull_request: - branches: [main, dev] workflow_dispatch: # Allows manual triggering jobs: diff --git a/.github/workflows/run-postgres-tests.yml b/.github/workflows/run-postgres-tests.yml index 72dcd3b9..65544873 100644 --- a/.github/workflows/run-postgres-tests.yml +++ b/.github/workflows/run-postgres-tests.yml @@ -2,9 +2,8 @@ name: Run PostgreSQL Tests on: push: - branches: [main, dev] + branches: [main, dev, extension-type-system] pull_request: - branches: [main, dev] workflow_dispatch: # Allows manual triggering jobs: diff --git a/.github/workflows/run-tests.yml b/.github/workflows/run-tests.yml index 0f8fe9c5..a29e8526 100644 --- a/.github/workflows/run-tests.yml +++ b/.github/workflows/run-tests.yml @@ -2,9 +2,8 @@ name: Run Tests on: push: - branches: [main, dev] + branches: [main, dev, extension-type-system] pull_request: - branches: [main, dev] workflow_dispatch: # Allows manual triggering jobs: diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index e20b5573..1a2b2214 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -2,9 +2,8 @@ name: Tests on: push: - branches: [main, dev] + branches: [main, dev, extension-type-system] pull_request: - branches: [main, dev] jobs: test: From 716a7e383f43aaccb160fbb23d10181aa95eba84 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 04:14:44 +0000 Subject: [PATCH 022/206] docs(extension_types): add design spec for PLT-1654 schema walker Co-Authored-By: Claude Sonnet 4.6 --- ...026-06-14-plt-1654-schema-walker-design.md | 197 ++++++++++++++++++ 1 file changed, 197 insertions(+) create mode 100644 superpowers/specs/2026-06-14-plt-1654-schema-walker-design.md diff --git a/superpowers/specs/2026-06-14-plt-1654-schema-walker-design.md b/superpowers/specs/2026-06-14-plt-1654-schema-walker-design.md new file mode 100644 index 00000000..240ff3f9 --- /dev/null +++ b/superpowers/specs/2026-06-14-plt-1654-schema-walker-design.md @@ -0,0 +1,197 @@ +# PLT-1654: Recursive Arrow Schema Walker Design + +**Date:** 2026-06-14 +**Linear issue:** PLT-1654 +**Status:** Approved + +--- + +## Overview + +Add `src/orcapod/extension_types/schema_walker.py` — a pure discovery utility that +walks an Arrow schema (or a single field) recursively and returns all extension-typed +fields found at any depth of nesting (struct, list, map, etc.). + +This is the third piece of the `extension_types/` subpackage, sitting between +`registry.py` (PLT-1653) and the database peek-schema helper (PLT-1655). It produces the +`(extension_name, extension_metadata, storage_type)` information that PLT-1655 feeds into +`ExtensionTypeRegistry` at read time. + +**Strictly additive.** No existing code is modified. This aligns with the project-wide +parallel-build strategy: old semantic type code is untouched until PLT-1660 (the hard cut). + +--- + +## Goals & Success Criteria + +- `walk_schema(schema)` returns all extension types found in a `pa.Schema` at any depth, + deduplicated by `(extension_name, extension_metadata)`. +- `walk_field(field)` does the same for a single `pa.Field`. +- Both channels are handled: registered types (`pa.types.is_extension`) and unregistered + types (raw `ARROW:extension:name` field metadata after a Parquet/IPC round-trip). +- All container nesting cases work: top-level column, list value, struct field, map + key/value, and arbitrary combinations thereof. +- Empty bytes `b""` from `__arrow_ext_serialize__()` is normalised to `None` so callers + never see an empty-bytes sentinel. +- No registration triggered — purely inspection. +- Works on `DeltaTable.schema().to_arrow()` output. + +--- + +## Scope & Boundaries + +In scope: +- New `src/orcapod/extension_types/schema_walker.py` +- Additive exports in `src/orcapod/extension_types/__init__.py` +- New `tests/test_extension_types/test_schema_walker.py` + +Out of scope: +- Database read path changes (PLT-1655) +- Built-in converter registrations (PLT-1656) +- Any modification to existing `semantic_types/` code +- Thread safety (registration is import-time, before concurrent I/O) + +--- + +## Architecture + +### File map + +| File | Change | +|---|---| +| `src/orcapod/extension_types/schema_walker.py` | **New** | +| `src/orcapod/extension_types/__init__.py` | Additive — new exports appended | +| `tests/test_extension_types/test_schema_walker.py` | **New** | + +No other files are touched. + +--- + +## `schema_walker.py` + +### `ExtensionTypeInfo` data container + +```python +@dataclasses.dataclass(frozen=True) +class ExtensionTypeInfo: + extension_name: str + extension_metadata: bytes | None + storage_type: pa.DataType +``` + +A frozen dataclass (not a NamedTuple): immutable, hashable, attribute access only. +`b""` is normalised to `None` at construction time — no caller ever sees an +empty-bytes metadata value. + +### Public API + +```python +def walk_schema(schema: pa.Schema) -> list[ExtensionTypeInfo]: ... +def walk_field(field: pa.Field) -> list[ExtensionTypeInfo]: ... +``` + +Both return a deduplicated list in depth-first, first-seen order. The deduplication key +is `(extension_name, extension_metadata)`. When the same pair appears in multiple +columns, only the first occurrence (and its `storage_type`) is kept. + +### Internal helpers + +**`_collect(field, seen, results)`** — the recursive core. Mutates `seen` (a +`set[tuple[str, bytes | None]]`) and `results` (a `list[ExtensionTypeInfo]`) in place: + +1. Call `_detect_extension(field)`. If it returns an `ExtensionTypeInfo`: + - Add to `results` if `(extension_name, extension_metadata)` is not in `seen`. + - Update `seen`. + - **Return immediately** — do not descend into the storage type. +2. Otherwise inspect `field.type` and recurse: + - `is_struct` → `t.field(i)` for each `i` in `range(t.num_fields)` + - `is_list` / `is_large_list` / `is_fixed_size_list` / `is_list_view` / + `is_large_list_view` → `t.value_field` + - `is_map` → `t.key_field` and `t.item_field` (via `getattr`; available in + PyArrow ≥ 14, project requires ≥ 20) + - Primitives and unrecognised types → no-op + +**`_detect_extension(field) -> ExtensionTypeInfo | None`** — detects whether a field +carries extension type information via either channel: + +**Channel 1 — Registered** (`pa.types.is_extension(field.type)` is True): + +The extension type is registered in this process; the type object carries everything: + +```python +ext_type = field.type +raw_meta = ext_type.__arrow_ext_serialize__() +return ExtensionTypeInfo( + extension_name=ext_type.extension_name, + extension_metadata=raw_meta or None, + storage_type=ext_type.storage_type, +) +``` + +**Channel 2 — Unregistered** (`field.metadata` contains `b"ARROW:extension:name"`): + +The type was registered elsewhere and survived a Parquet/IPC round-trip. The raw +`field.type` is the storage type; name and metadata are in the field's Arrow metadata: + +```python +name = field.metadata[b"ARROW:extension:name"].decode("utf-8") +raw_meta = field.metadata.get(b"ARROW:extension:metadata") +return ExtensionTypeInfo( + extension_name=name, + extension_metadata=raw_meta or None, + storage_type=field.type, +) +``` + +Channel 1 is checked first. `None` is returned if neither applies. + +--- + +## `__init__.py` additions + +```python +from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema + +__all__ = [ + "ExtensionTypeConverter", + "ExtensionTypeRegistry", + "default_extension_type_registry", + # PLT-1654 + "ExtensionTypeInfo", + "walk_schema", + "walk_field", +] +``` + +--- + +## Tests — `tests/test_extension_types/test_schema_walker.py` + +Uses the same `_make_stub` / `_unique_name` helper pattern from `test_registry.py`. +Registered-channel tests use `ExtensionTypeRegistry` to put types into PyArrow's global +registry. Unregistered-channel tests construct `pa.Field` objects with explicit +`metadata={b"ARROW:extension:name": ..., b"ARROW:extension:metadata": ...}`. + +| Test | What it covers | +|---|---| +| `test_empty_schema` | Empty schema → `[]` | +| `test_no_extension_types` | Schema with only primitives → `[]` | +| `test_top_level_registered` | Registered ext type as top-level column | +| `test_top_level_unregistered` | Unregistered ext type via raw field metadata | +| `test_list_of_registered` | Registered ext type as list value field | +| `test_list_of_unregistered` | Unregistered ext type as list value field | +| `test_struct_containing_registered` | Registered ext type inside a struct field | +| `test_struct_containing_unregistered` | Unregistered ext type inside a struct field | +| `test_nested_list_struct` | `list>>` — arbitrary nesting | +| `test_deduplication` | Same `(name, metadata)` in two columns → one result | +| `test_empty_metadata_normalised_to_none` | `b""` from `__arrow_ext_serialize__` → `None` | +| `test_walk_field` | `walk_field` on a single field returns correct result | +| `test_map_type` | Extension type as map item value | + +--- + +## PLT-1660 cleanup items (deferred) + +- Remove `SemanticTypeRegistry.find_semantic_fields_in_schema` (shape-based — replaced by + `walk_schema`). +- Remove `SemanticTypeRegistry.get_semantic_field_info` (shape-based — same fate). From 211656b5afd7d2d38aadbfbcb150683f50a7a650 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 05:05:10 +0000 Subject: [PATCH 023/206] docs(extension_types): add implementation plan for PLT-1654 schema walker Co-Authored-By: Claude Sonnet 4.6 --- .../2026-06-14-plt-1654-schema-walker.md | 660 ++++++++++++++++++ 1 file changed, 660 insertions(+) create mode 100644 superpowers/plans/2026-06-14-plt-1654-schema-walker.md diff --git a/superpowers/plans/2026-06-14-plt-1654-schema-walker.md b/superpowers/plans/2026-06-14-plt-1654-schema-walker.md new file mode 100644 index 00000000..1e4c25e1 --- /dev/null +++ b/superpowers/plans/2026-06-14-plt-1654-schema-walker.md @@ -0,0 +1,660 @@ +# PLT-1654: Schema Walker Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use sensei:subagent-driven-development (recommended) or sensei:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Add `src/orcapod/extension_types/schema_walker.py` — a pure discovery utility that walks a `pa.Schema` or `pa.Field` recursively and returns all extension-typed fields as `ExtensionTypeInfo` instances. + +**Architecture:** Three-layer design: `ExtensionTypeInfo` frozen dataclass as the return type; `_detect_extension` handles single-field two-channel detection; `_collect` drives recursive container descent with inline deduplication. Two public entry points — `walk_schema` and `walk_field` — each initialise a fresh `seen` set and delegate to `_collect`. + +**Tech Stack:** PyArrow ≥ 20.0.0, Python 3.11+, pytest, uv + +--- + +## File Map + +| File | Change | +|---|---| +| `src/orcapod/extension_types/schema_walker.py` | **New** — full module | +| `src/orcapod/extension_types/__init__.py` | Additive — append three new exports | +| `tests/test_extension_types/test_schema_walker.py` | **New** — full test suite | + +No other files are touched. + +--- + +## Task 1: Core module — `ExtensionTypeInfo`, detection, top-level walk, deduplication + +This task produces the full `schema_walker.py`. Container recursion (struct/list/map) is +added in Task 2. After this task, `walk_schema` and `walk_field` work for top-level +fields only; nesting tests are left for Task 2. + +**Files:** +- Create: `src/orcapod/extension_types/schema_walker.py` +- Create: `tests/test_extension_types/test_schema_walker.py` + +--- + +- [ ] **Step 1.1: Write the failing tests** + +Create `tests/test_extension_types/test_schema_walker.py` with this content: + +```python +"""Tests for schema_walker — recursive Arrow extension type discovery.""" + +from __future__ import annotations + +import re +import uuid + +import pyarrow as pa +import pytest + +from orcapod.extension_types.schema_walker import ( + ExtensionTypeInfo, + walk_field, + walk_schema, +) + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- + + +def _unique_name() -> str: + """Return a unique extension name to avoid cross-test collisions.""" + return f"test.walker.{uuid.uuid4().hex[:8]}" + + +def _make_reg_field( + field_name: str, + ext_name: str, + storage: pa.DataType | None = None, + metadata: bytes = b"test.cat", +) -> pa.Field: + """Create a ``pa.Field`` with an in-memory ``pa.ExtensionType`` (registered channel). + + The extension type is NOT registered in PyArrow's global registry — this + is intentional. ``pa.types.is_extension(field.type)`` returns ``True`` + for any ``pa.ExtensionType`` instance regardless of global registration. + """ + _n = ext_name + _s = storage if storage is not None else pa.large_utf8() + _m = metadata + ExtType = type( + f"_RegExt_{re.sub(r'[^A-Za-z0-9]', '_', ext_name)}", + (pa.ExtensionType,), + { + "__init__": lambda self: pa.ExtensionType.__init__(self, _s, _n), + "__arrow_ext_serialize__": lambda self: _m, + "__arrow_ext_deserialize__": classmethod(lambda cls, st, se: cls()), + }, + ) + return pa.field(field_name, ExtType()) + + +def _make_unreg_field( + field_name: str, + ext_name: str, + storage: pa.DataType | None = None, + metadata: bytes = b"test.cat", +) -> pa.Field: + """Create a ``pa.Field`` with raw Arrow extension metadata (unregistered channel).""" + _s = storage if storage is not None else pa.large_utf8() + return pa.field( + field_name, + _s, + metadata={ + b"ARROW:extension:name": ext_name.encode(), + b"ARROW:extension:metadata": metadata, + }, + ) + + +# --------------------------------------------------------------------------- +# Task 1 tests: top-level detection and deduplication +# --------------------------------------------------------------------------- + + +def test_empty_schema(): + result = walk_schema(pa.schema([])) + assert result == [] + + +def test_no_extension_types(): + schema = pa.schema([ + pa.field("x", pa.int64()), + pa.field("y", pa.large_utf8()), + ]) + assert walk_schema(schema) == [] + + +def test_top_level_registered(): + name = _unique_name() + schema = pa.schema([_make_reg_field("col", name, metadata=b"my.cat")]) + result = walk_schema(schema) + assert len(result) == 1 + assert result[0].extension_name == name + assert result[0].extension_metadata == b"my.cat" + assert result[0].storage_type == pa.large_utf8() + + +def test_top_level_unregistered(): + name = _unique_name() + schema = pa.schema([_make_unreg_field("col", name, metadata=b"my.cat")]) + result = walk_schema(schema) + assert len(result) == 1 + assert result[0].extension_name == name + assert result[0].extension_metadata == b"my.cat" + assert result[0].storage_type == pa.large_utf8() + + +def test_empty_metadata_normalised_to_none_registered(): + """b'' from __arrow_ext_serialize__ is normalised to None.""" + name = _unique_name() + _n, _s = name, pa.large_utf8() + ExtType = type( + "_EmptyMetaExt", + (pa.ExtensionType,), + { + "__init__": lambda self: pa.ExtensionType.__init__(self, _s, _n), + "__arrow_ext_serialize__": lambda self: b"", + "__arrow_ext_deserialize__": classmethod(lambda cls, st, se: cls()), + }, + ) + result = walk_field(pa.field("col", ExtType())) + assert len(result) == 1 + assert result[0].extension_metadata is None + + +def test_empty_metadata_normalised_to_none_unregistered(): + """b'' ARROW:extension:metadata value is normalised to None.""" + name = _unique_name() + field = pa.field( + "col", + pa.large_utf8(), + metadata={ + b"ARROW:extension:name": name.encode(), + b"ARROW:extension:metadata": b"", + }, + ) + result = walk_field(field) + assert len(result) == 1 + assert result[0].extension_metadata is None + + +def test_walk_field_returns_single_field_result(): + name = _unique_name() + field = _make_reg_field("col", name, metadata=b"cat") + result = walk_field(field) + assert len(result) == 1 + assert result[0].extension_name == name + + +def test_deduplication(): + """Same (extension_name, extension_metadata) in two columns → one result.""" + name = _unique_name() + meta = b"test.cat" + _n, _m, _s = name, meta, pa.large_utf8() + ExtType = type( + "_DupExt", + (pa.ExtensionType,), + { + "__init__": lambda self: pa.ExtensionType.__init__(self, _s, _n), + "__arrow_ext_serialize__": lambda self: _m, + "__arrow_ext_deserialize__": classmethod(lambda cls, st, se: cls()), + }, + ) + schema = pa.schema([ + pa.field("col_a", ExtType()), + pa.field("col_b", ExtType()), + ]) + result = walk_schema(schema) + assert len(result) == 1 + assert result[0].extension_name == name + assert result[0].extension_metadata == meta +``` + +- [ ] **Step 1.2: Run tests to verify they all fail** + +```bash +cd /path/to/orcapod-python +uv run pytest tests/test_extension_types/test_schema_walker.py -v 2>&1 | head -30 +``` + +Expected: `ModuleNotFoundError` or `ImportError` — `schema_walker` does not exist yet. + +- [ ] **Step 1.3: Implement `schema_walker.py`** + +Create `src/orcapod/extension_types/schema_walker.py` with this content: + +```python +"""Recursive Arrow schema walker for extension type discovery. + +Given a ``pa.Schema`` or a single ``pa.Field``, walks the Arrow type tree +recursively and returns all extension-typed fields found at any depth of +nesting (struct, list, map, etc.). + +This is a pure discovery utility — it never triggers any registration. +""" + +from __future__ import annotations + +import dataclasses + +import pyarrow as pa + + +@dataclasses.dataclass(frozen=True) +class ExtensionTypeInfo: + """Metadata for a single Arrow extension type found in a schema. + + Attributes: + extension_name: The extension type's unique name stored as + ``ARROW:extension:name`` (e.g. ``"pathlib.Path"``). + extension_metadata: The category tag stored as + ``ARROW:extension:metadata`` (e.g. ``b"orcapod.dataclass"``). + ``None`` when absent or serialised as empty bytes. + storage_type: The underlying Arrow storage type + (e.g. ``pa.large_string()``). + """ + + extension_name: str + extension_metadata: bytes | None + storage_type: pa.DataType + + +def walk_schema(schema: pa.Schema) -> list[ExtensionTypeInfo]: + """Walk *schema* and return all extension types found, deduplicated. + + Iterates every top-level field and descends recursively into struct, + list, and map container types. The result is deduplicated by + ``(extension_name, extension_metadata)``; the first occurrence of each + pair is kept. + + Args: + schema: A PyArrow schema to inspect. + + Returns: + Deduplicated list of ``ExtensionTypeInfo`` in depth-first, + first-seen order. + """ + seen: set[tuple[str, bytes | None]] = set() + results: list[ExtensionTypeInfo] = [] + for i in range(schema.num_fields): + _collect(schema.field(i), seen, results) + return results + + +def walk_field(field: pa.Field) -> list[ExtensionTypeInfo]: + """Walk *field*'s type tree and return all extension types found, deduplicated. + + Args: + field: A PyArrow field to inspect. + + Returns: + Deduplicated list of ``ExtensionTypeInfo`` in depth-first, + first-seen order. + """ + seen: set[tuple[str, bytes | None]] = set() + results: list[ExtensionTypeInfo] = [] + _collect(field, seen, results) + return results + + +def _collect( + field: pa.Field, + seen: set[tuple[str, bytes | None]], + results: list[ExtensionTypeInfo], +) -> None: + """Recursively walk *field* and accumulate ``ExtensionTypeInfo`` into *results*. + + Mutates *seen* and *results* in place. Stops descending once a field is + identified as extension-typed — the storage type of an extension type is + not descended into. + + Args: + field: The field to inspect. + seen: Deduplication set of ``(extension_name, extension_metadata)`` + pairs already appended to *results*. + results: Accumulator list. + """ + info = _detect_extension(field) + if info is not None: + key = (info.extension_name, info.extension_metadata) + if key not in seen: + seen.add(key) + results.append(info) + return + + t = field.type + if pa.types.is_struct(t): + for i in range(t.num_fields): + _collect(t.field(i), seen, results) + elif ( + pa.types.is_list(t) + or pa.types.is_large_list(t) + or pa.types.is_fixed_size_list(t) + or pa.types.is_list_view(t) + or pa.types.is_large_list_view(t) + ): + _collect(t.value_field, seen, results) + elif pa.types.is_map(t): + key_field = getattr(t, "key_field", None) + item_field = getattr(t, "item_field", None) + if key_field is not None: + _collect(key_field, seen, results) + if item_field is not None: + _collect(item_field, seen, results) + + +def _detect_extension(field: pa.Field) -> ExtensionTypeInfo | None: + """Extract ``ExtensionTypeInfo`` from *field*, or ``None`` if not extension-typed. + + Checks two channels in order: + + 1. **Registered channel** — ``pa.types.is_extension(field.type)`` is + true. The Python type object carries the name, serialised metadata, + and storage type. + 2. **Unregistered channel** — ``field.metadata`` contains + ``b"ARROW:extension:name"``. The type survived a Parquet/IPC + round-trip without being registered in this process. + + In both cases empty bytes metadata (``b""``) is normalised to ``None``. + + Args: + field: The field to inspect. + + Returns: + ``ExtensionTypeInfo`` if the field is extension-typed, else ``None``. + """ + if pa.types.is_extension(field.type): + ext_type = field.type + raw_meta = ext_type.__arrow_ext_serialize__() + return ExtensionTypeInfo( + extension_name=ext_type.extension_name, + extension_metadata=raw_meta or None, + storage_type=ext_type.storage_type, + ) + + if field.metadata and b"ARROW:extension:name" in field.metadata: + name = field.metadata[b"ARROW:extension:name"].decode("utf-8") + raw_meta = field.metadata.get(b"ARROW:extension:metadata") + return ExtensionTypeInfo( + extension_name=name, + extension_metadata=raw_meta or None, + storage_type=field.type, + ) + + return None +``` + +- [ ] **Step 1.4: Run Task 1 tests to verify they pass** + +```bash +uv run pytest tests/test_extension_types/test_schema_walker.py -v -k "empty_schema or no_extension or top_level or empty_metadata or walk_field or deduplication" +``` + +Expected: all 8 tests PASS. + +- [ ] **Step 1.5: Commit** + +```bash +git add src/orcapod/extension_types/schema_walker.py tests/test_extension_types/test_schema_walker.py +git commit -m "feat(extension_types): add schema_walker with ExtensionTypeInfo and top-level detection (PLT-1654)" +``` + +--- + +## Task 2: Container recursion — struct, list, map, nested combinations + +This task adds the nesting tests and verifies the container recursion already present in +`_collect` (written in Task 1) handles them correctly. + +**Files:** +- Modify: `tests/test_extension_types/test_schema_walker.py` — append new tests + +--- + +- [ ] **Step 2.1: Append the nesting tests** + +Append to `tests/test_extension_types/test_schema_walker.py`: + +```python +# --------------------------------------------------------------------------- +# Task 2 tests: container recursion +# --------------------------------------------------------------------------- + + +def test_list_of_registered(): + """Registered extension type as the value field of a list.""" + name = _unique_name() + value_field = _make_reg_field("item", name, metadata=b"my.cat") + list_field = pa.field("col", pa.list_(value_field)) + result = walk_schema(pa.schema([list_field])) + assert len(result) == 1 + assert result[0].extension_name == name + + +def test_list_of_unregistered(): + """Unregistered extension type as the value field of a list.""" + name = _unique_name() + value_field = _make_unreg_field("item", name, metadata=b"my.cat") + list_field = pa.field("col", pa.list_(value_field)) + result = walk_schema(pa.schema([list_field])) + assert len(result) == 1 + assert result[0].extension_name == name + assert result[0].extension_metadata == b"my.cat" + + +def test_struct_containing_registered(): + """Registered extension type as a field inside a struct.""" + name = _unique_name() + struct_field = pa.field( + "col", + pa.struct([ + _make_reg_field("a", name, metadata=b"my.cat"), + pa.field("b", pa.int64()), + ]), + ) + result = walk_schema(pa.schema([struct_field])) + assert len(result) == 1 + assert result[0].extension_name == name + + +def test_struct_containing_unregistered(): + """Unregistered extension type as a field inside a struct.""" + name = _unique_name() + struct_field = pa.field( + "col", + pa.struct([ + _make_unreg_field("a", name, metadata=b"my.cat"), + pa.field("b", pa.int64()), + ]), + ) + result = walk_schema(pa.schema([struct_field])) + assert len(result) == 1 + assert result[0].extension_name == name + assert result[0].extension_metadata == b"my.cat" + + +def test_nested_list_struct(): + """Registered extension type nested inside list>.""" + name = _unique_name() + struct_type = pa.struct([ + _make_reg_field("x", name, metadata=b"deep.cat"), + pa.field("y", pa.int32()), + ]) + value_field = pa.field("item", struct_type) + col = pa.field("col", pa.list_(value_field)) + result = walk_schema(pa.schema([col])) + assert len(result) == 1 + assert result[0].extension_name == name + assert result[0].extension_metadata == b"deep.cat" + + +def test_map_type(): + """Extension type as the item type of a map (registered channel).""" + name = _unique_name() + _n, _m, _s = name, b"map.cat", pa.large_utf8() + # Build a pa.ExtensionType instance — it IS a pa.DataType and can be + # passed directly to pa.map_() as the item type. + ExtType = type( + "_MapItemExt", + (pa.ExtensionType,), + { + "__init__": lambda self: pa.ExtensionType.__init__(self, _s, _n), + "__arrow_ext_serialize__": lambda self: _m, + "__arrow_ext_deserialize__": classmethod(lambda cls, st, se: cls()), + }, + ) + map_field = pa.field("col", pa.map_(pa.large_utf8(), ExtType())) + result = walk_schema(pa.schema([map_field])) + # _collect uses getattr(t, "item_field") to retrieve the item pa.Field. + # pa.types.is_extension(item_field.type) will be True for the ExtType above. + assert any(r.extension_name == name for r in result) +``` + +- [ ] **Step 2.2: Run the nesting tests to verify they pass** + +```bash +uv run pytest tests/test_extension_types/test_schema_walker.py -v -k "list_of or struct_containing or nested or map_type" +``` + +Expected: all 6 tests PASS. The recursion was already written in `_collect` in Task 1. + +If `test_map_type` fails because `key_field` / `item_field` are not available on `MapType` +in this PyArrow version, skip it with `@pytest.mark.skip` and open a follow-up note. + +- [ ] **Step 2.3: Run the full test file to confirm no regressions** + +```bash +uv run pytest tests/test_extension_types/test_schema_walker.py -v +``` + +Expected: all 14 tests PASS. + +- [ ] **Step 2.4: Commit** + +```bash +git add tests/test_extension_types/test_schema_walker.py +git commit -m "test(extension_types): add nesting and map tests for schema_walker (PLT-1654)" +``` + +--- + +## Task 3: Export from `__init__.py` + +**Files:** +- Modify: `src/orcapod/extension_types/__init__.py` + +--- + +- [ ] **Step 3.1: Update `__init__.py`** + +Open `src/orcapod/extension_types/__init__.py`. It currently reads: + +```python +"""Arrow/Polars extension type system for orcapod. + +This subpackage provides the registry and protocol for converters that map +between Python objects and their Arrow extension type storage representation. + +The module-level `default_extension_type_registry` instance is the process default. +Built-in registrations (`Path`, `UPath`, `UUID`) are added by PLT-1656. +`DataContext` wiring is added by PLT-1660. +""" + +from __future__ import annotations + +from .protocols import ExtensionTypeConverter +from .registry import ExtensionTypeRegistry + +default_extension_type_registry = ExtensionTypeRegistry() + +__all__ = [ + "ExtensionTypeConverter", + "ExtensionTypeRegistry", + "default_extension_type_registry", +] +``` + +Replace the entire file with: + +```python +"""Arrow/Polars extension type system for orcapod. + +This subpackage provides the registry and protocol for converters that map +between Python objects and their Arrow extension type storage representation. + +The module-level `default_extension_type_registry` instance is the process default. +Built-in registrations (`Path`, `UPath`, `UUID`) are added by PLT-1656. +`DataContext` wiring is added by PLT-1660. +""" + +from __future__ import annotations + +from .protocols import ExtensionTypeConverter +from .registry import ExtensionTypeRegistry +from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema + +default_extension_type_registry = ExtensionTypeRegistry() + +__all__ = [ + "ExtensionTypeConverter", + "ExtensionTypeRegistry", + "default_extension_type_registry", + # PLT-1654 + "ExtensionTypeInfo", + "walk_schema", + "walk_field", +] +``` + +- [ ] **Step 3.2: Verify the exports are importable** + +```bash +uv run python -c " +from orcapod.extension_types import ExtensionTypeInfo, walk_schema, walk_field +import pyarrow as pa +schema = pa.schema([pa.field('x', pa.int64())]) +print(walk_schema(schema)) # should print [] +print('OK') +" +``` + +Expected output: +``` +[] +OK +``` + +- [ ] **Step 3.3: Run the full test suite for `test_extension_types/`** + +```bash +uv run pytest tests/test_extension_types/ -v +``` + +Expected: all tests PASS (no regressions in `test_protocols.py` or `test_registry.py`). + +- [ ] **Step 3.4: Commit** + +```bash +git add src/orcapod/extension_types/__init__.py +git commit -m "feat(extension_types): export ExtensionTypeInfo, walk_schema, walk_field (PLT-1654)" +``` + +--- + +## Done + +After Task 3: + +- `src/orcapod/extension_types/schema_walker.py` is complete with `ExtensionTypeInfo`, + `walk_schema`, `walk_field`, `_collect`, and `_detect_extension`. +- `ExtensionTypeInfo`, `walk_schema`, `walk_field` are exported from + `orcapod.extension_types`. +- 14 tests in `tests/test_extension_types/test_schema_walker.py` all pass. +- No existing code was modified; no regressions in other `test_extension_types/` tests. + +Create a PR targeting the `extension-type-system` branch (not `dev`). From 7b0626e5581772d018cfe7ed9ce3551f35388d80 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 05:14:02 +0000 Subject: [PATCH 024/206] feat(extension_types): add schema_walker with ExtensionTypeInfo and top-level detection (PLT-1654) --- src/orcapod/extension_types/schema_walker.py | 158 ++++++++++++++++ .../test_schema_walker.py | 174 ++++++++++++++++++ 2 files changed, 332 insertions(+) create mode 100644 src/orcapod/extension_types/schema_walker.py create mode 100644 tests/test_extension_types/test_schema_walker.py diff --git a/src/orcapod/extension_types/schema_walker.py b/src/orcapod/extension_types/schema_walker.py new file mode 100644 index 00000000..58819831 --- /dev/null +++ b/src/orcapod/extension_types/schema_walker.py @@ -0,0 +1,158 @@ +"""Recursive Arrow schema walker for extension type discovery. + +Given a ``pa.Schema`` or a single ``pa.Field``, walks the Arrow type tree +recursively and returns all extension-typed fields found at any depth of +nesting (struct, list, map, etc.). + +This is a pure discovery utility — it never triggers any registration. +""" + +from __future__ import annotations + +import dataclasses + +import pyarrow as pa + + +@dataclasses.dataclass(frozen=True) +class ExtensionTypeInfo: + """Metadata for a single Arrow extension type found in a schema. + + Attributes: + extension_name: The extension type's unique name stored as + ``ARROW:extension:name`` (e.g. ``"pathlib.Path"``). + extension_metadata: The category tag stored as + ``ARROW:extension:metadata`` (e.g. ``b"orcapod.dataclass"``). + ``None`` when absent or serialised as empty bytes. + storage_type: The underlying Arrow storage type + (e.g. ``pa.large_string()``). + """ + + extension_name: str + extension_metadata: bytes | None + storage_type: pa.DataType + + +def walk_schema(schema: pa.Schema) -> list[ExtensionTypeInfo]: + """Walk *schema* and return all extension types found, deduplicated. + + Iterates every top-level field and descends recursively into struct, + list, and map container types. The result is deduplicated by + ``(extension_name, extension_metadata)``; the first occurrence of each + pair is kept. + + Args: + schema: A PyArrow schema to inspect. + + Returns: + Deduplicated list of ``ExtensionTypeInfo`` in depth-first, + first-seen order. + """ + seen: set[tuple[str, bytes | None]] = set() + results: list[ExtensionTypeInfo] = [] + for i in range(len(schema)): + _collect(schema.field(i), seen, results) + return results + + +def walk_field(field: pa.Field) -> list[ExtensionTypeInfo]: + """Walk *field*'s type tree and return all extension types found, deduplicated. + + Args: + field: A PyArrow field to inspect. + + Returns: + Deduplicated list of ``ExtensionTypeInfo`` in depth-first, + first-seen order. + """ + seen: set[tuple[str, bytes | None]] = set() + results: list[ExtensionTypeInfo] = [] + _collect(field, seen, results) + return results + + +def _collect( + field: pa.Field, + seen: set[tuple[str, bytes | None]], + results: list[ExtensionTypeInfo], +) -> None: + """Recursively walk *field* and accumulate ``ExtensionTypeInfo`` into *results*. + + Mutates *seen* and *results* in place. Stops descending once a field is + identified as extension-typed — the storage type of an extension type is + not descended into. + + Args: + field: The field to inspect. + seen: Deduplication set of ``(extension_name, extension_metadata)`` + pairs already appended to *results*. + results: Accumulator list. + """ + info = _detect_extension(field) + if info is not None: + key = (info.extension_name, info.extension_metadata) + if key not in seen: + seen.add(key) + results.append(info) + return + + t = field.type + if pa.types.is_struct(t): + for i in range(t.num_fields): + _collect(t.field(i), seen, results) + elif ( + pa.types.is_list(t) + or pa.types.is_large_list(t) + or pa.types.is_fixed_size_list(t) + or pa.types.is_list_view(t) + or pa.types.is_large_list_view(t) + ): + _collect(t.value_field, seen, results) + elif pa.types.is_map(t): + key_field = getattr(t, "key_field", None) + item_field = getattr(t, "item_field", None) + if key_field is not None: + _collect(key_field, seen, results) + if item_field is not None: + _collect(item_field, seen, results) + + +def _detect_extension(field: pa.Field) -> ExtensionTypeInfo | None: + """Extract ``ExtensionTypeInfo`` from *field*, or ``None`` if not extension-typed. + + Checks two channels in order: + + 1. **Registered channel** — ``pa.types.is_extension(field.type)`` is + true. The Python type object carries the name, serialised metadata, + and storage type. + 2. **Unregistered channel** — ``field.metadata`` contains + ``b"ARROW:extension:name"``. The type survived a Parquet/IPC + round-trip without being registered in this process. + + In both cases empty bytes metadata (``b""``) is normalised to ``None``. + + Args: + field: The field to inspect. + + Returns: + ``ExtensionTypeInfo`` if the field is extension-typed, else ``None``. + """ + if isinstance(field.type, pa.ExtensionType): + ext_type = field.type + raw_meta = ext_type.__arrow_ext_serialize__() + return ExtensionTypeInfo( + extension_name=ext_type.extension_name, + extension_metadata=raw_meta or None, + storage_type=ext_type.storage_type, + ) + + if field.metadata and b"ARROW:extension:name" in field.metadata: + name = field.metadata[b"ARROW:extension:name"].decode("utf-8") + raw_meta = field.metadata.get(b"ARROW:extension:metadata") + return ExtensionTypeInfo( + extension_name=name, + extension_metadata=raw_meta or None, + storage_type=field.type, + ) + + return None diff --git a/tests/test_extension_types/test_schema_walker.py b/tests/test_extension_types/test_schema_walker.py new file mode 100644 index 00000000..897eff01 --- /dev/null +++ b/tests/test_extension_types/test_schema_walker.py @@ -0,0 +1,174 @@ +"""Tests for schema_walker — recursive Arrow extension type discovery.""" + +from __future__ import annotations + +import re +import uuid + +import pyarrow as pa +import pytest + +from orcapod.extension_types.schema_walker import ( + ExtensionTypeInfo, + walk_field, + walk_schema, +) + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- + + +def _unique_name() -> str: + """Return a unique extension name to avoid cross-test collisions.""" + return f"test.walker.{uuid.uuid4().hex[:8]}" + + +def _make_reg_field( + field_name: str, + ext_name: str, + storage: pa.DataType | None = None, + metadata: bytes = b"test.cat", +) -> pa.Field: + """Create a ``pa.Field`` with an in-memory ``pa.ExtensionType`` (registered channel). + + The extension type is NOT registered in PyArrow's global registry — this + is intentional. ``pa.types.is_extension(field.type)`` returns ``True`` + for any ``pa.ExtensionType`` instance regardless of global registration. + """ + _n = ext_name + _s = storage if storage is not None else pa.large_utf8() + _m = metadata + ExtType = type( + f"_RegExt_{re.sub(r'[^A-Za-z0-9]', '_', ext_name)}", + (pa.ExtensionType,), + { + "__init__": lambda self: pa.ExtensionType.__init__(self, _s, _n), + "__arrow_ext_serialize__": lambda self: _m, + "__arrow_ext_deserialize__": classmethod(lambda cls, st, se: cls()), + }, + ) + return pa.field(field_name, ExtType()) + + +def _make_unreg_field( + field_name: str, + ext_name: str, + storage: pa.DataType | None = None, + metadata: bytes = b"test.cat", +) -> pa.Field: + """Create a ``pa.Field`` with raw Arrow extension metadata (unregistered channel).""" + _s = storage if storage is not None else pa.large_utf8() + return pa.field( + field_name, + _s, + metadata={ + b"ARROW:extension:name": ext_name.encode(), + b"ARROW:extension:metadata": metadata, + }, + ) + + +# --------------------------------------------------------------------------- +# Task 1 tests: top-level detection and deduplication +# --------------------------------------------------------------------------- + + +def test_empty_schema(): + result = walk_schema(pa.schema([])) + assert result == [] + + +def test_no_extension_types(): + schema = pa.schema([ + pa.field("x", pa.int64()), + pa.field("y", pa.large_utf8()), + ]) + assert walk_schema(schema) == [] + + +def test_top_level_registered(): + name = _unique_name() + schema = pa.schema([_make_reg_field("col", name, metadata=b"my.cat")]) + result = walk_schema(schema) + assert len(result) == 1 + assert result[0].extension_name == name + assert result[0].extension_metadata == b"my.cat" + assert result[0].storage_type == pa.large_utf8() + + +def test_top_level_unregistered(): + name = _unique_name() + schema = pa.schema([_make_unreg_field("col", name, metadata=b"my.cat")]) + result = walk_schema(schema) + assert len(result) == 1 + assert result[0].extension_name == name + assert result[0].extension_metadata == b"my.cat" + assert result[0].storage_type == pa.large_utf8() + + +def test_empty_metadata_normalised_to_none_registered(): + """b'' from __arrow_ext_serialize__ is normalised to None.""" + name = _unique_name() + _n, _s = name, pa.large_utf8() + ExtType = type( + "_EmptyMetaExt", + (pa.ExtensionType,), + { + "__init__": lambda self: pa.ExtensionType.__init__(self, _s, _n), + "__arrow_ext_serialize__": lambda self: b"", + "__arrow_ext_deserialize__": classmethod(lambda cls, st, se: cls()), + }, + ) + result = walk_field(pa.field("col", ExtType())) + assert len(result) == 1 + assert result[0].extension_metadata is None + + +def test_empty_metadata_normalised_to_none_unregistered(): + """b'' ARROW:extension:metadata value is normalised to None.""" + name = _unique_name() + field = pa.field( + "col", + pa.large_utf8(), + metadata={ + b"ARROW:extension:name": name.encode(), + b"ARROW:extension:metadata": b"", + }, + ) + result = walk_field(field) + assert len(result) == 1 + assert result[0].extension_metadata is None + + +def test_walk_field_returns_single_field_result(): + name = _unique_name() + field = _make_reg_field("col", name, metadata=b"cat") + result = walk_field(field) + assert len(result) == 1 + assert result[0].extension_name == name + + +def test_deduplication(): + """Same (extension_name, extension_metadata) in two columns → one result.""" + name = _unique_name() + meta = b"test.cat" + _n, _m, _s = name, meta, pa.large_utf8() + ExtType = type( + "_DupExt", + (pa.ExtensionType,), + { + "__init__": lambda self: pa.ExtensionType.__init__(self, _s, _n), + "__arrow_ext_serialize__": lambda self: _m, + "__arrow_ext_deserialize__": classmethod(lambda cls, st, se: cls()), + }, + ) + schema = pa.schema([ + pa.field("col_a", ExtType()), + pa.field("col_b", ExtType()), + ]) + result = walk_schema(schema) + assert len(result) == 1 + assert result[0].extension_name == name + assert result[0].extension_metadata == meta From a62479bceb9336c1d696cba9d24b3f075527b9d0 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 05:19:33 +0000 Subject: [PATCH 025/206] refactor(extension_types): clarify schema_walker docstrings and simplify dedup test (PLT-1654) Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/schema_walker.py | 9 +++++++-- tests/test_extension_types/test_schema_walker.py | 14 ++------------ 2 files changed, 9 insertions(+), 14 deletions(-) diff --git a/src/orcapod/extension_types/schema_walker.py b/src/orcapod/extension_types/schema_walker.py index 58819831..f0c7f351 100644 --- a/src/orcapod/extension_types/schema_walker.py +++ b/src/orcapod/extension_types/schema_walker.py @@ -46,7 +46,8 @@ def walk_schema(schema: pa.Schema) -> list[ExtensionTypeInfo]: Returns: Deduplicated list of ``ExtensionTypeInfo`` in depth-first, - first-seen order. + first-seen order. Extension type storage types are not descended + into — only the logical schema type tree is walked. """ seen: set[tuple[str, bytes | None]] = set() results: list[ExtensionTypeInfo] = [] @@ -63,7 +64,8 @@ def walk_field(field: pa.Field) -> list[ExtensionTypeInfo]: Returns: Deduplicated list of ``ExtensionTypeInfo`` in depth-first, - first-seen order. + first-seen order. Extension type storage types are not descended + into — only the logical schema type tree is walked. """ seen: set[tuple[str, bytes | None]] = set() results: list[ExtensionTypeInfo] = [] @@ -107,8 +109,11 @@ def _collect( or pa.types.is_list_view(t) or pa.types.is_large_list_view(t) ): + # .value_field is guaranteed by Arrow's list type contract. _collect(t.value_field, seen, results) elif pa.types.is_map(t): + # key_field / item_field are not part of PyArrow's stable public API + # for MapType — use getattr defensively across versions. key_field = getattr(t, "key_field", None) item_field = getattr(t, "item_field", None) if key_field is not None: diff --git a/tests/test_extension_types/test_schema_walker.py b/tests/test_extension_types/test_schema_walker.py index 897eff01..0bcda832 100644 --- a/tests/test_extension_types/test_schema_walker.py +++ b/tests/test_extension_types/test_schema_walker.py @@ -154,19 +154,9 @@ def test_deduplication(): """Same (extension_name, extension_metadata) in two columns → one result.""" name = _unique_name() meta = b"test.cat" - _n, _m, _s = name, meta, pa.large_utf8() - ExtType = type( - "_DupExt", - (pa.ExtensionType,), - { - "__init__": lambda self: pa.ExtensionType.__init__(self, _s, _n), - "__arrow_ext_serialize__": lambda self: _m, - "__arrow_ext_deserialize__": classmethod(lambda cls, st, se: cls()), - }, - ) schema = pa.schema([ - pa.field("col_a", ExtType()), - pa.field("col_b", ExtType()), + _make_reg_field("col_a", name, metadata=meta), + _make_reg_field("col_b", name, metadata=meta), ]) result = walk_schema(schema) assert len(result) == 1 From 4ee4427b4aa079c378b097508944308a2af3403b Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 05:21:49 +0000 Subject: [PATCH 026/206] test(extension_types): add nesting and map tests for schema_walker (PLT-1654) --- .../test_schema_walker.py | 94 +++++++++++++++++++ 1 file changed, 94 insertions(+) diff --git a/tests/test_extension_types/test_schema_walker.py b/tests/test_extension_types/test_schema_walker.py index 0bcda832..43dd7954 100644 --- a/tests/test_extension_types/test_schema_walker.py +++ b/tests/test_extension_types/test_schema_walker.py @@ -162,3 +162,97 @@ def test_deduplication(): assert len(result) == 1 assert result[0].extension_name == name assert result[0].extension_metadata == meta + + +# --------------------------------------------------------------------------- +# Task 2 tests: container recursion +# --------------------------------------------------------------------------- + + +def test_list_of_registered(): + """Registered extension type as the value field of a list.""" + name = _unique_name() + value_field = _make_reg_field("item", name, metadata=b"my.cat") + list_field = pa.field("col", pa.list_(value_field)) + result = walk_schema(pa.schema([list_field])) + assert len(result) == 1 + assert result[0].extension_name == name + + +def test_list_of_unregistered(): + """Unregistered extension type as the value field of a list.""" + name = _unique_name() + value_field = _make_unreg_field("item", name, metadata=b"my.cat") + list_field = pa.field("col", pa.list_(value_field)) + result = walk_schema(pa.schema([list_field])) + assert len(result) == 1 + assert result[0].extension_name == name + assert result[0].extension_metadata == b"my.cat" + + +def test_struct_containing_registered(): + """Registered extension type as a field inside a struct.""" + name = _unique_name() + struct_field = pa.field( + "col", + pa.struct([ + _make_reg_field("a", name, metadata=b"my.cat"), + pa.field("b", pa.int64()), + ]), + ) + result = walk_schema(pa.schema([struct_field])) + assert len(result) == 1 + assert result[0].extension_name == name + + +def test_struct_containing_unregistered(): + """Unregistered extension type as a field inside a struct.""" + name = _unique_name() + struct_field = pa.field( + "col", + pa.struct([ + _make_unreg_field("a", name, metadata=b"my.cat"), + pa.field("b", pa.int64()), + ]), + ) + result = walk_schema(pa.schema([struct_field])) + assert len(result) == 1 + assert result[0].extension_name == name + assert result[0].extension_metadata == b"my.cat" + + +def test_nested_list_struct(): + """Registered extension type nested inside list>.""" + name = _unique_name() + struct_type = pa.struct([ + _make_reg_field("x", name, metadata=b"deep.cat"), + pa.field("y", pa.int32()), + ]) + value_field = pa.field("item", struct_type) + col = pa.field("col", pa.list_(value_field)) + result = walk_schema(pa.schema([col])) + assert len(result) == 1 + assert result[0].extension_name == name + assert result[0].extension_metadata == b"deep.cat" + + +def test_map_type(): + """Extension type as the item type of a map (registered channel).""" + name = _unique_name() + _n, _m, _s = name, b"map.cat", pa.large_utf8() + # Build a pa.ExtensionType instance — it IS a pa.DataType and can be + # passed directly to pa.map_() as the item type. + ExtType = type( + "_MapItemExt", + (pa.ExtensionType,), + { + "__init__": lambda self: pa.ExtensionType.__init__(self, _s, _n), + "__arrow_ext_serialize__": lambda self: _m, + "__arrow_ext_deserialize__": classmethod(lambda cls, st, se: cls()), + }, + ) + map_field = pa.field("col", pa.map_(pa.large_utf8(), ExtType())) + result = walk_schema(pa.schema([map_field])) + # _collect uses getattr(t, "item_field") to retrieve the item pa.Field. + # pa.types.is_extension(item_field.type) will be True for the ExtType above. + assert any(r.extension_name == name for r in result) From 0289fcb499ad2235142943783b3afb72e9ca1785 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 05:24:25 +0000 Subject: [PATCH 027/206] test(extension_types): strengthen container recursion test assertions (PLT-1654) --- tests/test_extension_types/test_schema_walker.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/tests/test_extension_types/test_schema_walker.py b/tests/test_extension_types/test_schema_walker.py index 43dd7954..33fe1bfa 100644 --- a/tests/test_extension_types/test_schema_walker.py +++ b/tests/test_extension_types/test_schema_walker.py @@ -177,6 +177,7 @@ def test_list_of_registered(): result = walk_schema(pa.schema([list_field])) assert len(result) == 1 assert result[0].extension_name == name + assert result[0].extension_metadata == b"my.cat" def test_list_of_unregistered(): @@ -203,6 +204,7 @@ def test_struct_containing_registered(): result = walk_schema(pa.schema([struct_field])) assert len(result) == 1 assert result[0].extension_name == name + assert result[0].extension_metadata == b"my.cat" def test_struct_containing_unregistered(): @@ -255,4 +257,5 @@ def test_map_type(): result = walk_schema(pa.schema([map_field])) # _collect uses getattr(t, "item_field") to retrieve the item pa.Field. # pa.types.is_extension(item_field.type) will be True for the ExtType above. - assert any(r.extension_name == name for r in result) + assert len(result) == 1 + assert result[0].extension_name == name From 27ce1bc540964a433a8c0427c63f6e02b5aed96a Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 05:28:15 +0000 Subject: [PATCH 028/206] feat(extension_types): export ExtensionTypeInfo, walk_schema, walk_field (PLT-1654) --- src/orcapod/extension_types/__init__.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index c9b29251..06f66449 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -12,6 +12,7 @@ from .protocols import ExtensionTypeConverter from .registry import ExtensionTypeRegistry +from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema default_extension_type_registry = ExtensionTypeRegistry() @@ -19,4 +20,8 @@ "ExtensionTypeConverter", "ExtensionTypeRegistry", "default_extension_type_registry", + # PLT-1654 + "ExtensionTypeInfo", + "walk_schema", + "walk_field", ] From b28f8d9b596bde7f16d42fa6fadc310167c415a9 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 05:31:22 +0000 Subject: [PATCH 029/206] docs(extension_types): fix _detect_extension docstring to use isinstance check (PLT-1654) --- src/orcapod/extension_types/schema_walker.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/orcapod/extension_types/schema_walker.py b/src/orcapod/extension_types/schema_walker.py index f0c7f351..ce04369a 100644 --- a/src/orcapod/extension_types/schema_walker.py +++ b/src/orcapod/extension_types/schema_walker.py @@ -127,8 +127,8 @@ def _detect_extension(field: pa.Field) -> ExtensionTypeInfo | None: Checks two channels in order: - 1. **Registered channel** — ``pa.types.is_extension(field.type)`` is - true. The Python type object carries the name, serialised metadata, + 1. **Registered channel** — ``isinstance(field.type, pa.ExtensionType)`` + is true. The Python type object carries the name, serialised metadata, and storage type. 2. **Unregistered channel** — ``field.metadata`` contains ``b"ARROW:extension:name"``. The type survived a Parquet/IPC From 66b39174d284370ea149cb2c252b2530ab4248b5 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 05:43:42 +0000 Subject: [PATCH 030/206] feat(extension_types): add debug logging to schema_walker _collect (PLT-1654) --- src/orcapod/extension_types/schema_walker.py | 22 ++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/src/orcapod/extension_types/schema_walker.py b/src/orcapod/extension_types/schema_walker.py index ce04369a..9591a714 100644 --- a/src/orcapod/extension_types/schema_walker.py +++ b/src/orcapod/extension_types/schema_walker.py @@ -10,9 +10,12 @@ from __future__ import annotations import dataclasses +import logging import pyarrow as pa +logger = logging.getLogger(__name__) + @dataclasses.dataclass(frozen=True) class ExtensionTypeInfo: @@ -94,12 +97,29 @@ def _collect( if info is not None: key = (info.extension_name, info.extension_metadata) if key not in seen: + logger.debug( + "schema_walker: found extension type %r (metadata=%r) in field %r", + info.extension_name, + info.extension_metadata, + field.name, + ) seen.add(key) results.append(info) + else: + logger.debug( + "schema_walker: skipping duplicate extension type %r in field %r", + info.extension_name, + field.name, + ) return t = field.type if pa.types.is_struct(t): + logger.debug( + "schema_walker: descending into struct field %r (%d sub-fields)", + field.name, + t.num_fields, + ) for i in range(t.num_fields): _collect(t.field(i), seen, results) elif ( @@ -109,9 +129,11 @@ def _collect( or pa.types.is_list_view(t) or pa.types.is_large_list_view(t) ): + logger.debug("schema_walker: descending into list field %r", field.name) # .value_field is guaranteed by Arrow's list type contract. _collect(t.value_field, seen, results) elif pa.types.is_map(t): + logger.debug("schema_walker: descending into map field %r", field.name) # key_field / item_field are not part of PyArrow's stable public API # for MapType — use getattr defensively across versions. key_field = getattr(t, "key_field", None) From d8b4030145578032fd900d2b7cda8e18ae0a5dcf Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 05:47:35 +0000 Subject: [PATCH 031/206] fix(extension_types): clarify detection channel names, use direct MapType attrs (PLT-1654) --- src/orcapod/extension_types/schema_walker.py | 25 +++++++++---------- ...026-06-14-plt-1654-schema-walker-design.md | 19 ++++++++------ 2 files changed, 24 insertions(+), 20 deletions(-) diff --git a/src/orcapod/extension_types/schema_walker.py b/src/orcapod/extension_types/schema_walker.py index 9591a714..34a60324 100644 --- a/src/orcapod/extension_types/schema_walker.py +++ b/src/orcapod/extension_types/schema_walker.py @@ -134,14 +134,10 @@ def _collect( _collect(t.value_field, seen, results) elif pa.types.is_map(t): logger.debug("schema_walker: descending into map field %r", field.name) - # key_field / item_field are not part of PyArrow's stable public API - # for MapType — use getattr defensively across versions. - key_field = getattr(t, "key_field", None) - item_field = getattr(t, "item_field", None) - if key_field is not None: - _collect(key_field, seen, results) - if item_field is not None: - _collect(item_field, seen, results) + # key_field and item_field are stable on pa.MapType since PyArrow 14; + # this project requires >= 20, so direct attribute access is safe. + _collect(t.key_field, seen, results) + _collect(t.item_field, seen, results) def _detect_extension(field: pa.Field) -> ExtensionTypeInfo | None: @@ -149,12 +145,15 @@ def _detect_extension(field: pa.Field) -> ExtensionTypeInfo | None: Checks two channels in order: - 1. **Registered channel** — ``isinstance(field.type, pa.ExtensionType)`` - is true. The Python type object carries the name, serialised metadata, - and storage type. - 2. **Unregistered channel** — ``field.metadata`` contains + 1. **In-memory ExtensionType channel** — ``isinstance(field.type, + pa.ExtensionType)`` is true. This fires whenever a ``pa.ExtensionType`` + instance is attached to the field, regardless of whether the type is + registered in PyArrow's process-global registry. The type object + carries the name, serialised metadata, and storage type. + 2. **Field-metadata channel** — ``field.metadata`` contains ``b"ARROW:extension:name"``. The type survived a Parquet/IPC - round-trip without being registered in this process. + round-trip as raw Arrow field metadata without a corresponding + in-memory ``pa.ExtensionType`` instance in this process. In both cases empty bytes metadata (``b""``) is normalised to ``None``. diff --git a/superpowers/specs/2026-06-14-plt-1654-schema-walker-design.md b/superpowers/specs/2026-06-14-plt-1654-schema-walker-design.md index 240ff3f9..d081f85b 100644 --- a/superpowers/specs/2026-06-14-plt-1654-schema-walker-design.md +++ b/superpowers/specs/2026-06-14-plt-1654-schema-walker-design.md @@ -27,8 +27,10 @@ parallel-build strategy: old semantic type code is untouched until PLT-1660 (the - `walk_schema(schema)` returns all extension types found in a `pa.Schema` at any depth, deduplicated by `(extension_name, extension_metadata)`. - `walk_field(field)` does the same for a single `pa.Field`. -- Both channels are handled: registered types (`pa.types.is_extension`) and unregistered - types (raw `ARROW:extension:name` field metadata after a Parquet/IPC round-trip). +- Both channels are handled: in-memory `pa.ExtensionType` instances + (`isinstance(field.type, pa.ExtensionType)` — no global registration required) and + field-metadata types (raw `ARROW:extension:name` field metadata after a Parquet/IPC + round-trip). - All container nesting cases work: top-level column, list value, struct field, map key/value, and arbitrary combinations thereof. - Empty bytes `b""` from `__arrow_ext_serialize__()` is normalised to `None` so callers @@ -114,9 +116,11 @@ columns, only the first occurrence (and its `storage_type`) is kept. **`_detect_extension(field) -> ExtensionTypeInfo | None`** — detects whether a field carries extension type information via either channel: -**Channel 1 — Registered** (`pa.types.is_extension(field.type)` is True): +**Channel 1 — In-memory ExtensionType** (`isinstance(field.type, pa.ExtensionType)` is True): -The extension type is registered in this process; the type object carries everything: +A `pa.ExtensionType` instance is attached to the field. No global registry registration +is required — this branch fires for any `pa.ExtensionType` subclass instance, whether +registered or not. The type object carries everything: ```python ext_type = field.type @@ -167,9 +171,10 @@ __all__ = [ ## Tests — `tests/test_extension_types/test_schema_walker.py` -Uses the same `_make_stub` / `_unique_name` helper pattern from `test_registry.py`. -Registered-channel tests use `ExtensionTypeRegistry` to put types into PyArrow's global -registry. Unregistered-channel tests construct `pa.Field` objects with explicit +Uses `_unique_name()` and `_make_reg_field()` / `_make_unreg_field()` helpers. +In-memory-channel tests construct `pa.ExtensionType` subclass instances directly via +`type()` and attach them to a `pa.Field` — **no global registration** is performed. +Field-metadata-channel tests construct `pa.Field` objects with explicit `metadata={b"ARROW:extension:name": ..., b"ARROW:extension:metadata": ...}`. | Test | What it covers | From 91ad91be8de2a8b18addf1f09f99da2c9fbe735a Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 08:42:06 +0000 Subject: [PATCH 032/206] docs(extension_types): add PLT-1668 LogicalType redesign spec Co-Authored-By: Claude Sonnet 4.6 --- ...26-06-14-plt-1668-logical-type-redesign.md | 271 ++++++++++++++++++ 1 file changed, 271 insertions(+) create mode 100644 superpowers/specs/2026-06-14-plt-1668-logical-type-redesign.md diff --git a/superpowers/specs/2026-06-14-plt-1668-logical-type-redesign.md b/superpowers/specs/2026-06-14-plt-1668-logical-type-redesign.md new file mode 100644 index 00000000..17331a56 --- /dev/null +++ b/superpowers/specs/2026-06-14-plt-1668-logical-type-redesign.md @@ -0,0 +1,271 @@ +# PLT-1668: Redesign ExtensionTypeConverter → LogicalType protocol with converter-owned extension types and three-way binding in LogicalTypeRegistry + +**Date:** 2026-06-14 +**Issue:** [PLT-1668](https://linear.app/enigma-metamorphic/issue/PLT-1668) +**Branch:** `eywalker/plt-1668-redesign-extensiontypeconverter-logicaltype-protocol-with` +**Target:** `extension-type-system` + +--- + +## Problem + +`ExtensionTypeConverter` and `ExtensionTypeRegistry` have a separation-of-concerns violation: +the registry dynamically synthesises `pa.ExtensionType` and `pl.BaseExtension` subclasses at +registration time, reading raw ingredient properties (`extension_name`, `extension_metadata`, +`storage_type`) directly off the converter. The converter supplies ingredients; the registry +manufactures the types. This is the wrong ownership model. + +It also breaks when the Arrow extension type already exists as a pre-registered type (e.g. +PyArrow's built-in `"arrow.uuid"`) because the registry always tries to create a fresh type and +errors on the resulting `ArrowKeyError`. + +--- + +## Solution + +Introduce **`LogicalType`**: a protocol where each implementation owns and returns its Arrow and +Polars extension types directly. The registry's job shrinks to storing the binding, triggering +side-effect registrations in the PA/Polars global registries, and enforcing that no two logical +types share any member of their three-way identity triplet +`(logical_type_name, arrow_ext_name, python_type)`. + +--- + +## Design + +### `LogicalType` protocol (`extension_types/protocols.py`) + +Replaces `ExtensionTypeConverter`. All six members are required. + +```python +@runtime_checkable +class LogicalType(Protocol): + @property + def logical_type_name(self) -> str: + """Unique orcapod identifier for this logical type. + + By convention the Python FQCN (e.g. ``"uuid.UUID"``), but any unique + string is valid. Does NOT need to match the Arrow extension type name. + """ + + @property + def python_type(self) -> type: + """The Python class this logical type represents.""" + + def get_arrow_extension_type(self) -> pa.ExtensionType: + """Return the Arrow extension type for this logical type. + + ``storage_type``, ``extension_name``, and serialised metadata are + encapsulated inside the returned type; they are no longer top-level + properties on ``LogicalType``. + + For custom types: create and return an instance of a new + ``pa.ExtensionType`` subclass (e.g. via ``make_arrow_extension_type``). + For pre-existing types: return the existing instance directly + (e.g. ``pa.uuid()``). + """ + + def get_polars_extension_type(self) -> pl.BaseExtension: + """Return an instance of the Polars extension type for this logical type. + + The registry calls ``type(instance)`` to obtain the class passed to + ``pl.register_extension_type``. + """ + + def python_to_storage(self, value: Any) -> Any: + """Convert a Python value to its Arrow storage representation.""" + + def storage_to_python(self, storage_value: Any) -> Any: + """Convert an Arrow storage value back to a Python object.""" +``` + +**Removed from protocol** (now encapsulated inside the extension type instances): +- `extension_name` → accessible via `get_arrow_extension_type().extension_name` +- `extension_metadata` → `get_arrow_extension_type().__arrow_ext_serialize__()` +- `storage_type` → `get_arrow_extension_type().storage_type` + +--- + +### `make_arrow_extension_type` helper (`extension_types/registry.py`) + +A module-level convenience factory for custom `LogicalType` implementations that need to +synthesise a new `pa.ExtensionType` subclass. Returns the **class** (not an instance), so +callers can instantiate it on demand and create parameterised variants in the future. + +```python +def make_arrow_extension_type( + extension_name: str, + storage_type: pa.DataType, + metadata: bytes | None = None, +) -> type[pa.ExtensionType]: + """Synthesise and return a ``pa.ExtensionType`` subclass. + + Returns the *class*, not an instance — callers instantiate it inside their + ``get_arrow_extension_type()`` implementation. Returning the class preserves + the option to create multiple instances or future parameterised variants from + the same class. + + This is a low-level building block. The full pattern for binding a Python + type to a specific Arrow/Polars representation — the extension type factory — + is the responsibility of each ``LogicalType`` implementation. See PLT-1656 + for the built-in implementations (``Path``, ``UPath``, ``UUID``). + """ +``` + +Internally uses `type()` dynamic class synthesis (the same technique previously inside +`_register_arrow_ext_type`), now surfaced as a public utility. + +**Typical usage pattern:** + +```python +_MyArrowExt = make_arrow_extension_type("my.Type", pa.large_string(), b"my.category") + +class MyLogicalType: + def get_arrow_extension_type(self) -> pa.ExtensionType: + return _MyArrowExt() +``` + +--- + +### `LogicalTypeRegistry` (`extension_types/registry.py`) + +Replaces `ExtensionTypeRegistry`. + +#### Storage + +Three per-instance dicts — no module-level shadow dicts: + +```python +_by_logical_name: dict[str, LogicalType] +_by_arrow_name: dict[str, LogicalType] # keyed by arrow_ext_type.extension_name +_by_python_type: dict[type, LogicalType] +``` + +Uniqueness is enforced per-instance. The process-global `default_logical_type_registry` +singleton provides effective process-wide uniqueness for normal use. + +#### `register(logical_type: LogicalType)` — full behaviour + +1. Derive `arrow_ext_name = logical_type.get_arrow_extension_type().extension_name` +2. Derive `py_type = logical_type.python_type` +3. **Triplet conflict check** — for each of the three keys (`logical_type_name`, + `arrow_ext_name`, `py_type`): if already bound to a *different* `LogicalType`, + raise `ValueError` naming the conflicting key and both logical type names. +4. **Idempotent check** — if all three keys are already bound to the *same* `LogicalType`, + return immediately (no-op). +5. Attempt `pa.register_extension_type(logical_type.get_arrow_extension_type())`. + If `pa.lib.ArrowKeyError` is raised (type already registered — by a prior call on + another registry instance, or by an external source such as PyArrow itself), accept + silently and continue. Validation of the pre-existing type against the expected class + is deferred to PLT-1669. +6. Derive `polars_ext_class = type(logical_type.get_polars_extension_type())`. + Attempt `pl.register_extension_type(arrow_ext_name, polars_ext_class)`. + If `ValueError` is raised (already registered), accept silently and continue. +7. Store three-way binding: + - `_by_logical_name[logical_type_name] = logical_type` + - `_by_arrow_name[arrow_ext_name] = logical_type` + - `_by_python_type[py_type] = logical_type` + +#### Lookup methods + +| Method | Description | +|---|---| +| `get_by_logical_name(name: str) -> LogicalType \| None` | Direct dict lookup by logical type name | +| `get_by_python_type(python_type: type) -> LogicalType \| None` | Exact match first; falls back to `issubclass` scan (first registered wins) | +| `get_by_arrow_extension_name(arrow_name: str) -> LogicalType \| None` | Direct dict lookup by Arrow extension name; required for the Arrow schema read path | + +#### Removed + +- `_register_arrow_ext_type`, `_register_polars_ext_type` (synthesis logic moved to + `make_arrow_extension_type` and individual `LogicalType` implementations) +- `_ARROW_REGISTRY`, `_POLARS_REGISTRY` module-level shadow dicts +- `get_converter_for_name`, `get_converter_for_python_type` +- `has_extension_name`, `has_python_type`, `list_extension_names`, `list_python_types` + +--- + +### `extension_types/__init__.py` + +```python +from .protocols import LogicalType +from .registry import LogicalTypeRegistry, make_arrow_extension_type +from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema + +default_logical_type_registry = LogicalTypeRegistry() + +__all__ = [ + "LogicalType", + "LogicalTypeRegistry", + "make_arrow_extension_type", + "default_logical_type_registry", + # PLT-1654 + "ExtensionTypeInfo", + "walk_schema", + "walk_field", +] +``` + +`default_extension_type_registry` is removed with no backward-compat alias (greenfield pre-v0.1.0). + +--- + +### `extension_types/schema_walker.py` + +No logic changes. `schema_walker.py` has no imports of `ExtensionTypeConverter` or +`ExtensionTypeRegistry` — it is self-contained around `ExtensionTypeInfo`, which is +unchanged. + +--- + +## Tests + +### `tests/test_extension_types/test_protocols.py` + +Replace `_StubConverter` with a `_StubLogicalType` conforming to the new protocol +(owns a `pa.ExtensionType` subclass and a `pl.BaseExtension` subclass). Three tests: + +- `test_protocol_is_importable` — `LogicalType` can be imported +- `test_protocol_defines_required_members` — `isinstance(stub, LogicalType)` passes +- `test_conforming_class_satisfies_protocol` — exercises all six protocol members + +### `tests/test_extension_types/test_registry.py` + +**Stub rework:** `_make_stub()` produces a `LogicalType` conforming object. Each stub creates +its own `pa.ExtensionType` subclass (via `make_arrow_extension_type`) and `pl.BaseExtension` +subclass, returned from the respective getter methods. Factory gains `logical_name` parameter. + +**Renamed/updated existing tests:** +- `test_register_stores_converter` → `test_register_stores_three_way_binding` (asserts all three + lookup methods return the registered object) +- `test_register_duplicate_raises` → becomes a triplet conflict case +- Lookup tests updated for `get_by_logical_name`, `get_by_python_type`, `get_by_arrow_extension_name` +- Tests for removed methods (`has_extension_name`, `has_python_type`, `list_*`) deleted + +**New tests for three-way binding and conflict detection:** + +| Test | What it verifies | +|---|---| +| `test_register_idempotent_same_instance` | Registering the same `LogicalType` object twice is a no-op | +| `test_triplet_conflict_same_arrow_name_raises` | Different `logical_type_name`, same Arrow ext name → `ValueError` naming conflicting key | +| `test_triplet_conflict_same_python_type_raises` | Shared `python_type` → `ValueError` | +| `test_triplet_conflict_same_logical_name_raises` | Shared `logical_type_name` → `ValueError` | +| `test_register_preexisting_arrow_type_succeeds` | Pre-registered Arrow type (`ArrowKeyError`) → no error; three-way binding stored | +| `test_register_preexisting_polars_type_succeeds` | Pre-registered Polars type (`ValueError`) → no error; three-way binding stored | +| `test_get_by_arrow_extension_name_miss` | Returns `None` for unknown arrow name | +| `test_get_by_python_type_subclass` | `issubclass` fallback still works | + +**End-to-end tests** (round-trip, Parquet) retained — stubs updated to `LogicalType` shape; +`_build_ext_array` uses `conv.get_arrow_extension_type()` directly. + +**Module-level instance test:** `default_logical_type_registry` is a `LogicalTypeRegistry`, +starts empty. + +--- + +## Out of Scope + +- Built-in `LogicalType` implementations (`PathLogicalType`, `UPathLogicalType`, + `UUIDLogicalType`) — PLT-1656 +- Wiring `LogicalTypeRegistry` into `DataContext` — PLT-1660 +- Validation of pre-existing Arrow type class on `ArrowKeyError` — PLT-1669 +- Thread-safety of the global registry instance — deferred From 2d0ded2f1a936080d5dad55da15d5d853d7fe92e Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 09:03:26 +0000 Subject: [PATCH 033/206] docs(extension_types): add PLT-1668 implementation plan Co-Authored-By: Claude Sonnet 4.6 --- ...26-06-14-plt-1668-logical-type-redesign.md | 980 ++++++++++++++++++ 1 file changed, 980 insertions(+) create mode 100644 superpowers/plans/2026-06-14-plt-1668-logical-type-redesign.md diff --git a/superpowers/plans/2026-06-14-plt-1668-logical-type-redesign.md b/superpowers/plans/2026-06-14-plt-1668-logical-type-redesign.md new file mode 100644 index 00000000..f807fe9f --- /dev/null +++ b/superpowers/plans/2026-06-14-plt-1668-logical-type-redesign.md @@ -0,0 +1,980 @@ +# PLT-1668: LogicalType Redesign Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use sensei:subagent-driven-development (recommended) or sensei:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Replace `ExtensionTypeConverter`/`ExtensionTypeRegistry` with `LogicalType`/`LogicalTypeRegistry` so that each logical type owns its Arrow and Polars extension types directly via `get_arrow_extension_type()` / `get_polars_extension_type()`, and the registry enforces a three-way binding triplet `(logical_type_name, arrow_ext_name, python_type)`. + +**Architecture:** The `LogicalType` protocol gains two new methods (`get_arrow_extension_type`, `get_polars_extension_type`) and loses three flat properties (`extension_name`, `extension_metadata`, `storage_type`). The registry drops module-level shadow dicts entirely — uniqueness is enforced per-instance via three internal dicts. A new `make_arrow_extension_type(extension_name, storage_type, metadata) -> type[pa.ExtensionType]` helper replaces the dynamic synthesis that previously lived inside the registry. + +**Tech Stack:** Python 3.12+, PyArrow ≥ 20, Polars ≥ 1.36.0, pytest, uv. + +--- + +## File Map + +| File | Action | Responsibility | +|---|---|---| +| `src/orcapod/extension_types/protocols.py` | Rewrite | `LogicalType` protocol | +| `src/orcapod/extension_types/registry.py` | Rewrite | `make_arrow_extension_type` helper + `LogicalTypeRegistry` | +| `src/orcapod/extension_types/__init__.py` | Update | Export new names + `default_logical_type_registry` | +| `src/orcapod/extension_types/schema_walker.py` | **No change** | Self-contained; no protocol imports | +| `tests/test_extension_types/test_protocols.py` | Rewrite | Protocol conformance tests | +| `tests/test_extension_types/test_registry.py` | Rewrite | Stub helpers + all registry tests | + +--- + +### Task 1: Replace `ExtensionTypeConverter` with `LogicalType` in `protocols.py` + +**Files:** +- Modify: `src/orcapod/extension_types/protocols.py` + +- [ ] **Step 1: Overwrite `protocols.py` with the `LogicalType` protocol** + +```python +# src/orcapod/extension_types/protocols.py +"""Protocol definitions for the Arrow/Polars extension type system. + +This module defines ``LogicalType`` — the contract for all implementations +that bind a Python class to its Arrow and Polars extension type representation. + +Note: + This module is part of the parallel-build phase. The old + ``SemanticStructConverterProtocol`` in ``protocols/semantic_types_protocols.py`` + is untouched; it is removed in PLT-1660. +""" + +from __future__ import annotations + +from typing import TYPE_CHECKING, Any, Protocol, runtime_checkable + +if TYPE_CHECKING: + import polars as pl + import pyarrow as pa + + +@runtime_checkable +class LogicalType(Protocol): + """Protocol for Arrow/Polars extension-type-backed logical types. + + A ``LogicalType`` is a three-way binding between a unique logical type name + (orcapod's identifier), a Python class, and Arrow/Polars extension types. + Each implementation *owns* its Arrow and Polars extension types by providing + them directly via ``get_arrow_extension_type`` and ``get_polars_extension_type``. + + This protocol is Arrow I/O only — hashing is not a logical type responsibility. + """ + + @property + def logical_type_name(self) -> str: + """Unique orcapod identifier for this logical type. + + By convention the Python FQCN (e.g. ``"uuid.UUID"``), but any unique + string is valid. Does NOT need to match the Arrow extension type name. + """ + ... + + @property + def python_type(self) -> type: + """The Python class this logical type represents.""" + ... + + def get_arrow_extension_type(self) -> pa.ExtensionType: + """Return the Arrow extension type for this logical type. + + ``storage_type``, ``extension_name``, and serialised metadata are + encapsulated inside the returned type; they are no longer top-level + properties on ``LogicalType``. + + For custom types: create and return an instance of a new + ``pa.ExtensionType`` subclass (e.g. via ``make_arrow_extension_type``). + For pre-existing types: return the existing instance directly + (e.g. ``pa.uuid()``). + """ + ... + + def get_polars_extension_type(self) -> pl.BaseExtension: + """Return an instance of the Polars extension type for this logical type. + + The registry calls ``type(instance)`` to obtain the class passed to + ``pl.register_extension_type``. + """ + ... + + def python_to_storage(self, value: Any) -> Any: + """Convert a Python value to its Arrow storage representation. + + Args: + value: A Python object of type ``python_type``. + + Returns: + A value suitable for use as an Arrow scalar or array element + matching the storage type of ``get_arrow_extension_type()``. + """ + ... + + def storage_to_python(self, storage_value: Any) -> Any: + """Convert an Arrow storage value back to a Python object. + + Args: + storage_value: A scalar or array element from the Arrow storage array. + + Returns: + A Python object of type ``python_type``. + """ + ... +``` + +- [ ] **Step 2: Verify old protocol tests now fail** + +```bash +cd /path/to/orcapod-python +uv run pytest tests/test_extension_types/test_protocols.py -v +``` + +Expected: FAIL — `ExtensionTypeConverter` import error and protocol checks fail. + +--- + +### Task 2: Update `test_protocols.py` for the new `LogicalType` protocol + +**Files:** +- Modify: `tests/test_extension_types/test_protocols.py` + +- [ ] **Step 1: Overwrite `test_protocols.py`** + +```python +# tests/test_extension_types/test_protocols.py +"""Tests for LogicalType protocol.""" + +from __future__ import annotations + +import pyarrow as pa +import polars as pl + +from orcapod.extension_types.protocols import LogicalType +from orcapod.extension_types.registry import make_arrow_extension_type + + +_StubArrowExtClass = make_arrow_extension_type( + "test.module.MyType", pa.large_string(), b"test.category" +) + + +class _StubLogicalType: + """Minimal conforming implementation of LogicalType for use in tests.""" + + @property + def logical_type_name(self) -> str: + return "test.module.MyType" + + @property + def python_type(self) -> type: + return str + + def get_arrow_extension_type(self) -> pa.ExtensionType: + return _StubArrowExtClass() + + def get_polars_extension_type(self) -> pl.BaseExtension: + class _StubPL(pl.BaseExtension): + def __init__(self) -> None: + super().__init__("test.module.MyType", pl.String, None) + + @classmethod + def ext_from_params(cls, ext_name, storage_dtype, metadata_str): + return cls() + + return _StubPL() + + def python_to_storage(self, value): + return str(value) + + def storage_to_python(self, storage_value): + return storage_value + + +def test_protocol_is_importable(): + """LogicalType can be imported from extension_types.protocols.""" + assert LogicalType is not None + + +def test_protocol_defines_required_members(): + """A conforming class is recognized as a LogicalType instance.""" + assert isinstance(_StubLogicalType(), LogicalType) + + +def test_conforming_class_satisfies_protocol(): + """A class implementing all required members works correctly via the protocol interface.""" + lt: LogicalType = _StubLogicalType() + assert lt.logical_type_name == "test.module.MyType" + assert lt.python_type is str + assert lt.get_arrow_extension_type().extension_name == "test.module.MyType" + assert isinstance(lt.get_polars_extension_type(), pl.BaseExtension) + assert lt.python_to_storage(42) == "42" + assert lt.storage_to_python("hello") == "hello" +``` + +Note: `make_arrow_extension_type` is imported from `registry.py` — this task depends on Task 3 below having the helper in place before this test file is runnable. Write the file now; run after Task 3. + +--- + +### Task 3: Add `make_arrow_extension_type` and `LogicalTypeRegistry` to `registry.py` + +**Files:** +- Modify: `src/orcapod/extension_types/registry.py` + +- [ ] **Step 1: Overwrite `registry.py` with the new implementation** + +```python +# src/orcapod/extension_types/registry.py +"""Registry for LogicalType instances. + +Registering a logical type automatically registers the corresponding +extension type in both PyArrow's and Polars' global registries. +""" + +from __future__ import annotations + +import re + +import polars as pl +import pyarrow as pa + +from orcapod.extension_types.protocols import LogicalType + + +def _sanitize(name: str) -> str: + """Replace non-alphanumeric characters with underscores. + + Used to produce a valid Python identifier for the dynamically created + ``pa.ExtensionType`` subclass name. + """ + return re.sub(r"[^A-Za-z0-9]", "_", name) + + +def make_arrow_extension_type( + extension_name: str, + storage_type: pa.DataType, + metadata: bytes | None = None, +) -> type[pa.ExtensionType]: + """Synthesise and return a ``pa.ExtensionType`` subclass. + + Returns the *class*, not an instance — callers instantiate it inside their + ``get_arrow_extension_type()`` implementation. Returning the class preserves + the option to create multiple instances or future parameterised variants from + the same class. + + This is a low-level building block. The full pattern for binding a Python + type to a specific Arrow/Polars representation — the extension type factory — + is the responsibility of each ``LogicalType`` implementation. See PLT-1656 + for the built-in implementations (``Path``, ``UPath``, ``UUID``). + + Args: + extension_name: The Arrow extension name (``ARROW:extension:name``). + storage_type: The underlying Arrow storage type. + metadata: Optional bytes stored as ``ARROW:extension:metadata``. + Defaults to ``None`` (serialised as empty bytes). + + Returns: + A ``pa.ExtensionType`` subclass. Call it with no arguments to obtain + an instance suitable for passing to ``pa.register_extension_type`` or + returning from ``get_arrow_extension_type()``. + """ + _name, _storage, _metadata = extension_name, storage_type, metadata or b"" + return type( + f"_ArrowExt_{_sanitize(extension_name)}", + (pa.ExtensionType,), + { + "__init__": lambda self: pa.ExtensionType.__init__(self, _storage, _name), + "__arrow_ext_serialize__": lambda self: _metadata, + # __arrow_ext_deserialize__ reconstructs the type descriptor from schema + # metadata (called once per IPC/Parquet read, not per value). The storage + # type and metadata are baked into the constructor via closure, so + # arguments are intentionally ignored. + "__arrow_ext_deserialize__": classmethod( + lambda cls, storage_type, serialized: cls() + ), + }, + ) + + +class LogicalTypeRegistry: + """Registry for ``LogicalType`` instances. + + Maintains a three-way binding: ``(logical_type_name, arrow_extension_name, + python_type)`` → ``LogicalType``. Each key participates in at most one + binding within a registry instance. + + Registering a logical type side-effect-registers the corresponding extension + type in PyArrow's and Polars' global registries. Pre-existing types (those + already registered externally, e.g. PyArrow's built-in ``"arrow.uuid"``) are + accepted silently — the binding is stored without error. + + The process-global ``default_logical_type_registry`` instance provides + effective process-wide uniqueness for normal use. Thread-safety is deferred. + + Example: + >>> registry = LogicalTypeRegistry() + >>> registry.register(my_logical_type) + >>> lt = registry.get_by_logical_name("uuid.UUID") + """ + + def __init__(self) -> None: + self._by_logical_name: dict[str, LogicalType] = {} + self._by_arrow_name: dict[str, LogicalType] = {} + self._by_python_type: dict[type, LogicalType] = {} + + def register(self, logical_type: LogicalType) -> None: + """Register *logical_type* and its PyArrow/Polars extension types. + + Args: + logical_type: A ``LogicalType`` instance to register. + + Raises: + ValueError: If any of the three keys (``logical_type_name``, + Arrow extension name, ``python_type``) is already bound to a + *different* ``LogicalType`` in this registry. + """ + arrow_ext_name = logical_type.get_arrow_extension_type().extension_name + py_type = logical_type.python_type + logical_name = logical_type.logical_type_name + + existing_by_logical = self._by_logical_name.get(logical_name) + existing_by_arrow = self._by_arrow_name.get(arrow_ext_name) + existing_by_python = self._by_python_type.get(py_type) + + # Triplet conflict check: raise if any key is bound to a different instance. + for existing, label, key in [ + (existing_by_logical, "logical_type_name", logical_name), + (existing_by_arrow, "arrow_extension_name", arrow_ext_name), + (existing_by_python, "python_type", py_type.__qualname__), + ]: + if existing is not None and existing is not logical_type: + raise ValueError( + f"Cannot register logical type '{logical_name}': " + f"{label} {key!r} is already bound to " + f"'{existing.logical_type_name}'." + ) + + # Idempotent check: all three keys already bound to this same instance. + if ( + existing_by_logical is logical_type + and existing_by_arrow is logical_type + and existing_by_python is logical_type + ): + return + + # Register Arrow extension type. ArrowKeyError means the name is already + # in PyArrow's global registry (pre-existing type or another registry + # instance). Accept silently — PLT-1669 adds post-error validation. + try: + pa.register_extension_type(logical_type.get_arrow_extension_type()) + except pa.lib.ArrowKeyError: + pass + + # Register Polars extension type. ValueError means already registered. + polars_ext_class = type(logical_type.get_polars_extension_type()) + try: + pl.register_extension_type(arrow_ext_name, polars_ext_class) + except ValueError: + pass + + # Store three-way binding. + self._by_logical_name[logical_name] = logical_type + self._by_arrow_name[arrow_ext_name] = logical_type + self._by_python_type[py_type] = logical_type + + def get_by_logical_name(self, name: str) -> LogicalType | None: + """Return the logical type registered under *name*, or ``None``.""" + return self._by_logical_name.get(name) + + def get_by_python_type(self, python_type: type) -> LogicalType | None: + """Return the logical type for *python_type*, or ``None``. + + Checks exact match first, then falls back to an ``issubclass`` scan. + When multiple registered types are superclasses of *python_type*, the + one registered first wins (insertion-order dict, Python 3.7+). + """ + lt = self._by_python_type.get(python_type) + if lt is not None: + return lt + for registered_type, lt in self._by_python_type.items(): + if issubclass(python_type, registered_type): + return lt + return None + + def get_by_arrow_extension_name(self, arrow_name: str) -> LogicalType | None: + """Return the logical type registered under *arrow_name*, or ``None``.""" + return self._by_arrow_name.get(arrow_name) +``` + +- [ ] **Step 2: Run protocol tests (both tasks together)** + +```bash +uv run pytest tests/test_extension_types/test_protocols.py -v +``` + +Expected: All 3 tests PASS. + +- [ ] **Step 3: Commit** + +```bash +git add src/orcapod/extension_types/protocols.py \ + src/orcapod/extension_types/registry.py \ + tests/test_extension_types/test_protocols.py +git commit -m "feat(extension_types): add LogicalType protocol and LogicalTypeRegistry (PLT-1668)" +``` + +--- + +### Task 4: Rework `test_registry.py` — stubs + basic tests + +**Files:** +- Modify: `tests/test_extension_types/test_registry.py` + +- [ ] **Step 1: Replace the imports and stub helpers at the top of `test_registry.py`** + +Replace everything from the top of the file through the `_make_stub` function definition (roughly lines 1–65 in the original) with: + +```python +"""Tests for LogicalTypeRegistry.""" + +from __future__ import annotations + +import pathlib +import tempfile +import uuid +import warnings + +import polars as pl +import pyarrow as pa +import pyarrow.parquet as pq +import pytest + +from orcapod.extension_types.protocols import LogicalType +from orcapod.extension_types.registry import LogicalTypeRegistry, make_arrow_extension_type + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- + +def _unique_name() -> str: + """Unique extension/logical name to avoid cross-test global-registry collisions.""" + return f"test.registry.{uuid.uuid4().hex[:8]}" + + +def _make_stub( + logical_name: str | None = None, + arrow_name: str | None = None, + storage: pa.DataType | None = None, + metadata: bytes | None = b"test.category", + py_type: type = str, +) -> LogicalType: + """Factory for minimal LogicalType conforming stubs. + + ``arrow_name`` defaults to ``logical_name`` when omitted. Pass separate + values to test cases that need a distinct Arrow extension name. + """ + _logical_name = logical_name or _unique_name() + _arrow_name = arrow_name or _logical_name + _storage = storage if storage is not None else pa.large_utf8() + _ArrowExt = make_arrow_extension_type(_arrow_name, _storage, metadata) + _pl_storage = pl.from_arrow(pa.array([], type=_storage)).dtype + _meta_str = metadata.decode("utf-8") if metadata else None + + class _StubPL(pl.BaseExtension): + def __init__(self) -> None: + super().__init__(_arrow_name, _pl_storage, _meta_str) + + @classmethod + def ext_from_params(cls, ext_name, storage_dtype, metadata_str): + return cls() + + class _Stub: + @property + def logical_type_name(self) -> str: + return _logical_name + + @property + def python_type(self) -> type: + return py_type + + def get_arrow_extension_type(self) -> pa.ExtensionType: + return _ArrowExt() + + def get_polars_extension_type(self) -> pl.BaseExtension: + return _StubPL() + + def python_to_storage(self, value): + return str(value) + + def storage_to_python(self, storage_value): + return storage_value + + return _Stub() +``` + +- [ ] **Step 2: Replace all basic/lookup/PA/Polars/module-level tests (lines 70–436 in the original) with the updated equivalents** + +Remove all tests that reference removed methods (`has_extension_name`, `has_python_type`, `list_extension_names`, `list_python_types`, `get_converter_for_name`, `get_converter_for_python_type`). Replace with: + +```python +# --------------------------------------------------------------------------- +# Basic registration tests +# --------------------------------------------------------------------------- + +def test_register_stores_three_way_binding(): + """After register(), all three lookup methods return the registered LogicalType.""" + stub = _make_stub() + registry = LogicalTypeRegistry() + registry.register(stub) + + arrow_name = stub.get_arrow_extension_type().extension_name + assert registry.get_by_logical_name(stub.logical_type_name) is stub + assert registry.get_by_arrow_extension_name(arrow_name) is stub + assert registry.get_by_python_type(stub.python_type) is stub + + +def test_get_by_logical_name_miss(): + registry = LogicalTypeRegistry() + assert registry.get_by_logical_name("does.not.exist") is None + + +def test_get_by_python_type_exact(): + registry = LogicalTypeRegistry() + stub = _make_stub(py_type=bytes) + registry.register(stub) + assert registry.get_by_python_type(bytes) is stub + + +def test_get_by_python_type_subclass(): + class _Base: + pass + + class _Child(_Base): + pass + + registry = LogicalTypeRegistry() + stub = _make_stub(py_type=_Base) + registry.register(stub) + assert registry.get_by_python_type(_Child) is stub + + +def test_get_by_python_type_miss(): + registry = LogicalTypeRegistry() + assert registry.get_by_python_type(int) is None + + +def test_get_by_arrow_extension_name_miss(): + registry = LogicalTypeRegistry() + assert registry.get_by_arrow_extension_name("does.not.exist") is None + + +# --------------------------------------------------------------------------- +# Idempotency +# --------------------------------------------------------------------------- + +def test_register_idempotent_same_instance(): + """Registering the same LogicalType object twice is a no-op.""" + stub = _make_stub() + registry = LogicalTypeRegistry() + registry.register(stub) + registry.register(stub) # should not raise + assert registry.get_by_logical_name(stub.logical_type_name) is stub + + +# --------------------------------------------------------------------------- +# Triplet conflict tests +# --------------------------------------------------------------------------- + +def test_triplet_conflict_same_logical_name_raises(): + """Two LogicalTypes sharing logical_type_name -> ValueError.""" + logical_name = _unique_name() + stub1 = _make_stub(logical_name=logical_name, py_type=str) + stub2 = _make_stub(logical_name=logical_name, py_type=int) + + registry = LogicalTypeRegistry() + registry.register(stub1) + with pytest.raises(ValueError, match=logical_name): + registry.register(stub2) + + +def test_triplet_conflict_same_arrow_name_raises(): + """Two LogicalTypes sharing Arrow extension name -> ValueError.""" + shared_arrow_name = _unique_name() + stub1 = _make_stub(arrow_name=shared_arrow_name, py_type=str) + stub2 = _make_stub(arrow_name=shared_arrow_name, py_type=int) + + registry = LogicalTypeRegistry() + registry.register(stub1) + with pytest.raises(ValueError, match=shared_arrow_name): + registry.register(stub2) + + +def test_triplet_conflict_same_python_type_raises(): + """Two LogicalTypes sharing python_type -> ValueError.""" + stub1 = _make_stub(py_type=float) + stub2 = _make_stub(py_type=float) + + registry = LogicalTypeRegistry() + registry.register(stub1) + with pytest.raises(ValueError, match="float"): + registry.register(stub2) + + +# --------------------------------------------------------------------------- +# Pre-existing type tolerance tests +# --------------------------------------------------------------------------- + +def test_register_preexisting_arrow_type_succeeds(): + """ArrowKeyError from PA global registry is accepted silently; binding is stored.""" + name = _unique_name() + + class _ExternalPA(pa.ExtensionType): + def __init__(self) -> None: + pa.ExtensionType.__init__(self, pa.large_utf8(), name) + + def __arrow_ext_serialize__(self): + return b"" + + @classmethod + def __arrow_ext_deserialize__(cls, st, se): + return cls() + + pa.register_extension_type(_ExternalPA()) # pre-register externally + + stub = _make_stub(arrow_name=name) + registry = LogicalTypeRegistry() + registry.register(stub) # must not raise + + assert registry.get_by_logical_name(stub.logical_type_name) is stub + assert registry.get_by_arrow_extension_name(name) is stub + assert registry.get_by_python_type(stub.python_type) is stub + + +def test_register_preexisting_polars_type_succeeds(): + """ValueError from Polars global registry is accepted silently; binding is stored.""" + name = _unique_name() + + # Pre-register in PA first to avoid PA-level conflict + class _ExternalPA(pa.ExtensionType): + def __init__(self) -> None: + pa.ExtensionType.__init__(self, pa.large_utf8(), name) + + def __arrow_ext_serialize__(self): + return b"" + + @classmethod + def __arrow_ext_deserialize__(cls, st, se): + return cls() + + pa.register_extension_type(_ExternalPA()) + + class _ExternalPL(pl.BaseExtension): + def __init__(self) -> None: + super().__init__(name, pl.String, None) + + @classmethod + def ext_from_params(cls, n, s, m): + return cls() + + pl.register_extension_type(name, _ExternalPL) + + stub = _make_stub(arrow_name=name) + registry = LogicalTypeRegistry() + registry.register(stub) # must not raise + + assert registry.get_by_logical_name(stub.logical_type_name) is stub + assert registry.get_by_arrow_extension_name(name) is stub + assert registry.get_by_python_type(stub.python_type) is stub + + +# --------------------------------------------------------------------------- +# PyArrow global registry: our type gets registered +# --------------------------------------------------------------------------- + +def test_register_populates_arrow_global_registry(): + """After register(), PA global registry contains the extension type.""" + stub = _make_stub() + registry = LogicalTypeRegistry() + registry.register(stub) + + arrow_name = stub.get_arrow_extension_type().extension_name + + class _Probe(pa.ExtensionType): + def __init__(self) -> None: + pa.ExtensionType.__init__(self, pa.large_utf8(), arrow_name) + + def __arrow_ext_serialize__(self): + return b"" + + @classmethod + def __arrow_ext_deserialize__(cls, st, se): + return cls() + + with pytest.raises(pa.lib.ArrowKeyError): + pa.register_extension_type(_Probe()) +``` + +- [ ] **Step 3: Run the basic + idempotency + triplet + pre-existing tests** + +```bash +uv run pytest tests/test_extension_types/test_registry.py -v -k "not round_trip and not parquet and not module_instance" +``` + +Expected: All newly written tests PASS. + +- [ ] **Step 4: Commit** + +```bash +git add tests/test_extension_types/test_registry.py +git commit -m "test(extension_types): rework test_registry for LogicalTypeRegistry (PLT-1668)" +``` + +--- + +### Task 5: Update end-to-end tests in `test_registry.py` + +**Files:** +- Modify: `tests/test_extension_types/test_registry.py` + +- [ ] **Step 1: Replace the `_Color`, `_make_color_converter`, `_build_ext_array`, and end-to-end test functions** + +Remove the old `_Color` / `_make_color_converter` / `_build_ext_array` block and the three round-trip tests. Replace with: + +```python +# --------------------------------------------------------------------------- +# End-to-end helpers +# --------------------------------------------------------------------------- + +class _Color: + """Minimal Python class used to exercise the logical type contract end-to-end.""" + + def __init__(self, hex_str: str) -> None: + self.hex_str = hex_str + + def __eq__(self, other: object) -> bool: + return isinstance(other, _Color) and self.hex_str == other.hex_str + + def __repr__(self) -> str: + return f"Color({self.hex_str!r})" + + +def _make_color_logical_type() -> LogicalType: + """LogicalType for _Color, backed by pa.large_utf8() storage.""" + _name = _unique_name() + _ArrowExt = make_arrow_extension_type(_name, pa.large_utf8(), b"test.color") + _pl_storage = pl.from_arrow(pa.array([], type=pa.large_utf8())).dtype + + class _ColorPL(pl.BaseExtension): + def __init__(self) -> None: + super().__init__(_name, _pl_storage, "test.color") + + @classmethod + def ext_from_params(cls, ext_name, storage_dtype, metadata_str): + return cls() + + class _ColorLogicalType: + @property + def logical_type_name(self) -> str: + return _name + + @property + def python_type(self) -> type: + return _Color + + def get_arrow_extension_type(self) -> pa.ExtensionType: + return _ArrowExt() + + def get_polars_extension_type(self) -> pl.BaseExtension: + return _ColorPL() + + def python_to_storage(self, value: _Color) -> str: + return value.hex_str + + def storage_to_python(self, storage_value: str) -> _Color: + return _Color(storage_value) + + return _ColorLogicalType() + + +def _build_ext_array(lt: LogicalType, values: list) -> pa.Array: + """Build a PA extension array from Python values using the logical type.""" + arrow_ext = lt.get_arrow_extension_type() + storage_values = [lt.python_to_storage(v) for v in values] + storage_arr = pa.array(storage_values, type=arrow_ext.storage_type) + return storage_arr.cast(arrow_ext) + + +# --------------------------------------------------------------------------- +# End-to-end integration tests +# --------------------------------------------------------------------------- + +def test_python_class_round_trip(): + """Python objects -> Arrow extension array -> Python objects via logical type methods.""" + lt = _make_color_logical_type() + registry = LogicalTypeRegistry() + registry.register(lt) + + originals = [_Color("#ff0000"), _Color("#00ff00"), _Color("#0000ff")] + ext_arr = _build_ext_array(lt, originals) + + recovered = [lt.storage_to_python(v.as_py()) for v in ext_arr.storage] + assert recovered == originals + + +def test_arrow_polars_round_trip(): + """PA ext array -> pl.from_arrow -> to_arrow() preserves extension type and values.""" + lt = _make_color_logical_type() + registry = LogicalTypeRegistry() + registry.register(lt) + + originals = [_Color("#aabbcc"), _Color("#112233")] + ext_arr = _build_ext_array(lt, originals) + + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + pl_series = pl.from_arrow(ext_arr) + + arrow_name = lt.get_arrow_extension_type().extension_name + assert isinstance(pl_series.dtype, pl.BaseExtension) + assert pl_series.dtype.ext_name() == arrow_name + + arr_back = pl_series.to_arrow() + assert arr_back.type.extension_name == arrow_name + + recovered = [lt.storage_to_python(v.as_py()) for v in arr_back.storage] + assert recovered == originals + + +def test_parquet_round_trip(): + """PA ext array -> Parquet -> read back; extension type and values preserved.""" + lt = _make_color_logical_type() + registry = LogicalTypeRegistry() + registry.register(lt) + + originals = [_Color("#deadbe"), _Color("#cafeba")] + ext_arr = _build_ext_array(lt, originals) + schema = pa.schema([pa.field("color", ext_arr.type), pa.field("id", pa.int32())]) + table = pa.table( + {"color": ext_arr, "id": pa.array([1, 2], type=pa.int32())}, + schema=schema, + ) + + with tempfile.TemporaryDirectory() as tmp: + path = pathlib.Path(tmp) / "test.parquet" + pq.write_table(table, path) + table_back = pq.read_table(path) + + arrow_name = lt.get_arrow_extension_type().extension_name + assert table_back.schema.field("color").type.extension_name == arrow_name + storage_arr = table_back.column("color").combine_chunks().storage + recovered = [lt.storage_to_python(v.as_py()) for v in storage_arr] + assert recovered == originals + + +# --------------------------------------------------------------------------- +# Module-level instance test +# --------------------------------------------------------------------------- + +def test_logical_type_registry_module_instance(): + """extension_types.default_logical_type_registry is a LogicalTypeRegistry, starts empty.""" + from orcapod import extension_types + + assert isinstance(extension_types.default_logical_type_registry, LogicalTypeRegistry) + # PLT-1668 scope: no built-in logical types registered yet (that is PLT-1656). + assert extension_types.default_logical_type_registry.get_by_logical_name("uuid.UUID") is None +``` + +- [ ] **Step 2: Run all registry tests** + +```bash +uv run pytest tests/test_extension_types/test_registry.py -v +``` + +Expected: All tests PASS. + +- [ ] **Step 3: Commit** + +```bash +git add tests/test_extension_types/test_registry.py +git commit -m "test(extension_types): add end-to-end and module-instance tests for LogicalTypeRegistry (PLT-1668)" +``` + +--- + +### Task 6: Update `__init__.py` exports + +**Files:** +- Modify: `src/orcapod/extension_types/__init__.py` + +- [ ] **Step 1: Overwrite `__init__.py`** + +```python +# src/orcapod/extension_types/__init__.py +"""Arrow/Polars extension type system for orcapod. + +This subpackage provides the registry and protocol for logical types that bind +Python classes to their Arrow and Polars extension type representation. + +The module-level ``default_logical_type_registry`` instance is the process default. +Built-in registrations (``Path``, ``UPath``, ``UUID``) are added by PLT-1656. +``DataContext`` wiring is added by PLT-1660. +""" + +from __future__ import annotations + +from .protocols import LogicalType +from .registry import LogicalTypeRegistry, make_arrow_extension_type +from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema + +default_logical_type_registry = LogicalTypeRegistry() + +__all__ = [ + "LogicalType", + "LogicalTypeRegistry", + "make_arrow_extension_type", + "default_logical_type_registry", + # PLT-1654 + "ExtensionTypeInfo", + "walk_schema", + "walk_field", +] +``` + +- [ ] **Step 2: Run the full `test_extension_types` suite** + +```bash +uv run pytest tests/test_extension_types/ -v +``` + +Expected: All tests in `test_protocols.py`, `test_registry.py`, and `test_schema_walker.py` PASS. + +- [ ] **Step 3: Run the complete test suite to catch any regressions** + +```bash +uv run pytest --tb=short -q +``` + +Expected: All tests pass. No references to `ExtensionTypeConverter`, `ExtensionTypeRegistry`, or `default_extension_type_registry` remain outside of the deleted/replaced files. + +- [ ] **Step 4: Commit** + +```bash +git add src/orcapod/extension_types/__init__.py +git commit -m "feat(extension_types): update __init__ exports for LogicalType redesign (PLT-1668)" +``` + +--- + +## Self-Review Checklist + +After completing all tasks, verify: + +- [ ] `LogicalType` has exactly 6 members: `logical_type_name`, `python_type`, `get_arrow_extension_type`, `get_polars_extension_type`, `python_to_storage`, `storage_to_python` +- [ ] `LogicalTypeRegistry` has exactly 3 lookup methods: `get_by_logical_name`, `get_by_python_type`, `get_by_arrow_extension_name` +- [ ] No reference to `ExtensionTypeConverter`, `ExtensionTypeRegistry`, `default_extension_type_registry`, `_ARROW_REGISTRY`, `_POLARS_REGISTRY`, `_register_arrow_ext_type`, or `_register_polars_ext_type` remains anywhere in `src/` or `tests/` +- [ ] `make_arrow_extension_type` returns `type[pa.ExtensionType]` (a class, not an instance) +- [ ] Triplet conflict error messages include the conflicting key name so `pytest.raises(ValueError, match=)` works +- [ ] Pre-existing-type tests pre-register externally then call `registry.register()` — the call must not raise +- [ ] `test_schema_walker.py` still passes unchanged From 8e3c16c3ce3e7194a125691f512090e7a86c1993 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 09:08:07 +0000 Subject: [PATCH 034/206] feat(extension_types): replace ExtensionTypeConverter with LogicalType protocol (PLT-1668) --- src/orcapod/extension_types/protocols.py | 75 +++++++++++++----------- 1 file changed, 40 insertions(+), 35 deletions(-) diff --git a/src/orcapod/extension_types/protocols.py b/src/orcapod/extension_types/protocols.py index e3f6045c..fe2d73d3 100644 --- a/src/orcapod/extension_types/protocols.py +++ b/src/orcapod/extension_types/protocols.py @@ -1,8 +1,7 @@ """Protocol definitions for the Arrow/Polars extension type system. -This module defines ``ExtensionTypeConverter`` — the contract for all -converters that map between Python objects and their Arrow extension type -storage representation. +This module defines ``LogicalType`` — the contract for all implementations +that bind a Python class to its Arrow and Polars extension type representation. Note: This module is part of the parallel-build phase. The old @@ -15,50 +14,56 @@ from typing import TYPE_CHECKING, Any, Protocol, runtime_checkable if TYPE_CHECKING: + import polars as pl import pyarrow as pa @runtime_checkable -class ExtensionTypeConverter(Protocol): - """Protocol for Arrow/Polars extension-type-backed converters. - - Declares the full contract for a converter that maps between Python - objects and their Arrow extension type storage representation. This - protocol is Arrow I/O only — hashing is not a converter responsibility. - - Attributes: - extension_name: Fully-qualified Python class name used as the - ``ARROW:extension:name`` metadata value (e.g. ``"pathlib.Path"``). - Must be unique across all registered converters. By convention - equals the FQCN, but any unique string is valid. - extension_metadata: Category tag encoded as ``ARROW:extension:metadata`` - (e.g. ``b"orcapod.dataclass"``). Used by the registry to locate - the right category handler at read time. May be ``None``. - storage_type: The underlying Arrow ``pa.DataType`` used for physical - storage (e.g. ``pa.large_string()``, ``pa.binary(16)``, - ``pa.struct(...)``). Not used as an identity signal — identity - is determined solely by ``extension_name``. - python_type: The Python class this converter handles. +class LogicalType(Protocol): + """Protocol for Arrow/Polars extension-type-backed logical types. + + A ``LogicalType`` is a three-way binding between a unique logical type name + (orcapod's identifier), a Python class, and Arrow/Polars extension types. + Each implementation *owns* its Arrow and Polars extension types by providing + them directly via ``get_arrow_extension_type`` and ``get_polars_extension_type``. + + This protocol is Arrow I/O only — hashing is not a logical type responsibility. """ @property - def extension_name(self) -> str: - """Fully-qualified Python class name; stored as ``ARROW:extension:name``.""" + def logical_type_name(self) -> str: + """Unique orcapod identifier for this logical type. + + By convention the Python FQCN (e.g. ``"uuid.UUID"``), but any unique + string is valid. Does NOT need to match the Arrow extension type name. + """ ... @property - def extension_metadata(self) -> bytes | None: - """Category tag; stored as ``ARROW:extension:metadata``. May be ``None``.""" + def python_type(self) -> type: + """The Python class this logical type represents.""" ... - @property - def storage_type(self) -> pa.DataType: - """Underlying Arrow storage type. Any ``pa.DataType`` is valid.""" + def get_arrow_extension_type(self) -> pa.ExtensionType: + """Return the Arrow extension type for this logical type. + + ``storage_type``, ``extension_name``, and serialised metadata are + encapsulated inside the returned type; they are no longer top-level + properties on ``LogicalType``. + + For custom types: create and return an instance of a new + ``pa.ExtensionType`` subclass (e.g. via ``make_arrow_extension_type``). + For pre-existing types: return the existing instance directly + (e.g. ``pa.uuid()``). + """ ... - @property - def python_type(self) -> type: - """The Python class this converter handles.""" + def get_polars_extension_type(self) -> pl.BaseExtension: + """Return an instance of the Polars extension type for this logical type. + + The registry calls ``type(instance)`` to obtain the class passed to + ``pl.register_extension_type``. + """ ... def python_to_storage(self, value: Any) -> Any: @@ -69,7 +74,7 @@ def python_to_storage(self, value: Any) -> Any: Returns: A value suitable for use as an Arrow scalar or array element - of type ``storage_type``. + matching the storage type of ``get_arrow_extension_type()``. """ ... @@ -77,7 +82,7 @@ def storage_to_python(self, storage_value: Any) -> Any: """Convert an Arrow storage value back to a Python object. Args: - storage_value: A scalar or array element of type ``storage_type``. + storage_value: A scalar or array element from the Arrow storage array. Returns: A Python object of type ``python_type``. From db5baa14ac25fa1a95a61340994fd440bb3132aa Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 09:11:40 +0000 Subject: [PATCH 035/206] refactor(extension_types): use type[Any] annotation and fix FQCN terminology (PLT-1668) Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/protocols.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/orcapod/extension_types/protocols.py b/src/orcapod/extension_types/protocols.py index fe2d73d3..539f54e5 100644 --- a/src/orcapod/extension_types/protocols.py +++ b/src/orcapod/extension_types/protocols.py @@ -34,13 +34,13 @@ class LogicalType(Protocol): def logical_type_name(self) -> str: """Unique orcapod identifier for this logical type. - By convention the Python FQCN (e.g. ``"uuid.UUID"``), but any unique + By convention the Python fully qualified name (e.g. ``"uuid.UUID"``), but any unique string is valid. Does NOT need to match the Arrow extension type name. """ ... @property - def python_type(self) -> type: + def python_type(self) -> type[Any]: """The Python class this logical type represents.""" ... From e2c15915d21bd660ca89d5bbe69a44a9a3eaf088 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 09:17:15 +0000 Subject: [PATCH 036/206] feat(extension_types): replace ExtensionTypeRegistry with LogicalTypeRegistry (PLT-1668) Remove ExtensionTypeConverter, _ARROW_REGISTRY, _POLARS_REGISTRY, _register_arrow_ext_type, _register_polars_ext_type, and ExtensionTypeRegistry. Add make_arrow_extension_type helper and LogicalTypeRegistry with three-way binding (logical_type_name, arrow_extension_name, python_type). Pre-existing external registrations are now accepted silently. Update __init__.py and rewrite test_protocols.py and test_registry.py for the new LogicalType protocol. --- src/orcapod/extension_types/__init__.py | 23 +- src/orcapod/extension_types/registry.py | 308 ++++++------- tests/test_extension_types/test_protocols.py | 57 +-- tests/test_extension_types/test_registry.py | 449 ++++++++++--------- 4 files changed, 410 insertions(+), 427 deletions(-) diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index 06f66449..3aab78c8 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -1,25 +1,26 @@ """Arrow/Polars extension type system for orcapod. -This subpackage provides the registry and protocol for converters that map -between Python objects and their Arrow extension type storage representation. +This subpackage provides the registry and protocol for logical types that map +between Python objects and their Arrow/Polars extension type representation. -The module-level `default_extension_type_registry` instance is the process default. -Built-in registrations (`Path`, `UPath`, `UUID`) are added by PLT-1656. -`DataContext` wiring is added by PLT-1660. +The module-level ``default_logical_type_registry`` instance is the process default. +Built-in registrations (``Path``, ``UPath``, ``UUID``) are added by PLT-1656. +``DataContext`` wiring is added by PLT-1660. """ from __future__ import annotations -from .protocols import ExtensionTypeConverter -from .registry import ExtensionTypeRegistry +from .protocols import LogicalType +from .registry import LogicalTypeRegistry, make_arrow_extension_type from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema -default_extension_type_registry = ExtensionTypeRegistry() +default_logical_type_registry = LogicalTypeRegistry() __all__ = [ - "ExtensionTypeConverter", - "ExtensionTypeRegistry", - "default_extension_type_registry", + "LogicalType", + "LogicalTypeRegistry", + "make_arrow_extension_type", + "default_logical_type_registry", # PLT-1654 "ExtensionTypeInfo", "walk_schema", diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index b9d5feba..1f1bdcb1 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -1,6 +1,6 @@ -"""Registry for ExtensionTypeConverter instances. +"""Registry for LogicalType instances. -Registering a converter automatically registers the corresponding +Registering a logical type automatically registers the corresponding extension type in both PyArrow's and Polars' global registries. """ @@ -8,218 +8,176 @@ import re -import pyarrow as pa import polars as pl +import pyarrow as pa -from orcapod.extension_types.protocols import ExtensionTypeConverter - -# --------------------------------------------------------------------------- -# Shadow dicts — track what *we* have registered in the global registries. -# These are module-level singletons shared across all ExtensionTypeRegistry -# instances. We use our own dicts rather than querying library internals -# because neither PyArrow nor Polars exposes a stable public API for looking -# up a previously registered extension type by name. -# -# Limitation: types registered externally (directly via -# pa.register_extension_type / pl.register_extension_type, bypassing this -# module) will not appear here. A subsequent register() call for the same -# name will detect the conflict via the library-level error and raise, -# because without knowing what was registered externally we cannot guarantee -# the same extension name maps to the same Python class and underlying -# storage type — silently proceeding risks data corruption or misrouted -# conversions at read time. -# --------------------------------------------------------------------------- - -_ARROW_REGISTRY: dict[str, tuple[pa.DataType, bytes]] = {} -# extension_name -> (storage_type, metadata_bytes) - -_POLARS_REGISTRY: dict[str, tuple[pl.DataType, str | None]] = {} -# extension_name -> (pl_storage_dtype, metadata_str) +from orcapod.extension_types.protocols import LogicalType def _sanitize(name: str) -> str: """Replace non-alphanumeric characters with underscores. - Used to produce a valid Python identifier for the `type()` class-name - argument when creating dynamic `pa.ExtensionType` / `pl.BaseExtension` - subclasses. + Used to produce a valid Python identifier for the dynamically created + ``pa.ExtensionType`` subclass name. """ return re.sub(r"[^A-Za-z0-9]", "_", name) -def _register_arrow_ext_type(converter: ExtensionTypeConverter) -> None: - """Register a `pa.ExtensionType` subclass for *converter* in PyArrow's global registry.""" - name = converter.extension_name - metadata = converter.extension_metadata or b"" - storage = converter.storage_type - - if name in _ARROW_REGISTRY: - existing_storage, existing_metadata = _ARROW_REGISTRY[name] - if existing_storage == storage and existing_metadata == metadata: - return # idempotent — safe for module reload and test-suite reuse - raise ValueError( - f"Extension type '{name}' is already registered in the PyArrow global registry " - f"with different parameters.\n" - f" Registered: storage_type={existing_storage!r}, metadata={existing_metadata!r}\n" - f" Attempted: storage_type={storage!r}, metadata={metadata!r}" - ) - - # Rebind to local names for closure capture: the lambdas below close over - # these variables, not over the function parameters, to make the binding - # explicit and stable across any future refactoring of this function. - _name, _storage, _metadata = name, storage, metadata - ArrowExtType = type( - f"_ArrowExt_{_sanitize(name)}", +def make_arrow_extension_type( + extension_name: str, + storage_type: pa.DataType, + metadata: bytes | None = None, +) -> type[pa.ExtensionType]: + """Synthesise and return a ``pa.ExtensionType`` subclass. + + Returns the *class*, not an instance — callers instantiate it inside their + ``get_arrow_extension_type()`` implementation. Returning the class preserves + the option to create multiple instances or future parameterised variants from + the same class. + + This is a low-level building block. The full pattern for binding a Python + type to a specific Arrow/Polars representation — the extension type factory — + is the responsibility of each ``LogicalType`` implementation. See PLT-1656 + for the built-in implementations (``Path``, ``UPath``, ``UUID``). + + Args: + extension_name: The Arrow extension name (``ARROW:extension:name``). + storage_type: The underlying Arrow storage type. + metadata: Optional bytes stored as ``ARROW:extension:metadata``. + Defaults to ``None`` (serialised as empty bytes). + + Returns: + A ``pa.ExtensionType`` subclass. Call it with no arguments to obtain + an instance suitable for passing to ``pa.register_extension_type`` or + returning from ``get_arrow_extension_type()``. + """ + _name, _storage, _metadata = extension_name, storage_type, metadata or b"" + return type( + f"_ArrowExt_{_sanitize(extension_name)}", (pa.ExtensionType,), { "__init__": lambda self: pa.ExtensionType.__init__(self, _storage, _name), "__arrow_ext_serialize__": lambda self: _metadata, - # __arrow_ext_deserialize__ reconstructs the extension *type descriptor* - # (called once per schema read from IPC/Parquet, not per data value). - # `storage_type` is the Arrow storage DataType; `serialized` is the bytes - # returned by __arrow_ext_serialize__. Both are intentionally ignored here - # because the storage type and metadata are already baked into the class - # constructor via closure — calling cls() is sufficient. + # __arrow_ext_deserialize__ reconstructs the type descriptor from schema + # metadata (called once per IPC/Parquet read, not per value). The storage + # type and metadata are baked into the constructor via closure, so + # arguments are intentionally ignored. "__arrow_ext_deserialize__": classmethod( lambda cls, storage_type, serialized: cls() ), }, ) - try: - pa.register_extension_type(ArrowExtType()) - except pa.lib.ArrowKeyError: - raise ValueError( - f"Extension type '{name}' is already registered in the PyArrow global registry " - f"by an external source. Cannot verify equivalence; orcapod requires exclusive " - f"ownership of extension type registrations to prevent data corruption or " - f"misrouted conversions. See PLT-1665 for future interop support." - ) from None - - _ARROW_REGISTRY[name] = (storage, metadata) - - -def _register_polars_ext_type(converter: ExtensionTypeConverter) -> None: - """Register a `pl.BaseExtension` subclass for *converter* in Polars' global registry.""" - name = converter.extension_name - metadata = converter.extension_metadata - metadata_str = metadata.decode("utf-8") if metadata else None - pl_storage = pl.from_arrow(pa.array([], type=converter.storage_type)).dtype - - if name in _POLARS_REGISTRY: - existing_storage, existing_meta = _POLARS_REGISTRY[name] - if existing_storage == pl_storage and existing_meta == metadata_str: - return # idempotent - raise ValueError( - f"Extension type '{name}' is already registered in the Polars global registry " - f"with different parameters.\n" - f" Registered: storage_dtype={existing_storage!r}, metadata={existing_meta!r}\n" - f" Attempted: storage_dtype={pl_storage!r}, metadata={metadata_str!r}" - ) - - # Rebind to local names for closure capture (see _register_arrow_ext_type for rationale). - _name, _pl_storage, _meta_str = name, pl_storage, metadata_str - PolarsExtType = type( - f"_PolarsExt_{_sanitize(name)}", - (pl.BaseExtension,), - { - "__init__": lambda self: pl.BaseExtension.__init__(self, _name, _pl_storage, _meta_str), - # ext_from_params reconstructs the extension type descriptor from its - # registered name, storage dtype, and metadata string. All three are - # already baked into the constructor via closure, so the arguments are - # intentionally ignored. - "ext_from_params": classmethod(lambda cls, ext_name, storage_dtype, metadata_str: cls()), - }, - ) - - try: - pl.register_extension_type(name, PolarsExtType) - except ValueError: - raise ValueError( - f"Extension type '{name}' is already registered in the Polars global registry " - f"by an external source. Cannot verify equivalence; orcapod requires exclusive " - f"ownership of extension type registrations to prevent data corruption or " - f"misrouted conversions. See PLT-1665 for future interop support." - ) from None - - _POLARS_REGISTRY[name] = (pl_storage, metadata_str) +class LogicalTypeRegistry: + """Registry for ``LogicalType`` instances. -class ExtensionTypeRegistry: - """Registry for `ExtensionTypeConverter` instances. + Maintains a three-way binding: ``(logical_type_name, arrow_extension_name, + python_type)`` → ``LogicalType``. Each key participates in at most one + binding within a registry instance. - Registering a converter automatically registers the corresponding - extension type in both PyArrow's and Polars' global registries. + Registering a logical type side-effect-registers the corresponding extension + type in PyArrow's and Polars' global registries. Pre-existing types (those + already registered externally, e.g. PyArrow's built-in ``"arrow.uuid"``) are + accepted silently — the binding is stored without error. - The primary lookup key is `extension_name`; a secondary lookup by - `python_type` is provided for the write path. + The process-global ``default_logical_type_registry`` instance provides + effective process-wide uniqueness for normal use. Thread-safety is deferred. Example: - >>> registry = ExtensionTypeRegistry() - >>> registry.register(my_converter) - >>> conv = registry.get_converter_for_name("my.Type") + >>> registry = LogicalTypeRegistry() + >>> registry.register(my_logical_type) + >>> lt = registry.get_by_logical_name("uuid.UUID") """ def __init__(self) -> None: - self._by_name: dict[str, ExtensionTypeConverter] = {} - self._by_python_type: dict[type, ExtensionTypeConverter] = {} + self._by_logical_name: dict[str, LogicalType] = {} + self._by_arrow_name: dict[str, LogicalType] = {} + self._by_python_type: dict[type, LogicalType] = {} - def register(self, converter: ExtensionTypeConverter) -> None: - """Register *converter* and its PyArrow/Polars extension types. + def register(self, logical_type: LogicalType) -> None: + """Register *logical_type* and its PyArrow/Polars extension types. Args: - converter: An `ExtensionTypeConverter` instance to register. + logical_type: A ``LogicalType`` instance to register. Raises: - ValueError: If `converter.extension_name` is already registered - in this registry instance. - ValueError: If the extension name is already in the PA or Polars - global registry with different parameters. - ValueError: If the extension name is already in the PA or Polars - global registry from an external source (equivalence cannot - be verified). + ValueError: If any of the three keys (``logical_type_name``, + Arrow extension name, ``python_type``) is already bound to a + *different* ``LogicalType`` in this registry. """ - name = converter.extension_name - if name in self._by_name: - raise ValueError( - f"Extension type '{name}' is already registered in this registry." - ) - self._by_name[name] = converter - self._by_python_type[converter.python_type] = converter - _register_arrow_ext_type(converter) - _register_polars_ext_type(converter) - - def get_converter_for_name(self, name: str) -> ExtensionTypeConverter | None: - """Return the converter registered under *name*, or `None`.""" - return self._by_name.get(name) - - def get_converter_for_python_type(self, python_type: type) -> ExtensionTypeConverter | None: - """Return the converter for *python_type*, or `None`. - - Checks exact match first, then falls back to an `issubclass` scan. + arrow_ext_name = logical_type.get_arrow_extension_type().extension_name + py_type = logical_type.python_type + logical_name = logical_type.logical_type_name + + existing_by_logical = self._by_logical_name.get(logical_name) + existing_by_arrow = self._by_arrow_name.get(arrow_ext_name) + existing_by_python = self._by_python_type.get(py_type) + + # Triplet conflict check: raise if any key is bound to a different instance. + for existing, label, key in [ + (existing_by_logical, "logical_type_name", logical_name), + (existing_by_arrow, "arrow_extension_name", arrow_ext_name), + (existing_by_python, "python_type", py_type.__qualname__), + ]: + if existing is not None and existing is not logical_type: + raise ValueError( + f"Cannot register logical type '{logical_name}': " + f"{label} {key!r} is already bound to " + f"'{existing.logical_type_name}'." + ) + + # Idempotent check: all three keys already bound to this same instance. + if ( + existing_by_logical is logical_type + and existing_by_arrow is logical_type + and existing_by_python is logical_type + ): + return + + # Register Arrow extension type. ArrowKeyError means the name is already + # in PyArrow's global registry (pre-existing type or another registry + # instance). Accept silently — PLT-1669 adds post-error validation. + try: + pa.register_extension_type(logical_type.get_arrow_extension_type()) + except pa.lib.ArrowKeyError: + pass + + # Register Polars extension type. ValueError or ComputeError means already registered. + # Polars raises ValueError via its Python-level guard (_REGISTRY dict check), but + # raises polars.exceptions.ComputeError when the lower-level Rust registry detects + # the duplicate (e.g. when the Polars Python dict was already cleared or bypassed). + # Both errors mean "already registered" — accept silently. + polars_ext_class = type(logical_type.get_polars_extension_type()) + try: + pl.register_extension_type(arrow_ext_name, polars_ext_class) + except (ValueError, pl.exceptions.ComputeError): + pass + + # Store three-way binding. + self._by_logical_name[logical_name] = logical_type + self._by_arrow_name[arrow_ext_name] = logical_type + self._by_python_type[py_type] = logical_type + + def get_by_logical_name(self, name: str) -> LogicalType | None: + """Return the logical type registered under *name*, or ``None``.""" + return self._by_logical_name.get(name) + + def get_by_python_type(self, python_type: type) -> LogicalType | None: + """Return the logical type for *python_type*, or ``None``. + + Checks exact match first, then falls back to an ``issubclass`` scan. When multiple registered types are superclasses of *python_type*, the one registered first wins (insertion-order dict, Python 3.7+). """ - converter = self._by_python_type.get(python_type) - if converter is not None: - return converter - for registered_type, conv in self._by_python_type.items(): + lt = self._by_python_type.get(python_type) + if lt is not None: + return lt + for registered_type, lt in self._by_python_type.items(): if issubclass(python_type, registered_type): - return conv + return lt return None - def has_extension_name(self, name: str) -> bool: - """Return `True` if *name* is registered.""" - return name in self._by_name - - def has_python_type(self, python_type: type) -> bool: - """Return `True` if *python_type* (or a subclass) is registered.""" - return self.get_converter_for_python_type(python_type) is not None - - def list_extension_names(self) -> list[str]: - """Return all registered extension names in insertion order.""" - return list(self._by_name.keys()) - - def list_python_types(self) -> list[type]: - """Return all registered Python types in insertion order.""" - return list(self._by_python_type.keys()) + def get_by_arrow_extension_name(self, arrow_name: str) -> LogicalType | None: + """Return the logical type registered under *arrow_name*, or ``None``.""" + return self._by_arrow_name.get(arrow_name) diff --git a/tests/test_extension_types/test_protocols.py b/tests/test_extension_types/test_protocols.py index 71892fdd..0fdb85dc 100644 --- a/tests/test_extension_types/test_protocols.py +++ b/tests/test_extension_types/test_protocols.py @@ -1,31 +1,39 @@ -"""Tests for ExtensionTypeConverter protocol.""" +"""Tests for LogicalType protocol.""" from __future__ import annotations import pyarrow as pa +import polars as pl -from orcapod.extension_types.protocols import ExtensionTypeConverter +from orcapod.extension_types.protocols import LogicalType +from orcapod.extension_types.registry import make_arrow_extension_type -class _StubConverter: - """Minimal conforming implementation of ExtensionTypeConverter for use in tests.""" +class _StubLogicalType: + """Minimal conforming implementation of LogicalType for use in tests.""" - @property - def extension_name(self) -> str: - return "test.module.MyType" + _ArrowExtClass = make_arrow_extension_type("test.module.MyType", pa.large_string()) @property - def extension_metadata(self) -> bytes | None: - return b"test.category" - - @property - def storage_type(self) -> pa.DataType: - return pa.large_string() + def logical_type_name(self) -> str: + return "test.module.MyType" @property def python_type(self) -> type: return str + def get_arrow_extension_type(self) -> pa.ExtensionType: + return self._ArrowExtClass() + + def get_polars_extension_type(self) -> pl.BaseExtension: + class _PolarsExt(pl.BaseExtension): + def __init__(self): + super().__init__("test.module.MyType", pl.String, None) + @classmethod + def ext_from_params(cls, ext_name, storage_dtype, metadata_str): + return cls() + return _PolarsExt() + def python_to_storage(self, value): return str(value) @@ -34,23 +42,20 @@ def storage_to_python(self, storage_value): def test_protocol_is_importable(): - """ExtensionTypeConverter can be imported from extension_types.protocols.""" - assert ExtensionTypeConverter is not None + """LogicalType can be imported from extension_types.protocols.""" + assert LogicalType is not None def test_protocol_defines_required_members(): - """A conforming class is recognized as an ExtensionTypeConverter instance.""" - assert isinstance(_StubConverter(), ExtensionTypeConverter) + """A conforming class is recognized as a LogicalType instance.""" + assert isinstance(_StubLogicalType(), LogicalType) def test_conforming_class_satisfies_protocol(): """A class implementing all required members works correctly via the protocol interface.""" - converter: ExtensionTypeConverter = _StubConverter() - assert converter.extension_name == "test.module.MyType" - assert converter.extension_metadata == b"test.category" - assert converter.storage_type == pa.large_string() - assert converter.python_type is str - assert converter.python_to_storage(42) == "42" - assert converter.storage_to_python("hello") == "hello" - - + lt: LogicalType = _StubLogicalType() + assert lt.logical_type_name == "test.module.MyType" + assert lt.python_type is str + assert lt.get_arrow_extension_type().extension_name == "test.module.MyType" + assert lt.python_to_storage(42) == "42" + assert lt.storage_to_python("hello") == "hello" diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 679313ab..32f87337 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -1,9 +1,8 @@ -"""Tests for ExtensionTypeRegistry.""" +"""Tests for LogicalTypeRegistry and make_arrow_extension_type.""" from __future__ import annotations import pathlib -import re import tempfile import uuid import warnings @@ -13,8 +12,8 @@ import pyarrow.parquet as pq import pytest -from orcapod.extension_types.protocols import ExtensionTypeConverter -from orcapod.extension_types.registry import ExtensionTypeRegistry +from orcapod.extension_types.protocols import LogicalType +from orcapod.extension_types.registry import LogicalTypeRegistry, make_arrow_extension_type # --------------------------------------------------------------------------- @@ -27,34 +26,45 @@ def _unique_name() -> str: def _make_stub( - name: str | None = None, + arrow_name: str | None = None, + logical_name: str | None = None, storage: pa.DataType | None = None, - metadata: bytes | None = b"test.category", py_type: type = str, -) -> ExtensionTypeConverter: - """Factory for minimal ExtensionTypeConverter conforming stubs.""" - # _name and _storage are rebound to capture default-value computation once; - # metadata and py_type are used directly since they require no transformation. - _name = name or _unique_name() +) -> LogicalType: + """Factory for minimal LogicalType conforming stubs. + + ``arrow_name`` defaults to ``logical_name`` (or a unique name if both are + omitted) so that callers can pass a single name and get consistent arrow + and logical names. + """ + _arrow_name = arrow_name or logical_name or _unique_name() + _logical_name = logical_name or _arrow_name _storage = storage if storage is not None else pa.large_utf8() - class _Stub: - @property - def extension_name(self) -> str: - return _name + ArrowExtClass = make_arrow_extension_type(_arrow_name, _storage) - @property - def extension_metadata(self) -> bytes | None: - return metadata + class _PolarsExt(pl.BaseExtension): + def __init__(self): + super().__init__(_arrow_name, pl.String, None) + @classmethod + def ext_from_params(cls, ext_name, storage_dtype, metadata_str): + return cls() + class _Stub: @property - def storage_type(self) -> pa.DataType: - return _storage + def logical_type_name(self) -> str: + return _logical_name @property def python_type(self) -> type: return py_type + def get_arrow_extension_type(self) -> pa.ExtensionType: + return ArrowExtClass() + + def get_polars_extension_type(self) -> pl.BaseExtension: + return _PolarsExt() + def python_to_storage(self, value): return str(value) @@ -65,86 +75,138 @@ def storage_to_python(self, storage_value): # --------------------------------------------------------------------------- -# Pure-Python registry tests (no PA/Polars global state required) +# make_arrow_extension_type tests # --------------------------------------------------------------------------- -def test_register_stores_converter(): - registry = ExtensionTypeRegistry() - conv = _make_stub() - registry.register(conv) - assert registry.get_converter_for_name(conv.extension_name) is conv +def test_make_arrow_extension_type_returns_class(): + """make_arrow_extension_type returns a pa.ExtensionType subclass.""" + cls = make_arrow_extension_type("test.MakeExt", pa.large_utf8()) + assert issubclass(cls, pa.ExtensionType) -def test_register_duplicate_raises(): - registry = ExtensionTypeRegistry() +def test_make_arrow_extension_type_instance_has_correct_name(): + """Instantiating the returned class yields the correct extension_name.""" name = _unique_name() - registry.register(_make_stub(name=name)) - with pytest.raises(ValueError, match=name): - registry.register(_make_stub(name=name)) + cls = make_arrow_extension_type(name, pa.large_utf8()) + inst = cls() + assert inst.extension_name == name -def test_get_converter_for_name_miss(): - registry = ExtensionTypeRegistry() - assert registry.get_converter_for_name("does.not.exist") is None +def test_make_arrow_extension_type_instance_has_correct_storage(): + """Instantiating the returned class yields the correct storage_type.""" + cls = make_arrow_extension_type(_unique_name(), pa.large_binary()) + inst = cls() + assert inst.storage_type == pa.large_binary() -def test_get_converter_for_python_type_exact(): - registry = ExtensionTypeRegistry() - conv = _make_stub(py_type=bytes) - registry.register(conv) - assert registry.get_converter_for_python_type(bytes) is conv +def test_make_arrow_extension_type_metadata_defaults_to_empty(): + """Without metadata, __arrow_ext_serialize__ returns empty bytes.""" + cls = make_arrow_extension_type(_unique_name(), pa.large_utf8()) + inst = cls() + assert inst.__arrow_ext_serialize__() == b"" -def test_get_converter_for_python_type_subclass(): - class _Base: - pass +def test_make_arrow_extension_type_metadata_roundtrip(): + """With metadata, __arrow_ext_serialize__ returns the provided bytes.""" + meta = b"orcapod.test" + cls = make_arrow_extension_type(_unique_name(), pa.large_utf8(), metadata=meta) + inst = cls() + assert inst.__arrow_ext_serialize__() == meta + + +# --------------------------------------------------------------------------- +# Pure-Python LogicalTypeRegistry tests (no PA/Polars global state required) +# --------------------------------------------------------------------------- + +def test_register_stores_logical_type(): + registry = LogicalTypeRegistry() + lt = _make_stub() + registry.register(lt) + assert registry.get_by_logical_name(lt.logical_type_name) is lt - class _Child(_Base): - pass - registry = ExtensionTypeRegistry() - conv = _make_stub(py_type=_Base) - registry.register(conv) - assert registry.get_converter_for_python_type(_Child) is conv +def test_register_same_instance_twice_is_idempotent(): + """Re-registering the exact same instance does not raise.""" + registry = LogicalTypeRegistry() + lt = _make_stub() + registry.register(lt) + registry.register(lt) # should not raise + assert registry.get_by_logical_name(lt.logical_type_name) is lt -def test_get_converter_for_python_type_miss(): - registry = ExtensionTypeRegistry() - assert registry.get_converter_for_python_type(int) is None +def test_register_conflict_on_logical_name_raises(): + """Two different instances with the same logical_type_name raise ValueError.""" + registry = LogicalTypeRegistry() + name = _unique_name() + lt1 = _make_stub(logical_name=name, py_type=str) + lt2 = _make_stub(logical_name=name, py_type=bytes) + registry.register(lt1) + with pytest.raises(ValueError, match="logical_type_name"): + registry.register(lt2) + + +def test_register_conflict_on_arrow_name_raises(): + """Two different logical types sharing the same Arrow extension name raise ValueError.""" + registry = LogicalTypeRegistry() + arrow_name = _unique_name() + lt1 = _make_stub(arrow_name=arrow_name, logical_name=_unique_name(), py_type=str) + lt2 = _make_stub(arrow_name=arrow_name, logical_name=_unique_name(), py_type=bytes) + registry.register(lt1) + with pytest.raises(ValueError, match="arrow_extension_name"): + registry.register(lt2) + + +def test_register_conflict_on_python_type_raises(): + """Two different logical types sharing the same python_type raise ValueError.""" + registry = LogicalTypeRegistry() + lt1 = _make_stub(py_type=float) + lt2 = _make_stub(py_type=float) + registry.register(lt1) + with pytest.raises(ValueError, match="python_type"): + registry.register(lt2) -def test_has_extension_name(): - registry = ExtensionTypeRegistry() - conv = _make_stub() - assert not registry.has_extension_name(conv.extension_name) - registry.register(conv) - assert registry.has_extension_name(conv.extension_name) +def test_get_by_logical_name_miss(): + registry = LogicalTypeRegistry() + assert registry.get_by_logical_name("does.not.exist") is None -def test_has_python_type(): - registry = ExtensionTypeRegistry() - conv = _make_stub(py_type=float) - assert not registry.has_python_type(float) - registry.register(conv) - assert registry.has_python_type(float) +def test_get_by_python_type_exact(): + registry = LogicalTypeRegistry() + lt = _make_stub(py_type=bytes) + registry.register(lt) + assert registry.get_by_python_type(bytes) is lt -def test_list_extension_names(): - registry = ExtensionTypeRegistry() - a = _make_stub() - b = _make_stub() - registry.register(a) - registry.register(b) - assert registry.list_extension_names() == [a.extension_name, b.extension_name] +def test_get_by_python_type_subclass(): + class _Base: + pass + + class _Child(_Base): + pass + registry = LogicalTypeRegistry() + lt = _make_stub(py_type=_Base) + registry.register(lt) + assert registry.get_by_python_type(_Child) is lt -def test_list_python_types(): - registry = ExtensionTypeRegistry() - a = _make_stub(py_type=bytes) - b = _make_stub(py_type=float) - registry.register(a) - registry.register(b) - assert registry.list_python_types() == [bytes, float] + +def test_get_by_python_type_miss(): + registry = LogicalTypeRegistry() + assert registry.get_by_python_type(int) is None + + +def test_get_by_arrow_extension_name(): + registry = LogicalTypeRegistry() + arrow_name = _unique_name() + lt = _make_stub(arrow_name=arrow_name) + registry.register(lt) + assert registry.get_by_arrow_extension_name(arrow_name) is lt + + +def test_get_by_arrow_extension_name_miss(): + registry = LogicalTypeRegistry() + assert registry.get_by_arrow_extension_name("does.not.exist") is None # --------------------------------------------------------------------------- @@ -153,15 +215,17 @@ def test_list_python_types(): def test_register_populates_arrow_registry(): """After register(), PA global registry contains the extension type.""" - conv = _make_stub() - registry = ExtensionTypeRegistry() - registry.register(conv) + lt = _make_stub() + registry = LogicalTypeRegistry() + registry.register(lt) + + arrow_ext_name = lt.get_arrow_extension_type().extension_name # If the name is registered, attempting to re-register it raises ArrowKeyError. # This is the only stable public signal PyArrow provides. class _Probe(pa.ExtensionType): def __init__(self): - pa.ExtensionType.__init__(self, pa.large_utf8(), conv.extension_name) + pa.ExtensionType.__init__(self, pa.large_utf8(), arrow_ext_name) def __arrow_ext_serialize__(self): return b"" @classmethod @@ -172,35 +236,8 @@ def __arrow_ext_deserialize__(cls, st, se): pa.register_extension_type(_Probe()) -def test_register_arrow_global_collision_same_params_is_idempotent(): - """A second registry instance registering the same name+params succeeds silently.""" - name = _unique_name() - conv = _make_stub(name=name, storage=pa.large_utf8(), metadata=b"cat") - - ExtensionTypeRegistry().register(conv) # first — populates _ARROW_REGISTRY - ExtensionTypeRegistry().register(conv) # second — should not raise - - -def test_register_arrow_global_collision_different_storage_raises(): - """A second registry using the same name but different storage_type raises.""" - name = _unique_name() - ExtensionTypeRegistry().register(_make_stub(name=name, storage=pa.large_utf8())) - - with pytest.raises(ValueError, match=name): - ExtensionTypeRegistry().register(_make_stub(name=name, storage=pa.large_binary())) - - -def test_register_arrow_global_collision_different_metadata_raises(): - """A second registry using the same name but different metadata raises.""" - name = _unique_name() - ExtensionTypeRegistry().register(_make_stub(name=name, metadata=b"original")) - - with pytest.raises(ValueError, match=name): - ExtensionTypeRegistry().register(_make_stub(name=name, metadata=b"different")) - - -def test_register_arrow_external_registration_raises(): - """A name registered directly with PyArrow (bypassing our registry) raises on register().""" +def test_register_arrow_preexisting_external_accepted_silently(): + """A name already registered externally in PyArrow is accepted silently (no raise).""" name = _unique_name() class _External(pa.ExtensionType): @@ -214,8 +251,20 @@ def __arrow_ext_deserialize__(cls, st, se): pa.register_extension_type(_External()) # bypass our registry - with pytest.raises(ValueError, match="external source"): - ExtensionTypeRegistry().register(_make_stub(name=name)) + # New semantics: pre-existing registrations are accepted silently. + lt = _make_stub(arrow_name=name) + registry = LogicalTypeRegistry() + registry.register(lt) # should NOT raise + assert registry.get_by_logical_name(lt.logical_type_name) is lt + + +def test_register_same_instance_two_registries(): + """The same LogicalType instance can be registered in two different registry instances.""" + lt = _make_stub() + r1 = LogicalTypeRegistry() + r2 = LogicalTypeRegistry() + r1.register(lt) + r2.register(lt) # should not raise (same instance, PA/Polars accept silently) # --------------------------------------------------------------------------- @@ -223,47 +272,27 @@ def __arrow_ext_deserialize__(cls, st, se): # --------------------------------------------------------------------------- def test_register_populates_polars_registry(): - """After register(), _POLARS_REGISTRY shadow dict contains the extension type.""" - conv = _make_stub(storage=pa.large_utf8()) - registry = ExtensionTypeRegistry() - registry.register(conv) - - from orcapod.extension_types.registry import _POLARS_REGISTRY - assert conv.extension_name in _POLARS_REGISTRY - stored_storage, stored_meta = _POLARS_REGISTRY[conv.extension_name] - assert stored_storage == pl.String - assert stored_meta == "test.category" - - -def test_register_polars_global_collision_same_params_is_idempotent(): - """A second registry instance registering the same name+params succeeds silently.""" - name = _unique_name() - conv = _make_stub(name=name, storage=pa.large_utf8(), metadata=b"cat") - - ExtensionTypeRegistry().register(conv) - ExtensionTypeRegistry().register(conv) # should not raise - - -def test_register_polars_global_collision_different_storage_raises(): - """A second registry using the same name but different storage_type raises.""" - name = _unique_name() - ExtensionTypeRegistry().register(_make_stub(name=name, storage=pa.large_utf8())) + """After register(), Polars knows the extension type.""" + arrow_name = _unique_name() + lt = _make_stub(arrow_name=arrow_name) + registry = LogicalTypeRegistry() + registry.register(lt) - with pytest.raises(ValueError, match=name): - ExtensionTypeRegistry().register(_make_stub(name=name, storage=pa.large_binary())) + # Verify by attempting to create a Polars series from a PA extension array. + ArrowExtClass = make_arrow_extension_type(arrow_name, pa.large_utf8()) + storage_arr = pa.array(["a", "b"], type=pa.large_utf8()) + ext_arr = storage_arr.cast(ArrowExtClass()) + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + pl_series = pl.from_arrow(ext_arr) -def test_register_polars_global_collision_different_metadata_raises(): - """A second registry using the same name but different metadata raises.""" - name = _unique_name() - ExtensionTypeRegistry().register(_make_stub(name=name, metadata=b"original")) - - with pytest.raises(ValueError, match=name): - ExtensionTypeRegistry().register(_make_stub(name=name, metadata=b"different")) + assert isinstance(pl_series.dtype, pl.BaseExtension) + assert pl_series.dtype.ext_name() == arrow_name -def test_register_polars_external_registration_raises(): - """A name registered directly with Polars (bypassing our registry) raises on register().""" +def test_register_polars_preexisting_external_accepted_silently(): + """A name already registered externally in Polars is accepted silently.""" name = _unique_name() class _ExternalPL(pl.BaseExtension): @@ -273,7 +302,6 @@ def __init__(self): def ext_from_params(cls, n, s, m): return cls() - # Also register in PA first so we don't hit the PA external-registration error class _ExternalPA(pa.ExtensionType): def __init__(self): pa.ExtensionType.__init__(self, pa.large_utf8(), name) @@ -286,8 +314,10 @@ def __arrow_ext_deserialize__(cls, st, se): pa.register_extension_type(_ExternalPA()) pl.register_extension_type(name, _ExternalPL) - with pytest.raises(ValueError, match="external source"): - ExtensionTypeRegistry().register(_make_stub(name=name)) + lt = _make_stub(arrow_name=name) + registry = LogicalTypeRegistry() + registry.register(lt) # should NOT raise + assert registry.get_by_logical_name(lt.logical_type_name) is lt # --------------------------------------------------------------------------- @@ -296,7 +326,7 @@ def __arrow_ext_deserialize__(cls, st, se): class _Color: - """Minimal Python class used to exercise the converter contract end-to-end.""" + """Minimal Python class used to exercise the LogicalType contract end-to-end.""" def __init__(self, hex_str: str) -> None: self.hex_str = hex_str def __eq__(self, other: object) -> bool: @@ -305,106 +335,99 @@ def __repr__(self) -> str: return f"Color({self.hex_str!r})" -def _make_color_converter() -> ExtensionTypeConverter: - """ExtensionTypeConverter for _Color, backed by pa.large_utf8() storage.""" +def _make_color_logical_type() -> LogicalType: + """LogicalType for _Color, backed by pa.large_utf8() storage.""" _name = _unique_name() + _ArrowExtClass = make_arrow_extension_type(_name, pa.large_utf8(), metadata=b"test.color") + + class _PolarsExt(pl.BaseExtension): + def __init__(self): + super().__init__(_name, pl.String, "test.color") + @classmethod + def ext_from_params(cls, ext_name, storage_dtype, metadata_str): + return cls() - class _ColorConverter: + class _ColorLogicalType: @property - def extension_name(self) -> str: + def logical_type_name(self) -> str: return _name - @property - def extension_metadata(self) -> bytes | None: - return b"test.color" - @property - def storage_type(self) -> pa.DataType: - return pa.large_utf8() + @property def python_type(self) -> type: return _Color + + def get_arrow_extension_type(self) -> pa.ExtensionType: + return _ArrowExtClass() + + def get_polars_extension_type(self) -> pl.BaseExtension: + return _PolarsExt() + def python_to_storage(self, value: _Color) -> str: return value.hex_str + def storage_to_python(self, storage_value: str) -> _Color: return _Color(storage_value) - return _ColorConverter() + return _ColorLogicalType() def _build_ext_array( - converter: ExtensionTypeConverter, + lt: LogicalType, values: list, ) -> pa.Array: - """Build a PA extension array from Python values using the converter.""" - storage_values = [converter.python_to_storage(v) for v in values] - storage_arr = pa.array(storage_values, type=converter.storage_type) - - _name = converter.extension_name - _storage = converter.storage_type - _metadata = converter.extension_metadata or b"" - _sanitized = re.sub(r"[^A-Za-z0-9]", "_", _name) - - ArrowExtType = type( - f"_ArrowExt_{_sanitized}_probe", - (pa.ExtensionType,), - { - "__init__": lambda self: pa.ExtensionType.__init__(self, _storage, _name), - "__arrow_ext_serialize__": lambda self: _metadata, - "__arrow_ext_deserialize__": classmethod(lambda cls, st, se: cls()), - }, - ) - ext_type_instance = ArrowExtType() - return storage_arr.cast(ext_type_instance) + """Build a PA extension array from Python values using the logical type.""" + storage_values = [lt.python_to_storage(v) for v in values] + arrow_ext = lt.get_arrow_extension_type() + storage_arr = pa.array(storage_values, type=arrow_ext.storage_type) + return storage_arr.cast(arrow_ext) def test_python_class_round_trip(): - """Python objects -> Arrow extension array -> Python objects via converter methods.""" - conv = _make_color_converter() - registry = ExtensionTypeRegistry() - registry.register(conv) + """Python objects -> Arrow extension array -> Python objects via logical type methods.""" + lt = _make_color_logical_type() + registry = LogicalTypeRegistry() + registry.register(lt) originals = [_Color("#ff0000"), _Color("#00ff00"), _Color("#0000ff")] - ext_arr = _build_ext_array(conv, originals) + ext_arr = _build_ext_array(lt, originals) - # .storage accesses the underlying storage array directly — the idiomatic - # PyArrow API for extension arrays. Note: __arrow_ext_serialize__/ - # __arrow_ext_deserialize__ are for type-descriptor (schema) serialization, - # not for per-value data conversion; data lives in the storage array. - recovered = [conv.storage_to_python(v.as_py()) for v in ext_arr.storage] + recovered = [lt.storage_to_python(v.as_py()) for v in ext_arr.storage] assert recovered == originals def test_arrow_polars_round_trip(): """PA ext array -> pl.from_arrow -> to_arrow() preserves extension type and values.""" - conv = _make_color_converter() - registry = ExtensionTypeRegistry() - registry.register(conv) + lt = _make_color_logical_type() + registry = LogicalTypeRegistry() + registry.register(lt) originals = [_Color("#aabbcc"), _Color("#112233")] - ext_arr = _build_ext_array(conv, originals) + ext_arr = _build_ext_array(lt, originals) with warnings.catch_warnings(): warnings.simplefilter("ignore") pl_series = pl.from_arrow(ext_arr) assert isinstance(pl_series.dtype, pl.BaseExtension) - assert pl_series.dtype.ext_name() == conv.extension_name + assert pl_series.dtype.ext_name() == lt.get_arrow_extension_type().extension_name arr_back = pl_series.to_arrow() - assert arr_back.type.extension_name == conv.extension_name + assert arr_back.type.extension_name == lt.get_arrow_extension_type().extension_name - recovered = [conv.storage_to_python(v.as_py()) for v in arr_back.storage] + recovered = [lt.storage_to_python(v.as_py()) for v in arr_back.storage] assert recovered == originals def test_parquet_round_trip(): """PA ext array -> Parquet -> read back via PyArrow; extension type and values preserved.""" - conv = _make_color_converter() - registry = ExtensionTypeRegistry() - registry.register(conv) + lt = _make_color_logical_type() + registry = LogicalTypeRegistry() + registry.register(lt) originals = [_Color("#deadbe"), _Color("#cafeba")] - ext_arr = _build_ext_array(conv, originals) - schema = pa.schema([pa.field("color", ext_arr.type), pa.field("id", pa.int32())]) + ext_arr = _build_ext_array(lt, originals) + arrow_ext = lt.get_arrow_extension_type() + schema = pa.schema([pa.field("color", arrow_ext), pa.field("id", pa.int32())]) table = pa.table( {"color": ext_arr, "id": pa.array([1, 2], type=pa.int32())}, schema=schema, @@ -415,11 +438,9 @@ def test_parquet_round_trip(): pq.write_table(table, path) table_back = pq.read_table(path) - assert table_back.schema.field("color").type.extension_name == conv.extension_name - # ChunkedArray.combine_chunks() gives a single ExtensionArray; .storage then - # accesses the underlying storage array without needing an explicit cast. + assert table_back.schema.field("color").type.extension_name == arrow_ext.extension_name storage_arr = table_back.column("color").combine_chunks().storage - recovered = [conv.storage_to_python(v.as_py()) for v in storage_arr] + recovered = [lt.storage_to_python(v.as_py()) for v in storage_arr] assert recovered == originals @@ -427,9 +448,7 @@ def test_parquet_round_trip(): # Module-level instance test # --------------------------------------------------------------------------- -def test_extension_type_registry_module_instance(): - """extension_types.default_extension_type_registry is an ExtensionTypeRegistry, starts empty.""" +def test_logical_type_registry_module_instance(): + """extension_types.default_logical_type_registry is a LogicalTypeRegistry.""" from orcapod import extension_types - assert isinstance(extension_types.default_extension_type_registry, ExtensionTypeRegistry) - # PLT-1653 scope: no built-in converters registered yet (that is PLT-1656) - assert extension_types.default_extension_type_registry.list_extension_names() == [] + assert isinstance(extension_types.default_logical_type_registry, LogicalTypeRegistry) From c906732c15a5ae104dd5140196cc4f1778807f38 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 09:20:08 +0000 Subject: [PATCH 037/206] test(extension_types): assert get_polars_extension_type in protocol conformance test (PLT-1668) --- tests/test_extension_types/test_protocols.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/test_extension_types/test_protocols.py b/tests/test_extension_types/test_protocols.py index 0fdb85dc..c4763885 100644 --- a/tests/test_extension_types/test_protocols.py +++ b/tests/test_extension_types/test_protocols.py @@ -57,5 +57,6 @@ def test_conforming_class_satisfies_protocol(): assert lt.logical_type_name == "test.module.MyType" assert lt.python_type is str assert lt.get_arrow_extension_type().extension_name == "test.module.MyType" + assert isinstance(lt.get_polars_extension_type(), pl.BaseExtension) assert lt.python_to_storage(42) == "42" assert lt.storage_to_python("hello") == "hello" From 2d5ec8d35bfa591a82351fb6e2669257f1947b3d Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 09:23:27 +0000 Subject: [PATCH 038/206] refactor(extension_types): fix variable shadowing, issubclass guard, stub Polars dtype (PLT-1668) Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/registry.py | 15 +++++++++------ tests/test_extension_types/test_registry.py | 12 ++++++++++-- 2 files changed, 19 insertions(+), 8 deletions(-) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 1f1bdcb1..76ee784f 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -170,12 +170,15 @@ def get_by_python_type(self, python_type: type) -> LogicalType | None: When multiple registered types are superclasses of *python_type*, the one registered first wins (insertion-order dict, Python 3.7+). """ - lt = self._by_python_type.get(python_type) - if lt is not None: - return lt - for registered_type, lt in self._by_python_type.items(): - if issubclass(python_type, registered_type): - return lt + result = self._by_python_type.get(python_type) + if result is not None: + return result + for registered_type, registered_lt in self._by_python_type.items(): + try: + if issubclass(python_type, registered_type): + return registered_lt + except TypeError: + continue return None def get_by_arrow_extension_name(self, arrow_name: str) -> LogicalType | None: diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 32f87337..3ef99051 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -43,9 +43,11 @@ def _make_stub( ArrowExtClass = make_arrow_extension_type(_arrow_name, _storage) + _pl_storage = pl.from_arrow(pa.array([], type=_storage)).dtype + class _PolarsExt(pl.BaseExtension): def __init__(self): - super().__init__(_arrow_name, pl.String, None) + super().__init__(_arrow_name, _pl_storage, None) @classmethod def ext_from_params(cls, ext_name, storage_dtype, metadata_str): return cls() @@ -265,6 +267,7 @@ def test_register_same_instance_two_registries(): r2 = LogicalTypeRegistry() r1.register(lt) r2.register(lt) # should not raise (same instance, PA/Polars accept silently) + assert r2.get_by_logical_name(lt.logical_type_name) is lt # --------------------------------------------------------------------------- @@ -375,7 +378,12 @@ def _build_ext_array( lt: LogicalType, values: list, ) -> pa.Array: - """Build a PA extension array from Python values using the logical type.""" + """Build a PA extension array from Python values using the logical type. + + The logical type's Arrow extension type must already be registered in + PyArrow's global registry (i.e. ``registry.register(lt)`` must have been + called) before this helper is used. + """ storage_values = [lt.python_to_storage(v) for v in values] arrow_ext = lt.get_arrow_extension_type() storage_arr = pa.array(storage_values, type=arrow_ext.storage_type) From 12ad77a72ff8a92208d29c6b912b0e8b297d4139 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 18:04:12 +0000 Subject: [PATCH 039/206] =?UTF-8?q?refactor(extension=5Ftypes):=20address?= =?UTF-8?q?=20PR=20review=20=E2=80=94=20cache=20ext=20instances,=20fix=20t?= =?UTF-8?q?est=20comment,=20add=20default=20registry=20tests=20(PLT-1668)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Cache arrow_ext and polars_ext in LogicalTypeRegistry.register() so get_arrow_extension_type() and get_polars_extension_type() are each called exactly once per register() invocation - Fix test_register_populates_arrow_registry to re-register via lt.get_arrow_extension_type() rather than a synthesised _Probe class - Update misleading section header: tests always use fresh LogicalTypeRegistry() instances, not default_logical_type_registry; global PA/Polars registration is intentional - Add 5 dedicated tests for default_logical_type_registry: singleton identity, register+lookup, idempotency, Arrow global side-effect, Polars global side-effect; each uses a unique py_type class to avoid process-global collision Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/registry.py | 8 +- tests/test_extension_types/test_registry.py | 100 ++++++++++++++++---- 2 files changed, 89 insertions(+), 19 deletions(-) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 76ee784f..7a14aad9 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -106,7 +106,8 @@ def register(self, logical_type: LogicalType) -> None: Arrow extension name, ``python_type``) is already bound to a *different* ``LogicalType`` in this registry. """ - arrow_ext_name = logical_type.get_arrow_extension_type().extension_name + arrow_ext = logical_type.get_arrow_extension_type() + arrow_ext_name = arrow_ext.extension_name py_type = logical_type.python_type logical_name = logical_type.logical_type_name @@ -139,7 +140,7 @@ def register(self, logical_type: LogicalType) -> None: # in PyArrow's global registry (pre-existing type or another registry # instance). Accept silently — PLT-1669 adds post-error validation. try: - pa.register_extension_type(logical_type.get_arrow_extension_type()) + pa.register_extension_type(arrow_ext) except pa.lib.ArrowKeyError: pass @@ -148,7 +149,8 @@ def register(self, logical_type: LogicalType) -> None: # raises polars.exceptions.ComputeError when the lower-level Rust registry detects # the duplicate (e.g. when the Polars Python dict was already cleared or bypassed). # Both errors mean "already registered" — accept silently. - polars_ext_class = type(logical_type.get_polars_extension_type()) + polars_ext = logical_type.get_polars_extension_type() + polars_ext_class = type(polars_ext) try: pl.register_extension_type(arrow_ext_name, polars_ext_class) except (ValueError, pl.exceptions.ComputeError): diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 3ef99051..10f387ab 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -117,7 +117,10 @@ def test_make_arrow_extension_type_metadata_roundtrip(): # --------------------------------------------------------------------------- -# Pure-Python LogicalTypeRegistry tests (no PA/Polars global state required) +# LogicalTypeRegistry unit tests +# Each test uses a fresh LogicalTypeRegistry() instance (not the module-level +# default_logical_type_registry). Registering does touch the global PA/Polars +# registries, but unique extension names (via _unique_name()) prevent collisions. # --------------------------------------------------------------------------- def test_register_stores_logical_type(): @@ -221,21 +224,10 @@ def test_register_populates_arrow_registry(): registry = LogicalTypeRegistry() registry.register(lt) - arrow_ext_name = lt.get_arrow_extension_type().extension_name - - # If the name is registered, attempting to re-register it raises ArrowKeyError. - # This is the only stable public signal PyArrow provides. - class _Probe(pa.ExtensionType): - def __init__(self): - pa.ExtensionType.__init__(self, pa.large_utf8(), arrow_ext_name) - def __arrow_ext_serialize__(self): - return b"" - @classmethod - def __arrow_ext_deserialize__(cls, st, se): - return cls() - + # If the name is registered, attempting to re-register the same type raises + # ArrowKeyError. This is the only stable public signal PyArrow provides. with pytest.raises(pa.lib.ArrowKeyError): - pa.register_extension_type(_Probe()) + pa.register_extension_type(lt.get_arrow_extension_type()) def test_register_arrow_preexisting_external_accepted_silently(): @@ -453,10 +445,86 @@ def test_parquet_round_trip(): # --------------------------------------------------------------------------- -# Module-level instance test +# default_logical_type_registry tests # --------------------------------------------------------------------------- def test_logical_type_registry_module_instance(): """extension_types.default_logical_type_registry is a LogicalTypeRegistry.""" from orcapod import extension_types assert isinstance(extension_types.default_logical_type_registry, LogicalTypeRegistry) + + +def test_default_registry_is_same_object_across_imports(): + """default_logical_type_registry is the same object regardless of import path.""" + from orcapod import extension_types + from orcapod.extension_types import default_logical_type_registry + assert extension_types.default_logical_type_registry is default_logical_type_registry + + +def test_default_registry_register_and_lookup(): + """Registering into default_logical_type_registry makes the type retrievable.""" + from orcapod.extension_types import default_logical_type_registry + + class _LookupTarget: + pass + + lt = _make_stub(py_type=_LookupTarget) + default_logical_type_registry.register(lt) + + assert default_logical_type_registry.get_by_logical_name(lt.logical_type_name) is lt + assert default_logical_type_registry.get_by_python_type(lt.python_type) is lt + assert ( + default_logical_type_registry.get_by_arrow_extension_name( + lt.get_arrow_extension_type().extension_name + ) + is lt + ) + + +def test_default_registry_register_idempotent(): + """Re-registering the same instance into default_logical_type_registry does not raise.""" + from orcapod.extension_types import default_logical_type_registry + + class _IdempotentTarget: + pass + + lt = _make_stub(py_type=_IdempotentTarget) + default_logical_type_registry.register(lt) + default_logical_type_registry.register(lt) # should not raise + assert default_logical_type_registry.get_by_logical_name(lt.logical_type_name) is lt + + +def test_default_registry_populates_arrow_global(): + """Registering into default_logical_type_registry puts the Arrow ext name in PA's global registry.""" + from orcapod.extension_types import default_logical_type_registry + + class _ArrowTarget: + pass + + lt = _make_stub(py_type=_ArrowTarget) + default_logical_type_registry.register(lt) + + with pytest.raises(pa.lib.ArrowKeyError): + pa.register_extension_type(lt.get_arrow_extension_type()) + + +def test_default_registry_populates_polars_global(): + """Registering into default_logical_type_registry makes Polars recognise the extension type.""" + from orcapod.extension_types import default_logical_type_registry + + class _PolarsTarget: + pass + + arrow_name = _unique_name() + lt = _make_stub(arrow_name=arrow_name, py_type=_PolarsTarget) + default_logical_type_registry.register(lt) + + storage_arr = pa.array(["x", "y"], type=pa.large_utf8()) + ext_arr = storage_arr.cast(lt.get_arrow_extension_type()) + + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + pl_series = pl.from_arrow(ext_arr) + + assert isinstance(pl_series.dtype, pl.BaseExtension) + assert pl_series.dtype.ext_name() == arrow_name From 882c9f9e3220b290637cd5968372233f1bd83033 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 19:14:18 +0000 Subject: [PATCH 040/206] fix(extension_types): validate storage_type/metadata in __arrow_ext_deserialize__; fix test and docstring (PLT-1668) - make_arrow_extension_type: replace no-op lambda in __arrow_ext_deserialize__ with a validating inner function that raises ValueError when the incoming storage_type or serialized metadata differs from the expected values, preventing silent misrouted deserialization on schema/metadata mismatch - test_register_populates_polars_registry: use lt.get_arrow_extension_type() directly instead of re-synthesising an Arrow class with a hardcoded storage type - _build_ext_array docstring: clarify that global registration is not required for cast(); it is only needed for IPC/Parquet deserialization Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/registry.py | 27 +++++++++++++++------ tests/test_extension_types/test_registry.py | 13 +++++----- 2 files changed, 27 insertions(+), 13 deletions(-) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 7a14aad9..3ed1d516 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -52,19 +52,32 @@ def make_arrow_extension_type( returning from ``get_arrow_extension_type()``. """ _name, _storage, _metadata = extension_name, storage_type, metadata or b"" + + def _deserialize(cls, storage_type: pa.DataType, serialized: bytes) -> pa.ExtensionType: + # __arrow_ext_deserialize__ reconstructs the type descriptor from schema + # metadata (called once per IPC/Parquet read, not per value). Validate the + # incoming storage_type and serialized bytes against the expected values so + # that reading a file where the same extension name was written with different + # parameters raises immediately rather than silently producing wrong data. + if storage_type != _storage: + raise ValueError( + f"Arrow extension type '{_name}': expected storage_type " + f"{_storage!r} but got {storage_type!r}." + ) + if serialized != _metadata: + raise ValueError( + f"Arrow extension type '{_name}': expected metadata " + f"{_metadata!r} but got {serialized!r}." + ) + return cls() + return type( f"_ArrowExt_{_sanitize(extension_name)}", (pa.ExtensionType,), { "__init__": lambda self: pa.ExtensionType.__init__(self, _storage, _name), "__arrow_ext_serialize__": lambda self: _metadata, - # __arrow_ext_deserialize__ reconstructs the type descriptor from schema - # metadata (called once per IPC/Parquet read, not per value). The storage - # type and metadata are baked into the constructor via closure, so - # arguments are intentionally ignored. - "__arrow_ext_deserialize__": classmethod( - lambda cls, storage_type, serialized: cls() - ), + "__arrow_ext_deserialize__": classmethod(_deserialize), }, ) diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 10f387ab..060b5e87 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -274,9 +274,9 @@ def test_register_populates_polars_registry(): registry.register(lt) # Verify by attempting to create a Polars series from a PA extension array. - ArrowExtClass = make_arrow_extension_type(arrow_name, pa.large_utf8()) - storage_arr = pa.array(["a", "b"], type=pa.large_utf8()) - ext_arr = storage_arr.cast(ArrowExtClass()) + ext_type = lt.get_arrow_extension_type() + storage_arr = pa.array(["a", "b"], type=ext_type.storage_type) + ext_arr = storage_arr.cast(ext_type) with warnings.catch_warnings(): warnings.simplefilter("ignore") @@ -372,9 +372,10 @@ def _build_ext_array( ) -> pa.Array: """Build a PA extension array from Python values using the logical type. - The logical type's Arrow extension type must already be registered in - PyArrow's global registry (i.e. ``registry.register(lt)`` must have been - called) before this helper is used. + Global registration (via ``registry.register(lt)``) is NOT required for + this helper — ``cast()`` works with any ``pa.ExtensionType`` instance. + Registration is only needed for IPC/Parquet *deserialization*, where Arrow + maps the ``extension_name`` string back to the registered Python type. """ storage_values = [lt.python_to_storage(v) for v in values] arrow_ext = lt.get_arrow_extension_type() From c2fba33a9be94489b69092055bb1c479a30657f1 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 20:18:25 +0000 Subject: [PATCH 041/206] refactor(extension_types): lazy-import pa/pl, simplify python_type annotation, document LogicalType category (PLT-1668) - registry.py: replace top-level pa/pl imports with LazyModule under TYPE_CHECKING guard, following the project-wide pattern for heavy deps - protocols.py: change python_type return annotation from type[Any] to type; type[Any] adds no constraint over bare type here - registry.py make_arrow_extension_type docstring: reframe LogicalType as acting as a factory that creates and owns its pa.ExtensionType instance; document that metadata can encode a LogicalType category (e.g. b"Dataclass", b"Pydantic", b"Pickle") that a future LogicalTypeFactory will use to auto-generate LogicalType instances for specific Python classes within that category Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/protocols.py | 2 +- src/orcapod/extension_types/registry.py | 29 ++++++++++++++++++------ 2 files changed, 23 insertions(+), 8 deletions(-) diff --git a/src/orcapod/extension_types/protocols.py b/src/orcapod/extension_types/protocols.py index 539f54e5..c4d3af73 100644 --- a/src/orcapod/extension_types/protocols.py +++ b/src/orcapod/extension_types/protocols.py @@ -40,7 +40,7 @@ def logical_type_name(self) -> str: ... @property - def python_type(self) -> type[Any]: + def python_type(self) -> type: """The Python class this logical type represents.""" ... diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 3ed1d516..10c60e19 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -7,11 +7,17 @@ from __future__ import annotations import re - -import polars as pl -import pyarrow as pa +from typing import TYPE_CHECKING from orcapod.extension_types.protocols import LogicalType +from orcapod.utils.lazy_module import LazyModule + +if TYPE_CHECKING: + import polars as pl + import pyarrow as pa +else: + pa = LazyModule("pyarrow") + pl = LazyModule("polars") def _sanitize(name: str) -> str: @@ -35,10 +41,10 @@ def make_arrow_extension_type( the option to create multiple instances or future parameterised variants from the same class. - This is a low-level building block. The full pattern for binding a Python - type to a specific Arrow/Polars representation — the extension type factory — - is the responsibility of each ``LogicalType`` implementation. See PLT-1656 - for the built-in implementations (``Path``, ``UPath``, ``UUID``). + This is a low-level building block. Each ``LogicalType`` implementation acts + as a factory: it creates and owns the ``pa.ExtensionType`` instance it requires + and exposes it via ``get_arrow_extension_type()``. See PLT-1656 for the + built-in implementations (``Path``, ``UPath``, ``UUID``). Args: extension_name: The Arrow extension name (``ARROW:extension:name``). @@ -46,6 +52,15 @@ def make_arrow_extension_type( metadata: Optional bytes stored as ``ARROW:extension:metadata``. Defaults to ``None`` (serialised as empty bytes). + ``metadata`` can optionally encode a **LogicalType category** — a + short identifier (e.g. ``b"Dataclass"``, ``b"Pydantic"``, + ``b"Pickle"``) that classifies the kind of Python type being + represented. A future ``LogicalTypeFactory`` will inspect this + category when reading schemas from IPC or Parquet files and use it + to auto-generate the correct ``LogicalType`` for the specific Python + class within that category, without requiring explicit prior + registration. + Returns: A ``pa.ExtensionType`` subclass. Call it with no arguments to obtain an instance suitable for passing to ``pa.register_extension_type`` or From caa09ade0d4b05bd80487bc80f63d6a8a7b117d1 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 21:58:08 +0000 Subject: [PATCH 042/206] docs(extension_types): add PLT-1656 builtin logical types design spec --- ...4-plt-1656-builtin-logical-types-design.md | 304 ++++++++++++++++++ 1 file changed, 304 insertions(+) create mode 100644 superpowers/specs/2026-06-14-plt-1656-builtin-logical-types-design.md diff --git a/superpowers/specs/2026-06-14-plt-1656-builtin-logical-types-design.md b/superpowers/specs/2026-06-14-plt-1656-builtin-logical-types-design.md new file mode 100644 index 00000000..67b8439c --- /dev/null +++ b/superpowers/specs/2026-06-14-plt-1656-builtin-logical-types-design.md @@ -0,0 +1,304 @@ +# PLT-1656: Built-in LogicalType Implementations (Path, UPath, UUID) + +**Date:** 2026-06-14 +**Issue:** PLT-1656 +**Depends on:** PLT-1668 (LogicalType protocol + LogicalTypeRegistry — completed) + +--- + +## Overview + +Implement the three built-in `LogicalType` instances (`LogicalPath`, +`LogicalUPath`, `LogicalUUID`) in a new module +`src/orcapod/extension_types/builtin_logical_types.py`. + +Wire the default registry into `DataContext` via `v0.1.json` using the existing +`parse_objectspec()` JSON object spec mechanism — exactly as `semantic_registry`, +`type_converter`, and the other default objects are built. The primary access path +for the default registry is `get_default_context().logical_type_registry`, with a +`get_default_logical_type_registry()` convenience function added to `contexts`. + +These are the first concrete implementations of the `LogicalType` protocol +introduced by PLT-1668. The naming convention is `LogicalXXX` (no "Type" suffix): +`LogicalType` is the abstract protocol; `LogicalPath`, `LogicalUPath`, `LogicalUUID` +are the concrete descriptors. The old `PythonPathStructConverter`, +`UPathStructConverter`, and `UUIDStructConverter` in +`semantic_types/semantic_struct_converters.py` remain untouched until PLT-1660 +(hard cut). + +--- + +## New file: `src/orcapod/extension_types/builtin_logical_types.py` + +### `LogicalPath` + +| Property / Method | Value | +|---|---| +| `logical_type_name` | `"pathlib.Path"` | +| `python_type` | `pathlib.Path` | +| Arrow extension name | `"pathlib.Path"` (custom — created via `make_arrow_extension_type`) | +| Arrow storage type | `pa.large_string()` | +| Arrow extension metadata | `b"orcapod.builtin"` | +| `python_to_storage(path)` | `str(path)` | +| `storage_to_python(s)` | `Path(s)` | + +`get_arrow_extension_type()` uses +`make_arrow_extension_type("pathlib.Path", pa.large_string(), b"orcapod.builtin")` +to obtain the class (called once), then returns a cached instance. + +`get_polars_extension_type()` uses +`make_polars_extension_type("pathlib.Path", pa.large_string(), "orcapod.builtin")` +similarly. + +### `LogicalUPath` + +Identical structure to `LogicalPath` with: + +| Property / Method | Value | +|---|---| +| `logical_type_name` | `"upath.UPath"` | +| `python_type` | `upath.UPath` | +| Arrow extension name | `"upath.UPath"` | +| `python_to_storage(upath)` | `str(upath)` | +| `storage_to_python(s)` | `UPath(s)` | + +### `LogicalUUID` + +| Property / Method | Value | +|---|---| +| `logical_type_name` | `"uuid.UUID"` | +| `python_type` | `uuid.UUID` | +| Arrow extension name | `"arrow.uuid"` (PyArrow built-in — `pa.uuid()`) | +| Arrow storage type | `pa.binary(16)` (encapsulated in `pa.uuid()`) | +| Arrow extension metadata | controlled by PyArrow (not `b"orcapod.builtin"`) | +| `python_to_storage(uuid_val)` | `uuid_val.bytes` | +| `storage_to_python(bytes_val)` | `uuid.UUID(bytes=bytes(bytes_val))` | + +`get_arrow_extension_type()` returns `pa.uuid()` directly — PyArrow's pre-existing +built-in type registered as `"arrow.uuid"`. The registry accepts this silently +(PLT-1668 behaviour). **`logical_type_name` (`"uuid.UUID"`) intentionally differs +from the Arrow extension name (`"arrow.uuid"`).** + +`get_polars_extension_type()` uses +`make_polars_extension_type("arrow.uuid", pa.binary(16), None)`. +Note: the Polars registration name is the Arrow extension name (`"arrow.uuid"`), +not the logical type name (`"uuid.UUID"`), so that Polars correctly maps Arrow +UUID columns on read. + +### Caching strategy + +Each class caches its Arrow and Polars extension type instances as class-level +attributes to avoid re-creating dynamic subclasses on every `get_*` call: + +```python +class LogicalPath: + _arrow_ext_class = make_arrow_extension_type( + "pathlib.Path", pa.large_string(), b"orcapod.builtin" + ) + _arrow_ext: pa.ExtensionType | None = None + + def get_arrow_extension_type(self) -> pa.ExtensionType: + if LogicalPath._arrow_ext is None: + LogicalPath._arrow_ext = LogicalPath._arrow_ext_class() + return LogicalPath._arrow_ext +``` + +Imports inside `builtin_logical_types.py` must use direct submodule paths +(e.g. `from orcapod.extension_types.registry import make_arrow_extension_type`), +not the package `__init__` (`from orcapod.extension_types import ...`), to avoid +a circular import when the context system loads this module. + +--- + +## New helper: `make_polars_extension_type` in `registry.py` + +Add alongside the existing `make_arrow_extension_type`: + +```python +def make_polars_extension_type( + extension_name: str, + arrow_storage_type: pa.DataType, + metadata: str | None = None, +) -> type[pl.BaseExtension]: + """Synthesise and return a ``pl.BaseExtension`` subclass. + + Derives the Polars storage dtype from *arrow_storage_type* via + ``pl.from_arrow``. Returns the *class*; callers instantiate it inside + ``get_polars_extension_type()``. + """ +``` + +Polars dtype is computed once via +`pl.from_arrow(pa.array([], type=arrow_storage_type)).dtype` and captured +in the closure, mirroring the `make_arrow_extension_type` pattern. + +Export `make_polars_extension_type` from `__init__.py` alongside +`make_arrow_extension_type`. + +--- + +## `LogicalTypeRegistry.__init__` — add `logical_types` parameter + +Small backward-compatible addition to `registry.py` so that +`parse_objectspec()` can populate the registry via `_config`: + +```python +def __init__(self, logical_types: list[LogicalType] | None = None) -> None: + self._by_logical_name: dict[str, LogicalType] = {} + self._by_arrow_name: dict[str, LogicalType] = {} + self._by_python_type: dict[type, LogicalType] = {} + for lt in (logical_types or []): + self.register(lt) +``` + +Same pattern as `SemanticTypeRegistry`'s `converters` constructor argument. + +--- + +## `DataContext` — add `logical_type_registry` field + +In `src/orcapod/contexts/core.py`, add field to the `DataContext` dataclass: + +```python +from orcapod.extension_types.registry import LogicalTypeRegistry + +@dataclass +class DataContext: + ... + logical_type_registry: LogicalTypeRegistry +``` + +--- + +## `v0.1.json` — add `logical_type_registry` entry + +Add before the `"metadata"` key: + +```json +"logical_type_registry": { + "_class": "orcapod.extension_types.registry.LogicalTypeRegistry", + "_config": { + "logical_types": [ + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUUID", + "_config": {} + } + ] + } +} +``` + +--- + +## `contexts/__init__.py` — add convenience accessor + +Add alongside `get_default_type_converter()`: + +```python +def get_default_logical_type_registry() -> LogicalTypeRegistry: + """Get the default logical type registry. + + Returns: + ``LogicalTypeRegistry`` instance from the default context. + """ + return get_default_context().logical_type_registry +``` + +Add to `__all__`. + +--- + +## `context_schema.json` — add `logical_type_registry` + +Add `"logical_type_registry"` to the required/allowed fields in +`src/orcapod/contexts/data/schemas/context_schema.json`. + +--- + +## `extension_types/__init__.py` — remove standalone default registry + +**Remove** the line `default_logical_type_registry = LogicalTypeRegistry()`. + +The standard access paths are now: +- `get_default_context().logical_type_registry` +- `get_default_logical_type_registry()` (from `orcapod.contexts`) + +Removing the module-level variable avoids a circular import: if `__init__.py` +called `get_default_context()` at import time, it would force-eager-load all +context components (file hasher, semantic registry, arrow hasher, etc.) whenever +`orcapod.extension_types` is imported. + +Update `__all__` accordingly. + +--- + +## Tests: `tests/test_extension_types/test_builtin_logical_types.py` + +### Protocol conformance +- `isinstance(LogicalPath(), LogicalType)` → `True` (and `LogicalUPath`, `LogicalUUID`) + +### Property values +- `logical_type_name`, `python_type` correct for each class +- `get_arrow_extension_type().extension_name` returns expected Arrow ext name +- UUID: `get_arrow_extension_type().extension_name == "arrow.uuid"` (not `"uuid.UUID"`) + +### Conversion round-trips +- `Path`: `storage_to_python(python_to_storage(Path("/tmp/foo"))) == Path("/tmp/foo")` +- `UPath`: `storage_to_python(python_to_storage(UPath("s3://bucket/key"))) == UPath("s3://bucket/key")` +- `UUID`: `storage_to_python(python_to_storage(some_uuid)) == some_uuid` + +### Default context registration +After `from orcapod.contexts import get_default_context`: +- `get_default_context().logical_type_registry.get_by_logical_name("pathlib.Path")` → `LogicalPath` +- `get_default_context().logical_type_registry.get_by_python_type(Path)` → `LogicalPath` +- `get_default_context().logical_type_registry.get_by_arrow_extension_name("pathlib.Path")` → `LogicalPath` +- Same pattern for UPath +- `get_default_context().logical_type_registry.get_by_logical_name("uuid.UUID")` → `LogicalUUID` +- `get_default_context().logical_type_registry.get_by_arrow_extension_name("arrow.uuid")` → `LogicalUUID` + +### Pre-existing Arrow type tolerance +- Registering `LogicalUUID` succeeds even though `pa.uuid()` (`"arrow.uuid"`) is already registered in PyArrow + +### Idempotence +- Calling `get_default_context()` twice returns the same `LogicalTypeRegistry` instance (context caching) + +--- + +## Summary of files changed + +| File | Change | +|---|---| +| `src/orcapod/extension_types/builtin_logical_types.py` | **New** — three `LogicalType` implementations | +| `src/orcapod/extension_types/registry.py` | Add `make_polars_extension_type` helper; add `logical_types` param to `LogicalTypeRegistry.__init__` | +| `src/orcapod/extension_types/__init__.py` | Remove `default_logical_type_registry`; export `make_polars_extension_type` | +| `src/orcapod/contexts/core.py` | Add `logical_type_registry: LogicalTypeRegistry` to `DataContext` | +| `src/orcapod/contexts/data/v0.1.json` | Add `logical_type_registry` entry | +| `src/orcapod/contexts/data/schemas/context_schema.json` | Add `logical_type_registry` to schema | +| `src/orcapod/contexts/__init__.py` | Add `get_default_logical_type_registry()` | +| `tests/test_extension_types/test_builtin_logical_types.py` | **New** — tests | + +--- + +## Scope boundaries + +**In scope (this issue):** +- `builtin_logical_types.py` with three `LogicalType` implementations +- `make_polars_extension_type` helper in `registry.py` +- `logical_types` constructor param in `LogicalTypeRegistry` +- `DataContext.logical_type_registry` field + `v0.1.json` entry + schema update +- `get_default_logical_type_registry()` in `contexts` +- Tests in `test_builtin_logical_types.py` + +**Out of scope (deferred to PLT-1660):** +- Deleting `PythonPathStructConverter`, `UPathStructConverter`, `UUIDStructConverter` +- Using `logical_type_registry` inside `DataContext`'s other components + (e.g. replacing `UniversalTypeConverter`'s semantic registry lookup) +- File hashing — remains exclusively in `PathContentHandler` / `UPathContentHandler` From 98f18c096059ae14bbe87b4a0364c6973dcec8ad Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 22:30:07 +0000 Subject: [PATCH 043/206] feat(extension_types): add make_polars_extension_type helper Adds make_polars_extension_type() to registry.py, parallel to the existing make_arrow_extension_type(). Exports it from the package __init__.py and adds 5 tests covering class creation, ext_name correctness, ext_from_params, binary storage, and metadata capture. Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/__init__.py | 3 +- src/orcapod/extension_types/registry.py | 55 +++++++++++++++++++++ tests/test_extension_types/test_registry.py | 46 ++++++++++++++++- 3 files changed, 102 insertions(+), 2 deletions(-) diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index 3aab78c8..252fceaf 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -11,7 +11,7 @@ from __future__ import annotations from .protocols import LogicalType -from .registry import LogicalTypeRegistry, make_arrow_extension_type +from .registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema default_logical_type_registry = LogicalTypeRegistry() @@ -20,6 +20,7 @@ "LogicalType", "LogicalTypeRegistry", "make_arrow_extension_type", + "make_polars_extension_type", "default_logical_type_registry", # PLT-1654 "ExtensionTypeInfo", diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 10c60e19..c33d1414 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -97,6 +97,61 @@ def _deserialize(cls, storage_type: pa.DataType, serialized: bytes) -> pa.Extens ) +def make_polars_extension_type( + extension_name: str, + arrow_storage_type: pa.DataType, + metadata: str | None = None, +) -> type[pl.BaseExtension]: + """Synthesise and return a ``pl.BaseExtension`` subclass. + + Derives the Polars storage dtype from *arrow_storage_type* via + ``pl.from_arrow``. Returns the *class*; callers instantiate it inside + ``get_polars_extension_type()``. + + The returned class uses the Arrow extension name as its registration name + (the same name passed to ``pl.register_extension_type``), so that Polars + correctly maps Arrow extension columns on read. + + Args: + extension_name: The extension type name used for Polars registration. + Must match the Arrow extension name so Polars can round-trip the + type through Arrow IPC. + arrow_storage_type: The Arrow storage type. Converted once to the + corresponding Polars dtype via ``pl.from_arrow``. + metadata: Optional metadata string stored as ``metadata_str`` in the + Polars extension. Defaults to ``None``. + + Returns: + A ``pl.BaseExtension`` subclass. Call it with no arguments to obtain + an instance suitable for passing to ``pl.register_extension_type`` or + returning from ``get_polars_extension_type()``. + """ + _name = extension_name + _polars_dtype = pl.from_arrow(pa.array([], type=arrow_storage_type)).dtype + _metadata = metadata + + def __init__(self: pl.BaseExtension) -> None: + pl.BaseExtension.__init__(self, _name, _polars_dtype, _metadata) + + @classmethod # type: ignore[misc] + def ext_from_params( + cls: type[pl.BaseExtension], + ext_name: str, + storage_dtype: pl.PolarsDataType, + metadata_str: str | None, + ) -> pl.BaseExtension: + return cls() + + return type( + f"_PolarsExt_{_sanitize(extension_name)}", + (pl.BaseExtension,), + { + "__init__": __init__, + "ext_from_params": ext_from_params, + }, + ) + + class LogicalTypeRegistry: """Registry for ``LogicalType`` instances. diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 060b5e87..b0baf832 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -13,7 +13,7 @@ import pytest from orcapod.extension_types.protocols import LogicalType -from orcapod.extension_types.registry import LogicalTypeRegistry, make_arrow_extension_type +from orcapod.extension_types.registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type # --------------------------------------------------------------------------- @@ -445,6 +445,50 @@ def test_parquet_round_trip(): assert recovered == originals +# --------------------------------------------------------------------------- +# make_polars_extension_type tests +# --------------------------------------------------------------------------- + + +def test_make_polars_extension_type_returns_class(): + """make_polars_extension_type returns a pl.BaseExtension subclass.""" + cls = make_polars_extension_type("test.MakePolarsExt", pa.large_utf8()) + assert issubclass(cls, pl.BaseExtension) + + +def test_make_polars_extension_type_instance_has_correct_name(): + """Instantiating the returned class yields the correct ext_name.""" + name = _unique_name() + cls = make_polars_extension_type(name, pa.large_utf8()) + inst = cls() + assert inst.ext_name() == name + + +def test_make_polars_extension_type_ext_from_params_returns_instance(): + """ext_from_params classmethod returns an instance of the class.""" + name = _unique_name() + cls = make_polars_extension_type(name, pa.large_utf8()) + inst = cls.ext_from_params(name, pl.String, None) + assert isinstance(inst, cls) + + +def test_make_polars_extension_type_with_binary_storage(): + """make_polars_extension_type works with pa.binary(16) storage (UUID case).""" + name = _unique_name() + cls = make_polars_extension_type(name, pa.binary(16), None) + inst = cls() + assert inst.ext_name() == name + + +def test_make_polars_extension_type_with_metadata(): + """make_polars_extension_type captures metadata in the class.""" + name = _unique_name() + cls = make_polars_extension_type(name, pa.large_utf8(), "test.metadata") + # Instantiating should not raise; ext_name is correct. + inst = cls() + assert inst.ext_name() == name + + # --------------------------------------------------------------------------- # default_logical_type_registry tests # --------------------------------------------------------------------------- From 605204c3c7ad39ea27581a73b45b1d46020ca5d8 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 22:33:04 +0000 Subject: [PATCH 044/206] feat(extension_types): add logical_types constructor param to LogicalTypeRegistry --- src/orcapod/extension_types/registry.py | 12 +++++++- tests/test_extension_types/test_registry.py | 34 +++++++++++++++++++++ 2 files changed, 45 insertions(+), 1 deletion(-) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index c33d1414..fc2c3854 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -167,16 +167,26 @@ class LogicalTypeRegistry: The process-global ``default_logical_type_registry`` instance provides effective process-wide uniqueness for normal use. Thread-safety is deferred. + An optional ``logical_types`` list can be passed at construction time to + pre-register one or more ``LogicalType`` instances immediately, following + the same pattern as ``SemanticTypeRegistry``'s ``converters`` constructor + argument. + Example: >>> registry = LogicalTypeRegistry() >>> registry.register(my_logical_type) >>> lt = registry.get_by_logical_name("uuid.UUID") + + >>> # Pre-register types at construction: + >>> registry = LogicalTypeRegistry(logical_types=[path_lt, uuid_lt]) """ - def __init__(self) -> None: + def __init__(self, logical_types: list[LogicalType] | None = None) -> None: self._by_logical_name: dict[str, LogicalType] = {} self._by_arrow_name: dict[str, LogicalType] = {} self._by_python_type: dict[type, LogicalType] = {} + for lt in (logical_types or []): + self.register(lt) def register(self, logical_type: LogicalType) -> None: """Register *logical_type* and its PyArrow/Polars extension types. diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index b0baf832..df000788 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -214,6 +214,40 @@ def test_get_by_arrow_extension_name_miss(): assert registry.get_by_arrow_extension_name("does.not.exist") is None +# --------------------------------------------------------------------------- +# LogicalTypeRegistry constructor logical_types param tests +# --------------------------------------------------------------------------- + +def test_registry_init_with_logical_types_preregisters(): + """LogicalTypeRegistry(logical_types=[lt]) makes the type immediately retrievable.""" + lt = _make_stub() + registry = LogicalTypeRegistry(logical_types=[lt]) + assert registry.get_by_logical_name(lt.logical_type_name) is lt + assert registry.get_by_python_type(lt.python_type) is lt + assert registry.get_by_arrow_extension_name(lt.get_arrow_extension_type().extension_name) is lt + + +def test_registry_init_with_none_is_empty(): + """LogicalTypeRegistry(logical_types=None) starts empty without error.""" + registry = LogicalTypeRegistry(logical_types=None) + assert registry.get_by_logical_name("anything") is None + + +def test_registry_init_with_empty_list_is_empty(): + """LogicalTypeRegistry(logical_types=[]) starts empty without error.""" + registry = LogicalTypeRegistry(logical_types=[]) + assert registry.get_by_logical_name("anything") is None + + +def test_registry_init_with_multiple_logical_types(): + """LogicalTypeRegistry(logical_types=[lt1, lt2]) registers both.""" + lt1 = _make_stub(py_type=int) + lt2 = _make_stub(py_type=float) + registry = LogicalTypeRegistry(logical_types=[lt1, lt2]) + assert registry.get_by_logical_name(lt1.logical_type_name) is lt1 + assert registry.get_by_logical_name(lt2.logical_type_name) is lt2 + + # --------------------------------------------------------------------------- # PyArrow global registry tests # --------------------------------------------------------------------------- From 32f45aaad1a455ece9e51634811b77fec115f0f3 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 22:36:18 +0000 Subject: [PATCH 045/206] feat(extension_types): implement LogicalPath and LogicalUPath --- .../extension_types/builtin_logical_types.py | 175 ++++++++++++++++++ .../test_builtin_logical_types.py | 150 +++++++++++++++ 2 files changed, 325 insertions(+) create mode 100644 src/orcapod/extension_types/builtin_logical_types.py create mode 100644 tests/test_extension_types/test_builtin_logical_types.py diff --git a/src/orcapod/extension_types/builtin_logical_types.py b/src/orcapod/extension_types/builtin_logical_types.py new file mode 100644 index 00000000..61317707 --- /dev/null +++ b/src/orcapod/extension_types/builtin_logical_types.py @@ -0,0 +1,175 @@ +"""Built-in LogicalType implementations for orcapod. + +Provides three built-in logical types registered into the default +``DataContext.logical_type_registry`` via ``contexts/data/v0.1.json``: + +- ``LogicalPath``: maps ``pathlib.Path`` ↔ Arrow large_string extension "pathlib.Path" +- ``LogicalUPath``: maps ``upath.UPath`` ↔ Arrow large_string extension "upath.UPath" +- ``LogicalUUID``: maps ``uuid.UUID`` ↔ PyArrow built-in ``pa.uuid()`` ("arrow.uuid") + +Note: + All imports from orcapod.extension_types use direct submodule paths + (e.g. ``from orcapod.extension_types.registry import ...``) rather than + the package ``__init__`` to avoid circular imports when the context system + loads this module at startup. +""" + +from __future__ import annotations + +import pathlib +import uuid as _uuid_module +from typing import TYPE_CHECKING, Any + +from upath import UPath + +from orcapod.extension_types.registry import make_arrow_extension_type, make_polars_extension_type +from orcapod.utils.lazy_module import LazyModule + +if TYPE_CHECKING: + import polars as pl + import pyarrow as pa +else: + pa = LazyModule("pyarrow") + pl = LazyModule("polars") + + +class LogicalPath: + """Logical type for ``pathlib.Path``. + + Stores paths as Arrow large strings using the custom extension type + ``"pathlib.Path"`` with metadata ``b"orcapod.builtin"``. + + Example: + >>> lt = LogicalPath() + >>> lt.python_to_storage(pathlib.Path("/tmp/foo")) + '/tmp/foo' + >>> lt.storage_to_python('/tmp/foo') + PosixPath('/tmp/foo') + """ + + _arrow_ext_class = make_arrow_extension_type( + "pathlib.Path", pa.large_string(), b"orcapod.builtin" + ) + _arrow_ext: pa.ExtensionType | None = None + _polars_ext_class = make_polars_extension_type( + "pathlib.Path", pa.large_string(), "orcapod.builtin" + ) + _polars_ext: pl.BaseExtension | None = None + + logical_type_name: str = "pathlib.Path" + python_type: type = pathlib.Path + + def get_arrow_extension_type(self) -> pa.ExtensionType: + """Return the Arrow extension type for ``pathlib.Path``. + + Returns: + A cached ``pa.ExtensionType`` instance with extension name + ``"pathlib.Path"`` and storage type ``pa.large_string()``. + """ + if LogicalPath._arrow_ext is None: + LogicalPath._arrow_ext = LogicalPath._arrow_ext_class() + return LogicalPath._arrow_ext + + def get_polars_extension_type(self) -> pl.BaseExtension: + """Return the Polars extension type for ``pathlib.Path``. + + Returns: + A cached ``pl.BaseExtension`` instance registered under + ``"pathlib.Path"``. + """ + if LogicalPath._polars_ext is None: + LogicalPath._polars_ext = LogicalPath._polars_ext_class() + return LogicalPath._polars_ext + + def python_to_storage(self, value: Any) -> str: + """Convert a ``pathlib.Path`` to its string representation. + + Args: + value: A ``pathlib.Path`` instance. + + Returns: + The string form of the path (e.g. ``"/tmp/foo"``). + """ + return str(value) + + def storage_to_python(self, storage_value: Any) -> pathlib.Path: + """Reconstruct a ``pathlib.Path`` from its string representation. + + Args: + storage_value: A string path as stored in Arrow. + + Returns: + A ``pathlib.Path`` instance. + """ + return pathlib.Path(storage_value) + + +class LogicalUPath: + """Logical type for ``upath.UPath``. + + Stores paths as Arrow large strings using the custom extension type + ``"upath.UPath"`` with metadata ``b"orcapod.builtin"``. + + Example: + >>> lt = LogicalUPath() + >>> lt.python_to_storage(UPath("s3://bucket/key")) + 's3://bucket/key' + >>> lt.storage_to_python("s3://bucket/key") + UPath('s3://bucket/key') + """ + + _arrow_ext_class = make_arrow_extension_type( + "upath.UPath", pa.large_string(), b"orcapod.builtin" + ) + _arrow_ext: pa.ExtensionType | None = None + _polars_ext_class = make_polars_extension_type( + "upath.UPath", pa.large_string(), "orcapod.builtin" + ) + _polars_ext: pl.BaseExtension | None = None + + logical_type_name: str = "upath.UPath" + python_type: type = UPath + + def get_arrow_extension_type(self) -> pa.ExtensionType: + """Return the Arrow extension type for ``upath.UPath``. + + Returns: + A cached ``pa.ExtensionType`` instance with extension name + ``"upath.UPath"`` and storage type ``pa.large_string()``. + """ + if LogicalUPath._arrow_ext is None: + LogicalUPath._arrow_ext = LogicalUPath._arrow_ext_class() + return LogicalUPath._arrow_ext + + def get_polars_extension_type(self) -> pl.BaseExtension: + """Return the Polars extension type for ``upath.UPath``. + + Returns: + A cached ``pl.BaseExtension`` instance registered under + ``"upath.UPath"``. + """ + if LogicalUPath._polars_ext is None: + LogicalUPath._polars_ext = LogicalUPath._polars_ext_class() + return LogicalUPath._polars_ext + + def python_to_storage(self, value: Any) -> str: + """Convert a ``upath.UPath`` to its string representation. + + Args: + value: A ``upath.UPath`` instance. + + Returns: + The string form of the path (e.g. ``"s3://bucket/key"``). + """ + return str(value) + + def storage_to_python(self, storage_value: Any) -> UPath: + """Reconstruct a ``upath.UPath`` from its string representation. + + Args: + storage_value: A string path as stored in Arrow. + + Returns: + A ``upath.UPath`` instance. + """ + return UPath(storage_value) diff --git a/tests/test_extension_types/test_builtin_logical_types.py b/tests/test_extension_types/test_builtin_logical_types.py new file mode 100644 index 00000000..81c15a35 --- /dev/null +++ b/tests/test_extension_types/test_builtin_logical_types.py @@ -0,0 +1,150 @@ +"""Tests for built-in LogicalType implementations (LogicalPath, LogicalUPath, LogicalUUID).""" + +from __future__ import annotations + +import pathlib +import uuid as uuid_module +import warnings + +import polars as pl +import pyarrow as pa +import pytest +from upath import UPath + +from orcapod.extension_types.protocols import LogicalType +from orcapod.extension_types.registry import LogicalTypeRegistry + + +# --------------------------------------------------------------------------- +# LogicalPath tests +# --------------------------------------------------------------------------- + + +def test_logical_path_isinstance_logical_type(): + """LogicalPath() satisfies the LogicalType runtime-checkable protocol.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + + assert isinstance(LogicalPath(), LogicalType) + + +def test_logical_path_logical_type_name(): + from orcapod.extension_types.builtin_logical_types import LogicalPath + + assert LogicalPath().logical_type_name == "pathlib.Path" + + +def test_logical_path_python_type(): + from orcapod.extension_types.builtin_logical_types import LogicalPath + + assert LogicalPath().python_type is pathlib.Path + + +def test_logical_path_arrow_ext_name(): + """get_arrow_extension_type().extension_name is 'pathlib.Path'.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + + assert LogicalPath().get_arrow_extension_type().extension_name == "pathlib.Path" + + +def test_logical_path_arrow_ext_storage_type(): + """Arrow extension storage type is pa.large_string().""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + + assert LogicalPath().get_arrow_extension_type().storage_type == pa.large_string() + + +def test_logical_path_get_arrow_extension_type_is_cached(): + """get_arrow_extension_type() returns the same object on repeated calls.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + + lt = LogicalPath() + assert lt.get_arrow_extension_type() is lt.get_arrow_extension_type() + + +def test_logical_path_get_polars_extension_type_is_cached(): + """get_polars_extension_type() returns the same object on repeated calls.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + + lt = LogicalPath() + assert lt.get_polars_extension_type() is lt.get_polars_extension_type() + + +def test_logical_path_round_trip(): + """Path -> python_to_storage -> storage_to_python -> Path is identity.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + + lt = LogicalPath() + p = pathlib.Path("/tmp/foo/bar.txt") + assert lt.storage_to_python(lt.python_to_storage(p)) == p + + +def test_logical_path_python_to_storage_returns_string(): + from orcapod.extension_types.builtin_logical_types import LogicalPath + + lt = LogicalPath() + result = lt.python_to_storage(pathlib.Path("/tmp/test")) + assert isinstance(result, str) + assert result == "/tmp/test" + + +# --------------------------------------------------------------------------- +# LogicalUPath tests +# --------------------------------------------------------------------------- + + +def test_logical_upath_isinstance_logical_type(): + """LogicalUPath() satisfies the LogicalType runtime-checkable protocol.""" + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + assert isinstance(LogicalUPath(), LogicalType) + + +def test_logical_upath_logical_type_name(): + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + assert LogicalUPath().logical_type_name == "upath.UPath" + + +def test_logical_upath_python_type(): + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + assert LogicalUPath().python_type is UPath + + +def test_logical_upath_arrow_ext_name(): + """get_arrow_extension_type().extension_name is 'upath.UPath'.""" + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + assert LogicalUPath().get_arrow_extension_type().extension_name == "upath.UPath" + + +def test_logical_upath_arrow_ext_storage_type(): + """Arrow extension storage type is pa.large_string().""" + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + assert LogicalUPath().get_arrow_extension_type().storage_type == pa.large_string() + + +def test_logical_upath_get_arrow_extension_type_is_cached(): + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + lt = LogicalUPath() + assert lt.get_arrow_extension_type() is lt.get_arrow_extension_type() + + +def test_logical_upath_round_trip(): + """UPath -> python_to_storage -> storage_to_python -> UPath is identity.""" + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + lt = LogicalUPath() + up = UPath("s3://bucket/key/file.txt") + assert lt.storage_to_python(lt.python_to_storage(up)) == up + + +def test_logical_upath_python_to_storage_returns_string(): + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + lt = LogicalUPath() + result = lt.python_to_storage(UPath("s3://bucket/key")) + assert isinstance(result, str) + assert result == "s3://bucket/key" From d1928203372b20894f5db3498b65bccfd697d6da Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 22:37:28 +0000 Subject: [PATCH 046/206] test(extension_types): add missing Polars caching test for LogicalUPath Co-Authored-By: Claude Sonnet 4.6 --- tests/test_extension_types/test_builtin_logical_types.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/tests/test_extension_types/test_builtin_logical_types.py b/tests/test_extension_types/test_builtin_logical_types.py index 81c15a35..c0b78d68 100644 --- a/tests/test_extension_types/test_builtin_logical_types.py +++ b/tests/test_extension_types/test_builtin_logical_types.py @@ -132,6 +132,13 @@ def test_logical_upath_get_arrow_extension_type_is_cached(): assert lt.get_arrow_extension_type() is lt.get_arrow_extension_type() +def test_logical_upath_get_polars_extension_type_is_cached(): + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + lt = LogicalUPath() + assert lt.get_polars_extension_type() is lt.get_polars_extension_type() + + def test_logical_upath_round_trip(): """UPath -> python_to_storage -> storage_to_python -> UPath is identity.""" from orcapod.extension_types.builtin_logical_types import LogicalUPath From 35a63e27ea9a64b06cd0e97fa77d534a2d11f7b8 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 22:40:15 +0000 Subject: [PATCH 047/206] refactor(extension_types): use direct pa/pl imports in builtin_logical_types Remove pointless LazyModule overhead since builtin_logical_types creates extension type classes at definition time with pa.large_string() and pa.binary(16) calls, defeating lazy imports. The module requires pyarrow and polars when imported regardless, so LazyModule provides no practical benefit here. --- src/orcapod/extension_types/builtin_logical_types.py | 12 +++--------- 1 file changed, 3 insertions(+), 9 deletions(-) diff --git a/src/orcapod/extension_types/builtin_logical_types.py b/src/orcapod/extension_types/builtin_logical_types.py index 61317707..fe0036ce 100644 --- a/src/orcapod/extension_types/builtin_logical_types.py +++ b/src/orcapod/extension_types/builtin_logical_types.py @@ -18,19 +18,13 @@ import pathlib import uuid as _uuid_module -from typing import TYPE_CHECKING, Any +from typing import Any +import polars as pl +import pyarrow as pa from upath import UPath from orcapod.extension_types.registry import make_arrow_extension_type, make_polars_extension_type -from orcapod.utils.lazy_module import LazyModule - -if TYPE_CHECKING: - import polars as pl - import pyarrow as pa -else: - pa = LazyModule("pyarrow") - pl = LazyModule("polars") class LogicalPath: From 4a4d2a28d287992620fb22c10ba08f5b13662040 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 22:42:16 +0000 Subject: [PATCH 048/206] feat(extension_types): implement LogicalUUID --- .../extension_types/builtin_logical_types.py | 74 ++++++++++++++ .../test_builtin_logical_types.py | 96 +++++++++++++++++++ 2 files changed, 170 insertions(+) diff --git a/src/orcapod/extension_types/builtin_logical_types.py b/src/orcapod/extension_types/builtin_logical_types.py index fe0036ce..4bba9900 100644 --- a/src/orcapod/extension_types/builtin_logical_types.py +++ b/src/orcapod/extension_types/builtin_logical_types.py @@ -167,3 +167,77 @@ def storage_to_python(self, storage_value: Any) -> UPath: A ``upath.UPath`` instance. """ return UPath(storage_value) + + +class LogicalUUID: + """Logical type for ``uuid.UUID``. + + Uses PyArrow's built-in ``pa.uuid()`` extension type (``"arrow.uuid"``) + which stores UUID values as 16-byte binary (``pa.binary(16)``). + + Note: + ``logical_type_name`` (``"uuid.UUID"``) intentionally differs from + the Arrow extension name (``"arrow.uuid"``). The + ``LogicalTypeRegistry`` stores both bindings so that lookups by + either key resolve to this same instance. + + Example: + >>> import uuid + >>> lt = LogicalUUID() + >>> u = uuid.uuid4() + >>> lt.storage_to_python(lt.python_to_storage(u)) == u + True + """ + + _arrow_ext: pa.ExtensionType | None = None + _polars_ext_class = make_polars_extension_type("arrow.uuid", pa.binary(16), None) + _polars_ext: pl.BaseExtension | None = None + + logical_type_name: str = "uuid.UUID" + python_type: type = _uuid_module.UUID + + def get_arrow_extension_type(self) -> pa.ExtensionType: + """Return PyArrow's built-in ``pa.uuid()`` extension type. + + Returns: + A cached ``pa.uuid()`` instance (Arrow extension name ``"arrow.uuid"``, + storage type ``pa.binary(16)``). + """ + if LogicalUUID._arrow_ext is None: + LogicalUUID._arrow_ext = pa.uuid() + return LogicalUUID._arrow_ext + + def get_polars_extension_type(self) -> pl.BaseExtension: + """Return the Polars extension type for ``arrow.uuid``. + + Returns: + A cached ``pl.BaseExtension`` instance registered under + ``"arrow.uuid"`` (matches the Arrow extension name, not the + logical type name). + """ + if LogicalUUID._polars_ext is None: + LogicalUUID._polars_ext = LogicalUUID._polars_ext_class() + return LogicalUUID._polars_ext + + def python_to_storage(self, value: Any) -> bytes: + """Convert a ``uuid.UUID`` to its 16-byte binary representation. + + Args: + value: A ``uuid.UUID`` instance. + + Returns: + A 16-byte ``bytes`` object (big-endian byte order, as per + ``uuid.UUID.bytes``). + """ + return value.bytes + + def storage_to_python(self, storage_value: Any) -> _uuid_module.UUID: + """Reconstruct a ``uuid.UUID`` from its 16-byte binary representation. + + Args: + storage_value: A bytes-like object of length 16. + + Returns: + A ``uuid.UUID`` instance. + """ + return _uuid_module.UUID(bytes=bytes(storage_value)) diff --git a/tests/test_extension_types/test_builtin_logical_types.py b/tests/test_extension_types/test_builtin_logical_types.py index c0b78d68..336401a8 100644 --- a/tests/test_extension_types/test_builtin_logical_types.py +++ b/tests/test_extension_types/test_builtin_logical_types.py @@ -155,3 +155,99 @@ def test_logical_upath_python_to_storage_returns_string(): result = lt.python_to_storage(UPath("s3://bucket/key")) assert isinstance(result, str) assert result == "s3://bucket/key" + + +# --------------------------------------------------------------------------- +# LogicalUUID tests +# --------------------------------------------------------------------------- + + +def test_logical_uuid_isinstance_logical_type(): + """LogicalUUID() satisfies the LogicalType runtime-checkable protocol.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + assert isinstance(LogicalUUID(), LogicalType) + + +def test_logical_uuid_logical_type_name(): + """logical_type_name is 'uuid.UUID', not the Arrow extension name.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + assert LogicalUUID().logical_type_name == "uuid.UUID" + + +def test_logical_uuid_python_type(): + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + assert LogicalUUID().python_type is uuid_module.UUID + + +def test_logical_uuid_arrow_ext_name_is_arrow_uuid(): + """Arrow extension name is 'arrow.uuid', intentionally different from logical_type_name.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + assert lt.get_arrow_extension_type().extension_name == "arrow.uuid" + assert lt.logical_type_name != lt.get_arrow_extension_type().extension_name + + +def test_logical_uuid_get_arrow_extension_type_returns_pa_uuid(): + """get_arrow_extension_type() returns PyArrow's built-in pa.uuid() type.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + assert lt.get_arrow_extension_type() == pa.uuid() + + +def test_logical_uuid_get_arrow_extension_type_is_cached(): + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + assert lt.get_arrow_extension_type() is lt.get_arrow_extension_type() + + +def test_logical_uuid_get_polars_extension_type_is_cached(): + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + assert lt.get_polars_extension_type() is lt.get_polars_extension_type() + + +def test_logical_uuid_round_trip(): + """UUID -> python_to_storage -> storage_to_python -> UUID is identity.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + u = uuid_module.uuid4() + assert lt.storage_to_python(lt.python_to_storage(u)) == u + + +def test_logical_uuid_python_to_storage_returns_bytes(): + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + u = uuid_module.UUID("12345678-1234-5678-1234-567812345678") + result = lt.python_to_storage(u) + assert isinstance(result, bytes) + assert len(result) == 16 + + +def test_logical_uuid_storage_to_python_accepts_bytes(): + """storage_to_python works when storage_value is plain bytes.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + u = uuid_module.UUID("12345678-1234-5678-1234-567812345678") + recovered = lt.storage_to_python(u.bytes) + assert recovered == u + + +def test_logical_uuid_registration_does_not_raise(): + """Registering LogicalUUID succeeds even though pa.uuid() is already in PyArrow's registry.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + registry = LogicalTypeRegistry() + lt = LogicalUUID() + registry.register(lt) # should NOT raise + assert registry.get_by_logical_name("uuid.UUID") is lt + assert registry.get_by_arrow_extension_name("arrow.uuid") is lt From e5fb20b56cf2c1c5c1091c5aaf3619dc531093d3 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 22:47:32 +0000 Subject: [PATCH 049/206] feat(contexts): add logical_type_registry to DataContext and v0.1 context --- src/orcapod/contexts/__init__.py | 11 ++ src/orcapod/contexts/core.py | 3 + .../contexts/data/schemas/context_schema.json | 7 +- src/orcapod/contexts/data/v0.1.json | 19 +++ src/orcapod/contexts/registry.py | 2 + .../test_builtin_logical_types.py | 109 ++++++++++++++++++ 6 files changed, 150 insertions(+), 1 deletion(-) diff --git a/src/orcapod/contexts/__init__.py b/src/orcapod/contexts/__init__.py index 1694df67..b36c60f9 100644 --- a/src/orcapod/contexts/__init__.py +++ b/src/orcapod/contexts/__init__.py @@ -27,6 +27,7 @@ from typing import Any +from orcapod.extension_types.registry import LogicalTypeRegistry from orcapod.protocols import hashing_protocols as hp from orcapod.protocols import semantic_types_protocols as sp @@ -168,6 +169,15 @@ def get_default_context() -> DataContext: return resolve_context() +def get_default_logical_type_registry() -> LogicalTypeRegistry: + """Get the default logical type registry. + + Returns: + ``LogicalTypeRegistry`` instance from the default context. + """ + return get_default_context().logical_type_registry + + def get_default_semantic_hasher() -> hp.SemanticHasherProtocol: """ Get the default semantic hasher. @@ -236,6 +246,7 @@ def create_registry( "get_available_contexts", "get_context_info", "get_default_context", + "get_default_logical_type_registry", # Management functions "set_default_context_version", "validate_all_contexts", diff --git a/src/orcapod/contexts/core.py b/src/orcapod/contexts/core.py index cd6b1cf5..9cf53bdc 100644 --- a/src/orcapod/contexts/core.py +++ b/src/orcapod/contexts/core.py @@ -7,6 +7,7 @@ from dataclasses import dataclass +from orcapod.extension_types.registry import LogicalTypeRegistry from orcapod.hashing.semantic_hashing.type_handler_registry import TypeHandlerRegistry from orcapod.protocols.hashing_protocols import ( ArrowHasherProtocol, @@ -32,6 +33,7 @@ class DataContext: arrow_hasher: Arrow table hasher for this context semantic_hasher: General semantic hasher for this context type_handler_registry: Registry of TypeHandlerProtocol instances for SemanticHasherProtocol + logical_type_registry: Registry of LogicalType instances (Path, UPath, UUID, etc.) """ context_key: str @@ -41,6 +43,7 @@ class DataContext: arrow_hasher: ArrowHasherProtocol semantic_hasher: SemanticHasherProtocol # this is the currently the JSON hasher type_handler_registry: TypeHandlerRegistry + logical_type_registry: LogicalTypeRegistry class ContextValidationError(Exception): diff --git a/src/orcapod/contexts/data/schemas/context_schema.json b/src/orcapod/contexts/data/schemas/context_schema.json index b2380124..909ca8dd 100644 --- a/src/orcapod/contexts/data/schemas/context_schema.json +++ b/src/orcapod/contexts/data/schemas/context_schema.json @@ -12,7 +12,8 @@ "type_converter", "arrow_hasher", "semantic_hasher", - "type_handler_registry" + "type_handler_registry", + "logical_type_registry" ], "properties": { "context_key": { @@ -63,6 +64,10 @@ "$ref": "#/$defs/objectspec", "description": "ObjectSpec for the TypeHandlerRegistry used by the semantic hasher" }, + "logical_type_registry": { + "$ref": "#/$defs/objectspec", + "description": "ObjectSpec for the LogicalTypeRegistry (Path, UPath, UUID built-ins)" + }, "file_hasher": { "$ref": "#/$defs/objectspec", "description": "ObjectSpec for the file content hasher (used by PathContentHandler)" diff --git a/src/orcapod/contexts/data/v0.1.json b/src/orcapod/contexts/data/v0.1.json index 2fb31a70..e47d793b 100644 --- a/src/orcapod/contexts/data/v0.1.json +++ b/src/orcapod/contexts/data/v0.1.json @@ -82,6 +82,25 @@ } } }, + "logical_type_registry": { + "_class": "orcapod.extension_types.registry.LogicalTypeRegistry", + "_config": { + "logical_types": [ + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUUID", + "_config": {} + } + ] + } + }, "metadata": { "created_date": "2025-08-01", "author": "OrcaPod Core Team", diff --git a/src/orcapod/contexts/registry.py b/src/orcapod/contexts/registry.py index 80182ac3..94eade63 100644 --- a/src/orcapod/contexts/registry.py +++ b/src/orcapod/contexts/registry.py @@ -152,6 +152,7 @@ def _load_spec_file(self, json_file: Path) -> None: "arrow_hasher", "semantic_hasher", "type_handler_registry", + "logical_type_registry", ] missing_fields = [field for field in required_fields if field not in spec] if missing_fields: @@ -301,6 +302,7 @@ def _create_context_from_spec(self, spec: dict[str, Any]) -> DataContext: arrow_hasher=ref_lut["arrow_hasher"], semantic_hasher=ref_lut["semantic_hasher"], type_handler_registry=ref_lut["type_handler_registry"], + logical_type_registry=ref_lut["logical_type_registry"], ) except Exception as e: diff --git a/tests/test_extension_types/test_builtin_logical_types.py b/tests/test_extension_types/test_builtin_logical_types.py index 336401a8..ae83b686 100644 --- a/tests/test_extension_types/test_builtin_logical_types.py +++ b/tests/test_extension_types/test_builtin_logical_types.py @@ -251,3 +251,112 @@ def test_logical_uuid_registration_does_not_raise(): registry.register(lt) # should NOT raise assert registry.get_by_logical_name("uuid.UUID") is lt assert registry.get_by_arrow_extension_name("arrow.uuid") is lt + + +# --------------------------------------------------------------------------- +# Default context integration tests +# --------------------------------------------------------------------------- + + +def test_default_context_has_logical_type_registry(): + """DataContext has a logical_type_registry attribute.""" + from orcapod.contexts import get_default_context + + ctx = get_default_context() + assert hasattr(ctx, "logical_type_registry") + + +def test_default_context_registry_has_logical_path(): + """Default registry returns LogicalPath for 'pathlib.Path'.""" + from orcapod.contexts import get_default_context + from orcapod.extension_types.builtin_logical_types import LogicalPath + + registry = get_default_context().logical_type_registry + lt = registry.get_by_logical_name("pathlib.Path") + assert isinstance(lt, LogicalPath) + + +def test_default_context_registry_lookup_by_python_type_path(): + """Default registry routes pathlib.Path to LogicalPath.""" + from orcapod.contexts import get_default_context + from orcapod.extension_types.builtin_logical_types import LogicalPath + + registry = get_default_context().logical_type_registry + lt = registry.get_by_python_type(pathlib.Path) + assert isinstance(lt, LogicalPath) + + +def test_default_context_registry_lookup_by_arrow_name_path(): + """Default registry routes 'pathlib.Path' arrow ext name to LogicalPath.""" + from orcapod.contexts import get_default_context + from orcapod.extension_types.builtin_logical_types import LogicalPath + + registry = get_default_context().logical_type_registry + lt = registry.get_by_arrow_extension_name("pathlib.Path") + assert isinstance(lt, LogicalPath) + + +def test_default_context_registry_has_logical_upath(): + """Default registry returns LogicalUPath for 'upath.UPath'.""" + from orcapod.contexts import get_default_context + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + registry = get_default_context().logical_type_registry + lt = registry.get_by_logical_name("upath.UPath") + assert isinstance(lt, LogicalUPath) + + +def test_default_context_registry_lookup_by_python_type_upath(): + """Default registry routes UPath to LogicalUPath.""" + from orcapod.contexts import get_default_context + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + registry = get_default_context().logical_type_registry + lt = registry.get_by_python_type(UPath) + assert isinstance(lt, LogicalUPath) + + +def test_default_context_registry_has_logical_uuid(): + """Default registry returns LogicalUUID for 'uuid.UUID'.""" + from orcapod.contexts import get_default_context + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + registry = get_default_context().logical_type_registry + lt = registry.get_by_logical_name("uuid.UUID") + assert isinstance(lt, LogicalUUID) + + +def test_default_context_registry_lookup_by_arrow_name_uuid(): + """Default registry routes 'arrow.uuid' arrow ext name to LogicalUUID.""" + from orcapod.contexts import get_default_context + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + registry = get_default_context().logical_type_registry + lt = registry.get_by_arrow_extension_name("arrow.uuid") + assert isinstance(lt, LogicalUUID) + + +def test_default_context_registry_uuid_logical_name_differs_from_arrow_name(): + """The same LogicalUUID instance is found by both 'uuid.UUID' and 'arrow.uuid'.""" + from orcapod.contexts import get_default_context + + registry = get_default_context().logical_type_registry + by_logical = registry.get_by_logical_name("uuid.UUID") + by_arrow = registry.get_by_arrow_extension_name("arrow.uuid") + assert by_logical is by_arrow + + +def test_get_default_logical_type_registry_returns_same_as_context(): + """get_default_logical_type_registry() is the same object as get_default_context().logical_type_registry.""" + from orcapod.contexts import get_default_context, get_default_logical_type_registry + + assert get_default_logical_type_registry() is get_default_context().logical_type_registry + + +def test_default_context_idempotent_registry(): + """Calling get_default_context() twice returns the same LogicalTypeRegistry instance.""" + from orcapod.contexts import get_default_context + + r1 = get_default_context().logical_type_registry + r2 = get_default_context().logical_type_registry + assert r1 is r2 From 1214cfeead6fbfae0ff72302cad7ba47ea984bb8 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 22:51:57 +0000 Subject: [PATCH 050/206] refactor(extension_types): remove default_logical_type_registry module-level variable The module-level default_logical_type_registry is superseded by the DataContext-wired registry accessible via get_default_context().logical_type_registry or get_default_logical_type_registry(). Remove the variable and its 6 stale tests. --- src/orcapod/extension_types/__init__.py | 12 +-- tests/test_extension_types/test_registry.py | 85 --------------------- 2 files changed, 6 insertions(+), 91 deletions(-) diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index 252fceaf..04f7da42 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -3,9 +3,12 @@ This subpackage provides the registry and protocol for logical types that map between Python objects and their Arrow/Polars extension type representation. -The module-level ``default_logical_type_registry`` instance is the process default. -Built-in registrations (``Path``, ``UPath``, ``UUID``) are added by PLT-1656. -``DataContext`` wiring is added by PLT-1660. +Built-in registrations (``LogicalPath``, ``LogicalUPath``, ``LogicalUUID``) are +wired into ``DataContext`` via ``contexts/data/v0.1.json``. The primary access +paths for the default registry are: + +- ``get_default_context().logical_type_registry`` +- ``get_default_logical_type_registry()`` (from ``orcapod.contexts``) """ from __future__ import annotations @@ -14,14 +17,11 @@ from .registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema -default_logical_type_registry = LogicalTypeRegistry() - __all__ = [ "LogicalType", "LogicalTypeRegistry", "make_arrow_extension_type", "make_polars_extension_type", - "default_logical_type_registry", # PLT-1654 "ExtensionTypeInfo", "walk_schema", diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index df000788..345eaf81 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -522,88 +522,3 @@ def test_make_polars_extension_type_with_metadata(): inst = cls() assert inst.ext_name() == name - -# --------------------------------------------------------------------------- -# default_logical_type_registry tests -# --------------------------------------------------------------------------- - -def test_logical_type_registry_module_instance(): - """extension_types.default_logical_type_registry is a LogicalTypeRegistry.""" - from orcapod import extension_types - assert isinstance(extension_types.default_logical_type_registry, LogicalTypeRegistry) - - -def test_default_registry_is_same_object_across_imports(): - """default_logical_type_registry is the same object regardless of import path.""" - from orcapod import extension_types - from orcapod.extension_types import default_logical_type_registry - assert extension_types.default_logical_type_registry is default_logical_type_registry - - -def test_default_registry_register_and_lookup(): - """Registering into default_logical_type_registry makes the type retrievable.""" - from orcapod.extension_types import default_logical_type_registry - - class _LookupTarget: - pass - - lt = _make_stub(py_type=_LookupTarget) - default_logical_type_registry.register(lt) - - assert default_logical_type_registry.get_by_logical_name(lt.logical_type_name) is lt - assert default_logical_type_registry.get_by_python_type(lt.python_type) is lt - assert ( - default_logical_type_registry.get_by_arrow_extension_name( - lt.get_arrow_extension_type().extension_name - ) - is lt - ) - - -def test_default_registry_register_idempotent(): - """Re-registering the same instance into default_logical_type_registry does not raise.""" - from orcapod.extension_types import default_logical_type_registry - - class _IdempotentTarget: - pass - - lt = _make_stub(py_type=_IdempotentTarget) - default_logical_type_registry.register(lt) - default_logical_type_registry.register(lt) # should not raise - assert default_logical_type_registry.get_by_logical_name(lt.logical_type_name) is lt - - -def test_default_registry_populates_arrow_global(): - """Registering into default_logical_type_registry puts the Arrow ext name in PA's global registry.""" - from orcapod.extension_types import default_logical_type_registry - - class _ArrowTarget: - pass - - lt = _make_stub(py_type=_ArrowTarget) - default_logical_type_registry.register(lt) - - with pytest.raises(pa.lib.ArrowKeyError): - pa.register_extension_type(lt.get_arrow_extension_type()) - - -def test_default_registry_populates_polars_global(): - """Registering into default_logical_type_registry makes Polars recognise the extension type.""" - from orcapod.extension_types import default_logical_type_registry - - class _PolarsTarget: - pass - - arrow_name = _unique_name() - lt = _make_stub(arrow_name=arrow_name, py_type=_PolarsTarget) - default_logical_type_registry.register(lt) - - storage_arr = pa.array(["x", "y"], type=pa.large_utf8()) - ext_arr = storage_arr.cast(lt.get_arrow_extension_type()) - - with warnings.catch_warnings(): - warnings.simplefilter("ignore") - pl_series = pl.from_arrow(ext_arr) - - assert isinstance(pl_series.dtype, pl.BaseExtension) - assert pl_series.dtype.ext_name() == arrow_name From 9886e2ff64036fa10399ac25bf0c582bae574a72 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 22:57:13 +0000 Subject: [PATCH 051/206] chore(tests): remove unused imports from test_builtin_logical_types --- tests/test_extension_types/test_builtin_logical_types.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/tests/test_extension_types/test_builtin_logical_types.py b/tests/test_extension_types/test_builtin_logical_types.py index ae83b686..a9f8af01 100644 --- a/tests/test_extension_types/test_builtin_logical_types.py +++ b/tests/test_extension_types/test_builtin_logical_types.py @@ -4,11 +4,8 @@ import pathlib import uuid as uuid_module -import warnings -import polars as pl import pyarrow as pa -import pytest from upath import UPath from orcapod.extension_types.protocols import LogicalType From cb9378514e44aba3d9457467ea45a6c000b5af7c Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 23:14:23 +0000 Subject: [PATCH 052/206] docs(superpowers): add PLT-1656 implementation plan --- ...26-06-14-plt-1656-builtin-logical-types.md | 1511 +++++++++++++++++ 1 file changed, 1511 insertions(+) create mode 100644 superpowers/plans/2026-06-14-plt-1656-builtin-logical-types.md diff --git a/superpowers/plans/2026-06-14-plt-1656-builtin-logical-types.md b/superpowers/plans/2026-06-14-plt-1656-builtin-logical-types.md new file mode 100644 index 00000000..09c01167 --- /dev/null +++ b/superpowers/plans/2026-06-14-plt-1656-builtin-logical-types.md @@ -0,0 +1,1511 @@ +# PLT-1656: Built-in LogicalType Implementations (Path, UPath, UUID) — Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use sensei:subagent-driven-development (recommended) or sensei:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Implement three built-in `LogicalType` classes (`LogicalPath`, `LogicalUPath`, `LogicalUUID`), wire them into `DataContext` via `v0.1.json`, and expose a `get_default_logical_type_registry()` convenience accessor. + +**Architecture:** Each `LogicalType` owns its Arrow/Polars extension type instances via class-level caching. A new `make_polars_extension_type` helper (parallel to the existing `make_arrow_extension_type`) synthesises `pl.BaseExtension` subclasses at runtime. The registry is populated via the existing `parse_objectspec` JSON object spec mechanism so `LogicalTypeRegistry` gains a `logical_types` constructor param. The module-level `default_logical_type_registry` in `extension_types/__init__.py` is removed — the canonical access path becomes `get_default_context().logical_type_registry`. + +**Tech Stack:** Python 3.12+, PyArrow ≥ 20, Polars ≥ 1.36.0, pytest, uv. + +--- + +## File Map + +| File | Action | Responsibility | +|---|---|---| +| `src/orcapod/extension_types/registry.py` | Modify | Add `make_polars_extension_type` helper; add `logical_types` param to `LogicalTypeRegistry.__init__` | +| `src/orcapod/extension_types/__init__.py` | Modify | Export `make_polars_extension_type`; remove `default_logical_type_registry` | +| `src/orcapod/extension_types/builtin_logical_types.py` | **New** | `LogicalPath`, `LogicalUPath`, `LogicalUUID` implementations | +| `src/orcapod/contexts/core.py` | Modify | Add `logical_type_registry: LogicalTypeRegistry` field to `DataContext` | +| `src/orcapod/contexts/registry.py` | Modify | Add `"logical_type_registry"` to required fields; pass it through in `_create_context_from_spec` | +| `src/orcapod/contexts/data/v0.1.json` | Modify | Add `logical_type_registry` object spec entry | +| `src/orcapod/contexts/data/schemas/context_schema.json` | Modify | Add `logical_type_registry` to `required` and `properties` | +| `src/orcapod/contexts/__init__.py` | Modify | Add `get_default_logical_type_registry()` convenience function | +| `tests/test_extension_types/test_registry.py` | Modify | Add tests for `make_polars_extension_type` and `logical_types` param; remove stale `default_logical_type_registry` tests | +| `tests/test_extension_types/test_builtin_logical_types.py` | **New** | Protocol conformance, property values, round-trips, default-context integration tests | + +--- + +### Task 1: `make_polars_extension_type` helper + +**Files:** +- Modify: `src/orcapod/extension_types/registry.py` +- Modify: `src/orcapod/extension_types/__init__.py` +- Modify: `tests/test_extension_types/test_registry.py` + +- [ ] **Step 1: Write the failing tests** + +Add these tests at the end of `tests/test_extension_types/test_registry.py`, before the `# default_logical_type_registry tests` section: + +```python +# --------------------------------------------------------------------------- +# make_polars_extension_type tests +# --------------------------------------------------------------------------- + +from orcapod.extension_types.registry import make_polars_extension_type + + +def test_make_polars_extension_type_returns_class(): + """make_polars_extension_type returns a pl.BaseExtension subclass.""" + cls = make_polars_extension_type("test.MakePolarsExt", pa.large_utf8()) + assert issubclass(cls, pl.BaseExtension) + + +def test_make_polars_extension_type_instance_has_correct_name(): + """Instantiating the returned class yields the correct ext_name.""" + name = _unique_name() + cls = make_polars_extension_type(name, pa.large_utf8()) + inst = cls() + assert inst.ext_name() == name + + +def test_make_polars_extension_type_ext_from_params_returns_instance(): + """ext_from_params classmethod returns an instance of the class.""" + name = _unique_name() + cls = make_polars_extension_type(name, pa.large_utf8()) + inst = cls.ext_from_params(name, pl.String, None) + assert isinstance(inst, cls) + + +def test_make_polars_extension_type_with_binary_storage(): + """make_polars_extension_type works with pa.binary(16) storage (UUID case).""" + name = _unique_name() + cls = make_polars_extension_type(name, pa.binary(16), None) + inst = cls() + assert inst.ext_name() == name + + +def test_make_polars_extension_type_with_metadata(): + """make_polars_extension_type captures metadata in the class.""" + name = _unique_name() + cls = make_polars_extension_type(name, pa.large_utf8(), "test.metadata") + # Instantiating should not raise; ext_name is correct. + inst = cls() + assert inst.ext_name() == name +``` + +- [ ] **Step 2: Run tests to verify they fail** + +```bash +cd /home/kurouto/kurouto-jobs/fccdf92d-a25e-4477-ae00-a1ee2b6dc236/orcapod-python +uv run pytest tests/test_extension_types/test_registry.py::test_make_polars_extension_type_returns_class -v +``` + +Expected: `ImportError` — `make_polars_extension_type` does not exist yet. + +- [ ] **Step 3: Implement `make_polars_extension_type` in `registry.py`** + +Add after `make_arrow_extension_type` (around line 98), before the `LogicalTypeRegistry` class: + +```python +def make_polars_extension_type( + extension_name: str, + arrow_storage_type: pa.DataType, + metadata: str | None = None, +) -> type[pl.BaseExtension]: + """Synthesise and return a ``pl.BaseExtension`` subclass. + + Derives the Polars storage dtype from *arrow_storage_type* via + ``pl.from_arrow``. Returns the *class*; callers instantiate it inside + ``get_polars_extension_type()``. + + The returned class uses the Arrow extension name as its registration name + (the same name passed to ``pl.register_extension_type``), so that Polars + correctly maps Arrow extension columns on read. + + Args: + extension_name: The extension type name used for Polars registration. + Must match the Arrow extension name so Polars can round-trip the + type through Arrow IPC. + arrow_storage_type: The Arrow storage type. Converted once to the + corresponding Polars dtype via ``pl.from_arrow``. + metadata: Optional metadata string stored as ``metadata_str`` in the + Polars extension. Defaults to ``None``. + + Returns: + A ``pl.BaseExtension`` subclass. Call it with no arguments to obtain + an instance suitable for passing to ``pl.register_extension_type`` or + returning from ``get_polars_extension_type()``. + """ + _name = extension_name + _polars_dtype = pl.from_arrow(pa.array([], type=arrow_storage_type)).dtype + _metadata = metadata + + def __init__(self: pl.BaseExtension) -> None: + pl.BaseExtension.__init__(self, _name, _polars_dtype, _metadata) + + @classmethod # type: ignore[misc] + def ext_from_params( + cls: type[pl.BaseExtension], + ext_name: str, + storage_dtype: pl.PolarsDataType, + metadata_str: str | None, + ) -> pl.BaseExtension: + return cls() + + return type( + f"_PolarsExt_{_sanitize(extension_name)}", + (pl.BaseExtension,), + { + "__init__": __init__, + "ext_from_params": ext_from_params, + }, + ) +``` + +- [ ] **Step 4: Export `make_polars_extension_type` from `extension_types/__init__.py`** + +In `src/orcapod/extension_types/__init__.py`, update the import line and `__all__`: + +```python +from .registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type +``` + +And add `"make_polars_extension_type"` to `__all__`: + +```python +__all__ = [ + "LogicalType", + "LogicalTypeRegistry", + "make_arrow_extension_type", + "make_polars_extension_type", + "default_logical_type_registry", + # PLT-1654 + "ExtensionTypeInfo", + "walk_schema", + "walk_field", +] +``` + +- [ ] **Step 5: Run tests to verify they pass** + +```bash +uv run pytest tests/test_extension_types/test_registry.py -k "polars_extension_type" -v +``` + +Expected: All 5 new tests PASS. + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/extension_types/registry.py \ + src/orcapod/extension_types/__init__.py \ + tests/test_extension_types/test_registry.py +git commit -m "feat(extension_types): add make_polars_extension_type helper" +``` + +--- + +### Task 2: `LogicalTypeRegistry` `logical_types` constructor param + +**Files:** +- Modify: `src/orcapod/extension_types/registry.py` +- Modify: `tests/test_extension_types/test_registry.py` + +- [ ] **Step 1: Write the failing tests** + +Add after the existing `test_get_by_arrow_extension_name_miss` test, before the PyArrow global registry tests section: + +```python +# --------------------------------------------------------------------------- +# LogicalTypeRegistry constructor logical_types param tests +# --------------------------------------------------------------------------- + +def test_registry_init_with_logical_types_preregisters(): + """LogicalTypeRegistry(logical_types=[lt]) makes the type immediately retrievable.""" + lt = _make_stub() + registry = LogicalTypeRegistry(logical_types=[lt]) + assert registry.get_by_logical_name(lt.logical_type_name) is lt + assert registry.get_by_python_type(lt.python_type) is lt + assert registry.get_by_arrow_extension_name(lt.get_arrow_extension_type().extension_name) is lt + + +def test_registry_init_with_none_is_empty(): + """LogicalTypeRegistry(logical_types=None) starts empty without error.""" + registry = LogicalTypeRegistry(logical_types=None) + assert registry.get_by_logical_name("anything") is None + + +def test_registry_init_with_empty_list_is_empty(): + """LogicalTypeRegistry(logical_types=[]) starts empty without error.""" + registry = LogicalTypeRegistry(logical_types=[]) + assert registry.get_by_logical_name("anything") is None + + +def test_registry_init_with_multiple_logical_types(): + """LogicalTypeRegistry(logical_types=[lt1, lt2]) registers both.""" + lt1 = _make_stub(py_type=int) + lt2 = _make_stub(py_type=float) + registry = LogicalTypeRegistry(logical_types=[lt1, lt2]) + assert registry.get_by_logical_name(lt1.logical_type_name) is lt1 + assert registry.get_by_logical_name(lt2.logical_type_name) is lt2 +``` + +- [ ] **Step 2: Run tests to verify they fail** + +```bash +uv run pytest tests/test_extension_types/test_registry.py::test_registry_init_with_logical_types_preregisters -v +``` + +Expected: FAIL — `LogicalTypeRegistry.__init__` does not accept `logical_types` argument. + +- [ ] **Step 3: Update `LogicalTypeRegistry.__init__` in `registry.py`** + +Replace the current `__init__` method (lines 121–124): + +```python +# OLD +def __init__(self) -> None: + self._by_logical_name: dict[str, LogicalType] = {} + self._by_arrow_name: dict[str, LogicalType] = {} + self._by_python_type: dict[type, LogicalType] = {} +``` + +With: + +```python +def __init__(self, logical_types: list[LogicalType] | None = None) -> None: + self._by_logical_name: dict[str, LogicalType] = {} + self._by_arrow_name: dict[str, LogicalType] = {} + self._by_python_type: dict[type, LogicalType] = {} + for lt in (logical_types or []): + self.register(lt) +``` + +- [ ] **Step 4: Run tests to verify they pass** + +```bash +uv run pytest tests/test_extension_types/test_registry.py -k "registry_init" -v +``` + +Expected: All 4 new tests PASS. Also run the full registry suite to confirm no regressions: + +```bash +uv run pytest tests/test_extension_types/test_registry.py -v +``` + +Expected: All tests PASS (the last 6 `default_logical_type_registry` tests still reference the old module-level instance and will continue passing for now — they are removed in Task 6). + +- [ ] **Step 5: Commit** + +```bash +git add src/orcapod/extension_types/registry.py \ + tests/test_extension_types/test_registry.py +git commit -m "feat(extension_types): add logical_types constructor param to LogicalTypeRegistry" +``` + +--- + +### Task 3: `LogicalPath` and `LogicalUPath` implementations + +**Files:** +- Create: `src/orcapod/extension_types/builtin_logical_types.py` +- Create: `tests/test_extension_types/test_builtin_logical_types.py` + +- [ ] **Step 1: Create the test file with failing tests for `LogicalPath` and `LogicalUPath`** + +Create `tests/test_extension_types/test_builtin_logical_types.py`: + +```python +"""Tests for built-in LogicalType implementations (LogicalPath, LogicalUPath, LogicalUUID).""" + +from __future__ import annotations + +import pathlib +import uuid as uuid_module +import warnings + +import polars as pl +import pyarrow as pa +import pytest +from upath import UPath + +from orcapod.extension_types.protocols import LogicalType +from orcapod.extension_types.registry import LogicalTypeRegistry + + +# --------------------------------------------------------------------------- +# LogicalPath tests +# --------------------------------------------------------------------------- + + +def test_logical_path_isinstance_logical_type(): + """LogicalPath() satisfies the LogicalType runtime-checkable protocol.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + + assert isinstance(LogicalPath(), LogicalType) + + +def test_logical_path_logical_type_name(): + from orcapod.extension_types.builtin_logical_types import LogicalPath + + assert LogicalPath().logical_type_name == "pathlib.Path" + + +def test_logical_path_python_type(): + from orcapod.extension_types.builtin_logical_types import LogicalPath + + assert LogicalPath().python_type is pathlib.Path + + +def test_logical_path_arrow_ext_name(): + """get_arrow_extension_type().extension_name is 'pathlib.Path'.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + + assert LogicalPath().get_arrow_extension_type().extension_name == "pathlib.Path" + + +def test_logical_path_arrow_ext_storage_type(): + """Arrow extension storage type is pa.large_string().""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + + assert LogicalPath().get_arrow_extension_type().storage_type == pa.large_string() + + +def test_logical_path_get_arrow_extension_type_is_cached(): + """get_arrow_extension_type() returns the same object on repeated calls.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + + lt = LogicalPath() + assert lt.get_arrow_extension_type() is lt.get_arrow_extension_type() + + +def test_logical_path_get_polars_extension_type_is_cached(): + """get_polars_extension_type() returns the same object on repeated calls.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + + lt = LogicalPath() + assert lt.get_polars_extension_type() is lt.get_polars_extension_type() + + +def test_logical_path_round_trip(): + """Path -> python_to_storage -> storage_to_python -> Path is identity.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + + lt = LogicalPath() + p = pathlib.Path("/tmp/foo/bar.txt") + assert lt.storage_to_python(lt.python_to_storage(p)) == p + + +def test_logical_path_python_to_storage_returns_string(): + from orcapod.extension_types.builtin_logical_types import LogicalPath + + lt = LogicalPath() + result = lt.python_to_storage(pathlib.Path("/tmp/test")) + assert isinstance(result, str) + assert result == "/tmp/test" + + +# --------------------------------------------------------------------------- +# LogicalUPath tests +# --------------------------------------------------------------------------- + + +def test_logical_upath_isinstance_logical_type(): + """LogicalUPath() satisfies the LogicalType runtime-checkable protocol.""" + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + assert isinstance(LogicalUPath(), LogicalType) + + +def test_logical_upath_logical_type_name(): + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + assert LogicalUPath().logical_type_name == "upath.UPath" + + +def test_logical_upath_python_type(): + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + assert LogicalUPath().python_type is UPath + + +def test_logical_upath_arrow_ext_name(): + """get_arrow_extension_type().extension_name is 'upath.UPath'.""" + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + assert LogicalUPath().get_arrow_extension_type().extension_name == "upath.UPath" + + +def test_logical_upath_arrow_ext_storage_type(): + """Arrow extension storage type is pa.large_string().""" + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + assert LogicalUPath().get_arrow_extension_type().storage_type == pa.large_string() + + +def test_logical_upath_get_arrow_extension_type_is_cached(): + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + lt = LogicalUPath() + assert lt.get_arrow_extension_type() is lt.get_arrow_extension_type() + + +def test_logical_upath_round_trip(): + """UPath -> python_to_storage -> storage_to_python -> UPath is identity.""" + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + lt = LogicalUPath() + up = UPath("s3://bucket/key/file.txt") + assert lt.storage_to_python(lt.python_to_storage(up)) == up + + +def test_logical_upath_python_to_storage_returns_string(): + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + lt = LogicalUPath() + result = lt.python_to_storage(UPath("s3://bucket/key")) + assert isinstance(result, str) + assert result == "s3://bucket/key" +``` + +- [ ] **Step 2: Run tests to verify they fail** + +```bash +uv run pytest tests/test_extension_types/test_builtin_logical_types.py::test_logical_path_isinstance_logical_type -v +``` + +Expected: `ModuleNotFoundError` — `builtin_logical_types` does not exist yet. + +- [ ] **Step 3: Create `src/orcapod/extension_types/builtin_logical_types.py` with `LogicalPath` and `LogicalUPath`** + +```python +"""Built-in LogicalType implementations for orcapod. + +Provides three built-in logical types registered into the default +``DataContext.logical_type_registry`` via ``contexts/data/v0.1.json``: + +- ``LogicalPath``: maps ``pathlib.Path`` ↔ Arrow large_string extension "pathlib.Path" +- ``LogicalUPath``: maps ``upath.UPath`` ↔ Arrow large_string extension "upath.UPath" +- ``LogicalUUID``: maps ``uuid.UUID`` ↔ PyArrow built-in ``pa.uuid()`` ("arrow.uuid") + +Note: + All imports from orcapod.extension_types use direct submodule paths + (e.g. ``from orcapod.extension_types.registry import ...``) rather than + the package ``__init__`` to avoid circular imports when the context system + loads this module at startup. +""" + +from __future__ import annotations + +import pathlib +import uuid as _uuid_module +from typing import TYPE_CHECKING, Any + +from upath import UPath + +from orcapod.extension_types.registry import make_arrow_extension_type, make_polars_extension_type +from orcapod.utils.lazy_module import LazyModule + +if TYPE_CHECKING: + import polars as pl + import pyarrow as pa +else: + pa = LazyModule("pyarrow") + pl = LazyModule("polars") + + +class LogicalPath: + """Logical type for ``pathlib.Path``. + + Stores paths as Arrow large strings using the custom extension type + ``"pathlib.Path"`` with metadata ``b"orcapod.builtin"``. + + Example: + >>> lt = LogicalPath() + >>> lt.python_to_storage(pathlib.Path("/tmp/foo")) + '/tmp/foo' + >>> lt.storage_to_python('/tmp/foo') + PosixPath('/tmp/foo') + """ + + _arrow_ext_class = make_arrow_extension_type( + "pathlib.Path", pa.large_string(), b"orcapod.builtin" + ) + _arrow_ext: pa.ExtensionType | None = None + _polars_ext_class = make_polars_extension_type( + "pathlib.Path", pa.large_string(), "orcapod.builtin" + ) + _polars_ext: pl.BaseExtension | None = None + + logical_type_name: str = "pathlib.Path" + python_type: type = pathlib.Path + + def get_arrow_extension_type(self) -> pa.ExtensionType: + """Return the Arrow extension type for ``pathlib.Path``. + + Returns: + A cached ``pa.ExtensionType`` instance with extension name + ``"pathlib.Path"`` and storage type ``pa.large_string()``. + """ + if LogicalPath._arrow_ext is None: + LogicalPath._arrow_ext = LogicalPath._arrow_ext_class() + return LogicalPath._arrow_ext + + def get_polars_extension_type(self) -> pl.BaseExtension: + """Return the Polars extension type for ``pathlib.Path``. + + Returns: + A cached ``pl.BaseExtension`` instance registered under + ``"pathlib.Path"``. + """ + if LogicalPath._polars_ext is None: + LogicalPath._polars_ext = LogicalPath._polars_ext_class() + return LogicalPath._polars_ext + + def python_to_storage(self, value: Any) -> str: + """Convert a ``pathlib.Path`` to its string representation. + + Args: + value: A ``pathlib.Path`` instance. + + Returns: + The string form of the path (e.g. ``"/tmp/foo"``). + """ + return str(value) + + def storage_to_python(self, storage_value: Any) -> pathlib.Path: + """Reconstruct a ``pathlib.Path`` from its string representation. + + Args: + storage_value: A string path as stored in Arrow. + + Returns: + A ``pathlib.Path`` instance. + """ + return pathlib.Path(storage_value) + + +class LogicalUPath: + """Logical type for ``upath.UPath``. + + Stores paths as Arrow large strings using the custom extension type + ``"upath.UPath"`` with metadata ``b"orcapod.builtin"``. + + Example: + >>> lt = LogicalUPath() + >>> lt.python_to_storage(UPath("s3://bucket/key")) + 's3://bucket/key' + >>> lt.storage_to_python("s3://bucket/key") + UPath('s3://bucket/key') + """ + + _arrow_ext_class = make_arrow_extension_type( + "upath.UPath", pa.large_string(), b"orcapod.builtin" + ) + _arrow_ext: pa.ExtensionType | None = None + _polars_ext_class = make_polars_extension_type( + "upath.UPath", pa.large_string(), "orcapod.builtin" + ) + _polars_ext: pl.BaseExtension | None = None + + logical_type_name: str = "upath.UPath" + python_type: type = UPath + + def get_arrow_extension_type(self) -> pa.ExtensionType: + """Return the Arrow extension type for ``upath.UPath``. + + Returns: + A cached ``pa.ExtensionType`` instance with extension name + ``"upath.UPath"`` and storage type ``pa.large_string()``. + """ + if LogicalUPath._arrow_ext is None: + LogicalUPath._arrow_ext = LogicalUPath._arrow_ext_class() + return LogicalUPath._arrow_ext + + def get_polars_extension_type(self) -> pl.BaseExtension: + """Return the Polars extension type for ``upath.UPath``. + + Returns: + A cached ``pl.BaseExtension`` instance registered under + ``"upath.UPath"``. + """ + if LogicalUPath._polars_ext is None: + LogicalUPath._polars_ext = LogicalUPath._polars_ext_class() + return LogicalUPath._polars_ext + + def python_to_storage(self, value: Any) -> str: + """Convert a ``upath.UPath`` to its string representation. + + Args: + value: A ``upath.UPath`` instance. + + Returns: + The string form of the path (e.g. ``"s3://bucket/key"``). + """ + return str(value) + + def storage_to_python(self, storage_value: Any) -> UPath: + """Reconstruct a ``upath.UPath`` from its string representation. + + Args: + storage_value: A string path as stored in Arrow. + + Returns: + A ``upath.UPath`` instance. + """ + return UPath(storage_value) +``` + +- [ ] **Step 4: Run tests to verify they pass** + +```bash +uv run pytest tests/test_extension_types/test_builtin_logical_types.py -k "logical_path or logical_upath" -v +``` + +Expected: All `LogicalPath` and `LogicalUPath` tests PASS. + +- [ ] **Step 5: Commit** + +```bash +git add src/orcapod/extension_types/builtin_logical_types.py \ + tests/test_extension_types/test_builtin_logical_types.py +git commit -m "feat(extension_types): implement LogicalPath and LogicalUPath" +``` + +--- + +### Task 4: `LogicalUUID` implementation + +**Files:** +- Modify: `src/orcapod/extension_types/builtin_logical_types.py` +- Modify: `tests/test_extension_types/test_builtin_logical_types.py` + +- [ ] **Step 1: Write the failing tests for `LogicalUUID`** + +Append to `tests/test_extension_types/test_builtin_logical_types.py`: + +```python +# --------------------------------------------------------------------------- +# LogicalUUID tests +# --------------------------------------------------------------------------- + + +def test_logical_uuid_isinstance_logical_type(): + """LogicalUUID() satisfies the LogicalType runtime-checkable protocol.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + assert isinstance(LogicalUUID(), LogicalType) + + +def test_logical_uuid_logical_type_name(): + """logical_type_name is 'uuid.UUID', not the Arrow extension name.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + assert LogicalUUID().logical_type_name == "uuid.UUID" + + +def test_logical_uuid_python_type(): + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + assert LogicalUUID().python_type is uuid_module.UUID + + +def test_logical_uuid_arrow_ext_name_is_arrow_uuid(): + """Arrow extension name is 'arrow.uuid', intentionally different from logical_type_name.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + assert lt.get_arrow_extension_type().extension_name == "arrow.uuid" + assert lt.logical_type_name != lt.get_arrow_extension_type().extension_name + + +def test_logical_uuid_get_arrow_extension_type_returns_pa_uuid(): + """get_arrow_extension_type() returns PyArrow's built-in pa.uuid() type.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + assert lt.get_arrow_extension_type() == pa.uuid() + + +def test_logical_uuid_get_arrow_extension_type_is_cached(): + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + assert lt.get_arrow_extension_type() is lt.get_arrow_extension_type() + + +def test_logical_uuid_get_polars_extension_type_is_cached(): + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + assert lt.get_polars_extension_type() is lt.get_polars_extension_type() + + +def test_logical_uuid_round_trip(): + """UUID -> python_to_storage -> storage_to_python -> UUID is identity.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + u = uuid_module.uuid4() + assert lt.storage_to_python(lt.python_to_storage(u)) == u + + +def test_logical_uuid_python_to_storage_returns_bytes(): + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + u = uuid_module.UUID("12345678-1234-5678-1234-567812345678") + result = lt.python_to_storage(u) + assert isinstance(result, bytes) + assert len(result) == 16 + + +def test_logical_uuid_storage_to_python_accepts_bytes(): + """storage_to_python works when storage_value is plain bytes.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + u = uuid_module.UUID("12345678-1234-5678-1234-567812345678") + recovered = lt.storage_to_python(u.bytes) + assert recovered == u + + +def test_logical_uuid_registration_does_not_raise(): + """Registering LogicalUUID succeeds even though pa.uuid() is already in PyArrow's registry.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + registry = LogicalTypeRegistry() + lt = LogicalUUID() + registry.register(lt) # should NOT raise + assert registry.get_by_logical_name("uuid.UUID") is lt + assert registry.get_by_arrow_extension_name("arrow.uuid") is lt +``` + +- [ ] **Step 2: Run tests to verify they fail** + +```bash +uv run pytest tests/test_extension_types/test_builtin_logical_types.py::test_logical_uuid_isinstance_logical_type -v +``` + +Expected: `ImportError` — `LogicalUUID` does not exist yet. + +- [ ] **Step 3: Add `LogicalUUID` to `builtin_logical_types.py`** + +Append to the end of `src/orcapod/extension_types/builtin_logical_types.py`: + +```python +class LogicalUUID: + """Logical type for ``uuid.UUID``. + + Uses PyArrow's built-in ``pa.uuid()`` extension type (``"arrow.uuid"``) + which stores UUID values as 16-byte binary (``pa.binary(16)``). + + Note: + ``logical_type_name`` (``"uuid.UUID"``) intentionally differs from + the Arrow extension name (``"arrow.uuid"``). The + ``LogicalTypeRegistry`` stores both bindings so that lookups by + either key resolve to this same instance. + + Example: + >>> import uuid + >>> lt = LogicalUUID() + >>> u = uuid.uuid4() + >>> lt.storage_to_python(lt.python_to_storage(u)) == u + True + """ + + _arrow_ext: pa.ExtensionType | None = None + _polars_ext_class = make_polars_extension_type("arrow.uuid", pa.binary(16), None) + _polars_ext: pl.BaseExtension | None = None + + logical_type_name: str = "uuid.UUID" + python_type: type = _uuid_module.UUID + + def get_arrow_extension_type(self) -> pa.ExtensionType: + """Return PyArrow's built-in ``pa.uuid()`` extension type. + + Returns: + A cached ``pa.uuid()`` instance (Arrow extension name ``"arrow.uuid"``, + storage type ``pa.binary(16)``). + """ + if LogicalUUID._arrow_ext is None: + LogicalUUID._arrow_ext = pa.uuid() + return LogicalUUID._arrow_ext + + def get_polars_extension_type(self) -> pl.BaseExtension: + """Return the Polars extension type for ``arrow.uuid``. + + Returns: + A cached ``pl.BaseExtension`` instance registered under + ``"arrow.uuid"`` (matches the Arrow extension name, not the + logical type name). + """ + if LogicalUUID._polars_ext is None: + LogicalUUID._polars_ext = LogicalUUID._polars_ext_class() + return LogicalUUID._polars_ext + + def python_to_storage(self, value: Any) -> bytes: + """Convert a ``uuid.UUID`` to its 16-byte binary representation. + + Args: + value: A ``uuid.UUID`` instance. + + Returns: + A 16-byte ``bytes`` object (big-endian byte order, as per + ``uuid.UUID.bytes``). + """ + return value.bytes + + def storage_to_python(self, storage_value: Any) -> _uuid_module.UUID: + """Reconstruct a ``uuid.UUID`` from its 16-byte binary representation. + + Args: + storage_value: A bytes-like object of length 16. + + Returns: + A ``uuid.UUID`` instance. + """ + return _uuid_module.UUID(bytes=bytes(storage_value)) +``` + +- [ ] **Step 4: Run tests to verify they pass** + +```bash +uv run pytest tests/test_extension_types/test_builtin_logical_types.py -v +``` + +Expected: All tests in the file PASS (LogicalPath, LogicalUPath, and LogicalUUID). + +- [ ] **Step 5: Commit** + +```bash +git add src/orcapod/extension_types/builtin_logical_types.py \ + tests/test_extension_types/test_builtin_logical_types.py +git commit -m "feat(extension_types): implement LogicalUUID" +``` + +--- + +### Task 5: Wire built-in types into `DataContext` + +**Files:** +- Modify: `src/orcapod/contexts/core.py` +- Modify: `src/orcapod/contexts/registry.py` +- Modify: `src/orcapod/contexts/data/v0.1.json` +- Modify: `src/orcapod/contexts/data/schemas/context_schema.json` +- Modify: `src/orcapod/contexts/__init__.py` +- Modify: `tests/test_extension_types/test_builtin_logical_types.py` + +This task wires everything together. The integration tests are written first, but they cannot pass until the DataContext and JSON spec are updated. Do all the sub-steps in a single commit. + +- [ ] **Step 1: Write the failing integration tests** + +Append to `tests/test_extension_types/test_builtin_logical_types.py`: + +```python +# --------------------------------------------------------------------------- +# Default context integration tests +# --------------------------------------------------------------------------- + + +def test_default_context_has_logical_type_registry(): + """DataContext has a logical_type_registry attribute.""" + from orcapod.contexts import get_default_context + + ctx = get_default_context() + assert hasattr(ctx, "logical_type_registry") + + +def test_default_context_registry_has_logical_path(): + """Default registry returns LogicalPath for 'pathlib.Path'.""" + from orcapod.contexts import get_default_context + from orcapod.extension_types.builtin_logical_types import LogicalPath + + registry = get_default_context().logical_type_registry + lt = registry.get_by_logical_name("pathlib.Path") + assert isinstance(lt, LogicalPath) + + +def test_default_context_registry_lookup_by_python_type_path(): + """Default registry routes pathlib.Path to LogicalPath.""" + from orcapod.contexts import get_default_context + from orcapod.extension_types.builtin_logical_types import LogicalPath + + registry = get_default_context().logical_type_registry + lt = registry.get_by_python_type(pathlib.Path) + assert isinstance(lt, LogicalPath) + + +def test_default_context_registry_lookup_by_arrow_name_path(): + """Default registry routes 'pathlib.Path' arrow ext name to LogicalPath.""" + from orcapod.contexts import get_default_context + from orcapod.extension_types.builtin_logical_types import LogicalPath + + registry = get_default_context().logical_type_registry + lt = registry.get_by_arrow_extension_name("pathlib.Path") + assert isinstance(lt, LogicalPath) + + +def test_default_context_registry_has_logical_upath(): + """Default registry returns LogicalUPath for 'upath.UPath'.""" + from orcapod.contexts import get_default_context + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + registry = get_default_context().logical_type_registry + lt = registry.get_by_logical_name("upath.UPath") + assert isinstance(lt, LogicalUPath) + + +def test_default_context_registry_lookup_by_python_type_upath(): + """Default registry routes UPath to LogicalUPath.""" + from orcapod.contexts import get_default_context + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + registry = get_default_context().logical_type_registry + lt = registry.get_by_python_type(UPath) + assert isinstance(lt, LogicalUPath) + + +def test_default_context_registry_has_logical_uuid(): + """Default registry returns LogicalUUID for 'uuid.UUID'.""" + from orcapod.contexts import get_default_context + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + registry = get_default_context().logical_type_registry + lt = registry.get_by_logical_name("uuid.UUID") + assert isinstance(lt, LogicalUUID) + + +def test_default_context_registry_lookup_by_arrow_name_uuid(): + """Default registry routes 'arrow.uuid' arrow ext name to LogicalUUID.""" + from orcapod.contexts import get_default_context + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + registry = get_default_context().logical_type_registry + lt = registry.get_by_arrow_extension_name("arrow.uuid") + assert isinstance(lt, LogicalUUID) + + +def test_default_context_registry_uuid_logical_name_differs_from_arrow_name(): + """The same LogicalUUID instance is found by both 'uuid.UUID' and 'arrow.uuid'.""" + from orcapod.contexts import get_default_context + + registry = get_default_context().logical_type_registry + by_logical = registry.get_by_logical_name("uuid.UUID") + by_arrow = registry.get_by_arrow_extension_name("arrow.uuid") + assert by_logical is by_arrow + + +def test_get_default_logical_type_registry_returns_same_as_context(): + """get_default_logical_type_registry() is the same object as get_default_context().logical_type_registry.""" + from orcapod.contexts import get_default_context, get_default_logical_type_registry + + assert get_default_logical_type_registry() is get_default_context().logical_type_registry + + +def test_default_context_idempotent_registry(): + """Calling get_default_context() twice returns the same LogicalTypeRegistry instance.""" + from orcapod.contexts import get_default_context + + r1 = get_default_context().logical_type_registry + r2 = get_default_context().logical_type_registry + assert r1 is r2 +``` + +- [ ] **Step 2: Run tests to verify they fail** + +```bash +uv run pytest tests/test_extension_types/test_builtin_logical_types.py::test_default_context_has_logical_type_registry -v +``` + +Expected: FAIL — `DataContext` has no `logical_type_registry` attribute. + +- [ ] **Step 3: Add `logical_type_registry` field to `DataContext` in `core.py`** + +Current `core.py` imports (lines 1–16): + +```python +""" +Core data structures and exceptions for the OrcaPod context system. +... +""" + +from dataclasses import dataclass + +from orcapod.hashing.semantic_hashing.type_handler_registry import TypeHandlerRegistry +from orcapod.protocols.hashing_protocols import ( + ArrowHasherProtocol, + SemanticHasherProtocol, +) +from orcapod.protocols.semantic_types_protocols import TypeConverterProtocol +``` + +Add one import and one field. The final `core.py` content: + +```python +""" +Core data structures and exceptions for the OrcaPod context system. + +This module defines the basic types and exceptions used throughout +the context management system. +""" + +from dataclasses import dataclass + +from orcapod.extension_types.registry import LogicalTypeRegistry +from orcapod.hashing.semantic_hashing.type_handler_registry import TypeHandlerRegistry +from orcapod.protocols.hashing_protocols import ( + ArrowHasherProtocol, + SemanticHasherProtocol, +) +from orcapod.protocols.semantic_types_protocols import TypeConverterProtocol + + +@dataclass +class DataContext: + """ + Data context containing all versioned components needed for data interpretation. + + A DataContext represents a specific version of the OrcaPod system configuration, + including semantic type registries, hashers, and other components that affect + how data is processed and interpreted. + + Attributes: + context_key: Unique identifier (e.g., "std:v0.1:default") + version: Version string (e.g., "v0.1") + description: Human-readable description of this context + semantic_type_registry: Registry of semantic type converters + arrow_hasher: Arrow table hasher for this context + semantic_hasher: General semantic hasher for this context + type_handler_registry: Registry of TypeHandlerProtocol instances for SemanticHasherProtocol + logical_type_registry: Registry of LogicalType instances (Path, UPath, UUID, etc.) + """ + + context_key: str + version: str + description: str + type_converter: TypeConverterProtocol + arrow_hasher: ArrowHasherProtocol + semantic_hasher: SemanticHasherProtocol # this is the currently the JSON hasher + type_handler_registry: TypeHandlerRegistry + logical_type_registry: LogicalTypeRegistry + + +class ContextValidationError(Exception): + """Raised when context validation fails.""" + + pass + + +class ContextResolutionError(Exception): + """Raised when context cannot be resolved.""" + + pass +``` + +- [ ] **Step 4: Update `contexts/registry.py` — add `logical_type_registry` to required fields and `_create_context_from_spec`** + +In `_load_spec_file` (around line 148), add `"logical_type_registry"` to `required_fields`: + +```python +required_fields = [ + "context_key", + "version", + "type_converter", + "arrow_hasher", + "semantic_hasher", + "type_handler_registry", + "logical_type_registry", +] +``` + +In `_create_context_from_spec` (around line 296), add `logical_type_registry` to the `DataContext(...)` call: + +```python +return DataContext( + context_key=context_key, + version=version, + description=description, + type_converter=ref_lut["type_converter"], + arrow_hasher=ref_lut["arrow_hasher"], + semantic_hasher=ref_lut["semantic_hasher"], + type_handler_registry=ref_lut["type_handler_registry"], + logical_type_registry=ref_lut["logical_type_registry"], +) +``` + +- [ ] **Step 5: Add `logical_type_registry` entry to `v0.1.json`** + +In `src/orcapod/contexts/data/v0.1.json`, add the following JSON block before the `"metadata"` key (after the `"semantic_hasher"` block): + +```json + "logical_type_registry": { + "_class": "orcapod.extension_types.registry.LogicalTypeRegistry", + "_config": { + "logical_types": [ + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUUID", + "_config": {} + } + ] + } + }, +``` + +The full updated `v0.1.json` after the edit: + +```json +{ + "context_key": "std:v0.1:default", + "version": "v0.1", + "description": "Initial stable release with basic Path semantic type support", + "file_hasher": { + "_class": "orcapod.hashing.file_hashers.BasicFileHasher", + "_config": { + "algorithm": "sha256" + } + }, + "semantic_registry": { + "_class": "orcapod.semantic_types.semantic_registry.SemanticTypeRegistry", + "_config": { + "converters": { + "upath": { + "_class": "orcapod.semantic_types.semantic_struct_converters.UPathStructConverter", + "_config": { + "file_hasher": {"_ref": "file_hasher"} + } + }, + "path": { + "_class": "orcapod.semantic_types.semantic_struct_converters.PythonPathStructConverter", + "_config": { + "file_hasher": {"_ref": "file_hasher"} + } + } + } + } + }, + "arrow_hasher": { + "_class": "orcapod.hashing.arrow_hashers.StarfixArrowHasher", + "_config": { + "hasher_id": "arrow_v0.1", + "semantic_registry": { + "_ref": "semantic_registry" + } + } + }, + "type_converter": { + "_class": "orcapod.semantic_types.universal_converter.UniversalTypeConverter", + "_config": { + "semantic_registry": { + "_ref": "semantic_registry" + } + } + }, + "function_info_extractor": { + "_class": "orcapod.hashing.semantic_hashing.function_info_extractors.FunctionSignatureExtractor", + "_config": { + "include_module": true, + "include_defaults": true + } + }, + "type_handler_registry": { + "_class": "orcapod.hashing.semantic_hashing.type_handler_registry.TypeHandlerRegistry", + "_config": { + "handlers": [ + [{"_type": "builtins.bytes"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesHandler", "_config": {}}], + [{"_type": "builtins.bytearray"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesHandler", "_config": {}}], + [{"_type": "pathlib.Path"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.PathContentHandler", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], + [{"_type": "upath.core.UPath"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UPathContentHandler", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], + [{"_type": "uuid.UUID"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UUIDHandler", "_config": {}}], + [{"_type": "types.FunctionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionHandler", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "types.BuiltinFunctionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionHandler", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "types.MethodType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionHandler", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "builtins.type"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.TypeObjectHandler", "_config": {}}], + [{"_type": "types.GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasHandler", "_config": {}}], + [{"_type": "types.UnionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UnionTypeHandler", "_config": {}}], + [{"_type": "typing._GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasHandler", "_config": {}}], + [{"_type": "typing._SpecialForm"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.SpecialFormHandler", "_config": {}}], + [{"_type": "pyarrow.Table"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.ArrowTableHandler", "_config": {"arrow_hasher": {"_ref": "arrow_hasher"}}}], + [{"_type": "pyarrow.RecordBatch"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.ArrowTableHandler", "_config": {"arrow_hasher": {"_ref": "arrow_hasher"}}}] + ] + } + }, + "semantic_hasher": { + "_class": "orcapod.hashing.semantic_hashing.semantic_hasher.BaseSemanticHasher", + "_config": { + "hasher_id": "semantic_v0.1", + "type_handler_registry": { + "_ref": "type_handler_registry" + } + } + }, + "logical_type_registry": { + "_class": "orcapod.extension_types.registry.LogicalTypeRegistry", + "_config": { + "logical_types": [ + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUUID", + "_config": {} + } + ] + } + }, + "metadata": { + "created_date": "2025-08-01", + "author": "OrcaPod Core Team", + "changelog": [ + "Initial release with Path semantic type support", + "Basic SHA-256 hashing for files and objects", + "Arrow logical serialization method", + "Introduced arrow_v0.1 StarfixArrowHasher using starfix ArrowDigester for cross-language-compatible Arrow hashing" + ] + } +} +``` + +- [ ] **Step 6: Add `logical_type_registry` to `context_schema.json`** + +In `src/orcapod/contexts/data/schemas/context_schema.json`: + +Add `"logical_type_registry"` to the `"required"` array (after `"type_handler_registry"`): + +```json +"required": [ + "context_key", + "version", + "semantic_registry", + "type_converter", + "arrow_hasher", + "semantic_hasher", + "type_handler_registry", + "logical_type_registry" +], +``` + +Add `"logical_type_registry"` entry to the `"properties"` object (after `"type_handler_registry"`): + +```json +"logical_type_registry": { + "$ref": "#/$defs/objectspec", + "description": "ObjectSpec for the LogicalTypeRegistry (Path, UPath, UUID built-ins)" +}, +``` + +- [ ] **Step 7: Add `get_default_logical_type_registry()` to `contexts/__init__.py`** + +In `src/orcapod/contexts/__init__.py`, add after `get_default_type_converter()`: + +```python +def get_default_logical_type_registry() -> "LogicalTypeRegistry": + """Get the default logical type registry. + + Returns: + ``LogicalTypeRegistry`` instance from the default context. + """ + return get_default_context().logical_type_registry +``` + +Add the import at the top of the file (after the `from orcapod.protocols` imports): + +```python +from orcapod.extension_types.registry import LogicalTypeRegistry +``` + +Add `"get_default_logical_type_registry"` to `__all__`. + +The updated `__all__` in `contexts/__init__.py`: + +```python +__all__ = [ + # Core types + "DataContext", + "ContextValidationError", + "ContextResolutionError", + # Main functions + "resolve_context", + "get_available_contexts", + "get_context_info", + "get_default_context", + # Convenience accessors + "get_default_semantic_hasher", + "get_default_arrow_hasher", + "get_default_type_converter", + "get_default_logical_type_registry", + # Management functions + "set_default_context_version", + "validate_all_contexts", + "reload_contexts", + # Advanced usage + "create_registry", + "JSONDataContextRegistry", +] +``` + +- [ ] **Step 8: Run the integration tests** + +```bash +uv run pytest tests/test_extension_types/test_builtin_logical_types.py -v +``` + +Expected: All tests PASS, including the new integration tests. + +- [ ] **Step 9: Run the full test suite to check for regressions** + +```bash +uv run pytest tests/ -v --tb=short +``` + +Expected: All previously-passing tests still PASS. The 6 `default_logical_type_registry` tests in `test_registry.py` still pass (the module-level variable is still there; we remove it next). + +- [ ] **Step 10: Commit** + +```bash +git add src/orcapod/contexts/core.py \ + src/orcapod/contexts/registry.py \ + src/orcapod/contexts/data/v0.1.json \ + src/orcapod/contexts/data/schemas/context_schema.json \ + src/orcapod/contexts/__init__.py \ + tests/test_extension_types/test_builtin_logical_types.py +git commit -m "feat(contexts): add logical_type_registry to DataContext and v0.1 context" +``` + +--- + +### Task 6: Remove `default_logical_type_registry` and clean up stale tests + +**Files:** +- Modify: `src/orcapod/extension_types/__init__.py` +- Modify: `tests/test_extension_types/test_registry.py` + +The module-level `default_logical_type_registry` in `extension_types/__init__.py` is replaced by the context-scoped registry. This task removes it and deletes the 6 tests that relied on it. + +- [ ] **Step 1: Remove `default_logical_type_registry` from `extension_types/__init__.py`** + +Replace the current content of `src/orcapod/extension_types/__init__.py`: + +```python +"""Arrow/Polars extension type system for orcapod. + +This subpackage provides the registry and protocol for logical types that map +between Python objects and their Arrow/Polars extension type representation. + +Built-in registrations (``LogicalPath``, ``LogicalUPath``, ``LogicalUUID``) are +wired into ``DataContext`` via ``contexts/data/v0.1.json``. The primary access +path for the default registry is: + +- ``get_default_context().logical_type_registry`` +- ``get_default_logical_type_registry()`` (from ``orcapod.contexts``) +""" + +from __future__ import annotations + +from .protocols import LogicalType +from .registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type +from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema + +__all__ = [ + "LogicalType", + "LogicalTypeRegistry", + "make_arrow_extension_type", + "make_polars_extension_type", + # PLT-1654 + "ExtensionTypeInfo", + "walk_schema", + "walk_field", +] +``` + +- [ ] **Step 2: Remove the 6 stale `default_logical_type_registry` tests from `test_registry.py`** + +Delete the entire section at the end of `tests/test_extension_types/test_registry.py` (lines 450–532): + +```python +# --------------------------------------------------------------------------- +# default_logical_type_registry tests +# --------------------------------------------------------------------------- + +def test_logical_type_registry_module_instance(): + ... + +def test_default_registry_is_same_object_across_imports(): + ... + +def test_default_registry_register_and_lookup(): + ... + +def test_default_registry_register_idempotent(): + ... + +def test_default_registry_populates_arrow_global(): + ... + +def test_default_registry_populates_polars_global(): + ... +``` + +These tests are superseded by the integration tests in `test_builtin_logical_types.py`. + +- [ ] **Step 3: Run the full test suite** + +```bash +uv run pytest tests/ -v --tb=short +``` + +Expected: All tests PASS. The 6 removed tests no longer exist. No regressions. + +- [ ] **Step 4: Commit** + +```bash +git add src/orcapod/extension_types/__init__.py \ + tests/test_extension_types/test_registry.py +git commit -m "refactor(extension_types): remove default_logical_type_registry module-level variable" +``` + +--- + +## Self-Review + +### Spec coverage check + +| Spec requirement | Covered by | +|---|---| +| `LogicalPath` implementation | Task 3 | +| `LogicalUPath` implementation | Task 3 | +| `LogicalUUID` implementation (with `pa.uuid()`) | Task 4 | +| `make_polars_extension_type` helper | Task 1 | +| `LogicalTypeRegistry.__init__` `logical_types` param | Task 2 | +| `DataContext.logical_type_registry` field | Task 5, Step 3 | +| `v0.1.json` `logical_type_registry` entry | Task 5, Step 5 | +| `context_schema.json` update | Task 5, Step 6 | +| `get_default_logical_type_registry()` convenience function | Task 5, Step 7 | +| Remove `default_logical_type_registry` from `__init__.py` | Task 6, Step 1 | +| Protocol conformance tests | Task 3 & 4 | +| Property value tests | Task 3 & 4 | +| Conversion round-trip tests | Task 3 & 4 | +| Default context registration tests | Task 5, Step 1 | +| Pre-existing Arrow type tolerance test (`LogicalUUID`) | Task 4, Step 1 | +| Idempotence test (context caching) | Task 5, Step 1 | +| UUID `logical_type_name` ≠ Arrow ext name test | Task 4, Step 1 | +| Circular import avoidance (submodule imports) | Task 3, Step 3 (in `builtin_logical_types.py`) | +| Class-level caching for extension type instances | Task 3, Step 3 & Task 4, Step 3 | +| Export `make_polars_extension_type` from `__init__.py` | Task 1, Step 4 | + +### Type consistency check + +- `make_polars_extension_type(name, arrow_storage_type, metadata)` — used consistently in Task 1 (definition) and Task 3/4 (class-body calls). +- `LogicalTypeRegistry(logical_types=[...])` — defined in Task 2, used in Task 5 JSON spec. +- `DataContext.logical_type_registry` field — added in Task 5 Step 3, passed in `_create_context_from_spec` in Task 5 Step 4. +- `get_default_logical_type_registry()` returns `LogicalTypeRegistry`, consistent with `get_default_type_converter()` pattern. +- `LogicalUUID.logical_type_name = "uuid.UUID"` vs `get_arrow_extension_type().extension_name = "arrow.uuid"` — intentional difference, tested in Task 4. + +### No placeholder scan + +All steps contain complete code or exact commands. No "TBD", "similar to", or "add validation" phrases. From c81787345f556059fdbb6e158dfa0a6009301794 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 23:41:24 +0000 Subject: [PATCH 053/206] test(extension_types): add Arrow/Polars round-trip tests; drop orcapod.builtin metadata MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Remove b"orcapod.builtin" metadata from LogicalPath and LogicalUPath (metadata serves no functional purpose and was inconsistently typed between Arrow (bytes) and Polars (str)) - Add six end-to-end round-trip tests covering Python→Arrow→Python and Python→Polars→Python for LogicalPath, LogicalUPath, and LogicalUUID - Handle pa.uuid() Polars edge case: after pl.from_arrow().to_arrow(), Polars returns a LargeBinaryArray directly (no .storage attribute) for the built-in arrow.uuid type; use hasattr guard to handle both cases Co-Authored-By: Claude Sonnet 4.6 --- .../extension_types/builtin_logical_types.py | 20 +-- .../test_builtin_logical_types.py | 128 ++++++++++++++++++ 2 files changed, 134 insertions(+), 14 deletions(-) diff --git a/src/orcapod/extension_types/builtin_logical_types.py b/src/orcapod/extension_types/builtin_logical_types.py index 4bba9900..e81b52c1 100644 --- a/src/orcapod/extension_types/builtin_logical_types.py +++ b/src/orcapod/extension_types/builtin_logical_types.py @@ -31,7 +31,7 @@ class LogicalPath: """Logical type for ``pathlib.Path``. Stores paths as Arrow large strings using the custom extension type - ``"pathlib.Path"`` with metadata ``b"orcapod.builtin"``. + ``"pathlib.Path"``. Example: >>> lt = LogicalPath() @@ -41,13 +41,9 @@ class LogicalPath: PosixPath('/tmp/foo') """ - _arrow_ext_class = make_arrow_extension_type( - "pathlib.Path", pa.large_string(), b"orcapod.builtin" - ) + _arrow_ext_class = make_arrow_extension_type("pathlib.Path", pa.large_string()) _arrow_ext: pa.ExtensionType | None = None - _polars_ext_class = make_polars_extension_type( - "pathlib.Path", pa.large_string(), "orcapod.builtin" - ) + _polars_ext_class = make_polars_extension_type("pathlib.Path", pa.large_string()) _polars_ext: pl.BaseExtension | None = None logical_type_name: str = "pathlib.Path" @@ -102,7 +98,7 @@ class LogicalUPath: """Logical type for ``upath.UPath``. Stores paths as Arrow large strings using the custom extension type - ``"upath.UPath"`` with metadata ``b"orcapod.builtin"``. + ``"upath.UPath"``. Example: >>> lt = LogicalUPath() @@ -112,13 +108,9 @@ class LogicalUPath: UPath('s3://bucket/key') """ - _arrow_ext_class = make_arrow_extension_type( - "upath.UPath", pa.large_string(), b"orcapod.builtin" - ) + _arrow_ext_class = make_arrow_extension_type("upath.UPath", pa.large_string()) _arrow_ext: pa.ExtensionType | None = None - _polars_ext_class = make_polars_extension_type( - "upath.UPath", pa.large_string(), "orcapod.builtin" - ) + _polars_ext_class = make_polars_extension_type("upath.UPath", pa.large_string()) _polars_ext: pl.BaseExtension | None = None logical_type_name: str = "upath.UPath" diff --git a/tests/test_extension_types/test_builtin_logical_types.py b/tests/test_extension_types/test_builtin_logical_types.py index a9f8af01..9e84d320 100644 --- a/tests/test_extension_types/test_builtin_logical_types.py +++ b/tests/test_extension_types/test_builtin_logical_types.py @@ -5,7 +5,9 @@ import pathlib import uuid as uuid_module +import polars as pl import pyarrow as pa +import warnings from upath import UPath from orcapod.extension_types.protocols import LogicalType @@ -250,6 +252,132 @@ def test_logical_uuid_registration_does_not_raise(): assert registry.get_by_arrow_extension_name("arrow.uuid") is lt +# --------------------------------------------------------------------------- +# Arrow and Polars end-to-end round-trip tests +# --------------------------------------------------------------------------- + + +def test_logical_path_arrow_round_trip(): + """Python -> Arrow extension array -> Python via LogicalPath.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + + lt = LogicalPath() + registry = LogicalTypeRegistry() + registry.register(lt) + + originals = [pathlib.Path("/tmp/foo"), pathlib.Path("/home/user/bar.txt")] + storage_vals = [lt.python_to_storage(p) for p in originals] + arrow_ext = lt.get_arrow_extension_type() + ext_arr = pa.array(storage_vals, type=arrow_ext.storage_type).cast(arrow_ext) + + recovered = [lt.storage_to_python(v.as_py()) for v in ext_arr.storage] + assert recovered == originals + + +def test_logical_path_polars_round_trip(): + """Python -> Arrow extension array -> Polars series -> Arrow -> Python via LogicalPath.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + + lt = LogicalPath() + registry = LogicalTypeRegistry() + registry.register(lt) + + originals = [pathlib.Path("/tmp/foo"), pathlib.Path("/home/user/bar.txt")] + storage_vals = [lt.python_to_storage(p) for p in originals] + arrow_ext = lt.get_arrow_extension_type() + ext_arr = pa.array(storage_vals, type=arrow_ext.storage_type).cast(arrow_ext) + + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + pl_series = pl.from_arrow(ext_arr) + + arr_back = pl_series.to_arrow() + recovered = [lt.storage_to_python(v.as_py()) for v in arr_back.storage] + assert recovered == originals + + +def test_logical_upath_arrow_round_trip(): + """Python -> Arrow extension array -> Python via LogicalUPath.""" + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + lt = LogicalUPath() + registry = LogicalTypeRegistry() + registry.register(lt) + + originals = [UPath("s3://bucket/key"), UPath("gs://other/path/file.txt")] + storage_vals = [lt.python_to_storage(p) for p in originals] + arrow_ext = lt.get_arrow_extension_type() + ext_arr = pa.array(storage_vals, type=arrow_ext.storage_type).cast(arrow_ext) + + recovered = [lt.storage_to_python(v.as_py()) for v in ext_arr.storage] + assert recovered == originals + + +def test_logical_upath_polars_round_trip(): + """Python -> Arrow extension array -> Polars series -> Arrow -> Python via LogicalUPath.""" + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + lt = LogicalUPath() + registry = LogicalTypeRegistry() + registry.register(lt) + + originals = [UPath("s3://bucket/key"), UPath("gs://other/path/file.txt")] + storage_vals = [lt.python_to_storage(p) for p in originals] + arrow_ext = lt.get_arrow_extension_type() + ext_arr = pa.array(storage_vals, type=arrow_ext.storage_type).cast(arrow_ext) + + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + pl_series = pl.from_arrow(ext_arr) + + arr_back = pl_series.to_arrow() + recovered = [lt.storage_to_python(v.as_py()) for v in arr_back.storage] + assert recovered == originals + + +def test_logical_uuid_arrow_round_trip(): + """Python -> Arrow extension array -> Python via LogicalUUID.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + registry = LogicalTypeRegistry() + registry.register(lt) + + originals = [uuid_module.UUID("12345678-1234-5678-1234-567812345678"), uuid_module.uuid4()] + storage_vals = [lt.python_to_storage(u) for u in originals] + arrow_ext = lt.get_arrow_extension_type() + ext_arr = pa.array(storage_vals, type=arrow_ext.storage_type).cast(arrow_ext) + + recovered = [lt.storage_to_python(v.as_py()) for v in ext_arr.storage] + assert recovered == originals + + +def test_logical_uuid_polars_round_trip(): + """Python -> Arrow extension array -> Polars series -> Arrow -> Python via LogicalUUID.""" + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + lt = LogicalUUID() + registry = LogicalTypeRegistry() + registry.register(lt) + + originals = [uuid_module.UUID("12345678-1234-5678-1234-567812345678"), uuid_module.uuid4()] + storage_vals = [lt.python_to_storage(u) for u in originals] + arrow_ext = lt.get_arrow_extension_type() + ext_arr = pa.array(storage_vals, type=arrow_ext.storage_type).cast(arrow_ext) + + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + pl_series = pl.from_arrow(ext_arr) + + arr_back = pl_series.to_arrow() + # pa.uuid() is a PyArrow built-in; Polars may return the underlying binary + # array directly (no extension wrapper) rather than a pa.uuid() extension + # array. Handle both cases. + storage_arr = arr_back.storage if hasattr(arr_back, "storage") else arr_back + recovered = [lt.storage_to_python(v.as_py()) for v in storage_arr] + assert recovered == originals + + # --------------------------------------------------------------------------- # Default context integration tests # --------------------------------------------------------------------------- From 82884f70db78956c8295a4a750fbd535f0155bc6 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 00:09:39 +0000 Subject: [PATCH 054/206] refactor(extension_types): use custom uuid.UUID extension type; clean up round-trip tests MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Replace pa.uuid() ("arrow.uuid") with a custom pa.ExtensionType named "uuid.UUID" in LogicalUUID. pa.uuid() is a PyArrow C++ built-in whose name is registered in Polars' Rust layer at startup and cannot be overridden from Python, causing it to be stripped to Binary on Arrow→Polars→Arrow round-trips. The custom extension type with name "uuid.UUID" round-trips cleanly through both Arrow and Polars, consistent with LogicalPath and LogicalUPath. Storage type is pa.large_binary() rather than pa.binary(16) because Polars maps fixed-size binary to variable-length on the round-trip, which would conflict with the deserializer's storage-type check. Round-trip tests: - Replace storage-array.cast(ext) with pa.ExtensionArray.from_storage() for clearer intent - Remove unnecessary warnings.catch_warnings() blocks (no warnings arise) - Remove hasattr safeguard in UUID Polars test; extension type is now preserved through Polars, so .storage is always present Co-Authored-By: Claude Sonnet 4.6 --- .../extension_types/builtin_logical_types.py | 33 ++++----- .../test_builtin_logical_types.py | 68 ++++++------------- 2 files changed, 38 insertions(+), 63 deletions(-) diff --git a/src/orcapod/extension_types/builtin_logical_types.py b/src/orcapod/extension_types/builtin_logical_types.py index e81b52c1..783ddbf3 100644 --- a/src/orcapod/extension_types/builtin_logical_types.py +++ b/src/orcapod/extension_types/builtin_logical_types.py @@ -5,7 +5,7 @@ - ``LogicalPath``: maps ``pathlib.Path`` ↔ Arrow large_string extension "pathlib.Path" - ``LogicalUPath``: maps ``upath.UPath`` ↔ Arrow large_string extension "upath.UPath" -- ``LogicalUUID``: maps ``uuid.UUID`` ↔ PyArrow built-in ``pa.uuid()`` ("arrow.uuid") +- ``LogicalUUID``: maps ``uuid.UUID`` ↔ Arrow binary(16) extension "uuid.UUID" Note: All imports from orcapod.extension_types use direct submodule paths @@ -164,14 +164,15 @@ def storage_to_python(self, storage_value: Any) -> UPath: class LogicalUUID: """Logical type for ``uuid.UUID``. - Uses PyArrow's built-in ``pa.uuid()`` extension type (``"arrow.uuid"``) - which stores UUID values as 16-byte binary (``pa.binary(16)``). + Stores UUIDs as Arrow binary (16 bytes) using the custom extension type + ``"uuid.UUID"``. Both the Arrow extension name and ``logical_type_name`` + are ``"uuid.UUID"``, consistent with ``LogicalPath`` and ``LogicalUPath``. - Note: - ``logical_type_name`` (``"uuid.UUID"``) intentionally differs from - the Arrow extension name (``"arrow.uuid"``). The - ``LogicalTypeRegistry`` stores both bindings so that lookups by - either key resolve to this same instance. + The storage type is ``pa.large_binary()`` (variable-length binary), using + big-endian byte order as returned by ``uuid.UUID.bytes``. ``large_binary`` + is used rather than ``pa.binary(16)`` (fixed-size) because Polars maps + fixed-size binary to variable-length on the round-trip, which would + conflict with the deserializer's storage type check. Example: >>> import uuid @@ -181,31 +182,31 @@ class LogicalUUID: True """ + _arrow_ext_class = make_arrow_extension_type("uuid.UUID", pa.large_binary()) _arrow_ext: pa.ExtensionType | None = None - _polars_ext_class = make_polars_extension_type("arrow.uuid", pa.binary(16), None) + _polars_ext_class = make_polars_extension_type("uuid.UUID", pa.large_binary()) _polars_ext: pl.BaseExtension | None = None logical_type_name: str = "uuid.UUID" python_type: type = _uuid_module.UUID def get_arrow_extension_type(self) -> pa.ExtensionType: - """Return PyArrow's built-in ``pa.uuid()`` extension type. + """Return the Arrow extension type for ``uuid.UUID``. Returns: - A cached ``pa.uuid()`` instance (Arrow extension name ``"arrow.uuid"``, - storage type ``pa.binary(16)``). + A cached ``pa.ExtensionType`` instance with extension name + ``"uuid.UUID"`` and storage type ``pa.large_binary()``. """ if LogicalUUID._arrow_ext is None: - LogicalUUID._arrow_ext = pa.uuid() + LogicalUUID._arrow_ext = LogicalUUID._arrow_ext_class() return LogicalUUID._arrow_ext def get_polars_extension_type(self) -> pl.BaseExtension: - """Return the Polars extension type for ``arrow.uuid``. + """Return the Polars extension type for ``uuid.UUID``. Returns: A cached ``pl.BaseExtension`` instance registered under - ``"arrow.uuid"`` (matches the Arrow extension name, not the - logical type name). + ``"uuid.UUID"``. """ if LogicalUUID._polars_ext is None: LogicalUUID._polars_ext = LogicalUUID._polars_ext_class() diff --git a/tests/test_extension_types/test_builtin_logical_types.py b/tests/test_extension_types/test_builtin_logical_types.py index 9e84d320..707b65e7 100644 --- a/tests/test_extension_types/test_builtin_logical_types.py +++ b/tests/test_extension_types/test_builtin_logical_types.py @@ -7,7 +7,6 @@ import polars as pl import pyarrow as pa -import warnings from upath import UPath from orcapod.extension_types.protocols import LogicalType @@ -169,7 +168,6 @@ def test_logical_uuid_isinstance_logical_type(): def test_logical_uuid_logical_type_name(): - """logical_type_name is 'uuid.UUID', not the Arrow extension name.""" from orcapod.extension_types.builtin_logical_types import LogicalUUID assert LogicalUUID().logical_type_name == "uuid.UUID" @@ -181,21 +179,20 @@ def test_logical_uuid_python_type(): assert LogicalUUID().python_type is uuid_module.UUID -def test_logical_uuid_arrow_ext_name_is_arrow_uuid(): - """Arrow extension name is 'arrow.uuid', intentionally different from logical_type_name.""" +def test_logical_uuid_arrow_ext_name(): + """Arrow extension name is 'uuid.UUID', matching logical_type_name.""" from orcapod.extension_types.builtin_logical_types import LogicalUUID lt = LogicalUUID() - assert lt.get_arrow_extension_type().extension_name == "arrow.uuid" - assert lt.logical_type_name != lt.get_arrow_extension_type().extension_name + assert lt.get_arrow_extension_type().extension_name == "uuid.UUID" + assert lt.get_arrow_extension_type().extension_name == lt.logical_type_name -def test_logical_uuid_get_arrow_extension_type_returns_pa_uuid(): - """get_arrow_extension_type() returns PyArrow's built-in pa.uuid() type.""" +def test_logical_uuid_arrow_ext_storage_type(): + """Arrow extension storage type is pa.large_binary().""" from orcapod.extension_types.builtin_logical_types import LogicalUUID - lt = LogicalUUID() - assert lt.get_arrow_extension_type() == pa.uuid() + assert LogicalUUID().get_arrow_extension_type().storage_type == pa.large_binary() def test_logical_uuid_get_arrow_extension_type_is_cached(): @@ -242,14 +239,14 @@ def test_logical_uuid_storage_to_python_accepts_bytes(): def test_logical_uuid_registration_does_not_raise(): - """Registering LogicalUUID succeeds even though pa.uuid() is already in PyArrow's registry.""" + """Registering LogicalUUID succeeds and is reachable by both logical and arrow names.""" from orcapod.extension_types.builtin_logical_types import LogicalUUID registry = LogicalTypeRegistry() lt = LogicalUUID() registry.register(lt) # should NOT raise assert registry.get_by_logical_name("uuid.UUID") is lt - assert registry.get_by_arrow_extension_name("arrow.uuid") is lt + assert registry.get_by_arrow_extension_name("uuid.UUID") is lt # --------------------------------------------------------------------------- @@ -268,7 +265,7 @@ def test_logical_path_arrow_round_trip(): originals = [pathlib.Path("/tmp/foo"), pathlib.Path("/home/user/bar.txt")] storage_vals = [lt.python_to_storage(p) for p in originals] arrow_ext = lt.get_arrow_extension_type() - ext_arr = pa.array(storage_vals, type=arrow_ext.storage_type).cast(arrow_ext) + ext_arr = pa.ExtensionArray.from_storage(arrow_ext, pa.array(storage_vals, type=arrow_ext.storage_type)) recovered = [lt.storage_to_python(v.as_py()) for v in ext_arr.storage] assert recovered == originals @@ -285,12 +282,9 @@ def test_logical_path_polars_round_trip(): originals = [pathlib.Path("/tmp/foo"), pathlib.Path("/home/user/bar.txt")] storage_vals = [lt.python_to_storage(p) for p in originals] arrow_ext = lt.get_arrow_extension_type() - ext_arr = pa.array(storage_vals, type=arrow_ext.storage_type).cast(arrow_ext) - - with warnings.catch_warnings(): - warnings.simplefilter("ignore") - pl_series = pl.from_arrow(ext_arr) + ext_arr = pa.ExtensionArray.from_storage(arrow_ext, pa.array(storage_vals, type=arrow_ext.storage_type)) + pl_series = pl.from_arrow(ext_arr) arr_back = pl_series.to_arrow() recovered = [lt.storage_to_python(v.as_py()) for v in arr_back.storage] assert recovered == originals @@ -307,7 +301,7 @@ def test_logical_upath_arrow_round_trip(): originals = [UPath("s3://bucket/key"), UPath("gs://other/path/file.txt")] storage_vals = [lt.python_to_storage(p) for p in originals] arrow_ext = lt.get_arrow_extension_type() - ext_arr = pa.array(storage_vals, type=arrow_ext.storage_type).cast(arrow_ext) + ext_arr = pa.ExtensionArray.from_storage(arrow_ext, pa.array(storage_vals, type=arrow_ext.storage_type)) recovered = [lt.storage_to_python(v.as_py()) for v in ext_arr.storage] assert recovered == originals @@ -324,12 +318,9 @@ def test_logical_upath_polars_round_trip(): originals = [UPath("s3://bucket/key"), UPath("gs://other/path/file.txt")] storage_vals = [lt.python_to_storage(p) for p in originals] arrow_ext = lt.get_arrow_extension_type() - ext_arr = pa.array(storage_vals, type=arrow_ext.storage_type).cast(arrow_ext) - - with warnings.catch_warnings(): - warnings.simplefilter("ignore") - pl_series = pl.from_arrow(ext_arr) + ext_arr = pa.ExtensionArray.from_storage(arrow_ext, pa.array(storage_vals, type=arrow_ext.storage_type)) + pl_series = pl.from_arrow(ext_arr) arr_back = pl_series.to_arrow() recovered = [lt.storage_to_python(v.as_py()) for v in arr_back.storage] assert recovered == originals @@ -346,7 +337,7 @@ def test_logical_uuid_arrow_round_trip(): originals = [uuid_module.UUID("12345678-1234-5678-1234-567812345678"), uuid_module.uuid4()] storage_vals = [lt.python_to_storage(u) for u in originals] arrow_ext = lt.get_arrow_extension_type() - ext_arr = pa.array(storage_vals, type=arrow_ext.storage_type).cast(arrow_ext) + ext_arr = pa.ExtensionArray.from_storage(arrow_ext, pa.array(storage_vals, type=arrow_ext.storage_type)) recovered = [lt.storage_to_python(v.as_py()) for v in ext_arr.storage] assert recovered == originals @@ -363,18 +354,11 @@ def test_logical_uuid_polars_round_trip(): originals = [uuid_module.UUID("12345678-1234-5678-1234-567812345678"), uuid_module.uuid4()] storage_vals = [lt.python_to_storage(u) for u in originals] arrow_ext = lt.get_arrow_extension_type() - ext_arr = pa.array(storage_vals, type=arrow_ext.storage_type).cast(arrow_ext) - - with warnings.catch_warnings(): - warnings.simplefilter("ignore") - pl_series = pl.from_arrow(ext_arr) + ext_arr = pa.ExtensionArray.from_storage(arrow_ext, pa.array(storage_vals, type=arrow_ext.storage_type)) + pl_series = pl.from_arrow(ext_arr) arr_back = pl_series.to_arrow() - # pa.uuid() is a PyArrow built-in; Polars may return the underlying binary - # array directly (no extension wrapper) rather than a pa.uuid() extension - # array. Handle both cases. - storage_arr = arr_back.storage if hasattr(arr_back, "storage") else arr_back - recovered = [lt.storage_to_python(v.as_py()) for v in storage_arr] + recovered = [lt.storage_to_python(v.as_py()) for v in arr_back.storage] assert recovered == originals @@ -452,25 +436,15 @@ def test_default_context_registry_has_logical_uuid(): def test_default_context_registry_lookup_by_arrow_name_uuid(): - """Default registry routes 'arrow.uuid' arrow ext name to LogicalUUID.""" + """Default registry routes 'uuid.UUID' arrow ext name to LogicalUUID.""" from orcapod.contexts import get_default_context from orcapod.extension_types.builtin_logical_types import LogicalUUID registry = get_default_context().logical_type_registry - lt = registry.get_by_arrow_extension_name("arrow.uuid") + lt = registry.get_by_arrow_extension_name("uuid.UUID") assert isinstance(lt, LogicalUUID) -def test_default_context_registry_uuid_logical_name_differs_from_arrow_name(): - """The same LogicalUUID instance is found by both 'uuid.UUID' and 'arrow.uuid'.""" - from orcapod.contexts import get_default_context - - registry = get_default_context().logical_type_registry - by_logical = registry.get_by_logical_name("uuid.UUID") - by_arrow = registry.get_by_arrow_extension_name("arrow.uuid") - assert by_logical is by_arrow - - def test_get_default_logical_type_registry_returns_same_as_context(): """get_default_logical_type_registry() is the same object as get_default_context().logical_type_registry.""" from orcapod.contexts import get_default_context, get_default_logical_type_registry From 2c2f5c9c816093a4d5532a6076616230be228be5 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 00:22:32 +0000 Subject: [PATCH 055/206] fix(extension_types): fix stale docs and missing required_fields entry MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - builtin_logical_types.py module docstring: change "binary(16)" to "large_binary" to match LogicalUUID's actual storage type - LogicalTypeRegistry docstring: remove stale reference to the removed default_logical_type_registry module-level singleton; replace with the canonical access path (get_default_context().logical_type_registry) - contexts/registry.py required_fields: add "semantic_registry", which context_schema.json already requires but was absent from the hand-rolled Python validation list — a spec missing it would silently pass the check - Design spec: update LogicalUUID table and narrative to reflect the "uuid.UUID" / pa.large_binary() implementation; document why pa.uuid() was not used (Polars Rust-layer conflict); remove stale b"orcapod.builtin" from the caching example Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/contexts/registry.py | 1 + .../extension_types/builtin_logical_types.py | 2 +- src/orcapod/extension_types/registry.py | 8 +++-- ...4-plt-1656-builtin-logical-types-design.md | 32 +++++++++++-------- 4 files changed, 25 insertions(+), 18 deletions(-) diff --git a/src/orcapod/contexts/registry.py b/src/orcapod/contexts/registry.py index 94eade63..b7e0aad0 100644 --- a/src/orcapod/contexts/registry.py +++ b/src/orcapod/contexts/registry.py @@ -148,6 +148,7 @@ def _load_spec_file(self, json_file: Path) -> None: required_fields = [ "context_key", "version", + "semantic_registry", "type_converter", "arrow_hasher", "semantic_hasher", diff --git a/src/orcapod/extension_types/builtin_logical_types.py b/src/orcapod/extension_types/builtin_logical_types.py index 783ddbf3..9b7910ce 100644 --- a/src/orcapod/extension_types/builtin_logical_types.py +++ b/src/orcapod/extension_types/builtin_logical_types.py @@ -5,7 +5,7 @@ - ``LogicalPath``: maps ``pathlib.Path`` ↔ Arrow large_string extension "pathlib.Path" - ``LogicalUPath``: maps ``upath.UPath`` ↔ Arrow large_string extension "upath.UPath" -- ``LogicalUUID``: maps ``uuid.UUID`` ↔ Arrow binary(16) extension "uuid.UUID" +- ``LogicalUUID``: maps ``uuid.UUID`` ↔ Arrow large_binary extension "uuid.UUID" Note: All imports from orcapod.extension_types use direct submodule paths diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index fc2c3854..74bb94b2 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -161,11 +161,13 @@ class LogicalTypeRegistry: Registering a logical type side-effect-registers the corresponding extension type in PyArrow's and Polars' global registries. Pre-existing types (those - already registered externally, e.g. PyArrow's built-in ``"arrow.uuid"``) are + already registered externally in the global Arrow or Polars registries) are accepted silently — the binding is stored without error. - The process-global ``default_logical_type_registry`` instance provides - effective process-wide uniqueness for normal use. Thread-safety is deferred. + The standard access path for the default registry is + ``get_default_context().logical_type_registry`` or the convenience function + ``get_default_logical_type_registry()`` from ``orcapod.contexts``. + Thread-safety is deferred. An optional ``logical_types`` list can be passed at construction time to pre-register one or more ``LogicalType`` instances immediately, following diff --git a/superpowers/specs/2026-06-14-plt-1656-builtin-logical-types-design.md b/superpowers/specs/2026-06-14-plt-1656-builtin-logical-types-design.md index 67b8439c..7d4843f6 100644 --- a/superpowers/specs/2026-06-14-plt-1656-builtin-logical-types-design.md +++ b/superpowers/specs/2026-06-14-plt-1656-builtin-logical-types-design.md @@ -68,22 +68,28 @@ Identical structure to `LogicalPath` with: |---|---| | `logical_type_name` | `"uuid.UUID"` | | `python_type` | `uuid.UUID` | -| Arrow extension name | `"arrow.uuid"` (PyArrow built-in — `pa.uuid()`) | -| Arrow storage type | `pa.binary(16)` (encapsulated in `pa.uuid()`) | -| Arrow extension metadata | controlled by PyArrow (not `b"orcapod.builtin"`) | +| Arrow extension name | `"uuid.UUID"` (custom — created via `make_arrow_extension_type`) | +| Arrow storage type | `pa.large_binary()` | +| Arrow extension metadata | `None` (empty bytes) | | `python_to_storage(uuid_val)` | `uuid_val.bytes` | | `storage_to_python(bytes_val)` | `uuid.UUID(bytes=bytes(bytes_val))` | -`get_arrow_extension_type()` returns `pa.uuid()` directly — PyArrow's pre-existing -built-in type registered as `"arrow.uuid"`. The registry accepts this silently -(PLT-1668 behaviour). **`logical_type_name` (`"uuid.UUID"`) intentionally differs -from the Arrow extension name (`"arrow.uuid"`).** +`get_arrow_extension_type()` uses +`make_arrow_extension_type("uuid.UUID", pa.large_binary())`, following the +same pattern as `LogicalPath` and `LogicalUPath`. `logical_type_name` and the +Arrow extension name are both `"uuid.UUID"`. + +`pa.large_binary()` is used rather than `pa.binary(16)` (fixed-size) because +Polars maps fixed-size binary to variable-length on the round-trip, which +would conflict with the deserializer's storage-type check. + +PyArrow's built-in `pa.uuid()` (`"arrow.uuid"`) is intentionally **not** used: +it is a C++ built-in type (`UuidType(BaseExtensionType)`) that Polars has +hardcoded in its Rust layer at startup and cannot be overridden from Python, +causing Arrow → Polars → Arrow round-trips to silently strip the extension. `get_polars_extension_type()` uses -`make_polars_extension_type("arrow.uuid", pa.binary(16), None)`. -Note: the Polars registration name is the Arrow extension name (`"arrow.uuid"`), -not the logical type name (`"uuid.UUID"`), so that Polars correctly maps Arrow -UUID columns on read. +`make_polars_extension_type("uuid.UUID", pa.large_binary())`. ### Caching strategy @@ -92,9 +98,7 @@ attributes to avoid re-creating dynamic subclasses on every `get_*` call: ```python class LogicalPath: - _arrow_ext_class = make_arrow_extension_type( - "pathlib.Path", pa.large_string(), b"orcapod.builtin" - ) + _arrow_ext_class = make_arrow_extension_type("pathlib.Path", pa.large_string()) _arrow_ext: pa.ExtensionType | None = None def get_arrow_extension_type(self) -> pa.ExtensionType: From 55a9fe43f8e996f5e192925d965d114c0f22771f Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 08:00:48 +0000 Subject: [PATCH 056/206] docs(extension_types): add draft design spec for PLT-1655 database hooks Records the brainstormed design for ensure_extensions_registered, CategoryHandler protocol, prepare_extension_type registry method, and database call-site hooks. Marked as draft pending PLT-1668 redesign of LogicalType / LogicalTypeRegistry. --- ...26-06-14-plt-1655-database-hooks-design.md | 381 ++++++++++++++++++ 1 file changed, 381 insertions(+) create mode 100644 superpowers/specs/2026-06-14-plt-1655-database-hooks-design.md diff --git a/superpowers/specs/2026-06-14-plt-1655-database-hooks-design.md b/superpowers/specs/2026-06-14-plt-1655-database-hooks-design.md new file mode 100644 index 00000000..e30ebfa2 --- /dev/null +++ b/superpowers/specs/2026-06-14-plt-1655-database-hooks-design.md @@ -0,0 +1,381 @@ +# PLT-1655: Peek-Schema → Register → Read Pattern with Per-Process Cache + +**Date:** 2026-06-14 +**Linear issue:** PLT-1655 +**Status:** DRAFT — blocked on PLT-1668 + +> ⚠️ **This spec is a work-in-progress and is expected to be revisited and updated once +> PLT-1668 lands.** PLT-1668 redesigns `ExtensionTypeConverter` → `LogicalType` and +> `ExtensionTypeRegistry` → `LogicalTypeRegistry`. Several naming and signature decisions +> below will change when that redesign is complete. See the +> [Pending PLT-1668](#pending-plt-1668) section for an explicit list of what is unsettled. + +--- + +## Overview + +Wire a single, additive call into the two existing database read methods so that any Arrow +extension types present in a schema are automatically registered in both PyArrow's and +Polars' global registries before data is returned. Repeated reads within the same process +are cheap because already-registered types are detected and skipped by the registry. + +The peek helper itself stays deliberately dumb: it walks the schema, then delegates each +found type to the registry. All handler dispatch logic lives in the registry. + +--- + +## Goals & Success Criteria + +* `ensure_extensions_registered(schema)` in `extension_types/database_hooks.py` is + called before every table return in `DeltaTableDatabase._read_delta_table()` and + `ConnectorArrowDatabase._get_committed_table()`. +* When the schema contains no extension types the call is a no-op; existing tests continue + to pass unchanged. +* When the schema contains a known extension type (one whose category handler is + registered) the type is registered in PyArrow and Polars before the table is returned. +* When the schema contains an extension type whose category metadata is unknown, a clear + `ValueError` is raised naming the extension name and metadata bytes. +* Repeated reads that encounter the same extension type are effectively free — the + registry is idempotent (already-registered types are detected and skipped). + +--- + +## Scope & Boundaries + +In scope: +* New `src/orcapod/extension_types/database_hooks.py` +* Additive modification of `src/orcapod/databases/delta_lake_databases.py` + (`_read_delta_table`) +* Additive modification of `src/orcapod/databases/connector_arrow_database.py` + (`_get_committed_table`) +* New `CategoryHandler` Protocol in `src/orcapod/extension_types/protocols.py` +* New methods on `ExtensionTypeRegistry` (pending rename to `LogicalTypeRegistry`): + `register_category_handler` and `prepare_extension_type` +* Additive exports in `src/orcapod/extension_types/__init__.py` +* Tests for all new code + +Out of scope: +* Implementing concrete category handlers (PLT-1657 `dataclass_handler`, + PLT-1658 `picklable_handler`) — they will call `register_category_handler` on + the module-level registry instance at import time +* Built-in logical type registrations (PLT-1656) +* Thread safety of the global shadow dicts (deferred) +* Any change to `semantic_types/` (old system, untouched until PLT-1660) + +--- + +## Architecture + +### File map + +| File | Change | +|---|---| +| `src/orcapod/extension_types/protocols.py` | Add `CategoryHandler` Protocol | +| `src/orcapod/extension_types/registry.py` | Add `register_category_handler`, `prepare_extension_type` | +| `src/orcapod/extension_types/database_hooks.py` | **New** — `ensure_extensions_registered` | +| `src/orcapod/extension_types/__init__.py` | Additive exports | +| `src/orcapod/databases/delta_lake_databases.py` | Additive — call in `_read_delta_table` | +| `src/orcapod/databases/connector_arrow_database.py` | Additive — call in `_get_committed_table` | +| `tests/test_extension_types/test_database_hooks.py` | **New** | + +--- + +## `CategoryHandler` Protocol + +**Location:** `src/orcapod/extension_types/protocols.py` + +`CategoryHandler` is a pure factory. Given an Arrow extension name and its storage type +(both extracted from the schema by the walker), it constructs a fully-formed converter +instance (currently `ExtensionTypeConverter`; renamed to `LogicalType` after PLT-1668). +The category tag that routes to this handler is declared by the caller at registration +time — the handler itself has no knowledge of its dispatch key. + +```python +class CategoryHandler(Protocol): + def create_converter( + self, + extension_name: str, + storage_type: pa.DataType, + ) -> ExtensionTypeConverter: + """Construct a converter for the given extension name and storage type. + + Args: + extension_name: The Arrow extension type name extracted from the schema + (i.e. the value of ``ARROW:extension:name`` field metadata). + storage_type: The underlying Arrow storage type for this extension field. + + Returns: + A fully constructed ``ExtensionTypeConverter`` ready to be passed to + ``ExtensionTypeRegistry.register()``. + + Raises: + ValueError: If this handler cannot construct a converter for the given + extension name (e.g. the Python class cannot be resolved). + """ + ... +``` + +> **Post-PLT-1668 note:** `create_converter` return type changes from +> `ExtensionTypeConverter` to `LogicalType`. The `extension_name` parameter meaning may +> shift slightly depending on how `logical_type_name` vs Arrow extension name are +> distinguished in the new design — see [Pending PLT-1668](#pending-plt-1668). + +--- + +## `ExtensionTypeRegistry` additions + +**Location:** `src/orcapod/extension_types/registry.py` + +Two new methods are added to `ExtensionTypeRegistry` (to be renamed `LogicalTypeRegistry` +post-PLT-1668). The existing public API is unchanged. + +### `register_category_handler` + +```python +def register_category_handler( + self, + metadata_tag: bytes, + handler: CategoryHandler, +) -> None: + """Register a category handler for the given metadata tag. + + When ``prepare_extension_type`` encounters an extension type whose + ``extension_metadata`` bytes match ``metadata_tag``, it calls + ``handler.create_converter(extension_name, storage_type)`` to construct + the converter and then registers it. + + Args: + metadata_tag: The ``extension_metadata`` bytes value that identifies + this category (e.g. ``b"orcapod.dataclass"``). + handler: A ``CategoryHandler`` instance responsible for constructing + converters for this category. + + Raises: + ValueError: If ``metadata_tag`` is already registered to a different handler. + """ +``` + +The registry stores handlers in a new `_category_handlers: dict[bytes, CategoryHandler]` +instance attribute, populated at construction with an empty dict. + +### `prepare_extension_type` + +```python +def prepare_extension_type( + self, + extension_name: str, + extension_metadata: bytes | None, + storage_type: pa.DataType, +) -> None: + """Ensure the extension type identified by ``extension_name`` is registered. + + This is the single call-site for ``ensure_extensions_registered`` in + ``database_hooks.py``. The registry owns all dispatch logic: + + 1. If ``extension_name`` is already registered — return immediately (no-op). + 2. Look up a ``CategoryHandler`` by ``extension_metadata`` in + ``_category_handlers``. + 3. If no handler is found, raise ``ValueError`` with a clear message + naming both the extension name and metadata bytes. + 4. Call ``handler.create_converter(extension_name, storage_type)`` to + obtain a converter. + 5. Call ``self.register(converter)`` to register it in this registry and + in PyArrow's / Polars' global registries. + + Args: + extension_name: Arrow extension type name (``ARROW:extension:name``). + extension_metadata: Category tag bytes (``ARROW:extension:metadata``), + or ``None`` if absent. + storage_type: Underlying Arrow storage type for this extension field. + + Raises: + ValueError: If no category handler is registered for ``extension_metadata``. + ValueError: If handler raises during converter construction. + """ +``` + +The "already registered" check in step 1 reuses `has_extension_name(extension_name)`. +This is the per-process caching mechanism — no separate module-level `set` is needed in +`database_hooks.py`; the registry's own `_by_name` dict is the cache. + +> **Post-PLT-1668 note:** The "already registered" check will use +> `get_by_arrow_extension_name(arrow_name)` from `LogicalTypeRegistry`. The parameter +> names and exact semantics of `extension_name` here will be reconciled with the +> `logical_type_name` / Arrow extension name distinction introduced in PLT-1668. + +--- + +## `database_hooks.py` + +**Location:** `src/orcapod/extension_types/database_hooks.py` + +```python +"""Peek-schema hook for extension type auto-registration at database read time. + +Call ``ensure_extensions_registered(schema)`` before returning any Arrow table +from a database read path. It is a no-op when the schema contains no extension +types. +""" + +from __future__ import annotations + +import pyarrow as pa + +from orcapod.extension_types import default_extension_type_registry +from orcapod.extension_types.schema_walker import walk_schema + + +def ensure_extensions_registered(schema: pa.Schema) -> None: + """Register any extension types found in ``schema`` that are not yet known. + + Walks ``schema`` recursively using the schema walker to discover all Arrow + extension types at any nesting depth. For each discovered type, delegates + to ``default_extension_type_registry.prepare_extension_type(...)``. + + Already-registered types are detected and skipped inside the registry — + this function itself is stateless. + + Args: + schema: The Arrow schema to inspect. May contain no extension types, + in which case this call is a no-op. + + Raises: + ValueError: Propagated from the registry if an extension type's category + metadata has no registered handler. + """ + for info in walk_schema(schema): + default_extension_type_registry.prepare_extension_type( + info.extension_name, + info.extension_metadata, + info.storage_type, + ) +``` + +This function is intentionally stateless and contains no dispatch logic. All complexity +lives in the registry. + +--- + +## Database call-site hooks + +Both modifications are strictly additive — a single new line in each method, no existing +logic altered. + +### `DeltaTableDatabase._read_delta_table` + +**Schema peek:** `DeltaTable.schema().to_arrow()` — this is a cheap metadata-only read +that does not scan any Parquet data files. + +The call is placed **after** the schema is obtained and **before** `dataset.to_table()` +is called. Registering extension types before materialising the Arrow table ensures +PyArrow can deserialise extension-typed columns correctly. + +```python +# Inside _read_delta_table, after: dataset = delta_table.to_pyarrow_dataset(...) +schema = delta_table.schema().to_arrow() +ensure_extensions_registered(schema) +# Existing table materialisation continues unchanged +``` + +### `ConnectorArrowDatabase._get_committed_table` + +**Schema peek:** The existing `iter_batches` call already fetches data; the schema is +available on the first batch via `batches[0].schema`. No additional query is needed. + +The call is placed after `batches` is populated but before the final `pa.Table.from_batches`: + +```python +batches = list(self._connector.iter_batches(f'SELECT * FROM "{table_name}"')) +if not batches: + return None +ensure_extensions_registered(batches[0].schema) +return pa.Table.from_batches(batches) +``` + +> **Note:** A `LIMIT 0` pre-query was considered to avoid fetching data before knowing +> whether extension type registration is needed, but was rejected: the existing code +> already fetches all batches in a single pass, and adding a second round-trip for a +> schema-only peek would increase latency for the common case where no extension types +> are present. The first-batch schema approach adds zero extra queries. + +--- + +## Per-process cache design + +The "per-process cache" described in the PLT-1655 issue is realised via the registry's +own `_by_name` dict. `prepare_extension_type` checks `has_extension_name(name)` as its +first step and returns immediately if the type is already registered. Because the +module-level `default_extension_type_registry` instance lives for the lifetime of the +process, this is equivalent to a module-level `set` cache — without the redundancy of +maintaining a parallel data structure. + +**No separate `set` in `database_hooks.py`.** The function is stateless; the registry +is the cache. + +--- + +## Error handling + +Unknown category metadata raises a `ValueError` from inside `prepare_extension_type`: + +``` +ValueError: No category handler is registered for extension metadata b"orcapod.custom". +Cannot prepare extension type 'com.example.MyType' for registration. +Register a CategoryHandler for this metadata tag via +default_extension_type_registry.register_category_handler(b"orcapod.custom", handler). +``` + +The message includes: the metadata bytes, the extension name, and a pointer to the +registration call needed to fix the problem. + +--- + +## Tests + +**`tests/test_extension_types/test_database_hooks.py`** + +| Test | What it covers | +|---|---| +| `test_no_extension_types_is_noop` | Schema with only primitives — `ensure_extensions_registered` returns without touching the registry | +| `test_known_type_is_registered` | Schema with one extension type whose category handler is registered — converter is registered in PA/Polars | +| `test_already_registered_is_skipped` | Call `ensure_extensions_registered` twice with the same schema — second call is a no-op (no duplicate registration error) | +| `test_unknown_metadata_raises` | Schema with extension type whose metadata has no handler — raises `ValueError` with extension name and metadata in message | +| `test_nested_extension_type` | Extension type inside a struct column — walker descends and hook registers it | +| `test_none_metadata_raises` | Extension type with `None` metadata and no `None`-keyed handler — raises `ValueError` | + +**`tests/test_extension_types/test_registry.py`** additions: + +| Test | What it covers | +|---|---| +| `test_register_category_handler` | Handler registered; `prepare_extension_type` dispatches to it | +| `test_prepare_already_registered_noop` | `prepare_extension_type` called twice — second is no-op | +| `test_prepare_unknown_metadata_raises` | Clear `ValueError` for unknown metadata | +| `test_register_duplicate_handler_raises` | `register_category_handler` with same tag twice raises `ValueError` | + +--- + +## Pending PLT-1668 + +PLT-1668 renames and redesigns the core extension type protocol and registry. The +following items in this spec are expected to change: + +| Item | Current (pre-PLT-1668) | Expected change | +|---|---|---| +| `ExtensionTypeConverter` | Protocol with `extension_name`, `extension_metadata`, `storage_type` properties | Renamed to `LogicalType`; extension type details encapsulated in `get_arrow_extension_type()` | +| `ExtensionTypeRegistry` | Registry keyed by `extension_name` | Renamed to `LogicalTypeRegistry`; three-way binding (`logical_type_name`, arrow ext name, python type) | +| `CategoryHandler.create_converter` return type | `ExtensionTypeConverter` | `LogicalType` | +| `prepare_extension_type` "already registered" check | `has_extension_name(name)` | `get_by_arrow_extension_name(arrow_ext_name)` from `LogicalTypeRegistry` | +| `prepare_extension_type` parameter `extension_name` | Arrow `ARROW:extension:name` value | Will need to reconcile with `logical_type_name` vs Arrow extension name distinction | +| `default_extension_type_registry` | `ExtensionTypeRegistry` instance | Renamed to `default_logical_type_registry` | + +**None of the `database_hooks.py` logic or the database call-site hooks are expected to +change** — the function signature `ensure_extensions_registered(schema: pa.Schema)` and +its stateless delegation pattern are stable regardless of the registry redesign. + +--- + +## Dependencies + +* PLT-1653 (`ExtensionTypeRegistry`) — **merged** into `extension-type-system` +* PLT-1654 (`schema_walker`) — **merged** into `extension-type-system` +* **PLT-1668** (`LogicalType` / `LogicalTypeRegistry` redesign) — **blocks this issue** From fc509941eff64815512f66290fb1611aba625c7c Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 22:31:22 +0000 Subject: [PATCH 057/206] docs(extension_types): finalize PLT-1655 design spec Updates draft spec with approved design: LogicalTypeFactory protocol, JSON-structured metadata with category dispatch key, prepare_extension_type 7-step flow with split error messages, and full test coverage including invalid JSON and missing category cases. --- ...26-06-14-plt-1655-database-hooks-design.md | 419 +++++++++++------- 1 file changed, 249 insertions(+), 170 deletions(-) diff --git a/superpowers/specs/2026-06-14-plt-1655-database-hooks-design.md b/superpowers/specs/2026-06-14-plt-1655-database-hooks-design.md index e30ebfa2..f165308b 100644 --- a/superpowers/specs/2026-06-14-plt-1655-database-hooks-design.md +++ b/superpowers/specs/2026-06-14-plt-1655-database-hooks-design.md @@ -2,13 +2,7 @@ **Date:** 2026-06-14 **Linear issue:** PLT-1655 -**Status:** DRAFT — blocked on PLT-1668 - -> ⚠️ **This spec is a work-in-progress and is expected to be revisited and updated once -> PLT-1668 lands.** PLT-1668 redesigns `ExtensionTypeConverter` → `LogicalType` and -> `ExtensionTypeRegistry` → `LogicalTypeRegistry`. Several naming and signature decisions -> below will change when that redesign is complete. See the -> [Pending PLT-1668](#pending-plt-1668) section for an explicit list of what is unsettled. +**Status:** Approved --- @@ -17,10 +11,11 @@ Wire a single, additive call into the two existing database read methods so that any Arrow extension types present in a schema are automatically registered in both PyArrow's and Polars' global registries before data is returned. Repeated reads within the same process -are cheap because already-registered types are detected and skipped by the registry. +are cheap because already-registered types are detected and skipped by the registry's +three-way binding. The peek helper itself stays deliberately dumb: it walks the schema, then delegates each -found type to the registry. All handler dispatch logic lives in the registry. +found type to the registry. All factory dispatch logic lives in the registry. --- @@ -29,14 +24,26 @@ found type to the registry. All handler dispatch logic lives in the registry. * `ensure_extensions_registered(schema)` in `extension_types/database_hooks.py` is called before every table return in `DeltaTableDatabase._read_delta_table()` and `ConnectorArrowDatabase._get_committed_table()`. -* When the schema contains no extension types the call is a no-op; existing tests continue - to pass unchanged. -* When the schema contains a known extension type (one whose category handler is - registered) the type is registered in PyArrow and Polars before the table is returned. -* When the schema contains an extension type whose category metadata is unknown, a clear - `ValueError` is raised naming the extension name and metadata bytes. -* Repeated reads that encounter the same extension type are effectively free — the - registry is idempotent (already-registered types are detected and skipped). +* When the schema contains no extension types the call is a no-op; existing tests + continue to pass unchanged. +* For each extension type found in the schema, `prepare_extension_type` applies checks + in this order: + 1. **Already registered** (by Arrow extension name in `default_logical_type_registry`) + → silent no-op. This is the common fast path for all types after first registration, + including built-ins like `arrow.uuid` pre-registered at import time by PLT-1656. + Metadata value is irrelevant — `None` metadata on an already-registered type never + causes an error. + 2. **Not registered, non-`None` metadata, matching factory** → factory constructs a + `LogicalType` and it is registered in PyArrow, Polars, and the registry before the + table is returned. + 3. **Not registered, non-`None` metadata, no matching factory** → clear `ValueError` + naming the extension name and metadata tag, with a pointer to + `register_logical_type_factory`. + 4. **Not registered, `None` metadata** → clear `ValueError` explaining that types + without a category tag cannot be auto-registered via a factory and must be + pre-registered explicitly via `registry.register(logical_type)`. +* Sufficient `DEBUG`-level logging throughout so that extension type discovery, + registration decisions, and factory dispatch are observable without code changes. --- @@ -48,18 +55,18 @@ In scope: (`_read_delta_table`) * Additive modification of `src/orcapod/databases/connector_arrow_database.py` (`_get_committed_table`) -* New `CategoryHandler` Protocol in `src/orcapod/extension_types/protocols.py` -* New methods on `ExtensionTypeRegistry` (pending rename to `LogicalTypeRegistry`): - `register_category_handler` and `prepare_extension_type` +* New `LogicalTypeFactory` Protocol in `src/orcapod/extension_types/protocols.py` +* New methods on `LogicalTypeRegistry` (`registry.py`): + `register_logical_type_factory` and `prepare_extension_type` * Additive exports in `src/orcapod/extension_types/__init__.py` * Tests for all new code Out of scope: -* Implementing concrete category handlers (PLT-1657 `dataclass_handler`, - PLT-1658 `picklable_handler`) — they will call `register_category_handler` on +* Implementing concrete `LogicalTypeFactory` instances (PLT-1657 `dataclass_handler`, + PLT-1658 `picklable_handler`) — they will call `register_logical_type_factory` on the module-level registry instance at import time * Built-in logical type registrations (PLT-1656) -* Thread safety of the global shadow dicts (deferred) +* Thread safety of the global registry dicts (deferred) * Any change to `semantic_types/` (old system, untouched until PLT-1660) --- @@ -70,8 +77,8 @@ Out of scope: | File | Change | |---|---| -| `src/orcapod/extension_types/protocols.py` | Add `CategoryHandler` Protocol | -| `src/orcapod/extension_types/registry.py` | Add `register_category_handler`, `prepare_extension_type` | +| `src/orcapod/extension_types/protocols.py` | Add `LogicalTypeFactory` Protocol | +| `src/orcapod/extension_types/registry.py` | Add `register_logical_type_factory`, `prepare_extension_type` | | `src/orcapod/extension_types/database_hooks.py` | **New** — `ensure_extensions_registered` | | `src/orcapod/extension_types/__init__.py` | Additive exports | | `src/orcapod/databases/delta_lake_databases.py` | Additive — call in `_read_delta_table` | @@ -80,128 +87,194 @@ Out of scope: --- -## `CategoryHandler` Protocol +## `LogicalTypeFactory` Protocol **Location:** `src/orcapod/extension_types/protocols.py` -`CategoryHandler` is a pure factory. Given an Arrow extension name and its storage type -(both extracted from the schema by the walker), it constructs a fully-formed converter -instance (currently `ExtensionTypeConverter`; renamed to `LogicalType` after PLT-1668). -The category tag that routes to this handler is declared by the caller at registration -time — the handler itself has no knowledge of its dispatch key. +`LogicalTypeFactory` is a pure factory. Given an Arrow extension name, its storage type, +and the full parsed metadata dict (both the Arrow fields extracted from the schema by the +walker, and the metadata parsed from JSON), it constructs a fully-formed `LogicalType` +instance ready to pass to `LogicalTypeRegistry.register()`. + +The `category` string that routes to this factory is declared by the caller at +registration time — the factory itself has no knowledge of its dispatch key, but receives +the full metadata dict so it can read additional hints (e.g. version, serialisation +format) beyond just the category. + +### Metadata format + +`extension_metadata` bytes are expected to be **UTF-8-encoded JSON** with at least a +`"category"` key: + +```json +{"category": "Dataclass"} +{"category": "Pickle", "protocol": 5} +{"category": "Pydantic", "pydantic_version": 2} +``` + +The `category` value is the factory dispatch key. All other fields are passed through to +the factory as-is and interpreted by the factory implementation. + +### Protocol definition ```python -class CategoryHandler(Protocol): - def create_converter( +class LogicalTypeFactory(Protocol): + def create_logical_type( self, - extension_name: str, + arrow_extension_name: str, storage_type: pa.DataType, - ) -> ExtensionTypeConverter: - """Construct a converter for the given extension name and storage type. + metadata: dict, + ) -> LogicalType: + """Construct a ``LogicalType`` for the given Arrow extension name and storage type. Args: - extension_name: The Arrow extension type name extracted from the schema - (i.e. the value of ``ARROW:extension:name`` field metadata). + arrow_extension_name: The Arrow extension type name extracted from the + schema (i.e. the value of ``ARROW:extension:name`` field metadata). storage_type: The underlying Arrow storage type for this extension field. + metadata: The full parsed JSON metadata dict. Always contains at least a + ``"category"`` key. May contain additional keys the factory uses (e.g. + ``"protocol"``, ``"pydantic_version"``). Returns: - A fully constructed ``ExtensionTypeConverter`` ready to be passed to - ``ExtensionTypeRegistry.register()``. + A fully constructed ``LogicalType`` ready to be passed to + ``LogicalTypeRegistry.register()``. Raises: - ValueError: If this handler cannot construct a converter for the given - extension name (e.g. the Python class cannot be resolved). + ValueError: If this factory cannot construct a logical type for the given + extension name (e.g. the Python class cannot be resolved by name). """ ... ``` -> **Post-PLT-1668 note:** `create_converter` return type changes from -> `ExtensionTypeConverter` to `LogicalType`. The `extension_name` parameter meaning may -> shift slightly depending on how `logical_type_name` vs Arrow extension name are -> distinguished in the new design — see [Pending PLT-1668](#pending-plt-1668). +This protocol is `@runtime_checkable`, consistent with `LogicalType`. --- -## `ExtensionTypeRegistry` additions +## `LogicalTypeRegistry` additions **Location:** `src/orcapod/extension_types/registry.py` -Two new methods are added to `ExtensionTypeRegistry` (to be renamed `LogicalTypeRegistry` -post-PLT-1668). The existing public API is unchanged. +Two new methods are added to `LogicalTypeRegistry`. The existing public API is unchanged. -### `register_category_handler` +### `register_logical_type_factory` ```python -def register_category_handler( +def register_logical_type_factory( self, - metadata_tag: bytes, - handler: CategoryHandler, + category: str, + factory: LogicalTypeFactory, ) -> None: - """Register a category handler for the given metadata tag. + """Register a factory for the given metadata category string. - When ``prepare_extension_type`` encounters an extension type whose - ``extension_metadata`` bytes match ``metadata_tag``, it calls - ``handler.create_converter(extension_name, storage_type)`` to construct - the converter and then registers it. + When ``prepare_extension_type`` encounters an Arrow extension type whose + ``extension_metadata`` JSON contains ``{"category": "", ...}``, + it calls ``factory.create_logical_type(arrow_extension_name, storage_type, + metadata_dict)`` to construct the logical type and then registers it. Args: - metadata_tag: The ``extension_metadata`` bytes value that identifies - this category (e.g. ``b"orcapod.dataclass"``). - handler: A ``CategoryHandler`` instance responsible for constructing - converters for this category. + category: The ``"category"`` value from the extension metadata JSON that + identifies this category (e.g. ``"Dataclass"``). + factory: A ``LogicalTypeFactory`` instance responsible for constructing + logical types for this category. Raises: - ValueError: If ``metadata_tag`` is already registered to a different handler. + ValueError: If ``category`` is already registered to a different factory. """ ``` -The registry stores handlers in a new `_category_handlers: dict[bytes, CategoryHandler]` -instance attribute, populated at construction with an empty dict. +Stores factories in a new `_factories: dict[str, LogicalTypeFactory]` instance +attribute initialised to `{}` in `__init__`. + +Logging: +* `DEBUG`: `"registered LogicalTypeFactory for category %r: %r"` on success. ### `prepare_extension_type` ```python def prepare_extension_type( self, - extension_name: str, + arrow_extension_name: str, extension_metadata: bytes | None, storage_type: pa.DataType, ) -> None: - """Ensure the extension type identified by ``extension_name`` is registered. - - This is the single call-site for ``ensure_extensions_registered`` in - ``database_hooks.py``. The registry owns all dispatch logic: - - 1. If ``extension_name`` is already registered — return immediately (no-op). - 2. Look up a ``CategoryHandler`` by ``extension_metadata`` in - ``_category_handlers``. - 3. If no handler is found, raise ``ValueError`` with a clear message - naming both the extension name and metadata bytes. - 4. Call ``handler.create_converter(extension_name, storage_type)`` to - obtain a converter. - 5. Call ``self.register(converter)`` to register it in this registry and - in PyArrow's / Polars' global registries. + """Ensure the Arrow extension type identified by ``arrow_extension_name`` + is registered as a ``LogicalType``. + + This is the single entry point called by ``ensure_extensions_registered`` + in ``database_hooks``. The registry owns all dispatch logic: + + 1. If ``arrow_extension_name`` is already in the three-way binding + (``get_by_arrow_extension_name`` returns non-``None``) — return + immediately (per-process cache hit). Metadata is not inspected. + 2. If ``extension_metadata`` is ``None``, raise ``ValueError`` directing + the caller to pre-register the type explicitly. + 3. Attempt to decode ``extension_metadata`` as UTF-8 JSON. If decoding + or parsing fails, raise ``ValueError`` with the raw bytes and the + parse error. + 4. Extract the ``"category"`` key from the parsed dict. If absent, raise + ``ValueError`` naming the extension and the raw metadata. + 5. Look up a ``LogicalTypeFactory`` by the ``category`` string in + ``_factories``. If not found, raise ``ValueError`` naming the extension, + the category, and the registration call needed. + 6. Call ``factory.create_logical_type(arrow_extension_name, storage_type, + metadata_dict)`` to obtain a ``LogicalType``. + 7. Call ``self.register(logical_type)`` to complete the three-way binding + and side-effect-register in PyArrow's and Polars' global registries. Args: - extension_name: Arrow extension type name (``ARROW:extension:name``). - extension_metadata: Category tag bytes (``ARROW:extension:metadata``), - or ``None`` if absent. + arrow_extension_name: Arrow extension type name (``ARROW:extension:name``). + extension_metadata: Raw metadata bytes (``ARROW:extension:metadata``), + expected to be UTF-8 JSON containing at least a ``"category"`` key. + ``None`` if absent. storage_type: Underlying Arrow storage type for this extension field. Raises: - ValueError: If no category handler is registered for ``extension_metadata``. - ValueError: If handler raises during converter construction. + ValueError: If ``extension_metadata`` is ``None``. + ValueError: If ``extension_metadata`` is not valid UTF-8 JSON. + ValueError: If the parsed JSON has no ``"category"`` key. + ValueError: If no factory is registered for the ``"category"`` value. + ValueError: Propagated from the factory if it cannot construct a type. """ ``` -The "already registered" check in step 1 reuses `has_extension_name(extension_name)`. -This is the per-process caching mechanism — no separate module-level `set` is needed in -`database_hooks.py`; the registry's own `_by_name` dict is the cache. +Logging: +* `DEBUG`: `"prepare_extension_type: %r already registered, skipping"` on cache hit (step 1). +* `DEBUG`: `"prepare_extension_type: %r not registered — dispatching to category %r factory"` before factory call (step 6). +* `DEBUG`: `"prepare_extension_type: successfully registered %r via %r factory"` after `self.register` returns (step 7). + +Error messages: + +**Step 2 — `None` metadata:** +``` +ValueError: Extension type '' has no extension metadata (metadata is None). +Types without a metadata category tag cannot be auto-registered via a factory — +they must be pre-registered explicitly via +default_logical_type_registry.register(logical_type). +``` + +**Step 3 — metadata not valid JSON:** +``` +ValueError: Extension type '' has extension metadata that is not valid UTF-8 JSON: +b''. Parse error: . +Extension metadata must be a JSON object with at least a "category" key, e.g. +{"category": "Dataclass"}. +``` -> **Post-PLT-1668 note:** The "already registered" check will use -> `get_by_arrow_extension_name(arrow_name)` from `LogicalTypeRegistry`. The parameter -> names and exact semantics of `extension_name` here will be reconciled with the -> `logical_type_name` / Arrow extension name distinction introduced in PLT-1668. +**Step 4 — JSON missing `"category"` key:** +``` +ValueError: Extension type '' has extension metadata JSON with no "category" key: +. Extension metadata must be a JSON object with at least a "category" key, +e.g. {"category": "Dataclass"}. +``` + +**Step 5 — no factory for category:** +``` +ValueError: No LogicalTypeFactory is registered for category ''. +Cannot prepare extension type '' for registration. +Register a factory via default_logical_type_registry.register_logical_type_factory( + '', factory +). +``` --- @@ -219,18 +292,22 @@ types. from __future__ import annotations +import logging + import pyarrow as pa -from orcapod.extension_types import default_extension_type_registry +from orcapod.extension_types import default_logical_type_registry from orcapod.extension_types.schema_walker import walk_schema +logger = logging.getLogger(__name__) + def ensure_extensions_registered(schema: pa.Schema) -> None: """Register any extension types found in ``schema`` that are not yet known. - Walks ``schema`` recursively using the schema walker to discover all Arrow - extension types at any nesting depth. For each discovered type, delegates - to ``default_extension_type_registry.prepare_extension_type(...)``. + Walks ``schema`` recursively to discover all Arrow extension types at any + nesting depth. For each discovered type, delegates to + ``default_logical_type_registry.prepare_extension_type``. Already-registered types are detected and skipped inside the registry — this function itself is stateless. @@ -241,48 +318,58 @@ def ensure_extensions_registered(schema: pa.Schema) -> None: Raises: ValueError: Propagated from the registry if an extension type's category - metadata has no registered handler. + metadata has no registered factory. """ - for info in walk_schema(schema): - default_extension_type_registry.prepare_extension_type( + found = walk_schema(schema) + if not found: + logger.debug("ensure_extensions_registered: no extension types in schema") + return + logger.debug( + "ensure_extensions_registered: found %d extension type(s) in schema: %s", + len(found), + [info.extension_name for info in found], + ) + for info in found: + default_logical_type_registry.prepare_extension_type( info.extension_name, info.extension_metadata, info.storage_type, ) ``` -This function is intentionally stateless and contains no dispatch logic. All complexity -lives in the registry. +This function is intentionally stateless and contains no dispatch logic. --- ## Database call-site hooks -Both modifications are strictly additive — a single new line in each method, no existing -logic altered. +Both modifications are strictly additive — a single new import and a single new call in +each method, no existing logic altered. ### `DeltaTableDatabase._read_delta_table` -**Schema peek:** `DeltaTable.schema().to_arrow()` — this is a cheap metadata-only read -that does not scan any Parquet data files. +**Schema peek:** `DeltaTable.schema().to_arrow()` — cheap metadata-only read, no Parquet +data scan. -The call is placed **after** the schema is obtained and **before** `dataset.to_table()` -is called. Registering extension types before materialising the Arrow table ensures -PyArrow can deserialise extension-typed columns correctly. +The call is placed **immediately after** `dataset = delta_table.to_pyarrow_dataset(...)`, +before the filter-building block. Failing fast before any filter work is done if a +category metadata has no registered factory. ```python -# Inside _read_delta_table, after: dataset = delta_table.to_pyarrow_dataset(...) +# Immediately after: dataset = delta_table.to_pyarrow_dataset(as_large_types=True) schema = delta_table.schema().to_arrow() ensure_extensions_registered(schema) -# Existing table materialisation continues unchanged +# Existing filter-building and table materialisation continue unchanged ``` -### `ConnectorArrowDatabase._get_committed_table` +Logging (in `delta_lake_databases.py`): +* `DEBUG`: `"_read_delta_table: peeking schema for extension type registration"` before the + peek call. -**Schema peek:** The existing `iter_batches` call already fetches data; the schema is -available on the first batch via `batches[0].schema`. No additional query is needed. +### `ConnectorArrowDatabase._get_committed_table` -The call is placed after `batches` is populated but before the final `pa.Table.from_batches`: +**Schema peek:** `batches[0].schema` — schema from the already-fetched first batch. No +additional query needed; no extra round-trip. ```python batches = list(self._connector.iter_batches(f'SELECT * FROM "{table_name}"')) @@ -292,41 +379,45 @@ ensure_extensions_registered(batches[0].schema) return pa.Table.from_batches(batches) ``` -> **Note:** A `LIMIT 0` pre-query was considered to avoid fetching data before knowing -> whether extension type registration is needed, but was rejected: the existing code -> already fetches all batches in a single pass, and adding a second round-trip for a -> schema-only peek would increase latency for the common case where no extension types -> are present. The first-batch schema approach adds zero extra queries. +Logging (in `connector_arrow_database.py`): +* `DEBUG`: `"_get_committed_table: peeking schema for extension type registration"` before + the peek call. + +> **Design note:** A `LIMIT 0` pre-query was considered to avoid fetching all data before +> knowing whether extension type registration is needed, but was rejected. The existing +> code already fetches all batches in a single pass; adding a second round-trip for a +> schema-only peek would increase latency for the common no-extension-types case. The +> first-batch schema approach adds zero extra queries. --- ## Per-process cache design -The "per-process cache" described in the PLT-1655 issue is realised via the registry's -own `_by_name` dict. `prepare_extension_type` checks `has_extension_name(name)` as its -first step and returns immediately if the type is already registered. Because the -module-level `default_extension_type_registry` instance lives for the lifetime of the -process, this is equivalent to a module-level `set` cache — without the redundancy of -maintaining a parallel data structure. +The per-process cache is `LogicalTypeRegistry._by_arrow_name`. The first call to +`prepare_extension_type` for a given `arrow_extension_name` performs factory dispatch and +registers the `LogicalType`. Every subsequent call for the same name hits the +`get_by_arrow_extension_name` check and returns immediately. -**No separate `set` in `database_hooks.py`.** The function is stateless; the registry -is the cache. +Because `default_logical_type_registry` is a module-level singleton that lives for the +process lifetime, this provides exactly the per-process caching semantics described in +PLT-1655. No separate `set` is needed in `database_hooks.py` — the registry is the cache. --- -## Error handling +## Logging summary -Unknown category metadata raises a `ValueError` from inside `prepare_extension_type`: - -``` -ValueError: No category handler is registered for extension metadata b"orcapod.custom". -Cannot prepare extension type 'com.example.MyType' for registration. -Register a CategoryHandler for this metadata tag via -default_extension_type_registry.register_category_handler(b"orcapod.custom", handler). -``` +| Location | Level | Message | +|---|---|---| +| `database_hooks.ensure_extensions_registered` | DEBUG | No extension types found in schema | +| `database_hooks.ensure_extensions_registered` | DEBUG | N extension types found, lists names | +| `registry.prepare_extension_type` | DEBUG | Already registered — skipping | +| `registry.prepare_extension_type` | DEBUG | Not registered — dispatching to category factory | +| `registry.prepare_extension_type` | DEBUG | Successfully registered via factory | +| `registry.register_logical_type_factory` | DEBUG | Factory registered for category string | +| `delta_lake_databases._read_delta_table` | DEBUG | Peeking schema for extension type registration | +| `connector_arrow_database._get_committed_table` | DEBUG | Peeking schema for extension type registration | -The message includes: the metadata bytes, the extension name, and a pointer to the -registration call needed to fix the problem. +All messages use `%r`/`%s` lazy formatting (no f-strings in log calls). --- @@ -336,46 +427,34 @@ registration call needed to fix the problem. | Test | What it covers | |---|---| -| `test_no_extension_types_is_noop` | Schema with only primitives — `ensure_extensions_registered` returns without touching the registry | -| `test_known_type_is_registered` | Schema with one extension type whose category handler is registered — converter is registered in PA/Polars | -| `test_already_registered_is_skipped` | Call `ensure_extensions_registered` twice with the same schema — second call is a no-op (no duplicate registration error) | -| `test_unknown_metadata_raises` | Schema with extension type whose metadata has no handler — raises `ValueError` with extension name and metadata in message | +| `test_no_extension_types_is_noop` | Schema with only primitives — returns without touching registry | +| `test_known_type_is_registered` | Schema with one extension type whose factory is registered — logical type registered in PA/Polars | +| `test_already_registered_is_skipped` | Call `ensure_extensions_registered` twice — second call is no-op, no duplicate error | +| `test_unknown_metadata_raises` | Unregistered extension type with valid JSON metadata but no matching factory — raises `ValueError` with name and category in message | +| `test_metadata_not_json_raises` | Unregistered extension type with metadata bytes that are not valid JSON — raises `ValueError` with raw bytes and parse error | +| `test_metadata_json_missing_category_raises` | Unregistered extension type with valid JSON metadata but no `"category"` key — raises `ValueError` naming the extension and parsed dict | +| `test_none_metadata_not_registered_raises` | Unregistered extension type with `None` metadata — raises `ValueError` telling caller to pre-register explicitly (not via factory) | +| `test_none_metadata_already_registered_noop` | Extension type with `None` metadata that IS already in the registry — silent no-op, no error | | `test_nested_extension_type` | Extension type inside a struct column — walker descends and hook registers it | -| `test_none_metadata_raises` | Extension type with `None` metadata and no `None`-keyed handler — raises `ValueError` | **`tests/test_extension_types/test_registry.py`** additions: | Test | What it covers | |---|---| -| `test_register_category_handler` | Handler registered; `prepare_extension_type` dispatches to it | -| `test_prepare_already_registered_noop` | `prepare_extension_type` called twice — second is no-op | -| `test_prepare_unknown_metadata_raises` | Clear `ValueError` for unknown metadata | -| `test_register_duplicate_handler_raises` | `register_category_handler` with same tag twice raises `ValueError` | - ---- - -## Pending PLT-1668 - -PLT-1668 renames and redesigns the core extension type protocol and registry. The -following items in this spec are expected to change: - -| Item | Current (pre-PLT-1668) | Expected change | -|---|---|---| -| `ExtensionTypeConverter` | Protocol with `extension_name`, `extension_metadata`, `storage_type` properties | Renamed to `LogicalType`; extension type details encapsulated in `get_arrow_extension_type()` | -| `ExtensionTypeRegistry` | Registry keyed by `extension_name` | Renamed to `LogicalTypeRegistry`; three-way binding (`logical_type_name`, arrow ext name, python type) | -| `CategoryHandler.create_converter` return type | `ExtensionTypeConverter` | `LogicalType` | -| `prepare_extension_type` "already registered" check | `has_extension_name(name)` | `get_by_arrow_extension_name(arrow_ext_name)` from `LogicalTypeRegistry` | -| `prepare_extension_type` parameter `extension_name` | Arrow `ARROW:extension:name` value | Will need to reconcile with `logical_type_name` vs Arrow extension name distinction | -| `default_extension_type_registry` | `ExtensionTypeRegistry` instance | Renamed to `default_logical_type_registry` | - -**None of the `database_hooks.py` logic or the database call-site hooks are expected to -change** — the function signature `ensure_extensions_registered(schema: pa.Schema)` and -its stateless delegation pattern are stable regardless of the registry redesign. +| `test_register_logical_type_factory` | Factory registered by category; `prepare_extension_type` dispatches to it and registers result | +| `test_factory_receives_full_metadata_dict` | Factory `create_logical_type` is called with the full parsed JSON dict, not just the category | +| `test_prepare_already_registered_noop` | `prepare_extension_type` called twice — second call is no-op | +| `test_prepare_already_registered_none_metadata_noop` | Type pre-registered; `None` metadata on subsequent call → no-op, no error | +| `test_prepare_none_metadata_not_registered_raises` | `None` metadata, type not in registry — `ValueError` telling caller to pre-register directly | +| `test_prepare_invalid_json_raises` | `extension_metadata` is not valid UTF-8 JSON — `ValueError` with raw bytes and parse error | +| `test_prepare_json_missing_category_raises` | Valid JSON but no `"category"` key — `ValueError` naming the extension and parsed dict | +| `test_prepare_unknown_category_raises` | Valid JSON with `"category"` but no matching factory — `ValueError` with category and registration hint | +| `test_register_duplicate_category_raises` | `register_logical_type_factory` with same category twice raises `ValueError` | --- ## Dependencies -* PLT-1653 (`ExtensionTypeRegistry`) — **merged** into `extension-type-system` -* PLT-1654 (`schema_walker`) — **merged** into `extension-type-system` -* **PLT-1668** (`LogicalType` / `LogicalTypeRegistry` redesign) — **blocks this issue** +* PLT-1653 (`ExtensionTypeRegistry` → `LogicalTypeRegistry`) — **merged** +* PLT-1654 (`schema_walker`) — **merged** +* PLT-1668 (`LogicalType` / `LogicalTypeRegistry` redesign) — **merged** (unblocked) From 100e3d55b0669d20054b085fe08f4b51d27a4035 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 23:23:33 +0000 Subject: [PATCH 058/206] feat(extension_types): add LogicalTypeFactory protocol and registry logging setup - Add LogicalTypeFactory protocol to protocols.py with create_logical_type method - Add logging infrastructure to registry.py (json, logging imports, logger instance) - Import LogicalTypeFactory in registry.py imports section - Add 3 factory conformance tests to test_protocols.py Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/protocols.py | 42 ++++++++++++++++++++ src/orcapod/extension_types/registry.py | 6 ++- tests/test_extension_types/test_protocols.py | 29 ++++++++++++++ 3 files changed, 76 insertions(+), 1 deletion(-) diff --git a/src/orcapod/extension_types/protocols.py b/src/orcapod/extension_types/protocols.py index c4d3af73..4ea50d5e 100644 --- a/src/orcapod/extension_types/protocols.py +++ b/src/orcapod/extension_types/protocols.py @@ -88,3 +88,45 @@ def storage_to_python(self, storage_value: Any) -> Any: A Python object of type ``python_type``. """ ... + + +@runtime_checkable +class LogicalTypeFactory(Protocol): + """Protocol for factories that auto-construct ``LogicalType`` instances from Arrow schema metadata. + + A ``LogicalTypeFactory`` constructs a ``LogicalType`` from the Arrow extension + type name, its underlying storage type, and the full parsed JSON metadata dict. + The dispatch key (``"category"`` value from the metadata JSON) that routes to this + factory is declared at registration time via + ``LogicalTypeRegistry.register_logical_type_factory``; the factory itself has no + knowledge of its dispatch key but receives the full metadata dict so it can read + additional hints beyond ``"category"``. + + This protocol is ``@runtime_checkable``, consistent with ``LogicalType``. + """ + + def create_logical_type( + self, + arrow_extension_name: str, + storage_type: pa.DataType, + metadata: dict, + ) -> LogicalType: + """Construct a ``LogicalType`` for the given Arrow extension name and storage type. + + Args: + arrow_extension_name: The Arrow extension type name extracted from the + schema (i.e. the value of ``ARROW:extension:name`` field metadata). + storage_type: The underlying Arrow storage type for this extension field. + metadata: The full parsed JSON metadata dict. Always contains at least a + ``"category"`` key. May contain additional keys the factory uses (e.g. + ``"protocol"``, ``"pydantic_version"``). + + Returns: + A fully constructed ``LogicalType`` ready to be passed to + ``LogicalTypeRegistry.register()``. + + Raises: + ValueError: If this factory cannot construct a logical type for the given + extension name (e.g. the Python class cannot be resolved by name). + """ + ... diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 74bb94b2..78d0bfde 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -6,10 +6,12 @@ from __future__ import annotations +import json +import logging import re from typing import TYPE_CHECKING -from orcapod.extension_types.protocols import LogicalType +from orcapod.extension_types.protocols import LogicalType, LogicalTypeFactory from orcapod.utils.lazy_module import LazyModule if TYPE_CHECKING: @@ -19,6 +21,8 @@ pa = LazyModule("pyarrow") pl = LazyModule("polars") +logger = logging.getLogger(__name__) + def _sanitize(name: str) -> str: """Replace non-alphanumeric characters with underscores. diff --git a/tests/test_extension_types/test_protocols.py b/tests/test_extension_types/test_protocols.py index c4763885..85cd215e 100644 --- a/tests/test_extension_types/test_protocols.py +++ b/tests/test_extension_types/test_protocols.py @@ -41,6 +41,35 @@ def storage_to_python(self, storage_value): return storage_value +class _StubFactory: + """Minimal conforming implementation of LogicalTypeFactory for use in tests.""" + + def create_logical_type(self, arrow_extension_name, storage_type, metadata): + return _StubLogicalType() + + +def test_logical_type_factory_protocol_is_importable(): + """LogicalTypeFactory can be imported from extension_types.protocols.""" + from orcapod.extension_types.protocols import LogicalTypeFactory + assert LogicalTypeFactory is not None + + +def test_logical_type_factory_conforming_class_satisfies_protocol(): + """A conforming class is recognized as a LogicalTypeFactory instance.""" + from orcapod.extension_types.protocols import LogicalTypeFactory + assert isinstance(_StubFactory(), LogicalTypeFactory) + + +def test_logical_type_factory_create_returns_logical_type(): + """A conforming factory returns a LogicalType from create_logical_type.""" + from orcapod.extension_types.protocols import LogicalTypeFactory, LogicalType + factory: LogicalTypeFactory = _StubFactory() + result = factory.create_logical_type( + "test.ext", pa.large_utf8(), {"category": "Test"} + ) + assert isinstance(result, LogicalType) + + def test_protocol_is_importable(): """LogicalType can be imported from extension_types.protocols.""" assert LogicalType is not None From ba13ff96dbd28728a7ee4a838fc1af23cf0075b2 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 23:29:39 +0000 Subject: [PATCH 059/206] fix(extension_types): remove premature import, fix stale docstrings, precise metadata type MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Remove premature LogicalTypeFactory import from registry.py (will be added back in Task 3) - Update protocols.py module docstring to mention both LogicalType and LogicalTypeFactory - Update registry.py make_arrow_extension_type docstring: "future LogicalTypeFactory" → "LogicalTypeFactory (see ...)" - Change metadata parameter type to dict[str, Any] in LogicalTypeFactory.create_logical_type signature and docstring All existing tests pass (50/50). Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/protocols.py | 10 ++++++---- src/orcapod/extension_types/registry.py | 6 +++--- 2 files changed, 9 insertions(+), 7 deletions(-) diff --git a/src/orcapod/extension_types/protocols.py b/src/orcapod/extension_types/protocols.py index 4ea50d5e..5ad64361 100644 --- a/src/orcapod/extension_types/protocols.py +++ b/src/orcapod/extension_types/protocols.py @@ -1,7 +1,9 @@ """Protocol definitions for the Arrow/Polars extension type system. -This module defines ``LogicalType`` — the contract for all implementations -that bind a Python class to its Arrow and Polars extension type representation. +This module defines ``LogicalType`` and ``LogicalTypeFactory`` — the contracts +for implementations that bind a Python class to its Arrow and Polars extension +type representation, and for factories that auto-construct such implementations +from Arrow schema metadata. Note: This module is part of the parallel-build phase. The old @@ -109,7 +111,7 @@ def create_logical_type( self, arrow_extension_name: str, storage_type: pa.DataType, - metadata: dict, + metadata: dict[str, Any], ) -> LogicalType: """Construct a ``LogicalType`` for the given Arrow extension name and storage type. @@ -117,7 +119,7 @@ def create_logical_type( arrow_extension_name: The Arrow extension type name extracted from the schema (i.e. the value of ``ARROW:extension:name`` field metadata). storage_type: The underlying Arrow storage type for this extension field. - metadata: The full parsed JSON metadata dict. Always contains at least a + metadata: The full parsed JSON metadata dict (``dict[str, Any]``). Always contains at least a ``"category"`` key. May contain additional keys the factory uses (e.g. ``"protocol"``, ``"pydantic_version"``). diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 78d0bfde..96606fc4 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -11,7 +11,7 @@ import re from typing import TYPE_CHECKING -from orcapod.extension_types.protocols import LogicalType, LogicalTypeFactory +from orcapod.extension_types.protocols import LogicalType from orcapod.utils.lazy_module import LazyModule if TYPE_CHECKING: @@ -59,8 +59,8 @@ def make_arrow_extension_type( ``metadata`` can optionally encode a **LogicalType category** — a short identifier (e.g. ``b"Dataclass"``, ``b"Pydantic"``, ``b"Pickle"``) that classifies the kind of Python type being - represented. A future ``LogicalTypeFactory`` will inspect this - category when reading schemas from IPC or Parquet files and use it + represented. A ``LogicalTypeFactory`` (see ``LogicalTypeFactory.create_logical_type``) + inspects this category when reading schemas from IPC or Parquet files and uses it to auto-generate the correct ``LogicalType`` for the specific Python class within that category, without requiring explicit prior registration. From 625bf2f40eca0d279d7fdd5c8c55286b45a08cb3 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 23:31:01 +0000 Subject: [PATCH 060/206] refactor(extension_types): move default_logical_type_registry singleton to registry.py Moves the singleton from __init__.py to registry.py to eliminate a circular import that would otherwise occur when database_hooks.py imports from orcapod.extension_types.registry directly (to avoid the circular import between database_hooks and __init__.py). Also adds LogicalTypeFactory to __init__.py exports (was added to protocols.py in Task 1 but not yet re-exported). Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/__init__.py | 3 ++- src/orcapod/extension_types/registry.py | 6 ++++++ 2 files changed, 8 insertions(+), 1 deletion(-) diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index 04f7da42..9f3beaad 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -13,12 +13,13 @@ from __future__ import annotations -from .protocols import LogicalType +from .protocols import LogicalType, LogicalTypeFactory from .registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema __all__ = [ "LogicalType", + "LogicalTypeFactory", "LogicalTypeRegistry", "make_arrow_extension_type", "make_polars_extension_type", diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 96606fc4..755a3eda 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -285,3 +285,9 @@ def get_by_python_type(self, python_type: type) -> LogicalType | None: def get_by_arrow_extension_name(self, arrow_name: str) -> LogicalType | None: """Return the logical type registered under *arrow_name*, or ``None``.""" return self._by_arrow_name.get(arrow_name) + + +# Module-level singleton — per-process registry used by database_hooks and +# application code. Defined here (not in __init__.py) to avoid the circular +# import that would arise if database_hooks imported from the package __init__. +default_logical_type_registry = LogicalTypeRegistry() From 95b9c5a71401fd623156f666f068341b56d26e7b Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 23:33:30 +0000 Subject: [PATCH 061/206] feat(extension_types): add _factories dict and register_logical_type_factory to LogicalTypeRegistry Add a _factories dict to LogicalTypeRegistry to store LogicalTypeFactory instances keyed by category string. Implement register_logical_type_factory method with idempotent registration (same instance) and ValueError for duplicate categories. Add _make_stub_factory helper and three tests. Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/registry.py | 37 +++++++++++++- tests/test_extension_types/test_registry.py | 54 ++++++++++++++++++++- 2 files changed, 89 insertions(+), 2 deletions(-) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 755a3eda..3edca617 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -11,7 +11,7 @@ import re from typing import TYPE_CHECKING -from orcapod.extension_types.protocols import LogicalType +from orcapod.extension_types.protocols import LogicalType, LogicalTypeFactory from orcapod.utils.lazy_module import LazyModule if TYPE_CHECKING: @@ -191,6 +191,7 @@ def __init__(self, logical_types: list[LogicalType] | None = None) -> None: self._by_logical_name: dict[str, LogicalType] = {} self._by_arrow_name: dict[str, LogicalType] = {} self._by_python_type: dict[type, LogicalType] = {} + self._factories: dict[str, LogicalTypeFactory] = {} for lt in (logical_types or []): self.register(lt) @@ -286,6 +287,40 @@ def get_by_arrow_extension_name(self, arrow_name: str) -> LogicalType | None: """Return the logical type registered under *arrow_name*, or ``None``.""" return self._by_arrow_name.get(arrow_name) + def register_logical_type_factory( + self, + category: str, + factory: LogicalTypeFactory, + ) -> None: + """Register a factory for the given metadata category string. + + When ``prepare_extension_type`` encounters an Arrow extension type whose + ``extension_metadata`` JSON contains ``{"category": "", ...}``, + it calls ``factory.create_logical_type(arrow_extension_name, storage_type, + metadata_dict)`` to construct the logical type and then registers it. + + Args: + category: The ``"category"`` value from the extension metadata JSON that + identifies this category (e.g. ``"Dataclass"``). + factory: A ``LogicalTypeFactory`` instance responsible for constructing + logical types for this category. + + Raises: + ValueError: If ``category`` is already registered to a different factory. + """ + existing = self._factories.get(category) + if existing is not None and existing is not factory: + raise ValueError( + f"Cannot register factory for category {category!r}: " + f"a different factory is already registered for this category." + ) + if existing is factory: + return + self._factories[category] = factory + logger.debug( + "registered LogicalTypeFactory for category %r: %r", category, factory + ) + # Module-level singleton — per-process registry used by database_hooks and # application code. Defined here (not in __init__.py) to avoid the circular diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 345eaf81..a2e4ea65 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -2,6 +2,7 @@ from __future__ import annotations +import json import pathlib import tempfile import uuid @@ -12,7 +13,7 @@ import pyarrow.parquet as pq import pytest -from orcapod.extension_types.protocols import LogicalType +from orcapod.extension_types.protocols import LogicalType, LogicalTypeFactory from orcapod.extension_types.registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type @@ -76,6 +77,28 @@ def storage_to_python(self, storage_value): return _Stub() +def _make_stub_factory(return_lt: LogicalType | None = None) -> LogicalTypeFactory: + """Factory for minimal LogicalTypeFactory conforming stubs. + + If ``return_lt`` is given, ``create_logical_type`` returns it; otherwise + it creates a fresh stub using ``_make_stub`` keyed on the arrow name. + ``calls`` records every invocation as ``(arrow_extension_name, storage_type, metadata)``. + """ + _return_lt = return_lt + + class _Factory: + def __init__(self): + self.calls: list[tuple] = [] + + def create_logical_type(self, arrow_extension_name, storage_type, metadata): + self.calls.append((arrow_extension_name, storage_type, metadata)) + if _return_lt is not None: + return _return_lt + return _make_stub(arrow_name=arrow_extension_name, storage=storage_type) + + return _Factory() + + # --------------------------------------------------------------------------- # make_arrow_extension_type tests # --------------------------------------------------------------------------- @@ -215,6 +238,7 @@ def test_get_by_arrow_extension_name_miss(): # --------------------------------------------------------------------------- +<<<<<<< HEAD # LogicalTypeRegistry constructor logical_types param tests # --------------------------------------------------------------------------- @@ -246,6 +270,34 @@ def test_registry_init_with_multiple_logical_types(): registry = LogicalTypeRegistry(logical_types=[lt1, lt2]) assert registry.get_by_logical_name(lt1.logical_type_name) is lt1 assert registry.get_by_logical_name(lt2.logical_type_name) is lt2 +======= +# register_logical_type_factory tests +# --------------------------------------------------------------------------- + +def test_register_logical_type_factory_no_error(): + """register_logical_type_factory completes without raising.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory("TestCat", factory) # should not raise + + +def test_register_logical_type_factory_same_instance_idempotent(): + """Re-registering the same factory instance for the same category does not raise.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory("Cat", factory) + registry.register_logical_type_factory("Cat", factory) # should not raise + + +def test_register_duplicate_category_raises(): + """Registering a different factory for an already-registered category raises ValueError.""" + registry = LogicalTypeRegistry() + f1 = _make_stub_factory() + f2 = _make_stub_factory() + registry.register_logical_type_factory("Cat", f1) + with pytest.raises(ValueError, match="Cat"): + registry.register_logical_type_factory("Cat", f2) +>>>>>>> b66dd7d (feat(extension_types): add _factories dict and register_logical_type_factory to LogicalTypeRegistry) # --------------------------------------------------------------------------- From c1afe557f098dbccd8937be01955b2bb84c1e934 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 23:37:15 +0000 Subject: [PATCH 062/206] feat(extension_types): add prepare_extension_type to LogicalTypeRegistry Implements the 7-step dispatch flow: cache-hit no-op, None metadata guard, JSON parse, category key check, factory lookup, logical type construction, and registration. Includes 8 new tests covering happy path and all error paths. --- src/orcapod/extension_types/registry.py | 99 +++++++++++++++++ tests/test_extension_types/test_registry.py | 111 +++++++++++++++++++- 2 files changed, 207 insertions(+), 3 deletions(-) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 3edca617..5e6aec0a 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -321,6 +321,105 @@ def register_logical_type_factory( "registered LogicalTypeFactory for category %r: %r", category, factory ) + def prepare_extension_type( + self, + arrow_extension_name: str, + extension_metadata: bytes | None, + storage_type: pa.DataType, + ) -> None: + """Ensure the Arrow extension type identified by ``arrow_extension_name`` + is registered as a ``LogicalType``. + + This is the single entry point called by ``ensure_extensions_registered`` + in ``database_hooks``. The registry owns all dispatch logic. + + Args: + arrow_extension_name: Arrow extension type name (``ARROW:extension:name``). + extension_metadata: Raw metadata bytes (``ARROW:extension:metadata``), + expected to be UTF-8 JSON containing at least a ``"category"`` key. + ``None`` if absent. + storage_type: Underlying Arrow storage type for this extension field. + + Raises: + ValueError: If ``extension_metadata`` is ``None`` and the type is not + already registered. + ValueError: If ``extension_metadata`` is not valid UTF-8 JSON. + ValueError: If the parsed JSON has no ``"category"`` key. + ValueError: If no factory is registered for the ``"category"`` value. + ValueError: Propagated from the factory if it cannot construct a type. + """ + # Step 1: per-process cache hit — no-op regardless of metadata content. + if self.get_by_arrow_extension_name(arrow_extension_name) is not None: + logger.debug( + "prepare_extension_type: %r already registered, skipping", + arrow_extension_name, + ) + return + + # Step 2: None metadata — cannot auto-register; must be pre-registered. + if extension_metadata is None: + raise ValueError( + f"Extension type {arrow_extension_name!r} has no extension metadata " + f"(metadata is None).\n" + f"Types without a metadata category tag cannot be auto-registered via " + f"a factory — they must be pre-registered explicitly via " + f"default_logical_type_registry.register(logical_type)." + ) + + # Step 3: Parse JSON. + try: + metadata_dict = json.loads(extension_metadata.decode("utf-8")) + except (UnicodeDecodeError, json.JSONDecodeError) as exc: + raise ValueError( + f"Extension type {arrow_extension_name!r} has extension metadata that " + f"is not valid UTF-8 JSON: {extension_metadata!r}. " + f"Parse error: {exc}.\n" + f'Extension metadata must be a JSON object with at least a "category" ' + f'key, e.g. {{"category": "Dataclass"}}.' + ) from exc + + # Step 4: Require "category" key. + if "category" not in metadata_dict: + raise ValueError( + f"Extension type {arrow_extension_name!r} has extension metadata JSON " + f'with no "category" key: {metadata_dict}. Extension metadata must be ' + f'a JSON object with at least a "category" key, e.g. ' + f'{{"category": "Dataclass"}}.' + ) + + category = metadata_dict["category"] + + # Step 5: Look up factory. + factory = self._factories.get(category) + if factory is None: + raise ValueError( + f"No LogicalTypeFactory is registered for category {category!r}.\n" + f"Cannot prepare extension type {arrow_extension_name!r} for " + f"registration.\n" + f"Register a factory via " + f"default_logical_type_registry.register_logical_type_factory(\n" + f" {category!r}, factory\n" + f")." + ) + + # Step 6: Construct logical type via factory. + logger.debug( + "prepare_extension_type: %r not registered — dispatching to category %r factory", + arrow_extension_name, + category, + ) + logical_type = factory.create_logical_type( + arrow_extension_name, storage_type, metadata_dict + ) + + # Step 7: Register in all three bindings + PA/Polars global registries. + self.register(logical_type) + logger.debug( + "prepare_extension_type: successfully registered %r via %r factory", + arrow_extension_name, + category, + ) + # Module-level singleton — per-process registry used by database_hooks and # application code. Defined here (not in __init__.py) to avoid the circular diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index a2e4ea65..500e93ac 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -238,7 +238,6 @@ def test_get_by_arrow_extension_name_miss(): # --------------------------------------------------------------------------- -<<<<<<< HEAD # LogicalTypeRegistry constructor logical_types param tests # --------------------------------------------------------------------------- @@ -270,7 +269,9 @@ def test_registry_init_with_multiple_logical_types(): registry = LogicalTypeRegistry(logical_types=[lt1, lt2]) assert registry.get_by_logical_name(lt1.logical_type_name) is lt1 assert registry.get_by_logical_name(lt2.logical_type_name) is lt2 -======= + + +# --------------------------------------------------------------------------- # register_logical_type_factory tests # --------------------------------------------------------------------------- @@ -297,7 +298,6 @@ def test_register_duplicate_category_raises(): registry.register_logical_type_factory("Cat", f1) with pytest.raises(ValueError, match="Cat"): registry.register_logical_type_factory("Cat", f2) ->>>>>>> b66dd7d (feat(extension_types): add _factories dict and register_logical_type_factory to LogicalTypeRegistry) # --------------------------------------------------------------------------- @@ -574,3 +574,108 @@ def test_make_polars_extension_type_with_metadata(): inst = cls() assert inst.ext_name() == name + + +# --------------------------------------------------------------------------- +# prepare_extension_type tests +# --------------------------------------------------------------------------- + +def test_register_logical_type_factory_dispatches_on_prepare(): + """prepare_extension_type dispatches to the registered factory and registers the result.""" + import json + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory("TestCat", factory) + + arrow_name = _unique_name() + metadata_bytes = json.dumps({"category": "TestCat"}).encode() + registry.prepare_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) + + assert len(factory.calls) == 1 + assert factory.calls[0][0] == arrow_name + assert registry.get_by_arrow_extension_name(arrow_name) is not None + + +def test_factory_receives_full_metadata_dict(): + """The factory's create_logical_type receives the full parsed JSON dict, not just category.""" + import json + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory("TestCat", factory) + + arrow_name = _unique_name() + metadata_bytes = json.dumps( + {"category": "TestCat", "protocol": 5, "version": "1.0"} + ).encode() + registry.prepare_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) + + assert len(factory.calls) == 1 + _, _, received_metadata = factory.calls[0] + assert received_metadata == {"category": "TestCat", "protocol": 5, "version": "1.0"} + + +def test_prepare_already_registered_noop(): + """prepare_extension_type called twice does not raise and does not call the factory again.""" + import json + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory("TestCat", factory) + + arrow_name = _unique_name() + metadata_bytes = json.dumps({"category": "TestCat"}).encode() + + registry.prepare_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) + registry.prepare_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) # second call + + assert len(factory.calls) == 1 # factory called exactly once + + +def test_prepare_already_registered_none_metadata_noop(): + """Type pre-registered via register(); None metadata on prepare call is a silent no-op.""" + registry = LogicalTypeRegistry() + lt = _make_stub() + registry.register(lt) + + arrow_name = lt.get_arrow_extension_type().extension_name + registry.prepare_extension_type(arrow_name, None, pa.large_utf8()) # should not raise + + +def test_prepare_none_metadata_not_registered_raises(): + """None metadata for an unregistered extension type raises ValueError.""" + registry = LogicalTypeRegistry() + arrow_name = _unique_name() + + with pytest.raises(ValueError, match="must be pre-registered explicitly"): + registry.prepare_extension_type(arrow_name, None, pa.large_utf8()) + + +def test_prepare_invalid_json_raises(): + """Non-UTF-8-JSON extension_metadata raises ValueError with raw bytes and parse error.""" + registry = LogicalTypeRegistry() + arrow_name = _unique_name() + bad_metadata = b"not-json!" + + with pytest.raises(ValueError, match="not valid UTF-8 JSON"): + registry.prepare_extension_type(arrow_name, bad_metadata, pa.large_utf8()) + + +def test_prepare_json_missing_category_raises(): + """Valid JSON metadata without a 'category' key raises ValueError.""" + import json + registry = LogicalTypeRegistry() + arrow_name = _unique_name() + no_category = json.dumps({"version": 1}).encode() + + with pytest.raises(ValueError, match='"category"'): + registry.prepare_extension_type(arrow_name, no_category, pa.large_utf8()) + + +def test_prepare_unknown_category_raises(): + """Valid JSON with 'category' but no matching factory raises ValueError.""" + import json + registry = LogicalTypeRegistry() + arrow_name = _unique_name() + unknown = json.dumps({"category": "NoSuchFactory"}).encode() + + with pytest.raises(ValueError, match="NoSuchFactory"): + registry.prepare_extension_type(arrow_name, unknown, pa.large_utf8()) From 52348dc17182c485171b5786bf4911a38b00f9ac Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 23:41:14 +0000 Subject: [PATCH 063/206] feat(extension_types): add database_hooks.ensure_extensions_registered and update exports Implements PLT-1655: adds database_hooks.py with ensure_extensions_registered(), updates extension_types/__init__.py to export it, and adds a 9-test suite covering the no-op, register, idempotent, error, and nested-struct cases. --- src/orcapod/extension_types/__init__.py | 3 + src/orcapod/extension_types/database_hooks.py | 54 ++++ .../test_database_hooks.py | 255 ++++++++++++++++++ 3 files changed, 312 insertions(+) create mode 100644 src/orcapod/extension_types/database_hooks.py create mode 100644 tests/test_extension_types/test_database_hooks.py diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index 9f3beaad..efe9ca3d 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -16,6 +16,7 @@ from .protocols import LogicalType, LogicalTypeFactory from .registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema +from .database_hooks import ensure_extensions_registered __all__ = [ "LogicalType", @@ -27,4 +28,6 @@ "ExtensionTypeInfo", "walk_schema", "walk_field", + # PLT-1655 + "ensure_extensions_registered", ] diff --git a/src/orcapod/extension_types/database_hooks.py b/src/orcapod/extension_types/database_hooks.py new file mode 100644 index 00000000..9e638677 --- /dev/null +++ b/src/orcapod/extension_types/database_hooks.py @@ -0,0 +1,54 @@ +"""Peek-schema hook for extension type auto-registration at database read time. + +Call ``ensure_extensions_registered(schema)`` before returning any Arrow table +from a database read path. It is a no-op when the schema contains no extension +types. +""" + +from __future__ import annotations + +import logging +from typing import TYPE_CHECKING + +from orcapod.extension_types.registry import default_logical_type_registry +from orcapod.extension_types.schema_walker import walk_schema + +if TYPE_CHECKING: + import pyarrow as pa + +logger = logging.getLogger(__name__) + + +def ensure_extensions_registered(schema: pa.Schema) -> None: + """Register any extension types found in ``schema`` that are not yet known. + + Walks ``schema`` recursively to discover all Arrow extension types at any + nesting depth. For each discovered type, delegates to + ``default_logical_type_registry.prepare_extension_type``. + + Already-registered types are detected and skipped inside the registry — + this function itself is stateless. + + Args: + schema: The Arrow schema to inspect. May contain no extension types, + in which case this call is a no-op. + + Raises: + ValueError: Propagated from the registry if an extension type's metadata + has no registered factory or is malformed. + """ + found = walk_schema(schema) + if not found: + logger.debug("ensure_extensions_registered: no extension types in schema") + return + logger.debug( + "ensure_extensions_registered: found %d extension type(s) in schema: %s", + len(found), + [info.extension_name for info in found], + ) + for info in found: + default_logical_type_registry.prepare_extension_type( + info.extension_name, + info.extension_metadata, + info.storage_type, + ) diff --git a/tests/test_extension_types/test_database_hooks.py b/tests/test_extension_types/test_database_hooks.py new file mode 100644 index 00000000..ec860e1d --- /dev/null +++ b/tests/test_extension_types/test_database_hooks.py @@ -0,0 +1,255 @@ +"""Tests for ensure_extensions_registered in database_hooks.""" + +from __future__ import annotations + +import json +import uuid + +import pyarrow as pa +import pytest + +from orcapod.extension_types.registry import LogicalTypeRegistry, make_arrow_extension_type + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- + +def _unique_name() -> str: + """Unique Arrow extension name to avoid cross-test global-registry collisions.""" + return f"test.hooks.{uuid.uuid4().hex[:8]}" + + +def _make_ext_schema( + arrow_name: str, + metadata: bytes | None = None, + storage: pa.DataType | None = None, +) -> pa.Schema: + """Build a ``pa.Schema`` with one extension-typed field using ``make_arrow_extension_type``. + + Only call this when you have control over the metadata content — the resulting + field's type is an in-memory ``pa.ExtensionType`` instance, not raw field metadata. + """ + _storage = storage or pa.large_utf8() + ext_cls = make_arrow_extension_type(arrow_name, _storage, metadata=metadata) + return pa.schema([pa.field("col", ext_cls())]) + + +def _make_field_metadata_schema( + arrow_name: str, + metadata: bytes, + storage: pa.DataType | None = None, +) -> pa.Schema: + """Build a schema where the extension is described by raw Arrow field metadata. + + This simulates a Parquet/IPC read where the extension type was not registered + in the current process, so ``field.type`` is a plain Arrow storage type rather + than a ``pa.ExtensionType`` instance. + """ + _storage = storage or pa.large_utf8() + field = pa.field("col", _storage).with_metadata({ + b"ARROW:extension:name": arrow_name.encode(), + b"ARROW:extension:metadata": metadata, + }) + return pa.schema([field]) + + +def _make_stub_factory(registry: LogicalTypeRegistry): + """Return a minimal LogicalTypeFactory stub whose calls are recorded. + + The factory auto-creates a fresh ``LogicalType`` stub keyed by arrow name. + Registering this factory in *registry* causes it to also register a Polars + extension type, which requires the Arrow ext type to be in PyArrow's global + registry. To avoid cross-test collisions, each test uses a unique arrow name. + """ + class _Factory: + def __init__(self): + self.calls: list[tuple] = [] + + def create_logical_type(self, arrow_extension_name, storage_type, metadata): + import polars as pl + from orcapod.extension_types.registry import make_arrow_extension_type + + self.calls.append((arrow_extension_name, storage_type, metadata)) + + _name = arrow_extension_name + _arrow_cls = make_arrow_extension_type(_name, storage_type) + _pl_storage = pl.from_arrow(pa.array([], type=storage_type)).dtype + + class _PolarsExt(pl.BaseExtension): + def __init__(self): + super().__init__(_name, _pl_storage, None) + @classmethod + def ext_from_params(cls, ext_name, storage_dtype, metadata_str): + return cls() + + class _StubLT: + @property + def logical_type_name(self): + return _name + @property + def python_type(self): + return str + def get_arrow_extension_type(self): + return _arrow_cls() + def get_polars_extension_type(self): + return _PolarsExt() + def python_to_storage(self, value): + return str(value) + def storage_to_python(self, storage_value): + return storage_value + + return _StubLT() + + return _Factory() + + +# --------------------------------------------------------------------------- +# Fixture +# --------------------------------------------------------------------------- + +@pytest.fixture +def fresh_registry(monkeypatch): + """A fresh LogicalTypeRegistry monkeypatched into database_hooks module.""" + import orcapod.extension_types.database_hooks as hooks + registry = LogicalTypeRegistry() + monkeypatch.setattr(hooks, "default_logical_type_registry", registry) + return registry + + +# --------------------------------------------------------------------------- +# Tests +# --------------------------------------------------------------------------- + +def test_no_extension_types_is_noop(fresh_registry): + """Schema with only primitives — ensure_extensions_registered returns without touching registry.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + schema = pa.schema([ + pa.field("id", pa.int64()), + pa.field("name", pa.large_utf8()), + ]) + ensure_extensions_registered(schema) + # fresh_registry is empty — no error means no spurious lookup was triggered + assert fresh_registry.get_by_arrow_extension_name("anything") is None + + +def test_known_type_is_registered(fresh_registry): + """Schema with one extension type whose factory is registered — type is registered after call.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + factory = _make_stub_factory(fresh_registry) + fresh_registry.register_logical_type_factory("TestCat", factory) + + metadata_bytes = json.dumps({"category": "TestCat"}).encode() + schema = _make_ext_schema(arrow_name, metadata=metadata_bytes) + + ensure_extensions_registered(schema) + + assert fresh_registry.get_by_arrow_extension_name(arrow_name) is not None + assert len(factory.calls) == 1 + + +def test_already_registered_is_skipped(fresh_registry): + """Calling ensure_extensions_registered twice does not raise and factory is called once.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + factory = _make_stub_factory(fresh_registry) + fresh_registry.register_logical_type_factory("TestCat", factory) + + metadata_bytes = json.dumps({"category": "TestCat"}).encode() + schema = _make_ext_schema(arrow_name, metadata=metadata_bytes) + + ensure_extensions_registered(schema) + ensure_extensions_registered(schema) # second call + + assert len(factory.calls) == 1 # factory invoked exactly once + + +def test_none_metadata_already_registered_noop(fresh_registry): + """Extension type with None metadata that IS already in the registry — silent no-op.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + factory = _make_stub_factory(fresh_registry) + fresh_registry.register_logical_type_factory("TestCat", factory) + + # First: register via metadata so it ends up in the registry. + metadata_bytes = json.dumps({"category": "TestCat"}).encode() + schema_with_meta = _make_ext_schema(arrow_name, metadata=metadata_bytes) + ensure_extensions_registered(schema_with_meta) + + # Now: same arrow name but with no metadata (simulates reading the schema without + # metadata — e.g. after an IPC round-trip where the type is now registered in-process). + schema_no_meta = _make_ext_schema(arrow_name, metadata=None) # metadata=None → b"" → walker normalizes to None + ensure_extensions_registered(schema_no_meta) # should NOT raise + + +def test_none_metadata_not_registered_raises(fresh_registry): + """Unregistered extension type with None metadata raises ValueError.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + schema = _make_ext_schema(arrow_name, metadata=None) # metadata=None → b"" → walker normalizes to None + + with pytest.raises(ValueError, match="must be pre-registered explicitly"): + ensure_extensions_registered(schema) + + +def test_metadata_not_json_raises(fresh_registry): + """Unregistered extension type with non-JSON metadata bytes raises ValueError.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + schema = _make_field_metadata_schema(arrow_name, metadata=b"not-json!") + + with pytest.raises(ValueError, match="not valid UTF-8 JSON"): + ensure_extensions_registered(schema) + + +def test_metadata_json_missing_category_raises(fresh_registry): + """Unregistered extension type with valid JSON but no 'category' key raises ValueError.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + schema = _make_field_metadata_schema( + arrow_name, metadata=json.dumps({"version": 1}).encode() + ) + + with pytest.raises(ValueError, match='"category"'): + ensure_extensions_registered(schema) + + +def test_unknown_metadata_raises(fresh_registry): + """Unregistered extension type with valid JSON and 'category' but no matching factory raises ValueError.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + schema = _make_field_metadata_schema( + arrow_name, metadata=json.dumps({"category": "NoSuchFactory"}).encode() + ) + + with pytest.raises(ValueError, match="NoSuchFactory"): + ensure_extensions_registered(schema) + + +def test_nested_extension_type(fresh_registry): + """Extension type inside a struct column is discovered and registered.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + factory = _make_stub_factory(fresh_registry) + fresh_registry.register_logical_type_factory("TestCat", factory) + + metadata_bytes = json.dumps({"category": "TestCat"}).encode() + inner_ext_cls = make_arrow_extension_type(arrow_name, pa.large_utf8(), metadata=metadata_bytes) + + struct_type = pa.struct([pa.field("inner", inner_ext_cls())]) + schema = pa.schema([pa.field("outer", struct_type)]) + + ensure_extensions_registered(schema) + + assert fresh_registry.get_by_arrow_extension_name(arrow_name) is not None + assert len(factory.calls) == 1 From 60af51d211bea54fd7ddfbbd982f27888d58cbf1 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 23:44:24 +0000 Subject: [PATCH 064/206] fix(test_database_hooks): clarify metadata normalization comments and remove unused registry param --- .../test_extension_types/test_database_hooks.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/tests/test_extension_types/test_database_hooks.py b/tests/test_extension_types/test_database_hooks.py index ec860e1d..727751af 100644 --- a/tests/test_extension_types/test_database_hooks.py +++ b/tests/test_extension_types/test_database_hooks.py @@ -54,11 +54,11 @@ def _make_field_metadata_schema( return pa.schema([field]) -def _make_stub_factory(registry: LogicalTypeRegistry): +def _make_stub_factory(): """Return a minimal LogicalTypeFactory stub whose calls are recorded. The factory auto-creates a fresh ``LogicalType`` stub keyed by arrow name. - Registering this factory in *registry* causes it to also register a Polars + Registering this factory in a registry causes it to also register a Polars extension type, which requires the Arrow ext type to be in PyArrow's global registry. To avoid cross-test collisions, each test uses a unique arrow name. """ @@ -139,7 +139,7 @@ def test_known_type_is_registered(fresh_registry): from orcapod.extension_types.database_hooks import ensure_extensions_registered arrow_name = _unique_name() - factory = _make_stub_factory(fresh_registry) + factory = _make_stub_factory() fresh_registry.register_logical_type_factory("TestCat", factory) metadata_bytes = json.dumps({"category": "TestCat"}).encode() @@ -156,7 +156,7 @@ def test_already_registered_is_skipped(fresh_registry): from orcapod.extension_types.database_hooks import ensure_extensions_registered arrow_name = _unique_name() - factory = _make_stub_factory(fresh_registry) + factory = _make_stub_factory() fresh_registry.register_logical_type_factory("TestCat", factory) metadata_bytes = json.dumps({"category": "TestCat"}).encode() @@ -173,7 +173,7 @@ def test_none_metadata_already_registered_noop(fresh_registry): from orcapod.extension_types.database_hooks import ensure_extensions_registered arrow_name = _unique_name() - factory = _make_stub_factory(fresh_registry) + factory = _make_stub_factory() fresh_registry.register_logical_type_factory("TestCat", factory) # First: register via metadata so it ends up in the registry. @@ -183,7 +183,7 @@ def test_none_metadata_already_registered_noop(fresh_registry): # Now: same arrow name but with no metadata (simulates reading the schema without # metadata — e.g. after an IPC round-trip where the type is now registered in-process). - schema_no_meta = _make_ext_schema(arrow_name, metadata=None) # metadata=None → b"" → walker normalizes to None + schema_no_meta = _make_ext_schema(arrow_name, metadata=None) # metadata=None → serialized as b"" → walker normalizes to None ensure_extensions_registered(schema_no_meta) # should NOT raise @@ -192,7 +192,7 @@ def test_none_metadata_not_registered_raises(fresh_registry): from orcapod.extension_types.database_hooks import ensure_extensions_registered arrow_name = _unique_name() - schema = _make_ext_schema(arrow_name, metadata=None) # metadata=None → b"" → walker normalizes to None + schema = _make_ext_schema(arrow_name, metadata=None) # metadata=None → serialized as b"" → walker normalizes to None with pytest.raises(ValueError, match="must be pre-registered explicitly"): ensure_extensions_registered(schema) @@ -240,7 +240,7 @@ def test_nested_extension_type(fresh_registry): from orcapod.extension_types.database_hooks import ensure_extensions_registered arrow_name = _unique_name() - factory = _make_stub_factory(fresh_registry) + factory = _make_stub_factory() fresh_registry.register_logical_type_factory("TestCat", factory) metadata_bytes = json.dumps({"category": "TestCat"}).encode() From 9ee09bbc80bfec401d61b479090eb21f1437d91c Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 23:49:19 +0000 Subject: [PATCH 065/206] feat(databases): call ensure_extensions_registered in DeltaTableDatabase._read_delta_table --- src/orcapod/databases/delta_lake_databases.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/src/orcapod/databases/delta_lake_databases.py b/src/orcapod/databases/delta_lake_databases.py index abb597ee..1690aa07 100644 --- a/src/orcapod/databases/delta_lake_databases.py +++ b/src/orcapod/databases/delta_lake_databases.py @@ -8,6 +8,7 @@ from orcapod.databases.utils import coerce_record_id from orcapod.databases.storage_utils import is_cloud_uri, parse_base_path +from orcapod.extension_types.database_hooks import ensure_extensions_registered from orcapod.utils import arrow_utils from orcapod.utils.lazy_module import LazyModule @@ -834,6 +835,8 @@ def _read_delta_table( filter_expr = None # Use to_pyarrow_dataset with as_large_types for Polars compatible arrow table loading dataset = delta_table.to_pyarrow_dataset(as_large_types=True) + logger.debug("_read_delta_table: peeking schema for extension type registration") + ensure_extensions_registered(dataset.schema) if filters and expression is None: for filt in filters: if len(filt) == 3: From f798f07e41d8a6a5fa5e0a2b64d9f9d2bc29d6b2 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Sun, 14 Jun 2026 23:55:44 +0000 Subject: [PATCH 066/206] feat(databases): add logger and ensure_extensions_registered hook to ConnectorArrowDatabase._get_committed_table --- src/orcapod/databases/connector_arrow_database.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/src/orcapod/databases/connector_arrow_database.py b/src/orcapod/databases/connector_arrow_database.py index ab6928ed..fd9233a5 100644 --- a/src/orcapod/databases/connector_arrow_database.py +++ b/src/orcapod/databases/connector_arrow_database.py @@ -17,15 +17,19 @@ """ from __future__ import annotations +import logging import re from collections import defaultdict from collections.abc import Collection, Mapping from typing import TYPE_CHECKING, Any, cast from orcapod.databases.utils import coerce_record_id +from orcapod.extension_types.database_hooks import ensure_extensions_registered from orcapod.protocols.db_connector_protocol import ColumnInfo, DBConnectorProtocol from orcapod.utils.lazy_module import LazyModule +logger = logging.getLogger(__name__) + if TYPE_CHECKING: import pyarrow as pa import pyarrow.compute as pc @@ -185,6 +189,8 @@ def _get_committed_table( ) if not batches: return None + logger.debug("_get_committed_table: peeking schema for extension type registration") + ensure_extensions_registered(batches[0].schema) return pa.Table.from_batches(batches) # ── Write methods ───────────────────────────────────────────────────────── From 9fbc7abb4a693649a3ebf0b1dff8588f7da7bdbe Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 00:02:50 +0000 Subject: [PATCH 067/206] fix(test_registry): remove redundant local import json from test function bodies --- tests/test_extension_types/test_registry.py | 5 ----- 1 file changed, 5 deletions(-) diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 500e93ac..65356711 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -582,7 +582,6 @@ def test_make_polars_extension_type_with_metadata(): def test_register_logical_type_factory_dispatches_on_prepare(): """prepare_extension_type dispatches to the registered factory and registers the result.""" - import json registry = LogicalTypeRegistry() factory = _make_stub_factory() registry.register_logical_type_factory("TestCat", factory) @@ -598,7 +597,6 @@ def test_register_logical_type_factory_dispatches_on_prepare(): def test_factory_receives_full_metadata_dict(): """The factory's create_logical_type receives the full parsed JSON dict, not just category.""" - import json registry = LogicalTypeRegistry() factory = _make_stub_factory() registry.register_logical_type_factory("TestCat", factory) @@ -616,7 +614,6 @@ def test_factory_receives_full_metadata_dict(): def test_prepare_already_registered_noop(): """prepare_extension_type called twice does not raise and does not call the factory again.""" - import json registry = LogicalTypeRegistry() factory = _make_stub_factory() registry.register_logical_type_factory("TestCat", factory) @@ -661,7 +658,6 @@ def test_prepare_invalid_json_raises(): def test_prepare_json_missing_category_raises(): """Valid JSON metadata without a 'category' key raises ValueError.""" - import json registry = LogicalTypeRegistry() arrow_name = _unique_name() no_category = json.dumps({"version": 1}).encode() @@ -672,7 +668,6 @@ def test_prepare_json_missing_category_raises(): def test_prepare_unknown_category_raises(): """Valid JSON with 'category' but no matching factory raises ValueError.""" - import json registry = LogicalTypeRegistry() arrow_name = _unique_name() unknown = json.dumps({"category": "NoSuchFactory"}).encode() From d0b9402ed939829269e04830a11af6f34e281875 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 00:11:21 +0000 Subject: [PATCH 068/206] docs(superpowers): add PLT-1655 implementation plan --- .../2026-06-14-plt-1655-database-hooks.md | 1300 +++++++++++++++++ 1 file changed, 1300 insertions(+) create mode 100644 superpowers/plans/2026-06-14-plt-1655-database-hooks.md diff --git a/superpowers/plans/2026-06-14-plt-1655-database-hooks.md b/superpowers/plans/2026-06-14-plt-1655-database-hooks.md new file mode 100644 index 00000000..e1f8f85a --- /dev/null +++ b/superpowers/plans/2026-06-14-plt-1655-database-hooks.md @@ -0,0 +1,1300 @@ +# PLT-1655: Database Hooks Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use sensei:subagent-driven-development (recommended) or sensei:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Add the peek-schema → register → read pattern to both database read paths so that Arrow extension types found in stored schemas are automatically registered before any table data is returned. + +**Architecture:** A stateless `ensure_extensions_registered(schema)` hook in `database_hooks.py` walks the schema using the existing `walk_schema` utility, then delegates each discovered type to `LogicalTypeRegistry.prepare_extension_type`. The registry owns all dispatch logic: it checks its own `_by_arrow_name` dict as a per-process cache (step 1), then parses JSON metadata, dispatches to a `LogicalTypeFactory` by category string, and calls `self.register()`. Two new protocols (`LogicalTypeFactory`) and two new methods on `LogicalTypeRegistry` (`register_logical_type_factory`, `prepare_extension_type`) complete the contract. + +**Tech Stack:** Python 3.12+, PyArrow, Polars, `pytest`, `json` (stdlib) + +--- + +## File Map + +| File | Action | Responsibility | +|---|---|---| +| `src/orcapod/extension_types/protocols.py` | Modify | Add `LogicalTypeFactory` Protocol | +| `src/orcapod/extension_types/registry.py` | Modify | Add logging, `import json`, `LogicalTypeFactory` import, `_factories` dict, `register_logical_type_factory`, `prepare_extension_type`, move `default_logical_type_registry` singleton here | +| `src/orcapod/extension_types/__init__.py` | Modify | Import `default_logical_type_registry` from `.registry`, add `LogicalTypeFactory` and `ensure_extensions_registered` to exports | +| `src/orcapod/extension_types/database_hooks.py` | **Create** | `ensure_extensions_registered(schema)` stateless hook | +| `src/orcapod/databases/delta_lake_databases.py` | Modify | Add `ensure_extensions_registered` call in `_read_delta_table` | +| `src/orcapod/databases/connector_arrow_database.py` | Modify | Add `import logging`, `logger`, `ensure_extensions_registered` call in `_get_committed_table` | +| `tests/test_extension_types/test_protocols.py` | Modify | Add `LogicalTypeFactory` conformance tests | +| `tests/test_extension_types/test_registry.py` | Modify | Add `_make_stub_factory` helper + 9 tests for new registry methods | +| `tests/test_extension_types/test_database_hooks.py` | **Create** | 9 tests for `ensure_extensions_registered` | + +--- + +## Task 1: `LogicalTypeFactory` Protocol + registry logging infrastructure + +**Files:** +- Modify: `src/orcapod/extension_types/protocols.py` +- Modify: `src/orcapod/extension_types/registry.py` (lines 1–21: imports section) +- Test: `tests/test_extension_types/test_protocols.py` + +- [ ] **Step 1: Write the failing tests** + +Add to `tests/test_extension_types/test_protocols.py` — after the existing `_StubLogicalType` class: + +```python +class _StubFactory: + """Minimal conforming implementation of LogicalTypeFactory for use in tests.""" + + def create_logical_type(self, arrow_extension_name, storage_type, metadata): + return _StubLogicalType() + + +def test_logical_type_factory_protocol_is_importable(): + """LogicalTypeFactory can be imported from extension_types.protocols.""" + from orcapod.extension_types.protocols import LogicalTypeFactory + assert LogicalTypeFactory is not None + + +def test_logical_type_factory_conforming_class_satisfies_protocol(): + """A conforming class is recognized as a LogicalTypeFactory instance.""" + from orcapod.extension_types.protocols import LogicalTypeFactory + assert isinstance(_StubFactory(), LogicalTypeFactory) + + +def test_logical_type_factory_create_returns_logical_type(): + """A conforming factory returns a LogicalType from create_logical_type.""" + from orcapod.extension_types.protocols import LogicalTypeFactory, LogicalType + factory: LogicalTypeFactory = _StubFactory() + result = factory.create_logical_type( + "test.ext", pa.large_utf8(), {"category": "Test"} + ) + assert isinstance(result, LogicalType) +``` + +- [ ] **Step 2: Run tests to verify they fail** + +``` +uv run pytest tests/test_extension_types/test_protocols.py -v -k "factory" +``` + +Expected: FAIL — `ImportError: cannot import name 'LogicalTypeFactory' from 'orcapod.extension_types.protocols'` + +- [ ] **Step 3: Add `LogicalTypeFactory` to protocols.py** + +Open `src/orcapod/extension_types/protocols.py`. After the closing `...` of `LogicalType`, append: + +```python +@runtime_checkable +class LogicalTypeFactory(Protocol): + """Protocol for factories that auto-construct ``LogicalType`` instances from Arrow schema metadata. + + A ``LogicalTypeFactory`` constructs a ``LogicalType`` from the Arrow extension + type name, its underlying storage type, and the full parsed JSON metadata dict. + The dispatch key (``"category"`` value from the metadata JSON) that routes to this + factory is declared at registration time via + ``LogicalTypeRegistry.register_logical_type_factory``; the factory itself has no + knowledge of its dispatch key but receives the full metadata dict so it can read + additional hints beyond ``"category"``. + + This protocol is ``@runtime_checkable``, consistent with ``LogicalType``. + """ + + def create_logical_type( + self, + arrow_extension_name: str, + storage_type: pa.DataType, + metadata: dict, + ) -> LogicalType: + """Construct a ``LogicalType`` for the given Arrow extension name and storage type. + + Args: + arrow_extension_name: The Arrow extension type name extracted from the + schema (i.e. the value of ``ARROW:extension:name`` field metadata). + storage_type: The underlying Arrow storage type for this extension field. + metadata: The full parsed JSON metadata dict. Always contains at least a + ``"category"`` key. May contain additional keys the factory uses (e.g. + ``"protocol"``, ``"pydantic_version"``). + + Returns: + A fully constructed ``LogicalType`` ready to be passed to + ``LogicalTypeRegistry.register()``. + + Raises: + ValueError: If this factory cannot construct a logical type for the given + extension name (e.g. the Python class cannot be resolved by name). + """ + ... +``` + +- [ ] **Step 4: Add logging infrastructure to registry.py** + +Open `src/orcapod/extension_types/registry.py`. The current imports block starts at line 1: + +```python +from __future__ import annotations + +import re +from typing import TYPE_CHECKING + +from orcapod.extension_types.protocols import LogicalType +``` + +Replace the imports block with: + +```python +from __future__ import annotations + +import json +import logging +import re +from typing import TYPE_CHECKING + +from orcapod.extension_types.protocols import LogicalType, LogicalTypeFactory +from orcapod.utils.lazy_module import LazyModule + +if TYPE_CHECKING: + import polars as pl + import pyarrow as pa +else: + pa = LazyModule("pyarrow") + pl = LazyModule("polars") + +logger = logging.getLogger(__name__) +``` + +- [ ] **Step 5: Run tests to verify they pass** + +``` +uv run pytest tests/test_extension_types/test_protocols.py -v +``` + +Expected: all tests PASS (including the 3 new factory tests) + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/extension_types/protocols.py src/orcapod/extension_types/registry.py tests/test_extension_types/test_protocols.py +git commit -m "feat(extension_types): add LogicalTypeFactory protocol and registry logging setup" +``` + +--- + +## Task 2: Move `default_logical_type_registry` singleton to registry.py + +**Context:** `database_hooks.py` (Task 5) will import `default_logical_type_registry` from `registry.py`. If it imported from `orcapod.extension_types` (the package `__init__.py`), a circular import would occur because `__init__.py` will later import from `database_hooks`. Moving the singleton to `registry.py` breaks the cycle. + +**Files:** +- Modify: `src/orcapod/extension_types/registry.py` (add singleton at bottom) +- Modify: `src/orcapod/extension_types/__init__.py` (import instead of create) +- Test: `tests/test_extension_types/test_registry.py` (add one new import-path test) + +- [ ] **Step 1: Write the new import-path test** + +Add to the bottom of `tests/test_extension_types/test_registry.py` (after the existing `default_logical_type_registry` tests): + +```python +def test_default_registry_accessible_from_registry_module(): + """default_logical_type_registry imported from registry module is same object as from package.""" + from orcapod.extension_types.registry import default_logical_type_registry as from_registry + from orcapod.extension_types import default_logical_type_registry as from_package + assert from_registry is from_package +``` + +- [ ] **Step 2: Run test to verify it fails** + +``` +uv run pytest tests/test_extension_types/test_registry.py::test_default_registry_accessible_from_registry_module -v +``` + +Expected: FAIL — `ImportError: cannot import name 'default_logical_type_registry' from 'orcapod.extension_types.registry'` + +- [ ] **Step 3: Add singleton to the bottom of registry.py** + +Open `src/orcapod/extension_types/registry.py`. Append after the `LogicalTypeRegistry` class: + +```python +# Module-level singleton — per-process registry used by database_hooks and +# application code. Defined here (not in __init__.py) to avoid the circular +# import that would arise if database_hooks imported from the package __init__. +default_logical_type_registry = LogicalTypeRegistry() +``` + +- [ ] **Step 4: Update __init__.py to import singleton from registry** + +Open `src/orcapod/extension_types/__init__.py`. The current content is: + +```python +"""Arrow/Polars extension type system for orcapod. +... +""" + +from __future__ import annotations + +from .protocols import LogicalType +from .registry import LogicalTypeRegistry, make_arrow_extension_type +from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema + +default_logical_type_registry = LogicalTypeRegistry() + +__all__ = [ + "LogicalType", + "LogicalTypeRegistry", + "make_arrow_extension_type", + "default_logical_type_registry", + # PLT-1654 + "ExtensionTypeInfo", + "walk_schema", + "walk_field", +] +``` + +Replace with: + +```python +"""Arrow/Polars extension type system for orcapod. + +This subpackage provides the registry and protocol for logical types that map +between Python objects and their Arrow/Polars extension type representation. + +The module-level ``default_logical_type_registry`` instance is the process default. +Built-in registrations (``Path``, ``UPath``, ``UUID``) are added by PLT-1656. +``DataContext`` wiring is added by PLT-1660. +""" + +from __future__ import annotations + +from .protocols import LogicalType, LogicalTypeFactory +from .registry import LogicalTypeRegistry, make_arrow_extension_type, default_logical_type_registry +from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema + +__all__ = [ + "LogicalType", + "LogicalTypeFactory", + "LogicalTypeRegistry", + "make_arrow_extension_type", + "default_logical_type_registry", + # PLT-1654 + "ExtensionTypeInfo", + "walk_schema", + "walk_field", +] +``` + +- [ ] **Step 5: Run all extension_types tests to verify no regressions** + +``` +uv run pytest tests/test_extension_types/ -v +``` + +Expected: all existing tests PASS including the new `test_default_registry_accessible_from_registry_module` + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/extension_types/registry.py src/orcapod/extension_types/__init__.py tests/test_extension_types/test_registry.py +git commit -m "refactor(extension_types): move default_logical_type_registry singleton to registry.py" +``` + +--- + +## Task 3: `_factories` dict + `register_logical_type_factory` method + +**Files:** +- Modify: `src/orcapod/extension_types/registry.py` +- Test: `tests/test_extension_types/test_registry.py` + +- [ ] **Step 1: Write the failing tests** + +Add to `tests/test_extension_types/test_registry.py` — after the `_make_stub` helper: + +```python +def _make_stub_factory(return_lt: LogicalType | None = None) -> LogicalTypeFactory: + """Factory for minimal LogicalTypeFactory conforming stubs. + + If ``return_lt`` is given, ``create_logical_type`` returns it; otherwise + it creates a fresh stub using ``_make_stub`` keyed on the arrow name. + ``calls`` records every invocation as ``(arrow_extension_name, storage_type, metadata)``. + """ + from orcapod.extension_types.protocols import LogicalTypeFactory + _return_lt = return_lt + + class _Factory: + def __init__(self): + self.calls: list[tuple] = [] + + def create_logical_type(self, arrow_extension_name, storage_type, metadata): + self.calls.append((arrow_extension_name, storage_type, metadata)) + if _return_lt is not None: + return _return_lt + return _make_stub(arrow_name=arrow_extension_name, storage=storage_type) + + return _Factory() +``` + +Then add these tests (before the `# end-to-end integration tests` section): + +```python +# --------------------------------------------------------------------------- +# register_logical_type_factory tests +# --------------------------------------------------------------------------- + +def test_register_logical_type_factory_no_error(): + """register_logical_type_factory completes without raising.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory("TestCat", factory) # should not raise + + +def test_register_logical_type_factory_same_instance_idempotent(): + """Re-registering the same factory instance for the same category does not raise.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory("Cat", factory) + registry.register_logical_type_factory("Cat", factory) # should not raise + + +def test_register_duplicate_category_raises(): + """Registering a different factory for an already-registered category raises ValueError.""" + registry = LogicalTypeRegistry() + f1 = _make_stub_factory() + f2 = _make_stub_factory() + registry.register_logical_type_factory("Cat", f1) + with pytest.raises(ValueError, match="Cat"): + registry.register_logical_type_factory("Cat", f2) +``` + +- [ ] **Step 2: Run tests to verify they fail** + +``` +uv run pytest tests/test_extension_types/test_registry.py -v -k "factory" --no-header 2>&1 | tail -20 +``` + +Expected: FAIL — `AttributeError: 'LogicalTypeRegistry' object has no attribute 'register_logical_type_factory'` + +- [ ] **Step 3: Add `_factories` dict and `register_logical_type_factory` to LogicalTypeRegistry** + +In `src/orcapod/extension_types/registry.py`, inside the `LogicalTypeRegistry` class, update `__init__`: + +```python + def __init__(self) -> None: + self._by_logical_name: dict[str, LogicalType] = {} + self._by_arrow_name: dict[str, LogicalType] = {} + self._by_python_type: dict[type, LogicalType] = {} + self._factories: dict[str, LogicalTypeFactory] = {} +``` + +Then add the new method after `get_by_arrow_extension_name`: + +```python + def register_logical_type_factory( + self, + category: str, + factory: LogicalTypeFactory, + ) -> None: + """Register a factory for the given metadata category string. + + When ``prepare_extension_type`` encounters an Arrow extension type whose + ``extension_metadata`` JSON contains ``{"category": "", ...}``, + it calls ``factory.create_logical_type(arrow_extension_name, storage_type, + metadata_dict)`` to construct the logical type and then registers it. + + Args: + category: The ``"category"`` value from the extension metadata JSON that + identifies this category (e.g. ``"Dataclass"``). + factory: A ``LogicalTypeFactory`` instance responsible for constructing + logical types for this category. + + Raises: + ValueError: If ``category`` is already registered to a different factory. + """ + existing = self._factories.get(category) + if existing is not None and existing is not factory: + raise ValueError( + f"Cannot register factory for category {category!r}: " + f"a different factory is already registered for this category." + ) + if existing is factory: + return + self._factories[category] = factory + logger.debug( + "registered LogicalTypeFactory for category %r: %r", category, factory + ) +``` + +- [ ] **Step 4: Run tests to verify they pass** + +``` +uv run pytest tests/test_extension_types/test_registry.py -v -k "factory" --no-header +``` + +Expected: the 3 new factory tests PASS + +- [ ] **Step 5: Run full extension_types test suite to check for regressions** + +``` +uv run pytest tests/test_extension_types/ -v --no-header 2>&1 | tail -10 +``` + +Expected: all tests PASS + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/extension_types/registry.py tests/test_extension_types/test_registry.py +git commit -m "feat(extension_types): add _factories dict and register_logical_type_factory to LogicalTypeRegistry" +``` + +--- + +## Task 4: `prepare_extension_type` — full implementation (all 7 steps) + +**Files:** +- Modify: `src/orcapod/extension_types/registry.py` +- Test: `tests/test_extension_types/test_registry.py` + +- [ ] **Step 1: Write ALL failing tests (happy path + error paths)** + +Add to `tests/test_extension_types/test_registry.py`, after the `register_logical_type_factory` tests. Note the `import json` needed at the top of the file: + +First add `import json` to the existing import block at the top of test_registry.py (after `import uuid`). + +Then add these tests: + +```python +# --------------------------------------------------------------------------- +# prepare_extension_type tests +# --------------------------------------------------------------------------- + +def test_register_logical_type_factory_dispatches_on_prepare(): + """prepare_extension_type dispatches to the registered factory and registers the result.""" + import json + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory("TestCat", factory) + + arrow_name = _unique_name() + metadata_bytes = json.dumps({"category": "TestCat"}).encode() + registry.prepare_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) + + assert len(factory.calls) == 1 + assert factory.calls[0][0] == arrow_name + assert registry.get_by_arrow_extension_name(arrow_name) is not None + + +def test_factory_receives_full_metadata_dict(): + """The factory's create_logical_type receives the full parsed JSON dict, not just category.""" + import json + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory("TestCat", factory) + + arrow_name = _unique_name() + metadata_bytes = json.dumps( + {"category": "TestCat", "protocol": 5, "version": "1.0"} + ).encode() + registry.prepare_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) + + assert len(factory.calls) == 1 + _, _, received_metadata = factory.calls[0] + assert received_metadata == {"category": "TestCat", "protocol": 5, "version": "1.0"} + + +def test_prepare_already_registered_noop(): + """prepare_extension_type called twice does not raise and does not call the factory again.""" + import json + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory("TestCat", factory) + + arrow_name = _unique_name() + metadata_bytes = json.dumps({"category": "TestCat"}).encode() + + registry.prepare_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) + registry.prepare_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) # second call + + assert len(factory.calls) == 1 # factory called exactly once + + +def test_prepare_already_registered_none_metadata_noop(): + """Type pre-registered via register(); None metadata on prepare call is a silent no-op.""" + registry = LogicalTypeRegistry() + lt = _make_stub() + registry.register(lt) + + arrow_name = lt.get_arrow_extension_type().extension_name + registry.prepare_extension_type(arrow_name, None, pa.large_utf8()) # should not raise + + +def test_prepare_none_metadata_not_registered_raises(): + """None metadata for an unregistered extension type raises ValueError.""" + registry = LogicalTypeRegistry() + arrow_name = _unique_name() + + with pytest.raises(ValueError, match="must be pre-registered explicitly"): + registry.prepare_extension_type(arrow_name, None, pa.large_utf8()) + + +def test_prepare_invalid_json_raises(): + """Non-UTF-8-JSON extension_metadata raises ValueError with raw bytes and parse error.""" + registry = LogicalTypeRegistry() + arrow_name = _unique_name() + bad_metadata = b"not-json!" + + with pytest.raises(ValueError, match="not valid UTF-8 JSON"): + registry.prepare_extension_type(arrow_name, bad_metadata, pa.large_utf8()) + + +def test_prepare_json_missing_category_raises(): + """Valid JSON metadata without a 'category' key raises ValueError.""" + import json + registry = LogicalTypeRegistry() + arrow_name = _unique_name() + no_category = json.dumps({"version": 1}).encode() + + with pytest.raises(ValueError, match='"category"'): + registry.prepare_extension_type(arrow_name, no_category, pa.large_utf8()) + + +def test_prepare_unknown_category_raises(): + """Valid JSON with 'category' but no matching factory raises ValueError.""" + import json + registry = LogicalTypeRegistry() + arrow_name = _unique_name() + unknown = json.dumps({"category": "NoSuchFactory"}).encode() + + with pytest.raises(ValueError, match="NoSuchFactory"): + registry.prepare_extension_type(arrow_name, unknown, pa.large_utf8()) +``` + +- [ ] **Step 2: Run tests to verify they fail** + +``` +uv run pytest tests/test_extension_types/test_registry.py -v -k "prepare" --no-header 2>&1 | tail -20 +``` + +Expected: FAIL — `AttributeError: 'LogicalTypeRegistry' object has no attribute 'prepare_extension_type'` + +- [ ] **Step 3: Implement `prepare_extension_type` in registry.py** + +Add this method to `LogicalTypeRegistry` (after `register_logical_type_factory`): + +```python + def prepare_extension_type( + self, + arrow_extension_name: str, + extension_metadata: bytes | None, + storage_type: pa.DataType, + ) -> None: + """Ensure the Arrow extension type identified by ``arrow_extension_name`` + is registered as a ``LogicalType``. + + This is the single entry point called by ``ensure_extensions_registered`` + in ``database_hooks``. The registry owns all dispatch logic. + + Args: + arrow_extension_name: Arrow extension type name (``ARROW:extension:name``). + extension_metadata: Raw metadata bytes (``ARROW:extension:metadata``), + expected to be UTF-8 JSON containing at least a ``"category"`` key. + ``None`` if absent. + storage_type: Underlying Arrow storage type for this extension field. + + Raises: + ValueError: If ``extension_metadata`` is ``None`` and the type is not + already registered. + ValueError: If ``extension_metadata`` is not valid UTF-8 JSON. + ValueError: If the parsed JSON has no ``"category"`` key. + ValueError: If no factory is registered for the ``"category"`` value. + ValueError: Propagated from the factory if it cannot construct a type. + """ + # Step 1: per-process cache hit — no-op regardless of metadata content. + if self.get_by_arrow_extension_name(arrow_extension_name) is not None: + logger.debug( + "prepare_extension_type: %r already registered, skipping", + arrow_extension_name, + ) + return + + # Step 2: None metadata — cannot auto-register; must be pre-registered. + if extension_metadata is None: + raise ValueError( + f"Extension type {arrow_extension_name!r} has no extension metadata " + f"(metadata is None).\n" + f"Types without a metadata category tag cannot be auto-registered via " + f"a factory — they must be pre-registered explicitly via " + f"default_logical_type_registry.register(logical_type)." + ) + + # Step 3: Parse JSON. + try: + metadata_dict = json.loads(extension_metadata.decode("utf-8")) + except (UnicodeDecodeError, json.JSONDecodeError) as exc: + raise ValueError( + f"Extension type {arrow_extension_name!r} has extension metadata that " + f"is not valid UTF-8 JSON: {extension_metadata!r}. " + f"Parse error: {exc}.\n" + f'Extension metadata must be a JSON object with at least a "category" ' + f'key, e.g. {{"category": "Dataclass"}}.' + ) from exc + + # Step 4: Require "category" key. + if "category" not in metadata_dict: + raise ValueError( + f"Extension type {arrow_extension_name!r} has extension metadata JSON " + f'with no "category" key: {metadata_dict}. Extension metadata must be ' + f'a JSON object with at least a "category" key, e.g. ' + f'{{"category": "Dataclass"}}.' + ) + + category = metadata_dict["category"] + + # Step 5: Look up factory. + factory = self._factories.get(category) + if factory is None: + raise ValueError( + f"No LogicalTypeFactory is registered for category {category!r}.\n" + f"Cannot prepare extension type {arrow_extension_name!r} for " + f"registration.\n" + f"Register a factory via " + f"default_logical_type_registry.register_logical_type_factory(\n" + f" {category!r}, factory\n" + f")." + ) + + # Step 6: Construct logical type via factory. + logger.debug( + "prepare_extension_type: %r not registered — dispatching to category %r factory", + arrow_extension_name, + category, + ) + logical_type = factory.create_logical_type( + arrow_extension_name, storage_type, metadata_dict + ) + + # Step 7: Register in all three bindings + PA/Polars global registries. + self.register(logical_type) + logger.debug( + "prepare_extension_type: successfully registered %r via %r factory", + arrow_extension_name, + category, + ) +``` + +- [ ] **Step 4: Run tests to verify they all pass** + +``` +uv run pytest tests/test_extension_types/test_registry.py -v --no-header 2>&1 | tail -15 +``` + +Expected: all tests PASS + +- [ ] **Step 5: Commit** + +```bash +git add src/orcapod/extension_types/registry.py tests/test_extension_types/test_registry.py +git commit -m "feat(extension_types): add prepare_extension_type to LogicalTypeRegistry" +``` + +--- + +## Task 5: `database_hooks.py` module + `__init__.py` exports + test suite + +**Files:** +- Create: `src/orcapod/extension_types/database_hooks.py` +- Modify: `src/orcapod/extension_types/__init__.py` +- Create: `tests/test_extension_types/test_database_hooks.py` + +- [ ] **Step 1: Write the failing test file** + +Create `tests/test_extension_types/test_database_hooks.py`: + +```python +"""Tests for ensure_extensions_registered in database_hooks.""" + +from __future__ import annotations + +import json +import uuid + +import pyarrow as pa +import pytest + +from orcapod.extension_types.registry import LogicalTypeRegistry, make_arrow_extension_type + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- + +def _unique_name() -> str: + """Unique Arrow extension name to avoid cross-test global-registry collisions.""" + return f"test.hooks.{uuid.uuid4().hex[:8]}" + + +def _make_ext_schema( + arrow_name: str, + metadata: bytes | None = None, + storage: pa.DataType | None = None, +) -> pa.Schema: + """Build a ``pa.Schema`` with one extension-typed field using ``make_arrow_extension_type``. + + Only call this when you have control over the metadata content — the resulting + field's type is an in-memory ``pa.ExtensionType`` instance, not raw field metadata. + """ + _storage = storage or pa.large_utf8() + ext_cls = make_arrow_extension_type(arrow_name, _storage, metadata=metadata) + return pa.schema([pa.field("col", ext_cls())]) + + +def _make_field_metadata_schema( + arrow_name: str, + metadata: bytes, + storage: pa.DataType | None = None, +) -> pa.Schema: + """Build a schema where the extension is described by raw Arrow field metadata. + + This simulates a Parquet/IPC read where the extension type was not registered + in the current process, so ``field.type`` is a plain Arrow storage type rather + than a ``pa.ExtensionType`` instance. + """ + _storage = storage or pa.large_utf8() + field = pa.field("col", _storage).with_metadata({ + b"ARROW:extension:name": arrow_name.encode(), + b"ARROW:extension:metadata": metadata, + }) + return pa.schema([field]) + + +def _make_stub_factory(registry: LogicalTypeRegistry): + """Return a minimal LogicalTypeFactory stub whose calls are recorded. + + The factory auto-creates a fresh ``LogicalType`` stub keyed by arrow name. + Registering this factory in *registry* causes it to also register a Polars + extension type, which requires the Arrow ext type to be in PyArrow's global + registry. To avoid cross-test collisions, each test uses a unique arrow name. + """ + class _Factory: + def __init__(self): + self.calls: list[tuple] = [] + + def create_logical_type(self, arrow_extension_name, storage_type, metadata): + import polars as pl + from orcapod.extension_types.registry import make_arrow_extension_type + + self.calls.append((arrow_extension_name, storage_type, metadata)) + + _name = arrow_extension_name + _arrow_cls = make_arrow_extension_type(_name, storage_type) + _pl_storage = pl.from_arrow(pa.array([], type=storage_type)).dtype + + class _PolarsExt(pl.BaseExtension): + def __init__(self): + super().__init__(_name, _pl_storage, None) + @classmethod + def ext_from_params(cls, ext_name, storage_dtype, metadata_str): + return cls() + + class _StubLT: + @property + def logical_type_name(self): + return _name + @property + def python_type(self): + return str + def get_arrow_extension_type(self): + return _arrow_cls() + def get_polars_extension_type(self): + return _PolarsExt() + def python_to_storage(self, value): + return str(value) + def storage_to_python(self, storage_value): + return storage_value + + return _StubLT() + + return _Factory() + + +# --------------------------------------------------------------------------- +# Fixture +# --------------------------------------------------------------------------- + +@pytest.fixture +def fresh_registry(monkeypatch): + """A fresh LogicalTypeRegistry monkeypatched into database_hooks module.""" + import orcapod.extension_types.database_hooks as hooks + registry = LogicalTypeRegistry() + monkeypatch.setattr(hooks, "default_logical_type_registry", registry) + return registry + + +# --------------------------------------------------------------------------- +# Tests +# --------------------------------------------------------------------------- + +def test_no_extension_types_is_noop(fresh_registry): + """Schema with only primitives — ensure_extensions_registered returns without touching registry.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + schema = pa.schema([ + pa.field("id", pa.int64()), + pa.field("name", pa.large_utf8()), + ]) + ensure_extensions_registered(schema) + # fresh_registry is empty — no error means no spurious lookup was triggered + assert fresh_registry.get_by_arrow_extension_name("anything") is None + + +def test_known_type_is_registered(fresh_registry): + """Schema with one extension type whose factory is registered — type is registered after call.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + factory = _make_stub_factory(fresh_registry) + fresh_registry.register_logical_type_factory("TestCat", factory) + + metadata_bytes = json.dumps({"category": "TestCat"}).encode() + schema = _make_ext_schema(arrow_name, metadata=metadata_bytes) + + ensure_extensions_registered(schema) + + assert fresh_registry.get_by_arrow_extension_name(arrow_name) is not None + assert len(factory.calls) == 1 + + +def test_already_registered_is_skipped(fresh_registry): + """Calling ensure_extensions_registered twice does not raise and factory is called once.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + factory = _make_stub_factory(fresh_registry) + fresh_registry.register_logical_type_factory("TestCat", factory) + + metadata_bytes = json.dumps({"category": "TestCat"}).encode() + schema = _make_ext_schema(arrow_name, metadata=metadata_bytes) + + ensure_extensions_registered(schema) + ensure_extensions_registered(schema) # second call + + assert len(factory.calls) == 1 # factory invoked exactly once + + +def test_none_metadata_already_registered_noop(fresh_registry): + """Extension type with None metadata that IS already in the registry — silent no-op.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + factory = _make_stub_factory(fresh_registry) + fresh_registry.register_logical_type_factory("TestCat", factory) + + # First: register via metadata so it ends up in the registry. + metadata_bytes = json.dumps({"category": "TestCat"}).encode() + schema_with_meta = _make_ext_schema(arrow_name, metadata=metadata_bytes) + ensure_extensions_registered(schema_with_meta) + + # Now: same arrow name but with no metadata (simulates reading the schema without + # metadata — e.g. after an IPC round-trip where the type is now registered in-process). + schema_no_meta = _make_ext_schema(arrow_name, metadata=None) # metadata=None → b"" + ensure_extensions_registered(schema_no_meta) # should NOT raise + + +def test_none_metadata_not_registered_raises(fresh_registry): + """Unregistered extension type with None metadata raises ValueError.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + schema = _make_ext_schema(arrow_name, metadata=None) # metadata=None → b"" → walker normalizes to None + + with pytest.raises(ValueError, match="must be pre-registered explicitly"): + ensure_extensions_registered(schema) + + +def test_metadata_not_json_raises(fresh_registry): + """Unregistered extension type with non-JSON metadata bytes raises ValueError.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + schema = _make_field_metadata_schema(arrow_name, metadata=b"not-json!") + + with pytest.raises(ValueError, match="not valid UTF-8 JSON"): + ensure_extensions_registered(schema) + + +def test_metadata_json_missing_category_raises(fresh_registry): + """Unregistered extension type with valid JSON but no 'category' key raises ValueError.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + schema = _make_field_metadata_schema( + arrow_name, metadata=json.dumps({"version": 1}).encode() + ) + + with pytest.raises(ValueError, match='"category"'): + ensure_extensions_registered(schema) + + +def test_unknown_metadata_raises(fresh_registry): + """Unregistered extension type with valid JSON and 'category' but no matching factory raises ValueError.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + schema = _make_field_metadata_schema( + arrow_name, metadata=json.dumps({"category": "NoSuchFactory"}).encode() + ) + + with pytest.raises(ValueError, match="NoSuchFactory"): + ensure_extensions_registered(schema) + + +def test_nested_extension_type(fresh_registry): + """Extension type inside a struct column is discovered and registered.""" + from orcapod.extension_types.database_hooks import ensure_extensions_registered + + arrow_name = _unique_name() + factory = _make_stub_factory(fresh_registry) + fresh_registry.register_logical_type_factory("TestCat", factory) + + metadata_bytes = json.dumps({"category": "TestCat"}).encode() + inner_ext_cls = make_arrow_extension_type(arrow_name, pa.large_utf8(), metadata=metadata_bytes) + + struct_type = pa.struct([pa.field("inner", inner_ext_cls())]) + schema = pa.schema([pa.field("outer", struct_type)]) + + ensure_extensions_registered(schema) + + assert fresh_registry.get_by_arrow_extension_name(arrow_name) is not None + assert len(factory.calls) == 1 +``` + +- [ ] **Step 2: Run tests to verify they fail** + +``` +uv run pytest tests/test_extension_types/test_database_hooks.py -v --no-header 2>&1 | tail -15 +``` + +Expected: FAIL — `ModuleNotFoundError: No module named 'orcapod.extension_types.database_hooks'` + +- [ ] **Step 3: Create `database_hooks.py`** + +Create `src/orcapod/extension_types/database_hooks.py`: + +```python +"""Peek-schema hook for extension type auto-registration at database read time. + +Call ``ensure_extensions_registered(schema)`` before returning any Arrow table +from a database read path. It is a no-op when the schema contains no extension +types. +""" + +from __future__ import annotations + +import logging +from typing import TYPE_CHECKING + +from orcapod.extension_types.registry import default_logical_type_registry +from orcapod.extension_types.schema_walker import walk_schema + +if TYPE_CHECKING: + import pyarrow as pa + +logger = logging.getLogger(__name__) + + +def ensure_extensions_registered(schema: pa.Schema) -> None: + """Register any extension types found in ``schema`` that are not yet known. + + Walks ``schema`` recursively to discover all Arrow extension types at any + nesting depth. For each discovered type, delegates to + ``default_logical_type_registry.prepare_extension_type``. + + Already-registered types are detected and skipped inside the registry — + this function itself is stateless. + + Args: + schema: The Arrow schema to inspect. May contain no extension types, + in which case this call is a no-op. + + Raises: + ValueError: Propagated from the registry if an extension type's metadata + has no registered factory or is malformed. + """ + found = walk_schema(schema) + if not found: + logger.debug("ensure_extensions_registered: no extension types in schema") + return + logger.debug( + "ensure_extensions_registered: found %d extension type(s) in schema: %s", + len(found), + [info.extension_name for info in found], + ) + for info in found: + default_logical_type_registry.prepare_extension_type( + info.extension_name, + info.extension_metadata, + info.storage_type, + ) +``` + +- [ ] **Step 4: Add `ensure_extensions_registered` to `__init__.py` exports** + +In `src/orcapod/extension_types/__init__.py`, add the import and export: + +```python +from .database_hooks import ensure_extensions_registered +``` + +Add `"ensure_extensions_registered"` to `__all__`. + +The final `__init__.py` should look like: + +```python +"""Arrow/Polars extension type system for orcapod. + +This subpackage provides the registry and protocol for logical types that map +between Python objects and their Arrow/Polars extension type representation. + +The module-level ``default_logical_type_registry`` instance is the process default. +Built-in registrations (``Path``, ``UPath``, ``UUID``) are added by PLT-1656. +``DataContext`` wiring is added by PLT-1660. +""" + +from __future__ import annotations + +from .protocols import LogicalType, LogicalTypeFactory +from .registry import LogicalTypeRegistry, make_arrow_extension_type, default_logical_type_registry +from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema +from .database_hooks import ensure_extensions_registered + +__all__ = [ + "LogicalType", + "LogicalTypeFactory", + "LogicalTypeRegistry", + "make_arrow_extension_type", + "default_logical_type_registry", + # PLT-1654 + "ExtensionTypeInfo", + "walk_schema", + "walk_field", + # PLT-1655 + "ensure_extensions_registered", +] +``` + +- [ ] **Step 5: Run all tests to verify they pass** + +``` +uv run pytest tests/test_extension_types/ -v --no-header 2>&1 | tail -20 +``` + +Expected: all tests PASS + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/extension_types/database_hooks.py src/orcapod/extension_types/__init__.py tests/test_extension_types/test_database_hooks.py +git commit -m "feat(extension_types): add database_hooks.ensure_extensions_registered and update exports" +``` + +--- + +## Task 6: Hook `DeltaTableDatabase._read_delta_table` + +**Context:** `delta_lake_databases.py` already has `import logging` and `logger = logging.getLogger(__name__)`. Only a new import and a single hook call are needed. + +**Files:** +- Modify: `src/orcapod/databases/delta_lake_databases.py` + +- [ ] **Step 1: Add the import for `ensure_extensions_registered`** + +In `src/orcapod/databases/delta_lake_databases.py`, find the existing imports block. The file starts with: + +```python +from __future__ import annotations + +import logging +from collections import defaultdict +from collections.abc import Collection, Mapping +from pathlib import Path +from typing import TYPE_CHECKING, Any, Literal, cast + +from orcapod.databases.utils import coerce_record_id +from orcapod.databases.storage_utils import is_cloud_uri, parse_base_path +from orcapod.utils import arrow_utils +from orcapod.utils.lazy_module import LazyModule +``` + +Add the new import after the existing `orcapod` imports: + +```python +from orcapod.extension_types.database_hooks import ensure_extensions_registered +``` + +- [ ] **Step 2: Add the hook call in `_read_delta_table`** + +Find `_read_delta_table` (around line 818). The current code after the method docstring is: + +```python + filter_expr = None + # Use to_pyarrow_dataset with as_large_types for Polars compatible arrow table loading + dataset = delta_table.to_pyarrow_dataset(as_large_types=True) + if filters and expression is None: +``` + +Replace with (adding 2 lines after the dataset assignment): + +```python + filter_expr = None + # Use to_pyarrow_dataset with as_large_types for Polars compatible arrow table loading + dataset = delta_table.to_pyarrow_dataset(as_large_types=True) + logger.debug("_read_delta_table: peeking schema for extension type registration") + ensure_extensions_registered(delta_table.schema().to_arrow()) + if filters and expression is None: +``` + +- [ ] **Step 3: Run the full test suite** + +``` +uv run pytest tests/ -v --no-header -q 2>&1 | tail -20 +``` + +Expected: all tests PASS + +- [ ] **Step 4: Commit** + +```bash +git add src/orcapod/databases/delta_lake_databases.py +git commit -m "feat(databases): call ensure_extensions_registered in DeltaTableDatabase._read_delta_table" +``` + +--- + +## Task 7: Hook `ConnectorArrowDatabase._get_committed_table` + +**Context:** `connector_arrow_database.py` currently has no `logger`. Add it alongside the hook import. + +**Files:** +- Modify: `src/orcapod/databases/connector_arrow_database.py` + +- [ ] **Step 1: Add `import logging`, `logger`, and hook import** + +In `src/orcapod/databases/connector_arrow_database.py`, the current imports block begins: + +```python +from __future__ import annotations + +import re +from collections import defaultdict +from collections.abc import Collection, Mapping +from typing import TYPE_CHECKING, Any, cast + +from orcapod.databases.utils import coerce_record_id +from orcapod.protocols.db_connector_protocol import ColumnInfo, DBConnectorProtocol +from orcapod.utils.lazy_module import LazyModule +``` + +Replace with: + +```python +from __future__ import annotations + +import logging +import re +from collections import defaultdict +from collections.abc import Collection, Mapping +from typing import TYPE_CHECKING, Any, cast + +from orcapod.databases.utils import coerce_record_id +from orcapod.extension_types.database_hooks import ensure_extensions_registered +from orcapod.protocols.db_connector_protocol import ColumnInfo, DBConnectorProtocol +from orcapod.utils.lazy_module import LazyModule + +logger = logging.getLogger(__name__) +``` + +- [ ] **Step 2: Add the hook call in `_get_committed_table`** + +Find `_get_committed_table` (around line 176). The current implementation is: + +```python + def _get_committed_table( + self, record_path: tuple[str, ...] + ) -> pa.Table | None: + """Fetch all committed records for a path from the connector.""" + table_name = self._path_to_table_name(self._path_prefix + record_path) + if table_name not in self._connector.get_table_names(): + return None + batches = list( + self._connector.iter_batches(f'SELECT * FROM "{table_name}"') + ) + if not batches: + return None + return pa.Table.from_batches(batches) +``` + +Replace with: + +```python + def _get_committed_table( + self, record_path: tuple[str, ...] + ) -> pa.Table | None: + """Fetch all committed records for a path from the connector.""" + table_name = self._path_to_table_name(self._path_prefix + record_path) + if table_name not in self._connector.get_table_names(): + return None + batches = list( + self._connector.iter_batches(f'SELECT * FROM "{table_name}"') + ) + if not batches: + return None + logger.debug("_get_committed_table: peeking schema for extension type registration") + ensure_extensions_registered(batches[0].schema) + return pa.Table.from_batches(batches) +``` + +- [ ] **Step 3: Run the full test suite** + +``` +uv run pytest tests/ -v --no-header -q 2>&1 | tail -20 +``` + +Expected: all tests PASS + +- [ ] **Step 4: Commit** + +```bash +git add src/orcapod/databases/connector_arrow_database.py +git commit -m "feat(databases): add logger and ensure_extensions_registered hook to ConnectorArrowDatabase._get_committed_table" +``` + +--- + +## Final Verification + +- [ ] **Run the complete test suite one final time** + +``` +uv run pytest tests/ -q --no-header 2>&1 | tail -5 +``` + +Expected: all tests PASS, no warnings about new code + +- [ ] **Create PR targeting `extension-type-system` branch** + +```bash +gh pr create \ + --base extension-type-system \ + --title "feat(PLT-1655): add peek-schema → register → read pattern with per-process cache" \ + --body "$(cat <<'EOF' +## Summary + +* Adds `LogicalTypeFactory` Protocol — a pure factory that constructs a `LogicalType` from an Arrow extension name, storage type, and full parsed JSON metadata dict. +* Adds `register_logical_type_factory(category, factory)` and `prepare_extension_type(arrow_extension_name, metadata, storage_type)` to `LogicalTypeRegistry`. The registry's `_by_arrow_name` dict acts as the per-process cache (step 1: already-registered → immediate no-op regardless of metadata). +* Adds stateless `ensure_extensions_registered(schema)` in `extension_types/database_hooks.py`. Walks the schema, delegates each extension type to `prepare_extension_type`. +* Wires the hook into `DeltaTableDatabase._read_delta_table` (schema peek via `DeltaTable.schema().to_arrow()`) and `ConnectorArrowDatabase._get_committed_table` (schema peek via `batches[0].schema`). +* Moves `default_logical_type_registry` singleton from `__init__.py` to `registry.py` to break the circular import that would arise with `database_hooks`. +* Sufficient DEBUG-level logging throughout: discovery, cache hit, factory dispatch, successful registration. + +## Test plan + +- [ ] `uv run pytest tests/test_extension_types/ -v` — all new unit tests pass +- [ ] `uv run pytest tests/ -q` — no regressions + +Fixes PLT-1655 +EOF +)" +``` From b244808a91151d64a1b67b29ecae4228c010bcaa Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 00:27:04 +0000 Subject: [PATCH 069/206] =?UTF-8?q?fix(registry):=20address=20PR=20review?= =?UTF-8?q?=20comments=20=E2=80=94=20type=20guards,=20generic=20error=20me?= =?UTF-8?q?ssages,=20fix=20debug=20log?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Update make_arrow_extension_type() docstring: show metadata as UTF-8 JSON object with "category" key (not bare string) and add multi-key example - Add isinstance guard rejecting non-dict JSON values in prepare_extension_type - Add isinstance guard rejecting non-string "category" values - Remove hard-coded references to default_logical_type_registry singleton in error messages — use "registry instance used for reads" wording instead - Fix debug log argument order: arrow_extension_name before category Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/registry.py | 44 +++++++++++++++++-------- 1 file changed, 30 insertions(+), 14 deletions(-) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 5e6aec0a..8ad38838 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -56,14 +56,15 @@ def make_arrow_extension_type( metadata: Optional bytes stored as ``ARROW:extension:metadata``. Defaults to ``None`` (serialised as empty bytes). - ``metadata`` can optionally encode a **LogicalType category** — a - short identifier (e.g. ``b"Dataclass"``, ``b"Pydantic"``, - ``b"Pickle"``) that classifies the kind of Python type being - represented. A ``LogicalTypeFactory`` (see ``LogicalTypeFactory.create_logical_type``) - inspects this category when reading schemas from IPC or Parquet files and uses it - to auto-generate the correct ``LogicalType`` for the specific Python - class within that category, without requiring explicit prior - registration. + ``metadata`` can optionally encode a **LogicalType category** as a + UTF-8 JSON object with at least a ``"category"`` key + (e.g. ``b'{"category": "Dataclass"}'``, + ``b'{"category": "Pydantic", "pydantic_version": 2}'``). + A ``LogicalTypeFactory`` (see ``LogicalTypeFactory.create_logical_type``) + dispatches on the ``"category"`` value when reading schemas from IPC or + Parquet files and uses it to auto-generate the correct ``LogicalType`` + for the specific Python class within that category, without requiring + explicit prior registration. Returns: A ``pa.ExtensionType`` subclass. Call it with no arguments to obtain @@ -363,7 +364,7 @@ def prepare_extension_type( f"(metadata is None).\n" f"Types without a metadata category tag cannot be auto-registered via " f"a factory — they must be pre-registered explicitly via " - f"default_logical_type_registry.register(logical_type)." + f"registry.register(logical_type) on the registry instance used for reads." ) # Step 3: Parse JSON. @@ -378,6 +379,15 @@ def prepare_extension_type( f'key, e.g. {{"category": "Dataclass"}}.' ) from exc + # Guard: JSON must decode to a dict (object), not a list, scalar, etc. + if not isinstance(metadata_dict, dict): + raise ValueError( + f"Extension type {arrow_extension_name!r} has extension metadata that " + f"decoded to a non-object JSON value: {metadata_dict!r}. " + f'Extension metadata must be a JSON object with at least a "category" ' + f'key, e.g. {{"category": "Dataclass"}}.' + ) + # Step 4: Require "category" key. if "category" not in metadata_dict: raise ValueError( @@ -389,6 +399,14 @@ def prepare_extension_type( category = metadata_dict["category"] + # Guard: "category" value must be a string (used as dict key for factory lookup). + if not isinstance(category, str): + raise ValueError( + f"Extension type {arrow_extension_name!r} has extension metadata JSON " + f'where "category" is not a string: {category!r}. ' + f'The "category" value must be a plain string, e.g. "Dataclass".' + ) + # Step 5: Look up factory. factory = self._factories.get(category) if factory is None: @@ -396,10 +414,8 @@ def prepare_extension_type( f"No LogicalTypeFactory is registered for category {category!r}.\n" f"Cannot prepare extension type {arrow_extension_name!r} for " f"registration.\n" - f"Register a factory via " - f"default_logical_type_registry.register_logical_type_factory(\n" - f" {category!r}, factory\n" - f")." + f"Register a factory on the registry instance used for reads via " + f"register_logical_type_factory({category!r}, factory)." ) # Step 6: Construct logical type via factory. @@ -415,7 +431,7 @@ def prepare_extension_type( # Step 7: Register in all three bindings + PA/Polars global registries. self.register(logical_type) logger.debug( - "prepare_extension_type: successfully registered %r via %r factory", + "prepare_extension_type: successfully registered %r via factory for category %r", arrow_extension_name, category, ) From 3771656f10fa0ac9de36b978fdb2d490f14dee4f Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 01:32:25 +0000 Subject: [PATCH 070/206] refactor(extension_types): remove default registry singleton; inject from data context - Remove `default_logical_type_registry` module-level singleton from registry.py; the default registry is now accessed via `get_default_context().logical_type_registry` (or `get_default_logical_type_registry()` from orcapod.contexts), consistent with how the rest of the codebase reaches the default context - `ensure_extensions_registered(registry, schema)` now takes an explicit `LogicalTypeRegistry` parameter; if `None` is passed it falls back lazily to `get_default_context().logical_type_registry`, so callers that don't care about the registry source get the right behaviour automatically - Add optional `logical_type_registry: LogicalTypeRegistry | None = None` to both `DeltaTableDatabase.__init__` and `ConnectorArrowDatabase.__init__`; pass `self._logical_type_registry` through to `ensure_extensions_registered` so that multiple databases sharing one explicitly-constructed registry use a common per-process cache, while databases with no explicit registry each fall back to the shared default context registry - Update `test_database_hooks.py` to inject a fresh registry directly instead of monkeypatching the module global; simplify `fresh_registry` fixture accordingly Co-Authored-By: Claude Sonnet 4.6 --- .../databases/connector_arrow_database.py | 5 ++- src/orcapod/databases/delta_lake_databases.py | 5 ++- src/orcapod/extension_types/database_hooks.py | 31 ++++++++++++++----- src/orcapod/extension_types/registry.py | 6 ---- .../test_database_hooks.py | 31 +++++++++---------- tests/test_extension_types/test_registry.py | 6 ++-- 6 files changed, 48 insertions(+), 36 deletions(-) diff --git a/src/orcapod/databases/connector_arrow_database.py b/src/orcapod/databases/connector_arrow_database.py index fd9233a5..b137be77 100644 --- a/src/orcapod/databases/connector_arrow_database.py +++ b/src/orcapod/databases/connector_arrow_database.py @@ -25,6 +25,7 @@ from orcapod.databases.utils import coerce_record_id from orcapod.extension_types.database_hooks import ensure_extensions_registered +from orcapod.extension_types.registry import LogicalTypeRegistry from orcapod.protocols.db_connector_protocol import ColumnInfo, DBConnectorProtocol from orcapod.utils.lazy_module import LazyModule @@ -67,6 +68,7 @@ def __init__( self, connector: DBConnectorProtocol, max_hierarchy_depth: int = 10, + logical_type_registry: LogicalTypeRegistry | None = None, _path_prefix: tuple[str, ...] = (), _shared_pending_batches: dict[str, pa.Table] | None = None, _shared_pending_record_ids: dict[str, set[bytes]] | None = None, @@ -74,6 +76,7 @@ def __init__( _root: ConnectorArrowDatabase | None = None, _scoped_path: tuple[str, ...] = (), ) -> None: + self._logical_type_registry = logical_type_registry self._connector = connector self.max_hierarchy_depth = max_hierarchy_depth self._path_prefix = _path_prefix @@ -190,7 +193,7 @@ def _get_committed_table( if not batches: return None logger.debug("_get_committed_table: peeking schema for extension type registration") - ensure_extensions_registered(batches[0].schema) + ensure_extensions_registered(self._logical_type_registry, batches[0].schema) return pa.Table.from_batches(batches) # ── Write methods ───────────────────────────────────────────────────────── diff --git a/src/orcapod/databases/delta_lake_databases.py b/src/orcapod/databases/delta_lake_databases.py index 1690aa07..31e6cc64 100644 --- a/src/orcapod/databases/delta_lake_databases.py +++ b/src/orcapod/databases/delta_lake_databases.py @@ -9,6 +9,7 @@ from orcapod.databases.utils import coerce_record_id from orcapod.databases.storage_utils import is_cloud_uri, parse_base_path from orcapod.extension_types.database_hooks import ensure_extensions_registered +from orcapod.extension_types.registry import LogicalTypeRegistry from orcapod.utils import arrow_utils from orcapod.utils.lazy_module import LazyModule @@ -53,12 +54,14 @@ def __init__( batch_size: int = 1000, max_hierarchy_depth: int = 10, allow_schema_evolution: bool = True, + logical_type_registry: LogicalTypeRegistry | None = None, _path_prefix: tuple[str, ...] = (), _root: "DeltaTableDatabase | None" = None, _scoped_path: tuple[str, ...] = (), _shared_pending_batches: "dict[str, pa.Table] | None" = None, _shared_pending_record_ids: "defaultdict[str, set[bytes]] | None" = None, ): + self._logical_type_registry = logical_type_registry self._root_uri, self._storage_options = parse_base_path(base_path, storage_options) self._is_cloud: bool = is_cloud_uri(self._root_uri) self._path_prefix = _path_prefix @@ -836,7 +839,7 @@ def _read_delta_table( # Use to_pyarrow_dataset with as_large_types for Polars compatible arrow table loading dataset = delta_table.to_pyarrow_dataset(as_large_types=True) logger.debug("_read_delta_table: peeking schema for extension type registration") - ensure_extensions_registered(dataset.schema) + ensure_extensions_registered(self._logical_type_registry, dataset.schema) if filters and expression is None: for filt in filters: if len(filt) == 3: diff --git a/src/orcapod/extension_types/database_hooks.py b/src/orcapod/extension_types/database_hooks.py index 9e638677..69ed1fad 100644 --- a/src/orcapod/extension_types/database_hooks.py +++ b/src/orcapod/extension_types/database_hooks.py @@ -1,8 +1,13 @@ """Peek-schema hook for extension type auto-registration at database read time. -Call ``ensure_extensions_registered(schema)`` before returning any Arrow table -from a database read path. It is a no-op when the schema contains no extension -types. +Call ``ensure_extensions_registered(registry, schema)`` before returning any +Arrow table from a database read path. It is a no-op when the schema contains +no extension types. + +If *registry* is ``None``, the registry is resolved from the default data +context via ``get_default_context().logical_type_registry``. Pass an explicit +``LogicalTypeRegistry`` instance to share one registry across multiple databases +or to override the default context's registry. """ from __future__ import annotations @@ -10,7 +15,7 @@ import logging from typing import TYPE_CHECKING -from orcapod.extension_types.registry import default_logical_type_registry +from orcapod.extension_types.registry import LogicalTypeRegistry from orcapod.extension_types.schema_walker import walk_schema if TYPE_CHECKING: @@ -19,17 +24,23 @@ logger = logging.getLogger(__name__) -def ensure_extensions_registered(schema: pa.Schema) -> None: +def ensure_extensions_registered( + registry: LogicalTypeRegistry | None, + schema: pa.Schema, +) -> None: """Register any extension types found in ``schema`` that are not yet known. Walks ``schema`` recursively to discover all Arrow extension types at any nesting depth. For each discovered type, delegates to - ``default_logical_type_registry.prepare_extension_type``. + ``registry.prepare_extension_type``. Already-registered types are detected and skipped inside the registry — - this function itself is stateless. + this function itself is stateless beyond the registry it operates on. Args: + registry: The ``LogicalTypeRegistry`` to use for lookup and registration. + If ``None``, the registry is resolved lazily from the default data + context via ``get_default_context().logical_type_registry``. schema: The Arrow schema to inspect. May contain no extension types, in which case this call is a no-op. @@ -37,6 +48,10 @@ def ensure_extensions_registered(schema: pa.Schema) -> None: ValueError: Propagated from the registry if an extension type's metadata has no registered factory or is malformed. """ + if registry is None: + from orcapod.contexts import get_default_context + registry = get_default_context().logical_type_registry + found = walk_schema(schema) if not found: logger.debug("ensure_extensions_registered: no extension types in schema") @@ -47,7 +62,7 @@ def ensure_extensions_registered(schema: pa.Schema) -> None: [info.extension_name for info in found], ) for info in found: - default_logical_type_registry.prepare_extension_type( + registry.prepare_extension_type( info.extension_name, info.extension_metadata, info.storage_type, diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 8ad38838..08994fd4 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -435,9 +435,3 @@ def prepare_extension_type( arrow_extension_name, category, ) - - -# Module-level singleton — per-process registry used by database_hooks and -# application code. Defined here (not in __init__.py) to avoid the circular -# import that would arise if database_hooks imported from the package __init__. -default_logical_type_registry = LogicalTypeRegistry() diff --git a/tests/test_extension_types/test_database_hooks.py b/tests/test_extension_types/test_database_hooks.py index 727751af..20d60ecd 100644 --- a/tests/test_extension_types/test_database_hooks.py +++ b/tests/test_extension_types/test_database_hooks.py @@ -109,12 +109,9 @@ def storage_to_python(self, storage_value): # --------------------------------------------------------------------------- @pytest.fixture -def fresh_registry(monkeypatch): - """A fresh LogicalTypeRegistry monkeypatched into database_hooks module.""" - import orcapod.extension_types.database_hooks as hooks - registry = LogicalTypeRegistry() - monkeypatch.setattr(hooks, "default_logical_type_registry", registry) - return registry +def fresh_registry(): + """A fresh, isolated LogicalTypeRegistry for each test.""" + return LogicalTypeRegistry() # --------------------------------------------------------------------------- @@ -129,7 +126,7 @@ def test_no_extension_types_is_noop(fresh_registry): pa.field("id", pa.int64()), pa.field("name", pa.large_utf8()), ]) - ensure_extensions_registered(schema) + ensure_extensions_registered(fresh_registry, schema) # fresh_registry is empty — no error means no spurious lookup was triggered assert fresh_registry.get_by_arrow_extension_name("anything") is None @@ -145,7 +142,7 @@ def test_known_type_is_registered(fresh_registry): metadata_bytes = json.dumps({"category": "TestCat"}).encode() schema = _make_ext_schema(arrow_name, metadata=metadata_bytes) - ensure_extensions_registered(schema) + ensure_extensions_registered(fresh_registry, schema) assert fresh_registry.get_by_arrow_extension_name(arrow_name) is not None assert len(factory.calls) == 1 @@ -162,8 +159,8 @@ def test_already_registered_is_skipped(fresh_registry): metadata_bytes = json.dumps({"category": "TestCat"}).encode() schema = _make_ext_schema(arrow_name, metadata=metadata_bytes) - ensure_extensions_registered(schema) - ensure_extensions_registered(schema) # second call + ensure_extensions_registered(fresh_registry, schema) + ensure_extensions_registered(fresh_registry, schema) # second call assert len(factory.calls) == 1 # factory invoked exactly once @@ -179,12 +176,12 @@ def test_none_metadata_already_registered_noop(fresh_registry): # First: register via metadata so it ends up in the registry. metadata_bytes = json.dumps({"category": "TestCat"}).encode() schema_with_meta = _make_ext_schema(arrow_name, metadata=metadata_bytes) - ensure_extensions_registered(schema_with_meta) + ensure_extensions_registered(fresh_registry, schema_with_meta) # Now: same arrow name but with no metadata (simulates reading the schema without # metadata — e.g. after an IPC round-trip where the type is now registered in-process). schema_no_meta = _make_ext_schema(arrow_name, metadata=None) # metadata=None → serialized as b"" → walker normalizes to None - ensure_extensions_registered(schema_no_meta) # should NOT raise + ensure_extensions_registered(fresh_registry, schema_no_meta) # should NOT raise def test_none_metadata_not_registered_raises(fresh_registry): @@ -195,7 +192,7 @@ def test_none_metadata_not_registered_raises(fresh_registry): schema = _make_ext_schema(arrow_name, metadata=None) # metadata=None → serialized as b"" → walker normalizes to None with pytest.raises(ValueError, match="must be pre-registered explicitly"): - ensure_extensions_registered(schema) + ensure_extensions_registered(fresh_registry, schema) def test_metadata_not_json_raises(fresh_registry): @@ -206,7 +203,7 @@ def test_metadata_not_json_raises(fresh_registry): schema = _make_field_metadata_schema(arrow_name, metadata=b"not-json!") with pytest.raises(ValueError, match="not valid UTF-8 JSON"): - ensure_extensions_registered(schema) + ensure_extensions_registered(fresh_registry, schema) def test_metadata_json_missing_category_raises(fresh_registry): @@ -219,7 +216,7 @@ def test_metadata_json_missing_category_raises(fresh_registry): ) with pytest.raises(ValueError, match='"category"'): - ensure_extensions_registered(schema) + ensure_extensions_registered(fresh_registry, schema) def test_unknown_metadata_raises(fresh_registry): @@ -232,7 +229,7 @@ def test_unknown_metadata_raises(fresh_registry): ) with pytest.raises(ValueError, match="NoSuchFactory"): - ensure_extensions_registered(schema) + ensure_extensions_registered(fresh_registry, schema) def test_nested_extension_type(fresh_registry): @@ -249,7 +246,7 @@ def test_nested_extension_type(fresh_registry): struct_type = pa.struct([pa.field("inner", inner_ext_cls())]) schema = pa.schema([pa.field("outer", struct_type)]) - ensure_extensions_registered(schema) + ensure_extensions_registered(fresh_registry, schema) assert fresh_registry.get_by_arrow_extension_name(arrow_name) is not None assert len(factory.calls) == 1 diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 65356711..bf01898a 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -141,9 +141,9 @@ def test_make_arrow_extension_type_metadata_roundtrip(): # --------------------------------------------------------------------------- # LogicalTypeRegistry unit tests -# Each test uses a fresh LogicalTypeRegistry() instance (not the module-level -# default_logical_type_registry). Registering does touch the global PA/Polars -# registries, but unique extension names (via _unique_name()) prevent collisions. +# Each test uses a fresh LogicalTypeRegistry() instance. Registering does +# touch the global PA/Polars registries, but unique extension names (via +# _unique_name()) prevent cross-test collisions. # --------------------------------------------------------------------------- def test_register_stores_logical_type(): From 8fc493f17876a925f61133b3a49c8f2fb778c5a6 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 01:42:36 +0000 Subject: [PATCH 071/206] refactor(database_hooks): make None registry a no-op, never auto-resolve to default context Infrastructure hooks must not auto-resolve dependencies from global state. Callers that want extension-type registration must supply an explicit LogicalTypeRegistry; passing None silently skips registration instead of pulling from the default DataContext. Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/database_hooks.py | 17 +++++++---------- 1 file changed, 7 insertions(+), 10 deletions(-) diff --git a/src/orcapod/extension_types/database_hooks.py b/src/orcapod/extension_types/database_hooks.py index 69ed1fad..066dd2e7 100644 --- a/src/orcapod/extension_types/database_hooks.py +++ b/src/orcapod/extension_types/database_hooks.py @@ -2,12 +2,7 @@ Call ``ensure_extensions_registered(registry, schema)`` before returning any Arrow table from a database read path. It is a no-op when the schema contains -no extension types. - -If *registry* is ``None``, the registry is resolved from the default data -context via ``get_default_context().logical_type_registry``. Pass an explicit -``LogicalTypeRegistry`` instance to share one registry across multiple databases -or to override the default context's registry. +no extension types or when *registry* is ``None``. """ from __future__ import annotations @@ -39,8 +34,10 @@ def ensure_extensions_registered( Args: registry: The ``LogicalTypeRegistry`` to use for lookup and registration. - If ``None``, the registry is resolved lazily from the default data - context via ``get_default_context().logical_type_registry``. + If ``None``, this call is a no-op — no extension types will be + registered. Callers that want auto-registration must supply a registry + explicitly; the typical source is + ``data_context.logical_type_registry``. schema: The Arrow schema to inspect. May contain no extension types, in which case this call is a no-op. @@ -49,8 +46,8 @@ def ensure_extensions_registered( has no registered factory or is malformed. """ if registry is None: - from orcapod.contexts import get_default_context - registry = get_default_context().logical_type_registry + logger.debug("ensure_extensions_registered: no registry provided, skipping") + return found = walk_schema(schema) if not found: From 970ce163b2b42720fccb70505f612b56949e1f84 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 02:25:28 +0000 Subject: [PATCH 072/206] refactor(extension_types): apply eywalker PR review renames MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - LogicalType → LogicalTypeProtocol (consistent Protocol suffix) - LogicalTypeFactory → LogicalTypeFactoryProtocol (consistent Protocol suffix) - LogicalTypeRegistry.register → register_logical_type (explicit vs register_logical_type_factory) - LogicalTypeRegistry.prepare_extension_type → ensure_extension_type - ensure_extensions_registered → register_discovered_extensions (reflects that it triggers registration) All call sites, imports, exports, and tests updated. Co-Authored-By: Claude Sonnet 4.6 --- .../databases/connector_arrow_database.py | 4 +- src/orcapod/databases/delta_lake_databases.py | 4 +- src/orcapod/extension_types/__init__.py | 10 +-- src/orcapod/extension_types/database_hooks.py | 20 ++--- src/orcapod/extension_types/protocols.py | 34 +++---- src/orcapod/extension_types/registry.py | 50 +++++------ .../test_builtin_logical_types.py | 22 ++--- .../test_database_hooks.py | 46 +++++----- tests/test_extension_types/test_protocols.py | 38 ++++---- tests/test_extension_types/test_registry.py | 90 +++++++++---------- 10 files changed, 159 insertions(+), 159 deletions(-) diff --git a/src/orcapod/databases/connector_arrow_database.py b/src/orcapod/databases/connector_arrow_database.py index b137be77..6d0dd2f2 100644 --- a/src/orcapod/databases/connector_arrow_database.py +++ b/src/orcapod/databases/connector_arrow_database.py @@ -24,7 +24,7 @@ from typing import TYPE_CHECKING, Any, cast from orcapod.databases.utils import coerce_record_id -from orcapod.extension_types.database_hooks import ensure_extensions_registered +from orcapod.extension_types.database_hooks import register_discovered_extensions from orcapod.extension_types.registry import LogicalTypeRegistry from orcapod.protocols.db_connector_protocol import ColumnInfo, DBConnectorProtocol from orcapod.utils.lazy_module import LazyModule @@ -193,7 +193,7 @@ def _get_committed_table( if not batches: return None logger.debug("_get_committed_table: peeking schema for extension type registration") - ensure_extensions_registered(self._logical_type_registry, batches[0].schema) + register_discovered_extensions(self._logical_type_registry, batches[0].schema) return pa.Table.from_batches(batches) # ── Write methods ───────────────────────────────────────────────────────── diff --git a/src/orcapod/databases/delta_lake_databases.py b/src/orcapod/databases/delta_lake_databases.py index 31e6cc64..0a11c7da 100644 --- a/src/orcapod/databases/delta_lake_databases.py +++ b/src/orcapod/databases/delta_lake_databases.py @@ -8,7 +8,7 @@ from orcapod.databases.utils import coerce_record_id from orcapod.databases.storage_utils import is_cloud_uri, parse_base_path -from orcapod.extension_types.database_hooks import ensure_extensions_registered +from orcapod.extension_types.database_hooks import register_discovered_extensions from orcapod.extension_types.registry import LogicalTypeRegistry from orcapod.utils import arrow_utils from orcapod.utils.lazy_module import LazyModule @@ -839,7 +839,7 @@ def _read_delta_table( # Use to_pyarrow_dataset with as_large_types for Polars compatible arrow table loading dataset = delta_table.to_pyarrow_dataset(as_large_types=True) logger.debug("_read_delta_table: peeking schema for extension type registration") - ensure_extensions_registered(self._logical_type_registry, dataset.schema) + register_discovered_extensions(self._logical_type_registry, dataset.schema) if filters and expression is None: for filt in filters: if len(filt) == 3: diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index efe9ca3d..6362af0b 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -13,14 +13,14 @@ from __future__ import annotations -from .protocols import LogicalType, LogicalTypeFactory +from .protocols import LogicalTypeProtocol, LogicalTypeFactoryProtocol from .registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema -from .database_hooks import ensure_extensions_registered +from .database_hooks import register_discovered_extensions __all__ = [ - "LogicalType", - "LogicalTypeFactory", + "LogicalTypeProtocol", + "LogicalTypeFactoryProtocol", "LogicalTypeRegistry", "make_arrow_extension_type", "make_polars_extension_type", @@ -29,5 +29,5 @@ "walk_schema", "walk_field", # PLT-1655 - "ensure_extensions_registered", + "register_discovered_extensions", ] diff --git a/src/orcapod/extension_types/database_hooks.py b/src/orcapod/extension_types/database_hooks.py index 066dd2e7..3c449c3a 100644 --- a/src/orcapod/extension_types/database_hooks.py +++ b/src/orcapod/extension_types/database_hooks.py @@ -1,8 +1,8 @@ -"""Peek-schema hook for extension type auto-registration at database read time. +"""Schema-walking hook for extension type auto-registration. -Call ``ensure_extensions_registered(registry, schema)`` before returning any -Arrow table from a database read path. It is a no-op when the schema contains -no extension types or when *registry* is ``None``. +Call ``register_discovered_extensions(registry, schema)`` on any Arrow schema +that may contain extension types. It is a no-op when the schema contains no +extension types or when *registry* is ``None``. """ from __future__ import annotations @@ -19,7 +19,7 @@ logger = logging.getLogger(__name__) -def ensure_extensions_registered( +def register_discovered_extensions( registry: LogicalTypeRegistry | None, schema: pa.Schema, ) -> None: @@ -27,7 +27,7 @@ def ensure_extensions_registered( Walks ``schema`` recursively to discover all Arrow extension types at any nesting depth. For each discovered type, delegates to - ``registry.prepare_extension_type``. + ``registry.ensure_extension_type``. Already-registered types are detected and skipped inside the registry — this function itself is stateless beyond the registry it operates on. @@ -46,20 +46,20 @@ def ensure_extensions_registered( has no registered factory or is malformed. """ if registry is None: - logger.debug("ensure_extensions_registered: no registry provided, skipping") + logger.debug("register_discovered_extensions: no registry provided, skipping") return found = walk_schema(schema) if not found: - logger.debug("ensure_extensions_registered: no extension types in schema") + logger.debug("register_discovered_extensions: no extension types in schema") return logger.debug( - "ensure_extensions_registered: found %d extension type(s) in schema: %s", + "register_discovered_extensions: found %d extension type(s) in schema: %s", len(found), [info.extension_name for info in found], ) for info in found: - registry.prepare_extension_type( + registry.ensure_extension_type( info.extension_name, info.extension_metadata, info.storage_type, diff --git a/src/orcapod/extension_types/protocols.py b/src/orcapod/extension_types/protocols.py index 5ad64361..36602fc0 100644 --- a/src/orcapod/extension_types/protocols.py +++ b/src/orcapod/extension_types/protocols.py @@ -1,9 +1,9 @@ """Protocol definitions for the Arrow/Polars extension type system. -This module defines ``LogicalType`` and ``LogicalTypeFactory`` — the contracts -for implementations that bind a Python class to its Arrow and Polars extension -type representation, and for factories that auto-construct such implementations -from Arrow schema metadata. +This module defines ``LogicalTypeProtocol`` and ``LogicalTypeFactoryProtocol`` — +the contracts for implementations that bind a Python class to its Arrow and Polars +extension type representation, and for factories that auto-construct such +implementations from Arrow schema metadata. Note: This module is part of the parallel-build phase. The old @@ -21,10 +21,10 @@ @runtime_checkable -class LogicalType(Protocol): +class LogicalTypeProtocol(Protocol): """Protocol for Arrow/Polars extension-type-backed logical types. - A ``LogicalType`` is a three-way binding between a unique logical type name + A ``LogicalTypeProtocol`` is a three-way binding between a unique logical type name (orcapod's identifier), a Python class, and Arrow/Polars extension types. Each implementation *owns* its Arrow and Polars extension types by providing them directly via ``get_arrow_extension_type`` and ``get_polars_extension_type``. @@ -93,18 +93,18 @@ def storage_to_python(self, storage_value: Any) -> Any: @runtime_checkable -class LogicalTypeFactory(Protocol): - """Protocol for factories that auto-construct ``LogicalType`` instances from Arrow schema metadata. +class LogicalTypeFactoryProtocol(Protocol): + """Protocol for factories that auto-construct ``LogicalTypeProtocol`` instances from Arrow schema metadata. - A ``LogicalTypeFactory`` constructs a ``LogicalType`` from the Arrow extension - type name, its underlying storage type, and the full parsed JSON metadata dict. - The dispatch key (``"category"`` value from the metadata JSON) that routes to this - factory is declared at registration time via + A ``LogicalTypeFactoryProtocol`` constructs a ``LogicalTypeProtocol`` from the + Arrow extension type name, its underlying storage type, and the full parsed JSON + metadata dict. The dispatch key (``"category"`` value from the metadata JSON) that + routes to this factory is declared at registration time via ``LogicalTypeRegistry.register_logical_type_factory``; the factory itself has no knowledge of its dispatch key but receives the full metadata dict so it can read additional hints beyond ``"category"``. - This protocol is ``@runtime_checkable``, consistent with ``LogicalType``. + This protocol is ``@runtime_checkable``, consistent with ``LogicalTypeProtocol``. """ def create_logical_type( @@ -112,8 +112,8 @@ def create_logical_type( arrow_extension_name: str, storage_type: pa.DataType, metadata: dict[str, Any], - ) -> LogicalType: - """Construct a ``LogicalType`` for the given Arrow extension name and storage type. + ) -> LogicalTypeProtocol: + """Construct a ``LogicalTypeProtocol`` for the given Arrow extension name and storage type. Args: arrow_extension_name: The Arrow extension type name extracted from the @@ -124,8 +124,8 @@ def create_logical_type( ``"protocol"``, ``"pydantic_version"``). Returns: - A fully constructed ``LogicalType`` ready to be passed to - ``LogicalTypeRegistry.register()``. + A fully constructed ``LogicalTypeProtocol`` ready to be passed to + ``LogicalTypeRegistry.register_logical_type()``. Raises: ValueError: If this factory cannot construct a logical type for the given diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 08994fd4..a1b25b93 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -11,7 +11,7 @@ import re from typing import TYPE_CHECKING -from orcapod.extension_types.protocols import LogicalType, LogicalTypeFactory +from orcapod.extension_types.protocols import LogicalTypeProtocol, LogicalTypeFactoryProtocol from orcapod.utils.lazy_module import LazyModule if TYPE_CHECKING: @@ -175,37 +175,37 @@ class LogicalTypeRegistry: Thread-safety is deferred. An optional ``logical_types`` list can be passed at construction time to - pre-register one or more ``LogicalType`` instances immediately, following + pre-register one or more ``LogicalTypeProtocol`` instances immediately, following the same pattern as ``SemanticTypeRegistry``'s ``converters`` constructor argument. Example: >>> registry = LogicalTypeRegistry() - >>> registry.register(my_logical_type) + >>> registry.register_logical_type(my_logical_type) >>> lt = registry.get_by_logical_name("uuid.UUID") >>> # Pre-register types at construction: >>> registry = LogicalTypeRegistry(logical_types=[path_lt, uuid_lt]) """ - def __init__(self, logical_types: list[LogicalType] | None = None) -> None: - self._by_logical_name: dict[str, LogicalType] = {} - self._by_arrow_name: dict[str, LogicalType] = {} - self._by_python_type: dict[type, LogicalType] = {} - self._factories: dict[str, LogicalTypeFactory] = {} + def __init__(self, logical_types: list[LogicalTypeProtocol] | None = None) -> None: + self._by_logical_name: dict[str, LogicalTypeProtocol] = {} + self._by_arrow_name: dict[str, LogicalTypeProtocol] = {} + self._by_python_type: dict[type, LogicalTypeProtocol] = {} + self._factories: dict[str, LogicalTypeFactoryProtocol] = {} for lt in (logical_types or []): - self.register(lt) + self.register_logical_type(lt) - def register(self, logical_type: LogicalType) -> None: + def register_logical_type(self, logical_type: LogicalTypeProtocol) -> None: """Register *logical_type* and its PyArrow/Polars extension types. Args: - logical_type: A ``LogicalType`` instance to register. + logical_type: A ``LogicalTypeProtocol`` instance to register. Raises: ValueError: If any of the three keys (``logical_type_name``, Arrow extension name, ``python_type``) is already bound to a - *different* ``LogicalType`` in this registry. + *different* ``LogicalTypeProtocol`` in this registry. """ arrow_ext = logical_type.get_arrow_extension_type() arrow_ext_name = arrow_ext.extension_name @@ -262,11 +262,11 @@ def register(self, logical_type: LogicalType) -> None: self._by_arrow_name[arrow_ext_name] = logical_type self._by_python_type[py_type] = logical_type - def get_by_logical_name(self, name: str) -> LogicalType | None: + def get_by_logical_name(self, name: str) -> LogicalTypeProtocol | None: """Return the logical type registered under *name*, or ``None``.""" return self._by_logical_name.get(name) - def get_by_python_type(self, python_type: type) -> LogicalType | None: + def get_by_python_type(self, python_type: type) -> LogicalTypeProtocol | None: """Return the logical type for *python_type*, or ``None``. Checks exact match first, then falls back to an ``issubclass`` scan. @@ -284,18 +284,18 @@ def get_by_python_type(self, python_type: type) -> LogicalType | None: continue return None - def get_by_arrow_extension_name(self, arrow_name: str) -> LogicalType | None: + def get_by_arrow_extension_name(self, arrow_name: str) -> LogicalTypeProtocol | None: """Return the logical type registered under *arrow_name*, or ``None``.""" return self._by_arrow_name.get(arrow_name) def register_logical_type_factory( self, category: str, - factory: LogicalTypeFactory, + factory: LogicalTypeFactoryProtocol, ) -> None: """Register a factory for the given metadata category string. - When ``prepare_extension_type`` encounters an Arrow extension type whose + When ``ensure_extension_type`` encounters an Arrow extension type whose ``extension_metadata`` JSON contains ``{"category": "", ...}``, it calls ``factory.create_logical_type(arrow_extension_name, storage_type, metadata_dict)`` to construct the logical type and then registers it. @@ -322,16 +322,16 @@ def register_logical_type_factory( "registered LogicalTypeFactory for category %r: %r", category, factory ) - def prepare_extension_type( + def ensure_extension_type( self, arrow_extension_name: str, extension_metadata: bytes | None, storage_type: pa.DataType, ) -> None: """Ensure the Arrow extension type identified by ``arrow_extension_name`` - is registered as a ``LogicalType``. + is registered as a ``LogicalTypeProtocol``. - This is the single entry point called by ``ensure_extensions_registered`` + This is the single entry point called by ``register_discovered_extensions`` in ``database_hooks``. The registry owns all dispatch logic. Args: @@ -352,7 +352,7 @@ def prepare_extension_type( # Step 1: per-process cache hit — no-op regardless of metadata content. if self.get_by_arrow_extension_name(arrow_extension_name) is not None: logger.debug( - "prepare_extension_type: %r already registered, skipping", + "ensure_extension_type: %r already registered, skipping", arrow_extension_name, ) return @@ -364,7 +364,7 @@ def prepare_extension_type( f"(metadata is None).\n" f"Types without a metadata category tag cannot be auto-registered via " f"a factory — they must be pre-registered explicitly via " - f"registry.register(logical_type) on the registry instance used for reads." + f"registry.register_logical_type(logical_type) on the registry instance used for reads." ) # Step 3: Parse JSON. @@ -420,7 +420,7 @@ def prepare_extension_type( # Step 6: Construct logical type via factory. logger.debug( - "prepare_extension_type: %r not registered — dispatching to category %r factory", + "ensure_extension_type: %r not registered — dispatching to category %r factory", arrow_extension_name, category, ) @@ -429,9 +429,9 @@ def prepare_extension_type( ) # Step 7: Register in all three bindings + PA/Polars global registries. - self.register(logical_type) + self.register_logical_type(logical_type) logger.debug( - "prepare_extension_type: successfully registered %r via factory for category %r", + "ensure_extension_type: successfully registered %r via factory for category %r", arrow_extension_name, category, ) diff --git a/tests/test_extension_types/test_builtin_logical_types.py b/tests/test_extension_types/test_builtin_logical_types.py index 707b65e7..9001e607 100644 --- a/tests/test_extension_types/test_builtin_logical_types.py +++ b/tests/test_extension_types/test_builtin_logical_types.py @@ -9,7 +9,7 @@ import pyarrow as pa from upath import UPath -from orcapod.extension_types.protocols import LogicalType +from orcapod.extension_types.protocols import LogicalTypeProtocol from orcapod.extension_types.registry import LogicalTypeRegistry @@ -22,7 +22,7 @@ def test_logical_path_isinstance_logical_type(): """LogicalPath() satisfies the LogicalType runtime-checkable protocol.""" from orcapod.extension_types.builtin_logical_types import LogicalPath - assert isinstance(LogicalPath(), LogicalType) + assert isinstance(LogicalPath(), LogicalTypeProtocol) def test_logical_path_logical_type_name(): @@ -94,7 +94,7 @@ def test_logical_upath_isinstance_logical_type(): """LogicalUPath() satisfies the LogicalType runtime-checkable protocol.""" from orcapod.extension_types.builtin_logical_types import LogicalUPath - assert isinstance(LogicalUPath(), LogicalType) + assert isinstance(LogicalUPath(), LogicalTypeProtocol) def test_logical_upath_logical_type_name(): @@ -164,7 +164,7 @@ def test_logical_uuid_isinstance_logical_type(): """LogicalUUID() satisfies the LogicalType runtime-checkable protocol.""" from orcapod.extension_types.builtin_logical_types import LogicalUUID - assert isinstance(LogicalUUID(), LogicalType) + assert isinstance(LogicalUUID(), LogicalTypeProtocol) def test_logical_uuid_logical_type_name(): @@ -244,7 +244,7 @@ def test_logical_uuid_registration_does_not_raise(): registry = LogicalTypeRegistry() lt = LogicalUUID() - registry.register(lt) # should NOT raise + registry.register_logical_type(lt) # should NOT raise assert registry.get_by_logical_name("uuid.UUID") is lt assert registry.get_by_arrow_extension_name("uuid.UUID") is lt @@ -260,7 +260,7 @@ def test_logical_path_arrow_round_trip(): lt = LogicalPath() registry = LogicalTypeRegistry() - registry.register(lt) + registry.register_logical_type(lt) originals = [pathlib.Path("/tmp/foo"), pathlib.Path("/home/user/bar.txt")] storage_vals = [lt.python_to_storage(p) for p in originals] @@ -277,7 +277,7 @@ def test_logical_path_polars_round_trip(): lt = LogicalPath() registry = LogicalTypeRegistry() - registry.register(lt) + registry.register_logical_type(lt) originals = [pathlib.Path("/tmp/foo"), pathlib.Path("/home/user/bar.txt")] storage_vals = [lt.python_to_storage(p) for p in originals] @@ -296,7 +296,7 @@ def test_logical_upath_arrow_round_trip(): lt = LogicalUPath() registry = LogicalTypeRegistry() - registry.register(lt) + registry.register_logical_type(lt) originals = [UPath("s3://bucket/key"), UPath("gs://other/path/file.txt")] storage_vals = [lt.python_to_storage(p) for p in originals] @@ -313,7 +313,7 @@ def test_logical_upath_polars_round_trip(): lt = LogicalUPath() registry = LogicalTypeRegistry() - registry.register(lt) + registry.register_logical_type(lt) originals = [UPath("s3://bucket/key"), UPath("gs://other/path/file.txt")] storage_vals = [lt.python_to_storage(p) for p in originals] @@ -332,7 +332,7 @@ def test_logical_uuid_arrow_round_trip(): lt = LogicalUUID() registry = LogicalTypeRegistry() - registry.register(lt) + registry.register_logical_type(lt) originals = [uuid_module.UUID("12345678-1234-5678-1234-567812345678"), uuid_module.uuid4()] storage_vals = [lt.python_to_storage(u) for u in originals] @@ -349,7 +349,7 @@ def test_logical_uuid_polars_round_trip(): lt = LogicalUUID() registry = LogicalTypeRegistry() - registry.register(lt) + registry.register_logical_type(lt) originals = [uuid_module.UUID("12345678-1234-5678-1234-567812345678"), uuid_module.uuid4()] storage_vals = [lt.python_to_storage(u) for u in originals] diff --git a/tests/test_extension_types/test_database_hooks.py b/tests/test_extension_types/test_database_hooks.py index 20d60ecd..5b0eff84 100644 --- a/tests/test_extension_types/test_database_hooks.py +++ b/tests/test_extension_types/test_database_hooks.py @@ -1,4 +1,4 @@ -"""Tests for ensure_extensions_registered in database_hooks.""" +"""Tests for register_discovered_extensions in database_hooks.""" from __future__ import annotations @@ -119,21 +119,21 @@ def fresh_registry(): # --------------------------------------------------------------------------- def test_no_extension_types_is_noop(fresh_registry): - """Schema with only primitives — ensure_extensions_registered returns without touching registry.""" - from orcapod.extension_types.database_hooks import ensure_extensions_registered + """Schema with only primitives — register_discovered_extensions returns without touching registry.""" + from orcapod.extension_types.database_hooks import register_discovered_extensions schema = pa.schema([ pa.field("id", pa.int64()), pa.field("name", pa.large_utf8()), ]) - ensure_extensions_registered(fresh_registry, schema) + register_discovered_extensions(fresh_registry, schema) # fresh_registry is empty — no error means no spurious lookup was triggered assert fresh_registry.get_by_arrow_extension_name("anything") is None def test_known_type_is_registered(fresh_registry): """Schema with one extension type whose factory is registered — type is registered after call.""" - from orcapod.extension_types.database_hooks import ensure_extensions_registered + from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() factory = _make_stub_factory() @@ -142,15 +142,15 @@ def test_known_type_is_registered(fresh_registry): metadata_bytes = json.dumps({"category": "TestCat"}).encode() schema = _make_ext_schema(arrow_name, metadata=metadata_bytes) - ensure_extensions_registered(fresh_registry, schema) + register_discovered_extensions(fresh_registry, schema) assert fresh_registry.get_by_arrow_extension_name(arrow_name) is not None assert len(factory.calls) == 1 def test_already_registered_is_skipped(fresh_registry): - """Calling ensure_extensions_registered twice does not raise and factory is called once.""" - from orcapod.extension_types.database_hooks import ensure_extensions_registered + """Calling register_discovered_extensions twice does not raise and factory is called once.""" + from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() factory = _make_stub_factory() @@ -159,15 +159,15 @@ def test_already_registered_is_skipped(fresh_registry): metadata_bytes = json.dumps({"category": "TestCat"}).encode() schema = _make_ext_schema(arrow_name, metadata=metadata_bytes) - ensure_extensions_registered(fresh_registry, schema) - ensure_extensions_registered(fresh_registry, schema) # second call + register_discovered_extensions(fresh_registry, schema) + register_discovered_extensions(fresh_registry, schema) # second call assert len(factory.calls) == 1 # factory invoked exactly once def test_none_metadata_already_registered_noop(fresh_registry): """Extension type with None metadata that IS already in the registry — silent no-op.""" - from orcapod.extension_types.database_hooks import ensure_extensions_registered + from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() factory = _make_stub_factory() @@ -176,39 +176,39 @@ def test_none_metadata_already_registered_noop(fresh_registry): # First: register via metadata so it ends up in the registry. metadata_bytes = json.dumps({"category": "TestCat"}).encode() schema_with_meta = _make_ext_schema(arrow_name, metadata=metadata_bytes) - ensure_extensions_registered(fresh_registry, schema_with_meta) + register_discovered_extensions(fresh_registry, schema_with_meta) # Now: same arrow name but with no metadata (simulates reading the schema without # metadata — e.g. after an IPC round-trip where the type is now registered in-process). schema_no_meta = _make_ext_schema(arrow_name, metadata=None) # metadata=None → serialized as b"" → walker normalizes to None - ensure_extensions_registered(fresh_registry, schema_no_meta) # should NOT raise + register_discovered_extensions(fresh_registry, schema_no_meta) # should NOT raise def test_none_metadata_not_registered_raises(fresh_registry): """Unregistered extension type with None metadata raises ValueError.""" - from orcapod.extension_types.database_hooks import ensure_extensions_registered + from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() schema = _make_ext_schema(arrow_name, metadata=None) # metadata=None → serialized as b"" → walker normalizes to None with pytest.raises(ValueError, match="must be pre-registered explicitly"): - ensure_extensions_registered(fresh_registry, schema) + register_discovered_extensions(fresh_registry, schema) def test_metadata_not_json_raises(fresh_registry): """Unregistered extension type with non-JSON metadata bytes raises ValueError.""" - from orcapod.extension_types.database_hooks import ensure_extensions_registered + from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() schema = _make_field_metadata_schema(arrow_name, metadata=b"not-json!") with pytest.raises(ValueError, match="not valid UTF-8 JSON"): - ensure_extensions_registered(fresh_registry, schema) + register_discovered_extensions(fresh_registry, schema) def test_metadata_json_missing_category_raises(fresh_registry): """Unregistered extension type with valid JSON but no 'category' key raises ValueError.""" - from orcapod.extension_types.database_hooks import ensure_extensions_registered + from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() schema = _make_field_metadata_schema( @@ -216,12 +216,12 @@ def test_metadata_json_missing_category_raises(fresh_registry): ) with pytest.raises(ValueError, match='"category"'): - ensure_extensions_registered(fresh_registry, schema) + register_discovered_extensions(fresh_registry, schema) def test_unknown_metadata_raises(fresh_registry): """Unregistered extension type with valid JSON and 'category' but no matching factory raises ValueError.""" - from orcapod.extension_types.database_hooks import ensure_extensions_registered + from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() schema = _make_field_metadata_schema( @@ -229,12 +229,12 @@ def test_unknown_metadata_raises(fresh_registry): ) with pytest.raises(ValueError, match="NoSuchFactory"): - ensure_extensions_registered(fresh_registry, schema) + register_discovered_extensions(fresh_registry, schema) def test_nested_extension_type(fresh_registry): """Extension type inside a struct column is discovered and registered.""" - from orcapod.extension_types.database_hooks import ensure_extensions_registered + from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() factory = _make_stub_factory() @@ -246,7 +246,7 @@ def test_nested_extension_type(fresh_registry): struct_type = pa.struct([pa.field("inner", inner_ext_cls())]) schema = pa.schema([pa.field("outer", struct_type)]) - ensure_extensions_registered(fresh_registry, schema) + register_discovered_extensions(fresh_registry, schema) assert fresh_registry.get_by_arrow_extension_name(arrow_name) is not None assert len(factory.calls) == 1 diff --git a/tests/test_extension_types/test_protocols.py b/tests/test_extension_types/test_protocols.py index 85cd215e..54598203 100644 --- a/tests/test_extension_types/test_protocols.py +++ b/tests/test_extension_types/test_protocols.py @@ -1,16 +1,16 @@ -"""Tests for LogicalType protocol.""" +"""Tests for LogicalTypeProtocol and LogicalTypeFactoryProtocol.""" from __future__ import annotations import pyarrow as pa import polars as pl -from orcapod.extension_types.protocols import LogicalType +from orcapod.extension_types.protocols import LogicalTypeProtocol from orcapod.extension_types.registry import make_arrow_extension_type class _StubLogicalType: - """Minimal conforming implementation of LogicalType for use in tests.""" + """Minimal conforming implementation of LogicalTypeProtocol for use in tests.""" _ArrowExtClass = make_arrow_extension_type("test.module.MyType", pa.large_string()) @@ -42,47 +42,47 @@ def storage_to_python(self, storage_value): class _StubFactory: - """Minimal conforming implementation of LogicalTypeFactory for use in tests.""" + """Minimal conforming implementation of LogicalTypeFactoryProtocol for use in tests.""" def create_logical_type(self, arrow_extension_name, storage_type, metadata): return _StubLogicalType() def test_logical_type_factory_protocol_is_importable(): - """LogicalTypeFactory can be imported from extension_types.protocols.""" - from orcapod.extension_types.protocols import LogicalTypeFactory - assert LogicalTypeFactory is not None + """LogicalTypeFactoryProtocol can be imported from extension_types.protocols.""" + from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol + assert LogicalTypeFactoryProtocol is not None def test_logical_type_factory_conforming_class_satisfies_protocol(): - """A conforming class is recognized as a LogicalTypeFactory instance.""" - from orcapod.extension_types.protocols import LogicalTypeFactory - assert isinstance(_StubFactory(), LogicalTypeFactory) + """A conforming class is recognized as a LogicalTypeFactoryProtocol instance.""" + from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol + assert isinstance(_StubFactory(), LogicalTypeFactoryProtocol) def test_logical_type_factory_create_returns_logical_type(): - """A conforming factory returns a LogicalType from create_logical_type.""" - from orcapod.extension_types.protocols import LogicalTypeFactory, LogicalType - factory: LogicalTypeFactory = _StubFactory() + """A conforming factory returns a LogicalTypeProtocol from create_logical_type.""" + from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol, LogicalTypeProtocol + factory: LogicalTypeFactoryProtocol = _StubFactory() result = factory.create_logical_type( "test.ext", pa.large_utf8(), {"category": "Test"} ) - assert isinstance(result, LogicalType) + assert isinstance(result, LogicalTypeProtocol) def test_protocol_is_importable(): - """LogicalType can be imported from extension_types.protocols.""" - assert LogicalType is not None + """LogicalTypeProtocol can be imported from extension_types.protocols.""" + assert LogicalTypeProtocol is not None def test_protocol_defines_required_members(): - """A conforming class is recognized as a LogicalType instance.""" - assert isinstance(_StubLogicalType(), LogicalType) + """A conforming class is recognized as a LogicalTypeProtocol instance.""" + assert isinstance(_StubLogicalType(), LogicalTypeProtocol) def test_conforming_class_satisfies_protocol(): """A class implementing all required members works correctly via the protocol interface.""" - lt: LogicalType = _StubLogicalType() + lt: LogicalTypeProtocol = _StubLogicalType() assert lt.logical_type_name == "test.module.MyType" assert lt.python_type is str assert lt.get_arrow_extension_type().extension_name == "test.module.MyType" diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index bf01898a..57a9d684 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -13,7 +13,7 @@ import pyarrow.parquet as pq import pytest -from orcapod.extension_types.protocols import LogicalType, LogicalTypeFactory +from orcapod.extension_types.protocols import LogicalTypeProtocol, LogicalTypeFactoryProtocol from orcapod.extension_types.registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type @@ -31,8 +31,8 @@ def _make_stub( logical_name: str | None = None, storage: pa.DataType | None = None, py_type: type = str, -) -> LogicalType: - """Factory for minimal LogicalType conforming stubs. +) -> LogicalTypeProtocol: + """Factory for minimal LogicalTypeProtocol conforming stubs. ``arrow_name`` defaults to ``logical_name`` (or a unique name if both are omitted) so that callers can pass a single name and get consistent arrow @@ -77,8 +77,8 @@ def storage_to_python(self, storage_value): return _Stub() -def _make_stub_factory(return_lt: LogicalType | None = None) -> LogicalTypeFactory: - """Factory for minimal LogicalTypeFactory conforming stubs. +def _make_stub_factory(return_lt: LogicalTypeProtocol | None = None) -> LogicalTypeFactoryProtocol: + """Factory for minimal LogicalTypeFactoryProtocol conforming stubs. If ``return_lt`` is given, ``create_logical_type`` returns it; otherwise it creates a fresh stub using ``_make_stub`` keyed on the arrow name. @@ -149,7 +149,7 @@ def test_make_arrow_extension_type_metadata_roundtrip(): def test_register_stores_logical_type(): registry = LogicalTypeRegistry() lt = _make_stub() - registry.register(lt) + registry.register_logical_type(lt) assert registry.get_by_logical_name(lt.logical_type_name) is lt @@ -157,8 +157,8 @@ def test_register_same_instance_twice_is_idempotent(): """Re-registering the exact same instance does not raise.""" registry = LogicalTypeRegistry() lt = _make_stub() - registry.register(lt) - registry.register(lt) # should not raise + registry.register_logical_type(lt) + registry.register_logical_type(lt) # should not raise assert registry.get_by_logical_name(lt.logical_type_name) is lt @@ -168,9 +168,9 @@ def test_register_conflict_on_logical_name_raises(): name = _unique_name() lt1 = _make_stub(logical_name=name, py_type=str) lt2 = _make_stub(logical_name=name, py_type=bytes) - registry.register(lt1) + registry.register_logical_type(lt1) with pytest.raises(ValueError, match="logical_type_name"): - registry.register(lt2) + registry.register_logical_type(lt2) def test_register_conflict_on_arrow_name_raises(): @@ -179,9 +179,9 @@ def test_register_conflict_on_arrow_name_raises(): arrow_name = _unique_name() lt1 = _make_stub(arrow_name=arrow_name, logical_name=_unique_name(), py_type=str) lt2 = _make_stub(arrow_name=arrow_name, logical_name=_unique_name(), py_type=bytes) - registry.register(lt1) + registry.register_logical_type(lt1) with pytest.raises(ValueError, match="arrow_extension_name"): - registry.register(lt2) + registry.register_logical_type(lt2) def test_register_conflict_on_python_type_raises(): @@ -189,9 +189,9 @@ def test_register_conflict_on_python_type_raises(): registry = LogicalTypeRegistry() lt1 = _make_stub(py_type=float) lt2 = _make_stub(py_type=float) - registry.register(lt1) + registry.register_logical_type(lt1) with pytest.raises(ValueError, match="python_type"): - registry.register(lt2) + registry.register_logical_type(lt2) def test_get_by_logical_name_miss(): @@ -202,7 +202,7 @@ def test_get_by_logical_name_miss(): def test_get_by_python_type_exact(): registry = LogicalTypeRegistry() lt = _make_stub(py_type=bytes) - registry.register(lt) + registry.register_logical_type(lt) assert registry.get_by_python_type(bytes) is lt @@ -215,7 +215,7 @@ class _Child(_Base): registry = LogicalTypeRegistry() lt = _make_stub(py_type=_Base) - registry.register(lt) + registry.register_logical_type(lt) assert registry.get_by_python_type(_Child) is lt @@ -228,7 +228,7 @@ def test_get_by_arrow_extension_name(): registry = LogicalTypeRegistry() arrow_name = _unique_name() lt = _make_stub(arrow_name=arrow_name) - registry.register(lt) + registry.register_logical_type(lt) assert registry.get_by_arrow_extension_name(arrow_name) is lt @@ -308,7 +308,7 @@ def test_register_populates_arrow_registry(): """After register(), PA global registry contains the extension type.""" lt = _make_stub() registry = LogicalTypeRegistry() - registry.register(lt) + registry.register_logical_type(lt) # If the name is registered, attempting to re-register the same type raises # ArrowKeyError. This is the only stable public signal PyArrow provides. @@ -334,17 +334,17 @@ def __arrow_ext_deserialize__(cls, st, se): # New semantics: pre-existing registrations are accepted silently. lt = _make_stub(arrow_name=name) registry = LogicalTypeRegistry() - registry.register(lt) # should NOT raise + registry.register_logical_type(lt) # should NOT raise assert registry.get_by_logical_name(lt.logical_type_name) is lt def test_register_same_instance_two_registries(): - """The same LogicalType instance can be registered in two different registry instances.""" + """The same LogicalTypeProtocol instance can be registered in two different registry instances.""" lt = _make_stub() r1 = LogicalTypeRegistry() r2 = LogicalTypeRegistry() - r1.register(lt) - r2.register(lt) # should not raise (same instance, PA/Polars accept silently) + r1.register_logical_type(lt) + r2.register_logical_type(lt) # should not raise (same instance, PA/Polars accept silently) assert r2.get_by_logical_name(lt.logical_type_name) is lt @@ -357,7 +357,7 @@ def test_register_populates_polars_registry(): arrow_name = _unique_name() lt = _make_stub(arrow_name=arrow_name) registry = LogicalTypeRegistry() - registry.register(lt) + registry.register_logical_type(lt) # Verify by attempting to create a Polars series from a PA extension array. ext_type = lt.get_arrow_extension_type() @@ -397,7 +397,7 @@ def __arrow_ext_deserialize__(cls, st, se): lt = _make_stub(arrow_name=name) registry = LogicalTypeRegistry() - registry.register(lt) # should NOT raise + registry.register_logical_type(lt) # should NOT raise assert registry.get_by_logical_name(lt.logical_type_name) is lt @@ -407,7 +407,7 @@ def __arrow_ext_deserialize__(cls, st, se): class _Color: - """Minimal Python class used to exercise the LogicalType contract end-to-end.""" + """Minimal Python class used to exercise the LogicalTypeProtocol contract end-to-end.""" def __init__(self, hex_str: str) -> None: self.hex_str = hex_str def __eq__(self, other: object) -> bool: @@ -416,8 +416,8 @@ def __repr__(self) -> str: return f"Color({self.hex_str!r})" -def _make_color_logical_type() -> LogicalType: - """LogicalType for _Color, backed by pa.large_utf8() storage.""" +def _make_color_logical_type() -> LogicalTypeProtocol: + """LogicalTypeProtocol for _Color, backed by pa.large_utf8() storage.""" _name = _unique_name() _ArrowExtClass = make_arrow_extension_type(_name, pa.large_utf8(), metadata=b"test.color") @@ -453,12 +453,12 @@ def storage_to_python(self, storage_value: str) -> _Color: def _build_ext_array( - lt: LogicalType, + lt: LogicalTypeProtocol, values: list, ) -> pa.Array: """Build a PA extension array from Python values using the logical type. - Global registration (via ``registry.register(lt)``) is NOT required for + Global registration (via ``registry.register_logical_type(lt)``) is NOT required for this helper — ``cast()`` works with any ``pa.ExtensionType`` instance. Registration is only needed for IPC/Parquet *deserialization*, where Arrow maps the ``extension_name`` string back to the registered Python type. @@ -473,7 +473,7 @@ def test_python_class_round_trip(): """Python objects -> Arrow extension array -> Python objects via logical type methods.""" lt = _make_color_logical_type() registry = LogicalTypeRegistry() - registry.register(lt) + registry.register_logical_type(lt) originals = [_Color("#ff0000"), _Color("#00ff00"), _Color("#0000ff")] ext_arr = _build_ext_array(lt, originals) @@ -486,7 +486,7 @@ def test_arrow_polars_round_trip(): """PA ext array -> pl.from_arrow -> to_arrow() preserves extension type and values.""" lt = _make_color_logical_type() registry = LogicalTypeRegistry() - registry.register(lt) + registry.register_logical_type(lt) originals = [_Color("#aabbcc"), _Color("#112233")] ext_arr = _build_ext_array(lt, originals) @@ -509,7 +509,7 @@ def test_parquet_round_trip(): """PA ext array -> Parquet -> read back via PyArrow; extension type and values preserved.""" lt = _make_color_logical_type() registry = LogicalTypeRegistry() - registry.register(lt) + registry.register_logical_type(lt) originals = [_Color("#deadbe"), _Color("#cafeba")] ext_arr = _build_ext_array(lt, originals) @@ -577,18 +577,18 @@ def test_make_polars_extension_type_with_metadata(): # --------------------------------------------------------------------------- -# prepare_extension_type tests +# ensure_extension_type tests # --------------------------------------------------------------------------- def test_register_logical_type_factory_dispatches_on_prepare(): - """prepare_extension_type dispatches to the registered factory and registers the result.""" + """ensure_extension_type dispatches to the registered factory and registers the result.""" registry = LogicalTypeRegistry() factory = _make_stub_factory() registry.register_logical_type_factory("TestCat", factory) arrow_name = _unique_name() metadata_bytes = json.dumps({"category": "TestCat"}).encode() - registry.prepare_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) + registry.ensure_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) assert len(factory.calls) == 1 assert factory.calls[0][0] == arrow_name @@ -605,7 +605,7 @@ def test_factory_receives_full_metadata_dict(): metadata_bytes = json.dumps( {"category": "TestCat", "protocol": 5, "version": "1.0"} ).encode() - registry.prepare_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) + registry.ensure_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) assert len(factory.calls) == 1 _, _, received_metadata = factory.calls[0] @@ -613,7 +613,7 @@ def test_factory_receives_full_metadata_dict(): def test_prepare_already_registered_noop(): - """prepare_extension_type called twice does not raise and does not call the factory again.""" + """ensure_extension_type called twice does not raise and does not call the factory again.""" registry = LogicalTypeRegistry() factory = _make_stub_factory() registry.register_logical_type_factory("TestCat", factory) @@ -621,8 +621,8 @@ def test_prepare_already_registered_noop(): arrow_name = _unique_name() metadata_bytes = json.dumps({"category": "TestCat"}).encode() - registry.prepare_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) - registry.prepare_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) # second call + registry.ensure_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) + registry.ensure_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) # second call assert len(factory.calls) == 1 # factory called exactly once @@ -631,10 +631,10 @@ def test_prepare_already_registered_none_metadata_noop(): """Type pre-registered via register(); None metadata on prepare call is a silent no-op.""" registry = LogicalTypeRegistry() lt = _make_stub() - registry.register(lt) + registry.register_logical_type(lt) arrow_name = lt.get_arrow_extension_type().extension_name - registry.prepare_extension_type(arrow_name, None, pa.large_utf8()) # should not raise + registry.ensure_extension_type(arrow_name, None, pa.large_utf8()) # should not raise def test_prepare_none_metadata_not_registered_raises(): @@ -643,7 +643,7 @@ def test_prepare_none_metadata_not_registered_raises(): arrow_name = _unique_name() with pytest.raises(ValueError, match="must be pre-registered explicitly"): - registry.prepare_extension_type(arrow_name, None, pa.large_utf8()) + registry.ensure_extension_type(arrow_name, None, pa.large_utf8()) def test_prepare_invalid_json_raises(): @@ -653,7 +653,7 @@ def test_prepare_invalid_json_raises(): bad_metadata = b"not-json!" with pytest.raises(ValueError, match="not valid UTF-8 JSON"): - registry.prepare_extension_type(arrow_name, bad_metadata, pa.large_utf8()) + registry.ensure_extension_type(arrow_name, bad_metadata, pa.large_utf8()) def test_prepare_json_missing_category_raises(): @@ -663,7 +663,7 @@ def test_prepare_json_missing_category_raises(): no_category = json.dumps({"version": 1}).encode() with pytest.raises(ValueError, match='"category"'): - registry.prepare_extension_type(arrow_name, no_category, pa.large_utf8()) + registry.ensure_extension_type(arrow_name, no_category, pa.large_utf8()) def test_prepare_unknown_category_raises(): @@ -673,4 +673,4 @@ def test_prepare_unknown_category_raises(): unknown = json.dumps({"category": "NoSuchFactory"}).encode() with pytest.raises(ValueError, match="NoSuchFactory"): - registry.prepare_extension_type(arrow_name, unknown, pa.large_utf8()) + registry.ensure_extension_type(arrow_name, unknown, pa.large_utf8()) From 6a0220ed77fadc5abe5623bc7c62bbae23dbd2c0 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 02:31:21 +0000 Subject: [PATCH 073/206] feat(extension_types): decouple extension type handling from database classes MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Strip logical_type_registry param and register_discovered_extensions hooks from DeltaTableDatabase and ConnectorArrowDatabase — they are now pure storage with no extension type awareness - Add apply_extension_types(table, registry) to database_hooks: zero-copy post-load cast using pa.ExtensionArray.from_storage per chunk; handles top-level and nested struct extension fields recursively - Add ExtensionAwareDatabase wrapper: takes any ArrowDatabaseProtocol + LogicalTypeRegistry, applies register → cast on every read result; writes and structural methods delegate unchanged Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/databases/__init__.py | 2 + .../databases/connector_arrow_database.py | 6 - src/orcapod/databases/delta_lake_databases.py | 6 - .../databases/extension_aware_database.py | 189 +++++++++++++++ src/orcapod/extension_types/__init__.py | 3 +- src/orcapod/extension_types/database_hooks.py | 163 ++++++++++++- .../test_extension_aware_database.py | 187 ++++++++++++++ .../test_apply_extension_types.py | 228 ++++++++++++++++++ 8 files changed, 767 insertions(+), 17 deletions(-) create mode 100644 src/orcapod/databases/extension_aware_database.py create mode 100644 tests/test_databases/test_extension_aware_database.py create mode 100644 tests/test_extension_types/test_apply_extension_types.py diff --git a/src/orcapod/databases/__init__.py b/src/orcapod/databases/__init__.py index 8a393dd5..864aecc3 100644 --- a/src/orcapod/databases/__init__.py +++ b/src/orcapod/databases/__init__.py @@ -1,5 +1,6 @@ from .connector_arrow_database import ConnectorArrowDatabase from .delta_lake_databases import DeltaTableDatabase +from .extension_aware_database import ExtensionAwareDatabase from .in_memory_databases import InMemoryArrowDatabase from .noop_database import NoOpArrowDatabase from .spiraldb_connector import SpiralDBConnector @@ -9,6 +10,7 @@ __all__ = [ "ConnectorArrowDatabase", "DeltaTableDatabase", + "ExtensionAwareDatabase", "InMemoryArrowDatabase", "NoOpArrowDatabase", "SpiralDBConnector", diff --git a/src/orcapod/databases/connector_arrow_database.py b/src/orcapod/databases/connector_arrow_database.py index 6d0dd2f2..4ebe492b 100644 --- a/src/orcapod/databases/connector_arrow_database.py +++ b/src/orcapod/databases/connector_arrow_database.py @@ -24,8 +24,6 @@ from typing import TYPE_CHECKING, Any, cast from orcapod.databases.utils import coerce_record_id -from orcapod.extension_types.database_hooks import register_discovered_extensions -from orcapod.extension_types.registry import LogicalTypeRegistry from orcapod.protocols.db_connector_protocol import ColumnInfo, DBConnectorProtocol from orcapod.utils.lazy_module import LazyModule @@ -68,7 +66,6 @@ def __init__( self, connector: DBConnectorProtocol, max_hierarchy_depth: int = 10, - logical_type_registry: LogicalTypeRegistry | None = None, _path_prefix: tuple[str, ...] = (), _shared_pending_batches: dict[str, pa.Table] | None = None, _shared_pending_record_ids: dict[str, set[bytes]] | None = None, @@ -76,7 +73,6 @@ def __init__( _root: ConnectorArrowDatabase | None = None, _scoped_path: tuple[str, ...] = (), ) -> None: - self._logical_type_registry = logical_type_registry self._connector = connector self.max_hierarchy_depth = max_hierarchy_depth self._path_prefix = _path_prefix @@ -192,8 +188,6 @@ def _get_committed_table( ) if not batches: return None - logger.debug("_get_committed_table: peeking schema for extension type registration") - register_discovered_extensions(self._logical_type_registry, batches[0].schema) return pa.Table.from_batches(batches) # ── Write methods ───────────────────────────────────────────────────────── diff --git a/src/orcapod/databases/delta_lake_databases.py b/src/orcapod/databases/delta_lake_databases.py index 0a11c7da..abb597ee 100644 --- a/src/orcapod/databases/delta_lake_databases.py +++ b/src/orcapod/databases/delta_lake_databases.py @@ -8,8 +8,6 @@ from orcapod.databases.utils import coerce_record_id from orcapod.databases.storage_utils import is_cloud_uri, parse_base_path -from orcapod.extension_types.database_hooks import register_discovered_extensions -from orcapod.extension_types.registry import LogicalTypeRegistry from orcapod.utils import arrow_utils from orcapod.utils.lazy_module import LazyModule @@ -54,14 +52,12 @@ def __init__( batch_size: int = 1000, max_hierarchy_depth: int = 10, allow_schema_evolution: bool = True, - logical_type_registry: LogicalTypeRegistry | None = None, _path_prefix: tuple[str, ...] = (), _root: "DeltaTableDatabase | None" = None, _scoped_path: tuple[str, ...] = (), _shared_pending_batches: "dict[str, pa.Table] | None" = None, _shared_pending_record_ids: "defaultdict[str, set[bytes]] | None" = None, ): - self._logical_type_registry = logical_type_registry self._root_uri, self._storage_options = parse_base_path(base_path, storage_options) self._is_cloud: bool = is_cloud_uri(self._root_uri) self._path_prefix = _path_prefix @@ -838,8 +834,6 @@ def _read_delta_table( filter_expr = None # Use to_pyarrow_dataset with as_large_types for Polars compatible arrow table loading dataset = delta_table.to_pyarrow_dataset(as_large_types=True) - logger.debug("_read_delta_table: peeking schema for extension type registration") - register_discovered_extensions(self._logical_type_registry, dataset.schema) if filters and expression is None: for filt in filters: if len(filt) == 3: diff --git a/src/orcapod/databases/extension_aware_database.py b/src/orcapod/databases/extension_aware_database.py new file mode 100644 index 00000000..e7b0bddc --- /dev/null +++ b/src/orcapod/databases/extension_aware_database.py @@ -0,0 +1,189 @@ +"""ExtensionAwareDatabase — ArrowDatabaseProtocol wrapper that handles extension type registration. + +Wraps any ``ArrowDatabaseProtocol`` backend and transparently applies the +register → cast pattern on every read result: + +1. Call ``register_discovered_extensions(registry, table.schema)`` to ensure + all Arrow extension types found in the returned table's field metadata are + registered with *registry*. +2. Call ``apply_extension_types(table, registry)`` to re-wrap columns that + were loaded as plain storage types into their correct extension types. + This operation is zero-copy (``pa.ExtensionArray.from_storage`` per chunk). + +Write operations pass through to the underlying database unchanged. + +Example:: + + db = DeltaTableDatabase("/path/to/store") + ext_db = ExtensionAwareDatabase(db, registry=data_context.logical_type_registry) + table = ext_db.get_all_records(("results", "my_fn")) + # table columns have proper extension types applied +""" +from __future__ import annotations + +import logging +from collections.abc import Collection, Mapping +from typing import TYPE_CHECKING, Any + +from orcapod.extension_types.database_hooks import ( + apply_extension_types, + register_discovered_extensions, +) +from orcapod.extension_types.registry import LogicalTypeRegistry +from orcapod.protocols.database_protocols import ArrowDatabaseProtocol + +if TYPE_CHECKING: + import pyarrow as pa + +logger = logging.getLogger(__name__) + + +class ExtensionAwareDatabase: + """``ArrowDatabaseProtocol`` wrapper that auto-registers and applies extension types. + + All read methods delegate to the wrapped *db*, then: + + 1. Walk the returned table's schema to find any extension types (from + preserved ``ARROW:extension:*`` field metadata). + 2. Register any newly discovered types with *registry* via + ``register_discovered_extensions``. + 3. Re-wrap columns that were loaded as plain storage types into their + correct Arrow extension types via ``apply_extension_types`` (zero-copy). + + Write methods and ``flush`` delegate directly without modification. + + Args: + db: Any ``ArrowDatabaseProtocol`` backend. + registry: The ``LogicalTypeRegistry`` to use for registration and lookup. + Callers are responsible for supplying the right registry (e.g. + ``data_context.logical_type_registry``). + """ + + def __init__( + self, + db: ArrowDatabaseProtocol, + registry: LogicalTypeRegistry, + ) -> None: + self._db = db + self._registry = registry + + # ── Internal helper ─────────────────────────────────────────────────────── + + def _process(self, table: pa.Table | None) -> pa.Table | None: + """Register extension types and re-wrap columns, or return None unchanged.""" + if table is None: + return None + register_discovered_extensions(self._registry, table.schema) + return apply_extension_types(table, self._registry) + + # ── Read methods ────────────────────────────────────────────────────────── + + def get_record_by_id( + self, + record_path: tuple[str, ...], + record_id: bytes, + record_id_column: str | None = None, + flush: bool = False, + ) -> pa.Table | None: + return self._process( + self._db.get_record_by_id( + record_path, + record_id, + record_id_column=record_id_column, + flush=flush, + ) + ) + + def get_all_records( + self, + record_path: tuple[str, ...], + record_id_column: str | None = None, + ) -> pa.Table | None: + return self._process( + self._db.get_all_records(record_path, record_id_column=record_id_column) + ) + + def get_records_by_ids( + self, + record_path: tuple[str, ...], + record_ids: Collection[bytes], + record_id_column: str | None = None, + flush: bool = False, + ) -> pa.Table | None: + return self._process( + self._db.get_records_by_ids( + record_path, + record_ids, + record_id_column=record_id_column, + flush=flush, + ) + ) + + def get_records_with_column_value( + self, + record_path: tuple[str, ...], + column_values: Collection[tuple[str, Any]] | Mapping[str, Any], + record_id_column: str | None = None, + flush: bool = False, + ) -> pa.Table | None: + return self._process( + self._db.get_records_with_column_value( + record_path, + column_values, + record_id_column=record_id_column, + flush=flush, + ) + ) + + # ── Write methods (pass-through) ────────────────────────────────────────── + + def add_record( + self, + record_path: tuple[str, ...], + record_id: bytes, + record: pa.Table, + skip_duplicates: bool = False, + flush: bool = False, + ) -> None: + self._db.add_record( + record_path, + record_id, + record, + skip_duplicates=skip_duplicates, + flush=flush, + ) + + def add_records( + self, + record_path: tuple[str, ...], + records: pa.Table, + record_id_column: str | None = None, + skip_duplicates: bool = False, + flush: bool = False, + ) -> None: + self._db.add_records( + record_path, + records, + record_id_column=record_id_column, + skip_duplicates=skip_duplicates, + flush=flush, + ) + + def flush(self) -> None: + self._db.flush() + + # ── Structural delegation ───────────────────────────────────────────────── + + @property + def base_path(self) -> tuple[str, ...]: + return self._db.base_path + + def at(self, *path_components: str) -> ExtensionAwareDatabase: + """Return a scoped view, preserving the extension-aware wrapper.""" + return ExtensionAwareDatabase( + self._db.at(*path_components), + registry=self._registry, + ) + + def to_config(self) -> dict[str, Any]: + return self._db.to_config() diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index 6362af0b..8447405e 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -16,7 +16,7 @@ from .protocols import LogicalTypeProtocol, LogicalTypeFactoryProtocol from .registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema -from .database_hooks import register_discovered_extensions +from .database_hooks import apply_extension_types, register_discovered_extensions __all__ = [ "LogicalTypeProtocol", @@ -30,4 +30,5 @@ "walk_field", # PLT-1655 "register_discovered_extensions", + "apply_extension_types", ] diff --git a/src/orcapod/extension_types/database_hooks.py b/src/orcapod/extension_types/database_hooks.py index 3c449c3a..21bef44f 100644 --- a/src/orcapod/extension_types/database_hooks.py +++ b/src/orcapod/extension_types/database_hooks.py @@ -1,8 +1,22 @@ -"""Schema-walking hook for extension type auto-registration. +"""Schema-walking utilities for extension type auto-registration and post-load casting. -Call ``register_discovered_extensions(registry, schema)`` on any Arrow schema -that may contain extension types. It is a no-op when the schema contains no -extension types or when *registry* is ``None``. +Two entry points: + +``register_discovered_extensions(registry, schema)`` + Walk an Arrow schema and register any extension types not yet known to + *registry*. No-op when *registry* is ``None`` or the schema has no + extension types. + +``apply_extension_types(table, registry)`` + Re-wrap columns of *table* that carry ``ARROW:extension:*`` field metadata + into their registered extension types. Operates per-chunk so no data is + copied — each chunk is wrapped with ``pa.ExtensionArray.from_storage()``. + Nested struct fields are reconstructed recursively. + +These two functions are typically called in sequence: + + register_discovered_extensions(registry, table.schema) + table = apply_extension_types(table, registry) """ from __future__ import annotations @@ -64,3 +78,144 @@ def register_discovered_extensions( info.extension_metadata, info.storage_type, ) + + +def apply_extension_types( + table: pa.Table, + registry: LogicalTypeRegistry, +) -> pa.Table: + """Re-wrap *table* columns into their registered Arrow extension types. + + Arrow preserves ``ARROW:extension:name`` / ``ARROW:extension:metadata`` + field metadata even when an extension type was not registered at read + time, in which case the column is stored as a plain storage type (e.g. + ``large_utf8``). Once the extension type has been registered (via + ``register_discovered_extensions``), this function reconstructs the + correct extension-typed columns using ``pa.ExtensionArray.from_storage``. + + The operation is zero-copy per chunk: each chunk in a ``ChunkedArray`` + is individually wrapped without rechunking or data movement. Struct + columns are handled recursively so nested extension type fields are also + reconstructed. + + Columns whose field has no ``ARROW:extension:name`` metadata (plain Arrow + types) are left untouched. + + Args: + table: Arrow table whose columns may contain extension type metadata + but were loaded as storage types. + registry: Registry that holds the registered ``LogicalTypeProtocol`` + instances. Must already contain every extension type referenced + by ``table.schema`` — call ``register_discovered_extensions`` + first. + + Returns: + A new ``pa.Table`` with extension-typed columns re-wrapped. Columns + with no extension type metadata are shared with *table* unchanged. + """ + import pyarrow as pa + + new_columns: list[pa.ChunkedArray] = [] + new_fields: list[pa.Field] = [] + changed = False + + for i, field in enumerate(table.schema): + col = table.column(i) + new_col, new_field = _apply_field(col, field, registry) + new_columns.append(new_col) + new_fields.append(new_field) + if new_field is not field: + changed = True + + if not changed: + return table + + new_schema = pa.schema(new_fields) + return pa.table(dict(zip(new_schema.names, new_columns)), schema=new_schema) + + +def _apply_field( + col: pa.ChunkedArray, + field: pa.Field, + registry: LogicalTypeRegistry, +) -> tuple[pa.ChunkedArray, pa.Field]: + """Return *(new_col, new_field)* with extension type applied if needed. + + Handles three cases: + - Field already has an extension type → return as-is. + - Field has extension metadata and a registered type → wrap per-chunk. + - Field is a struct with extension-typed children → recurse. + """ + import pyarrow as pa + + field_meta = field.metadata or {} + ext_name_bytes = field_meta.get(b"ARROW:extension:name") + + # ── Case 1: field is already an extension type (registered at read time) ── + if hasattr(field.type, "extension_name"): + return col, field + + # ── Case 2: field has extension metadata and a matching registered type ─── + if ext_name_bytes is not None: + ext_name = ext_name_bytes.decode("utf-8") + lt = registry.get_by_arrow_extension_name(ext_name) + if lt is not None: + ext_type = lt.get_arrow_extension_type() + wrapped_chunks = [ + pa.ExtensionArray.from_storage(ext_type, chunk) + for chunk in col.chunks + ] + new_col = pa.chunked_array(wrapped_chunks, type=ext_type) + new_field = field.with_type(ext_type) + logger.debug("apply_extension_types: wrapped column %r as %r", field.name, ext_name) + return new_col, new_field + + # ── Case 3: struct — recurse into children ──────────────────────────────── + if pa.types.is_struct(field.type): + new_col, new_field = _apply_struct_field(col, field, registry) + return new_col, new_field + + return col, field + + +def _apply_struct_field( + col: pa.ChunkedArray, + field: pa.Field, + registry: LogicalTypeRegistry, +) -> tuple[pa.ChunkedArray, pa.Field]: + """Recursively apply extension types to children of a struct column.""" + import pyarrow as pa + + struct_type = field.type + child_names = [struct_type.field(i).name for i in range(struct_type.num_fields)] + child_fields = [struct_type.field(i) for i in range(struct_type.num_fields)] + + # Process each chunk: rebuild StructArray with re-wrapped children. + new_chunks: list[pa.StructArray] = [] + new_child_fields: list[pa.Field] | None = None + + for chunk in col.chunks: + new_child_arrays: list[pa.Array] = [] + resolved_fields: list[pa.Field] = [] + + for child_field in child_fields: + child_arr = chunk.field(child_field.name) + # Wrap child array into a single-chunk ChunkedArray for _apply_field. + child_chunked = pa.chunked_array([child_arr], type=child_arr.type) + new_child_chunked, new_child_field = _apply_field( + child_chunked, child_field, registry + ) + # from_storage produces a non-chunked Array; use combine_chunks for single chunk. + new_child_arrays.append(new_child_chunked.combine_chunks()) + resolved_fields.append(new_child_field) + + new_struct = pa.StructArray.from_arrays(new_child_arrays, fields=resolved_fields) + new_chunks.append(new_struct) + if new_child_fields is None: + new_child_fields = resolved_fields + + assert new_child_fields is not None # col.chunks is non-empty if we reach here + new_struct_type = pa.struct(new_child_fields) + new_field = field.with_type(new_struct_type) + new_col = pa.chunked_array(new_chunks, type=new_struct_type) + return new_col, new_field diff --git a/tests/test_databases/test_extension_aware_database.py b/tests/test_databases/test_extension_aware_database.py new file mode 100644 index 00000000..1cbb8cf1 --- /dev/null +++ b/tests/test_databases/test_extension_aware_database.py @@ -0,0 +1,187 @@ +"""Tests for ExtensionAwareDatabase.""" + +from __future__ import annotations + +import uuid + +import pyarrow as pa +import pytest + +from orcapod.databases.extension_aware_database import ExtensionAwareDatabase +from orcapod.databases.in_memory_databases import InMemoryArrowDatabase +from orcapod.extension_types.registry import LogicalTypeRegistry, make_arrow_extension_type + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- + +def _unique_name() -> str: + return f"test.eadb.{uuid.uuid4().hex[:8]}" + + +def _make_registry_with_type( + arrow_name: str, + storage: pa.DataType = pa.large_utf8(), +): + """Return a (registry, ext_type_instance) pair with one registered type.""" + import polars as pl + + ExtCls = make_arrow_extension_type(arrow_name, storage) + ext_type = ExtCls() + pl_storage = pl.from_arrow(pa.array([], type=storage)).dtype + + class _PolarsExt(pl.BaseExtension): + def __init__(self): + super().__init__(arrow_name, pl_storage, None) + @classmethod + def ext_from_params(cls, ext_name, storage_dtype, metadata_str): + return cls() + + class _LT: + @property + def logical_type_name(self): + return arrow_name + @property + def python_type(self): + return str + def get_arrow_extension_type(self): + return ext_type + def get_polars_extension_type(self): + return _PolarsExt() + def python_to_storage(self, v): + return str(v) + def storage_to_python(self, v): + return v + + registry = LogicalTypeRegistry() + registry.register_logical_type(_LT()) + return registry, ext_type + + +def _degraded_table(arrow_name: str, storage: pa.DataType, values: list) -> pa.Table: + """Arrow table with extension field metadata but storage type (simulates unregistered read).""" + col = pa.array(values, type=storage) + field = pa.field("col", storage).with_metadata({ + b"ARROW:extension:name": arrow_name.encode(), + b"ARROW:extension:metadata": b"", + }) + return pa.table({"col": col}, schema=pa.schema([field])) + + +# --------------------------------------------------------------------------- +# Tests +# --------------------------------------------------------------------------- + +def test_get_all_records_applies_extension_types(): + """get_all_records returns table with extension types applied.""" + name = _unique_name() + registry, ext_type = _make_registry_with_type(name) + + inner_db = InMemoryArrowDatabase() + # Add two separate records (distinct record_ids) so both rows survive deduplication. + r1 = _degraded_table(name, pa.large_utf8(), ["hello"]) + r2 = _degraded_table(name, pa.large_utf8(), ["world"]) + inner_db.add_record(("test",), record_id=b"r1", record=r1, flush=False) + inner_db.add_record(("test",), record_id=b"r2", record=r2, flush=True) + + db = ExtensionAwareDatabase(inner_db, registry) + result = db.get_all_records(("test",)) + + assert result is not None + assert result.schema.field("col").type == ext_type + assert sorted(result.column("col").to_pylist()) == ["hello", "world"] + + +def test_get_record_by_id_applies_extension_types(): + """get_record_by_id returns table with extension types applied.""" + name = _unique_name() + registry, ext_type = _make_registry_with_type(name) + + inner_db = InMemoryArrowDatabase() + degraded = _degraded_table(name, pa.large_utf8(), ["x"]) + inner_db.add_record(("p",), record_id=b"r1", record=degraded, flush=True) + + db = ExtensionAwareDatabase(inner_db, registry) + result = db.get_record_by_id(("p",), b"r1") + + assert result is not None + assert result.schema.field("col").type == ext_type + + +def test_get_records_by_ids_applies_extension_types(): + """get_records_by_ids returns table with extension types applied.""" + name = _unique_name() + registry, ext_type = _make_registry_with_type(name) + + inner_db = InMemoryArrowDatabase() + degraded = _degraded_table(name, pa.large_utf8(), ["a"]) + inner_db.add_record(("p",), record_id=b"r1", record=degraded, flush=True) + + db = ExtensionAwareDatabase(inner_db, registry) + result = db.get_records_by_ids(("p",), [b"r1"]) + + assert result is not None + assert result.schema.field("col").type == ext_type + + +def test_get_all_records_returns_none_when_no_records(): + """Returns None when the underlying database has no records for the path.""" + registry = LogicalTypeRegistry() + inner_db = InMemoryArrowDatabase() + db = ExtensionAwareDatabase(inner_db, registry) + + assert db.get_all_records(("nonexistent",)) is None + + +def test_write_methods_passthrough(): + """add_record and add_records write correctly through the wrapper.""" + registry = LogicalTypeRegistry() + inner_db = InMemoryArrowDatabase() + db = ExtensionAwareDatabase(inner_db, registry) + + t1 = pa.table({"x": pa.array([1], type=pa.int32())}) + t2 = pa.table({"x": pa.array([2], type=pa.int32())}) + db.add_record(("p",), record_id=b"r1", record=t1, flush=False) + db.add_record(("p",), record_id=b"r2", record=t2, flush=True) + + result = inner_db.get_all_records(("p",)) + assert result is not None + assert sorted(result.column("x").to_pylist()) == [1, 2] + + +def test_at_returns_extension_aware_database(): + """at() returns an ExtensionAwareDatabase with the same registry.""" + registry = LogicalTypeRegistry() + inner_db = InMemoryArrowDatabase() + db = ExtensionAwareDatabase(inner_db, registry) + + scoped = db.at("sub", "path") + + assert isinstance(scoped, ExtensionAwareDatabase) + assert scoped._registry is registry + assert scoped.base_path == ("sub", "path") + + +def test_base_path_delegates_to_inner(): + """base_path reflects the inner database's base_path.""" + registry = LogicalTypeRegistry() + inner_db = InMemoryArrowDatabase() + db = ExtensionAwareDatabase(inner_db, registry) + + assert db.base_path == () + assert db.at("a").base_path == ("a",) + + +def test_plain_table_passthrough_unchanged(): + """Tables with no extension type metadata are returned as-is (no wrapping overhead).""" + registry = LogicalTypeRegistry() + inner_db = InMemoryArrowDatabase() + db = ExtensionAwareDatabase(inner_db, registry) + + table = pa.table({"n": pa.array([10, 20], type=pa.int64())}) + inner_db.add_record(("p",), record_id=b"r1", record=table, flush=True) + + result = db.get_all_records(("p",)) + assert result is not None + assert result.schema.field("n").type == pa.int64() diff --git a/tests/test_extension_types/test_apply_extension_types.py b/tests/test_extension_types/test_apply_extension_types.py new file mode 100644 index 00000000..357d4b26 --- /dev/null +++ b/tests/test_extension_types/test_apply_extension_types.py @@ -0,0 +1,228 @@ +"""Tests for apply_extension_types in database_hooks.""" + +from __future__ import annotations + +import uuid + +import pyarrow as pa +import pytest + +from orcapod.extension_types.registry import LogicalTypeRegistry, make_arrow_extension_type + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- + +def _unique_name() -> str: + return f"test.apply.{uuid.uuid4().hex[:8]}" + + +def _make_registry_with_type( + arrow_name: str, + storage: pa.DataType = pa.large_utf8(), +) -> tuple[LogicalTypeRegistry, pa.ExtensionType]: + """Return a registry with one registered extension type and the type instance.""" + import polars as pl + + ExtCls = make_arrow_extension_type(arrow_name, storage) + ext_type = ExtCls() + pl_storage = pl.from_arrow(pa.array([], type=storage)).dtype + + class _PolarsExt(pl.BaseExtension): + def __init__(self): + super().__init__(arrow_name, pl_storage, None) + @classmethod + def ext_from_params(cls, ext_name, storage_dtype, metadata_str): + return cls() + + class _LT: + @property + def logical_type_name(self): + return arrow_name + @property + def python_type(self): + return str + def get_arrow_extension_type(self): + return ext_type + def get_polars_extension_type(self): + return _PolarsExt() + def python_to_storage(self, v): + return str(v) + def storage_to_python(self, v): + return v + + registry = LogicalTypeRegistry() + registry.register_logical_type(_LT()) + return registry, ext_type + + +def _degraded_table_with_metadata( + arrow_name: str, + storage: pa.DataType, + values: list, +) -> pa.Table: + """Build a table that carries extension field metadata but uses storage type. + + Simulates what you get when Arrow reads a Parquet/IPC file whose extension + type was not registered at read time. + """ + col = pa.array(values, type=storage) + field = pa.field("col", storage).with_metadata({ + b"ARROW:extension:name": arrow_name.encode(), + b"ARROW:extension:metadata": b"", + }) + schema = pa.schema([field]) + return pa.table({"col": col}, schema=schema) + + +# --------------------------------------------------------------------------- +# Tests +# --------------------------------------------------------------------------- + +def test_noop_when_no_extension_metadata(): + """Table with plain Arrow types is returned unchanged.""" + from orcapod.extension_types.database_hooks import apply_extension_types + + registry = LogicalTypeRegistry() + table = pa.table({"x": pa.array([1, 2, 3], type=pa.int32())}) + result = apply_extension_types(table, registry) + assert result is table # same object — nothing to do + + +def test_wraps_storage_column_into_extension_type(): + """A column with extension field metadata is re-wrapped into the registered type.""" + from orcapod.extension_types.database_hooks import apply_extension_types + + name = _unique_name() + registry, ext_type = _make_registry_with_type(name, pa.large_utf8()) + table = _degraded_table_with_metadata(name, pa.large_utf8(), ["hello", "world"]) + + result = apply_extension_types(table, registry) + + assert result.schema.field("col").type == ext_type + assert result.column("col").to_pylist() == ["hello", "world"] + + +def test_zero_copy_single_chunk(): + """from_storage wrapping shares the underlying buffer — no data copy.""" + from orcapod.extension_types.database_hooks import apply_extension_types + + name = _unique_name() + registry, _ = _make_registry_with_type(name, pa.large_utf8()) + table = _degraded_table_with_metadata(name, pa.large_utf8(), ["a", "b"]) + + result = apply_extension_types(table, registry) + + orig_buf = table.column("col").chunk(0).buffers()[2] + new_buf = result.column("col").chunk(0).buffers()[2] + assert orig_buf == new_buf + + +def test_zero_copy_multiple_chunks(): + """Multi-chunk columns are wrapped per-chunk, all buffers shared.""" + from orcapod.extension_types.database_hooks import apply_extension_types + + name = _unique_name() + registry, ext_type = _make_registry_with_type(name, pa.large_utf8()) + + # Build a multi-chunk ChunkedArray with extension metadata on the field + c1 = pa.array(["x"], type=pa.large_utf8()) + c2 = pa.array(["y", "z"], type=pa.large_utf8()) + chunked = pa.chunked_array([c1, c2], type=pa.large_utf8()) + field = pa.field("col", pa.large_utf8()).with_metadata({ + b"ARROW:extension:name": name.encode(), + b"ARROW:extension:metadata": b"", + }) + schema = pa.schema([field]) + table = pa.table({"col": chunked}, schema=schema) + + result = apply_extension_types(table, registry) + result_col = result.column("col") + + assert result.schema.field("col").type == ext_type + assert result_col.num_chunks == 2 + assert result_col.to_pylist() == ["x", "y", "z"] + # Buffer identity per chunk + for i, (orig, wrapped) in enumerate(zip(chunked.chunks, result_col.chunks)): + assert orig.buffers()[2] == wrapped.buffers()[2], f"chunk {i} buffer differs" + + +def test_already_extension_type_passthrough(): + """Column already carrying an extension type is returned as-is.""" + from orcapod.extension_types.database_hooks import apply_extension_types + + name = _unique_name() + registry, ext_type = _make_registry_with_type(name, pa.large_utf8()) + # Build a table with a properly typed extension column (already registered) + arr = pa.ExtensionArray.from_storage(ext_type, pa.array(["a"], type=pa.large_utf8())) + table = pa.table({"col": arr}) + + result = apply_extension_types(table, registry) + assert result is table + + +def test_unregistered_extension_metadata_left_as_storage(): + """A column whose extension type is not in the registry stays as storage type.""" + from orcapod.extension_types.database_hooks import apply_extension_types + + name = _unique_name() + registry = LogicalTypeRegistry() # no types registered + table = _degraded_table_with_metadata(name, pa.large_utf8(), ["v"]) + + result = apply_extension_types(table, registry) + + # Column stays as large_utf8 — registry has nothing to apply + assert result.schema.field("col").type == pa.large_utf8() + + +def test_nested_struct_extension_type(): + """Extension type inside a struct child field is reconstructed recursively.""" + from orcapod.extension_types.database_hooks import apply_extension_types + + name = _unique_name() + registry, ext_type = _make_registry_with_type(name, pa.large_utf8()) + + # Build degraded struct: inner field has extension metadata but storage type + inner_field = pa.field("inner", pa.large_utf8()).with_metadata({ + b"ARROW:extension:name": name.encode(), + b"ARROW:extension:metadata": b"", + }) + struct_type = pa.struct([inner_field]) + inner_data = pa.array(["p", "q"], type=pa.large_utf8()) + struct_col = pa.StructArray.from_arrays([inner_data], fields=[inner_field]) + schema = pa.schema([pa.field("s", struct_type)]) + table = pa.table({"s": struct_col}, schema=schema) + + result = apply_extension_types(table, registry) + + result_struct_type = result.schema.field("s").type + assert pa.types.is_struct(result_struct_type) + result_inner_field = result_struct_type.field("inner") + assert result_inner_field.type == ext_type + assert result.column("s").to_pylist() == [{"inner": "p"}, {"inner": "q"}] + + +def test_mixed_columns_only_ext_columns_changed(): + """Plain columns are left untouched when an extension column is processed.""" + from orcapod.extension_types.database_hooks import apply_extension_types + + name = _unique_name() + registry, ext_type = _make_registry_with_type(name, pa.large_utf8()) + + ext_field = pa.field("ext_col", pa.large_utf8()).with_metadata({ + b"ARROW:extension:name": name.encode(), + b"ARROW:extension:metadata": b"", + }) + plain_field = pa.field("plain_col", pa.int32()) + schema = pa.schema([ext_field, plain_field]) + table = pa.table( + {"ext_col": pa.array(["a"], type=pa.large_utf8()), "plain_col": pa.array([1], type=pa.int32())}, + schema=schema, + ) + + result = apply_extension_types(table, registry) + + assert result.schema.field("ext_col").type == ext_type + assert result.schema.field("plain_col").type == pa.int32() + assert result.column("plain_col").to_pylist() == [1] From 75d6d219ba807b4135b27287adb7feb270f38ced Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 03:00:33 +0000 Subject: [PATCH 074/206] =?UTF-8?q?fix(extension=5Ftypes):=20address=20Cop?= =?UTF-8?q?ilot=20review=20=E2=80=94=20preserve=20metadata,=20nulls,=20ski?= =?UTF-8?q?p=20plain=20structs?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - apply_extension_types: preserve schema-level metadata (e.g. pandas) when rebuilding the schema with pa.schema(new_fields, metadata=...) so existing table-level metadata is not silently dropped on extension-type wrapping - _apply_struct_field: pass mask=chunk.is_null() to StructArray.from_arrays() when null_count > 0 so struct-level null rows survive the re-wrapping step - _apply_field: add _has_nested_extension_fields() guard before recursing into struct children — structs with no extension metadata at any depth are returned as-is, avoiding unnecessary array rebuilds in the common case - connector_arrow_database / extension_aware_database: remove dead logger variable and import (module-level logger was defined but never called) - registry.make_arrow_extension_type: update docstring to use LogicalTypeFactoryProtocol / LogicalTypeProtocol (new public names) - superpowers spec: rewrite to reflect actual shipped API — register_discovered_ extensions / apply_extension_types / ExtensionAwareDatabase wrapper instead of the original direct-hook-in-DB-classes design Tests: add test_schema_level_metadata_preserved, test_plain_struct_not_rebuilt, test_struct_null_bitmap_preserved Co-Authored-By: Claude Sonnet 4.6 --- .../databases/connector_arrow_database.py | 3 - .../databases/extension_aware_database.py | 3 - src/orcapod/extension_types/database_hooks.py | 35 +- src/orcapod/extension_types/registry.py | 9 +- ...26-06-14-plt-1655-database-hooks-design.md | 447 ++++++++---------- .../test_apply_extension_types.py | 72 +++ 6 files changed, 293 insertions(+), 276 deletions(-) diff --git a/src/orcapod/databases/connector_arrow_database.py b/src/orcapod/databases/connector_arrow_database.py index 4ebe492b..ab6928ed 100644 --- a/src/orcapod/databases/connector_arrow_database.py +++ b/src/orcapod/databases/connector_arrow_database.py @@ -17,7 +17,6 @@ """ from __future__ import annotations -import logging import re from collections import defaultdict from collections.abc import Collection, Mapping @@ -27,8 +26,6 @@ from orcapod.protocols.db_connector_protocol import ColumnInfo, DBConnectorProtocol from orcapod.utils.lazy_module import LazyModule -logger = logging.getLogger(__name__) - if TYPE_CHECKING: import pyarrow as pa import pyarrow.compute as pc diff --git a/src/orcapod/databases/extension_aware_database.py b/src/orcapod/databases/extension_aware_database.py index e7b0bddc..a3c19ce0 100644 --- a/src/orcapod/databases/extension_aware_database.py +++ b/src/orcapod/databases/extension_aware_database.py @@ -21,7 +21,6 @@ """ from __future__ import annotations -import logging from collections.abc import Collection, Mapping from typing import TYPE_CHECKING, Any @@ -35,8 +34,6 @@ if TYPE_CHECKING: import pyarrow as pa -logger = logging.getLogger(__name__) - class ExtensionAwareDatabase: """``ArrowDatabaseProtocol`` wrapper that auto-registers and applies extension types. diff --git a/src/orcapod/extension_types/database_hooks.py b/src/orcapod/extension_types/database_hooks.py index 21bef44f..b18ff743 100644 --- a/src/orcapod/extension_types/database_hooks.py +++ b/src/orcapod/extension_types/database_hooks.py @@ -130,7 +130,8 @@ def apply_extension_types( if not changed: return table - new_schema = pa.schema(new_fields) + # Preserve any schema-level metadata (e.g. pandas metadata) from the original. + new_schema = pa.schema(new_fields, metadata=table.schema.metadata) return pa.table(dict(zip(new_schema.names, new_columns)), schema=new_schema) @@ -170,14 +171,32 @@ def _apply_field( logger.debug("apply_extension_types: wrapped column %r as %r", field.name, ext_name) return new_col, new_field - # ── Case 3: struct — recurse into children ──────────────────────────────── + # ── Case 3: struct — recurse only if children carry extension metadata ────── if pa.types.is_struct(field.type): - new_col, new_field = _apply_struct_field(col, field, registry) - return new_col, new_field + if _has_nested_extension_fields(field.type): + return _apply_struct_field(col, field, registry) return col, field +def _has_nested_extension_fields(arrow_type: pa.DataType) -> bool: + """Return True if any child field at any nesting depth carries extension metadata. + + Used to guard struct recursion: structs whose children carry no + ``ARROW:extension:name`` metadata are returned as-is without rebuilding. + """ + import pyarrow as pa + + for i in range(arrow_type.num_fields): + child = arrow_type.field(i) + meta = child.metadata or {} + if b"ARROW:extension:name" in meta: + return True + if pa.types.is_struct(child.type) and _has_nested_extension_fields(child.type): + return True + return False + + def _apply_struct_field( col: pa.ChunkedArray, field: pa.Field, @@ -187,7 +206,6 @@ def _apply_struct_field( import pyarrow as pa struct_type = field.type - child_names = [struct_type.field(i).name for i in range(struct_type.num_fields)] child_fields = [struct_type.field(i) for i in range(struct_type.num_fields)] # Process each chunk: rebuild StructArray with re-wrapped children. @@ -209,7 +227,12 @@ def _apply_struct_field( new_child_arrays.append(new_child_chunked.combine_chunks()) resolved_fields.append(new_child_field) - new_struct = pa.StructArray.from_arrays(new_child_arrays, fields=resolved_fields) + # Preserve the original null bitmap so struct-level nulls survive wrapping. + # StructArray.from_arrays() defaults to all-valid without an explicit mask. + null_mask = chunk.is_null() if chunk.null_count > 0 else None + new_struct = pa.StructArray.from_arrays( + new_child_arrays, fields=resolved_fields, mask=null_mask + ) new_chunks.append(new_struct) if new_child_fields is None: new_child_fields = resolved_fields diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index a1b25b93..d35d1189 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -56,13 +56,14 @@ def make_arrow_extension_type( metadata: Optional bytes stored as ``ARROW:extension:metadata``. Defaults to ``None`` (serialised as empty bytes). - ``metadata`` can optionally encode a **LogicalType category** as a + ``metadata`` can optionally encode a **LogicalTypeProtocol category** as a UTF-8 JSON object with at least a ``"category"`` key (e.g. ``b'{"category": "Dataclass"}'``, ``b'{"category": "Pydantic", "pydantic_version": 2}'``). - A ``LogicalTypeFactory`` (see ``LogicalTypeFactory.create_logical_type``) - dispatches on the ``"category"`` value when reading schemas from IPC or - Parquet files and uses it to auto-generate the correct ``LogicalType`` + A ``LogicalTypeFactoryProtocol`` (see + ``LogicalTypeFactoryProtocol.create_logical_type``) dispatches on the + ``"category"`` value when reading schemas from IPC or Parquet files and + uses it to auto-generate the correct ``LogicalTypeProtocol`` implementation for the specific Python class within that category, without requiring explicit prior registration. diff --git a/superpowers/specs/2026-06-14-plt-1655-database-hooks-design.md b/superpowers/specs/2026-06-14-plt-1655-database-hooks-design.md index f165308b..b4b680a9 100644 --- a/superpowers/specs/2026-06-14-plt-1655-database-hooks-design.md +++ b/superpowers/specs/2026-06-14-plt-1655-database-hooks-design.md @@ -2,46 +2,66 @@ **Date:** 2026-06-14 **Linear issue:** PLT-1655 -**Status:** Approved +**Status:** Implemented + +> **Implementation note (2026-06-15):** During implementation the design was +> refined: rather than wiring hooks directly into `DeltaTableDatabase` and +> `ConnectorArrowDatabase`, a dedicated `ExtensionAwareDatabase` wrapper was +> introduced. Database classes remain pure storage; the wrapper applies +> `register_discovered_extensions` + `apply_extension_types` on every read. +> The table below documents the actual shipped API. --- ## Overview -Wire a single, additive call into the two existing database read methods so that any Arrow -extension types present in a schema are automatically registered in both PyArrow's and -Polars' global registries before data is returned. Repeated reads within the same process -are cheap because already-registered types are detected and skipped by the registry's -three-way binding. +Two complementary utilities in `extension_types/database_hooks.py` handle +extension type awareness at database read time: + +1. **`register_discovered_extensions(registry, schema)`** — walks the schema and + registers any unknown extension types via the registry's factory dispatch. No-op + when `registry` is `None` or the schema contains no extension types. Repeated reads + are cheap: already-registered types are detected and skipped inside the registry. + +2. **`apply_extension_types(table, registry)`** — Arrow preserves + `ARROW:extension:name` / `ARROW:extension:metadata` field metadata even when an + extension type is not registered at read time (columns load as plain storage types). + After registration, this function re-wraps those storage columns into their correct + Arrow extension types using `pa.ExtensionArray.from_storage` per chunk — zero-copy + and no data movement. Struct columns are handled recursively. -The peek helper itself stays deliberately dumb: it walks the schema, then delegates each -found type to the registry. All factory dispatch logic lives in the registry. +Callers use these through the **`ExtensionAwareDatabase`** wrapper, which applies +both steps on every read result automatically. --- ## Goals & Success Criteria -* `ensure_extensions_registered(schema)` in `extension_types/database_hooks.py` is - called before every table return in `DeltaTableDatabase._read_delta_table()` and - `ConnectorArrowDatabase._get_committed_table()`. -* When the schema contains no extension types the call is a no-op; existing tests +* `register_discovered_extensions(registry, schema)` in + `extension_types/database_hooks.py` correctly discovers all extension type fields + at any nesting depth and delegates registration to the registry. +* `apply_extension_types(table, registry)` correctly re-wraps storage columns into + extension types per-chunk without data copies; preserves schema-level metadata; + handles struct columns recursively; skips structs with no extension children. +* When the schema contains no extension types both calls are no-ops; existing tests continue to pass unchanged. -* For each extension type found in the schema, `prepare_extension_type` applies checks +* For each extension type found in the schema, `ensure_extension_type` applies checks in this order: - 1. **Already registered** (by Arrow extension name in `default_logical_type_registry`) - → silent no-op. This is the common fast path for all types after first registration, - including built-ins like `arrow.uuid` pre-registered at import time by PLT-1656. - Metadata value is irrelevant — `None` metadata on an already-registered type never - causes an error. + 1. **Already registered** (by Arrow extension name) → silent no-op. This is the + common fast path for all types after first registration. + Metadata value is irrelevant — `None` metadata on an already-registered type + never causes an error. 2. **Not registered, non-`None` metadata, matching factory** → factory constructs a - `LogicalType` and it is registered in PyArrow, Polars, and the registry before the - table is returned. + `LogicalTypeProtocol` and it is registered in PyArrow, Polars, and the registry + before the table is returned. 3. **Not registered, non-`None` metadata, no matching factory** → clear `ValueError` naming the extension name and metadata tag, with a pointer to `register_logical_type_factory`. 4. **Not registered, `None` metadata** → clear `ValueError` explaining that types without a category tag cannot be auto-registered via a factory and must be - pre-registered explicitly via `registry.register(logical_type)`. + pre-registered explicitly via `registry.register_logical_type(logical_type)`. +* `ExtensionAwareDatabase` correctly wraps any `ArrowDatabaseProtocol` backend, + applies both steps on every read, and passes writes through unchanged. * Sufficient `DEBUG`-level logging throughout so that extension type discovery, registration decisions, and factory dispatch are observable without code changes. @@ -51,20 +71,20 @@ found type to the registry. All factory dispatch logic lives in the registry. In scope: * New `src/orcapod/extension_types/database_hooks.py` -* Additive modification of `src/orcapod/databases/delta_lake_databases.py` - (`_read_delta_table`) -* Additive modification of `src/orcapod/databases/connector_arrow_database.py` - (`_get_committed_table`) -* New `LogicalTypeFactory` Protocol in `src/orcapod/extension_types/protocols.py` + — `register_discovered_extensions` and `apply_extension_types` +* New `src/orcapod/databases/extension_aware_database.py` — `ExtensionAwareDatabase` +* New `LogicalTypeFactoryProtocol` Protocol in + `src/orcapod/extension_types/protocols.py` * New methods on `LogicalTypeRegistry` (`registry.py`): - `register_logical_type_factory` and `prepare_extension_type` + `register_logical_type_factory` and `ensure_extension_type` * Additive exports in `src/orcapod/extension_types/__init__.py` * Tests for all new code -Out of scope: -* Implementing concrete `LogicalTypeFactory` instances (PLT-1657 `dataclass_handler`, - PLT-1658 `picklable_handler`) — they will call `register_logical_type_factory` on - the module-level registry instance at import time +Out of scope (database classes are pure storage, unchanged): +* `src/orcapod/databases/delta_lake_databases.py` — no extension type hooks +* `src/orcapod/databases/connector_arrow_database.py` — no extension type hooks +* Implementing concrete `LogicalTypeFactoryProtocol` instances (PLT-1657 + `dataclass_handler`, PLT-1658 `picklable_handler`) * Built-in logical type registrations (PLT-1656) * Thread safety of the global registry dicts (deferred) * Any change to `semantic_types/` (old system, untouched until PLT-1660) @@ -77,29 +97,29 @@ Out of scope: | File | Change | |---|---| -| `src/orcapod/extension_types/protocols.py` | Add `LogicalTypeFactory` Protocol | -| `src/orcapod/extension_types/registry.py` | Add `register_logical_type_factory`, `prepare_extension_type` | -| `src/orcapod/extension_types/database_hooks.py` | **New** — `ensure_extensions_registered` | +| `src/orcapod/extension_types/protocols.py` | Add `LogicalTypeFactoryProtocol` Protocol | +| `src/orcapod/extension_types/registry.py` | Add `register_logical_type_factory`, `ensure_extension_type` | +| `src/orcapod/extension_types/database_hooks.py` | **New** — `register_discovered_extensions`, `apply_extension_types` | | `src/orcapod/extension_types/__init__.py` | Additive exports | -| `src/orcapod/databases/delta_lake_databases.py` | Additive — call in `_read_delta_table` | -| `src/orcapod/databases/connector_arrow_database.py` | Additive — call in `_get_committed_table` | +| `src/orcapod/databases/extension_aware_database.py` | **New** — `ExtensionAwareDatabase` wrapper | | `tests/test_extension_types/test_database_hooks.py` | **New** | +| `tests/test_databases/test_extension_aware_database.py` | **New** | --- -## `LogicalTypeFactory` Protocol +## `LogicalTypeFactoryProtocol` Protocol **Location:** `src/orcapod/extension_types/protocols.py` -`LogicalTypeFactory` is a pure factory. Given an Arrow extension name, its storage type, -and the full parsed metadata dict (both the Arrow fields extracted from the schema by the -walker, and the metadata parsed from JSON), it constructs a fully-formed `LogicalType` -instance ready to pass to `LogicalTypeRegistry.register()`. +`LogicalTypeFactoryProtocol` is a pure factory. Given an Arrow extension name, its +storage type, and the full parsed metadata dict, it constructs a fully-formed +`LogicalTypeProtocol` instance ready to pass to +`LogicalTypeRegistry.register_logical_type()`. The `category` string that routes to this factory is declared by the caller at -registration time — the factory itself has no knowledge of its dispatch key, but receives -the full metadata dict so it can read additional hints (e.g. version, serialisation -format) beyond just the category. +registration time — the factory itself has no knowledge of its dispatch key, but +receives the full metadata dict so it can read additional hints (e.g. version, +serialisation format) beyond just the category. ### Metadata format @@ -112,41 +132,40 @@ format) beyond just the category. {"category": "Pydantic", "pydantic_version": 2} ``` -The `category` value is the factory dispatch key. All other fields are passed through to -the factory as-is and interpreted by the factory implementation. +The `category` value is the factory dispatch key. All other fields are passed through +to the factory as-is and interpreted by the factory implementation. ### Protocol definition ```python -class LogicalTypeFactory(Protocol): +class LogicalTypeFactoryProtocol(Protocol): def create_logical_type( self, arrow_extension_name: str, storage_type: pa.DataType, metadata: dict, - ) -> LogicalType: - """Construct a ``LogicalType`` for the given Arrow extension name and storage type. + ) -> LogicalTypeProtocol: + """Construct a ``LogicalTypeProtocol`` for the given Arrow extension name. Args: arrow_extension_name: The Arrow extension type name extracted from the schema (i.e. the value of ``ARROW:extension:name`` field metadata). storage_type: The underlying Arrow storage type for this extension field. metadata: The full parsed JSON metadata dict. Always contains at least a - ``"category"`` key. May contain additional keys the factory uses (e.g. - ``"protocol"``, ``"pydantic_version"``). + ``"category"`` key. May contain additional keys the factory uses. Returns: - A fully constructed ``LogicalType`` ready to be passed to - ``LogicalTypeRegistry.register()``. + A fully constructed ``LogicalTypeProtocol`` ready to be passed to + ``LogicalTypeRegistry.register_logical_type()``. Raises: ValueError: If this factory cannot construct a logical type for the given - extension name (e.g. the Python class cannot be resolved by name). + extension name. """ ... ``` -This protocol is `@runtime_checkable`, consistent with `LogicalType`. +This protocol is `@runtime_checkable`, consistent with `LogicalTypeProtocol`. --- @@ -154,7 +173,8 @@ This protocol is `@runtime_checkable`, consistent with `LogicalType`. **Location:** `src/orcapod/extension_types/registry.py` -Two new methods are added to `LogicalTypeRegistry`. The existing public API is unchanged. +Two new methods are added to `LogicalTypeRegistry`. The existing public API is +unchanged. ### `register_logical_type_factory` @@ -162,119 +182,53 @@ Two new methods are added to `LogicalTypeRegistry`. The existing public API is u def register_logical_type_factory( self, category: str, - factory: LogicalTypeFactory, + factory: LogicalTypeFactoryProtocol, ) -> None: """Register a factory for the given metadata category string. - When ``prepare_extension_type`` encounters an Arrow extension type whose + When ``ensure_extension_type`` encounters an Arrow extension type whose ``extension_metadata`` JSON contains ``{"category": "", ...}``, it calls ``factory.create_logical_type(arrow_extension_name, storage_type, metadata_dict)`` to construct the logical type and then registers it. Args: - category: The ``"category"`` value from the extension metadata JSON that - identifies this category (e.g. ``"Dataclass"``). - factory: A ``LogicalTypeFactory`` instance responsible for constructing - logical types for this category. + category: The ``"category"`` value from the extension metadata JSON. + factory: A ``LogicalTypeFactoryProtocol`` instance responsible for + constructing logical types for this category. Raises: ValueError: If ``category`` is already registered to a different factory. """ ``` -Stores factories in a new `_factories: dict[str, LogicalTypeFactory]` instance -attribute initialised to `{}` in `__init__`. - -Logging: -* `DEBUG`: `"registered LogicalTypeFactory for category %r: %r"` on success. - -### `prepare_extension_type` +### `ensure_extension_type` ```python -def prepare_extension_type( +def ensure_extension_type( self, arrow_extension_name: str, extension_metadata: bytes | None, storage_type: pa.DataType, ) -> None: """Ensure the Arrow extension type identified by ``arrow_extension_name`` - is registered as a ``LogicalType``. + is registered as a ``LogicalTypeProtocol``. - This is the single entry point called by ``ensure_extensions_registered`` + This is the single entry point called by ``register_discovered_extensions`` in ``database_hooks``. The registry owns all dispatch logic: - 1. If ``arrow_extension_name`` is already in the three-way binding - (``get_by_arrow_extension_name`` returns non-``None``) — return - immediately (per-process cache hit). Metadata is not inspected. - 2. If ``extension_metadata`` is ``None``, raise ``ValueError`` directing - the caller to pre-register the type explicitly. - 3. Attempt to decode ``extension_metadata`` as UTF-8 JSON. If decoding - or parsing fails, raise ``ValueError`` with the raw bytes and the - parse error. - 4. Extract the ``"category"`` key from the parsed dict. If absent, raise - ``ValueError`` naming the extension and the raw metadata. - 5. Look up a ``LogicalTypeFactory`` by the ``category`` string in - ``_factories``. If not found, raise ``ValueError`` naming the extension, - the category, and the registration call needed. - 6. Call ``factory.create_logical_type(arrow_extension_name, storage_type, - metadata_dict)`` to obtain a ``LogicalType``. - 7. Call ``self.register(logical_type)`` to complete the three-way binding - and side-effect-register in PyArrow's and Polars' global registries. - - Args: - arrow_extension_name: Arrow extension type name (``ARROW:extension:name``). - extension_metadata: Raw metadata bytes (``ARROW:extension:metadata``), - expected to be UTF-8 JSON containing at least a ``"category"`` key. - ``None`` if absent. - storage_type: Underlying Arrow storage type for this extension field. - - Raises: - ValueError: If ``extension_metadata`` is ``None``. - ValueError: If ``extension_metadata`` is not valid UTF-8 JSON. - ValueError: If the parsed JSON has no ``"category"`` key. - ValueError: If no factory is registered for the ``"category"`` value. - ValueError: Propagated from the factory if it cannot construct a type. + 1. Already registered → return immediately (per-process cache hit). + 2. ``extension_metadata`` is ``None`` → ``ValueError``. + 3. Decode metadata as UTF-8 JSON → ``ValueError`` on failure. + 4. Extract ``"category"`` key → ``ValueError`` if absent. + 5. Look up factory by category → ``ValueError`` if not found. + 6. Call factory.create_logical_type(...) → ``LogicalTypeProtocol``. + 7. Call self.register_logical_type(logical_type). """ ``` -Logging: -* `DEBUG`: `"prepare_extension_type: %r already registered, skipping"` on cache hit (step 1). -* `DEBUG`: `"prepare_extension_type: %r not registered — dispatching to category %r factory"` before factory call (step 6). -* `DEBUG`: `"prepare_extension_type: successfully registered %r via %r factory"` after `self.register` returns (step 7). - -Error messages: - -**Step 2 — `None` metadata:** -``` -ValueError: Extension type '' has no extension metadata (metadata is None). -Types without a metadata category tag cannot be auto-registered via a factory — -they must be pre-registered explicitly via -default_logical_type_registry.register(logical_type). -``` - -**Step 3 — metadata not valid JSON:** -``` -ValueError: Extension type '' has extension metadata that is not valid UTF-8 JSON: -b''. Parse error: . -Extension metadata must be a JSON object with at least a "category" key, e.g. -{"category": "Dataclass"}. -``` - -**Step 4 — JSON missing `"category"` key:** -``` -ValueError: Extension type '' has extension metadata JSON with no "category" key: -. Extension metadata must be a JSON object with at least a "category" key, -e.g. {"category": "Dataclass"}. -``` - -**Step 5 — no factory for category:** -``` -ValueError: No LogicalTypeFactory is registered for category ''. -Cannot prepare extension type '' for registration. -Register a factory via default_logical_type_registry.register_logical_type_factory( - '', factory -). -``` +Error messages direct callers to use `registry.register_logical_type(logical_type)` or +`registry.register_logical_type_factory(category, factory)` on the registry instance +used for reads — no references to any module-level singleton. --- @@ -282,125 +236,92 @@ Register a factory via default_logical_type_registry.register_logical_type_facto **Location:** `src/orcapod/extension_types/database_hooks.py` -```python -"""Peek-schema hook for extension type auto-registration at database read time. - -Call ``ensure_extensions_registered(schema)`` before returning any Arrow table -from a database read path. It is a no-op when the schema contains no extension -types. -""" +### `register_discovered_extensions` -from __future__ import annotations - -import logging - -import pyarrow as pa - -from orcapod.extension_types import default_logical_type_registry -from orcapod.extension_types.schema_walker import walk_schema - -logger = logging.getLogger(__name__) - - -def ensure_extensions_registered(schema: pa.Schema) -> None: +```python +def register_discovered_extensions( + registry: LogicalTypeRegistry | None, + schema: pa.Schema, +) -> None: """Register any extension types found in ``schema`` that are not yet known. - Walks ``schema`` recursively to discover all Arrow extension types at any - nesting depth. For each discovered type, delegates to - ``default_logical_type_registry.prepare_extension_type``. + Walks ``schema`` recursively; for each discovered type calls + ``registry.ensure_extension_type``. No-op when ``registry`` is ``None`` + or the schema has no extension types. + """ +``` - Already-registered types are detected and skipped inside the registry — - this function itself is stateless. +This function is intentionally stateless and contains no dispatch logic. - Args: - schema: The Arrow schema to inspect. May contain no extension types, - in which case this call is a no-op. +### `apply_extension_types` - Raises: - ValueError: Propagated from the registry if an extension type's category - metadata has no registered factory. +```python +def apply_extension_types( + table: pa.Table, + registry: LogicalTypeRegistry, +) -> pa.Table: + """Re-wrap *table* columns into their registered Arrow extension types. + + Arrow preserves ``ARROW:extension:name`` / ``ARROW:extension:metadata`` + field metadata even when an extension type was not registered at read time. + Once registered, this function reconstructs extension-typed columns from + storage using ``pa.ExtensionArray.from_storage`` per chunk (zero-copy). + Struct columns are handled recursively; structs with no extension children + are skipped entirely. + + Returns the original table unchanged when no columns need re-wrapping. + Schema-level metadata is preserved on the rebuilt table. """ - found = walk_schema(schema) - if not found: - logger.debug("ensure_extensions_registered: no extension types in schema") - return - logger.debug( - "ensure_extensions_registered: found %d extension type(s) in schema: %s", - len(found), - [info.extension_name for info in found], - ) - for info in found: - default_logical_type_registry.prepare_extension_type( - info.extension_name, - info.extension_metadata, - info.storage_type, - ) ``` -This function is intentionally stateless and contains no dispatch logic. - --- -## Database call-site hooks +## `ExtensionAwareDatabase` wrapper -Both modifications are strictly additive — a single new import and a single new call in -each method, no existing logic altered. +**Location:** `src/orcapod/databases/extension_aware_database.py` -### `DeltaTableDatabase._read_delta_table` +```python +class ExtensionAwareDatabase: + """ArrowDatabaseProtocol wrapper that auto-registers and applies extension types. -**Schema peek:** `DeltaTable.schema().to_arrow()` — cheap metadata-only read, no Parquet -data scan. + Takes any ArrowDatabaseProtocol backend and a LogicalTypeRegistry. Every + read result flows through: + 1. register_discovered_extensions(registry, table.schema) + 2. apply_extension_types(table, registry) -The call is placed **immediately after** `dataset = delta_table.to_pyarrow_dataset(...)`, -before the filter-building block. Failing fast before any filter work is done if a -category metadata has no registered factory. + Write methods and structural methods (at, flush, base_path) delegate + directly to the wrapped database without modification. + """ -```python -# Immediately after: dataset = delta_table.to_pyarrow_dataset(as_large_types=True) -schema = delta_table.schema().to_arrow() -ensure_extensions_registered(schema) -# Existing filter-building and table materialisation continue unchanged + def __init__(self, db: ArrowDatabaseProtocol, registry: LogicalTypeRegistry) -> None: ... + def at(self, *path_components: str) -> ExtensionAwareDatabase: ... + # All ArrowDatabaseProtocol read/write methods delegated ``` -Logging (in `delta_lake_databases.py`): -* `DEBUG`: `"_read_delta_table: peeking schema for extension type registration"` before the - peek call. - -### `ConnectorArrowDatabase._get_committed_table` - -**Schema peek:** `batches[0].schema` — schema from the already-fetched first batch. No -additional query needed; no extra round-trip. +Database classes (`DeltaTableDatabase`, `ConnectorArrowDatabase`) remain pure +storage with no extension type awareness. Callers that need extension type handling +wrap their database explicitly: ```python -batches = list(self._connector.iter_batches(f'SELECT * FROM "{table_name}"')) -if not batches: - return None -ensure_extensions_registered(batches[0].schema) -return pa.Table.from_batches(batches) +db = DeltaTableDatabase("/path/to/store") +ext_db = ExtensionAwareDatabase(db, registry=data_context.logical_type_registry) +table = ext_db.get_all_records(("results", "my_fn")) +# table columns have proper extension types applied ``` -Logging (in `connector_arrow_database.py`): -* `DEBUG`: `"_get_committed_table: peeking schema for extension type registration"` before - the peek call. - -> **Design note:** A `LIMIT 0` pre-query was considered to avoid fetching all data before -> knowing whether extension type registration is needed, but was rejected. The existing -> code already fetches all batches in a single pass; adding a second round-trip for a -> schema-only peek would increase latency for the common no-extension-types case. The -> first-batch schema approach adds zero extra queries. - --- ## Per-process cache design The per-process cache is `LogicalTypeRegistry._by_arrow_name`. The first call to -`prepare_extension_type` for a given `arrow_extension_name` performs factory dispatch and -registers the `LogicalType`. Every subsequent call for the same name hits the -`get_by_arrow_extension_name` check and returns immediately. +`ensure_extension_type` for a given `arrow_extension_name` performs factory dispatch +and registers the `LogicalTypeProtocol`. Every subsequent call for the same name hits +the `get_by_arrow_extension_name` check and returns immediately. -Because `default_logical_type_registry` is a module-level singleton that lives for the -process lifetime, this provides exactly the per-process caching semantics described in -PLT-1655. No separate `set` is needed in `database_hooks.py` — the registry is the cache. +Because the registry instance lives for the process lifetime (typically as +`data_context.logical_type_registry`), this provides exactly the per-process caching +semantics described in PLT-1655. No separate `set` is needed in `database_hooks.py` +— the registry is the cache. --- @@ -408,14 +329,13 @@ PLT-1655. No separate `set` is needed in `database_hooks.py` — the registry is | Location | Level | Message | |---|---|---| -| `database_hooks.ensure_extensions_registered` | DEBUG | No extension types found in schema | -| `database_hooks.ensure_extensions_registered` | DEBUG | N extension types found, lists names | -| `registry.prepare_extension_type` | DEBUG | Already registered — skipping | -| `registry.prepare_extension_type` | DEBUG | Not registered — dispatching to category factory | -| `registry.prepare_extension_type` | DEBUG | Successfully registered via factory | +| `database_hooks.register_discovered_extensions` | DEBUG | No extension types found in schema | +| `database_hooks.register_discovered_extensions` | DEBUG | N extension types found, lists names | +| `database_hooks.apply_extension_types` | DEBUG | Wrapped column X as extension type Y | +| `registry.ensure_extension_type` | DEBUG | Already registered — skipping | +| `registry.ensure_extension_type` | DEBUG | Not registered — dispatching to category factory | +| `registry.ensure_extension_type` | DEBUG | Successfully registered via factory for category | | `registry.register_logical_type_factory` | DEBUG | Factory registered for category string | -| `delta_lake_databases._read_delta_table` | DEBUG | Peeking schema for extension type registration | -| `connector_arrow_database._get_committed_table` | DEBUG | Peeking schema for extension type registration | All messages use `%r`/`%s` lazy formatting (no f-strings in log calls). @@ -427,29 +347,36 @@ All messages use `%r`/`%s` lazy formatting (no f-strings in log calls). | Test | What it covers | |---|---| -| `test_no_extension_types_is_noop` | Schema with only primitives — returns without touching registry | -| `test_known_type_is_registered` | Schema with one extension type whose factory is registered — logical type registered in PA/Polars | -| `test_already_registered_is_skipped` | Call `ensure_extensions_registered` twice — second call is no-op, no duplicate error | -| `test_unknown_metadata_raises` | Unregistered extension type with valid JSON metadata but no matching factory — raises `ValueError` with name and category in message | -| `test_metadata_not_json_raises` | Unregistered extension type with metadata bytes that are not valid JSON — raises `ValueError` with raw bytes and parse error | -| `test_metadata_json_missing_category_raises` | Unregistered extension type with valid JSON metadata but no `"category"` key — raises `ValueError` naming the extension and parsed dict | -| `test_none_metadata_not_registered_raises` | Unregistered extension type with `None` metadata — raises `ValueError` telling caller to pre-register explicitly (not via factory) | -| `test_none_metadata_already_registered_noop` | Extension type with `None` metadata that IS already in the registry — silent no-op, no error | -| `test_nested_extension_type` | Extension type inside a struct column — walker descends and hook registers it | - -**`tests/test_extension_types/test_registry.py`** additions: +| `test_no_extension_types_is_noop` | Schema with only primitives — `register_discovered_extensions` returns without touching registry | +| `test_known_type_is_registered` | Schema with one extension type whose factory is registered — logical type registered | +| `test_already_registered_is_skipped` | Call `register_discovered_extensions` twice — second call is no-op | +| `test_unknown_metadata_raises` | Unregistered extension type with valid JSON metadata but no matching factory — `ValueError` | +| `test_metadata_not_json_raises` | Unregistered type with non-JSON metadata — `ValueError` with raw bytes | +| `test_metadata_json_missing_category_raises` | Valid JSON but no `"category"` key — `ValueError` | +| `test_none_metadata_not_registered_raises` | `None` metadata on unregistered type — `ValueError` | +| `test_none_metadata_already_registered_noop` | `None` metadata on already-registered type — silent no-op | +| `test_nested_extension_type` | Extension type inside a struct column — walker descends and registers it | +| `test_noop_when_no_extension_metadata` | `apply_extension_types`: plain-types table returned as-is (same object) | +| `test_wraps_storage_column_into_extension_type` | `apply_extension_types`: storage column with metadata re-wrapped | +| `test_zero_copy_single_chunk` | `apply_extension_types`: from_storage shares the underlying buffer | +| `test_zero_copy_multiple_chunks` | `apply_extension_types`: multi-chunk columns wrapped per-chunk | +| `test_already_extension_type_passthrough` | Column already extension-typed returned as-is | +| `test_unregistered_extension_metadata_left_as_storage` | Unregistered ext metadata column stays as storage type | +| `test_nested_struct_extension_type` | Extension type inside struct child field reconstructed recursively | +| `test_mixed_columns_only_ext_columns_changed` | Plain columns untouched when an extension column is processed | + +**`tests/test_databases/test_extension_aware_database.py`** | Test | What it covers | |---|---| -| `test_register_logical_type_factory` | Factory registered by category; `prepare_extension_type` dispatches to it and registers result | -| `test_factory_receives_full_metadata_dict` | Factory `create_logical_type` is called with the full parsed JSON dict, not just the category | -| `test_prepare_already_registered_noop` | `prepare_extension_type` called twice — second call is no-op | -| `test_prepare_already_registered_none_metadata_noop` | Type pre-registered; `None` metadata on subsequent call → no-op, no error | -| `test_prepare_none_metadata_not_registered_raises` | `None` metadata, type not in registry — `ValueError` telling caller to pre-register directly | -| `test_prepare_invalid_json_raises` | `extension_metadata` is not valid UTF-8 JSON — `ValueError` with raw bytes and parse error | -| `test_prepare_json_missing_category_raises` | Valid JSON but no `"category"` key — `ValueError` naming the extension and parsed dict | -| `test_prepare_unknown_category_raises` | Valid JSON with `"category"` but no matching factory — `ValueError` with category and registration hint | -| `test_register_duplicate_category_raises` | `register_logical_type_factory` with same category twice raises `ValueError` | +| `test_get_all_records_applies_extension_types` | Wrapper applies extension types on `get_all_records` | +| `test_get_record_by_id_applies_extension_types` | Wrapper applies extension types on `get_record_by_id` | +| `test_get_records_by_ids_applies_extension_types` | Wrapper applies extension types on `get_records_by_ids` | +| `test_get_all_records_returns_none_when_no_records` | Returns `None` when inner DB has no records | +| `test_write_methods_passthrough` | `add_record` / `add_records` write correctly through wrapper | +| `test_at_returns_extension_aware_database` | `at()` returns `ExtensionAwareDatabase` with same registry | +| `test_base_path_delegates_to_inner` | `base_path` reflects inner database's `base_path` | +| `test_plain_table_passthrough_unchanged` | Tables with no extension metadata returned as-is | --- @@ -457,4 +384,4 @@ All messages use `%r`/`%s` lazy formatting (no f-strings in log calls). * PLT-1653 (`ExtensionTypeRegistry` → `LogicalTypeRegistry`) — **merged** * PLT-1654 (`schema_walker`) — **merged** -* PLT-1668 (`LogicalType` / `LogicalTypeRegistry` redesign) — **merged** (unblocked) +* PLT-1668 (`LogicalTypeProtocol` / `LogicalTypeRegistry` redesign) — **merged** (unblocked) diff --git a/tests/test_extension_types/test_apply_extension_types.py b/tests/test_extension_types/test_apply_extension_types.py index 357d4b26..bf2e6016 100644 --- a/tests/test_extension_types/test_apply_extension_types.py +++ b/tests/test_extension_types/test_apply_extension_types.py @@ -226,3 +226,75 @@ def test_mixed_columns_only_ext_columns_changed(): assert result.schema.field("ext_col").type == ext_type assert result.schema.field("plain_col").type == pa.int32() assert result.column("plain_col").to_pylist() == [1] + + +def test_schema_level_metadata_preserved(): + """Schema-level metadata (e.g. pandas metadata) is preserved when rebuilding schema.""" + from orcapod.extension_types.database_hooks import apply_extension_types + + name = _unique_name() + registry, ext_type = _make_registry_with_type(name, pa.large_utf8()) + + ext_field = pa.field("col", pa.large_utf8()).with_metadata({ + b"ARROW:extension:name": name.encode(), + b"ARROW:extension:metadata": b"", + }) + schema_meta = {b"pandas": b'{"some": "pandas_metadata"}', b"custom": b"value"} + schema = pa.schema([ext_field], metadata=schema_meta) + table = pa.table({"col": pa.array(["x"], type=pa.large_utf8())}, schema=schema) + + result = apply_extension_types(table, registry) + + assert result.schema.field("col").type == ext_type + assert result.schema.metadata == schema_meta + + +def test_plain_struct_not_rebuilt(): + """A struct column with no extension children is returned as-is without rebuilding.""" + from orcapod.extension_types.database_hooks import apply_extension_types + + registry = LogicalTypeRegistry() # empty — nothing registered + inner_field = pa.field("x", pa.int32()) + struct_type = pa.struct([inner_field]) + struct_col = pa.StructArray.from_arrays( + [pa.array([1, 2], type=pa.int32())], fields=[inner_field] + ) + schema = pa.schema([pa.field("s", struct_type)]) + table = pa.table({"s": struct_col}, schema=schema) + + result = apply_extension_types(table, registry) + + # Nothing changed — same object returned + assert result is table + + +def test_struct_null_bitmap_preserved(): + """Null struct rows retain their null status after extension type wrapping.""" + from orcapod.extension_types.database_hooks import apply_extension_types + + name = _unique_name() + registry, ext_type = _make_registry_with_type(name, pa.large_utf8()) + + inner_field = pa.field("inner", pa.large_utf8()).with_metadata({ + b"ARROW:extension:name": name.encode(), + b"ARROW:extension:metadata": b"", + }) + struct_type = pa.struct([inner_field]) + inner_data = pa.array(["a", "b", "c"], type=pa.large_utf8()) + # Build struct with a null at position 1 + struct_col = pa.StructArray.from_arrays( + [inner_data], + fields=[inner_field], + mask=pa.array([False, True, False]), # True = null + ) + schema = pa.schema([pa.field("s", struct_type)]) + table = pa.table({"s": struct_col}, schema=schema) + + result = apply_extension_types(table, registry) + + result_col = result.column("s") + assert result_col.null_count == 1 + rows = result_col.to_pylist() + assert rows[0] is not None + assert rows[1] is None + assert rows[2] is not None From 8bea6d16f390d2dc4cfa45eb99a9d05af860f895 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 04:53:31 +0000 Subject: [PATCH 075/206] docs(extension_types): add PLT-1672 write-side logical type factory design spec Co-Authored-By: Claude Sonnet 4.5 --- ...-write-side-logical-type-factory-design.md | 385 ++++++++++++++++++ 1 file changed, 385 insertions(+) create mode 100644 superpowers/specs/2026-06-15-plt-1672-write-side-logical-type-factory-design.md diff --git a/superpowers/specs/2026-06-15-plt-1672-write-side-logical-type-factory-design.md b/superpowers/specs/2026-06-15-plt-1672-write-side-logical-type-factory-design.md new file mode 100644 index 00000000..df553a20 --- /dev/null +++ b/superpowers/specs/2026-06-15-plt-1672-write-side-logical-type-factory-design.md @@ -0,0 +1,385 @@ +# PLT-1672: Write-Side Logical Type Factory Design + +**Issue:** PLT-1672 +**Date:** 2026-06-15 +**Project:** Orcapod: Arrow/Polars Extension Type Semantic Type System +**Depends on:** PLT-1668 (LogicalType/LogicalTypeRegistry — already on `extension-type-system`) + +--- + +## Overview + +The `LogicalTypeFactory` mechanism today only fires on the **read path**: when the database +read hook encounters an Arrow extension type with an unknown name, it dispatches to a factory +keyed by the `"category"` string in the extension metadata JSON. + +The **write path** has no equivalent. When a user declares a function pod whose input or output +is typed with a Python class that is not yet registered in `LogicalTypeRegistry`, there is no +mechanism to detect this and auto-register a `LogicalType` on the fly. This breaks the +ergonomic goal of "declare a dataclass, use it." + +This spec adds a second factory dispatch axis — **Python-class-keyed** — and wires a +write-side trigger at function pod declaration time. + +--- + +## Design decisions summary + +| Question | Decision | +|---|---| +| Factory protocol extension | Add `create_for_python_type(python_type)` as a new method; rename existing `create_logical_type` → `reconstruct_from_arrow` | +| Registration API | Extend `register_logical_type_factory` signature to accept both `category` and `python_bases` in one call | +| Trigger location | `_FunctionPodBase.__init__()` — at pod declaration time | +| Failure mode | Hard `TypeError` at declaration time if no factory matches | +| MRO resolution | Unified MRO walk across both concrete types and factory keys; most-specific wins; concrete beats factory at same MRO level | + +--- + +## Section 1: Protocol changes — `LogicalTypeFactoryProtocol` + +**File:** `src/orcapod/extension_types/protocols.py` + +The existing `create_logical_type` method is **renamed** to `reconstruct_from_arrow` to make its +role unambiguous (read-path reconstructor from Arrow schema). A new `create_for_python_type` +method is added for the write path. + +```python +class LogicalTypeFactoryProtocol(Protocol): + + def reconstruct_from_arrow( + self, + arrow_extension_name: str, + storage_type: pa.DataType, + metadata: dict[str, Any], + ) -> LogicalTypeProtocol: + """Reconstruct a LogicalType from Arrow schema metadata (read path). + + Called by the registry when a schema walk encounters an extension type + whose metadata ``"category"`` value matches this factory's registered + category. All Arrow schema information is already known. + + Args: + arrow_extension_name: The Arrow extension type name from the schema. + storage_type: The underlying Arrow storage type. + metadata: Full parsed metadata JSON dict. Always contains ``"category"``. + + Returns: + A fully constructed ``LogicalTypeProtocol`` ready for registration. + + Raises: + ValueError: If this factory cannot reconstruct a type for the given name. + """ + ... + + def create_for_python_type( + self, + python_type: type, + ) -> LogicalTypeProtocol: + """Synthesize a LogicalType for the given Python class (write path). + + Called by the registry when pod declaration encounters an unregistered + class whose MRO intersects this factory's registered ``python_bases``. + The factory derives all Arrow metadata (extension name, storage type, + metadata dict) from the Python class itself. + + The returned LogicalType must round-trip: the extension name and metadata + it produces must route back to this same factory's ``reconstruct_from_arrow`` + on a subsequent read, ensuring write → Parquet → read consistency. + + Args: + python_type: The concrete Python class to synthesize a LogicalType for. + + Returns: + A fully constructed ``LogicalTypeProtocol`` ready for registration. + + Raises: + ValueError: If this factory cannot construct a type for the given class. + """ + ... +``` + +**Breaking change:** `create_logical_type` → `reconstruct_from_arrow`. The single internal call +site in `registry.ensure_extension_type()` is updated. Any existing factory implementations +(none yet in the codebase beyond tests) must update the method name. + +The existing test stub in `test_protocols.py` (`_StubFactory.create_logical_type`) is updated +to `reconstruct_from_arrow` and a conformance test for `create_for_python_type` is added. + +--- + +## Section 2: Registry API changes — `LogicalTypeRegistry` + +**File:** `src/orcapod/extension_types/registry.py` + +### New internal state + +```python +class LogicalTypeRegistry: + def __init__(self, logical_types=None): + self._by_logical_name: dict[str, LogicalTypeProtocol] = {} + self._by_arrow_name: dict[str, LogicalTypeProtocol] = {} + self._by_python_type: dict[type, LogicalTypeProtocol] = {} + self._category_factories: dict[str, LogicalTypeFactoryProtocol] = {} # was _factories + self._python_class_factories: dict[type, LogicalTypeFactoryProtocol] = {} # new +``` + +`_factories` is renamed to `_category_factories` for clarity. No external API references it +directly. + +### `register_logical_type_factory` — extended signature + +```python +def register_logical_type_factory( + self, + factory: LogicalTypeFactoryProtocol, + *, + category: str | None = None, + python_bases: Iterable[type] = (), +) -> None: + """Register a factory on one or both dispatch axes. + + Args: + factory: The factory to register. + category: If given, registers factory as the read-side handler for + Arrow extension types whose metadata contains this category string. + Raises ``ValueError`` if a different factory is already registered + for this category. + python_bases: Zero or more Python base classes. Registers factory as + the write-side handler for each. The factory's + ``create_for_python_type`` will be called when a pod declares a + type that is a subclass of one of these bases and no concrete + ``LogicalType`` is yet registered for that type. + Raises ``ValueError`` if a different factory is already registered + for a given base. + + At least one of ``category`` or ``python_bases`` must be provided. + Registering the same factory object twice for the same key is a no-op. + """ +``` + +**Signature change:** `factory` becomes the first positional argument and `category` becomes +keyword-only. Existing call sites using `register_logical_type_factory("Dataclass", factory)` +(positional) update to `register_logical_type_factory(factory, category="Dataclass")`. + +A typical dual-axis registration (as the dataclass factory will use): + +```python +registry.register_logical_type_factory( + dataclass_factory, + category="Dataclass", + python_bases=[DataclassSentinelABC], +) +``` + +### `ensure_extension_type` — one-line update + +The internal call changes from `factory.create_logical_type(...)` to +`factory.reconstruct_from_arrow(...)`. No other logic changes. + +### New: `ensure_logical_type_for_python_class` + +```python +def ensure_logical_type_for_python_class( + self, + python_type: type, +) -> LogicalTypeProtocol: + """Ensure a LogicalType exists for python_type, synthesizing via factory if needed. + + This is the write-side counterpart to ``ensure_extension_type`` (the read-side + trigger). It is called at function pod declaration time for every non-native + type in the pod's input and output schemas. + + Resolution algorithm (unified MRO walk): + + 1. Walk ``python_type.__mro__``. At each MRO step, check: + - ``_by_python_type`` for a concrete registered ``LogicalType`` + - ``_python_class_factories`` for a registered factory + Track the first (most-specific) hit in each dict separately. + + 2. After the MRO walk, if no factory was found in step 1, do a fallback + ``issubclass`` scan over ``_python_class_factories`` keys. This catches + ABCs that use ``__subclasshook__`` for structural dispatch (e.g. a + ``_DataclassSentinelABC`` whose hook returns ``is_dataclass(C)``). + + 3. Resolution rule: + - If only a concrete type found → return it immediately (O(1) after first hit). + - If only a factory found → call ``factory.create_for_python_type(python_type)``, + register the result via ``register_logical_type()``, return it. + Registration caches in ``_by_python_type[python_type]`` — next lookup is O(1). + - If both found at the same MRO level (same class in MRO) → concrete wins. + - If concrete is more specific (lower MRO index) → return concrete. + - If factory is more specific (lower MRO index) → synthesize and register. + + 4. If nothing found (no concrete type, no factory): raise ``TypeError``. + + Args: + python_type: The Python class to resolve. + + Returns: + The registered or newly synthesized ``LogicalTypeProtocol``. + + Raises: + TypeError: If no ``LogicalType`` and no factory is found for ``python_type``. + Message includes guidance on how to register a factory. + """ +``` + +**Caching:** once a factory synthesizes a `LogicalType` for a concrete class and +`register_logical_type` stores it in `_by_python_type[python_type]`, all future calls for that +exact class are O(1) exact-match dict lookups. No factory call, no MRO walk. This per-process +cache is intentionally shared with the read-side cache — they are one and the same +`_by_python_type` dict. + +--- + +## Section 3: Trigger point — `_FunctionPodBase.__init__()` + +**File:** `src/orcapod/core/function_pod.py` + +A module-level helper is added and called from `_FunctionPodBase.__init__()` after the data +function is assigned: + +```python +# Types that Arrow handles natively without a LogicalType +_ARROW_NATIVE_TYPES: frozenset[type] = frozenset({ + int, float, str, bytes, bool, type(None), +}) + + +def _trigger_write_side_registration( + input_schema: Schema, + output_schema: Schema, + registry: LogicalTypeRegistry | None, +) -> None: + """Walk pod schemas and ensure a LogicalType is registered for every non-native type. + + Called once at pod declaration time. Arrow-native types (int, str, etc.) are + skipped. Already-registered types are skipped via a fast O(1) dict check. + Unregistered non-native types trigger factory synthesis. Raises TypeError if + no factory is found — this is an intentional hard error at declaration time. + + Args: + input_schema: The pod's input data schema (column name → Python type). + output_schema: The pod's output data schema. + registry: The LogicalTypeRegistry from the pod's DataContext. No-op if None. + """ + if registry is None: + return + for schema in (input_schema, output_schema): + for python_type in schema.values(): + if python_type in _ARROW_NATIVE_TYPES: + continue + if registry.get_by_python_type(python_type) is not None: + continue # already registered — O(1) cache hit, skip MRO walk + registry.ensure_logical_type_for_python_class(python_type) + # TypeError propagates if no factory matches — intentional +``` + +In `_FunctionPodBase.__init__()`: + +```python +self._data_function = data_function +_trigger_write_side_registration( + data_function.input_data_schema, + data_function.output_data_schema, + self.data_context.logical_type_registry, +) +``` + +**Single chokepoint:** every function pod, whether `FunctionPod` or `FunctionNode`, is +constructed through `_FunctionPodBase.__init__()`. There is no other code path to reach. + +--- + +## Section 4: Failure modes + +**No factory found at pod declaration time:** + +``` +TypeError: No LogicalType or LogicalTypeFactory is registered for type +'myapp.models.Foo'. +To handle this type, register a factory for its base class on the registry: + registry.register_logical_type_factory(factory, python_bases=[]) +Or register a concrete LogicalType directly: + registry.register_logical_type(my_logical_type) +``` + +This error is raised from `ensure_logical_type_for_python_class` and surfaces at the +`_FunctionPodBase.__init__()` call site. There is no fallback, no implicit pickle, no silent +pass-through. The failure is deliberate and loud. + +**Registry is None:** `_trigger_write_side_registration` is a no-op. This handles contexts +without type registration (e.g. test environments that construct pods without a full +DataContext). + +--- + +## Section 5: Symmetry with the read side + +By protocol contract, `create_for_python_type(T)` must produce a `LogicalType` whose Arrow +extension name and metadata JSON are identical to what `reconstruct_from_arrow` expects to +receive when reading that data back. Concretely for the dataclass factory: + +| Direction | Method | Extension name | Metadata | +|---|---|---|---| +| Write | `create_for_python_type(MyEvent)` | `"myapp.models.MyEvent"` | `{"category": "Dataclass"}` | +| Read | `reconstruct_from_arrow("myapp.models.MyEvent", struct_type, {"category": "Dataclass"})` | same | same | + +The registry routes the read path via `_category_factories["Dataclass"]` and the write path via +`_python_class_factories[DataclassSentinelABC]` — the same factory object, different dispatch +keys. Round-trip consistency is enforced by integration tests (write → Parquet → read), not by +the registry itself. + +--- + +## Section 6: Built-in types (Path, UPath, UUID) — confirmed unaffected + +Built-ins are registered as concrete `LogicalType` instances against their exact Python types +(`pathlib.Path`, `upath.UPath`, `uuid.UUID`) in the `DataContext` at startup. When a pod +declares a `pathlib.Path`-typed column: + +1. `_ARROW_NATIVE_TYPES` check: fails (Path is not a primitive) +2. `registry.get_by_python_type(pathlib.Path)` → hits exact match → skips factory +3. No factory involved, no MRO walk, no synthesis + +Built-ins continue to work exactly as before. ✓ + +--- + +## Section 7: What this issue does NOT implement + +The following are explicitly deferred: + +- **Dataclass factory (`orcapod.dataclass`):** PLT-1657 implements the concrete factory and + registers it via `register_logical_type_factory(factory, category="Dataclass", python_bases=[DataclassSentinelABC])`. + PLT-1657 also defines `DataclassSentinelABC` (the ABC with `__subclasshook__` that returns + `is_dataclass(C)`). PLT-1672 defines the slot; PLT-1657 fills it. +- **Pydantic factory:** future issue. The framework accommodates it by design. +- **Picklable factory as fallback:** deferred. The failure-mode section deliberately makes + no-match a hard error for now. + +--- + +## Implementation scope + +All changes are contained to three files: + +| File | Change | +|---|---| +| `src/orcapod/extension_types/protocols.py` | Rename `create_logical_type` → `reconstruct_from_arrow`; add `create_for_python_type` | +| `src/orcapod/extension_types/registry.py` | Rename `_factories` → `_category_factories`; extend `register_logical_type_factory` signature; update `ensure_extension_type` call site; add `ensure_logical_type_for_python_class` | +| `src/orcapod/core/function_pod.py` | Add `_ARROW_NATIVE_TYPES`, `_trigger_write_side_registration`; call from `_FunctionPodBase.__init__()` | + +Tests updated / added: + +| File | Change | +|---|---| +| `tests/test_extension_types/test_protocols.py` | Update `_StubFactory.create_logical_type` → `reconstruct_from_arrow`; add `create_for_python_type` stub and conformance test | +| `tests/test_extension_types/test_registry.py` | Update `register_logical_type_factory` call sites; add tests for `ensure_logical_type_for_python_class` (MRO walk, factory synthesis, caching, TypeError) | +| `tests/test_core/function_pod/test_write_side_registration.py` | New: end-to-end tests verifying pod declaration triggers factory synthesis for unregistered types; hard error when no factory matches | + +--- + +## PLT-1660 cleanup items (deferred) + +None — this issue adds new code only, consistent with the parallel-build strategy. From 7868c76901df264a6f7396dafbcc9fcfd943c7e3 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 05:30:27 +0000 Subject: [PATCH 076/206] docs(extension_types): revise PLT-1672 spec to cover complex types and UniversalTypeConverter wiring Co-Authored-By: Claude Sonnet 4.5 --- ...-write-side-logical-type-factory-design.md | 189 +++++++++++++++--- 1 file changed, 157 insertions(+), 32 deletions(-) diff --git a/superpowers/specs/2026-06-15-plt-1672-write-side-logical-type-factory-design.md b/superpowers/specs/2026-06-15-plt-1672-write-side-logical-type-factory-design.md index df553a20..86598ac3 100644 --- a/superpowers/specs/2026-06-15-plt-1672-write-side-logical-type-factory-design.md +++ b/superpowers/specs/2026-06-15-plt-1672-write-side-logical-type-factory-design.md @@ -19,7 +19,9 @@ mechanism to detect this and auto-register a `LogicalType` on the fly. This brea ergonomic goal of "declare a dataclass, use it." This spec adds a second factory dispatch axis — **Python-class-keyed** — and wires a -write-side trigger at function pod declaration time. +write-side trigger at function pod declaration time. It also integrates the new extension type +system into `UniversalTypeConverter` so that complex nested types like `list[dict[A, list[B]]]` +are handled correctly without duplicating the existing recursive machinery. --- @@ -29,6 +31,7 @@ write-side trigger at function pod declaration time. |---|---| | Factory protocol extension | Add `create_for_python_type(python_type)` as a new method; rename existing `create_logical_type` → `reconstruct_from_arrow` | | Registration API | Extend `register_logical_type_factory` signature to accept both `category` and `python_bases` in one call | +| Complex type handling | Extend `UniversalTypeConverter` to check `LogicalTypeRegistry` first at each leaf; use `_extract_leaf_classes` to recursively unwrap generics for the registration trigger | | Trigger location | `_FunctionPodBase.__init__()` — at pod declaration time | | Failure mode | Hard `TypeError` at declaration time if no factory matches | | MRO resolution | Unified MRO walk across both concrete types and factory keys; most-specific wins; concrete beats factory at same MRO level | @@ -187,7 +190,7 @@ def ensure_logical_type_for_python_class( This is the write-side counterpart to ``ensure_extension_type`` (the read-side trigger). It is called at function pod declaration time for every non-native - type in the pod's input and output schemas. + leaf class extracted from the pod's input and output schemas. Resolution algorithm (unified MRO walk): @@ -232,12 +235,110 @@ cache is intentionally shared with the read-side cache — they are one and the --- -## Section 3: Trigger point — `_FunctionPodBase.__init__()` +## Section 3: Complex type handling — `_extract_leaf_classes` and `UniversalTypeConverter` + +Handling complex nested annotations like `list[dict[A, list[B]]]` requires two complementary +pieces: recursive leaf extraction for the **registration phase**, and a priority check in +`UniversalTypeConverter` for the **encoding phase**. Crucially, the existing recursive machinery +in `UniversalTypeConverter` already handles generic nesting — we tap into it rather than +duplicate it. + +### 3a: `_extract_leaf_classes` — recursive annotation unwrapper + +**File:** `src/orcapod/extension_types/type_utils.py` (new module) + +```python +def _extract_leaf_classes(annotation: Any) -> Iterator[type]: + """Recursively yield all concrete leaf Python classes from a type annotation. + + Unwraps generic aliases (``list[T]``, ``dict[K, V]``, ``Optional[T]``, + ``Union[A, B]``, etc.) using ``typing.get_origin`` / ``typing.get_args`` + and yields every non-generic, non-None leaf class found. + + Examples: + ``list[MyEvent]`` → ``[MyEvent]`` + ``dict[str, MyEvent]`` → ``[str, MyEvent]`` + ``list[dict[A, list[B]]]`` → ``[A, B]`` + ``Optional[MyEvent]`` → ``[MyEvent]`` + ``Union[A, B, None]`` → ``[A, B]`` + ``int`` → ``[int]`` + """ +``` + +Used by `_trigger_write_side_registration` (Section 4) to discover all leaf classes in a schema +column's type annotation before attempting factory dispatch. The function lives in +`extension_types/type_utils.py` so it is importable by both `function_pod.py` and future +callers without a circular-import risk. + +### 3b: `UniversalTypeConverter` — priority check for `LogicalTypeRegistry` + +**File:** `src/orcapod/semantic_types/universal_converter.py` + +`UniversalTypeConverter` gains an optional `logical_type_registry` attribute, injected from +`DataContext` at construction/wiring time: + +```python +class UniversalTypeConverter: + def __init__(self, ..., logical_type_registry: LogicalTypeRegistry | None = None): + ... + self._logical_type_registry = logical_type_registry +``` + +In `_convert_python_to_arrow()`, one new check is inserted **before** the existing +`semantic_registry` check: + +```python +def _convert_python_to_arrow(self, python_type: type) -> pa.DataType: + # ── NEW: check LogicalTypeRegistry first (extension-type identity) ────── + if self._logical_type_registry is not None: + lt = self._logical_type_registry.get_by_python_type(python_type) + if lt is not None: + return lt.get_arrow_extension_type() + + # ── EXISTING: semantic_registry (old shape-based identity) ─────────────── + if self.semantic_registry: + converter = self.semantic_registry.get_converter_for_python_type(python_type) + if converter: + return converter.arrow_struct_type + + # ── EXISTING: dataclass encoding, generic handling, etc. ───────────────── + ... +``` + +This is an **additive, non-breaking change**. The old `semantic_registry` and dataclass encoding +paths remain completely intact and serve as the fallback during the parallel build phase. Once +PLT-1660 removes the old system, those fallback paths are deleted. + +**Why `get_by_python_type()` and not `ensure_logical_type_for_python_class()`** at this call +site: by the time `UniversalTypeConverter` runs (encoding phase), the registration trigger at +pod declaration time has already called `ensure_logical_type_for_python_class` for every leaf +class. The converter therefore only needs a read-only lookup — no synthesis, no side effects. +If a type somehow arrives unregistered at encoding time, it falls through to the old system +rather than raising, preserving parallel-build safety. + +### 3c: `DataContext` wiring + +**File:** `src/orcapod/contexts/` (wherever `DataContext` is constructed) + +When a `DataContext` is constructed, its `logical_type_registry` is passed to its +`type_converter`: + +```python +# In DataContext construction / post-init: +self.type_converter._logical_type_registry = self.logical_type_registry +``` + +This is the only place where the two systems are connected. No other wiring is needed. + +--- + +## Section 4: Trigger point — `_FunctionPodBase.__init__()` **File:** `src/orcapod/core/function_pod.py` A module-level helper is added and called from `_FunctionPodBase.__init__()` after the data -function is assigned: +function is assigned. It uses `_extract_leaf_classes` to handle complex nested annotations +before calling `ensure_logical_type_for_python_class` for each leaf. ```python # Types that Arrow handles natively without a LogicalType @@ -251,28 +352,33 @@ def _trigger_write_side_registration( output_schema: Schema, registry: LogicalTypeRegistry | None, ) -> None: - """Walk pod schemas and ensure a LogicalType is registered for every non-native type. + """Walk pod schemas and ensure a LogicalType is registered for every non-native leaf class. - Called once at pod declaration time. Arrow-native types (int, str, etc.) are - skipped. Already-registered types are skipped via a fast O(1) dict check. - Unregistered non-native types trigger factory synthesis. Raises TypeError if + Recursively unwraps generic annotations (``list[T]``, ``dict[K,V]``, etc.) to + extract leaf classes, then triggers factory synthesis for any not yet registered. + Called once at pod declaration time. + + Arrow-native types (int, str, etc.) are skipped. Already-registered types are + skipped via a fast O(1) dict check. Unregistered non-native types trigger factory + synthesis via ``ensure_logical_type_for_python_class``. Raises ``TypeError`` if no factory is found — this is an intentional hard error at declaration time. Args: - input_schema: The pod's input data schema (column name → Python type). + input_schema: The pod's input data schema (column name → Python type annotation). output_schema: The pod's output data schema. registry: The LogicalTypeRegistry from the pod's DataContext. No-op if None. """ if registry is None: return for schema in (input_schema, output_schema): - for python_type in schema.values(): - if python_type in _ARROW_NATIVE_TYPES: - continue - if registry.get_by_python_type(python_type) is not None: - continue # already registered — O(1) cache hit, skip MRO walk - registry.ensure_logical_type_for_python_class(python_type) - # TypeError propagates if no factory matches — intentional + for annotation in schema.values(): + for leaf_class in _extract_leaf_classes(annotation): + if leaf_class in _ARROW_NATIVE_TYPES: + continue + if registry.get_by_python_type(leaf_class) is not None: + continue # already registered — O(1) cache hit, skip MRO walk + registry.ensure_logical_type_for_python_class(leaf_class) + # TypeError propagates if no factory matches — intentional ``` In `_FunctionPodBase.__init__()`: @@ -291,7 +397,7 @@ constructed through `_FunctionPodBase.__init__()`. There is no other code path t --- -## Section 4: Failure modes +## Section 5: Failure modes **No factory found at pod declaration time:** @@ -312,9 +418,15 @@ pass-through. The failure is deliberate and loud. without type registration (e.g. test environments that construct pods without a full DataContext). +**Unregistered type reaching encoding:** If a type somehow bypasses pod declaration and reaches +`UniversalTypeConverter._convert_python_to_arrow()` without being registered, `get_by_python_type()` +returns `None` and the converter falls through to the old `semantic_registry` / dataclass +encoding path. This is intentional parallel-build safety: the new system is higher-priority but +not exclusive until PLT-1660. + --- -## Section 5: Symmetry with the read side +## Section 6: Symmetry with the read side By protocol contract, `create_for_python_type(T)` must produce a `LogicalType` whose Arrow extension name and metadata JSON are identical to what `reconstruct_from_arrow` expects to @@ -332,21 +444,25 @@ the registry itself. --- -## Section 6: Built-in types (Path, UPath, UUID) — confirmed unaffected +## Section 7: Built-in types (Path, UPath, UUID) — confirmed unaffected Built-ins are registered as concrete `LogicalType` instances against their exact Python types -(`pathlib.Path`, `upath.UPath`, `uuid.UUID`) in the `DataContext` at startup. When a pod -declares a `pathlib.Path`-typed column: +(`pathlib.Path`, `upath.UPath`, `uuid.UUID`) in the `DataContext` at startup. -1. `_ARROW_NATIVE_TYPES` check: fails (Path is not a primitive) -2. `registry.get_by_python_type(pathlib.Path)` → hits exact match → skips factory -3. No factory involved, no MRO walk, no synthesis +At **registration time** (pod declaration): `_extract_leaf_classes` yields `pathlib.Path` from +an annotation like `pathlib.Path`; `registry.get_by_python_type(pathlib.Path)` hits the exact- +match dict immediately → skipped. -Built-ins continue to work exactly as before. ✓ +At **encoding time** (UniversalTypeConverter): `get_by_python_type(pathlib.Path)` returns +`LogicalPath` → `lt.get_arrow_extension_type()` returns the extension Arrow type. The old +`semantic_registry` check for Path is never reached. + +Built-ins continue to work, and are now encoded via the new extension type (not the old struct +shape). ✓ --- -## Section 7: What this issue does NOT implement +## Section 8: What this issue does NOT implement The following are explicitly deferred: @@ -357,29 +473,38 @@ The following are explicitly deferred: - **Pydantic factory:** future issue. The framework accommodates it by design. - **Picklable factory as fallback:** deferred. The failure-mode section deliberately makes no-match a hard error for now. +- **Removal of old `semantic_registry` / dataclass encoding paths:** PLT-1660 only. --- ## Implementation scope -All changes are contained to three files: +All changes are additive. No existing code is deleted. + +### Source files | File | Change | |---|---| -| `src/orcapod/extension_types/protocols.py` | Rename `create_logical_type` → `reconstruct_from_arrow`; add `create_for_python_type` | -| `src/orcapod/extension_types/registry.py` | Rename `_factories` → `_category_factories`; extend `register_logical_type_factory` signature; update `ensure_extension_type` call site; add `ensure_logical_type_for_python_class` | +| `src/orcapod/extension_types/protocols.py` | Rename `create_logical_type` → `reconstruct_from_arrow`; add `create_for_python_type` to `LogicalTypeFactoryProtocol` | +| `src/orcapod/extension_types/registry.py` | Rename `_factories` → `_category_factories`; add `_python_class_factories`; extend `register_logical_type_factory` signature; update `ensure_extension_type` call site; add `ensure_logical_type_for_python_class` | +| `src/orcapod/extension_types/type_utils.py` | New module: `_extract_leaf_classes(annotation)` | +| `src/orcapod/semantic_types/universal_converter.py` | Add optional `logical_type_registry` param; insert `LogicalTypeRegistry.get_by_python_type()` check before `semantic_registry` check in `_convert_python_to_arrow` | +| `src/orcapod/contexts/` | Wire `DataContext.logical_type_registry` into `DataContext.type_converter._logical_type_registry` at construction | | `src/orcapod/core/function_pod.py` | Add `_ARROW_NATIVE_TYPES`, `_trigger_write_side_registration`; call from `_FunctionPodBase.__init__()` | -Tests updated / added: +### Test files | File | Change | |---|---| | `tests/test_extension_types/test_protocols.py` | Update `_StubFactory.create_logical_type` → `reconstruct_from_arrow`; add `create_for_python_type` stub and conformance test | | `tests/test_extension_types/test_registry.py` | Update `register_logical_type_factory` call sites; add tests for `ensure_logical_type_for_python_class` (MRO walk, factory synthesis, caching, TypeError) | -| `tests/test_core/function_pod/test_write_side_registration.py` | New: end-to-end tests verifying pod declaration triggers factory synthesis for unregistered types; hard error when no factory matches | +| `tests/test_extension_types/test_type_utils.py` | New: tests for `_extract_leaf_classes` covering primitives, `list[T]`, `dict[K,V]`, `Optional[T]`, `Union`, deeply nested | +| `tests/test_semantic_types/test_universal_converter.py` | Add tests for `logical_type_registry` priority check: registered types return extension Arrow type, unregistered fall through to old system | +| `tests/test_core/function_pod/test_write_side_registration.py` | New: end-to-end tests for pod declaration triggering factory synthesis; nested types (`list[MyClass]`); hard error when no factory matches | --- ## PLT-1660 cleanup items (deferred) -None — this issue adds new code only, consistent with the parallel-build strategy. +- Remove `semantic_registry` fallback path from `UniversalTypeConverter._convert_python_to_arrow()` (replaced entirely by `logical_type_registry`) +- Remove old `semantic_registry` / `dataclass_encoding` integration from `UniversalTypeConverter` From 854c59c9cfcd01d80ea3378855faf7c34c456369 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 05:47:55 +0000 Subject: [PATCH 077/206] docs(extension_types): add PLT-1672 implementation plan Co-Authored-By: Claude Sonnet 4.5 --- ...lt-1672-write-side-logical-type-factory.md | 1482 +++++++++++++++++ 1 file changed, 1482 insertions(+) create mode 100644 superpowers/plans/2026-06-15-plt-1672-write-side-logical-type-factory.md diff --git a/superpowers/plans/2026-06-15-plt-1672-write-side-logical-type-factory.md b/superpowers/plans/2026-06-15-plt-1672-write-side-logical-type-factory.md new file mode 100644 index 00000000..931e78c7 --- /dev/null +++ b/superpowers/plans/2026-06-15-plt-1672-write-side-logical-type-factory.md @@ -0,0 +1,1482 @@ +# PLT-1672: Write-Side Logical Type Factory Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use sensei:subagent-driven-development (recommended) or sensei:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Add Python-class-keyed write-side factory dispatch to `LogicalTypeRegistry` and wire it into `UniversalTypeConverter` and `_FunctionPodBase` so that unregistered Python types are auto-registered via a factory at function pod declaration time. + +**Architecture:** Two new factory dispatch axes (category-keyed for reads, python-class-keyed for writes) are unified in `LogicalTypeRegistry`'s `ensure_logical_type_for_python_class` with a shared MRO resolution algorithm. A recursive `_extract_leaf_classes` unwrapper in a new `type_utils.py` feeds the write-side trigger in `_FunctionPodBase.__init__`. `UniversalTypeConverter` is extended with a one-line priority check so registered extension types take precedence over the old shape-based system at encoding time. + +**Tech Stack:** Python 3.12+, PyArrow, Polars, `typing.get_origin`/`get_args` for generic annotation unwrapping. All tests via `uv run pytest`. + +--- + +## File Map + +| File | Action | Responsibility | +|---|---|---| +| `src/orcapod/extension_types/protocols.py` | Modify | Rename `create_logical_type` → `reconstruct_from_arrow`; add `create_for_python_type` | +| `src/orcapod/extension_types/registry.py` | Modify | Rename `_factories` → `_category_factories`; add `_python_class_factories`; extend `register_logical_type_factory`; add `ensure_logical_type_for_python_class` | +| `src/orcapod/extension_types/type_utils.py` | Create | `_extract_leaf_classes(annotation)` — recursive generic annotation unwrapper | +| `src/orcapod/extension_types/__init__.py` | Modify | Export `_extract_leaf_classes` | +| `src/orcapod/semantic_types/universal_converter.py` | Modify | Add `_logical_type_registry` attribute; insert priority check before `semantic_registry` in `_convert_python_to_arrow` | +| `src/orcapod/contexts/core.py` | Modify | Add `DataContext.__post_init__` to wire `logical_type_registry` into `type_converter` | +| `src/orcapod/core/function_pod.py` | Modify | Add `_ARROW_NATIVE_TYPES`, `_trigger_write_side_registration`; call from `_FunctionPodBase.__init__` | +| `tests/test_extension_types/test_protocols.py` | Modify | Update `_StubFactory` stub; add `create_for_python_type` conformance test | +| `tests/test_extension_types/test_registry.py` | Modify | Update all `register_logical_type_factory` call sites; add `ensure_logical_type_for_python_class` tests | +| `tests/test_extension_types/test_type_utils.py` | Create | Tests for `_extract_leaf_classes` | +| `tests/test_semantic_types/test_universal_converter.py` | Modify | Add `_logical_type_registry` priority check tests | +| `tests/test_core/function_pod/test_write_side_registration.py` | Create | End-to-end pod-declaration trigger tests | + +--- + +## Task 1: Rename `create_logical_type` → `reconstruct_from_arrow` in `LogicalTypeFactoryProtocol` + +**Files:** +- Modify: `src/orcapod/extension_types/protocols.py` +- Modify: `src/orcapod/extension_types/registry.py` (call site) +- Modify: `tests/test_extension_types/test_protocols.py` +- Modify: `tests/test_extension_types/test_registry.py` (all uses of `create_logical_type`) + +- [ ] **Step 1: Update `_StubFactory` in test_protocols.py to use the new name** + +Edit `tests/test_extension_types/test_protocols.py`. Replace the `_StubFactory` class body: + +```python +class _StubFactory: + """Minimal conforming implementation of LogicalTypeFactoryProtocol for use in tests.""" + + def reconstruct_from_arrow(self, arrow_extension_name, storage_type, metadata): + return _StubLogicalType() +``` + +Also update `test_logical_type_factory_create_returns_logical_type` to call `reconstruct_from_arrow`: + +```python +def test_logical_type_factory_create_returns_logical_type(): + """A conforming factory returns a LogicalTypeProtocol from reconstruct_from_arrow.""" + from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol, LogicalTypeProtocol + factory: LogicalTypeFactoryProtocol = _StubFactory() + result = factory.reconstruct_from_arrow( + "test.ext", pa.large_utf8(), {"category": "Test"} + ) + assert isinstance(result, LogicalTypeProtocol) +``` + +- [ ] **Step 2: Run the conformance test to confirm it fails (Protocol still expects `create_logical_type`)** + +```bash +uv run pytest tests/test_extension_types/test_protocols.py::test_logical_type_factory_conforming_class_satisfies_protocol -v +``` + +Expected: FAIL — `_StubFactory` is no longer recognized as `LogicalTypeFactoryProtocol` because it lacks `create_logical_type`. + +- [ ] **Step 3: Rename the method in `LogicalTypeFactoryProtocol`** + +In `src/orcapod/extension_types/protocols.py`, rename `create_logical_type` to `reconstruct_from_arrow` in the `LogicalTypeFactoryProtocol` class. The full updated method: + +```python + def reconstruct_from_arrow( + self, + arrow_extension_name: str, + storage_type: pa.DataType, + metadata: dict[str, Any], + ) -> LogicalTypeProtocol: + """Reconstruct a LogicalType from Arrow schema metadata (read path). + + Called by the registry when a schema walk encounters an extension type + whose metadata ``"category"`` value matches this factory's registered + category. All Arrow schema information is already known. + + Args: + arrow_extension_name: The Arrow extension type name from the schema. + storage_type: The underlying Arrow storage type. + metadata: Full parsed metadata JSON dict. Always contains ``"category"``. + + Returns: + A fully constructed ``LogicalTypeProtocol`` ready for registration. + + Raises: + ValueError: If this factory cannot reconstruct a type for the given name. + """ + ... +``` + +- [ ] **Step 4: Update the call site in `registry.py`** + +In `src/orcapod/extension_types/registry.py`, find `ensure_extension_type`. Replace: + +```python + logical_type = factory.create_logical_type( + arrow_extension_name, storage_type, metadata_dict + ) +``` + +with: + +```python + logical_type = factory.reconstruct_from_arrow( + arrow_extension_name, storage_type, metadata_dict + ) +``` + +- [ ] **Step 5: Update `_make_stub_factory` in `test_registry.py`** + +In `tests/test_extension_types/test_registry.py`, find `_make_stub_factory`. Replace `create_logical_type` with `reconstruct_from_arrow` in the inner `_Factory` class: + +```python + def reconstruct_from_arrow(self, arrow_extension_name, storage_type, metadata): + self.calls.append((arrow_extension_name, storage_type, metadata)) + if _return_lt is not None: + return _return_lt + return _make_stub(arrow_name=arrow_extension_name, storage=storage_type) +``` + +- [ ] **Step 6: Run the full test suite for extension_types to confirm all pass** + +```bash +uv run pytest tests/test_extension_types/ -v +``` + +Expected: All previously passing tests still pass. + +- [ ] **Step 7: Commit** + +```bash +git add src/orcapod/extension_types/protocols.py \ + src/orcapod/extension_types/registry.py \ + tests/test_extension_types/test_protocols.py \ + tests/test_extension_types/test_registry.py +git commit -m "refactor(extension_types): rename create_logical_type to reconstruct_from_arrow in LogicalTypeFactoryProtocol" +``` + +--- + +## Task 2: Add `create_for_python_type` to `LogicalTypeFactoryProtocol` + +**Files:** +- Modify: `src/orcapod/extension_types/protocols.py` +- Modify: `tests/test_extension_types/test_protocols.py` + +- [ ] **Step 1: Write the failing conformance test** + +Add to `tests/test_extension_types/test_protocols.py`. First update `_StubFactory` to add the new method: + +```python +class _StubFactory: + """Minimal conforming implementation of LogicalTypeFactoryProtocol for use in tests.""" + + def reconstruct_from_arrow(self, arrow_extension_name, storage_type, metadata): + return _StubLogicalType() + + def create_for_python_type(self, python_type): + return _StubLogicalType() +``` + +Then add the test: + +```python +def test_factory_create_for_python_type_conformance(): + """A conforming factory implements create_for_python_type and returns LogicalTypeProtocol.""" + from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol, LogicalTypeProtocol + factory: LogicalTypeFactoryProtocol = _StubFactory() + assert isinstance(factory, LogicalTypeFactoryProtocol) + result = factory.create_for_python_type(str) + assert isinstance(result, LogicalTypeProtocol) +``` + +- [ ] **Step 2: Run to confirm it fails (Protocol does not yet require `create_for_python_type`)** + +```bash +uv run pytest tests/test_extension_types/test_protocols.py::test_factory_create_for_python_type_conformance -v +``` + +Expected: FAIL — `LogicalTypeFactoryProtocol` does not yet define `create_for_python_type`, so the `isinstance` check passes but calling an undefined method would fail; or the test passes vacuously — either way, add the method to the Protocol so it becomes structurally required. + +- [ ] **Step 3: Add `create_for_python_type` to `LogicalTypeFactoryProtocol` in `protocols.py`** + +```python + def create_for_python_type( + self, + python_type: type, + ) -> LogicalTypeProtocol: + """Synthesize a LogicalType for the given Python class (write path). + + Called by the registry when pod declaration encounters an unregistered + class whose MRO intersects this factory's registered ``python_bases``. + The factory derives all Arrow metadata (extension name, storage type, + metadata dict) from the Python class itself. + + The returned LogicalType must round-trip: the extension name and metadata + it produces must route back to this same factory's ``reconstruct_from_arrow`` + on a subsequent read. + + Args: + python_type: The concrete Python class to synthesize a LogicalType for. + + Returns: + A fully constructed ``LogicalTypeProtocol`` ready for registration. + + Raises: + ValueError: If this factory cannot construct a type for the given class. + """ + ... +``` + +- [ ] **Step 4: Run to confirm the test passes** + +```bash +uv run pytest tests/test_extension_types/test_protocols.py -v +``` + +Expected: All pass. + +- [ ] **Step 5: Commit** + +```bash +git add src/orcapod/extension_types/protocols.py \ + tests/test_extension_types/test_protocols.py +git commit -m "feat(extension_types): add create_for_python_type to LogicalTypeFactoryProtocol" +``` + +--- + +## Task 3: Extend `LogicalTypeRegistry` internals and `register_logical_type_factory` + +**Files:** +- Modify: `src/orcapod/extension_types/registry.py` +- Modify: `tests/test_extension_types/test_registry.py` + +This task renames `_factories` → `_category_factories`, adds `_python_class_factories`, changes the `register_logical_type_factory` signature, and updates all existing call sites. + +- [ ] **Step 1: Write the new `register_logical_type_factory` tests** + +Add to `tests/test_extension_types/test_registry.py`: + +```python +# ── register_logical_type_factory extended API ─────────────────────────────── + +def test_register_logical_type_factory_keyword_category(): + """register_logical_type_factory accepts factory as first arg, category as keyword.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, category="TestCat") # no error + + +def test_register_logical_type_factory_keyword_python_bases(): + """register_logical_type_factory accepts python_bases as keyword.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, python_bases=[str]) # no error + + +def test_register_logical_type_factory_both_axes(): + """register_logical_type_factory accepts both category and python_bases.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, category="Cat", python_bases=[str, int]) + + +def test_register_logical_type_factory_no_axes_raises(): + """register_logical_type_factory raises ValueError when called with no axes.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + with pytest.raises(ValueError, match="At least one of"): + registry.register_logical_type_factory(factory) + + +def test_register_logical_type_factory_python_base_duplicate_different_factory_raises(): + """Registering a different factory for the same python_base raises ValueError.""" + registry = LogicalTypeRegistry() + f1 = _make_stub_factory() + f2 = _make_stub_factory() + registry.register_logical_type_factory(f1, python_bases=[str]) + with pytest.raises(ValueError): + registry.register_logical_type_factory(f2, python_bases=[str]) + + +def test_register_logical_type_factory_python_base_same_factory_idempotent(): + """Registering the same factory twice for the same python_base is a no-op.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, python_bases=[str]) + registry.register_logical_type_factory(factory, python_bases=[str]) # no error +``` + +- [ ] **Step 2: Run to confirm new tests fail** + +```bash +uv run pytest tests/test_extension_types/test_registry.py -k "keyword_category or keyword_python_bases or both_axes or no_axes or python_base" -v +``` + +Expected: FAIL — `register_logical_type_factory` currently takes `(category, factory)` positionally. + +- [ ] **Step 3: Update existing `register_logical_type_factory` call sites in test_registry.py** + +Search for all existing calls to `register_logical_type_factory` that use the old positional signature `(category, factory)` and update them to the new keyword form `(factory, category=...)`. + +Run this to find them: +```bash +grep -n "register_logical_type_factory" tests/test_extension_types/test_registry.py +``` + +For each occurrence of the form `registry.register_logical_type_factory("SomeCategory", factory)`, replace with `registry.register_logical_type_factory(factory, category="SomeCategory")`. + +- [ ] **Step 4: Update `_make_stub_factory` to also add `create_for_python_type`** + +In `test_registry.py`, update `_make_stub_factory` so the inner `_Factory` class also implements `create_for_python_type` (required by the updated `LogicalTypeFactoryProtocol`): + +```python +def _make_stub_factory(return_lt: LogicalTypeProtocol | None = None) -> LogicalTypeFactoryProtocol: + """Factory for minimal LogicalTypeFactoryProtocol conforming stubs.""" + _return_lt = return_lt + + class _Factory: + def __init__(self): + self.calls: list[tuple] = [] + self.python_type_calls: list[type] = [] + + def reconstruct_from_arrow(self, arrow_extension_name, storage_type, metadata): + self.calls.append((arrow_extension_name, storage_type, metadata)) + if _return_lt is not None: + return _return_lt + return _make_stub(arrow_name=arrow_extension_name, storage=storage_type) + + def create_for_python_type(self, python_type): + self.python_type_calls.append(python_type) + if _return_lt is not None: + return _return_lt + return _make_stub(py_type=python_type) + + return _Factory() +``` + +- [ ] **Step 5: Implement the changes in `registry.py`** + +In `LogicalTypeRegistry.__init__`, rename `_factories` → `_category_factories` and add `_python_class_factories`: + +```python + def __init__(self, logical_types: list[LogicalTypeProtocol] | None = None) -> None: + self._by_logical_name: dict[str, LogicalTypeProtocol] = {} + self._by_arrow_name: dict[str, LogicalTypeProtocol] = {} + self._by_python_type: dict[type, LogicalTypeProtocol] = {} + self._category_factories: dict[str, LogicalTypeFactoryProtocol] = {} + self._python_class_factories: dict[type, LogicalTypeFactoryProtocol] = {} + for lt in (logical_types or []): + self.register_logical_type(lt) +``` + +Replace `register_logical_type_factory` with the new signature. Find the existing method and replace it entirely: + +```python + def register_logical_type_factory( + self, + factory: LogicalTypeFactoryProtocol, + *, + category: str | None = None, + python_bases: Iterable[type] = (), + ) -> None: + """Register a factory on one or both dispatch axes. + + Args: + factory: The factory to register. + category: If given, registers factory as the read-side handler for Arrow + extension types whose metadata contains this category string. Raises + ``ValueError`` if a different factory is already registered for this + category. + python_bases: Zero or more Python base classes. Registers factory as the + write-side handler for each. Raises ``ValueError`` if a different + factory is already registered for a given base. + + Raises: + ValueError: If neither ``category`` nor ``python_bases`` is provided. + ValueError: If a different factory is already registered for a given key. + """ + if category is None and not python_bases: + raise ValueError( + "At least one of 'category' or 'python_bases' must be provided." + ) + if category is not None: + existing = self._category_factories.get(category) + if existing is not None and existing is not factory: + raise ValueError( + f"Cannot register factory for category {category!r}: " + f"a different factory is already registered for this category." + ) + if existing is not factory: + self._category_factories[category] = factory + logger.debug( + "registered LogicalTypeFactory for category %r: %r", category, factory + ) + for base in python_bases: + existing = self._python_class_factories.get(base) + if existing is not None and existing is not factory: + raise ValueError( + f"Cannot register factory for python base {base!r}: " + f"a different factory is already registered for this base." + ) + if existing is not factory: + self._python_class_factories[base] = factory + logger.debug( + "registered LogicalTypeFactory for python base %r: %r", base, factory + ) +``` + +Also update the `ensure_extension_type` method: replace any reference to `self._factories` with `self._category_factories`. + +- [ ] **Step 6: Run all registry tests to confirm they pass** + +```bash +uv run pytest tests/test_extension_types/test_registry.py -v +``` + +Expected: All pass. (Any test using the old positional signature was updated in Step 3.) + +- [ ] **Step 7: Run the full extension_types test suite** + +```bash +uv run pytest tests/test_extension_types/ -v +``` + +Expected: All pass. + +- [ ] **Step 8: Commit** + +```bash +git add src/orcapod/extension_types/registry.py \ + tests/test_extension_types/test_registry.py +git commit -m "feat(extension_types): add python_class_factories axis to LogicalTypeRegistry; extend register_logical_type_factory" +``` + +--- + +## Task 4: Add `ensure_logical_type_for_python_class` to `LogicalTypeRegistry` + +**Files:** +- Modify: `src/orcapod/extension_types/registry.py` +- Modify: `tests/test_extension_types/test_registry.py` + +- [ ] **Step 1: Write all failing tests for `ensure_logical_type_for_python_class`** + +Add this block to `tests/test_extension_types/test_registry.py`: + +```python +# ── ensure_logical_type_for_python_class tests ─────────────────────────────── + +class _A: + pass + + +class _B(_A): + pass + + +class _C(_B): + pass + + +def test_ensure_for_python_class_concrete_exact_match(): + """Returns the concrete LogicalType when exact Python type is registered.""" + registry = LogicalTypeRegistry() + lt = _make_stub(py_type=_A) + registry.register_logical_type(lt) + result = registry.ensure_logical_type_for_python_class(_A) + assert result is lt + + +def test_ensure_for_python_class_concrete_mro_match(): + """Returns concrete LogicalType registered for a parent class via MRO walk.""" + registry = LogicalTypeRegistry() + lt = _make_stub(py_type=_A) + registry.register_logical_type(lt) + result = registry.ensure_logical_type_for_python_class(_C) + assert result is lt + + +def test_ensure_for_python_class_factory_synthesis(): + """Calls factory.create_for_python_type and registers the result.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, python_bases=[_A]) + result = registry.ensure_logical_type_for_python_class(_C) + assert len(factory.python_type_calls) == 1 + assert factory.python_type_calls[0] is _C + # Synthesized type is now registered — second call hits cache + cached = registry.ensure_logical_type_for_python_class(_C) + assert cached is result + assert len(factory.python_type_calls) == 1 # factory NOT called again + + +def test_ensure_for_python_class_concrete_beats_factory_same_mro_level(): + """When concrete type and factory are registered for the same class, concrete wins.""" + registry = LogicalTypeRegistry() + lt = _make_stub(py_type=_A) + registry.register_logical_type(lt) + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, python_bases=[_A]) + result = registry.ensure_logical_type_for_python_class(_A) + assert result is lt + assert len(factory.python_type_calls) == 0 # factory never called + + +def test_ensure_for_python_class_factory_more_specific_than_concrete(): + """Factory registered for a subclass beats concrete registered for a parent.""" + registry = LogicalTypeRegistry() + lt_a = _make_stub(py_type=_A) + registry.register_logical_type(lt_a) # concrete for _A + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, python_bases=[_B]) # factory for _B + # Query _C: factory at _B (MRO index 1) beats concrete at _A (MRO index 2) + result = registry.ensure_logical_type_for_python_class(_C) + assert len(factory.python_type_calls) == 1 + assert factory.python_type_calls[0] is _C + + +def test_ensure_for_python_class_concrete_more_specific_than_factory(): + """Concrete registered for a subclass beats factory registered for a parent.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, python_bases=[_A]) # factory for _A + lt_b = _make_stub(py_type=_B) + registry.register_logical_type(lt_b) # concrete for _B + # Query _C: concrete at _B (MRO index 1) beats factory at _A (MRO index 2) + result = registry.ensure_logical_type_for_python_class(_C) + assert result is lt_b + assert len(factory.python_type_calls) == 0 + + +def test_ensure_for_python_class_abc_subclasshook(): + """issubclass fallback scan catches ABCs with __subclasshook__.""" + from abc import ABCMeta + + class _StructuralABC(metaclass=ABCMeta): + @classmethod + def __subclasshook__(cls, C): + return hasattr(C, "_MARKER") + + class _MarkedClass: + _MARKER = True + + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, python_bases=[_StructuralABC]) + result = registry.ensure_logical_type_for_python_class(_MarkedClass) + assert len(factory.python_type_calls) == 1 + assert factory.python_type_calls[0] is _MarkedClass + + +def test_ensure_for_python_class_no_match_raises_type_error(): + """TypeError raised when no LogicalType and no factory match the type.""" + registry = LogicalTypeRegistry() + + with pytest.raises(TypeError, match="No LogicalType or LogicalTypeFactory"): + registry.ensure_logical_type_for_python_class(_C) +``` + +- [ ] **Step 2: Run to confirm all fail** + +```bash +uv run pytest tests/test_extension_types/test_registry.py -k "ensure_for_python_class" -v +``` + +Expected: All FAIL with `AttributeError: 'LogicalTypeRegistry' has no attribute 'ensure_logical_type_for_python_class'`. + +- [ ] **Step 3: Implement `ensure_logical_type_for_python_class` in `registry.py`** + +Add the method to `LogicalTypeRegistry` after `ensure_extension_type`: + +```python + def ensure_logical_type_for_python_class( + self, + python_type: type, + ) -> LogicalTypeProtocol: + """Ensure a LogicalType exists for python_type, synthesizing via factory if needed. + + Resolution algorithm: + 1. Walk ``python_type.__mro__``. Track the first (most-specific) hit in + ``_by_python_type`` (concrete) and ``_python_class_factories`` (factory) + separately, recording the MRO index of each. + 2. After the MRO walk, if no factory was found, do a fallback ``issubclass`` + scan over ``_python_class_factories`` keys to catch ABCs with + ``__subclasshook__``. Assign these the least-specific MRO index + (len of __mro__) so they lose to any direct MRO match. + 3. Resolution rule: if both concrete and factory found, compare MRO indices — + lower index wins. Ties (same class) → concrete wins. + 4. If factory wins (or only factory found): call + ``factory.create_for_python_type(python_type)``, register the result, + and return it. The registration caches it in ``_by_python_type[python_type]``. + 5. If nothing found: raise ``TypeError``. + + Args: + python_type: The Python class to resolve. + + Returns: + The registered or newly synthesized ``LogicalTypeProtocol``. + + Raises: + TypeError: If no ``LogicalType`` and no factory is found. + """ + best_concrete_idx: int | None = None + best_concrete: LogicalTypeProtocol | None = None + best_factory_idx: int | None = None + best_factory: LogicalTypeFactoryProtocol | None = None + + # Step 1: Walk MRO + for i, base in enumerate(python_type.__mro__): + if best_concrete is None and base in self._by_python_type: + best_concrete_idx = i + best_concrete = self._by_python_type[base] + if best_factory is None and base in self._python_class_factories: + best_factory_idx = i + best_factory = self._python_class_factories[base] + if best_concrete is not None and best_factory is not None: + break + + # Step 2: issubclass fallback scan for ABCs with __subclasshook__ + if best_factory is None: + for base_class, factory in self._python_class_factories.items(): + try: + if issubclass(python_type, base_class): + best_factory = factory + # ABC match — less specific than any direct MRO hit + best_factory_idx = len(python_type.__mro__) + break + except TypeError: + continue + + # Step 3: Resolution + if best_concrete is None and best_factory is None: + raise TypeError( + f"No LogicalType or LogicalTypeFactory is registered for type " + f"{python_type!r}.\n" + f"To handle this type, register a factory for its base class:\n" + f" registry.register_logical_type_factory(\n" + f" factory, python_bases=[]\n" + f" )\n" + f"Or register a concrete LogicalType directly:\n" + f" registry.register_logical_type(my_logical_type)" + ) + + if best_factory is None: + # Only concrete found + assert best_concrete is not None + return best_concrete + + if best_concrete is None: + # Only factory found — synthesize + assert best_factory is not None + lt = best_factory.create_for_python_type(python_type) + self.register_logical_type(lt) + logger.debug( + "ensure_logical_type_for_python_class: synthesized %r for %r", + lt.logical_type_name, + python_type, + ) + return lt + + # Both found — compare specificity (lower MRO index = more specific) + assert best_concrete_idx is not None + assert best_factory_idx is not None + if best_concrete_idx <= best_factory_idx: + # Concrete is same level (ties → concrete wins) or more specific + return best_concrete + else: + # Factory is more specific — synthesize + lt = best_factory.create_for_python_type(python_type) + self.register_logical_type(lt) + logger.debug( + "ensure_logical_type_for_python_class: synthesized %r for %r via more-specific factory", + lt.logical_type_name, + python_type, + ) + return lt +``` + +- [ ] **Step 4: Run the new tests** + +```bash +uv run pytest tests/test_extension_types/test_registry.py -k "ensure_for_python_class" -v +``` + +Expected: All pass. + +- [ ] **Step 5: Run the full extension_types suite** + +```bash +uv run pytest tests/test_extension_types/ -v +``` + +Expected: All pass. + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/extension_types/registry.py \ + tests/test_extension_types/test_registry.py +git commit -m "feat(extension_types): add ensure_logical_type_for_python_class with unified MRO resolution" +``` + +--- + +## Task 5: Add `_extract_leaf_classes` in `type_utils.py` + +**Files:** +- Create: `src/orcapod/extension_types/type_utils.py` +- Modify: `src/orcapod/extension_types/__init__.py` +- Create: `tests/test_extension_types/test_type_utils.py` + +- [ ] **Step 1: Write the failing tests** + +Create `tests/test_extension_types/test_type_utils.py`: + +```python +"""Tests for extension_types.type_utils helpers.""" + +from __future__ import annotations + +from typing import Optional, Union + +from orcapod.extension_types.type_utils import _extract_leaf_classes + + +class _A: + pass + + +class _B: + pass + + +def test_plain_class(): + assert list(_extract_leaf_classes(int)) == [int] + + +def test_plain_custom_class(): + assert list(_extract_leaf_classes(_A)) == [_A] + + +def test_list_of_class(): + assert list(_extract_leaf_classes(list[int])) == [int] + + +def test_dict_of_classes(): + result = set(_extract_leaf_classes(dict[str, int])) + assert result == {str, int} + + +def test_optional_unwraps_none(): + """Optional[X] yields X but not NoneType.""" + result = list(_extract_leaf_classes(Optional[int])) + assert result == [int] + + +def test_union_yields_all_non_none(): + result = set(_extract_leaf_classes(Union[int, str])) + assert result == {int, str} + + +def test_union_with_none_excludes_none(): + result = set(_extract_leaf_classes(Union[int, None])) + assert type(None) not in result + assert int in result + + +def test_nested_list_of_dict(): + """list[dict[_A, list[_B]]] yields _A and _B.""" + result = set(_extract_leaf_classes(list[dict[_A, list[_B]]])) + assert result == {_A, _B} + + +def test_deeply_nested(): + """list[dict[str, list[dict[int, _A]]]] yields str, int, _A.""" + result = set(_extract_leaf_classes(list[dict[str, list[dict[int, _A]]]])) + assert result == {str, int, _A} + + +def test_non_generic_non_type_is_skipped(): + """Annotations that are not types and not generic aliases yield nothing.""" + # e.g. a string annotation that failed resolution — should not crash + result = list(_extract_leaf_classes("unresolved_string")) + assert result == [] + + +def test_none_type_plain(): + """type(None) itself yields type(None) as a leaf (not filtered at this level).""" + result = list(_extract_leaf_classes(type(None))) + assert result == [type(None)] +``` + +- [ ] **Step 2: Run to confirm all fail** + +```bash +uv run pytest tests/test_extension_types/test_type_utils.py -v +``` + +Expected: All FAIL with `ModuleNotFoundError` or `ImportError`. + +- [ ] **Step 3: Create `src/orcapod/extension_types/type_utils.py`** + +```python +"""Utility helpers for Python type annotation inspection. + +Used by the write-side registration trigger to extract leaf Python classes from +complex generic annotations like ``list[dict[A, list[B]]]``. +""" + +from __future__ import annotations + +import typing +from typing import Any, Iterator + + +def _extract_leaf_classes(annotation: Any) -> Iterator[type]: + """Recursively yield all concrete leaf Python classes from a type annotation. + + Unwraps generic aliases (``list[T]``, ``dict[K, V]``, ``Optional[T]``, + ``Union[A, B]``, etc.) using ``typing.get_origin`` and ``typing.get_args`` + and yields every non-generic leaf found. ``NoneType`` (from ``Optional`` + and ``Union[..., None]``) is yielded as-is — callers that want to skip it + should filter on ``type(None)``. + + Non-type, non-generic values (e.g. unresolved string annotations) are + silently skipped. + + Args: + annotation: A Python type or generic alias to inspect. + + Yields: + Concrete Python ``type`` objects found at leaf positions. + + Examples: + >>> list(_extract_leaf_classes(list[int])) + [] + >>> set(_extract_leaf_classes(dict[str, list[MyClass]])) + {, } + """ + origin = typing.get_origin(annotation) + + if origin is None: + # Not a generic alias. Yield only if it is a plain type. + if isinstance(annotation, type): + yield annotation + return + + # Generic alias — recurse into every type argument. + for arg in typing.get_args(annotation): + yield from _extract_leaf_classes(arg) +``` + +- [ ] **Step 4: Export from `__init__.py`** + +In `src/orcapod/extension_types/__init__.py`, add to the imports and `__all__`: + +```python +from .type_utils import _extract_leaf_classes +``` + +And add `"_extract_leaf_classes"` to `__all__`. + +- [ ] **Step 5: Run to confirm all tests pass** + +```bash +uv run pytest tests/test_extension_types/test_type_utils.py -v +``` + +Expected: All pass. + +- [ ] **Step 6: Run the full extension_types suite** + +```bash +uv run pytest tests/test_extension_types/ -v +``` + +Expected: All pass. + +- [ ] **Step 7: Commit** + +```bash +git add src/orcapod/extension_types/type_utils.py \ + src/orcapod/extension_types/__init__.py \ + tests/test_extension_types/test_type_utils.py +git commit -m "feat(extension_types): add _extract_leaf_classes for recursive generic annotation unwrapping" +``` + +--- + +## Task 6: Wire `LogicalTypeRegistry` into `UniversalTypeConverter` and `DataContext` + +**Files:** +- Modify: `src/orcapod/semantic_types/universal_converter.py` +- Modify: `src/orcapod/contexts/core.py` +- Modify: `tests/test_semantic_types/test_universal_converter.py` + +- [ ] **Step 1: Write the failing tests** + +Add to `tests/test_semantic_types/test_universal_converter.py`: + +```python +# ── LogicalTypeRegistry priority tests ─────────────────────────────────────── + +import pyarrow as pa +import polars as pl + +from orcapod.extension_types.registry import ( + LogicalTypeRegistry, + make_arrow_extension_type, + make_polars_extension_type, +) +from orcapod.semantic_types.universal_converter import UniversalTypeConverter + + +def _make_logical_type_stub(py_type: type, arrow_name: str) -> object: + """Return a minimal LogicalTypeProtocol conforming stub.""" + _ArrowExtClass = make_arrow_extension_type(arrow_name, pa.large_string()) + _pl_dtype = pl.String + + class _PolarsExt(pl.BaseExtension): + def __init__(self): + super().__init__(arrow_name, _pl_dtype, None) + @classmethod + def ext_from_params(cls, ext_name, storage_dtype, metadata_str): + return cls() + + class _Stub: + logical_type_name = arrow_name + python_type = py_type + + def get_arrow_extension_type(self): + return _ArrowExtClass() + + def get_polars_extension_type(self): + return _PolarsExt() + + def python_to_storage(self, value): + return str(value) + + def storage_to_python(self, storage_value): + return storage_value + + return _Stub() + + +class _MyCustomClass: + pass + + +def test_converter_uses_logical_type_registry_for_registered_type(): + """When a LogicalType is registered, converter returns its Arrow extension type.""" + import uuid as _uuid + arrow_name = f"test.MyCustomClass.{_uuid.uuid4().hex[:8]}" + lt = _make_logical_type_stub(_MyCustomClass, arrow_name) + + registry = LogicalTypeRegistry() + registry.register_logical_type(lt) + + converter = UniversalTypeConverter() + converter._logical_type_registry = registry + + result = converter.python_type_to_arrow_type(_MyCustomClass) + expected_ext = lt.get_arrow_extension_type() + assert result == expected_ext + + +def test_converter_falls_through_for_unregistered_type(): + """If type not in LogicalTypeRegistry, converter falls through to old system (int → int64).""" + registry = LogicalTypeRegistry() + converter = UniversalTypeConverter() + converter._logical_type_registry = registry + + result = converter.python_type_to_arrow_type(int) + assert result == pa.int64() + + +def test_converter_without_registry_unchanged(): + """With no _logical_type_registry set, converter behaves exactly as before.""" + converter = UniversalTypeConverter() + assert converter.python_type_to_arrow_type(str) == pa.large_string() + + +def test_data_context_wires_registry_into_converter(): + """DataContext.__post_init__ wires logical_type_registry into type_converter.""" + from orcapod.contexts import get_default_context + ctx = get_default_context() + assert hasattr(ctx.type_converter, "_logical_type_registry") + assert ctx.type_converter._logical_type_registry is ctx.logical_type_registry +``` + +- [ ] **Step 2: Run to confirm tests fail** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py -k "logical_type_registry or data_context_wires" -v +``` + +Expected: FAIL — `UniversalTypeConverter` has no `_logical_type_registry` attribute. + +- [ ] **Step 3: Add `_logical_type_registry` to `UniversalTypeConverter.__init__`** + +In `src/orcapod/semantic_types/universal_converter.py`, update `__init__`: + +```python + def __init__( + self, + semantic_registry: SemanticTypeRegistry | None = None, + datetime_timezone: typing.Literal["strict", "coerce_utc"] = "strict", + ): + """ + Args: + semantic_registry: Optional registry of semantic type converters. + datetime_timezone: How to handle naive (timezone-less) ``datetime`` + values when converting Python → Arrow. + + ``"strict"`` (default) — raise ``ValueError`` immediately so + callers are forced to be explicit about timezone semantics. + + ``"coerce_utc"`` — silently attach ``timezone.utc`` to naive + datetimes before writing to Arrow. Use this when you know that + all naive datetimes in your data represent UTC. + """ + self.semantic_registry = semantic_registry + self._datetime_timezone = datetime_timezone + self._logical_type_registry = None # set by DataContext.__post_init__ + # ... rest of existing __init__ unchanged ... +``` + +- [ ] **Step 4: Insert the priority check in `_convert_python_to_arrow`** + +In `src/orcapod/semantic_types/universal_converter.py`, find `_convert_python_to_arrow` (around line 411). After the `type_map` check and before the `semantic_registry` check, insert: + +```python + # Check LogicalTypeRegistry first — extension-type identity takes priority + if self._logical_type_registry is not None: + lt = self._logical_type_registry.get_by_python_type(python_type) + if lt is not None: + return lt.get_arrow_extension_type() +``` + +The surrounding context should look like: + +```python + def _convert_python_to_arrow(self, python_type: DataType) -> pa.DataType: + """Core Python → Arrow type conversion logic.""" + type_map = _get_python_to_arrow_map() + if python_type in type_map: + return type_map[python_type] + + # Check LogicalTypeRegistry first — extension-type identity takes priority + if self._logical_type_registry is not None: + lt = self._logical_type_registry.get_by_python_type(python_type) + if lt is not None: + return lt.get_arrow_extension_type() + + # Check semantic registry for registered types + if self.semantic_registry: + converter = self.semantic_registry.get_converter_for_python_type(python_type) + if converter: + return converter.arrow_struct_type + # ... rest unchanged ... +``` + +- [ ] **Step 5: Add `DataContext.__post_init__` in `contexts/core.py`** + +In `src/orcapod/contexts/core.py`, add a `__post_init__` method to `DataContext`: + +```python + def __post_init__(self) -> None: + """Wire components together after dataclass construction. + + Injects ``logical_type_registry`` into ``type_converter`` so that + registered ``LogicalType`` instances take priority over the old + shape-based ``semantic_registry`` at encoding time. + """ + if hasattr(self.type_converter, "_logical_type_registry"): + self.type_converter._logical_type_registry = self.logical_type_registry +``` + +- [ ] **Step 6: Run the new tests** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py -k "logical_type_registry or data_context_wires" -v +``` + +Expected: All pass. + +- [ ] **Step 7: Run the full test suite to confirm no regressions** + +```bash +uv run pytest tests/ -v --tb=short -q +``` + +Expected: All previously passing tests still pass. + +- [ ] **Step 8: Commit** + +```bash +git add src/orcapod/semantic_types/universal_converter.py \ + src/orcapod/contexts/core.py \ + tests/test_semantic_types/test_universal_converter.py +git commit -m "feat(extension_types): wire LogicalTypeRegistry into UniversalTypeConverter and DataContext" +``` + +--- + +## Task 7: Add write-side trigger to `_FunctionPodBase` + +**Files:** +- Modify: `src/orcapod/core/function_pod.py` +- Create: `tests/test_core/function_pod/test_write_side_registration.py` + +- [ ] **Step 1: Write the failing tests** + +Create `tests/test_core/function_pod/test_write_side_registration.py`: + +```python +"""Tests for write-side LogicalType auto-registration at function pod declaration. + +These tests verify that _FunctionPodBase.__init__ triggers factory synthesis for +any non-native Python types in the pod's input/output schemas, and raises TypeError +at declaration time when no factory is registered. +""" + +from __future__ import annotations + +import dataclasses +import pathlib +import uuid as _uuid_module +from typing import Optional + +import pyarrow as pa +import polars as pl +import pytest + +from orcapod.contexts import get_default_context +from orcapod.core.data_function import PythonDataFunction +from orcapod.core.function_pod import FunctionPod +from orcapod.extension_types.protocols import LogicalTypeProtocol +from orcapod.extension_types.registry import ( + LogicalTypeRegistry, + make_arrow_extension_type, + make_polars_extension_type, +) + + +# ── Helpers ────────────────────────────────────────────────────────────────── + +def _make_registry_with_factory(target_base: type) -> tuple[LogicalTypeRegistry, list]: + """Return a registry with a factory for target_base and a call log.""" + call_log: list[type] = [] + + def _make_lt(py_type: type) -> LogicalTypeProtocol: + arrow_name = f"{py_type.__module__}.{py_type.__qualname__}.{_uuid_module.uuid4().hex[:6]}" + ArrowExt = make_arrow_extension_type(arrow_name, pa.large_string()) + pl_dtype = pl.String + + class _PolarsExt(pl.BaseExtension): + def __init__(self): + super().__init__(arrow_name, pl_dtype, None) + @classmethod + def ext_from_params(cls, ext_name, storage_dtype, metadata_str): + return cls() + + class _LT: + logical_type_name = arrow_name + python_type = py_type + def get_arrow_extension_type(self): return ArrowExt() + def get_polars_extension_type(self): return _PolarsExt() + def python_to_storage(self, v): return str(v) + def storage_to_python(self, v): return v + + return _LT() + + class _Factory: + def reconstruct_from_arrow(self, name, storage, meta): + return _make_lt(object) # unused in these tests + + def create_for_python_type(self, python_type): + call_log.append(python_type) + return _make_lt(python_type) + + registry = LogicalTypeRegistry() + registry.register_logical_type_factory(_Factory(), python_bases=[target_base]) + return registry, call_log + + +# ── Custom classes used in tests ───────────────────────────────────────────── + +class _MyBase: + pass + + +class _MyChild(_MyBase): + pass + + +# ── Tests ──────────────────────────────────────────────────────────────────── + +def test_pod_declaration_triggers_factory_for_unregistered_class(): + """Declaring a FunctionPod with an unregistered type causes factory synthesis.""" + registry, call_log = _make_registry_with_factory(_MyBase) + from orcapod.contexts.core import DataContext + from orcapod.contexts import get_default_context + # Build a context with our test registry + base_ctx = get_default_context() + ctx = DataContext( + context_key="test", + version="test", + description="test", + type_converter=base_ctx.type_converter, + arrow_hasher=base_ctx.arrow_hasher, + semantic_hasher=base_ctx.semantic_hasher, + type_handler_registry=base_ctx.type_handler_registry, + logical_type_registry=registry, + ) + + def my_func(x: _MyChild) -> str: + return str(x) + + # Pod declaration should trigger factory for _MyChild + pod = FunctionPod( + func=my_func, + output_keys=["result"], + data_context=ctx, + ) + assert _MyChild in call_log + # The synthesized LogicalType is now in the registry + assert registry.get_by_python_type(_MyChild) is not None + + +def test_pod_declaration_with_nested_list_type(): + """list[_MyChild] in the schema causes factory synthesis for _MyChild.""" + registry, call_log = _make_registry_with_factory(_MyBase) + from orcapod.contexts.core import DataContext + from orcapod.contexts import get_default_context + base_ctx = get_default_context() + ctx = DataContext( + context_key="test", + version="test", + description="test", + type_converter=base_ctx.type_converter, + arrow_hasher=base_ctx.arrow_hasher, + semantic_hasher=base_ctx.semantic_hasher, + type_handler_registry=base_ctx.type_handler_registry, + logical_type_registry=registry, + ) + + def my_func(items: list[_MyChild]) -> str: + return "" + + FunctionPod(func=my_func, output_keys=["result"], data_context=ctx) + assert _MyChild in call_log + + +def test_pod_declaration_native_types_no_factory_call(): + """Pods using only native types (int, str, etc.) never trigger factory lookup.""" + registry = LogicalTypeRegistry() + + class _NeverCalledFactory: + def reconstruct_from_arrow(self, *a): ... + def create_for_python_type(self, pt): + raise AssertionError(f"factory called for {pt!r}") + + registry.register_logical_type_factory( + _NeverCalledFactory(), python_bases=[object] + ) + from orcapod.contexts.core import DataContext + from orcapod.contexts import get_default_context + base_ctx = get_default_context() + ctx = DataContext( + context_key="test", version="test", description="test", + type_converter=base_ctx.type_converter, + arrow_hasher=base_ctx.arrow_hasher, + semantic_hasher=base_ctx.semantic_hasher, + type_handler_registry=base_ctx.type_handler_registry, + logical_type_registry=registry, + ) + + def my_func(x: int, y: str) -> float: + return 0.0 + + # Should not raise — int, str, float are native + FunctionPod(func=my_func, output_keys=["result"], data_context=ctx) + + +def test_pod_declaration_raises_type_error_for_unhandled_class(): + """Pod with a type that has no registered factory raises TypeError at declaration.""" + registry = LogicalTypeRegistry() # empty — no factories + from orcapod.contexts.core import DataContext + from orcapod.contexts import get_default_context + base_ctx = get_default_context() + ctx = DataContext( + context_key="test", version="test", description="test", + type_converter=base_ctx.type_converter, + arrow_hasher=base_ctx.arrow_hasher, + semantic_hasher=base_ctx.semantic_hasher, + type_handler_registry=base_ctx.type_handler_registry, + logical_type_registry=registry, + ) + + def my_func(x: _MyChild) -> str: + return "" + + with pytest.raises(TypeError, match="No LogicalType or LogicalTypeFactory"): + FunctionPod(func=my_func, output_keys=["result"], data_context=ctx) + + +def test_pod_declaration_already_registered_type_no_factory_call(): + """Pre-registered types are not passed to the factory.""" + registry, call_log = _make_registry_with_factory(_MyBase) + # Pre-register _MyChild directly + from orcapod.extension_types.registry import make_arrow_extension_type + ArrowExt = make_arrow_extension_type(f"test.MyChild.{_uuid_module.uuid4().hex[:6]}", pa.large_string()) + + class _PreLT: + logical_type_name = f"test.{_uuid_module.uuid4().hex[:6]}" + python_type = _MyChild + def get_arrow_extension_type(self): return ArrowExt() + def get_polars_extension_type(self): + class P(pl.BaseExtension): + def __init__(self): super().__init__(self.logical_type_name, pl.String, None) + @classmethod + def ext_from_params(cls, *a): return cls() + return P() + def python_to_storage(self, v): return str(v) + def storage_to_python(self, v): return v + + registry.register_logical_type(_PreLT()) + from orcapod.contexts.core import DataContext + from orcapod.contexts import get_default_context + base_ctx = get_default_context() + ctx = DataContext( + context_key="test", version="test", description="test", + type_converter=base_ctx.type_converter, + arrow_hasher=base_ctx.arrow_hasher, + semantic_hasher=base_ctx.semantic_hasher, + type_handler_registry=base_ctx.type_handler_registry, + logical_type_registry=registry, + ) + + def my_func(x: _MyChild) -> str: + return "" + + FunctionPod(func=my_func, output_keys=["result"], data_context=ctx) + # Factory was NOT called — _MyChild was already registered + assert _MyChild not in call_log +``` + +- [ ] **Step 2: Run to confirm all fail** + +```bash +uv run pytest tests/test_core/function_pod/test_write_side_registration.py -v +``` + +Expected: All FAIL — the trigger does not exist yet. + +- [ ] **Step 3: Implement the trigger in `function_pod.py`** + +Add imports at the top of `src/orcapod/core/function_pod.py` (with the existing imports): + +```python +from orcapod.extension_types.type_utils import _extract_leaf_classes +from orcapod.extension_types.registry import LogicalTypeRegistry +``` + +Add the module-level constant and helper function before the `_FunctionPodBase` class definition: + +```python +# Python types that Arrow handles natively — no LogicalType registration needed. +_ARROW_NATIVE_TYPES: frozenset[type] = frozenset({ + int, float, str, bytes, bool, type(None), +}) + + +def _trigger_write_side_registration( + input_schema: Schema, + output_schema: Schema, + registry: LogicalTypeRegistry | None, +) -> None: + """Ensure a LogicalType is registered for every non-native leaf class in the schemas. + + Called once at pod declaration time. Recursively unwraps generic annotations + (``list[T]``, ``dict[K, V]``, etc.) to find leaf classes. Skips Arrow-native + types and already-registered types. Raises ``TypeError`` at declaration time + if no factory is registered for a leaf class — this is intentional. + + Args: + input_schema: The pod's input data schema (column name → Python type annotation). + output_schema: The pod's output data schema. + registry: The ``LogicalTypeRegistry`` from the pod's ``DataContext``. + If ``None``, this function is a no-op. + """ + if registry is None: + return + for schema in (input_schema, output_schema): + for annotation in schema.values(): + for leaf_class in _extract_leaf_classes(annotation): + if leaf_class in _ARROW_NATIVE_TYPES: + continue + if registry.get_by_python_type(leaf_class) is not None: + continue # already registered — O(1) cache hit + registry.ensure_logical_type_for_python_class(leaf_class) + # TypeError propagates if no factory matches — intentional hard error +``` + +In `_FunctionPodBase.__init__`, add the trigger call after `self._data_function = data_function`: + +```python + self._data_function = data_function + _trigger_write_side_registration( + data_function.input_data_schema, + data_function.output_data_schema, + self.data_context.logical_type_registry, + ) +``` + +- [ ] **Step 4: Run the new tests** + +```bash +uv run pytest tests/test_core/function_pod/test_write_side_registration.py -v +``` + +Expected: All pass. + +- [ ] **Step 5: Run the full test suite** + +```bash +uv run pytest tests/ -v --tb=short -q +``` + +Expected: All previously passing tests still pass. The trigger is a no-op for native types and already-registered built-ins (Path, UPath, UUID), so existing pod tests are unaffected. + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/core/function_pod.py \ + tests/test_core/function_pod/test_write_side_registration.py +git commit -m "feat(extension_types): add write-side registration trigger in _FunctionPodBase.__init__" +``` + +--- + +## Self-Review Checklist + +**Spec coverage:** + +| Spec section | Covered by task | +|---|---| +| `reconstruct_from_arrow` rename | Task 1 | +| `create_for_python_type` new method | Task 2 | +| `_category_factories` rename, `_python_class_factories`, extended `register_logical_type_factory` | Task 3 | +| `ensure_logical_type_for_python_class` with unified MRO resolution, caching, TypeError | Task 4 | +| `_extract_leaf_classes` for complex nested annotations | Task 5 | +| `UniversalTypeConverter` priority check + `DataContext` wiring | Task 6 | +| `_trigger_write_side_registration`, `_ARROW_NATIVE_TYPES`, `_FunctionPodBase.__init__` call | Task 7 | +| Failure mode: hard TypeError at declaration time | Task 7 tests | +| Symmetry with read side (protocol contract documented) | Task 2 docstring | +| Built-in types unaffected | Task 7 tests (native types test, pre-registered test) | + +**Type consistency across tasks:** +- `reconstruct_from_arrow` defined in Task 1, used in Task 3 (factory stub) — consistent ✓ +- `create_for_python_type` defined in Task 2, tested in Task 4 (`python_type_calls`) — consistent ✓ +- `_category_factories` introduced in Task 3, referenced in `ensure_logical_type_for_python_class` Task 4 — consistent ✓ +- `_python_class_factories` introduced in Task 3, used in Task 4 — consistent ✓ +- `_extract_leaf_classes` created in Task 5, imported in Task 7 — consistent ✓ +- `_logical_type_registry` attribute name defined in Task 6, checked in Task 6's DataContext test — consistent ✓ +- `LogicalTypeRegistry` import added to `function_pod.py` in Task 7 type annotation — consistent ✓ From c9f9d227c69f30cb80cc81af848781f1f42c0203 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 06:30:49 +0000 Subject: [PATCH 078/206] refactor(extension_types): rename create_logical_type to reconstruct_from_arrow in LogicalTypeFactoryProtocol --- src/orcapod/extension_types/protocols.py | 23 +++++++++---------- src/orcapod/extension_types/registry.py | 6 ++--- .../test_database_hooks.py | 2 +- tests/test_extension_types/test_protocols.py | 6 ++--- tests/test_extension_types/test_registry.py | 6 ++--- 5 files changed, 21 insertions(+), 22 deletions(-) diff --git a/src/orcapod/extension_types/protocols.py b/src/orcapod/extension_types/protocols.py index 36602fc0..145d0ac5 100644 --- a/src/orcapod/extension_types/protocols.py +++ b/src/orcapod/extension_types/protocols.py @@ -107,28 +107,27 @@ class LogicalTypeFactoryProtocol(Protocol): This protocol is ``@runtime_checkable``, consistent with ``LogicalTypeProtocol``. """ - def create_logical_type( + def reconstruct_from_arrow( self, arrow_extension_name: str, storage_type: pa.DataType, metadata: dict[str, Any], ) -> LogicalTypeProtocol: - """Construct a ``LogicalTypeProtocol`` for the given Arrow extension name and storage type. + """Reconstruct a LogicalType from Arrow schema metadata (read path). + + Called by the registry when a schema walk encounters an extension type + whose metadata ``"category"`` value matches this factory's registered + category. All Arrow schema information is already known. Args: - arrow_extension_name: The Arrow extension type name extracted from the - schema (i.e. the value of ``ARROW:extension:name`` field metadata). - storage_type: The underlying Arrow storage type for this extension field. - metadata: The full parsed JSON metadata dict (``dict[str, Any]``). Always contains at least a - ``"category"`` key. May contain additional keys the factory uses (e.g. - ``"protocol"``, ``"pydantic_version"``). + arrow_extension_name: The Arrow extension type name from the schema. + storage_type: The underlying Arrow storage type. + metadata: Full parsed metadata JSON dict. Always contains ``"category"``. Returns: - A fully constructed ``LogicalTypeProtocol`` ready to be passed to - ``LogicalTypeRegistry.register_logical_type()``. + A fully constructed ``LogicalTypeProtocol`` ready for registration. Raises: - ValueError: If this factory cannot construct a logical type for the given - extension name (e.g. the Python class cannot be resolved by name). + ValueError: If this factory cannot reconstruct a type for the given name. """ ... diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index d35d1189..6b13e673 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -61,7 +61,7 @@ def make_arrow_extension_type( (e.g. ``b'{"category": "Dataclass"}'``, ``b'{"category": "Pydantic", "pydantic_version": 2}'``). A ``LogicalTypeFactoryProtocol`` (see - ``LogicalTypeFactoryProtocol.create_logical_type``) dispatches on the + ``LogicalTypeFactoryProtocol.reconstruct_from_arrow``) dispatches on the ``"category"`` value when reading schemas from IPC or Parquet files and uses it to auto-generate the correct ``LogicalTypeProtocol`` implementation for the specific Python class within that category, without requiring @@ -298,7 +298,7 @@ def register_logical_type_factory( When ``ensure_extension_type`` encounters an Arrow extension type whose ``extension_metadata`` JSON contains ``{"category": "", ...}``, - it calls ``factory.create_logical_type(arrow_extension_name, storage_type, + it calls ``factory.reconstruct_from_arrow(arrow_extension_name, storage_type, metadata_dict)`` to construct the logical type and then registers it. Args: @@ -425,7 +425,7 @@ def ensure_extension_type( arrow_extension_name, category, ) - logical_type = factory.create_logical_type( + logical_type = factory.reconstruct_from_arrow( arrow_extension_name, storage_type, metadata_dict ) diff --git a/tests/test_extension_types/test_database_hooks.py b/tests/test_extension_types/test_database_hooks.py index 5b0eff84..577a8c25 100644 --- a/tests/test_extension_types/test_database_hooks.py +++ b/tests/test_extension_types/test_database_hooks.py @@ -66,7 +66,7 @@ class _Factory: def __init__(self): self.calls: list[tuple] = [] - def create_logical_type(self, arrow_extension_name, storage_type, metadata): + def reconstruct_from_arrow(self, arrow_extension_name, storage_type, metadata): import polars as pl from orcapod.extension_types.registry import make_arrow_extension_type diff --git a/tests/test_extension_types/test_protocols.py b/tests/test_extension_types/test_protocols.py index 54598203..84b2a8bb 100644 --- a/tests/test_extension_types/test_protocols.py +++ b/tests/test_extension_types/test_protocols.py @@ -44,7 +44,7 @@ def storage_to_python(self, storage_value): class _StubFactory: """Minimal conforming implementation of LogicalTypeFactoryProtocol for use in tests.""" - def create_logical_type(self, arrow_extension_name, storage_type, metadata): + def reconstruct_from_arrow(self, arrow_extension_name, storage_type, metadata): return _StubLogicalType() @@ -61,10 +61,10 @@ def test_logical_type_factory_conforming_class_satisfies_protocol(): def test_logical_type_factory_create_returns_logical_type(): - """A conforming factory returns a LogicalTypeProtocol from create_logical_type.""" + """A conforming factory returns a LogicalTypeProtocol from reconstruct_from_arrow.""" from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol, LogicalTypeProtocol factory: LogicalTypeFactoryProtocol = _StubFactory() - result = factory.create_logical_type( + result = factory.reconstruct_from_arrow( "test.ext", pa.large_utf8(), {"category": "Test"} ) assert isinstance(result, LogicalTypeProtocol) diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 57a9d684..8cd42c91 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -80,7 +80,7 @@ def storage_to_python(self, storage_value): def _make_stub_factory(return_lt: LogicalTypeProtocol | None = None) -> LogicalTypeFactoryProtocol: """Factory for minimal LogicalTypeFactoryProtocol conforming stubs. - If ``return_lt`` is given, ``create_logical_type`` returns it; otherwise + If ``return_lt`` is given, ``reconstruct_from_arrow`` returns it; otherwise it creates a fresh stub using ``_make_stub`` keyed on the arrow name. ``calls`` records every invocation as ``(arrow_extension_name, storage_type, metadata)``. """ @@ -90,7 +90,7 @@ class _Factory: def __init__(self): self.calls: list[tuple] = [] - def create_logical_type(self, arrow_extension_name, storage_type, metadata): + def reconstruct_from_arrow(self, arrow_extension_name, storage_type, metadata): self.calls.append((arrow_extension_name, storage_type, metadata)) if _return_lt is not None: return _return_lt @@ -596,7 +596,7 @@ def test_register_logical_type_factory_dispatches_on_prepare(): def test_factory_receives_full_metadata_dict(): - """The factory's create_logical_type receives the full parsed JSON dict, not just category.""" + """The factory's reconstruct_from_arrow receives the full parsed JSON dict, not just category.""" registry = LogicalTypeRegistry() factory = _make_stub_factory() registry.register_logical_type_factory("TestCat", factory) From 254c32ea94bc8ddb54836aa96b84aab54a5e40b1 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 06:36:10 +0000 Subject: [PATCH 079/206] feat(extension_types): add create_for_python_type to LogicalTypeFactoryProtocol --- src/orcapod/extension_types/protocols.py | 26 ++++++++++++++++++++ tests/test_extension_types/test_protocols.py | 12 +++++++++ 2 files changed, 38 insertions(+) diff --git a/src/orcapod/extension_types/protocols.py b/src/orcapod/extension_types/protocols.py index 145d0ac5..6d0fc25e 100644 --- a/src/orcapod/extension_types/protocols.py +++ b/src/orcapod/extension_types/protocols.py @@ -131,3 +131,29 @@ def reconstruct_from_arrow( ValueError: If this factory cannot reconstruct a type for the given name. """ ... + + def create_for_python_type( + self, + python_type: type, + ) -> LogicalTypeProtocol: + """Synthesize a LogicalType for the given Python class (write path). + + Called by the registry when pod declaration encounters an unregistered + class whose MRO intersects this factory's registered ``python_bases``. + The factory derives all Arrow metadata (extension name, storage type, + metadata dict) from the Python class itself. + + The returned LogicalType must round-trip: the extension name and metadata + it produces must route back to this same factory's ``reconstruct_from_arrow`` + on a subsequent read. + + Args: + python_type: The concrete Python class to synthesize a LogicalType for. + + Returns: + A fully constructed ``LogicalTypeProtocol`` ready for registration. + + Raises: + ValueError: If this factory cannot construct a type for the given class. + """ + ... diff --git a/tests/test_extension_types/test_protocols.py b/tests/test_extension_types/test_protocols.py index 84b2a8bb..5bf56b7b 100644 --- a/tests/test_extension_types/test_protocols.py +++ b/tests/test_extension_types/test_protocols.py @@ -47,6 +47,9 @@ class _StubFactory: def reconstruct_from_arrow(self, arrow_extension_name, storage_type, metadata): return _StubLogicalType() + def create_for_python_type(self, python_type): + return _StubLogicalType() + def test_logical_type_factory_protocol_is_importable(): """LogicalTypeFactoryProtocol can be imported from extension_types.protocols.""" @@ -89,3 +92,12 @@ def test_conforming_class_satisfies_protocol(): assert isinstance(lt.get_polars_extension_type(), pl.BaseExtension) assert lt.python_to_storage(42) == "42" assert lt.storage_to_python("hello") == "hello" + + +def test_factory_create_for_python_type_conformance(): + """A conforming factory implements create_for_python_type and returns LogicalTypeProtocol.""" + from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol, LogicalTypeProtocol + factory: LogicalTypeFactoryProtocol = _StubFactory() + assert isinstance(factory, LogicalTypeFactoryProtocol) + result = factory.create_for_python_type(str) + assert isinstance(result, LogicalTypeProtocol) From 5deb9e04000751946f1b5ecca2cf874b56f8a503 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 06:39:24 +0000 Subject: [PATCH 080/206] docs(extension_types): clarify create_for_python_type docstring and LogicalTypeFactoryProtocol class doc Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/protocols.py | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/src/orcapod/extension_types/protocols.py b/src/orcapod/extension_types/protocols.py index 6d0fc25e..8bb2d7b5 100644 --- a/src/orcapod/extension_types/protocols.py +++ b/src/orcapod/extension_types/protocols.py @@ -94,7 +94,12 @@ def storage_to_python(self, storage_value: Any) -> Any: @runtime_checkable class LogicalTypeFactoryProtocol(Protocol): - """Protocol for factories that auto-construct ``LogicalTypeProtocol`` instances from Arrow schema metadata. + """Protocol for factories that synthesize or reconstruct ``LogicalTypeProtocol`` instances. + + Bridges two directions: the write path (``create_for_python_type`` — synthesizes a + ``LogicalTypeProtocol`` from a Python class) and the read path + (``reconstruct_from_arrow`` — reconstructs a ``LogicalTypeProtocol`` from Arrow schema + metadata). A ``LogicalTypeFactoryProtocol`` constructs a ``LogicalTypeProtocol`` from the Arrow extension type name, its underlying storage type, and the full parsed JSON @@ -139,13 +144,14 @@ def create_for_python_type( """Synthesize a LogicalType for the given Python class (write path). Called by the registry when pod declaration encounters an unregistered - class whose MRO intersects this factory's registered ``python_bases``. + class whose MRO intersects a base registered for this factory + (via ``LogicalTypeRegistry.register_logical_type_factory``). The factory derives all Arrow metadata (extension name, storage type, metadata dict) from the Python class itself. - The returned LogicalType must round-trip: the extension name and metadata - it produces must route back to this same factory's ``reconstruct_from_arrow`` - on a subsequent read. + The returned LogicalType must round-trip: the Arrow metadata it embeds + must include the ``"category"`` key used to register this factory so + that ``reconstruct_from_arrow`` is correctly selected on a subsequent read. Args: python_type: The concrete Python class to synthesize a LogicalType for. From aab85ce01745c305f25a38129399fb8616729136 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 06:43:07 +0000 Subject: [PATCH 081/206] feat(extension_types): add python_class_factories axis to LogicalTypeRegistry; extend register_logical_type_factory MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Rename `_factories` → `_category_factories` in LogicalTypeRegistry.__init__ - Add `_python_class_factories: dict[type, LogicalTypeFactoryProtocol]` for write-side dispatch - Change register_logical_type_factory signature to (factory, *, category=None, python_bases=()) - Raise ValueError when neither category nor python_bases is provided - Update ensure_extension_type to use _category_factories and update error message - Update _make_stub_factory helper to include create_for_python_type method - Add 6 new tests for the extended API - Update all existing call sites in test_registry.py and test_database_hooks.py to new keyword form --- src/orcapod/extension_types/registry.py | 72 ++++++++++++------- .../test_database_hooks.py | 8 +-- tests/test_extension_types/test_registry.py | 71 +++++++++++++++--- 3 files changed, 113 insertions(+), 38 deletions(-) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 6b13e673..ceaffd13 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -9,7 +9,7 @@ import json import logging import re -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, Iterable from orcapod.extension_types.protocols import LogicalTypeProtocol, LogicalTypeFactoryProtocol from orcapod.utils.lazy_module import LazyModule @@ -193,7 +193,8 @@ def __init__(self, logical_types: list[LogicalTypeProtocol] | None = None) -> No self._by_logical_name: dict[str, LogicalTypeProtocol] = {} self._by_arrow_name: dict[str, LogicalTypeProtocol] = {} self._by_python_type: dict[type, LogicalTypeProtocol] = {} - self._factories: dict[str, LogicalTypeFactoryProtocol] = {} + self._category_factories: dict[str, LogicalTypeFactoryProtocol] = {} + self._python_class_factories: dict[type, LogicalTypeFactoryProtocol] = {} for lt in (logical_types or []): self.register_logical_type(lt) @@ -291,37 +292,56 @@ def get_by_arrow_extension_name(self, arrow_name: str) -> LogicalTypeProtocol | def register_logical_type_factory( self, - category: str, factory: LogicalTypeFactoryProtocol, + *, + category: str | None = None, + python_bases: Iterable[type] = (), ) -> None: - """Register a factory for the given metadata category string. - - When ``ensure_extension_type`` encounters an Arrow extension type whose - ``extension_metadata`` JSON contains ``{"category": "", ...}``, - it calls ``factory.reconstruct_from_arrow(arrow_extension_name, storage_type, - metadata_dict)`` to construct the logical type and then registers it. + """Register a factory on one or both dispatch axes. Args: - category: The ``"category"`` value from the extension metadata JSON that - identifies this category (e.g. ``"Dataclass"``). - factory: A ``LogicalTypeFactory`` instance responsible for constructing - logical types for this category. + factory: The factory to register. + category: If given, registers factory as the read-side handler for Arrow + extension types whose metadata contains this category string. Raises + ``ValueError`` if a different factory is already registered for this + category. + python_bases: Zero or more Python base classes. Registers factory as the + write-side handler for each. Raises ``ValueError`` if a different + factory is already registered for a given base. Raises: - ValueError: If ``category`` is already registered to a different factory. + ValueError: If neither ``category`` nor ``python_bases`` is provided. + ValueError: If a different factory is already registered for a given key. """ - existing = self._factories.get(category) - if existing is not None and existing is not factory: + python_bases_list = list(python_bases) + if category is None and not python_bases_list: raise ValueError( - f"Cannot register factory for category {category!r}: " - f"a different factory is already registered for this category." + "At least one of 'category' or 'python_bases' must be provided." ) - if existing is factory: - return - self._factories[category] = factory - logger.debug( - "registered LogicalTypeFactory for category %r: %r", category, factory - ) + if category is not None: + existing = self._category_factories.get(category) + if existing is not None and existing is not factory: + raise ValueError( + f"Cannot register factory for category {category!r}: " + f"a different factory is already registered for this category." + ) + if existing is not factory: + self._category_factories[category] = factory + logger.debug( + "registered LogicalTypeFactory for category %r: %r", category, factory + ) + for base in python_bases_list: + existing = self._python_class_factories.get(base) + if existing is not None and existing is not factory: + raise ValueError( + f"Cannot register factory for python base {base!r}: " + f"a different factory is already registered for this base." + ) + if existing is not factory: + self._python_class_factories[base] = factory + logger.debug( + "registered LogicalTypeFactory for python base %r: %r", base, factory + ) def ensure_extension_type( self, @@ -409,14 +429,14 @@ def ensure_extension_type( ) # Step 5: Look up factory. - factory = self._factories.get(category) + factory = self._category_factories.get(category) if factory is None: raise ValueError( f"No LogicalTypeFactory is registered for category {category!r}.\n" f"Cannot prepare extension type {arrow_extension_name!r} for " f"registration.\n" f"Register a factory on the registry instance used for reads via " - f"register_logical_type_factory({category!r}, factory)." + f"register_logical_type_factory(factory, category={category!r})." ) # Step 6: Construct logical type via factory. diff --git a/tests/test_extension_types/test_database_hooks.py b/tests/test_extension_types/test_database_hooks.py index 577a8c25..c391de37 100644 --- a/tests/test_extension_types/test_database_hooks.py +++ b/tests/test_extension_types/test_database_hooks.py @@ -137,7 +137,7 @@ def test_known_type_is_registered(fresh_registry): arrow_name = _unique_name() factory = _make_stub_factory() - fresh_registry.register_logical_type_factory("TestCat", factory) + fresh_registry.register_logical_type_factory(factory, category="TestCat") metadata_bytes = json.dumps({"category": "TestCat"}).encode() schema = _make_ext_schema(arrow_name, metadata=metadata_bytes) @@ -154,7 +154,7 @@ def test_already_registered_is_skipped(fresh_registry): arrow_name = _unique_name() factory = _make_stub_factory() - fresh_registry.register_logical_type_factory("TestCat", factory) + fresh_registry.register_logical_type_factory(factory, category="TestCat") metadata_bytes = json.dumps({"category": "TestCat"}).encode() schema = _make_ext_schema(arrow_name, metadata=metadata_bytes) @@ -171,7 +171,7 @@ def test_none_metadata_already_registered_noop(fresh_registry): arrow_name = _unique_name() factory = _make_stub_factory() - fresh_registry.register_logical_type_factory("TestCat", factory) + fresh_registry.register_logical_type_factory(factory, category="TestCat") # First: register via metadata so it ends up in the registry. metadata_bytes = json.dumps({"category": "TestCat"}).encode() @@ -238,7 +238,7 @@ def test_nested_extension_type(fresh_registry): arrow_name = _unique_name() factory = _make_stub_factory() - fresh_registry.register_logical_type_factory("TestCat", factory) + fresh_registry.register_logical_type_factory(factory, category="TestCat") metadata_bytes = json.dumps({"category": "TestCat"}).encode() inner_ext_cls = make_arrow_extension_type(arrow_name, pa.large_utf8(), metadata=metadata_bytes) diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 8cd42c91..cd648b1e 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -83,12 +83,14 @@ def _make_stub_factory(return_lt: LogicalTypeProtocol | None = None) -> LogicalT If ``return_lt`` is given, ``reconstruct_from_arrow`` returns it; otherwise it creates a fresh stub using ``_make_stub`` keyed on the arrow name. ``calls`` records every invocation as ``(arrow_extension_name, storage_type, metadata)``. + ``python_type_calls`` records every ``create_for_python_type`` invocation. """ _return_lt = return_lt class _Factory: def __init__(self): self.calls: list[tuple] = [] + self.python_type_calls: list[type] = [] def reconstruct_from_arrow(self, arrow_extension_name, storage_type, metadata): self.calls.append((arrow_extension_name, storage_type, metadata)) @@ -96,6 +98,12 @@ def reconstruct_from_arrow(self, arrow_extension_name, storage_type, metadata): return _return_lt return _make_stub(arrow_name=arrow_extension_name, storage=storage_type) + def create_for_python_type(self, python_type): + self.python_type_calls.append(python_type) + if _return_lt is not None: + return _return_lt + return _make_stub(py_type=python_type) + return _Factory() @@ -279,15 +287,15 @@ def test_register_logical_type_factory_no_error(): """register_logical_type_factory completes without raising.""" registry = LogicalTypeRegistry() factory = _make_stub_factory() - registry.register_logical_type_factory("TestCat", factory) # should not raise + registry.register_logical_type_factory(factory, category="TestCat") # should not raise def test_register_logical_type_factory_same_instance_idempotent(): """Re-registering the same factory instance for the same category does not raise.""" registry = LogicalTypeRegistry() factory = _make_stub_factory() - registry.register_logical_type_factory("Cat", factory) - registry.register_logical_type_factory("Cat", factory) # should not raise + registry.register_logical_type_factory(factory, category="Cat") + registry.register_logical_type_factory(factory, category="Cat") # should not raise def test_register_duplicate_category_raises(): @@ -295,9 +303,56 @@ def test_register_duplicate_category_raises(): registry = LogicalTypeRegistry() f1 = _make_stub_factory() f2 = _make_stub_factory() - registry.register_logical_type_factory("Cat", f1) + registry.register_logical_type_factory(f1, category="Cat") with pytest.raises(ValueError, match="Cat"): - registry.register_logical_type_factory("Cat", f2) + registry.register_logical_type_factory(f2, category="Cat") + + +def test_register_logical_type_factory_keyword_category(): + """register_logical_type_factory accepts factory as first arg, category as keyword.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, category="TestCat") # no error + + +def test_register_logical_type_factory_keyword_python_bases(): + """register_logical_type_factory accepts python_bases as keyword.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, python_bases=[str]) # no error + + +def test_register_logical_type_factory_both_axes(): + """register_logical_type_factory accepts both category and python_bases.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, category="Cat", python_bases=[str, int]) + + +def test_register_logical_type_factory_no_axes_raises(): + """register_logical_type_factory raises ValueError when called with no axes.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + with pytest.raises(ValueError, match="At least one of"): + registry.register_logical_type_factory(factory) + + +def test_register_logical_type_factory_python_base_duplicate_different_factory_raises(): + """Registering a different factory for the same python_base raises ValueError.""" + registry = LogicalTypeRegistry() + f1 = _make_stub_factory() + f2 = _make_stub_factory() + registry.register_logical_type_factory(f1, python_bases=[str]) + with pytest.raises(ValueError): + registry.register_logical_type_factory(f2, python_bases=[str]) + + +def test_register_logical_type_factory_python_base_same_factory_idempotent(): + """Registering the same factory twice for the same python_base is a no-op.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, python_bases=[str]) + registry.register_logical_type_factory(factory, python_bases=[str]) # no error # --------------------------------------------------------------------------- @@ -584,7 +639,7 @@ def test_register_logical_type_factory_dispatches_on_prepare(): """ensure_extension_type dispatches to the registered factory and registers the result.""" registry = LogicalTypeRegistry() factory = _make_stub_factory() - registry.register_logical_type_factory("TestCat", factory) + registry.register_logical_type_factory(factory, category="TestCat") arrow_name = _unique_name() metadata_bytes = json.dumps({"category": "TestCat"}).encode() @@ -599,7 +654,7 @@ def test_factory_receives_full_metadata_dict(): """The factory's reconstruct_from_arrow receives the full parsed JSON dict, not just category.""" registry = LogicalTypeRegistry() factory = _make_stub_factory() - registry.register_logical_type_factory("TestCat", factory) + registry.register_logical_type_factory(factory, category="TestCat") arrow_name = _unique_name() metadata_bytes = json.dumps( @@ -616,7 +671,7 @@ def test_prepare_already_registered_noop(): """ensure_extension_type called twice does not raise and does not call the factory again.""" registry = LogicalTypeRegistry() factory = _make_stub_factory() - registry.register_logical_type_factory("TestCat", factory) + registry.register_logical_type_factory(factory, category="TestCat") arrow_name = _unique_name() metadata_bytes = json.dumps({"category": "TestCat"}).encode() From 7873824da76eaf5e1b93020f9d4b505533f48c16 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 06:47:18 +0000 Subject: [PATCH 082/206] fix(extension_types): validate all python_bases before writing to prevent partial mutation Split the python_bases loop in register_logical_type_factory into two passes: validate-all-first then write-all, so a conflict on a later base cannot leave earlier bases partially registered. Also tightened the duplicate-factory test to assert the error message contains "different factory". --- src/orcapod/extension_types/registry.py | 4 +++- tests/test_extension_types/test_registry.py | 2 +- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index ceaffd13..ad6b8192 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -330,6 +330,7 @@ def register_logical_type_factory( logger.debug( "registered LogicalTypeFactory for category %r: %r", category, factory ) + # Validate all bases before writing any (prevents partial mutation on error). for base in python_bases_list: existing = self._python_class_factories.get(base) if existing is not None and existing is not factory: @@ -337,7 +338,8 @@ def register_logical_type_factory( f"Cannot register factory for python base {base!r}: " f"a different factory is already registered for this base." ) - if existing is not factory: + for base in python_bases_list: + if self._python_class_factories.get(base) is not factory: self._python_class_factories[base] = factory logger.debug( "registered LogicalTypeFactory for python base %r: %r", base, factory diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index cd648b1e..f62df586 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -343,7 +343,7 @@ def test_register_logical_type_factory_python_base_duplicate_different_factory_r f1 = _make_stub_factory() f2 = _make_stub_factory() registry.register_logical_type_factory(f1, python_bases=[str]) - with pytest.raises(ValueError): + with pytest.raises(ValueError, match="different factory"): registry.register_logical_type_factory(f2, python_bases=[str]) From 17b86e31217d80bafb413955dac69d66eac22a7f Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 06:49:40 +0000 Subject: [PATCH 083/206] feat(extension_types): add ensure_logical_type_for_python_class with unified MRO resolution Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/registry.py | 109 +++++++++++++++++++ tests/test_extension_types/test_registry.py | 111 ++++++++++++++++++++ 2 files changed, 220 insertions(+) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index ad6b8192..9269825b 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -458,3 +458,112 @@ def ensure_extension_type( arrow_extension_name, category, ) + + def ensure_logical_type_for_python_class( + self, + python_type: type, + ) -> LogicalTypeProtocol: + """Ensure a LogicalType exists for ``python_type``, synthesizing via factory if needed. + + Resolution algorithm: + + 1. Walk ``python_type.__mro__``. Track the first (most-specific) hit in + ``_by_python_type`` (concrete) and ``_python_class_factories`` (factory) + separately, recording the MRO index of each. + 2. After the MRO walk, if no factory was found, do a fallback ``issubclass`` + scan over ``_python_class_factories`` keys to catch ABCs with + ``__subclasshook__``. Assign these the least-specific index + (``len(python_type.__mro__)``) so they lose to any direct MRO match. + 3. Resolution rule: if both concrete and factory are found, compare MRO indices — + lower index wins. Ties (same class) → concrete wins. + 4. If factory wins (or only factory found): call + ``factory.create_for_python_type(python_type)``, register the result via + ``register_logical_type``, and return it. The registration caches it in + ``_by_python_type[python_type]``. + 5. If nothing found: raise ``TypeError``. + + Args: + python_type: The Python class to resolve. + + Returns: + The registered or newly synthesized ``LogicalTypeProtocol``. + + Raises: + TypeError: If no ``LogicalType`` and no factory is found for + ``python_type`` or any of its bases. + """ + best_concrete_idx: int | None = None + best_concrete: LogicalTypeProtocol | None = None + best_factory_idx: int | None = None + best_factory: LogicalTypeFactoryProtocol | None = None + + # Step 1: Walk MRO for direct hits. + for i, base in enumerate(python_type.__mro__): + if best_concrete is None and base in self._by_python_type: + best_concrete_idx = i + best_concrete = self._by_python_type[base] + if best_factory is None and base in self._python_class_factories: + best_factory_idx = i + best_factory = self._python_class_factories[base] + if best_concrete is not None and best_factory is not None: + break + + # Step 2: issubclass fallback scan for ABCs with __subclasshook__. + if best_factory is None: + for base_class, factory in self._python_class_factories.items(): + try: + if issubclass(python_type, base_class): + best_factory = factory + # ABC match — assign lower priority than any direct MRO hit. + best_factory_idx = len(python_type.__mro__) + break + except TypeError: + continue + + # Step 3: Nothing found — hard error. + if best_concrete is None and best_factory is None: + raise TypeError( + f"No LogicalType or LogicalTypeFactory is registered for type " + f"{python_type!r}.\n" + f"To handle this type, register a factory for its base class:\n" + f" registry.register_logical_type_factory(\n" + f" factory, python_bases=[]\n" + f" )\n" + f"Or register a concrete LogicalType directly:\n" + f" registry.register_logical_type(my_logical_type)" + ) + + # Only concrete found. + if best_factory is None: + assert best_concrete is not None + return best_concrete + + # Only factory found — synthesize and cache. + if best_concrete is None: + assert best_factory is not None + lt = best_factory.create_for_python_type(python_type) + self.register_logical_type(lt) + logger.debug( + "ensure_logical_type_for_python_class: synthesized %r for %r", + lt.logical_type_name, + python_type, + ) + return lt + + # Both found — compare MRO specificity (lower index = more specific). + assert best_concrete_idx is not None + assert best_factory_idx is not None + if best_concrete_idx <= best_factory_idx: + # Concrete wins (same level or more specific; ties favour concrete). + return best_concrete + else: + # Factory is more specific — synthesize and cache. + lt = best_factory.create_for_python_type(python_type) + self.register_logical_type(lt) + logger.debug( + "ensure_logical_type_for_python_class: synthesized %r for %r " + "via more-specific factory", + lt.logical_type_name, + python_type, + ) + return lt diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index f62df586..7f8b7901 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -355,6 +355,117 @@ def test_register_logical_type_factory_python_base_same_factory_idempotent(): registry.register_logical_type_factory(factory, python_bases=[str]) # no error +# ── ensure_logical_type_for_python_class tests ─────────────────────────────── + +class _A: + pass + + +class _B(_A): + pass + + +class _C(_B): + pass + + +def test_ensure_for_python_class_concrete_exact_match(): + """Returns the concrete LogicalType when exact Python type is registered.""" + registry = LogicalTypeRegistry() + lt = _make_stub(py_type=_A) + registry.register_logical_type(lt) + result = registry.ensure_logical_type_for_python_class(_A) + assert result is lt + + +def test_ensure_for_python_class_concrete_mro_match(): + """Returns concrete LogicalType registered for a parent class via MRO walk.""" + registry = LogicalTypeRegistry() + lt = _make_stub(py_type=_A) + registry.register_logical_type(lt) + result = registry.ensure_logical_type_for_python_class(_C) + assert result is lt + + +def test_ensure_for_python_class_factory_synthesis(): + """Calls factory.create_for_python_type and registers the result.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, python_bases=[_A]) + result = registry.ensure_logical_type_for_python_class(_C) + assert len(factory.python_type_calls) == 1 + assert factory.python_type_calls[0] is _C + # Synthesized type is now registered — second call hits cache + cached = registry.ensure_logical_type_for_python_class(_C) + assert cached is result + assert len(factory.python_type_calls) == 1 # factory NOT called again + + +def test_ensure_for_python_class_concrete_beats_factory_same_mro_level(): + """When concrete type and factory are registered for the same class, concrete wins.""" + registry = LogicalTypeRegistry() + lt = _make_stub(py_type=_A) + registry.register_logical_type(lt) + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, python_bases=[_A]) + result = registry.ensure_logical_type_for_python_class(_A) + assert result is lt + assert len(factory.python_type_calls) == 0 # factory never called + + +def test_ensure_for_python_class_factory_more_specific_than_concrete(): + """Factory registered for a subclass beats concrete registered for a parent.""" + registry = LogicalTypeRegistry() + lt_a = _make_stub(py_type=_A) + registry.register_logical_type(lt_a) # concrete for _A + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, python_bases=[_B]) # factory for _B + # Query _C: factory at _B (MRO index 1) beats concrete at _A (MRO index 2) + registry.ensure_logical_type_for_python_class(_C) + assert len(factory.python_type_calls) == 1 + assert factory.python_type_calls[0] is _C + + +def test_ensure_for_python_class_concrete_more_specific_than_factory(): + """Concrete registered for a subclass beats factory registered for a parent.""" + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, python_bases=[_A]) # factory for _A + lt_b = _make_stub(py_type=_B) + registry.register_logical_type(lt_b) # concrete for _B + # Query _C: concrete at _B (MRO index 1) beats factory at _A (MRO index 2) + result = registry.ensure_logical_type_for_python_class(_C) + assert result is lt_b + assert len(factory.python_type_calls) == 0 + + +def test_ensure_for_python_class_abc_subclasshook(): + """issubclass fallback scan catches ABCs with __subclasshook__.""" + from abc import ABCMeta + + class _StructuralABC(metaclass=ABCMeta): + @classmethod + def __subclasshook__(cls, C): + return hasattr(C, "_MARKER") + + class _MarkedClass: + _MARKER = True + + registry = LogicalTypeRegistry() + factory = _make_stub_factory() + registry.register_logical_type_factory(factory, python_bases=[_StructuralABC]) + result = registry.ensure_logical_type_for_python_class(_MarkedClass) + assert len(factory.python_type_calls) == 1 + assert factory.python_type_calls[0] is _MarkedClass + + +def test_ensure_for_python_class_no_match_raises_type_error(): + """TypeError raised when no LogicalType and no factory match the type.""" + registry = LogicalTypeRegistry() + with pytest.raises(TypeError, match="No LogicalType or LogicalTypeFactory"): + registry.ensure_logical_type_for_python_class(_C) + + # --------------------------------------------------------------------------- # PyArrow global registry tests # --------------------------------------------------------------------------- From 6c13b9ee495bd2d9fbba24b59892a1932d704179 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 06:57:52 +0000 Subject: [PATCH 084/206] feat(extension_types): add _extract_leaf_classes for recursive generic annotation unwrapping Implements PLT-1672 Task 5. Adds type_utils.py with _extract_leaf_classes, which recursively unwraps Python generic aliases (list[T], dict[K,V], Optional[T], Union[A,B]) to yield concrete leaf Python classes, skipping NoneType from Optional/Union args. Exports from extension_types __init__. --- src/orcapod/extension_types/__init__.py | 3 + src/orcapod/extension_types/type_utils.py | 50 +++++++++++++ tests/test_extension_types/test_type_utils.py | 74 +++++++++++++++++++ 3 files changed, 127 insertions(+) create mode 100644 src/orcapod/extension_types/type_utils.py create mode 100644 tests/test_extension_types/test_type_utils.py diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index 8447405e..5de997d1 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -17,6 +17,7 @@ from .registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema from .database_hooks import apply_extension_types, register_discovered_extensions +from .type_utils import _extract_leaf_classes __all__ = [ "LogicalTypeProtocol", @@ -31,4 +32,6 @@ # PLT-1655 "register_discovered_extensions", "apply_extension_types", + # PLT-1672 + "_extract_leaf_classes", ] diff --git a/src/orcapod/extension_types/type_utils.py b/src/orcapod/extension_types/type_utils.py new file mode 100644 index 00000000..027db1b4 --- /dev/null +++ b/src/orcapod/extension_types/type_utils.py @@ -0,0 +1,50 @@ +"""Utility helpers for Python type annotation inspection. + +Used by the write-side registration trigger to extract leaf Python classes from +complex generic annotations like ``list[dict[A, list[B]]]``. +""" + +from __future__ import annotations + +import typing +from typing import Any, Iterator + + +def _extract_leaf_classes(annotation: Any) -> Iterator[type]: + """Recursively yield all concrete leaf Python classes from a type annotation. + + Unwraps generic aliases (``list[T]``, ``dict[K, V]``, ``Optional[T]``, + ``Union[A, B]``, etc.) using ``typing.get_origin`` and ``typing.get_args`` + and yields every non-generic leaf found. ``NoneType`` that appears as a + generic argument (from ``Optional`` and ``Union[..., None]``) is skipped — + callers see only the concrete types. When ``type(None)`` is passed directly + as the annotation, it is yielded as-is. + + Non-type, non-generic values (e.g. unresolved string annotations) are + silently skipped. + + Args: + annotation: A Python type or generic alias to inspect. + + Yields: + Concrete Python ``type`` objects found at leaf positions. + + Examples: + >>> list(_extract_leaf_classes(list[int])) + [] + >>> set(_extract_leaf_classes(dict[str, list[MyClass]])) + {, } + """ + origin = typing.get_origin(annotation) + + if origin is None: + # Not a generic alias. Yield only if it is a plain type. + if isinstance(annotation, type): + yield annotation + return + + # Generic alias — recurse into every type argument, skipping NoneType. + for arg in typing.get_args(annotation): + if arg is type(None): + continue + yield from _extract_leaf_classes(arg) diff --git a/tests/test_extension_types/test_type_utils.py b/tests/test_extension_types/test_type_utils.py new file mode 100644 index 00000000..8446269f --- /dev/null +++ b/tests/test_extension_types/test_type_utils.py @@ -0,0 +1,74 @@ +"""Tests for extension_types.type_utils helpers.""" + +from __future__ import annotations + +from typing import Optional, Union + +from orcapod.extension_types.type_utils import _extract_leaf_classes + + +class _A: + pass + + +class _B: + pass + + +def test_plain_class(): + assert list(_extract_leaf_classes(int)) == [int] + + +def test_plain_custom_class(): + assert list(_extract_leaf_classes(_A)) == [_A] + + +def test_list_of_class(): + assert list(_extract_leaf_classes(list[int])) == [int] + + +def test_dict_of_classes(): + result = set(_extract_leaf_classes(dict[str, int])) + assert result == {str, int} + + +def test_optional_unwraps_none(): + """Optional[X] yields X but not NoneType.""" + result = list(_extract_leaf_classes(Optional[int])) + assert result == [int] + + +def test_union_yields_all_non_none(): + result = set(_extract_leaf_classes(Union[int, str])) + assert result == {int, str} + + +def test_union_with_none_excludes_none(): + result = set(_extract_leaf_classes(Union[int, None])) + assert type(None) not in result + assert int in result + + +def test_nested_list_of_dict(): + """list[dict[_A, list[_B]]] yields _A and _B.""" + result = set(_extract_leaf_classes(list[dict[_A, list[_B]]])) + assert result == {_A, _B} + + +def test_deeply_nested(): + """list[dict[str, list[dict[int, _A]]]] yields str, int, _A.""" + result = set(_extract_leaf_classes(list[dict[str, list[dict[int, _A]]]])) + assert result == {str, int, _A} + + +def test_non_generic_non_type_is_skipped(): + """Annotations that are not types and not generic aliases yield nothing.""" + # e.g. a string annotation that failed resolution — should not crash + result = list(_extract_leaf_classes("unresolved_string")) + assert result == [] + + +def test_none_type_plain(): + """type(None) itself yields type(None) as a leaf (not filtered at this level).""" + result = list(_extract_leaf_classes(type(None))) + assert result == [type(None)] From f24c44d362633d4c7528c33618aca22159de396d Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 07:09:16 +0000 Subject: [PATCH 085/206] feat(extension_types): wire LogicalTypeRegistry into UniversalTypeConverter and DataContext - Add `_logical_type_registry = None` to `UniversalTypeConverter.__init__` - Insert registry priority check in `_convert_python_to_arrow` (before semantic_registry) - Add extension-type support to `_create_python_to_arrow_converter` and `_create_arrow_to_python_converter` - Fix unhashable `pa.ExtensionType` in `get_arrow_to_python_converter` cache lookup - Add `DataContext.__post_init__` to wire `logical_type_registry` into `type_converter` - Update tests for `Path`/`UPath` to reflect extension-type output (not struct) - Add 4 new tests verifying registry priority and DataContext wiring Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/contexts/core.py | 10 ++ .../semantic_types/universal_converter.py | 44 ++++++- .../test_schema_arrow_equality.py | 5 +- .../test_universal_converter.py | 114 +++++++++++++++--- 4 files changed, 153 insertions(+), 20 deletions(-) diff --git a/src/orcapod/contexts/core.py b/src/orcapod/contexts/core.py index 9cf53bdc..41dd54fa 100644 --- a/src/orcapod/contexts/core.py +++ b/src/orcapod/contexts/core.py @@ -45,6 +45,16 @@ class DataContext: type_handler_registry: TypeHandlerRegistry logical_type_registry: LogicalTypeRegistry + def __post_init__(self) -> None: + """Wire components together after dataclass construction. + + Injects ``logical_type_registry`` into ``type_converter`` so that + registered ``LogicalType`` instances take priority over the old + shape-based ``semantic_registry`` at encoding time. + """ + if hasattr(self.type_converter, "_logical_type_registry"): + self.type_converter._logical_type_registry = self.logical_type_registry + class ContextValidationError(Exception): """Raised when context validation fails.""" diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index 72e71a77..0112984d 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -180,6 +180,7 @@ def __init__( self._python_to_arrow_types: dict[DataType, pa.DataType] = {} self._arrow_to_python_types: dict[pa.DataType, DataType] = {} self._dataclass_lookup_cache: dict[str, type] = {} + self._logical_type_registry = None # set by DataContext.__post_init__ def python_type_to_arrow_type(self, python_type: DataType) -> pa.DataType: """ @@ -399,12 +400,21 @@ def get_arrow_to_python_converter( This creates and caches conversion functions for optimal performance during data conversion operations. """ - if arrow_type in self._arrow_to_python_converters: - return self._arrow_to_python_converters[arrow_type] + try: + if arrow_type in self._arrow_to_python_converters: + return self._arrow_to_python_converters[arrow_type] + except TypeError: + # Some pa.DataType subclasses (e.g. pa.ExtensionType instances) are not + # hashable and will raise TypeError on dict lookup. Fall through to + # create the converter without caching. + return self._create_arrow_to_python_converter(arrow_type) # Create conversion function converter = self._create_arrow_to_python_converter(arrow_type) - self._arrow_to_python_converters[arrow_type] = converter + try: + self._arrow_to_python_converters[arrow_type] = converter + except TypeError: + pass # Unhashable type — skip caching. return converter @@ -415,6 +425,12 @@ def _convert_python_to_arrow(self, python_type: DataType) -> pa.DataType: if python_type in type_map: return type_map[python_type] + # Check LogicalTypeRegistry — extension-type identity takes priority over shape-based system + if self._logical_type_registry is not None: + lt = self._logical_type_registry.get_by_python_type(python_type) + if lt is not None: + return lt.get_arrow_extension_type() + # Check semantic registry for registered types if self.semantic_registry: converter = self.semantic_registry.get_converter_for_python_type( @@ -511,6 +527,14 @@ def _convert_arrow_to_python(self, arrow_type: pa.DataType) -> type | Any: if pa.types.is_null(arrow_type): return Any + # Check LogicalTypeRegistry for extension types + if isinstance(arrow_type, pa.ExtensionType) and self._logical_type_registry is not None: + lt = self._logical_type_registry.get_by_arrow_extension_name( + arrow_type.extension_name + ) + if lt is not None: + return lt.python_type + # Handle basic types if pa.types.is_integer(arrow_type): return int @@ -743,6 +767,12 @@ def _create_python_to_arrow_converter( ) -> Callable[[Any], Any]: """Create a cached conversion function for Python → Arrow values.""" + # Check LogicalTypeRegistry first — extension-type identity takes priority + if self._logical_type_registry is not None: + lt = self._logical_type_registry.get_by_python_type(python_type) + if lt is not None: + return lt.python_to_storage + # Get the Arrow type for this Python type # TODO: check if this step is necessary _ = self.python_type_to_arrow_type(python_type) @@ -854,6 +884,14 @@ def _create_arrow_to_python_converter( ) -> Callable[[Any], Any]: """Create a cached conversion function for Arrow → Python values.""" + # Check LogicalTypeRegistry for extension types + if isinstance(arrow_type, pa.ExtensionType) and self._logical_type_registry is not None: + lt = self._logical_type_registry.get_by_arrow_extension_name( + arrow_type.extension_name + ) + if lt is not None: + return lt.storage_to_python + # Get the Python type for this Arrow type python_type = self.arrow_type_to_python_type(arrow_type) diff --git a/tests/test_semantic_types/test_schema_arrow_equality.py b/tests/test_semantic_types/test_schema_arrow_equality.py index d004e188..fe18a59d 100644 --- a/tests/test_semantic_types/test_schema_arrow_equality.py +++ b/tests/test_semantic_types/test_schema_arrow_equality.py @@ -265,10 +265,11 @@ def test_nested_list_is_non_nullable(self): assert arrow.field("a").nullable is False def test_path_is_non_nullable(self): - """Path → Arrow struct {path: large_string}, nullable=False.""" + """Path → Arrow extension type (pathlib.Path), nullable=False.""" arrow = _to_arrow(Schema({"p": Path})) assert arrow.field("p").nullable is False - assert pa.types.is_struct(arrow.field("p").type) + assert isinstance(arrow.field("p").type, pa.ExtensionType) + assert arrow.field("p").type.extension_name == "pathlib.Path" def test_equal_list_schemas_are_logically_equal(self): s1 = Schema({"items": list[int]}) diff --git a/tests/test_semantic_types/test_universal_converter.py b/tests/test_semantic_types/test_universal_converter.py index 94f0edc8..0c49cb6c 100644 --- a/tests/test_semantic_types/test_universal_converter.py +++ b/tests/test_semantic_types/test_universal_converter.py @@ -173,37 +173,34 @@ def test_python_type_to_arrow_type_numpy(): def test_python_type_to_arrow_type_custom(): + """Path converts to an Arrow extension type when the default LogicalTypeRegistry is wired in.""" arrow_type = universal_converter.python_type_to_arrow_type(Path) - # Should be a StructType with field 'path' of type large_string - assert isinstance(arrow_type, pa.StructType) - assert len(arrow_type) == 1 - field = arrow_type[0] - assert field.name == "path" - assert field.type == pa.large_string() + # Path is registered in the default logical_type_registry — expect an extension type. + assert isinstance(arrow_type, pa.ExtensionType) + assert arrow_type.extension_name == "pathlib.Path" + assert pa.types.is_large_string(arrow_type.storage_type) def test_python_type_to_arrow_type_upath(): from upath import UPath arrow_type = universal_converter.python_type_to_arrow_type(UPath) - # Should be a StructType with field 'upath' of type large_string - assert isinstance(arrow_type, pa.StructType) - assert len(arrow_type) == 1 - field = arrow_type[0] - assert field.name == "upath" - assert field.type == pa.large_string() + # UPath is registered in the default logical_type_registry — expect an extension type. + assert isinstance(arrow_type, pa.ExtensionType) + assert arrow_type.extension_name == "upath.UPath" + assert pa.types.is_large_string(arrow_type.storage_type) def test_optional_upath_converter(): - """Test that Optional[UPath] correctly converts UPath values.""" + """Test that Optional[UPath] correctly converts UPath values via the LogicalTypeRegistry.""" from upath import UPath to_arrow, to_python = universal_converter.get_conversion_functions(UPath | None) - # Test with UPath value + # UPath is registered — python_to_storage returns the string representation. path = UPath("/tmp/test.txt") result = to_arrow(path) - assert result == {"upath": "/tmp/test.txt"} + assert result == str(path) # Test with None assert to_arrow(None) is None @@ -628,3 +625,90 @@ def test_pyarrow_empty_list_with_null_type(): table = pa.Table.from_pylist([{"items": [], "meta": []}], schema=schema) assert table.num_rows == 1 assert table.schema.field("items").type == pa.large_list(pa.null()) + + +# ── LogicalTypeRegistry priority tests ─────────────────────────────────────── + +import uuid as _uuid_module + +import polars as pl + +from orcapod.extension_types.registry import ( + LogicalTypeRegistry, + make_arrow_extension_type, +) +from orcapod.semantic_types.universal_converter import UniversalTypeConverter + + +def _make_logical_type_stub(py_type: type, arrow_name: str): + """Return a minimal LogicalTypeProtocol conforming stub.""" + _ArrowExtClass = make_arrow_extension_type(arrow_name, pa.large_string()) + + class _PolarsExt(pl.BaseExtension): + def __init__(self): + super().__init__(arrow_name, pl.String, None) + @classmethod + def ext_from_params(cls, ext_name, storage_dtype, metadata_str): + return cls() + + class _Stub: + logical_type_name = arrow_name + python_type = py_type + + def get_arrow_extension_type(self): + return _ArrowExtClass() + + def get_polars_extension_type(self): + return _PolarsExt() + + def python_to_storage(self, value): + return str(value) + + def storage_to_python(self, storage_value): + return storage_value + + return _Stub() + + +class _MyCustomClass: + pass + + +def test_converter_uses_logical_type_registry_for_registered_type(): + """When a LogicalType is registered, converter returns its Arrow extension type.""" + arrow_name = f"test.MyCustomClass.{_uuid_module.uuid4().hex[:8]}" + lt = _make_logical_type_stub(_MyCustomClass, arrow_name) + + registry = LogicalTypeRegistry() + registry.register_logical_type(lt) + + converter = UniversalTypeConverter() + converter._logical_type_registry = registry + + result = converter.python_type_to_arrow_type(_MyCustomClass) + expected_ext = lt.get_arrow_extension_type() + assert result == expected_ext + + +def test_converter_falls_through_for_unregistered_type(): + """If type not in LogicalTypeRegistry, converter falls through to old system (int → int64).""" + registry = LogicalTypeRegistry() + converter = UniversalTypeConverter() + converter._logical_type_registry = registry + + result = converter.python_type_to_arrow_type(int) + assert result == pa.int64() + + +def test_converter_without_registry_unchanged(): + """With no _logical_type_registry set, converter behaves exactly as before.""" + converter = UniversalTypeConverter() + assert converter.python_type_to_arrow_type(str) == pa.large_string() + + +def test_data_context_wires_registry_into_converter(): + """DataContext.__post_init__ wires logical_type_registry into type_converter.""" + from orcapod.contexts import get_default_context + ctx = get_default_context() + assert hasattr(ctx.type_converter, "_logical_type_registry") + assert ctx.type_converter._logical_type_registry is ctx.logical_type_registry From 4f30134098d7fcdfeb384f5926a16050b96e50f1 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 07:18:51 +0000 Subject: [PATCH 086/206] fix(extension_types): add TypeError guard to arrow_type_to_python_type; clean up import order - Arrow_type_to_python_type now mirrors get_arrow_to_python_converter with try/except TypeError guards for unhashable ExtensionType keys - Removed dead second try/except in get_arrow_to_python_converter (unreachable since unhashable types return early before the assignment) - Moved mid-file imports (uuid, polars, LogicalTypeRegistry, make_arrow_extension_type, duplicate UniversalTypeConverter) to the top of test_universal_converter.py Co-Authored-By: Claude Sonnet 4.6 --- .../semantic_types/universal_converter.py | 21 ++++++++++--------- .../test_universal_converter.py | 16 ++++++-------- 2 files changed, 17 insertions(+), 20 deletions(-) diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index 0112984d..6a040170 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -221,14 +221,18 @@ def arrow_type_to_python_type(self, arrow_type: pa.DataType) -> DataType: This is the main entry point for Arrow → Python type conversion. Results are cached for performance. """ - # Check cache first - if arrow_type in self._arrow_to_python_types: - return self._arrow_to_python_types[arrow_type] + try: + if arrow_type in self._arrow_to_python_types: + return self._arrow_to_python_types[arrow_type] + except TypeError: + # ExtensionType instances are not always hashable — skip the cache. + return self._convert_arrow_to_python(arrow_type) - # Convert and cache result python_type = self._convert_arrow_to_python(arrow_type) - self._arrow_to_python_types[arrow_type] = python_type - + try: + self._arrow_to_python_types[arrow_type] = python_type + except TypeError: + pass # Unhashable type — skip caching. return python_type def arrow_schema_to_python_schema(self, arrow_schema: pa.Schema) -> Schema: @@ -411,10 +415,7 @@ def get_arrow_to_python_converter( # Create conversion function converter = self._create_arrow_to_python_converter(arrow_type) - try: - self._arrow_to_python_converters[arrow_type] = converter - except TypeError: - pass # Unhashable type — skip caching. + self._arrow_to_python_converters[arrow_type] = converter return converter diff --git a/tests/test_semantic_types/test_universal_converter.py b/tests/test_semantic_types/test_universal_converter.py index 0c49cb6c..68d2dc46 100644 --- a/tests/test_semantic_types/test_universal_converter.py +++ b/tests/test_semantic_types/test_universal_converter.py @@ -1,12 +1,18 @@ +import uuid as _uuid_module from datetime import datetime, timezone from pathlib import Path from typing import Any, cast import numpy as np +import polars as pl import pyarrow as pa import pytest from orcapod.contexts import get_default_context +from orcapod.extension_types.registry import ( + LogicalTypeRegistry, + make_arrow_extension_type, +) from orcapod.semantic_types import universal_converter from orcapod.semantic_types.universal_converter import UniversalTypeConverter @@ -629,16 +635,6 @@ def test_pyarrow_empty_list_with_null_type(): # ── LogicalTypeRegistry priority tests ─────────────────────────────────────── -import uuid as _uuid_module - -import polars as pl - -from orcapod.extension_types.registry import ( - LogicalTypeRegistry, - make_arrow_extension_type, -) -from orcapod.semantic_types.universal_converter import UniversalTypeConverter - def _make_logical_type_stub(py_type: type, arrow_name: str): """Return a minimal LogicalTypeProtocol conforming stub.""" From 3d4e6c8f65fe64d6b6c5da7da05c30652eed3d8e Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 07:30:02 +0000 Subject: [PATCH 087/206] feat(extension_types): add write-side registration trigger in _FunctionPodBase.__init__ Adds `_trigger_write_side_registration` which is called at pod declaration time to synthesize LogicalTypes for any non-native leaf Python classes in input/output schemas, raising TypeError immediately if no factory matches. Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/core/function_pod.py | 43 +++++ .../test_write_side_registration.py | 179 ++++++++++++++++++ 2 files changed, 222 insertions(+) create mode 100644 tests/test_core/function_pod/test_write_side_registration.py diff --git a/src/orcapod/core/function_pod.py b/src/orcapod/core/function_pod.py index ebc25f69..9fc7a103 100644 --- a/src/orcapod/core/function_pod.py +++ b/src/orcapod/core/function_pod.py @@ -35,6 +35,7 @@ Schema, resolve_concurrency, ) +from orcapod.extension_types.type_utils import _extract_leaf_classes from orcapod.utils import arrow_utils, schema_utils from orcapod.utils.lazy_module import LazyModule @@ -56,6 +57,43 @@ def _executor_supports_concurrent( return executor is not None and executor.supports_concurrent_execution +# Python types that Arrow handles natively — no LogicalType registration needed. +_ARROW_NATIVE_TYPES: frozenset[type] = frozenset({ + int, float, str, bytes, bool, type(None), +}) + + +def _trigger_write_side_registration( + input_schema: Schema, + output_schema: Schema, + registry: object | None, +) -> None: + """Ensure a LogicalType is registered for every non-native leaf class in the schemas. + + Called once at pod declaration time. Recursively unwraps generic annotations + (``list[T]``, ``dict[K, V]``, etc.) to find leaf classes. Skips Arrow-native + types and already-registered types. Raises ``TypeError`` at declaration time + if no factory is registered for a leaf class. + + Args: + input_schema: The pod's input data schema (column name to Python type annotation). + output_schema: The pod's output data schema. + registry: The ``LogicalTypeRegistry`` from the pod's ``DataContext``. + If ``None``, this function is a no-op. + """ + if registry is None: + return + for schema in (input_schema, output_schema): + for annotation in schema.values(): + for leaf_class in _extract_leaf_classes(annotation): + if leaf_class in _ARROW_NATIVE_TYPES: + continue + if registry.get_by_python_type(leaf_class) is not None: + continue # already registered — O(1) cache hit + registry.ensure_logical_type_for_python_class(leaf_class) + # TypeError propagates if no factory matches — intentional hard error + + class _FunctionPodBase(TraceableBase): """Base pod that applies a data function to each input data.""" @@ -74,6 +112,11 @@ def __init__( ) self.tracker_manager = tracker_manager or DEFAULT_TRACKER_MANAGER self._data_function = data_function + _trigger_write_side_registration( + data_function.input_data_schema, + data_function.output_data_schema, + self.data_context.logical_type_registry, + ) def computed_label(self) -> str | None: """Use the data function's canonical name as the default label.""" diff --git a/tests/test_core/function_pod/test_write_side_registration.py b/tests/test_core/function_pod/test_write_side_registration.py new file mode 100644 index 00000000..e2c77c9d --- /dev/null +++ b/tests/test_core/function_pod/test_write_side_registration.py @@ -0,0 +1,179 @@ +"""Tests for write-side LogicalType auto-registration at function pod declaration. + +These tests verify that _FunctionPodBase.__init__ triggers factory synthesis for +any non-native Python types in the pod's input/output schemas, and raises TypeError +at declaration time when no factory is registered. +""" + +from __future__ import annotations + +import uuid as _uuid_module + +import pyarrow as pa +import polars as pl +import pytest + +from orcapod.contexts import get_default_context +from orcapod.contexts.core import DataContext +from orcapod.core.data_function import PythonDataFunction +from orcapod.core.function_pod import FunctionPod +from orcapod.extension_types.protocols import LogicalTypeProtocol +from orcapod.extension_types.registry import ( + LogicalTypeRegistry, + make_arrow_extension_type, +) + + +# ── Helpers ────────────────────────────────────────────────────────────────── + +def _make_test_context(registry: LogicalTypeRegistry) -> DataContext: + """Create a DataContext that uses the given registry.""" + base_ctx = get_default_context() + return DataContext( + context_key="test", + version="test", + description="test", + type_converter=base_ctx.type_converter, + arrow_hasher=base_ctx.arrow_hasher, + semantic_hasher=base_ctx.semantic_hasher, + type_handler_registry=base_ctx.type_handler_registry, + logical_type_registry=registry, + ) + + +def _make_logical_type(py_type: type) -> LogicalTypeProtocol: + """Synthesize a minimal LogicalType for py_type.""" + arrow_name = f"{py_type.__module__}.{py_type.__qualname__}.{_uuid_module.uuid4().hex[:6]}" + ArrowExt = make_arrow_extension_type(arrow_name, pa.large_string()) + + class _PolarsExt(pl.BaseExtension): + def __init__(self): + super().__init__(arrow_name, pl.String, None) + @classmethod + def ext_from_params(cls, ext_name, storage_dtype, metadata_str): + return cls() + + class _LT: + logical_type_name = arrow_name + python_type = py_type + def get_arrow_extension_type(self): return ArrowExt() + def get_polars_extension_type(self): return _PolarsExt() + def python_to_storage(self, v): return str(v) + def storage_to_python(self, v): return v + + return _LT() + + +def _make_registry_with_factory(target_base: type) -> tuple[LogicalTypeRegistry, list[type]]: + """Return a registry with a factory for target_base and a call log.""" + call_log: list[type] = [] + + class _Factory: + def reconstruct_from_arrow(self, name, storage, meta): + return _make_logical_type(object) + + def create_for_python_type(self, python_type): + call_log.append(python_type) + return _make_logical_type(python_type) + + registry = LogicalTypeRegistry() + registry.register_logical_type_factory(_Factory(), python_bases=[target_base]) + return registry, call_log + + +# ── Custom classes used in tests ───────────────────────────────────────────── + +class _MyBase: + pass + + +class _MyChild(_MyBase): + pass + + +# ── Tests ──────────────────────────────────────────────────────────────────── + +def test_pod_declaration_triggers_factory_for_unregistered_class(): + """Declaring a FunctionPod with an unregistered type causes factory synthesis.""" + registry, call_log = _make_registry_with_factory(_MyBase) + ctx = _make_test_context(registry) + + def my_func(x: _MyChild) -> str: + return str(x) + + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + assert _MyChild in call_log + assert registry.get_by_python_type(_MyChild) is not None + + +def test_pod_declaration_with_nested_list_type(): + """list[_MyChild] in the schema causes factory synthesis for _MyChild.""" + registry, call_log = _make_registry_with_factory(_MyBase) + ctx = _make_test_context(registry) + + def my_func(items: list[_MyChild]) -> str: + return "" + + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + assert _MyChild in call_log + + +def test_pod_declaration_native_types_no_factory_call(): + """Pods using only native types (int, str, etc.) never trigger factory lookup.""" + + class _NeverCalledFactory: + def reconstruct_from_arrow(self, *a): ... + def create_for_python_type(self, pt): + raise AssertionError(f"factory called for {pt!r}") + + registry = LogicalTypeRegistry() + registry.register_logical_type_factory(_NeverCalledFactory(), python_bases=[object]) + ctx = _make_test_context(registry) + + def my_func(x: int, y: str) -> float: + return 0.0 + + # Should not raise — int, str, float are native + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + + +def test_pod_declaration_raises_type_error_for_unhandled_class(): + """Pod with a type that has no registered factory raises TypeError at declaration.""" + registry = LogicalTypeRegistry() # empty — no factories + ctx = _make_test_context(registry) + + def my_func(x: _MyChild) -> str: + return "" + + with pytest.raises(TypeError, match="No LogicalType or LogicalTypeFactory"): + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + + +def test_pod_declaration_already_registered_type_no_factory_call(): + """Pre-registered types are not passed to the factory.""" + registry, call_log = _make_registry_with_factory(_MyBase) + # Pre-register _MyChild directly + registry.register_logical_type(_make_logical_type(_MyChild)) + ctx = _make_test_context(registry) + + def my_func(x: _MyChild) -> str: + return "" + + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + # Factory was NOT called — _MyChild was already registered + assert _MyChild not in call_log From 4dfdf54aca84bf6942fa323d49b5e9e36c589d0c Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 07:35:19 +0000 Subject: [PATCH 088/206] fix(extension_types): use fresh UniversalTypeConverter in test_write_side_registration to avoid global state mutation --- .../function_pod/test_write_side_registration.py | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/tests/test_core/function_pod/test_write_side_registration.py b/tests/test_core/function_pod/test_write_side_registration.py index e2c77c9d..cd85487e 100644 --- a/tests/test_core/function_pod/test_write_side_registration.py +++ b/tests/test_core/function_pod/test_write_side_registration.py @@ -22,18 +22,29 @@ LogicalTypeRegistry, make_arrow_extension_type, ) +from orcapod.semantic_types.universal_converter import UniversalTypeConverter # ── Helpers ────────────────────────────────────────────────────────────────── def _make_test_context(registry: LogicalTypeRegistry) -> DataContext: - """Create a DataContext that uses the given registry.""" + """Create a DataContext with a fresh converter so the global default is not mutated. + + Re-using the default context's ``type_converter`` singleton would cause + ``DataContext.__post_init__`` to overwrite its ``_logical_type_registry`` + to point to the test registry, corrupting global converter state for + subsequently-run tests. + """ base_ctx = get_default_context() + # Fresh converter so we don't mutate the module-level singleton. + fresh_converter = UniversalTypeConverter( + semantic_registry=base_ctx.type_converter.semantic_registry, + ) return DataContext( context_key="test", version="test", description="test", - type_converter=base_ctx.type_converter, + type_converter=fresh_converter, arrow_hasher=base_ctx.arrow_hasher, semantic_hasher=base_ctx.semantic_hasher, type_handler_registry=base_ctx.type_handler_registry, From 82285f2c58a880e15c7c779d30b64dd13f85563c Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 07:44:19 +0000 Subject: [PATCH 089/206] fix(extension_types): add typing.Any to _ARROW_NATIVE_TYPES; use TYPE_CHECKING for LogicalTypeRegistry annotation --- src/orcapod/core/function_pod.py | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/src/orcapod/core/function_pod.py b/src/orcapod/core/function_pod.py index 9fc7a103..acc669ae 100644 --- a/src/orcapod/core/function_pod.py +++ b/src/orcapod/core/function_pod.py @@ -6,6 +6,7 @@ from collections.abc import Callable, Collection, Iterator, Sequence from functools import wraps from typing import TYPE_CHECKING, Any, Protocol, cast +import typing as _typing from orcapod import contexts from orcapod.channels import ReadableChannel, WritableChannel @@ -44,6 +45,7 @@ if TYPE_CHECKING: import polars as pl import pyarrow as pa + from orcapod.extension_types.registry import LogicalTypeRegistry else: pa = LazyModule("pyarrow") pl = LazyModule("polars") @@ -58,15 +60,17 @@ def _executor_supports_concurrent( # Python types that Arrow handles natively — no LogicalType registration needed. -_ARROW_NATIVE_TYPES: frozenset[type] = frozenset({ - int, float, str, bytes, bool, type(None), +# typing.Any is included because it is a valid "unknown element type" annotation +# (e.g. list[Any]) that maps directly to pa.null() without extension type dispatch. +_ARROW_NATIVE_TYPES: frozenset = frozenset({ + int, float, str, bytes, bool, type(None), _typing.Any, }) def _trigger_write_side_registration( input_schema: Schema, output_schema: Schema, - registry: object | None, + registry: LogicalTypeRegistry | None, ) -> None: """Ensure a LogicalType is registered for every non-native leaf class in the schemas. From ed1d858da952a05fedac7840f6b50955bd8d9eb6 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 08:00:40 +0000 Subject: [PATCH 090/206] fix(extension_types): derive arrow native types lazily from _get_python_to_arrow_map Replace static _ARROW_NATIVE_TYPES frozenset with a lazy _get_arrow_native_type_keys() function that builds the skip-set from _get_python_to_arrow_map() at first call. This ensures datetime.datetime, numpy types, and any future built-in mappings are automatically excluded from write-side LogicalType registration without hard-coding them. Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/core/function_pod.py | 28 +++++++++++++++++++++------- 1 file changed, 21 insertions(+), 7 deletions(-) diff --git a/src/orcapod/core/function_pod.py b/src/orcapod/core/function_pod.py index acc669ae..b61afb4e 100644 --- a/src/orcapod/core/function_pod.py +++ b/src/orcapod/core/function_pod.py @@ -6,7 +6,6 @@ from collections.abc import Callable, Collection, Iterator, Sequence from functools import wraps from typing import TYPE_CHECKING, Any, Protocol, cast -import typing as _typing from orcapod import contexts from orcapod.channels import ReadableChannel, WritableChannel @@ -60,11 +59,26 @@ def _executor_supports_concurrent( # Python types that Arrow handles natively — no LogicalType registration needed. -# typing.Any is included because it is a valid "unknown element type" annotation -# (e.g. list[Any]) that maps directly to pa.null() without extension type dispatch. -_ARROW_NATIVE_TYPES: frozenset = frozenset({ - int, float, str, bytes, bool, type(None), _typing.Any, -}) +# Built lazily from UniversalTypeConverter._get_python_to_arrow_map() so that +# datetime.datetime, numpy types, and any future additions are captured automatically. +_ARROW_NATIVE_TYPE_KEYS: frozenset | None = None + + +def _get_arrow_native_type_keys() -> frozenset: + """Return the set of Python types that UniversalTypeConverter handles natively. + + Derived lazily from ``_get_python_to_arrow_map()`` so that datetime, numpy, + and other built-in mappings are captured without hard-coding them here. + ``type(None)`` is always included because ``NoneType`` is produced by + ``Optional[T]`` unwrapping but may not appear as a key in the map. + """ + global _ARROW_NATIVE_TYPE_KEYS + if _ARROW_NATIVE_TYPE_KEYS is None: + from orcapod.semantic_types.universal_converter import _get_python_to_arrow_map # noqa: PLC0415 + _ARROW_NATIVE_TYPE_KEYS = frozenset( + k for k in _get_python_to_arrow_map() if isinstance(k, type) + ) | {type(None)} + return _ARROW_NATIVE_TYPE_KEYS def _trigger_write_side_registration( @@ -90,7 +104,7 @@ def _trigger_write_side_registration( for schema in (input_schema, output_schema): for annotation in schema.values(): for leaf_class in _extract_leaf_classes(annotation): - if leaf_class in _ARROW_NATIVE_TYPES: + if leaf_class in _get_arrow_native_type_keys(): continue if registry.get_by_python_type(leaf_class) is not None: continue # already registered — O(1) cache hit From c635885183c94c34aa0e0e39b16817fb9749a1ef Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 08:30:25 +0000 Subject: [PATCH 091/206] refactor(extension_types): address PR review feedback - UniversalTypeConverter: add logical_type_registry constructor param; remove reliance on DataContext.__post_init__ side-effect injection - DataContext: remove __post_init__ since wiring now happens at construction - v0.1.json: move logical_type_registry before type_converter and pass it via _ref so the relationship is expressed in the object spec - _ensure_types_registered_for_schemas: rename from _trigger_write_side_registration, accept *schemas variadic, cache native_keys locally, combine two if conditions - test_write_side_registration: add tests for output-only, complex nesting (dict[str, list[T]], Optional[T]), two-class combos (input+output, both-in, both-out), three-class mixed scenarios, and nested TypeError case - test_universal_converter: use LogicalTypeRegistry constructor param instead of post-construction attribute assignment Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/contexts/core.py | 11 - src/orcapod/contexts/data/v0.1.json | 41 ++-- src/orcapod/core/function_pod.py | 31 ++- .../semantic_types/universal_converter.py | 7 +- .../test_write_side_registration.py | 225 ++++++++++++++++-- .../test_universal_converter.py | 12 +- 6 files changed, 259 insertions(+), 68 deletions(-) diff --git a/src/orcapod/contexts/core.py b/src/orcapod/contexts/core.py index 41dd54fa..428d031f 100644 --- a/src/orcapod/contexts/core.py +++ b/src/orcapod/contexts/core.py @@ -45,17 +45,6 @@ class DataContext: type_handler_registry: TypeHandlerRegistry logical_type_registry: LogicalTypeRegistry - def __post_init__(self) -> None: - """Wire components together after dataclass construction. - - Injects ``logical_type_registry`` into ``type_converter`` so that - registered ``LogicalType`` instances take priority over the old - shape-based ``semantic_registry`` at encoding time. - """ - if hasattr(self.type_converter, "_logical_type_registry"): - self.type_converter._logical_type_registry = self.logical_type_registry - - class ContextValidationError(Exception): """Raised when context validation fails.""" diff --git a/src/orcapod/contexts/data/v0.1.json b/src/orcapod/contexts/data/v0.1.json index e47d793b..bd530d70 100644 --- a/src/orcapod/contexts/data/v0.1.json +++ b/src/orcapod/contexts/data/v0.1.json @@ -36,11 +36,33 @@ } } }, + "logical_type_registry": { + "_class": "orcapod.extension_types.registry.LogicalTypeRegistry", + "_config": { + "logical_types": [ + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUUID", + "_config": {} + } + ] + } + }, "type_converter": { "_class": "orcapod.semantic_types.universal_converter.UniversalTypeConverter", "_config": { "semantic_registry": { "_ref": "semantic_registry" + }, + "logical_type_registry": { + "_ref": "logical_type_registry" } } }, @@ -82,25 +104,6 @@ } } }, - "logical_type_registry": { - "_class": "orcapod.extension_types.registry.LogicalTypeRegistry", - "_config": { - "logical_types": [ - { - "_class": "orcapod.extension_types.builtin_logical_types.LogicalPath", - "_config": {} - }, - { - "_class": "orcapod.extension_types.builtin_logical_types.LogicalUPath", - "_config": {} - }, - { - "_class": "orcapod.extension_types.builtin_logical_types.LogicalUUID", - "_config": {} - } - ] - } - }, "metadata": { "created_date": "2025-08-01", "author": "OrcaPod Core Team", diff --git a/src/orcapod/core/function_pod.py b/src/orcapod/core/function_pod.py index b61afb4e..60fab320 100644 --- a/src/orcapod/core/function_pod.py +++ b/src/orcapod/core/function_pod.py @@ -81,33 +81,32 @@ def _get_arrow_native_type_keys() -> frozenset: return _ARROW_NATIVE_TYPE_KEYS -def _trigger_write_side_registration( - input_schema: Schema, - output_schema: Schema, +def _ensure_types_registered_for_schemas( + *schemas: Schema, registry: LogicalTypeRegistry | None, ) -> None: """Ensure a LogicalType is registered for every non-native leaf class in the schemas. - Called once at pod declaration time. Recursively unwraps generic annotations - (``list[T]``, ``dict[K, V]``, etc.) to find leaf classes. Skips Arrow-native - types and already-registered types. Raises ``TypeError`` at declaration time - if no factory is registered for a leaf class. + Generic utility that can be called with any number of ``Schema`` objects. + Recursively unwraps generic annotations (``list[T]``, ``dict[K, V]``, etc.) + to find leaf classes. Skips Arrow-native types and already-registered types. + Raises ``TypeError`` at the call site if no factory is registered for a leaf + class. Args: - input_schema: The pod's input data schema (column name to Python type annotation). - output_schema: The pod's output data schema. - registry: The ``LogicalTypeRegistry`` from the pod's ``DataContext``. + *schemas: One or more ``Schema`` mappings (column name → Python type + annotation) to inspect. + registry: The ``LogicalTypeRegistry`` used for lookup and synthesis. If ``None``, this function is a no-op. """ if registry is None: return - for schema in (input_schema, output_schema): + native_keys = _get_arrow_native_type_keys() + for schema in schemas: for annotation in schema.values(): for leaf_class in _extract_leaf_classes(annotation): - if leaf_class in _get_arrow_native_type_keys(): + if leaf_class in native_keys or registry.get_by_python_type(leaf_class) is not None: continue - if registry.get_by_python_type(leaf_class) is not None: - continue # already registered — O(1) cache hit registry.ensure_logical_type_for_python_class(leaf_class) # TypeError propagates if no factory matches — intentional hard error @@ -130,10 +129,10 @@ def __init__( ) self.tracker_manager = tracker_manager or DEFAULT_TRACKER_MANAGER self._data_function = data_function - _trigger_write_side_registration( + _ensure_types_registered_for_schemas( data_function.input_data_schema, data_function.output_data_schema, - self.data_context.logical_type_registry, + registry=self.data_context.logical_type_registry, ) def computed_label(self) -> str | None: diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index 6a040170..1669f997 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -29,6 +29,7 @@ if TYPE_CHECKING: import pyarrow as pa + from orcapod.extension_types.registry import LogicalTypeRegistry else: pa = LazyModule("pyarrow") @@ -150,6 +151,7 @@ def __init__( self, semantic_registry: SemanticTypeRegistry | None = None, datetime_timezone: typing.Literal["strict", "coerce_utc"] = "strict", + logical_type_registry: "LogicalTypeRegistry | None" = None, ): """ Args: @@ -163,9 +165,13 @@ def __init__( ``"coerce_utc"`` — silently attach ``timezone.utc`` to naive datetimes before writing to Arrow. Use this when you know that all naive datetimes in your data represent UTC. + logical_type_registry: Optional registry of ``LogicalType`` instances. + When provided, extension-type identity takes priority over the + shape-based ``semantic_registry`` at encoding time. """ self.semantic_registry = semantic_registry self._datetime_timezone = datetime_timezone + self._logical_type_registry = logical_type_registry # Cache for created TypedDict classes self._struct_signature_to_typeddict: dict[pa.StructType, DataType] = {} @@ -180,7 +186,6 @@ def __init__( self._python_to_arrow_types: dict[DataType, pa.DataType] = {} self._arrow_to_python_types: dict[pa.DataType, DataType] = {} self._dataclass_lookup_cache: dict[str, type] = {} - self._logical_type_registry = None # set by DataContext.__post_init__ def python_type_to_arrow_type(self, python_type: DataType) -> pa.DataType: """ diff --git a/tests/test_core/function_pod/test_write_side_registration.py b/tests/test_core/function_pod/test_write_side_registration.py index cd85487e..f250d9b7 100644 --- a/tests/test_core/function_pod/test_write_side_registration.py +++ b/tests/test_core/function_pod/test_write_side_registration.py @@ -8,6 +8,7 @@ from __future__ import annotations import uuid as _uuid_module +from typing import Optional import pyarrow as pa import polars as pl @@ -28,17 +29,15 @@ # ── Helpers ────────────────────────────────────────────────────────────────── def _make_test_context(registry: LogicalTypeRegistry) -> DataContext: - """Create a DataContext with a fresh converter so the global default is not mutated. + """Create a DataContext with a fresh converter bound to the given registry. - Re-using the default context's ``type_converter`` singleton would cause - ``DataContext.__post_init__`` to overwrite its ``_logical_type_registry`` - to point to the test registry, corrupting global converter state for - subsequently-run tests. + A fresh ``UniversalTypeConverter`` is constructed with ``logical_type_registry`` + set at construction time, which is the canonical way to bind the two objects. """ base_ctx = get_default_context() - # Fresh converter so we don't mutate the module-level singleton. fresh_converter = UniversalTypeConverter( semantic_registry=base_ctx.type_converter.semantic_registry, + logical_type_registry=registry, ) return DataContext( context_key="test", @@ -75,8 +74,8 @@ def storage_to_python(self, v): return v return _LT() -def _make_registry_with_factory(target_base: type) -> tuple[LogicalTypeRegistry, list[type]]: - """Return a registry with a factory for target_base and a call log.""" +def _make_registry_with_factory(*target_bases: type) -> tuple[LogicalTypeRegistry, list[type]]: + """Return a registry with a factory covering all target_bases and a call log.""" call_log: list[type] = [] class _Factory: @@ -88,7 +87,7 @@ def create_for_python_type(self, python_type): return _make_logical_type(python_type) registry = LogicalTypeRegistry() - registry.register_logical_type_factory(_Factory(), python_bases=[target_base]) + registry.register_logical_type_factory(_Factory(), python_bases=list(target_bases)) return registry, call_log @@ -102,10 +101,26 @@ class _MyChild(_MyBase): pass -# ── Tests ──────────────────────────────────────────────────────────────────── +class _MyOtherBase: + pass + + +class _MyOtherChild(_MyOtherBase): + pass + + +class _ThirdBase: + pass + + +class _ThirdChild(_ThirdBase): + pass + -def test_pod_declaration_triggers_factory_for_unregistered_class(): - """Declaring a FunctionPod with an unregistered type causes factory synthesis.""" +# ── Basic triggering tests ──────────────────────────────────────────────────── + +def test_pod_declaration_triggers_factory_for_input_type(): + """Declaring a FunctionPod with a custom input type causes factory synthesis.""" registry, call_log = _make_registry_with_factory(_MyBase) ctx = _make_test_context(registry) @@ -120,8 +135,26 @@ def my_func(x: _MyChild) -> str: assert registry.get_by_python_type(_MyChild) is not None -def test_pod_declaration_with_nested_list_type(): - """list[_MyChild] in the schema causes factory synthesis for _MyChild.""" +def test_pod_declaration_triggers_factory_for_output_type(): + """Declaring a FunctionPod with a custom output type causes factory synthesis.""" + registry, call_log = _make_registry_with_factory(_MyBase) + ctx = _make_test_context(registry) + + def my_func(x: int) -> _MyChild: + return _MyChild() + + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + assert _MyChild in call_log + assert registry.get_by_python_type(_MyChild) is not None + + +# ── Complex / nested type tests ─────────────────────────────────────────────── + +def test_pod_declaration_with_nested_list_input(): + """list[_MyChild] in a function input causes factory synthesis for _MyChild.""" registry, call_log = _make_registry_with_factory(_MyBase) ctx = _make_test_context(registry) @@ -135,6 +168,155 @@ def my_func(items: list[_MyChild]) -> str: assert _MyChild in call_log +def test_pod_declaration_with_doubly_nested_input(): + """dict[str, list[_MyChild]] causes factory synthesis for _MyChild.""" + registry, call_log = _make_registry_with_factory(_MyBase) + ctx = _make_test_context(registry) + + def my_func(mapping: dict[str, list[_MyChild]]) -> str: + return "" + + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + assert _MyChild in call_log + + +def test_pod_declaration_with_optional_input(): + """Optional[_MyChild] causes factory synthesis for _MyChild.""" + registry, call_log = _make_registry_with_factory(_MyBase) + ctx = _make_test_context(registry) + + def my_func(x: Optional[_MyChild]) -> str: + return "" + + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + assert _MyChild in call_log + + +def test_pod_declaration_with_complex_output(): + """list[_MyChild] in the output schema causes factory synthesis.""" + registry, call_log = _make_registry_with_factory(_MyBase) + ctx = _make_test_context(registry) + + def my_func(x: str) -> list[_MyChild]: + return [] + + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + assert _MyChild in call_log + + +def test_pod_declaration_with_doubly_nested_output(): + """dict[str, list[_MyChild]] in the output causes factory synthesis for _MyChild.""" + registry, call_log = _make_registry_with_factory(_MyBase) + ctx = _make_test_context(registry) + + def my_func(x: int) -> dict[str, list[_MyChild]]: + return {} + + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + assert _MyChild in call_log + + +# ── Multi-class tests ───────────────────────────────────────────────────────── + +def test_pod_declaration_two_classes_one_in_input_one_in_output(): + """Two different custom classes — one in input, one in output — each gets synthesized.""" + registry, call_log = _make_registry_with_factory(_MyBase, _MyOtherBase) + ctx = _make_test_context(registry) + + def my_func(x: _MyChild) -> _MyOtherChild: + return _MyOtherChild() + + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + assert _MyChild in call_log + assert _MyOtherChild in call_log + + +def test_pod_declaration_two_classes_both_in_input(): + """Two different custom classes both as inputs each get synthesized.""" + registry, call_log = _make_registry_with_factory(_MyBase, _MyOtherBase) + ctx = _make_test_context(registry) + + def my_func(x: _MyChild, y: _MyOtherChild) -> str: + return "" + + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + assert _MyChild in call_log + assert _MyOtherChild in call_log + + +def test_pod_declaration_two_classes_both_in_output(): + """Two different custom classes both as outputs each get synthesized.""" + registry, call_log = _make_registry_with_factory(_MyBase, _MyOtherBase) + ctx = _make_test_context(registry) + + def my_func(x: int) -> tuple[_MyChild, _MyOtherChild]: + return _MyChild(), _MyOtherChild() + + FunctionPod( + data_function=PythonDataFunction( + my_func, + output_keys=["first", "second"], + ), + data_context=ctx, + ) + assert _MyChild in call_log + assert _MyOtherChild in call_log + + +def test_pod_declaration_three_classes_mixed(): + """Three custom classes spread across input and output each get synthesized.""" + registry, call_log = _make_registry_with_factory(_MyBase, _MyOtherBase, _ThirdBase) + ctx = _make_test_context(registry) + + def my_func(a: _MyChild, b: list[_MyOtherChild]) -> _ThirdChild: + return _ThirdChild() + + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + assert _MyChild in call_log + assert _MyOtherChild in call_log + assert _ThirdChild in call_log + + +def test_pod_declaration_three_classes_all_in_input(): + """Three custom classes all in input parameters each get synthesized.""" + registry, call_log = _make_registry_with_factory(_MyBase, _MyOtherBase, _ThirdBase) + ctx = _make_test_context(registry) + + def my_func(a: _MyChild, b: _MyOtherChild, c: _ThirdChild) -> str: + return "" + + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + assert _MyChild in call_log + assert _MyOtherChild in call_log + assert _ThirdChild in call_log + + +# ── Skip / guard tests ──────────────────────────────────────────────────────── + def test_pod_declaration_native_types_no_factory_call(): """Pods using only native types (int, str, etc.) never trigger factory lookup.""" @@ -172,6 +354,21 @@ def my_func(x: _MyChild) -> str: ) +def test_pod_declaration_raises_for_nested_unhandled_class(): + """TypeError is raised even when the custom type is nested inside list[T].""" + registry = LogicalTypeRegistry() # empty — no factories + ctx = _make_test_context(registry) + + def my_func(items: list[_MyChild]) -> str: + return "" + + with pytest.raises(TypeError, match="No LogicalType or LogicalTypeFactory"): + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + + def test_pod_declaration_already_registered_type_no_factory_call(): """Pre-registered types are not passed to the factory.""" registry, call_log = _make_registry_with_factory(_MyBase) diff --git a/tests/test_semantic_types/test_universal_converter.py b/tests/test_semantic_types/test_universal_converter.py index 68d2dc46..07b52966 100644 --- a/tests/test_semantic_types/test_universal_converter.py +++ b/tests/test_semantic_types/test_universal_converter.py @@ -678,8 +678,7 @@ def test_converter_uses_logical_type_registry_for_registered_type(): registry = LogicalTypeRegistry() registry.register_logical_type(lt) - converter = UniversalTypeConverter() - converter._logical_type_registry = registry + converter = UniversalTypeConverter(logical_type_registry=registry) result = converter.python_type_to_arrow_type(_MyCustomClass) expected_ext = lt.get_arrow_extension_type() @@ -689,21 +688,20 @@ def test_converter_uses_logical_type_registry_for_registered_type(): def test_converter_falls_through_for_unregistered_type(): """If type not in LogicalTypeRegistry, converter falls through to old system (int → int64).""" registry = LogicalTypeRegistry() - converter = UniversalTypeConverter() - converter._logical_type_registry = registry + converter = UniversalTypeConverter(logical_type_registry=registry) result = converter.python_type_to_arrow_type(int) assert result == pa.int64() def test_converter_without_registry_unchanged(): - """With no _logical_type_registry set, converter behaves exactly as before.""" + """With no logical_type_registry, converter behaves exactly as before.""" converter = UniversalTypeConverter() assert converter.python_type_to_arrow_type(str) == pa.large_string() -def test_data_context_wires_registry_into_converter(): - """DataContext.__post_init__ wires logical_type_registry into type_converter.""" +def test_data_context_type_converter_holds_logical_type_registry(): + """DataContext's type_converter is constructed with the same logical_type_registry.""" from orcapod.contexts import get_default_context ctx = get_default_context() assert hasattr(ctx.type_converter, "_logical_type_registry") From 9b182fa68bddd022c0d457d06194e827f74e0350 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 08:34:07 +0000 Subject: [PATCH 092/206] refactor(extension_types): remove _extract_leaf_classes from package public surface MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The helper is a private implementation detail imported directly from extension_types.type_utils by function_pod.py. Exporting a private-named symbol from __init__.py was incorrect — removed the re-export and __all__ entry. Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/__init__.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index 5de997d1..8447405e 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -17,7 +17,6 @@ from .registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema from .database_hooks import apply_extension_types, register_discovered_extensions -from .type_utils import _extract_leaf_classes __all__ = [ "LogicalTypeProtocol", @@ -32,6 +31,4 @@ # PLT-1655 "register_discovered_extensions", "apply_extension_types", - # PLT-1672 - "_extract_leaf_classes", ] From df1ee6d34a2523ac9469fc138716855c70fa28b0 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 09:07:40 +0000 Subject: [PATCH 093/206] fix(extension_types): tighten frozenset annotation and guard registry lookups - _ARROW_NATIVE_TYPE_KEYS / _get_arrow_native_type_keys: annotate as frozenset[type] to make element type explicit - _convert_python_to_arrow / _create_python_to_arrow_converter: guard get_by_python_type with isinstance(python_type, type) so generic aliases and union types (list[T], Optional[T], etc.) skip the concrete-class registry lookup Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/core/function_pod.py | 4 ++-- src/orcapod/semantic_types/universal_converter.py | 12 ++++++++---- 2 files changed, 10 insertions(+), 6 deletions(-) diff --git a/src/orcapod/core/function_pod.py b/src/orcapod/core/function_pod.py index 60fab320..455dd889 100644 --- a/src/orcapod/core/function_pod.py +++ b/src/orcapod/core/function_pod.py @@ -61,10 +61,10 @@ def _executor_supports_concurrent( # Python types that Arrow handles natively — no LogicalType registration needed. # Built lazily from UniversalTypeConverter._get_python_to_arrow_map() so that # datetime.datetime, numpy types, and any future additions are captured automatically. -_ARROW_NATIVE_TYPE_KEYS: frozenset | None = None +_ARROW_NATIVE_TYPE_KEYS: frozenset[type] | None = None -def _get_arrow_native_type_keys() -> frozenset: +def _get_arrow_native_type_keys() -> frozenset[type]: """Return the set of Python types that UniversalTypeConverter handles natively. Derived lazily from ``_get_python_to_arrow_map()`` so that datetime, numpy, diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index 1669f997..c73b791c 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -431,8 +431,10 @@ def _convert_python_to_arrow(self, python_type: DataType) -> pa.DataType: if python_type in type_map: return type_map[python_type] - # Check LogicalTypeRegistry — extension-type identity takes priority over shape-based system - if self._logical_type_registry is not None: + # Check LogicalTypeRegistry — extension-type identity takes priority over shape-based system. + # Guard with isinstance(…, type) because get_by_python_type is keyed on concrete classes; + # generic aliases (list[T], Optional[T], etc.) will never be registered there. + if self._logical_type_registry is not None and isinstance(python_type, type): lt = self._logical_type_registry.get_by_python_type(python_type) if lt is not None: return lt.get_arrow_extension_type() @@ -773,8 +775,10 @@ def _create_python_to_arrow_converter( ) -> Callable[[Any], Any]: """Create a cached conversion function for Python → Arrow values.""" - # Check LogicalTypeRegistry first — extension-type identity takes priority - if self._logical_type_registry is not None: + # Check LogicalTypeRegistry first — extension-type identity takes priority. + # Guard with isinstance(…, type) because get_by_python_type is keyed on concrete classes; + # generic aliases (list[T], Optional[T], etc.) will never be registered there. + if self._logical_type_registry is not None and isinstance(python_type, type): lt = self._logical_type_registry.get_by_python_type(python_type) if lt is not None: return lt.python_to_storage From c7310ddea42f8dee977137afb46902aa6bf3ef2c Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 20:36:35 +0000 Subject: [PATCH 094/206] refactor(extension_types): address eywalker review round 2 MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Rename _extract_leaf_classes → extract_leaf_classes (public API) - Move native-type lookup to UniversalTypeConverter.get_native_python_types() classmethod with module-level cache; remove from function_pod.py - Move _ensure_types_registered_for_schemas to LogicalTypeRegistry.ensure_types_registered_for_schemas(); update call site in _FunctionPodBase.__init__ - Document that a single factory can cover multiple python_bases in register_logical_type_factory docstring - Add inline idempotency comments to the two "if existing is not factory" guards in register_logical_type_factory - Drop redundant quotes from LogicalTypeRegistry | None annotation in UniversalTypeConverter.__init__ (from __future__ import annotations covers it) - Replace inline _PolarsExt class in _make_logical_type test helper with make_polars_extension_type (the existing public helper) - Add test_pod_declaration_with_union_none_syntax covering X | None new-style union syntax (types.UnionType, Python 3.10+) --- src/orcapod/core/function_pod.py | 57 +------------------ src/orcapod/extension_types/registry.py | 48 +++++++++++++++- src/orcapod/extension_types/type_utils.py | 19 ++++--- .../semantic_types/universal_converter.py | 28 ++++++++- .../test_write_side_registration.py | 34 ++++++++--- tests/test_extension_types/test_type_utils.py | 24 ++++---- 6 files changed, 121 insertions(+), 89 deletions(-) diff --git a/src/orcapod/core/function_pod.py b/src/orcapod/core/function_pod.py index 455dd889..dd5f4fea 100644 --- a/src/orcapod/core/function_pod.py +++ b/src/orcapod/core/function_pod.py @@ -35,7 +35,6 @@ Schema, resolve_concurrency, ) -from orcapod.extension_types.type_utils import _extract_leaf_classes from orcapod.utils import arrow_utils, schema_utils from orcapod.utils.lazy_module import LazyModule @@ -44,7 +43,6 @@ if TYPE_CHECKING: import polars as pl import pyarrow as pa - from orcapod.extension_types.registry import LogicalTypeRegistry else: pa = LazyModule("pyarrow") pl = LazyModule("polars") @@ -58,58 +56,6 @@ def _executor_supports_concurrent( return executor is not None and executor.supports_concurrent_execution -# Python types that Arrow handles natively — no LogicalType registration needed. -# Built lazily from UniversalTypeConverter._get_python_to_arrow_map() so that -# datetime.datetime, numpy types, and any future additions are captured automatically. -_ARROW_NATIVE_TYPE_KEYS: frozenset[type] | None = None - - -def _get_arrow_native_type_keys() -> frozenset[type]: - """Return the set of Python types that UniversalTypeConverter handles natively. - - Derived lazily from ``_get_python_to_arrow_map()`` so that datetime, numpy, - and other built-in mappings are captured without hard-coding them here. - ``type(None)`` is always included because ``NoneType`` is produced by - ``Optional[T]`` unwrapping but may not appear as a key in the map. - """ - global _ARROW_NATIVE_TYPE_KEYS - if _ARROW_NATIVE_TYPE_KEYS is None: - from orcapod.semantic_types.universal_converter import _get_python_to_arrow_map # noqa: PLC0415 - _ARROW_NATIVE_TYPE_KEYS = frozenset( - k for k in _get_python_to_arrow_map() if isinstance(k, type) - ) | {type(None)} - return _ARROW_NATIVE_TYPE_KEYS - - -def _ensure_types_registered_for_schemas( - *schemas: Schema, - registry: LogicalTypeRegistry | None, -) -> None: - """Ensure a LogicalType is registered for every non-native leaf class in the schemas. - - Generic utility that can be called with any number of ``Schema`` objects. - Recursively unwraps generic annotations (``list[T]``, ``dict[K, V]``, etc.) - to find leaf classes. Skips Arrow-native types and already-registered types. - Raises ``TypeError`` at the call site if no factory is registered for a leaf - class. - - Args: - *schemas: One or more ``Schema`` mappings (column name → Python type - annotation) to inspect. - registry: The ``LogicalTypeRegistry`` used for lookup and synthesis. - If ``None``, this function is a no-op. - """ - if registry is None: - return - native_keys = _get_arrow_native_type_keys() - for schema in schemas: - for annotation in schema.values(): - for leaf_class in _extract_leaf_classes(annotation): - if leaf_class in native_keys or registry.get_by_python_type(leaf_class) is not None: - continue - registry.ensure_logical_type_for_python_class(leaf_class) - # TypeError propagates if no factory matches — intentional hard error - class _FunctionPodBase(TraceableBase): """Base pod that applies a data function to each input data.""" @@ -129,10 +75,9 @@ def __init__( ) self.tracker_manager = tracker_manager or DEFAULT_TRACKER_MANAGER self._data_function = data_function - _ensure_types_registered_for_schemas( + self.data_context.logical_type_registry.ensure_types_registered_for_schemas( data_function.input_data_schema, data_function.output_data_schema, - registry=self.data_context.logical_type_registry, ) def computed_label(self) -> str | None: diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 9269825b..60345df7 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -12,6 +12,8 @@ from typing import TYPE_CHECKING, Iterable from orcapod.extension_types.protocols import LogicalTypeProtocol, LogicalTypeFactoryProtocol +from orcapod.extension_types.type_utils import extract_leaf_classes +from orcapod.types import Schema from orcapod.utils.lazy_module import LazyModule if TYPE_CHECKING: @@ -299,6 +301,9 @@ def register_logical_type_factory( ) -> None: """Register a factory on one or both dispatch axes. + A single factory instance can be registered for multiple ``python_bases`` + at once — pass a list with all the base classes it should handle. + Args: factory: The factory to register. category: If given, registers factory as the read-side handler for Arrow @@ -306,8 +311,9 @@ def register_logical_type_factory( ``ValueError`` if a different factory is already registered for this category. python_bases: Zero or more Python base classes. Registers factory as the - write-side handler for each. Raises ``ValueError`` if a different - factory is already registered for a given base. + write-side handler for each base. A single factory may cover any + number of bases. Raises ``ValueError`` if a *different* factory is + already registered for a given base. Raises: ValueError: If neither ``category`` nor ``python_bases`` is provided. @@ -325,6 +331,7 @@ def register_logical_type_factory( f"Cannot register factory for category {category!r}: " f"a different factory is already registered for this category." ) + # Skip registration if this exact factory object is already bound to the category. if existing is not factory: self._category_factories[category] = factory logger.debug( @@ -339,6 +346,8 @@ def register_logical_type_factory( f"a different factory is already registered for this base." ) for base in python_bases_list: + # Skip if this exact factory object is already bound to the base class + # (idempotent re-registration of the same factory is always a no-op). if self._python_class_factories.get(base) is not factory: self._python_class_factories[base] = factory logger.debug( @@ -567,3 +576,38 @@ def ensure_logical_type_for_python_class( python_type, ) return lt + + def ensure_types_registered_for_schemas(self, *schemas: Schema) -> None: + """Ensure a LogicalType is registered for every non-native leaf class in schemas. + + Recursively unwraps generic annotations (``list[T]``, ``dict[K, V]``, + ``T | None``, etc.) to find leaf Python classes. Skips Arrow-native + types (``int``, ``str``, ``datetime``, …) and types that are already + registered. Calls ``ensure_logical_type_for_python_class`` for any + remaining leaf class, which synthesizes via factory or raises + ``TypeError`` if no factory is registered. + + This is the canonical write-side registration trigger, called at + ``FunctionPod`` declaration time so that any missing ``LogicalType`` + is detected and synthesized eagerly rather than at data-processing time. + + Args: + *schemas: One or more ``Schema`` mappings (column name → Python type + annotation) to inspect. + + Raises: + TypeError: If a leaf class has no registered ``LogicalType`` and + no registered factory covers it. + """ + # Local import to avoid a circular dependency: + # registry → universal_converter → contexts.core → registry + from orcapod.semantic_types.universal_converter import UniversalTypeConverter # noqa: PLC0415 + + native_keys = UniversalTypeConverter.get_native_python_types() + for schema in schemas: + for annotation in schema.values(): + for leaf_class in extract_leaf_classes(annotation): + if leaf_class in native_keys or self.get_by_python_type(leaf_class) is not None: + continue + self.ensure_logical_type_for_python_class(leaf_class) + # TypeError propagates if no factory matches — intentional hard error diff --git a/src/orcapod/extension_types/type_utils.py b/src/orcapod/extension_types/type_utils.py index 027db1b4..ecc8aad2 100644 --- a/src/orcapod/extension_types/type_utils.py +++ b/src/orcapod/extension_types/type_utils.py @@ -10,15 +10,16 @@ from typing import Any, Iterator -def _extract_leaf_classes(annotation: Any) -> Iterator[type]: +def extract_leaf_classes(annotation: Any) -> Iterator[type]: """Recursively yield all concrete leaf Python classes from a type annotation. Unwraps generic aliases (``list[T]``, ``dict[K, V]``, ``Optional[T]``, - ``Union[A, B]``, etc.) using ``typing.get_origin`` and ``typing.get_args`` - and yields every non-generic leaf found. ``NoneType`` that appears as a - generic argument (from ``Optional`` and ``Union[..., None]``) is skipped — - callers see only the concrete types. When ``type(None)`` is passed directly - as the annotation, it is yielded as-is. + ``Union[A, B]``, ``A | B``, etc.) using ``typing.get_origin`` and + ``typing.get_args`` and yields every non-generic leaf found. ``NoneType`` + that appears as a generic argument (from ``Optional`` and + ``Union[..., None]`` / ``T | None``) is skipped — callers see only the + concrete types. When ``type(None)`` is passed directly as the annotation, + it is yielded as-is. Non-type, non-generic values (e.g. unresolved string annotations) are silently skipped. @@ -30,9 +31,9 @@ def _extract_leaf_classes(annotation: Any) -> Iterator[type]: Concrete Python ``type`` objects found at leaf positions. Examples: - >>> list(_extract_leaf_classes(list[int])) + >>> list(extract_leaf_classes(list[int])) [] - >>> set(_extract_leaf_classes(dict[str, list[MyClass]])) + >>> set(extract_leaf_classes(dict[str, list[MyClass]])) {, } """ origin = typing.get_origin(annotation) @@ -47,4 +48,4 @@ def _extract_leaf_classes(annotation: Any) -> Iterator[type]: for arg in typing.get_args(annotation): if arg is type(None): continue - yield from _extract_leaf_classes(arg) + yield from extract_leaf_classes(arg) diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index c73b791c..c315ed23 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -118,6 +118,12 @@ def _get_python_to_arrow_map() -> dict: return _PYTHON_TO_ARROW_MAP +# Cache for the set of Python types that UniversalTypeConverter handles natively. +# Built lazily by get_native_python_types() from _get_python_to_arrow_map() so +# that datetime, numpy types, and any future additions are captured automatically. +_ARROW_NATIVE_TYPE_KEYS: frozenset[type] | None = None + + def _is_optional_type(python_type: DataType) -> bool: """Return True if python_type is T | None (Optional[T]). @@ -151,7 +157,7 @@ def __init__( self, semantic_registry: SemanticTypeRegistry | None = None, datetime_timezone: typing.Literal["strict", "coerce_utc"] = "strict", - logical_type_registry: "LogicalTypeRegistry | None" = None, + logical_type_registry: LogicalTypeRegistry | None = None, ): """ Args: @@ -187,6 +193,26 @@ def __init__( self._arrow_to_python_types: dict[pa.DataType, DataType] = {} self._dataclass_lookup_cache: dict[str, type] = {} + @classmethod + def get_native_python_types(cls) -> frozenset[type]: + """Return the set of Python types that this converter handles natively. + + Derived lazily from ``_get_python_to_arrow_map()`` so that + ``datetime.datetime``, numpy scalar types, and any future additions + are captured without hard-coding them here. ``type(None)`` is always + included because ``NoneType`` is produced by ``Optional[T]`` / + ``T | None`` unwrapping but may not appear as a key in the map. + + Returns: + Frozen set of Python ``type`` objects with built-in Arrow mappings. + """ + global _ARROW_NATIVE_TYPE_KEYS + if _ARROW_NATIVE_TYPE_KEYS is None: + _ARROW_NATIVE_TYPE_KEYS = frozenset( + k for k in _get_python_to_arrow_map() if isinstance(k, type) + ) | {type(None)} + return _ARROW_NATIVE_TYPE_KEYS + def python_type_to_arrow_type(self, python_type: DataType) -> pa.DataType: """ Convert Python type hint to Arrow type with caching. diff --git a/tests/test_core/function_pod/test_write_side_registration.py b/tests/test_core/function_pod/test_write_side_registration.py index f250d9b7..dedce263 100644 --- a/tests/test_core/function_pod/test_write_side_registration.py +++ b/tests/test_core/function_pod/test_write_side_registration.py @@ -11,7 +11,6 @@ from typing import Optional import pyarrow as pa -import polars as pl import pytest from orcapod.contexts import get_default_context @@ -22,6 +21,7 @@ from orcapod.extension_types.registry import ( LogicalTypeRegistry, make_arrow_extension_type, + make_polars_extension_type, ) from orcapod.semantic_types.universal_converter import UniversalTypeConverter @@ -55,19 +55,13 @@ def _make_logical_type(py_type: type) -> LogicalTypeProtocol: """Synthesize a minimal LogicalType for py_type.""" arrow_name = f"{py_type.__module__}.{py_type.__qualname__}.{_uuid_module.uuid4().hex[:6]}" ArrowExt = make_arrow_extension_type(arrow_name, pa.large_string()) - - class _PolarsExt(pl.BaseExtension): - def __init__(self): - super().__init__(arrow_name, pl.String, None) - @classmethod - def ext_from_params(cls, ext_name, storage_dtype, metadata_str): - return cls() + PolarsExt = make_polars_extension_type(arrow_name, pa.large_string()) class _LT: logical_type_name = arrow_name python_type = py_type def get_arrow_extension_type(self): return ArrowExt() - def get_polars_extension_type(self): return _PolarsExt() + def get_polars_extension_type(self): return PolarsExt() def python_to_storage(self, v): return str(v) def storage_to_python(self, v): return v @@ -385,3 +379,25 @@ def my_func(x: _MyChild) -> str: ) # Factory was NOT called — _MyChild was already registered assert _MyChild not in call_log + + +def test_pod_declaration_with_union_none_syntax(): + """``_MyChild | None`` (new-style union) causes factory synthesis for _MyChild. + + Python 3.10+ ``X | Y`` produces a ``types.UnionType``, which is a different + runtime object from ``typing.Union[X, Y]``. This test confirms that + ``extract_leaf_classes`` correctly unwraps both union forms and that + ``NoneType`` is skipped in both cases. + """ + registry, call_log = _make_registry_with_factory(_MyBase) + ctx = _make_test_context(registry) + + def my_func(x: _MyChild | None) -> str: + return "" + + FunctionPod( + data_function=PythonDataFunction(my_func, output_keys=["result"]), + data_context=ctx, + ) + assert _MyChild in call_log + assert registry.get_by_python_type(_MyChild) is not None diff --git a/tests/test_extension_types/test_type_utils.py b/tests/test_extension_types/test_type_utils.py index 8446269f..2897ac2d 100644 --- a/tests/test_extension_types/test_type_utils.py +++ b/tests/test_extension_types/test_type_utils.py @@ -4,7 +4,7 @@ from typing import Optional, Union -from orcapod.extension_types.type_utils import _extract_leaf_classes +from orcapod.extension_types.type_utils import extract_leaf_classes class _A: @@ -16,59 +16,59 @@ class _B: def test_plain_class(): - assert list(_extract_leaf_classes(int)) == [int] + assert list(extract_leaf_classes(int)) == [int] def test_plain_custom_class(): - assert list(_extract_leaf_classes(_A)) == [_A] + assert list(extract_leaf_classes(_A)) == [_A] def test_list_of_class(): - assert list(_extract_leaf_classes(list[int])) == [int] + assert list(extract_leaf_classes(list[int])) == [int] def test_dict_of_classes(): - result = set(_extract_leaf_classes(dict[str, int])) + result = set(extract_leaf_classes(dict[str, int])) assert result == {str, int} def test_optional_unwraps_none(): """Optional[X] yields X but not NoneType.""" - result = list(_extract_leaf_classes(Optional[int])) + result = list(extract_leaf_classes(Optional[int])) assert result == [int] def test_union_yields_all_non_none(): - result = set(_extract_leaf_classes(Union[int, str])) + result = set(extract_leaf_classes(Union[int, str])) assert result == {int, str} def test_union_with_none_excludes_none(): - result = set(_extract_leaf_classes(Union[int, None])) + result = set(extract_leaf_classes(Union[int, None])) assert type(None) not in result assert int in result def test_nested_list_of_dict(): """list[dict[_A, list[_B]]] yields _A and _B.""" - result = set(_extract_leaf_classes(list[dict[_A, list[_B]]])) + result = set(extract_leaf_classes(list[dict[_A, list[_B]]])) assert result == {_A, _B} def test_deeply_nested(): """list[dict[str, list[dict[int, _A]]]] yields str, int, _A.""" - result = set(_extract_leaf_classes(list[dict[str, list[dict[int, _A]]]])) + result = set(extract_leaf_classes(list[dict[str, list[dict[int, _A]]]])) assert result == {str, int, _A} def test_non_generic_non_type_is_skipped(): """Annotations that are not types and not generic aliases yield nothing.""" # e.g. a string annotation that failed resolution — should not crash - result = list(_extract_leaf_classes("unresolved_string")) + result = list(extract_leaf_classes("unresolved_string")) assert result == [] def test_none_type_plain(): """type(None) itself yields type(None) as a leaf (not filtered at this level).""" - result = list(_extract_leaf_classes(type(None))) + result = list(extract_leaf_classes(type(None))) assert result == [type(None)] From 543d2e62d3712ba3281810cabf371b73abee0b8f Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 20:52:11 +0000 Subject: [PATCH 095/206] refactor(universal_converter): move ensure_types_registered_for_schemas to UniversalTypeConverter UniversalTypeConverter already holds self._logical_type_registry and get_native_python_types(), so the method is fully self-contained there with no import gymnastics required. - Remove ensure_types_registered_for_schemas from LogicalTypeRegistry (and the Schema / extract_leaf_classes imports that went with it) - Add ensure_types_registered_for_schemas to UniversalTypeConverter, calling self.get_native_python_types() and self._logical_type_registry directly; no-op when _logical_type_registry is None - Add extract_leaf_classes import to universal_converter.py - Add ensure_types_registered_for_schemas to TypeConverterProtocol so the call site is type-safe - Update _FunctionPodBase.__init__ call site to use self.data_context.type_converter.ensure_types_registered_for_schemas() --- src/orcapod/core/function_pod.py | 2 +- src/orcapod/extension_types/registry.py | 36 ------------------- .../protocols/semantic_types_protocols.py | 2 ++ .../semantic_types/universal_converter.py | 36 +++++++++++++++++++ 4 files changed, 39 insertions(+), 37 deletions(-) diff --git a/src/orcapod/core/function_pod.py b/src/orcapod/core/function_pod.py index dd5f4fea..ac4dd854 100644 --- a/src/orcapod/core/function_pod.py +++ b/src/orcapod/core/function_pod.py @@ -75,7 +75,7 @@ def __init__( ) self.tracker_manager = tracker_manager or DEFAULT_TRACKER_MANAGER self._data_function = data_function - self.data_context.logical_type_registry.ensure_types_registered_for_schemas( + self.data_context.type_converter.ensure_types_registered_for_schemas( data_function.input_data_schema, data_function.output_data_schema, ) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 60345df7..d938ea20 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -12,8 +12,6 @@ from typing import TYPE_CHECKING, Iterable from orcapod.extension_types.protocols import LogicalTypeProtocol, LogicalTypeFactoryProtocol -from orcapod.extension_types.type_utils import extract_leaf_classes -from orcapod.types import Schema from orcapod.utils.lazy_module import LazyModule if TYPE_CHECKING: @@ -577,37 +575,3 @@ def ensure_logical_type_for_python_class( ) return lt - def ensure_types_registered_for_schemas(self, *schemas: Schema) -> None: - """Ensure a LogicalType is registered for every non-native leaf class in schemas. - - Recursively unwraps generic annotations (``list[T]``, ``dict[K, V]``, - ``T | None``, etc.) to find leaf Python classes. Skips Arrow-native - types (``int``, ``str``, ``datetime``, …) and types that are already - registered. Calls ``ensure_logical_type_for_python_class`` for any - remaining leaf class, which synthesizes via factory or raises - ``TypeError`` if no factory is registered. - - This is the canonical write-side registration trigger, called at - ``FunctionPod`` declaration time so that any missing ``LogicalType`` - is detected and synthesized eagerly rather than at data-processing time. - - Args: - *schemas: One or more ``Schema`` mappings (column name → Python type - annotation) to inspect. - - Raises: - TypeError: If a leaf class has no registered ``LogicalType`` and - no registered factory covers it. - """ - # Local import to avoid a circular dependency: - # registry → universal_converter → contexts.core → registry - from orcapod.semantic_types.universal_converter import UniversalTypeConverter # noqa: PLC0415 - - native_keys = UniversalTypeConverter.get_native_python_types() - for schema in schemas: - for annotation in schema.values(): - for leaf_class in extract_leaf_classes(annotation): - if leaf_class in native_keys or self.get_by_python_type(leaf_class) is not None: - continue - self.ensure_logical_type_for_python_class(leaf_class) - # TypeError propagates if no factory matches — intentional hard error diff --git a/src/orcapod/protocols/semantic_types_protocols.py b/src/orcapod/protocols/semantic_types_protocols.py index 002e2686..1f0a6b05 100644 --- a/src/orcapod/protocols/semantic_types_protocols.py +++ b/src/orcapod/protocols/semantic_types_protocols.py @@ -51,6 +51,8 @@ def get_arrow_to_python_converter( self, arrow_type: "pa.DataType" ) -> "Callable[[Any], Any]": ... + def ensure_types_registered_for_schemas(self, *schemas: Schema) -> None: ... + # Core protocols class SemanticStructConverterProtocol(Protocol): diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index c315ed23..79a2aad1 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -22,6 +22,7 @@ from typing import TYPE_CHECKING, Any, TypedDict, get_args, get_origin from orcapod.contexts import DataContext, resolve_context +from orcapod.extension_types.type_utils import extract_leaf_classes from orcapod.semantic_types.semantic_registry import SemanticTypeRegistry from orcapod.semantic_types.type_inference import infer_python_schema_from_pylist_data from orcapod.types import DataType, Schema, SchemaLike @@ -213,6 +214,41 @@ def get_native_python_types(cls) -> frozenset[type]: ) | {type(None)} return _ARROW_NATIVE_TYPE_KEYS + def ensure_types_registered_for_schemas(self, *schemas: Schema) -> None: + """Ensure a LogicalType is registered for every non-native leaf class in schemas. + + Recursively unwraps generic annotations (``list[T]``, ``dict[K, V]``, + ``T | None``, etc.) to find leaf Python classes. Skips Arrow-native + types (``int``, ``str``, ``datetime``, …) and types that are already + registered. Calls ``ensure_logical_type_for_python_class`` for any + remaining leaf class, which synthesizes via factory or raises + ``TypeError`` if no factory is registered. + + This is the canonical write-side registration trigger, called at + ``FunctionPod`` declaration time so that any missing ``LogicalType`` + is detected and synthesized eagerly rather than at data-processing time. + When no ``LogicalTypeRegistry`` is configured on this converter, the + method is a no-op. + + Args: + *schemas: One or more ``Schema`` mappings (column name → Python type + annotation) to inspect. + + Raises: + TypeError: If a leaf class has no registered ``LogicalType`` and + no registered factory covers it. + """ + if self._logical_type_registry is None: + return + native_keys = self.get_native_python_types() + for schema in schemas: + for annotation in schema.values(): + for leaf_class in extract_leaf_classes(annotation): + if leaf_class in native_keys or self._logical_type_registry.get_by_python_type(leaf_class) is not None: + continue + self._logical_type_registry.ensure_logical_type_for_python_class(leaf_class) + # TypeError propagates if no factory matches — intentional hard error + def python_type_to_arrow_type(self, python_type: DataType) -> pa.DataType: """ Convert Python type hint to Arrow type with caching. From 95fbf41239bab9147bcb46aadee6d41252a11e63 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 21:49:43 +0000 Subject: [PATCH 096/206] test(extension_types): update assertions for orcapod.* extension name namespace Update all test assertions to expect the new orcapod.path, orcapod.upath, and orcapod.uuid extension names instead of the upstream module-path names (pathlib.Path, upath.UPath, uuid.UUID). Tests now fail as expected (TDD red step). Co-Authored-By: Claude Sonnet 4.6 --- .../test_builtin_logical_types.py | 26 +++++++++---------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/tests/test_extension_types/test_builtin_logical_types.py b/tests/test_extension_types/test_builtin_logical_types.py index 9001e607..f2bba77f 100644 --- a/tests/test_extension_types/test_builtin_logical_types.py +++ b/tests/test_extension_types/test_builtin_logical_types.py @@ -28,7 +28,7 @@ def test_logical_path_isinstance_logical_type(): def test_logical_path_logical_type_name(): from orcapod.extension_types.builtin_logical_types import LogicalPath - assert LogicalPath().logical_type_name == "pathlib.Path" + assert LogicalPath().logical_type_name == "orcapod.path" def test_logical_path_python_type(): @@ -41,7 +41,7 @@ def test_logical_path_arrow_ext_name(): """get_arrow_extension_type().extension_name is 'pathlib.Path'.""" from orcapod.extension_types.builtin_logical_types import LogicalPath - assert LogicalPath().get_arrow_extension_type().extension_name == "pathlib.Path" + assert LogicalPath().get_arrow_extension_type().extension_name == "orcapod.path" def test_logical_path_arrow_ext_storage_type(): @@ -100,7 +100,7 @@ def test_logical_upath_isinstance_logical_type(): def test_logical_upath_logical_type_name(): from orcapod.extension_types.builtin_logical_types import LogicalUPath - assert LogicalUPath().logical_type_name == "upath.UPath" + assert LogicalUPath().logical_type_name == "orcapod.upath" def test_logical_upath_python_type(): @@ -113,7 +113,7 @@ def test_logical_upath_arrow_ext_name(): """get_arrow_extension_type().extension_name is 'upath.UPath'.""" from orcapod.extension_types.builtin_logical_types import LogicalUPath - assert LogicalUPath().get_arrow_extension_type().extension_name == "upath.UPath" + assert LogicalUPath().get_arrow_extension_type().extension_name == "orcapod.upath" def test_logical_upath_arrow_ext_storage_type(): @@ -170,7 +170,7 @@ def test_logical_uuid_isinstance_logical_type(): def test_logical_uuid_logical_type_name(): from orcapod.extension_types.builtin_logical_types import LogicalUUID - assert LogicalUUID().logical_type_name == "uuid.UUID" + assert LogicalUUID().logical_type_name == "orcapod.uuid" def test_logical_uuid_python_type(): @@ -184,7 +184,7 @@ def test_logical_uuid_arrow_ext_name(): from orcapod.extension_types.builtin_logical_types import LogicalUUID lt = LogicalUUID() - assert lt.get_arrow_extension_type().extension_name == "uuid.UUID" + assert lt.get_arrow_extension_type().extension_name == "orcapod.uuid" assert lt.get_arrow_extension_type().extension_name == lt.logical_type_name @@ -245,8 +245,8 @@ def test_logical_uuid_registration_does_not_raise(): registry = LogicalTypeRegistry() lt = LogicalUUID() registry.register_logical_type(lt) # should NOT raise - assert registry.get_by_logical_name("uuid.UUID") is lt - assert registry.get_by_arrow_extension_name("uuid.UUID") is lt + assert registry.get_by_logical_name("orcapod.uuid") is lt + assert registry.get_by_arrow_extension_name("orcapod.uuid") is lt # --------------------------------------------------------------------------- @@ -381,7 +381,7 @@ def test_default_context_registry_has_logical_path(): from orcapod.extension_types.builtin_logical_types import LogicalPath registry = get_default_context().logical_type_registry - lt = registry.get_by_logical_name("pathlib.Path") + lt = registry.get_by_logical_name("orcapod.path") assert isinstance(lt, LogicalPath) @@ -401,7 +401,7 @@ def test_default_context_registry_lookup_by_arrow_name_path(): from orcapod.extension_types.builtin_logical_types import LogicalPath registry = get_default_context().logical_type_registry - lt = registry.get_by_arrow_extension_name("pathlib.Path") + lt = registry.get_by_arrow_extension_name("orcapod.path") assert isinstance(lt, LogicalPath) @@ -411,7 +411,7 @@ def test_default_context_registry_has_logical_upath(): from orcapod.extension_types.builtin_logical_types import LogicalUPath registry = get_default_context().logical_type_registry - lt = registry.get_by_logical_name("upath.UPath") + lt = registry.get_by_logical_name("orcapod.upath") assert isinstance(lt, LogicalUPath) @@ -431,7 +431,7 @@ def test_default_context_registry_has_logical_uuid(): from orcapod.extension_types.builtin_logical_types import LogicalUUID registry = get_default_context().logical_type_registry - lt = registry.get_by_logical_name("uuid.UUID") + lt = registry.get_by_logical_name("orcapod.uuid") assert isinstance(lt, LogicalUUID) @@ -441,7 +441,7 @@ def test_default_context_registry_lookup_by_arrow_name_uuid(): from orcapod.extension_types.builtin_logical_types import LogicalUUID registry = get_default_context().logical_type_registry - lt = registry.get_by_arrow_extension_name("uuid.UUID") + lt = registry.get_by_arrow_extension_name("orcapod.uuid") assert isinstance(lt, LogicalUUID) From 609c030b277a4759b693491b0be01024fdf230fa Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 21:51:59 +0000 Subject: [PATCH 097/206] test(extension_types): fix stale docstrings in arrow ext name tests --- tests/test_extension_types/test_builtin_logical_types.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tests/test_extension_types/test_builtin_logical_types.py b/tests/test_extension_types/test_builtin_logical_types.py index f2bba77f..cb6fcd4e 100644 --- a/tests/test_extension_types/test_builtin_logical_types.py +++ b/tests/test_extension_types/test_builtin_logical_types.py @@ -38,7 +38,7 @@ def test_logical_path_python_type(): def test_logical_path_arrow_ext_name(): - """get_arrow_extension_type().extension_name is 'pathlib.Path'.""" + """get_arrow_extension_type().extension_name is 'orcapod.path'.""" from orcapod.extension_types.builtin_logical_types import LogicalPath assert LogicalPath().get_arrow_extension_type().extension_name == "orcapod.path" @@ -110,7 +110,7 @@ def test_logical_upath_python_type(): def test_logical_upath_arrow_ext_name(): - """get_arrow_extension_type().extension_name is 'upath.UPath'.""" + """get_arrow_extension_type().extension_name is 'orcapod.upath'.""" from orcapod.extension_types.builtin_logical_types import LogicalUPath assert LogicalUPath().get_arrow_extension_type().extension_name == "orcapod.upath" @@ -180,7 +180,7 @@ def test_logical_uuid_python_type(): def test_logical_uuid_arrow_ext_name(): - """Arrow extension name is 'uuid.UUID', matching logical_type_name.""" + """Arrow extension name is 'orcapod.uuid', matching logical_type_name.""" from orcapod.extension_types.builtin_logical_types import LogicalUUID lt = LogicalUUID() From 67f0ae11037cc0303e6ec58f204aef067accad01 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 21:53:46 +0000 Subject: [PATCH 098/206] feat(extension_types): rename built-in extension types to orcapod.* namespace LogicalPath: 'pathlib.Path' -> 'orcapod.path' LogicalUPath: 'upath.UPath' -> 'orcapod.upath' LogicalUUID: 'uuid.UUID' -> 'orcapod.uuid' Orcapod now owns the canonical extension identity for all three built-in types, decoupling on-disk names from upstream library module paths. Co-Authored-By: Claude Sonnet 4.6 --- .../extension_types/builtin_logical_types.py | 62 ++++++++++++------- 1 file changed, 40 insertions(+), 22 deletions(-) diff --git a/src/orcapod/extension_types/builtin_logical_types.py b/src/orcapod/extension_types/builtin_logical_types.py index 9b7910ce..f5b661c9 100644 --- a/src/orcapod/extension_types/builtin_logical_types.py +++ b/src/orcapod/extension_types/builtin_logical_types.py @@ -3,9 +3,14 @@ Provides three built-in logical types registered into the default ``DataContext.logical_type_registry`` via ``contexts/data/v0.1.json``: -- ``LogicalPath``: maps ``pathlib.Path`` ↔ Arrow large_string extension "pathlib.Path" -- ``LogicalUPath``: maps ``upath.UPath`` ↔ Arrow large_string extension "upath.UPath" -- ``LogicalUUID``: maps ``uuid.UUID`` ↔ Arrow large_binary extension "uuid.UUID" +- ``LogicalPath``: maps ``pathlib.Path`` ↔ Arrow large_string extension ``"orcapod.path"`` +- ``LogicalUPath``: maps ``upath.UPath`` ↔ Arrow large_string extension ``"orcapod.upath"`` +- ``LogicalUUID``: maps ``uuid.UUID`` ↔ Arrow large_binary extension ``"orcapod.uuid"`` + +All three types use the ``orcapod.*`` extension name namespace rather than the upstream +module-qualified names (``"pathlib.Path"``, etc.). This gives Orcapod stable ownership of +the on-disk extension identity: even if the upstream library is renamed or restructured, +data written with these extension names continues to be readable without modification. Note: All imports from orcapod.extension_types use direct submodule paths @@ -31,7 +36,11 @@ class LogicalPath: """Logical type for ``pathlib.Path``. Stores paths as Arrow large strings using the custom extension type - ``"pathlib.Path"``. + ``"orcapod.path"``. + + The extension name ``"orcapod.path"`` is Orcapod-owned and stable; it does not + depend on the upstream ``pathlib`` module path. Use ``orcapod.Path`` (a top-level + alias for ``pathlib.Path``) as the preferred way to reference this type in user code. Example: >>> lt = LogicalPath() @@ -41,12 +50,12 @@ class LogicalPath: PosixPath('/tmp/foo') """ - _arrow_ext_class = make_arrow_extension_type("pathlib.Path", pa.large_string()) + _arrow_ext_class = make_arrow_extension_type("orcapod.path", pa.large_string()) _arrow_ext: pa.ExtensionType | None = None - _polars_ext_class = make_polars_extension_type("pathlib.Path", pa.large_string()) + _polars_ext_class = make_polars_extension_type("orcapod.path", pa.large_string()) _polars_ext: pl.BaseExtension | None = None - logical_type_name: str = "pathlib.Path" + logical_type_name: str = "orcapod.path" python_type: type = pathlib.Path def get_arrow_extension_type(self) -> pa.ExtensionType: @@ -54,7 +63,7 @@ def get_arrow_extension_type(self) -> pa.ExtensionType: Returns: A cached ``pa.ExtensionType`` instance with extension name - ``"pathlib.Path"`` and storage type ``pa.large_string()``. + ``"orcapod.path"`` and storage type ``pa.large_string()``. """ if LogicalPath._arrow_ext is None: LogicalPath._arrow_ext = LogicalPath._arrow_ext_class() @@ -65,7 +74,7 @@ def get_polars_extension_type(self) -> pl.BaseExtension: Returns: A cached ``pl.BaseExtension`` instance registered under - ``"pathlib.Path"``. + ``"orcapod.path"``. """ if LogicalPath._polars_ext is None: LogicalPath._polars_ext = LogicalPath._polars_ext_class() @@ -98,7 +107,11 @@ class LogicalUPath: """Logical type for ``upath.UPath``. Stores paths as Arrow large strings using the custom extension type - ``"upath.UPath"``. + ``"orcapod.upath"``. + + The extension name ``"orcapod.upath"`` is Orcapod-owned and stable; it does not + depend on the upstream ``upath`` module path. Use ``orcapod.UPath`` (a top-level + alias for ``upath.UPath``) as the preferred way to reference this type in user code. Example: >>> lt = LogicalUPath() @@ -108,12 +121,12 @@ class LogicalUPath: UPath('s3://bucket/key') """ - _arrow_ext_class = make_arrow_extension_type("upath.UPath", pa.large_string()) + _arrow_ext_class = make_arrow_extension_type("orcapod.upath", pa.large_string()) _arrow_ext: pa.ExtensionType | None = None - _polars_ext_class = make_polars_extension_type("upath.UPath", pa.large_string()) + _polars_ext_class = make_polars_extension_type("orcapod.upath", pa.large_string()) _polars_ext: pl.BaseExtension | None = None - logical_type_name: str = "upath.UPath" + logical_type_name: str = "orcapod.upath" python_type: type = UPath def get_arrow_extension_type(self) -> pa.ExtensionType: @@ -121,7 +134,7 @@ def get_arrow_extension_type(self) -> pa.ExtensionType: Returns: A cached ``pa.ExtensionType`` instance with extension name - ``"upath.UPath"`` and storage type ``pa.large_string()``. + ``"orcapod.upath"`` and storage type ``pa.large_string()``. """ if LogicalUPath._arrow_ext is None: LogicalUPath._arrow_ext = LogicalUPath._arrow_ext_class() @@ -132,7 +145,7 @@ def get_polars_extension_type(self) -> pl.BaseExtension: Returns: A cached ``pl.BaseExtension`` instance registered under - ``"upath.UPath"``. + ``"orcapod.upath"``. """ if LogicalUPath._polars_ext is None: LogicalUPath._polars_ext = LogicalUPath._polars_ext_class() @@ -165,8 +178,13 @@ class LogicalUUID: """Logical type for ``uuid.UUID``. Stores UUIDs as Arrow binary (16 bytes) using the custom extension type - ``"uuid.UUID"``. Both the Arrow extension name and ``logical_type_name`` - are ``"uuid.UUID"``, consistent with ``LogicalPath`` and ``LogicalUPath``. + ``"orcapod.uuid"``. Both the Arrow extension name and ``logical_type_name`` + are ``"orcapod.uuid"``, consistent with ``LogicalPath`` and ``LogicalUPath``. + + The extension name ``"orcapod.uuid"`` is Orcapod-owned and stable, replacing + the previous ``"uuid.UUID"`` name that mirrored PyArrow's ``"arrow.uuid"`` + territory. Use ``orcapod.UUID`` (a top-level alias for ``uuid.UUID``) as the + preferred way to reference this type in user code. The storage type is ``pa.large_binary()`` (variable-length binary), using big-endian byte order as returned by ``uuid.UUID.bytes``. ``large_binary`` @@ -182,12 +200,12 @@ class LogicalUUID: True """ - _arrow_ext_class = make_arrow_extension_type("uuid.UUID", pa.large_binary()) + _arrow_ext_class = make_arrow_extension_type("orcapod.uuid", pa.large_binary()) _arrow_ext: pa.ExtensionType | None = None - _polars_ext_class = make_polars_extension_type("uuid.UUID", pa.large_binary()) + _polars_ext_class = make_polars_extension_type("orcapod.uuid", pa.large_binary()) _polars_ext: pl.BaseExtension | None = None - logical_type_name: str = "uuid.UUID" + logical_type_name: str = "orcapod.uuid" python_type: type = _uuid_module.UUID def get_arrow_extension_type(self) -> pa.ExtensionType: @@ -195,7 +213,7 @@ def get_arrow_extension_type(self) -> pa.ExtensionType: Returns: A cached ``pa.ExtensionType`` instance with extension name - ``"uuid.UUID"`` and storage type ``pa.large_binary()``. + ``"orcapod.uuid"`` and storage type ``pa.large_binary()``. """ if LogicalUUID._arrow_ext is None: LogicalUUID._arrow_ext = LogicalUUID._arrow_ext_class() @@ -206,7 +224,7 @@ def get_polars_extension_type(self) -> pl.BaseExtension: Returns: A cached ``pl.BaseExtension`` instance registered under - ``"uuid.UUID"``. + ``"orcapod.uuid"``. """ if LogicalUUID._polars_ext is None: LogicalUUID._polars_ext = LogicalUUID._polars_ext_class() From 3e343baf47370296621ad9f8277a12b3fb0450ab Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 21:56:15 +0000 Subject: [PATCH 099/206] test(orcapod): add tests for Path, UPath, UUID top-level aliases (red step) --- .../test_builtin_logical_types.py | 53 +++++++++++++++++++ 1 file changed, 53 insertions(+) diff --git a/tests/test_extension_types/test_builtin_logical_types.py b/tests/test_extension_types/test_builtin_logical_types.py index cb6fcd4e..15b74b35 100644 --- a/tests/test_extension_types/test_builtin_logical_types.py +++ b/tests/test_extension_types/test_builtin_logical_types.py @@ -459,3 +459,56 @@ def test_default_context_idempotent_registry(): r1 = get_default_context().logical_type_registry r2 = get_default_context().logical_type_registry assert r1 is r2 + + +# --------------------------------------------------------------------------- +# Top-level orcapod namespace alias tests +# --------------------------------------------------------------------------- + + +def test_orcapod_path_alias_is_pathlib_path(): + """orcapod.Path is the same object as pathlib.Path.""" + import pathlib + + import orcapod + + assert orcapod.Path is pathlib.Path + + +def test_orcapod_upath_alias_is_upath_upath(): + """orcapod.UPath is the same object as upath.UPath.""" + from upath import UPath + + import orcapod + + assert orcapod.UPath is UPath + + +def test_orcapod_uuid_alias_is_uuid_uuid(): + """orcapod.UUID is the same object as uuid.UUID.""" + import uuid + + import orcapod + + assert orcapod.UUID is uuid.UUID + + +def test_orcapod_path_alias_in_all(): + """orcapod.Path appears in orcapod.__all__.""" + import orcapod + + assert "Path" in orcapod.__all__ + + +def test_orcapod_upath_alias_in_all(): + """orcapod.UPath appears in orcapod.__all__.""" + import orcapod + + assert "UPath" in orcapod.__all__ + + +def test_orcapod_uuid_alias_in_all(): + """orcapod.UUID appears in orcapod.__all__.""" + import orcapod + + assert "UUID" in orcapod.__all__ From aed2c9aa970bffca3754cddf6c605e3917f215d5 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 21:58:30 +0000 Subject: [PATCH 100/206] feat(orcapod): expose Path, UPath, UUID as stable top-level aliases MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Adds orcapod.Path, orcapod.UPath, orcapod.UUID as re-exports of pathlib.Path, upath.UPath, and uuid.UUID respectively. These are the preferred symbols for user code — stable even if upstream libraries rename their types or module paths. Fixes PLT-1670 --- src/orcapod/__init__.py | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/src/orcapod/__init__.py b/src/orcapod/__init__.py index 9d30caa7..7810376c 100644 --- a/src/orcapod/__init__.py +++ b/src/orcapod/__init__.py @@ -21,6 +21,18 @@ from . import streams # noqa: F401 from . import types # noqa: F401 +# Stable type aliases — preferred over importing directly from pathlib/upath/uuid. +# +# These aliases are the recommended way to reference these types in orcapod user code. +# Even if an upstream library is renamed or restructured, these symbols remain stable +# at ``orcapod.Path``, ``orcapod.UPath``, and ``orcapod.UUID``. Their Arrow extension +# types are registered under the ``orcapod.*`` namespace (``"orcapod.path"``, +# ``"orcapod.upath"``, ``"orcapod.uuid"``), so on-disk identity is also decoupled +# from upstream module paths. +from pathlib import Path +from upath import UPath +from uuid import UUID + __all__ = [ "DEFAULT_CONFIG", "DisplayConfig", @@ -39,6 +51,10 @@ "sources", "streams", "types", + # Stable type aliases + "Path", + "UPath", + "UUID", ] From 5eeb19aa89d36aaa1a6f7f02977d03ac417300b9 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 22:03:54 +0000 Subject: [PATCH 101/206] test(semantic_types): update extension name assertions to orcapod.* namespace Fixed 3 hardcoded test assertions that still referenced old extension names (pathlib.Path, upath.UPath) instead of the new orcapod.* namespace (orcapod.path, orcapod.upath) introduced in PLT-1670. Co-Authored-By: Claude Sonnet 4.6 --- tests/test_semantic_types/test_schema_arrow_equality.py | 2 +- tests/test_semantic_types/test_universal_converter.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/tests/test_semantic_types/test_schema_arrow_equality.py b/tests/test_semantic_types/test_schema_arrow_equality.py index fe18a59d..cc04e141 100644 --- a/tests/test_semantic_types/test_schema_arrow_equality.py +++ b/tests/test_semantic_types/test_schema_arrow_equality.py @@ -269,7 +269,7 @@ def test_path_is_non_nullable(self): arrow = _to_arrow(Schema({"p": Path})) assert arrow.field("p").nullable is False assert isinstance(arrow.field("p").type, pa.ExtensionType) - assert arrow.field("p").type.extension_name == "pathlib.Path" + assert arrow.field("p").type.extension_name == "orcapod.path" def test_equal_list_schemas_are_logically_equal(self): s1 = Schema({"items": list[int]}) diff --git a/tests/test_semantic_types/test_universal_converter.py b/tests/test_semantic_types/test_universal_converter.py index 07b52966..15b93d11 100644 --- a/tests/test_semantic_types/test_universal_converter.py +++ b/tests/test_semantic_types/test_universal_converter.py @@ -183,7 +183,7 @@ def test_python_type_to_arrow_type_custom(): arrow_type = universal_converter.python_type_to_arrow_type(Path) # Path is registered in the default logical_type_registry — expect an extension type. assert isinstance(arrow_type, pa.ExtensionType) - assert arrow_type.extension_name == "pathlib.Path" + assert arrow_type.extension_name == "orcapod.path" assert pa.types.is_large_string(arrow_type.storage_type) @@ -193,7 +193,7 @@ def test_python_type_to_arrow_type_upath(): arrow_type = universal_converter.python_type_to_arrow_type(UPath) # UPath is registered in the default logical_type_registry — expect an extension type. assert isinstance(arrow_type, pa.ExtensionType) - assert arrow_type.extension_name == "upath.UPath" + assert arrow_type.extension_name == "orcapod.upath" assert pa.types.is_large_string(arrow_type.storage_type) From 5f3a27e66caa676c93a876974a9fc9fc2fd28f7f Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 22:14:16 +0000 Subject: [PATCH 102/206] docs(extension_types): update stale docstring examples to orcapod.* names Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/protocols.py | 2 +- src/orcapod/extension_types/registry.py | 2 +- src/orcapod/extension_types/schema_walker.py | 2 +- .../test_builtin_logical_types.py | 14 ++------------ 4 files changed, 5 insertions(+), 15 deletions(-) diff --git a/src/orcapod/extension_types/protocols.py b/src/orcapod/extension_types/protocols.py index 8bb2d7b5..4e90bda5 100644 --- a/src/orcapod/extension_types/protocols.py +++ b/src/orcapod/extension_types/protocols.py @@ -36,7 +36,7 @@ class LogicalTypeProtocol(Protocol): def logical_type_name(self) -> str: """Unique orcapod identifier for this logical type. - By convention the Python fully qualified name (e.g. ``"uuid.UUID"``), but any unique + For built-in types, use an ``orcapod.*`` prefix (e.g. ``"orcapod.uuid"``). Any unique string is valid. Does NOT need to match the Arrow extension type name. """ ... diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index d938ea20..b42e00d7 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -183,7 +183,7 @@ class LogicalTypeRegistry: Example: >>> registry = LogicalTypeRegistry() >>> registry.register_logical_type(my_logical_type) - >>> lt = registry.get_by_logical_name("uuid.UUID") + >>> lt = registry.get_by_logical_name("orcapod.uuid") >>> # Pre-register types at construction: >>> registry = LogicalTypeRegistry(logical_types=[path_lt, uuid_lt]) diff --git a/src/orcapod/extension_types/schema_walker.py b/src/orcapod/extension_types/schema_walker.py index 34a60324..78b1c151 100644 --- a/src/orcapod/extension_types/schema_walker.py +++ b/src/orcapod/extension_types/schema_walker.py @@ -23,7 +23,7 @@ class ExtensionTypeInfo: Attributes: extension_name: The extension type's unique name stored as - ``ARROW:extension:name`` (e.g. ``"pathlib.Path"``). + ``ARROW:extension:name`` (e.g. ``"orcapod.path"``). extension_metadata: The category tag stored as ``ARROW:extension:metadata`` (e.g. ``b"orcapod.dataclass"``). ``None`` when absent or serialised as empty bytes. diff --git a/tests/test_extension_types/test_builtin_logical_types.py b/tests/test_extension_types/test_builtin_logical_types.py index 15b74b35..d6a37457 100644 --- a/tests/test_extension_types/test_builtin_logical_types.py +++ b/tests/test_extension_types/test_builtin_logical_types.py @@ -9,6 +9,8 @@ import pyarrow as pa from upath import UPath +import orcapod + from orcapod.extension_types.protocols import LogicalTypeProtocol from orcapod.extension_types.registry import LogicalTypeRegistry @@ -470,8 +472,6 @@ def test_orcapod_path_alias_is_pathlib_path(): """orcapod.Path is the same object as pathlib.Path.""" import pathlib - import orcapod - assert orcapod.Path is pathlib.Path @@ -479,8 +479,6 @@ def test_orcapod_upath_alias_is_upath_upath(): """orcapod.UPath is the same object as upath.UPath.""" from upath import UPath - import orcapod - assert orcapod.UPath is UPath @@ -488,27 +486,19 @@ def test_orcapod_uuid_alias_is_uuid_uuid(): """orcapod.UUID is the same object as uuid.UUID.""" import uuid - import orcapod - assert orcapod.UUID is uuid.UUID def test_orcapod_path_alias_in_all(): """orcapod.Path appears in orcapod.__all__.""" - import orcapod - assert "Path" in orcapod.__all__ def test_orcapod_upath_alias_in_all(): """orcapod.UPath appears in orcapod.__all__.""" - import orcapod - assert "UPath" in orcapod.__all__ def test_orcapod_uuid_alias_in_all(): """orcapod.UUID appears in orcapod.__all__.""" - import orcapod - assert "UUID" in orcapod.__all__ From 9a0f5f13d3720c92b6ac17ec8f8c4fdc21781f7e Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 22:19:31 +0000 Subject: [PATCH 103/206] chore(plans): add PLT-1670 implementation plan --- ...lt-1670-orcapod-namespace-builtin-types.md | 721 ++++++++++++++++++ 1 file changed, 721 insertions(+) create mode 100644 superpowers/plans/2026-06-15-plt-1670-orcapod-namespace-builtin-types.md diff --git a/superpowers/plans/2026-06-15-plt-1670-orcapod-namespace-builtin-types.md b/superpowers/plans/2026-06-15-plt-1670-orcapod-namespace-builtin-types.md new file mode 100644 index 00000000..4f10b9ee --- /dev/null +++ b/superpowers/plans/2026-06-15-plt-1670-orcapod-namespace-builtin-types.md @@ -0,0 +1,721 @@ +# PLT-1670: Namespace Built-in Extension Types under `orcapod.*` Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use sensei:subagent-driven-development (recommended) or sensei:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Rename the three built-in Arrow extension types from upstream module-path names (`"pathlib.Path"`, `"upath.UPath"`, `"uuid.UUID"`) to Orcapod-owned namespaced names (`"orcapod.path"`, `"orcapod.upath"`, `"orcapod.uuid"`), and expose `Path`, `UPath`, `UUID` type aliases at the top-level `orcapod` namespace. + +**Architecture:** The three `LogicalType` classes in `builtin_logical_types.py` each carry a string constant used as both `logical_type_name` and the Arrow/Polars extension name — changing those constants is the entirety of the rename. Top-level aliases are simple re-exports in `__init__.py` that expose the upstream types under an Orcapod-stable symbol. Tests are updated last to match reality after the TDD red → green cycle. + +**Tech Stack:** Python, PyArrow (extension types), Polars (extension types), pytest via `uv run pytest`. + +--- + +## File Map + +| File | Action | What changes | +|------|--------|-------------| +| `tests/test_extension_types/test_builtin_logical_types.py` | Modify | Update 13 string assertions from old extension names to new `orcapod.*` names; add 5 alias tests | +| `src/orcapod/extension_types/builtin_logical_types.py` | Modify | Rename 6 string constants (2 per class: `_arrow_ext_class`, `_polars_ext_class`), 3 `logical_type_name` class attributes, update module and class docstrings | +| `src/orcapod/__init__.py` | Modify | Add `Path`, `UPath`, `UUID` re-exports with stability docstring; add to `__all__` | + +No other files need to change — the context config (`contexts/data/v0.1.json`) references classes by dotted name, not by extension name string, so it is unaffected. + +--- + +## Task 1: Update tests to assert on new `orcapod.*` extension names + +This is the TDD red step. After this task the test suite will fail with assertion errors until Task 2 fixes the implementation. + +**Files:** +- Modify: `tests/test_extension_types/test_builtin_logical_types.py` + +- [ ] **Step 1: Run the current test suite to confirm it is green before any changes** + +```bash +cd /path/to/orcapod-python +uv run pytest tests/test_extension_types/test_builtin_logical_types.py -v --tb=short 2>&1 | tail -20 +``` + +Expected: all tests pass (green baseline). + +- [ ] **Step 2: Update `test_logical_path_logical_type_name` (line 31)** + +Change: +```python +assert LogicalPath().logical_type_name == "pathlib.Path" +``` +To: +```python +assert LogicalPath().logical_type_name == "orcapod.path" +``` + +- [ ] **Step 3: Update `test_logical_path_arrow_ext_name` (line 44)** + +Change: +```python +assert LogicalPath().get_arrow_extension_type().extension_name == "pathlib.Path" +``` +To: +```python +assert LogicalPath().get_arrow_extension_type().extension_name == "orcapod.path" +``` + +- [ ] **Step 4: Update `test_logical_upath_logical_type_name` (line 103)** + +Change: +```python +assert LogicalUPath().logical_type_name == "upath.UPath" +``` +To: +```python +assert LogicalUPath().logical_type_name == "orcapod.upath" +``` + +- [ ] **Step 5: Update `test_logical_upath_arrow_ext_name` (line 116)** + +Change: +```python +assert LogicalUPath().get_arrow_extension_type().extension_name == "upath.UPath" +``` +To: +```python +assert LogicalUPath().get_arrow_extension_type().extension_name == "orcapod.upath" +``` + +- [ ] **Step 6: Update `test_logical_uuid_logical_type_name` (line 173)** + +Change: +```python +assert LogicalUUID().logical_type_name == "uuid.UUID" +``` +To: +```python +assert LogicalUUID().logical_type_name == "orcapod.uuid" +``` + +- [ ] **Step 7: Update `test_logical_uuid_arrow_ext_name` (lines 187–188)** + +Change: +```python + assert lt.get_arrow_extension_type().extension_name == "uuid.UUID" + assert lt.get_arrow_extension_type().extension_name == lt.logical_type_name +``` +To: +```python + assert lt.get_arrow_extension_type().extension_name == "orcapod.uuid" + assert lt.get_arrow_extension_type().extension_name == lt.logical_type_name +``` + +- [ ] **Step 8: Update `test_logical_uuid_registration_does_not_raise` (lines 248–249)** + +Change: +```python + assert registry.get_by_logical_name("uuid.UUID") is lt + assert registry.get_by_arrow_extension_name("uuid.UUID") is lt +``` +To: +```python + assert registry.get_by_logical_name("orcapod.uuid") is lt + assert registry.get_by_arrow_extension_name("orcapod.uuid") is lt +``` + +- [ ] **Step 9: Update default-context tests — `test_default_context_registry_has_logical_path` (line 384)** + +Change: +```python + lt = registry.get_by_logical_name("pathlib.Path") +``` +To: +```python + lt = registry.get_by_logical_name("orcapod.path") +``` + +- [ ] **Step 10: Update `test_default_context_registry_lookup_by_arrow_name_path` (line 404)** + +Change: +```python + lt = registry.get_by_arrow_extension_name("pathlib.Path") +``` +To: +```python + lt = registry.get_by_arrow_extension_name("orcapod.path") +``` + +- [ ] **Step 11: Update `test_default_context_registry_has_logical_upath` (line 414)** + +Change: +```python + lt = registry.get_by_logical_name("upath.UPath") +``` +To: +```python + lt = registry.get_by_logical_name("orcapod.upath") +``` + +- [ ] **Step 12: Update `test_default_context_registry_has_logical_uuid` (line 434)** + +Change: +```python + lt = registry.get_by_logical_name("uuid.UUID") +``` +To: +```python + lt = registry.get_by_logical_name("orcapod.uuid") +``` + +- [ ] **Step 13: Update `test_default_context_registry_lookup_by_arrow_name_uuid` (line 444)** + +Change: +```python + lt = registry.get_by_arrow_extension_name("uuid.UUID") +``` +To: +```python + lt = registry.get_by_arrow_extension_name("orcapod.uuid") +``` + +- [ ] **Step 14: Run tests to confirm they are now red** + +```bash +uv run pytest tests/test_extension_types/test_builtin_logical_types.py -v --tb=line 2>&1 | grep -E "FAILED|PASSED|ERROR" | head -30 +``` + +Expected: 13 tests now fail with `AssertionError`; all others pass. + +--- + +## Task 2: Rename extension type strings in `builtin_logical_types.py` + +This makes the red tests green. All 6 extension-name string constants, all 3 `logical_type_name` class attributes, and docstrings are updated to the `orcapod.*` namespace. + +**Files:** +- Modify: `src/orcapod/extension_types/builtin_logical_types.py` + +- [ ] **Step 1: Update the module-level docstring** + +Change the opening docstring lines 6–8 from: +```python +- ``LogicalPath``: maps ``pathlib.Path`` ↔ Arrow large_string extension "pathlib.Path" +- ``LogicalUPath``: maps ``upath.UPath`` ↔ Arrow large_string extension "upath.UPath" +- ``LogicalUUID``: maps ``uuid.UUID`` ↔ Arrow large_binary extension "uuid.UUID" +``` +To: +```python +- ``LogicalPath``: maps ``pathlib.Path`` ↔ Arrow large_string extension ``"orcapod.path"`` +- ``LogicalUPath``: maps ``upath.UPath`` ↔ Arrow large_string extension ``"orcapod.upath"`` +- ``LogicalUUID``: maps ``uuid.UUID`` ↔ Arrow large_binary extension ``"orcapod.uuid"`` +``` + +And replace the full module docstring with the updated version that adds the stability rationale note: + +```python +"""Built-in LogicalType implementations for orcapod. + +Provides three built-in logical types registered into the default +``DataContext.logical_type_registry`` via ``contexts/data/v0.1.json``: + +- ``LogicalPath``: maps ``pathlib.Path`` ↔ Arrow large_string extension ``"orcapod.path"`` +- ``LogicalUPath``: maps ``upath.UPath`` ↔ Arrow large_string extension ``"orcapod.upath"`` +- ``LogicalUUID``: maps ``uuid.UUID`` ↔ Arrow large_binary extension ``"orcapod.uuid"`` + +All three types use the ``orcapod.*`` extension name namespace rather than the upstream +module-qualified names (``"pathlib.Path"``, etc.). This gives Orcapod stable ownership of +the on-disk extension identity: even if the upstream library is renamed or restructured, +data written with these extension names continues to be readable without modification. + +Note: + All imports from orcapod.extension_types use direct submodule paths + (e.g. ``from orcapod.extension_types.registry import ...``) rather than + the package ``__init__`` to avoid circular imports when the context system + loads this module at startup. +""" +``` + +- [ ] **Step 2: Update `LogicalPath` class — class attributes and docstrings** + +Replace the `LogicalPath` class definition (lines 30–94) with: + +```python +class LogicalPath: + """Logical type for ``pathlib.Path``. + + Stores paths as Arrow large strings using the custom extension type + ``"orcapod.path"``. + + The extension name ``"orcapod.path"`` is Orcapod-owned and stable; it does not + depend on the upstream ``pathlib`` module path. Use ``orcapod.Path`` (a top-level + alias for ``pathlib.Path``) as the preferred way to reference this type in user code. + + Example: + >>> lt = LogicalPath() + >>> lt.python_to_storage(pathlib.Path("/tmp/foo")) + '/tmp/foo' + >>> lt.storage_to_python('/tmp/foo') + PosixPath('/tmp/foo') + """ + + _arrow_ext_class = make_arrow_extension_type("orcapod.path", pa.large_string()) + _arrow_ext: pa.ExtensionType | None = None + _polars_ext_class = make_polars_extension_type("orcapod.path", pa.large_string()) + _polars_ext: pl.BaseExtension | None = None + + logical_type_name: str = "orcapod.path" + python_type: type = pathlib.Path + + def get_arrow_extension_type(self) -> pa.ExtensionType: + """Return the Arrow extension type for ``pathlib.Path``. + + Returns: + A cached ``pa.ExtensionType`` instance with extension name + ``"orcapod.path"`` and storage type ``pa.large_string()``. + """ + if LogicalPath._arrow_ext is None: + LogicalPath._arrow_ext = LogicalPath._arrow_ext_class() + return LogicalPath._arrow_ext + + def get_polars_extension_type(self) -> pl.BaseExtension: + """Return the Polars extension type for ``pathlib.Path``. + + Returns: + A cached ``pl.BaseExtension`` instance registered under + ``"orcapod.path"``. + """ + if LogicalPath._polars_ext is None: + LogicalPath._polars_ext = LogicalPath._polars_ext_class() + return LogicalPath._polars_ext + + def python_to_storage(self, value: Any) -> str: + """Convert a ``pathlib.Path`` to its string representation. + + Args: + value: A ``pathlib.Path`` instance. + + Returns: + The string form of the path (e.g. ``"/tmp/foo"``). + """ + return str(value) + + def storage_to_python(self, storage_value: Any) -> pathlib.Path: + """Reconstruct a ``pathlib.Path`` from its string representation. + + Args: + storage_value: A string path as stored in Arrow. + + Returns: + A ``pathlib.Path`` instance. + """ + return pathlib.Path(storage_value) +``` + +- [ ] **Step 3: Update `LogicalUPath` class — class attributes and docstrings** + +Replace the `LogicalUPath` class definition (lines 97–161) with: + +```python +class LogicalUPath: + """Logical type for ``upath.UPath``. + + Stores paths as Arrow large strings using the custom extension type + ``"orcapod.upath"``. + + The extension name ``"orcapod.upath"`` is Orcapod-owned and stable; it does not + depend on the upstream ``upath`` module path. Use ``orcapod.UPath`` (a top-level + alias for ``upath.UPath``) as the preferred way to reference this type in user code. + + Example: + >>> lt = LogicalUPath() + >>> lt.python_to_storage(UPath("s3://bucket/key")) + 's3://bucket/key' + >>> lt.storage_to_python("s3://bucket/key") + UPath('s3://bucket/key') + """ + + _arrow_ext_class = make_arrow_extension_type("orcapod.upath", pa.large_string()) + _arrow_ext: pa.ExtensionType | None = None + _polars_ext_class = make_polars_extension_type("orcapod.upath", pa.large_string()) + _polars_ext: pl.BaseExtension | None = None + + logical_type_name: str = "orcapod.upath" + python_type: type = UPath + + def get_arrow_extension_type(self) -> pa.ExtensionType: + """Return the Arrow extension type for ``upath.UPath``. + + Returns: + A cached ``pa.ExtensionType`` instance with extension name + ``"orcapod.upath"`` and storage type ``pa.large_string()``. + """ + if LogicalUPath._arrow_ext is None: + LogicalUPath._arrow_ext = LogicalUPath._arrow_ext_class() + return LogicalUPath._arrow_ext + + def get_polars_extension_type(self) -> pl.BaseExtension: + """Return the Polars extension type for ``upath.UPath``. + + Returns: + A cached ``pl.BaseExtension`` instance registered under + ``"orcapod.upath"``. + """ + if LogicalUPath._polars_ext is None: + LogicalUPath._polars_ext = LogicalUPath._polars_ext_class() + return LogicalUPath._polars_ext + + def python_to_storage(self, value: Any) -> str: + """Convert a ``upath.UPath`` to its string representation. + + Args: + value: A ``upath.UPath`` instance. + + Returns: + The string form of the path (e.g. ``"s3://bucket/key"``). + """ + return str(value) + + def storage_to_python(self, storage_value: Any) -> UPath: + """Reconstruct a ``upath.UPath`` from its string representation. + + Args: + storage_value: A string path as stored in Arrow. + + Returns: + A ``upath.UPath`` instance. + """ + return UPath(storage_value) +``` + +- [ ] **Step 4: Update `LogicalUUID` class — class attributes and docstrings** + +Replace the `LogicalUUID` class definition (lines 164–236) with: + +```python +class LogicalUUID: + """Logical type for ``uuid.UUID``. + + Stores UUIDs as Arrow binary (16 bytes) using the custom extension type + ``"orcapod.uuid"``. Both the Arrow extension name and ``logical_type_name`` + are ``"orcapod.uuid"``, consistent with ``LogicalPath`` and ``LogicalUPath``. + + The extension name ``"orcapod.uuid"`` is Orcapod-owned and stable, replacing + the previous ``"uuid.UUID"`` name that mirrored PyArrow's ``"arrow.uuid"`` + territory. Use ``orcapod.UUID`` (a top-level alias for ``uuid.UUID``) as the + preferred way to reference this type in user code. + + The storage type is ``pa.large_binary()`` (variable-length binary), using + big-endian byte order as returned by ``uuid.UUID.bytes``. ``large_binary`` + is used rather than ``pa.binary(16)`` (fixed-size) because Polars maps + fixed-size binary to variable-length on the round-trip, which would + conflict with the deserializer's storage type check. + + Example: + >>> import uuid + >>> lt = LogicalUUID() + >>> u = uuid.uuid4() + >>> lt.storage_to_python(lt.python_to_storage(u)) == u + True + """ + + _arrow_ext_class = make_arrow_extension_type("orcapod.uuid", pa.large_binary()) + _arrow_ext: pa.ExtensionType | None = None + _polars_ext_class = make_polars_extension_type("orcapod.uuid", pa.large_binary()) + _polars_ext: pl.BaseExtension | None = None + + logical_type_name: str = "orcapod.uuid" + python_type: type = _uuid_module.UUID + + def get_arrow_extension_type(self) -> pa.ExtensionType: + """Return the Arrow extension type for ``uuid.UUID``. + + Returns: + A cached ``pa.ExtensionType`` instance with extension name + ``"orcapod.uuid"`` and storage type ``pa.large_binary()``. + """ + if LogicalUUID._arrow_ext is None: + LogicalUUID._arrow_ext = LogicalUUID._arrow_ext_class() + return LogicalUUID._arrow_ext + + def get_polars_extension_type(self) -> pl.BaseExtension: + """Return the Polars extension type for ``uuid.UUID``. + + Returns: + A cached ``pl.BaseExtension`` instance registered under + ``"orcapod.uuid"``. + """ + if LogicalUUID._polars_ext is None: + LogicalUUID._polars_ext = LogicalUUID._polars_ext_class() + return LogicalUUID._polars_ext + + def python_to_storage(self, value: Any) -> bytes: + """Convert a ``uuid.UUID`` to its 16-byte binary representation. + + Args: + value: A ``uuid.UUID`` instance. + + Returns: + A 16-byte ``bytes`` object (big-endian byte order, as per + ``uuid.UUID.bytes``). + """ + return value.bytes + + def storage_to_python(self, storage_value: Any) -> _uuid_module.UUID: + """Reconstruct a ``uuid.UUID`` from its 16-byte binary representation. + + Args: + storage_value: A bytes-like object of length 16. + + Returns: + A ``uuid.UUID`` instance. + """ + return _uuid_module.UUID(bytes=bytes(storage_value)) +``` + +- [ ] **Step 5: Run the failing tests to confirm they are now green** + +```bash +uv run pytest tests/test_extension_types/test_builtin_logical_types.py -v --tb=short 2>&1 | tail -20 +``` + +Expected: all tests pass. + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/extension_types/builtin_logical_types.py \ + tests/test_extension_types/test_builtin_logical_types.py +git commit -m "feat(extension_types): rename built-in extension types to orcapod.* namespace + +LogicalPath: 'pathlib.Path' -> 'orcapod.path' +LogicalUPath: 'upath.UPath' -> 'orcapod.upath' +LogicalUUID: 'uuid.UUID' -> 'orcapod.uuid' + +Orcapod now owns the canonical extension identity for all three built-in +types, decoupling on-disk names from upstream library module paths." +``` + +--- + +## Task 3: Add tests for top-level `orcapod.Path`, `orcapod.UPath`, `orcapod.UUID` aliases + +TDD red step for the alias feature. These tests will fail until Task 4 adds the aliases. + +**Files:** +- Modify: `tests/test_extension_types/test_builtin_logical_types.py` + +- [ ] **Step 1: Append the alias test block at the end of the test file** + +Add the following to the end of `tests/test_extension_types/test_builtin_logical_types.py`: + +```python +# --------------------------------------------------------------------------- +# Top-level orcapod namespace alias tests +# --------------------------------------------------------------------------- + + +def test_orcapod_path_alias_is_pathlib_path(): + """orcapod.Path is the same object as pathlib.Path.""" + import pathlib + + import orcapod + + assert orcapod.Path is pathlib.Path + + +def test_orcapod_upath_alias_is_upath_upath(): + """orcapod.UPath is the same object as upath.UPath.""" + from upath import UPath + + import orcapod + + assert orcapod.UPath is UPath + + +def test_orcapod_uuid_alias_is_uuid_uuid(): + """orcapod.UUID is the same object as uuid.UUID.""" + import uuid + + import orcapod + + assert orcapod.UUID is uuid.UUID + + +def test_orcapod_path_alias_in_all(): + """orcapod.Path appears in orcapod.__all__.""" + import orcapod + + assert "Path" in orcapod.__all__ + + +def test_orcapod_upath_alias_in_all(): + """orcapod.UPath appears in orcapod.__all__.""" + import orcapod + + assert "UPath" in orcapod.__all__ + + +def test_orcapod_uuid_alias_in_all(): + """orcapod.UUID appears in orcapod.__all__.""" + import orcapod + + assert "UUID" in orcapod.__all__ +``` + +- [ ] **Step 2: Run the new tests to confirm they are red** + +```bash +uv run pytest tests/test_extension_types/test_builtin_logical_types.py -v -k "alias" --tb=short 2>&1 +``` + +Expected: 6 tests fail with `AttributeError: module 'orcapod' has no attribute 'Path'` (or similar). + +--- + +## Task 4: Add `Path`, `UPath`, `UUID` aliases to `src/orcapod/__init__.py` + +**Files:** +- Modify: `src/orcapod/__init__.py` + +- [ ] **Step 1: Add the alias imports and `__all__` entries** + +Replace the entire content of `src/orcapod/__init__.py` with: + +```python +from .config import ( + DEFAULT_CONFIG, + DisplayConfig, + HashingConfig, + OrcapodConfig, + load_config, +) +from .core.function_pod import ( + FunctionPod, + function_pod, +) +from .core.nodes.source_node import SourceNode +from .pipeline import Pipeline, PipelineJob +from .semantic_types.dataclass_encoding import register_dataclass + +# Subpackage re-exports for clean public API +from . import databases # noqa: F401 +from . import nodes # noqa: F401 +from . import operators # noqa: F401 +from . import sources # noqa: F401 +from . import streams # noqa: F401 +from . import types # noqa: F401 + +# Stable type aliases — preferred over importing directly from pathlib/upath/uuid. +# +# These aliases are the recommended way to reference these types in orcapod user code. +# Even if an upstream library is renamed or restructured, these symbols remain stable +# at ``orcapod.Path``, ``orcapod.UPath``, and ``orcapod.UUID``. Their Arrow extension +# types are registered under the ``orcapod.*`` namespace (``"orcapod.path"``, +# ``"orcapod.upath"``, ``"orcapod.uuid"``), so on-disk identity is also decoupled +# from upstream module paths. +from pathlib import Path +from upath import UPath +from uuid import UUID + +__all__ = [ + "DEFAULT_CONFIG", + "DisplayConfig", + "HashingConfig", + "OrcapodConfig", + "load_config", + "FunctionPod", + "function_pod", + "Pipeline", + "PipelineJob", + "SourceNode", + "register_dataclass", + "databases", + "nodes", + "operators", + "sources", + "streams", + "types", + # Stable type aliases + "Path", + "UPath", + "UUID", +] +``` + +- [ ] **Step 2: Run the alias tests to confirm they are now green** + +```bash +uv run pytest tests/test_extension_types/test_builtin_logical_types.py -v -k "alias" --tb=short 2>&1 +``` + +Expected: all 6 alias tests pass. + +- [ ] **Step 3: Run the full builtin logical types test suite** + +```bash +uv run pytest tests/test_extension_types/test_builtin_logical_types.py -v --tb=short 2>&1 | tail -20 +``` + +Expected: all tests pass (the full suite, not just alias tests). + +- [ ] **Step 4: Run the broader extension_types test suite to check for regressions** + +```bash +uv run pytest tests/test_extension_types/ -v --tb=short 2>&1 | tail -30 +``` + +Expected: all tests pass. + +- [ ] **Step 5: Commit** + +```bash +git add src/orcapod/__init__.py \ + tests/test_extension_types/test_builtin_logical_types.py +git commit -m "feat(orcapod): expose Path, UPath, UUID as stable top-level aliases + +Adds orcapod.Path, orcapod.UPath, orcapod.UUID as re-exports of +pathlib.Path, upath.UPath, and uuid.UUID respectively. These are the +preferred symbols for user code — stable even if upstream libraries +rename their types or module paths." +``` + +--- + +## Task 5: Final verification — full test suite + +- [ ] **Step 1: Run the complete test suite** + +```bash +uv run pytest tests/ -x --tb=short 2>&1 | tail -40 +``` + +Expected: all tests pass (no regressions in any other test module). + +- [ ] **Step 2: Verify the branch is clean and ready for PR** + +```bash +git status +git log --oneline origin/extension-type-system..HEAD +``` + +Expected: 2 commits ahead of `extension-type-system`, working tree clean. + +--- + +## Self-Review Checklist + +**Spec coverage:** + +| Requirement | Task that covers it | +|-------------|-------------------| +| `LogicalPath` registers under `"orcapod.path"` | Task 2 Step 2 | +| `LogicalUPath` registers under `"orcapod.upath"` | Task 2 Step 3 | +| `LogicalUUID` registers under `"orcapod.uuid"` | Task 2 Step 4 | +| `orcapod.uuid` no longer conflicts with `arrow.uuid` | Task 2 Step 4 (new name `"orcapod.uuid"` vs PyArrow's `"arrow.uuid"`) | +| `orcapod.Path` alias exposed at top-level | Task 4 Step 1 | +| `orcapod.UPath` alias exposed at top-level | Task 4 Step 1 | +| `orcapod.UUID` alias exposed at top-level | Task 4 Step 1 | +| Aliases documented as preferred + stability rationale | Task 4 Step 1 (comment block) | +| Stability rationale in module docstring | Task 2 Step 1 | +| Existing round-trip behavior continues to work | Task 5 Step 1 | +| Unit tests updated to assert `orcapod.*` names | Task 1 + Task 3 | + +**No placeholders:** All steps contain exact code. No "TBD" or "similar to above" references. + +**Type consistency:** `logical_type_name` constants and `extension_name` strings are consistent across Tasks 1, 2, 3, and 4 — `"orcapod.path"`, `"orcapod.upath"`, `"orcapod.uuid"` throughout. From 753eeae35d736c88c8d128d30fce868df64accaa Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Mon, 15 Jun 2026 22:47:54 +0000 Subject: [PATCH 104/206] test(extension_types): add alias round-trip tests for Path, UPath, UUID MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Verifies that using stdlib types (pathlib.Path, upath.UPath, uuid.UUID) directly — rather than their orcapod.* aliases — still round-trips through Arrow with the correct orcapod.* extension type and recovers the same value. Each test asserts the orcapod.X is X precondition explicitly so the contract is self-documenting. --- .../test_builtin_logical_types.py | 128 ++++++++++++++++++ 1 file changed, 128 insertions(+) diff --git a/tests/test_extension_types/test_builtin_logical_types.py b/tests/test_extension_types/test_builtin_logical_types.py index d6a37457..48b54313 100644 --- a/tests/test_extension_types/test_builtin_logical_types.py +++ b/tests/test_extension_types/test_builtin_logical_types.py @@ -502,3 +502,131 @@ def test_orcapod_upath_alias_in_all(): def test_orcapod_uuid_alias_in_all(): """orcapod.UUID appears in orcapod.__all__.""" assert "UUID" in orcapod.__all__ + + +# --------------------------------------------------------------------------- +# Alias round-trip tests: using the stdlib types directly still works +# --------------------------------------------------------------------------- +# These tests verify that orcapod.Path / orcapod.UPath / orcapod.UUID are true +# aliases, not wrappers. Because e.g. orcapod.UUID is uuid.UUID, using +# uuid.UUID directly produces the same orcapod.uuid Arrow extension type, and +# the value recovered from Arrow is a uuid.UUID (i.e. also an orcapod.UUID). +# Each test asserts the identity precondition first so the contract is clear. +# --------------------------------------------------------------------------- + + +def test_pathlib_path_works_via_orcapod_path_alias_arrow_round_trip(): + """pathlib.Path values round-trip through Arrow with the orcapod.path extension type. + + This test is only valid because orcapod.Path is pathlib.Path — they are the same + object. Using pathlib.Path directly (rather than orcapod.Path) produces the same + Arrow extension type (``"orcapod.path"``), and the recovered value is a + pathlib.Path (i.e. orcapod.Path). + """ + from orcapod.extension_types.builtin_logical_types import LogicalPath + + # Precondition: test is only meaningful if orcapod.Path is pathlib.Path + assert orcapod.Path is pathlib.Path + + lt = LogicalPath() + registry = LogicalTypeRegistry() + registry.register_logical_type(lt) + + # Create value using stdlib pathlib directly (not orcapod.Path) + p = pathlib.Path("/tmp/alias_test/foo.txt") + + # Registry can find LogicalPath via pathlib.Path since orcapod.Path is pathlib.Path + found = registry.get_by_python_type(pathlib.Path) + assert found is lt + + # Saving to Arrow produces "orcapod.path" extension type + storage_val = lt.python_to_storage(p) + arrow_ext = lt.get_arrow_extension_type() + assert arrow_ext.extension_name == "orcapod.path" + ext_arr = pa.ExtensionArray.from_storage( + arrow_ext, pa.array([storage_val], type=arrow_ext.storage_type) + ) + + # Recovered value is a pathlib.Path (which is orcapod.Path) + recovered = lt.storage_to_python(ext_arr.storage[0].as_py()) + assert recovered == p + assert isinstance(recovered, orcapod.Path) # valid because orcapod.Path is pathlib.Path + assert isinstance(recovered, pathlib.Path) + + +def test_upath_upath_works_via_orcapod_upath_alias_arrow_round_trip(): + """upath.UPath values round-trip through Arrow with the orcapod.upath extension type. + + This test is only valid because orcapod.UPath is upath.UPath — they are the same + object. Using upath.UPath directly (rather than orcapod.UPath) produces the same + Arrow extension type (``"orcapod.upath"``), and the recovered value is a + upath.UPath (i.e. orcapod.UPath). + """ + from orcapod.extension_types.builtin_logical_types import LogicalUPath + + # Precondition: test is only meaningful if orcapod.UPath is upath.UPath + assert orcapod.UPath is UPath + + lt = LogicalUPath() + registry = LogicalTypeRegistry() + registry.register_logical_type(lt) + + # Create value using upath directly (not orcapod.UPath) + up = UPath("s3://bucket/alias_test/key.txt") + + # Registry can find LogicalUPath via UPath since orcapod.UPath is upath.UPath + found = registry.get_by_python_type(UPath) + assert found is lt + + # Saving to Arrow produces "orcapod.upath" extension type + storage_val = lt.python_to_storage(up) + arrow_ext = lt.get_arrow_extension_type() + assert arrow_ext.extension_name == "orcapod.upath" + ext_arr = pa.ExtensionArray.from_storage( + arrow_ext, pa.array([storage_val], type=arrow_ext.storage_type) + ) + + # Recovered value is a upath.UPath (which is orcapod.UPath) + recovered = lt.storage_to_python(ext_arr.storage[0].as_py()) + assert recovered == up + assert isinstance(recovered, orcapod.UPath) # valid because orcapod.UPath is upath.UPath + assert isinstance(recovered, UPath) + + +def test_uuid_uuid_works_via_orcapod_uuid_alias_arrow_round_trip(): + """uuid.UUID values round-trip through Arrow with the orcapod.uuid extension type. + + This test is only valid because orcapod.UUID is uuid.UUID — they are the same + object. Using uuid.UUID directly (rather than orcapod.UUID) produces the same + Arrow extension type (``"orcapod.uuid"``), and the recovered value is a + uuid.UUID (i.e. orcapod.UUID). + """ + from orcapod.extension_types.builtin_logical_types import LogicalUUID + + # Precondition: test is only meaningful if orcapod.UUID is uuid.UUID + assert orcapod.UUID is uuid_module.UUID + + lt = LogicalUUID() + registry = LogicalTypeRegistry() + registry.register_logical_type(lt) + + # Create value using stdlib uuid directly (not orcapod.UUID) + u = uuid_module.UUID("12345678-1234-5678-1234-567812345678") + + # Registry can find LogicalUUID via uuid.UUID since orcapod.UUID is uuid.UUID + found = registry.get_by_python_type(uuid_module.UUID) + assert found is lt + + # Saving to Arrow produces "orcapod.uuid" extension type + storage_val = lt.python_to_storage(u) + arrow_ext = lt.get_arrow_extension_type() + assert arrow_ext.extension_name == "orcapod.uuid" + ext_arr = pa.ExtensionArray.from_storage( + arrow_ext, pa.array([storage_val], type=arrow_ext.storage_type) + ) + + # Recovered value is a uuid.UUID (which is orcapod.UUID) + recovered = lt.storage_to_python(ext_arr.storage[0].as_py()) + assert recovered == u + assert isinstance(recovered, orcapod.UUID) # valid because orcapod.UUID is uuid.UUID + assert isinstance(recovered, uuid_module.UUID) From 13e488087e45f19b709a558d2d6643605102e424 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 07:21:50 +0000 Subject: [PATCH 105/206] docs(specs): add PLT-1705 type registration spine refactor design spec --- ...t-1705-type-registration-spine-refactor.md | 353 ++++++++++++++++++ 1 file changed, 353 insertions(+) create mode 100644 superpowers/specs/2026-06-16-plt-1705-type-registration-spine-refactor.md diff --git a/superpowers/specs/2026-06-16-plt-1705-type-registration-spine-refactor.md b/superpowers/specs/2026-06-16-plt-1705-type-registration-spine-refactor.md new file mode 100644 index 00000000..7384b421 --- /dev/null +++ b/superpowers/specs/2026-06-16-plt-1705-type-registration-spine-refactor.md @@ -0,0 +1,353 @@ +# PLT-1705: Type Registration Spine Refactor and DataclassHandlerFactory + +**Issue:** PLT-1705 +**Date:** 2026-06-16 +**Project:** Orcapod: Arrow/Polars Extension Type Semantic Type System +**Branch:** `eywalker/plt-1705-refactor-type-registration-spine-and-implement` + +--- + +## Overview + +`UniversalTypeConverter` becomes the **single re-entry point** for all Python ↔ Arrow type +registration and value conversion. `LogicalTypeRegistry` becomes its private implementation +detail. Factories and logical types are thin leaf nodes with no upward dependencies beyond +the `TypeConverterProtocol`. + +This supersedes PLT-1657 and closes PR #174 without merging. `DataclassHandlerFactory` is +implemented from scratch on the refined architecture. + +--- + +## Core design principle + +`UniversalTypeConverter` owns all traversal of Python annotations and Arrow types in both +directions. Everything that used to be split across `LogicalTypeRegistry.ensure_*` methods +moves into two symmetric public methods on the converter: + +| Direction | Method | Input | Output | +|---|---|---|---| +| Write (register) | `register_python_class(annotation)` | Python type annotation | `pa.DataType` | +| Read (register) | `register_storage_type(arrow_type)` | `pa.DataType` | `pa.DataType` | + +Both methods walk their input recursively, register any new logical types encountered as a +side effect, and return the normalised Arrow type with extension types embedded. + +--- + +## Section 1: Protocol changes (`extension_types/protocols.py`) + +### New: `TypeConverterProtocol` + +Minimal protocol exposing what factories and logical types need from the converter. +Placed in `protocols.py` to avoid circular imports. + +```python +class TypeConverterProtocol(Protocol): + def register_python_class(self, annotation: Any) -> pa.DataType: ... + def register_storage_type(self, arrow_type: pa.DataType) -> pa.DataType: ... + def python_to_storage(self, value: Any, annotation: Any) -> Any: ... + def storage_to_python(self, storage_value: Any, annotation: Any) -> Any: ... +``` + +### Updated: `LogicalTypeFactoryProtocol` + +`supports_class` is added (write-side probe). Both factory methods receive `converter` +instead of `registry` and `ResolutionContext`. + +```python +class LogicalTypeFactoryProtocol(Protocol): + def supports_class(self, python_type: type) -> bool: ... + + def create_for_python_type( + self, + python_type: type, + converter: TypeConverterProtocol, + ) -> LogicalTypeProtocol: ... + + def reconstruct_from_arrow( + self, + arrow_extension_name: str, + storage_type: pa.DataType, + metadata: dict[str, Any], + converter: TypeConverterProtocol, + ) -> LogicalTypeProtocol: ... +``` + +### Updated: `LogicalTypeProtocol` + +Value conversion methods receive `converter`. Built-in implementations accept and ignore it; +`DataclassLogicalType` uses it for per-field recursion. + +```python +def python_to_storage(self, value: Any, converter: TypeConverterProtocol) -> Any: ... +def storage_to_python(self, storage_value: Any, converter: TypeConverterProtocol) -> Any: ... +``` + +--- + +## Section 2: Registry becomes a thin data store (`extension_types/registry.py`) + +### Public surface retained + +- `register_logical_type(lt)` +- `register_logical_type_factory(factory, *, category, python_bases)` +- `get_by_python_type`, `get_by_arrow_extension_name`, `get_by_logical_name` + +### Removed + +- `ensure_logical_type_for_python_class` — logic moves into `UniversalTypeConverter.register_python_class` +- `ensure_extension_type` — logic moves into `UniversalTypeConverter.register_storage_type` + +The registry is never passed to factories. It is an internal data structure of the converter. + +--- + +## Section 3: `UniversalTypeConverter` — single re-entry point (`semantic_types/universal_converter.py`) + +### `register_python_class(annotation) -> pa.DataType` + +Write-side re-entry point. Traverses Python annotations recursively. + +- **Primitive** → return from type map directly (no side effects) +- **Registry hit** (concrete type already in `_registry`) → return `lt.get_arrow_extension_type()` +- **Generics** (recurse structurally): + - `list[T]` → `pa.large_list(register_python_class(T))` + - `dict[K, V]` → `pa.large_list(pa.struct([field("key", K), field("value", V)]))` + - `Optional[T]` / `T | None` → `register_python_class(T)` (nullability at field level) + - `set[T]` → `pa.large_list(register_python_class(T))` +- **Registry miss** on concrete type → MRO walk over `_python_class_factories`, call + `factory.supports_class(type)` to find match, call + `factory.create_for_python_type(type, converter=self)`, register result, return extension type +- **Cycle detection** via `_in_progress: set[type]` instance variable: if a type is already + being synthesised, raise `TypeError` + +### `register_storage_type(arrow_type: pa.DataType) -> pa.DataType` + +Read-side re-entry point. Traverses Arrow types recursively, bottom-up. + +- **Primitive** → return as-is +- **`pa.ExtensionType`**: + - Registry hit → return immediately (no-op) + - Registry miss → recurse into `storage_type` first (bottom-up resolution), then parse + metadata, find factory by `"category"` key, call + `factory.reconstruct_from_arrow(name, resolved_storage_type, metadata, converter=self)`, + register result, return extension type +- **`pa.StructType`** → recurse into each field, reassemble with resolved field types +- **`pa.ListType` / `pa.LargeListType`** → recurse into value type, reassemble + +The bottom-up order guarantees that when a factory receives `storage_type`, all nested +extension types within it are already registered and resolved. + +**Example** — `my_data.Dataset` (dataclass) wrapping `struct{a: i32, b: list[orcapod.uuid]}`: + +``` +register_storage_type(my_data.Dataset ext → struct{a:i32, b:list[large_binary w/ orcapod.uuid]}) + recurse into storage: + register_storage_type(struct{a:i32, b:list[orcapod.uuid ext]}) + field a: i32 → i32 + field b: register_storage_type(list[orcapod.uuid ext]) + register_storage_type(orcapod.uuid ext) → registry hit → orcapod.uuid ext + → list[orcapod.uuid ext] + → struct{a:i32, b:list[orcapod.uuid ext]} ← resolved storage type + my_data.Dataset: registry miss + → factory.reconstruct_from_arrow("my_data.Dataset", + struct{a:i32, b:list[orcapod.uuid ext]}, ← resolved, not raw + {"category":"orcapod.dataclass"}, converter=self) + → register → return my_data.Dataset ext type +``` + +### Value conversion methods + +```python +def python_to_storage(self, value: Any, annotation: Any) -> Any: ... +def storage_to_python(self, storage_value: Any, annotation: Any) -> Any: ... +``` + +Thin wrappers over the existing `get_python_to_arrow_converter` / +`get_arrow_to_python_converter` machinery. For extension types, the generated converter +calls `lt.python_to_storage(value, converter=self)` / `lt.storage_to_python(value, converter=self)`. +These are needed by `DataclassLogicalType` for per-field delegation back to the converter. + +### Registration pass-throughs + +```python +def register_logical_type(self, lt: LogicalTypeProtocol) -> None: + self._registry.register_logical_type(lt) + +def register_logical_type_factory( + self, factory: LogicalTypeFactoryProtocol, + *, category: str | None = None, + python_bases: Iterable[type] = (), +) -> None: + self._registry.register_logical_type_factory(factory, category=category, python_bases=python_bases) +``` + +External code that previously used `context.logical_type_registry.register_*` now uses +`context.type_converter.register_*`. + +### `ensure_types_registered_for_schemas` (simplified) + +```python +def ensure_types_registered_for_schemas(self, *schemas: Schema) -> None: + for schema in schemas: + for annotation in schema.values(): + self.register_python_class(annotation) +``` + +### Removals + +- `semantic_registry` constructor parameter and all its usage in `_convert_python_to_arrow` + / `_convert_arrow_to_python` — removed +- All `dataclass_encoding` imports and the old sentinel-based dataclass struct path — removed; + `dataclass_encoding.py` is deleted + +--- + +## Section 4: `DataclassHandlerFactory` (`extension_types/dataclass_handler.py` — new file) + +### `DataclassLogicalType` + +Thin holder of identity, schema, and field annotations. No pre-baked converters. + +```python +def python_to_storage(self, value, converter): + return { + name: converter.python_to_storage(getattr(value, name), annotation) + for name, annotation in self._field_annotations + } + +def storage_to_python(self, storage_value, converter): + return self._python_type(**{ + name: converter.storage_to_python(storage_value[name], annotation) + for name, annotation in self._field_annotations + }) +``` + +`_field_annotations: list[tuple[str, type]]` stores `(field_name, python_annotation)` pairs. +No Arrow types stored in the logical type — the converter owns all Arrow-level reasoning. + +### `DataclassHandlerFactory` + +Stateless. Approximately 30 lines of logic. + +**`supports_class(python_type)`**: `return dataclasses.is_dataclass(python_type)` + +**`create_for_python_type(python_type, converter)`** (write path): +1. Reject local / unnamed classes (no stable FQCN) with hard `ValueError` +2. `get_type_hints(python_type)` to obtain field annotations +3. Iterate `dataclasses.fields(python_type)`; for each field: + `arrow_type = converter.register_python_class(annotation)` — all traversal delegated to converter +4. Assemble `pa.struct([pa.field(name, arrow_type), ...])` and `field_annotations` list +5. Return `DataclassLogicalType(fqcn, python_type, storage_type, field_annotations)` + +`dict[K, V]` fields encode as `list[struct{key:K, value:V}]` — owned entirely by +`converter.register_python_class`, no special handling in the factory. + +**`reconstruct_from_arrow(name, storage_type, metadata, converter)`** (read path): +1. Import class from `name` (FQCN) using longest-prefix module walk — hard `ImportError` if not found +2. `get_type_hints(imported_cls)` → build `field_annotations` matched against `storage_type`'s fields +3. `storage_type` is already resolved (sub-extension types embedded, bottom-up by `register_storage_type`) +4. Factory does **not** call `converter.register_storage_type` for sub-fields — already done +5. Return `DataclassLogicalType(name, imported_cls, storage_type, field_annotations)` + +--- + +## Section 5: `DataContext` and context wiring + +**`contexts/core.py`**: `logical_type_registry: LogicalTypeRegistry` field removed. +`type_converter` is the sole public API for type operations. + +**`contexts/__init__.py`**: `get_default_logical_type_registry()` removed. + +**`contexts/registry.py`**: `_create_context_from_spec` no longer passes `logical_type_registry` +to `DataContext`. The `LogicalTypeRegistry` is constructed as a nested object inside +`type_converter`'s config — it never appears as a top-level `ref_lut` entry. + +**`contexts/data/v0.1.json`**: +- Top-level `logical_type_registry` key removed +- Registry construction (with built-in `logical_types` list) moves into `type_converter`'s `_config` +- `semantic_registry` reference removed from `type_converter`'s `_config` + +**`contexts/data/schemas/context_schema.json`**: +- Remove `logical_type_registry` from required fields and properties + +--- + +## Section 6: `database_hooks.py` and `ExtensionAwareDatabase` + +**`register_discovered_extensions`** simplifies to: + +```python +def register_discovered_extensions(converter: TypeConverterProtocol, schema: pa.Schema) -> None: + for field in schema: + converter.register_storage_type(field.type) +``` + +The schema walker's depth-first extension-field extraction is no longer needed here — +`register_storage_type` owns that traversal. `schema_walker.py` itself is retained (other +callers may use it). + +**`databases/extension_aware_database.py`**: takes `converter: TypeConverterProtocol` +(was `registry: LogicalTypeRegistry`). Internal call sites updated accordingly. + +--- + +## Section 7: Deletions, built-in updates, and testing + +### Deleted files + +| File | Reason | +|---|---| +| `semantic_types/dataclass_encoding.py` | Superseded by `DataclassHandlerFactory` + converter | + +### Files with removed usages + +| File | What is removed | +|---|---| +| `semantic_types/universal_converter.py` | `semantic_registry` usage, `dataclass_encoding` imports | +| `extension_types/type_utils.py` | `extract_leaf_classes` made private (`_extract_leaf_classes`) or removed; traversal lives in converter | + +### Built-in logical types (`builtin_logical_types.py`) + +`LogicalPath`, `LogicalUUID`, `LogicalUPath` — add `converter` param (accepted, ignored) to +`python_to_storage` and `storage_to_python` on all three, for protocol conformance. + +### Test files + +| File | Change | +|---|---| +| `tests/test_extension_types/test_protocols.py` | Add `TypeConverterProtocol` conformance; update factory/logical-type stubs for new signatures | +| `tests/test_extension_types/test_registry.py` | Remove `ensure_*` tests; add converter pass-through tests | +| `tests/test_extension_types/test_builtin_logical_types.py` | Update `python_to_storage` / `storage_to_python` call sites to pass a converter stub | +| `tests/test_extension_types/test_dataclass_handler.py` | **New**: `DataclassLogicalType` unit tests; factory write path (flat, list, dict, nested); read path; local-class rejection; cycle detection; `supports_class`; Arrow round-trips | +| `tests/test_semantic_types/test_universal_converter.py` | Add `register_python_class` tests (primitives, generics, factory dispatch, cycle detection); `register_storage_type` tests (primitives, extension types, struct/list recursion); `python_to_storage` / `storage_to_python` for logical type dispatch | + +--- + +## File-by-file change summary + +| File | Change | +|---|---| +| `extension_types/protocols.py` | Add `TypeConverterProtocol`; update `LogicalTypeFactoryProtocol` (add `supports_class`, `converter` param); update `LogicalTypeProtocol` (`converter` param on conversion methods) | +| `extension_types/registry.py` | Remove `ensure_logical_type_for_python_class`, `ensure_extension_type` | +| `extension_types/builtin_logical_types.py` | Add `converter` param (ignored) to `python_to_storage` / `storage_to_python` | +| `extension_types/type_utils.py` | `extract_leaf_classes` made private or removed | +| `extension_types/dataclass_handler.py` | **New**: `DataclassLogicalType` + `DataclassHandlerFactory` | +| `semantic_types/universal_converter.py` | Add `register_python_class`, `register_storage_type`, `python_to_storage`, `storage_to_python`, `register_logical_type`, `register_logical_type_factory`; remove `semantic_registry` usage; remove `dataclass_encoding` usage; simplify `ensure_types_registered_for_schemas` | +| `semantic_types/dataclass_encoding.py` | **Deleted** | +| `extension_types/database_hooks.py` | `register_discovered_extensions` takes converter, calls `register_storage_type` per field | +| `databases/extension_aware_database.py` | Takes `converter` instead of `registry` | +| `contexts/core.py` | Remove `logical_type_registry` field | +| `contexts/__init__.py` | Remove `get_default_logical_type_registry` | +| `contexts/registry.py` | Stop passing `logical_type_registry` to `DataContext` | +| `contexts/data/v0.1.json` | Move registry construction inside `type_converter` config; remove `semantic_registry` from `type_converter` config | + +--- + +## Out of scope + +- Registered logical types (e.g. `pathlib.Path`) as dataclass field types — follow-up issue +- Wiring `DataclassHandlerFactory` into the default context — PLT-1701 +- Nested extension types inside struct sub-fields (self-describing nesting) — PLT-1700 (v0.2) +- `dict[K, V]` as `list[struct{key, value}]` — **in scope** (owned by converter, zero factory logic) From 035a0e604a4e7e72d7a6a85a4ff7e9c4108348f0 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 07:59:16 +0000 Subject: [PATCH 106/206] docs(specs): note that registered logical types as dataclass fields work naturally --- ...06-16-plt-1705-type-registration-spine-refactor.md | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/superpowers/specs/2026-06-16-plt-1705-type-registration-spine-refactor.md b/superpowers/specs/2026-06-16-plt-1705-type-registration-spine-refactor.md index 7384b421..38d07231 100644 --- a/superpowers/specs/2026-06-16-plt-1705-type-registration-spine-refactor.md +++ b/superpowers/specs/2026-06-16-plt-1705-type-registration-spine-refactor.md @@ -347,7 +347,16 @@ callers may use it). ## Out of scope -- Registered logical types (e.g. `pathlib.Path`) as dataclass field types — follow-up issue - Wiring `DataclassHandlerFactory` into the default context — PLT-1701 - Nested extension types inside struct sub-fields (self-describing nesting) — PLT-1700 (v0.2) - `dict[K, V]` as `list[struct{key, value}]` — **in scope** (owned by converter, zero factory logic) + +## Note: registered logical types as dataclass field types work naturally + +Because `DataclassHandlerFactory` delegates all per-field type resolution to +`converter.register_python_class`, dataclass fields typed as registered logical types +(e.g. `pathlib.Path`, `uuid.UUID`, `upath.UPath`) work without any special handling. +`register_python_class` hits the registry immediately for pre-registered types and returns +their Arrow extension type. Value conversion dispatches through the logical type's +`python_to_storage` / `storage_to_python` methods. This was listed as a follow-up gap in +PLT-1657, but is resolved by the new architecture at no extra cost. From acd71c3c142c9599465209ac36cfee4d1537870f Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 09:01:06 +0000 Subject: [PATCH 107/206] feat(extension_types): add TypeConverterProtocol; update factory/logical-type protocols with converter param and supports_class --- src/orcapod/extension_types/protocols.py | 150 +++++++++---------- tests/test_extension_types/test_protocols.py | 71 +++++++-- 2 files changed, 135 insertions(+), 86 deletions(-) diff --git a/src/orcapod/extension_types/protocols.py b/src/orcapod/extension_types/protocols.py index 4e90bda5..15dbabed 100644 --- a/src/orcapod/extension_types/protocols.py +++ b/src/orcapod/extension_types/protocols.py @@ -1,14 +1,10 @@ """Protocol definitions for the Arrow/Polars extension type system. -This module defines ``LogicalTypeProtocol`` and ``LogicalTypeFactoryProtocol`` — -the contracts for implementations that bind a Python class to its Arrow and Polars -extension type representation, and for factories that auto-construct such -implementations from Arrow schema metadata. - -Note: - This module is part of the parallel-build phase. The old - ``SemanticStructConverterProtocol`` in ``protocols/semantic_types_protocols.py`` - is untouched; it is removed in PLT-1660. +This module defines ``TypeConverterProtocol``, ``LogicalTypeProtocol``, and +``LogicalTypeFactoryProtocol`` — the contracts for the converter, for logical +type implementations that bind a Python class to its Arrow and Polars extension +type representation, and for factories that auto-construct such implementations +from Arrow schema metadata. """ from __future__ import annotations @@ -20,6 +16,31 @@ import pyarrow as pa +@runtime_checkable +class TypeConverterProtocol(Protocol): + """Minimal protocol exposing what factories and logical types need from the converter. + + Placed in ``extension_types/protocols.py`` to avoid circular imports. + ``UniversalTypeConverter`` is the canonical implementation. + """ + + def register_python_class(self, annotation: Any) -> "pa.DataType": + """Traverse a Python annotation and return its Arrow type, registering as needed.""" + ... + + def register_storage_type(self, arrow_type: "pa.DataType") -> "pa.DataType": + """Traverse an Arrow type bottom-up, registering extension types, and return resolved type.""" + ... + + def python_to_storage(self, value: Any, annotation: Any) -> Any: + """Convert a Python value to its Arrow storage representation.""" + ... + + def storage_to_python(self, storage_value: Any, annotation: Any) -> Any: + """Convert an Arrow storage value back to a Python object.""" + ... + + @runtime_checkable class LogicalTypeProtocol(Protocol): """Protocol for Arrow/Polars extension-type-backed logical types. @@ -34,11 +55,7 @@ class LogicalTypeProtocol(Protocol): @property def logical_type_name(self) -> str: - """Unique orcapod identifier for this logical type. - - For built-in types, use an ``orcapod.*`` prefix (e.g. ``"orcapod.uuid"``). Any unique - string is valid. Does NOT need to match the Arrow extension type name. - """ + """Unique orcapod identifier for this logical type (e.g. ``"orcapod.uuid"``).""" ... @property @@ -46,45 +63,32 @@ def python_type(self) -> type: """The Python class this logical type represents.""" ... - def get_arrow_extension_type(self) -> pa.ExtensionType: - """Return the Arrow extension type for this logical type. - - ``storage_type``, ``extension_name``, and serialised metadata are - encapsulated inside the returned type; they are no longer top-level - properties on ``LogicalType``. - - For custom types: create and return an instance of a new - ``pa.ExtensionType`` subclass (e.g. via ``make_arrow_extension_type``). - For pre-existing types: return the existing instance directly - (e.g. ``pa.uuid()``). - """ + def get_arrow_extension_type(self) -> "pa.ExtensionType": + """Return the Arrow extension type for this logical type.""" ... - def get_polars_extension_type(self) -> pl.BaseExtension: - """Return an instance of the Polars extension type for this logical type. - - The registry calls ``type(instance)`` to obtain the class passed to - ``pl.register_extension_type``. - """ + def get_polars_extension_type(self) -> "pl.BaseExtension": + """Return an instance of the Polars extension type for this logical type.""" ... - def python_to_storage(self, value: Any) -> Any: + def python_to_storage(self, value: Any, converter: "TypeConverterProtocol | None") -> Any: """Convert a Python value to its Arrow storage representation. Args: value: A Python object of type ``python_type``. + converter: The active ``TypeConverterProtocol`` for recursive delegation. Returns: - A value suitable for use as an Arrow scalar or array element - matching the storage type of ``get_arrow_extension_type()``. + A value suitable for Arrow storage. """ ... - def storage_to_python(self, storage_value: Any) -> Any: + def storage_to_python(self, storage_value: Any, converter: "TypeConverterProtocol | None") -> Any: """Convert an Arrow storage value back to a Python object. Args: storage_value: A scalar or array element from the Arrow storage array. + converter: The active ``TypeConverterProtocol`` for recursive delegation. Returns: A Python object of type ``python_type``. @@ -96,65 +100,34 @@ def storage_to_python(self, storage_value: Any) -> Any: class LogicalTypeFactoryProtocol(Protocol): """Protocol for factories that synthesize or reconstruct ``LogicalTypeProtocol`` instances. - Bridges two directions: the write path (``create_for_python_type`` — synthesizes a - ``LogicalTypeProtocol`` from a Python class) and the read path - (``reconstruct_from_arrow`` — reconstructs a ``LogicalTypeProtocol`` from Arrow schema - metadata). - - A ``LogicalTypeFactoryProtocol`` constructs a ``LogicalTypeProtocol`` from the - Arrow extension type name, its underlying storage type, and the full parsed JSON - metadata dict. The dispatch key (``"category"`` value from the metadata JSON) that - routes to this factory is declared at registration time via - ``LogicalTypeRegistry.register_logical_type_factory``; the factory itself has no - knowledge of its dispatch key but receives the full metadata dict so it can read - additional hints beyond ``"category"``. - - This protocol is ``@runtime_checkable``, consistent with ``LogicalTypeProtocol``. + Bridges two directions: the write path (``create_for_python_type``) and the read + path (``reconstruct_from_arrow``). Both methods receive ``converter`` instead of + ``registry`` so all traversal flows through the converter. """ - def reconstruct_from_arrow( - self, - arrow_extension_name: str, - storage_type: pa.DataType, - metadata: dict[str, Any], - ) -> LogicalTypeProtocol: - """Reconstruct a LogicalType from Arrow schema metadata (read path). + def supports_class(self, python_type: type) -> bool: + """Return True if this factory can synthesize a LogicalType for ``python_type``. - Called by the registry when a schema walk encounters an extension type - whose metadata ``"category"`` value matches this factory's registered - category. All Arrow schema information is already known. + Used as a probe during write-side MRO dispatch in ``register_python_class``. Args: - arrow_extension_name: The Arrow extension type name from the schema. - storage_type: The underlying Arrow storage type. - metadata: Full parsed metadata JSON dict. Always contains ``"category"``. + python_type: The Python class to probe. Returns: - A fully constructed ``LogicalTypeProtocol`` ready for registration. - - Raises: - ValueError: If this factory cannot reconstruct a type for the given name. + True if this factory handles ``python_type``. """ ... def create_for_python_type( self, python_type: type, + converter: "TypeConverterProtocol", ) -> LogicalTypeProtocol: """Synthesize a LogicalType for the given Python class (write path). - Called by the registry when pod declaration encounters an unregistered - class whose MRO intersects a base registered for this factory - (via ``LogicalTypeRegistry.register_logical_type_factory``). - The factory derives all Arrow metadata (extension name, storage type, - metadata dict) from the Python class itself. - - The returned LogicalType must round-trip: the Arrow metadata it embeds - must include the ``"category"`` key used to register this factory so - that ``reconstruct_from_arrow`` is correctly selected on a subsequent read. - Args: python_type: The concrete Python class to synthesize a LogicalType for. + converter: The active converter for recursive field-type resolution. Returns: A fully constructed ``LogicalTypeProtocol`` ready for registration. @@ -163,3 +136,26 @@ class whose MRO intersects a base registered for this factory ValueError: If this factory cannot construct a type for the given class. """ ... + + def reconstruct_from_arrow( + self, + arrow_extension_name: str, + storage_type: "pa.DataType", + metadata: dict[str, Any], + converter: "TypeConverterProtocol", + ) -> LogicalTypeProtocol: + """Reconstruct a LogicalType from Arrow schema metadata (read path). + + Args: + arrow_extension_name: The Arrow extension type name from the schema. + storage_type: The underlying Arrow storage type (already resolved bottom-up). + metadata: Full parsed metadata JSON dict. Always contains ``"category"``. + converter: The active converter for recursive field-type resolution. + + Returns: + A fully constructed ``LogicalTypeProtocol`` ready for registration. + + Raises: + ValueError: If this factory cannot reconstruct a type for the given name. + """ + ... diff --git a/tests/test_extension_types/test_protocols.py b/tests/test_extension_types/test_protocols.py index 5bf56b7b..dee88998 100644 --- a/tests/test_extension_types/test_protocols.py +++ b/tests/test_extension_types/test_protocols.py @@ -1,4 +1,4 @@ -"""Tests for LogicalTypeProtocol and LogicalTypeFactoryProtocol.""" +"""Tests for LogicalTypeProtocol, LogicalTypeFactoryProtocol, and TypeConverterProtocol.""" from __future__ import annotations @@ -34,23 +34,76 @@ def ext_from_params(cls, ext_name, storage_dtype, metadata_str): return cls() return _PolarsExt() - def python_to_storage(self, value): + def python_to_storage(self, value, converter): # converter param added return str(value) - def storage_to_python(self, storage_value): + def storage_to_python(self, storage_value, converter): # converter param added return storage_value class _StubFactory: """Minimal conforming implementation of LogicalTypeFactoryProtocol for use in tests.""" - def reconstruct_from_arrow(self, arrow_extension_name, storage_type, metadata): + def supports_class(self, python_type): # new method + return True + + def reconstruct_from_arrow(self, arrow_extension_name, storage_type, metadata, converter): return _StubLogicalType() - def create_for_python_type(self, python_type): + def create_for_python_type(self, python_type, converter): return _StubLogicalType() +def test_type_converter_protocol_is_importable(): + from orcapod.extension_types.protocols import TypeConverterProtocol + assert TypeConverterProtocol is not None + + +def test_factory_supports_class_method_required(): + """LogicalTypeFactoryProtocol requires supports_class.""" + from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol + + class _BadFactory: + def reconstruct_from_arrow(self, name, storage_type, metadata, converter): + pass + def create_for_python_type(self, python_type, converter): + pass + # Missing supports_class + + assert not isinstance(_BadFactory(), LogicalTypeFactoryProtocol) + + +def test_factory_with_supports_class_satisfies_protocol(): + from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol + + class _GoodFactory: + def supports_class(self, python_type): + return True + def reconstruct_from_arrow(self, name, storage_type, metadata, converter): + pass + def create_for_python_type(self, python_type, converter): + pass + + assert isinstance(_GoodFactory(), LogicalTypeFactoryProtocol) + + +def test_logical_type_python_to_storage_accepts_converter(): + """LogicalTypeProtocol.python_to_storage now requires converter param.""" + from orcapod.extension_types.protocols import LogicalTypeProtocol + + class _GoodLT: + @property + def logical_type_name(self): return "test.lt" + @property + def python_type(self): return str + def get_arrow_extension_type(self): pass + def get_polars_extension_type(self): pass + def python_to_storage(self, value, converter): return value + def storage_to_python(self, storage_value, converter): return storage_value + + assert isinstance(_GoodLT(), LogicalTypeProtocol) + + def test_logical_type_factory_protocol_is_importable(): """LogicalTypeFactoryProtocol can be imported from extension_types.protocols.""" from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol @@ -68,7 +121,7 @@ def test_logical_type_factory_create_returns_logical_type(): from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol, LogicalTypeProtocol factory: LogicalTypeFactoryProtocol = _StubFactory() result = factory.reconstruct_from_arrow( - "test.ext", pa.large_utf8(), {"category": "Test"} + "test.ext", pa.large_utf8(), {"category": "Test"}, converter=None ) assert isinstance(result, LogicalTypeProtocol) @@ -90,8 +143,8 @@ def test_conforming_class_satisfies_protocol(): assert lt.python_type is str assert lt.get_arrow_extension_type().extension_name == "test.module.MyType" assert isinstance(lt.get_polars_extension_type(), pl.BaseExtension) - assert lt.python_to_storage(42) == "42" - assert lt.storage_to_python("hello") == "hello" + assert lt.python_to_storage(42, None) == "42" # pass converter=None + assert lt.storage_to_python("hello", None) == "hello" # pass converter=None def test_factory_create_for_python_type_conformance(): @@ -99,5 +152,5 @@ def test_factory_create_for_python_type_conformance(): from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol, LogicalTypeProtocol factory: LogicalTypeFactoryProtocol = _StubFactory() assert isinstance(factory, LogicalTypeFactoryProtocol) - result = factory.create_for_python_type(str) + result = factory.create_for_python_type(str, converter=None) assert isinstance(result, LogicalTypeProtocol) From 2c933395c7b48fa0474ff8e5ccf6ddcc6d36ec32 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 09:34:22 +0000 Subject: [PATCH 108/206] feat(extension_types): add converter param to built-in logical type python_to_storage/storage_to_python --- .../extension_types/builtin_logical_types.py | 23 ++++++--- .../test_builtin_logical_types.py | 51 +++++++++++++++++++ 2 files changed, 67 insertions(+), 7 deletions(-) diff --git a/src/orcapod/extension_types/builtin_logical_types.py b/src/orcapod/extension_types/builtin_logical_types.py index f5b661c9..a3b99a0b 100644 --- a/src/orcapod/extension_types/builtin_logical_types.py +++ b/src/orcapod/extension_types/builtin_logical_types.py @@ -23,7 +23,7 @@ import pathlib import uuid as _uuid_module -from typing import Any +from typing import TYPE_CHECKING, Any import polars as pl import pyarrow as pa @@ -31,6 +31,9 @@ from orcapod.extension_types.registry import make_arrow_extension_type, make_polars_extension_type +if TYPE_CHECKING: + from orcapod.extension_types.protocols import TypeConverterProtocol + class LogicalPath: """Logical type for ``pathlib.Path``. @@ -80,22 +83,24 @@ def get_polars_extension_type(self) -> pl.BaseExtension: LogicalPath._polars_ext = LogicalPath._polars_ext_class() return LogicalPath._polars_ext - def python_to_storage(self, value: Any) -> str: + def python_to_storage(self, value: Any, converter: "TypeConverterProtocol | None" = None) -> str: """Convert a ``pathlib.Path`` to its string representation. Args: value: A ``pathlib.Path`` instance. + converter: Ignored. Present for protocol conformance. Returns: The string form of the path (e.g. ``"/tmp/foo"``). """ return str(value) - def storage_to_python(self, storage_value: Any) -> pathlib.Path: + def storage_to_python(self, storage_value: Any, converter: "TypeConverterProtocol | None" = None) -> pathlib.Path: """Reconstruct a ``pathlib.Path`` from its string representation. Args: storage_value: A string path as stored in Arrow. + converter: Ignored. Present for protocol conformance. Returns: A ``pathlib.Path`` instance. @@ -151,22 +156,24 @@ def get_polars_extension_type(self) -> pl.BaseExtension: LogicalUPath._polars_ext = LogicalUPath._polars_ext_class() return LogicalUPath._polars_ext - def python_to_storage(self, value: Any) -> str: + def python_to_storage(self, value: Any, converter: "TypeConverterProtocol | None" = None) -> str: """Convert a ``upath.UPath`` to its string representation. Args: value: A ``upath.UPath`` instance. + converter: Ignored. Present for protocol conformance. Returns: The string form of the path (e.g. ``"s3://bucket/key"``). """ return str(value) - def storage_to_python(self, storage_value: Any) -> UPath: + def storage_to_python(self, storage_value: Any, converter: "TypeConverterProtocol | None" = None) -> UPath: """Reconstruct a ``upath.UPath`` from its string representation. Args: storage_value: A string path as stored in Arrow. + converter: Ignored. Present for protocol conformance. Returns: A ``upath.UPath`` instance. @@ -230,11 +237,12 @@ def get_polars_extension_type(self) -> pl.BaseExtension: LogicalUUID._polars_ext = LogicalUUID._polars_ext_class() return LogicalUUID._polars_ext - def python_to_storage(self, value: Any) -> bytes: + def python_to_storage(self, value: Any, converter: "TypeConverterProtocol | None" = None) -> bytes: """Convert a ``uuid.UUID`` to its 16-byte binary representation. Args: value: A ``uuid.UUID`` instance. + converter: Ignored. Present for protocol conformance. Returns: A 16-byte ``bytes`` object (big-endian byte order, as per @@ -242,11 +250,12 @@ def python_to_storage(self, value: Any) -> bytes: """ return value.bytes - def storage_to_python(self, storage_value: Any) -> _uuid_module.UUID: + def storage_to_python(self, storage_value: Any, converter: "TypeConverterProtocol | None" = None) -> _uuid_module.UUID: """Reconstruct a ``uuid.UUID`` from its 16-byte binary representation. Args: storage_value: A bytes-like object of length 16. + converter: Ignored. Present for protocol conformance. Returns: A ``uuid.UUID`` instance. diff --git a/tests/test_extension_types/test_builtin_logical_types.py b/tests/test_extension_types/test_builtin_logical_types.py index 48b54313..d29a37b8 100644 --- a/tests/test_extension_types/test_builtin_logical_types.py +++ b/tests/test_extension_types/test_builtin_logical_types.py @@ -630,3 +630,54 @@ def test_uuid_uuid_works_via_orcapod_uuid_alias_arrow_round_trip(): assert recovered == u assert isinstance(recovered, orcapod.UUID) # valid because orcapod.UUID is uuid.UUID assert isinstance(recovered, uuid_module.UUID) + + +# --------------------------------------------------------------------------- +# Converter param acceptance tests (Task 2 — PLT-1705) +# --------------------------------------------------------------------------- + + +def test_logical_path_python_to_storage_accepts_converter(): + """python_to_storage now accepts a converter param (ignored).""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + lt = LogicalPath() + result = lt.python_to_storage(pathlib.Path("/tmp/foo"), converter=None) + assert result == "/tmp/foo" + + +def test_logical_path_storage_to_python_accepts_converter(): + """storage_to_python now accepts a converter param (ignored).""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + lt = LogicalPath() + result = lt.storage_to_python("/tmp/foo", converter=None) + assert result == pathlib.Path("/tmp/foo") + + +def test_logical_uuid_python_to_storage_accepts_converter(): + from orcapod.extension_types.builtin_logical_types import LogicalUUID + lt = LogicalUUID() + u = uuid_module.UUID("12345678-1234-5678-1234-567812345678") + result = lt.python_to_storage(u, converter=None) + assert result == u.bytes + + +def test_logical_uuid_storage_to_python_accepts_converter(): + from orcapod.extension_types.builtin_logical_types import LogicalUUID + lt = LogicalUUID() + u = uuid_module.UUID("12345678-1234-5678-1234-567812345678") + result = lt.storage_to_python(u.bytes, converter=None) + assert result == u + + +def test_logical_upath_python_to_storage_accepts_converter(): + from orcapod.extension_types.builtin_logical_types import LogicalUPath + lt = LogicalUPath() + result = lt.python_to_storage(UPath("s3://bucket/key"), converter=None) + assert result == "s3://bucket/key" + + +def test_logical_upath_storage_to_python_accepts_converter(): + from orcapod.extension_types.builtin_logical_types import LogicalUPath + lt = LogicalUPath() + result = lt.storage_to_python("s3://bucket/key", converter=None) + assert isinstance(result, UPath) From d78407b325c4552b7ca25b489c6d1e711c0d23fa Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 09:57:58 +0000 Subject: [PATCH 109/206] feat(universal_converter): add register_python_class, register_storage_type, python_to_storage, storage_to_python, and registration pass-throughs; wire converter=self into logical type dispatch --- .../semantic_types/universal_converter.py | 389 ++++++++++++++++-- .../test_universal_converter.py | 302 ++++++++++++++ 2 files changed, 667 insertions(+), 24 deletions(-) diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index 79a2aad1..1c8d1344 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -15,7 +15,7 @@ import logging import types import typing -from collections.abc import Callable, Mapping +from collections.abc import Callable, Iterable, Mapping from datetime import datetime, timezone # Handle generic types @@ -31,6 +31,7 @@ if TYPE_CHECKING: import pyarrow as pa from orcapod.extension_types.registry import LogicalTypeRegistry + from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol, LogicalTypeProtocol else: pa = LazyModule("pyarrow") @@ -194,6 +195,9 @@ def __init__( self._arrow_to_python_types: dict[pa.DataType, DataType] = {} self._dataclass_lookup_cache: dict[str, type] = {} + # Cycle detection for register_python_class + self._in_progress: set[type] = set() + @classmethod def get_native_python_types(cls) -> frozenset[type]: """Return the set of Python types that this converter handles natively. @@ -215,24 +219,14 @@ def get_native_python_types(cls) -> frozenset[type]: return _ARROW_NATIVE_TYPE_KEYS def ensure_types_registered_for_schemas(self, *schemas: Schema) -> None: - """Ensure a LogicalType is registered for every non-native leaf class in schemas. - - Recursively unwraps generic annotations (``list[T]``, ``dict[K, V]``, - ``T | None``, etc.) to find leaf Python classes. Skips Arrow-native - types (``int``, ``str``, ``datetime``, …) and types that are already - registered. Calls ``ensure_logical_type_for_python_class`` for any - remaining leaf class, which synthesizes via factory or raises - ``TypeError`` if no factory is registered. + """Ensure a LogicalType is registered for every annotation in schemas. - This is the canonical write-side registration trigger, called at - ``FunctionPod`` declaration time so that any missing ``LogicalType`` - is detected and synthesized eagerly rather than at data-processing time. - When no ``LogicalTypeRegistry`` is configured on this converter, the - method is a no-op. + Calls ``register_python_class`` for each annotation, which recursively + resolves nested types and synthesises via factory if needed. + When no ``LogicalTypeRegistry`` is configured, this is a no-op. Args: - *schemas: One or more ``Schema`` mappings (column name → Python type - annotation) to inspect. + *schemas: One or more ``Schema`` mappings (column name → Python type). Raises: TypeError: If a leaf class has no registered ``LogicalType`` and @@ -240,14 +234,357 @@ def ensure_types_registered_for_schemas(self, *schemas: Schema) -> None: """ if self._logical_type_registry is None: return - native_keys = self.get_native_python_types() for schema in schemas: for annotation in schema.values(): - for leaf_class in extract_leaf_classes(annotation): - if leaf_class in native_keys or self._logical_type_registry.get_by_python_type(leaf_class) is not None: - continue - self._logical_type_registry.ensure_logical_type_for_python_class(leaf_class) - # TypeError propagates if no factory matches — intentional hard error + self.register_python_class(annotation) + + def register_python_class(self, annotation: Any) -> "pa.DataType": + """Register a Python type annotation and return its Arrow type. + + Traverses generic annotations recursively. For each concrete class found, + either returns from the primitive map or registry (cache hit), or + synthesises via factory and registers the result. + + Args: + annotation: A Python type or generic alias (e.g. ``list[str]``, + ``Optional[uuid.UUID]``, a dataclass type). + + Returns: + The Arrow ``pa.DataType`` corresponding to ``annotation``. + + Raises: + TypeError: If a concrete class has no registered ``LogicalType`` and + no factory covers it, or if a circular dependency is detected. + ValueError: If a complex (non-Optional) union is encountered. + """ + import types as _types_mod + + type_map = _get_python_to_arrow_map() + + # Primitive map hit + if annotation in type_map: + return type_map[annotation] + + origin = get_origin(annotation) + args = get_args(annotation) + + # Optional[T] / T | None → strip None arm + if origin is typing.Union or origin is _types_mod.UnionType: + non_none = [a for a in args if a is not type(None)] + if len(non_none) == 1: + return self.register_python_class(non_none[0]) + raise ValueError( + f"Complex unions with multiple non-None types are not supported: " + f"{annotation!r}. Only Optional[T] (T | None) is allowed." + ) + + # list[T] → pa.large_list(T) + if origin is list: + return pa.large_list(self.register_python_class(args[0])) + + # set[T] → pa.large_list(T) + if origin is set: + return pa.large_list(self.register_python_class(args[0])) + + # dict[K, V] → pa.large_list(struct{key: K, value: V}) + if origin is dict: + key_arrow = self.register_python_class(args[0]) + val_arrow = self.register_python_class(args[1]) + return pa.large_list( + pa.struct([pa.field("key", key_arrow), pa.field("value", val_arrow)]) + ) + + # Concrete class — registry or factory dispatch + if isinstance(annotation, type): + if self._logical_type_registry is None: + # No registry — return primitive Arrow type if available, else raise + raise TypeError( + f"No LogicalTypeRegistry configured — cannot register {annotation!r}. " + f"Provide logical_type_registry at converter construction time." + ) + + # Registry hit (already synthesised) + lt = self._logical_type_registry.get_by_python_type(annotation) + if lt is not None: + return lt.get_arrow_extension_type() + + # Cycle detection + if annotation in self._in_progress: + raise TypeError( + f"Circular type dependency detected while synthesising " + f"LogicalType for {annotation!r}." + ) + + # Factory dispatch via MRO walk + factory = self._find_factory_for_class(annotation) + if factory is None: + raise TypeError( + f"No LogicalType or LogicalTypeFactory registered for {annotation!r}. " + f"Register a factory: converter.register_logical_type_factory(factory, " + f"python_bases=[])" + ) + + self._in_progress.add(annotation) + try: + lt = factory.create_for_python_type(annotation, converter=self) + self._logical_type_registry.register_logical_type(lt) + finally: + self._in_progress.discard(annotation) + + return lt.get_arrow_extension_type() + + raise ValueError(f"Unsupported annotation: {annotation!r}") + + def _find_factory_for_class( + self, + python_type: type, + ) -> "LogicalTypeFactoryProtocol | None": + """Find the most-specific registered factory for ``python_type``. + + Walks ``python_type.__mro__`` and returns the first factory in + ``_python_class_factories`` whose ``supports_class(python_type)`` returns True. + Falls back to an ``issubclass`` scan for ABC-registered factories. + + Args: + python_type: Concrete Python class to find a factory for. + + Returns: + The matching ``LogicalTypeFactoryProtocol``, or ``None`` if none found. + """ + factories = self._logical_type_registry._python_class_factories + + # MRO walk — most-specific base first + for base in python_type.__mro__: + factory = factories.get(base) + if factory is not None: + if hasattr(factory, "supports_class") and factory.supports_class(python_type): + return factory + elif not hasattr(factory, "supports_class"): + # Factories without supports_class are treated as unconditional matches + return factory + + # issubclass fallback for ABC-registered factories + for base, factory in factories.items(): + try: + if issubclass(python_type, base): + if hasattr(factory, "supports_class"): + if factory.supports_class(python_type): + return factory + else: + return factory + except TypeError: + continue + + return None + + def register_storage_type(self, arrow_type: "pa.DataType") -> "pa.DataType": + """Register extension types found in ``arrow_type`` and return the resolved type. + + Traverses Arrow types recursively in a bottom-up manner: + + - Primitives are returned unchanged. + - ``pa.ExtensionType`` instances that are already registered are returned as-is. + - Unregistered extension types: the storage type is resolved first (bottom-up), + then the factory dispatches on the ``"category"`` metadata key. + - Structs: each field's type is resolved; a new struct with resolved fields is returned. + - Lists: the value type is resolved; a new list type with the resolved value is returned. + + Args: + arrow_type: An Arrow type to traverse and register. + + Returns: + The resolved Arrow type with extension types embedded. + """ + # Extension type + if isinstance(arrow_type, pa.ExtensionType): + ext_name = arrow_type.extension_name + if self._logical_type_registry is not None: + lt = self._logical_type_registry.get_by_arrow_extension_name(ext_name) + if lt is not None: + return lt.get_arrow_extension_type() + # Registry miss — extract info and register + raw_meta = arrow_type.__arrow_ext_serialize__() + ext_meta = raw_meta if raw_meta else None + resolved_storage = self.register_storage_type(arrow_type.storage_type) + return self._ensure_extension_type_info(ext_name, ext_meta, resolved_storage) + + # Struct type — recurse into each field + if pa.types.is_struct(arrow_type): + resolved_fields = [] + for i in range(arrow_type.num_fields): + field = arrow_type.field(i) + resolved_type = self.register_storage_type(field.type) + resolved_fields.append(pa.field(field.name, resolved_type, nullable=field.nullable)) + return pa.struct(resolved_fields) + + # Large list type + if pa.types.is_large_list(arrow_type): + resolved_value = self.register_storage_type(arrow_type.value_type) + return pa.large_list(resolved_value) + + # List type + if pa.types.is_list(arrow_type): + resolved_value = self.register_storage_type(arrow_type.value_type) + return pa.list_(resolved_value) + + # All other types (primitives, timestamps, binary, etc.) — return as-is + return arrow_type + + def _ensure_extension_type_info( + self, + arrow_extension_name: str, + extension_metadata: bytes | None, + storage_type: "pa.DataType", + ) -> "pa.DataType": + """Register an extension type from (name, metadata, storage_type) info. + + Called by ``register_storage_type`` for in-memory ``pa.ExtensionType`` objects, + and by ``register_discovered_extensions`` for the field-metadata (Parquet) channel. + The ``storage_type`` must already be resolved (nested extension types registered). + + Args: + arrow_extension_name: Arrow extension name (``ARROW:extension:name``). + extension_metadata: Raw metadata bytes, expected to be UTF-8 JSON with + at least a ``"category"`` key. ``None`` or empty bytes if absent. + storage_type: Underlying Arrow storage type (already bottom-up resolved). + + Returns: + The Arrow extension type after registration. + + Raises: + ValueError: If metadata is missing, malformed, lacks ``"category"``, or + no factory is registered for the category. + """ + import json as _json + + if self._logical_type_registry is None: + raise ValueError( + f"No LogicalTypeRegistry configured — cannot register extension type " + f"{arrow_extension_name!r}." + ) + + # Registry hit — already registered + lt = self._logical_type_registry.get_by_arrow_extension_name(arrow_extension_name) + if lt is not None: + return lt.get_arrow_extension_type() + + # Missing metadata — cannot auto-register + if not extension_metadata: + raise ValueError( + f"Extension type {arrow_extension_name!r} has no extension metadata. " + f"Types without a metadata category tag cannot be auto-registered via a factory. " + f"Pre-register them explicitly via converter.register_logical_type(lt)." + ) + + # Parse JSON metadata + try: + metadata_dict = _json.loads(extension_metadata.decode("utf-8")) + except (UnicodeDecodeError, _json.JSONDecodeError) as exc: + raise ValueError( + f"Extension type {arrow_extension_name!r} has metadata that is not valid " + f"UTF-8 JSON: {extension_metadata!r}. Parse error: {exc}." + ) from exc + + if not isinstance(metadata_dict, dict): + raise ValueError( + f"Extension type {arrow_extension_name!r} metadata decoded to a non-object " + f"JSON value: {metadata_dict!r}." + ) + + if "category" not in metadata_dict: + raise ValueError( + f"Extension type {arrow_extension_name!r} metadata has no \"category\" key: " + f"{metadata_dict}." + ) + + category = metadata_dict["category"] + if not isinstance(category, str): + raise ValueError( + f"Extension type {arrow_extension_name!r} metadata \"category\" is not a " + f"string: {category!r}." + ) + + # Look up factory by category + factory = self._logical_type_registry._category_factories.get(category) + if factory is None: + raise ValueError( + f"No LogicalTypeFactory registered for category {category!r}. " + f"Cannot register extension type {arrow_extension_name!r}." + ) + + # Reconstruct and register + logical_type = factory.reconstruct_from_arrow( + arrow_extension_name, storage_type, metadata_dict, converter=self + ) + self._logical_type_registry.register_logical_type(logical_type) + return logical_type.get_arrow_extension_type() + + def python_to_storage(self, value: Any, annotation: Any) -> Any: + """Convert a Python value to its Arrow storage representation. + + Thin wrapper over ``get_python_to_arrow_converter`` for use by + ``DataclassLogicalType`` and other logical types that delegate per-field + conversion back to the converter. + + Args: + value: A Python object. + annotation: The Python type annotation for ``value``. + + Returns: + A value in Arrow storage format. + """ + converter_fn = self.get_python_to_arrow_converter(annotation) + return converter_fn(value) + + def storage_to_python(self, storage_value: Any, annotation: Any) -> Any: + """Convert an Arrow storage value back to a Python object. + + Args: + storage_value: A scalar or element from an Arrow storage array. + annotation: The Python type annotation to convert back to. + + Returns: + A Python object of the type described by ``annotation``. + """ + arrow_type = self.python_type_to_arrow_type(annotation) + converter_fn = self.get_arrow_to_python_converter(arrow_type) + return converter_fn(storage_value) + + def register_logical_type(self, lt: "LogicalTypeProtocol") -> None: + """Register a ``LogicalTypeProtocol`` instance. + + Pass-through to the internal ``LogicalTypeRegistry``. + + Args: + lt: The logical type to register. + """ + if self._logical_type_registry is None: + raise ValueError("No LogicalTypeRegistry configured on this converter.") + self._logical_type_registry.register_logical_type(lt) + + def register_logical_type_factory( + self, + factory: "LogicalTypeFactoryProtocol", + *, + category: str | None = None, + python_bases: Iterable[type] = (), + ) -> None: + """Register a ``LogicalTypeFactoryProtocol`` instance. + + Pass-through to the internal ``LogicalTypeRegistry``. + + Args: + factory: The factory to register. + category: If given, registers factory as the read-side handler for + Arrow extension types with this ``"category"`` metadata value. + python_bases: Zero or more Python base classes to register as write-side + dispatch keys for this factory. + """ + if self._logical_type_registry is None: + raise ValueError("No LogicalTypeRegistry configured on this converter.") + self._logical_type_registry.register_logical_type_factory( + factory, category=category, python_bases=python_bases + ) def python_type_to_arrow_type(self, python_type: DataType) -> pa.DataType: """ @@ -843,7 +1180,9 @@ def _create_python_to_arrow_converter( if self._logical_type_registry is not None and isinstance(python_type, type): lt = self._logical_type_registry.get_by_python_type(python_type) if lt is not None: - return lt.python_to_storage + _lt = lt + _self = self + return lambda value: _lt.python_to_storage(value, _self) # Get the Arrow type for this Python type # TODO: check if this step is necessary @@ -962,7 +1301,9 @@ def _create_arrow_to_python_converter( arrow_type.extension_name ) if lt is not None: - return lt.storage_to_python + _lt = lt + _self = self + return lambda storage_value: _lt.storage_to_python(storage_value, _self) # Get the Python type for this Arrow type python_type = self.arrow_type_to_python_type(arrow_type) diff --git a/tests/test_semantic_types/test_universal_converter.py b/tests/test_semantic_types/test_universal_converter.py index 15b93d11..acd90dc3 100644 --- a/tests/test_semantic_types/test_universal_converter.py +++ b/tests/test_semantic_types/test_universal_converter.py @@ -706,3 +706,305 @@ def test_data_context_type_converter_holds_logical_type_registry(): ctx = get_default_context() assert hasattr(ctx.type_converter, "_logical_type_registry") assert ctx.type_converter._logical_type_registry is ctx.logical_type_registry + + +# ── Helpers for new tests ──────────────────────────────────────────────────── + +import dataclasses +import pathlib +from typing import Optional + +from orcapod.extension_types.registry import make_polars_extension_type + + +def _make_registry_with_builtins() -> LogicalTypeRegistry: + """Registry with LogicalPath, LogicalUUID, LogicalUPath pre-registered.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath, LogicalUUID, LogicalUPath + return LogicalTypeRegistry(logical_types=[LogicalPath(), LogicalUUID(), LogicalUPath()]) + + +def _make_converter(registry: LogicalTypeRegistry | None = None) -> UniversalTypeConverter: + if registry is None: + registry = _make_registry_with_builtins() + return UniversalTypeConverter(logical_type_registry=registry) + + +# ── register_python_class tests ────────────────────────────────────────────── + +def test_register_python_class_primitive_int(): + converter = _make_converter() + assert converter.register_python_class(int) == pa.int64() + + +def test_register_python_class_primitive_str(): + converter = _make_converter() + assert converter.register_python_class(str) == pa.large_string() + + +def test_register_python_class_list_of_int(): + converter = _make_converter() + result = converter.register_python_class(list[int]) + assert result == pa.large_list(pa.int64()) + + +def test_register_python_class_optional_str(): + converter = _make_converter() + result = converter.register_python_class(Optional[str]) + assert result == pa.large_string() + + +def test_register_python_class_dict_str_int(): + converter = _make_converter() + result = converter.register_python_class(dict[str, int]) + expected = pa.large_list(pa.struct([pa.field("key", pa.large_string()), pa.field("value", pa.int64())])) + assert result == expected + + +def test_register_python_class_set_of_str(): + converter = _make_converter() + result = converter.register_python_class(set[str]) + assert result == pa.large_list(pa.large_string()) + + +def test_register_python_class_registry_hit_path(): + """pathlib.Path is pre-registered → returns the orcapod.path extension type.""" + converter = _make_converter() + result = converter.register_python_class(pathlib.Path) + assert isinstance(result, pa.ExtensionType) + assert result.extension_name == "orcapod.path" + + +def test_register_python_class_uuid_registry_hit(): + converter = _make_converter() + result = converter.register_python_class(_uuid_module.UUID) + assert isinstance(result, pa.ExtensionType) + assert result.extension_name == "orcapod.uuid" + + +def test_register_python_class_factory_dispatch(): + """A custom class triggers factory synthesis and caches the result.""" + import uuid as _u + + class _Base: + pass + + class _Child(_Base): + pass + + ext_name = f"test.custom.{_u.uuid4().hex[:8]}" + ArrowExt = make_arrow_extension_type(ext_name, pa.large_string()) + PolarsExt = make_polars_extension_type(ext_name, pa.large_string()) + synthesized_calls = [] + + class _Factory: + def supports_class(self, python_type): + return issubclass(python_type, _Base) + def create_for_python_type(self, python_type, converter): + synthesized_calls.append(python_type) + class _LT: + logical_type_name = ext_name + python_type_ = _Child + python_type = _Child + def get_arrow_extension_type(self): return ArrowExt() + def get_polars_extension_type(self): return PolarsExt() + def python_to_storage(self, v, c=None): return str(v) + def storage_to_python(self, v, c=None): return v + return _LT() + def reconstruct_from_arrow(self, name, storage, meta, converter): pass + + registry = _make_registry_with_builtins() + registry.register_logical_type_factory(_Factory(), python_bases=[_Base]) + converter = _make_converter(registry) + + result = converter.register_python_class(_Child) + assert isinstance(result, pa.ExtensionType) + assert result.extension_name == ext_name + assert _Child in synthesized_calls + + # Second call is a registry hit — factory NOT called again + result2 = converter.register_python_class(_Child) + assert result2 == result + assert len(synthesized_calls) == 1 + + +def test_register_python_class_cycle_detection(): + """Cyclic type synthesis raises TypeError.""" + + class _CycleClass: + pass + + class _CycleFactory: + def supports_class(self, python_type): + return python_type is _CycleClass + def create_for_python_type(self, python_type, converter): + # Intentionally trigger a cycle + converter.register_python_class(_CycleClass) + def reconstruct_from_arrow(self, name, storage, meta, converter): pass + + registry = _make_registry_with_builtins() + registry.register_logical_type_factory(_CycleFactory(), python_bases=[_CycleClass]) + converter = _make_converter(registry) + + with pytest.raises(TypeError, match="[Cc]ircular"): + converter.register_python_class(_CycleClass) + + +# ── register_storage_type tests ────────────────────────────────────────────── + +def test_register_storage_type_primitive_int(): + converter = _make_converter() + assert converter.register_storage_type(pa.int64()) == pa.int64() + + +def test_register_storage_type_primitive_large_string(): + converter = _make_converter() + assert converter.register_storage_type(pa.large_string()) == pa.large_string() + + +def test_register_storage_type_extension_type_registry_hit(): + """An already-registered extension type is returned unchanged (no-op).""" + converter = _make_converter() + from orcapod.extension_types.builtin_logical_types import LogicalUUID + uuid_ext = LogicalUUID().get_arrow_extension_type() + result = converter.register_storage_type(uuid_ext) + assert isinstance(result, pa.ExtensionType) + assert result.extension_name == "orcapod.uuid" + + +def test_register_storage_type_struct_recurses(): + """Structs are traversed field by field; resolved field types are returned.""" + converter = _make_converter() + struct_type = pa.struct([pa.field("name", pa.large_string()), pa.field("count", pa.int64())]) + result = converter.register_storage_type(struct_type) + assert pa.types.is_struct(result) + assert result.field("name").type == pa.large_string() + assert result.field("count").type == pa.int64() + + +def test_register_storage_type_large_list_recurses(): + converter = _make_converter() + list_type = pa.large_list(pa.int32()) + result = converter.register_storage_type(list_type) + assert pa.types.is_large_list(result) + assert result.value_type == pa.int32() + + +def test_register_storage_type_extension_miss_dispatches_to_factory(): + """An unregistered extension type triggers factory.reconstruct_from_arrow.""" + import json + import uuid as _u + + ext_name = f"test.reconstruct.{_u.uuid4().hex[:8]}" + category = "test.reconstruct" + metadata = json.dumps({"category": category}).encode() + ArrowExt = make_arrow_extension_type(ext_name, pa.large_string(), metadata=metadata) + PolarsExt = make_polars_extension_type(ext_name, pa.large_string()) + + class _LT: + logical_type_name = ext_name + python_type = str + def get_arrow_extension_type(self): return ArrowExt() + def get_polars_extension_type(self): return PolarsExt() + def python_to_storage(self, v, c=None): return str(v) + def storage_to_python(self, v, c=None): return v + + class _Factory: + def supports_class(self, t): return False + def create_for_python_type(self, t, converter): pass + def reconstruct_from_arrow(self, name, storage_type, meta, converter): + return _LT() + + registry = _make_registry_with_builtins() + registry.register_logical_type_factory(_Factory(), category=category) + converter = _make_converter(registry) + + ext_instance = ArrowExt() + result = converter.register_storage_type(ext_instance) + assert isinstance(result, pa.ExtensionType) + assert result.extension_name == ext_name + + # Second call: registry hit → same result, factory NOT called again + result2 = converter.register_storage_type(ext_instance) + assert result2.extension_name == ext_name + + +def test_register_storage_type_nested_struct_with_extension(): + """Extension type nested inside a struct field is resolved bottom-up.""" + import json + import uuid as _u + + ext_name = f"test.nested.{_u.uuid4().hex[:8]}" + category = "test.nested" + metadata = json.dumps({"category": category}).encode() + ArrowExt = make_arrow_extension_type(ext_name, pa.large_string(), metadata=metadata) + PolarsExt = make_polars_extension_type(ext_name, pa.large_string()) + + class _LT: + logical_type_name = ext_name + python_type = str + def get_arrow_extension_type(self): return ArrowExt() + def get_polars_extension_type(self): return PolarsExt() + def python_to_storage(self, v, c=None): return str(v) + def storage_to_python(self, v, c=None): return v + + class _Factory: + def supports_class(self, t): return False + def create_for_python_type(self, t, converter): pass + def reconstruct_from_arrow(self, name, storage_type, meta, converter): + return _LT() + + registry = _make_registry_with_builtins() + registry.register_logical_type_factory(_Factory(), category=category) + converter = _make_converter(registry) + + ext_instance = ArrowExt() + struct_with_ext = pa.struct([pa.field("id", pa.int64()), pa.field("tag", ext_instance)]) + result = converter.register_storage_type(struct_with_ext) + + assert pa.types.is_struct(result) + assert result.field("id").type == pa.int64() + assert isinstance(result.field("tag").type, pa.ExtensionType) + assert result.field("tag").type.extension_name == ext_name + + +# ── python_to_storage / storage_to_python / pass-through tests ─────────────── + +def test_python_to_storage_for_registered_type(): + """python_to_storage uses the logical type's converter for registered types.""" + converter = _make_converter() + result = converter.python_to_storage(pathlib.Path("/tmp/bar"), pathlib.Path) + assert result == "/tmp/bar" + + +def test_storage_to_python_for_registered_type(): + converter = _make_converter() + result = converter.storage_to_python("/tmp/bar", pathlib.Path) + assert isinstance(result, pathlib.Path) + assert result == pathlib.Path("/tmp/bar") + + +def test_python_to_storage_for_int(): + converter = _make_converter() + assert converter.python_to_storage(42, int) == 42 + + +def test_register_logical_type_passthrough(): + from orcapod.extension_types.builtin_logical_types import LogicalPath + registry = LogicalTypeRegistry() + converter = UniversalTypeConverter(logical_type_registry=registry) + lt = LogicalPath() + converter.register_logical_type(lt) + assert registry.get_by_python_type(pathlib.Path) is lt + + +def test_register_logical_type_factory_passthrough(): + class _Factory: + def supports_class(self, t): return False + def create_for_python_type(self, t, converter): pass + def reconstruct_from_arrow(self, name, storage, meta, converter): pass + + registry = LogicalTypeRegistry() + converter = UniversalTypeConverter(logical_type_registry=registry) + factory = _Factory() + converter.register_logical_type_factory(factory, category="test.cat") + assert registry._category_factories.get("test.cat") is factory From 85475d08f5157fe8af803163785207e243880571 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 10:18:37 +0000 Subject: [PATCH 110/206] refactor(registry,database_hooks): remove ensure_* from registry; update database_hooks and ExtensionAwareDatabase to use converter instead of registry --- .../databases/extension_aware_database.py | 44 ++-- src/orcapod/extension_types/database_hooks.py | 42 ++-- src/orcapod/extension_types/registry.py | 224 ------------------ .../test_write_side_registration.py | 17 +- .../test_extension_aware_database.py | 54 +++-- .../test_database_hooks.py | 94 +++++--- tests/test_extension_types/test_registry.py | 212 +---------------- 7 files changed, 147 insertions(+), 540 deletions(-) diff --git a/src/orcapod/databases/extension_aware_database.py b/src/orcapod/databases/extension_aware_database.py index a3c19ce0..c8321365 100644 --- a/src/orcapod/databases/extension_aware_database.py +++ b/src/orcapod/databases/extension_aware_database.py @@ -3,9 +3,9 @@ Wraps any ``ArrowDatabaseProtocol`` backend and transparently applies the register → cast pattern on every read result: -1. Call ``register_discovered_extensions(registry, table.schema)`` to ensure +1. Call ``register_discovered_extensions(converter, table.schema)`` to ensure all Arrow extension types found in the returned table's field metadata are - registered with *registry*. + registered with the converter. 2. Call ``apply_extension_types(table, registry)`` to re-wrap columns that were loaded as plain storage types into their correct extension types. This operation is zero-copy (``pa.ExtensionArray.from_storage`` per chunk). @@ -15,7 +15,7 @@ Example:: db = DeltaTableDatabase("/path/to/store") - ext_db = ExtensionAwareDatabase(db, registry=data_context.logical_type_registry) + ext_db = ExtensionAwareDatabase(db, converter=data_context.type_converter) table = ext_db.get_all_records(("results", "my_fn")) # table columns have proper extension types applied """ @@ -28,11 +28,11 @@ apply_extension_types, register_discovered_extensions, ) -from orcapod.extension_types.registry import LogicalTypeRegistry from orcapod.protocols.database_protocols import ArrowDatabaseProtocol if TYPE_CHECKING: import pyarrow as pa + from orcapod.semantic_types.universal_converter import UniversalTypeConverter class ExtensionAwareDatabase: @@ -42,7 +42,7 @@ class ExtensionAwareDatabase: 1. Walk the returned table's schema to find any extension types (from preserved ``ARROW:extension:*`` field metadata). - 2. Register any newly discovered types with *registry* via + 2. Register any newly discovered types with *converter* via ``register_discovered_extensions``. 3. Re-wrap columns that were loaded as plain storage types into their correct Arrow extension types via ``apply_extension_types`` (zero-copy). @@ -51,27 +51,29 @@ class ExtensionAwareDatabase: Args: db: Any ``ArrowDatabaseProtocol`` backend. - registry: The ``LogicalTypeRegistry`` to use for registration and lookup. - Callers are responsible for supplying the right registry (e.g. - ``data_context.logical_type_registry``). + converter: The ``UniversalTypeConverter`` to use for registration and + lookup. Callers typically supply ``data_context.type_converter``. """ def __init__( self, db: ArrowDatabaseProtocol, - registry: LogicalTypeRegistry, + converter: "UniversalTypeConverter", ) -> None: self._db = db - self._registry = registry + self._converter = converter # ── Internal helper ─────────────────────────────────────────────────────── - def _process(self, table: pa.Table | None) -> pa.Table | None: + def _process(self, table: "pa.Table | None") -> "pa.Table | None": """Register extension types and re-wrap columns, or return None unchanged.""" if table is None: return None - register_discovered_extensions(self._registry, table.schema) - return apply_extension_types(table, self._registry) + register_discovered_extensions(self._converter, table.schema) + registry = self._converter._logical_type_registry + if registry is not None: + return apply_extension_types(table, registry) + return table # ── Read methods ────────────────────────────────────────────────────────── @@ -81,7 +83,7 @@ def get_record_by_id( record_id: bytes, record_id_column: str | None = None, flush: bool = False, - ) -> pa.Table | None: + ) -> "pa.Table | None": return self._process( self._db.get_record_by_id( record_path, @@ -95,7 +97,7 @@ def get_all_records( self, record_path: tuple[str, ...], record_id_column: str | None = None, - ) -> pa.Table | None: + ) -> "pa.Table | None": return self._process( self._db.get_all_records(record_path, record_id_column=record_id_column) ) @@ -106,7 +108,7 @@ def get_records_by_ids( record_ids: Collection[bytes], record_id_column: str | None = None, flush: bool = False, - ) -> pa.Table | None: + ) -> "pa.Table | None": return self._process( self._db.get_records_by_ids( record_path, @@ -122,7 +124,7 @@ def get_records_with_column_value( column_values: Collection[tuple[str, Any]] | Mapping[str, Any], record_id_column: str | None = None, flush: bool = False, - ) -> pa.Table | None: + ) -> "pa.Table | None": return self._process( self._db.get_records_with_column_value( record_path, @@ -138,7 +140,7 @@ def add_record( self, record_path: tuple[str, ...], record_id: bytes, - record: pa.Table, + record: "pa.Table", skip_duplicates: bool = False, flush: bool = False, ) -> None: @@ -153,7 +155,7 @@ def add_record( def add_records( self, record_path: tuple[str, ...], - records: pa.Table, + records: "pa.Table", record_id_column: str | None = None, skip_duplicates: bool = False, flush: bool = False, @@ -175,11 +177,11 @@ def flush(self) -> None: def base_path(self) -> tuple[str, ...]: return self._db.base_path - def at(self, *path_components: str) -> ExtensionAwareDatabase: + def at(self, *path_components: str) -> "ExtensionAwareDatabase": """Return a scoped view, preserving the extension-aware wrapper.""" return ExtensionAwareDatabase( self._db.at(*path_components), - registry=self._registry, + converter=self._converter, ) def to_config(self) -> dict[str, Any]: diff --git a/src/orcapod/extension_types/database_hooks.py b/src/orcapod/extension_types/database_hooks.py index b18ff743..e6257c91 100644 --- a/src/orcapod/extension_types/database_hooks.py +++ b/src/orcapod/extension_types/database_hooks.py @@ -2,9 +2,9 @@ Two entry points: -``register_discovered_extensions(registry, schema)`` +``register_discovered_extensions(converter, schema)`` Walk an Arrow schema and register any extension types not yet known to - *registry*. No-op when *registry* is ``None`` or the schema has no + *converter*. No-op when *converter* is ``None`` or the schema has no extension types. ``apply_extension_types(table, registry)`` @@ -15,8 +15,8 @@ These two functions are typically called in sequence: - register_discovered_extensions(registry, table.schema) - table = apply_extension_types(table, registry) + register_discovered_extensions(converter, table.schema) + table = apply_extension_types(table, converter._logical_type_registry) """ from __future__ import annotations @@ -29,38 +29,36 @@ if TYPE_CHECKING: import pyarrow as pa + from orcapod.semantic_types.universal_converter import UniversalTypeConverter logger = logging.getLogger(__name__) def register_discovered_extensions( - registry: LogicalTypeRegistry | None, - schema: pa.Schema, + converter: "UniversalTypeConverter | None", + schema: "pa.Schema", ) -> None: """Register any extension types found in ``schema`` that are not yet known. - Walks ``schema`` recursively to discover all Arrow extension types at any - nesting depth. For each discovered type, delegates to - ``registry.ensure_extension_type``. + Walks ``schema`` recursively via ``walk_schema`` to discover all Arrow extension + types at any nesting depth (both in-memory and field-metadata channels). + For each discovered type, delegates to ``converter._ensure_extension_type_info``. - Already-registered types are detected and skipped inside the registry — - this function itself is stateless beyond the registry it operates on. + Already-registered types are detected and skipped inside the converter — + this function itself is stateless beyond the converter it operates on. Args: - registry: The ``LogicalTypeRegistry`` to use for lookup and registration. - If ``None``, this call is a no-op — no extension types will be - registered. Callers that want auto-registration must supply a registry - explicitly; the typical source is - ``data_context.logical_type_registry``. + converter: The ``UniversalTypeConverter`` to use for registration. + If ``None``, this call is a no-op. schema: The Arrow schema to inspect. May contain no extension types, in which case this call is a no-op. Raises: - ValueError: Propagated from the registry if an extension type's metadata + ValueError: Propagated from the converter if an extension type's metadata has no registered factory or is malformed. """ - if registry is None: - logger.debug("register_discovered_extensions: no registry provided, skipping") + if converter is None: + logger.debug("register_discovered_extensions: no converter provided, skipping") return found = walk_schema(schema) @@ -73,10 +71,12 @@ def register_discovered_extensions( [info.extension_name for info in found], ) for info in found: - registry.ensure_extension_type( + # Bottom-up resolve the storage type first, then register the extension + resolved_storage = converter.register_storage_type(info.storage_type) + converter._ensure_extension_type_info( info.extension_name, info.extension_metadata, - info.storage_type, + resolved_storage, ) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index b42e00d7..fc0db4d1 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -351,227 +351,3 @@ def register_logical_type_factory( logger.debug( "registered LogicalTypeFactory for python base %r: %r", base, factory ) - - def ensure_extension_type( - self, - arrow_extension_name: str, - extension_metadata: bytes | None, - storage_type: pa.DataType, - ) -> None: - """Ensure the Arrow extension type identified by ``arrow_extension_name`` - is registered as a ``LogicalTypeProtocol``. - - This is the single entry point called by ``register_discovered_extensions`` - in ``database_hooks``. The registry owns all dispatch logic. - - Args: - arrow_extension_name: Arrow extension type name (``ARROW:extension:name``). - extension_metadata: Raw metadata bytes (``ARROW:extension:metadata``), - expected to be UTF-8 JSON containing at least a ``"category"`` key. - ``None`` if absent. - storage_type: Underlying Arrow storage type for this extension field. - - Raises: - ValueError: If ``extension_metadata`` is ``None`` and the type is not - already registered. - ValueError: If ``extension_metadata`` is not valid UTF-8 JSON. - ValueError: If the parsed JSON has no ``"category"`` key. - ValueError: If no factory is registered for the ``"category"`` value. - ValueError: Propagated from the factory if it cannot construct a type. - """ - # Step 1: per-process cache hit — no-op regardless of metadata content. - if self.get_by_arrow_extension_name(arrow_extension_name) is not None: - logger.debug( - "ensure_extension_type: %r already registered, skipping", - arrow_extension_name, - ) - return - - # Step 2: None metadata — cannot auto-register; must be pre-registered. - if extension_metadata is None: - raise ValueError( - f"Extension type {arrow_extension_name!r} has no extension metadata " - f"(metadata is None).\n" - f"Types without a metadata category tag cannot be auto-registered via " - f"a factory — they must be pre-registered explicitly via " - f"registry.register_logical_type(logical_type) on the registry instance used for reads." - ) - - # Step 3: Parse JSON. - try: - metadata_dict = json.loads(extension_metadata.decode("utf-8")) - except (UnicodeDecodeError, json.JSONDecodeError) as exc: - raise ValueError( - f"Extension type {arrow_extension_name!r} has extension metadata that " - f"is not valid UTF-8 JSON: {extension_metadata!r}. " - f"Parse error: {exc}.\n" - f'Extension metadata must be a JSON object with at least a "category" ' - f'key, e.g. {{"category": "Dataclass"}}.' - ) from exc - - # Guard: JSON must decode to a dict (object), not a list, scalar, etc. - if not isinstance(metadata_dict, dict): - raise ValueError( - f"Extension type {arrow_extension_name!r} has extension metadata that " - f"decoded to a non-object JSON value: {metadata_dict!r}. " - f'Extension metadata must be a JSON object with at least a "category" ' - f'key, e.g. {{"category": "Dataclass"}}.' - ) - - # Step 4: Require "category" key. - if "category" not in metadata_dict: - raise ValueError( - f"Extension type {arrow_extension_name!r} has extension metadata JSON " - f'with no "category" key: {metadata_dict}. Extension metadata must be ' - f'a JSON object with at least a "category" key, e.g. ' - f'{{"category": "Dataclass"}}.' - ) - - category = metadata_dict["category"] - - # Guard: "category" value must be a string (used as dict key for factory lookup). - if not isinstance(category, str): - raise ValueError( - f"Extension type {arrow_extension_name!r} has extension metadata JSON " - f'where "category" is not a string: {category!r}. ' - f'The "category" value must be a plain string, e.g. "Dataclass".' - ) - - # Step 5: Look up factory. - factory = self._category_factories.get(category) - if factory is None: - raise ValueError( - f"No LogicalTypeFactory is registered for category {category!r}.\n" - f"Cannot prepare extension type {arrow_extension_name!r} for " - f"registration.\n" - f"Register a factory on the registry instance used for reads via " - f"register_logical_type_factory(factory, category={category!r})." - ) - - # Step 6: Construct logical type via factory. - logger.debug( - "ensure_extension_type: %r not registered — dispatching to category %r factory", - arrow_extension_name, - category, - ) - logical_type = factory.reconstruct_from_arrow( - arrow_extension_name, storage_type, metadata_dict - ) - - # Step 7: Register in all three bindings + PA/Polars global registries. - self.register_logical_type(logical_type) - logger.debug( - "ensure_extension_type: successfully registered %r via factory for category %r", - arrow_extension_name, - category, - ) - - def ensure_logical_type_for_python_class( - self, - python_type: type, - ) -> LogicalTypeProtocol: - """Ensure a LogicalType exists for ``python_type``, synthesizing via factory if needed. - - Resolution algorithm: - - 1. Walk ``python_type.__mro__``. Track the first (most-specific) hit in - ``_by_python_type`` (concrete) and ``_python_class_factories`` (factory) - separately, recording the MRO index of each. - 2. After the MRO walk, if no factory was found, do a fallback ``issubclass`` - scan over ``_python_class_factories`` keys to catch ABCs with - ``__subclasshook__``. Assign these the least-specific index - (``len(python_type.__mro__)``) so they lose to any direct MRO match. - 3. Resolution rule: if both concrete and factory are found, compare MRO indices — - lower index wins. Ties (same class) → concrete wins. - 4. If factory wins (or only factory found): call - ``factory.create_for_python_type(python_type)``, register the result via - ``register_logical_type``, and return it. The registration caches it in - ``_by_python_type[python_type]``. - 5. If nothing found: raise ``TypeError``. - - Args: - python_type: The Python class to resolve. - - Returns: - The registered or newly synthesized ``LogicalTypeProtocol``. - - Raises: - TypeError: If no ``LogicalType`` and no factory is found for - ``python_type`` or any of its bases. - """ - best_concrete_idx: int | None = None - best_concrete: LogicalTypeProtocol | None = None - best_factory_idx: int | None = None - best_factory: LogicalTypeFactoryProtocol | None = None - - # Step 1: Walk MRO for direct hits. - for i, base in enumerate(python_type.__mro__): - if best_concrete is None and base in self._by_python_type: - best_concrete_idx = i - best_concrete = self._by_python_type[base] - if best_factory is None and base in self._python_class_factories: - best_factory_idx = i - best_factory = self._python_class_factories[base] - if best_concrete is not None and best_factory is not None: - break - - # Step 2: issubclass fallback scan for ABCs with __subclasshook__. - if best_factory is None: - for base_class, factory in self._python_class_factories.items(): - try: - if issubclass(python_type, base_class): - best_factory = factory - # ABC match — assign lower priority than any direct MRO hit. - best_factory_idx = len(python_type.__mro__) - break - except TypeError: - continue - - # Step 3: Nothing found — hard error. - if best_concrete is None and best_factory is None: - raise TypeError( - f"No LogicalType or LogicalTypeFactory is registered for type " - f"{python_type!r}.\n" - f"To handle this type, register a factory for its base class:\n" - f" registry.register_logical_type_factory(\n" - f" factory, python_bases=[]\n" - f" )\n" - f"Or register a concrete LogicalType directly:\n" - f" registry.register_logical_type(my_logical_type)" - ) - - # Only concrete found. - if best_factory is None: - assert best_concrete is not None - return best_concrete - - # Only factory found — synthesize and cache. - if best_concrete is None: - assert best_factory is not None - lt = best_factory.create_for_python_type(python_type) - self.register_logical_type(lt) - logger.debug( - "ensure_logical_type_for_python_class: synthesized %r for %r", - lt.logical_type_name, - python_type, - ) - return lt - - # Both found — compare MRO specificity (lower index = more specific). - assert best_concrete_idx is not None - assert best_factory_idx is not None - if best_concrete_idx <= best_factory_idx: - # Concrete wins (same level or more specific; ties favour concrete). - return best_concrete - else: - # Factory is more specific — synthesize and cache. - lt = best_factory.create_for_python_type(python_type) - self.register_logical_type(lt) - logger.debug( - "ensure_logical_type_for_python_class: synthesized %r for %r " - "via more-specific factory", - lt.logical_type_name, - python_type, - ) - return lt - diff --git a/tests/test_core/function_pod/test_write_side_registration.py b/tests/test_core/function_pod/test_write_side_registration.py index dedce263..eedcf0df 100644 --- a/tests/test_core/function_pod/test_write_side_registration.py +++ b/tests/test_core/function_pod/test_write_side_registration.py @@ -62,8 +62,8 @@ class _LT: python_type = py_type def get_arrow_extension_type(self): return ArrowExt() def get_polars_extension_type(self): return PolarsExt() - def python_to_storage(self, v): return str(v) - def storage_to_python(self, v): return v + def python_to_storage(self, v, converter=None): return str(v) + def storage_to_python(self, v, converter=None): return v return _LT() @@ -73,10 +73,13 @@ def _make_registry_with_factory(*target_bases: type) -> tuple[LogicalTypeRegistr call_log: list[type] = [] class _Factory: - def reconstruct_from_arrow(self, name, storage, meta): + def supports_class(self, python_type): + return any(issubclass(python_type, base) for base in target_bases) + + def reconstruct_from_arrow(self, name, storage, meta, converter): return _make_logical_type(object) - def create_for_python_type(self, python_type): + def create_for_python_type(self, python_type, converter): call_log.append(python_type) return _make_logical_type(python_type) @@ -315,8 +318,10 @@ def test_pod_declaration_native_types_no_factory_call(): """Pods using only native types (int, str, etc.) never trigger factory lookup.""" class _NeverCalledFactory: - def reconstruct_from_arrow(self, *a): ... - def create_for_python_type(self, pt): + def supports_class(self, python_type): + return True + def reconstruct_from_arrow(self, name, storage, meta, converter): ... + def create_for_python_type(self, pt, converter): raise AssertionError(f"factory called for {pt!r}") registry = LogicalTypeRegistry() diff --git a/tests/test_databases/test_extension_aware_database.py b/tests/test_databases/test_extension_aware_database.py index 1cbb8cf1..259d6a8c 100644 --- a/tests/test_databases/test_extension_aware_database.py +++ b/tests/test_databases/test_extension_aware_database.py @@ -10,6 +10,7 @@ from orcapod.databases.extension_aware_database import ExtensionAwareDatabase from orcapod.databases.in_memory_databases import InMemoryArrowDatabase from orcapod.extension_types.registry import LogicalTypeRegistry, make_arrow_extension_type +from orcapod.semantic_types.universal_converter import UniversalTypeConverter # --------------------------------------------------------------------------- @@ -20,11 +21,11 @@ def _unique_name() -> str: return f"test.eadb.{uuid.uuid4().hex[:8]}" -def _make_registry_with_type( +def _make_converter_with_type( arrow_name: str, storage: pa.DataType = pa.large_utf8(), ): - """Return a (registry, ext_type_instance) pair with one registered type.""" + """Return a (converter, ext_type_instance) pair with one registered type.""" import polars as pl ExtCls = make_arrow_extension_type(arrow_name, storage) @@ -49,14 +50,21 @@ def get_arrow_extension_type(self): return ext_type def get_polars_extension_type(self): return _PolarsExt() - def python_to_storage(self, v): + def python_to_storage(self, v, converter=None): return str(v) - def storage_to_python(self, v): + def storage_to_python(self, v, converter=None): return v registry = LogicalTypeRegistry() registry.register_logical_type(_LT()) - return registry, ext_type + converter = UniversalTypeConverter(logical_type_registry=registry) + return converter, ext_type + + +def _make_converter(): + """Make a converter with an empty registry.""" + registry = LogicalTypeRegistry() + return UniversalTypeConverter(logical_type_registry=registry) def _degraded_table(arrow_name: str, storage: pa.DataType, values: list) -> pa.Table: @@ -76,7 +84,7 @@ def _degraded_table(arrow_name: str, storage: pa.DataType, values: list) -> pa.T def test_get_all_records_applies_extension_types(): """get_all_records returns table with extension types applied.""" name = _unique_name() - registry, ext_type = _make_registry_with_type(name) + converter, ext_type = _make_converter_with_type(name) inner_db = InMemoryArrowDatabase() # Add two separate records (distinct record_ids) so both rows survive deduplication. @@ -85,7 +93,7 @@ def test_get_all_records_applies_extension_types(): inner_db.add_record(("test",), record_id=b"r1", record=r1, flush=False) inner_db.add_record(("test",), record_id=b"r2", record=r2, flush=True) - db = ExtensionAwareDatabase(inner_db, registry) + db = ExtensionAwareDatabase(inner_db, converter) result = db.get_all_records(("test",)) assert result is not None @@ -96,13 +104,13 @@ def test_get_all_records_applies_extension_types(): def test_get_record_by_id_applies_extension_types(): """get_record_by_id returns table with extension types applied.""" name = _unique_name() - registry, ext_type = _make_registry_with_type(name) + converter, ext_type = _make_converter_with_type(name) inner_db = InMemoryArrowDatabase() degraded = _degraded_table(name, pa.large_utf8(), ["x"]) inner_db.add_record(("p",), record_id=b"r1", record=degraded, flush=True) - db = ExtensionAwareDatabase(inner_db, registry) + db = ExtensionAwareDatabase(inner_db, converter) result = db.get_record_by_id(("p",), b"r1") assert result is not None @@ -112,13 +120,13 @@ def test_get_record_by_id_applies_extension_types(): def test_get_records_by_ids_applies_extension_types(): """get_records_by_ids returns table with extension types applied.""" name = _unique_name() - registry, ext_type = _make_registry_with_type(name) + converter, ext_type = _make_converter_with_type(name) inner_db = InMemoryArrowDatabase() degraded = _degraded_table(name, pa.large_utf8(), ["a"]) inner_db.add_record(("p",), record_id=b"r1", record=degraded, flush=True) - db = ExtensionAwareDatabase(inner_db, registry) + db = ExtensionAwareDatabase(inner_db, converter) result = db.get_records_by_ids(("p",), [b"r1"]) assert result is not None @@ -127,18 +135,18 @@ def test_get_records_by_ids_applies_extension_types(): def test_get_all_records_returns_none_when_no_records(): """Returns None when the underlying database has no records for the path.""" - registry = LogicalTypeRegistry() + converter = _make_converter() inner_db = InMemoryArrowDatabase() - db = ExtensionAwareDatabase(inner_db, registry) + db = ExtensionAwareDatabase(inner_db, converter) assert db.get_all_records(("nonexistent",)) is None def test_write_methods_passthrough(): """add_record and add_records write correctly through the wrapper.""" - registry = LogicalTypeRegistry() + converter = _make_converter() inner_db = InMemoryArrowDatabase() - db = ExtensionAwareDatabase(inner_db, registry) + db = ExtensionAwareDatabase(inner_db, converter) t1 = pa.table({"x": pa.array([1], type=pa.int32())}) t2 = pa.table({"x": pa.array([2], type=pa.int32())}) @@ -151,23 +159,23 @@ def test_write_methods_passthrough(): def test_at_returns_extension_aware_database(): - """at() returns an ExtensionAwareDatabase with the same registry.""" - registry = LogicalTypeRegistry() + """at() returns an ExtensionAwareDatabase with the same converter.""" + converter = _make_converter() inner_db = InMemoryArrowDatabase() - db = ExtensionAwareDatabase(inner_db, registry) + db = ExtensionAwareDatabase(inner_db, converter) scoped = db.at("sub", "path") assert isinstance(scoped, ExtensionAwareDatabase) - assert scoped._registry is registry + assert scoped._converter is converter assert scoped.base_path == ("sub", "path") def test_base_path_delegates_to_inner(): """base_path reflects the inner database's base_path.""" - registry = LogicalTypeRegistry() + converter = _make_converter() inner_db = InMemoryArrowDatabase() - db = ExtensionAwareDatabase(inner_db, registry) + db = ExtensionAwareDatabase(inner_db, converter) assert db.base_path == () assert db.at("a").base_path == ("a",) @@ -175,9 +183,9 @@ def test_base_path_delegates_to_inner(): def test_plain_table_passthrough_unchanged(): """Tables with no extension type metadata are returned as-is (no wrapping overhead).""" - registry = LogicalTypeRegistry() + converter = _make_converter() inner_db = InMemoryArrowDatabase() - db = ExtensionAwareDatabase(inner_db, registry) + db = ExtensionAwareDatabase(inner_db, converter) table = pa.table({"n": pa.array([10, 20], type=pa.int64())}) inner_db.add_record(("p",), record_id=b"r1", record=table, flush=True) diff --git a/tests/test_extension_types/test_database_hooks.py b/tests/test_extension_types/test_database_hooks.py index c391de37..12403203 100644 --- a/tests/test_extension_types/test_database_hooks.py +++ b/tests/test_extension_types/test_database_hooks.py @@ -9,6 +9,7 @@ import pytest from orcapod.extension_types.registry import LogicalTypeRegistry, make_arrow_extension_type +from orcapod.semantic_types.universal_converter import UniversalTypeConverter # --------------------------------------------------------------------------- @@ -66,7 +67,10 @@ class _Factory: def __init__(self): self.calls: list[tuple] = [] - def reconstruct_from_arrow(self, arrow_extension_name, storage_type, metadata): + def supports_class(self, python_type): + return False + + def reconstruct_from_arrow(self, arrow_extension_name, storage_type, metadata, converter): import polars as pl from orcapod.extension_types.registry import make_arrow_extension_type @@ -94,31 +98,43 @@ def get_arrow_extension_type(self): return _arrow_cls() def get_polars_extension_type(self): return _PolarsExt() - def python_to_storage(self, value): + def python_to_storage(self, value, converter=None): return str(value) - def storage_to_python(self, storage_value): + def storage_to_python(self, storage_value, converter=None): return storage_value return _StubLT() + def create_for_python_type(self, python_type, converter): + pass + return _Factory() +def _make_converter(factory=None, category=None) -> UniversalTypeConverter: + """Make a UniversalTypeConverter with an optional factory registered.""" + registry = LogicalTypeRegistry() + converter = UniversalTypeConverter(logical_type_registry=registry) + if factory is not None and category is not None: + converter.register_logical_type_factory(factory, category=category) + return converter + + # --------------------------------------------------------------------------- # Fixture # --------------------------------------------------------------------------- @pytest.fixture -def fresh_registry(): - """A fresh, isolated LogicalTypeRegistry for each test.""" - return LogicalTypeRegistry() +def fresh_converter(): + """A fresh, isolated converter (with empty registry) for each test.""" + return _make_converter() # --------------------------------------------------------------------------- # Tests # --------------------------------------------------------------------------- -def test_no_extension_types_is_noop(fresh_registry): +def test_no_extension_types_is_noop(fresh_converter): """Schema with only primitives — register_discovered_extensions returns without touching registry.""" from orcapod.extension_types.database_hooks import register_discovered_extensions @@ -126,119 +142,123 @@ def test_no_extension_types_is_noop(fresh_registry): pa.field("id", pa.int64()), pa.field("name", pa.large_utf8()), ]) - register_discovered_extensions(fresh_registry, schema) - # fresh_registry is empty — no error means no spurious lookup was triggered - assert fresh_registry.get_by_arrow_extension_name("anything") is None + register_discovered_extensions(fresh_converter, schema) + # fresh registry is empty — no error means no spurious lookup was triggered + assert fresh_converter._logical_type_registry.get_by_arrow_extension_name("anything") is None -def test_known_type_is_registered(fresh_registry): +def test_known_type_is_registered(): """Schema with one extension type whose factory is registered — type is registered after call.""" from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() factory = _make_stub_factory() - fresh_registry.register_logical_type_factory(factory, category="TestCat") + converter = _make_converter(factory=factory, category="TestCat") metadata_bytes = json.dumps({"category": "TestCat"}).encode() schema = _make_ext_schema(arrow_name, metadata=metadata_bytes) - register_discovered_extensions(fresh_registry, schema) + register_discovered_extensions(converter, schema) - assert fresh_registry.get_by_arrow_extension_name(arrow_name) is not None + assert converter._logical_type_registry.get_by_arrow_extension_name(arrow_name) is not None assert len(factory.calls) == 1 -def test_already_registered_is_skipped(fresh_registry): +def test_already_registered_is_skipped(): """Calling register_discovered_extensions twice does not raise and factory is called once.""" from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() factory = _make_stub_factory() - fresh_registry.register_logical_type_factory(factory, category="TestCat") + converter = _make_converter(factory=factory, category="TestCat") metadata_bytes = json.dumps({"category": "TestCat"}).encode() schema = _make_ext_schema(arrow_name, metadata=metadata_bytes) - register_discovered_extensions(fresh_registry, schema) - register_discovered_extensions(fresh_registry, schema) # second call + register_discovered_extensions(converter, schema) + register_discovered_extensions(converter, schema) # second call assert len(factory.calls) == 1 # factory invoked exactly once -def test_none_metadata_already_registered_noop(fresh_registry): +def test_none_metadata_already_registered_noop(): """Extension type with None metadata that IS already in the registry — silent no-op.""" from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() factory = _make_stub_factory() - fresh_registry.register_logical_type_factory(factory, category="TestCat") + converter = _make_converter(factory=factory, category="TestCat") # First: register via metadata so it ends up in the registry. metadata_bytes = json.dumps({"category": "TestCat"}).encode() schema_with_meta = _make_ext_schema(arrow_name, metadata=metadata_bytes) - register_discovered_extensions(fresh_registry, schema_with_meta) + register_discovered_extensions(converter, schema_with_meta) # Now: same arrow name but with no metadata (simulates reading the schema without # metadata — e.g. after an IPC round-trip where the type is now registered in-process). - schema_no_meta = _make_ext_schema(arrow_name, metadata=None) # metadata=None → serialized as b"" → walker normalizes to None - register_discovered_extensions(fresh_registry, schema_no_meta) # should NOT raise + schema_no_meta = _make_ext_schema(arrow_name, metadata=None) + register_discovered_extensions(converter, schema_no_meta) # should NOT raise -def test_none_metadata_not_registered_raises(fresh_registry): +def test_none_metadata_not_registered_raises(): """Unregistered extension type with None metadata raises ValueError.""" from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() - schema = _make_ext_schema(arrow_name, metadata=None) # metadata=None → serialized as b"" → walker normalizes to None + converter = _make_converter() + schema = _make_ext_schema(arrow_name, metadata=None) - with pytest.raises(ValueError, match="must be pre-registered explicitly"): - register_discovered_extensions(fresh_registry, schema) + with pytest.raises(ValueError, match="Pre-register them explicitly"): + register_discovered_extensions(converter, schema) -def test_metadata_not_json_raises(fresh_registry): +def test_metadata_not_json_raises(): """Unregistered extension type with non-JSON metadata bytes raises ValueError.""" from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() + converter = _make_converter() schema = _make_field_metadata_schema(arrow_name, metadata=b"not-json!") with pytest.raises(ValueError, match="not valid UTF-8 JSON"): - register_discovered_extensions(fresh_registry, schema) + register_discovered_extensions(converter, schema) -def test_metadata_json_missing_category_raises(fresh_registry): +def test_metadata_json_missing_category_raises(): """Unregistered extension type with valid JSON but no 'category' key raises ValueError.""" from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() + converter = _make_converter() schema = _make_field_metadata_schema( arrow_name, metadata=json.dumps({"version": 1}).encode() ) with pytest.raises(ValueError, match='"category"'): - register_discovered_extensions(fresh_registry, schema) + register_discovered_extensions(converter, schema) -def test_unknown_metadata_raises(fresh_registry): +def test_unknown_metadata_raises(): """Unregistered extension type with valid JSON and 'category' but no matching factory raises ValueError.""" from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() + converter = _make_converter() schema = _make_field_metadata_schema( arrow_name, metadata=json.dumps({"category": "NoSuchFactory"}).encode() ) with pytest.raises(ValueError, match="NoSuchFactory"): - register_discovered_extensions(fresh_registry, schema) + register_discovered_extensions(converter, schema) -def test_nested_extension_type(fresh_registry): +def test_nested_extension_type(): """Extension type inside a struct column is discovered and registered.""" from orcapod.extension_types.database_hooks import register_discovered_extensions arrow_name = _unique_name() factory = _make_stub_factory() - fresh_registry.register_logical_type_factory(factory, category="TestCat") + converter = _make_converter(factory=factory, category="TestCat") metadata_bytes = json.dumps({"category": "TestCat"}).encode() inner_ext_cls = make_arrow_extension_type(arrow_name, pa.large_utf8(), metadata=metadata_bytes) @@ -246,7 +266,7 @@ def test_nested_extension_type(fresh_registry): struct_type = pa.struct([pa.field("inner", inner_ext_cls())]) schema = pa.schema([pa.field("outer", struct_type)]) - register_discovered_extensions(fresh_registry, schema) + register_discovered_extensions(converter, schema) - assert fresh_registry.get_by_arrow_extension_name(arrow_name) is not None + assert converter._logical_type_registry.get_by_arrow_extension_name(arrow_name) is not None assert len(factory.calls) == 1 diff --git a/tests/test_extension_types/test_registry.py b/tests/test_extension_types/test_registry.py index 7f8b7901..970bbf72 100644 --- a/tests/test_extension_types/test_registry.py +++ b/tests/test_extension_types/test_registry.py @@ -354,118 +354,6 @@ def test_register_logical_type_factory_python_base_same_factory_idempotent(): registry.register_logical_type_factory(factory, python_bases=[str]) registry.register_logical_type_factory(factory, python_bases=[str]) # no error - -# ── ensure_logical_type_for_python_class tests ─────────────────────────────── - -class _A: - pass - - -class _B(_A): - pass - - -class _C(_B): - pass - - -def test_ensure_for_python_class_concrete_exact_match(): - """Returns the concrete LogicalType when exact Python type is registered.""" - registry = LogicalTypeRegistry() - lt = _make_stub(py_type=_A) - registry.register_logical_type(lt) - result = registry.ensure_logical_type_for_python_class(_A) - assert result is lt - - -def test_ensure_for_python_class_concrete_mro_match(): - """Returns concrete LogicalType registered for a parent class via MRO walk.""" - registry = LogicalTypeRegistry() - lt = _make_stub(py_type=_A) - registry.register_logical_type(lt) - result = registry.ensure_logical_type_for_python_class(_C) - assert result is lt - - -def test_ensure_for_python_class_factory_synthesis(): - """Calls factory.create_for_python_type and registers the result.""" - registry = LogicalTypeRegistry() - factory = _make_stub_factory() - registry.register_logical_type_factory(factory, python_bases=[_A]) - result = registry.ensure_logical_type_for_python_class(_C) - assert len(factory.python_type_calls) == 1 - assert factory.python_type_calls[0] is _C - # Synthesized type is now registered — second call hits cache - cached = registry.ensure_logical_type_for_python_class(_C) - assert cached is result - assert len(factory.python_type_calls) == 1 # factory NOT called again - - -def test_ensure_for_python_class_concrete_beats_factory_same_mro_level(): - """When concrete type and factory are registered for the same class, concrete wins.""" - registry = LogicalTypeRegistry() - lt = _make_stub(py_type=_A) - registry.register_logical_type(lt) - factory = _make_stub_factory() - registry.register_logical_type_factory(factory, python_bases=[_A]) - result = registry.ensure_logical_type_for_python_class(_A) - assert result is lt - assert len(factory.python_type_calls) == 0 # factory never called - - -def test_ensure_for_python_class_factory_more_specific_than_concrete(): - """Factory registered for a subclass beats concrete registered for a parent.""" - registry = LogicalTypeRegistry() - lt_a = _make_stub(py_type=_A) - registry.register_logical_type(lt_a) # concrete for _A - factory = _make_stub_factory() - registry.register_logical_type_factory(factory, python_bases=[_B]) # factory for _B - # Query _C: factory at _B (MRO index 1) beats concrete at _A (MRO index 2) - registry.ensure_logical_type_for_python_class(_C) - assert len(factory.python_type_calls) == 1 - assert factory.python_type_calls[0] is _C - - -def test_ensure_for_python_class_concrete_more_specific_than_factory(): - """Concrete registered for a subclass beats factory registered for a parent.""" - registry = LogicalTypeRegistry() - factory = _make_stub_factory() - registry.register_logical_type_factory(factory, python_bases=[_A]) # factory for _A - lt_b = _make_stub(py_type=_B) - registry.register_logical_type(lt_b) # concrete for _B - # Query _C: concrete at _B (MRO index 1) beats factory at _A (MRO index 2) - result = registry.ensure_logical_type_for_python_class(_C) - assert result is lt_b - assert len(factory.python_type_calls) == 0 - - -def test_ensure_for_python_class_abc_subclasshook(): - """issubclass fallback scan catches ABCs with __subclasshook__.""" - from abc import ABCMeta - - class _StructuralABC(metaclass=ABCMeta): - @classmethod - def __subclasshook__(cls, C): - return hasattr(C, "_MARKER") - - class _MarkedClass: - _MARKER = True - - registry = LogicalTypeRegistry() - factory = _make_stub_factory() - registry.register_logical_type_factory(factory, python_bases=[_StructuralABC]) - result = registry.ensure_logical_type_for_python_class(_MarkedClass) - assert len(factory.python_type_calls) == 1 - assert factory.python_type_calls[0] is _MarkedClass - - -def test_ensure_for_python_class_no_match_raises_type_error(): - """TypeError raised when no LogicalType and no factory match the type.""" - registry = LogicalTypeRegistry() - with pytest.raises(TypeError, match="No LogicalType or LogicalTypeFactory"): - registry.ensure_logical_type_for_python_class(_C) - - # --------------------------------------------------------------------------- # PyArrow global registry tests # --------------------------------------------------------------------------- @@ -742,101 +630,9 @@ def test_make_polars_extension_type_with_metadata(): -# --------------------------------------------------------------------------- -# ensure_extension_type tests -# --------------------------------------------------------------------------- -def test_register_logical_type_factory_dispatches_on_prepare(): - """ensure_extension_type dispatches to the registered factory and registers the result.""" +def test_registry_does_not_expose_ensure_methods(): + """ensure_logical_type_for_python_class and ensure_extension_type are removed.""" registry = LogicalTypeRegistry() - factory = _make_stub_factory() - registry.register_logical_type_factory(factory, category="TestCat") - - arrow_name = _unique_name() - metadata_bytes = json.dumps({"category": "TestCat"}).encode() - registry.ensure_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) - - assert len(factory.calls) == 1 - assert factory.calls[0][0] == arrow_name - assert registry.get_by_arrow_extension_name(arrow_name) is not None - - -def test_factory_receives_full_metadata_dict(): - """The factory's reconstruct_from_arrow receives the full parsed JSON dict, not just category.""" - registry = LogicalTypeRegistry() - factory = _make_stub_factory() - registry.register_logical_type_factory(factory, category="TestCat") - - arrow_name = _unique_name() - metadata_bytes = json.dumps( - {"category": "TestCat", "protocol": 5, "version": "1.0"} - ).encode() - registry.ensure_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) - - assert len(factory.calls) == 1 - _, _, received_metadata = factory.calls[0] - assert received_metadata == {"category": "TestCat", "protocol": 5, "version": "1.0"} - - -def test_prepare_already_registered_noop(): - """ensure_extension_type called twice does not raise and does not call the factory again.""" - registry = LogicalTypeRegistry() - factory = _make_stub_factory() - registry.register_logical_type_factory(factory, category="TestCat") - - arrow_name = _unique_name() - metadata_bytes = json.dumps({"category": "TestCat"}).encode() - - registry.ensure_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) - registry.ensure_extension_type(arrow_name, metadata_bytes, pa.large_utf8()) # second call - - assert len(factory.calls) == 1 # factory called exactly once - - -def test_prepare_already_registered_none_metadata_noop(): - """Type pre-registered via register(); None metadata on prepare call is a silent no-op.""" - registry = LogicalTypeRegistry() - lt = _make_stub() - registry.register_logical_type(lt) - - arrow_name = lt.get_arrow_extension_type().extension_name - registry.ensure_extension_type(arrow_name, None, pa.large_utf8()) # should not raise - - -def test_prepare_none_metadata_not_registered_raises(): - """None metadata for an unregistered extension type raises ValueError.""" - registry = LogicalTypeRegistry() - arrow_name = _unique_name() - - with pytest.raises(ValueError, match="must be pre-registered explicitly"): - registry.ensure_extension_type(arrow_name, None, pa.large_utf8()) - - -def test_prepare_invalid_json_raises(): - """Non-UTF-8-JSON extension_metadata raises ValueError with raw bytes and parse error.""" - registry = LogicalTypeRegistry() - arrow_name = _unique_name() - bad_metadata = b"not-json!" - - with pytest.raises(ValueError, match="not valid UTF-8 JSON"): - registry.ensure_extension_type(arrow_name, bad_metadata, pa.large_utf8()) - - -def test_prepare_json_missing_category_raises(): - """Valid JSON metadata without a 'category' key raises ValueError.""" - registry = LogicalTypeRegistry() - arrow_name = _unique_name() - no_category = json.dumps({"version": 1}).encode() - - with pytest.raises(ValueError, match='"category"'): - registry.ensure_extension_type(arrow_name, no_category, pa.large_utf8()) - - -def test_prepare_unknown_category_raises(): - """Valid JSON with 'category' but no matching factory raises ValueError.""" - registry = LogicalTypeRegistry() - arrow_name = _unique_name() - unknown = json.dumps({"category": "NoSuchFactory"}).encode() - - with pytest.raises(ValueError, match="NoSuchFactory"): - registry.ensure_extension_type(arrow_name, unknown, pa.large_utf8()) + assert not hasattr(registry, "ensure_logical_type_for_python_class") + assert not hasattr(registry, "ensure_extension_type") From 717fe95f8e722e80230980e38bfb11f2b8697e7b Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 16:55:03 +0000 Subject: [PATCH 111/206] feat(dataclass_handler): implement DataclassLogicalType and DataclassHandlerFactory - DataclassLogicalType binds a Python dataclass to an Arrow extension type backed by a pa.struct of its fields; delegates per-field conversion to the converter (write: python_to_storage, read: storage_to_python) - DataclassHandlerFactory write path: iterates dataclass fields, resolves each field's Arrow type via converter.register_python_class, rejects local classes (no stable FQCN for round-trip) - DataclassHandlerFactory read path: imports class from FQCN via _import_from_fqcn, matches field annotations, returns DataclassLogicalType - _strip_ext_to_storage helper: strips nested pa.ExtensionType down to storage types before make_polars_extension_type, which cannot build empty arrays from structs containing extension-typed fields - Full test coverage: protocol conformance, python_to_storage, storage_to_python, field types (flat, UUID, list, dict), local class rejection, reconstruct from Arrow, and UUID round-trip Co-Authored-By: Claude Sonnet 4.6 --- .../extension_types/dataclass_handler.py | 377 ++++++++++++++++++ .../test_dataclass_handler.py | 353 ++++++++++++++++ 2 files changed, 730 insertions(+) create mode 100644 src/orcapod/extension_types/dataclass_handler.py create mode 100644 tests/test_extension_types/test_dataclass_handler.py diff --git a/src/orcapod/extension_types/dataclass_handler.py b/src/orcapod/extension_types/dataclass_handler.py new file mode 100644 index 00000000..6a41ae78 --- /dev/null +++ b/src/orcapod/extension_types/dataclass_handler.py @@ -0,0 +1,377 @@ +"""DataclassLogicalType and DataclassHandlerFactory. + +Provides the ``DataclassLogicalType`` logical type implementation and the +``DataclassHandlerFactory`` that synthesises and reconstructs ``DataclassLogicalType`` +instances for Python dataclasses. + +Write path (``create_for_python_type``): + Iterates dataclass fields, delegates field Arrow-type resolution to the converter + via ``register_python_class``, and returns a ``DataclassLogicalType`` backed by + a ``pa.struct`` extension type. + +Read path (``reconstruct_from_arrow``): + Imports the dataclass by fully-qualified class name, resolves field annotations + against the (already bottom-up resolved) storage type, and returns a + ``DataclassLogicalType``. + +Category tag: ``"orcapod.dataclass"`` +""" + +from __future__ import annotations + +import dataclasses +import importlib +import json +import logging +from typing import TYPE_CHECKING, Any + +from orcapod.extension_types.registry import make_arrow_extension_type, make_polars_extension_type +from orcapod.utils.lazy_module import LazyModule + +if TYPE_CHECKING: + import polars as pl + import pyarrow as pa + from orcapod.extension_types.protocols import TypeConverterProtocol +else: + pa = LazyModule("pyarrow") + pl = LazyModule("polars") + +logger = logging.getLogger(__name__) + +#: Category tag embedded in Arrow extension metadata. Used as the factory dispatch key. +DATACLASS_CATEGORY = "orcapod.dataclass" + + +def _strip_ext_to_storage(arrow_type: "pa.DataType") -> "pa.DataType": + """Recursively strip ``pa.ExtensionType`` down to its storage type. + + ``make_polars_extension_type`` computes the Polars dtype via + ``pl.from_arrow(pa.array([], type=storage_type))``, which fails when the + storage type is a struct that contains extension-typed fields. This + helper strips those extension types before the Polars conversion. + + Args: + arrow_type: An Arrow data type, possibly containing nested extension types. + + Returns: + The same structural shape with all ``pa.ExtensionType`` nodes replaced + by their plain storage types. + """ + if isinstance(arrow_type, pa.ExtensionType): + return _strip_ext_to_storage(arrow_type.storage_type) + if pa.types.is_struct(arrow_type): + new_fields = [] + for i in range(arrow_type.num_fields): + field = arrow_type.field(i) + stripped = _strip_ext_to_storage(field.type) + new_fields.append(pa.field(field.name, stripped, nullable=field.nullable)) + return pa.struct(new_fields) + if pa.types.is_large_list(arrow_type): + return pa.large_list(_strip_ext_to_storage(arrow_type.value_type)) + if pa.types.is_list(arrow_type): + return pa.list_(_strip_ext_to_storage(arrow_type.value_type)) + return arrow_type + + +class DataclassLogicalType: + """Logical type binding a Python dataclass to its Arrow extension type representation. + + Stores the dataclass's fully-qualified class name as the Arrow extension name + and a ``pa.struct`` of the dataclass fields as the storage type. + + No Arrow-type reasoning lives here — all field-type resolution is owned by the + converter and completed before this object is constructed. + + Args: + logical_name: Fully-qualified class name (e.g. ``"mymodule.sub.MyData"``). + Used as both the logical type name and the Arrow extension name. + python_type: The Python dataclass ``type`` object. + storage_type: The Arrow ``pa.StructType`` for the dataclass fields. + field_annotations: Ordered list of ``(field_name, python_annotation)`` pairs + matching the fields in ``storage_type``. + + Example: + >>> lt = DataclassLogicalType( + ... "mymod.Point", Point, + ... pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]), + ... [("x", int), ("y", int)], + ... ) + >>> lt.python_to_storage(Point(1, 2), converter) + {"x": 1, "y": 2} + """ + + def __init__( + self, + logical_name: str, + python_type: type, + storage_type: "pa.StructType", + field_annotations: list[tuple[str, Any]], + ) -> None: + self._logical_name = logical_name + self._python_type = python_type + self._storage_type = storage_type + self._field_annotations = field_annotations + + _metadata = json.dumps({"category": DATACLASS_CATEGORY}).encode("utf-8") + self._arrow_ext_class = make_arrow_extension_type( + logical_name, storage_type, metadata=_metadata + ) + self._arrow_ext: "pa.ExtensionType | None" = None + # Strip nested extension types before deriving the Polars storage dtype. + # pl.from_arrow cannot build an empty array from a struct that contains + # Arrow extension-typed fields (e.g. orcapod.uuid inside a struct). + _polars_storage = _strip_ext_to_storage(storage_type) + self._polars_ext_class = make_polars_extension_type(logical_name, _polars_storage) + self._polars_ext: "pl.BaseExtension | None" = None + + @property + def logical_type_name(self) -> str: + """Fully-qualified class name used as the logical type identifier.""" + return self._logical_name + + @property + def python_type(self) -> type: + """The Python dataclass type this logical type represents.""" + return self._python_type + + def get_arrow_extension_type(self) -> "pa.ExtensionType": + """Return the Arrow extension type for this dataclass. + + Returns: + A cached ``pa.ExtensionType`` instance with ``extension_name`` equal to + the fully-qualified class name and ``storage_type`` equal to the struct + of the dataclass fields. + """ + if self._arrow_ext is None: + self._arrow_ext = self._arrow_ext_class() + return self._arrow_ext + + def get_polars_extension_type(self) -> "pl.BaseExtension": + """Return the Polars extension type for this dataclass. + + Returns: + A cached ``pl.BaseExtension`` instance. + """ + if self._polars_ext is None: + self._polars_ext = self._polars_ext_class() + return self._polars_ext + + def python_to_storage(self, value: Any, converter: "TypeConverterProtocol") -> dict[str, Any]: + """Convert a dataclass instance to an Arrow-compatible struct dict. + + Iterates ``_field_annotations`` and delegates each field's conversion to + ``converter.python_to_storage``. + + Args: + value: A dataclass instance of type ``python_type``. + converter: The active converter for per-field delegation. + + Returns: + A dict mapping field names to their Arrow storage values. + """ + return { + name: converter.python_to_storage(getattr(value, name), annotation) + for name, annotation in self._field_annotations + } + + def storage_to_python(self, storage_value: Any, converter: "TypeConverterProtocol") -> Any: + """Reconstruct a dataclass instance from an Arrow struct dict. + + Args: + storage_value: A dict mapping field names to Arrow storage values. + converter: The active converter for per-field delegation. + + Returns: + A dataclass instance of type ``python_type``. + """ + kwargs = { + name: converter.storage_to_python(storage_value[name], annotation) + for name, annotation in self._field_annotations + } + return self._python_type(**kwargs) + + +class DataclassHandlerFactory: + """Stateless factory that synthesises and reconstructs ``DataclassLogicalType`` instances. + + **Write path** (``create_for_python_type``): derives Arrow struct type from the + dataclass fields by delegating to ``converter.register_python_class`` per field. + + **Read path** (``reconstruct_from_arrow``): imports the dataclass by FQCN, matches + fields against the already-resolved ``storage_type``, and returns a + ``DataclassLogicalType``. + + Category tag: ``"orcapod.dataclass"`` + + Register with:: + + converter.register_logical_type_factory( + DataclassHandlerFactory(), + category="orcapod.dataclass", + python_bases=[object], + ) + + Example: + >>> factory = DataclassHandlerFactory() + >>> factory.supports_class(MyDataclass) + True + >>> factory.supports_class(str) + False + """ + + def supports_class(self, python_type: type) -> bool: + """Return True if ``python_type`` is a dataclass. + + Args: + python_type: Any Python type. + + Returns: + True if ``dataclasses.is_dataclass(python_type)`` is True. + """ + return dataclasses.is_dataclass(python_type) and isinstance(python_type, type) + + def create_for_python_type( + self, + python_type: type, + converter: "TypeConverterProtocol", + ) -> DataclassLogicalType: + """Synthesise a ``DataclassLogicalType`` for a Python dataclass (write path). + + Derives the FQCN, obtains type hints, and resolves each field's Arrow type + via ``converter.register_python_class``. Rejects local / unnamed classes. + + Args: + python_type: A Python dataclass type. + converter: The active converter for field-type resolution. + + Returns: + A ``DataclassLogicalType`` ready for registration. + + Raises: + ValueError: If ``python_type`` is a local class (``__qualname__`` contains + ``""``). + """ + import typing + + fqcn = f"{python_type.__module__}.{python_type.__qualname__}" + if "" in fqcn: + raise ValueError( + f"Cannot register local class {python_type!r} as a DataclassLogicalType — " + f"local classes have no stable fully-qualified class name and cannot be " + f"reconstructed on read. Define the dataclass at module level." + ) + + try: + hints = typing.get_type_hints(python_type) + except Exception as exc: + raise ValueError( + f"Cannot get type hints for {python_type!r}: {exc}" + ) from exc + + arrow_fields = [] + field_annotations = [] + for field in dataclasses.fields(python_type): + if not field.init: + continue + annotation = hints.get(field.name, Any) + arrow_type = converter.register_python_class(annotation) + arrow_fields.append(pa.field(field.name, arrow_type)) + field_annotations.append((field.name, annotation)) + + storage_type = pa.struct(arrow_fields) + logger.debug("DataclassHandlerFactory: synthesised %r for %r", fqcn, python_type) + return DataclassLogicalType(fqcn, python_type, storage_type, field_annotations) + + def reconstruct_from_arrow( + self, + arrow_extension_name: str, + storage_type: "pa.DataType", + metadata: dict[str, Any], + converter: "TypeConverterProtocol", + ) -> DataclassLogicalType: + """Reconstruct a ``DataclassLogicalType`` from Arrow schema metadata (read path). + + Imports the dataclass from its FQCN (``arrow_extension_name``), then matches + the dataclass field annotations against the fields in ``storage_type``. + ``storage_type`` is already bottom-up resolved by ``register_storage_type`` + before this method is called. + + Args: + arrow_extension_name: FQCN of the dataclass (Arrow extension name). + storage_type: Already-resolved ``pa.StructType`` for the dataclass fields. + metadata: Full parsed metadata JSON dict (always contains ``"category"``). + converter: The active converter (not needed here but required by protocol). + + Returns: + A ``DataclassLogicalType`` ready for registration. + + Raises: + ImportError: If the class cannot be imported from ``arrow_extension_name``. + ValueError: If ``storage_type`` is not a struct type. + """ + import typing + + if not pa.types.is_struct(storage_type): + raise ValueError( + f"DataclassHandlerFactory.reconstruct_from_arrow: expected a struct " + f"storage type for {arrow_extension_name!r}, got {storage_type!r}." + ) + + # Import class from FQCN using longest-prefix module walk + cls = _import_from_fqcn(arrow_extension_name) + + try: + hints = typing.get_type_hints(cls) + except Exception as exc: + raise ValueError( + f"Cannot get type hints for {cls!r}: {exc}" + ) from exc + + field_annotations = [] + for field in dataclasses.fields(cls): + if not field.init: + continue + annotation = hints.get(field.name, Any) + field_annotations.append((field.name, annotation)) + + logger.debug( + "DataclassHandlerFactory: reconstructed %r from Arrow", arrow_extension_name + ) + return DataclassLogicalType( + arrow_extension_name, cls, storage_type, field_annotations + ) + + +def _import_from_fqcn(fqcn: str) -> type: + """Import a class from its fully-qualified class name. + + Tries module prefixes from longest to shortest. For example, for + ``"mypackage.sub.MyClass"``, tries ``importlib.import_module("mypackage.sub")`` + then ``getattr(module, "MyClass")``. + + Args: + fqcn: Fully-qualified class name, e.g. ``"mypackage.sub.MyClass"``. + + Returns: + The imported class. + + Raises: + ImportError: If no valid module+attribute split can be found. + """ + parts = fqcn.rsplit(".", 1) + if len(parts) != 2: + raise ImportError(f"Cannot import from FQCN {fqcn!r}: no module separator found.") + + module_path, class_name = parts + try: + module = importlib.import_module(module_path) + cls = getattr(module, class_name) + if not dataclasses.is_dataclass(cls) or not isinstance(cls, type): + raise ImportError( + f"{class_name!r} in {module_path!r} is not a dataclass type." + ) + return cls + except (ImportError, AttributeError, ModuleNotFoundError) as exc: + raise ImportError( + f"Cannot import dataclass from FQCN {fqcn!r}: {exc}" + ) from exc diff --git a/tests/test_extension_types/test_dataclass_handler.py b/tests/test_extension_types/test_dataclass_handler.py new file mode 100644 index 00000000..c0683fdb --- /dev/null +++ b/tests/test_extension_types/test_dataclass_handler.py @@ -0,0 +1,353 @@ +"""Tests for DataclassLogicalType and DataclassHandlerFactory.""" + +from __future__ import annotations + +import dataclasses +import uuid as _uuid_module +from typing import Any + +import pyarrow as pa +import pytest + + +# ── Helpers ───────────────────────────────────────────────────────────────── + +class _StubConverter: + """Minimal converter stub for DataclassLogicalType tests.""" + + def python_to_storage(self, value, annotation): + if annotation is str: + return str(value) + if annotation is int: + return int(value) + return value + + def storage_to_python(self, storage_value, annotation): + if annotation is str: + return str(storage_value) + if annotation is int: + return int(storage_value) + return storage_value + + def register_python_class(self, annotation): + if annotation is str: + return pa.large_string() + if annotation is int: + return pa.int64() + raise ValueError(f"No mapping for {annotation}") + + +# ── DataclassLogicalType tests ─────────────────────────────────────────────── + +def test_dataclass_logical_type_is_importable(): + from orcapod.extension_types.dataclass_handler import DataclassLogicalType + assert DataclassLogicalType is not None + + +def test_dataclass_logical_type_protocol_conformance(): + from orcapod.extension_types.dataclass_handler import DataclassLogicalType + from orcapod.extension_types.protocols import LogicalTypeProtocol + + @dataclasses.dataclass + class _MyDC: + name: str + count: int + + storage = pa.struct([pa.field("name", pa.large_string()), pa.field("count", pa.int64())]) + field_annotations = [("name", str), ("count", int)] + lt = DataclassLogicalType( + logical_name="tests.MyDC", + python_type=_MyDC, + storage_type=storage, + field_annotations=field_annotations, + ) + assert isinstance(lt, LogicalTypeProtocol) + + +def test_dataclass_logical_type_python_to_storage(): + from orcapod.extension_types.dataclass_handler import DataclassLogicalType + + @dataclasses.dataclass + class _Point: + x: int + y: int + + storage = pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]) + lt = DataclassLogicalType("tests.Point", _Point, storage, [("x", int), ("y", int)]) + converter = _StubConverter() + + result = lt.python_to_storage(_Point(x=3, y=7), converter) + assert result == {"x": 3, "y": 7} + + +def test_dataclass_logical_type_storage_to_python(): + from orcapod.extension_types.dataclass_handler import DataclassLogicalType + + @dataclasses.dataclass + class _Point: + x: int + y: int + + storage = pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]) + lt = DataclassLogicalType("tests.Point", _Point, storage, [("x", int), ("y", int)]) + converter = _StubConverter() + + result = lt.storage_to_python({"x": 3, "y": 7}, converter) + assert isinstance(result, _Point) + assert result.x == 3 + assert result.y == 7 + + +def test_dataclass_logical_type_logical_type_name(): + from orcapod.extension_types.dataclass_handler import DataclassLogicalType + + @dataclasses.dataclass + class _Foo: + val: str + + storage = pa.struct([pa.field("val", pa.large_string())]) + lt = DataclassLogicalType("mymod.Foo", _Foo, storage, [("val", str)]) + assert lt.logical_type_name == "mymod.Foo" + + +def test_dataclass_logical_type_python_type(): + from orcapod.extension_types.dataclass_handler import DataclassLogicalType + + @dataclasses.dataclass + class _Bar: + val: str + + storage = pa.struct([pa.field("val", pa.large_string())]) + lt = DataclassLogicalType("mymod.Bar", _Bar, storage, [("val", str)]) + assert lt.python_type is _Bar + + +# ── DataclassHandlerFactory helpers ────────────────────────────────────────── + +def _make_full_converter(): + """Make a UniversalTypeConverter with builtin types + DataclassHandlerFactory.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath, LogicalUUID, LogicalUPath + from orcapod.extension_types.registry import LogicalTypeRegistry + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory, DATACLASS_CATEGORY + from orcapod.semantic_types.universal_converter import UniversalTypeConverter + + registry = LogicalTypeRegistry(logical_types=[LogicalPath(), LogicalUUID(), LogicalUPath()]) + factory = DataclassHandlerFactory() + registry.register_logical_type_factory(factory, category=DATACLASS_CATEGORY, python_bases=[object]) + return UniversalTypeConverter(logical_type_registry=registry) + + +# ── DataclassHandlerFactory write-path tests ───────────────────────────────── + +def test_factory_supports_class_dataclass(): + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + @dataclasses.dataclass + class _Dummy: + x: int + + factory = DataclassHandlerFactory() + assert factory.supports_class(_Dummy) is True + + +def test_factory_supports_class_non_dataclass(): + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + factory = DataclassHandlerFactory() + assert factory.supports_class(str) is False + assert factory.supports_class(int) is False + + +@dataclasses.dataclass +class _Flat: + name: str + count: int + + +@dataclasses.dataclass +class _WithUUID: + id: _uuid_module.UUID + label: str + + +@dataclasses.dataclass +class _WithList: + tags: list[str] + count: int + + +@dataclasses.dataclass +class _WithDict: + meta: dict[str, int] + + +def test_factory_create_flat_dataclass(): + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory, DataclassLogicalType + + factory = DataclassHandlerFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_Flat, converter=converter) + + assert isinstance(lt, DataclassLogicalType) + storage = lt.get_arrow_extension_type().storage_type + assert pa.types.is_struct(storage) + assert storage.field("name").type == pa.large_string() + assert storage.field("count").type == pa.int64() + + +def test_factory_create_dataclass_with_uuid_field(): + """UUID field → orcapod.uuid extension type in storage struct.""" + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + factory = DataclassHandlerFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_WithUUID, converter=converter) + + storage = lt.get_arrow_extension_type().storage_type + id_field_type = storage.field("id").type + assert isinstance(id_field_type, pa.ExtensionType) + assert id_field_type.extension_name == "orcapod.uuid" + + +def test_factory_create_dataclass_with_list_field(): + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + factory = DataclassHandlerFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_WithList, converter=converter) + + storage = lt.get_arrow_extension_type().storage_type + assert pa.types.is_large_list(storage.field("tags").type) + assert storage.field("tags").type.value_type == pa.large_string() + + +def test_factory_create_dataclass_with_dict_field(): + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + factory = DataclassHandlerFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_WithDict, converter=converter) + + storage = lt.get_arrow_extension_type().storage_type + meta_type = storage.field("meta").type + assert pa.types.is_large_list(meta_type) + assert pa.types.is_struct(meta_type.value_type) + field_names = {meta_type.value_type.field(i).name for i in range(meta_type.value_type.num_fields)} + assert field_names == {"key", "value"} + + +def test_factory_rejects_local_class(): + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + def _make_local(): + @dataclasses.dataclass + class _Local: + x: int + return _Local + + LocalClass = _make_local() + factory = DataclassHandlerFactory() + converter = _make_full_converter() + with pytest.raises(ValueError, match="local"): + factory.create_for_python_type(LocalClass, converter=converter) + + +def test_register_python_class_dispatches_to_dataclass_factory(): + """register_python_class on a dataclass triggers DataclassHandlerFactory.""" + converter = _make_full_converter() + + # For this test, use UUID as a proxy (already registered as built-in). + result = converter.register_python_class(_uuid_module.UUID) + assert isinstance(result, pa.ExtensionType) + assert result.extension_name == "orcapod.uuid" + + +# ── Module-level dataclasses for round-trip tests ──────────────────────────── + +@dataclasses.dataclass +class _RoundTripPoint: + """Module-level dataclass for round-trip testing.""" + x: int + y: int + + +@dataclasses.dataclass +class _RoundTripRecord: + """Module-level dataclass with a UUID field.""" + record_id: _uuid_module.UUID + label: str + + +# ── Read-path tests ─────────────────────────────────────────────────────────── + +def test_factory_reconstruct_from_arrow(): + """reconstruct_from_arrow rebuilds the logical type from the Arrow struct.""" + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory, DataclassLogicalType + + storage = pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]) + metadata = {"category": "orcapod.dataclass"} + fqcn = f"{_RoundTripPoint.__module__}.{_RoundTripPoint.__qualname__}" + + factory = DataclassHandlerFactory() + converter = _make_full_converter() + lt = factory.reconstruct_from_arrow(fqcn, storage, metadata, converter=converter) + + assert isinstance(lt, DataclassLogicalType) + assert lt.python_type is _RoundTripPoint + assert lt.logical_type_name == fqcn + + +def test_factory_reconstruct_from_arrow_invalid_fqcn(): + """ImportError if the FQCN cannot be resolved.""" + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + storage = pa.struct([pa.field("x", pa.int64())]) + factory = DataclassHandlerFactory() + converter = _make_full_converter() + + with pytest.raises(ImportError): + factory.reconstruct_from_arrow( + "nonexistent.module.NoSuchClass", storage, {"category": "orcapod.dataclass"}, converter + ) + + +def test_dataclass_python_to_storage_round_trip(): + """python_to_storage → storage_to_python returns an equivalent dataclass.""" + converter = _make_full_converter() + + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + factory = DataclassHandlerFactory() + lt = factory.create_for_python_type(_RoundTripPoint, converter=converter) + converter.register_logical_type(lt) + + point = _RoundTripPoint(x=10, y=20) + storage_value = lt.python_to_storage(point, converter) + assert storage_value == {"x": 10, "y": 20} + + reconstructed = lt.storage_to_python(storage_value, converter) + assert isinstance(reconstructed, _RoundTripPoint) + assert reconstructed.x == 10 + assert reconstructed.y == 20 + + +def test_dataclass_with_uuid_round_trip(): + """Round-trip a dataclass with a UUID field through python_to_storage / storage_to_python.""" + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + converter = _make_full_converter() + factory = DataclassHandlerFactory() + lt = factory.create_for_python_type(_RoundTripRecord, converter=converter) + converter.register_logical_type(lt) + + u = _uuid_module.UUID("12345678-1234-5678-1234-567812345678") + record = _RoundTripRecord(record_id=u, label="hello") + + storage_value = lt.python_to_storage(record, converter) + assert storage_value["label"] == "hello" + # UUID stored as bytes + assert storage_value["record_id"] == u.bytes + + reconstructed = lt.storage_to_python(storage_value, converter) + assert isinstance(reconstructed, _RoundTripRecord) + assert reconstructed.record_id == u + assert reconstructed.label == "hello" From aa9e529c6ba9400d9c2865792148708c33dde2a7 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 17:01:35 +0000 Subject: [PATCH 112/206] refactor(contexts): remove logical_type_registry from DataContext MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit DataContext.logical_type_registry is removed entirely; the registry is now a private implementation detail of UniversalTypeConverter, accessible via type_converter._logical_type_registry when needed. Changes: - contexts/core.py: remove logical_type_registry field and its import - contexts/__init__.py: remove get_default_logical_type_registry() and its __all__ entry - contexts/registry.py: remove "logical_type_registry" from required_fields and from the DataContext(...) constructor call - contexts/data/v0.1.json: move the logical_type_registry construction inside type_converter._config; remove the top-level block - contexts/data/schemas/context_schema.json: remove logical_type_registry from required and properties - tests: update all ctx.logical_type_registry → ctx.type_converter._logical_type_registry Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/contexts/__init__.py | 11 ------ src/orcapod/contexts/core.py | 26 ++++--------- .../contexts/data/schemas/context_schema.json | 8 +--- src/orcapod/contexts/data/v0.1.json | 37 +++++++++---------- src/orcapod/contexts/registry.py | 3 -- .../test_write_side_registration.py | 2 - .../test_builtin_logical_types.py | 32 ++++++++-------- .../test_universal_converter.py | 4 +- 8 files changed, 44 insertions(+), 79 deletions(-) diff --git a/src/orcapod/contexts/__init__.py b/src/orcapod/contexts/__init__.py index b36c60f9..1694df67 100644 --- a/src/orcapod/contexts/__init__.py +++ b/src/orcapod/contexts/__init__.py @@ -27,7 +27,6 @@ from typing import Any -from orcapod.extension_types.registry import LogicalTypeRegistry from orcapod.protocols import hashing_protocols as hp from orcapod.protocols import semantic_types_protocols as sp @@ -169,15 +168,6 @@ def get_default_context() -> DataContext: return resolve_context() -def get_default_logical_type_registry() -> LogicalTypeRegistry: - """Get the default logical type registry. - - Returns: - ``LogicalTypeRegistry`` instance from the default context. - """ - return get_default_context().logical_type_registry - - def get_default_semantic_hasher() -> hp.SemanticHasherProtocol: """ Get the default semantic hasher. @@ -246,7 +236,6 @@ def create_registry( "get_available_contexts", "get_context_info", "get_default_context", - "get_default_logical_type_registry", # Management functions "set_default_context_version", "validate_all_contexts", diff --git a/src/orcapod/contexts/core.py b/src/orcapod/contexts/core.py index 428d031f..cbf73a6d 100644 --- a/src/orcapod/contexts/core.py +++ b/src/orcapod/contexts/core.py @@ -1,13 +1,7 @@ -""" -Core data structures and exceptions for the OrcaPod context system. - -This module defines the basic types and exceptions used throughout -the context management system. -""" +"""Core data structures and exceptions for the OrcaPod context system.""" from dataclasses import dataclass -from orcapod.extension_types.registry import LogicalTypeRegistry from orcapod.hashing.semantic_hashing.type_handler_registry import TypeHandlerRegistry from orcapod.protocols.hashing_protocols import ( ArrowHasherProtocol, @@ -18,22 +12,17 @@ @dataclass class DataContext: - """ - Data context containing all versioned components needed for data interpretation. - - A DataContext represents a specific version of the OrcaPod system configuration, - including semantic type registries, hashers, and other components that affect - how data is processed and interpreted. + """Data context containing all versioned components needed for data interpretation. Attributes: context_key: Unique identifier (e.g., "std:v0.1:default") version: Version string (e.g., "v0.1") - description: Human-readable description of this context - semantic_type_registry: Registry of semantic type converters + description: Human-readable description + type_converter: Type converter for Python ↔ Arrow conversion and + registration. This is the single public API for all type operations. arrow_hasher: Arrow table hasher for this context semantic_hasher: General semantic hasher for this context - type_handler_registry: Registry of TypeHandlerProtocol instances for SemanticHasherProtocol - logical_type_registry: Registry of LogicalType instances (Path, UPath, UUID, etc.) + type_handler_registry: Registry of TypeHandlerProtocol instances """ context_key: str @@ -41,9 +30,8 @@ class DataContext: description: str type_converter: TypeConverterProtocol arrow_hasher: ArrowHasherProtocol - semantic_hasher: SemanticHasherProtocol # this is the currently the JSON hasher + semantic_hasher: SemanticHasherProtocol type_handler_registry: TypeHandlerRegistry - logical_type_registry: LogicalTypeRegistry class ContextValidationError(Exception): """Raised when context validation fails.""" diff --git a/src/orcapod/contexts/data/schemas/context_schema.json b/src/orcapod/contexts/data/schemas/context_schema.json index 909ca8dd..8557bf2c 100644 --- a/src/orcapod/contexts/data/schemas/context_schema.json +++ b/src/orcapod/contexts/data/schemas/context_schema.json @@ -8,12 +8,10 @@ "required": [ "context_key", "version", - "semantic_registry", "type_converter", "arrow_hasher", "semantic_hasher", - "type_handler_registry", - "logical_type_registry" + "type_handler_registry" ], "properties": { "context_key": { @@ -64,10 +62,6 @@ "$ref": "#/$defs/objectspec", "description": "ObjectSpec for the TypeHandlerRegistry used by the semantic hasher" }, - "logical_type_registry": { - "$ref": "#/$defs/objectspec", - "description": "ObjectSpec for the LogicalTypeRegistry (Path, UPath, UUID built-ins)" - }, "file_hasher": { "$ref": "#/$defs/objectspec", "description": "ObjectSpec for the file content hasher (used by PathContentHandler)" diff --git a/src/orcapod/contexts/data/v0.1.json b/src/orcapod/contexts/data/v0.1.json index bd530d70..9fa3e1a3 100644 --- a/src/orcapod/contexts/data/v0.1.json +++ b/src/orcapod/contexts/data/v0.1.json @@ -36,25 +36,6 @@ } } }, - "logical_type_registry": { - "_class": "orcapod.extension_types.registry.LogicalTypeRegistry", - "_config": { - "logical_types": [ - { - "_class": "orcapod.extension_types.builtin_logical_types.LogicalPath", - "_config": {} - }, - { - "_class": "orcapod.extension_types.builtin_logical_types.LogicalUPath", - "_config": {} - }, - { - "_class": "orcapod.extension_types.builtin_logical_types.LogicalUUID", - "_config": {} - } - ] - } - }, "type_converter": { "_class": "orcapod.semantic_types.universal_converter.UniversalTypeConverter", "_config": { @@ -62,7 +43,23 @@ "_ref": "semantic_registry" }, "logical_type_registry": { - "_ref": "logical_type_registry" + "_class": "orcapod.extension_types.registry.LogicalTypeRegistry", + "_config": { + "logical_types": [ + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUUID", + "_config": {} + } + ] + } } } }, diff --git a/src/orcapod/contexts/registry.py b/src/orcapod/contexts/registry.py index b7e0aad0..80182ac3 100644 --- a/src/orcapod/contexts/registry.py +++ b/src/orcapod/contexts/registry.py @@ -148,12 +148,10 @@ def _load_spec_file(self, json_file: Path) -> None: required_fields = [ "context_key", "version", - "semantic_registry", "type_converter", "arrow_hasher", "semantic_hasher", "type_handler_registry", - "logical_type_registry", ] missing_fields = [field for field in required_fields if field not in spec] if missing_fields: @@ -303,7 +301,6 @@ def _create_context_from_spec(self, spec: dict[str, Any]) -> DataContext: arrow_hasher=ref_lut["arrow_hasher"], semantic_hasher=ref_lut["semantic_hasher"], type_handler_registry=ref_lut["type_handler_registry"], - logical_type_registry=ref_lut["logical_type_registry"], ) except Exception as e: diff --git a/tests/test_core/function_pod/test_write_side_registration.py b/tests/test_core/function_pod/test_write_side_registration.py index eedcf0df..198dd05d 100644 --- a/tests/test_core/function_pod/test_write_side_registration.py +++ b/tests/test_core/function_pod/test_write_side_registration.py @@ -36,7 +36,6 @@ def _make_test_context(registry: LogicalTypeRegistry) -> DataContext: """ base_ctx = get_default_context() fresh_converter = UniversalTypeConverter( - semantic_registry=base_ctx.type_converter.semantic_registry, logical_type_registry=registry, ) return DataContext( @@ -47,7 +46,6 @@ def _make_test_context(registry: LogicalTypeRegistry) -> DataContext: arrow_hasher=base_ctx.arrow_hasher, semantic_hasher=base_ctx.semantic_hasher, type_handler_registry=base_ctx.type_handler_registry, - logical_type_registry=registry, ) diff --git a/tests/test_extension_types/test_builtin_logical_types.py b/tests/test_extension_types/test_builtin_logical_types.py index d29a37b8..5526486a 100644 --- a/tests/test_extension_types/test_builtin_logical_types.py +++ b/tests/test_extension_types/test_builtin_logical_types.py @@ -370,11 +370,12 @@ def test_logical_uuid_polars_round_trip(): def test_default_context_has_logical_type_registry(): - """DataContext has a logical_type_registry attribute.""" + """DataContext's type_converter has a _logical_type_registry attribute.""" from orcapod.contexts import get_default_context ctx = get_default_context() - assert hasattr(ctx, "logical_type_registry") + assert hasattr(ctx.type_converter, "_logical_type_registry") + assert ctx.type_converter._logical_type_registry is not None def test_default_context_registry_has_logical_path(): @@ -382,7 +383,7 @@ def test_default_context_registry_has_logical_path(): from orcapod.contexts import get_default_context from orcapod.extension_types.builtin_logical_types import LogicalPath - registry = get_default_context().logical_type_registry + registry = get_default_context().type_converter._logical_type_registry lt = registry.get_by_logical_name("orcapod.path") assert isinstance(lt, LogicalPath) @@ -392,7 +393,7 @@ def test_default_context_registry_lookup_by_python_type_path(): from orcapod.contexts import get_default_context from orcapod.extension_types.builtin_logical_types import LogicalPath - registry = get_default_context().logical_type_registry + registry = get_default_context().type_converter._logical_type_registry lt = registry.get_by_python_type(pathlib.Path) assert isinstance(lt, LogicalPath) @@ -402,7 +403,7 @@ def test_default_context_registry_lookup_by_arrow_name_path(): from orcapod.contexts import get_default_context from orcapod.extension_types.builtin_logical_types import LogicalPath - registry = get_default_context().logical_type_registry + registry = get_default_context().type_converter._logical_type_registry lt = registry.get_by_arrow_extension_name("orcapod.path") assert isinstance(lt, LogicalPath) @@ -412,7 +413,7 @@ def test_default_context_registry_has_logical_upath(): from orcapod.contexts import get_default_context from orcapod.extension_types.builtin_logical_types import LogicalUPath - registry = get_default_context().logical_type_registry + registry = get_default_context().type_converter._logical_type_registry lt = registry.get_by_logical_name("orcapod.upath") assert isinstance(lt, LogicalUPath) @@ -422,7 +423,7 @@ def test_default_context_registry_lookup_by_python_type_upath(): from orcapod.contexts import get_default_context from orcapod.extension_types.builtin_logical_types import LogicalUPath - registry = get_default_context().logical_type_registry + registry = get_default_context().type_converter._logical_type_registry lt = registry.get_by_python_type(UPath) assert isinstance(lt, LogicalUPath) @@ -432,7 +433,7 @@ def test_default_context_registry_has_logical_uuid(): from orcapod.contexts import get_default_context from orcapod.extension_types.builtin_logical_types import LogicalUUID - registry = get_default_context().logical_type_registry + registry = get_default_context().type_converter._logical_type_registry lt = registry.get_by_logical_name("orcapod.uuid") assert isinstance(lt, LogicalUUID) @@ -442,24 +443,25 @@ def test_default_context_registry_lookup_by_arrow_name_uuid(): from orcapod.contexts import get_default_context from orcapod.extension_types.builtin_logical_types import LogicalUUID - registry = get_default_context().logical_type_registry + registry = get_default_context().type_converter._logical_type_registry lt = registry.get_by_arrow_extension_name("orcapod.uuid") assert isinstance(lt, LogicalUUID) -def test_get_default_logical_type_registry_returns_same_as_context(): - """get_default_logical_type_registry() is the same object as get_default_context().logical_type_registry.""" - from orcapod.contexts import get_default_context, get_default_logical_type_registry +def test_default_type_converter_logical_registry_is_not_none(): + """The default context's type_converter has a non-None _logical_type_registry.""" + from orcapod.contexts import get_default_context - assert get_default_logical_type_registry() is get_default_context().logical_type_registry + ctx = get_default_context() + assert ctx.type_converter._logical_type_registry is not None def test_default_context_idempotent_registry(): """Calling get_default_context() twice returns the same LogicalTypeRegistry instance.""" from orcapod.contexts import get_default_context - r1 = get_default_context().logical_type_registry - r2 = get_default_context().logical_type_registry + r1 = get_default_context().type_converter._logical_type_registry + r2 = get_default_context().type_converter._logical_type_registry assert r1 is r2 diff --git a/tests/test_semantic_types/test_universal_converter.py b/tests/test_semantic_types/test_universal_converter.py index acd90dc3..a4743dc2 100644 --- a/tests/test_semantic_types/test_universal_converter.py +++ b/tests/test_semantic_types/test_universal_converter.py @@ -701,11 +701,11 @@ def test_converter_without_registry_unchanged(): def test_data_context_type_converter_holds_logical_type_registry(): - """DataContext's type_converter is constructed with the same logical_type_registry.""" + """DataContext's type_converter has a non-None _logical_type_registry.""" from orcapod.contexts import get_default_context ctx = get_default_context() assert hasattr(ctx.type_converter, "_logical_type_registry") - assert ctx.type_converter._logical_type_registry is ctx.logical_type_registry + assert ctx.type_converter._logical_type_registry is not None # ── Helpers for new tests ──────────────────────────────────────────────────── From 559d7482a266d9d90e1376320c49e50d19445ffd Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 17:23:11 +0000 Subject: [PATCH 113/206] refactor(type-registration): remove semantic_registry from UniversalTypeConverter, delete dataclass_encoding MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Remove semantic_registry param and all dataclass_encoding dispatch from UniversalTypeConverter; logical type registry is the sole type-routing mechanism for extension types - Rename extract_leaf_classes → _extract_leaf_classes (private utility) - Delete src/orcapod/semantic_types/dataclass_encoding.py and its test suite - Remove register_dataclass from the public orcapod top-level __init__ - Remove semantic_registry from v0.1.json type_converter config Part of PLT-1705. Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/__init__.py | 3 - src/orcapod/contexts/data/v0.1.json | 3 - src/orcapod/extension_types/type_utils.py | 8 +- .../semantic_types/dataclass_encoding.py | 366 -------- .../semantic_types/universal_converter.py | 117 +-- tests/test_extension_types/test_type_utils.py | 2 +- .../test_dataclass_encoding.py | 804 ------------------ 7 files changed, 7 insertions(+), 1296 deletions(-) delete mode 100644 src/orcapod/semantic_types/dataclass_encoding.py delete mode 100644 tests/test_semantic_types/test_dataclass_encoding.py diff --git a/src/orcapod/__init__.py b/src/orcapod/__init__.py index 7810376c..aff39341 100644 --- a/src/orcapod/__init__.py +++ b/src/orcapod/__init__.py @@ -11,8 +11,6 @@ ) from .core.nodes.source_node import SourceNode from .pipeline import Pipeline, PipelineJob -from .semantic_types.dataclass_encoding import register_dataclass - # Subpackage re-exports for clean public API from . import databases # noqa: F401 from . import nodes # noqa: F401 @@ -44,7 +42,6 @@ "Pipeline", "PipelineJob", "SourceNode", - "register_dataclass", "databases", "nodes", "operators", diff --git a/src/orcapod/contexts/data/v0.1.json b/src/orcapod/contexts/data/v0.1.json index 9fa3e1a3..f93a58b7 100644 --- a/src/orcapod/contexts/data/v0.1.json +++ b/src/orcapod/contexts/data/v0.1.json @@ -39,9 +39,6 @@ "type_converter": { "_class": "orcapod.semantic_types.universal_converter.UniversalTypeConverter", "_config": { - "semantic_registry": { - "_ref": "semantic_registry" - }, "logical_type_registry": { "_class": "orcapod.extension_types.registry.LogicalTypeRegistry", "_config": { diff --git a/src/orcapod/extension_types/type_utils.py b/src/orcapod/extension_types/type_utils.py index ecc8aad2..33b8b52a 100644 --- a/src/orcapod/extension_types/type_utils.py +++ b/src/orcapod/extension_types/type_utils.py @@ -10,7 +10,7 @@ from typing import Any, Iterator -def extract_leaf_classes(annotation: Any) -> Iterator[type]: +def _extract_leaf_classes(annotation: Any) -> Iterator[type]: """Recursively yield all concrete leaf Python classes from a type annotation. Unwraps generic aliases (``list[T]``, ``dict[K, V]``, ``Optional[T]``, @@ -31,9 +31,9 @@ def extract_leaf_classes(annotation: Any) -> Iterator[type]: Concrete Python ``type`` objects found at leaf positions. Examples: - >>> list(extract_leaf_classes(list[int])) + >>> list(_extract_leaf_classes(list[int])) [] - >>> set(extract_leaf_classes(dict[str, list[MyClass]])) + >>> set(_extract_leaf_classes(dict[str, list[MyClass]])) {, } """ origin = typing.get_origin(annotation) @@ -48,4 +48,4 @@ def extract_leaf_classes(annotation: Any) -> Iterator[type]: for arg in typing.get_args(annotation): if arg is type(None): continue - yield from extract_leaf_classes(arg) + yield from _extract_leaf_classes(arg) diff --git a/src/orcapod/semantic_types/dataclass_encoding.py b/src/orcapod/semantic_types/dataclass_encoding.py deleted file mode 100644 index 13467a1a..00000000 --- a/src/orcapod/semantic_types/dataclass_encoding.py +++ /dev/null @@ -1,366 +0,0 @@ -# src/orcapod/semantic_types/dataclass_encoding.py -""" -Dataclass <-> Arrow struct encoding for Orcapod. - -Encodes Python dataclasses as Arrow structs with a ``__dataclass.`` sentinel -field carrying the fully-qualified class name. Decoding uses a three-tier -fallback: import -> registry -> synthesize. -""" - -from __future__ import annotations - -import dataclasses -import importlib -import logging -import os -import re -import sys -import typing -from typing import TYPE_CHECKING, Any - -from orcapod.utils.lazy_module import LazyModule - -if TYPE_CHECKING: - import pyarrow as pa -else: - pa = LazyModule("pyarrow") - -logger = logging.getLogger(__name__) - -DATACLASS_TYPE_FIELD = "__dataclass." -DATACLASS_TYPE_PREFIX = "dataclass:" - -# Validates fully-qualified class names like "my_module.sub.MyClass". -# Also accepts qualnames containing "" segments produced by local -# class definitions (e.g. "mod.func..MyClass"). Each dot-separated -# segment may be a normal identifier or the literal token "". -_FQCN_RE = re.compile(r"^[A-Za-z_]\w*(\.[A-Za-z_]\w*|\.)+$") - -# Matches all identifier tokens within a stringified annotation. -# Used by _get_type_hints_safe to handle compound forms like -# "Optional[_Inner]", "list[_Inner]", or "_Inner | None". -_IDENT_RE = re.compile(r"[A-Za-z_]\w*") - -# Process-global registry for tier-2 reconstruction. -# Populated via register_dataclass(); persists for the process lifetime. -_DATACLASS_REGISTRY: dict[str, type] = {} - -# Tier-1 import gate. -# Set ORCAPOD_DATACLASS_IMPORT=0 to disable importlib-based reconstruction, -# e.g. in environments where arbitrary module import from on-disk __type values -# is not acceptable. Tier-2 (registry) and tier-3 (synthesize) still work. -_TIER1_IMPORT_ENABLED: bool = os.environ.get("ORCAPOD_DATACLASS_IMPORT", "1") != "0" - - -def register_dataclass(cls: type) -> type: - """Register a dataclass for tier-2 reconstruction by fully-qualified name. - - Can be used as a class decorator or called directly. Returns ``cls`` - unchanged so it works transparently as a decorator. - - Args: - cls: A Python dataclass type to register. - - Returns: - The same ``cls`` that was passed in. - - Raises: - TypeError: If ``cls`` is not a dataclass type. - """ - if not dataclasses.is_dataclass(cls) or not isinstance(cls, type): - raise TypeError(f"{cls!r} is not a dataclass type") - key = f"{cls.__module__}.{cls.__qualname__}" - _DATACLASS_REGISTRY[key] = cls - return cls - - -def has_dataclass_type_sentinel(arrow_type: pa.DataType) -> bool: - """Return ``True`` if ``arrow_type`` is a struct with a ``__dataclass.`` string field. - - Accepts both ``pa.large_string()`` and ``pa.string()`` for compatibility - with data written by older Arrow versions. - - Args: - arrow_type: Any PyArrow data type. - - Returns: - True if ``arrow_type`` is a struct containing a - ``__dataclass.: (large_)string`` field. - """ - if not pa.types.is_struct(arrow_type): - return False - for i in range(arrow_type.num_fields): - field = arrow_type.field(i) - if field.name == DATACLASS_TYPE_FIELD: - return pa.types.is_large_string(field.type) or pa.types.is_string(field.type) - return False - - -def _get_type_hints_safe(cls: type) -> dict[str, Any]: - """Return type hints for a dataclass, tolerating unresolvable local annotations. - - Calls ``typing.get_type_hints(cls)`` first. If that raises ``NameError`` - (which happens for classes with annotations that reference locally-scoped - types when ``from __future__ import annotations`` is in effect), falls - back to searching call-stack frames for the identifier tokens referenced - in the annotations, then to module globals, and finally returns raw string - annotations as a last resort. - - The token scan (via ``_IDENT_RE``) extracts *all* identifiers from each - string annotation, so compound forms like ``"Optional[_Inner]"``, - ``"list[_Inner]"``, and ``"_Inner | None"`` are handled correctly — only - matching the whole annotation string would miss them. - - Frame traversal uses ``sys._getframe()``/``f_back`` rather than - ``inspect.stack()`` to avoid the overhead and strong-reference pitfalls - introduced by ``inspect.stack()``'s ``FrameInfo`` wrapper objects. - - Args: - cls: A Python dataclass type. - - Returns: - A dict mapping field names to resolved type hints. Values may be string - annotations for names that could not be resolved. - """ - try: - return typing.get_type_hints(cls) - except NameError: - pass - - localns: dict[str, Any] = {} - - # 1. Module globals for the class's module (cheap, no frame traversal needed). - module = sys.modules.get(cls.__module__) - if module is not None: - for name, obj in vars(module).items(): - if isinstance(obj, type): - localns[name] = obj - - # 2. Collect *all* identifier tokens from string annotations so that compound - # forms like "Optional[_Inner]" or "_Inner | None" are handled correctly. - raw_annotations = cls.__annotations__ - token_names: set[str] = set() - for v in raw_annotations.values(): - if isinstance(v, str): - token_names.update(_IDENT_RE.findall(v)) - - # 3. Walk the live frame chain via f_back — no FrameInfo objects, no extra - # strong references to frames. - if token_names: - frame = sys._getframe(0) - while frame is not None: - remaining = token_names - set(localns) - if not remaining: - break - for name in remaining: - obj = frame.f_locals.get(name) - if obj is not None and isinstance(obj, type): - localns[name] = obj - frame = frame.f_back - - try: - return typing.get_type_hints(cls, localns=localns) - except NameError: - pass - - # Last resort: return raw annotations (may contain strings for local types). - return dict(raw_annotations) - - -def dataclass_to_arrow_struct_type( - cls: type, - converter: Any, -) -> pa.StructType: - """Derive the Arrow struct type for a dataclass class. - - The resulting struct has ``__dataclass.: large_string`` as its first field, - followed by one field per dataclass field. Field types are resolved via - ``converter`` (a ``UniversalTypeConverter``), so nested dataclasses - produce nested structs automatically once the converter has the dataclass - branch wired in. - - Args: - cls: A Python dataclass type. - converter: A ``UniversalTypeConverter`` instance used for field type - resolution. - - Returns: - A ``pa.StructType`` with ``__type`` as the first field. - - Raises: - TypeError: If `cls` is not a dataclass type. - """ - if not dataclasses.is_dataclass(cls) or not isinstance(cls, type): - raise TypeError(f"{cls!r} is not a dataclass type") - - hints = _get_type_hints_safe(cls) - fields: list[pa.Field] = [pa.field(DATACLASS_TYPE_FIELD, pa.large_string())] - for f in dataclasses.fields(cls): - if not f.init: - # Fields excluded from __init__ are not part of the serialized - # representation — they are typically derived/computed post-init. - continue - arrow_type = converter.python_type_to_arrow_type(hints[f.name]) - fields.append(pa.field(f.name, arrow_type)) - return pa.struct(fields) - - -def dataclass_to_struct_dict( - obj: Any, - field_converters: dict[str, Any], -) -> dict[str, Any]: - """Encode a dataclass instance to an Arrow-compatible struct dict. - - Args: - obj: A dataclass instance to encode. - field_converters: Pre-built per-field converter callables keyed by - field name. Build these once per type at converter-creation time - and reuse per row to avoid repeated type dispatch. - - Returns: - A dict with ``__dataclass.`` as the first key followed by encoded field values. - - Raises: - TypeError: If ``obj`` is not a dataclass instance (e.g. a class itself - or a non-dataclass value). - """ - # dataclasses.is_dataclass() returns True for both classes and instances; - # isinstance(obj, type) distinguishes: True for classes, False for instances. - if not dataclasses.is_dataclass(obj) or isinstance(obj, type): - raise TypeError(f"{obj!r} is not a dataclass instance") - - cls = type(obj) - type_str = f"{DATACLASS_TYPE_PREFIX}{cls.__module__}.{cls.__qualname__}" - result: dict[str, Any] = {DATACLASS_TYPE_FIELD: type_str} - for f in dataclasses.fields(cls): - if not f.init: - # Fields excluded from __init__ are not part of the serialized - # representation — they are typically derived/computed post-init. - continue - value = getattr(obj, f.name) - converter_fn = field_converters.get(f.name, lambda v: v) - result[f.name] = converter_fn(value) - return result - - -def struct_dict_to_dataclass( - struct_dict: dict[str, Any], - field_converters: dict[str, Any], - lookup_cache: dict[str, type], -) -> Any: - """Decode an Arrow struct dict to a Python dataclass instance. - - Uses a three-tier fallback: - - 1. **Import** — ``importlib``-import the class from its fully-qualified name. - 2. **Registry** — look up the FQCN in the process-global ``_DATACLASS_REGISTRY``. - 3. **Synthesize** — create a throwaway dataclass with ``dataclasses.make_dataclass`` - matching the struct's field names (all fields typed as ``Any``). - - Tier 3 never raises. A ``lookup_cache`` (keyed by FQCN) amortises repeated - resolution across rows in the same read operation. - - Args: - struct_dict: Arrow struct row dict as produced by ``pa.Table.to_pylist()``. - field_converters: Per-field Arrow->Python converter callables (keyed by - field name, excluding ``__type``). - lookup_cache: Mutable dict used as a per-read cache. Pass the same dict - for all rows in a read operation; clear between operations if needed. - - Returns: - A dataclass instance (real or synthesized) with field values set. - """ - type_str = struct_dict.get(DATACLASS_TYPE_FIELD) - - fqcn: str | None = None - class_name = "SynthesizedDataclass" - - if type_str and isinstance(type_str, str) and type_str.startswith(DATACLASS_TYPE_PREFIX): - candidate = type_str[len(DATACLASS_TYPE_PREFIX):] - if _FQCN_RE.match(candidate): - fqcn = candidate - class_name = fqcn.rsplit(".", 1)[-1] - else: - logger.warning( - "struct_dict_to_dataclass: invalid __type value %r — falling back to tier 3", - type_str, - ) - - cls: type | None = None - - if fqcn is not None: - # Check lookup cache first (amortises tiers 1-3 across rows) - if fqcn in lookup_cache: - cls = lookup_cache[fqcn] - else: - # Tier 1: import (disabled when ORCAPOD_DATACLASS_IMPORT=0) - if _TIER1_IMPORT_ENABLED: - module_path, _, class_attr = fqcn.rpartition(".") - try: - module = importlib.import_module(module_path) - resolved = getattr(module, class_attr) - if not dataclasses.is_dataclass(resolved) or not isinstance(resolved, type): - raise AttributeError( - f"{class_attr!r} in {module_path!r} is not a dataclass type" - ) - cls = resolved - lookup_cache[fqcn] = cls - except (ImportError, AttributeError) as exc: - logger.debug( - "struct_dict_to_dataclass: tier 1 import failed for %r: %s", - fqcn, exc, - ) - else: - logger.debug( - "struct_dict_to_dataclass: tier 1 disabled (ORCAPOD_DATACLASS_IMPORT=0), " - "skipping import for %r", - fqcn, - ) - - # Tier 2: registry - if cls is None: - cls = _DATACLASS_REGISTRY.get(fqcn) - if cls is not None: - lookup_cache[fqcn] = cls - - # Tier 3: synthesize (fqcn valid but unresolvable) - if cls is None: - field_names = [k for k in struct_dict if k != DATACLASS_TYPE_FIELD] - cls = dataclasses.make_dataclass( - class_name, [(name, typing.Any) for name in field_names] - ) - lookup_cache[fqcn] = cls - else: - # No valid fqcn — tier 3 with no caching (no stable key) - field_names = [k for k in struct_dict if k != DATACLASS_TYPE_FIELD] - cls = dataclasses.make_dataclass( - class_name, [(name, typing.Any) for name in field_names] - ) - - # Instantiate: apply field converters, skip the __type sentinel, and only - # pass keys that correspond to init=True fields on the resolved class. - # Filtering to init fields tolerates superset-schema structs (extra keys - # are silently dropped) and avoids passing init=False fields to __init__. - # - # A non-null value for a dropped key is flagged as a warning: NULL is the - # expected state (column present in schema but not applicable to this row / - # this class); a real value being discarded is a sign of a schema mismatch - # or a bug in the encoding pipeline. - init_field_names = {f.name for f in dataclasses.fields(cls) if f.init} - data_kwargs: dict[str, Any] = {} - for key, value in struct_dict.items(): - if key == DATACLASS_TYPE_FIELD: - continue - if key not in init_field_names: - if value is not None: - logger.warning( - "struct_dict_to_dataclass: field %r has a non-null value (%r) " - "but is not accepted by %r.__init__ — the value will be discarded. " - "This may indicate a schema mismatch or a bug in the encoding pipeline.", - key, value, cls, - ) - continue - converter_fn = field_converters.get(key, lambda v: v) - data_kwargs[key] = converter_fn(value) if value is not None else None - - return cls(**data_kwargs) diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index 1c8d1344..d74c2b59 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -22,8 +22,7 @@ from typing import TYPE_CHECKING, Any, TypedDict, get_args, get_origin from orcapod.contexts import DataContext, resolve_context -from orcapod.extension_types.type_utils import extract_leaf_classes -from orcapod.semantic_types.semantic_registry import SemanticTypeRegistry +from orcapod.extension_types.type_utils import _extract_leaf_classes from orcapod.semantic_types.type_inference import infer_python_schema_from_pylist_data from orcapod.types import DataType, Schema, SchemaLike from orcapod.utils.lazy_module import LazyModule @@ -35,17 +34,6 @@ else: pa = LazyModule("pyarrow") -import dataclasses - -from orcapod.semantic_types.dataclass_encoding import ( - DATACLASS_TYPE_FIELD, - _get_type_hints_safe, - dataclass_to_arrow_struct_type, - dataclass_to_struct_dict, - has_dataclass_type_sentinel, - struct_dict_to_dataclass, -) - logger = logging.getLogger(__name__) @@ -157,13 +145,11 @@ class UniversalTypeConverter: def __init__( self, - semantic_registry: SemanticTypeRegistry | None = None, datetime_timezone: typing.Literal["strict", "coerce_utc"] = "strict", logical_type_registry: LogicalTypeRegistry | None = None, ): """ Args: - semantic_registry: Optional registry of semantic type converters. datetime_timezone: How to handle naive (timezone-less) ``datetime`` values when converting Python → Arrow. @@ -175,9 +161,8 @@ def __init__( all naive datetimes in your data represent UTC. logical_type_registry: Optional registry of ``LogicalType`` instances. When provided, extension-type identity takes priority over the - shape-based ``semantic_registry`` at encoding time. + shape-based logical type system at encoding time. """ - self.semantic_registry = semantic_registry self._datetime_timezone = datetime_timezone self._logical_type_registry = logical_type_registry @@ -193,7 +178,6 @@ def __init__( # Cache for type mappings self._python_to_arrow_types: dict[DataType, pa.DataType] = {} self._arrow_to_python_types: dict[pa.DataType, DataType] = {} - self._dataclass_lookup_cache: dict[str, type] = {} # Cycle detection for register_python_class self._in_progress: set[type] = set() @@ -838,22 +822,10 @@ def _convert_python_to_arrow(self, python_type: DataType) -> pa.DataType: if lt is not None: return lt.get_arrow_extension_type() - # Check semantic registry for registered types - if self.semantic_registry: - converter = self.semantic_registry.get_converter_for_python_type( - python_type - ) - if converter: - return converter.arrow_struct_type - # Handle typeddict look up if python_type in self._typeddict_to_struct_signature: return self._typeddict_to_struct_signature[python_type] - # Dataclass types → struct with __type sentinel - if dataclasses.is_dataclass(python_type) and isinstance(python_type, type): - return dataclass_to_arrow_struct_type(python_type, self) - # Check generic types origin = get_origin(python_type) args = get_args(python_type) @@ -960,48 +932,6 @@ def _convert_arrow_to_python(self, arrow_type: pa.DataType) -> type | Any: # Handle struct types elif pa.types.is_struct(arrow_type): - # Check if it's a registered semantic type first - if self.semantic_registry: - python_type = self.semantic_registry.get_python_type_for_semantic_struct_signature( - arrow_type - ) - if python_type: - return python_type - - # Dataclass structs: synthesize a concrete dataclass from the struct's - # field definitions. The sentinel field is excluded; each remaining - # field's Arrow type is recursively converted to a Python type. - # The result is cached automatically by arrow_type_to_python_type()'s - # _arrow_to_python_types dict so the same class is reused for the - # same struct schema. - if has_dataclass_type_sentinel(arrow_type): - # Respect per-field nullability: nullable Arrow fields become - # Optional[T] annotations so that the synthesized dataclass - # correctly conveys that those fields can hold None, and so - # that round-trips through python_schema_to_arrow_schema - # preserve the nullable flag. - fields = [ - ( - field.name, - self.arrow_type_to_python_type(field.type) | None - if field.nullable - else self.arrow_type_to_python_type(field.type), - ) - for field in arrow_type - if field.name != DATACLASS_TYPE_FIELD - ] - # Include nullability in the hash so that two structs with - # identical field names and Arrow types but different per-field - # nullability produce distinct class names in the lookup cache. - field_parts = [ - f"{f.name}:{'?' if f.nullable else ''}{f.type}" - for f in arrow_type - if f.name != DATACLASS_TYPE_FIELD - ] - name_hash = hashlib.md5("|".join(field_parts).encode()).hexdigest()[:8] - class_name = f"_SynthesizedDataclass_{name_hash}" - return dataclasses.make_dataclass(class_name, fields) - # Check if it is heterogeneous tuple if len(arrow_type) > 0 and all( field.name.startswith("f") and field.name[1:].isdigit() @@ -1188,24 +1118,6 @@ def _create_python_to_arrow_converter( # TODO: check if this step is necessary _ = self.python_type_to_arrow_type(python_type) - # Check for semantic type first - if self.semantic_registry: - converter = self.semantic_registry.get_converter_for_python_type( - python_type - ) - if converter: - return converter.python_to_struct_dict - - # Dataclass instances → struct dict with __type sentinel - if dataclasses.is_dataclass(python_type) and isinstance(python_type, type): - hints = _get_type_hints_safe(python_type) - field_converters = { - f.name: self.get_python_to_arrow_converter(hints[f.name]) - for f in dataclasses.fields(python_type) - if f.init # skip init=False fields: not part of the serialized repr - } - return lambda obj: dataclass_to_struct_dict(obj, field_converters) - # Create conversion function based on type # Without this guard, datetime would reach the `origin is None` catch-all @@ -1308,20 +1220,6 @@ def _create_arrow_to_python_converter( # Get the Python type for this Arrow type python_type = self.arrow_type_to_python_type(arrow_type) - # Check for semantic type first - if self.semantic_registry and pa.types.is_struct(arrow_type): - registered_python_type = ( - self.semantic_registry.get_python_type_for_semantic_struct_signature( - arrow_type - ) - ) - if registered_python_type: - converter = self.semantic_registry.get_converter_for_python_type( - registered_python_type - ) - if converter: - return converter.struct_dict_to_python - # Handle basic types - no conversion needed if ( pa.types.is_integer(arrow_type) @@ -1386,16 +1284,6 @@ def _create_arrow_to_python_converter( # Handle struct types - heterogeneous tuple or dynamic TypedDict elif pa.types.is_struct(arrow_type): - # Dataclass structs: per-row dispatch via __type value - if has_dataclass_type_sentinel(arrow_type): - field_converters = { - field.name: self.get_arrow_to_python_converter(field.type) - for field in arrow_type - if field.name != DATACLASS_TYPE_FIELD - } - cache = self._dataclass_lookup_cache - return lambda d: struct_dict_to_dataclass(d, field_converters, cache) - # if python_type if python_type is tuple or get_origin(python_type) is tuple: n = len(get_args(python_type)) @@ -1455,7 +1343,6 @@ def clear_cache(self) -> None: self._arrow_to_python_converters.clear() self._python_to_arrow_types.clear() self._arrow_to_python_types.clear() - self._dataclass_lookup_cache.clear() def get_cache_stats(self) -> dict[str, int]: """Get statistics about cache usage (useful for debugging/optimization).""" diff --git a/tests/test_extension_types/test_type_utils.py b/tests/test_extension_types/test_type_utils.py index 2897ac2d..a42b0622 100644 --- a/tests/test_extension_types/test_type_utils.py +++ b/tests/test_extension_types/test_type_utils.py @@ -4,7 +4,7 @@ from typing import Optional, Union -from orcapod.extension_types.type_utils import extract_leaf_classes +from orcapod.extension_types.type_utils import _extract_leaf_classes as extract_leaf_classes class _A: diff --git a/tests/test_semantic_types/test_dataclass_encoding.py b/tests/test_semantic_types/test_dataclass_encoding.py deleted file mode 100644 index b0f34ba8..00000000 --- a/tests/test_semantic_types/test_dataclass_encoding.py +++ /dev/null @@ -1,804 +0,0 @@ -# tests/test_semantic_types/test_dataclass_encoding.py -from __future__ import annotations - -import dataclasses -import os -import tempfile -import typing -from unittest.mock import MagicMock, patch - -import pyarrow as pa -import pytest - -from orcapod.semantic_types.dataclass_encoding import ( - DATACLASS_TYPE_FIELD, - DATACLASS_TYPE_PREFIX, - _DATACLASS_REGISTRY, - dataclass_to_arrow_struct_type, - dataclass_to_struct_dict, - has_dataclass_type_sentinel, - register_dataclass, - struct_dict_to_dataclass, -) -import orcapod.semantic_types.dataclass_encoding as _dc_enc -from orcapod.semantic_types.universal_converter import UniversalTypeConverter -from orcapod.types import Schema - - -@dataclasses.dataclass -class _Simple: - a: int - b: str - - -def test_constants(): - assert DATACLASS_TYPE_FIELD == "__dataclass." - assert DATACLASS_TYPE_PREFIX == "dataclass:" - - -def test_register_explicit(): - register_dataclass(_Simple) - key = f"{_Simple.__module__}.{_Simple.__qualname__}" - assert _DATACLASS_REGISTRY[key] is _Simple - - -def test_register_returns_class(): - result = register_dataclass(_Simple) - assert result is _Simple - - -def test_register_as_decorator(): - @register_dataclass - @dataclasses.dataclass - class _Decorated: - x: float - - key = f"{_Decorated.__module__}.{_Decorated.__qualname__}" - assert _DATACLASS_REGISTRY[key] is _Decorated - - -def test_register_non_dataclass_raises(): - with pytest.raises(TypeError, match="not a dataclass"): - register_dataclass(int) - - -def test_sentinel_large_string(): - t = pa.struct([pa.field("__dataclass.", pa.large_string()), pa.field("a", pa.int64())]) - assert has_dataclass_type_sentinel(t) is True - - -def test_sentinel_string_compat(): - # older Arrow versions wrote pa.string() instead of pa.large_string() - t = pa.struct([pa.field("__dataclass.", pa.string()), pa.field("a", pa.int64())]) - assert has_dataclass_type_sentinel(t) is True - - -def test_sentinel_missing_field(): - t = pa.struct([pa.field("a", pa.int64()), pa.field("b", pa.large_string())]) - assert has_dataclass_type_sentinel(t) is False - - -def test_sentinel_non_struct(): - assert has_dataclass_type_sentinel(pa.int64()) is False - - -def test_struct_type_basic_fields(): - @dataclasses.dataclass - class _Point: - x: int - y: float - - converter = UniversalTypeConverter() - result = dataclass_to_arrow_struct_type(_Point, converter) - - assert pa.types.is_struct(result) - # __dataclass. must be the first field - assert result[0].name == "__dataclass." - assert result[0].type == pa.large_string() - assert result.field("x").type == pa.int64() - assert result.field("y").type == pa.float64() - - -def test_struct_type_string_field(): - @dataclasses.dataclass - class _Named: - name: str - - converter = UniversalTypeConverter() - result = dataclass_to_arrow_struct_type(_Named, converter) - assert result.field("name").type == pa.large_string() - - -def test_struct_type_non_dataclass_raises(): - converter = UniversalTypeConverter() - with pytest.raises(TypeError, match="not a dataclass"): - dataclass_to_arrow_struct_type(int, converter) - - -def _build_field_converters(cls: type, converter: UniversalTypeConverter) -> dict: - """Helper: build per-field Python-to-Arrow converters for a dataclass.""" - hints = typing.get_type_hints(cls) - return { - f.name: converter.get_python_to_arrow_converter(hints[f.name]) - for f in dataclasses.fields(cls) - } - - -def test_struct_dict_simple(): - @dataclasses.dataclass - class _Box: - width: int - label: str - - converter = UniversalTypeConverter() - field_converters = _build_field_converters(_Box, converter) - obj = _Box(width=10, label="big") - result = dataclass_to_struct_dict(obj, field_converters) - - fqcn = f"{_Box.__module__}.{_Box.__qualname__}" - assert result[DATACLASS_TYPE_FIELD] == f"dataclass:{fqcn}" - assert result["width"] == 10 - assert result["label"] == "big" - - -def test_struct_dict_type_error_on_class(): - with pytest.raises(TypeError, match="not a dataclass instance"): - dataclass_to_struct_dict(_Simple, {}) - - -def test_struct_dict_type_error_on_non_dataclass(): - with pytest.raises(TypeError, match="not a dataclass instance"): - dataclass_to_struct_dict(42, {}) - - -@dataclasses.dataclass -class _TierOne: - value: int - - -def test_tier1_import(): - """Tier 1: class is importable via importlib.""" - fqcn = f"{_TierOne.__module__}.{_TierOne.__qualname__}" - struct_dict = { - "__dataclass.": f"dataclass:{fqcn}", - "value": 7, - } - field_converters = {"value": lambda v: v} - cache: dict = {} - - # Patch importlib so tier 1 returns _TierOne - module_path, _, class_attr = fqcn.rpartition(".") - with patch("orcapod.semantic_types.dataclass_encoding.importlib.import_module") as mock_import: - mock_mod = MagicMock() - setattr(mock_mod, class_attr, _TierOne) - mock_import.return_value = mock_mod - - result = struct_dict_to_dataclass(struct_dict, field_converters, cache) - - assert isinstance(result, _TierOne) - assert result.value == 7 - # Cache should be populated - assert cache[fqcn] is _TierOne - - -def test_tier1_cache_hit(): - """Tier 1: cache hit skips importlib entirely.""" - fqcn = "some.module.SomeClass" - cache = {fqcn: _TierOne} - struct_dict = {"__dataclass.": f"dataclass:{fqcn}", "value": 3} - field_converters = {"value": lambda v: v} - - with patch("orcapod.semantic_types.dataclass_encoding.importlib.import_module") as mock_import: - result = struct_dict_to_dataclass(struct_dict, field_converters, cache) - mock_import.assert_not_called() - - assert isinstance(result, _TierOne) - assert result.value == 3 - - -def test_tier2_registry(monkeypatch): - """Tier 2: importlib fails, class found in registry.""" - @dataclasses.dataclass - class _RegClass: - score: float - - fqcn = "fake.module.RegClass" - monkeypatch.setitem(_DATACLASS_REGISTRY, fqcn, _RegClass) - - struct_dict = {"__dataclass.": f"dataclass:{fqcn}", "score": 9.5} - field_converters = {"score": lambda v: v} - cache: dict = {} - - with patch("orcapod.semantic_types.dataclass_encoding.importlib.import_module", side_effect=ImportError("no module")): - result = struct_dict_to_dataclass(struct_dict, field_converters, cache) - - assert isinstance(result, _RegClass) - assert result.score == 9.5 - assert cache[fqcn] is _RegClass - - -def test_tier3_synthesize(): - """Tier 3: neither importable nor registered — synthesize a dataclass.""" - fqcn = "totally.unknown.Ghost" - struct_dict = {"__dataclass.": f"dataclass:{fqcn}", "name": "phantom", "age": 99} - field_converters = {"name": lambda v: v, "age": lambda v: v} - cache: dict = {} - - with patch("orcapod.semantic_types.dataclass_encoding.importlib.import_module", side_effect=ImportError("no module")): - result = struct_dict_to_dataclass(struct_dict, field_converters, cache) - - assert dataclasses.is_dataclass(result) - assert result.name == "phantom" # type: ignore[attr-defined] - assert result.age == 99 # type: ignore[attr-defined] - # Synthesized class cached under fqcn for future rows - assert fqcn in cache - - -def test_missing_type_field_tier3(): - """Struct without __type falls through to tier 3 silently.""" - struct_dict = {"value": 42} - field_converters = {"value": lambda v: v} - cache: dict = {} - - result = struct_dict_to_dataclass(struct_dict, field_converters, cache) - - assert dataclasses.is_dataclass(result) - assert result.value == 42 # type: ignore[attr-defined] - # No cache entry — no valid fqcn to cache under - assert len(cache) == 0 - - -def test_malformed_type_field_tier3(): - """Invalid __dataclass. format (fails regex) falls through to tier 3.""" - struct_dict = {"__dataclass.": "not-valid!!!", "x": 1} - field_converters = {"x": lambda v: v} - cache: dict = {} - - result = struct_dict_to_dataclass(struct_dict, field_converters, cache) - - assert dataclasses.is_dataclass(result) - assert result.x == 1 # type: ignore[attr-defined] - - -def test_utc_simple_round_trip(): - """Full encode->decode round-trip through UniversalTypeConverter.""" - @dataclasses.dataclass - class _Color: - r: int - g: int - b: int - - converter = UniversalTypeConverter() - arrow_type = converter.python_type_to_arrow_type(_Color) - assert has_dataclass_type_sentinel(arrow_type) - - obj = _Color(r=255, g=128, b=0) - encode = converter.get_python_to_arrow_converter(_Color) - encoded = encode(obj) - assert encoded["__dataclass."] == f"dataclass:{_Color.__module__}.{_Color.__qualname__}" - - decode = converter.get_arrow_to_python_converter(arrow_type) - with patch("orcapod.semantic_types.dataclass_encoding.importlib.import_module") as mock_import: - mock_mod = MagicMock() - setattr(mock_mod, "_Color", _Color) - mock_import.return_value = mock_mod - result = decode(encoded) - - assert isinstance(result, _Color) - assert result.r == 255 and result.g == 128 and result.b == 0 - - -def test_utc_nested_round_trip(): - """Nested dataclass encodes and decodes recursively.""" - @dataclasses.dataclass - class _Inner: - y: float - - @dataclasses.dataclass - class _Outer: - x: int - inner: _Inner - - converter = UniversalTypeConverter() - arrow_type = converter.python_type_to_arrow_type(_Outer) - - # Nested struct: inner field should itself be a __type-bearing struct - inner_arrow = arrow_type.field("inner").type - assert has_dataclass_type_sentinel(inner_arrow) - - obj = _Outer(x=1, inner=_Inner(y=3.14)) - encode = converter.get_python_to_arrow_converter(_Outer) - encoded = encode(obj) - - assert encoded["inner"]["__dataclass."] == f"dataclass:{_Inner.__module__}.{_Inner.__qualname__}" - assert encoded["inner"]["y"] == 3.14 - - decode = converter.get_arrow_to_python_converter(arrow_type) - - inner_fqcn = f"{_Inner.__module__}.{_Inner.__qualname__}" - outer_fqcn = f"{_Outer.__module__}.{_Outer.__qualname__}" - inner_attr = inner_fqcn.rpartition(".")[2] - outer_attr = outer_fqcn.rpartition(".")[2] - - with patch("orcapod.semantic_types.dataclass_encoding.importlib.import_module") as mock_import: - def fake_import(module_path): - mod = MagicMock() - setattr(mod, inner_attr, _Inner) - setattr(mod, outer_attr, _Outer) - return mod - mock_import.side_effect = fake_import - result = decode(encoded) - - assert isinstance(result, _Outer) - assert result.x == 1 - assert isinstance(result.inner, _Inner) - assert result.inner.y == 3.14 - - -def test_utc_clear_cache_clears_dataclass_cache(): - """clear_cache() also clears the per-instance dataclass lookup cache.""" - converter = UniversalTypeConverter() - - @dataclasses.dataclass - class _Temp: - n: int - - fqcn = f"{_Temp.__module__}.{_Temp.__qualname__}" - converter._dataclass_lookup_cache[fqcn] = _Temp - converter.clear_cache() - assert fqcn not in converter._dataclass_lookup_cache - - -def test_polymorphic_decode(): - """Two rows with different __type values each decode to their own class.""" - @dataclasses.dataclass - class _Cat: - name: str - - @dataclasses.dataclass - class _Dog: - name: str - - cat_fqcn = f"{_Cat.__module__}.{_Cat.__qualname__}" - dog_fqcn = f"{_Dog.__module__}.{_Dog.__qualname__}" - - # Both have the same Arrow schema (name: large_string) plus __dataclass. - arrow_type = pa.struct([ - pa.field("__dataclass.", pa.large_string()), - pa.field("name", pa.large_string()), - ]) - converter = UniversalTypeConverter() - decode = converter.get_arrow_to_python_converter(arrow_type) - - cat_attr = cat_fqcn.rpartition(".")[2] - dog_attr = dog_fqcn.rpartition(".")[2] - - with patch("orcapod.semantic_types.dataclass_encoding.importlib.import_module") as mock_import: - def fake_import(module_path): - mod = MagicMock() - setattr(mod, cat_attr, _Cat) - setattr(mod, dog_attr, _Dog) - return mod - mock_import.side_effect = fake_import - - row0 = decode({"__dataclass.": f"dataclass:{cat_fqcn}", "name": "Whiskers"}) - row1 = decode({"__dataclass.": f"dataclass:{dog_fqcn}", "name": "Rex"}) - - assert isinstance(row0, _Cat) and row0.name == "Whiskers" - assert isinstance(row1, _Dog) and row1.name == "Rex" - - -@pytest.mark.integration -def test_parquet_round_trip(): - """Full round-trip: python_dicts_to_arrow_table -> Parquet -> arrow_table_to_python_dicts.""" - import pyarrow.parquet as pq - - @dataclasses.dataclass - class _Record: - score: float - label: str - - converter = UniversalTypeConverter() - - python_dicts = [ - {"rec": _Record(score=0.9, label="good")}, - {"rec": _Record(score=0.1, label="bad")}, - ] - python_schema = Schema({"rec": _Record}) - table = converter.python_dicts_to_arrow_table(python_dicts, python_schema=python_schema) - - with tempfile.TemporaryDirectory() as tmpdir: - path = os.path.join(tmpdir, "test.parquet") - pq.write_table(table, path) - loaded = pq.read_table(path) - - rec_fqcn = f"{_Record.__module__}.{_Record.__qualname__}" - rec_attr = rec_fqcn.rpartition(".")[2] - - with patch("orcapod.semantic_types.dataclass_encoding.importlib.import_module") as mock_import: - mod = MagicMock() - setattr(mod, rec_attr, _Record) - mock_import.return_value = mod - results = converter.arrow_table_to_python_dicts(loaded) - - assert len(results) == 2 - assert isinstance(results[0]["rec"], _Record) - assert results[0]["rec"].score == 0.9 - assert results[0]["rec"].label == "good" - assert isinstance(results[1]["rec"], _Record) - assert results[1]["rec"].score == 0.1 - assert results[1]["rec"].label == "bad" - - -# --------------------------------------------------------------------------- -# init=False field exclusion -# --------------------------------------------------------------------------- - - -def test_struct_type_excludes_init_false_fields(): - """dataclass_to_arrow_struct_type must not include fields with init=False.""" - @dataclasses.dataclass - class _WithComputed: - value: int - cached: str = dataclasses.field(init=False, default="") - - def __post_init__(self) -> None: - self.cached = f"v={self.value}" - - converter = UniversalTypeConverter() - result = dataclass_to_arrow_struct_type(_WithComputed, converter) - - field_names = [result.field(i).name for i in range(result.num_fields)] - assert "__dataclass." in field_names - assert "value" in field_names - assert "cached" not in field_names, "init=False field must be excluded from Arrow schema" - - -def test_struct_dict_excludes_init_false_fields(): - """dataclass_to_struct_dict must not include fields with init=False.""" - @dataclasses.dataclass - class _WithComputed: - value: int - cached: str = dataclasses.field(init=False, default="") - - def __post_init__(self) -> None: - self.cached = f"v={self.value}" - - obj = _WithComputed(value=42) - result = dataclass_to_struct_dict(obj, {}) - - assert "value" in result - assert "cached" not in result, "init=False field must be excluded from encoded dict" - - -def test_utc_converter_excludes_init_false_fields(): - """UniversalTypeConverter converter closure must not include init=False fields.""" - @dataclasses.dataclass - class _WithComputed: - x: int - derived: str = dataclasses.field(init=False, default="") - - def __post_init__(self) -> None: - self.derived = str(self.x * 2) - - converter = UniversalTypeConverter() - encode = converter.get_python_to_arrow_converter(_WithComputed) - encoded = encode(_WithComputed(x=7)) - - assert "x" in encoded - assert "derived" not in encoded, "init=False field must not appear in encoded output" - - -def test_init_false_round_trip(): - """Full round-trip: init=False field is excluded from Arrow and reconstructed post-init.""" - @dataclasses.dataclass - class _Computed: - n: int - doubled: int = dataclasses.field(init=False) - - def __post_init__(self) -> None: - self.doubled = self.n * 2 - - converter = UniversalTypeConverter() - arrow_type = converter.python_type_to_arrow_type(_Computed) - - # Arrow schema must not contain 'doubled' - field_names = [arrow_type.field(i).name for i in range(arrow_type.num_fields)] - assert "doubled" not in field_names - - obj = _Computed(n=5) - encode = converter.get_python_to_arrow_converter(_Computed) - encoded = encode(obj) - assert "doubled" not in encoded - - decode = converter.get_arrow_to_python_converter(arrow_type) - fqcn = f"{_Computed.__module__}.{_Computed.__qualname__}" - attr = fqcn.rpartition(".")[2] - with patch("orcapod.semantic_types.dataclass_encoding.importlib.import_module") as m: - mod = MagicMock() - setattr(mod, attr, _Computed) - m.return_value = mod - result = decode(encoded) - - assert isinstance(result, _Computed) - assert result.n == 5 - # __post_init__ recomputes doubled - assert result.doubled == 10 - - -# --------------------------------------------------------------------------- -# Extra-field / superset-schema kwargs filtering in decoder -# --------------------------------------------------------------------------- - - -def test_decoder_extra_null_field_no_warning(caplog): - """A NULL extra field (schema evolution — column present but empty for this row) - is silently dropped without a warning.""" - @dataclasses.dataclass - class _Narrow: - name: str - - fqcn = f"{_Narrow.__module__}.{_Narrow.__qualname__}" - struct_dict = {"__dataclass.": f"dataclass:{fqcn}", "name": "Alice", "age": None} - field_converters = {"name": lambda v: v, "age": lambda v: v} - cache: dict = {} - - attr = fqcn.rpartition(".")[2] - import logging - with caplog.at_level(logging.WARNING, logger="orcapod.semantic_types.dataclass_encoding"): - with patch("orcapod.semantic_types.dataclass_encoding.importlib.import_module") as m: - mod = MagicMock() - setattr(mod, attr, _Narrow) - m.return_value = mod - result = struct_dict_to_dataclass(struct_dict, field_converters, cache) - - assert isinstance(result, _Narrow) - assert result.name == "Alice" - # No warning for a null extra field - assert not any("age" in r.message for r in caplog.records) - - -def test_decoder_extra_nonnull_field_warns(caplog): - """A non-null extra field being discarded must emit a WARNING — it signals a - schema mismatch or encoding bug, not normal schema evolution.""" - @dataclasses.dataclass - class _Narrow: - name: str - - fqcn = f"{_Narrow.__module__}.{_Narrow.__qualname__}" - # 'age' is non-null: real data being silently dropped is a bug signal - struct_dict = {"__dataclass.": f"dataclass:{fqcn}", "name": "Alice", "age": 30} - field_converters = {"name": lambda v: v, "age": lambda v: v} - cache: dict = {} - - attr = fqcn.rpartition(".")[2] - import logging - with caplog.at_level(logging.WARNING, logger="orcapod.semantic_types.dataclass_encoding"): - with patch("orcapod.semantic_types.dataclass_encoding.importlib.import_module") as m: - mod = MagicMock() - setattr(mod, attr, _Narrow) - m.return_value = mod - result = struct_dict_to_dataclass(struct_dict, field_converters, cache) - - assert isinstance(result, _Narrow) - assert result.name == "Alice" - assert not hasattr(result, "age") - # Must emit a warning mentioning the dropped field - assert any("age" in r.message and r.levelno == logging.WARNING for r in caplog.records) - - -# --------------------------------------------------------------------------- -# Tier-1 import gate (_TIER1_IMPORT_ENABLED) -# --------------------------------------------------------------------------- - - -def test_tier1_disabled_skips_to_tier2(monkeypatch): - """When _TIER1_IMPORT_ENABLED is False, tier-1 import is skipped and tier-2 is used.""" - @dataclasses.dataclass - class _GatedClass: - val: int - - fqcn = "some.module.GatedClass" - monkeypatch.setitem(_DATACLASS_REGISTRY, fqcn, _GatedClass) - monkeypatch.setattr(_dc_enc, "_TIER1_IMPORT_ENABLED", False) - - struct_dict = {"__dataclass.": f"dataclass:{fqcn}", "val": 99} - field_converters = {"val": lambda v: v} - cache: dict = {} - - with patch("orcapod.semantic_types.dataclass_encoding.importlib.import_module") as mock_import: - result = struct_dict_to_dataclass(struct_dict, field_converters, cache) - mock_import.assert_not_called() - - assert isinstance(result, _GatedClass) - assert result.val == 99 - - -def test_tier1_disabled_falls_to_tier3(monkeypatch): - """When _TIER1_IMPORT_ENABLED is False and class is unregistered, tier-3 synthesizes.""" - monkeypatch.setattr(_dc_enc, "_TIER1_IMPORT_ENABLED", False) - - fqcn = "totally.absent.UnknownClass" - struct_dict = {"__dataclass.": f"dataclass:{fqcn}", "score": 7.5} - field_converters = {"score": lambda v: v} - cache: dict = {} - - with patch("orcapod.semantic_types.dataclass_encoding.importlib.import_module") as mock_import: - result = struct_dict_to_dataclass(struct_dict, field_converters, cache) - mock_import.assert_not_called() - - assert dataclasses.is_dataclass(result) - assert result.score == 7.5 # type: ignore[attr-defined] - - -# --------------------------------------------------------------------------- -# arrow_schema_to_python_schema for dataclass structs (Item 4 fix) -# --------------------------------------------------------------------------- - - -def test_arrow_schema_to_python_schema_dataclass_returns_concrete_type(): - """arrow_schema_to_python_schema returns a concrete dataclass type for sentinel structs. - - After the fix, converting a dataclass struct Arrow type back to a Python - schema must return a proper @dataclass type rather than typing.Any, so - that python_schema_to_arrow_schema can complete the round-trip. - """ - @dataclasses.dataclass - class _Point: - x: int - y: float - - converter = UniversalTypeConverter() - arrow_type = converter.python_type_to_arrow_type(_Point) - assert has_dataclass_type_sentinel(arrow_type) - - # Build a one-field Arrow schema wrapping the struct - arrow_schema = pa.schema([pa.field("point", arrow_type, nullable=False)]) - python_schema = converter.arrow_schema_to_python_schema(arrow_schema) - - python_type = python_schema["point"] - assert dataclasses.is_dataclass(python_type), ( - f"Expected a dataclass type, got {python_type!r}" - ) - field_names = {f.name for f in dataclasses.fields(python_type)} - assert "x" in field_names - assert "y" in field_names - assert DATACLASS_TYPE_FIELD not in field_names, ( - "Sentinel field must not appear among the synthesized dataclass fields" - ) - - -def test_arrow_schema_to_python_schema_dataclass_round_trip(): - """python_schema → arrow_schema → python_schema is lossless for dataclass fields. - - After the fix, the synthesized dataclass type is itself a proper dataclass, - so python_schema_to_arrow_schema can convert it back to the original struct. - """ - @dataclasses.dataclass - class _Box: - width: int - label: str - - converter = UniversalTypeConverter() - original_arrow = converter.python_type_to_arrow_type(_Box) - - # Round-trip via python schema - schema = pa.schema([pa.field("box", original_arrow, nullable=False)]) - python_schema = converter.arrow_schema_to_python_schema(schema) - synthesized_type = python_schema["box"] - - assert dataclasses.is_dataclass(synthesized_type) - # Convert the synthesized type back to Arrow — must produce the same struct - recovered_arrow = converter.python_type_to_arrow_type(synthesized_type) - assert has_dataclass_type_sentinel(recovered_arrow) - assert recovered_arrow.field("width").type == pa.int64() - assert recovered_arrow.field("label").type == pa.large_string() - - -def test_arrow_schema_to_python_schema_dataclass_nullable_fields(): - """Nullable struct fields produce Optional[T] annotations in the synthesized dataclass. - - Regression guard for the nullability fix: when a dataclass-sentinel struct has a - nullable field, the synthesized Python dataclass must annotate it as ``Optional[T]`` - so that: - - The type correctly conveys that None is a valid value. - - Round-trips through ``python_schema_to_arrow_schema`` preserve ``nullable=True`` - (because ``Optional[T]`` triggers ``_is_optional_type``). - - Non-nullable fields must remain plain ``T`` (not Optional). - """ - converter = UniversalTypeConverter() - - # Build a raw dataclass-sentinel struct type manually with mixed nullability. - import pyarrow as _pa - struct_type = _pa.struct([ - _pa.field(DATACLASS_TYPE_FIELD, _pa.large_string()), # sentinel (excluded) - _pa.field("required_field", _pa.int64(), nullable=False), - _pa.field("optional_field", _pa.int64(), nullable=True), - ]) - assert has_dataclass_type_sentinel(struct_type) - - synthesized = converter.arrow_type_to_python_type(struct_type) - assert dataclasses.is_dataclass(synthesized) - - field_map = {f.name: f.type for f in dataclasses.fields(synthesized)} - - import types as _types - import typing as _typing - - def _is_union_with_none(t: object) -> bool: - """Return True for both T | None (types.UnionType) and Optional[T] (typing.Union).""" - return isinstance(t, _types.UnionType) or _typing.get_origin(t) is _typing.Union - - # Non-nullable field must be plain int (or equivalent), not a union-with-None. - required_type = field_map["required_field"] - assert not _is_union_with_none(required_type), ( - "required_field (nullable=False) must not be T | None" - ) - - # Nullable field must be T | None (or Optional[T]). - optional_type = field_map["optional_field"] - assert _is_union_with_none(optional_type), ( - "optional_field (nullable=True) must be T | None" - ) - non_none_args = [a for a in _typing.get_args(optional_type) if a is not type(None)] - assert len(non_none_args) == 1, "T | None must wrap exactly one non-None type" - - # Sentinel must not appear in the synthesized dataclass fields. - assert DATACLASS_TYPE_FIELD not in field_map - - -def test_two_distinct_dataclass_columns_no_collision(): - """Two dataclass columns with different schemas are synthesized as distinct types. - - Regression test for the hash-based naming fix: when an Arrow schema contains - two struct columns that both have the dataclass sentinel but different fields, - ``arrow_schema_to_python_schema`` must return two *different* Python types — - one per column — rather than returning the same cached class for both. - """ - @dataclasses.dataclass - class _Alpha: - x: int - y: float - - @dataclasses.dataclass - class _Beta: - name: str - count: int - - converter = UniversalTypeConverter() - alpha_arrow = converter.python_type_to_arrow_type(_Alpha) - beta_arrow = converter.python_type_to_arrow_type(_Beta) - - # Both columns carry the dataclass sentinel. - assert has_dataclass_type_sentinel(alpha_arrow) - assert has_dataclass_type_sentinel(beta_arrow) - - # Place both in the same Arrow schema (simulating two dataclass columns in one table). - schema = pa.schema([ - pa.field("col_a", alpha_arrow, nullable=False), - pa.field("col_b", beta_arrow, nullable=False), - ]) - python_schema = converter.arrow_schema_to_python_schema(schema) - - type_a = python_schema["col_a"] - type_b = python_schema["col_b"] - - # Both must be synthesized dataclasses … - assert dataclasses.is_dataclass(type_a), f"col_a type is not a dataclass: {type_a!r}" - assert dataclasses.is_dataclass(type_b), f"col_b type is not a dataclass: {type_b!r}" - - # … but they must be *different* types (no name collision in the lookup cache). - assert type_a is not type_b, ( - "Both dataclass columns resolved to the same synthesized class — " - "hash-based naming is required to prevent this collision." - ) - - # Verify that the field sets are correct for each synthesized type. - fields_a = {f.name for f in dataclasses.fields(type_a)} - fields_b = {f.name for f in dataclasses.fields(type_b)} - assert fields_a == {"x", "y"} - assert fields_b == {"name", "count"} - # Sentinel must not leak into either synthesized type. - assert DATACLASS_TYPE_FIELD not in fields_a - assert DATACLASS_TYPE_FIELD not in fields_b From d541404410494d7e1d406f7697786eb1db4a6a8b Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 17:27:41 +0000 Subject: [PATCH 114/206] feat(extension-types): export DataclassHandlerFactory, DataclassLogicalType, DATACLASS_CATEGORY Add public exports for the dataclass handler factory and associated types to the extension_types subpackage public API. Update module docstring to reflect the new logical_type_registry access path and describe DataclassHandlerFactory usage. Closes PLT-1705. Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/__init__.py | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index 8447405e..b63fc70b 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -4,11 +4,12 @@ between Python objects and their Arrow/Polars extension type representation. Built-in registrations (``LogicalPath``, ``LogicalUPath``, ``LogicalUUID``) are -wired into ``DataContext`` via ``contexts/data/v0.1.json``. The primary access -paths for the default registry are: +wired into ``DataContext`` via ``contexts/data/v0.1.json``. The logical type +registry is accessible via ``get_default_context().type_converter._logical_type_registry``. -- ``get_default_context().logical_type_registry`` -- ``get_default_logical_type_registry()`` (from ``orcapod.contexts``) +``DataclassHandlerFactory`` provides automatic registration for Python dataclasses: +register it with a ``LogicalTypeRegistry`` and any dataclass used in a ``FunctionPod`` +will be auto-registered on pod declaration. """ from __future__ import annotations @@ -17,6 +18,7 @@ from .registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema from .database_hooks import apply_extension_types, register_discovered_extensions +from .dataclass_handler import DATACLASS_CATEGORY, DataclassLogicalType, DataclassHandlerFactory __all__ = [ "LogicalTypeProtocol", @@ -31,4 +33,8 @@ # PLT-1655 "register_discovered_extensions", "apply_extension_types", + # PLT-1705 + "DATACLASS_CATEGORY", + "DataclassLogicalType", + "DataclassHandlerFactory", ] From ffd692468697e5f1a591d66292e0695a2936f8c5 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 17:41:56 +0000 Subject: [PATCH 115/206] docs(plans): add PLT-1705 type registration spine refactor implementation plan Co-Authored-By: Claude Sonnet 4.6 --- ...t-1705-type-registration-spine-refactor.md | 2897 +++++++++++++++++ 1 file changed, 2897 insertions(+) create mode 100644 superpowers/plans/2026-06-16-plt-1705-type-registration-spine-refactor.md diff --git a/superpowers/plans/2026-06-16-plt-1705-type-registration-spine-refactor.md b/superpowers/plans/2026-06-16-plt-1705-type-registration-spine-refactor.md new file mode 100644 index 00000000..1505b8ba --- /dev/null +++ b/superpowers/plans/2026-06-16-plt-1705-type-registration-spine-refactor.md @@ -0,0 +1,2897 @@ +# PLT-1705 Type Registration Spine Refactor Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use sensei:subagent-driven-development (recommended) or sensei:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Make `UniversalTypeConverter` the single re-entry point for Python ↔ Arrow type registration, move `LogicalTypeRegistry` inside the converter as a private implementation detail, and implement `DataclassHandlerFactory` on the refined architecture. + +**Architecture:** `register_python_class(annotation)` handles write-side recursive traversal; `register_storage_type(arrow_type)` handles read-side bottom-up traversal. Factories and logical types receive `converter` instead of `registry`, so all delegation flows through the converter. `DataContext.logical_type_registry` is removed entirely. + +**Tech Stack:** Python 3.12, PyArrow, Polars, `dataclasses`, `typing.get_type_hints` + +--- + +## File Map + +| File | Action | What changes | +|---|---|---| +| `src/orcapod/extension_types/protocols.py` | Modify | Add `TypeConverterProtocol`; add `supports_class` + `converter` param to factory protocol; add `converter` param to logical type protocol | +| `src/orcapod/extension_types/builtin_logical_types.py` | Modify | Add `converter` param (accept, ignore) to `python_to_storage` / `storage_to_python` | +| `src/orcapod/semantic_types/universal_converter.py` | Modify | Add `register_python_class`, `register_storage_type`, `python_to_storage`, `storage_to_python`, `register_logical_type`, `register_logical_type_factory`; update `_create_python_to_arrow_converter`/`_create_arrow_to_python_converter` to pass `converter=self`; simplify `ensure_types_registered_for_schemas`; remove `semantic_registry` usage; remove `dataclass_encoding` imports | +| `src/orcapod/extension_types/registry.py` | Modify | Remove `ensure_logical_type_for_python_class`, `ensure_extension_type` | +| `src/orcapod/extension_types/dataclass_handler.py` | **Create** | `DataclassLogicalType` + `DataclassHandlerFactory` | +| `src/orcapod/semantic_types/dataclass_encoding.py` | **Delete** | Superseded by `DataclassHandlerFactory` | +| `src/orcapod/extension_types/type_utils.py` | Modify | Rename `extract_leaf_classes` → `_extract_leaf_classes` (private) | +| `src/orcapod/extension_types/database_hooks.py` | Modify | `register_discovered_extensions` takes `converter` instead of `registry`; uses schema_walker + `converter._ensure_extension_type_info` | +| `src/orcapod/databases/extension_aware_database.py` | Modify | Takes `converter` instead of `registry`; passes `converter._registry` to `apply_extension_types` | +| `src/orcapod/contexts/core.py` | Modify | Remove `logical_type_registry` field from `DataContext` | +| `src/orcapod/contexts/__init__.py` | Modify | Remove `get_default_logical_type_registry` | +| `src/orcapod/contexts/registry.py` | Modify | Remove `"logical_type_registry"` from `required_fields`; stop passing it to `DataContext` | +| `src/orcapod/contexts/data/v0.1.json` | Modify | Remove top-level `logical_type_registry`; move registry construction inside `type_converter._config`; remove `semantic_registry` ref from `type_converter._config` | +| `src/orcapod/contexts/data/schemas/context_schema.json` | Modify | Remove `logical_type_registry` from `required` and `properties` | +| `src/orcapod/extension_types/__init__.py` | Modify | Update docstring | +| `tests/test_extension_types/test_protocols.py` | Modify | Update stubs for new signatures; add `TypeConverterProtocol` conformance test | +| `tests/test_extension_types/test_registry.py` | Modify | Remove `ensure_*` tests; add converter pass-through tests | +| `tests/test_extension_types/test_builtin_logical_types.py` | Modify | Pass a stub converter to `python_to_storage` / `storage_to_python` calls | +| `tests/test_extension_types/test_dataclass_handler.py` | **Create** | Full unit tests for `DataclassLogicalType` and `DataclassHandlerFactory` | +| `tests/test_semantic_types/test_universal_converter.py` | Modify | Add `register_python_class` and `register_storage_type` tests | +| `tests/test_extension_types/test_database_hooks.py` | Modify | Switch from registry to converter | +| `tests/test_core/function_pod/test_write_side_registration.py` | Modify | Update `DataContext` construction (no `logical_type_registry`) | + +--- + +## Task 1: Update `TypeConverterProtocol` and factory/logical-type protocols + +**Files:** +- Modify: `src/orcapod/extension_types/protocols.py` +- Modify: `tests/test_extension_types/test_protocols.py` + +- [ ] **Step 1: Write failing protocol conformance tests** + +Add to `tests/test_extension_types/test_protocols.py`: + +```python +# Add at the top of the file: +# from orcapod.extension_types.protocols import TypeConverterProtocol + +def test_type_converter_protocol_is_importable(): + from orcapod.extension_types.protocols import TypeConverterProtocol + assert TypeConverterProtocol is not None + + +def test_factory_supports_class_method_required(): + """LogicalTypeFactoryProtocol requires supports_class.""" + from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol + + class _BadFactory: + def reconstruct_from_arrow(self, name, storage_type, metadata, converter): + pass + def create_for_python_type(self, python_type, converter): + pass + # Missing supports_class + + assert not isinstance(_BadFactory(), LogicalTypeFactoryProtocol) + + +def test_factory_with_supports_class_satisfies_protocol(): + from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol + + class _GoodFactory: + def supports_class(self, python_type): + return True + def reconstruct_from_arrow(self, name, storage_type, metadata, converter): + pass + def create_for_python_type(self, python_type, converter): + pass + + assert isinstance(_GoodFactory(), LogicalTypeFactoryProtocol) + + +def test_logical_type_python_to_storage_accepts_converter(): + """LogicalTypeProtocol.python_to_storage now requires converter param.""" + from orcapod.extension_types.protocols import LogicalTypeProtocol + + class _GoodLT: + @property + def logical_type_name(self): return "test.lt" + @property + def python_type(self): return str + def get_arrow_extension_type(self): pass + def get_polars_extension_type(self): pass + def python_to_storage(self, value, converter): return value + def storage_to_python(self, storage_value, converter): return storage_value + + assert isinstance(_GoodLT(), LogicalTypeProtocol) +``` + +- [ ] **Step 2: Run tests to confirm failures** + +```bash +uv run pytest tests/test_extension_types/test_protocols.py -v -k "type_converter or supports_class or accepts_converter" 2>&1 | tail -30 +``` +Expected: ImportError or AttributeError failures. + +- [ ] **Step 3: Update `protocols.py`** + +Replace the entire file: + +```python +"""Protocol definitions for the Arrow/Polars extension type system. + +This module defines ``TypeConverterProtocol``, ``LogicalTypeProtocol``, and +``LogicalTypeFactoryProtocol`` — the contracts for the converter, for logical +type implementations that bind a Python class to its Arrow and Polars extension +type representation, and for factories that auto-construct such implementations +from Arrow schema metadata. +""" + +from __future__ import annotations + +from typing import TYPE_CHECKING, Any, Protocol, runtime_checkable + +if TYPE_CHECKING: + import polars as pl + import pyarrow as pa + + +@runtime_checkable +class TypeConverterProtocol(Protocol): + """Minimal protocol exposing what factories and logical types need from the converter. + + Placed in ``extension_types/protocols.py`` to avoid circular imports. + ``UniversalTypeConverter`` is the canonical implementation. + """ + + def register_python_class(self, annotation: Any) -> "pa.DataType": + """Traverse a Python annotation and return its Arrow type, registering as needed.""" + ... + + def register_storage_type(self, arrow_type: "pa.DataType") -> "pa.DataType": + """Traverse an Arrow type bottom-up, registering extension types, and return resolved type.""" + ... + + def python_to_storage(self, value: Any, annotation: Any) -> Any: + """Convert a Python value to its Arrow storage representation.""" + ... + + def storage_to_python(self, storage_value: Any, annotation: Any) -> Any: + """Convert an Arrow storage value back to a Python object.""" + ... + + +@runtime_checkable +class LogicalTypeProtocol(Protocol): + """Protocol for Arrow/Polars extension-type-backed logical types. + + A ``LogicalTypeProtocol`` is a three-way binding between a unique logical type name + (orcapod's identifier), a Python class, and Arrow/Polars extension types. + Each implementation *owns* its Arrow and Polars extension types by providing + them directly via ``get_arrow_extension_type`` and ``get_polars_extension_type``. + + This protocol is Arrow I/O only — hashing is not a logical type responsibility. + """ + + @property + def logical_type_name(self) -> str: + """Unique orcapod identifier for this logical type (e.g. ``"orcapod.uuid"``).""" + ... + + @property + def python_type(self) -> type: + """The Python class this logical type represents.""" + ... + + def get_arrow_extension_type(self) -> "pa.ExtensionType": + """Return the Arrow extension type for this logical type.""" + ... + + def get_polars_extension_type(self) -> "pl.BaseExtension": + """Return an instance of the Polars extension type for this logical type.""" + ... + + def python_to_storage(self, value: Any, converter: TypeConverterProtocol) -> Any: + """Convert a Python value to its Arrow storage representation. + + Args: + value: A Python object of type ``python_type``. + converter: The active ``TypeConverterProtocol`` for recursive delegation. + + Returns: + A value suitable for Arrow storage. + """ + ... + + def storage_to_python(self, storage_value: Any, converter: TypeConverterProtocol) -> Any: + """Convert an Arrow storage value back to a Python object. + + Args: + storage_value: A scalar or array element from the Arrow storage array. + converter: The active ``TypeConverterProtocol`` for recursive delegation. + + Returns: + A Python object of type ``python_type``. + """ + ... + + +@runtime_checkable +class LogicalTypeFactoryProtocol(Protocol): + """Protocol for factories that synthesize or reconstruct ``LogicalTypeProtocol`` instances. + + Bridges two directions: the write path (``create_for_python_type``) and the read + path (``reconstruct_from_arrow``). Both methods receive ``converter`` instead of + ``registry`` so all traversal flows through the converter. + """ + + def supports_class(self, python_type: type) -> bool: + """Return True if this factory can synthesize a LogicalType for ``python_type``. + + Used as a probe during write-side MRO dispatch in ``register_python_class``. + + Args: + python_type: The Python class to probe. + + Returns: + True if this factory handles ``python_type``. + """ + ... + + def create_for_python_type( + self, + python_type: type, + converter: TypeConverterProtocol, + ) -> LogicalTypeProtocol: + """Synthesize a LogicalType for the given Python class (write path). + + Args: + python_type: The concrete Python class to synthesize a LogicalType for. + converter: The active converter for recursive field-type resolution. + + Returns: + A fully constructed ``LogicalTypeProtocol`` ready for registration. + + Raises: + ValueError: If this factory cannot construct a type for the given class. + """ + ... + + def reconstruct_from_arrow( + self, + arrow_extension_name: str, + storage_type: "pa.DataType", + metadata: dict[str, Any], + converter: TypeConverterProtocol, + ) -> LogicalTypeProtocol: + """Reconstruct a LogicalType from Arrow schema metadata (read path). + + Args: + arrow_extension_name: The Arrow extension type name from the schema. + storage_type: The underlying Arrow storage type (already resolved bottom-up). + metadata: Full parsed metadata JSON dict. Always contains ``"category"``. + converter: The active converter for recursive field-type resolution. + + Returns: + A fully constructed ``LogicalTypeProtocol`` ready for registration. + + Raises: + ValueError: If this factory cannot reconstruct a type for the given name. + """ + ... +``` + +- [ ] **Step 4: Run tests to confirm they pass** + +```bash +uv run pytest tests/test_extension_types/test_protocols.py -v 2>&1 | tail -30 +``` +Expected: All tests pass (some existing tests about the OLD signatures will now fail — that's expected and will be fixed in Task 2). + +- [ ] **Step 5: Update existing stubs in `test_protocols.py` to use new signatures** + +Replace `_StubLogicalType` and `_StubFactory` in `tests/test_extension_types/test_protocols.py`: + +```python +class _StubLogicalType: + """Minimal conforming implementation of LogicalTypeProtocol for use in tests.""" + + _ArrowExtClass = make_arrow_extension_type("test.module.MyType", pa.large_string()) + + @property + def logical_type_name(self) -> str: + return "test.module.MyType" + + @property + def python_type(self) -> type: + return str + + def get_arrow_extension_type(self) -> pa.ExtensionType: + return self._ArrowExtClass() + + def get_polars_extension_type(self) -> pl.BaseExtension: + class _PolarsExt(pl.BaseExtension): + def __init__(self): + super().__init__("test.module.MyType", pl.String, None) + @classmethod + def ext_from_params(cls, ext_name, storage_dtype, metadata_str): + return cls() + return _PolarsExt() + + def python_to_storage(self, value, converter): # converter param added + return str(value) + + def storage_to_python(self, storage_value, converter): # converter param added + return storage_value + + +class _StubFactory: + """Minimal conforming implementation of LogicalTypeFactoryProtocol for use in tests.""" + + def supports_class(self, python_type): # new method + return True + + def reconstruct_from_arrow(self, arrow_extension_name, storage_type, metadata, converter): + return _StubLogicalType() + + def create_for_python_type(self, python_type, converter): + return _StubLogicalType() +``` + +Also update the test that calls the old signatures: +```python +def test_conforming_class_satisfies_protocol(): + lt: LogicalTypeProtocol = _StubLogicalType() + assert lt.logical_type_name == "test.module.MyType" + assert lt.python_type is str + assert lt.get_arrow_extension_type().extension_name == "test.module.MyType" + assert isinstance(lt.get_polars_extension_type(), pl.BaseExtension) + assert lt.python_to_storage(42, None) == "42" # pass converter=None + assert lt.storage_to_python("hello", None) == "hello" # pass converter=None + + +def test_logical_type_factory_create_returns_logical_type(): + from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol, LogicalTypeProtocol + factory: LogicalTypeFactoryProtocol = _StubFactory() + result = factory.reconstruct_from_arrow( + "test.ext", pa.large_utf8(), {"category": "Test"}, converter=None + ) + assert isinstance(result, LogicalTypeProtocol) + + +def test_factory_create_for_python_type_conformance(): + from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol, LogicalTypeProtocol + factory: LogicalTypeFactoryProtocol = _StubFactory() + assert isinstance(factory, LogicalTypeFactoryProtocol) + result = factory.create_for_python_type(str, converter=None) + assert isinstance(result, LogicalTypeProtocol) +``` + +- [ ] **Step 6: Run all protocol tests** + +```bash +uv run pytest tests/test_extension_types/test_protocols.py -v 2>&1 | tail -20 +``` +Expected: All pass. + +- [ ] **Step 7: Commit** + +```bash +git add src/orcapod/extension_types/protocols.py tests/test_extension_types/test_protocols.py +git commit -m "feat(extension_types): add TypeConverterProtocol; update factory/logical-type protocols with converter param and supports_class" +``` + +--- + +## Task 2: Update built-in logical types for protocol conformance + +**Files:** +- Modify: `src/orcapod/extension_types/builtin_logical_types.py` +- Modify: `tests/test_extension_types/test_builtin_logical_types.py` + +- [ ] **Step 1: Write failing tests** + +Add to `tests/test_extension_types/test_builtin_logical_types.py`: + +```python +def test_logical_path_python_to_storage_accepts_converter(): + """python_to_storage now accepts a converter param (ignored).""" + from orcapod.extension_types.builtin_logical_types import LogicalPath + lt = LogicalPath() + import pathlib + result = lt.python_to_storage(pathlib.Path("/tmp/foo"), converter=None) + assert result == "/tmp/foo" + + +def test_logical_uuid_python_to_storage_accepts_converter(): + from orcapod.extension_types.builtin_logical_types import LogicalUUID + import uuid as uuid_module + lt = LogicalUUID() + u = uuid_module.UUID("12345678-1234-5678-1234-567812345678") + result = lt.python_to_storage(u, converter=None) + assert result == u.bytes + + +def test_logical_upath_storage_to_python_accepts_converter(): + from orcapod.extension_types.builtin_logical_types import LogicalUPath + lt = LogicalUPath() + from upath import UPath + result = lt.storage_to_python("s3://bucket/key", converter=None) + assert isinstance(result, UPath) +``` + +- [ ] **Step 2: Run to confirm failures** + +```bash +uv run pytest tests/test_extension_types/test_builtin_logical_types.py -v -k "accepts_converter" 2>&1 | tail -20 +``` +Expected: TypeError — unexpected keyword argument. + +- [ ] **Step 3: Update all three classes in `builtin_logical_types.py`** + +For `LogicalPath`: +```python +def python_to_storage(self, value: Any, converter: Any = None) -> str: + return str(value) + +def storage_to_python(self, storage_value: Any, converter: Any = None) -> pathlib.Path: + return pathlib.Path(storage_value) +``` + +For `LogicalUPath`: +```python +def python_to_storage(self, value: Any, converter: Any = None) -> str: + return str(value) + +def storage_to_python(self, storage_value: Any, converter: Any = None) -> UPath: + return UPath(storage_value) +``` + +For `LogicalUUID`: +```python +def python_to_storage(self, value: Any, converter: Any = None) -> bytes: + return value.bytes + +def storage_to_python(self, storage_value: Any, converter: Any = None) -> _uuid_module.UUID: + return _uuid_module.UUID(bytes=bytes(storage_value)) +``` + +Also add `TYPE_CHECKING` import for `TypeConverterProtocol` in the type hint: +```python +from typing import TYPE_CHECKING, Any + +if TYPE_CHECKING: + from orcapod.extension_types.protocols import TypeConverterProtocol +``` + +And use in signatures: +```python +def python_to_storage(self, value: Any, converter: "TypeConverterProtocol | None" = None) -> str: +``` + +- [ ] **Step 4: Run new tests** + +```bash +uv run pytest tests/test_extension_types/test_builtin_logical_types.py -v 2>&1 | tail -20 +``` +Expected: All pass. + +- [ ] **Step 5: Also update test call sites that call without converter** + +Search for existing direct calls to `python_to_storage` / `storage_to_python` in the test file (they have no `converter` arg — that's fine since we added `converter=None` default). + +```bash +uv run pytest tests/test_extension_types/test_builtin_logical_types.py -v 2>&1 | tail -5 +``` +Expected: All pass (defaults handle existing calls). + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/extension_types/builtin_logical_types.py tests/test_extension_types/test_builtin_logical_types.py +git commit -m "feat(extension_types): add converter param to built-in logical type python_to_storage/storage_to_python" +``` + +--- + +## Task 3: Add `register_python_class` to `UniversalTypeConverter` + +**Files:** +- Modify: `src/orcapod/semantic_types/universal_converter.py` +- Modify: `tests/test_semantic_types/test_universal_converter.py` + +- [ ] **Step 1: Write failing tests** + +Add to `tests/test_semantic_types/test_universal_converter.py`: + +```python +import dataclasses +import uuid as _uuid_module +import pathlib +from typing import Optional + +import pyarrow as pa +import pytest + +from orcapod.extension_types.registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type +from orcapod.semantic_types.universal_converter import UniversalTypeConverter + + +# ── Helpers ───────────────────────────────────────────────────────────────── + +def _make_registry_with_builtins() -> LogicalTypeRegistry: + """Registry with LogicalPath, LogicalUUID, LogicalUPath pre-registered.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath, LogicalUUID, LogicalUPath + return LogicalTypeRegistry(logical_types=[LogicalPath(), LogicalUUID(), LogicalUPath()]) + + +def _make_converter(registry: LogicalTypeRegistry | None = None) -> UniversalTypeConverter: + if registry is None: + registry = _make_registry_with_builtins() + return UniversalTypeConverter(logical_type_registry=registry) + + +# ── register_python_class tests ────────────────────────────────────────────── + +def test_register_python_class_primitive_int(): + converter = _make_converter() + assert converter.register_python_class(int) == pa.int64() + + +def test_register_python_class_primitive_str(): + converter = _make_converter() + assert converter.register_python_class(str) == pa.large_string() + + +def test_register_python_class_list_of_int(): + converter = _make_converter() + result = converter.register_python_class(list[int]) + assert result == pa.large_list(pa.int64()) + + +def test_register_python_class_optional_str(): + converter = _make_converter() + result = converter.register_python_class(Optional[str]) + assert result == pa.large_string() + + +def test_register_python_class_dict_str_int(): + converter = _make_converter() + result = converter.register_python_class(dict[str, int]) + expected = pa.large_list(pa.struct([pa.field("key", pa.large_string()), pa.field("value", pa.int64())])) + assert result == expected + + +def test_register_python_class_set_of_str(): + converter = _make_converter() + result = converter.register_python_class(set[str]) + assert result == pa.large_list(pa.large_string()) + + +def test_register_python_class_registry_hit_path(): + """pathlib.Path is pre-registered → returns the orcapod.path extension type.""" + converter = _make_converter() + result = converter.register_python_class(pathlib.Path) + assert isinstance(result, pa.ExtensionType) + assert result.extension_name == "orcapod.path" + + +def test_register_python_class_uuid_registry_hit(): + converter = _make_converter() + result = converter.register_python_class(_uuid_module.UUID) + assert isinstance(result, pa.ExtensionType) + assert result.extension_name == "orcapod.uuid" + + +def test_register_python_class_factory_dispatch(): + """A custom class triggers factory synthesis and caches the result.""" + import uuid as _u + import polars as pl + + class _Base: + pass + + class _Child(_Base): + pass + + ext_name = f"test.custom.{_u.uuid4().hex[:8]}" + ArrowExt = make_arrow_extension_type(ext_name, pa.large_string()) + PolarsExt = make_polars_extension_type(ext_name, pa.large_string()) + synthesized_calls = [] + + class _Factory: + def supports_class(self, python_type): + return issubclass(python_type, _Base) + def create_for_python_type(self, python_type, converter): + synthesized_calls.append(python_type) + class _LT: + logical_type_name = ext_name + python_type_ = _Child + python_type = _Child + def get_arrow_extension_type(self): return ArrowExt() + def get_polars_extension_type(self): return PolarsExt() + def python_to_storage(self, v, c=None): return str(v) + def storage_to_python(self, v, c=None): return v + return _LT() + def reconstruct_from_arrow(self, name, storage, meta, converter): pass + + registry = _make_registry_with_builtins() + registry.register_logical_type_factory(_Factory(), python_bases=[_Base]) + converter = _make_converter(registry) + + result = converter.register_python_class(_Child) + assert isinstance(result, pa.ExtensionType) + assert result.extension_name == ext_name + assert _Child in synthesized_calls + + # Second call is a registry hit — factory NOT called again + result2 = converter.register_python_class(_Child) + assert result2 == result + assert len(synthesized_calls) == 1 + + +def test_register_python_class_cycle_detection(): + """Cyclic type synthesis raises TypeError.""" + import uuid as _u + import polars as pl + + class _CycleClass: + pass + + class _CycleFactory: + def supports_class(self, python_type): + return python_type is _CycleClass + def create_for_python_type(self, python_type, converter): + # Intentionally trigger a cycle + converter.register_python_class(_CycleClass) + def reconstruct_from_arrow(self, name, storage, meta, converter): pass + + registry = _make_registry_with_builtins() + registry.register_logical_type_factory(_CycleFactory(), python_bases=[_CycleClass]) + converter = _make_converter(registry) + + with pytest.raises(TypeError, match="[Cc]ircular"): + converter.register_python_class(_CycleClass) +``` + +- [ ] **Step 2: Run to confirm failures** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py -v -k "register_python_class" 2>&1 | tail -30 +``` +Expected: AttributeError — `UniversalTypeConverter` has no attribute `register_python_class`. + +- [ ] **Step 3: Implement `register_python_class` in `UniversalTypeConverter`** + +Add these methods to `UniversalTypeConverter` (after `__init__`): + +```python +def register_python_class(self, annotation: Any) -> "pa.DataType": + """Register a Python type annotation and return its Arrow type. + + Traverses generic annotations recursively. For each concrete class found, + either returns from the primitive map or registry (cache hit), or + synthesises via factory and registers the result. + + Args: + annotation: A Python type or generic alias (e.g. ``list[str]``, + ``Optional[uuid.UUID]``, a dataclass type). + + Returns: + The Arrow ``pa.DataType`` corresponding to ``annotation``. + + Raises: + TypeError: If a concrete class has no registered ``LogicalType`` and + no factory covers it, or if a circular dependency is detected. + ValueError: If a complex (non-Optional) union is encountered. + """ + import types as _types_mod + + type_map = _get_python_to_arrow_map() + + # Primitive map hit + if annotation in type_map: + return type_map[annotation] + + origin = get_origin(annotation) + args = get_args(annotation) + + # Optional[T] / T | None → strip None arm + if origin is typing.Union or origin is _types_mod.UnionType: + non_none = [a for a in args if a is not type(None)] + if len(non_none) == 1: + return self.register_python_class(non_none[0]) + raise ValueError( + f"Complex unions with multiple non-None types are not supported: " + f"{annotation!r}. Only Optional[T] (T | None) is allowed." + ) + + # list[T] → pa.large_list(T) + if origin is list: + return pa.large_list(self.register_python_class(args[0])) + + # set[T] → pa.large_list(T) + if origin is set: + return pa.large_list(self.register_python_class(args[0])) + + # dict[K, V] → pa.large_list(struct{key: K, value: V}) + if origin is dict: + key_arrow = self.register_python_class(args[0]) + val_arrow = self.register_python_class(args[1]) + return pa.large_list( + pa.struct([pa.field("key", key_arrow), pa.field("value", val_arrow)]) + ) + + # Concrete class — registry or factory dispatch + if isinstance(annotation, type): + if self._logical_type_registry is None: + raise TypeError( + f"No LogicalTypeRegistry configured — cannot register {annotation!r}. " + f"Provide logical_type_registry at converter construction time." + ) + + # Registry hit (already synthesised) + lt = self._logical_type_registry.get_by_python_type(annotation) + if lt is not None: + return lt.get_arrow_extension_type() + + # Cycle detection + if annotation in self._in_progress: + raise TypeError( + f"Circular type dependency detected while synthesising " + f"LogicalType for {annotation!r}." + ) + + # Factory dispatch via MRO walk + factory = self._find_factory_for_class(annotation) + if factory is None: + raise TypeError( + f"No LogicalType or LogicalTypeFactory registered for {annotation!r}. " + f"Register a factory: converter.register_logical_type_factory(factory, " + f"python_bases=[])" + ) + + self._in_progress.add(annotation) + try: + lt = factory.create_for_python_type(annotation, converter=self) + self._logical_type_registry.register_logical_type(lt) + finally: + self._in_progress.discard(annotation) + + return lt.get_arrow_extension_type() + + raise ValueError(f"Unsupported annotation: {annotation!r}") + +def _find_factory_for_class( + self, + python_type: type, +) -> "LogicalTypeFactoryProtocol | None": + """Find the most-specific registered factory for ``python_type``. + + Walks ``python_type.__mro__`` and returns the first factory in + ``_python_class_factories`` whose ``supports_class(python_type)`` returns True. + Falls back to an ``issubclass`` scan for ABC-registered factories. + + Args: + python_type: Concrete Python class to find a factory for. + + Returns: + The matching ``LogicalTypeFactoryProtocol``, or ``None`` if none found. + """ + factories = self._logical_type_registry._python_class_factories + + # MRO walk — most-specific base first + for base in python_type.__mro__: + factory = factories.get(base) + if factory is not None: + if hasattr(factory, "supports_class") and factory.supports_class(python_type): + return factory + elif not hasattr(factory, "supports_class"): + # Factories without supports_class are treated as unconditional matches + return factory + + # issubclass fallback for ABC-registered factories + for base, factory in factories.items(): + try: + if issubclass(python_type, base): + if hasattr(factory, "supports_class"): + if factory.supports_class(python_type): + return factory + else: + return factory + except TypeError: + continue + + return None +``` + +Also add `_in_progress: set[type] = set()` to `__init__`: + +```python +# In __init__, after the existing cache initializations: +self._in_progress: set[type] = set() +``` + +And add `TYPE_CHECKING` import for `LogicalTypeFactoryProtocol`: +```python +if TYPE_CHECKING: + import pyarrow as pa + from orcapod.extension_types.registry import LogicalTypeRegistry + from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol +``` + +- [ ] **Step 4: Run tests** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py -v -k "register_python_class" 2>&1 | tail -30 +``` +Expected: All `register_python_class` tests pass. + +- [ ] **Step 5: Run full test suite for this module** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py -v 2>&1 | tail -20 +``` +Expected: Existing tests still pass. + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/semantic_types/universal_converter.py tests/test_semantic_types/test_universal_converter.py +git commit -m "feat(universal_converter): add register_python_class with recursive traversal, factory dispatch, and cycle detection" +``` + +--- + +## Task 4: Add `register_storage_type` to `UniversalTypeConverter` + +**Files:** +- Modify: `src/orcapod/semantic_types/universal_converter.py` +- Modify: `tests/test_semantic_types/test_universal_converter.py` + +- [ ] **Step 1: Write failing tests** + +Add to `tests/test_semantic_types/test_universal_converter.py`: + +```python +# ── register_storage_type tests ────────────────────────────────────────────── + +def test_register_storage_type_primitive_int(): + converter = _make_converter() + assert converter.register_storage_type(pa.int64()) == pa.int64() + + +def test_register_storage_type_primitive_large_string(): + converter = _make_converter() + assert converter.register_storage_type(pa.large_string()) == pa.large_string() + + +def test_register_storage_type_extension_type_registry_hit(): + """An already-registered extension type is returned unchanged (no-op).""" + converter = _make_converter() + # orcapod.uuid is pre-registered in the builtin registry + from orcapod.extension_types.builtin_logical_types import LogicalUUID + uuid_ext = LogicalUUID().get_arrow_extension_type() + result = converter.register_storage_type(uuid_ext) + assert isinstance(result, pa.ExtensionType) + assert result.extension_name == "orcapod.uuid" + + +def test_register_storage_type_struct_recurses(): + """Structs are traversed field by field; resolved field types are returned.""" + converter = _make_converter() + struct_type = pa.struct([pa.field("name", pa.large_string()), pa.field("count", pa.int64())]) + result = converter.register_storage_type(struct_type) + assert pa.types.is_struct(result) + assert result.field("name").type == pa.large_string() + assert result.field("count").type == pa.int64() + + +def test_register_storage_type_large_list_recurses(): + converter = _make_converter() + list_type = pa.large_list(pa.int32()) + result = converter.register_storage_type(list_type) + assert pa.types.is_large_list(result) + assert result.value_type == pa.int32() + + +def test_register_storage_type_extension_miss_dispatches_to_factory(): + """An unregistered extension type triggers factory.reconstruct_from_arrow.""" + import json + import uuid as _u + import polars as pl + + ext_name = f"test.reconstruct.{_u.uuid4().hex[:8]}" + category = "test.reconstruct" + metadata = json.dumps({"category": category}).encode() + ArrowExt = make_arrow_extension_type(ext_name, pa.large_string(), metadata=metadata) + PolarsExt = make_polars_extension_type(ext_name, pa.large_string()) + + class _LT: + logical_type_name = ext_name + python_type = str + def get_arrow_extension_type(self): return ArrowExt() + def get_polars_extension_type(self): return PolarsExt() + def python_to_storage(self, v, c=None): return str(v) + def storage_to_python(self, v, c=None): return v + + class _Factory: + def supports_class(self, t): return False + def create_for_python_type(self, t, converter): pass + def reconstruct_from_arrow(self, name, storage_type, meta, converter): + return _LT() + + registry = _make_registry_with_builtins() + registry.register_logical_type_factory(_Factory(), category=category) + converter = _make_converter(registry) + + ext_instance = ArrowExt() + result = converter.register_storage_type(ext_instance) + assert isinstance(result, pa.ExtensionType) + assert result.extension_name == ext_name + + # Second call: registry hit → same result, factory NOT called again + result2 = converter.register_storage_type(ext_instance) + assert result2.extension_name == ext_name + + +def test_register_storage_type_nested_struct_with_extension(): + """Extension type nested inside a struct field is resolved bottom-up.""" + import json + import uuid as _u + import polars as pl + + ext_name = f"test.nested.{_u.uuid4().hex[:8]}" + category = "test.nested" + metadata = json.dumps({"category": category}).encode() + ArrowExt = make_arrow_extension_type(ext_name, pa.large_string(), metadata=metadata) + PolarsExt = make_polars_extension_type(ext_name, pa.large_string()) + + class _LT: + logical_type_name = ext_name + python_type = str + def get_arrow_extension_type(self): return ArrowExt() + def get_polars_extension_type(self): return PolarsExt() + def python_to_storage(self, v, c=None): return str(v) + def storage_to_python(self, v, c=None): return v + + class _Factory: + def supports_class(self, t): return False + def create_for_python_type(self, t, converter): pass + def reconstruct_from_arrow(self, name, storage_type, meta, converter): + return _LT() + + registry = _make_registry_with_builtins() + registry.register_logical_type_factory(_Factory(), category=category) + converter = _make_converter(registry) + + ext_instance = ArrowExt() + struct_with_ext = pa.struct([pa.field("id", pa.int64()), pa.field("tag", ext_instance)]) + result = converter.register_storage_type(struct_with_ext) + + assert pa.types.is_struct(result) + assert result.field("id").type == pa.int64() + assert isinstance(result.field("tag").type, pa.ExtensionType) + assert result.field("tag").type.extension_name == ext_name +``` + +- [ ] **Step 2: Run to confirm failures** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py -v -k "register_storage_type" 2>&1 | tail -30 +``` +Expected: AttributeError — `register_storage_type` not defined. + +- [ ] **Step 3: Implement `register_storage_type` and `_ensure_extension_type_info` in `UniversalTypeConverter`** + +```python +def register_storage_type(self, arrow_type: "pa.DataType") -> "pa.DataType": + """Register extension types found in ``arrow_type`` and return the resolved type. + + Traverses Arrow types recursively in a bottom-up manner: + - Primitives are returned unchanged. + - ``pa.ExtensionType`` instances that are already registered are returned as-is. + - Unregistered extension types: the storage type is resolved first (bottom-up), + then the factory dispatches on the ``"category"`` metadata key. + - Structs: each field's type is resolved; a new struct with resolved fields is returned. + - Lists: the value type is resolved; a new list type with the resolved value is returned. + + Args: + arrow_type: An Arrow type to traverse and register. + + Returns: + The resolved Arrow type with extension types embedded. + """ + # Extension type + if isinstance(arrow_type, pa.ExtensionType): + ext_name = arrow_type.extension_name + if self._logical_type_registry is not None: + lt = self._logical_type_registry.get_by_arrow_extension_name(ext_name) + if lt is not None: + return lt.get_arrow_extension_type() + # Registry miss — extract info and register + raw_meta = arrow_type.__arrow_ext_serialize__() + ext_meta = raw_meta if raw_meta else None + resolved_storage = self.register_storage_type(arrow_type.storage_type) + return self._ensure_extension_type_info(ext_name, ext_meta, resolved_storage) + + # Struct type — recurse into each field + if pa.types.is_struct(arrow_type): + resolved_fields = [] + for i in range(arrow_type.num_fields): + field = arrow_type.field(i) + resolved_type = self.register_storage_type(field.type) + resolved_fields.append(pa.field(field.name, resolved_type, nullable=field.nullable)) + return pa.struct(resolved_fields) + + # Large list type + if pa.types.is_large_list(arrow_type): + resolved_value = self.register_storage_type(arrow_type.value_type) + return pa.large_list(resolved_value) + + # List type + if pa.types.is_list(arrow_type): + resolved_value = self.register_storage_type(arrow_type.value_type) + return pa.list_(resolved_value) + + # All other types (primitives, timestamps, binary, etc.) — return as-is + return arrow_type + +def _ensure_extension_type_info( + self, + arrow_extension_name: str, + extension_metadata: bytes | None, + storage_type: "pa.DataType", +) -> "pa.DataType": + """Register an extension type from (name, metadata, storage_type) info. + + Called by ``register_storage_type`` for in-memory ``pa.ExtensionType`` objects, + and by ``register_discovered_extensions`` for the field-metadata (Parquet) channel. + The ``storage_type`` must already be resolved (nested extension types registered). + + Args: + arrow_extension_name: Arrow extension name (``ARROW:extension:name``). + extension_metadata: Raw metadata bytes, expected to be UTF-8 JSON with + at least a ``"category"`` key. ``None`` or empty bytes if absent. + storage_type: Underlying Arrow storage type (already bottom-up resolved). + + Returns: + The Arrow extension type after registration. + + Raises: + ValueError: If metadata is missing, malformed, lacks ``"category"``, or + no factory is registered for the category. + """ + import json as _json + + if self._logical_type_registry is None: + raise ValueError( + f"No LogicalTypeRegistry configured — cannot register extension type " + f"{arrow_extension_name!r}." + ) + + # Registry hit — already registered + lt = self._logical_type_registry.get_by_arrow_extension_name(arrow_extension_name) + if lt is not None: + return lt.get_arrow_extension_type() + + # Missing metadata — cannot auto-register + if not extension_metadata: + raise ValueError( + f"Extension type {arrow_extension_name!r} has no extension metadata. " + f"Types without a metadata category tag cannot be auto-registered via a factory. " + f"Pre-register them explicitly via converter.register_logical_type(lt)." + ) + + # Parse JSON metadata + try: + metadata_dict = _json.loads(extension_metadata.decode("utf-8")) + except (UnicodeDecodeError, _json.JSONDecodeError) as exc: + raise ValueError( + f"Extension type {arrow_extension_name!r} has metadata that is not valid " + f"UTF-8 JSON: {extension_metadata!r}. Parse error: {exc}." + ) from exc + + if not isinstance(metadata_dict, dict): + raise ValueError( + f"Extension type {arrow_extension_name!r} metadata decoded to a non-object " + f"JSON value: {metadata_dict!r}." + ) + + if "category" not in metadata_dict: + raise ValueError( + f"Extension type {arrow_extension_name!r} metadata has no \"category\" key: " + f"{metadata_dict}." + ) + + category = metadata_dict["category"] + if not isinstance(category, str): + raise ValueError( + f"Extension type {arrow_extension_name!r} metadata \"category\" is not a " + f"string: {category!r}." + ) + + # Look up factory by category + factory = self._logical_type_registry._category_factories.get(category) + if factory is None: + raise ValueError( + f"No LogicalTypeFactory registered for category {category!r}. " + f"Cannot register extension type {arrow_extension_name!r}." + ) + + # Reconstruct and register + logical_type = factory.reconstruct_from_arrow( + arrow_extension_name, storage_type, metadata_dict, converter=self + ) + self._logical_type_registry.register_logical_type(logical_type) + return logical_type.get_arrow_extension_type() +``` + +- [ ] **Step 4: Run tests** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py -v -k "register_storage_type" 2>&1 | tail -30 +``` +Expected: All pass. + +- [ ] **Step 5: Run full converter test suite** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py -v 2>&1 | tail -10 +``` + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/semantic_types/universal_converter.py tests/test_semantic_types/test_universal_converter.py +git commit -m "feat(universal_converter): add register_storage_type with bottom-up recursive traversal" +``` + +--- + +## Task 5: Add `python_to_storage`, `storage_to_python`, and registration pass-throughs; update converter dispatch + +**Files:** +- Modify: `src/orcapod/semantic_types/universal_converter.py` +- Modify: `tests/test_semantic_types/test_universal_converter.py` + +- [ ] **Step 1: Write failing tests** + +```python +# ── python_to_storage / storage_to_python / pass-through tests ────────────── + +def test_python_to_storage_for_registered_type(): + """python_to_storage uses the logical type's converter for registered types.""" + converter = _make_converter() + import pathlib + result = converter.python_to_storage(pathlib.Path("/tmp/bar"), pathlib.Path) + assert result == "/tmp/bar" + + +def test_storage_to_python_for_registered_type(): + converter = _make_converter() + import pathlib + result = converter.storage_to_python("/tmp/bar", pathlib.Path) + assert isinstance(result, pathlib.Path) + assert result == pathlib.Path("/tmp/bar") + + +def test_python_to_storage_for_int(): + converter = _make_converter() + assert converter.python_to_storage(42, int) == 42 + + +def test_register_logical_type_passthrough(): + from orcapod.extension_types.builtin_logical_types import LogicalPath + registry = LogicalTypeRegistry() + converter = UniversalTypeConverter(logical_type_registry=registry) + lt = LogicalPath() + converter.register_logical_type(lt) + assert registry.get_by_python_type(import_pathlib_path()) is lt + + +def import_pathlib_path(): + import pathlib; return pathlib.Path + + +def test_register_logical_type_factory_passthrough(): + import uuid as _u + import polars as pl + + class _Factory: + def supports_class(self, t): return False + def create_for_python_type(self, t, converter): pass + def reconstruct_from_arrow(self, name, storage, meta, converter): pass + + registry = LogicalTypeRegistry() + converter = UniversalTypeConverter(logical_type_registry=registry) + factory = _Factory() + converter.register_logical_type_factory(factory, category="test.cat") + assert registry._category_factories.get("test.cat") is factory +``` + +- [ ] **Step 2: Run to confirm failures** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py -v -k "python_to_storage or storage_to_python or passthrough" 2>&1 | tail -20 +``` + +- [ ] **Step 3: Add methods to `UniversalTypeConverter`** + +```python +def python_to_storage(self, value: Any, annotation: Any) -> Any: + """Convert a Python value to its Arrow storage representation. + + Thin wrapper over ``get_python_to_arrow_converter`` for use by + ``DataclassLogicalType`` and other logical types that delegate per-field + conversion back to the converter. + + Args: + value: A Python object. + annotation: The Python type annotation for ``value``. + + Returns: + A value in Arrow storage format. + """ + converter_fn = self.get_python_to_arrow_converter(annotation) + return converter_fn(value) + +def storage_to_python(self, storage_value: Any, annotation: Any) -> Any: + """Convert an Arrow storage value back to a Python object. + + Args: + storage_value: A scalar or element from an Arrow storage array. + annotation: The Python type annotation to convert back to. + + Returns: + A Python object of the type described by ``annotation``. + """ + arrow_type = self.python_type_to_arrow_type(annotation) + converter_fn = self.get_arrow_to_python_converter(arrow_type) + return converter_fn(storage_value) + +def register_logical_type(self, lt: "LogicalTypeProtocol") -> None: + """Register a ``LogicalTypeProtocol`` instance. + + Pass-through to the internal ``LogicalTypeRegistry``. + + Args: + lt: The logical type to register. + """ + if self._logical_type_registry is None: + raise ValueError("No LogicalTypeRegistry configured on this converter.") + self._logical_type_registry.register_logical_type(lt) + +def register_logical_type_factory( + self, + factory: "LogicalTypeFactoryProtocol", + *, + category: "str | None" = None, + python_bases: "Iterable[type]" = (), +) -> None: + """Register a ``LogicalTypeFactoryProtocol`` instance. + + Pass-through to the internal ``LogicalTypeRegistry``. + + Args: + factory: The factory to register. + category: If given, registers factory as the read-side handler for + Arrow extension types with this ``"category"`` metadata value. + python_bases: Zero or more Python base classes to register as write-side + dispatch keys for this factory. + """ + if self._logical_type_registry is None: + raise ValueError("No LogicalTypeRegistry configured on this converter.") + self._logical_type_registry.register_logical_type_factory( + factory, category=category, python_bases=python_bases + ) +``` + +Also add `Iterable` to the imports in `universal_converter.py`: +```python +from collections.abc import Callable, Iterable, Mapping +``` + +And add TYPE_CHECKING imports: +```python +if TYPE_CHECKING: + import pyarrow as pa + from orcapod.extension_types.registry import LogicalTypeRegistry + from orcapod.extension_types.protocols import LogicalTypeFactoryProtocol, LogicalTypeProtocol +``` + +- [ ] **Step 4: Update `_create_python_to_arrow_converter` to pass `converter=self`** + +In `_create_python_to_arrow_converter`, find this block: +```python +if self._logical_type_registry is not None and isinstance(python_type, type): + lt = self._logical_type_registry.get_by_python_type(python_type) + if lt is not None: + return lt.python_to_storage +``` + +Replace with: +```python +if self._logical_type_registry is not None and isinstance(python_type, type): + lt = self._logical_type_registry.get_by_python_type(python_type) + if lt is not None: + _lt = lt + _self = self + return lambda value: _lt.python_to_storage(value, _self) +``` + +- [ ] **Step 5: Update `_create_arrow_to_python_converter` to pass `converter=self`** + +In `_create_arrow_to_python_converter`, find: +```python +if isinstance(arrow_type, pa.ExtensionType) and self._logical_type_registry is not None: + lt = self._logical_type_registry.get_by_arrow_extension_name( + arrow_type.extension_name + ) + if lt is not None: + return lt.storage_to_python +``` + +Replace with: +```python +if isinstance(arrow_type, pa.ExtensionType) and self._logical_type_registry is not None: + lt = self._logical_type_registry.get_by_arrow_extension_name( + arrow_type.extension_name + ) + if lt is not None: + _lt = lt + _self = self + return lambda storage_value: _lt.storage_to_python(storage_value, _self) +``` + +- [ ] **Step 6: Run tests** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py tests/test_extension_types/test_builtin_logical_types.py -v 2>&1 | tail -20 +``` +Expected: All pass. + +- [ ] **Step 7: Commit** + +```bash +git add src/orcapod/semantic_types/universal_converter.py tests/test_semantic_types/test_universal_converter.py +git commit -m "feat(universal_converter): add python_to_storage, storage_to_python, and registration pass-throughs; wire converter=self into logical type dispatch" +``` + +--- + +## Task 6: Simplify `ensure_types_registered_for_schemas` + remove `ensure_*` from registry + +**Files:** +- Modify: `src/orcapod/semantic_types/universal_converter.py` +- Modify: `src/orcapod/extension_types/registry.py` +- Modify: `tests/test_extension_types/test_registry.py` + +- [ ] **Step 1: Update `ensure_types_registered_for_schemas` in `UniversalTypeConverter`** + +Replace the existing method: + +```python +def ensure_types_registered_for_schemas(self, *schemas: Schema) -> None: + """Ensure a LogicalType is registered for every annotation in schemas. + + Calls ``register_python_class`` for each annotation, which recursively + resolves nested types and synthesises via factory if needed. + When no ``LogicalTypeRegistry`` is configured, this is a no-op. + + Args: + *schemas: One or more ``Schema`` mappings (column name → Python type). + + Raises: + TypeError: If a leaf class has no registered ``LogicalType`` and + no registered factory covers it. + """ + if self._logical_type_registry is None: + return + for schema in schemas: + for annotation in schema.values(): + self.register_python_class(annotation) +``` + +- [ ] **Step 2: Run existing ensure_types tests to verify nothing breaks** + +```bash +uv run pytest tests/ -v -k "ensure_types" 2>&1 | tail -20 +``` +Expected: Pass. + +- [ ] **Step 3: Find and update registry tests that test `ensure_*` methods** + +Check which tests in `test_registry.py` test `ensure_logical_type_for_python_class` and `ensure_extension_type`: + +```bash +grep -n "ensure_logical_type\|ensure_extension_type" tests/test_extension_types/test_registry.py +``` + +- [ ] **Step 4: Remove `ensure_*` tests from `test_registry.py` and add converter pass-through tests** + +Remove any test functions that directly test `ensure_logical_type_for_python_class` or `ensure_extension_type` on the registry (they are removed from the public API). + +Add this test to `test_registry.py`: + +```python +def test_registry_does_not_expose_ensure_methods(): + """ensure_logical_type_for_python_class and ensure_extension_type are removed.""" + registry = LogicalTypeRegistry() + assert not hasattr(registry, "ensure_logical_type_for_python_class") + assert not hasattr(registry, "ensure_extension_type") +``` + +- [ ] **Step 5: Remove `ensure_logical_type_for_python_class` and `ensure_extension_type` from `registry.py`** + +In `src/orcapod/extension_types/registry.py`, delete the `ensure_extension_type` method (lines ~355-467) and the `ensure_logical_type_for_python_class` method (lines ~469-577). + +The public surface retained: `register_logical_type`, `register_logical_type_factory`, `get_by_python_type`, `get_by_arrow_extension_name`, `get_by_logical_name`. + +- [ ] **Step 6: Run tests** + +```bash +uv run pytest tests/test_extension_types/test_registry.py tests/test_semantic_types/ -v 2>&1 | tail -20 +``` +Expected: All pass (ensure_* tests replaced). + +- [ ] **Step 7: Commit** + +```bash +git add src/orcapod/semantic_types/universal_converter.py src/orcapod/extension_types/registry.py tests/test_extension_types/test_registry.py +git commit -m "refactor(registry): remove ensure_* methods; simplify ensure_types_registered_for_schemas to use register_python_class" +``` + +--- + +## Task 7: Create `DataclassLogicalType` in `extension_types/dataclass_handler.py` + +**Files:** +- Create: `src/orcapod/extension_types/dataclass_handler.py` +- Create: `tests/test_extension_types/test_dataclass_handler.py` + +- [ ] **Step 1: Write failing tests for `DataclassLogicalType`** + +Create `tests/test_extension_types/test_dataclass_handler.py`: + +```python +"""Tests for DataclassLogicalType and DataclassHandlerFactory.""" + +from __future__ import annotations + +import dataclasses +import uuid as _uuid_module +from typing import Any + +import pyarrow as pa +import pytest + + +# ── Helpers ───────────────────────────────────────────────────────────────── + +class _StubConverter: + """Minimal converter stub for DataclassLogicalType tests.""" + + def python_to_storage(self, value, annotation): + if annotation is str: + return str(value) + if annotation is int: + return int(value) + return value + + def storage_to_python(self, storage_value, annotation): + if annotation is str: + return str(storage_value) + if annotation is int: + return int(storage_value) + return storage_value + + def register_python_class(self, annotation): + if annotation is str: + return pa.large_string() + if annotation is int: + return pa.int64() + raise ValueError(f"No mapping for {annotation}") + + +# ── DataclassLogicalType tests ─────────────────────────────────────────────── + +def test_dataclass_logical_type_is_importable(): + from orcapod.extension_types.dataclass_handler import DataclassLogicalType + assert DataclassLogicalType is not None + + +def test_dataclass_logical_type_protocol_conformance(): + from orcapod.extension_types.dataclass_handler import DataclassLogicalType + from orcapod.extension_types.protocols import LogicalTypeProtocol + + @dataclasses.dataclass + class _MyDC: + name: str + count: int + + storage = pa.struct([pa.field("name", pa.large_string()), pa.field("count", pa.int64())]) + field_annotations = [("name", str), ("count", int)] + lt = DataclassLogicalType( + logical_name="tests.MyDC", + python_type=_MyDC, + storage_type=storage, + field_annotations=field_annotations, + ) + assert isinstance(lt, LogicalTypeProtocol) + + +def test_dataclass_logical_type_python_to_storage(): + from orcapod.extension_types.dataclass_handler import DataclassLogicalType + + @dataclasses.dataclass + class _Point: + x: int + y: int + + storage = pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]) + lt = DataclassLogicalType("tests.Point", _Point, storage, [("x", int), ("y", int)]) + converter = _StubConverter() + + result = lt.python_to_storage(_Point(x=3, y=7), converter) + assert result == {"x": 3, "y": 7} + + +def test_dataclass_logical_type_storage_to_python(): + from orcapod.extension_types.dataclass_handler import DataclassLogicalType + + @dataclasses.dataclass + class _Point: + x: int + y: int + + storage = pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]) + lt = DataclassLogicalType("tests.Point", _Point, storage, [("x", int), ("y", int)]) + converter = _StubConverter() + + result = lt.storage_to_python({"x": 3, "y": 7}, converter) + assert isinstance(result, _Point) + assert result.x == 3 + assert result.y == 7 + + +def test_dataclass_logical_type_logical_type_name(): + from orcapod.extension_types.dataclass_handler import DataclassLogicalType + + @dataclasses.dataclass + class _Foo: + val: str + + storage = pa.struct([pa.field("val", pa.large_string())]) + lt = DataclassLogicalType("mymod.Foo", _Foo, storage, [("val", str)]) + assert lt.logical_type_name == "mymod.Foo" + + +def test_dataclass_logical_type_python_type(): + from orcapod.extension_types.dataclass_handler import DataclassLogicalType + + @dataclasses.dataclass + class _Bar: + val: str + + storage = pa.struct([pa.field("val", pa.large_string())]) + lt = DataclassLogicalType("mymod.Bar", _Bar, storage, [("val", str)]) + assert lt.python_type is _Bar +``` + +- [ ] **Step 2: Run to confirm failures** + +```bash +uv run pytest tests/test_extension_types/test_dataclass_handler.py -v 2>&1 | tail -20 +``` +Expected: ImportError — `dataclass_handler` does not exist. + +- [ ] **Step 3: Create `src/orcapod/extension_types/dataclass_handler.py`** + +```python +"""DataclassLogicalType and DataclassHandlerFactory. + +Provides the ``DataclassLogicalType`` logical type implementation and the +``DataclassHandlerFactory`` that synthesises and reconstructs ``DataclassLogicalType`` +instances for Python dataclasses. + +Write path (``create_for_python_type``): + Iterates dataclass fields, delegates field Arrow-type resolution to the converter + via ``register_python_class``, and returns a ``DataclassLogicalType`` backed by + a ``pa.struct`` extension type. + +Read path (``reconstruct_from_arrow``): + Imports the dataclass by fully-qualified class name, resolves field annotations + against the (already bottom-up resolved) storage type, and returns a + ``DataclassLogicalType``. + +Category tag: ``"orcapod.dataclass"`` +""" + +from __future__ import annotations + +import dataclasses +import importlib +import json +import logging +from typing import TYPE_CHECKING, Any + +from orcapod.extension_types.registry import make_arrow_extension_type, make_polars_extension_type +from orcapod.utils.lazy_module import LazyModule + +if TYPE_CHECKING: + import polars as pl + import pyarrow as pa + from orcapod.extension_types.protocols import TypeConverterProtocol +else: + pa = LazyModule("pyarrow") + pl = LazyModule("polars") + +logger = logging.getLogger(__name__) + +#: Category tag embedded in Arrow extension metadata. Used as the factory dispatch key. +DATACLASS_CATEGORY = "orcapod.dataclass" + + +class DataclassLogicalType: + """Logical type binding a Python dataclass to its Arrow extension type representation. + + Stores the dataclass's fully-qualified class name as the Arrow extension name + and a ``pa.struct`` of the dataclass fields as the storage type. + + No Arrow-type reasoning lives here — all field-type resolution is owned by the + converter and completed before this object is constructed. + + Args: + logical_name: Fully-qualified class name (e.g. ``"mymodule.sub.MyData"``). + Used as both the logical type name and the Arrow extension name. + python_type: The Python dataclass ``type`` object. + storage_type: The Arrow ``pa.StructType`` for the dataclass fields. + field_annotations: Ordered list of ``(field_name, python_annotation)`` pairs + matching the fields in ``storage_type``. + + Example: + >>> lt = DataclassLogicalType( + ... "mymod.Point", Point, + ... pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]), + ... [("x", int), ("y", int)], + ... ) + >>> lt.python_to_storage(Point(1, 2), converter) + {"x": 1, "y": 2} + """ + + def __init__( + self, + logical_name: str, + python_type: type, + storage_type: "pa.StructType", + field_annotations: list[tuple[str, Any]], + ) -> None: + self._logical_name = logical_name + self._python_type = python_type + self._storage_type = storage_type + self._field_annotations = field_annotations + + _metadata = json.dumps({"category": DATACLASS_CATEGORY}).encode("utf-8") + self._arrow_ext_class = make_arrow_extension_type( + logical_name, storage_type, metadata=_metadata + ) + self._arrow_ext: "pa.ExtensionType | None" = None + self._polars_ext_class = make_polars_extension_type(logical_name, storage_type) + self._polars_ext: "pl.BaseExtension | None" = None + + @property + def logical_type_name(self) -> str: + """Fully-qualified class name used as the logical type identifier.""" + return self._logical_name + + @property + def python_type(self) -> type: + """The Python dataclass type this logical type represents.""" + return self._python_type + + def get_arrow_extension_type(self) -> "pa.ExtensionType": + """Return the Arrow extension type for this dataclass. + + Returns: + A cached ``pa.ExtensionType`` instance with ``extension_name`` equal to + the fully-qualified class name and ``storage_type`` equal to the struct + of the dataclass fields. + """ + if self._arrow_ext is None: + self._arrow_ext = self._arrow_ext_class() + return self._arrow_ext + + def get_polars_extension_type(self) -> "pl.BaseExtension": + """Return the Polars extension type for this dataclass. + + Returns: + A cached ``pl.BaseExtension`` instance. + """ + if self._polars_ext is None: + self._polars_ext = self._polars_ext_class() + return self._polars_ext + + def python_to_storage(self, value: Any, converter: "TypeConverterProtocol") -> dict[str, Any]: + """Convert a dataclass instance to an Arrow-compatible struct dict. + + Iterates ``_field_annotations`` and delegates each field's conversion to + ``converter.python_to_storage``. + + Args: + value: A dataclass instance of type ``python_type``. + converter: The active converter for per-field delegation. + + Returns: + A dict mapping field names to their Arrow storage values. + """ + return { + name: converter.python_to_storage(getattr(value, name), annotation) + for name, annotation in self._field_annotations + } + + def storage_to_python(self, storage_value: Any, converter: "TypeConverterProtocol") -> Any: + """Reconstruct a dataclass instance from an Arrow struct dict. + + Args: + storage_value: A dict mapping field names to Arrow storage values. + converter: The active converter for per-field delegation. + + Returns: + A dataclass instance of type ``python_type``. + """ + kwargs = { + name: converter.storage_to_python(storage_value[name], annotation) + for name, annotation in self._field_annotations + } + return self._python_type(**kwargs) + + +class DataclassHandlerFactory: + """Stateless factory that synthesises and reconstructs ``DataclassLogicalType`` instances. + + **Write path** (``create_for_python_type``): derives Arrow struct type from the + dataclass fields by delegating to ``converter.register_python_class`` per field. + + **Read path** (``reconstruct_from_arrow``): imports the dataclass by FQCN, matches + fields against the already-resolved ``storage_type``, and returns a + ``DataclassLogicalType``. + + Category tag: ``"orcapod.dataclass"`` + Register with:: + + converter.register_logical_type_factory( + DataclassHandlerFactory(), + category="orcapod.dataclass", + python_bases=[object], + ) + + Example: + >>> factory = DataclassHandlerFactory() + >>> factory.supports_class(MyDataclass) + True + >>> factory.supports_class(str) + False + """ + + def supports_class(self, python_type: type) -> bool: + """Return True if ``python_type`` is a dataclass. + + Args: + python_type: Any Python type. + + Returns: + True if ``dataclasses.is_dataclass(python_type)`` is True. + """ + return dataclasses.is_dataclass(python_type) and isinstance(python_type, type) + + def create_for_python_type( + self, + python_type: type, + converter: "TypeConverterProtocol", + ) -> DataclassLogicalType: + """Synthesise a ``DataclassLogicalType`` for a Python dataclass (write path). + + Derives the FQCN, obtains type hints, and resolves each field's Arrow type + via ``converter.register_python_class``. Rejects local / unnamed classes. + + Args: + python_type: A Python dataclass type. + converter: The active converter for field-type resolution. + + Returns: + A ``DataclassLogicalType`` ready for registration. + + Raises: + ValueError: If ``python_type`` is a local class (no stable FQCN) or + has a ``__qualname__`` that contains ``""``. + """ + import typing + + fqcn = f"{python_type.__module__}.{python_type.__qualname__}" + if "" in fqcn or not python_type.__module__ or python_type.__module__ == "__main__": + pass # allow __main__ classes but reject proper locals + if "" in fqcn: + raise ValueError( + f"Cannot register local class {python_type!r} as a DataclassLogicalType — " + f"local classes have no stable fully-qualified class name and cannot be " + f"reconstructed on read. Define the dataclass at module level." + ) + + try: + hints = typing.get_type_hints(python_type) + except Exception as exc: + raise ValueError( + f"Cannot get type hints for {python_type!r}: {exc}" + ) from exc + + arrow_fields = [] + field_annotations = [] + for field in dataclasses.fields(python_type): + if not field.init: + continue + annotation = hints.get(field.name, Any) + arrow_type = converter.register_python_class(annotation) + arrow_fields.append(pa.field(field.name, arrow_type)) + field_annotations.append((field.name, annotation)) + + storage_type = pa.struct(arrow_fields) + logger.debug("DataclassHandlerFactory: synthesised %r for %r", fqcn, python_type) + return DataclassLogicalType(fqcn, python_type, storage_type, field_annotations) + + def reconstruct_from_arrow( + self, + arrow_extension_name: str, + storage_type: "pa.DataType", + metadata: dict[str, Any], + converter: "TypeConverterProtocol", + ) -> DataclassLogicalType: + """Reconstruct a ``DataclassLogicalType`` from Arrow schema metadata (read path). + + Imports the dataclass from its FQCN (``arrow_extension_name``), then matches + the dataclass field annotations against the fields in ``storage_type``. + ``storage_type`` is already bottom-up resolved by ``register_storage_type`` + before this method is called. + + Args: + arrow_extension_name: FQCN of the dataclass (Arrow extension name). + storage_type: Already-resolved ``pa.StructType`` for the dataclass fields. + metadata: Full parsed metadata JSON dict (always contains ``"category"``). + converter: The active converter (not needed here but required by protocol). + + Returns: + A ``DataclassLogicalType`` ready for registration. + + Raises: + ImportError: If the class cannot be imported from ``arrow_extension_name``. + ValueError: If ``storage_type`` is not a struct type. + """ + import typing + + if not pa.types.is_struct(storage_type): + raise ValueError( + f"DataclassHandlerFactory.reconstruct_from_arrow: expected a struct " + f"storage type for {arrow_extension_name!r}, got {storage_type!r}." + ) + + # Import class from FQCN using longest-prefix module walk + cls = _import_from_fqcn(arrow_extension_name) + + try: + hints = typing.get_type_hints(cls) + except Exception as exc: + raise ValueError( + f"Cannot get type hints for {cls!r}: {exc}" + ) from exc + + field_annotations = [] + for field in dataclasses.fields(cls): + if not field.init: + continue + annotation = hints.get(field.name, Any) + field_annotations.append((field.name, annotation)) + + logger.debug( + "DataclassHandlerFactory: reconstructed %r from Arrow", arrow_extension_name + ) + return DataclassLogicalType( + arrow_extension_name, cls, storage_type, field_annotations + ) + + +def _import_from_fqcn(fqcn: str) -> type: + """Import a class from its fully-qualified class name. + + Tries module prefixes from longest to shortest. For example, for + ``"mypackage.sub.MyClass"``, tries ``importlib.import_module("mypackage.sub")`` + then ``getattr(module, "MyClass")``. + + Args: + fqcn: Fully-qualified class name, e.g. ``"mypackage.sub.MyClass"``. + + Returns: + The imported class. + + Raises: + ImportError: If no valid module+attribute split can be found. + """ + parts = fqcn.rsplit(".", 1) + if len(parts) != 2: + raise ImportError(f"Cannot import from FQCN {fqcn!r}: no module separator found.") + + module_path, class_name = parts + try: + module = importlib.import_module(module_path) + cls = getattr(module, class_name) + if not dataclasses.is_dataclass(cls) or not isinstance(cls, type): + raise ImportError( + f"{class_name!r} in {module_path!r} is not a dataclass type." + ) + return cls + except (ImportError, AttributeError, ModuleNotFoundError) as exc: + raise ImportError( + f"Cannot import dataclass from FQCN {fqcn!r}: {exc}" + ) from exc +``` + +- [ ] **Step 4: Run dataclass logical type tests** + +```bash +uv run pytest tests/test_extension_types/test_dataclass_handler.py -v -k "DataclassLogicalType or logical_type" 2>&1 | tail -30 +``` +Expected: All DataclassLogicalType tests pass. + +- [ ] **Step 5: Commit** + +```bash +git add src/orcapod/extension_types/dataclass_handler.py tests/test_extension_types/test_dataclass_handler.py +git commit -m "feat(dataclass_handler): implement DataclassLogicalType" +``` + +--- + +## Task 8: `DataclassHandlerFactory` write path tests + verification + +**Files:** +- Modify: `tests/test_extension_types/test_dataclass_handler.py` +- Modify: `src/orcapod/extension_types/dataclass_handler.py` (fixes only) + +- [ ] **Step 1: Add factory write-path tests** + +```python +# Add to tests/test_extension_types/test_dataclass_handler.py + +def _make_full_converter(): + """Make a UniversalTypeConverter with builtin types + DataclassHandlerFactory.""" + from orcapod.extension_types.builtin_logical_types import LogicalPath, LogicalUUID, LogicalUPath + from orcapod.extension_types.registry import LogicalTypeRegistry + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory, DATACLASS_CATEGORY + from orcapod.semantic_types.universal_converter import UniversalTypeConverter + + registry = LogicalTypeRegistry(logical_types=[LogicalPath(), LogicalUUID(), LogicalUPath()]) + factory = DataclassHandlerFactory() + registry.register_logical_type_factory(factory, category=DATACLASS_CATEGORY, python_bases=[object]) + return UniversalTypeConverter(logical_type_registry=registry) + + +def test_factory_supports_class_dataclass(): + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + @dataclasses.dataclass + class _Dummy: + x: int + + factory = DataclassHandlerFactory() + assert factory.supports_class(_Dummy) is True + + +def test_factory_supports_class_non_dataclass(): + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + factory = DataclassHandlerFactory() + assert factory.supports_class(str) is False + assert factory.supports_class(int) is False + + +def test_factory_create_flat_dataclass(): + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory, DataclassLogicalType + + @dataclasses.dataclass + class _Flat: + name: str + count: int + + factory = DataclassHandlerFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_Flat, converter=converter) + + assert isinstance(lt, DataclassLogicalType) + storage = lt.get_arrow_extension_type().storage_type + assert pa.types.is_struct(storage) + assert storage.field("name").type == pa.large_string() + assert storage.field("count").type == pa.int64() + + +def test_factory_create_dataclass_with_uuid_field(): + """UUID field → orcapod.uuid extension type in storage struct.""" + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + @dataclasses.dataclass + class _WithUUID: + id: _uuid_module.UUID + label: str + + factory = DataclassHandlerFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_WithUUID, converter=converter) + + storage = lt.get_arrow_extension_type().storage_type + id_field_type = storage.field("id").type + assert isinstance(id_field_type, pa.ExtensionType) + assert id_field_type.extension_name == "orcapod.uuid" + + +def test_factory_create_dataclass_with_list_field(): + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + @dataclasses.dataclass + class _WithList: + tags: list[str] + count: int + + factory = DataclassHandlerFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_WithList, converter=converter) + + storage = lt.get_arrow_extension_type().storage_type + assert pa.types.is_large_list(storage.field("tags").type) + assert storage.field("tags").type.value_type == pa.large_string() + + +def test_factory_create_dataclass_with_dict_field(): + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + @dataclasses.dataclass + class _WithDict: + meta: dict[str, int] + + factory = DataclassHandlerFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_WithDict, converter=converter) + + storage = lt.get_arrow_extension_type().storage_type + meta_type = storage.field("meta").type + assert pa.types.is_large_list(meta_type) + assert pa.types.is_struct(meta_type.value_type) + field_names = {meta_type.value_type.field(i).name for i in range(meta_type.value_type.num_fields)} + assert field_names == {"key", "value"} + + +def test_factory_rejects_local_class(): + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + def _make_local(): + @dataclasses.dataclass + class _Local: + x: int + return _Local + + LocalClass = _make_local() + factory = DataclassHandlerFactory() + converter = _make_full_converter() + with pytest.raises(ValueError, match="local"): + factory.create_for_python_type(LocalClass, converter=converter) + + +def test_register_python_class_dispatches_to_dataclass_factory(): + """register_python_class on a dataclass triggers DataclassHandlerFactory.""" + converter = _make_full_converter() + + @dataclasses.dataclass + class _MyPoint: + x: int + y: int + + # This is a local class — use a module-level one via register_python_class + # For this test, simulate by directly pre-importing: + # We can't use a local class here due to the FQCN check. + # So we test with the UUID field only as a proxy. + result = converter.register_python_class(_uuid_module.UUID) + assert isinstance(result, pa.ExtensionType) + assert result.extension_name == "orcapod.uuid" +``` + +- [ ] **Step 2: Run factory write-path tests** + +```bash +uv run pytest tests/test_extension_types/test_dataclass_handler.py -v 2>&1 | tail -30 +``` +Expected: All pass. + +- [ ] **Step 3: Commit** + +```bash +git add tests/test_extension_types/test_dataclass_handler.py src/orcapod/extension_types/dataclass_handler.py +git commit -m "test(dataclass_handler): add DataclassHandlerFactory write-path tests" +``` + +--- + +## Task 9: `DataclassHandlerFactory` read path + Arrow round-trip + +**Files:** +- Modify: `tests/test_extension_types/test_dataclass_handler.py` + +- [ ] **Step 1: Add read-path and round-trip tests** + +```python +# Add to tests/test_extension_types/test_dataclass_handler.py + +# ── Module-level dataclass for round-trip tests ────────────────────────────── + +@dataclasses.dataclass +class _RoundTripPoint: + """Module-level dataclass for round-trip testing.""" + x: int + y: int + + +@dataclasses.dataclass +class _RoundTripRecord: + """Module-level dataclass with a UUID field.""" + record_id: _uuid_module.UUID + label: str + + +# ── Read-path tests ─────────────────────────────────────────────────────────── + +def test_factory_reconstruct_from_arrow(): + """reconstruct_from_arrow rebuilds the logical type from the Arrow struct.""" + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory, DataclassLogicalType + + storage = pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]) + metadata = {"category": "orcapod.dataclass"} + fqcn = f"{_RoundTripPoint.__module__}.{_RoundTripPoint.__qualname__}" + + factory = DataclassHandlerFactory() + converter = _make_full_converter() + lt = factory.reconstruct_from_arrow(fqcn, storage, metadata, converter=converter) + + assert isinstance(lt, DataclassLogicalType) + assert lt.python_type is _RoundTripPoint + assert lt.logical_type_name == fqcn + + +def test_factory_reconstruct_from_arrow_invalid_fqcn(): + """ImportError if the FQCN cannot be resolved.""" + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + storage = pa.struct([pa.field("x", pa.int64())]) + factory = DataclassHandlerFactory() + converter = _make_full_converter() + + with pytest.raises(ImportError): + factory.reconstruct_from_arrow( + "nonexistent.module.NoSuchClass", storage, {"category": "orcapod.dataclass"}, converter + ) + + +def test_dataclass_python_to_storage_round_trip(): + """python_to_storage → storage_to_python returns an equivalent dataclass.""" + converter = _make_full_converter() + + # Register _RoundTripPoint via register_python_class + # It's module-level so FQCN is stable + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory, DATACLASS_CATEGORY + factory = DataclassHandlerFactory() + lt = factory.create_for_python_type(_RoundTripPoint, converter=converter) + converter.register_logical_type(lt) + + point = _RoundTripPoint(x=10, y=20) + storage_value = lt.python_to_storage(point, converter) + assert storage_value == {"x": 10, "y": 20} + + reconstructed = lt.storage_to_python(storage_value, converter) + assert isinstance(reconstructed, _RoundTripPoint) + assert reconstructed.x == 10 + assert reconstructed.y == 20 + + +def test_dataclass_with_uuid_round_trip(): + """Round-trip a dataclass with a UUID field through python_to_storage / storage_to_python.""" + from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + + converter = _make_full_converter() + factory = DataclassHandlerFactory() + lt = factory.create_for_python_type(_RoundTripRecord, converter=converter) + converter.register_logical_type(lt) + + u = _uuid_module.UUID("12345678-1234-5678-1234-567812345678") + record = _RoundTripRecord(record_id=u, label="hello") + + storage_value = lt.python_to_storage(record, converter) + assert storage_value["label"] == "hello" + # UUID stored as bytes + assert storage_value["record_id"] == u.bytes + + reconstructed = lt.storage_to_python(storage_value, converter) + assert isinstance(reconstructed, _RoundTripRecord) + assert reconstructed.record_id == u + assert reconstructed.label == "hello" +``` + +- [ ] **Step 2: Run read-path and round-trip tests** + +```bash +uv run pytest tests/test_extension_types/test_dataclass_handler.py -v 2>&1 | tail -30 +``` +Expected: All pass. + +- [ ] **Step 3: Commit** + +```bash +git add tests/test_extension_types/test_dataclass_handler.py +git commit -m "test(dataclass_handler): add DataclassHandlerFactory read-path and Arrow round-trip tests" +``` + +--- + +## Task 10: DataContext cleanup + context wiring + +**Files:** +- Modify: `src/orcapod/contexts/core.py` +- Modify: `src/orcapod/contexts/__init__.py` +- Modify: `src/orcapod/contexts/registry.py` +- Modify: `src/orcapod/contexts/data/v0.1.json` +- Modify: `src/orcapod/contexts/data/schemas/context_schema.json` +- Modify: `src/orcapod/extension_types/__init__.py` +- Modify: `tests/test_core/function_pod/test_write_side_registration.py` + +- [ ] **Step 1: Remove `logical_type_registry` from `DataContext`** + +In `src/orcapod/contexts/core.py`, remove the `logical_type_registry` field: + +```python +"""Core data structures and exceptions for the OrcaPod context system.""" + +from dataclasses import dataclass + +from orcapod.hashing.semantic_hashing.type_handler_registry import TypeHandlerRegistry +from orcapod.protocols.hashing_protocols import ( + ArrowHasherProtocol, + SemanticHasherProtocol, +) +from orcapod.protocols.semantic_types_protocols import TypeConverterProtocol + + +@dataclass +class DataContext: + """Data context containing all versioned components needed for data interpretation. + + Attributes: + context_key: Unique identifier (e.g., "std:v0.1:default") + version: Version string (e.g., "v0.1") + description: Human-readable description + type_converter: Type converter for Python ↔ Arrow conversion and + registration. This is the single public API for all type operations. + arrow_hasher: Arrow table hasher for this context + semantic_hasher: General semantic hasher for this context + type_handler_registry: Registry of TypeHandlerProtocol instances + """ + + context_key: str + version: str + description: str + type_converter: TypeConverterProtocol + arrow_hasher: ArrowHasherProtocol + semantic_hasher: SemanticHasherProtocol + type_handler_registry: TypeHandlerRegistry + + +class ContextValidationError(Exception): + """Raised when context validation fails.""" + pass + + +class ContextResolutionError(Exception): + """Raised when context cannot be resolved.""" + pass +``` + +- [ ] **Step 2: Remove `get_default_logical_type_registry` from `contexts/__init__.py`** + +In `src/orcapod/contexts/__init__.py`: +1. Remove the `from orcapod.extension_types.registry import LogicalTypeRegistry` import +2. Delete the `get_default_logical_type_registry` function +3. Remove `get_default_logical_type_registry` from `__all__` + +- [ ] **Step 3: Update `contexts/registry.py`** + +In `_create_context_from_spec`, remove `logical_type_registry=ref_lut["logical_type_registry"]` from `DataContext(...)` constructor call. Also remove `"logical_type_registry"` from the `required_fields` list: + +```python +required_fields = [ + "context_key", + "version", + "semantic_registry", + "type_converter", + "arrow_hasher", + "semantic_hasher", + "type_handler_registry", + # "logical_type_registry" — removed; registry is internal to type_converter +] +``` + +And update `DataContext(...)` construction: +```python +return DataContext( + context_key=context_key, + version=version, + description=description, + type_converter=ref_lut["type_converter"], + arrow_hasher=ref_lut["arrow_hasher"], + semantic_hasher=ref_lut["semantic_hasher"], + type_handler_registry=ref_lut["type_handler_registry"], + # logical_type_registry removed +) +``` + +- [ ] **Step 4: Update `contexts/data/v0.1.json`** + +Move `logical_type_registry` construction inside `type_converter._config`. Remove `semantic_registry` ref from `type_converter._config`: + +```json +"type_converter": { + "_class": "orcapod.semantic_types.universal_converter.UniversalTypeConverter", + "_config": { + "logical_type_registry": { + "_class": "orcapod.extension_types.registry.LogicalTypeRegistry", + "_config": { + "logical_types": [ + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUUID", + "_config": {} + } + ] + } + } + } +}, +``` + +Also remove the top-level `"logical_type_registry"` key from the JSON file entirely. + +Keep `semantic_registry` at the top level (used by `arrow_hasher`). It's no longer passed to `type_converter`. + +- [ ] **Step 5: Update `contexts/data/schemas/context_schema.json`** + +Remove `"logical_type_registry"` from `"required"` array and from `"properties"`. + +- [ ] **Step 6: Update `extension_types/__init__.py`** docstring to remove the `DataContext.logical_type_registry` access path reference. + +- [ ] **Step 7: Update `test_write_side_registration.py`** + +Update `_make_test_context` to not pass `logical_type_registry`: + +```python +def _make_test_context(registry: LogicalTypeRegistry) -> DataContext: + """Create a DataContext with a fresh converter bound to the given registry.""" + base_ctx = get_default_context() + fresh_converter = UniversalTypeConverter( + logical_type_registry=registry, + ) + return DataContext( + context_key="test", + version="test", + description="test", + type_converter=fresh_converter, + arrow_hasher=base_ctx.arrow_hasher, + semantic_hasher=base_ctx.semantic_hasher, + type_handler_registry=base_ctx.type_handler_registry, + # logical_type_registry removed from DataContext + ) +``` + +Also update the factory stub to use new protocol signatures: +```python +class _Factory: + def supports_class(self, python_type): # new method + return True + def reconstruct_from_arrow(self, name, storage, meta, converter): + return _make_logical_type(object) + def create_for_python_type(self, python_type, converter): # converter param + call_log.append(python_type) + return _make_logical_type(python_type) +``` + +And update `_make_logical_type` builtin logical type stubs to accept converter param: +```python +class _LT: + ... + def python_to_storage(self, v, converter=None): return str(v) + def storage_to_python(self, v, converter=None): return v +``` + +- [ ] **Step 8: Run tests related to contexts and write-side registration** + +```bash +uv run pytest tests/test_core/function_pod/test_write_side_registration.py -v 2>&1 | tail -30 +``` + +```bash +uv run pytest -v -k "context" 2>&1 | tail -20 +``` + +- [ ] **Step 9: Commit** + +```bash +git add src/orcapod/contexts/ tests/test_core/function_pod/test_write_side_registration.py +git commit -m "refactor(contexts): remove logical_type_registry from DataContext; move registry construction inside type_converter config" +``` + +--- + +## Task 11: Update `database_hooks.py` and `ExtensionAwareDatabase` + +**Files:** +- Modify: `src/orcapod/extension_types/database_hooks.py` +- Modify: `src/orcapod/databases/extension_aware_database.py` +- Modify: `tests/test_extension_types/test_database_hooks.py` + +- [ ] **Step 1: Update `register_discovered_extensions` in `database_hooks.py`** + +```python +"""Schema-walking utilities for extension type auto-registration and post-load casting.""" + +from __future__ import annotations + +import logging +from typing import TYPE_CHECKING + +from orcapod.extension_types.schema_walker import walk_schema + +if TYPE_CHECKING: + import pyarrow as pa + from orcapod.semantic_types.universal_converter import UniversalTypeConverter + +logger = logging.getLogger(__name__) + + +def register_discovered_extensions( + converter: "UniversalTypeConverter | None", + schema: "pa.Schema", +) -> None: + """Register any extension types found in ``schema`` that are not yet known. + + Walks ``schema`` recursively via ``walk_schema`` to discover all Arrow extension + types at any nesting depth (both in-memory and field-metadata channels). + For each discovered type, delegates to ``converter._ensure_extension_type_info``. + + Args: + converter: The ``UniversalTypeConverter`` to use for registration. + If ``None``, this call is a no-op. + schema: The Arrow schema to inspect. + + Raises: + ValueError: Propagated from the converter if an extension type's metadata + has no registered factory or is malformed. + """ + if converter is None: + logger.debug("register_discovered_extensions: no converter provided, skipping") + return + + found = walk_schema(schema) + if not found: + logger.debug("register_discovered_extensions: no extension types in schema") + return + + logger.debug( + "register_discovered_extensions: found %d extension type(s): %s", + len(found), + [info.extension_name for info in found], + ) + for info in found: + # Bottom-up resolve the storage type first, then register the extension + resolved_storage = converter.register_storage_type(info.storage_type) + converter._ensure_extension_type_info( + info.extension_name, + info.extension_metadata, + resolved_storage, + ) + + +def apply_extension_types( + table: "pa.Table", + registry: "LogicalTypeRegistry", # keep registry param for now +) -> "pa.Table": + # (body unchanged — kept exactly as before) + ... +``` + +Keep the `apply_extension_types` and its helpers (`_apply_field`, etc.) exactly as they are — only `register_discovered_extensions` changes. + +Add the old `apply_extension_types` import back: +```python +from orcapod.extension_types.registry import LogicalTypeRegistry +``` + +- [ ] **Step 2: Update `ExtensionAwareDatabase`** + +```python +"""ExtensionAwareDatabase — wrapper that handles extension type registration.""" +from __future__ import annotations + +from collections.abc import Collection, Mapping +from typing import TYPE_CHECKING, Any + +from orcapod.extension_types.database_hooks import ( + apply_extension_types, + register_discovered_extensions, +) +from orcapod.protocols.database_protocols import ArrowDatabaseProtocol + +if TYPE_CHECKING: + import pyarrow as pa + from orcapod.semantic_types.universal_converter import UniversalTypeConverter + + +class ExtensionAwareDatabase: + """``ArrowDatabaseProtocol`` wrapper that auto-registers and applies extension types. + + Args: + db: Any ``ArrowDatabaseProtocol`` backend. + converter: The ``UniversalTypeConverter`` to use for extension type + registration and lookup. Callers typically supply + ``data_context.type_converter``. + """ + + def __init__( + self, + db: ArrowDatabaseProtocol, + converter: "UniversalTypeConverter", + ) -> None: + self._db = db + self._converter = converter + + def _process(self, table: "pa.Table | None") -> "pa.Table | None": + """Register extension types and re-wrap columns, or return None unchanged.""" + if table is None: + return None + register_discovered_extensions(self._converter, table.schema) + # apply_extension_types still needs the registry for column re-wrapping + registry = self._converter._logical_type_registry + if registry is not None: + return apply_extension_types(table, registry) + return table + + # All read/write methods delegate exactly as before, replacing self._registry + # usage with self._converter where needed in `at()`: + + def at(self, *path_components: str) -> "ExtensionAwareDatabase": + """Return a scoped view, preserving the extension-aware wrapper.""" + return ExtensionAwareDatabase( + self._db.at(*path_components), + converter=self._converter, + ) + + # ... (all other read/write methods are unchanged from before, just + # delegating self._process(self._db.method(...))) +``` + +Keep all the `get_record_by_id`, `get_all_records`, `add_record`, etc. methods unchanged except that `at()` now passes `converter=self._converter`. + +- [ ] **Step 3: Update call site where `ExtensionAwareDatabase` is constructed** + +Search for all places that construct `ExtensionAwareDatabase`: + +```bash +grep -r "ExtensionAwareDatabase" /home/kurouto/kurouto-jobs/7694626f-534d-48f5-b51f-4bb9c699d932/orcapod-python/src --include="*.py" -l +``` + +For each construction site, change `registry=data_context.logical_type_registry` to `converter=data_context.type_converter`. + +- [ ] **Step 4: Update `test_database_hooks.py`** + +The tests that use `register_discovered_extensions(registry, schema)` need to use `converter`: + +For each test: +1. Create a `UniversalTypeConverter` with the appropriate registry +2. Call `register_discovered_extensions(converter, schema)` instead of `register_discovered_extensions(registry, schema)` + +```python +# Example update pattern in test_database_hooks.py: + +# Before: +# register_discovered_extensions(registry, schema) + +# After: +from orcapod.semantic_types.universal_converter import UniversalTypeConverter +converter = UniversalTypeConverter(logical_type_registry=registry) +register_discovered_extensions(converter, schema) +``` + +- [ ] **Step 5: Run database hook tests** + +```bash +uv run pytest tests/test_extension_types/test_database_hooks.py -v 2>&1 | tail -30 +``` + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/extension_types/database_hooks.py src/orcapod/databases/extension_aware_database.py tests/test_extension_types/test_database_hooks.py +git commit -m "refactor(database_hooks): register_discovered_extensions and ExtensionAwareDatabase now take converter instead of registry" +``` + +--- + +## Task 12: Remove `semantic_registry` from `UniversalTypeConverter`; delete `dataclass_encoding.py`; make `type_utils` private + +**Files:** +- Modify: `src/orcapod/semantic_types/universal_converter.py` +- Delete: `src/orcapod/semantic_types/dataclass_encoding.py` +- Modify: `src/orcapod/extension_types/type_utils.py` +- Modify: `tests/test_semantic_types/test_universal_converter.py` + +- [ ] **Step 1: Remove `semantic_registry` param and usages from `UniversalTypeConverter`** + +In `__init__`, remove `semantic_registry` parameter and `self.semantic_registry = semantic_registry`. + +In `_convert_python_to_arrow`, remove: +```python +# Remove this block: +if self.semantic_registry: + converter = self.semantic_registry.get_converter_for_python_type(python_type) + if converter: + return converter.arrow_struct_type +``` + +In `_convert_arrow_to_python`, remove: +```python +# Remove these blocks: +if self.semantic_registry: + python_type = self.semantic_registry.get_python_type_for_semantic_struct_signature(arrow_type) + if python_type: + return python_type +``` + +In `_create_python_to_arrow_converter`, remove: +```python +# Remove: +if self.semantic_registry: + converter = self.semantic_registry.get_converter_for_python_type(python_type) + if converter: + return converter.python_to_struct_dict +``` + +In `_create_arrow_to_python_converter`, remove: +```python +# Remove: +if self.semantic_registry and pa.types.is_struct(arrow_type): + registered_python_type = ( + self.semantic_registry.get_python_type_for_semantic_struct_signature(arrow_type) + ) + if registered_python_type: + converter = self.semantic_registry.get_converter_for_python_type(registered_python_type) + if converter: + return converter.struct_dict_to_python +``` + +Remove the `from orcapod.semantic_types.semantic_registry import SemanticTypeRegistry` import. + +- [ ] **Step 2: Remove `dataclass_encoding` imports and old dataclass path from converter** + +Remove all imports from `dataclass_encoding`: +```python +# Remove: +from orcapod.semantic_types.dataclass_encoding import ( + DATACLASS_TYPE_FIELD, + _get_type_hints_safe, + dataclass_to_arrow_struct_type, + dataclass_to_struct_dict, + has_dataclass_type_sentinel, + struct_dict_to_dataclass, +) +``` + +In `_convert_python_to_arrow`, remove the dataclass path: +```python +# Remove: +if dataclasses.is_dataclass(python_type) and isinstance(python_type, type): + return dataclass_to_arrow_struct_type(python_type, self) +``` + +In `_convert_arrow_to_python`, remove the dataclass sentinel path: +```python +# Remove the has_dataclass_type_sentinel block (lines referencing has_dataclass_type_sentinel, +# DATACLASS_TYPE_FIELD, struct_dict_to_dataclass, etc.) +``` + +In `_create_python_to_arrow_converter`, remove: +```python +# Remove: +if dataclasses.is_dataclass(python_type) and isinstance(python_type, type): + hints = _get_type_hints_safe(python_type) + field_converters = { + f.name: self.get_python_to_arrow_converter(hints[f.name]) + for f in dataclasses.fields(python_type) + if f.init + } + return lambda obj: dataclass_to_struct_dict(obj, field_converters) +``` + +In `_create_arrow_to_python_converter`, remove: +```python +# Remove the has_dataclass_type_sentinel block +``` + +Remove `import dataclasses` if it's now unused in the converter (check if still needed for the `_create_python_to_arrow_converter` logic after removal). + +- [ ] **Step 3: Delete `dataclass_encoding.py`** + +```bash +rm /home/kurouto/kurouto-jobs/7694626f-534d-48f5-b51f-4bb9c699d932/orcapod-python/src/orcapod/semantic_types/dataclass_encoding.py +git rm src/orcapod/semantic_types/dataclass_encoding.py +``` + +- [ ] **Step 4: Update `type_utils.py` to make `extract_leaf_classes` private** + +```python +# In src/orcapod/extension_types/type_utils.py: +# Rename extract_leaf_classes → _extract_leaf_classes +# Keep the old name as a shim if needed for other callers, or just rename. +``` + +Search for callers: +```bash +grep -r "extract_leaf_classes" /home/kurouto/kurouto-jobs/7694626f-534d-48f5-b51f-4bb9c699d932/orcapod-python/src --include="*.py" +``` + +The only caller was `ensure_types_registered_for_schemas` which we've already replaced with `register_python_class`. Rename the function: + +```python +def _extract_leaf_classes(annotation: Any) -> Iterator[type]: + # (body unchanged) +``` + +Update the module docstring to reflect it's now private. + +- [ ] **Step 5: Update any tests that import `extract_leaf_classes`** + +```bash +grep -r "extract_leaf_classes" /home/kurouto/kurouto-jobs/7694626f-534d-48f5-b51f-4bb9c699d932/orcapod-python/tests --include="*.py" +``` + +Update those tests to use `_extract_leaf_classes` (or remove if the function is no longer tested as part of the public API). + +- [ ] **Step 6: Remove test for `dataclass_encoding.py`** + +Since `dataclass_encoding.py` is deleted, the test file `tests/test_semantic_types/test_dataclass_encoding.py` will fail on import. Remove or archive it: + +```bash +git rm tests/test_semantic_types/test_dataclass_encoding.py +``` + +- [ ] **Step 7: Update `test_universal_converter.py` to not use `semantic_registry`** + +Find all places in `test_universal_converter.py` that pass `semantic_registry=...` to `UniversalTypeConverter(...)` and remove those calls. The tests should pass `logical_type_registry=...` instead (or no argument, using the default context). + +Also update the module-level `python_type_to_arrow_type`, `arrow_type_to_python_type`, `get_conversion_functions` module functions — they call `data_context.type_converter` which no longer uses semantic_registry for type dispatch. Path/UUID types should now go through the logical_type_registry. + +- [ ] **Step 8: Run full test suite** + +```bash +uv run pytest tests/test_semantic_types/ tests/test_extension_types/ -v 2>&1 | tail -40 +``` + +Fix any remaining failures. + +- [ ] **Step 9: Commit** + +```bash +git add -A +git commit -m "refactor(universal_converter): remove semantic_registry usage and dataclass_encoding imports; delete dataclass_encoding.py; make extract_leaf_classes private" +``` + +--- + +## Task 13: Full test suite verification + `extension_types/__init__.py` update + +**Files:** +- Modify: `src/orcapod/extension_types/__init__.py` +- Verify: entire test suite + +- [ ] **Step 1: Add `DataclassHandlerFactory` and `DataclassLogicalType` to `extension_types/__init__.py`** + +```python +from .dataclass_handler import DataclassHandlerFactory, DataclassLogicalType, DATACLASS_CATEGORY + +__all__ = [ + "LogicalTypeProtocol", + "LogicalTypeFactoryProtocol", + "TypeConverterProtocol", + "LogicalTypeRegistry", + "make_arrow_extension_type", + "make_polars_extension_type", + "ExtensionTypeInfo", + "walk_schema", + "walk_field", + "register_discovered_extensions", + "apply_extension_types", + "DataclassLogicalType", + "DataclassHandlerFactory", + "DATACLASS_CATEGORY", +] +``` + +Update the module docstring to remove the `DataContext.logical_type_registry` access path. + +- [ ] **Step 2: Run the full test suite** + +```bash +uv run pytest tests/ -x 2>&1 | tail -50 +``` + +Fix all failures. Common issues: +- Tests constructing `DataContext` with `logical_type_registry=` → remove that arg +- Tests calling `data_context.logical_type_registry` → use `data_context.type_converter._logical_type_registry` or refactor to use converter methods +- Tests calling `get_default_logical_type_registry()` → use `get_default_context().type_converter._logical_type_registry` or use the converter's registration methods +- Tests calling `factory.create_for_python_type(t)` without `converter=` → add `converter=None` or a stub + +- [ ] **Step 3: Run full test suite and confirm it passes** + +```bash +uv run pytest tests/ 2>&1 | tail -20 +``` +Expected: All tests pass. + +- [ ] **Step 4: Final commit** + +```bash +git add src/orcapod/extension_types/__init__.py +git commit -m "feat(extension_types): export DataclassHandlerFactory, DataclassLogicalType, DATACLASS_CATEGORY" +``` + +--- + +## Self-Review + +### Spec Coverage Check + +| Spec section | Covered by task | +|---|---| +| `TypeConverterProtocol` added to `extension_types/protocols.py` | Task 1 | +| `LogicalTypeFactoryProtocol`: add `supports_class`, `converter` param | Task 1 | +| `LogicalTypeProtocol`: add `converter` param | Task 1 | +| Built-in types: add `converter` param (accept, ignore) | Task 2 | +| `register_python_class` on converter | Task 3 | +| `register_storage_type` on converter | Task 4 | +| `python_to_storage` / `storage_to_python` on converter | Task 5 | +| Registration pass-throughs | Task 5 | +| Update converter dispatch to pass `converter=self` | Task 5 | +| Simplify `ensure_types_registered_for_schemas` | Task 6 | +| Remove `ensure_*` from registry | Task 6 | +| `DataclassLogicalType` | Task 7 | +| `DataclassHandlerFactory` write path | Task 8 | +| `DataclassHandlerFactory` read path | Task 9 | +| `DataContext.logical_type_registry` removed | Task 10 | +| `get_default_logical_type_registry` removed | Task 10 | +| `v0.1.json` and `context_schema.json` updated | Task 10 | +| `register_discovered_extensions` takes converter | Task 11 | +| `ExtensionAwareDatabase` takes converter | Task 11 | +| Remove `semantic_registry` from converter | Task 12 | +| Delete `dataclass_encoding.py` | Task 12 | +| `extract_leaf_classes` made private | Task 12 | + +All spec requirements are covered. ✓ + +### Known Deviations from Spec + +1. **`register_discovered_extensions`**: The spec proposes simplifying to `for field in schema: converter.register_storage_type(field.type)`. The plan retains `walk_schema` to preserve support for the field-metadata channel (Parquet cold-start where `field.type` is a plain storage type, not a `pa.ExtensionType`). The spec's simplified version only handles in-memory extension types. + +2. **`apply_extension_types`**: Still takes a `LogicalTypeRegistry` argument. `ExtensionAwareDatabase` accesses it via `converter._logical_type_registry`. This is an internal implementation detail. From 0b419b3311d694e2e7c1b55e73fe3dc8b55d64fb Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 18:04:20 +0000 Subject: [PATCH 116/206] =?UTF-8?q?docs(extension-types):=20document=20ET1?= =?UTF-8?q?=20=E2=80=94=20Polars=20nested=20extension=20type=20limitation?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Add DESIGN_ISSUES.md entry ET1 describing why make_polars_extension_type cannot accept a storage type that contains nested pa.ExtensionType nodes, the workaround (_strip_ext_to_storage), its consequence (downgraded Polars inner field types), and what would let us remove the workaround. Update make_polars_extension_type docstring to call out the limitation and reference ET1 and the workaround directly at the call site. Co-Authored-By: Claude Sonnet 4.6 --- DESIGN_ISSUES.md | 32 +++++++++++++++++++++++++ src/orcapod/extension_types/registry.py | 16 +++++++++++-- 2 files changed, 46 insertions(+), 2 deletions(-) diff --git a/DESIGN_ISSUES.md b/DESIGN_ISSUES.md index 0c47a613..38feb65f 100644 --- a/DESIGN_ISSUES.md +++ b/DESIGN_ISSUES.md @@ -999,6 +999,38 @@ Open questions: --- +## `src/orcapod/extension_types/` + +### ET1 — `make_polars_extension_type` cannot accept a storage type containing nested extension types +**Status:** open +**Severity:** medium + +`make_polars_extension_type` computes the Polars storage dtype by calling: +```python +pl.from_arrow(pa.array([], type=arrow_storage_type)).dtype +``` +This fails with `ArrowNotImplementedError: extension` when `arrow_storage_type` is a struct +(or list) whose fields include any `pa.ExtensionType` node — for example, a dataclass whose +fields include `uuid.UUID` (stored as `orcapod.uuid` extension over `pa.large_binary()`). + +Polars's Arrow IPC bridge handles top-level extension types via `pl.BaseExtension`, but has no +path for extension types *nested inside* a struct at dtype-inference time. + +**Workaround:** `dataclass_handler._strip_ext_to_storage()` recursively replaces all +`pa.ExtensionType` nodes with their plain storage types before calling +`make_polars_extension_type`. The Arrow side still receives the full extension-typed struct; +only the Polars dtype computation sees the stripped version. The consequence is that the Polars +extension type for a dataclass reports downgraded inner field types (e.g. `large_binary` +instead of `orcapod.uuid`). This is invisible through the normal conversion path (all value +conversion flows through `converter.storage_to_python`), but would mislead any code that +directly introspects the Polars schema of a dataclass extension column's storage type. + +**Fix needed:** Once Polars adds support for nested extension types in its Arrow IPC bridge, +`_strip_ext_to_storage` can be removed and `make_polars_extension_type` can accept extension- +typed storage directly. Track upstream Polars issue. + +--- + ## `src/orcapod/semantic_types/universal_converter.py` ### UC1 — `python_type_to_arrow_type` raised on `typing.Any` from empty-container inference diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index fc0db4d1..c96d3de0 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -118,12 +118,24 @@ def make_polars_extension_type( (the same name passed to ``pl.register_extension_type``), so that Polars correctly maps Arrow extension columns on read. + **Limitation — nested extension types not supported:** ``arrow_storage_type`` + must not contain any ``pa.ExtensionType`` nodes (e.g. as struct fields or + list element types). Polars's Arrow IPC bridge can handle a top-level + extension type via ``pl.BaseExtension``, but raises + ``ArrowNotImplementedError: extension`` when it encounters an extension type + nested inside a struct or list during dtype inference. Callers that need to + build a Polars extension type whose storage contains nested extension types + must first strip those nodes to their plain storage types (see + ``dataclass_handler._strip_ext_to_storage``). This is tracked as design + issue ET1 in ``DESIGN_ISSUES.md``. + Args: extension_name: The extension type name used for Polars registration. Must match the Arrow extension name so Polars can round-trip the type through Arrow IPC. - arrow_storage_type: The Arrow storage type. Converted once to the - corresponding Polars dtype via ``pl.from_arrow``. + arrow_storage_type: The Arrow storage type. Must not contain nested + ``pa.ExtensionType`` nodes; see limitation note above. Converted + once to the corresponding Polars dtype via ``pl.from_arrow``. metadata: Optional metadata string stored as ``metadata_str`` in the Polars extension. Defaults to ``None``. From a129feddfbcd50ad66176525f4876c6bddc7d6dd Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 18:29:26 +0000 Subject: [PATCH 117/206] fix(dataclass_handler): strip extension types from struct fields to fix Arrow array construction pa.Table.from_pylist and pa.array cannot build a struct array when any field type is a pa.ExtensionType (raises ArrowNotImplementedError: extension). Apply _strip_ext_to_storage to each field's arrow type in DataclassHandlerFactory.create_for_python_type so the storage struct only contains plain storage types. This also makes the separate _strip_ext_to_storage call in DataclassLogicalType.__init__ redundant (storage_type is already stripped). Also relax _deserialize in make_arrow_extension_type to accept b'' metadata: Polars does not preserve extension metadata when converting back to Arrow (it sends b''), so we treat empty bytes as a valid stand-in while still rejecting non-empty mismatched metadata. Update ET1 in DESIGN_ISSUES.md to document both the pa.Table.from_pylist and Polars limitations together, and update the test that previously expected orcapod.uuid inside the struct. Co-Authored-By: Claude Sonnet 4.6 --- DESIGN_ISSUES.md | 30 ++++++++++------- .../extension_types/dataclass_handler.py | 33 ++++++++++++------- src/orcapod/extension_types/registry.py | 6 +++- .../test_dataclass_handler.py | 14 ++++++-- 4 files changed, 57 insertions(+), 26 deletions(-) diff --git a/DESIGN_ISSUES.md b/DESIGN_ISSUES.md index 38feb65f..d25b6833 100644 --- a/DESIGN_ISSUES.md +++ b/DESIGN_ISSUES.md @@ -1017,17 +1017,25 @@ Polars's Arrow IPC bridge handles top-level extension types via `pl.BaseExtensio path for extension types *nested inside* a struct at dtype-inference time. **Workaround:** `dataclass_handler._strip_ext_to_storage()` recursively replaces all -`pa.ExtensionType` nodes with their plain storage types before calling -`make_polars_extension_type`. The Arrow side still receives the full extension-typed struct; -only the Polars dtype computation sees the stripped version. The consequence is that the Polars -extension type for a dataclass reports downgraded inner field types (e.g. `large_binary` -instead of `orcapod.uuid`). This is invisible through the normal conversion path (all value -conversion flows through `converter.storage_to_python`), but would mislead any code that -directly introspects the Polars schema of a dataclass extension column's storage type. - -**Fix needed:** Once Polars adds support for nested extension types in its Arrow IPC bridge, -`_strip_ext_to_storage` can be removed and `make_polars_extension_type` can accept extension- -typed storage directly. Track upstream Polars issue. +`pa.ExtensionType` nodes with their plain storage types. This stripping is applied in +`DataclassHandlerFactory.create_for_python_type` when building the struct's field types — +so the stored Arrow schema (and thus the struct passed to `make_polars_extension_type` and +`pa.Table.from_pylist`) never contains nested extension types. The consequence is that the +schema for a dataclass extension column reports downgraded inner field types (e.g. +`large_binary` instead of `orcapod.uuid`). This is invisible through the normal conversion +path (all value conversion flows through `converter.storage_to_python`, which is +annotation-driven), but would mislead any code that directly introspects the raw Arrow +or Polars schema of a dataclass extension column's storage fields. + +**Also affects `pa.Table.from_pylist`:** the same restriction applies to PyArrow's +`pa.Table.from_pylist` (and `pa.array`) — neither can build an array from a struct type +whose fields are `pa.ExtensionType` nodes, for the same underlying reason. The stripping +in `create_for_python_type` fixes both issues simultaneously. + +**Fix needed:** Once PyArrow (and Polars) support nested extension types natively in struct +construction and Arrow↔Polars conversion, `_strip_ext_to_storage` can be removed from +`create_for_python_type` and `make_polars_extension_type` can accept extension-typed +storage directly. Track upstream PyArrow / Polars issues. --- diff --git a/src/orcapod/extension_types/dataclass_handler.py b/src/orcapod/extension_types/dataclass_handler.py index 6a41ae78..0e83d6a6 100644 --- a/src/orcapod/extension_types/dataclass_handler.py +++ b/src/orcapod/extension_types/dataclass_handler.py @@ -43,12 +43,19 @@ def _strip_ext_to_storage(arrow_type: "pa.DataType") -> "pa.DataType": - """Recursively strip ``pa.ExtensionType`` down to its storage type. + """Recursively strip ``pa.ExtensionType`` nodes down to plain storage types. - ``make_polars_extension_type`` computes the Polars dtype via - ``pl.from_arrow(pa.array([], type=storage_type))``, which fails when the - storage type is a struct that contains extension-typed fields. This - helper strips those extension types before the Polars conversion. + Both ``pa.Table.from_pylist`` and ``make_polars_extension_type`` fail when + a struct (or list element) contains ``pa.ExtensionType`` fields — Arrow + raises ``ArrowNotImplementedError: extension`` in both cases (see ET1 in + ``DESIGN_ISSUES.md``). This helper strips those extension types before + any such operation so that only plain scalar/binary/string types remain + inside struct fields. + + Applied at struct construction time in + ``DataclassHandlerFactory.create_for_python_type`` so that the resulting + ``storage_type`` never contains nested extension types. Value conversion + is annotation-driven (not Arrow-type-driven), so stripping is safe. Args: arrow_type: An Arrow data type, possibly containing nested extension types. @@ -117,11 +124,11 @@ def __init__( logical_name, storage_type, metadata=_metadata ) self._arrow_ext: "pa.ExtensionType | None" = None - # Strip nested extension types before deriving the Polars storage dtype. - # pl.from_arrow cannot build an empty array from a struct that contains - # Arrow extension-typed fields (e.g. orcapod.uuid inside a struct). - _polars_storage = _strip_ext_to_storage(storage_type) - self._polars_ext_class = make_polars_extension_type(logical_name, _polars_storage) + # ``storage_type`` is already stripped of nested extension types by + # ``DataclassHandlerFactory.create_for_python_type`` (see ET1 in + # DESIGN_ISSUES.md). ``make_polars_extension_type`` and + # ``pa.Table.from_pylist`` both require plain storage types inside structs. + self._polars_ext_class = make_polars_extension_type(logical_name, storage_type) self._polars_ext: "pl.BaseExtension | None" = None @property @@ -275,7 +282,11 @@ def create_for_python_type( continue annotation = hints.get(field.name, Any) arrow_type = converter.register_python_class(annotation) - arrow_fields.append(pa.field(field.name, arrow_type)) + # Strip extension types from struct field types: pa.Table.from_pylist (and + # pa.array) cannot build a struct array when a field type is a pa.ExtensionType. + # Value conversion is annotation-driven so the stripped type here is fine. + stripped_type = _strip_ext_to_storage(arrow_type) + arrow_fields.append(pa.field(field.name, stripped_type)) field_annotations.append((field.name, annotation)) storage_type = pa.struct(arrow_fields) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index c96d3de0..fefd5bfb 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -85,7 +85,11 @@ def _deserialize(cls, storage_type: pa.DataType, serialized: bytes) -> pa.Extens f"Arrow extension type '{_name}': expected storage_type " f"{_storage!r} but got {storage_type!r}." ) - if serialized != _metadata: + # Accept empty metadata: Polars does not preserve extension metadata + # when converting back to Arrow (it sends b''), so we treat b'' as a + # valid stand-in for the expected metadata. A non-empty mismatched + # value is still rejected. + if serialized and serialized != _metadata: raise ValueError( f"Arrow extension type '{_name}': expected metadata " f"{_metadata!r} but got {serialized!r}." diff --git a/tests/test_extension_types/test_dataclass_handler.py b/tests/test_extension_types/test_dataclass_handler.py index c0683fdb..48610ed2 100644 --- a/tests/test_extension_types/test_dataclass_handler.py +++ b/tests/test_extension_types/test_dataclass_handler.py @@ -196,7 +196,14 @@ def test_factory_create_flat_dataclass(): def test_factory_create_dataclass_with_uuid_field(): - """UUID field → orcapod.uuid extension type in storage struct.""" + """UUID field → plain storage type (large_binary) in the struct, not extension type. + + ``pa.Table.from_pylist`` (and Polars dtype inference) cannot handle a struct + whose fields are ``pa.ExtensionType`` nodes. ``DataclassHandlerFactory`` strips + extension types from struct field types so that Arrow array construction works. + The UUID's extension type (``orcapod.uuid``) is still registered and used for + value conversion; only the struct field schema uses the stripped storage type. + """ from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory factory = DataclassHandlerFactory() @@ -205,8 +212,9 @@ def test_factory_create_dataclass_with_uuid_field(): storage = lt.get_arrow_extension_type().storage_type id_field_type = storage.field("id").type - assert isinstance(id_field_type, pa.ExtensionType) - assert id_field_type.extension_name == "orcapod.uuid" + # Stripped to plain storage type — NOT an extension type in the struct. + assert id_field_type == pa.large_binary() + assert not isinstance(id_field_type, pa.ExtensionType) def test_factory_create_dataclass_with_list_field(): From a93868846b617fc5bdd7ce941888f3c50e4fd82b Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 18:42:58 +0000 Subject: [PATCH 118/206] fix(registry): restore strict metadata validation in _deserialize The b'' metadata relaxation added in the previous commit was based on incorrect diagnosis: Polars was dropping the outer extension metadata only because the storage struct contained nested pa.ExtensionType fields, which is now fixed. With plain storage types in the struct, Polars fully preserves the outer extension type (name, metadata bytes, storage type) in round-trips. Restore the strict metadata check and update ET1 in DESIGN_ISSUES.md to document that Polars round-trip fidelity at the outer extension type level is in fact complete once the storage struct contains only plain types. Co-Authored-By: Claude Sonnet 4.6 --- DESIGN_ISSUES.md | 5 +++++ src/orcapod/extension_types/registry.py | 6 +----- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/DESIGN_ISSUES.md b/DESIGN_ISSUES.md index d25b6833..cf2a754b 100644 --- a/DESIGN_ISSUES.md +++ b/DESIGN_ISSUES.md @@ -1032,6 +1032,11 @@ or Polars schema of a dataclass extension column's storage fields. whose fields are `pa.ExtensionType` nodes, for the same underlying reason. The stripping in `create_for_python_type` fixes both issues simultaneously. +**Polars round-trip fidelity:** once the storage struct contains only plain types (no +nested extension types), the full Arrow → Polars → Arrow round-trip for the *outermost* +extension type is faithful: extension name, metadata bytes, and storage struct are all +preserved. Only the inner field schema (already stripped) is absent. + **Fix needed:** Once PyArrow (and Polars) support nested extension types natively in struct construction and Arrow↔Polars conversion, `_strip_ext_to_storage` can be removed from `create_for_python_type` and `make_polars_extension_type` can accept extension-typed diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index fefd5bfb..c96d3de0 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -85,11 +85,7 @@ def _deserialize(cls, storage_type: pa.DataType, serialized: bytes) -> pa.Extens f"Arrow extension type '{_name}': expected storage_type " f"{_storage!r} but got {storage_type!r}." ) - # Accept empty metadata: Polars does not preserve extension metadata - # when converting back to Arrow (it sends b''), so we treat b'' as a - # valid stand-in for the expected metadata. A non-empty mismatched - # value is still rejected. - if serialized and serialized != _metadata: + if serialized != _metadata: raise ValueError( f"Arrow extension type '{_name}': expected metadata " f"{_metadata!r} but got {serialized!r}." From 2549576e0f0eedc3229f11571eaec6e349def983 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 21:53:56 +0000 Subject: [PATCH 119/206] refactor(review): address PR review comments on PLT-1705 MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Drop type_handler_registry from DataContext; expose it via BaseSemanticHasher.type_handler_registry and update get_default_type_handler_registry() accordingly - Add UniversalTypeConverter.apply_extension_types() so callers no longer need to reach into the private _logical_type_registry field - Rename DataclassHandlerFactory → DataclassLogicalTypeFactory - Fix DataclassLogicalType.python_to_storage / storage_to_python to accept TypeConverterProtocol | None and raise clearly when None - Fix _import_from_fqcn to implement a real longest-prefix module walk supporting nested classes (e.g. mod.Outer.Inner) - Fix register_storage_type to preserve Field.metadata and value_field.metadata when rebuilding struct and list types - Remove unused _extract_leaf_classes import from universal_converter - Remove string quotes from type annotations in extension_aware_database, builtin_logical_types, and dataclass_handler (from __future__ import annotations makes them unnecessary) - Add tests: nested-class FQCN import, None-converter guard on both conversion methods Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/contexts/core.py | 7 +- .../contexts/data/schemas/context_schema.json | 3 +- src/orcapod/contexts/registry.py | 2 - .../databases/extension_aware_database.py | 33 ++--- src/orcapod/extension_types/__init__.py | 6 +- .../extension_types/builtin_logical_types.py | 12 +- src/orcapod/extension_types/database_hooks.py | 4 +- .../extension_types/dataclass_handler.py | 126 +++++++++++------- src/orcapod/hashing/defaults.py | 16 ++- .../semantic_hashing/semantic_hasher.py | 5 + .../semantic_types/universal_converter.py | 51 +++++-- .../test_write_side_registration.py | 1 - .../test_dataclass_handler.py | 115 +++++++++++----- 13 files changed, 254 insertions(+), 127 deletions(-) diff --git a/src/orcapod/contexts/core.py b/src/orcapod/contexts/core.py index cbf73a6d..c02dc985 100644 --- a/src/orcapod/contexts/core.py +++ b/src/orcapod/contexts/core.py @@ -2,7 +2,6 @@ from dataclasses import dataclass -from orcapod.hashing.semantic_hashing.type_handler_registry import TypeHandlerRegistry from orcapod.protocols.hashing_protocols import ( ArrowHasherProtocol, SemanticHasherProtocol, @@ -21,8 +20,9 @@ class DataContext: type_converter: Type converter for Python ↔ Arrow conversion and registration. This is the single public API for all type operations. arrow_hasher: Arrow table hasher for this context - semantic_hasher: General semantic hasher for this context - type_handler_registry: Registry of TypeHandlerProtocol instances + semantic_hasher: General semantic hasher for this context. The + ``TypeHandlerRegistry`` used for hashing is accessible via + ``semantic_hasher.type_handler_registry``. """ context_key: str @@ -31,7 +31,6 @@ class DataContext: type_converter: TypeConverterProtocol arrow_hasher: ArrowHasherProtocol semantic_hasher: SemanticHasherProtocol - type_handler_registry: TypeHandlerRegistry class ContextValidationError(Exception): """Raised when context validation fails.""" diff --git a/src/orcapod/contexts/data/schemas/context_schema.json b/src/orcapod/contexts/data/schemas/context_schema.json index 8557bf2c..1a6ac840 100644 --- a/src/orcapod/contexts/data/schemas/context_schema.json +++ b/src/orcapod/contexts/data/schemas/context_schema.json @@ -10,8 +10,7 @@ "version", "type_converter", "arrow_hasher", - "semantic_hasher", - "type_handler_registry" + "semantic_hasher" ], "properties": { "context_key": { diff --git a/src/orcapod/contexts/registry.py b/src/orcapod/contexts/registry.py index 80182ac3..9607ed34 100644 --- a/src/orcapod/contexts/registry.py +++ b/src/orcapod/contexts/registry.py @@ -151,7 +151,6 @@ def _load_spec_file(self, json_file: Path) -> None: "type_converter", "arrow_hasher", "semantic_hasher", - "type_handler_registry", ] missing_fields = [field for field in required_fields if field not in spec] if missing_fields: @@ -300,7 +299,6 @@ def _create_context_from_spec(self, spec: dict[str, Any]) -> DataContext: type_converter=ref_lut["type_converter"], arrow_hasher=ref_lut["arrow_hasher"], semantic_hasher=ref_lut["semantic_hasher"], - type_handler_registry=ref_lut["type_handler_registry"], ) except Exception as e: diff --git a/src/orcapod/databases/extension_aware_database.py b/src/orcapod/databases/extension_aware_database.py index c8321365..ec369520 100644 --- a/src/orcapod/databases/extension_aware_database.py +++ b/src/orcapod/databases/extension_aware_database.py @@ -6,7 +6,7 @@ 1. Call ``register_discovered_extensions(converter, table.schema)`` to ensure all Arrow extension types found in the returned table's field metadata are registered with the converter. -2. Call ``apply_extension_types(table, registry)`` to re-wrap columns that +2. Call ``converter.apply_extension_types(table)`` to re-wrap columns that were loaded as plain storage types into their correct extension types. This operation is zero-copy (``pa.ExtensionArray.from_storage`` per chunk). @@ -24,10 +24,7 @@ from collections.abc import Collection, Mapping from typing import TYPE_CHECKING, Any -from orcapod.extension_types.database_hooks import ( - apply_extension_types, - register_discovered_extensions, -) +from orcapod.extension_types.database_hooks import register_discovered_extensions from orcapod.protocols.database_protocols import ArrowDatabaseProtocol if TYPE_CHECKING: @@ -45,7 +42,8 @@ class ExtensionAwareDatabase: 2. Register any newly discovered types with *converter* via ``register_discovered_extensions``. 3. Re-wrap columns that were loaded as plain storage types into their - correct Arrow extension types via ``apply_extension_types`` (zero-copy). + correct Arrow extension types via ``converter.apply_extension_types`` + (zero-copy). Write methods and ``flush`` delegate directly without modification. @@ -58,22 +56,19 @@ class ExtensionAwareDatabase: def __init__( self, db: ArrowDatabaseProtocol, - converter: "UniversalTypeConverter", + converter: UniversalTypeConverter, ) -> None: self._db = db self._converter = converter # ── Internal helper ─────────────────────────────────────────────────────── - def _process(self, table: "pa.Table | None") -> "pa.Table | None": + def _process(self, table: pa.Table | None) -> pa.Table | None: """Register extension types and re-wrap columns, or return None unchanged.""" if table is None: return None register_discovered_extensions(self._converter, table.schema) - registry = self._converter._logical_type_registry - if registry is not None: - return apply_extension_types(table, registry) - return table + return self._converter.apply_extension_types(table) # ── Read methods ────────────────────────────────────────────────────────── @@ -83,7 +78,7 @@ def get_record_by_id( record_id: bytes, record_id_column: str | None = None, flush: bool = False, - ) -> "pa.Table | None": + ) -> pa.Table | None: return self._process( self._db.get_record_by_id( record_path, @@ -97,7 +92,7 @@ def get_all_records( self, record_path: tuple[str, ...], record_id_column: str | None = None, - ) -> "pa.Table | None": + ) -> pa.Table | None: return self._process( self._db.get_all_records(record_path, record_id_column=record_id_column) ) @@ -108,7 +103,7 @@ def get_records_by_ids( record_ids: Collection[bytes], record_id_column: str | None = None, flush: bool = False, - ) -> "pa.Table | None": + ) -> pa.Table | None: return self._process( self._db.get_records_by_ids( record_path, @@ -124,7 +119,7 @@ def get_records_with_column_value( column_values: Collection[tuple[str, Any]] | Mapping[str, Any], record_id_column: str | None = None, flush: bool = False, - ) -> "pa.Table | None": + ) -> pa.Table | None: return self._process( self._db.get_records_with_column_value( record_path, @@ -140,7 +135,7 @@ def add_record( self, record_path: tuple[str, ...], record_id: bytes, - record: "pa.Table", + record: pa.Table, skip_duplicates: bool = False, flush: bool = False, ) -> None: @@ -155,7 +150,7 @@ def add_record( def add_records( self, record_path: tuple[str, ...], - records: "pa.Table", + records: pa.Table, record_id_column: str | None = None, skip_duplicates: bool = False, flush: bool = False, @@ -177,7 +172,7 @@ def flush(self) -> None: def base_path(self) -> tuple[str, ...]: return self._db.base_path - def at(self, *path_components: str) -> "ExtensionAwareDatabase": + def at(self, *path_components: str) -> ExtensionAwareDatabase: """Return a scoped view, preserving the extension-aware wrapper.""" return ExtensionAwareDatabase( self._db.at(*path_components), diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index b63fc70b..30d1e3d9 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -7,7 +7,7 @@ wired into ``DataContext`` via ``contexts/data/v0.1.json``. The logical type registry is accessible via ``get_default_context().type_converter._logical_type_registry``. -``DataclassHandlerFactory`` provides automatic registration for Python dataclasses: +``DataclassLogicalTypeFactory`` provides automatic registration for Python dataclasses: register it with a ``LogicalTypeRegistry`` and any dataclass used in a ``FunctionPod`` will be auto-registered on pod declaration. """ @@ -18,7 +18,7 @@ from .registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema from .database_hooks import apply_extension_types, register_discovered_extensions -from .dataclass_handler import DATACLASS_CATEGORY, DataclassLogicalType, DataclassHandlerFactory +from .dataclass_handler import DATACLASS_CATEGORY, DataclassLogicalType, DataclassLogicalTypeFactory __all__ = [ "LogicalTypeProtocol", @@ -36,5 +36,5 @@ # PLT-1705 "DATACLASS_CATEGORY", "DataclassLogicalType", - "DataclassHandlerFactory", + "DataclassLogicalTypeFactory", ] diff --git a/src/orcapod/extension_types/builtin_logical_types.py b/src/orcapod/extension_types/builtin_logical_types.py index a3b99a0b..7bfc23e9 100644 --- a/src/orcapod/extension_types/builtin_logical_types.py +++ b/src/orcapod/extension_types/builtin_logical_types.py @@ -83,7 +83,7 @@ def get_polars_extension_type(self) -> pl.BaseExtension: LogicalPath._polars_ext = LogicalPath._polars_ext_class() return LogicalPath._polars_ext - def python_to_storage(self, value: Any, converter: "TypeConverterProtocol | None" = None) -> str: + def python_to_storage(self, value: Any, converter: TypeConverterProtocol | None = None) -> str: """Convert a ``pathlib.Path`` to its string representation. Args: @@ -95,7 +95,7 @@ def python_to_storage(self, value: Any, converter: "TypeConverterProtocol | None """ return str(value) - def storage_to_python(self, storage_value: Any, converter: "TypeConverterProtocol | None" = None) -> pathlib.Path: + def storage_to_python(self, storage_value: Any, converter: TypeConverterProtocol | None = None) -> pathlib.Path: """Reconstruct a ``pathlib.Path`` from its string representation. Args: @@ -156,7 +156,7 @@ def get_polars_extension_type(self) -> pl.BaseExtension: LogicalUPath._polars_ext = LogicalUPath._polars_ext_class() return LogicalUPath._polars_ext - def python_to_storage(self, value: Any, converter: "TypeConverterProtocol | None" = None) -> str: + def python_to_storage(self, value: Any, converter: TypeConverterProtocol | None = None) -> str: """Convert a ``upath.UPath`` to its string representation. Args: @@ -168,7 +168,7 @@ def python_to_storage(self, value: Any, converter: "TypeConverterProtocol | None """ return str(value) - def storage_to_python(self, storage_value: Any, converter: "TypeConverterProtocol | None" = None) -> UPath: + def storage_to_python(self, storage_value: Any, converter: TypeConverterProtocol | None = None) -> UPath: """Reconstruct a ``upath.UPath`` from its string representation. Args: @@ -237,7 +237,7 @@ def get_polars_extension_type(self) -> pl.BaseExtension: LogicalUUID._polars_ext = LogicalUUID._polars_ext_class() return LogicalUUID._polars_ext - def python_to_storage(self, value: Any, converter: "TypeConverterProtocol | None" = None) -> bytes: + def python_to_storage(self, value: Any, converter: TypeConverterProtocol | None = None) -> bytes: """Convert a ``uuid.UUID`` to its 16-byte binary representation. Args: @@ -250,7 +250,7 @@ def python_to_storage(self, value: Any, converter: "TypeConverterProtocol | None """ return value.bytes - def storage_to_python(self, storage_value: Any, converter: "TypeConverterProtocol | None" = None) -> _uuid_module.UUID: + def storage_to_python(self, storage_value: Any, converter: TypeConverterProtocol | None = None) -> _uuid_module.UUID: """Reconstruct a ``uuid.UUID`` from its 16-byte binary representation. Args: diff --git a/src/orcapod/extension_types/database_hooks.py b/src/orcapod/extension_types/database_hooks.py index e6257c91..fc05315b 100644 --- a/src/orcapod/extension_types/database_hooks.py +++ b/src/orcapod/extension_types/database_hooks.py @@ -13,10 +13,10 @@ copied — each chunk is wrapped with ``pa.ExtensionArray.from_storage()``. Nested struct fields are reconstructed recursively. -These two functions are typically called in sequence: +These two functions are typically called in sequence via ``UniversalTypeConverter``: register_discovered_extensions(converter, table.schema) - table = apply_extension_types(table, converter._logical_type_registry) + table = converter.apply_extension_types(table) """ from __future__ import annotations diff --git a/src/orcapod/extension_types/dataclass_handler.py b/src/orcapod/extension_types/dataclass_handler.py index 0e83d6a6..7ef65b0f 100644 --- a/src/orcapod/extension_types/dataclass_handler.py +++ b/src/orcapod/extension_types/dataclass_handler.py @@ -1,7 +1,7 @@ -"""DataclassLogicalType and DataclassHandlerFactory. +"""DataclassLogicalType and DataclassLogicalTypeFactory. Provides the ``DataclassLogicalType`` logical type implementation and the -``DataclassHandlerFactory`` that synthesises and reconstructs ``DataclassLogicalType`` +``DataclassLogicalTypeFactory`` that synthesises and reconstructs ``DataclassLogicalType`` instances for Python dataclasses. Write path (``create_for_python_type``): @@ -42,18 +42,18 @@ DATACLASS_CATEGORY = "orcapod.dataclass" -def _strip_ext_to_storage(arrow_type: "pa.DataType") -> "pa.DataType": +def _strip_ext_to_storage(arrow_type: pa.DataType) -> pa.DataType: """Recursively strip ``pa.ExtensionType`` nodes down to plain storage types. - Both ``pa.Table.from_pylist`` and ``make_polars_extension_type`` fail when - a struct (or list element) contains ``pa.ExtensionType`` fields — Arrow + Both ``pa.array`` (used to build struct arrays) and ``make_polars_extension_type`` + fail when a struct (or list element) contains ``pa.ExtensionType`` fields — Arrow raises ``ArrowNotImplementedError: extension`` in both cases (see ET1 in ``DESIGN_ISSUES.md``). This helper strips those extension types before any such operation so that only plain scalar/binary/string types remain inside struct fields. Applied at struct construction time in - ``DataclassHandlerFactory.create_for_python_type`` so that the resulting + ``DataclassLogicalTypeFactory.create_for_python_type`` so that the resulting ``storage_type`` never contains nested extension types. Value conversion is annotation-driven (not Arrow-type-driven), so stripping is safe. @@ -111,7 +111,7 @@ def __init__( self, logical_name: str, python_type: type, - storage_type: "pa.StructType", + storage_type: pa.StructType, field_annotations: list[tuple[str, Any]], ) -> None: self._logical_name = logical_name @@ -123,13 +123,13 @@ def __init__( self._arrow_ext_class = make_arrow_extension_type( logical_name, storage_type, metadata=_metadata ) - self._arrow_ext: "pa.ExtensionType | None" = None + self._arrow_ext: pa.ExtensionType | None = None # ``storage_type`` is already stripped of nested extension types by - # ``DataclassHandlerFactory.create_for_python_type`` (see ET1 in + # ``DataclassLogicalTypeFactory.create_for_python_type`` (see ET1 in # DESIGN_ISSUES.md). ``make_polars_extension_type`` and - # ``pa.Table.from_pylist`` both require plain storage types inside structs. + # ``pa.array`` both require plain storage types inside structs. self._polars_ext_class = make_polars_extension_type(logical_name, storage_type) - self._polars_ext: "pl.BaseExtension | None" = None + self._polars_ext: pl.BaseExtension | None = None @property def logical_type_name(self) -> str: @@ -141,7 +141,7 @@ def python_type(self) -> type: """The Python dataclass type this logical type represents.""" return self._python_type - def get_arrow_extension_type(self) -> "pa.ExtensionType": + def get_arrow_extension_type(self) -> pa.ExtensionType: """Return the Arrow extension type for this dataclass. Returns: @@ -153,7 +153,7 @@ def get_arrow_extension_type(self) -> "pa.ExtensionType": self._arrow_ext = self._arrow_ext_class() return self._arrow_ext - def get_polars_extension_type(self) -> "pl.BaseExtension": + def get_polars_extension_type(self) -> pl.BaseExtension: """Return the Polars extension type for this dataclass. Returns: @@ -163,7 +163,7 @@ def get_polars_extension_type(self) -> "pl.BaseExtension": self._polars_ext = self._polars_ext_class() return self._polars_ext - def python_to_storage(self, value: Any, converter: "TypeConverterProtocol") -> dict[str, Any]: + def python_to_storage(self, value: Any, converter: TypeConverterProtocol | None) -> dict[str, Any]: """Convert a dataclass instance to an Arrow-compatible struct dict. Iterates ``_field_annotations`` and delegates each field's conversion to @@ -171,26 +171,42 @@ def python_to_storage(self, value: Any, converter: "TypeConverterProtocol") -> d Args: value: A dataclass instance of type ``python_type``. - converter: The active converter for per-field delegation. + converter: The active converter for per-field delegation. Must not be ``None``. Returns: A dict mapping field names to their Arrow storage values. + + Raises: + ValueError: If ``converter`` is ``None``. """ + if converter is None: + raise ValueError( + "DataclassLogicalType.python_to_storage requires a converter — " + "pass a TypeConverterProtocol instance for field-level conversion." + ) return { name: converter.python_to_storage(getattr(value, name), annotation) for name, annotation in self._field_annotations } - def storage_to_python(self, storage_value: Any, converter: "TypeConverterProtocol") -> Any: + def storage_to_python(self, storage_value: Any, converter: TypeConverterProtocol | None) -> Any: """Reconstruct a dataclass instance from an Arrow struct dict. Args: storage_value: A dict mapping field names to Arrow storage values. - converter: The active converter for per-field delegation. + converter: The active converter for per-field delegation. Must not be ``None``. Returns: A dataclass instance of type ``python_type``. + + Raises: + ValueError: If ``converter`` is ``None``. """ + if converter is None: + raise ValueError( + "DataclassLogicalType.storage_to_python requires a converter — " + "pass a TypeConverterProtocol instance for field-level conversion." + ) kwargs = { name: converter.storage_to_python(storage_value[name], annotation) for name, annotation in self._field_annotations @@ -198,7 +214,7 @@ def storage_to_python(self, storage_value: Any, converter: "TypeConverterProtoco return self._python_type(**kwargs) -class DataclassHandlerFactory: +class DataclassLogicalTypeFactory: """Stateless factory that synthesises and reconstructs ``DataclassLogicalType`` instances. **Write path** (``create_for_python_type``): derives Arrow struct type from the @@ -213,13 +229,13 @@ class DataclassHandlerFactory: Register with:: converter.register_logical_type_factory( - DataclassHandlerFactory(), + DataclassLogicalTypeFactory(), category="orcapod.dataclass", python_bases=[object], ) Example: - >>> factory = DataclassHandlerFactory() + >>> factory = DataclassLogicalTypeFactory() >>> factory.supports_class(MyDataclass) True >>> factory.supports_class(str) @@ -240,7 +256,7 @@ def supports_class(self, python_type: type) -> bool: def create_for_python_type( self, python_type: type, - converter: "TypeConverterProtocol", + converter: TypeConverterProtocol, ) -> DataclassLogicalType: """Synthesise a ``DataclassLogicalType`` for a Python dataclass (write path). @@ -282,23 +298,23 @@ def create_for_python_type( continue annotation = hints.get(field.name, Any) arrow_type = converter.register_python_class(annotation) - # Strip extension types from struct field types: pa.Table.from_pylist (and - # pa.array) cannot build a struct array when a field type is a pa.ExtensionType. - # Value conversion is annotation-driven so the stripped type here is fine. + # Strip extension types from struct field types: pa.array cannot build a + # struct array when a field type is a pa.ExtensionType (see ET1 in + # DESIGN_ISSUES.md). Value conversion is annotation-driven so stripping is safe. stripped_type = _strip_ext_to_storage(arrow_type) arrow_fields.append(pa.field(field.name, stripped_type)) field_annotations.append((field.name, annotation)) storage_type = pa.struct(arrow_fields) - logger.debug("DataclassHandlerFactory: synthesised %r for %r", fqcn, python_type) + logger.debug("DataclassLogicalTypeFactory: synthesised %r for %r", fqcn, python_type) return DataclassLogicalType(fqcn, python_type, storage_type, field_annotations) def reconstruct_from_arrow( self, arrow_extension_name: str, - storage_type: "pa.DataType", + storage_type: pa.DataType, metadata: dict[str, Any], - converter: "TypeConverterProtocol", + converter: TypeConverterProtocol, ) -> DataclassLogicalType: """Reconstruct a ``DataclassLogicalType`` from Arrow schema metadata (read path). @@ -324,7 +340,7 @@ def reconstruct_from_arrow( if not pa.types.is_struct(storage_type): raise ValueError( - f"DataclassHandlerFactory.reconstruct_from_arrow: expected a struct " + f"DataclassLogicalTypeFactory.reconstruct_from_arrow: expected a struct " f"storage type for {arrow_extension_name!r}, got {storage_type!r}." ) @@ -346,7 +362,7 @@ def reconstruct_from_arrow( field_annotations.append((field.name, annotation)) logger.debug( - "DataclassHandlerFactory: reconstructed %r from Arrow", arrow_extension_name + "DataclassLogicalTypeFactory: reconstructed %r from Arrow", arrow_extension_name ) return DataclassLogicalType( arrow_extension_name, cls, storage_type, field_annotations @@ -356,33 +372,49 @@ def reconstruct_from_arrow( def _import_from_fqcn(fqcn: str) -> type: """Import a class from its fully-qualified class name. - Tries module prefixes from longest to shortest. For example, for - ``"mypackage.sub.MyClass"``, tries ``importlib.import_module("mypackage.sub")`` - then ``getattr(module, "MyClass")``. + Tries module prefixes from longest to shortest, then walks the remaining + parts as attribute access. For example: + + - ``"mypackage.sub.MyClass"`` → import ``mypackage.sub``, then + ``getattr(module, "MyClass")``. + - ``"mypackage.sub.Outer.Inner"`` → import ``mypackage.sub``, then + ``getattr(module, "Outer")``, then ``getattr(Outer, "Inner")``. Args: fqcn: Fully-qualified class name, e.g. ``"mypackage.sub.MyClass"``. Returns: - The imported class. + The imported dataclass type. Raises: - ImportError: If no valid module+attribute split can be found. + ImportError: If no valid module+attribute split can be found, or if the + resolved object is not a dataclass type. """ - parts = fqcn.rsplit(".", 1) - if len(parts) != 2: + parts = fqcn.split(".") + if len(parts) < 2: raise ImportError(f"Cannot import from FQCN {fqcn!r}: no module separator found.") - module_path, class_name = parts - try: - module = importlib.import_module(module_path) - cls = getattr(module, class_name) - if not dataclasses.is_dataclass(cls) or not isinstance(cls, type): + # Try module paths from longest to shortest prefix + for i in range(len(parts) - 1, 0, -1): + module_path = ".".join(parts[:i]) + attr_parts = parts[i:] + try: + module = importlib.import_module(module_path) + except (ImportError, ModuleNotFoundError): + continue + # Walk the remaining attribute chain (handles nested classes) + obj: Any = module + try: + for attr in attr_parts: + obj = getattr(obj, attr) + except AttributeError: + continue + if not dataclasses.is_dataclass(obj) or not isinstance(obj, type): raise ImportError( - f"{class_name!r} in {module_path!r} is not a dataclass type." + f"{'.'.join(attr_parts)!r} in {module_path!r} is not a dataclass type." ) - return cls - except (ImportError, AttributeError, ModuleNotFoundError) as exc: - raise ImportError( - f"Cannot import dataclass from FQCN {fqcn!r}: {exc}" - ) from exc + return obj + + raise ImportError( + f"Cannot import dataclass from FQCN {fqcn!r}: no valid module+attribute path found." + ) diff --git a/src/orcapod/hashing/defaults.py b/src/orcapod/hashing/defaults.py index 5dd68ea7..739ba87e 100644 --- a/src/orcapod/hashing/defaults.py +++ b/src/orcapod/hashing/defaults.py @@ -16,14 +16,24 @@ def get_default_type_handler_registry() -> TypeHandlerRegistry: """ - Return the TypeHandlerRegistry from the default data context. + Return the TypeHandlerRegistry from the default data context's semantic hasher. + + The registry is owned by the active ``BaseSemanticHasher``, which is itself + versioned inside the active ``DataContext``. Returns: TypeHandlerRegistry: The type handler registry from the default data context. """ from orcapod.contexts import get_default_context - - return get_default_context().type_handler_registry + from orcapod.hashing.semantic_hashing.semantic_hasher import BaseSemanticHasher + + hasher = get_default_context().semantic_hasher + if isinstance(hasher, BaseSemanticHasher): + return hasher.type_handler_registry + raise RuntimeError( + f"get_default_type_handler_registry: expected BaseSemanticHasher, " + f"got {type(hasher).__qualname__}" + ) def get_default_semantic_hasher() -> hp.SemanticHasherProtocol: diff --git a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py index ceb13315..79714fb8 100644 --- a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py +++ b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py @@ -124,6 +124,11 @@ def hasher_id(self) -> str: def strict(self) -> bool: return self._strict + @property + def type_handler_registry(self) -> TypeHandlerRegistry: + """Return the ``TypeHandlerRegistry`` used by this hasher.""" + return self._registry + def hash_object( self, obj: Any, diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index d74c2b59..d7597b37 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -22,7 +22,6 @@ from typing import TYPE_CHECKING, Any, TypedDict, get_args, get_origin from orcapod.contexts import DataContext, resolve_context -from orcapod.extension_types.type_utils import _extract_leaf_classes from orcapod.semantic_types.type_inference import infer_python_schema_from_pylist_data from orcapod.types import DataType, Schema, SchemaLike from orcapod.utils.lazy_module import LazyModule @@ -392,28 +391,64 @@ def register_storage_type(self, arrow_type: "pa.DataType") -> "pa.DataType": resolved_storage = self.register_storage_type(arrow_type.storage_type) return self._ensure_extension_type_info(ext_name, ext_meta, resolved_storage) - # Struct type — recurse into each field + # Struct type — recurse into each field, preserving field-level metadata if pa.types.is_struct(arrow_type): resolved_fields = [] for i in range(arrow_type.num_fields): field = arrow_type.field(i) resolved_type = self.register_storage_type(field.type) - resolved_fields.append(pa.field(field.name, resolved_type, nullable=field.nullable)) + resolved_fields.append( + pa.field(field.name, resolved_type, nullable=field.nullable, metadata=field.metadata) + ) return pa.struct(resolved_fields) - # Large list type + # Large list type — preserve value field metadata (used by ARROW:extension:* channel) if pa.types.is_large_list(arrow_type): - resolved_value = self.register_storage_type(arrow_type.value_type) - return pa.large_list(resolved_value) + vf = arrow_type.value_field + resolved_value = self.register_storage_type(vf.type) + return pa.large_list( + pa.field(vf.name, resolved_value, nullable=vf.nullable, metadata=vf.metadata) + ) # List type if pa.types.is_list(arrow_type): - resolved_value = self.register_storage_type(arrow_type.value_type) - return pa.list_(resolved_value) + vf = arrow_type.value_field + resolved_value = self.register_storage_type(vf.type) + return pa.list_( + pa.field(vf.name, resolved_value, nullable=vf.nullable, metadata=vf.metadata) + ) # All other types (primitives, timestamps, binary, etc.) — return as-is return arrow_type + def apply_extension_types(self, table: "pa.Table") -> "pa.Table": + """Re-wrap *table* columns into their registered Arrow extension types. + + A convenience wrapper around the module-level ``apply_extension_types`` + function that uses this converter's own logical type registry. No-op + when the registry is absent or when the table contains no columns with + ``ARROW:extension:name`` field metadata. + + Call ``register_discovered_extensions(self, table.schema)`` first to + ensure all extension types in the schema are registered before calling + this method. + + Args: + table: Arrow table whose columns may contain ``ARROW:extension:*`` + field metadata from a Parquet/IPC read, but were loaded as plain + storage types. + + Returns: + A new ``pa.Table`` with extension-typed columns re-wrapped, or the + original *table* unchanged if no re-wrapping is needed. + """ + if self._logical_type_registry is None: + return table + from orcapod.extension_types.database_hooks import ( + apply_extension_types as _apply_ext, + ) + return _apply_ext(table, self._logical_type_registry) + def _ensure_extension_type_info( self, arrow_extension_name: str, diff --git a/tests/test_core/function_pod/test_write_side_registration.py b/tests/test_core/function_pod/test_write_side_registration.py index 198dd05d..0ce10867 100644 --- a/tests/test_core/function_pod/test_write_side_registration.py +++ b/tests/test_core/function_pod/test_write_side_registration.py @@ -45,7 +45,6 @@ def _make_test_context(registry: LogicalTypeRegistry) -> DataContext: type_converter=fresh_converter, arrow_hasher=base_ctx.arrow_hasher, semantic_hasher=base_ctx.semantic_hasher, - type_handler_registry=base_ctx.type_handler_registry, ) diff --git a/tests/test_extension_types/test_dataclass_handler.py b/tests/test_extension_types/test_dataclass_handler.py index 48610ed2..d8a8e601 100644 --- a/tests/test_extension_types/test_dataclass_handler.py +++ b/tests/test_extension_types/test_dataclass_handler.py @@ -1,4 +1,4 @@ -"""Tests for DataclassLogicalType and DataclassHandlerFactory.""" +"""Tests for DataclassLogicalType and DataclassLogicalTypeFactory.""" from __future__ import annotations @@ -122,38 +122,38 @@ class _Bar: assert lt.python_type is _Bar -# ── DataclassHandlerFactory helpers ────────────────────────────────────────── +# ── DataclassLogicalTypeFactory helpers ────────────────────────────────────────── def _make_full_converter(): - """Make a UniversalTypeConverter with builtin types + DataclassHandlerFactory.""" + """Make a UniversalTypeConverter with builtin types + DataclassLogicalTypeFactory.""" from orcapod.extension_types.builtin_logical_types import LogicalPath, LogicalUUID, LogicalUPath from orcapod.extension_types.registry import LogicalTypeRegistry - from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory, DATACLASS_CATEGORY + from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory, DATACLASS_CATEGORY from orcapod.semantic_types.universal_converter import UniversalTypeConverter registry = LogicalTypeRegistry(logical_types=[LogicalPath(), LogicalUUID(), LogicalUPath()]) - factory = DataclassHandlerFactory() + factory = DataclassLogicalTypeFactory() registry.register_logical_type_factory(factory, category=DATACLASS_CATEGORY, python_bases=[object]) return UniversalTypeConverter(logical_type_registry=registry) -# ── DataclassHandlerFactory write-path tests ───────────────────────────────── +# ── DataclassLogicalTypeFactory write-path tests ───────────────────────────────── def test_factory_supports_class_dataclass(): - from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory @dataclasses.dataclass class _Dummy: x: int - factory = DataclassHandlerFactory() + factory = DataclassLogicalTypeFactory() assert factory.supports_class(_Dummy) is True def test_factory_supports_class_non_dataclass(): - from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory - factory = DataclassHandlerFactory() + factory = DataclassLogicalTypeFactory() assert factory.supports_class(str) is False assert factory.supports_class(int) is False @@ -182,9 +182,9 @@ class _WithDict: def test_factory_create_flat_dataclass(): - from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory, DataclassLogicalType + from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory, DataclassLogicalType - factory = DataclassHandlerFactory() + factory = DataclassLogicalTypeFactory() converter = _make_full_converter() lt = factory.create_for_python_type(_Flat, converter=converter) @@ -199,14 +199,14 @@ def test_factory_create_dataclass_with_uuid_field(): """UUID field → plain storage type (large_binary) in the struct, not extension type. ``pa.Table.from_pylist`` (and Polars dtype inference) cannot handle a struct - whose fields are ``pa.ExtensionType`` nodes. ``DataclassHandlerFactory`` strips + whose fields are ``pa.ExtensionType`` nodes. ``DataclassLogicalTypeFactory`` strips extension types from struct field types so that Arrow array construction works. The UUID's extension type (``orcapod.uuid``) is still registered and used for value conversion; only the struct field schema uses the stripped storage type. """ - from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory - factory = DataclassHandlerFactory() + factory = DataclassLogicalTypeFactory() converter = _make_full_converter() lt = factory.create_for_python_type(_WithUUID, converter=converter) @@ -218,9 +218,9 @@ def test_factory_create_dataclass_with_uuid_field(): def test_factory_create_dataclass_with_list_field(): - from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory - factory = DataclassHandlerFactory() + factory = DataclassLogicalTypeFactory() converter = _make_full_converter() lt = factory.create_for_python_type(_WithList, converter=converter) @@ -230,9 +230,9 @@ def test_factory_create_dataclass_with_list_field(): def test_factory_create_dataclass_with_dict_field(): - from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory - factory = DataclassHandlerFactory() + factory = DataclassLogicalTypeFactory() converter = _make_full_converter() lt = factory.create_for_python_type(_WithDict, converter=converter) @@ -245,7 +245,7 @@ def test_factory_create_dataclass_with_dict_field(): def test_factory_rejects_local_class(): - from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory def _make_local(): @dataclasses.dataclass @@ -254,14 +254,14 @@ class _Local: return _Local LocalClass = _make_local() - factory = DataclassHandlerFactory() + factory = DataclassLogicalTypeFactory() converter = _make_full_converter() with pytest.raises(ValueError, match="local"): factory.create_for_python_type(LocalClass, converter=converter) def test_register_python_class_dispatches_to_dataclass_factory(): - """register_python_class on a dataclass triggers DataclassHandlerFactory.""" + """register_python_class on a dataclass triggers DataclassLogicalTypeFactory.""" converter = _make_full_converter() # For this test, use UUID as a proxy (already registered as built-in). @@ -290,13 +290,13 @@ class _RoundTripRecord: def test_factory_reconstruct_from_arrow(): """reconstruct_from_arrow rebuilds the logical type from the Arrow struct.""" - from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory, DataclassLogicalType + from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory, DataclassLogicalType storage = pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]) metadata = {"category": "orcapod.dataclass"} fqcn = f"{_RoundTripPoint.__module__}.{_RoundTripPoint.__qualname__}" - factory = DataclassHandlerFactory() + factory = DataclassLogicalTypeFactory() converter = _make_full_converter() lt = factory.reconstruct_from_arrow(fqcn, storage, metadata, converter=converter) @@ -307,10 +307,10 @@ def test_factory_reconstruct_from_arrow(): def test_factory_reconstruct_from_arrow_invalid_fqcn(): """ImportError if the FQCN cannot be resolved.""" - from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory storage = pa.struct([pa.field("x", pa.int64())]) - factory = DataclassHandlerFactory() + factory = DataclassLogicalTypeFactory() converter = _make_full_converter() with pytest.raises(ImportError): @@ -323,8 +323,8 @@ def test_dataclass_python_to_storage_round_trip(): """python_to_storage → storage_to_python returns an equivalent dataclass.""" converter = _make_full_converter() - from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory - factory = DataclassHandlerFactory() + from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory + factory = DataclassLogicalTypeFactory() lt = factory.create_for_python_type(_RoundTripPoint, converter=converter) converter.register_logical_type(lt) @@ -340,10 +340,10 @@ def test_dataclass_python_to_storage_round_trip(): def test_dataclass_with_uuid_round_trip(): """Round-trip a dataclass with a UUID field through python_to_storage / storage_to_python.""" - from orcapod.extension_types.dataclass_handler import DataclassHandlerFactory + from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory converter = _make_full_converter() - factory = DataclassHandlerFactory() + factory = DataclassLogicalTypeFactory() lt = factory.create_for_python_type(_RoundTripRecord, converter=converter) converter.register_logical_type(lt) @@ -359,3 +359,58 @@ def test_dataclass_with_uuid_round_trip(): assert isinstance(reconstructed, _RoundTripRecord) assert reconstructed.record_id == u assert reconstructed.label == "hello" + + +# ── _import_from_fqcn nested class tests ───────────────────────────────────── + +@dataclasses.dataclass +class _OuterForNestedTest: + """Module-level outer class for testing nested-class FQCN import.""" + + @dataclasses.dataclass + class Inner: + x: int + y: str + + +def test_import_from_fqcn_nested_class(): + """_import_from_fqcn resolves module-level nested dataclasses via attribute walk.""" + from orcapod.extension_types.dataclass_handler import _import_from_fqcn + + # _OuterForNestedTest.Inner lives in this test module; its FQCN uses '.' for nesting + module = _OuterForNestedTest.__module__ + outer_qualname = _OuterForNestedTest.__qualname__ + inner_qualname = _OuterForNestedTest.Inner.__qualname__ # e.g. "_OuterForNestedTest.Inner" + + fqcn = f"{module}.{inner_qualname}" + cls = _import_from_fqcn(fqcn) + assert cls is _OuterForNestedTest.Inner + assert dataclasses.is_dataclass(cls) + + +def test_python_to_storage_raises_when_converter_none(): + """DataclassLogicalType.python_to_storage raises ValueError when converter is None.""" + from orcapod.extension_types.dataclass_handler import DataclassLogicalType + + @dataclasses.dataclass + class _DC: + x: int + + storage = pa.struct([pa.field("x", pa.int64())]) + lt = DataclassLogicalType("mymod._DC", _DC, storage, [("x", int)]) + with pytest.raises(ValueError, match="converter"): + lt.python_to_storage(_DC(x=1), None) + + +def test_storage_to_python_raises_when_converter_none(): + """DataclassLogicalType.storage_to_python raises ValueError when converter is None.""" + from orcapod.extension_types.dataclass_handler import DataclassLogicalType + + @dataclasses.dataclass + class _DC: + x: int + + storage = pa.struct([pa.field("x", pa.int64())]) + lt = DataclassLogicalType("mymod._DC2", _DC, storage, [("x", int)]) + with pytest.raises(ValueError, match="converter"): + lt.storage_to_python({"x": 1}, None) From 09563a3abdcbccc706fd551986070f2bfdc138cc Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 16 Jun 2026 23:49:47 +0000 Subject: [PATCH 120/206] refactor(review): address eywalker review round 3 on PLT-1705 MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - ExtensionAwareDatabase: use TypeConverterProtocol instead of UniversalTypeConverter; update docstring example to avoid referencing data_context (not end-user facing) - TypeConverterProtocol: add apply_extension_types and register_arrow_extension methods - UniversalTypeConverter: rename _ensure_extension_type_info → register_arrow_extension (now public); replace self._in_progress instance state with a ContextVar (_register_in_progress) — thread-safe, coroutine-safe, and correctly propagates across factory call-backs without polluting the instance - database_hooks.register_discovered_extensions: take TypeConverterProtocol instead of UniversalTypeConverter; call converter.register_arrow_extension instead of private method - Rename dataclass_handler.py → dataclass_logical_type_factory.py (source + tests); update all imports - SemanticHasherProtocol: add type_handler_registry property; get_default_type_handler_registry simplifies to use the protocol directly without isinstance guard Co-Authored-By: Claude Sonnet 4.6 --- .../databases/extension_aware_database.py | 10 ++-- src/orcapod/extension_types/__init__.py | 2 +- src/orcapod/extension_types/database_hooks.py | 10 ++-- ...r.py => dataclass_logical_type_factory.py} | 0 src/orcapod/extension_types/protocols.py | 13 +++++ src/orcapod/extension_types/registry.py | 2 +- src/orcapod/hashing/defaults.py | 10 +--- src/orcapod/protocols/hashing_protocols.py | 6 +++ .../semantic_types/universal_converter.py | 49 ++++++++++++++++--- ...=> test_dataclass_logical_type_factory.py} | 42 ++++++++-------- 10 files changed, 94 insertions(+), 50 deletions(-) rename src/orcapod/extension_types/{dataclass_handler.py => dataclass_logical_type_factory.py} (100%) rename tests/test_extension_types/{test_dataclass_handler.py => test_dataclass_logical_type_factory.py} (86%) diff --git a/src/orcapod/databases/extension_aware_database.py b/src/orcapod/databases/extension_aware_database.py index ec369520..93a86bf2 100644 --- a/src/orcapod/databases/extension_aware_database.py +++ b/src/orcapod/databases/extension_aware_database.py @@ -15,7 +15,7 @@ Example:: db = DeltaTableDatabase("/path/to/store") - ext_db = ExtensionAwareDatabase(db, converter=data_context.type_converter) + ext_db = ExtensionAwareDatabase(db, converter=type_converter) table = ext_db.get_all_records(("results", "my_fn")) # table columns have proper extension types applied """ @@ -29,7 +29,7 @@ if TYPE_CHECKING: import pyarrow as pa - from orcapod.semantic_types.universal_converter import UniversalTypeConverter + from orcapod.extension_types.protocols import TypeConverterProtocol class ExtensionAwareDatabase: @@ -49,14 +49,14 @@ class ExtensionAwareDatabase: Args: db: Any ``ArrowDatabaseProtocol`` backend. - converter: The ``UniversalTypeConverter`` to use for registration and - lookup. Callers typically supply ``data_context.type_converter``. + converter: The ``TypeConverterProtocol`` to use for registration and + lookup. """ def __init__( self, db: ArrowDatabaseProtocol, - converter: UniversalTypeConverter, + converter: TypeConverterProtocol, ) -> None: self._db = db self._converter = converter diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index 30d1e3d9..feb2ca0e 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -18,7 +18,7 @@ from .registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema from .database_hooks import apply_extension_types, register_discovered_extensions -from .dataclass_handler import DATACLASS_CATEGORY, DataclassLogicalType, DataclassLogicalTypeFactory +from .dataclass_logical_type_factory import DATACLASS_CATEGORY, DataclassLogicalType, DataclassLogicalTypeFactory __all__ = [ "LogicalTypeProtocol", diff --git a/src/orcapod/extension_types/database_hooks.py b/src/orcapod/extension_types/database_hooks.py index fc05315b..95abb65f 100644 --- a/src/orcapod/extension_types/database_hooks.py +++ b/src/orcapod/extension_types/database_hooks.py @@ -29,26 +29,26 @@ if TYPE_CHECKING: import pyarrow as pa - from orcapod.semantic_types.universal_converter import UniversalTypeConverter + from orcapod.extension_types.protocols import TypeConverterProtocol logger = logging.getLogger(__name__) def register_discovered_extensions( - converter: "UniversalTypeConverter | None", + converter: "TypeConverterProtocol | None", schema: "pa.Schema", ) -> None: """Register any extension types found in ``schema`` that are not yet known. Walks ``schema`` recursively via ``walk_schema`` to discover all Arrow extension types at any nesting depth (both in-memory and field-metadata channels). - For each discovered type, delegates to ``converter._ensure_extension_type_info``. + For each discovered type, delegates to ``converter.register_arrow_extension``. Already-registered types are detected and skipped inside the converter — this function itself is stateless beyond the converter it operates on. Args: - converter: The ``UniversalTypeConverter`` to use for registration. + converter: The ``TypeConverterProtocol`` to use for registration. If ``None``, this call is a no-op. schema: The Arrow schema to inspect. May contain no extension types, in which case this call is a no-op. @@ -73,7 +73,7 @@ def register_discovered_extensions( for info in found: # Bottom-up resolve the storage type first, then register the extension resolved_storage = converter.register_storage_type(info.storage_type) - converter._ensure_extension_type_info( + converter.register_arrow_extension( info.extension_name, info.extension_metadata, resolved_storage, diff --git a/src/orcapod/extension_types/dataclass_handler.py b/src/orcapod/extension_types/dataclass_logical_type_factory.py similarity index 100% rename from src/orcapod/extension_types/dataclass_handler.py rename to src/orcapod/extension_types/dataclass_logical_type_factory.py diff --git a/src/orcapod/extension_types/protocols.py b/src/orcapod/extension_types/protocols.py index 15dbabed..35854a18 100644 --- a/src/orcapod/extension_types/protocols.py +++ b/src/orcapod/extension_types/protocols.py @@ -40,6 +40,19 @@ def storage_to_python(self, storage_value: Any, annotation: Any) -> Any: """Convert an Arrow storage value back to a Python object.""" ... + def apply_extension_types(self, table: "pa.Table") -> "pa.Table": + """Re-wrap table columns into their registered Arrow extension types.""" + ... + + def register_arrow_extension( + self, + arrow_extension_name: str, + extension_metadata: "bytes | None", + storage_type: "pa.DataType", + ) -> "pa.DataType": + """Register an extension type from (name, metadata, storage_type) and return the Arrow type.""" + ... + @runtime_checkable class LogicalTypeProtocol(Protocol): diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index c96d3de0..0f4e8333 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -126,7 +126,7 @@ def make_polars_extension_type( nested inside a struct or list during dtype inference. Callers that need to build a Polars extension type whose storage contains nested extension types must first strip those nodes to their plain storage types (see - ``dataclass_handler._strip_ext_to_storage``). This is tracked as design + ``dataclass_logical_type_factory._strip_ext_to_storage``). This is tracked as design issue ET1 in ``DESIGN_ISSUES.md``. Args: diff --git a/src/orcapod/hashing/defaults.py b/src/orcapod/hashing/defaults.py index 739ba87e..d00e0e3a 100644 --- a/src/orcapod/hashing/defaults.py +++ b/src/orcapod/hashing/defaults.py @@ -25,15 +25,7 @@ def get_default_type_handler_registry() -> TypeHandlerRegistry: TypeHandlerRegistry: The type handler registry from the default data context. """ from orcapod.contexts import get_default_context - from orcapod.hashing.semantic_hashing.semantic_hasher import BaseSemanticHasher - - hasher = get_default_context().semantic_hasher - if isinstance(hasher, BaseSemanticHasher): - return hasher.type_handler_registry - raise RuntimeError( - f"get_default_type_handler_registry: expected BaseSemanticHasher, " - f"got {type(hasher).__qualname__}" - ) + return get_default_context().semantic_hasher.type_handler_registry def get_default_semantic_hasher() -> hp.SemanticHasherProtocol: diff --git a/src/orcapod/protocols/hashing_protocols.py b/src/orcapod/protocols/hashing_protocols.py index 3ab2aace..e824211a 100644 --- a/src/orcapod/protocols/hashing_protocols.py +++ b/src/orcapod/protocols/hashing_protocols.py @@ -9,6 +9,7 @@ if TYPE_CHECKING: import pyarrow as pa + from orcapod.hashing.semantic_hashing.type_handler_registry import TypeHandlerRegistry @runtime_checkable @@ -216,6 +217,11 @@ def hasher_id(self) -> str: """ ... + @property + def type_handler_registry(self) -> "TypeHandlerRegistry": + """Return the TypeHandlerRegistry used by this hasher.""" + ... + class FileContentHasherProtocol(Protocol): """Protocol for file-related hashing.""" diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index d7597b37..3434f873 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -11,6 +11,7 @@ from __future__ import annotations +import contextvars import hashlib import logging import types @@ -42,6 +43,14 @@ # referencing _PYTHON_TO_ARROW_MAP directly. _PYTHON_TO_ARROW_MAP: "dict | None" = None +# Context variable for cycle detection in register_python_class. +# Using a ContextVar (rather than an instance attribute) keeps it thread-safe, +# coroutine-safe, and explicitly scoped to the active call chain without +# polluting the converter instance with temporary state. +_register_in_progress: contextvars.ContextVar[set[type] | None] = contextvars.ContextVar( + "_register_in_progress", default=None +) + def _get_python_to_arrow_map() -> dict: """Return the Python→Arrow type map, building it on first call.""" @@ -178,8 +187,6 @@ def __init__( self._python_to_arrow_types: dict[DataType, pa.DataType] = {} self._arrow_to_python_types: dict[pa.DataType, DataType] = {} - # Cycle detection for register_python_class - self._in_progress: set[type] = set() @classmethod def get_native_python_types(cls) -> frozenset[type]: @@ -228,6 +235,11 @@ def register_python_class(self, annotation: Any) -> "pa.DataType": either returns from the primitive map or registry (cache hit), or synthesises via factory and registers the result. + Cycle detection uses a ``ContextVar`` (``_register_in_progress``) rather + than instance state, so it is thread-safe, coroutine-safe, and correctly + detects cycles that cross factory call-backs (e.g. a dataclass with a + field of its own type). + Args: annotation: A Python type or generic alias (e.g. ``list[str]``, ``Optional[uuid.UUID]``, a dataclass type). @@ -240,6 +252,27 @@ def register_python_class(self, annotation: Any) -> "pa.DataType": no factory covers it, or if a circular dependency is detected. ValueError: If a complex (non-Optional) union is encountered. """ + in_progress = _register_in_progress.get() + if in_progress is None: + # Top-level call: initialize a fresh in-progress set and register it + # in the context so recursive calls (including factory call-backs) reuse it. + fresh: set[type] = set() + token = _register_in_progress.set(fresh) + try: + return self._register_python_class_impl(annotation, fresh) + finally: + _register_in_progress.reset(token) + # Nested call (direct recursion or factory call-back): reuse the existing set. + return self._register_python_class_impl(annotation, in_progress) + + def _register_python_class_impl(self, annotation: Any, in_progress: set[type]) -> "pa.DataType": + """Internal recursive implementation of ``register_python_class``. + + Args: + annotation: The annotation to resolve. + in_progress: The mutable cycle-detection set for the current call chain. + Shared across factory call-backs via ``_register_in_progress`` ContextVar. + """ import types as _types_mod type_map = _get_python_to_arrow_map() @@ -291,8 +324,8 @@ def register_python_class(self, annotation: Any) -> "pa.DataType": if lt is not None: return lt.get_arrow_extension_type() - # Cycle detection - if annotation in self._in_progress: + # Cycle detection (via the shared ContextVar-backed in_progress set) + if annotation in in_progress: raise TypeError( f"Circular type dependency detected while synthesising " f"LogicalType for {annotation!r}." @@ -307,12 +340,12 @@ def register_python_class(self, annotation: Any) -> "pa.DataType": f"python_bases=[])" ) - self._in_progress.add(annotation) + in_progress.add(annotation) try: lt = factory.create_for_python_type(annotation, converter=self) self._logical_type_registry.register_logical_type(lt) finally: - self._in_progress.discard(annotation) + in_progress.discard(annotation) return lt.get_arrow_extension_type() @@ -389,7 +422,7 @@ def register_storage_type(self, arrow_type: "pa.DataType") -> "pa.DataType": raw_meta = arrow_type.__arrow_ext_serialize__() ext_meta = raw_meta if raw_meta else None resolved_storage = self.register_storage_type(arrow_type.storage_type) - return self._ensure_extension_type_info(ext_name, ext_meta, resolved_storage) + return self.register_arrow_extension(ext_name, ext_meta, resolved_storage) # Struct type — recurse into each field, preserving field-level metadata if pa.types.is_struct(arrow_type): @@ -449,7 +482,7 @@ def apply_extension_types(self, table: "pa.Table") -> "pa.Table": ) return _apply_ext(table, self._logical_type_registry) - def _ensure_extension_type_info( + def register_arrow_extension( self, arrow_extension_name: str, extension_metadata: bytes | None, diff --git a/tests/test_extension_types/test_dataclass_handler.py b/tests/test_extension_types/test_dataclass_logical_type_factory.py similarity index 86% rename from tests/test_extension_types/test_dataclass_handler.py rename to tests/test_extension_types/test_dataclass_logical_type_factory.py index d8a8e601..b8a6b316 100644 --- a/tests/test_extension_types/test_dataclass_handler.py +++ b/tests/test_extension_types/test_dataclass_logical_type_factory.py @@ -40,12 +40,12 @@ def register_python_class(self, annotation): # ── DataclassLogicalType tests ─────────────────────────────────────────────── def test_dataclass_logical_type_is_importable(): - from orcapod.extension_types.dataclass_handler import DataclassLogicalType + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalType assert DataclassLogicalType is not None def test_dataclass_logical_type_protocol_conformance(): - from orcapod.extension_types.dataclass_handler import DataclassLogicalType + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalType from orcapod.extension_types.protocols import LogicalTypeProtocol @dataclasses.dataclass @@ -65,7 +65,7 @@ class _MyDC: def test_dataclass_logical_type_python_to_storage(): - from orcapod.extension_types.dataclass_handler import DataclassLogicalType + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalType @dataclasses.dataclass class _Point: @@ -81,7 +81,7 @@ class _Point: def test_dataclass_logical_type_storage_to_python(): - from orcapod.extension_types.dataclass_handler import DataclassLogicalType + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalType @dataclasses.dataclass class _Point: @@ -99,7 +99,7 @@ class _Point: def test_dataclass_logical_type_logical_type_name(): - from orcapod.extension_types.dataclass_handler import DataclassLogicalType + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalType @dataclasses.dataclass class _Foo: @@ -111,7 +111,7 @@ class _Foo: def test_dataclass_logical_type_python_type(): - from orcapod.extension_types.dataclass_handler import DataclassLogicalType + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalType @dataclasses.dataclass class _Bar: @@ -128,7 +128,7 @@ def _make_full_converter(): """Make a UniversalTypeConverter with builtin types + DataclassLogicalTypeFactory.""" from orcapod.extension_types.builtin_logical_types import LogicalPath, LogicalUUID, LogicalUPath from orcapod.extension_types.registry import LogicalTypeRegistry - from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory, DATACLASS_CATEGORY + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory, DATACLASS_CATEGORY from orcapod.semantic_types.universal_converter import UniversalTypeConverter registry = LogicalTypeRegistry(logical_types=[LogicalPath(), LogicalUUID(), LogicalUPath()]) @@ -140,7 +140,7 @@ def _make_full_converter(): # ── DataclassLogicalTypeFactory write-path tests ───────────────────────────────── def test_factory_supports_class_dataclass(): - from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory @dataclasses.dataclass class _Dummy: @@ -151,7 +151,7 @@ class _Dummy: def test_factory_supports_class_non_dataclass(): - from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory factory = DataclassLogicalTypeFactory() assert factory.supports_class(str) is False @@ -182,7 +182,7 @@ class _WithDict: def test_factory_create_flat_dataclass(): - from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory, DataclassLogicalType + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory, DataclassLogicalType factory = DataclassLogicalTypeFactory() converter = _make_full_converter() @@ -204,7 +204,7 @@ def test_factory_create_dataclass_with_uuid_field(): The UUID's extension type (``orcapod.uuid``) is still registered and used for value conversion; only the struct field schema uses the stripped storage type. """ - from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory factory = DataclassLogicalTypeFactory() converter = _make_full_converter() @@ -218,7 +218,7 @@ def test_factory_create_dataclass_with_uuid_field(): def test_factory_create_dataclass_with_list_field(): - from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory factory = DataclassLogicalTypeFactory() converter = _make_full_converter() @@ -230,7 +230,7 @@ def test_factory_create_dataclass_with_list_field(): def test_factory_create_dataclass_with_dict_field(): - from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory factory = DataclassLogicalTypeFactory() converter = _make_full_converter() @@ -245,7 +245,7 @@ def test_factory_create_dataclass_with_dict_field(): def test_factory_rejects_local_class(): - from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory def _make_local(): @dataclasses.dataclass @@ -290,7 +290,7 @@ class _RoundTripRecord: def test_factory_reconstruct_from_arrow(): """reconstruct_from_arrow rebuilds the logical type from the Arrow struct.""" - from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory, DataclassLogicalType + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory, DataclassLogicalType storage = pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]) metadata = {"category": "orcapod.dataclass"} @@ -307,7 +307,7 @@ def test_factory_reconstruct_from_arrow(): def test_factory_reconstruct_from_arrow_invalid_fqcn(): """ImportError if the FQCN cannot be resolved.""" - from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory storage = pa.struct([pa.field("x", pa.int64())]) factory = DataclassLogicalTypeFactory() @@ -323,7 +323,7 @@ def test_dataclass_python_to_storage_round_trip(): """python_to_storage → storage_to_python returns an equivalent dataclass.""" converter = _make_full_converter() - from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory factory = DataclassLogicalTypeFactory() lt = factory.create_for_python_type(_RoundTripPoint, converter=converter) converter.register_logical_type(lt) @@ -340,7 +340,7 @@ def test_dataclass_python_to_storage_round_trip(): def test_dataclass_with_uuid_round_trip(): """Round-trip a dataclass with a UUID field through python_to_storage / storage_to_python.""" - from orcapod.extension_types.dataclass_handler import DataclassLogicalTypeFactory + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory converter = _make_full_converter() factory = DataclassLogicalTypeFactory() @@ -375,7 +375,7 @@ class Inner: def test_import_from_fqcn_nested_class(): """_import_from_fqcn resolves module-level nested dataclasses via attribute walk.""" - from orcapod.extension_types.dataclass_handler import _import_from_fqcn + from orcapod.extension_types.dataclass_logical_type_factory import _import_from_fqcn # _OuterForNestedTest.Inner lives in this test module; its FQCN uses '.' for nesting module = _OuterForNestedTest.__module__ @@ -390,7 +390,7 @@ def test_import_from_fqcn_nested_class(): def test_python_to_storage_raises_when_converter_none(): """DataclassLogicalType.python_to_storage raises ValueError when converter is None.""" - from orcapod.extension_types.dataclass_handler import DataclassLogicalType + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalType @dataclasses.dataclass class _DC: @@ -404,7 +404,7 @@ class _DC: def test_storage_to_python_raises_when_converter_none(): """DataclassLogicalType.storage_to_python raises ValueError when converter is None.""" - from orcapod.extension_types.dataclass_handler import DataclassLogicalType + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalType @dataclasses.dataclass class _DC: From 7855dabb0d4ceebaa64660859dd9251c6c7970ba Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 00:13:20 +0000 Subject: [PATCH 121/206] fix(extension-types): address Copilot review round 4 - Add length guards for unparameterized list/set/dict in register_python_class; raises ValueError with actionable message instead of IndexError - Preserve field.metadata in _strip_ext_to_storage struct branch; use value_field (not value_type) for large_list/list branches to preserve nullable and metadata on the item field - Remove reference to private _logical_type_registry from extension_types/__init__.py docstring; point to public API methods instead Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/__init__.py | 6 ++++-- .../dataclass_logical_type_factory.py | 16 +++++++++++++--- .../semantic_types/universal_converter.py | 15 +++++++++++++++ 3 files changed, 32 insertions(+), 5 deletions(-) diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index feb2ca0e..d9fb68c0 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -4,8 +4,10 @@ between Python objects and their Arrow/Polars extension type representation. Built-in registrations (``LogicalPath``, ``LogicalUPath``, ``LogicalUUID``) are -wired into ``DataContext`` via ``contexts/data/v0.1.json``. The logical type -registry is accessible via ``get_default_context().type_converter._logical_type_registry``. +wired into ``DataContext`` via ``contexts/data/v0.1.json``. Use +``get_default_context().type_converter.register_python_class()`` to register new +types, ``register_logical_type_factory()`` to add factories, and +``apply_extension_types()`` to re-wrap Arrow tables with their registered extension types. ``DataclassLogicalTypeFactory`` provides automatic registration for Python dataclasses: register it with a ``LogicalTypeRegistry`` and any dataclass used in a ``FunctionPod`` diff --git a/src/orcapod/extension_types/dataclass_logical_type_factory.py b/src/orcapod/extension_types/dataclass_logical_type_factory.py index 7ef65b0f..524e205a 100644 --- a/src/orcapod/extension_types/dataclass_logical_type_factory.py +++ b/src/orcapod/extension_types/dataclass_logical_type_factory.py @@ -71,12 +71,22 @@ def _strip_ext_to_storage(arrow_type: pa.DataType) -> pa.DataType: for i in range(arrow_type.num_fields): field = arrow_type.field(i) stripped = _strip_ext_to_storage(field.type) - new_fields.append(pa.field(field.name, stripped, nullable=field.nullable)) + new_fields.append( + pa.field(field.name, stripped, nullable=field.nullable, metadata=field.metadata) + ) return pa.struct(new_fields) if pa.types.is_large_list(arrow_type): - return pa.large_list(_strip_ext_to_storage(arrow_type.value_type)) + vf = arrow_type.value_field + stripped = _strip_ext_to_storage(vf.type) + return pa.large_list( + pa.field(vf.name, stripped, nullable=vf.nullable, metadata=vf.metadata) + ) if pa.types.is_list(arrow_type): - return pa.list_(_strip_ext_to_storage(arrow_type.value_type)) + vf = arrow_type.value_field + stripped = _strip_ext_to_storage(vf.type) + return pa.list_( + pa.field(vf.name, stripped, nullable=vf.nullable, metadata=vf.metadata) + ) return arrow_type diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index 3434f873..2a81c38c 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -296,14 +296,29 @@ def _register_python_class_impl(self, annotation: Any, in_progress: set[type]) - # list[T] → pa.large_list(T) if origin is list: + if not args: + raise ValueError( + "Unparameterized 'list' is not supported. Use 'list[T]' with a concrete " + "element type (e.g. list[int], list[str])." + ) return pa.large_list(self.register_python_class(args[0])) # set[T] → pa.large_list(T) if origin is set: + if not args: + raise ValueError( + "Unparameterized 'set' is not supported. Use 'set[T]' with a concrete " + "element type (e.g. set[int], set[str])." + ) return pa.large_list(self.register_python_class(args[0])) # dict[K, V] → pa.large_list(struct{key: K, value: V}) if origin is dict: + if len(args) < 2: + raise ValueError( + "Unparameterized 'dict' is not supported. Use 'dict[K, V]' with concrete " + "key and value types (e.g. dict[str, int])." + ) key_arrow = self.register_python_class(args[0]) val_arrow = self.register_python_class(args[1]) return pa.large_list( From 5a8c3534814906b390494d75200afafa73d97a22 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 06:13:53 +0000 Subject: [PATCH 122/206] docs(specs): add PLT-1720 design spec for register_python_class storage-type cleanup --- ...ister-python-class-storage-type-cleanup.md | 210 ++++++++++++++++++ 1 file changed, 210 insertions(+) create mode 100644 superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md diff --git a/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md b/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md new file mode 100644 index 00000000..271bad1c --- /dev/null +++ b/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md @@ -0,0 +1,210 @@ +# PLT-1720: register_python_class storage-type cleanup + registration completeness fix + +**Date:** 2026-06-17 +**Issue:** PLT-1720 — Cleanup: register_python_class should return plain storage type, not extension type +**Branch:** `eywalker/plt-1720-cleanup-register_python_class-should-return-plain-storage` + +--- + +## Problem + +`register_python_class(annotation)` currently returns a `pa.ExtensionType` for annotations +that have a registered logical type. Callers that build Arrow struct fields must immediately +strip that extension type back to plain storage via `_strip_ext_to_storage`, because Arrow and +Polars cannot construct arrays with `pa.ExtensionType` nodes inside struct fields (ET1 in +`DESIGN_ISSUES.md`). + +This creates an API impedance mismatch: the return value of `register_python_class` cannot +be used where struct fields are needed, which is its primary call site. + +A second, related problem: `DataclassLogicalTypeFactory.reconstruct_from_arrow` (the Parquet +read path) does not call `converter.register_python_class` for its field annotations. This +means that in a fresh process, a nested dataclass (e.g. `Inner` inside `Outer`) is never +registered when reading `Outer` from Parquet. Value conversion for `Inner` then fails with +`ValueError("Unsupported Python type: Inner.")`. + +--- + +## Design invariant + +**Registration completeness**: when a logical type is registered by any path, all nested +logical types it depends on must also be registered as a consequence. + +This invariant is already met on the write path — `create_for_python_type` calls +`converter.register_python_class(annotation)` for each field, pulling in all nested types +recursively. The fix brings the read path (`reconstruct_from_arrow`) into the same +compliance, and the `register_python_class` return-type change makes the write path +self-consistent. + +Both factory methods (`create_for_python_type` and `reconstruct_from_arrow`) use +`register_python_class` as the single registration mechanism. The write path uses the +returned storage type to build struct fields; the read path discards the return value and +uses only the registration side effect. + +--- + +## Contract changes + +| Function | Before | After | +|---|---|---| +| `register_python_class(annotation)` | Returns `pa.ExtensionType` for registered classes | Returns plain `pa.DataType` (storage type) for all annotations | +| `register_storage_type(arrow_type)` | Returns resolved `pa.DataType` | Returns `None` (side-effect registration only) | +| `reconstruct_from_arrow(...)` | Does not register nested types | Calls `converter.register_python_class` per field annotation | + +`python_type_to_arrow_type(annotation)` is **unchanged** — it still returns `pa.ExtensionType` +for registered classes, used for top-level column schema via `python_schema_to_arrow_schema`. + +--- + +## Changes + +### 1. `extension_types/protocols.py` — TypeConverterProtocol + +- `register_python_class`: update docstring — "return its plain Arrow storage type" +- `register_storage_type`: change return type annotation from `pa.DataType` to `None`; + update docstring — "traverse an Arrow type bottom-up, registering extension types; + return value is None (side-effect only)" + +### 2. `semantic_types/universal_converter.py` — UniversalTypeConverter + +**`_register_python_class_impl`**: two return sites change from extension type to storage type: + +```python +# Registry hit +lt = self._logical_type_registry.get_by_python_type(annotation) +if lt is not None: + return lt.get_arrow_extension_type().storage_type # was .get_arrow_extension_type() + +# After factory dispatch +lt = factory.create_for_python_type(annotation, converter=self) +self._logical_type_registry.register_logical_type(lt) +return lt.get_arrow_extension_type().storage_type # was .get_arrow_extension_type() +``` + +All recursive calls within `_register_python_class_impl` (`list[T]`, `set[T]`, `dict[K,V]`, +`Optional[T]`) naturally propagate storage types because they recurse through +`self.register_python_class(...)`. For example: +- `list[UUID]` → `pa.large_list(pa.large_binary())` +- `dict[str, UUID]` → `pa.large_list(pa.struct([key: large_string, value: large_binary]))` +- `Optional[UUID]` → `pa.large_binary()` + +`_convert_python_to_arrow` (used by `python_type_to_arrow_type`) is not touched. + +**`register_storage_type`**: simplified from "traverse + rebuild" to "traverse + register only". +No longer rebuilds struct or list types (storage types are always plain after this change): + +```python +def register_storage_type(self, arrow_type: "pa.DataType") -> None: + if isinstance(arrow_type, pa.ExtensionType): + ext_name = arrow_type.extension_name + if self._logical_type_registry is not None: + if self._logical_type_registry.get_by_arrow_extension_name(ext_name) is not None: + return # already registered + self.register_storage_type(arrow_type.storage_type) # bottom-up first + raw_meta = arrow_type.__arrow_ext_serialize__() + self.register_arrow_extension(ext_name, raw_meta or None, arrow_type.storage_type) + return + if pa.types.is_struct(arrow_type): + for i in range(arrow_type.num_fields): + self.register_storage_type(arrow_type.field(i).type) + return + if pa.types.is_large_list(arrow_type) or pa.types.is_list(arrow_type): + self.register_storage_type(arrow_type.value_field.type) + return + # primitives: nothing to do +``` + +### 3. `extension_types/dataclass_logical_type_factory.py` + +**`_strip_ext_to_storage`**: deleted entirely (private, not exported, no longer called). + +**`create_for_python_type`**: remove the `_strip_ext_to_storage` call; use `arrow_type` directly: + +```python +arrow_type = converter.register_python_class(annotation) +# stripped_type = _strip_ext_to_storage(arrow_type) ← removed +arrow_fields.append(pa.field(field.name, arrow_type)) # arrow_type is already plain +``` + +**`reconstruct_from_arrow`**: add `converter.register_python_class(annotation)` per field +annotation to satisfy the registration completeness invariant. Return value is discarded: + +```python +for field in dataclasses.fields(cls): + if not field.init: + continue + annotation = hints.get(field.name, Any) + converter.register_python_class(annotation) # ← NEW: registers nested types + field_annotations.append((field.name, annotation)) +``` + +Trigger chain on read path: +``` +register_discovered_extensions + → converter.register_arrow_extension("mymod.Outer", ...) + → DataclassLogicalTypeFactory.reconstruct_from_arrow(...) + → converter.register_python_class(Inner) ← registers Inner + → DataclassLogicalTypeFactory.create_for_python_type(Inner, ...) +``` + +### 4. `extension_types/database_hooks.py` + +Drop the now-unused return value of `register_storage_type`; pass `info.storage_type` +directly to `register_arrow_extension` (it is always plain after this change): + +```python +converter.register_storage_type(info.storage_type) # side effects only +converter.register_arrow_extension( + info.extension_name, + info.extension_metadata, + info.storage_type, # was: resolved_storage +) +``` + +### 5. `DESIGN_ISSUES.md` + +Check whether the nested-dataclass read-path breakage is logged. If so, mark it resolved; +if not, it was an untracked bug — no new entry needed since the fix is delivered here. + +--- + +## Test changes + +### `tests/test_semantic_types/test_universal_converter.py` + +**`register_python_class` tests** (4 updates): tests that assert `isinstance(result, pa.ExtensionType)` or check extension names are updated to assert the plain storage type instead: + +| Test | Old assertion | New assertion | +|---|---|---| +| `test_register_python_class_registry_hit_path` | `isinstance(result, pa.ExtensionType)` | `result == pa.large_string()` (Path storage) | +| `test_register_python_class_uuid_registry_hit` | `isinstance(result, pa.ExtensionType)` | `result == pa.large_binary()` | +| `test_register_python_class_factory_dispatch` | `isinstance(result, pa.ExtensionType)` | storage type of the custom ext; side-effect (registry entry) verified separately | +| `test_register_python_class_factory_dispatch` second call | `result2 == result` | `result2 == result` (still holds — same storage type) | + +**`register_storage_type` tests** (7 updates): all return-value assertions replaced with: +- `assert result is None` +- side-effect assertion: type is findable in the registry (for extension type tests) + +Tests that currently verify struct/list return type shapes become side-effect-only (the +traversal still happens, just no rebuilt type is returned). + +### `tests/test_extension_types/test_dataclass_logical_type_factory.py` + +- `test_register_python_class_dispatches_to_dataclass_factory`: update assertion from + `isinstance(result, pa.ExtensionType)` to checking the plain storage type +- New test `test_reconstruct_from_arrow_registers_nested_types`: creates a two-level + dataclass hierarchy, calls `reconstruct_from_arrow` for the outer type only, then + asserts that the inner type is also present in the registry + +--- + +## What does not change + +- `python_type_to_arrow_type` — still returns extension type +- `python_schema_to_arrow_schema` — already calls `python_type_to_arrow_type` (correct) +- `register_arrow_extension` — unchanged +- All write-path value conversion (`python_to_storage`, `get_python_to_arrow_converter`) +- All read-path value conversion (`storage_to_python`, `get_arrow_to_python_converter`) +- `DataclassLogicalType` itself +- `apply_extension_types` / `database_hooks.apply_extension_types` +- All existing round-trip tests (behavior is unchanged; they continue to pass) From a1aff26134725f59d05e6ef4549d1947aa34a812 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 06:17:32 +0000 Subject: [PATCH 123/206] docs(specs): clarify registration completeness as protocol invariant, not mechanism --- ...ister-python-class-storage-type-cleanup.md | 40 +++++++++++-------- 1 file changed, 24 insertions(+), 16 deletions(-) diff --git a/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md b/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md index 271bad1c..e3ba3ddd 100644 --- a/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md +++ b/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md @@ -28,18 +28,23 @@ registered when reading `Outer` from Parquet. Value conversion for `Inner` then ## Design invariant **Registration completeness**: when a logical type is registered by any path, all nested -logical types it depends on must also be registered as a consequence. - -This invariant is already met on the write path — `create_for_python_type` calls -`converter.register_python_class(annotation)` for each field, pulling in all nested types -recursively. The fix brings the read path (`reconstruct_from_arrow`) into the same -compliance, and the `register_python_class` return-type change makes the write path -self-consistent. - -Both factory methods (`create_for_python_type` and `reconstruct_from_arrow`) use -`register_python_class` as the single registration mechanism. The write path uses the -returned storage type to build struct fields; the read path discards the return value and -uses only the registration side effect. +logical types it depends on must also be registered as a consequence. This is a contract on +`LogicalTypeFactoryProtocol`: both `create_for_python_type` and `reconstruct_from_arrow` +must leave the converter in a state where every logical type the returned `LogicalTypeProtocol` +depends on is also registered before the method returns. + +How a factory satisfies this invariant is an implementation detail and is not prescribed here. +A future factory could, for example, embed enough information in its Arrow extension metadata +to reconstruct and register all inner types directly from the metadata, without ever importing +the Python class. That would be equally valid. + +For `DataclassLogicalTypeFactory` specifically, the current implementation satisfies the +invariant by calling `converter.register_python_class(annotation)` for each field annotation +in both `create_for_python_type` (which already did this to build struct fields) and the +newly updated `reconstruct_from_arrow` (which discards the return value and uses only the +registration side effect). This is the natural choice because the dataclass field annotations +are available via `typing.get_type_hints` and `register_python_class` already handles +recursive registration correctly. --- @@ -49,7 +54,7 @@ uses only the registration side effect. |---|---|---| | `register_python_class(annotation)` | Returns `pa.ExtensionType` for registered classes | Returns plain `pa.DataType` (storage type) for all annotations | | `register_storage_type(arrow_type)` | Returns resolved `pa.DataType` | Returns `None` (side-effect registration only) | -| `reconstruct_from_arrow(...)` | Does not register nested types | Calls `converter.register_python_class` per field annotation | +| `reconstruct_from_arrow(...)` | Does not register nested types | Must ensure all nested types are registered before returning (mechanism is factory-specific) | `python_type_to_arrow_type(annotation)` is **unchanged** — it still returns `pa.ExtensionType` for registered classes, used for top-level column schema via `python_schema_to_arrow_schema`. @@ -126,8 +131,11 @@ arrow_type = converter.register_python_class(annotation) arrow_fields.append(pa.field(field.name, arrow_type)) # arrow_type is already plain ``` -**`reconstruct_from_arrow`**: add `converter.register_python_class(annotation)` per field -annotation to satisfy the registration completeness invariant. Return value is discarded: +**`reconstruct_from_arrow`** (`DataclassLogicalTypeFactory` implementation): satisfies the +registration completeness invariant by calling `converter.register_python_class(annotation)` +for each field annotation — the same mechanism the write path already uses. The return value +is discarded; only the registration side effect is needed here. This is the implementation +choice for the dataclass factory; other factories may satisfy the invariant differently. ```python for field in dataclasses.fields(cls): @@ -138,7 +146,7 @@ for field in dataclasses.fields(cls): field_annotations.append((field.name, annotation)) ``` -Trigger chain on read path: +Trigger chain on read path (for the dataclass factory): ``` register_discovered_extensions → converter.register_arrow_extension("mymod.Outer", ...) From 2f3b4dca4cab8e43fc372fc68f081f4ffb25195c Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 09:18:19 +0000 Subject: [PATCH 124/206] docs(specs): finalize PLT-1720 spec and implementation plan (storage-safe contract, nested dataclass Parquet round-trip) --- ...ister-python-class-storage-type-cleanup.md | 837 ++++++++++++++++++ ...ister-python-class-storage-type-cleanup.md | 133 ++- 2 files changed, 923 insertions(+), 47 deletions(-) create mode 100644 superpowers/plans/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md diff --git a/superpowers/plans/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md b/superpowers/plans/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md new file mode 100644 index 00000000..a6db2961 --- /dev/null +++ b/superpowers/plans/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md @@ -0,0 +1,837 @@ +# PLT-1720: register_python_class storage-type cleanup Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use sensei:subagent-driven-development (recommended) or sensei:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Make `register_python_class` and `register_storage_type` both return storage-safe Arrow types (extension type allowed at top level, no extension types nested inside struct/list fields), delete `_strip_ext_to_storage`, and fix `reconstruct_from_arrow` to register nested types so Parquet round-trips for nested dataclasses work in a fresh process. + +**Architecture:** Three coordinated changes: (1) `_register_python_class_impl` container branches strip any extension type returned by recursive calls before embedding in list/dict; (2) `register_storage_type` strips extension types from struct/list fields when rebuilding the type; (3) `DataclassLogicalTypeFactory.create_for_python_type` replaces the recursive `_strip_ext_to_storage` call with a one-liner, and `reconstruct_from_arrow` adds `converter.register_python_class(annotation)` per field to trigger nested registration. + +**Tech Stack:** Python 3.12+, PyArrow ≥ 20, `uv run pytest` + +--- + +## File map + +| File | Change | +|---|---| +| `src/orcapod/extension_types/protocols.py` | Docstring updates only | +| `src/orcapod/semantic_types/universal_converter.py` | `_register_python_class_impl` container branches; `register_storage_type` struct/list stripping | +| `src/orcapod/extension_types/dataclass_logical_type_factory.py` | Delete `_strip_ext_to_storage`; update `create_for_python_type`; update `reconstruct_from_arrow` | +| `DESIGN_ISSUES.md` | Mark ET1 in progress / update workaround note | +| `tests/test_semantic_types/test_universal_converter.py` | Fix `test_register_storage_type_nested_struct_with_extension` | +| `tests/test_extension_types/test_dataclass_logical_type_factory.py` | New tests: `test_reconstruct_from_arrow_registers_nested_types`, `test_nested_dataclass_parquet_roundtrip` | + +--- + +## Task 1: Update docstrings in protocols.py + +**Files:** +- Modify: `src/orcapod/extension_types/protocols.py:27-33` + +- [ ] **Step 1: Update `register_python_class` docstring** + +Replace lines 27–29: +```python + def register_python_class(self, annotation: Any) -> "pa.DataType": + """Traverse a Python annotation and return its Arrow type, registering as needed.""" + ... +``` +With: +```python + def register_python_class(self, annotation: Any) -> "pa.DataType": + """Traverse a Python annotation, register any logical types found, and return + the storage-safe Arrow type. + + The returned type may be a ``pa.ExtensionType`` at the top level for registered + classes (e.g. ``UUID`` → ``orcapod.uuid`` extension type), but struct fields and + list value types at any depth are always plain (non-extension) Arrow types. + + Args: + annotation: A Python type or generic alias (e.g. ``list[str]``, + ``Optional[uuid.UUID]``, a dataclass type). + + Returns: + A storage-safe ``pa.DataType``. May be ``pa.ExtensionType`` at the top level; + never contains nested extension types in struct/list fields. + """ + ... +``` + +- [ ] **Step 2: Update `register_storage_type` docstring** + +Replace lines 31–33: +```python + def register_storage_type(self, arrow_type: "pa.DataType") -> "pa.DataType": + """Traverse an Arrow type bottom-up, registering extension types, and return resolved type.""" + ... +``` +With: +```python + def register_storage_type(self, arrow_type: "pa.DataType") -> "pa.DataType": + """Traverse an Arrow type bottom-up, registering extension types, and return a + storage-safe type. + + The returned type may be a ``pa.ExtensionType`` at the top level, but struct fields + and list value types at any depth are always plain (non-extension) Arrow types. + This invariant makes the return value safe to use as a struct field or list element + type without further stripping. + + Args: + arrow_type: An Arrow type to traverse and register. + + Returns: + A storage-safe ``pa.DataType``. + """ + ... +``` + +- [ ] **Step 3: Run existing protocol tests to confirm no breakage** + +```bash +uv run pytest tests/test_extension_types/test_protocols.py -v +``` +Expected: all PASS + +- [ ] **Step 4: Commit** + +```bash +git add src/orcapod/extension_types/protocols.py +git commit -m "docs(extension-types): update register_python_class and register_storage_type docstrings for storage-safe contract" +``` + +--- + +## Task 2: Fix `register_storage_type` — strip extension types from struct/list fields + +**Files:** +- Modify: `src/orcapod/semantic_types/universal_converter.py:441-468` +- Test: `tests/test_semantic_types/test_universal_converter.py` + +The current `register_storage_type` builds new struct/list types with the recursed field types, but does **not** strip an extension type before embedding it in a struct field or list value. Under the storage-safe contract it must strip. + +- [ ] **Step 1: Write the failing test first** + +In `tests/test_semantic_types/test_universal_converter.py`, locate `test_register_storage_type_nested_struct_with_extension` (around line 931). The test currently asserts the extension type is **preserved** in the struct field. Under the new contract it must be **stripped**. Change the last two assertions: + +```python +def test_register_storage_type_nested_struct_with_extension(): + """Extension type nested inside a struct field is stripped to storage type (ET1).""" + import json + import uuid as _u + + ext_name = f"test.nested.{_u.uuid4().hex[:8]}" + category = "test.nested" + metadata = json.dumps({"category": category}).encode() + ArrowExt = make_arrow_extension_type(ext_name, pa.large_string(), metadata=metadata) + PolarsExt = make_polars_extension_type(ext_name, pa.large_string()) + + class _LT: + logical_type_name = ext_name + python_type = str + def get_arrow_extension_type(self): return ArrowExt() + def get_polars_extension_type(self): return PolarsExt() + def python_to_storage(self, v, c=None): return str(v) + def storage_to_python(self, v, c=None): return v + + class _Factory: + def supports_class(self, t): return False + def create_for_python_type(self, t, converter): pass + def reconstruct_from_arrow(self, name, storage_type, meta, converter): + return _LT() + + registry = _make_registry_with_builtins() + registry.register_logical_type_factory(_Factory(), category=category) + converter = _make_converter(registry) + + ext_instance = ArrowExt() + struct_with_ext = pa.struct([pa.field("id", pa.int64()), pa.field("tag", ext_instance)]) + result = converter.register_storage_type(struct_with_ext) + + assert pa.types.is_struct(result) + assert result.field("id").type == pa.int64() + # Storage-safe: extension type inside struct field is stripped to its storage type + assert result.field("tag").type == pa.large_string() + assert not isinstance(result.field("tag").type, pa.ExtensionType) + # Side effect: the extension type IS registered (check via registry) + assert converter._logical_type_registry.get_by_arrow_extension_name(ext_name) is not None +``` + +- [ ] **Step 2: Run the test to verify it fails** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py::test_register_storage_type_nested_struct_with_extension -v +``` +Expected: FAIL — test currently asserts `isinstance(result.field("tag").type, pa.ExtensionType)`. + +- [ ] **Step 3: Fix `register_storage_type` in `universal_converter.py`** + +Locate the struct branch (around line 443). Replace the struct and list branches: + +**Old struct branch (lines ~443–451):** +```python + # Struct type — recurse into each field, preserving field-level metadata + if pa.types.is_struct(arrow_type): + resolved_fields = [] + for i in range(arrow_type.num_fields): + field = arrow_type.field(i) + resolved_type = self.register_storage_type(field.type) + resolved_fields.append( + pa.field(field.name, resolved_type, nullable=field.nullable, metadata=field.metadata) + ) + return pa.struct(resolved_fields) +``` + +**New struct branch:** +```python + # Struct type — recurse into each field, preserving field-level metadata. + # Strip any extension type from field types before embedding (ET1: Arrow/Polars + # cannot construct arrays whose struct fields are pa.ExtensionType nodes). + if pa.types.is_struct(arrow_type): + resolved_fields = [] + for i in range(arrow_type.num_fields): + field = arrow_type.field(i) + resolved_type = self.register_storage_type(field.type) + if isinstance(resolved_type, pa.ExtensionType): + resolved_type = resolved_type.storage_type # strip: ET1 + resolved_fields.append( + pa.field(field.name, resolved_type, nullable=field.nullable, metadata=field.metadata) + ) + return pa.struct(resolved_fields) +``` + +**Old large_list branch (lines ~453–458):** +```python + # Large list type — preserve value field metadata (used by ARROW:extension:* channel) + if pa.types.is_large_list(arrow_type): + vf = arrow_type.value_field + resolved_value = self.register_storage_type(vf.type) + return pa.large_list( + pa.field(vf.name, resolved_value, nullable=vf.nullable, metadata=vf.metadata) + ) +``` + +**New large_list branch:** +```python + # Large list type — preserve value field metadata (used by ARROW:extension:* channel). + # Strip any extension type from the value type before embedding (ET1). + if pa.types.is_large_list(arrow_type): + vf = arrow_type.value_field + resolved_value = self.register_storage_type(vf.type) + if isinstance(resolved_value, pa.ExtensionType): + resolved_value = resolved_value.storage_type # strip: ET1 + return pa.large_list( + pa.field(vf.name, resolved_value, nullable=vf.nullable, metadata=vf.metadata) + ) +``` + +**Old list branch (lines ~461–466):** +```python + # List type + if pa.types.is_list(arrow_type): + vf = arrow_type.value_field + resolved_value = self.register_storage_type(vf.type) + return pa.list_( + pa.field(vf.name, resolved_value, nullable=vf.nullable, metadata=vf.metadata) + ) +``` + +**New list branch:** +```python + # List type — strip any extension type from the value type (ET1). + if pa.types.is_list(arrow_type): + vf = arrow_type.value_field + resolved_value = self.register_storage_type(vf.type) + if isinstance(resolved_value, pa.ExtensionType): + resolved_value = resolved_value.storage_type # strip: ET1 + return pa.list_( + pa.field(vf.name, resolved_value, nullable=vf.nullable, metadata=vf.metadata) + ) +``` + +- [ ] **Step 4: Run the test to verify it passes** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py::test_register_storage_type_nested_struct_with_extension -v +``` +Expected: PASS + +- [ ] **Step 5: Run the full `register_storage_type` suite** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py -k "register_storage_type" -v +``` +Expected: all PASS + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/semantic_types/universal_converter.py tests/test_semantic_types/test_universal_converter.py +git commit -m "fix(universal-converter): register_storage_type strips extension types from struct/list fields (ET1 storage-safe invariant)" +``` + +--- + +## Task 3: Fix `_register_python_class_impl` container branches — strip before embedding in list/dict + +**Files:** +- Modify: `src/orcapod/semantic_types/universal_converter.py:298-326` +- Test: `tests/test_semantic_types/test_universal_converter.py` + +Currently the list/set/dict branches call `self.register_python_class(...)` and embed the result directly in `pa.large_list(...)` or the dict struct. Since `register_python_class` may now return an extension type (e.g. `register_python_class(UUID)` → `orcapod.uuid`), the container branches must strip before embedding to maintain the storage-safe guarantee. + +Note: the registry-hit and factory-dispatch return sites (`return lt.get_arrow_extension_type()`) are **already correct** — they return the extension type directly (top-level extension is allowed). No change needed there. + +- [ ] **Step 1: Verify existing container tests pass before touching anything** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py -k "register_python_class_list or register_python_class_dict or register_python_class_set" -v +``` +Expected: PASS + +- [ ] **Step 2: Write a new failing test for `list[UUID]` stripping** + +Add at the end of the `register_python_class` block in `tests/test_semantic_types/test_universal_converter.py`: + +```python +def test_register_python_class_list_of_uuid_strips_extension(): + """list[UUID] → large_list(large_binary): UUID ext type is stripped from list value.""" + converter = _make_converter() + result = converter.register_python_class(list[_uuid_module.UUID]) + assert pa.types.is_large_list(result) + # Value type must be plain large_binary (not the orcapod.uuid extension type) + assert result.value_type == pa.large_binary() + assert not isinstance(result.value_type, pa.ExtensionType) + + +def test_register_python_class_dict_str_uuid_strips_extension(): + """dict[str, UUID] → large_list(struct{key, value}): UUID ext type is stripped from value.""" + converter = _make_converter() + result = converter.register_python_class(dict[str, _uuid_module.UUID]) + assert pa.types.is_large_list(result) + value_field = result.value_type.field("value") + assert value_field.type == pa.large_binary() + assert not isinstance(value_field.type, pa.ExtensionType) +``` + +- [ ] **Step 3: Run the new tests to verify they fail** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py::test_register_python_class_list_of_uuid_strips_extension tests/test_semantic_types/test_universal_converter.py::test_register_python_class_dict_str_uuid_strips_extension -v +``` +Expected: FAIL — UUID is currently returned as-is from `register_python_class(UUID)` (it's already an extension type); the list/dict branches embed it without stripping. + +Wait — check this. The current code at line 340 returns `lt.get_arrow_extension_type()` for UUID. Then line 304 does `pa.large_list(self.register_python_class(args[0]))` which calls `register_python_class(UUID)` → extension type → embeds in large_list. This IS a bug today. So the tests should indeed fail. + +- [ ] **Step 4: Fix the container branches in `_register_python_class_impl`** + +Locate the list, set, and dict branches (lines ~297–325). Apply stripping after each recursive `register_python_class` call before embedding in a container: + +**Old list branch (lines ~297–304):** +```python + # list[T] → pa.large_list(T) + if origin is list: + if not args: + raise ValueError( + "Unparameterized 'list' is not supported. Use 'list[T]' with a concrete " + "element type (e.g. list[int], list[str])." + ) + return pa.large_list(self.register_python_class(args[0])) +``` + +**New list branch:** +```python + # list[T] → pa.large_list(T). Strip extension type from element (ET1: extension + # types cannot be nested inside list value types). + if origin is list: + if not args: + raise ValueError( + "Unparameterized 'list' is not supported. Use 'list[T]' with a concrete " + "element type (e.g. list[int], list[str])." + ) + inner = self.register_python_class(args[0]) + if isinstance(inner, pa.ExtensionType): + inner = inner.storage_type # strip: ET1 + return pa.large_list(inner) +``` + +**Old set branch (lines ~306–313):** +```python + # set[T] → pa.large_list(T) + if origin is set: + if not args: + raise ValueError( + "Unparameterized 'set' is not supported. Use 'set[T]' with a concrete " + "element type (e.g. set[int], set[str])." + ) + return pa.large_list(self.register_python_class(args[0])) +``` + +**New set branch:** +```python + # set[T] → pa.large_list(T). Strip extension type from element (ET1). + if origin is set: + if not args: + raise ValueError( + "Unparameterized 'set' is not supported. Use 'set[T]' with a concrete " + "element type (e.g. set[int], set[str])." + ) + inner = self.register_python_class(args[0]) + if isinstance(inner, pa.ExtensionType): + inner = inner.storage_type # strip: ET1 + return pa.large_list(inner) +``` + +**Old dict branch (lines ~315–325):** +```python + # dict[K, V] → pa.large_list(struct{key: K, value: V}) + if origin is dict: + if len(args) < 2: + raise ValueError( + "Unparameterized 'dict' is not supported. Use 'dict[K, V]' with concrete " + "key and value types (e.g. dict[str, int])." + ) + key_arrow = self.register_python_class(args[0]) + val_arrow = self.register_python_class(args[1]) + return pa.large_list( + pa.struct([pa.field("key", key_arrow), pa.field("value", val_arrow)]) + ) +``` + +**New dict branch:** +```python + # dict[K, V] → pa.large_list(struct{key: K, value: V}). + # Strip extension types from key and value before embedding in the struct (ET1). + if origin is dict: + if len(args) < 2: + raise ValueError( + "Unparameterized 'dict' is not supported. Use 'dict[K, V]' with concrete " + "key and value types (e.g. dict[str, int])." + ) + key_arrow = self.register_python_class(args[0]) + if isinstance(key_arrow, pa.ExtensionType): + key_arrow = key_arrow.storage_type # strip: ET1 + val_arrow = self.register_python_class(args[1]) + if isinstance(val_arrow, pa.ExtensionType): + val_arrow = val_arrow.storage_type # strip: ET1 + return pa.large_list( + pa.struct([pa.field("key", key_arrow), pa.field("value", val_arrow)]) + ) +``` + +- [ ] **Step 5: Run the new tests to verify they pass** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py::test_register_python_class_list_of_uuid_strips_extension tests/test_semantic_types/test_universal_converter.py::test_register_python_class_dict_str_uuid_strips_extension -v +``` +Expected: PASS + +- [ ] **Step 6: Run the full `register_python_class` suite** + +```bash +uv run pytest tests/test_semantic_types/test_universal_converter.py -k "register_python_class" -v +``` +Expected: all PASS + +- [ ] **Step 7: Commit** + +```bash +git add src/orcapod/semantic_types/universal_converter.py tests/test_semantic_types/test_universal_converter.py +git commit -m "fix(universal-converter): strip extension types from list/dict container element types in register_python_class (ET1)" +``` + +--- + +## Task 4: Delete `_strip_ext_to_storage` and update `create_for_python_type` + +**Files:** +- Modify: `src/orcapod/extension_types/dataclass_logical_type_factory.py:45-315` +- Test: `tests/test_extension_types/test_dataclass_logical_type_factory.py` + +`_strip_ext_to_storage` (lines 45–90) is now redundant: `register_python_class` already returns a storage-safe type (no nested extension types). The `create_for_python_type` method should replace the recursive `_strip_ext_to_storage(arrow_type)` call with a one-liner strip. + +- [ ] **Step 1: Verify the dataclass factory write-path tests pass before touching anything** + +```bash +uv run pytest tests/test_extension_types/test_dataclass_logical_type_factory.py -v +``` +Expected: all PASS + +- [ ] **Step 2: Delete `_strip_ext_to_storage` and update `create_for_python_type`** + +In `src/orcapod/extension_types/dataclass_logical_type_factory.py`: + +**Delete** the entire `_strip_ext_to_storage` function (lines 45–90, inclusive of docstring). + +**Old block in `create_for_python_type` (lines ~310–315):** +```python + annotation = hints.get(field.name, Any) + arrow_type = converter.register_python_class(annotation) + # Strip extension types from struct field types: pa.array cannot build a + # struct array when a field type is a pa.ExtensionType (see ET1 in + # DESIGN_ISSUES.md). Value conversion is annotation-driven so stripping is safe. + stripped_type = _strip_ext_to_storage(arrow_type) + arrow_fields.append(pa.field(field.name, stripped_type)) +``` + +**New block:** +```python + annotation = hints.get(field.name, Any) + arrow_type = converter.register_python_class(annotation) + # register_python_class returns a storage-safe type: may be extension at the + # top level, but struct fields are always plain. Strip the top-level extension + # type here before inserting into the struct (ET1; see DESIGN_ISSUES.md). + if isinstance(arrow_type, pa.ExtensionType): + arrow_type = arrow_type.storage_type + arrow_fields.append(pa.field(field.name, arrow_type)) +``` + +Also update the comment in `DataclassLogicalType.__init__` (lines ~138–141) that references `_strip_ext_to_storage`: + +**Old:** +```python + # ``storage_type`` is already stripped of nested extension types by + # ``DataclassLogicalTypeFactory.create_for_python_type`` (see ET1 in + # DESIGN_ISSUES.md). ``make_polars_extension_type`` and + # ``pa.array`` both require plain storage types inside structs. +``` + +**New:** +```python + # ``storage_type`` must not contain nested extension types (ET1 in DESIGN_ISSUES.md). + # ``DataclassLogicalTypeFactory.create_for_python_type`` and ``reconstruct_from_arrow`` + # both guarantee this by stripping any top-level extension type from each field's + # Arrow type before inserting it into the struct. +``` + +- [ ] **Step 3: Run the dataclass factory write-path tests to verify they still pass** + +```bash +uv run pytest tests/test_extension_types/test_dataclass_logical_type_factory.py -v +``` +Expected: all PASS + +- [ ] **Step 4: Commit** + +```bash +git add src/orcapod/extension_types/dataclass_logical_type_factory.py +git commit -m "refactor(dataclass-factory): delete _strip_ext_to_storage, replace with one-liner in create_for_python_type" +``` + +--- + +## Task 5: Fix `reconstruct_from_arrow` — register nested types (read-path completeness fix) + +**Files:** +- Modify: `src/orcapod/extension_types/dataclass_logical_type_factory.py:367-372` +- Test: `tests/test_extension_types/test_dataclass_logical_type_factory.py` + +`reconstruct_from_arrow` currently builds `field_annotations` but never calls `converter.register_python_class` for each annotation. This means nested dataclass types (e.g. `Inner` inside `Outer`) are never registered on the read path, causing `ValueError("Unsupported Python type: Inner.")` in a fresh process. + +- [ ] **Step 1: Write the failing test** + +Add `test_reconstruct_from_arrow_registers_nested_types` to `tests/test_extension_types/test_dataclass_logical_type_factory.py`. This test requires module-level dataclasses. Add them after the existing module-level dataclass definitions (around line 177), before the "DataclassLogicalTypeFactory write-path tests" section: + +```python +@dataclasses.dataclass +class _InnerForRegistrationTest: + """Module-level inner dataclass for registration completeness test.""" + value: int + + +@dataclasses.dataclass +class _OuterForRegistrationTest: + """Module-level outer dataclass for registration completeness test.""" + inner: _InnerForRegistrationTest + label: str +``` + +Then add the test: + +```python +def test_reconstruct_from_arrow_registers_nested_types(): + """reconstruct_from_arrow for Outer must register Inner as a side effect.""" + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory + + # Build the storage type for _OuterForRegistrationTest manually (as it would come + # from Parquet): outer struct with an inner struct field (Inner is stored as a struct, + # NOT as an extension type inside the struct field — that's the ET1 constraint). + inner_storage = pa.struct([pa.field("value", pa.int64())]) + outer_storage = pa.struct([ + pa.field("inner", inner_storage), + pa.field("label", pa.large_string()), + ]) + outer_fqcn = f"{_OuterForRegistrationTest.__module__}.{_OuterForRegistrationTest.__qualname__}" + inner_fqcn = f"{_InnerForRegistrationTest.__module__}.{_InnerForRegistrationTest.__qualname__}" + + factory = DataclassLogicalTypeFactory() + converter = _make_full_converter() + + # Inner is NOT pre-registered + assert converter._logical_type_registry.get_by_python_type(_InnerForRegistrationTest) is None + + # reconstruct_from_arrow for Outer should trigger registration of Inner as a side effect + lt = factory.reconstruct_from_arrow(outer_fqcn, outer_storage, {"category": "orcapod.dataclass"}, converter) + + # Inner must now be registered + assert converter._logical_type_registry.get_by_python_type(_InnerForRegistrationTest) is not None +``` + +- [ ] **Step 2: Run the test to verify it fails** + +```bash +uv run pytest "tests/test_extension_types/test_dataclass_logical_type_factory.py::test_reconstruct_from_arrow_registers_nested_types" -v +``` +Expected: FAIL — `_InnerForRegistrationTest` is not registered after `reconstruct_from_arrow`. + +- [ ] **Step 3: Fix `reconstruct_from_arrow` in `dataclass_logical_type_factory.py`** + +Locate the field-iteration loop inside `reconstruct_from_arrow` (around line 367): + +**Old:** +```python + field_annotations = [] + for field in dataclasses.fields(cls): + if not field.init: + continue + annotation = hints.get(field.name, Any) + field_annotations.append((field.name, annotation)) +``` + +**New:** +```python + field_annotations = [] + for field in dataclasses.fields(cls): + if not field.init: + continue + annotation = hints.get(field.name, Any) + # Register any logical type the field annotation maps to (registration + # completeness invariant: all nested logical types must be registered when + # the outer type is registered). The return value is discarded; only the + # side effect of registration matters here. + converter.register_python_class(annotation) + field_annotations.append((field.name, annotation)) +``` + +- [ ] **Step 4: Run the test to verify it passes** + +```bash +uv run pytest "tests/test_extension_types/test_dataclass_logical_type_factory.py::test_reconstruct_from_arrow_registers_nested_types" -v +``` +Expected: PASS + +- [ ] **Step 5: Run the full dataclass factory test suite** + +```bash +uv run pytest tests/test_extension_types/test_dataclass_logical_type_factory.py -v +``` +Expected: all PASS + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/extension_types/dataclass_logical_type_factory.py tests/test_extension_types/test_dataclass_logical_type_factory.py +git commit -m "fix(dataclass-factory): reconstruct_from_arrow registers nested types (registration completeness invariant)" +``` + +--- + +## Task 6: Add Parquet round-trip test for nested dataclasses + +**Files:** +- Test: `tests/test_extension_types/test_dataclass_logical_type_factory.py` + +This test exercises the full fresh-process read path: write a nested dataclass to Parquet, read it back in a converter that has never seen the inner or outer type, call `register_discovered_extensions` + `apply_extension_types`, then convert back to Python. This is the end-to-end regression test for the bug fixed in Task 5. + +The two module-level dataclasses needed (`_InnerForRegistrationTest`, `_OuterForRegistrationTest`) were already added in Task 5. + +- [ ] **Step 1: Write the test** + +Add `test_nested_dataclass_parquet_roundtrip` to `tests/test_extension_types/test_dataclass_logical_type_factory.py`: + +```python +def test_nested_dataclass_parquet_roundtrip(tmp_path): + """Fresh-process Parquet round-trip for a two-level nested dataclass. + + Verifies that register_discovered_extensions triggers the chain: + register_arrow_extension("Outer") → reconstruct_from_arrow + → register_python_class(Inner) → registers Inner + so that storage_to_python can reconstruct the full nested object. + """ + import pyarrow.parquet as pq + from orcapod.extension_types.database_hooks import register_discovered_extensions, apply_extension_types + + # ── Write path ─────────────────────────────────────────────────────────── + write_converter = _make_full_converter() + + inner = _InnerForRegistrationTest(value=42) + outer = _OuterForRegistrationTest(inner=inner, label="hello") + + # Register Outer (which also registers Inner via create_for_python_type) + write_converter.register_python_class(_OuterForRegistrationTest) + + # Serialize to Arrow using python_schema_to_arrow_schema + python_dicts_to_arrow_table + outer_fqcn = f"{_OuterForRegistrationTest.__module__}.{_OuterForRegistrationTest.__qualname__}" + arrow_schema = write_converter.python_schema_to_arrow_schema({"item": _OuterForRegistrationTest}) + rows = [{"item": write_converter.python_to_storage(outer, _OuterForRegistrationTest)}] + table = write_converter.python_dicts_to_arrow_table(rows, arrow_schema=arrow_schema) + + parquet_path = tmp_path / "nested.parquet" + pq.write_table(table, parquet_path) + + # ── Read path (fresh converter — neither Inner nor Outer pre-registered) ── + read_converter = _make_full_converter() + read_table = pq.read_table(parquet_path) + + # register_discovered_extensions should trigger: Outer → reconstruct_from_arrow + # → register_python_class(Inner) → registers Inner + register_discovered_extensions(read_converter, read_table.schema) + read_table = apply_extension_types(read_table, read_converter._logical_type_registry) + + # Both types must now be registered + assert read_converter._logical_type_registry.get_by_python_type(_OuterForRegistrationTest) is not None + assert read_converter._logical_type_registry.get_by_python_type(_InnerForRegistrationTest) is not None + + # Convert back to Python + rows_out = read_converter.arrow_table_to_python_dicts(read_table) + assert len(rows_out) == 1 + reconstructed = rows_out[0]["item"] + assert isinstance(reconstructed, _OuterForRegistrationTest) + assert isinstance(reconstructed.inner, _InnerForRegistrationTest) + assert reconstructed.inner.value == 42 + assert reconstructed.label == "hello" +``` + +- [ ] **Step 2: Run the test to verify it fails before the fix is in place** + +(This test should already pass since Task 5 fixed `reconstruct_from_arrow`. If running Tasks in order, it will pass. Run it now to confirm.) + +```bash +uv run pytest "tests/test_extension_types/test_dataclass_logical_type_factory.py::test_nested_dataclass_parquet_roundtrip" -v +``` +Expected: PASS (Task 5 already made this possible). + +- [ ] **Step 3: Run the full dataclass factory test suite to confirm no regressions** + +```bash +uv run pytest tests/test_extension_types/test_dataclass_logical_type_factory.py -v +``` +Expected: all PASS + +- [ ] **Step 4: Commit** + +```bash +git add tests/test_extension_types/test_dataclass_logical_type_factory.py +git commit -m "test(dataclass-factory): add Parquet round-trip test for nested dataclasses" +``` + +--- + +## Task 7: Update `DESIGN_ISSUES.md` — mark ET1 workaround updated + +**Files:** +- Modify: `DESIGN_ISSUES.md` (ET1 entry, around line 1003) + +- [ ] **Step 1: Update ET1** + +Find the ET1 entry. The **Workaround** section currently references `dataclass_handler._strip_ext_to_storage()`. Update it to reflect that `_strip_ext_to_storage` is gone, replaced by the storage-safe contract on `register_python_class` and `register_storage_type`. + +Replace the **Workaround** paragraph in ET1: + +**Old:** +``` +**Workaround:** `dataclass_handler._strip_ext_to_storage()` recursively replaces all +`pa.ExtensionType` nodes with their plain storage types. This stripping is applied in +`DataclassHandlerFactory.create_for_python_type` when building the struct's field types — +so the stored Arrow schema (and thus the struct passed to `make_polars_extension_type` and +`pa.Table.from_pylist`) never contains nested extension types. The consequence is that the +schema for a dataclass extension column reports downgraded inner field types (e.g. +`large_binary` instead of `orcapod.uuid`). This is invisible through the normal conversion +path (all value conversion flows through `converter.storage_to_python`, which is +annotation-driven), but would mislead any code that directly introspects the raw Arrow +or Polars schema of a dataclass extension column's storage fields. + +**Also affects `pa.Table.from_pylist`:** the same restriction applies to PyArrow's +`pa.Table.from_pylist` (and `pa.array`) — neither can build an array from a struct type +whose fields are `pa.ExtensionType` nodes, for the same underlying reason. The stripping +in `create_for_python_type` fixes both issues simultaneously. +``` + +**New:** +``` +**Workaround:** `register_python_class` and `register_storage_type` both uphold a +*storage-safe* invariant: the returned type may be a `pa.ExtensionType` at the top level, +but struct fields and list value types at any depth are always plain (non-extension) types. +`DataclassLogicalTypeFactory.create_for_python_type` strips the top-level extension type +with a one-liner (`if isinstance(arrow_type, pa.ExtensionType): arrow_type = arrow_type.storage_type`) +before inserting it into the struct, so the struct passed to `make_polars_extension_type` +and `pa.Table.from_pylist` never contains nested extension types. The private +`_strip_ext_to_storage` recursive helper was removed in PLT-1720; the stripping is now +trivially correct because the storage-safe invariant guarantees `.storage_type` is always +already clean. + +**Also affects `pa.Table.from_pylist`:** the same restriction applies to PyArrow's +`pa.Table.from_pylist` (and `pa.array`) — neither can build an array from a struct type +whose fields are `pa.ExtensionType` nodes, for the same underlying reason. The stripping +in `create_for_python_type` fixes both issues simultaneously. +``` + +- [ ] **Step 2: Run the full test suite** + +```bash +uv run pytest tests/ -x -q +``` +Expected: all PASS + +- [ ] **Step 3: Commit** + +```bash +git add DESIGN_ISSUES.md +git commit -m "docs(design-issues): update ET1 workaround note to reflect removal of _strip_ext_to_storage (PLT-1720)" +``` + +--- + +## Task 8: Final verification and push + +- [ ] **Step 1: Run the complete test suite** + +```bash +uv run pytest tests/ -q +``` +Expected: all PASS, no failures, no errors + +- [ ] **Step 2: Verify the branch is on the right base** + +```bash +git log --oneline extension-type-system..HEAD +``` +Expected: 7 commits (Tasks 1–7), all on top of `extension-type-system`. + +- [ ] **Step 3: Push the branch** + +```bash +git push -u origin eywalker/plt-1720-cleanup-register_python_class-should-return-plain-storage +``` + +--- + +## Self-review checklist + +**Spec coverage:** +- ✅ `register_python_class` container branches strip extension types (Task 3) +- ✅ `register_storage_type` strips extension types from struct/list fields (Task 2) +- ✅ `_strip_ext_to_storage` deleted (Task 4) +- ✅ `create_for_python_type` uses one-liner strip (Task 4) +- ✅ `reconstruct_from_arrow` calls `register_python_class` per field (Task 5) +- ✅ Protocol docstrings updated (Task 1) +- ✅ `DESIGN_ISSUES.md` ET1 updated (Task 7) +- ✅ `test_register_storage_type_nested_struct_with_extension` updated (Task 2) +- ✅ `test_register_python_class_list_of_uuid_strips_extension` added (Task 3) +- ✅ `test_reconstruct_from_arrow_registers_nested_types` added (Task 5) +- ✅ `test_nested_dataclass_parquet_roundtrip` added (Task 6) +- ✅ `database_hooks.py` unchanged (no task needed — already uses `register_storage_type` return value) +- ✅ Existing `register_python_class` tests (`_registry_hit_path`, `_uuid_registry_hit`, `_factory_dispatch`) — these already assert `isinstance(result, pa.ExtensionType)`, which is still correct under the storage-safe contract. No updates needed. + +**Type consistency:** All references to `register_python_class`, `register_storage_type`, `_strip_ext_to_storage`, `create_for_python_type`, and `reconstruct_from_arrow` use the same names as in the source files. + +**No placeholders:** Every step has explicit code or commands. diff --git a/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md b/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md index e3ba3ddd..48666ddd 100644 --- a/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md +++ b/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md @@ -52,8 +52,8 @@ recursive registration correctly. | Function | Before | After | |---|---|---| -| `register_python_class(annotation)` | Returns `pa.ExtensionType` for registered classes | Returns plain `pa.DataType` (storage type) for all annotations | -| `register_storage_type(arrow_type)` | Returns resolved `pa.DataType` | Returns `None` (side-effect registration only) | +| `register_python_class(annotation)` | Returns `pa.ExtensionType` for registered classes; may return extension types nested inside struct/list fields | Returns storage-safe `pa.DataType`: may be extension type at the top level for registered types, but struct/list fields always contain plain (non-extension) types at every depth | +| `register_storage_type(arrow_type)` | Returns `pa.DataType`; may return extension types nested inside struct/list fields | Returns storage-safe `pa.DataType`: may be extension type at the top level, but struct/list fields always contain plain (non-extension) types at every depth | | `reconstruct_from_arrow(...)` | Does not register nested types | Must ensure all nested types are registered before returning (mechanism is factory-specific) | `python_type_to_arrow_type(annotation)` is **unchanged** — it still returns `pa.ExtensionType` @@ -65,70 +65,98 @@ for registered classes, used for top-level column schema via `python_schema_to_a ### 1. `extension_types/protocols.py` — TypeConverterProtocol -- `register_python_class`: update docstring — "return its plain Arrow storage type" -- `register_storage_type`: change return type annotation from `pa.DataType` to `None`; - update docstring — "traverse an Arrow type bottom-up, registering extension types; - return value is None (side-effect only)" +- `register_python_class`: update docstring — "return the storage-safe Arrow type: may be + extension type at the top level for registered types, but struct/list fields are always plain" +- `register_storage_type`: update docstring — "traverse an Arrow type bottom-up, + registering any extension types encountered; return a storage-safe ``pa.DataType`` + (may be extension type at the top level, but struct/list fields contain only plain types)" ### 2. `semantic_types/universal_converter.py` — UniversalTypeConverter -**`_register_python_class_impl`**: two return sites change from extension type to storage type: +**`_register_python_class_impl`**: the two return sites that previously returned the extension +type now return it unchanged (no `.storage_type` strip). The storage-safe guarantee is satisfied +at the top level because `DataclassLogicalType` and other factories always build their struct +storage with plain field types: ```python -# Registry hit +# Registry hit — return ext type directly (already storage-safe by factory invariant) lt = self._logical_type_registry.get_by_python_type(annotation) if lt is not None: - return lt.get_arrow_extension_type().storage_type # was .get_arrow_extension_type() + return lt.get_arrow_extension_type() # unchanged from current behaviour -# After factory dispatch +# After factory dispatch — same lt = factory.create_for_python_type(annotation, converter=self) self._logical_type_registry.register_logical_type(lt) -return lt.get_arrow_extension_type().storage_type # was .get_arrow_extension_type() +return lt.get_arrow_extension_type() # unchanged from current behaviour ``` -All recursive calls within `_register_python_class_impl` (`list[T]`, `set[T]`, `dict[K,V]`, -`Optional[T]`) naturally propagate storage types because they recurse through -`self.register_python_class(...)`. For example: +The container branches (`list[T]`, `set[T]`, `dict[K,V]`, `Optional[T]`) recurse through +`self.register_python_class(...)` and receive a potentially extension-typed result. They strip +it to `.storage_type` before embedding it in a list value or struct field — a trivial one-liner +that replaces the old recursive `_strip_ext_to_storage` helper: + +```python +# list[T] branch (illustrative) +inner = self.register_python_class(inner_type) +if isinstance(inner, pa.ExtensionType): + inner = inner.storage_type # strip: cannot nest ext inside list value type +return pa.large_list(inner) +``` + +End-to-end examples (identical to current spec — stripping in container branches is unchanged): - `list[UUID]` → `pa.large_list(pa.large_binary())` - `dict[str, UUID]` → `pa.large_list(pa.struct([key: large_string, value: large_binary]))` - `Optional[UUID]` → `pa.large_binary()` +- `UUID` directly → `orcapod.uuid` extension type (top-level; storage is `pa.large_binary()`) `_convert_python_to_arrow` (used by `python_type_to_arrow_type`) is not touched. -**`register_storage_type`**: simplified from "traverse + rebuild" to "traverse + register only". -No longer rebuilds struct or list types (storage types are always plain after this change): +**`register_storage_type`**: updated from "traverse + rebuild (may preserve nested extension types)" to "traverse + rebuild with storage-safe guarantee (strip extension types from struct/list fields)": ```python -def register_storage_type(self, arrow_type: "pa.DataType") -> None: +def register_storage_type(self, arrow_type: "pa.DataType") -> "pa.DataType": if isinstance(arrow_type, pa.ExtensionType): ext_name = arrow_type.extension_name if self._logical_type_registry is not None: if self._logical_type_registry.get_by_arrow_extension_name(ext_name) is not None: - return # already registered + lt = self._logical_type_registry.get_by_arrow_extension_name(ext_name) + return lt.get_arrow_extension_type() # already registered, return ext type self.register_storage_type(arrow_type.storage_type) # bottom-up first raw_meta = arrow_type.__arrow_ext_serialize__() - self.register_arrow_extension(ext_name, raw_meta or None, arrow_type.storage_type) - return + return self.register_arrow_extension(ext_name, raw_meta or None, arrow_type.storage_type) if pa.types.is_struct(arrow_type): + resolved_fields = [] for i in range(arrow_type.num_fields): - self.register_storage_type(arrow_type.field(i).type) - return + field = arrow_type.field(i) + resolved = self.register_storage_type(field.type) + if isinstance(resolved, pa.ExtensionType): + resolved = resolved.storage_type # strip: ET1 forbids ext inside struct fields + resolved_fields.append(pa.field(field.name, resolved, nullable=field.nullable, metadata=field.metadata)) + return pa.struct(resolved_fields) if pa.types.is_large_list(arrow_type) or pa.types.is_list(arrow_type): - self.register_storage_type(arrow_type.value_field.type) - return - # primitives: nothing to do + vf = arrow_type.value_field + resolved = self.register_storage_type(vf.type) + if isinstance(resolved, pa.ExtensionType): + resolved = resolved.storage_type # strip: ET1 forbids ext inside list value type + return pa.large_list(pa.field(vf.name, resolved, nullable=vf.nullable, metadata=vf.metadata)) + return arrow_type # primitives: return unchanged ``` +The storage-safe guarantee: a top-level extension type may be returned (the caller can use it as a column type), but any struct or list the returned type contains will never have extension type nodes in their fields/value types. + ### 3. `extension_types/dataclass_logical_type_factory.py` **`_strip_ext_to_storage`**: deleted entirely (private, not exported, no longer called). -**`create_for_python_type`**: remove the `_strip_ext_to_storage` call; use `arrow_type` directly: +**`create_for_python_type`**: replace the recursive `_strip_ext_to_storage` call with a trivial +one-liner that strips only the top-level extension type (the storage-safe guarantee from +`register_python_class` ensures `.storage_type` is always clean — no further recursion needed): ```python arrow_type = converter.register_python_class(annotation) -# stripped_type = _strip_ext_to_storage(arrow_type) ← removed -arrow_fields.append(pa.field(field.name, arrow_type)) # arrow_type is already plain +if isinstance(arrow_type, pa.ExtensionType): + arrow_type = arrow_type.storage_type # strip top-level ext for struct field (ET1) +arrow_fields.append(pa.field(field.name, arrow_type)) ``` **`reconstruct_from_arrow`** (`DataclassLogicalTypeFactory` implementation): satisfies the @@ -157,18 +185,22 @@ register_discovered_extensions ### 4. `extension_types/database_hooks.py` -Drop the now-unused return value of `register_storage_type`; pass `info.storage_type` -directly to `register_arrow_extension` (it is always plain after this change): +**No change.** `register_storage_type` still returns a meaningful `pa.DataType`, and +`database_hooks.py` already passes that resolved value into `register_arrow_extension`: ```python -converter.register_storage_type(info.storage_type) # side effects only +resolved_storage = converter.register_storage_type(info.storage_type) converter.register_arrow_extension( info.extension_name, info.extension_metadata, - info.storage_type, # was: resolved_storage + resolved_storage, ) ``` +The only behavioral difference is that `resolved_storage` is now guaranteed to be +storage-safe (no nested extension types in struct/list fields), which is precisely what +`register_arrow_extension` needs. + ### 5. `DESIGN_ISSUES.md` Check whether the nested-dataclass read-path breakage is logged. If so, mark it resolved; @@ -180,29 +212,35 @@ if not, it was an untracked bug — no new entry needed since the fix is deliver ### `tests/test_semantic_types/test_universal_converter.py` -**`register_python_class` tests** (4 updates): tests that assert `isinstance(result, pa.ExtensionType)` or check extension names are updated to assert the plain storage type instead: - -| Test | Old assertion | New assertion | -|---|---|---| -| `test_register_python_class_registry_hit_path` | `isinstance(result, pa.ExtensionType)` | `result == pa.large_string()` (Path storage) | -| `test_register_python_class_uuid_registry_hit` | `isinstance(result, pa.ExtensionType)` | `result == pa.large_binary()` | -| `test_register_python_class_factory_dispatch` | `isinstance(result, pa.ExtensionType)` | storage type of the custom ext; side-effect (registry entry) verified separately | -| `test_register_python_class_factory_dispatch` second call | `result2 == result` | `result2 == result` (still holds — same storage type) | +**`register_python_class` tests** (0 updates): the existing assertions check +`isinstance(result, pa.ExtensionType)` and `result.extension_name == "..."`. Under the new +storage-safe contract `register_python_class` still returns an extension type for registered +classes — these tests are already correct and need no changes. -**`register_storage_type` tests** (7 updates): all return-value assertions replaced with: -- `assert result is None` -- side-effect assertion: type is findable in the registry (for extension type tests) +**`register_storage_type` tests** (1 update): only the test that currently asserts an +extension type is *preserved* inside a struct field needs to change. Under the new +storage-safe contract, that extension type must be stripped to its storage type before +being placed into the rebuilt struct. -Tests that currently verify struct/list return type shapes become side-effect-only (the -traversal still happens, just no rebuilt type is returned). +All other `register_storage_type` tests — including those that check the returned struct +or list shape — continue to pass with only the assertion on the inner field type updated. ### `tests/test_extension_types/test_dataclass_logical_type_factory.py` -- `test_register_python_class_dispatches_to_dataclass_factory`: update assertion from - `isinstance(result, pa.ExtensionType)` to checking the plain storage type +- `test_register_python_class_dispatches_to_dataclass_factory`: **no change** — already + asserts `isinstance(result, pa.ExtensionType)` and `result.extension_name == "orcapod.uuid"`, + which is correct under the new storage-safe contract - New test `test_reconstruct_from_arrow_registers_nested_types`: creates a two-level dataclass hierarchy, calls `reconstruct_from_arrow` for the outer type only, then asserts that the inner type is also present in the registry +- New test `test_nested_dataclass_parquet_roundtrip`: end-to-end Parquet round-trip for + a two-level dataclass (`_Inner` nested inside `_Outer`). Write path: build a converter, + register `_Outer`, write an Arrow table with an `_Outer` instance to a Parquet file. + Read path: create a **fresh converter** (only built-in types + `DataclassLogicalTypeFactory`, + neither `_Inner` nor `_Outer` pre-registered), read the Parquet file back, call + `register_discovered_extensions` on the schema — this should trigger the chain that + registers `_Outer` which in turn registers `_Inner`. Assert that converting the Arrow + struct storage back to a Python `_Outer` value produces the original object. --- @@ -211,6 +249,7 @@ traversal still happens, just no rebuilt type is returned). - `python_type_to_arrow_type` — still returns extension type - `python_schema_to_arrow_schema` — already calls `python_type_to_arrow_type` (correct) - `register_arrow_extension` — unchanged +- `extension_types/database_hooks.py` — unchanged (continues to use `register_storage_type` return value as before) - All write-path value conversion (`python_to_storage`, `get_python_to_arrow_converter`) - All read-path value conversion (`storage_to_python`, `get_arrow_to_python_converter`) - `DataclassLogicalType` itself From d77db141f7f9a6f06ce1891ffb961dcac539c008 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 09:40:45 +0000 Subject: [PATCH 125/206] docs(extension-types): update register_python_class and register_storage_type docstrings for storage-safe contract Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/protocols.py | 31 ++++++++++++++++++++++-- 1 file changed, 29 insertions(+), 2 deletions(-) diff --git a/src/orcapod/extension_types/protocols.py b/src/orcapod/extension_types/protocols.py index 35854a18..01ffae4e 100644 --- a/src/orcapod/extension_types/protocols.py +++ b/src/orcapod/extension_types/protocols.py @@ -25,11 +25,38 @@ class TypeConverterProtocol(Protocol): """ def register_python_class(self, annotation: Any) -> "pa.DataType": - """Traverse a Python annotation and return its Arrow type, registering as needed.""" + """Traverse a Python annotation, register any logical types found, and return + the storage-safe Arrow type. + + The returned type may be a ``pa.ExtensionType`` at the top level for registered + classes (e.g. ``UUID`` → ``orcapod.uuid`` extension type), but struct fields and + list value types at any depth are always plain (non-extension) Arrow types. + + Args: + annotation: A Python type or generic alias (e.g. ``list[str]``, + ``Optional[uuid.UUID]``, a dataclass type). + + Returns: + A storage-safe ``pa.DataType``. May be ``pa.ExtensionType`` at the top level; + never contains nested extension types in struct/list fields. + """ ... def register_storage_type(self, arrow_type: "pa.DataType") -> "pa.DataType": - """Traverse an Arrow type bottom-up, registering extension types, and return resolved type.""" + """Traverse an Arrow type bottom-up, registering extension types, and return a + storage-safe type. + + The returned type may be a ``pa.ExtensionType`` at the top level, but struct fields + and list value types at any depth are always plain (non-extension) Arrow types. + This invariant makes the return value safe to use as a struct field or list element + type without further stripping. + + Args: + arrow_type: An Arrow type to traverse and register. + + Returns: + A storage-safe ``pa.DataType``. + """ ... def python_to_storage(self, value: Any, annotation: Any) -> Any: From d4a1651f737c0c69dcb905eebea147c5f60d65a3 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 10:05:37 +0000 Subject: [PATCH 126/206] fix(universal-converter): register_storage_type strips extension types from struct/list fields (ET1 storage-safe invariant) Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/semantic_types/universal_converter.py | 15 ++++++++++++--- .../test_universal_converter.py | 9 ++++++--- 2 files changed, 18 insertions(+), 6 deletions(-) diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index 2a81c38c..e1053f9f 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -439,29 +439,38 @@ def register_storage_type(self, arrow_type: "pa.DataType") -> "pa.DataType": resolved_storage = self.register_storage_type(arrow_type.storage_type) return self.register_arrow_extension(ext_name, ext_meta, resolved_storage) - # Struct type — recurse into each field, preserving field-level metadata + # Struct type — recurse into each field, preserving field-level metadata. + # Strip any extension type from field types before embedding (ET1: Arrow/Polars + # cannot construct arrays whose struct fields are pa.ExtensionType nodes). if pa.types.is_struct(arrow_type): resolved_fields = [] for i in range(arrow_type.num_fields): field = arrow_type.field(i) resolved_type = self.register_storage_type(field.type) + if isinstance(resolved_type, pa.ExtensionType): + resolved_type = resolved_type.storage_type # strip: ET1 resolved_fields.append( pa.field(field.name, resolved_type, nullable=field.nullable, metadata=field.metadata) ) return pa.struct(resolved_fields) - # Large list type — preserve value field metadata (used by ARROW:extension:* channel) + # Large list type — preserve value field metadata (used by ARROW:extension:* channel). + # Strip any extension type from the value type before embedding (ET1). if pa.types.is_large_list(arrow_type): vf = arrow_type.value_field resolved_value = self.register_storage_type(vf.type) + if isinstance(resolved_value, pa.ExtensionType): + resolved_value = resolved_value.storage_type # strip: ET1 return pa.large_list( pa.field(vf.name, resolved_value, nullable=vf.nullable, metadata=vf.metadata) ) - # List type + # List type — strip any extension type from the value type (ET1). if pa.types.is_list(arrow_type): vf = arrow_type.value_field resolved_value = self.register_storage_type(vf.type) + if isinstance(resolved_value, pa.ExtensionType): + resolved_value = resolved_value.storage_type # strip: ET1 return pa.list_( pa.field(vf.name, resolved_value, nullable=vf.nullable, metadata=vf.metadata) ) diff --git a/tests/test_semantic_types/test_universal_converter.py b/tests/test_semantic_types/test_universal_converter.py index a4743dc2..bf1c1e83 100644 --- a/tests/test_semantic_types/test_universal_converter.py +++ b/tests/test_semantic_types/test_universal_converter.py @@ -929,7 +929,7 @@ def reconstruct_from_arrow(self, name, storage_type, meta, converter): def test_register_storage_type_nested_struct_with_extension(): - """Extension type nested inside a struct field is resolved bottom-up.""" + """Extension type nested inside a struct field is stripped to storage type (ET1).""" import json import uuid as _u @@ -963,8 +963,11 @@ def reconstruct_from_arrow(self, name, storage_type, meta, converter): assert pa.types.is_struct(result) assert result.field("id").type == pa.int64() - assert isinstance(result.field("tag").type, pa.ExtensionType) - assert result.field("tag").type.extension_name == ext_name + # Storage-safe: extension type inside struct field is stripped to its storage type + assert result.field("tag").type == pa.large_string() + assert not isinstance(result.field("tag").type, pa.ExtensionType) + # Side effect: the extension type IS registered (check via registry) + assert converter._logical_type_registry.get_by_arrow_extension_name(ext_name) is not None # ── python_to_storage / storage_to_python / pass-through tests ─────────────── From f110a6dd0bdba5b4de889890f08500d569970037 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 10:09:57 +0000 Subject: [PATCH 127/206] fix(universal-converter): strip extension types from list/dict container element types in register_python_class (ET1) --- .../semantic_types/universal_converter.py | 22 ++++++++++++++----- .../test_universal_converter.py | 20 +++++++++++++++++ 2 files changed, 37 insertions(+), 5 deletions(-) diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index e1053f9f..d0b89da8 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -294,25 +294,33 @@ def _register_python_class_impl(self, annotation: Any, in_progress: set[type]) - f"{annotation!r}. Only Optional[T] (T | None) is allowed." ) - # list[T] → pa.large_list(T) + # list[T] → pa.large_list(T). Strip extension type from element (ET1: extension + # types cannot be nested inside list value types). if origin is list: if not args: raise ValueError( "Unparameterized 'list' is not supported. Use 'list[T]' with a concrete " "element type (e.g. list[int], list[str])." ) - return pa.large_list(self.register_python_class(args[0])) + inner = self.register_python_class(args[0]) + if isinstance(inner, pa.ExtensionType): + inner = inner.storage_type # strip: ET1 + return pa.large_list(inner) - # set[T] → pa.large_list(T) + # set[T] → pa.large_list(T). Strip extension type from element (ET1). if origin is set: if not args: raise ValueError( "Unparameterized 'set' is not supported. Use 'set[T]' with a concrete " "element type (e.g. set[int], set[str])." ) - return pa.large_list(self.register_python_class(args[0])) + inner = self.register_python_class(args[0]) + if isinstance(inner, pa.ExtensionType): + inner = inner.storage_type # strip: ET1 + return pa.large_list(inner) - # dict[K, V] → pa.large_list(struct{key: K, value: V}) + # dict[K, V] → pa.large_list(struct{key: K, value: V}). + # Strip extension types from key and value before embedding in the struct (ET1). if origin is dict: if len(args) < 2: raise ValueError( @@ -320,7 +328,11 @@ def _register_python_class_impl(self, annotation: Any, in_progress: set[type]) - "key and value types (e.g. dict[str, int])." ) key_arrow = self.register_python_class(args[0]) + if isinstance(key_arrow, pa.ExtensionType): + key_arrow = key_arrow.storage_type # strip: ET1 val_arrow = self.register_python_class(args[1]) + if isinstance(val_arrow, pa.ExtensionType): + val_arrow = val_arrow.storage_type # strip: ET1 return pa.large_list( pa.struct([pa.field("key", key_arrow), pa.field("value", val_arrow)]) ) diff --git a/tests/test_semantic_types/test_universal_converter.py b/tests/test_semantic_types/test_universal_converter.py index bf1c1e83..57c01824 100644 --- a/tests/test_semantic_types/test_universal_converter.py +++ b/tests/test_semantic_types/test_universal_converter.py @@ -849,6 +849,26 @@ def reconstruct_from_arrow(self, name, storage, meta, converter): pass converter.register_python_class(_CycleClass) +def test_register_python_class_list_of_uuid_strips_extension(): + """list[UUID] → large_list(large_binary): UUID ext type is stripped from list value.""" + converter = _make_converter() + result = converter.register_python_class(list[_uuid_module.UUID]) + assert pa.types.is_large_list(result) + # Value type must be plain large_binary (not the orcapod.uuid extension type) + assert result.value_type == pa.large_binary() + assert not isinstance(result.value_type, pa.ExtensionType) + + +def test_register_python_class_dict_str_uuid_strips_extension(): + """dict[str, UUID] → large_list(struct{key, value}): UUID ext type is stripped from value.""" + converter = _make_converter() + result = converter.register_python_class(dict[str, _uuid_module.UUID]) + assert pa.types.is_large_list(result) + value_field = result.value_type.field("value") + assert value_field.type == pa.large_binary() + assert not isinstance(value_field.type, pa.ExtensionType) + + # ── register_storage_type tests ────────────────────────────────────────────── def test_register_storage_type_primitive_int(): From ce9c1ab89744e1c3181f8b96e61e64fa1853d1dd Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 10:18:46 +0000 Subject: [PATCH 128/206] refactor(dataclass-factory): delete _strip_ext_to_storage, replace with one-liner in create_for_python_type register_python_class now guarantees a storage-safe invariant (no nested extension types in struct/list fields), so the recursive _strip_ext_to_storage helper is redundant. Replace the call site with a trivial top-level strip using isinstance(arrow_type, pa.ExtensionType). --- .../dataclass_logical_type_factory.py | 67 +++---------------- 1 file changed, 10 insertions(+), 57 deletions(-) diff --git a/src/orcapod/extension_types/dataclass_logical_type_factory.py b/src/orcapod/extension_types/dataclass_logical_type_factory.py index 524e205a..a6891189 100644 --- a/src/orcapod/extension_types/dataclass_logical_type_factory.py +++ b/src/orcapod/extension_types/dataclass_logical_type_factory.py @@ -42,54 +42,6 @@ DATACLASS_CATEGORY = "orcapod.dataclass" -def _strip_ext_to_storage(arrow_type: pa.DataType) -> pa.DataType: - """Recursively strip ``pa.ExtensionType`` nodes down to plain storage types. - - Both ``pa.array`` (used to build struct arrays) and ``make_polars_extension_type`` - fail when a struct (or list element) contains ``pa.ExtensionType`` fields — Arrow - raises ``ArrowNotImplementedError: extension`` in both cases (see ET1 in - ``DESIGN_ISSUES.md``). This helper strips those extension types before - any such operation so that only plain scalar/binary/string types remain - inside struct fields. - - Applied at struct construction time in - ``DataclassLogicalTypeFactory.create_for_python_type`` so that the resulting - ``storage_type`` never contains nested extension types. Value conversion - is annotation-driven (not Arrow-type-driven), so stripping is safe. - - Args: - arrow_type: An Arrow data type, possibly containing nested extension types. - - Returns: - The same structural shape with all ``pa.ExtensionType`` nodes replaced - by their plain storage types. - """ - if isinstance(arrow_type, pa.ExtensionType): - return _strip_ext_to_storage(arrow_type.storage_type) - if pa.types.is_struct(arrow_type): - new_fields = [] - for i in range(arrow_type.num_fields): - field = arrow_type.field(i) - stripped = _strip_ext_to_storage(field.type) - new_fields.append( - pa.field(field.name, stripped, nullable=field.nullable, metadata=field.metadata) - ) - return pa.struct(new_fields) - if pa.types.is_large_list(arrow_type): - vf = arrow_type.value_field - stripped = _strip_ext_to_storage(vf.type) - return pa.large_list( - pa.field(vf.name, stripped, nullable=vf.nullable, metadata=vf.metadata) - ) - if pa.types.is_list(arrow_type): - vf = arrow_type.value_field - stripped = _strip_ext_to_storage(vf.type) - return pa.list_( - pa.field(vf.name, stripped, nullable=vf.nullable, metadata=vf.metadata) - ) - return arrow_type - - class DataclassLogicalType: """Logical type binding a Python dataclass to its Arrow extension type representation. @@ -134,10 +86,10 @@ def __init__( logical_name, storage_type, metadata=_metadata ) self._arrow_ext: pa.ExtensionType | None = None - # ``storage_type`` is already stripped of nested extension types by - # ``DataclassLogicalTypeFactory.create_for_python_type`` (see ET1 in - # DESIGN_ISSUES.md). ``make_polars_extension_type`` and - # ``pa.array`` both require plain storage types inside structs. + # ``storage_type`` must not contain nested extension types (ET1 in DESIGN_ISSUES.md). + # ``DataclassLogicalTypeFactory.create_for_python_type`` and ``reconstruct_from_arrow`` + # both guarantee this by stripping any top-level extension type from each field's + # Arrow type before inserting it into the struct. self._polars_ext_class = make_polars_extension_type(logical_name, storage_type) self._polars_ext: pl.BaseExtension | None = None @@ -308,11 +260,12 @@ def create_for_python_type( continue annotation = hints.get(field.name, Any) arrow_type = converter.register_python_class(annotation) - # Strip extension types from struct field types: pa.array cannot build a - # struct array when a field type is a pa.ExtensionType (see ET1 in - # DESIGN_ISSUES.md). Value conversion is annotation-driven so stripping is safe. - stripped_type = _strip_ext_to_storage(arrow_type) - arrow_fields.append(pa.field(field.name, stripped_type)) + # register_python_class returns a storage-safe type: may be extension at the + # top level, but struct fields are always plain. Strip the top-level extension + # type here before inserting into the struct (ET1; see DESIGN_ISSUES.md). + if isinstance(arrow_type, pa.ExtensionType): + arrow_type = arrow_type.storage_type + arrow_fields.append(pa.field(field.name, arrow_type)) field_annotations.append((field.name, annotation)) storage_type = pa.struct(arrow_fields) From 167da8ee64bb4767a528ca860f17ba8106b430f4 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 10:20:42 +0000 Subject: [PATCH 129/206] docs(registry): remove stale reference to deleted _strip_ext_to_storage in make_polars_extension_type docstring --- src/orcapod/extension_types/registry.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 0f4e8333..2cdf16c4 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -125,9 +125,10 @@ def make_polars_extension_type( ``ArrowNotImplementedError: extension`` when it encounters an extension type nested inside a struct or list during dtype inference. Callers that need to build a Polars extension type whose storage contains nested extension types - must first strip those nodes to their plain storage types (see - ``dataclass_logical_type_factory._strip_ext_to_storage``). This is tracked as design - issue ET1 in ``DESIGN_ISSUES.md``. + must first strip those nodes to their plain storage types. Both + ``register_python_class`` and ``register_storage_type`` uphold a storage-safe + invariant that guarantees this. This is tracked as design issue ET1 in + ``DESIGN_ISSUES.md``. Args: extension_name: The extension type name used for Polars registration. From dec81b4edec3a95a37f394e60ee06bdcb88575c5 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 10:23:01 +0000 Subject: [PATCH 130/206] fix(dataclass-factory): reconstruct_from_arrow registers nested types (registration completeness invariant) Co-Authored-By: Claude Sonnet 4.6 --- .../dataclass_logical_type_factory.py | 5 +++ .../test_dataclass_logical_type_factory.py | 40 +++++++++++++++++++ 2 files changed, 45 insertions(+) diff --git a/src/orcapod/extension_types/dataclass_logical_type_factory.py b/src/orcapod/extension_types/dataclass_logical_type_factory.py index a6891189..af6e27f3 100644 --- a/src/orcapod/extension_types/dataclass_logical_type_factory.py +++ b/src/orcapod/extension_types/dataclass_logical_type_factory.py @@ -322,6 +322,11 @@ def reconstruct_from_arrow( if not field.init: continue annotation = hints.get(field.name, Any) + # Register any logical type the field annotation maps to (registration + # completeness invariant: all nested logical types must be registered when + # the outer type is registered). The return value is discarded; only the + # side effect of registration matters here. + converter.register_python_class(annotation) field_annotations.append((field.name, annotation)) logger.debug( diff --git a/tests/test_extension_types/test_dataclass_logical_type_factory.py b/tests/test_extension_types/test_dataclass_logical_type_factory.py index b8a6b316..0f5743d7 100644 --- a/tests/test_extension_types/test_dataclass_logical_type_factory.py +++ b/tests/test_extension_types/test_dataclass_logical_type_factory.py @@ -181,6 +181,19 @@ class _WithDict: meta: dict[str, int] +@dataclasses.dataclass +class _InnerForRegistrationTest: + """Module-level inner dataclass for registration completeness test.""" + value: int + + +@dataclasses.dataclass +class _OuterForRegistrationTest: + """Module-level outer dataclass for registration completeness test.""" + inner: _InnerForRegistrationTest + label: str + + def test_factory_create_flat_dataclass(): from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory, DataclassLogicalType @@ -319,6 +332,33 @@ def test_factory_reconstruct_from_arrow_invalid_fqcn(): ) +def test_reconstruct_from_arrow_registers_nested_types(): + """reconstruct_from_arrow for Outer must register Inner as a side effect.""" + from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory + + # Build the storage type for _OuterForRegistrationTest manually (as it would come + # from Parquet): outer struct with an inner struct field (Inner is stored as a struct, + # NOT as an extension type inside the struct field — that's the ET1 constraint). + inner_storage = pa.struct([pa.field("value", pa.int64())]) + outer_storage = pa.struct([ + pa.field("inner", inner_storage), + pa.field("label", pa.large_string()), + ]) + outer_fqcn = f"{_OuterForRegistrationTest.__module__}.{_OuterForRegistrationTest.__qualname__}" + + factory = DataclassLogicalTypeFactory() + converter = _make_full_converter() + + # Inner is NOT pre-registered + assert converter._logical_type_registry.get_by_python_type(_InnerForRegistrationTest) is None + + # reconstruct_from_arrow for Outer should trigger registration of Inner as a side effect + lt = factory.reconstruct_from_arrow(outer_fqcn, outer_storage, {"category": "orcapod.dataclass"}, converter) + + # Inner must now be registered + assert converter._logical_type_registry.get_by_python_type(_InnerForRegistrationTest) is not None + + def test_dataclass_python_to_storage_round_trip(): """python_to_storage → storage_to_python returns an equivalent dataclass.""" converter = _make_full_converter() From 134bf266ebb18ee89c0fb6fddb869f47b2f287af Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 10:26:41 +0000 Subject: [PATCH 131/206] test(dataclass-factory): add Parquet round-trip test for nested dataclasses Adds test_nested_dataclass_parquet_roundtrip verifying that reading a Parquet file with a two-level nested dataclass schema triggers register_discovered_extensions to chain-register both Inner and Outer types, enabling full reconstruction of nested objects. --- .../test_dataclass_logical_type_factory.py | 52 +++++++++++++++++++ 1 file changed, 52 insertions(+) diff --git a/tests/test_extension_types/test_dataclass_logical_type_factory.py b/tests/test_extension_types/test_dataclass_logical_type_factory.py index 0f5743d7..e726527e 100644 --- a/tests/test_extension_types/test_dataclass_logical_type_factory.py +++ b/tests/test_extension_types/test_dataclass_logical_type_factory.py @@ -454,3 +454,55 @@ class _DC: lt = DataclassLogicalType("mymod._DC2", _DC, storage, [("x", int)]) with pytest.raises(ValueError, match="converter"): lt.storage_to_python({"x": 1}, None) + + +def test_nested_dataclass_parquet_roundtrip(tmp_path): + """Fresh-process Parquet round-trip for a two-level nested dataclass. + + Verifies that register_discovered_extensions triggers the chain: + register_arrow_extension("Outer") -> reconstruct_from_arrow + -> register_python_class(Inner) -> registers Inner + so that storage_to_python can reconstruct the full nested object. + """ + import pyarrow.parquet as pq + from orcapod.extension_types.database_hooks import register_discovered_extensions, apply_extension_types + + # ── Write path ─────────────────────────────────────────────────────────── + write_converter = _make_full_converter() + + inner = _InnerForRegistrationTest(value=42) + outer = _OuterForRegistrationTest(inner=inner, label="hello") + + # Register Outer (which also registers Inner via create_for_python_type) + write_converter.register_python_class(_OuterForRegistrationTest) + + # Serialise: python_schema_to_arrow_schema gives the column-level Arrow schema + # (with extension types at the top level); python_dicts_to_arrow_table converts rows. + arrow_schema = write_converter.python_schema_to_arrow_schema({"item": _OuterForRegistrationTest}) + rows = [{"item": outer}] + table = write_converter.python_dicts_to_arrow_table(rows, arrow_schema=arrow_schema) + + parquet_path = tmp_path / "nested.parquet" + pq.write_table(table, parquet_path) + + # ── Read path (fresh converter — neither Inner nor Outer pre-registered) ── + read_converter = _make_full_converter() + read_table = pq.read_table(parquet_path) + + # register_discovered_extensions triggers: Outer -> reconstruct_from_arrow + # -> register_python_class(Inner) -> registers Inner + register_discovered_extensions(read_converter, read_table.schema) + read_table = apply_extension_types(read_table, read_converter._logical_type_registry) + + # Both types must now be registered + assert read_converter._logical_type_registry.get_by_python_type(_OuterForRegistrationTest) is not None + assert read_converter._logical_type_registry.get_by_python_type(_InnerForRegistrationTest) is not None + + # Convert back to Python and verify full nested object + rows_out = read_converter.arrow_table_to_python_dicts(read_table) + assert len(rows_out) == 1 + reconstructed = rows_out[0]["item"] + assert isinstance(reconstructed, _OuterForRegistrationTest) + assert isinstance(reconstructed.inner, _InnerForRegistrationTest) + assert reconstructed.inner.value == 42 + assert reconstructed.label == "hello" From c924c1311eb41974afe476cb4d20b76fc2dcfd5a Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 10:31:17 +0000 Subject: [PATCH 132/206] docs(design-issues): update ET1 workaround note to reflect removal of _strip_ext_to_storage (PLT-1720) --- DESIGN_ISSUES.md | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/DESIGN_ISSUES.md b/DESIGN_ISSUES.md index cf2a754b..2a404d9e 100644 --- a/DESIGN_ISSUES.md +++ b/DESIGN_ISSUES.md @@ -1016,16 +1016,16 @@ fields include `uuid.UUID` (stored as `orcapod.uuid` extension over `pa.large_bi Polars's Arrow IPC bridge handles top-level extension types via `pl.BaseExtension`, but has no path for extension types *nested inside* a struct at dtype-inference time. -**Workaround:** `dataclass_handler._strip_ext_to_storage()` recursively replaces all -`pa.ExtensionType` nodes with their plain storage types. This stripping is applied in -`DataclassHandlerFactory.create_for_python_type` when building the struct's field types — -so the stored Arrow schema (and thus the struct passed to `make_polars_extension_type` and -`pa.Table.from_pylist`) never contains nested extension types. The consequence is that the -schema for a dataclass extension column reports downgraded inner field types (e.g. -`large_binary` instead of `orcapod.uuid`). This is invisible through the normal conversion -path (all value conversion flows through `converter.storage_to_python`, which is -annotation-driven), but would mislead any code that directly introspects the raw Arrow -or Polars schema of a dataclass extension column's storage fields. +**Workaround:** `register_python_class` and `register_storage_type` both uphold a +*storage-safe* invariant: the returned type may be a `pa.ExtensionType` at the top level, +but struct fields and list value types at any depth are always plain (non-extension) types. +`DataclassLogicalTypeFactory.create_for_python_type` strips the top-level extension type +with a one-liner (`if isinstance(arrow_type, pa.ExtensionType): arrow_type = arrow_type.storage_type`) +before inserting it into the struct, so the struct passed to `make_polars_extension_type` +and `pa.Table.from_pylist` never contains nested extension types. The private +`_strip_ext_to_storage` recursive helper was removed in PLT-1720; the stripping is now +trivially correct because the storage-safe invariant guarantees `.storage_type` is always +already clean. **Also affects `pa.Table.from_pylist`:** the same restriction applies to PyArrow's `pa.Table.from_pylist` (and `pa.array`) — neither can build an array from a struct type @@ -1038,9 +1038,9 @@ extension type is faithful: extension name, metadata bytes, and storage struct a preserved. Only the inner field schema (already stripped) is absent. **Fix needed:** Once PyArrow (and Polars) support nested extension types natively in struct -construction and Arrow↔Polars conversion, `_strip_ext_to_storage` can be removed from -`create_for_python_type` and `make_polars_extension_type` can accept extension-typed -storage directly. Track upstream PyArrow / Polars issues. +construction and Arrow↔Polars conversion, the stripping one-liner in `create_for_python_type` +can be removed and `make_polars_extension_type` can accept extension-typed storage directly. +Track upstream PyArrow / Polars issues. --- From 5a8d2f4f3957e987a3b225e5719feda30910b4f7 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 17:07:11 +0000 Subject: [PATCH 133/206] docs: fix two misleading comments flagged in PR review MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - spec: correct Optional[UUID] example — Optional[T] delegates to register_python_class(T) unchanged, so Optional[UUID] returns the orcapod.uuid extension type, not pa.large_binary() - factory __init__: correct comment about ET1 guarantee — reconstruct_from_arrow receives storage_type already processed by register_storage_type; only create_for_python_type strips the top-level extension type before struct insertion --- .../extension_types/dataclass_logical_type_factory.py | 7 ++++--- ...-plt-1720-register-python-class-storage-type-cleanup.md | 2 +- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/src/orcapod/extension_types/dataclass_logical_type_factory.py b/src/orcapod/extension_types/dataclass_logical_type_factory.py index af6e27f3..c55f6849 100644 --- a/src/orcapod/extension_types/dataclass_logical_type_factory.py +++ b/src/orcapod/extension_types/dataclass_logical_type_factory.py @@ -87,9 +87,10 @@ def __init__( ) self._arrow_ext: pa.ExtensionType | None = None # ``storage_type`` must not contain nested extension types (ET1 in DESIGN_ISSUES.md). - # ``DataclassLogicalTypeFactory.create_for_python_type`` and ``reconstruct_from_arrow`` - # both guarantee this by stripping any top-level extension type from each field's - # Arrow type before inserting it into the struct. + # On the write path, ``DataclassLogicalTypeFactory.create_for_python_type`` strips any + # top-level extension type from each field's Arrow type before inserting it into the + # struct. On the read path, ``reconstruct_from_arrow`` receives a ``storage_type`` + # already guaranteed storage-safe by ``register_storage_type``. self._polars_ext_class = make_polars_extension_type(logical_name, storage_type) self._polars_ext: pl.BaseExtension | None = None diff --git a/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md b/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md index 48666ddd..d4f10cb0 100644 --- a/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md +++ b/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md @@ -106,7 +106,7 @@ return pa.large_list(inner) End-to-end examples (identical to current spec — stripping in container branches is unchanged): - `list[UUID]` → `pa.large_list(pa.large_binary())` - `dict[str, UUID]` → `pa.large_list(pa.struct([key: large_string, value: large_binary]))` -- `Optional[UUID]` → `pa.large_binary()` +- `Optional[UUID]` → `orcapod.uuid` extension type (same as `UUID` directly; `Optional[T]` is a nullability wrapper that delegates to `register_python_class(T)` unchanged) - `UUID` directly → `orcapod.uuid` extension type (top-level; storage is `pa.large_binary()`) `_convert_python_to_arrow` (used by `python_type_to_arrow_type`) is not touched. From be756e65c3eacb1e3ab57aad96a40a4b41dde218 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 18:31:22 +0000 Subject: [PATCH 134/206] fix(universal-converter): raise ValueError for list/set/dict containing logical types (ET2) Previously, register_python_class(list[UUID]) silently stripped the UUID extension type from the list value field, producing large_list(large_binary) with no schema marker for UUID. On a fresh read, UUID was never auto-registered from the Arrow schema, causing mysterious conversion failures. Now raises ValueError immediately at schema-construction time, pointing to ET2 in DESIGN_ISSUES.md and PLT-1732. The dict branch call order is also tidied: both register_python_class calls precede both isinstance checks. Also adds ET2 to DESIGN_ISSUES.md (with PLT-1732 reference for the fix), an xfail Parquet round-trip test for list[dataclass[dataclass]] showing the desired PLT-1732 behaviour, and marks 5 existing tests xfail (were testing successful creation with list[LogicalType] annotations, which now errors). Co-Authored-By: Claude Sonnet 4.5 --- DESIGN_ISSUES.md | 39 ++++++++++ .../semantic_types/universal_converter.py | 42 ++++++++--- .../test_write_side_registration.py | 25 +++++++ .../test_dataclass_logical_type_factory.py | 72 +++++++++++++++++++ .../test_universal_converter.py | 24 +++---- 5 files changed, 179 insertions(+), 23 deletions(-) diff --git a/DESIGN_ISSUES.md b/DESIGN_ISSUES.md index 2a404d9e..1300e635 100644 --- a/DESIGN_ISSUES.md +++ b/DESIGN_ISSUES.md @@ -1042,6 +1042,45 @@ construction and Arrow↔Polars conversion, the stripping one-liner in `create_f can be removed and `make_polars_extension_type` can accept extension-typed storage directly. Track upstream PyArrow / Polars issues. +### ET2 — Top-level `list[T]` / `dict[K, V]` columns lose extension-type schema metadata when `T`/`V` is a logical type +**Status:** open +**Severity:** medium +**Issue:** PLT-1732 + +When a logical type (e.g. `UUID`, a dataclass) appears as the element type of a top-level +`list[T]` or `dict[K, V]` column, the extension type metadata for `T` is stripped before +the Arrow/Parquet schema is written. This happens because PyArrow does not allow extension +types inside list value fields or struct fields (ET1). As a result the stored Arrow schema +shows `large_list(large_binary)` for `list[UUID]` — no `orcapod.uuid` marker — and on a +fresh read `register_storage_type` finds nothing to register. Value conversion with +`storage_to_python(..., list[UUID])` then fails unless the caller has already registered +`UUID` manually. + +**This does NOT affect logical types that are fields of a registered outer dataclass.** +Those are discovered and registered transitively: `register_discovered_extensions` finds +the outer dataclass extension type → `reconstruct_from_arrow` → `register_python_class` +per field annotation → inner type registered. The limitation applies only when the +outermost container (`list[T]`, `dict[K, V]`) is the top-level column type with no outer +dataclass wrapper. + +**Empirically confirmed** (2026-06-17): `pa.array([], type=pa.large_list(extension_type))` +raises `ArrowNotImplementedError: extension` — identical to the ET1 struct-field +restriction. The `replace_logical_type` flag approach (preserving extension type inside +list value field) is therefore infeasible at the PyArrow level. + +**Workaround (current):** callers that write `list[T]` top-level columns must manually +call `converter.register_python_class(T)` before calling `storage_to_python` on a fresh +converter. Alternatively, wrap the list in a dataclass field so the outer dataclass +extension type carries the type information into the schema. + +**Planned fix (PLT-1732, target v0.2):** Introduce `ListLogicalType` / +`ListLogicalTypeFactory` and `StructLogicalType` / `StructLogicalTypeFactory`. A +`list[UUID]` top-level column would be wrapped as a new extension type +`orcapod.list[orcapod.uuid]` with storage `large_list(large_binary)`. The extension type +sits at the outermost (list) level, not inside the list value field, so it satisfies ET1. +`register_storage_type` would dispatch to the new factory on read, auto-registering the +element type. See PLT-1732 for full design. + --- ## `src/orcapod/semantic_types/universal_converter.py` diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index d0b89da8..350f7295 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -294,8 +294,11 @@ def _register_python_class_impl(self, annotation: Any, in_progress: set[type]) - f"{annotation!r}. Only Optional[T] (T | None) is allowed." ) - # list[T] → pa.large_list(T). Strip extension type from element (ET1: extension - # types cannot be nested inside list value types). + # list[T] → pa.large_list(T). + # Raise if T resolves to an extension type: Arrow forbids extension types inside + # list value fields (ET1/ET2 in DESIGN_ISSUES.md). Fail loudly now rather than + # silently dropping type information and failing mysteriously on read. + # Native list-of-logical-type support is planned in PLT-1732 (ListLogicalType). if origin is list: if not args: raise ValueError( @@ -304,10 +307,15 @@ def _register_python_class_impl(self, annotation: Any, in_progress: set[type]) - ) inner = self.register_python_class(args[0]) if isinstance(inner, pa.ExtensionType): - inner = inner.storage_type # strip: ET1 + raise ValueError( + f"'list[{args[0]}]' is not yet supported: the element type maps to Arrow " + f"extension type {inner.extension_name!r}, which cannot be preserved inside " + f"a list value field due to an Arrow limitation (ET2 in DESIGN_ISSUES.md). " + f"Native list-of-logical-type support is tracked in PLT-1732." + ) return pa.large_list(inner) - # set[T] → pa.large_list(T). Strip extension type from element (ET1). + # set[T] → pa.large_list(T). Same restriction as list[T]. if origin is set: if not args: raise ValueError( @@ -316,11 +324,17 @@ def _register_python_class_impl(self, annotation: Any, in_progress: set[type]) - ) inner = self.register_python_class(args[0]) if isinstance(inner, pa.ExtensionType): - inner = inner.storage_type # strip: ET1 + raise ValueError( + f"'set[{args[0]}]' is not yet supported: the element type maps to Arrow " + f"extension type {inner.extension_name!r}, which cannot be preserved inside " + f"a list value field due to an Arrow limitation (ET2 in DESIGN_ISSUES.md). " + f"Native set-of-logical-type support is tracked in PLT-1732." + ) return pa.large_list(inner) # dict[K, V] → pa.large_list(struct{key: K, value: V}). - # Strip extension types from key and value before embedding in the struct (ET1). + # Raise if K or V resolves to an extension type: the key/value land inside struct + # fields, which also forbids extension types (ET1 in DESIGN_ISSUES.md). if origin is dict: if len(args) < 2: raise ValueError( @@ -328,11 +342,21 @@ def _register_python_class_impl(self, annotation: Any, in_progress: set[type]) - "key and value types (e.g. dict[str, int])." ) key_arrow = self.register_python_class(args[0]) - if isinstance(key_arrow, pa.ExtensionType): - key_arrow = key_arrow.storage_type # strip: ET1 val_arrow = self.register_python_class(args[1]) + if isinstance(key_arrow, pa.ExtensionType): + raise ValueError( + f"'dict[{args[0]}, ...]' is not yet supported: the key type maps to Arrow " + f"extension type {key_arrow.extension_name!r}, which cannot be preserved " + f"inside a struct field due to an Arrow limitation (ET1 in DESIGN_ISSUES.md). " + f"Native dict-of-logical-type support is tracked in PLT-1732." + ) if isinstance(val_arrow, pa.ExtensionType): - val_arrow = val_arrow.storage_type # strip: ET1 + raise ValueError( + f"'dict[..., {args[1]}]' is not yet supported: the value type maps to Arrow " + f"extension type {val_arrow.extension_name!r}, which cannot be preserved " + f"inside a struct field due to an Arrow limitation (ET1 in DESIGN_ISSUES.md). " + f"Native dict-of-logical-type support is tracked in PLT-1732." + ) return pa.large_list( pa.struct([pa.field("key", key_arrow), pa.field("value", val_arrow)]) ) diff --git a/tests/test_core/function_pod/test_write_side_registration.py b/tests/test_core/function_pod/test_write_side_registration.py index 0ce10867..db1f5de5 100644 --- a/tests/test_core/function_pod/test_write_side_registration.py +++ b/tests/test_core/function_pod/test_write_side_registration.py @@ -147,6 +147,11 @@ def my_func(x: int) -> _MyChild: # ── Complex / nested type tests ─────────────────────────────────────────────── +@pytest.mark.xfail( + reason="list[T] where T is a logical type not yet supported (PLT-1732: ListLogicalType)", + raises=ValueError, + strict=True, +) def test_pod_declaration_with_nested_list_input(): """list[_MyChild] in a function input causes factory synthesis for _MyChild.""" registry, call_log = _make_registry_with_factory(_MyBase) @@ -162,6 +167,11 @@ def my_func(items: list[_MyChild]) -> str: assert _MyChild in call_log +@pytest.mark.xfail( + reason="list[T] / dict[K, list[T]] where T is a logical type not yet supported (PLT-1732)", + raises=ValueError, + strict=True, +) def test_pod_declaration_with_doubly_nested_input(): """dict[str, list[_MyChild]] causes factory synthesis for _MyChild.""" registry, call_log = _make_registry_with_factory(_MyBase) @@ -192,6 +202,11 @@ def my_func(x: Optional[_MyChild]) -> str: assert _MyChild in call_log +@pytest.mark.xfail( + reason="list[T] where T is a logical type not yet supported (PLT-1732: ListLogicalType)", + raises=ValueError, + strict=True, +) def test_pod_declaration_with_complex_output(): """list[_MyChild] in the output schema causes factory synthesis.""" registry, call_log = _make_registry_with_factory(_MyBase) @@ -207,6 +222,11 @@ def my_func(x: str) -> list[_MyChild]: assert _MyChild in call_log +@pytest.mark.xfail( + reason="list[T] / dict[K, list[T]] where T is a logical type not yet supported (PLT-1732)", + raises=ValueError, + strict=True, +) def test_pod_declaration_with_doubly_nested_output(): """dict[str, list[_MyChild]] in the output causes factory synthesis for _MyChild.""" registry, call_log = _make_registry_with_factory(_MyBase) @@ -275,6 +295,11 @@ def my_func(x: int) -> tuple[_MyChild, _MyOtherChild]: assert _MyOtherChild in call_log +@pytest.mark.xfail( + reason="list[T] where T is a logical type not yet supported (PLT-1732: ListLogicalType)", + raises=ValueError, + strict=True, +) def test_pod_declaration_three_classes_mixed(): """Three custom classes spread across input and output each get synthesized.""" registry, call_log = _make_registry_with_factory(_MyBase, _MyOtherBase, _ThirdBase) diff --git a/tests/test_extension_types/test_dataclass_logical_type_factory.py b/tests/test_extension_types/test_dataclass_logical_type_factory.py index e726527e..57607efe 100644 --- a/tests/test_extension_types/test_dataclass_logical_type_factory.py +++ b/tests/test_extension_types/test_dataclass_logical_type_factory.py @@ -194,6 +194,22 @@ class _OuterForRegistrationTest: label: str +# ── Module-level dataclasses for list[dataclass[dataclass]] round-trip test ── + +@dataclasses.dataclass +class _ListItemDC: + """Inner dataclass used as element type in list[_ListItemDC] field.""" + x: int + y: int + + +@dataclasses.dataclass +class _ListContainerDC: + """Outer dataclass with a list[_ListItemDC] field.""" + items: list[_ListItemDC] + label: str + + def test_factory_create_flat_dataclass(): from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory, DataclassLogicalType @@ -506,3 +522,59 @@ def test_nested_dataclass_parquet_roundtrip(tmp_path): assert isinstance(reconstructed.inner, _InnerForRegistrationTest) assert reconstructed.inner.value == 42 assert reconstructed.label == "hello" + + +@pytest.mark.xfail( + reason=( + "list[T] where T is a logical type (e.g. a dataclass) is not yet supported. " + "Arrow cannot preserve extension types inside list value fields (ET2 in " + "DESIGN_ISSUES.md). Planned in PLT-1732 (ListLogicalType / StructLogicalType)." + ), + raises=ValueError, + strict=True, +) +def test_list_of_nested_dataclass_parquet_roundtrip(tmp_path): + """Parquet round-trip for a dataclass whose field is list[AnotherDataclass]. + + This test documents the PLT-1732 gap: registering a dataclass that contains a + list[T] field where T is itself a logical type currently raises ValueError because + Arrow cannot represent extension types inside list value fields. + + Once PLT-1732 (ListLogicalType) is implemented, this test should pass and the + xfail marker should be removed. + """ + import pyarrow.parquet as pq + from orcapod.extension_types.database_hooks import register_discovered_extensions, apply_extension_types + + # ── Write path ─────────────────────────────────────────────────────────── + write_converter = _make_full_converter() + + items = [_ListItemDC(x=1, y=2), _ListItemDC(x=3, y=4)] + container = _ListContainerDC(items=items, label="test") + + # This raises ValueError currently: list[_ListItemDC] contains a logical type + # (_ListItemDC is a dataclass → extension type) in a list value field position. + write_converter.register_python_class(_ListContainerDC) + + arrow_schema = write_converter.python_schema_to_arrow_schema({"record": _ListContainerDC}) + rows = [{"record": container}] + table = write_converter.python_dicts_to_arrow_table(rows, arrow_schema=arrow_schema) + + parquet_path = tmp_path / "list_nested.parquet" + pq.write_table(table, parquet_path) + + # ── Read path (fresh converter) ────────────────────────────────────────── + read_converter = _make_full_converter() + read_table = pq.read_table(parquet_path) + register_discovered_extensions(read_converter, read_table.schema) + read_table = apply_extension_types(read_table, read_converter._logical_type_registry) + + rows_out = read_converter.arrow_table_to_python_dicts(read_table) + assert len(rows_out) == 1 + reconstructed = rows_out[0]["record"] + assert isinstance(reconstructed, _ListContainerDC) + assert len(reconstructed.items) == 2 + assert isinstance(reconstructed.items[0], _ListItemDC) + assert reconstructed.items[0].x == 1 + assert reconstructed.items[1].y == 4 + assert reconstructed.label == "test" diff --git a/tests/test_semantic_types/test_universal_converter.py b/tests/test_semantic_types/test_universal_converter.py index 57c01824..d8032ed0 100644 --- a/tests/test_semantic_types/test_universal_converter.py +++ b/tests/test_semantic_types/test_universal_converter.py @@ -849,24 +849,20 @@ def reconstruct_from_arrow(self, name, storage, meta, converter): pass converter.register_python_class(_CycleClass) -def test_register_python_class_list_of_uuid_strips_extension(): - """list[UUID] → large_list(large_binary): UUID ext type is stripped from list value.""" +def test_register_python_class_list_of_uuid_raises(): + """list[UUID] raises ValueError: UUID is a logical type and cannot be preserved + inside a list value field (ET2 in DESIGN_ISSUES.md). Tracked in PLT-1732.""" converter = _make_converter() - result = converter.register_python_class(list[_uuid_module.UUID]) - assert pa.types.is_large_list(result) - # Value type must be plain large_binary (not the orcapod.uuid extension type) - assert result.value_type == pa.large_binary() - assert not isinstance(result.value_type, pa.ExtensionType) + with pytest.raises(ValueError, match="PLT-1732"): + converter.register_python_class(list[_uuid_module.UUID]) -def test_register_python_class_dict_str_uuid_strips_extension(): - """dict[str, UUID] → large_list(struct{key, value}): UUID ext type is stripped from value.""" +def test_register_python_class_dict_str_uuid_raises(): + """dict[str, UUID] raises ValueError: UUID is a logical type and cannot be preserved + inside a struct field (ET1/ET2 in DESIGN_ISSUES.md). Tracked in PLT-1732.""" converter = _make_converter() - result = converter.register_python_class(dict[str, _uuid_module.UUID]) - assert pa.types.is_large_list(result) - value_field = result.value_type.field("value") - assert value_field.type == pa.large_binary() - assert not isinstance(value_field.type, pa.ExtensionType) + with pytest.raises(ValueError, match="PLT-1732"): + converter.register_python_class(dict[str, _uuid_module.UUID]) # ── register_storage_type tests ────────────────────────────────────────────── From 6224d2f3f446834f15b72fef015c712ce6038046 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 18:49:56 +0000 Subject: [PATCH 135/206] docs(plt-1720): fix ET2 docs to reflect ValueError raise behavior Update DESIGN_ISSUES.md ET2 entry, registry.py docstring, spec, and plan to accurately document that list/set/dict with logical-type elements raises ValueError at schema-construction time rather than silently stripping ext types. Co-Authored-By: Claude Sonnet 4.6 --- DESIGN_ISSUES.md | 27 +++++++------- src/orcapod/extension_types/registry.py | 10 +++--- ...ister-python-class-storage-type-cleanup.md | 36 ++++++++----------- ...ister-python-class-storage-type-cleanup.md | 26 ++++++-------- 4 files changed, 46 insertions(+), 53 deletions(-) diff --git a/DESIGN_ISSUES.md b/DESIGN_ISSUES.md index 1300e635..ebc57b97 100644 --- a/DESIGN_ISSUES.md +++ b/DESIGN_ISSUES.md @@ -1047,14 +1047,16 @@ Track upstream PyArrow / Polars issues. **Severity:** medium **Issue:** PLT-1732 -When a logical type (e.g. `UUID`, a dataclass) appears as the element type of a top-level -`list[T]` or `dict[K, V]` column, the extension type metadata for `T` is stripped before -the Arrow/Parquet schema is written. This happens because PyArrow does not allow extension -types inside list value fields or struct fields (ET1). As a result the stored Arrow schema -shows `large_list(large_binary)` for `list[UUID]` — no `orcapod.uuid` marker — and on a -fresh read `register_storage_type` finds nothing to register. Value conversion with -`storage_to_python(..., list[UUID])` then fails unless the caller has already registered -`UUID` manually. +When a logical type (e.g. `UUID`, a dataclass) appears as the element type of a `list[T]` +or `dict[K, V]` annotation, `register_python_class` now raises `ValueError` at +schema-construction time rather than silently stripping the extension type. The underlying +cause is that PyArrow does not allow extension types inside list value fields or struct +fields (ET1): `pa.array([], type=pa.large_list(extension_type))` raises +`ArrowNotImplementedError: extension`. If a caller manually strips to storage types and +writes `large_list(large_binary)` for `list[UUID]`, the stored Arrow schema carries no +`orcapod.uuid` marker; on a fresh read `register_storage_type` finds nothing to register, +and value conversion with `storage_to_python(..., list[UUID])` fails unless `UUID` was +registered manually beforehand. **This does NOT affect logical types that are fields of a registered outer dataclass.** Those are discovered and registered transitively: `register_discovered_extensions` finds @@ -1068,10 +1070,11 @@ raises `ArrowNotImplementedError: extension` — identical to the ET1 struct-fie restriction. The `replace_logical_type` flag approach (preserving extension type inside list value field) is therefore infeasible at the PyArrow level. -**Workaround (current):** callers that write `list[T]` top-level columns must manually -call `converter.register_python_class(T)` before calling `storage_to_python` on a fresh -converter. Alternatively, wrap the list in a dataclass field so the outer dataclass -extension type carries the type information into the schema. +**Current behaviour:** `register_python_class(list[T])` raises `ValueError` when `T` +resolves to a logical type, pointing to this entry and PLT-1732. Use a direct `T` column +(no list wrapper) or wrap the list inside a dataclass field — the outer dataclass extension +type carries the annotation into the schema, and `reconstruct_from_arrow` re-registers `T` +transitively on read. **Planned fix (PLT-1732, target v0.2):** Introduce `ListLogicalType` / `ListLogicalTypeFactory` and `StructLogicalType` / `StructLogicalTypeFactory`. A diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 2cdf16c4..3db481cc 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -123,11 +123,11 @@ def make_polars_extension_type( list element types). Polars's Arrow IPC bridge can handle a top-level extension type via ``pl.BaseExtension``, but raises ``ArrowNotImplementedError: extension`` when it encounters an extension type - nested inside a struct or list during dtype inference. Callers that need to - build a Polars extension type whose storage contains nested extension types - must first strip those nodes to their plain storage types. Both - ``register_python_class`` and ``register_storage_type`` uphold a storage-safe - invariant that guarantees this. This is tracked as design issue ET1 in + nested inside a struct or list during dtype inference. Callers must ensure + ``arrow_storage_type`` is storage-safe (no nested extension type nodes) before + passing it here. Types produced by ``register_python_class`` and + ``register_storage_type`` satisfy this invariant, but arbitrary + ``pa.DataType`` values do not. This is tracked as design issue ET1 in ``DESIGN_ISSUES.md``. Args: diff --git a/superpowers/plans/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md b/superpowers/plans/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md index a6db2961..91e76732 100644 --- a/superpowers/plans/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md +++ b/superpowers/plans/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md @@ -288,39 +288,33 @@ uv run pytest tests/test_semantic_types/test_universal_converter.py -k "register ``` Expected: PASS -- [ ] **Step 2: Write a new failing test for `list[UUID]` stripping** +- [ ] **Step 2: Write a new failing test for `list[UUID]` error behaviour** Add at the end of the `register_python_class` block in `tests/test_semantic_types/test_universal_converter.py`: ```python -def test_register_python_class_list_of_uuid_strips_extension(): - """list[UUID] → large_list(large_binary): UUID ext type is stripped from list value.""" +def test_register_python_class_list_of_uuid_raises(): + """list[UUID] raises ValueError: UUID is a logical type and cannot be preserved + inside a list value field (ET2 in DESIGN_ISSUES.md). Tracked in PLT-1732.""" converter = _make_converter() - result = converter.register_python_class(list[_uuid_module.UUID]) - assert pa.types.is_large_list(result) - # Value type must be plain large_binary (not the orcapod.uuid extension type) - assert result.value_type == pa.large_binary() - assert not isinstance(result.value_type, pa.ExtensionType) + with pytest.raises(ValueError, match="PLT-1732"): + converter.register_python_class(list[_uuid_module.UUID]) -def test_register_python_class_dict_str_uuid_strips_extension(): - """dict[str, UUID] → large_list(struct{key, value}): UUID ext type is stripped from value.""" +def test_register_python_class_dict_str_uuid_raises(): + """dict[str, UUID] raises ValueError: UUID is a logical type and cannot be preserved + inside a struct field (ET1/ET2 in DESIGN_ISSUES.md). Tracked in PLT-1732.""" converter = _make_converter() - result = converter.register_python_class(dict[str, _uuid_module.UUID]) - assert pa.types.is_large_list(result) - value_field = result.value_type.field("value") - assert value_field.type == pa.large_binary() - assert not isinstance(value_field.type, pa.ExtensionType) + with pytest.raises(ValueError, match="PLT-1732"): + converter.register_python_class(dict[str, _uuid_module.UUID]) ``` - [ ] **Step 3: Run the new tests to verify they fail** ```bash -uv run pytest tests/test_semantic_types/test_universal_converter.py::test_register_python_class_list_of_uuid_strips_extension tests/test_semantic_types/test_universal_converter.py::test_register_python_class_dict_str_uuid_strips_extension -v +uv run pytest tests/test_semantic_types/test_universal_converter.py::test_register_python_class_list_of_uuid_raises tests/test_semantic_types/test_universal_converter.py::test_register_python_class_dict_str_uuid_raises -v ``` -Expected: FAIL — UUID is currently returned as-is from `register_python_class(UUID)` (it's already an extension type); the list/dict branches embed it without stripping. - -Wait — check this. The current code at line 340 returns `lt.get_arrow_extension_type()` for UUID. Then line 304 does `pa.large_list(self.register_python_class(args[0]))` which calls `register_python_class(UUID)` → extension type → embeds in large_list. This IS a bug today. So the tests should indeed fail. +Expected: FAIL — the list/dict branches currently embed the extension type without raising. - [ ] **Step 4: Fix the container branches in `_register_python_class_impl`** @@ -421,7 +415,7 @@ Locate the list, set, and dict branches (lines ~297–325). Apply stripping afte - [ ] **Step 5: Run the new tests to verify they pass** ```bash -uv run pytest tests/test_semantic_types/test_universal_converter.py::test_register_python_class_list_of_uuid_strips_extension tests/test_semantic_types/test_universal_converter.py::test_register_python_class_dict_str_uuid_strips_extension -v +uv run pytest tests/test_semantic_types/test_universal_converter.py::test_register_python_class_list_of_uuid_raises tests/test_semantic_types/test_universal_converter.py::test_register_python_class_dict_str_uuid_raises -v ``` Expected: PASS @@ -826,7 +820,7 @@ git push -u origin eywalker/plt-1720-cleanup-register_python_class-should-return - ✅ Protocol docstrings updated (Task 1) - ✅ `DESIGN_ISSUES.md` ET1 updated (Task 7) - ✅ `test_register_storage_type_nested_struct_with_extension` updated (Task 2) -- ✅ `test_register_python_class_list_of_uuid_strips_extension` added (Task 3) +- ✅ `test_register_python_class_list_of_uuid_raises` added (Task 3) - ✅ `test_reconstruct_from_arrow_registers_nested_types` added (Task 5) - ✅ `test_nested_dataclass_parquet_roundtrip` added (Task 6) - ✅ `database_hooks.py` unchanged (no task needed — already uses `register_storage_type` return value) diff --git a/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md b/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md index d4f10cb0..26114eb9 100644 --- a/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md +++ b/superpowers/specs/2026-06-17-plt-1720-register-python-class-storage-type-cleanup.md @@ -91,21 +91,17 @@ return lt.get_arrow_extension_type() # unchanged from current behaviour ``` The container branches (`list[T]`, `set[T]`, `dict[K,V]`, `Optional[T]`) recurse through -`self.register_python_class(...)` and receive a potentially extension-typed result. They strip -it to `.storage_type` before embedding it in a list value or struct field — a trivial one-liner -that replaces the old recursive `_strip_ext_to_storage` helper: - -```python -# list[T] branch (illustrative) -inner = self.register_python_class(inner_type) -if isinstance(inner, pa.ExtensionType): - inner = inner.storage_type # strip: cannot nest ext inside list value type -return pa.large_list(inner) -``` - -End-to-end examples (identical to current spec — stripping in container branches is unchanged): -- `list[UUID]` → `pa.large_list(pa.large_binary())` -- `dict[str, UUID]` → `pa.large_list(pa.struct([key: large_string, value: large_binary]))` +`self.register_python_class(...)` and receive a potentially extension-typed result. +For `Optional[T]` the result is returned unchanged (nullability is a field-level concern). +For `list[T]`, `set[T]`, and `dict[K,V]`, if the element/key/value resolves to an extension +type, a `ValueError` is raised rather than silently stripping the extension type — this is +the ET2 policy (fail loudly at schema-construction time). See ET2 in `DESIGN_ISSUES.md` and +PLT-1732 for the planned `ListLogicalType` fix. + +End-to-end examples: +- `list[UUID]` → raises `ValueError` (ET2: UUID is a logical type; use a direct UUID column or wrap in a dataclass field) +- `dict[str, UUID]` → raises `ValueError` (ET2: same reason) +- `list[int]` → `pa.large_list(pa.int64())` (plain types are fine) - `Optional[UUID]` → `orcapod.uuid` extension type (same as `UUID` directly; `Optional[T]` is a nullability wrapper that delegates to `register_python_class(T)` unchanged) - `UUID` directly → `orcapod.uuid` extension type (top-level; storage is `pa.large_binary()`) From a042b460daaba40ca4053bd06c083ae405d9ecb2 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 21:34:06 +0000 Subject: [PATCH 136/206] docs(plt-1731): add pydantic logical type factory design spec --- ...17-pydantic-logical-type-factory-design.md | 231 ++++++++++++++++++ 1 file changed, 231 insertions(+) create mode 100644 superpowers/specs/2026-06-17-pydantic-logical-type-factory-design.md diff --git a/superpowers/specs/2026-06-17-pydantic-logical-type-factory-design.md b/superpowers/specs/2026-06-17-pydantic-logical-type-factory-design.md new file mode 100644 index 00000000..1dab54d0 --- /dev/null +++ b/superpowers/specs/2026-06-17-pydantic-logical-type-factory-design.md @@ -0,0 +1,231 @@ +# Pydantic Logical Type Factory Design + +**Issue:** PLT-1731 +**Date:** 2026-06-17 +**Branch:** `eywalker/plt-1731-implement-pydantic-logical-type-factory-on-refined` + +--- + +## Overview + +Implement `PydanticLogicalType` and `PydanticLogicalTypeFactory` for pydantic v2 `BaseModel` +subclasses. The factory follows the same thin-leaf pattern established by +`DataclassLogicalTypeFactory` (PLT-1705): it synthesises one logical type per supported class, +delegates all field-type resolution to the converter via `register_python_class`, and stores +field annotations so that value conversion flows back through the converter at runtime. + +The two factories are fully independent — `PydanticLogicalTypeFactory` has no dependency on +`dataclass_logical_type_factory.py` and vice versa. + +--- + +## Goals & Success Criteria + +- `PydanticLogicalTypeFactory` implements `LogicalTypeFactoryProtocol` (write path + + read path). +- `PydanticLogicalType` implements `LogicalTypeProtocol`. +- For each model field, schema derivation and value conversion flow through the converter + re-entry points — no annotation traversal inside the factory. +- No coupling to `LogicalTypeRegistry` or cycle-detection internals. +- Pydantic is an optional dependency; the factory is importable and gracefully returns + `False` from `supports_class` when pydantic is not installed. +- All tests pass; a full Parquet round-trip test demonstrates end-to-end correctness. + +--- + +## Scope & Boundaries + +In scope: +- `PydanticLogicalType` and `PydanticLogicalTypeFactory` in a new + `src/orcapod/extension_types/pydantic_logical_type_factory.py`. +- Refactoring the FQCN walk loop into `type_utils._walk_fqcn` to avoid duplication. +- `pyproject.toml`: add `pydantic = ["pydantic>=2.0"]` optional extra; add to `all`. +- `extension_types/__init__.py`: export the new symbols. +- Test file `tests/test_extension_types/test_pydantic_logical_type_factory.py`. + +Out of scope: +- Wiring `PydanticLogicalTypeFactory` into the default `DataContext` / context JSON + (separate issue). +- Pydantic v1 support. +- Pydantic computed fields (`model_computed_fields`) — these are derived and not stored. +- Pydantic private attributes (`PrivateAttr`) — always have defaults; not stored. +- Pydantic model validators or field validators affecting storage values. +- Nested extension types inside list value fields (ET2 gap, tracked separately). + +--- + +## Architecture + +### New file: `pydantic_logical_type_factory.py` + +``` +src/orcapod/extension_types/pydantic_logical_type_factory.py +``` + +Contains: + +- `PYDANTIC_CATEGORY = "orcapod.pydantic"` — category tag embedded in Arrow extension + metadata; used as the factory dispatch key on the read path. +- `PydanticLogicalType` — logical type binding a pydantic `BaseModel` subclass to its + Arrow extension type representation. +- `PydanticLogicalTypeFactory` — stateless factory that synthesises and reconstructs + `PydanticLogicalType` instances. +- `_import_pydantic_model_from_fqcn(fqcn)` — private import helper; calls + `type_utils._walk_fqcn` then validates the resolved object is a `BaseModel` subclass. + +### `PydanticLogicalType` + +Constructor arguments: + +| Parameter | Type | Description | +|---|---|---| +| `logical_name` | `str` | FQCN; used as logical type name and Arrow extension name | +| `python_type` | `type` | The `BaseModel` subclass | +| `storage_type` | `pa.StructType` | Arrow struct of model fields | +| `field_annotations` | `list[tuple[str, Any]]` | Ordered `(field_name, annotation)` pairs | + +**`python_to_storage(value, converter)`** + +```python +{name: converter.python_to_storage(getattr(value, name), annotation) + for name, annotation in self._field_annotations} +``` + +**`storage_to_python(storage_value, converter)`** + +```python +kwargs = {name: converter.storage_to_python(storage_value[name], annotation) + for name, annotation in self._field_annotations} +return self._python_type(**kwargs) +``` + +Calling `python_type(**kwargs)` triggers full pydantic validation on reconstruction, +ensuring the model is always in a valid state. + +Arrow/Polars extension types are created via `make_arrow_extension_type` / +`make_polars_extension_type` with +`metadata = json.dumps({"category": PYDANTIC_CATEGORY}).encode("utf-8")`. + +Both conversion methods raise `ValueError` when `converter is None`. + +### `PydanticLogicalTypeFactory` + +**`supports_class(python_type)`** + +```python +try: + from pydantic import BaseModel +except ImportError: + return False +return isinstance(python_type, type) and issubclass(python_type, BaseModel) +``` + +Gracefully returns `False` if pydantic is not installed. The `try/except` is inside the +method rather than at module level so the factory module is importable regardless. + +**`create_for_python_type(python_type, converter)` — write path** + +1. Derive FQCN as `f"{python_type.__module__}.{python_type.__qualname__}"`. +2. Reject local classes (`""` in FQCN) with `ValueError`. +3. Call `typing.get_type_hints(python_type)` to resolve annotations (handles forward refs). +4. Iterate `python_type.model_fields` (pydantic v2 API) — this is the authoritative set of + stored fields. Computed fields and private attributes are automatically excluded. +5. For each field: `arrow_type = converter.register_python_class(annotation)`. Strip any + top-level `pa.ExtensionType` before inserting into the struct (ET1 constraint: struct + fields must never contain nested extension types). +6. Return `PydanticLogicalType(fqcn, python_type, pa.struct(arrow_fields), field_annotations)`. + +**`reconstruct_from_arrow(arrow_extension_name, storage_type, metadata, converter)` — read path** + +1. Validate `storage_type` is a struct; raise `ValueError` otherwise. +2. Import class from FQCN via `_import_pydantic_model_from_fqcn`; raises `ImportError` if + not found or not a `BaseModel` subclass. +3. Call `typing.get_type_hints(cls)` and iterate `cls.model_fields` to recover + `field_annotations`. +4. Call `converter.register_python_class(annotation)` per field — registration completeness + invariant: all nested logical types must be registered when the outer type is registered. +5. Return `PydanticLogicalType(arrow_extension_name, cls, storage_type, field_annotations)`. + +### FQCN import refactoring + +`type_utils._walk_fqcn(fqcn: str) -> Any` performs the module-prefix walk and attribute +chain traversal, returning the raw resolved object without type validation. Both +`dataclass_logical_type_factory._import_from_fqcn` and +`pydantic_logical_type_factory._import_pydantic_model_from_fqcn` call `_walk_fqcn` and +apply their own type validation on top. The ~25-line walk loop is written once. + +### Registration + +```python +from pydantic import BaseModel +from orcapod.extension_types.pydantic_logical_type_factory import ( + PydanticLogicalTypeFactory, PYDANTIC_CATEGORY +) +converter.register_logical_type_factory( + PydanticLogicalTypeFactory(), + category=PYDANTIC_CATEGORY, + python_bases=[BaseModel], +) +``` + +`python_bases=[BaseModel]` ensures MRO dispatch only probes this factory for classes that +actually inherit from `BaseModel`, rather than every class in the system. + +--- + +## Dependency changes + +**`pyproject.toml`:** + +```toml +[project.optional-dependencies] +# existing entries ... +pydantic = ["pydantic>=2.0"] +all = ["orcapod[redis]", "orcapod[ray]", "orcapod[postgresql]", "orcapod[spiraldb]", "orcapod[pydantic]"] +``` + +--- + +## Files changed + +| File | Change | +|---|---| +| `src/orcapod/extension_types/pydantic_logical_type_factory.py` | New — `PYDANTIC_CATEGORY`, `PydanticLogicalType`, `PydanticLogicalTypeFactory`, `_import_pydantic_model_from_fqcn` | +| `src/orcapod/extension_types/__init__.py` | Export `PYDANTIC_CATEGORY`, `PydanticLogicalType`, `PydanticLogicalTypeFactory` | +| `src/orcapod/extension_types/type_utils.py` | Add `_walk_fqcn` shared helper | +| `src/orcapod/extension_types/dataclass_logical_type_factory.py` | `_import_from_fqcn` delegates to `type_utils._walk_fqcn` | +| `pyproject.toml` | Add `pydantic` optional extra; add to `all` | +| `tests/test_extension_types/test_pydantic_logical_type_factory.py` | New — full test suite | + +--- + +## Test plan + +All module-level pydantic models used in tests that require FQCN reconstruction are +defined at module scope (not inside test functions), consistent with +`test_dataclass_logical_type_factory.py`. + +| Test | What it checks | +|---|---| +| `test_pydantic_logical_type_is_importable` | Module-level smoke test | +| `test_pydantic_logical_type_protocol_conformance` | `isinstance(lt, LogicalTypeProtocol)` | +| `test_pydantic_logical_type_python_to_storage` | `getattr`-based dict output | +| `test_pydantic_logical_type_storage_to_python` | `python_type(**kwargs)` reconstruction | +| `test_pydantic_logical_type_logical_type_name` | FQCN stored correctly | +| `test_pydantic_logical_type_python_type` | `.python_type` property | +| `test_factory_supports_class_pydantic_model` | Returns `True` for `BaseModel` subclass | +| `test_factory_supports_class_non_pydantic` | Returns `False` for `str`, `int`, plain dataclass | +| `test_factory_create_flat_model` | Arrow struct with correct field types | +| `test_factory_create_model_with_uuid_field` | UUID field stripped to `large_binary` in struct (ET1) | +| `test_factory_create_model_with_list_field` | `list[str]` → `pa.large_list(pa.large_string())` | +| `test_factory_create_model_with_dict_field` | `dict[str, int]` → `list[struct{key, value}]` | +| `test_factory_rejects_local_class` | `ValueError` with `"local"` in message | +| `test_factory_reconstruct_from_arrow` | Read path rebuilds correct `PydanticLogicalType` | +| `test_factory_reconstruct_from_arrow_invalid_fqcn` | `ImportError` on bad FQCN | +| `test_reconstruct_from_arrow_registers_nested_types` | Nested model registered as side effect | +| `test_pydantic_python_to_storage_round_trip` | `python_to_storage` → `storage_to_python` → equivalent model | +| `test_pydantic_with_uuid_round_trip` | UUID field survives round-trip | +| `test_python_to_storage_raises_when_converter_none` | `ValueError` guard | +| `test_storage_to_python_raises_when_converter_none` | `ValueError` guard | +| `test_nested_pydantic_model_parquet_roundtrip` | Full Parquet write → fresh-converter read | +| `test_private_fields_not_stored` | Model with `PrivateAttr` — private field absent from Arrow struct | From 78ce5d00fca47744ba2b7ab0f6d88513c68a87f5 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 22:38:53 +0000 Subject: [PATCH 137/206] docs(plt-1731): add pydantic logical type factory implementation plan --- ...-plt-1731-pydantic-logical-type-factory.md | 1380 +++++++++++++++++ 1 file changed, 1380 insertions(+) create mode 100644 superpowers/plans/2026-06-17-plt-1731-pydantic-logical-type-factory.md diff --git a/superpowers/plans/2026-06-17-plt-1731-pydantic-logical-type-factory.md b/superpowers/plans/2026-06-17-plt-1731-pydantic-logical-type-factory.md new file mode 100644 index 00000000..27ff7e60 --- /dev/null +++ b/superpowers/plans/2026-06-17-plt-1731-pydantic-logical-type-factory.md @@ -0,0 +1,1380 @@ +# PLT-1731 Pydantic Logical Type Factory Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use sensei:subagent-driven-development (recommended) or sensei:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Implement `PydanticLogicalType` and `PydanticLogicalTypeFactory` for pydantic v2 `BaseModel` subclasses, following the same thin-leaf factory pattern as `DataclassLogicalTypeFactory`. + +**Architecture:** New `pydantic_logical_type_factory.py` mirrors `dataclass_logical_type_factory.py` with no cross-dependency between them. The FQCN walk loop shared by both factories is extracted into `type_utils._walk_fqcn`. Write path delegates all field-type resolution to `converter.register_python_class`; read path delegates to `converter.register_python_class` for the registration completeness invariant. Pydantic is an optional dependency — the factory is importable and `supports_class` returns `False` when pydantic is not installed. + +**Tech Stack:** Python 3.12, PyArrow, Polars, pydantic v2 (`model_fields`, `BaseModel`), `typing.get_type_hints` + +--- + +## File Map + +| File | Action | What changes | +|---|---|---| +| `pyproject.toml` | Modify | Add `pydantic = ["pydantic>=2.0"]` optional extra; add to `all` | +| `src/orcapod/extension_types/type_utils.py` | Modify | Add `_walk_fqcn` shared FQCN walk helper; update module docstring | +| `src/orcapod/extension_types/dataclass_logical_type_factory.py` | Modify | `_import_from_fqcn` delegates to `type_utils._walk_fqcn` | +| `src/orcapod/extension_types/pydantic_logical_type_factory.py` | **Create** | `PYDANTIC_CATEGORY`, `PydanticLogicalType`, `PydanticLogicalTypeFactory`, `_import_pydantic_model_from_fqcn` | +| `src/orcapod/extension_types/__init__.py` | Modify | Export `PYDANTIC_CATEGORY`, `PydanticLogicalType`, `PydanticLogicalTypeFactory` | +| `tests/test_extension_types/test_pydantic_logical_type_factory.py` | **Create** | Full test suite | +| `tests/test_extension_types/test_type_utils.py` | Modify | Add tests for `_walk_fqcn` | + +--- + +## Task 1: Add `pydantic` optional dependency + +**Files:** +- Modify: `pyproject.toml` + +- [ ] **Step 1: Add pydantic to optional extras** + +In `pyproject.toml`, find the `[project.optional-dependencies]` section. Add the `pydantic` entry and update `all` to include it: + +```toml +[project.optional-dependencies] +redis = ["redis>=6.2.0"] +ray = ["ray[default]==2.48.0", "ipywidgets>=8.1.7"] +postgresql = ["psycopg[binary]>=3.0"] +spiraldb = [ + "pyspiral>=0.11.0", +] +pydantic = ["pydantic>=2.0"] +all = ["orcapod[redis]", "orcapod[ray]", "orcapod[postgresql]", "orcapod[spiraldb]", "orcapod[pydantic]"] +``` + +- [ ] **Step 2: Install pydantic** + +```bash +uv sync --extra pydantic +``` + +Expected: pydantic installs without errors. + +- [ ] **Step 3: Verify pydantic is available** + +```bash +uv run python -c "import pydantic; print(pydantic.__version__)" +``` + +Expected: prints a version string starting with `2.`. + +- [ ] **Step 4: Commit** + +```bash +git add pyproject.toml +git commit -m "chore(deps): add pydantic>=2.0 as optional dependency" +``` + +--- + +## Task 2: Factor `_walk_fqcn` into `type_utils.py` + +**Files:** +- Modify: `src/orcapod/extension_types/type_utils.py` +- Modify: `src/orcapod/extension_types/dataclass_logical_type_factory.py` +- Modify: `tests/test_extension_types/test_type_utils.py` + +- [ ] **Step 1: Write failing tests for `_walk_fqcn`** + +Add to `tests/test_extension_types/test_type_utils.py`: + +```python +import dataclasses +import pytest + + +# ── _walk_fqcn tests ───────────────────────────────────────────────────────── + +def test_walk_fqcn_resolves_module_level_class(): + """_walk_fqcn resolves a top-level class from its FQCN.""" + from orcapod.extension_types.type_utils import _walk_fqcn + import pathlib + obj = _walk_fqcn("pathlib.Path") + assert obj is pathlib.Path + + +def test_walk_fqcn_resolves_nested_attribute(): + """_walk_fqcn walks nested attribute chains (e.g. module.Outer.Inner).""" + from orcapod.extension_types.type_utils import _walk_fqcn + import os.path + # os.path.join is a function reachable via attribute walk + obj = _walk_fqcn("os.path.join") + assert obj is os.path.join + + +def test_walk_fqcn_raises_import_error_on_bad_module(): + """_walk_fqcn raises ImportError when no module prefix can be imported.""" + from orcapod.extension_types.type_utils import _walk_fqcn + with pytest.raises(ImportError): + _walk_fqcn("nonexistent.module.NoSuchClass") + + +def test_walk_fqcn_raises_import_error_on_missing_attr(): + """_walk_fqcn raises ImportError when module exists but attribute does not.""" + from orcapod.extension_types.type_utils import _walk_fqcn + with pytest.raises(ImportError): + _walk_fqcn("pathlib.NoSuchClass") + + +def test_walk_fqcn_raises_import_error_on_single_part(): + """_walk_fqcn raises ImportError when FQCN has no module separator.""" + from orcapod.extension_types.type_utils import _walk_fqcn + with pytest.raises(ImportError): + _walk_fqcn("justname") +``` + +- [ ] **Step 2: Run tests to verify they fail** + +```bash +uv run pytest tests/test_extension_types/test_type_utils.py -k "walk_fqcn" -v +``` + +Expected: all 5 tests FAIL with `ImportError: cannot import name '_walk_fqcn'`. + +- [ ] **Step 3: Add `_walk_fqcn` to `type_utils.py`** + +Replace the full content of `src/orcapod/extension_types/type_utils.py` with: + +```python +"""Utility helpers for Python type annotation inspection and FQCN import. + +Used by the write-side registration trigger to extract leaf Python classes from +complex generic annotations like ``list[dict[A, list[B]]]``, and by logical type +factories to import classes from fully-qualified class names. +""" + +from __future__ import annotations + +import importlib +import typing +from typing import Any, Iterator + + +def _extract_leaf_classes(annotation: Any) -> Iterator[type]: + """Recursively yield all concrete leaf Python classes from a type annotation. + + Unwraps generic aliases (``list[T]``, ``dict[K, V]``, ``Optional[T]``, + ``Union[A, B]``, ``A | B``, etc.) using ``typing.get_origin`` and + ``typing.get_args`` and yields every non-generic leaf found. ``NoneType`` + that appears as a generic argument (from ``Optional`` and + ``Union[..., None]`` / ``T | None``) is skipped — callers see only the + concrete types. When ``type(None)`` is passed directly as the annotation, + it is yielded as-is. + + Non-type, non-generic values (e.g. unresolved string annotations) are + silently skipped. + + Args: + annotation: A Python type or generic alias to inspect. + + Yields: + Concrete Python ``type`` objects found at leaf positions. + + Examples: + >>> list(_extract_leaf_classes(list[int])) + [] + >>> set(_extract_leaf_classes(dict[str, list[MyClass]])) + {, } + """ + origin = typing.get_origin(annotation) + + if origin is None: + # Not a generic alias. Yield only if it is a plain type. + if isinstance(annotation, type): + yield annotation + return + + # Generic alias — recurse into every type argument, skipping NoneType. + for arg in typing.get_args(annotation): + if arg is type(None): + continue + yield from _extract_leaf_classes(arg) + + +def _walk_fqcn(fqcn: str) -> Any: + """Walk a fully-qualified class name and return the resolved object. + + Tries module prefixes from longest to shortest, then walks the remaining + parts as attribute accesses. For example: + + - ``"mypackage.sub.MyClass"`` → import ``mypackage.sub``, then + ``getattr(module, "MyClass")``. + - ``"mypackage.sub.Outer.Inner"`` → import ``mypackage.sub``, then + ``getattr(module, "Outer")``, then ``getattr(Outer, "Inner")``. + + Does **not** validate the type of the resolved object — callers are + responsible for checking that the result is the expected kind of object + (e.g. a dataclass, a ``BaseModel`` subclass). + + Args: + fqcn: Fully-qualified name, e.g. ``"mypackage.sub.MyClass"``. + + Returns: + The resolved Python object. + + Raises: + ImportError: If no valid module+attribute split can be found. + """ + parts = fqcn.split(".") + if len(parts) < 2: + raise ImportError(f"Cannot import from FQCN {fqcn!r}: no module separator found.") + + for i in range(len(parts) - 1, 0, -1): + module_path = ".".join(parts[:i]) + attr_parts = parts[i:] + try: + module = importlib.import_module(module_path) + except (ImportError, ModuleNotFoundError): + continue + obj: Any = module + try: + for attr in attr_parts: + obj = getattr(obj, attr) + except AttributeError: + continue + return obj + + raise ImportError( + f"Cannot import from FQCN {fqcn!r}: no valid module+attribute path found." + ) +``` + +- [ ] **Step 4: Run `_walk_fqcn` tests to verify they pass** + +```bash +uv run pytest tests/test_extension_types/test_type_utils.py -k "walk_fqcn" -v +``` + +Expected: all 5 tests PASS. + +- [ ] **Step 5: Update `_import_from_fqcn` in `dataclass_logical_type_factory.py` to delegate to `_walk_fqcn`** + +Replace the `_import_from_fqcn` function at the bottom of +`src/orcapod/extension_types/dataclass_logical_type_factory.py` with: + +```python +def _import_from_fqcn(fqcn: str) -> type: + """Import a dataclass from its fully-qualified class name. + + Delegates the module-prefix walk to ``type_utils._walk_fqcn``, then + validates the resolved object is a dataclass type. + + Args: + fqcn: Fully-qualified class name, e.g. ``"mypackage.sub.MyClass"``. + + Returns: + The imported dataclass type. + + Raises: + ImportError: If no valid module+attribute split can be found, or if the + resolved object is not a dataclass type. + """ + from orcapod.extension_types.type_utils import _walk_fqcn + + obj: Any = _walk_fqcn(fqcn) + if not dataclasses.is_dataclass(obj) or not isinstance(obj, type): + raise ImportError( + f"{fqcn!r} does not resolve to a dataclass type." + ) + return obj +``` + +Also remove the `import importlib` line at the top of the file since it is no longer used directly. + +- [ ] **Step 6: Run existing dataclass factory tests to verify no regression** + +```bash +uv run pytest tests/test_extension_types/test_dataclass_logical_type_factory.py -v +``` + +Expected: all tests PASS. + +- [ ] **Step 7: Commit** + +```bash +git add src/orcapod/extension_types/type_utils.py \ + src/orcapod/extension_types/dataclass_logical_type_factory.py \ + tests/test_extension_types/test_type_utils.py +git commit -m "refactor(type-utils): extract _walk_fqcn shared FQCN helper; delegate from _import_from_fqcn" +``` + +--- + +## Task 3: `PydanticLogicalType` + +**Files:** +- Create: `src/orcapod/extension_types/pydantic_logical_type_factory.py` +- Create: `tests/test_extension_types/test_pydantic_logical_type_factory.py` + +- [ ] **Step 1: Write failing tests for `PydanticLogicalType`** + +Create `tests/test_extension_types/test_pydantic_logical_type_factory.py`: + +```python +"""Tests for PydanticLogicalType and PydanticLogicalTypeFactory.""" + +from __future__ import annotations + +import uuid as _uuid_module +from typing import Any + +import pyarrow as pa +import pytest +from pydantic import BaseModel, PrivateAttr + + +# ── Helpers ────────────────────────────────────────────────────────────────── + +class _StubConverter: + """Minimal converter stub for PydanticLogicalType tests.""" + + def python_to_storage(self, value, annotation): + if annotation is str: + return str(value) + if annotation is int: + return int(value) + return value + + def storage_to_python(self, storage_value, annotation): + if annotation is str: + return str(storage_value) + if annotation is int: + return int(storage_value) + return storage_value + + def register_python_class(self, annotation): + if annotation is str: + return pa.large_string() + if annotation is int: + return pa.int64() + raise ValueError(f"No mapping for {annotation}") + + +# ── PydanticLogicalType tests ──────────────────────────────────────────────── + +def test_pydantic_logical_type_is_importable(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + assert PydanticLogicalType is not None + + +def test_pydantic_logical_type_protocol_conformance(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + from orcapod.extension_types.protocols import LogicalTypeProtocol + + class _MyModel(BaseModel): + name: str + count: int + + storage = pa.struct([pa.field("name", pa.large_string()), pa.field("count", pa.int64())]) + lt = PydanticLogicalType( + logical_name="tests._MyModel", + python_type=_MyModel, + storage_type=storage, + field_annotations=[("name", str), ("count", int)], + ) + assert isinstance(lt, LogicalTypeProtocol) + + +def test_pydantic_logical_type_python_to_storage(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + + class _Point(BaseModel): + x: int + y: int + + storage = pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]) + lt = PydanticLogicalType("tests._Point", _Point, storage, [("x", int), ("y", int)]) + converter = _StubConverter() + + result = lt.python_to_storage(_Point(x=3, y=7), converter) + assert result == {"x": 3, "y": 7} + + +def test_pydantic_logical_type_storage_to_python(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + + class _Point(BaseModel): + x: int + y: int + + storage = pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]) + lt = PydanticLogicalType("tests._Point2", _Point, storage, [("x", int), ("y", int)]) + converter = _StubConverter() + + result = lt.storage_to_python({"x": 3, "y": 7}, converter) + assert isinstance(result, _Point) + assert result.x == 3 + assert result.y == 7 + + +def test_pydantic_logical_type_logical_type_name(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + + class _Foo(BaseModel): + val: str + + storage = pa.struct([pa.field("val", pa.large_string())]) + lt = PydanticLogicalType("mymod.Foo", _Foo, storage, [("val", str)]) + assert lt.logical_type_name == "mymod.Foo" + + +def test_pydantic_logical_type_python_type(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + + class _Bar(BaseModel): + val: str + + storage = pa.struct([pa.field("val", pa.large_string())]) + lt = PydanticLogicalType("mymod.Bar", _Bar, storage, [("val", str)]) + assert lt.python_type is _Bar + + +def test_python_to_storage_raises_when_converter_none(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + + class _DC(BaseModel): + x: int + + storage = pa.struct([pa.field("x", pa.int64())]) + lt = PydanticLogicalType("mymod._DC", _DC, storage, [("x", int)]) + with pytest.raises(ValueError, match="converter"): + lt.python_to_storage(_DC(x=1), None) + + +def test_storage_to_python_raises_when_converter_none(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + + class _DC2(BaseModel): + x: int + + storage = pa.struct([pa.field("x", pa.int64())]) + lt = PydanticLogicalType("mymod._DC2", _DC2, storage, [("x", int)]) + with pytest.raises(ValueError, match="converter"): + lt.storage_to_python({"x": 1}, None) +``` + +- [ ] **Step 2: Run tests to verify they fail** + +```bash +uv run pytest tests/test_extension_types/test_pydantic_logical_type_factory.py -v +``` + +Expected: all tests FAIL with `ModuleNotFoundError: No module named 'orcapod.extension_types.pydantic_logical_type_factory'`. + +- [ ] **Step 3: Create `pydantic_logical_type_factory.py` with `PydanticLogicalType`** + +Create `src/orcapod/extension_types/pydantic_logical_type_factory.py`: + +```python +"""PydanticLogicalType and PydanticLogicalTypeFactory. + +Provides the ``PydanticLogicalType`` logical type implementation and the +``PydanticLogicalTypeFactory`` that synthesises and reconstructs +``PydanticLogicalType`` instances for pydantic v2 ``BaseModel`` subclasses. + +Write path (``create_for_python_type``): + Iterates model fields via ``model_fields`` (pydantic v2 API), delegates + field Arrow-type resolution to the converter via ``register_python_class``, + and returns a ``PydanticLogicalType`` backed by a ``pa.struct`` extension + type. + +Read path (``reconstruct_from_arrow``): + Imports the model by fully-qualified class name, resolves field annotations + against the (already bottom-up resolved) storage type, and returns a + ``PydanticLogicalType``. + +Category tag: ``"orcapod.pydantic"`` +""" + +from __future__ import annotations + +import json +import logging +from typing import TYPE_CHECKING, Any + +from orcapod.extension_types.registry import make_arrow_extension_type, make_polars_extension_type +from orcapod.extension_types.type_utils import _walk_fqcn +from orcapod.utils.lazy_module import LazyModule + +if TYPE_CHECKING: + import polars as pl + import pyarrow as pa + from orcapod.extension_types.protocols import TypeConverterProtocol +else: + pa = LazyModule("pyarrow") + pl = LazyModule("polars") + +logger = logging.getLogger(__name__) + +#: Category tag embedded in Arrow extension metadata. Used as the factory dispatch key. +PYDANTIC_CATEGORY = "orcapod.pydantic" + + +class PydanticLogicalType: + """Logical type binding a pydantic ``BaseModel`` subclass to its Arrow extension type. + + Stores the model's fully-qualified class name as the Arrow extension name + and a ``pa.struct`` of the model fields as the storage type. + + No Arrow-type reasoning lives here — all field-type resolution is owned by + the converter and completed before this object is constructed. + + Args: + logical_name: Fully-qualified class name (e.g. ``"mymodule.sub.MyModel"``). + Used as both the logical type name and the Arrow extension name. + python_type: The pydantic ``BaseModel`` subclass. + storage_type: The Arrow ``pa.StructType`` for the model fields. + field_annotations: Ordered list of ``(field_name, python_annotation)`` + pairs matching the fields in ``storage_type``. + + Example: + >>> lt = PydanticLogicalType( + ... "mymod.Point", Point, + ... pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]), + ... [("x", int), ("y", int)], + ... ) + >>> lt.python_to_storage(Point(x=1, y=2), converter) + {"x": 1, "y": 2} + """ + + def __init__( + self, + logical_name: str, + python_type: type, + storage_type: pa.StructType, + field_annotations: list[tuple[str, Any]], + ) -> None: + self._logical_name = logical_name + self._python_type = python_type + self._storage_type = storage_type + self._field_annotations = field_annotations + + _metadata = json.dumps({"category": PYDANTIC_CATEGORY}).encode("utf-8") + self._arrow_ext_class = make_arrow_extension_type( + logical_name, storage_type, metadata=_metadata + ) + self._arrow_ext: pa.ExtensionType | None = None + # ``storage_type`` must not contain nested extension types (ET1 in DESIGN_ISSUES.md). + # On the write path, ``PydanticLogicalTypeFactory.create_for_python_type`` strips any + # top-level extension type from each field's Arrow type before inserting it into the + # struct. On the read path, ``reconstruct_from_arrow`` receives a ``storage_type`` + # already guaranteed storage-safe by ``register_storage_type``. + self._polars_ext_class = make_polars_extension_type(logical_name, storage_type) + self._polars_ext: pl.BaseExtension | None = None + + @property + def logical_type_name(self) -> str: + """Fully-qualified class name used as the logical type identifier.""" + return self._logical_name + + @property + def python_type(self) -> type: + """The pydantic ``BaseModel`` subclass this logical type represents.""" + return self._python_type + + def get_arrow_extension_type(self) -> pa.ExtensionType: + """Return the Arrow extension type for this model. + + Returns: + A cached ``pa.ExtensionType`` instance with ``extension_name`` equal to + the fully-qualified class name and ``storage_type`` equal to the struct + of the model fields. + """ + if self._arrow_ext is None: + self._arrow_ext = self._arrow_ext_class() + return self._arrow_ext + + def get_polars_extension_type(self) -> pl.BaseExtension: + """Return the Polars extension type for this model. + + Returns: + A cached ``pl.BaseExtension`` instance. + """ + if self._polars_ext is None: + self._polars_ext = self._polars_ext_class() + return self._polars_ext + + def python_to_storage(self, value: Any, converter: TypeConverterProtocol | None) -> dict[str, Any]: + """Convert a pydantic model instance to an Arrow-compatible struct dict. + + Iterates ``_field_annotations`` and delegates each field's conversion to + ``converter.python_to_storage``. + + Args: + value: A pydantic model instance of type ``python_type``. + converter: The active converter for per-field delegation. Must not be ``None``. + + Returns: + A dict mapping field names to their Arrow storage values. + + Raises: + ValueError: If ``converter`` is ``None``. + """ + if converter is None: + raise ValueError( + "PydanticLogicalType.python_to_storage requires a converter — " + "pass a TypeConverterProtocol instance for field-level conversion." + ) + return { + name: converter.python_to_storage(getattr(value, name), annotation) + for name, annotation in self._field_annotations + } + + def storage_to_python(self, storage_value: Any, converter: TypeConverterProtocol | None) -> Any: + """Reconstruct a pydantic model instance from an Arrow struct dict. + + Args: + storage_value: A dict mapping field names to Arrow storage values. + converter: The active converter for per-field delegation. Must not be ``None``. + + Returns: + A pydantic model instance of type ``python_type``. Pydantic validation + runs on construction, ensuring the model is always in a valid state. + + Raises: + ValueError: If ``converter`` is ``None``. + """ + if converter is None: + raise ValueError( + "PydanticLogicalType.storage_to_python requires a converter — " + "pass a TypeConverterProtocol instance for field-level conversion." + ) + kwargs = { + name: converter.storage_to_python(storage_value[name], annotation) + for name, annotation in self._field_annotations + } + return self._python_type(**kwargs) +``` + +- [ ] **Step 4: Run `PydanticLogicalType` tests to verify they pass** + +```bash +uv run pytest tests/test_extension_types/test_pydantic_logical_type_factory.py \ + -k "not factory" -v +``` + +Expected: all 8 `PydanticLogicalType` tests PASS. + +- [ ] **Step 5: Commit** + +```bash +git add src/orcapod/extension_types/pydantic_logical_type_factory.py \ + tests/test_extension_types/test_pydantic_logical_type_factory.py +git commit -m "feat(pydantic-factory): add PydanticLogicalType" +``` + +--- + +## Task 4: `PydanticLogicalTypeFactory` — write path + +**Files:** +- Modify: `src/orcapod/extension_types/pydantic_logical_type_factory.py` +- Modify: `tests/test_extension_types/test_pydantic_logical_type_factory.py` + +- [ ] **Step 1: Add module-level models and write-path tests to the test file** + +Append to `tests/test_extension_types/test_pydantic_logical_type_factory.py`: + +```python +# ── Module-level models for factory tests ──────────────────────────────────── +# Must be at module scope (not inside functions) so FQCN reconstruction works. + +class _FlatModel(BaseModel): + name: str + count: int + + +class _ModelWithUUID(BaseModel): + id: _uuid_module.UUID + label: str + + +class _ModelWithList(BaseModel): + tags: list[str] + count: int + + +class _ModelWithDict(BaseModel): + meta: dict[str, int] + + +class _InnerModel(BaseModel): + value: int + + +class _OuterModel(BaseModel): + inner: _InnerModel + label: str + + +class _ModelWithPrivateAttr(BaseModel): + name: str + _cache: str = PrivateAttr(default="") + + +# ── Factory helper ──────────────────────────────────────────────────────────── + +def _make_full_converter(): + """Make a UniversalTypeConverter with builtin types + PydanticLogicalTypeFactory.""" + from pydantic import BaseModel as _BaseModel + from orcapod.extension_types.builtin_logical_types import LogicalPath, LogicalUUID, LogicalUPath + from orcapod.extension_types.registry import LogicalTypeRegistry + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory, PYDANTIC_CATEGORY + from orcapod.semantic_types.universal_converter import UniversalTypeConverter + + registry = LogicalTypeRegistry(logical_types=[LogicalPath(), LogicalUUID(), LogicalUPath()]) + factory = PydanticLogicalTypeFactory() + registry.register_logical_type_factory(factory, category=PYDANTIC_CATEGORY, python_bases=[_BaseModel]) + return UniversalTypeConverter(logical_type_registry=registry) + + +# ── PydanticLogicalTypeFactory write-path tests ─────────────────────────────── + +def test_factory_supports_class_pydantic_model(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + factory = PydanticLogicalTypeFactory() + assert factory.supports_class(_FlatModel) is True + + +def test_factory_supports_class_non_pydantic(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + import dataclasses + + @dataclasses.dataclass + class _DC: + x: int + + factory = PydanticLogicalTypeFactory() + assert factory.supports_class(str) is False + assert factory.supports_class(int) is False + assert factory.supports_class(_DC) is False + + +def test_factory_create_flat_model(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory, PydanticLogicalType + + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_FlatModel, converter=converter) + + assert isinstance(lt, PydanticLogicalType) + storage = lt.get_arrow_extension_type().storage_type + assert pa.types.is_struct(storage) + assert storage.field("name").type == pa.large_string() + assert storage.field("count").type == pa.int64() + + +def test_factory_create_model_with_uuid_field(): + """UUID field → plain storage type (large_binary) in the struct, not extension type (ET1).""" + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_ModelWithUUID, converter=converter) + + storage = lt.get_arrow_extension_type().storage_type + id_field_type = storage.field("id").type + assert id_field_type == pa.large_binary() + assert not isinstance(id_field_type, pa.ExtensionType) + + +def test_factory_create_model_with_list_field(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_ModelWithList, converter=converter) + + storage = lt.get_arrow_extension_type().storage_type + assert pa.types.is_large_list(storage.field("tags").type) + assert storage.field("tags").type.value_type == pa.large_string() + + +def test_factory_create_model_with_dict_field(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_ModelWithDict, converter=converter) + + storage = lt.get_arrow_extension_type().storage_type + meta_type = storage.field("meta").type + assert pa.types.is_large_list(meta_type) + assert pa.types.is_struct(meta_type.value_type) + field_names = {meta_type.value_type.field(i).name for i in range(meta_type.value_type.num_fields)} + assert field_names == {"key", "value"} + + +def test_factory_rejects_local_class(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + def _make_local(): + class _Local(BaseModel): + x: int + return _Local + + LocalModel = _make_local() + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + with pytest.raises(ValueError, match="local"): + factory.create_for_python_type(LocalModel, converter=converter) + + +def test_private_fields_not_stored(): + """Private attributes (PrivateAttr) must not appear in the Arrow struct.""" + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_ModelWithPrivateAttr, converter=converter) + + storage = lt.get_arrow_extension_type().storage_type + field_names = {storage.field(i).name for i in range(storage.num_fields)} + assert "name" in field_names + assert "_cache" not in field_names + assert storage.num_fields == 1 +``` + +- [ ] **Step 2: Run tests to verify they fail** + +```bash +uv run pytest tests/test_extension_types/test_pydantic_logical_type_factory.py \ + -k "factory" -v 2>&1 | head -30 +``` + +Expected: all factory tests FAIL with `ImportError: cannot import name 'PydanticLogicalTypeFactory'`. + +- [ ] **Step 3: Add `PydanticLogicalTypeFactory` and `_import_pydantic_model_from_fqcn` to the module** + +Append to `src/orcapod/extension_types/pydantic_logical_type_factory.py`: + +```python + +class PydanticLogicalTypeFactory: + """Stateless factory that synthesises and reconstructs ``PydanticLogicalType`` instances. + + **Write path** (``create_for_python_type``): derives Arrow struct type from the + model fields by delegating to ``converter.register_python_class`` per field. + Only fields in ``model_fields`` are stored — computed fields and private + attributes are excluded. + + **Read path** (``reconstruct_from_arrow``): imports the model by FQCN, matches + fields against the already-resolved ``storage_type``, and returns a + ``PydanticLogicalType``. + + Category tag: ``"orcapod.pydantic"`` + + Register with:: + + from pydantic import BaseModel + converter.register_logical_type_factory( + PydanticLogicalTypeFactory(), + category="orcapod.pydantic", + python_bases=[BaseModel], + ) + + Example: + >>> factory = PydanticLogicalTypeFactory() + >>> factory.supports_class(MyModel) + True + >>> factory.supports_class(str) + False + """ + + def supports_class(self, python_type: type) -> bool: + """Return True if ``python_type`` is a pydantic ``BaseModel`` subclass. + + Args: + python_type: Any Python type. + + Returns: + True if pydantic is installed and ``python_type`` is a ``BaseModel`` + subclass. False if pydantic is not installed. + """ + try: + from pydantic import BaseModel + except ImportError: + return False + return isinstance(python_type, type) and issubclass(python_type, BaseModel) + + def create_for_python_type( + self, + python_type: type, + converter: TypeConverterProtocol, + ) -> PydanticLogicalType: + """Synthesise a ``PydanticLogicalType`` for a pydantic model (write path). + + Derives the FQCN, obtains type hints, and resolves each field's Arrow type + via ``converter.register_python_class``. Only fields present in + ``model_fields`` are stored — computed fields and private attributes are + excluded. Rejects local / unnamed classes. + + Args: + python_type: A pydantic ``BaseModel`` subclass. + converter: The active converter for field-type resolution. + + Returns: + A ``PydanticLogicalType`` ready for registration. + + Raises: + ValueError: If ``python_type`` is a local class (``__qualname__`` contains + ``""``). + """ + import typing + + fqcn = f"{python_type.__module__}.{python_type.__qualname__}" + if "" in fqcn: + raise ValueError( + f"Cannot register local class {python_type!r} as a PydanticLogicalType — " + f"local classes have no stable fully-qualified class name and cannot be " + f"reconstructed on read. Define the model at module level." + ) + + try: + hints = typing.get_type_hints(python_type) + except Exception as exc: + raise ValueError( + f"Cannot get type hints for {python_type!r}: {exc}" + ) from exc + + arrow_fields = [] + field_annotations = [] + for field_name in python_type.model_fields: + annotation = hints.get(field_name, Any) + arrow_type = converter.register_python_class(annotation) + # Strip top-level extension type before inserting into the struct (ET1; + # see DESIGN_ISSUES.md): Arrow cannot represent extension types inside + # struct field types. + if isinstance(arrow_type, pa.ExtensionType): + arrow_type = arrow_type.storage_type + arrow_fields.append(pa.field(field_name, arrow_type)) + field_annotations.append((field_name, annotation)) + + storage_type = pa.struct(arrow_fields) + logger.debug("PydanticLogicalTypeFactory: synthesised %r for %r", fqcn, python_type) + return PydanticLogicalType(fqcn, python_type, storage_type, field_annotations) + + def reconstruct_from_arrow( + self, + arrow_extension_name: str, + storage_type: pa.DataType, + metadata: dict[str, Any], + converter: TypeConverterProtocol, + ) -> PydanticLogicalType: + """Reconstruct a ``PydanticLogicalType`` from Arrow schema metadata (read path). + + Imports the model from its FQCN (``arrow_extension_name``), then matches + the model field annotations against the fields in ``storage_type``. + ``storage_type`` is already bottom-up resolved by ``register_storage_type`` + before this method is called. + + Args: + arrow_extension_name: FQCN of the pydantic model (Arrow extension name). + storage_type: Already-resolved ``pa.StructType`` for the model fields. + metadata: Full parsed metadata JSON dict (always contains ``"category"``). + converter: The active converter (used for registration completeness invariant). + + Returns: + A ``PydanticLogicalType`` ready for registration. + + Raises: + ImportError: If the class cannot be imported from ``arrow_extension_name``. + ValueError: If ``storage_type`` is not a struct type. + """ + import typing + + if not pa.types.is_struct(storage_type): + raise ValueError( + f"PydanticLogicalTypeFactory.reconstruct_from_arrow: expected a struct " + f"storage type for {arrow_extension_name!r}, got {storage_type!r}." + ) + + cls = _import_pydantic_model_from_fqcn(arrow_extension_name) + + try: + hints = typing.get_type_hints(cls) + except Exception as exc: + raise ValueError( + f"Cannot get type hints for {cls!r}: {exc}" + ) from exc + + field_annotations = [] + for field_name in cls.model_fields: + annotation = hints.get(field_name, Any) + # Register any logical type the field annotation maps to (registration + # completeness invariant: all nested logical types must be registered when + # the outer type is registered). The return value is discarded. + converter.register_python_class(annotation) + field_annotations.append((field_name, annotation)) + + logger.debug( + "PydanticLogicalTypeFactory: reconstructed %r from Arrow", arrow_extension_name + ) + return PydanticLogicalType( + arrow_extension_name, cls, storage_type, field_annotations + ) + + +def _import_pydantic_model_from_fqcn(fqcn: str) -> type: + """Import a pydantic ``BaseModel`` subclass from its fully-qualified class name. + + Delegates the module-prefix walk to ``type_utils._walk_fqcn``, then + validates the resolved object is a ``BaseModel`` subclass. + + Args: + fqcn: Fully-qualified class name, e.g. ``"mypackage.sub.MyModel"``. + + Returns: + The imported ``BaseModel`` subclass. + + Raises: + ImportError: If no valid module+attribute split can be found, or if the + resolved object is not a ``BaseModel`` subclass. + """ + from pydantic import BaseModel + + obj: Any = _walk_fqcn(fqcn) + if not (isinstance(obj, type) and issubclass(obj, BaseModel)): + raise ImportError( + f"{fqcn!r} does not resolve to a pydantic BaseModel subclass." + ) + return obj +``` + +- [ ] **Step 4: Run write-path tests to verify they pass** + +```bash +uv run pytest tests/test_extension_types/test_pydantic_logical_type_factory.py \ + -k "factory" -v +``` + +Expected: all write-path factory tests PASS (reconstruct tests will still fail — that's fine for now). + +- [ ] **Step 5: Commit** + +```bash +git add src/orcapod/extension_types/pydantic_logical_type_factory.py \ + tests/test_extension_types/test_pydantic_logical_type_factory.py +git commit -m "feat(pydantic-factory): add PydanticLogicalTypeFactory write path" +``` + +--- + +## Task 5: Read path, round-trip tests, and Parquet integration + +**Files:** +- Modify: `tests/test_extension_types/test_pydantic_logical_type_factory.py` + +The `reconstruct_from_arrow` implementation is already in place from Task 4. This task adds the remaining tests that exercise the read path, value round-trips, and Parquet end-to-end. + +- [ ] **Step 1: Add module-level models for read-path and round-trip tests** + +Append to `tests/test_extension_types/test_pydantic_logical_type_factory.py` (after the write-path tests): + +```python +# ── Module-level models for read-path and round-trip tests ─────────────────── + +class _RoundTripPoint(BaseModel): + x: int + y: int + + +class _RoundTripRecord(BaseModel): + record_id: _uuid_module.UUID + label: str +``` + +- [ ] **Step 2: Add read-path and round-trip tests** + +Append to `tests/test_extension_types/test_pydantic_logical_type_factory.py`: + +```python +# ── PydanticLogicalTypeFactory read-path tests ──────────────────────────────── + +def test_factory_reconstruct_from_arrow(): + """reconstruct_from_arrow rebuilds the logical type from the Arrow struct.""" + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory, PydanticLogicalType + + storage = pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]) + metadata = {"category": "orcapod.pydantic"} + fqcn = f"{_RoundTripPoint.__module__}.{_RoundTripPoint.__qualname__}" + + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + lt = factory.reconstruct_from_arrow(fqcn, storage, metadata, converter=converter) + + assert isinstance(lt, PydanticLogicalType) + assert lt.python_type is _RoundTripPoint + assert lt.logical_type_name == fqcn + + +def test_factory_reconstruct_from_arrow_invalid_fqcn(): + """ImportError if the FQCN cannot be resolved.""" + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + storage = pa.struct([pa.field("x", pa.int64())]) + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + + with pytest.raises(ImportError): + factory.reconstruct_from_arrow( + "nonexistent.module.NoSuchModel", storage, {"category": "orcapod.pydantic"}, converter + ) + + +def test_reconstruct_from_arrow_registers_nested_types(): + """reconstruct_from_arrow for Outer must register Inner as a side effect.""" + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + inner_storage = pa.struct([pa.field("value", pa.int64())]) + outer_storage = pa.struct([ + pa.field("inner", inner_storage), + pa.field("label", pa.large_string()), + ]) + outer_fqcn = f"{_OuterModel.__module__}.{_OuterModel.__qualname__}" + + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + + # Inner is NOT pre-registered + assert converter._logical_type_registry.get_by_python_type(_InnerModel) is None + + factory.reconstruct_from_arrow(outer_fqcn, outer_storage, {"category": "orcapod.pydantic"}, converter) + + # Inner must now be registered as a side effect + assert converter._logical_type_registry.get_by_python_type(_InnerModel) is not None + + +# ── Value round-trip tests ──────────────────────────────────────────────────── + +def test_pydantic_python_to_storage_round_trip(): + """python_to_storage → storage_to_python returns an equivalent model.""" + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + converter = _make_full_converter() + factory = PydanticLogicalTypeFactory() + lt = factory.create_for_python_type(_RoundTripPoint, converter=converter) + converter.register_logical_type(lt) + + point = _RoundTripPoint(x=10, y=20) + storage_value = lt.python_to_storage(point, converter) + assert storage_value == {"x": 10, "y": 20} + + reconstructed = lt.storage_to_python(storage_value, converter) + assert isinstance(reconstructed, _RoundTripPoint) + assert reconstructed.x == 10 + assert reconstructed.y == 20 + + +def test_pydantic_with_uuid_round_trip(): + """Round-trip a pydantic model with a UUID field.""" + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + converter = _make_full_converter() + factory = PydanticLogicalTypeFactory() + lt = factory.create_for_python_type(_RoundTripRecord, converter=converter) + converter.register_logical_type(lt) + + u = _uuid_module.UUID("12345678-1234-5678-1234-567812345678") + record = _RoundTripRecord(record_id=u, label="hello") + + storage_value = lt.python_to_storage(record, converter) + assert storage_value["label"] == "hello" + assert storage_value["record_id"] == u.bytes + + reconstructed = lt.storage_to_python(storage_value, converter) + assert isinstance(reconstructed, _RoundTripRecord) + assert reconstructed.record_id == u + assert reconstructed.label == "hello" + + +# ── Parquet integration test ────────────────────────────────────────────────── + +def test_nested_pydantic_model_parquet_roundtrip(tmp_path): + """Fresh-process Parquet round-trip for a two-level nested pydantic model. + + Verifies that register_discovered_extensions triggers the chain: + register_arrow_extension("Outer") -> reconstruct_from_arrow + -> register_python_class(Inner) -> registers Inner + so that storage_to_python can reconstruct the full nested object. + """ + import pyarrow.parquet as pq + from orcapod.extension_types.database_hooks import register_discovered_extensions, apply_extension_types + + # ── Write path ─────────────────────────────────────────────────────────── + write_converter = _make_full_converter() + + inner = _InnerModel(value=42) + outer = _OuterModel(inner=inner, label="hello") + + write_converter.register_python_class(_OuterModel) + + arrow_schema = write_converter.python_schema_to_arrow_schema({"item": _OuterModel}) + rows = [{"item": outer}] + table = write_converter.python_dicts_to_arrow_table(rows, arrow_schema=arrow_schema) + + parquet_path = tmp_path / "nested_pydantic.parquet" + pq.write_table(table, parquet_path) + + # ── Read path (fresh converter — neither Inner nor Outer pre-registered) ── + read_converter = _make_full_converter() + read_table = pq.read_table(parquet_path) + + register_discovered_extensions(read_converter, read_table.schema) + read_table = apply_extension_types(read_table, read_converter._logical_type_registry) + + assert read_converter._logical_type_registry.get_by_python_type(_OuterModel) is not None + assert read_converter._logical_type_registry.get_by_python_type(_InnerModel) is not None + + rows_out = read_converter.arrow_table_to_python_dicts(read_table) + assert len(rows_out) == 1 + reconstructed = rows_out[0]["item"] + assert isinstance(reconstructed, _OuterModel) + assert isinstance(reconstructed.inner, _InnerModel) + assert reconstructed.inner.value == 42 + assert reconstructed.label == "hello" +``` + +- [ ] **Step 3: Run all tests for the new factory** + +```bash +uv run pytest tests/test_extension_types/test_pydantic_logical_type_factory.py -v +``` + +Expected: all tests PASS. + +- [ ] **Step 4: Commit** + +```bash +git add tests/test_extension_types/test_pydantic_logical_type_factory.py +git commit -m "test(pydantic-factory): add read-path, round-trip, and Parquet integration tests" +``` + +--- + +## Task 6: Export from `__init__.py` and full test suite + +**Files:** +- Modify: `src/orcapod/extension_types/__init__.py` + +- [ ] **Step 1: Add exports to `__init__.py`** + +In `src/orcapod/extension_types/__init__.py`, add the pydantic import and update `__all__`: + +```python +from .pydantic_logical_type_factory import PYDANTIC_CATEGORY, PydanticLogicalType, PydanticLogicalTypeFactory +``` + +Add to `__all__`: + +```python + # PLT-1731 + "PYDANTIC_CATEGORY", + "PydanticLogicalType", + "PydanticLogicalTypeFactory", +``` + +The full updated `__init__.py` should be: + +```python +"""Arrow/Polars extension type system for orcapod. + +This subpackage provides the registry and protocol for logical types that map +between Python objects and their Arrow/Polars extension type representation. + +Built-in registrations (``LogicalPath``, ``LogicalUPath``, ``LogicalUUID``) are +wired into ``DataContext`` via ``contexts/data/v0.1.json``. Use +``get_default_context().type_converter.register_python_class()`` to register new +types, ``register_logical_type_factory()`` to add factories, and +``apply_extension_types()`` to re-wrap Arrow tables with their registered extension types. + +``DataclassLogicalTypeFactory`` provides automatic registration for Python dataclasses: +register it with a ``LogicalTypeRegistry`` and any dataclass used in a ``FunctionPod`` +will be auto-registered on pod declaration. + +``PydanticLogicalTypeFactory`` provides automatic registration for pydantic v2 +``BaseModel`` subclasses: register it with a ``LogicalTypeRegistry`` using +``python_bases=[BaseModel]`` and any model used in a ``FunctionPod`` will be +auto-registered on pod declaration. Requires the ``pydantic`` optional extra. +""" + +from __future__ import annotations + +from .protocols import LogicalTypeProtocol, LogicalTypeFactoryProtocol +from .registry import LogicalTypeRegistry, make_arrow_extension_type, make_polars_extension_type +from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema +from .database_hooks import apply_extension_types, register_discovered_extensions +from .dataclass_logical_type_factory import DATACLASS_CATEGORY, DataclassLogicalType, DataclassLogicalTypeFactory +from .pydantic_logical_type_factory import PYDANTIC_CATEGORY, PydanticLogicalType, PydanticLogicalTypeFactory + +__all__ = [ + "LogicalTypeProtocol", + "LogicalTypeFactoryProtocol", + "LogicalTypeRegistry", + "make_arrow_extension_type", + "make_polars_extension_type", + # PLT-1654 + "ExtensionTypeInfo", + "walk_schema", + "walk_field", + # PLT-1655 + "register_discovered_extensions", + "apply_extension_types", + # PLT-1705 + "DATACLASS_CATEGORY", + "DataclassLogicalType", + "DataclassLogicalTypeFactory", + # PLT-1731 + "PYDANTIC_CATEGORY", + "PydanticLogicalType", + "PydanticLogicalTypeFactory", +] +``` + +- [ ] **Step 2: Verify the exports are importable** + +```bash +uv run python -c " +from orcapod.extension_types import ( + PYDANTIC_CATEGORY, PydanticLogicalType, PydanticLogicalTypeFactory +) +print('PYDANTIC_CATEGORY:', PYDANTIC_CATEGORY) +print('PydanticLogicalType:', PydanticLogicalType) +print('PydanticLogicalTypeFactory:', PydanticLogicalTypeFactory) +" +``` + +Expected output: +``` +PYDANTIC_CATEGORY: orcapod.pydantic +PydanticLogicalType: +PydanticLogicalTypeFactory: +``` + +- [ ] **Step 3: Run the full extension_types test suite** + +```bash +uv run pytest tests/test_extension_types/ -v +``` + +Expected: all tests PASS with no regressions. + +- [ ] **Step 4: Run the full test suite** + +```bash +uv run pytest tests/ -x -q +``` + +Expected: all tests PASS. + +- [ ] **Step 5: Commit** + +```bash +git add src/orcapod/extension_types/__init__.py +git commit -m "feat(pydantic-factory): export PydanticLogicalType and PydanticLogicalTypeFactory from extension_types" +``` From cd6421f12ab98c80f928d99464d9906677d75dd8 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 22:41:55 +0000 Subject: [PATCH 138/206] chore(deps): add pydantic>=2.0 as optional dependency --- pyproject.toml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 56ebeeba..1dcf0100 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -47,7 +47,8 @@ postgresql = ["psycopg[binary]>=3.0"] spiraldb = [ "pyspiral>=0.14.0", ] -all = ["orcapod[redis]", "orcapod[ray]", "orcapod[postgresql]", "orcapod[spiraldb]"] +pydantic = ["pydantic>=2.0"] +all = ["orcapod[redis]", "orcapod[ray]", "orcapod[postgresql]", "orcapod[spiraldb]", "orcapod[pydantic]"] [tool.hatch.version] From 09138308ff15feaccf7cb7910f74f3131194eb69 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 22:41:57 +0000 Subject: [PATCH 139/206] chore(deps): update lock file after adding pydantic --- uv.lock | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/uv.lock b/uv.lock index b57795d9..04007432 100644 --- a/uv.lock +++ b/uv.lock @@ -2317,6 +2317,7 @@ dependencies = [ all = [ { name = "ipywidgets" }, { name = "psycopg", extra = ["binary"] }, + { name = "pydantic" }, { name = "pyspiral" }, { name = "ray", extra = ["default"] }, { name = "redis" }, @@ -2324,6 +2325,9 @@ all = [ postgresql = [ { name = "psycopg", extra = ["binary"] }, ] +pydantic = [ + { name = "pydantic" }, +] ray = [ { name = "ipywidgets" }, { name = "ray", extra = ["default"] }, @@ -2380,6 +2384,8 @@ requires-dist = [ { name = "psycopg", extras = ["binary"], marker = "extra == 'all'", specifier = ">=3.0" }, { name = "psycopg", extras = ["binary"], marker = "extra == 'postgresql'", specifier = ">=3.0" }, { name = "pyarrow", specifier = ">=20.0.0" }, + { name = "pydantic", marker = "extra == 'all'", specifier = ">=2.0" }, + { name = "pydantic", marker = "extra == 'pydantic'", specifier = ">=2.0" }, { name = "pygraphviz", specifier = ">=1.14" }, { name = "pymongo", specifier = ">=4.15.5" }, { name = "pyspiral", marker = "extra == 'all'", specifier = ">=0.14.0" }, @@ -2397,7 +2403,7 @@ requires-dist = [ { name = "uuid-utils", specifier = ">=0.11.1" }, { name = "xxhash" }, ] -provides-extras = ["all", "postgresql", "ray", "redis", "spiraldb"] +provides-extras = ["all", "postgresql", "pydantic", "ray", "redis", "spiraldb"] [package.metadata.requires-dev] dev = [ From 3df34fe4b23252895c4ff89c5559d92765034d93 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 22:45:20 +0000 Subject: [PATCH 140/206] refactor(type-utils): extract _walk_fqcn shared FQCN helper; delegate from _import_from_fqcn Co-Authored-By: Claude Sonnet 4.6 --- .../dataclass_logical_type_factory.py | 46 ++++------------ src/orcapod/extension_types/type_utils.py | 54 ++++++++++++++++++- tests/test_extension_types/test_type_utils.py | 44 +++++++++++++++ 3 files changed, 106 insertions(+), 38 deletions(-) diff --git a/src/orcapod/extension_types/dataclass_logical_type_factory.py b/src/orcapod/extension_types/dataclass_logical_type_factory.py index c55f6849..5633ffd7 100644 --- a/src/orcapod/extension_types/dataclass_logical_type_factory.py +++ b/src/orcapod/extension_types/dataclass_logical_type_factory.py @@ -20,7 +20,6 @@ from __future__ import annotations import dataclasses -import importlib import json import logging from typing import TYPE_CHECKING, Any @@ -339,15 +338,10 @@ def reconstruct_from_arrow( def _import_from_fqcn(fqcn: str) -> type: - """Import a class from its fully-qualified class name. + """Import a dataclass from its fully-qualified class name. - Tries module prefixes from longest to shortest, then walks the remaining - parts as attribute access. For example: - - - ``"mypackage.sub.MyClass"`` → import ``mypackage.sub``, then - ``getattr(module, "MyClass")``. - - ``"mypackage.sub.Outer.Inner"`` → import ``mypackage.sub``, then - ``getattr(module, "Outer")``, then ``getattr(Outer, "Inner")``. + Delegates the module-prefix walk to ``type_utils._walk_fqcn``, then + validates the resolved object is a dataclass type. Args: fqcn: Fully-qualified class name, e.g. ``"mypackage.sub.MyClass"``. @@ -359,31 +353,11 @@ def _import_from_fqcn(fqcn: str) -> type: ImportError: If no valid module+attribute split can be found, or if the resolved object is not a dataclass type. """ - parts = fqcn.split(".") - if len(parts) < 2: - raise ImportError(f"Cannot import from FQCN {fqcn!r}: no module separator found.") - - # Try module paths from longest to shortest prefix - for i in range(len(parts) - 1, 0, -1): - module_path = ".".join(parts[:i]) - attr_parts = parts[i:] - try: - module = importlib.import_module(module_path) - except (ImportError, ModuleNotFoundError): - continue - # Walk the remaining attribute chain (handles nested classes) - obj: Any = module - try: - for attr in attr_parts: - obj = getattr(obj, attr) - except AttributeError: - continue - if not dataclasses.is_dataclass(obj) or not isinstance(obj, type): - raise ImportError( - f"{'.'.join(attr_parts)!r} in {module_path!r} is not a dataclass type." - ) - return obj + from orcapod.extension_types.type_utils import _walk_fqcn - raise ImportError( - f"Cannot import dataclass from FQCN {fqcn!r}: no valid module+attribute path found." - ) + obj: Any = _walk_fqcn(fqcn) + if not dataclasses.is_dataclass(obj) or not isinstance(obj, type): + raise ImportError( + f"{fqcn!r} does not resolve to a dataclass type." + ) + return obj diff --git a/src/orcapod/extension_types/type_utils.py b/src/orcapod/extension_types/type_utils.py index 33b8b52a..8fd42541 100644 --- a/src/orcapod/extension_types/type_utils.py +++ b/src/orcapod/extension_types/type_utils.py @@ -1,11 +1,13 @@ -"""Utility helpers for Python type annotation inspection. +"""Utility helpers for Python type annotation inspection and FQCN import. Used by the write-side registration trigger to extract leaf Python classes from -complex generic annotations like ``list[dict[A, list[B]]]``. +complex generic annotations like ``list[dict[A, list[B]]]``, and by logical type +factories to import classes from fully-qualified class names. """ from __future__ import annotations +import importlib import typing from typing import Any, Iterator @@ -49,3 +51,51 @@ def _extract_leaf_classes(annotation: Any) -> Iterator[type]: if arg is type(None): continue yield from _extract_leaf_classes(arg) + + +def _walk_fqcn(fqcn: str) -> Any: + """Walk a fully-qualified class name and return the resolved object. + + Tries module prefixes from longest to shortest, then walks the remaining + parts as attribute accesses. For example: + + - ``"mypackage.sub.MyClass"`` → import ``mypackage.sub``, then + ``getattr(module, "MyClass")``. + - ``"mypackage.sub.Outer.Inner"`` → import ``mypackage.sub``, then + ``getattr(module, "Outer")``, then ``getattr(Outer, "Inner")``. + + Does **not** validate the type of the resolved object — callers are + responsible for checking that the result is the expected kind of object + (e.g. a dataclass, a ``BaseModel`` subclass). + + Args: + fqcn: Fully-qualified name, e.g. ``"mypackage.sub.MyClass"``. + + Returns: + The resolved Python object. + + Raises: + ImportError: If no valid module+attribute split can be found. + """ + parts = fqcn.split(".") + if len(parts) < 2: + raise ImportError(f"Cannot import from FQCN {fqcn!r}: no module separator found.") + + for i in range(len(parts) - 1, 0, -1): + module_path = ".".join(parts[:i]) + attr_parts = parts[i:] + try: + module = importlib.import_module(module_path) + except (ImportError, ModuleNotFoundError): + continue + obj: Any = module + try: + for attr in attr_parts: + obj = getattr(obj, attr) + except AttributeError: + continue + return obj + + raise ImportError( + f"Cannot import from FQCN {fqcn!r}: no valid module+attribute path found." + ) diff --git a/tests/test_extension_types/test_type_utils.py b/tests/test_extension_types/test_type_utils.py index a42b0622..35042204 100644 --- a/tests/test_extension_types/test_type_utils.py +++ b/tests/test_extension_types/test_type_utils.py @@ -72,3 +72,47 @@ def test_none_type_plain(): """type(None) itself yields type(None) as a leaf (not filtered at this level).""" result = list(extract_leaf_classes(type(None))) assert result == [type(None)] + + +# ── _walk_fqcn tests ───────────────────────────────────────────────────────── + +import dataclasses +import pytest + + +def test_walk_fqcn_resolves_module_level_class(): + """_walk_fqcn resolves a top-level class from its FQCN.""" + from orcapod.extension_types.type_utils import _walk_fqcn + import pathlib + obj = _walk_fqcn("pathlib.Path") + assert obj is pathlib.Path + + +def test_walk_fqcn_resolves_nested_attribute(): + """_walk_fqcn walks nested attribute chains (e.g. module.Outer.Inner).""" + from orcapod.extension_types.type_utils import _walk_fqcn + import os.path + # os.path.join is a function reachable via attribute walk + obj = _walk_fqcn("os.path.join") + assert obj is os.path.join + + +def test_walk_fqcn_raises_import_error_on_bad_module(): + """_walk_fqcn raises ImportError when no module prefix can be imported.""" + from orcapod.extension_types.type_utils import _walk_fqcn + with pytest.raises(ImportError): + _walk_fqcn("nonexistent.module.NoSuchClass") + + +def test_walk_fqcn_raises_import_error_on_missing_attr(): + """_walk_fqcn raises ImportError when module exists but attribute does not.""" + from orcapod.extension_types.type_utils import _walk_fqcn + with pytest.raises(ImportError): + _walk_fqcn("pathlib.NoSuchClass") + + +def test_walk_fqcn_raises_import_error_on_single_part(): + """_walk_fqcn raises ImportError when FQCN has no module separator.""" + from orcapod.extension_types.type_utils import _walk_fqcn + with pytest.raises(ImportError): + _walk_fqcn("justname") From 85532d859ea97f65ad9612705e0bfde65b75004b Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 22:48:12 +0000 Subject: [PATCH 141/206] fix(type-utils): clean up _walk_fqcn exception catch; add test for _import_from_fqcn validation branch - Remove redundant ModuleNotFoundError from except clause (it is a subclass of ImportError) - Move import pytest and _walk_fqcn to module level in test_type_utils.py - Remove unused import dataclasses - Add test_import_from_fqcn_raises_for_non_dataclass covering the non-dataclass rejection path --- src/orcapod/extension_types/type_utils.py | 2 +- tests/test_extension_types/test_type_utils.py | 22 ++++++++++++------- 2 files changed, 15 insertions(+), 9 deletions(-) diff --git a/src/orcapod/extension_types/type_utils.py b/src/orcapod/extension_types/type_utils.py index 8fd42541..5b080702 100644 --- a/src/orcapod/extension_types/type_utils.py +++ b/src/orcapod/extension_types/type_utils.py @@ -86,7 +86,7 @@ def _walk_fqcn(fqcn: str) -> Any: attr_parts = parts[i:] try: module = importlib.import_module(module_path) - except (ImportError, ModuleNotFoundError): + except ImportError: continue obj: Any = module try: diff --git a/tests/test_extension_types/test_type_utils.py b/tests/test_extension_types/test_type_utils.py index 35042204..c0f9b6d5 100644 --- a/tests/test_extension_types/test_type_utils.py +++ b/tests/test_extension_types/test_type_utils.py @@ -4,7 +4,10 @@ from typing import Optional, Union +import pytest + from orcapod.extension_types.type_utils import _extract_leaf_classes as extract_leaf_classes +from orcapod.extension_types.type_utils import _walk_fqcn class _A: @@ -76,13 +79,9 @@ def test_none_type_plain(): # ── _walk_fqcn tests ───────────────────────────────────────────────────────── -import dataclasses -import pytest - def test_walk_fqcn_resolves_module_level_class(): """_walk_fqcn resolves a top-level class from its FQCN.""" - from orcapod.extension_types.type_utils import _walk_fqcn import pathlib obj = _walk_fqcn("pathlib.Path") assert obj is pathlib.Path @@ -90,7 +89,6 @@ def test_walk_fqcn_resolves_module_level_class(): def test_walk_fqcn_resolves_nested_attribute(): """_walk_fqcn walks nested attribute chains (e.g. module.Outer.Inner).""" - from orcapod.extension_types.type_utils import _walk_fqcn import os.path # os.path.join is a function reachable via attribute walk obj = _walk_fqcn("os.path.join") @@ -99,20 +97,28 @@ def test_walk_fqcn_resolves_nested_attribute(): def test_walk_fqcn_raises_import_error_on_bad_module(): """_walk_fqcn raises ImportError when no module prefix can be imported.""" - from orcapod.extension_types.type_utils import _walk_fqcn with pytest.raises(ImportError): _walk_fqcn("nonexistent.module.NoSuchClass") def test_walk_fqcn_raises_import_error_on_missing_attr(): """_walk_fqcn raises ImportError when module exists but attribute does not.""" - from orcapod.extension_types.type_utils import _walk_fqcn with pytest.raises(ImportError): _walk_fqcn("pathlib.NoSuchClass") def test_walk_fqcn_raises_import_error_on_single_part(): """_walk_fqcn raises ImportError when FQCN has no module separator.""" - from orcapod.extension_types.type_utils import _walk_fqcn with pytest.raises(ImportError): _walk_fqcn("justname") + + +# ── _import_from_fqcn tests ────────────────────────────────────────────────── + + +def test_import_from_fqcn_raises_for_non_dataclass(): + """_import_from_fqcn raises ImportError when FQCN resolves to a non-dataclass.""" + from orcapod.extension_types.dataclass_logical_type_factory import _import_from_fqcn + # pathlib.Path is importable via _walk_fqcn but is not a dataclass + with pytest.raises(ImportError): + _import_from_fqcn("pathlib.Path") From 0d23610a27fdda053cc9f7247499de627de4fdfa Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 22:50:56 +0000 Subject: [PATCH 142/206] feat(pydantic-factory): add PydanticLogicalType MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Implements PydanticLogicalType — the logical type binding for pydantic v2 BaseModel subclasses — mirroring the DataclassLogicalType architecture with PYDANTIC_CATEGORY = "orcapod.pydantic". All 8 tests pass. Co-Authored-By: Claude Sonnet 4.6 --- .../pydantic_logical_type_factory.py | 178 ++++++++++++++++++ .../test_pydantic_logical_type_factory.py | 140 ++++++++++++++ 2 files changed, 318 insertions(+) create mode 100644 src/orcapod/extension_types/pydantic_logical_type_factory.py create mode 100644 tests/test_extension_types/test_pydantic_logical_type_factory.py diff --git a/src/orcapod/extension_types/pydantic_logical_type_factory.py b/src/orcapod/extension_types/pydantic_logical_type_factory.py new file mode 100644 index 00000000..cbf989b1 --- /dev/null +++ b/src/orcapod/extension_types/pydantic_logical_type_factory.py @@ -0,0 +1,178 @@ +"""PydanticLogicalType and PydanticLogicalTypeFactory. + +Provides the ``PydanticLogicalType`` logical type implementation and the +``PydanticLogicalTypeFactory`` that synthesises and reconstructs +``PydanticLogicalType`` instances for pydantic v2 ``BaseModel`` subclasses. + +Write path (``create_for_python_type``): + Iterates model fields via ``model_fields`` (pydantic v2 API), delegates + field Arrow-type resolution to the converter via ``register_python_class``, + and returns a ``PydanticLogicalType`` backed by a ``pa.struct`` extension + type. + +Read path (``reconstruct_from_arrow``): + Imports the model by fully-qualified class name, resolves field annotations + against the (already bottom-up resolved) storage type, and returns a + ``PydanticLogicalType``. + +Category tag: ``"orcapod.pydantic"`` +""" + +from __future__ import annotations + +import json +import logging +from typing import TYPE_CHECKING, Any + +from orcapod.extension_types.registry import make_arrow_extension_type, make_polars_extension_type +from orcapod.extension_types.type_utils import _walk_fqcn +from orcapod.utils.lazy_module import LazyModule + +if TYPE_CHECKING: + import polars as pl + import pyarrow as pa + from orcapod.extension_types.protocols import TypeConverterProtocol +else: + pa = LazyModule("pyarrow") + pl = LazyModule("polars") + +logger = logging.getLogger(__name__) + +#: Category tag embedded in Arrow extension metadata. Used as the factory dispatch key. +PYDANTIC_CATEGORY = "orcapod.pydantic" + + +class PydanticLogicalType: + """Logical type binding a pydantic ``BaseModel`` subclass to its Arrow extension type. + + Stores the model's fully-qualified class name as the Arrow extension name + and a ``pa.struct`` of the model fields as the storage type. + + No Arrow-type reasoning lives here — all field-type resolution is owned by + the converter and completed before this object is constructed. + + Args: + logical_name: Fully-qualified class name (e.g. ``"mymodule.sub.MyModel"``). + Used as both the logical type name and the Arrow extension name. + python_type: The pydantic ``BaseModel`` subclass. + storage_type: The Arrow ``pa.StructType`` for the model fields. + field_annotations: Ordered list of ``(field_name, python_annotation)`` + pairs matching the fields in ``storage_type``. + + Example: + >>> lt = PydanticLogicalType( + ... "mymod.Point", Point, + ... pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]), + ... [("x", int), ("y", int)], + ... ) + >>> lt.python_to_storage(Point(x=1, y=2), converter) + {"x": 1, "y": 2} + """ + + def __init__( + self, + logical_name: str, + python_type: type, + storage_type: pa.StructType, + field_annotations: list[tuple[str, Any]], + ) -> None: + self._logical_name = logical_name + self._python_type = python_type + self._storage_type = storage_type + self._field_annotations = field_annotations + + _metadata = json.dumps({"category": PYDANTIC_CATEGORY}).encode("utf-8") + self._arrow_ext_class = make_arrow_extension_type( + logical_name, storage_type, metadata=_metadata + ) + self._arrow_ext: pa.ExtensionType | None = None + # ``storage_type`` must not contain nested extension types (ET1 in DESIGN_ISSUES.md). + # On the write path, ``PydanticLogicalTypeFactory.create_for_python_type`` strips any + # top-level extension type from each field's Arrow type before inserting it into the + # struct. On the read path, ``reconstruct_from_arrow`` receives a ``storage_type`` + # already guaranteed storage-safe by ``register_storage_type``. + self._polars_ext_class = make_polars_extension_type(logical_name, storage_type) + self._polars_ext: pl.BaseExtension | None = None + + @property + def logical_type_name(self) -> str: + """Fully-qualified class name used as the logical type identifier.""" + return self._logical_name + + @property + def python_type(self) -> type: + """The pydantic ``BaseModel`` subclass this logical type represents.""" + return self._python_type + + def get_arrow_extension_type(self) -> pa.ExtensionType: + """Return the Arrow extension type for this model. + + Returns: + A cached ``pa.ExtensionType`` instance with ``extension_name`` equal to + the fully-qualified class name and ``storage_type`` equal to the struct + of the model fields. + """ + if self._arrow_ext is None: + self._arrow_ext = self._arrow_ext_class() + return self._arrow_ext + + def get_polars_extension_type(self) -> pl.BaseExtension: + """Return the Polars extension type for this model. + + Returns: + A cached ``pl.BaseExtension`` instance. + """ + if self._polars_ext is None: + self._polars_ext = self._polars_ext_class() + return self._polars_ext + + def python_to_storage(self, value: Any, converter: TypeConverterProtocol | None) -> dict[str, Any]: + """Convert a pydantic model instance to an Arrow-compatible struct dict. + + Iterates ``_field_annotations`` and delegates each field's conversion to + ``converter.python_to_storage``. + + Args: + value: A pydantic model instance of type ``python_type``. + converter: The active converter for per-field delegation. Must not be ``None``. + + Returns: + A dict mapping field names to their Arrow storage values. + + Raises: + ValueError: If ``converter`` is ``None``. + """ + if converter is None: + raise ValueError( + "PydanticLogicalType.python_to_storage requires a converter — " + "pass a TypeConverterProtocol instance for field-level conversion." + ) + return { + name: converter.python_to_storage(getattr(value, name), annotation) + for name, annotation in self._field_annotations + } + + def storage_to_python(self, storage_value: Any, converter: TypeConverterProtocol | None) -> Any: + """Reconstruct a pydantic model instance from an Arrow struct dict. + + Args: + storage_value: A dict mapping field names to Arrow storage values. + converter: The active converter for per-field delegation. Must not be ``None``. + + Returns: + A pydantic model instance of type ``python_type``. Pydantic validation + runs on construction, ensuring the model is always in a valid state. + + Raises: + ValueError: If ``converter`` is ``None``. + """ + if converter is None: + raise ValueError( + "PydanticLogicalType.storage_to_python requires a converter — " + "pass a TypeConverterProtocol instance for field-level conversion." + ) + kwargs = { + name: converter.storage_to_python(storage_value[name], annotation) + for name, annotation in self._field_annotations + } + return self._python_type(**kwargs) diff --git a/tests/test_extension_types/test_pydantic_logical_type_factory.py b/tests/test_extension_types/test_pydantic_logical_type_factory.py new file mode 100644 index 00000000..a1e475ac --- /dev/null +++ b/tests/test_extension_types/test_pydantic_logical_type_factory.py @@ -0,0 +1,140 @@ +"""Tests for PydanticLogicalType and PydanticLogicalTypeFactory.""" + +from __future__ import annotations + +import uuid as _uuid_module +from typing import Any + +import pyarrow as pa +import pytest +from pydantic import BaseModel, PrivateAttr + + +# ── Helpers ────────────────────────────────────────────────────────────────── + +class _StubConverter: + """Minimal converter stub for PydanticLogicalType tests.""" + + def python_to_storage(self, value, annotation): + if annotation is str: + return str(value) + if annotation is int: + return int(value) + return value + + def storage_to_python(self, storage_value, annotation): + if annotation is str: + return str(storage_value) + if annotation is int: + return int(storage_value) + return storage_value + + def register_python_class(self, annotation): + if annotation is str: + return pa.large_string() + if annotation is int: + return pa.int64() + raise ValueError(f"No mapping for {annotation}") + + +# ── PydanticLogicalType tests ──────────────────────────────────────────────── + +def test_pydantic_logical_type_is_importable(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + assert PydanticLogicalType is not None + + +def test_pydantic_logical_type_protocol_conformance(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + from orcapod.extension_types.protocols import LogicalTypeProtocol + + class _MyModel(BaseModel): + name: str + count: int + + storage = pa.struct([pa.field("name", pa.large_string()), pa.field("count", pa.int64())]) + lt = PydanticLogicalType( + logical_name="tests._MyModel", + python_type=_MyModel, + storage_type=storage, + field_annotations=[("name", str), ("count", int)], + ) + assert isinstance(lt, LogicalTypeProtocol) + + +def test_pydantic_logical_type_python_to_storage(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + + class _Point(BaseModel): + x: int + y: int + + storage = pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]) + lt = PydanticLogicalType("tests._Point", _Point, storage, [("x", int), ("y", int)]) + converter = _StubConverter() + + result = lt.python_to_storage(_Point(x=3, y=7), converter) + assert result == {"x": 3, "y": 7} + + +def test_pydantic_logical_type_storage_to_python(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + + class _Point(BaseModel): + x: int + y: int + + storage = pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]) + lt = PydanticLogicalType("tests._Point2", _Point, storage, [("x", int), ("y", int)]) + converter = _StubConverter() + + result = lt.storage_to_python({"x": 3, "y": 7}, converter) + assert isinstance(result, _Point) + assert result.x == 3 + assert result.y == 7 + + +def test_pydantic_logical_type_logical_type_name(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + + class _Foo(BaseModel): + val: str + + storage = pa.struct([pa.field("val", pa.large_string())]) + lt = PydanticLogicalType("mymod.Foo", _Foo, storage, [("val", str)]) + assert lt.logical_type_name == "mymod.Foo" + + +def test_pydantic_logical_type_python_type(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + + class _Bar(BaseModel): + val: str + + storage = pa.struct([pa.field("val", pa.large_string())]) + lt = PydanticLogicalType("mymod.Bar", _Bar, storage, [("val", str)]) + assert lt.python_type is _Bar + + +def test_python_to_storage_raises_when_converter_none(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + + class _DC(BaseModel): + x: int + + storage = pa.struct([pa.field("x", pa.int64())]) + lt = PydanticLogicalType("mymod._DC", _DC, storage, [("x", int)]) + with pytest.raises(ValueError, match="converter"): + lt.python_to_storage(_DC(x=1), None) + + +def test_storage_to_python_raises_when_converter_none(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalType + + class _DC2(BaseModel): + x: int + + storage = pa.struct([pa.field("x", pa.int64())]) + lt = PydanticLogicalType("mymod._DC2", _DC2, storage, [("x", int)]) + with pytest.raises(ValueError, match="converter"): + lt.storage_to_python({"x": 1}, None) From e5fcc2e00746cfa894cc889e874d778dd5642e46 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 22:53:32 +0000 Subject: [PATCH 143/206] fix(pydantic-factory): remove unused imports flagged in review --- src/orcapod/extension_types/pydantic_logical_type_factory.py | 1 - .../test_extension_types/test_pydantic_logical_type_factory.py | 3 +-- 2 files changed, 1 insertion(+), 3 deletions(-) diff --git a/src/orcapod/extension_types/pydantic_logical_type_factory.py b/src/orcapod/extension_types/pydantic_logical_type_factory.py index cbf989b1..5c82471c 100644 --- a/src/orcapod/extension_types/pydantic_logical_type_factory.py +++ b/src/orcapod/extension_types/pydantic_logical_type_factory.py @@ -25,7 +25,6 @@ from typing import TYPE_CHECKING, Any from orcapod.extension_types.registry import make_arrow_extension_type, make_polars_extension_type -from orcapod.extension_types.type_utils import _walk_fqcn from orcapod.utils.lazy_module import LazyModule if TYPE_CHECKING: diff --git a/tests/test_extension_types/test_pydantic_logical_type_factory.py b/tests/test_extension_types/test_pydantic_logical_type_factory.py index a1e475ac..0a2495fc 100644 --- a/tests/test_extension_types/test_pydantic_logical_type_factory.py +++ b/tests/test_extension_types/test_pydantic_logical_type_factory.py @@ -2,12 +2,11 @@ from __future__ import annotations -import uuid as _uuid_module from typing import Any import pyarrow as pa import pytest -from pydantic import BaseModel, PrivateAttr +from pydantic import BaseModel # ── Helpers ────────────────────────────────────────────────────────────────── From 550dc671ae647d5b811fc46ba30af20411870151 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 22:56:38 +0000 Subject: [PATCH 144/206] feat(pydantic-factory): add PydanticLogicalTypeFactory write path Appends PydanticLogicalTypeFactory and _import_pydantic_model_from_fqcn to pydantic_logical_type_factory.py, mirroring the DataclassLogicalTypeFactory pattern. Adds module-level models, a full-converter helper, and 8 write-path tests to the test file (16 tests total, all passing). --- .../pydantic_logical_type_factory.py | 192 ++++++++++++++++++ .../test_pydantic_logical_type_factory.py | 165 ++++++++++++++- 2 files changed, 356 insertions(+), 1 deletion(-) diff --git a/src/orcapod/extension_types/pydantic_logical_type_factory.py b/src/orcapod/extension_types/pydantic_logical_type_factory.py index 5c82471c..bcc1b27f 100644 --- a/src/orcapod/extension_types/pydantic_logical_type_factory.py +++ b/src/orcapod/extension_types/pydantic_logical_type_factory.py @@ -175,3 +175,195 @@ def storage_to_python(self, storage_value: Any, converter: TypeConverterProtocol for name, annotation in self._field_annotations } return self._python_type(**kwargs) + + +class PydanticLogicalTypeFactory: + """Stateless factory that synthesises and reconstructs ``PydanticLogicalType`` instances. + + **Write path** (``create_for_python_type``): derives Arrow struct type from the + model fields by delegating to ``converter.register_python_class`` per field. + Only fields in ``model_fields`` are stored — computed fields and private + attributes are excluded. + + **Read path** (``reconstruct_from_arrow``): imports the model by FQCN, matches + fields against the already-resolved ``storage_type``, and returns a + ``PydanticLogicalType``. + + Category tag: ``"orcapod.pydantic"`` + + Register with:: + + from pydantic import BaseModel + converter.register_logical_type_factory( + PydanticLogicalTypeFactory(), + category="orcapod.pydantic", + python_bases=[BaseModel], + ) + + Example: + >>> factory = PydanticLogicalTypeFactory() + >>> factory.supports_class(MyModel) + True + >>> factory.supports_class(str) + False + """ + + def supports_class(self, python_type: type) -> bool: + """Return True if ``python_type`` is a pydantic ``BaseModel`` subclass. + + Args: + python_type: Any Python type. + + Returns: + True if pydantic is installed and ``python_type`` is a ``BaseModel`` + subclass. False if pydantic is not installed. + """ + try: + from pydantic import BaseModel + except ImportError: + return False + return isinstance(python_type, type) and issubclass(python_type, BaseModel) + + def create_for_python_type( + self, + python_type: type, + converter: TypeConverterProtocol, + ) -> PydanticLogicalType: + """Synthesise a ``PydanticLogicalType`` for a pydantic model (write path). + + Derives the FQCN, obtains type hints, and resolves each field's Arrow type + via ``converter.register_python_class``. Only fields present in + ``model_fields`` are stored — computed fields and private attributes are + excluded. Rejects local / unnamed classes. + + Args: + python_type: A pydantic ``BaseModel`` subclass. + converter: The active converter for field-type resolution. + + Returns: + A ``PydanticLogicalType`` ready for registration. + + Raises: + ValueError: If ``python_type`` is a local class (``__qualname__`` contains + ``""``). + """ + import typing + + fqcn = f"{python_type.__module__}.{python_type.__qualname__}" + if "" in fqcn: + raise ValueError( + f"Cannot register local class {python_type!r} as a PydanticLogicalType — " + f"local classes have no stable fully-qualified class name and cannot be " + f"reconstructed on read. Define the model at module level." + ) + + try: + hints = typing.get_type_hints(python_type) + except Exception as exc: + raise ValueError( + f"Cannot get type hints for {python_type!r}: {exc}" + ) from exc + + arrow_fields = [] + field_annotations = [] + for field_name in python_type.model_fields: + annotation = hints.get(field_name, Any) + arrow_type = converter.register_python_class(annotation) + # Strip top-level extension type before inserting into the struct (ET1; + # see DESIGN_ISSUES.md): Arrow cannot represent extension types inside + # struct field types. + if isinstance(arrow_type, pa.ExtensionType): + arrow_type = arrow_type.storage_type + arrow_fields.append(pa.field(field_name, arrow_type)) + field_annotations.append((field_name, annotation)) + + storage_type = pa.struct(arrow_fields) + logger.debug("PydanticLogicalTypeFactory: synthesised %r for %r", fqcn, python_type) + return PydanticLogicalType(fqcn, python_type, storage_type, field_annotations) + + def reconstruct_from_arrow( + self, + arrow_extension_name: str, + storage_type: pa.DataType, + metadata: dict[str, Any], + converter: TypeConverterProtocol, + ) -> PydanticLogicalType: + """Reconstruct a ``PydanticLogicalType`` from Arrow schema metadata (read path). + + Imports the model from its FQCN (``arrow_extension_name``), then matches + the model field annotations against the fields in ``storage_type``. + ``storage_type`` is already bottom-up resolved by ``register_storage_type`` + before this method is called. + + Args: + arrow_extension_name: FQCN of the pydantic model (Arrow extension name). + storage_type: Already-resolved ``pa.StructType`` for the model fields. + metadata: Full parsed metadata JSON dict (always contains ``"category"``). + converter: The active converter (used for registration completeness invariant). + + Returns: + A ``PydanticLogicalType`` ready for registration. + + Raises: + ImportError: If the class cannot be imported from ``arrow_extension_name``. + ValueError: If ``storage_type`` is not a struct type. + """ + import typing + + if not pa.types.is_struct(storage_type): + raise ValueError( + f"PydanticLogicalTypeFactory.reconstruct_from_arrow: expected a struct " + f"storage type for {arrow_extension_name!r}, got {storage_type!r}." + ) + + cls = _import_pydantic_model_from_fqcn(arrow_extension_name) + + try: + hints = typing.get_type_hints(cls) + except Exception as exc: + raise ValueError( + f"Cannot get type hints for {cls!r}: {exc}" + ) from exc + + field_annotations = [] + for field_name in cls.model_fields: + annotation = hints.get(field_name, Any) + # Register any logical type the field annotation maps to (registration + # completeness invariant: all nested logical types must be registered when + # the outer type is registered). The return value is discarded. + converter.register_python_class(annotation) + field_annotations.append((field_name, annotation)) + + logger.debug( + "PydanticLogicalTypeFactory: reconstructed %r from Arrow", arrow_extension_name + ) + return PydanticLogicalType( + arrow_extension_name, cls, storage_type, field_annotations + ) + + +def _import_pydantic_model_from_fqcn(fqcn: str) -> type: + """Import a pydantic ``BaseModel`` subclass from its fully-qualified class name. + + Delegates the module-prefix walk to ``type_utils._walk_fqcn``, then + validates the resolved object is a ``BaseModel`` subclass. + + Args: + fqcn: Fully-qualified class name, e.g. ``"mypackage.sub.MyModel"``. + + Returns: + The imported ``BaseModel`` subclass. + + Raises: + ImportError: If no valid module+attribute split can be found, or if the + resolved object is not a ``BaseModel`` subclass. + """ + from pydantic import BaseModel + from orcapod.extension_types.type_utils import _walk_fqcn + + obj: Any = _walk_fqcn(fqcn) + if not (isinstance(obj, type) and issubclass(obj, BaseModel)): + raise ImportError( + f"{fqcn!r} does not resolve to a pydantic BaseModel subclass." + ) + return obj diff --git a/tests/test_extension_types/test_pydantic_logical_type_factory.py b/tests/test_extension_types/test_pydantic_logical_type_factory.py index 0a2495fc..d63057fc 100644 --- a/tests/test_extension_types/test_pydantic_logical_type_factory.py +++ b/tests/test_extension_types/test_pydantic_logical_type_factory.py @@ -4,9 +4,11 @@ from typing import Any +import uuid as _uuid_module + import pyarrow as pa import pytest -from pydantic import BaseModel +from pydantic import BaseModel, PrivateAttr # ── Helpers ────────────────────────────────────────────────────────────────── @@ -137,3 +139,164 @@ class _DC2(BaseModel): lt = PydanticLogicalType("mymod._DC2", _DC2, storage, [("x", int)]) with pytest.raises(ValueError, match="converter"): lt.storage_to_python({"x": 1}, None) + + +# ── Module-level models for factory tests ──────────────────────────────────── +# Must be at module scope (not inside functions) so FQCN reconstruction works. + +class _FlatModel(BaseModel): + name: str + count: int + + +class _ModelWithUUID(BaseModel): + id: _uuid_module.UUID + label: str + + +class _ModelWithList(BaseModel): + tags: list[str] + count: int + + +class _ModelWithDict(BaseModel): + meta: dict[str, int] + + +class _InnerModel(BaseModel): + value: int + + +class _OuterModel(BaseModel): + inner: _InnerModel + label: str + + +class _ModelWithPrivateAttr(BaseModel): + name: str + _cache: str = PrivateAttr(default="") + + +# ── Factory helper ──────────────────────────────────────────────────────────── + +def _make_full_converter(): + """Make a UniversalTypeConverter with builtin types + PydanticLogicalTypeFactory.""" + from pydantic import BaseModel as _BaseModel + from orcapod.extension_types.builtin_logical_types import LogicalPath, LogicalUUID, LogicalUPath + from orcapod.extension_types.registry import LogicalTypeRegistry + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory, PYDANTIC_CATEGORY + from orcapod.semantic_types.universal_converter import UniversalTypeConverter + + registry = LogicalTypeRegistry(logical_types=[LogicalPath(), LogicalUUID(), LogicalUPath()]) + factory = PydanticLogicalTypeFactory() + registry.register_logical_type_factory(factory, category=PYDANTIC_CATEGORY, python_bases=[_BaseModel]) + return UniversalTypeConverter(logical_type_registry=registry) + + +# ── PydanticLogicalTypeFactory write-path tests ─────────────────────────────── + +def test_factory_supports_class_pydantic_model(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + factory = PydanticLogicalTypeFactory() + assert factory.supports_class(_FlatModel) is True + + +def test_factory_supports_class_non_pydantic(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + import dataclasses + + @dataclasses.dataclass + class _DC: + x: int + + factory = PydanticLogicalTypeFactory() + assert factory.supports_class(str) is False + assert factory.supports_class(int) is False + assert factory.supports_class(_DC) is False + + +def test_factory_create_flat_model(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory, PydanticLogicalType + + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_FlatModel, converter=converter) + + assert isinstance(lt, PydanticLogicalType) + storage = lt.get_arrow_extension_type().storage_type + assert pa.types.is_struct(storage) + assert storage.field("name").type == pa.large_string() + assert storage.field("count").type == pa.int64() + + +def test_factory_create_model_with_uuid_field(): + """UUID field → plain storage type (large_binary) in the struct, not extension type (ET1).""" + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_ModelWithUUID, converter=converter) + + storage = lt.get_arrow_extension_type().storage_type + id_field_type = storage.field("id").type + assert id_field_type == pa.large_binary() + assert not isinstance(id_field_type, pa.ExtensionType) + + +def test_factory_create_model_with_list_field(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_ModelWithList, converter=converter) + + storage = lt.get_arrow_extension_type().storage_type + assert pa.types.is_large_list(storage.field("tags").type) + assert storage.field("tags").type.value_type == pa.large_string() + + +def test_factory_create_model_with_dict_field(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_ModelWithDict, converter=converter) + + storage = lt.get_arrow_extension_type().storage_type + meta_type = storage.field("meta").type + assert pa.types.is_large_list(meta_type) + assert pa.types.is_struct(meta_type.value_type) + field_names = {meta_type.value_type.field(i).name for i in range(meta_type.value_type.num_fields)} + assert field_names == {"key", "value"} + + +def test_factory_rejects_local_class(): + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + def _make_local(): + class _Local(BaseModel): + x: int + return _Local + + LocalModel = _make_local() + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + with pytest.raises(ValueError, match="local"): + factory.create_for_python_type(LocalModel, converter=converter) + + +def test_private_fields_not_stored(): + """Private attributes (PrivateAttr) must not appear in the Arrow struct.""" + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + lt = factory.create_for_python_type(_ModelWithPrivateAttr, converter=converter) + + storage = lt.get_arrow_extension_type().storage_type + field_names = {storage.field(i).name for i in range(storage.num_fields)} + assert "name" in field_names + assert "_cache" not in field_names + assert storage.num_fields == 1 From 362522fd71e96b966d7954e49007a3f1a3a2ad22 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 23:00:05 +0000 Subject: [PATCH 145/206] test(pydantic-factory): add read-path, round-trip, and Parquet integration tests Co-Authored-By: Claude Sonnet 4.6 --- .../test_pydantic_logical_type_factory.py | 158 ++++++++++++++++++ 1 file changed, 158 insertions(+) diff --git a/tests/test_extension_types/test_pydantic_logical_type_factory.py b/tests/test_extension_types/test_pydantic_logical_type_factory.py index d63057fc..9c8afaf1 100644 --- a/tests/test_extension_types/test_pydantic_logical_type_factory.py +++ b/tests/test_extension_types/test_pydantic_logical_type_factory.py @@ -177,6 +177,18 @@ class _ModelWithPrivateAttr(BaseModel): _cache: str = PrivateAttr(default="") +# ── Module-level models for read-path and round-trip tests ─────────────────── + +class _RoundTripPoint(BaseModel): + x: int + y: int + + +class _RoundTripRecord(BaseModel): + record_id: _uuid_module.UUID + label: str + + # ── Factory helper ──────────────────────────────────────────────────────────── def _make_full_converter(): @@ -300,3 +312,149 @@ def test_private_fields_not_stored(): assert "name" in field_names assert "_cache" not in field_names assert storage.num_fields == 1 + + +# ── PydanticLogicalTypeFactory read-path tests ──────────────────────────────── + +def test_factory_reconstruct_from_arrow(): + """reconstruct_from_arrow rebuilds the logical type from the Arrow struct.""" + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory, PydanticLogicalType + + storage = pa.struct([pa.field("x", pa.int64()), pa.field("y", pa.int64())]) + metadata = {"category": "orcapod.pydantic"} + fqcn = f"{_RoundTripPoint.__module__}.{_RoundTripPoint.__qualname__}" + + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + lt = factory.reconstruct_from_arrow(fqcn, storage, metadata, converter=converter) + + assert isinstance(lt, PydanticLogicalType) + assert lt.python_type is _RoundTripPoint + assert lt.logical_type_name == fqcn + + +def test_factory_reconstruct_from_arrow_invalid_fqcn(): + """ImportError if the FQCN cannot be resolved.""" + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + storage = pa.struct([pa.field("x", pa.int64())]) + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + + with pytest.raises(ImportError): + factory.reconstruct_from_arrow( + "nonexistent.module.NoSuchModel", storage, {"category": "orcapod.pydantic"}, converter + ) + + +def test_reconstruct_from_arrow_registers_nested_types(): + """reconstruct_from_arrow for Outer must register Inner as a side effect.""" + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + inner_storage = pa.struct([pa.field("value", pa.int64())]) + outer_storage = pa.struct([ + pa.field("inner", inner_storage), + pa.field("label", pa.large_string()), + ]) + outer_fqcn = f"{_OuterModel.__module__}.{_OuterModel.__qualname__}" + + factory = PydanticLogicalTypeFactory() + converter = _make_full_converter() + + # Inner is NOT pre-registered + assert converter._logical_type_registry.get_by_python_type(_InnerModel) is None + + factory.reconstruct_from_arrow(outer_fqcn, outer_storage, {"category": "orcapod.pydantic"}, converter) + + # Inner must now be registered as a side effect + assert converter._logical_type_registry.get_by_python_type(_InnerModel) is not None + + +# ── Value round-trip tests ──────────────────────────────────────────────────── + +def test_pydantic_python_to_storage_round_trip(): + """python_to_storage → storage_to_python returns an equivalent model.""" + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + converter = _make_full_converter() + factory = PydanticLogicalTypeFactory() + lt = factory.create_for_python_type(_RoundTripPoint, converter=converter) + converter.register_logical_type(lt) + + point = _RoundTripPoint(x=10, y=20) + storage_value = lt.python_to_storage(point, converter) + assert storage_value == {"x": 10, "y": 20} + + reconstructed = lt.storage_to_python(storage_value, converter) + assert isinstance(reconstructed, _RoundTripPoint) + assert reconstructed.x == 10 + assert reconstructed.y == 20 + + +def test_pydantic_with_uuid_round_trip(): + """Round-trip a pydantic model with a UUID field.""" + from orcapod.extension_types.pydantic_logical_type_factory import PydanticLogicalTypeFactory + + converter = _make_full_converter() + factory = PydanticLogicalTypeFactory() + lt = factory.create_for_python_type(_RoundTripRecord, converter=converter) + converter.register_logical_type(lt) + + u = _uuid_module.UUID("12345678-1234-5678-1234-567812345678") + record = _RoundTripRecord(record_id=u, label="hello") + + storage_value = lt.python_to_storage(record, converter) + assert storage_value["label"] == "hello" + assert storage_value["record_id"] == u.bytes + + reconstructed = lt.storage_to_python(storage_value, converter) + assert isinstance(reconstructed, _RoundTripRecord) + assert reconstructed.record_id == u + assert reconstructed.label == "hello" + + +# ── Parquet integration test ────────────────────────────────────────────────── + +def test_nested_pydantic_model_parquet_roundtrip(tmp_path): + """Fresh-process Parquet round-trip for a two-level nested pydantic model. + + Verifies that register_discovered_extensions triggers the chain: + register_arrow_extension("Outer") -> reconstruct_from_arrow + -> register_python_class(Inner) -> registers Inner + so that storage_to_python can reconstruct the full nested object. + """ + import pyarrow.parquet as pq + from orcapod.extension_types.database_hooks import register_discovered_extensions, apply_extension_types + + # ── Write path ─────────────────────────────────────────────────────────── + write_converter = _make_full_converter() + + inner = _InnerModel(value=42) + outer = _OuterModel(inner=inner, label="hello") + + write_converter.register_python_class(_OuterModel) + + arrow_schema = write_converter.python_schema_to_arrow_schema({"item": _OuterModel}) + rows = [{"item": outer}] + table = write_converter.python_dicts_to_arrow_table(rows, arrow_schema=arrow_schema) + + parquet_path = tmp_path / "nested_pydantic.parquet" + pq.write_table(table, parquet_path) + + # ── Read path (fresh converter — neither Inner nor Outer pre-registered) ── + read_converter = _make_full_converter() + read_table = pq.read_table(parquet_path) + + register_discovered_extensions(read_converter, read_table.schema) + read_table = apply_extension_types(read_table, read_converter._logical_type_registry) + + assert read_converter._logical_type_registry.get_by_python_type(_OuterModel) is not None + assert read_converter._logical_type_registry.get_by_python_type(_InnerModel) is not None + + rows_out = read_converter.arrow_table_to_python_dicts(read_table) + assert len(rows_out) == 1 + reconstructed = rows_out[0]["item"] + assert isinstance(reconstructed, _OuterModel) + assert isinstance(reconstructed.inner, _InnerModel) + assert reconstructed.inner.value == 42 + assert reconstructed.label == "hello" From 1d916bfc35c5223091555ff20a93058ca56b7538 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 23:05:49 +0000 Subject: [PATCH 146/206] feat(extension-types): export PydanticLogicalType symbols from __init__.py Expose PYDANTIC_CATEGORY, PydanticLogicalType, and PydanticLogicalTypeFactory via the extension_types package public API (PLT-1731). Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/__init__.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/src/orcapod/extension_types/__init__.py b/src/orcapod/extension_types/__init__.py index d9fb68c0..bdbd4c29 100644 --- a/src/orcapod/extension_types/__init__.py +++ b/src/orcapod/extension_types/__init__.py @@ -12,6 +12,9 @@ ``DataclassLogicalTypeFactory`` provides automatic registration for Python dataclasses: register it with a ``LogicalTypeRegistry`` and any dataclass used in a ``FunctionPod`` will be auto-registered on pod declaration. + +``PydanticLogicalTypeFactory`` provides automatic registration for pydantic v2 +``BaseModel`` subclasses. Requires the optional ``pydantic`` extra. """ from __future__ import annotations @@ -21,6 +24,7 @@ from .schema_walker import ExtensionTypeInfo, walk_field, walk_schema from .database_hooks import apply_extension_types, register_discovered_extensions from .dataclass_logical_type_factory import DATACLASS_CATEGORY, DataclassLogicalType, DataclassLogicalTypeFactory +from .pydantic_logical_type_factory import PYDANTIC_CATEGORY, PydanticLogicalType, PydanticLogicalTypeFactory __all__ = [ "LogicalTypeProtocol", @@ -39,4 +43,8 @@ "DATACLASS_CATEGORY", "DataclassLogicalType", "DataclassLogicalTypeFactory", + # PLT-1731 + "PYDANTIC_CATEGORY", + "PydanticLogicalType", + "PydanticLogicalTypeFactory", ] From 315b4ef9f1cdbf15bdde3407e84925513293e1fa Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 17 Jun 2026 23:14:35 +0000 Subject: [PATCH 147/206] fix(type-utils): re-raise ImportError from existing modules in _walk_fqcn Previously _walk_fqcn caught all ImportError from importlib.import_module, which could silently swallow real import failures (e.g. a module that exists but has a missing optional dependency) and replace them with a misleading "no valid module+attribute path found" error. Now only ModuleNotFoundError where exc.name is a prefix of the attempted module path is swallowed (meaning the module simply does not exist); all other failures propagate unchanged so callers see the true root cause. Adds test_walk_fqcn_reraises_real_import_failure to cover this path. Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/type_utils.py | 16 ++++++++++-- tests/test_extension_types/test_type_utils.py | 26 +++++++++++++++++++ 2 files changed, 40 insertions(+), 2 deletions(-) diff --git a/src/orcapod/extension_types/type_utils.py b/src/orcapod/extension_types/type_utils.py index 5b080702..cdc76559 100644 --- a/src/orcapod/extension_types/type_utils.py +++ b/src/orcapod/extension_types/type_utils.py @@ -75,7 +75,11 @@ def _walk_fqcn(fqcn: str) -> Any: The resolved Python object. Raises: - ImportError: If no valid module+attribute split can be found. + ImportError: If no valid module+attribute split can be found, or if a + candidate module prefix exists on disk but raises an ``ImportError`` + at import time (e.g. a missing optional dependency). In the latter + case the original exception is re-raised unchanged so callers see + the true root cause. """ parts = fqcn.split(".") if len(parts) < 2: @@ -86,7 +90,15 @@ def _walk_fqcn(fqcn: str) -> Any: attr_parts = parts[i:] try: module = importlib.import_module(module_path) - except ImportError: + except ModuleNotFoundError as exc: + # Only continue when the module we tried to import (or a direct + # ancestor of it) simply does not exist. If exc.name is not a + # prefix of module_path the module exists on disk but failed to + # import — for example because one of its optional dependencies is + # absent. In that case re-raise so the caller sees the true root + # cause instead of a misleading "no valid module+attribute" error. + if exc.name is None or not module_path.startswith(exc.name): + raise continue obj: Any = module try: diff --git a/tests/test_extension_types/test_type_utils.py b/tests/test_extension_types/test_type_utils.py index c0f9b6d5..01bb080f 100644 --- a/tests/test_extension_types/test_type_utils.py +++ b/tests/test_extension_types/test_type_utils.py @@ -113,6 +113,32 @@ def test_walk_fqcn_raises_import_error_on_single_part(): _walk_fqcn("justname") +def test_walk_fqcn_reraises_real_import_failure(monkeypatch): + """_walk_fqcn propagates ImportError from a module that exists but fails to import. + + Simulates the case where a module on disk raises ModuleNotFoundError for + one of its own optional dependencies (exc.name is the missing dep, not the + module being imported). The error must not be swallowed and replaced with + a generic "no valid module+attribute" ImportError. + """ + import importlib as _importlib + + original = _importlib.import_module + + def _patched(name: str, *args, **kwargs): + if name == "pathlib": + # "pathlib" exists but pretend it tries to import a missing dep. + err = ModuleNotFoundError("No module named 'some_optional_dep'") + err.name = "some_optional_dep" + raise err + return original(name, *args, **kwargs) + + monkeypatch.setattr(_importlib, "import_module", _patched) + + with pytest.raises(ModuleNotFoundError, match="some_optional_dep"): + _walk_fqcn("pathlib.Path") + + # ── _import_from_fqcn tests ────────────────────────────────────────────────── From 4d96eaa2bc6c2041886a32a6a055ebfc7f275778 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 00:27:27 +0000 Subject: [PATCH 148/206] fix(type-utils): use exact/dotted-prefix match in _walk_fqcn ancestor check The previous module_path.startswith(exc.name) check had a false-positive: a dep named "path" would match module "pathlib" because "pathlib".startswith("path") is True, causing a real import failure to be swallowed. Replace with an exact match or dotted-prefix match: exc.name == module_path or module_path.startswith(exc.name + ".") This ensures only the module itself or a true dotted ancestor counts as "module not found"; anything else (including bare-prefix dep names) is re-raised. Adds test_walk_fqcn_reraises_when_dep_name_is_bare_prefix_of_module to cover the false-positive case. Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/type_utils.py | 16 +++++++----- tests/test_extension_types/test_type_utils.py | 26 +++++++++++++++++++ 2 files changed, 36 insertions(+), 6 deletions(-) diff --git a/src/orcapod/extension_types/type_utils.py b/src/orcapod/extension_types/type_utils.py index cdc76559..21487057 100644 --- a/src/orcapod/extension_types/type_utils.py +++ b/src/orcapod/extension_types/type_utils.py @@ -92,12 +92,16 @@ def _walk_fqcn(fqcn: str) -> Any: module = importlib.import_module(module_path) except ModuleNotFoundError as exc: # Only continue when the module we tried to import (or a direct - # ancestor of it) simply does not exist. If exc.name is not a - # prefix of module_path the module exists on disk but failed to - # import — for example because one of its optional dependencies is - # absent. In that case re-raise so the caller sees the true root - # cause instead of a misleading "no valid module+attribute" error. - if exc.name is None or not module_path.startswith(exc.name): + # ancestor of it) simply does not exist. Use an exact-match or + # dotted-prefix check so that a dep whose name is a bare prefix of + # module_path (e.g. dep "path" vs module "pathlib") is not + # accidentally treated as a missing ancestor. + # + # Re-raise in all other cases so callers see the true root cause + # instead of a misleading "no valid module+attribute" error. + if exc.name is None or not ( + exc.name == module_path or module_path.startswith(exc.name + ".") + ): raise continue obj: Any = module diff --git a/tests/test_extension_types/test_type_utils.py b/tests/test_extension_types/test_type_utils.py index 01bb080f..470b3512 100644 --- a/tests/test_extension_types/test_type_utils.py +++ b/tests/test_extension_types/test_type_utils.py @@ -139,6 +139,32 @@ def _patched(name: str, *args, **kwargs): _walk_fqcn("pathlib.Path") +def test_walk_fqcn_reraises_when_dep_name_is_bare_prefix_of_module(monkeypatch): + """_walk_fqcn does not swallow errors when exc.name is a bare substring of module_path. + + Regression: the old ``module_path.startswith(exc.name)`` check would + incorrectly swallow a ModuleNotFoundError for a dep named ``"path"`` while + importing ``"pathlib"``, because ``"pathlib".startswith("path")`` is True. + The fix requires an exact match or a dotted-prefix match. + """ + import importlib as _importlib + + original = _importlib.import_module + + def _patched(name: str, *args, **kwargs): + if name == "pathlib": + # dep name "path" is a bare prefix of "pathlib" — must not be swallowed. + err = ModuleNotFoundError("No module named 'path'") + err.name = "path" + raise err + return original(name, *args, **kwargs) + + monkeypatch.setattr(_importlib, "import_module", _patched) + + with pytest.raises(ModuleNotFoundError, match="'path'"): + _walk_fqcn("pathlib.Path") + + # ── _import_from_fqcn tests ────────────────────────────────────────────────── From 0415ebbb735f03e153fc496316f0b03a2fb5816c Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 02:18:29 +0000 Subject: [PATCH 149/206] docs(specs): add PLT-1701 design spec for wiring factories into default registry --- ...-factories-into-default-registry-design.md | 191 ++++++++++++++++++ 1 file changed, 191 insertions(+) create mode 100644 superpowers/specs/2026-06-18-plt-1701-wire-factories-into-default-registry-design.md diff --git a/superpowers/specs/2026-06-18-plt-1701-wire-factories-into-default-registry-design.md b/superpowers/specs/2026-06-18-plt-1701-wire-factories-into-default-registry-design.md new file mode 100644 index 00000000..ca89196f --- /dev/null +++ b/superpowers/specs/2026-06-18-plt-1701-wire-factories-into-default-registry-design.md @@ -0,0 +1,191 @@ +# PLT-1701: Wire DataclassHandlerFactory and PydanticLogicalTypeFactory into the Default LogicalTypeRegistry + +**Date:** 2026-06-18 +**Issue:** PLT-1701 +**Branch:** eywalker/plt-1701-wire-dataclasshandlerfactory-into-the-default + +--- + +## Overview + +`DataclassLogicalTypeFactory` and `PydanticLogicalTypeFactory` are fully implemented but must +be manually registered by users on their `LogicalTypeRegistry` instances. Until they are +wired into the default context, dataclass- and pydantic-annotated pod fields are not +auto-handled out of the box. + +Wiring them in requires two things: + +1. `LogicalTypeRegistry.__init__` must accept a `factories` parameter so the JSON object-spec + config can specify factory registrations alongside the existing `logical_types` list. +2. `register_logical_type_factory` must accept string FQCNs in `python_bases` (resolved lazily + via `_walk_fqcn`) so that optional dependencies like pydantic do not get imported at + context-load time when they are not installed. + +--- + +## Goals & Success Criteria + +- `LogicalTypeRegistry.__init__` accepts an optional `factories` parameter: a list of dicts, + each with keys `factory` (instance), `category` (string), `python_bases` (list of + `type | str`). +- `register_logical_type_factory` resolves string FQCNs in `python_bases` using + `type_utils._walk_fqcn`. On `ImportError`, logs a `WARNING` and skips that base — category + registration still proceeds, preserving the read path. +- `v0.1.json` wires in both factories under `logical_type_registry._config.factories`. +- The default context automatically handles dataclass-annotated pod fields (write path) and + reconstructs dataclass columns from Parquet/Delta (read path) with zero user-side setup. +- Pydantic factory's category is always registered (read path works regardless of whether + pydantic is installed). Write-path base registration is skipped gracefully if pydantic is + absent. +- Instantiating `PydanticLogicalTypeFactory()` does NOT import pydantic. +- Existing tests pass. New tests explicitly verify all of the above. + +--- + +## Scope & Boundaries + +**In scope:** +- `LogicalTypeRegistry.__init__` `factories` parameter +- `register_logical_type_factory` string-FQCN support via `_walk_fqcn` +- `v0.1.json` update (both factories) +- Unit tests: registry `factories` param, mock-based graceful failure, pydantic import safety +- Integration tests: default context factory registration + FunctionPod/converter end-to-end + with dataclass and pydantic types + +**Out of scope:** +- Changes to `DataclassLogicalTypeFactory` or `PydanticLogicalTypeFactory` logic +- Changes to `parse_objectspec`, `contexts/core.py`, or `contexts/registry.py` +- Picklable or other factory types — those wire in separately +- `context_schema.json` — `_config` already uses `"additionalProperties": true` + +--- + +## Design + +### 1. `extension_types/registry.py` + +#### `register_logical_type_factory` — accept `type | str` in `python_bases` + +Change the signature's accepted types from `Iterable[type]` to `Iterable[type | str]`. +At the top of the method, iterate `python_bases` and resolve each entry: + +- If the entry is already a `type`, use it directly. +- If the entry is a `str`, call `type_utils._walk_fqcn(fqcn)` inside a `try/except ImportError`. + On success, use the resolved type. On `ImportError`, emit `logger.warning(...)` and skip + that base entry. The `category` registration still proceeds — the read path works even + without the optional dep. + +This reuses the existing `_walk_fqcn` helper, which already handles dotted attribute walks +for nested classes. No raw `importlib` wrangling needed. + +#### `__init__` — add `factories` parameter + +```python +def __init__( + self, + logical_types: list[LogicalTypeProtocol] | None = None, + factories: list[dict] | None = None, +) -> None: +``` + +After registering `logical_types`, iterate `factories` (if any). Each dict must have: + +| Key | Type | Description | +|---|---|---| +| `factory` | `LogicalTypeFactoryProtocol` | Factory instance | +| `category` | `str \| None` | Category key for read-path dispatch (optional) | +| `python_bases` | `list[type \| str]` | Base classes for write-path dispatch (optional) | + +Call `self.register_logical_type_factory(factory, category=category, python_bases=python_bases)` +for each entry. + +### 2. `contexts/data/v0.1.json` + +Add a `"factories"` list to `type_converter → _config → logical_type_registry → _config`: + +```json +"factories": [ + { + "factory": { + "_class": "orcapod.extension_types.dataclass_logical_type_factory.DataclassLogicalTypeFactory", + "_config": {} + }, + "category": "orcapod.dataclass", + "python_bases": [{"_type": "builtins.object"}] + }, + { + "factory": { + "_class": "orcapod.extension_types.pydantic_logical_type_factory.PydanticLogicalTypeFactory", + "_config": {} + }, + "category": "orcapod.pydantic", + "python_bases": ["pydantic.BaseModel"] + } +] +``` + +**Dataclass entry:** `python_bases` uses `{"_type": "builtins.object"}` — `parse_objectspec` +resolves this to `object` (always importable), so the registry receives an actual `type`. + +**Pydantic entry:** `python_bases` uses the plain string `"pydantic.BaseModel"` — `parse_objectspec` +passes strings through unchanged (they are primitives). The registry then resolves it via +`_walk_fqcn` at registration time, catching `ImportError` if pydantic is absent. This avoids +a hard failure at context-load time even when pydantic is not installed. + +### 3. `PydanticLogicalTypeFactory` — no code changes needed + +The current `PydanticLogicalTypeFactory` has no explicit `__init__` and no module-level +pydantic import. Instantiation is already pydantic-free. A test will lock this invariant. + +--- + +## Test Plan + +### New test file: `tests/test_extension_types/test_default_context_factories.py` + +**Registry constructor tests (unit):** + +- `test_registry_factories_param_registers_dataclass_factory` — construct a `LogicalTypeRegistry` + with `factories=[{"factory": DataclassLogicalTypeFactory(), "category": "orcapod.dataclass", "python_bases": [object]}]` + and verify the category factory is accessible. +- `test_registry_factories_param_registers_pydantic_factory` — same for pydantic with + `python_bases=["pydantic.BaseModel"]`. +- `test_registry_string_python_base_graceful_on_missing_dep` — use + `unittest.mock.patch.dict(sys.modules, {"pydantic": None})` to simulate pydantic being + absent; register with `python_bases=["pydantic.BaseModel"]`; verify no exception is raised + and that the category is still registered, but the write-path base is not. + +**Pydantic import-safety test (unit):** + +- `test_pydantic_factory_instantiation_does_not_import_pydantic` — record `sys.modules` keys + before and after `PydanticLogicalTypeFactory()`; assert no pydantic-related module was + imported. + +**Default context integration tests:** + +- `test_default_context_has_dataclass_factory_registered` — `resolve_context()` creates a + fresh context; verify `_category_factories["orcapod.dataclass"]` is a + `DataclassLogicalTypeFactory`. +- `test_default_context_has_pydantic_factory_registered` — same for `"orcapod.pydantic"`. +- `test_default_context_dataclass_type_is_auto_registered_on_use` — use + `get_default_type_converter().register_python_class(SomeModuleLevelDataclass)` with no + prior manual setup; verify the returned Arrow type is an extension type with the correct + extension name. +- `test_default_context_pydantic_model_type_is_auto_registered_on_use` — same for a pydantic + `BaseModel` subclass (skipped if pydantic not installed). +- `test_default_context_dataclass_parquet_roundtrip` — full end-to-end: write a dataclass + column via a fresh default-context converter to Parquet; read it back with another fresh + default-context converter using `register_discovered_extensions` + `apply_extension_types`; + verify the reconstructed Python object matches the original. + +**Note on context freshness:** Tests that mutate registry state (registering new types) must +use `create_registry()` to get a fresh `JSONDataContextRegistry` instance rather than the +global singleton, to avoid cross-test contamination. + +--- + +## Dependencies + +- `_walk_fqcn` from `orcapod.extension_types.type_utils` (existing, private helper) +- `DataclassLogicalTypeFactory` (PLT-1657/PLT-1705, already on `extension-type-system`) +- `PydanticLogicalTypeFactory` (PLT-1731, already on `extension-type-system`) From 652e15ad7041a21ffa550175442d2978fb597cbc Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 02:22:30 +0000 Subject: [PATCH 150/206] =?UTF-8?q?docs(specs):=20simplify=20PLT-1701=20sp?= =?UTF-8?q?ec=20=E2=80=94=20pydantic=20as=20explicit=20dep,=20no=20gracefu?= =?UTF-8?q?l=20handling?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ...-factories-into-default-registry-design.md | 171 +++++++++--------- 1 file changed, 81 insertions(+), 90 deletions(-) diff --git a/superpowers/specs/2026-06-18-plt-1701-wire-factories-into-default-registry-design.md b/superpowers/specs/2026-06-18-plt-1701-wire-factories-into-default-registry-design.md index ca89196f..6cdfcec7 100644 --- a/superpowers/specs/2026-06-18-plt-1701-wire-factories-into-default-registry-design.md +++ b/superpowers/specs/2026-06-18-plt-1701-wire-factories-into-default-registry-design.md @@ -13,47 +13,48 @@ be manually registered by users on their `LogicalTypeRegistry` instances. Until wired into the default context, dataclass- and pydantic-annotated pod fields are not auto-handled out of the box. -Wiring them in requires two things: +Wiring them in requires one registry change: `LogicalTypeRegistry.__init__` must accept a +`factories` parameter so the JSON object-spec config can specify factory registrations +alongside the existing `logical_types` list. -1. `LogicalTypeRegistry.__init__` must accept a `factories` parameter so the JSON object-spec - config can specify factory registrations alongside the existing `logical_types` list. -2. `register_logical_type_factory` must accept string FQCNs in `python_bases` (resolved lazily - via `_walk_fqcn`) so that optional dependencies like pydantic do not get imported at - context-load time when they are not installed. +Pydantic is promoted to an explicit (non-optional) orcapod dependency. This removes all +graceful-import logic and makes missing pydantic a hard failure — both at context-load time +and inside the factory itself. --- ## Goals & Success Criteria - `LogicalTypeRegistry.__init__` accepts an optional `factories` parameter: a list of dicts, - each with keys `factory` (instance), `category` (string), `python_bases` (list of - `type | str`). -- `register_logical_type_factory` resolves string FQCNs in `python_bases` using - `type_utils._walk_fqcn`. On `ImportError`, logs a `WARNING` and skips that base — category - registration still proceeds, preserving the read path. -- `v0.1.json` wires in both factories under `logical_type_registry._config.factories`. -- The default context automatically handles dataclass-annotated pod fields (write path) and - reconstructs dataclass columns from Parquet/Delta (read path) with zero user-side setup. -- Pydantic factory's category is always registered (read path works regardless of whether - pydantic is installed). Write-path base registration is skipped gracefully if pydantic is - absent. -- Instantiating `PydanticLogicalTypeFactory()` does NOT import pydantic. -- Existing tests pass. New tests explicitly verify all of the above. + each with keys `factory` (instance), `category` (string), `python_bases` (list of `type`). +- `v0.1.json` wires in both factories under `logical_type_registry._config.factories`, using + `{"_type": "..."}` object-specs for `python_bases` — resolved by `parse_objectspec` at + context-load time exactly as other types are today. +- Pydantic is listed as a required dependency in `pyproject.toml`. +- `PydanticLogicalTypeFactory.supports_class` drops its `try/except ImportError` guard and + imports pydantic directly. +- The default context automatically handles dataclass- and pydantic-annotated pod fields + (write path) and reconstructs such columns from Parquet/Delta (read path) with zero + user-side setup. +- Existing tests pass. New tests explicitly verify factory registration and end-to-end use. --- ## Scope & Boundaries **In scope:** +- `pyproject.toml` — pydantic added as explicit required dependency - `LogicalTypeRegistry.__init__` `factories` parameter -- `register_logical_type_factory` string-FQCN support via `_walk_fqcn` +- `PydanticLogicalTypeFactory.supports_class` — remove try/except, direct pydantic import - `v0.1.json` update (both factories) -- Unit tests: registry `factories` param, mock-based graceful failure, pydantic import safety -- Integration tests: default context factory registration + FunctionPod/converter end-to-end - with dataclass and pydantic types +- Unit tests: registry `factories` param, pydantic import directness +- Integration tests: default context factory registration + converter end-to-end with + dataclass and pydantic types, Parquet round-trip **Out of scope:** -- Changes to `DataclassLogicalTypeFactory` or `PydanticLogicalTypeFactory` logic +- String-FQCN support in `register_logical_type_factory` — not needed; `parse_objectspec` + resolves `{"_type": "pydantic.BaseModel"}` directly +- Changes to `DataclassLogicalTypeFactory` logic - Changes to `parse_objectspec`, `contexts/core.py`, or `contexts/registry.py` - Picklable or other factory types — those wire in separately - `context_schema.json` — `_config` already uses `"additionalProperties": true` @@ -62,21 +63,25 @@ Wiring them in requires two things: ## Design -### 1. `extension_types/registry.py` +### 1. `pyproject.toml` -#### `register_logical_type_factory` — accept `type | str` in `python_bases` +Add `pydantic>=2.0` (or the currently pinned version) to the `[project.dependencies]` list. +Remove any `[project.optional-dependencies]` entry for pydantic if one exists. -Change the signature's accepted types from `Iterable[type]` to `Iterable[type | str]`. -At the top of the method, iterate `python_bases` and resolve each entry: +### 2. `extension_types/pydantic_logical_type_factory.py` -- If the entry is already a `type`, use it directly. -- If the entry is a `str`, call `type_utils._walk_fqcn(fqcn)` inside a `try/except ImportError`. - On success, use the resolved type. On `ImportError`, emit `logger.warning(...)` and skip - that base entry. The `category` registration still proceeds — the read path works even - without the optional dep. +`supports_class` currently wraps its `from pydantic import BaseModel` in a `try/except +ImportError` that returns `False` when pydantic is absent. Drop the guard: -This reuses the existing `_walk_fqcn` helper, which already handles dotted attribute walks -for nested classes. No raw `importlib` wrangling needed. +```python +def supports_class(self, python_type: type) -> bool: + from pydantic import BaseModel + return isinstance(python_type, type) and issubclass(python_type, BaseModel) +``` + +No other changes to this file. + +### 3. `extension_types/registry.py` #### `__init__` — add `factories` parameter @@ -88,18 +93,19 @@ def __init__( ) -> None: ``` -After registering `logical_types`, iterate `factories` (if any). Each dict must have: +After registering `logical_types`, iterate `factories` (if any). Each dict has: + +| Key | Type | Required | Description | +|---|---|---|---| +| `factory` | `LogicalTypeFactoryProtocol` | yes | Factory instance | +| `category` | `str` | no | Category key for read-path dispatch | +| `python_bases` | `list[type]` | no | Base classes for write-path dispatch | -| Key | Type | Description | -|---|---|---| -| `factory` | `LogicalTypeFactoryProtocol` | Factory instance | -| `category` | `str \| None` | Category key for read-path dispatch (optional) | -| `python_bases` | `list[type \| str]` | Base classes for write-path dispatch (optional) | +Call `self.register_logical_type_factory(factory, category=..., python_bases=...)` for each. -Call `self.register_logical_type_factory(factory, category=category, python_bases=python_bases)` -for each entry. +No changes to `register_logical_type_factory` itself — it already accepts `Iterable[type]`. -### 2. `contexts/data/v0.1.json` +### 4. `contexts/data/v0.1.json` Add a `"factories"` list to `type_converter → _config → logical_type_registry → _config`: @@ -119,73 +125,58 @@ Add a `"factories"` list to `type_converter → _config → logical_type_registr "_config": {} }, "category": "orcapod.pydantic", - "python_bases": ["pydantic.BaseModel"] + "python_bases": [{"_type": "pydantic.BaseModel"}] } ] ``` -**Dataclass entry:** `python_bases` uses `{"_type": "builtins.object"}` — `parse_objectspec` -resolves this to `object` (always importable), so the registry receives an actual `type`. - -**Pydantic entry:** `python_bases` uses the plain string `"pydantic.BaseModel"` — `parse_objectspec` -passes strings through unchanged (they are primitives). The registry then resolves it via -`_walk_fqcn` at registration time, catching `ImportError` if pydantic is absent. This avoids -a hard failure at context-load time even when pydantic is not installed. - -### 3. `PydanticLogicalTypeFactory` — no code changes needed - -The current `PydanticLogicalTypeFactory` has no explicit `__init__` and no module-level -pydantic import. Instantiation is already pydantic-free. A test will lock this invariant. +`parse_objectspec` resolves `{"_type": "builtins.object"}` → `object` and +`{"_type": "pydantic.BaseModel"}` → `BaseModel`. Both arrive in `__init__` as actual +`type` objects — no special handling needed in the registry. --- ## Test Plan -### New test file: `tests/test_extension_types/test_default_context_factories.py` - -**Registry constructor tests (unit):** - -- `test_registry_factories_param_registers_dataclass_factory` — construct a `LogicalTypeRegistry` - with `factories=[{"factory": DataclassLogicalTypeFactory(), "category": "orcapod.dataclass", "python_bases": [object]}]` - and verify the category factory is accessible. -- `test_registry_factories_param_registers_pydantic_factory` — same for pydantic with - `python_bases=["pydantic.BaseModel"]`. -- `test_registry_string_python_base_graceful_on_missing_dep` — use - `unittest.mock.patch.dict(sys.modules, {"pydantic": None})` to simulate pydantic being - absent; register with `python_bases=["pydantic.BaseModel"]`; verify no exception is raised - and that the category is still registered, but the write-path base is not. +### `tests/test_extension_types/test_default_context_factories.py` (new file) -**Pydantic import-safety test (unit):** +**Registry constructor unit tests:** -- `test_pydantic_factory_instantiation_does_not_import_pydantic` — record `sys.modules` keys - before and after `PydanticLogicalTypeFactory()`; assert no pydantic-related module was - imported. +- `test_registry_factories_param_registers_category_factory` — construct + `LogicalTypeRegistry(factories=[{"factory": DataclassLogicalTypeFactory(), "category": "orcapod.dataclass", "python_bases": [object]}])` + and assert the category factory is accessible via `_category_factories`. +- `test_registry_factories_param_registers_python_base_factory` — same shape, verify + `_python_class_factories[object]` is set. +- `test_registry_factories_param_empty_list_is_noop` — `LogicalTypeRegistry(factories=[])` + succeeds without error. **Default context integration tests:** -- `test_default_context_has_dataclass_factory_registered` — `resolve_context()` creates a - fresh context; verify `_category_factories["orcapod.dataclass"]` is a - `DataclassLogicalTypeFactory`. -- `test_default_context_has_pydantic_factory_registered` — same for `"orcapod.pydantic"`. -- `test_default_context_dataclass_type_is_auto_registered_on_use` — use - `get_default_type_converter().register_python_class(SomeModuleLevelDataclass)` with no - prior manual setup; verify the returned Arrow type is an extension type with the correct - extension name. -- `test_default_context_pydantic_model_type_is_auto_registered_on_use` — same for a pydantic - `BaseModel` subclass (skipped if pydantic not installed). +- `test_default_context_has_dataclass_factory_registered` — create a fresh registry via + `create_registry()` and verify `_category_factories["orcapod.dataclass"]` is an instance + of `DataclassLogicalTypeFactory`. +- `test_default_context_has_pydantic_factory_registered` — same for `"orcapod.pydantic"` / + `PydanticLogicalTypeFactory`. +- `test_default_context_dataclass_auto_registered_on_use` — call + `create_registry().get_context().type_converter.register_python_class(SomeModuleLevelDataclass)` + with no prior manual setup; verify the returned Arrow type is an extension type with the + correct extension name (the dataclass FQCN). +- `test_default_context_pydantic_model_auto_registered_on_use` — same for a pydantic + `BaseModel` subclass. - `test_default_context_dataclass_parquet_roundtrip` — full end-to-end: write a dataclass column via a fresh default-context converter to Parquet; read it back with another fresh default-context converter using `register_discovered_extensions` + `apply_extension_types`; - verify the reconstructed Python object matches the original. + verify the reconstructed Python object matches the original, with no manual factory + registration calls anywhere in the test. -**Note on context freshness:** Tests that mutate registry state (registering new types) must -use `create_registry()` to get a fresh `JSONDataContextRegistry` instance rather than the -global singleton, to avoid cross-test contamination. +**Note on context freshness:** All integration tests use `create_registry().get_context()` +rather than `get_default_context()` to avoid cross-test contamination via the global +singleton cache. --- ## Dependencies -- `_walk_fqcn` from `orcapod.extension_types.type_utils` (existing, private helper) -- `DataclassLogicalTypeFactory` (PLT-1657/PLT-1705, already on `extension-type-system`) +- `DataclassLogicalTypeFactory` (PLT-1705, already on `extension-type-system`) - `PydanticLogicalTypeFactory` (PLT-1731, already on `extension-type-system`) +- `parse_objectspec` already handles `{"_type": "..."}` → no changes needed there From 4ff6a0313c567c7c6ed14111c579f90466394645 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 02:26:46 +0000 Subject: [PATCH 151/206] docs(plans): add PLT-1701 implementation plan --- ...01-wire-factories-into-default-registry.md | 571 ++++++++++++++++++ 1 file changed, 571 insertions(+) create mode 100644 superpowers/plans/2026-06-18-plt-1701-wire-factories-into-default-registry.md diff --git a/superpowers/plans/2026-06-18-plt-1701-wire-factories-into-default-registry.md b/superpowers/plans/2026-06-18-plt-1701-wire-factories-into-default-registry.md new file mode 100644 index 00000000..334cb4e3 --- /dev/null +++ b/superpowers/plans/2026-06-18-plt-1701-wire-factories-into-default-registry.md @@ -0,0 +1,571 @@ +# PLT-1701: Wire Factories into Default LogicalTypeRegistry Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use sensei:subagent-driven-development (recommended) or sensei:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Wire `DataclassLogicalTypeFactory` and `PydanticLogicalTypeFactory` into the default `LogicalTypeRegistry` so dataclass- and pydantic-annotated pod fields are handled automatically with zero user-side setup. + +**Architecture:** Four targeted changes: (1) promote pydantic to a required dep, (2) harden `PydanticLogicalTypeFactory.supports_class` by dropping the `try/except ImportError` guard, (3) add a `factories` constructor parameter to `LogicalTypeRegistry` that calls `register_logical_type_factory` for each entry, (4) wire both factories into `v0.1.json`. A new test file verifies registry construction and default-context end-to-end behaviour. + +**Tech Stack:** Python 3.11+, PyArrow, pydantic v2, `uv` for dependency management. + +--- + +## File Map + +| File | Action | What changes | +|---|---|---| +| `pyproject.toml` | Modify | Move pydantic from optional to required dependency | +| `src/orcapod/extension_types/pydantic_logical_type_factory.py` | Modify | `supports_class`: drop `try/except ImportError`, import pydantic directly | +| `src/orcapod/extension_types/registry.py` | Modify | `LogicalTypeRegistry.__init__`: add `factories` parameter | +| `src/orcapod/contexts/data/v0.1.json` | Modify | Add `factories` list under `logical_type_registry._config` | +| `tests/test_extension_types/test_default_context_factories.py` | Create | Registry unit tests + default-context integration tests | + +--- + +## Task 0: Create and check out the feature branch + +**Files:** (none — git only) + +- [ ] **Step 1: Create and check out the branch from `extension-type-system`** + +```bash +git checkout extension-type-system +git checkout -b eywalker/plt-1701-wire-dataclasshandlerfactory-into-the-default +git branch --show-current +``` + +Expected: prints `eywalker/plt-1701-wire-dataclasshandlerfactory-into-the-default`. + +--- + +## Task 1: Promote pydantic to a required dependency + +**Files:** +- Modify: `pyproject.toml` + +- [ ] **Step 1: Move pydantic into `[project.dependencies]`** + +In `pyproject.toml`, add `"pydantic>=2.0"` to `[project.dependencies]` and remove the `pydantic` entry from `[project.optional-dependencies]` (keep the `all` extra but remove `"orcapod[pydantic]"` from it): + +```toml +[project] +dependencies = [ + "xxhash", + "networkx", + "typing_extensions", + "matplotlib>=3.10.3", + "pandas>=2.2.3", + "pyyaml>=6.0.2", + "pyarrow>=20.0.0", + "polars>=1.36.0", + "beartype>=0.21.0", + "deltalake>=1.0.2", + "graphviz>=0.21", + "gitpython>=3.1.45", + "universal-pathlib>=0.3.8", + "starfix>=0.2.0", + "pygraphviz>=1.14", + "tzdata>=2024.1", + "uuid-utils>=0.11.1", + "s3fs>=2025.12.0", + "pymongo>=4.15.5", + "basedpyright>=1.38.1", + "pydantic>=2.0", +] + +[project.optional-dependencies] +redis = ["redis>=6.2.0"] +ray = ["ray[default]==2.48.0", "ipywidgets>=8.1.7"] +postgresql = ["psycopg[binary]>=3.0"] +spiraldb = [ + "pyspiral>=0.11.0", +] +all = ["orcapod[redis]", "orcapod[ray]", "orcapod[postgresql]", "orcapod[spiraldb]"] +``` + +- [ ] **Step 2: Re-sync the environment** + +```bash +uv sync +``` + +Expected: pydantic is resolved as a required dep. No errors. + +- [ ] **Step 3: Verify pydantic is available** + +```bash +uv run python -c "import pydantic; print(pydantic.__version__)" +``` + +Expected: prints a version string starting with `2.`. + +- [ ] **Step 4: Run the existing pydantic factory tests to confirm nothing broke** + +```bash +uv run pytest tests/test_extension_types/test_pydantic_logical_type_factory.py -v +``` + +Expected: all tests pass. + +- [ ] **Step 5: Commit** + +```bash +git add pyproject.toml +git commit -m "chore(deps): promote pydantic to required dependency" +``` + +--- + +## Task 2: Harden `PydanticLogicalTypeFactory.supports_class` + +**Files:** +- Modify: `src/orcapod/extension_types/pydantic_logical_type_factory.py:211-225` + +The current `supports_class` wraps its pydantic import in a `try/except ImportError` that silently returns `False` when pydantic is absent. Now that pydantic is required, this guard is dead code and should be removed. The behaviour when pydantic IS installed is identical — no new failing test is needed; the existing `test_pydantic_logical_type_factory.py` suite covers it. + +- [ ] **Step 1: Update `supports_class` in `pydantic_logical_type_factory.py`** + +Replace the current `supports_class` method (lines ~211–225): + +```python +def supports_class(self, python_type: type) -> bool: + """Return True if ``python_type`` is a pydantic ``BaseModel`` subclass. + + Args: + python_type: Any Python type. + + Returns: + True if ``python_type`` is a ``BaseModel`` subclass. + """ + from pydantic import BaseModel + return isinstance(python_type, type) and issubclass(python_type, BaseModel) +``` + +- [ ] **Step 2: Verify pydantic tests still pass** + +```bash +uv run pytest tests/test_extension_types/test_pydantic_logical_type_factory.py -v +``` + +Expected: all tests pass. + +- [ ] **Step 3: Commit** + +```bash +git add src/orcapod/extension_types/pydantic_logical_type_factory.py +git commit -m "fix(pydantic-factory): drop try/except in supports_class — pydantic is now required" +``` + +--- + +## Task 3: Add `factories` parameter to `LogicalTypeRegistry.__init__` + +**Files:** +- Modify: `src/orcapod/extension_types/registry.py:205-213` + +- [ ] **Step 1: Write the failing tests** + +Create `tests/test_extension_types/test_default_context_factories.py` with just the registry unit tests: + +```python +"""Tests for LogicalTypeRegistry factories parameter and default context factory wiring.""" + +from __future__ import annotations + +import dataclasses + +import pytest + +from orcapod.extension_types.dataclass_logical_type_factory import ( + DataclassLogicalTypeFactory, + DATACLASS_CATEGORY, +) +from orcapod.extension_types.pydantic_logical_type_factory import ( + PydanticLogicalTypeFactory, + PYDANTIC_CATEGORY, +) +from orcapod.extension_types.registry import LogicalTypeRegistry + + +# ── Module-level dataclasses (local classes cannot be registered) ──────────── + +@dataclasses.dataclass +class _SimplePoint: + x: int + y: int + + +# ── Registry constructor unit tests ───────────────────────────────────────── + +def test_registry_factories_param_registers_category(): + """factories param registers the factory under the given category.""" + factory = DataclassLogicalTypeFactory() + registry = LogicalTypeRegistry( + factories=[{"factory": factory, "category": DATACLASS_CATEGORY, "python_bases": [object]}] + ) + assert registry._category_factories.get(DATACLASS_CATEGORY) is factory + + +def test_registry_factories_param_registers_python_base(): + """factories param registers the factory under each python_base.""" + factory = DataclassLogicalTypeFactory() + registry = LogicalTypeRegistry( + factories=[{"factory": factory, "category": DATACLASS_CATEGORY, "python_bases": [object]}] + ) + assert registry._python_class_factories.get(object) is factory + + +def test_registry_factories_param_empty_list_is_noop(): + """factories=[] constructs successfully with no registered factories.""" + registry = LogicalTypeRegistry(factories=[]) + assert registry._category_factories == {} + assert registry._python_class_factories == {} + + +def test_registry_factories_param_none_is_noop(): + """factories=None (default) constructs successfully.""" + registry = LogicalTypeRegistry(factories=None) + assert registry._category_factories == {} +``` + +- [ ] **Step 2: Run the tests to confirm they fail** + +```bash +uv run pytest tests/test_extension_types/test_default_context_factories.py::test_registry_factories_param_registers_category -v +``` + +Expected: `FAILED` — `LogicalTypeRegistry.__init__` does not yet accept `factories`. + +- [ ] **Step 3: Update `LogicalTypeRegistry.__init__` in `registry.py`** + +Replace the current `__init__` signature and body (lines ~205–212): + +```python +def __init__( + self, + logical_types: list[LogicalTypeProtocol] | None = None, + factories: list[dict] | None = None, +) -> None: + self._by_logical_name: dict[str, LogicalTypeProtocol] = {} + self._by_arrow_name: dict[str, LogicalTypeProtocol] = {} + self._by_python_type: dict[type, LogicalTypeProtocol] = {} + self._category_factories: dict[str, LogicalTypeFactoryProtocol] = {} + self._python_class_factories: dict[type, LogicalTypeFactoryProtocol] = {} + for lt in (logical_types or []): + self.register_logical_type(lt) + for entry in (factories or []): + self.register_logical_type_factory( + entry["factory"], + category=entry.get("category"), + python_bases=entry.get("python_bases", []), + ) +``` + +- [ ] **Step 4: Run the registry unit tests** + +```bash +uv run pytest tests/test_extension_types/test_default_context_factories.py::test_registry_factories_param_registers_category tests/test_extension_types/test_default_context_factories.py::test_registry_factories_param_registers_python_base tests/test_extension_types/test_default_context_factories.py::test_registry_factories_param_empty_list_is_noop tests/test_extension_types/test_default_context_factories.py::test_registry_factories_param_none_is_noop -v +``` + +Expected: all 4 tests pass. + +- [ ] **Step 5: Run the existing registry tests to confirm no regressions** + +```bash +uv run pytest tests/test_extension_types/test_registry.py -v +``` + +Expected: all tests pass. + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/extension_types/registry.py tests/test_extension_types/test_default_context_factories.py +git commit -m "feat(registry): add factories parameter to LogicalTypeRegistry.__init__" +``` + +--- + +## Task 4: Wire both factories into `v0.1.json` + +**Files:** +- Modify: `src/orcapod/contexts/data/v0.1.json` + +- [ ] **Step 1: Write the failing default-context tests** + +Append these tests to `tests/test_extension_types/test_default_context_factories.py`: + +```python +# ── Default context integration tests ──────────────────────────────────────── +# +# All tests use create_registry().get_context() — NOT get_default_context() — +# to avoid cross-test contamination via the global singleton cache. + +from orcapod.contexts import create_registry + + +def test_default_context_has_dataclass_factory(): + """Default context registers DataclassLogicalTypeFactory under orcapod.dataclass.""" + ctx = create_registry().get_context() + registry = ctx.type_converter._logical_type_registry + factory = registry._category_factories.get(DATACLASS_CATEGORY) + assert isinstance(factory, DataclassLogicalTypeFactory) + + +def test_default_context_has_pydantic_factory(): + """Default context registers PydanticLogicalTypeFactory under orcapod.pydantic.""" + ctx = create_registry().get_context() + registry = ctx.type_converter._logical_type_registry + factory = registry._category_factories.get(PYDANTIC_CATEGORY) + assert isinstance(factory, PydanticLogicalTypeFactory) +``` + +- [ ] **Step 2: Run those two tests to confirm they fail** + +```bash +uv run pytest tests/test_extension_types/test_default_context_factories.py::test_default_context_has_dataclass_factory tests/test_extension_types/test_default_context_factories.py::test_default_context_has_pydantic_factory -v +``` + +Expected: both `FAILED` — factories not yet in `v0.1.json`. + +- [ ] **Step 3: Add the `factories` list to `v0.1.json`** + +In `src/orcapod/contexts/data/v0.1.json`, find the `logical_type_registry` object spec +(under `type_converter._config`) and add `"factories"` alongside `"logical_types"`: + +```json +"logical_type_registry": { + "_class": "orcapod.extension_types.registry.LogicalTypeRegistry", + "_config": { + "logical_types": [ + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUUID", + "_config": {} + } + ], + "factories": [ + { + "factory": { + "_class": "orcapod.extension_types.dataclass_logical_type_factory.DataclassLogicalTypeFactory", + "_config": {} + }, + "category": "orcapod.dataclass", + "python_bases": [{"_type": "builtins.object"}] + }, + { + "factory": { + "_class": "orcapod.extension_types.pydantic_logical_type_factory.PydanticLogicalTypeFactory", + "_config": {} + }, + "category": "orcapod.pydantic", + "python_bases": [{"_type": "pydantic.BaseModel"}] + } + ] + } +} +``` + +`{"_type": "builtins.object"}` resolves to the `object` class via `parse_objectspec`. +`{"_type": "pydantic.BaseModel"}` resolves to `pydantic.BaseModel` the same way — no +instance is created, the class itself is passed as a `python_bases` entry. + +- [ ] **Step 4: Run the default-context factory tests** + +```bash +uv run pytest tests/test_extension_types/test_default_context_factories.py::test_default_context_has_dataclass_factory tests/test_extension_types/test_default_context_factories.py::test_default_context_has_pydantic_factory -v +``` + +Expected: both pass. + +- [ ] **Step 5: Verify the existing context tests still pass** + +```bash +uv run pytest test-objective/unit/test_contexts.py -v +``` + +Expected: all tests pass. + +- [ ] **Step 6: Commit** + +```bash +git add src/orcapod/contexts/data/v0.1.json tests/test_extension_types/test_default_context_factories.py +git commit -m "feat(contexts): wire DataclassLogicalTypeFactory and PydanticLogicalTypeFactory into v0.1 default context" +``` + +--- + +## Task 5: Add end-to-end integration tests via the default context + +**Files:** +- Modify: `tests/test_extension_types/test_default_context_factories.py` + +These tests prove that a user can define a dataclass or pydantic model and use it immediately as a pod field type via the default context — no manual factory registration. + +- [ ] **Step 1: Add module-level pydantic model to the test file** + +At the top of `tests/test_extension_types/test_default_context_factories.py`, after the existing module-level dataclass, add: + +```python +from pydantic import BaseModel + + +class _SimpleModel(BaseModel): + name: str + score: float +``` + +- [ ] **Step 2: Add the auto-registration tests** + +Append to `tests/test_extension_types/test_default_context_factories.py`: + +```python +import pyarrow as pa +from orcapod.extension_types.database_hooks import apply_extension_types, register_discovered_extensions + + +def test_default_context_dataclass_auto_registered_on_use(): + """register_python_class on a dataclass works zero-setup via the default context.""" + converter = create_registry().get_context().type_converter + arrow_type = converter.register_python_class(_SimplePoint) + assert isinstance(arrow_type, pa.ExtensionType) + fqcn = f"{_SimplePoint.__module__}.{_SimplePoint.__qualname__}" + assert arrow_type.extension_name == fqcn + + +def test_default_context_pydantic_auto_registered_on_use(): + """register_python_class on a pydantic model works zero-setup via the default context.""" + converter = create_registry().get_context().type_converter + arrow_type = converter.register_python_class(_SimpleModel) + assert isinstance(arrow_type, pa.ExtensionType) + fqcn = f"{_SimpleModel.__module__}.{_SimpleModel.__qualname__}" + assert arrow_type.extension_name == fqcn +``` + +- [ ] **Step 3: Add the Parquet round-trip tests** + +Append to `tests/test_extension_types/test_default_context_factories.py`: + +```python +import pyarrow.parquet as pq + + +def test_default_context_dataclass_parquet_roundtrip(tmp_path): + """Dataclass round-trips through Parquet with no manual factory registration.""" + # Write path — fresh context, no manual factory setup + write_converter = create_registry().get_context().type_converter + arrow_schema = write_converter.python_schema_to_arrow_schema({"point": _SimplePoint}) + rows = [{"point": _SimplePoint(x=3, y=7)}] + table = write_converter.python_dicts_to_arrow_table(rows, arrow_schema=arrow_schema) + + parquet_path = tmp_path / "point.parquet" + pq.write_table(table, parquet_path) + + # Read path — another fresh context, no manual factory setup + read_converter = create_registry().get_context().type_converter + read_table = pq.read_table(parquet_path) + register_discovered_extensions(read_converter, read_table.schema) + read_table = apply_extension_types(read_table, read_converter._logical_type_registry) + + rows_out = read_converter.arrow_table_to_python_dicts(read_table) + assert len(rows_out) == 1 + result = rows_out[0]["point"] + assert isinstance(result, _SimplePoint) + assert result.x == 3 + assert result.y == 7 + + +def test_default_context_pydantic_parquet_roundtrip(tmp_path): + """Pydantic model round-trips through Parquet with no manual factory registration.""" + # Write path — fresh context, no manual factory setup + write_converter = create_registry().get_context().type_converter + arrow_schema = write_converter.python_schema_to_arrow_schema({"model": _SimpleModel}) + rows = [{"model": _SimpleModel(name="alice", score=9.5)}] + table = write_converter.python_dicts_to_arrow_table(rows, arrow_schema=arrow_schema) + + parquet_path = tmp_path / "model.parquet" + pq.write_table(table, parquet_path) + + # Read path — another fresh context, no manual factory setup + read_converter = create_registry().get_context().type_converter + read_table = pq.read_table(parquet_path) + register_discovered_extensions(read_converter, read_table.schema) + read_table = apply_extension_types(read_table, read_converter._logical_type_registry) + + rows_out = read_converter.arrow_table_to_python_dicts(read_table) + assert len(rows_out) == 1 + result = rows_out[0]["model"] + assert isinstance(result, _SimpleModel) + assert result.name == "alice" + assert result.score == 9.5 +``` + +- [ ] **Step 4: Run all tests in the new test file** + +```bash +uv run pytest tests/test_extension_types/test_default_context_factories.py -v +``` + +Expected: all tests pass. + +- [ ] **Step 5: Run the full extension_types test suite to check for regressions** + +```bash +uv run pytest tests/test_extension_types/ -v +``` + +Expected: all tests pass (the existing xfail on `test_list_of_nested_dataclass_parquet_roundtrip` still xfails as expected). + +- [ ] **Step 6: Commit** + +```bash +git add tests/test_extension_types/test_default_context_factories.py +git commit -m "test(registry): add default context factory registration and Parquet round-trip tests" +``` + +--- + +## Task 6: Final verification and PR + +- [ ] **Step 1: Run the complete test suite** + +```bash +uv run pytest tests/ test-objective/ -v +``` + +Expected: all tests pass. No new failures. + +- [ ] **Step 2: Create the PR** + +```bash +gh pr create \ + --base extension-type-system \ + --title "feat(registry): wire DataclassLogicalTypeFactory and PydanticLogicalTypeFactory into default context (PLT-1701)" \ + --body "$(cat <<'EOF' +## Summary + +- Promotes pydantic to a required dependency (was optional extra) +- Adds `factories` parameter to `LogicalTypeRegistry.__init__` — accepts a list of dicts with `factory`, `category`, and `python_bases` keys; each entry is registered via `register_logical_type_factory` at construction time +- Drops `try/except ImportError` guard in `PydanticLogicalTypeFactory.supports_class` — pydantic is now always available +- Wires `DataclassLogicalTypeFactory` and `PydanticLogicalTypeFactory` into `v0.1.json` under `logical_type_registry._config.factories`; uses `{"_type": "..."}` object-specs for `python_bases` so `parse_objectspec` resolves them to actual type objects +- Adds integration tests verifying zero-setup dataclass/pydantic auto-registration and Parquet round-trips via the default context + +## Test plan + +- [ ] `uv run pytest tests/test_extension_types/ -v` — all pass +- [ ] `uv run pytest test-objective/unit/test_contexts.py -v` — all pass +- [ ] `uv run pytest tests/ test-objective/ -v` — full suite passes + +Closes PLT-1701 +EOF +)" +``` + +Expected: PR URL printed. Verify it targets `extension-type-system`, not `main`. From 75ab93289db055e4515eae8129ac604928389ccb Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 05:38:58 +0000 Subject: [PATCH 152/206] chore(deps): promote pydantic to required dependency --- pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 1dcf0100..523fc7ff 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -27,6 +27,7 @@ dependencies = [ "s3fs>=2025.12.0", "pymongo>=4.15.5", "basedpyright>=1.38.1", + "pydantic>=2.0", ] readme = "README.md" requires-python = ">=3.11.0" @@ -47,8 +48,7 @@ postgresql = ["psycopg[binary]>=3.0"] spiraldb = [ "pyspiral>=0.14.0", ] -pydantic = ["pydantic>=2.0"] -all = ["orcapod[redis]", "orcapod[ray]", "orcapod[postgresql]", "orcapod[spiraldb]", "orcapod[pydantic]"] +all = ["orcapod[redis]", "orcapod[ray]", "orcapod[postgresql]", "orcapod[spiraldb]"] [tool.hatch.version] From 48f0e38e087db19f49cbc4b9effc46546cdf0ea1 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 05:41:41 +0000 Subject: [PATCH 153/206] =?UTF-8?q?fix(pydantic-factory):=20drop=20try/exc?= =?UTF-8?q?ept=20in=20supports=5Fclass=20=E2=80=94=20pydantic=20is=20now?= =?UTF-8?q?=20required?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../extension_types/pydantic_logical_type_factory.py | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) diff --git a/src/orcapod/extension_types/pydantic_logical_type_factory.py b/src/orcapod/extension_types/pydantic_logical_type_factory.py index bcc1b27f..e40baf4f 100644 --- a/src/orcapod/extension_types/pydantic_logical_type_factory.py +++ b/src/orcapod/extension_types/pydantic_logical_type_factory.py @@ -215,13 +215,9 @@ def supports_class(self, python_type: type) -> bool: python_type: Any Python type. Returns: - True if pydantic is installed and ``python_type`` is a ``BaseModel`` - subclass. False if pydantic is not installed. + True if ``python_type`` is a ``BaseModel`` subclass. """ - try: - from pydantic import BaseModel - except ImportError: - return False + from pydantic import BaseModel return isinstance(python_type, type) and issubclass(python_type, BaseModel) def create_for_python_type( From 60e3212e6f071fafdd29db04ca98f49a97dc3201 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 05:43:22 +0000 Subject: [PATCH 154/206] feat(registry): add factories parameter to LogicalTypeRegistry.__init__ Adds a `factories` list parameter to `LogicalTypeRegistry.__init__` that accepts dicts with `factory`, `category`, and `python_bases` keys, and calls `register_logical_type_factory` for each entry during construction. --- src/orcapod/extension_types/registry.py | 12 +++- .../test_default_context_factories.py | 58 +++++++++++++++++++ 2 files changed, 69 insertions(+), 1 deletion(-) create mode 100644 tests/test_extension_types/test_default_context_factories.py diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 3db481cc..6e196812 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -202,7 +202,11 @@ class LogicalTypeRegistry: >>> registry = LogicalTypeRegistry(logical_types=[path_lt, uuid_lt]) """ - def __init__(self, logical_types: list[LogicalTypeProtocol] | None = None) -> None: + def __init__( + self, + logical_types: list[LogicalTypeProtocol] | None = None, + factories: list[dict] | None = None, + ) -> None: self._by_logical_name: dict[str, LogicalTypeProtocol] = {} self._by_arrow_name: dict[str, LogicalTypeProtocol] = {} self._by_python_type: dict[type, LogicalTypeProtocol] = {} @@ -210,6 +214,12 @@ def __init__(self, logical_types: list[LogicalTypeProtocol] | None = None) -> No self._python_class_factories: dict[type, LogicalTypeFactoryProtocol] = {} for lt in (logical_types or []): self.register_logical_type(lt) + for entry in (factories or []): + self.register_logical_type_factory( + entry["factory"], + category=entry.get("category"), + python_bases=entry.get("python_bases", []), + ) def register_logical_type(self, logical_type: LogicalTypeProtocol) -> None: """Register *logical_type* and its PyArrow/Polars extension types. diff --git a/tests/test_extension_types/test_default_context_factories.py b/tests/test_extension_types/test_default_context_factories.py new file mode 100644 index 00000000..9d645e87 --- /dev/null +++ b/tests/test_extension_types/test_default_context_factories.py @@ -0,0 +1,58 @@ +"""Tests for LogicalTypeRegistry factories parameter and default context factory wiring.""" + +from __future__ import annotations + +import dataclasses + +import pytest + +from orcapod.extension_types.dataclass_logical_type_factory import ( + DataclassLogicalTypeFactory, + DATACLASS_CATEGORY, +) +from orcapod.extension_types.pydantic_logical_type_factory import ( + PydanticLogicalTypeFactory, + PYDANTIC_CATEGORY, +) +from orcapod.extension_types.registry import LogicalTypeRegistry + + +# ── Module-level dataclasses (local classes cannot be registered) ──────────── + +@dataclasses.dataclass +class _SimplePoint: + x: int + y: int + + +# ── Registry constructor unit tests ───────────────────────────────────────── + +def test_registry_factories_param_registers_category(): + """factories param registers the factory under the given category.""" + factory = DataclassLogicalTypeFactory() + registry = LogicalTypeRegistry( + factories=[{"factory": factory, "category": DATACLASS_CATEGORY, "python_bases": [object]}] + ) + assert registry._category_factories.get(DATACLASS_CATEGORY) is factory + + +def test_registry_factories_param_registers_python_base(): + """factories param registers the factory under each python_base.""" + factory = DataclassLogicalTypeFactory() + registry = LogicalTypeRegistry( + factories=[{"factory": factory, "category": DATACLASS_CATEGORY, "python_bases": [object]}] + ) + assert registry._python_class_factories.get(object) is factory + + +def test_registry_factories_param_empty_list_is_noop(): + """factories=[] constructs successfully with no registered factories.""" + registry = LogicalTypeRegistry(factories=[]) + assert registry._category_factories == {} + assert registry._python_class_factories == {} + + +def test_registry_factories_param_none_is_noop(): + """factories=None (default) constructs successfully.""" + registry = LogicalTypeRegistry(factories=None) + assert registry._category_factories == {} From d645035bfb0adcd0109d09399202a1cfeeb40b77 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 05:45:30 +0000 Subject: [PATCH 155/206] fix(registry): strengthen test assertion and document factories param in docstring Add missing assertion for _python_class_factories in test_registry_factories_param_none_is_noop to match the pattern from test_registry_factories_param_empty_list_is_noop. Update the LogicalTypeRegistry class docstring to document the factories constructor parameter, including a description of its expected dict structure. Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/extension_types/registry.py | 5 +++++ tests/test_extension_types/test_default_context_factories.py | 1 + 2 files changed, 6 insertions(+) diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 6e196812..8711b59b 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -193,6 +193,11 @@ class LogicalTypeRegistry: the same pattern as ``SemanticTypeRegistry``'s ``converters`` constructor argument. + An optional ``factories`` list can also be passed to pre-register + ``LogicalTypeFactoryProtocol`` instances at construction time. Each entry is a + dict with keys ``factory`` (the factory instance), ``category`` (optional str), + and ``python_bases`` (optional list of types). + Example: >>> registry = LogicalTypeRegistry() >>> registry.register_logical_type(my_logical_type) diff --git a/tests/test_extension_types/test_default_context_factories.py b/tests/test_extension_types/test_default_context_factories.py index 9d645e87..e3c36041 100644 --- a/tests/test_extension_types/test_default_context_factories.py +++ b/tests/test_extension_types/test_default_context_factories.py @@ -56,3 +56,4 @@ def test_registry_factories_param_none_is_noop(): """factories=None (default) constructs successfully.""" registry = LogicalTypeRegistry(factories=None) assert registry._category_factories == {} + assert registry._python_class_factories == {} From 17baa148f0e0dfc6aeb48c06d7842caa69bb8508 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 05:47:11 +0000 Subject: [PATCH 156/206] feat(contexts): wire DataclassLogicalTypeFactory and PydanticLogicalTypeFactory into v0.1 default context --- src/orcapod/contexts/data/v0.1.json | 18 ++++++++++++++ .../test_default_context_factories.py | 24 +++++++++++++++++++ 2 files changed, 42 insertions(+) diff --git a/src/orcapod/contexts/data/v0.1.json b/src/orcapod/contexts/data/v0.1.json index f93a58b7..de52d5bf 100644 --- a/src/orcapod/contexts/data/v0.1.json +++ b/src/orcapod/contexts/data/v0.1.json @@ -55,6 +55,24 @@ "_class": "orcapod.extension_types.builtin_logical_types.LogicalUUID", "_config": {} } + ], + "factories": [ + { + "factory": { + "_class": "orcapod.extension_types.dataclass_logical_type_factory.DataclassLogicalTypeFactory", + "_config": {} + }, + "category": "orcapod.dataclass", + "python_bases": [{"_type": "builtins.object"}] + }, + { + "factory": { + "_class": "orcapod.extension_types.pydantic_logical_type_factory.PydanticLogicalTypeFactory", + "_config": {} + }, + "category": "orcapod.pydantic", + "python_bases": [{"_type": "pydantic.BaseModel"}] + } ] } } diff --git a/tests/test_extension_types/test_default_context_factories.py b/tests/test_extension_types/test_default_context_factories.py index e3c36041..d79f8cf5 100644 --- a/tests/test_extension_types/test_default_context_factories.py +++ b/tests/test_extension_types/test_default_context_factories.py @@ -57,3 +57,27 @@ def test_registry_factories_param_none_is_noop(): registry = LogicalTypeRegistry(factories=None) assert registry._category_factories == {} assert registry._python_class_factories == {} + + +# ── Default context integration tests ──────────────────────────────────────── +# +# All tests use create_registry().get_context() — NOT get_default_context() — +# to avoid cross-test contamination via the global singleton cache. + +from orcapod.contexts import create_registry + + +def test_default_context_has_dataclass_factory(): + """Default context registers DataclassLogicalTypeFactory under orcapod.dataclass.""" + ctx = create_registry().get_context() + registry = ctx.type_converter._logical_type_registry + factory = registry._category_factories.get(DATACLASS_CATEGORY) + assert isinstance(factory, DataclassLogicalTypeFactory) + + +def test_default_context_has_pydantic_factory(): + """Default context registers PydanticLogicalTypeFactory under orcapod.pydantic.""" + ctx = create_registry().get_context() + registry = ctx.type_converter._logical_type_registry + factory = registry._category_factories.get(PYDANTIC_CATEGORY) + assert isinstance(factory, PydanticLogicalTypeFactory) From 2866be1890855f06dfdbb40b099a33315151af83 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 05:50:05 +0000 Subject: [PATCH 157/206] test(registry): add default context auto-registration and Parquet round-trip tests Co-Authored-By: Claude Sonnet 4.6 --- .../test_default_context_factories.py | 89 +++++++++++++++++++ 1 file changed, 89 insertions(+) diff --git a/tests/test_extension_types/test_default_context_factories.py b/tests/test_extension_types/test_default_context_factories.py index d79f8cf5..79118160 100644 --- a/tests/test_extension_types/test_default_context_factories.py +++ b/tests/test_extension_types/test_default_context_factories.py @@ -25,6 +25,14 @@ class _SimplePoint: y: int +from pydantic import BaseModel + + +class _SimpleModel(BaseModel): + name: str + score: float + + # ── Registry constructor unit tests ───────────────────────────────────────── def test_registry_factories_param_registers_category(): @@ -81,3 +89,84 @@ def test_default_context_has_pydantic_factory(): registry = ctx.type_converter._logical_type_registry factory = registry._category_factories.get(PYDANTIC_CATEGORY) assert isinstance(factory, PydanticLogicalTypeFactory) + + +# ── Auto-registration tests ─────────────────────────────────────────────────── + +import pyarrow as pa +from orcapod.extension_types.database_hooks import apply_extension_types, register_discovered_extensions + + +def test_default_context_dataclass_auto_registered_on_use(): + """register_python_class on a dataclass works zero-setup via the default context.""" + converter = create_registry().get_context().type_converter + arrow_type = converter.register_python_class(_SimplePoint) + assert isinstance(arrow_type, pa.ExtensionType) + fqcn = f"{_SimplePoint.__module__}.{_SimplePoint.__qualname__}" + assert arrow_type.extension_name == fqcn + + +def test_default_context_pydantic_auto_registered_on_use(): + """register_python_class on a pydantic model works zero-setup via the default context.""" + converter = create_registry().get_context().type_converter + arrow_type = converter.register_python_class(_SimpleModel) + assert isinstance(arrow_type, pa.ExtensionType) + fqcn = f"{_SimpleModel.__module__}.{_SimpleModel.__qualname__}" + assert arrow_type.extension_name == fqcn + + +# ── Parquet round-trip tests ───────────────────────────────────────────────── + +import pyarrow.parquet as pq + + +def test_default_context_dataclass_parquet_roundtrip(tmp_path): + """Dataclass round-trips through Parquet with no manual factory registration.""" + # Write path — fresh context, no manual factory setup + write_converter = create_registry().get_context().type_converter + write_converter.register_python_class(_SimplePoint) + arrow_schema = write_converter.python_schema_to_arrow_schema({"point": _SimplePoint}) + rows = [{"point": _SimplePoint(x=3, y=7)}] + table = write_converter.python_dicts_to_arrow_table(rows, arrow_schema=arrow_schema) + + parquet_path = tmp_path / "point.parquet" + pq.write_table(table, parquet_path) + + # Read path — another fresh context, no manual factory setup + read_converter = create_registry().get_context().type_converter + read_table = pq.read_table(parquet_path) + register_discovered_extensions(read_converter, read_table.schema) + read_table = apply_extension_types(read_table, read_converter._logical_type_registry) + + rows_out = read_converter.arrow_table_to_python_dicts(read_table) + assert len(rows_out) == 1 + result = rows_out[0]["point"] + assert isinstance(result, _SimplePoint) + assert result.x == 3 + assert result.y == 7 + + +def test_default_context_pydantic_parquet_roundtrip(tmp_path): + """Pydantic model round-trips through Parquet with no manual factory registration.""" + # Write path — fresh context, no manual factory setup + write_converter = create_registry().get_context().type_converter + write_converter.register_python_class(_SimpleModel) + arrow_schema = write_converter.python_schema_to_arrow_schema({"model": _SimpleModel}) + rows = [{"model": _SimpleModel(name="alice", score=9.5)}] + table = write_converter.python_dicts_to_arrow_table(rows, arrow_schema=arrow_schema) + + parquet_path = tmp_path / "model.parquet" + pq.write_table(table, parquet_path) + + # Read path — another fresh context, no manual factory setup + read_converter = create_registry().get_context().type_converter + read_table = pq.read_table(parquet_path) + register_discovered_extensions(read_converter, read_table.schema) + read_table = apply_extension_types(read_table, read_converter._logical_type_registry) + + rows_out = read_converter.arrow_table_to_python_dicts(read_table) + assert len(rows_out) == 1 + result = rows_out[0]["model"] + assert isinstance(result, _SimpleModel) + assert result.name == "alice" + assert result.score == 9.5 From 334f84f689dea73e2d89a93fa83de4aa447b058a Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 05:55:55 +0000 Subject: [PATCH 158/206] style(test): move imports to top and add fixture docstrings in test_default_context_factories Co-Authored-By: Claude Sonnet 4.6 --- .../test_default_context_factories.py | 18 +++++++----------- 1 file changed, 7 insertions(+), 11 deletions(-) diff --git a/tests/test_extension_types/test_default_context_factories.py b/tests/test_extension_types/test_default_context_factories.py index 79118160..93285d5f 100644 --- a/tests/test_extension_types/test_default_context_factories.py +++ b/tests/test_extension_types/test_default_context_factories.py @@ -4,8 +4,12 @@ import dataclasses -import pytest +import pyarrow as pa +import pyarrow.parquet as pq +from pydantic import BaseModel +from orcapod.contexts import create_registry +from orcapod.extension_types.database_hooks import apply_extension_types, register_discovered_extensions from orcapod.extension_types.dataclass_logical_type_factory import ( DataclassLogicalTypeFactory, DATACLASS_CATEGORY, @@ -21,14 +25,13 @@ @dataclasses.dataclass class _SimplePoint: + """Minimal dataclass used as a test fixture.""" x: int y: int -from pydantic import BaseModel - - class _SimpleModel(BaseModel): + """Minimal pydantic model used as a test fixture.""" name: str score: float @@ -72,8 +75,6 @@ def test_registry_factories_param_none_is_noop(): # All tests use create_registry().get_context() — NOT get_default_context() — # to avoid cross-test contamination via the global singleton cache. -from orcapod.contexts import create_registry - def test_default_context_has_dataclass_factory(): """Default context registers DataclassLogicalTypeFactory under orcapod.dataclass.""" @@ -93,9 +94,6 @@ def test_default_context_has_pydantic_factory(): # ── Auto-registration tests ─────────────────────────────────────────────────── -import pyarrow as pa -from orcapod.extension_types.database_hooks import apply_extension_types, register_discovered_extensions - def test_default_context_dataclass_auto_registered_on_use(): """register_python_class on a dataclass works zero-setup via the default context.""" @@ -117,8 +115,6 @@ def test_default_context_pydantic_auto_registered_on_use(): # ── Parquet round-trip tests ───────────────────────────────────────────────── -import pyarrow.parquet as pq - def test_default_context_dataclass_parquet_roundtrip(tmp_path): """Dataclass round-trips through Parquet with no manual factory registration.""" From 1d17eb9e30123a4fde0abde8480a427db367e845 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 06:01:01 +0000 Subject: [PATCH 159/206] chore(deps): update uv.lock to reflect pydantic as required dependency Co-Authored-By: Claude Sonnet 4.6 --- uv.lock | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/uv.lock b/uv.lock index 04007432..9dcd253e 100644 --- a/uv.lock +++ b/uv.lock @@ -2301,6 +2301,7 @@ dependencies = [ { name = "pandas" }, { name = "polars" }, { name = "pyarrow" }, + { name = "pydantic" }, { name = "pygraphviz" }, { name = "pymongo" }, { name = "pyyaml" }, @@ -2317,7 +2318,6 @@ dependencies = [ all = [ { name = "ipywidgets" }, { name = "psycopg", extra = ["binary"] }, - { name = "pydantic" }, { name = "pyspiral" }, { name = "ray", extra = ["default"] }, { name = "redis" }, @@ -2325,9 +2325,6 @@ all = [ postgresql = [ { name = "psycopg", extra = ["binary"] }, ] -pydantic = [ - { name = "pydantic" }, -] ray = [ { name = "ipywidgets" }, { name = "ray", extra = ["default"] }, @@ -2384,8 +2381,7 @@ requires-dist = [ { name = "psycopg", extras = ["binary"], marker = "extra == 'all'", specifier = ">=3.0" }, { name = "psycopg", extras = ["binary"], marker = "extra == 'postgresql'", specifier = ">=3.0" }, { name = "pyarrow", specifier = ">=20.0.0" }, - { name = "pydantic", marker = "extra == 'all'", specifier = ">=2.0" }, - { name = "pydantic", marker = "extra == 'pydantic'", specifier = ">=2.0" }, + { name = "pydantic", specifier = ">=2.0" }, { name = "pygraphviz", specifier = ">=1.14" }, { name = "pymongo", specifier = ">=4.15.5" }, { name = "pyspiral", marker = "extra == 'all'", specifier = ">=0.14.0" }, @@ -2403,7 +2399,7 @@ requires-dist = [ { name = "uuid-utils", specifier = ">=0.11.1" }, { name = "xxhash" }, ] -provides-extras = ["all", "postgresql", "pydantic", "ray", "redis", "spiraldb"] +provides-extras = ["all", "postgresql", "ray", "redis", "spiraldb"] [package.metadata.requires-dev] dev = [ From 5970df24c9d53e77886b3b01c90ef9c3fb694506 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 06:14:01 +0000 Subject: [PATCH 160/206] fix(test): use converter.apply_extension_types instead of module-level function --- .../test_extension_types/test_default_context_factories.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/tests/test_extension_types/test_default_context_factories.py b/tests/test_extension_types/test_default_context_factories.py index 93285d5f..6beea6e5 100644 --- a/tests/test_extension_types/test_default_context_factories.py +++ b/tests/test_extension_types/test_default_context_factories.py @@ -9,7 +9,7 @@ from pydantic import BaseModel from orcapod.contexts import create_registry -from orcapod.extension_types.database_hooks import apply_extension_types, register_discovered_extensions +from orcapod.extension_types.database_hooks import register_discovered_extensions from orcapod.extension_types.dataclass_logical_type_factory import ( DataclassLogicalTypeFactory, DATACLASS_CATEGORY, @@ -132,7 +132,7 @@ def test_default_context_dataclass_parquet_roundtrip(tmp_path): read_converter = create_registry().get_context().type_converter read_table = pq.read_table(parquet_path) register_discovered_extensions(read_converter, read_table.schema) - read_table = apply_extension_types(read_table, read_converter._logical_type_registry) + read_table = read_converter.apply_extension_types(read_table) rows_out = read_converter.arrow_table_to_python_dicts(read_table) assert len(rows_out) == 1 @@ -158,7 +158,7 @@ def test_default_context_pydantic_parquet_roundtrip(tmp_path): read_converter = create_registry().get_context().type_converter read_table = pq.read_table(parquet_path) register_discovered_extensions(read_converter, read_table.schema) - read_table = apply_extension_types(read_table, read_converter._logical_type_registry) + read_table = read_converter.apply_extension_types(read_table) rows_out = read_converter.arrow_table_to_python_dicts(read_table) assert len(rows_out) == 1 From 6e9010eabf6b4d2047155b1e4bf85218e0487f67 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 06:23:12 +0000 Subject: [PATCH 161/206] feat(converter): add register_discovered_extensions method to UniversalTypeConverter --- src/orcapod/extension_types/protocols.py | 4 ++++ .../semantic_types/universal_converter.py | 24 ++++++++++++++++++- .../test_default_context_factories.py | 5 ++-- 3 files changed, 29 insertions(+), 4 deletions(-) diff --git a/src/orcapod/extension_types/protocols.py b/src/orcapod/extension_types/protocols.py index 01ffae4e..6c30a077 100644 --- a/src/orcapod/extension_types/protocols.py +++ b/src/orcapod/extension_types/protocols.py @@ -71,6 +71,10 @@ def apply_extension_types(self, table: "pa.Table") -> "pa.Table": """Re-wrap table columns into their registered Arrow extension types.""" ... + def register_discovered_extensions(self, schema: "pa.Schema") -> None: + """Register any extension types found in ``schema`` that are not yet known.""" + ... + def register_arrow_extension( self, arrow_extension_name: str, diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index 350f7295..33d87a50 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -522,7 +522,7 @@ def apply_extension_types(self, table: "pa.Table") -> "pa.Table": when the registry is absent or when the table contains no columns with ``ARROW:extension:name`` field metadata. - Call ``register_discovered_extensions(self, table.schema)`` first to + Call ``self.register_discovered_extensions(table.schema)`` first to ensure all extension types in the schema are registered before calling this method. @@ -542,6 +542,28 @@ def apply_extension_types(self, table: "pa.Table") -> "pa.Table": ) return _apply_ext(table, self._logical_type_registry) + def register_discovered_extensions(self, schema: "pa.Schema") -> None: + """Register any extension types found in ``schema`` that are not yet known. + + A convenience wrapper around the module-level ``register_discovered_extensions`` + function. Walks ``schema`` recursively and registers each discovered extension + type via this converter's ``register_arrow_extension``. Already-registered types + are skipped. No-op when the schema contains no extension types. + + Call this before ``apply_extension_types`` when reading a table from Parquet or + IPC to ensure all extension types in the schema are registered: + + converter.register_discovered_extensions(table.schema) + table = converter.apply_extension_types(table) + + Args: + schema: The Arrow schema to inspect for extension types. + """ + from orcapod.extension_types.database_hooks import ( + register_discovered_extensions as _reg_disc, + ) + _reg_disc(self, schema) + def register_arrow_extension( self, arrow_extension_name: str, diff --git a/tests/test_extension_types/test_default_context_factories.py b/tests/test_extension_types/test_default_context_factories.py index 6beea6e5..cdbb0237 100644 --- a/tests/test_extension_types/test_default_context_factories.py +++ b/tests/test_extension_types/test_default_context_factories.py @@ -9,7 +9,6 @@ from pydantic import BaseModel from orcapod.contexts import create_registry -from orcapod.extension_types.database_hooks import register_discovered_extensions from orcapod.extension_types.dataclass_logical_type_factory import ( DataclassLogicalTypeFactory, DATACLASS_CATEGORY, @@ -131,7 +130,7 @@ def test_default_context_dataclass_parquet_roundtrip(tmp_path): # Read path — another fresh context, no manual factory setup read_converter = create_registry().get_context().type_converter read_table = pq.read_table(parquet_path) - register_discovered_extensions(read_converter, read_table.schema) + read_converter.register_discovered_extensions(read_table.schema) read_table = read_converter.apply_extension_types(read_table) rows_out = read_converter.arrow_table_to_python_dicts(read_table) @@ -157,7 +156,7 @@ def test_default_context_pydantic_parquet_roundtrip(tmp_path): # Read path — another fresh context, no manual factory setup read_converter = create_registry().get_context().type_converter read_table = pq.read_table(parquet_path) - register_discovered_extensions(read_converter, read_table.schema) + read_converter.register_discovered_extensions(read_table.schema) read_table = read_converter.apply_extension_types(read_table) rows_out = read_converter.arrow_table_to_python_dicts(read_table) From 144fe5db220844b34b8b0bd4be3a5aae703d1b38 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 06:24:24 +0000 Subject: [PATCH 162/206] feat(converter): add load_extension_types convenience method combining register and apply --- src/orcapod/extension_types/protocols.py | 4 ++++ .../semantic_types/universal_converter.py | 21 +++++++++++++++++++ .../test_default_context_factories.py | 8 ++----- 3 files changed, 27 insertions(+), 6 deletions(-) diff --git a/src/orcapod/extension_types/protocols.py b/src/orcapod/extension_types/protocols.py index 6c30a077..95c8d83c 100644 --- a/src/orcapod/extension_types/protocols.py +++ b/src/orcapod/extension_types/protocols.py @@ -75,6 +75,10 @@ def register_discovered_extensions(self, schema: "pa.Schema") -> None: """Register any extension types found in ``schema`` that are not yet known.""" ... + def load_extension_types(self, table: "pa.Table") -> "pa.Table": + """Register and apply extension types for *table* in one step.""" + ... + def register_arrow_extension( self, arrow_extension_name: str, diff --git a/src/orcapod/semantic_types/universal_converter.py b/src/orcapod/semantic_types/universal_converter.py index 33d87a50..8150776c 100644 --- a/src/orcapod/semantic_types/universal_converter.py +++ b/src/orcapod/semantic_types/universal_converter.py @@ -564,6 +564,27 @@ def register_discovered_extensions(self, schema: "pa.Schema") -> None: ) _reg_disc(self, schema) + def load_extension_types(self, table: "pa.Table") -> "pa.Table": + """Register and apply extension types for *table* in one step. + + Convenience wrapper that calls ``register_discovered_extensions`` followed + by ``apply_extension_types``. Use this as the standard post-read step after + loading a table from Parquet or IPC: + + table = converter.load_extension_types(pq.read_table(path)) + + Args: + table: Arrow table as returned by a Parquet or IPC read, whose columns + may carry ``ARROW:extension:*`` field metadata but were loaded as + plain storage types. + + Returns: + A new ``pa.Table`` with extension-typed columns re-wrapped, or the + original *table* unchanged if no extension types are present. + """ + self.register_discovered_extensions(table.schema) + return self.apply_extension_types(table) + def register_arrow_extension( self, arrow_extension_name: str, diff --git a/tests/test_extension_types/test_default_context_factories.py b/tests/test_extension_types/test_default_context_factories.py index cdbb0237..ed914b84 100644 --- a/tests/test_extension_types/test_default_context_factories.py +++ b/tests/test_extension_types/test_default_context_factories.py @@ -129,9 +129,7 @@ def test_default_context_dataclass_parquet_roundtrip(tmp_path): # Read path — another fresh context, no manual factory setup read_converter = create_registry().get_context().type_converter - read_table = pq.read_table(parquet_path) - read_converter.register_discovered_extensions(read_table.schema) - read_table = read_converter.apply_extension_types(read_table) + read_table = read_converter.load_extension_types(pq.read_table(parquet_path)) rows_out = read_converter.arrow_table_to_python_dicts(read_table) assert len(rows_out) == 1 @@ -155,9 +153,7 @@ def test_default_context_pydantic_parquet_roundtrip(tmp_path): # Read path — another fresh context, no manual factory setup read_converter = create_registry().get_context().type_converter - read_table = pq.read_table(parquet_path) - read_converter.register_discovered_extensions(read_table.schema) - read_table = read_converter.apply_extension_types(read_table) + read_table = read_converter.load_extension_types(pq.read_table(parquet_path)) rows_out = read_converter.arrow_table_to_python_dicts(read_table) assert len(rows_out) == 1 From 09b77a79eaaa70796c6c9c155c75d5ee150098e5 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 18 Jun 2026 06:31:31 +0000 Subject: [PATCH 163/206] =?UTF-8?q?docs(spec):=20fix=20class=20name=20typo?= =?UTF-8?q?=20DataclassHandlerFactory=20=E2=86=92=20DataclassLogicalTypeFa?= =?UTF-8?q?ctory?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ...6-18-plt-1701-wire-factories-into-default-registry-design.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/superpowers/specs/2026-06-18-plt-1701-wire-factories-into-default-registry-design.md b/superpowers/specs/2026-06-18-plt-1701-wire-factories-into-default-registry-design.md index 6cdfcec7..e3a94aee 100644 --- a/superpowers/specs/2026-06-18-plt-1701-wire-factories-into-default-registry-design.md +++ b/superpowers/specs/2026-06-18-plt-1701-wire-factories-into-default-registry-design.md @@ -1,4 +1,4 @@ -# PLT-1701: Wire DataclassHandlerFactory and PydanticLogicalTypeFactory into the Default LogicalTypeRegistry +# PLT-1701: Wire DataclassLogicalTypeFactory and PydanticLogicalTypeFactory into the Default LogicalTypeRegistry **Date:** 2026-06-18 **Issue:** PLT-1701 From 48c21e84eb0cc94fa53d45da88a7993cba9e7b9f Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 23 Jun 2026 22:58:04 +0000 Subject: [PATCH 164/206] docs(specs): add PLT-1659 integration test design spec --- ...type-roundtrip-integration-tests-design.md | 223 ++++++++++++++++++ 1 file changed, 223 insertions(+) create mode 100644 superpowers/specs/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests-design.md diff --git a/superpowers/specs/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests-design.md b/superpowers/specs/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests-design.md new file mode 100644 index 00000000..1296d71c --- /dev/null +++ b/superpowers/specs/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests-design.md @@ -0,0 +1,223 @@ +# PLT-1659: End-to-End Extension Type Round-Trip Integration Tests — Design Spec + +**Date:** 2026-06-23 +**Linear issue:** PLT-1659 +**Branch:** `eywalker/plt-1659-integration-tests-end-to-end-semantic-type-round-trips` +**PR target:** `extension-type-system` + +--- + +## Overview + +This spec covers the design of end-to-end integration tests for the Arrow/Polars extension type +system introduced in the `extension-type-system` branch. The tests validate the complete pipeline: + +``` +Python object → write → storage → peek-schema → register → read → Python object +``` + +These are *integration* tests only. Existing unit tests in `tests/test_extension_types/` (registry, +schema walker, database hooks, built-in logical types, protocols) are not duplicated. + +--- + +## What Is Tested + +### Built-in types: `Path`, `UPath`, `UUID` + +Round-trip through all three storage backends. Assertions: +- Python object is faithfully reconstructed after read. +- Arrow extension names are in the `orcapod.*` namespace (`orcapod.path`, `orcapod.upath`, + `orcapod.uuid`). + +### Dataclass types + +- **Simple dataclass** (scalar fields only): write → read → verify field values. +- **Two dataclasses with identical struct shape, different class names** (`_PointA` vs `_PointB`): + verify they are stored and recovered as distinct extension types (distinct Arrow extension names). +- **Nested dataclass** (outer contains inner as a field): write → read → verify recursive + reconstruction; assert both inner and outer types are registered after the read. + +### Delta Lake direct read + +Write a dataclass column to Delta Lake. Read back via `pl.read_delta` (Polars native Delta +reader). Assert the column dtype carries the correct extension type. + +### Schema compatibility + +Two sub-areas: + +- **Arrow-level identity**: `converter.python_schema_to_arrow_schema` for `_PointA` and `_PointB` + produces distinct Arrow extension names, even though the underlying struct shapes are identical. +- **Python-type-level compatibility**: `check_schema_compatibility` from `schema_utils` correctly + passes when types match and rejects when the same-shaped-but-different-named types are used. + +### Per-process cache behavior + +- **Cache populated on read**: fresh converter + Parquet file containing a registered dataclass → + after `converter.load_extension_types(...)`, the type is present in the registry. +- **Factory skipped on second read**: patching `factory.reconstruct_from_arrow` confirms it is + called exactly once on first read and zero times on second read (registry hit short-circuits + factory dispatch). + +--- + +## What Is Explicitly Out of Scope + +| Excluded | Reason | Tracked in | +|---|---|---| +| `list[MyDataclass]` round-trip | Known limitation (ET2); requires `ListLogicalType` infrastructure | PLT-1732 | +| Picklable types | `PicklableLogicalTypeFactory` (PLT-1658) not yet implemented | PLT-1658 | +| Pydantic round-trips | Already covered in `test_default_context_factories.py` | — | +| Duplicate unit tests | Existing unit tests in `test_extension_types/` are not repeated | — | + +--- + +## File Organisation + +Three new files, all in `tests/test_extension_types/`: + +``` +tests/test_extension_types/ +├── test_roundtrips.py # Write/read round-trips across backends +├── test_schema_compatibility.py # Arrow-level + Python-type-level compatibility +└── test_cache_behavior.py # Per-process cache: populated / skipped on second read +``` + +--- + +## Backend Parameterisation + +`test_roundtrips.py` parameterises over three storage backends via a `_StorageBackend` +dataclass with two callables: + +```python +@dataclasses.dataclass +class _StorageBackend: + name: str + write: Callable[[pa.Table, Path], None] + read: Callable[[Path, UniversalTypeConverter], pa.Table] +``` + +| `name` | `write` | `read` | +|---|---|---| +| `"parquet"` | `pq.write_table(table, path / "data.parquet")` | `converter.load_extension_types(pq.read_table(path / "data.parquet"))` | +| `"delta"` | `deltalake.write_deltalake(str(path / "delta"), table)` | `converter.load_extension_types(DeltaTable(str(path / "delta")).to_pyarrow_table())` | +| `"sqlite"` | `ConnectorArrowDatabase(SQLiteConnector(path / "db.sqlite")).add_record(...).flush()` | `ExtensionAwareDatabase(db, converter).get_all_records(...)` → drop `__record_id` column | + +The `read` callable always returns a `pa.Table` containing only the original user data columns +(metadata columns like `__record_id` stripped for database backends). + +A `@pytest.fixture(params=[...])` named `storage_backend` yields one `_StorageBackend` per run. + +--- + +## Module-Level Test Fixtures + +All test dataclasses must be defined at module level — `DataclassLogicalTypeFactory` rejects +local classes because they have no stable FQCN for reconstruction on read. + +```python +# test_roundtrips.py, test_schema_compatibility.py, and test_cache_behavior.py +# Each file defines its own module-level dataclasses — no sharing across files. +@dataclasses.dataclass +class _PointA: + x: int + y: int + +@dataclasses.dataclass +class _PointB: # same shape as _PointA, different class name + x: int + y: int + +@dataclasses.dataclass +class _Inner: + value: int + +@dataclasses.dataclass +class _Outer: + inner: _Inner + label: str +``` + +Each test creates its own converter via `create_registry().get_context().type_converter` (not +`get_default_context()`) to prevent cross-test contamination through the global singleton cache. + +--- + +## Test Descriptions + +### `test_roundtrips.py` + +#### Parameterised over all three backends + +**`test_builtin_path_round_trip[backend]`** +Write a `Path` column, read back, assert `pathlib.Path` values are reconstructed and the Arrow +field extension name is `"orcapod.path"`. + +**`test_builtin_upath_round_trip[backend]`** +Same for `UPath` / `"orcapod.upath"`. + +**`test_builtin_uuid_round_trip[backend]`** +Same for `uuid.UUID` / `"orcapod.uuid"`. + +**`test_simple_dataclass_round_trip[backend]`** +Write a `_PointA` column, read back, assert field values match and the Arrow field is an +`pa.ExtensionType` with extension name equal to the FQCN of `_PointA`. + +**`test_nested_dataclass_round_trip[backend]`** +Write an `_Outer` column. Read back. Assert: +- `_Outer` and `_Inner` are both in the registry after read. +- Reconstructed value is an `_Outer` with an `_Inner` field; all values correct. + +#### Delta Lake only + +**`test_delta_polars_read_delta`** +Write a `_PointA` column to Delta via `deltalake.write_deltalake`. Read back via +`pl.read_delta(str(delta_path))`. Assert the resulting Polars DataFrame column has dtype +that is a Polars extension type (i.e. the extension type survived the Delta round-trip). + +### `test_schema_compatibility.py` + +**`test_arrow_schema_distinct_extension_names_for_same_shape`** +Register `_PointA` and `_PointB` with a fresh converter. Assert: +```python +schema_a.field("value").type.extension_name != schema_b.field("value").type.extension_name +``` + +**`test_arrow_schema_same_extension_name_idempotent`** +Register `_PointA` twice. Assert the extension name is the same both times. + +**`test_python_schema_compatibility_passes_same_type`** +`check_schema_compatibility({"value": _PointA}, Schema({"value": _PointA}))` → `True`. + +**`test_python_schema_compatibility_rejects_different_type_same_shape`** +`check_schema_compatibility({"value": _PointA}, Schema({"value": _PointB}))` → `False`. +This is the core guarantee: the extension type system prevents same-shape-different-class +confusion that would have been silently accepted by the old shape-based system. + +### `test_cache_behavior.py` + +**`test_cache_populated_after_first_read`** +1. Write a Parquet file with a `_PointA` column (fresh converter, type registered for write). +2. Create a second fresh converter (type *not* pre-registered). +3. Call `read_converter.load_extension_types(pq.read_table(path))`. +4. Assert `read_converter._logical_type_registry.get_by_arrow_extension_name(fqcn)` is not `None`. + +**`test_factory_not_called_on_second_read`** +1. Write Parquet as above. +2. Fresh converter. Patch `DataclassLogicalTypeFactory.reconstruct_from_arrow` with a spy. +3. First `load_extension_types` call → spy called exactly once. +4. Second `load_extension_types` call on the same file → spy call count unchanged (registry hit). + +--- + +## Key Implementation Notes + +- Use `uv run pytest` (never bare `pytest`) per CLAUDE.md. +- No `POLARS_UNKNOWN_EXTENSION_TYPE_BEHAVIOR` env var needed — tests rely on registration. +- All tests use `tmp_path` (pytest built-in) for temp dirs; no external cluster required. +- SQLite backend uses `SQLiteConnector(str(tmp_path / "db.sqlite"))` — not `:memory:`, because + the `ConnectorArrowDatabase` instance is recreated between write and read to simulate + the separate-process scenario. +- Delta backend requires `deltalake` package (already a project dependency). From 676c81872e9fa523aebc4e1c693e63a1bac90d3d Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Tue, 23 Jun 2026 23:37:49 +0000 Subject: [PATCH 165/206] docs(plans): add PLT-1659 integration test implementation plan --- ...ension-type-roundtrip-integration-tests.md | 825 ++++++++++++++++++ 1 file changed, 825 insertions(+) create mode 100644 superpowers/plans/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests.md diff --git a/superpowers/plans/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests.md b/superpowers/plans/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests.md new file mode 100644 index 00000000..bab898df --- /dev/null +++ b/superpowers/plans/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests.md @@ -0,0 +1,825 @@ +# PLT-1659: Extension Type Round-Trip Integration Tests — Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use sensei:subagent-driven-development (recommended) or sensei:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Add three new integration test files covering end-to-end extension type round-trips through Parquet, Delta Lake, schema compatibility, and per-process cache behaviour. + +**Architecture:** Pure test-only change — no source files modified. Three focused test files: `test_roundtrips.py` (write/read through Parquet and Delta backends), `test_schema_compatibility.py` (Arrow-level identity + Python-type-level compatibility), `test_cache_behavior.py` (registry cache populated and skipped on second read). SQLite backend is excluded from value round-trip tests because `SQLiteConnector` does not preserve `ARROW:extension:*` field metadata; that pattern is already covered by `test_extension_aware_database.py`. + +**Tech Stack:** pytest, pyarrow, pyarrow.parquet, deltalake, polars, orcapod extension type APIs (`create_registry`, `UniversalTypeConverter`, `DataclassLogicalTypeFactory`), `unittest.mock.patch.object`. + +--- + +## File Map + +| Action | Path | +|---|---| +| Create | `tests/test_extension_types/test_schema_compatibility.py` | +| Create | `tests/test_extension_types/test_cache_behavior.py` | +| Create | `tests/test_extension_types/test_roundtrips.py` | + +No source files are modified. + +--- + +## Task 1: Create and check out the feature branch + +**Files:** none (git only) + +- [ ] **Step 1: Verify you are on `extension-type-system`** + +```bash +git branch --show-current +``` + +Expected output: `extension-type-system` + +- [ ] **Step 2: Create and check out the feature branch** + +```bash +git checkout -b eywalker/plt-1659-integration-tests-end-to-end-semantic-type-round-trips +git branch --show-current +``` + +Expected output: `eywalker/plt-1659-integration-tests-end-to-end-semantic-type-round-trips` + +--- + +## Task 2: `test_schema_compatibility.py` + +**Files:** +- Create: `tests/test_extension_types/test_schema_compatibility.py` + +This file has no backend dependencies — it only needs a fresh `UniversalTypeConverter` and `check_schema_compatibility`. + +- [ ] **Step 1: Write the test file** + +Create `tests/test_extension_types/test_schema_compatibility.py` with this exact content: + +```python +"""Integration tests for extension-type-backed schema compatibility. + +Two complementary angles: + +Arrow-level identity + ``converter.python_schema_to_arrow_schema`` assigns each dataclass a unique + Arrow extension name derived from its fully-qualified class name. Two + dataclasses with identical struct shapes but different class names therefore + produce *different* extension names — the core identity guarantee of the + extension type system. + +Python-type-level compatibility + ``check_schema_compatibility`` from ``schema_utils`` uses beartype + ``is_subhint`` to compare Python type annotations. Same class → compatible; + different class with the same struct shape → incompatible. This is the + property that prevents silent data corruption when two unrelated dataclasses + happen to share the same fields. +""" +from __future__ import annotations + +import dataclasses + +import pyarrow as pa + +from orcapod.contexts import create_registry +from orcapod.types import Schema +from orcapod.utils.schema_utils import check_schema_compatibility + + +# Module-level dataclasses — DataclassLogicalTypeFactory rejects local classes +# because they have no stable fully-qualified class name for reconstruction. + +@dataclasses.dataclass +class _PointA: + x: int + y: int + + +@dataclasses.dataclass +class _PointB: + """Same struct shape as _PointA but a different class name.""" + x: int + y: int + + +# ── Arrow-level identity tests ──────────────────────────────────────────────── + + +def test_arrow_schema_distinct_extension_names_for_same_shape(): + """_PointA and _PointB produce different Arrow extension names despite identical shapes. + + This is the core identity guarantee: struct shape alone does not determine + type identity in the extension type system. + """ + converter_a = create_registry().get_context().type_converter + converter_b = create_registry().get_context().type_converter + + type_a = converter_a.register_python_class(_PointA) + type_b = converter_b.register_python_class(_PointB) + + assert isinstance(type_a, pa.ExtensionType) + assert isinstance(type_b, pa.ExtensionType) + + fqcn_a = f"{_PointA.__module__}.{_PointA.__qualname__}" + fqcn_b = f"{_PointB.__module__}.{_PointB.__qualname__}" + assert type_a.extension_name == fqcn_a + assert type_b.extension_name == fqcn_b + assert type_a.extension_name != type_b.extension_name + + +def test_arrow_schema_same_extension_name_idempotent(): + """Registering _PointA twice returns the same extension name both times.""" + converter = create_registry().get_context().type_converter + + type_first = converter.register_python_class(_PointA) + type_second = converter.register_python_class(_PointA) + + assert isinstance(type_first, pa.ExtensionType) + assert isinstance(type_second, pa.ExtensionType) + assert type_first.extension_name == type_second.extension_name + + +# ── Python-type-level compatibility tests ───────────────────────────────────── + + +def test_python_schema_compatibility_passes_same_type(): + """Incoming _PointA is compatible with receiving _PointA.""" + result = check_schema_compatibility( + {"value": _PointA}, + Schema({"value": _PointA}), + ) + assert result is True + + +def test_python_schema_compatibility_rejects_different_type_same_shape(): + """Incoming _PointA is NOT compatible with receiving _PointB. + + Both dataclasses share the same struct shape {x: int, y: int}, but they + are different Python types. The old shape-based system would have accepted + this silently; the extension type system correctly rejects it. + """ + result = check_schema_compatibility( + {"value": _PointA}, + Schema({"value": _PointB}), + ) + assert result is False +``` + +- [ ] **Step 2: Run the tests and verify they pass** + +```bash +uv run pytest tests/test_extension_types/test_schema_compatibility.py -v +``` + +Expected: all 4 tests pass. + +- [ ] **Step 3: Commit** + +```bash +git add tests/test_extension_types/test_schema_compatibility.py +git commit -m "test(extension-types): add schema compatibility integration tests (PLT-1659)" +``` + +--- + +## Task 3: `test_cache_behavior.py` + +**Files:** +- Create: `tests/test_extension_types/test_cache_behavior.py` + +Uses Parquet as the storage backend (simplest — no database wrapper needed). The second test patches `DataclassLogicalTypeFactory.reconstruct_from_arrow` at the class level to count calls; `wraps=` preserves the original behaviour so the test still exercises the real code path. + +- [ ] **Step 1: Write the test file** + +Create `tests/test_extension_types/test_cache_behavior.py` with this exact content: + +```python +"""Integration tests for per-process extension type cache behaviour. + +The ``LogicalTypeRegistry`` stores registered types in an in-memory dict keyed +by Arrow extension name. ``register_discovered_extensions`` skips the factory +call (``reconstruct_from_arrow``) when the extension name is already present in +the registry — this is the "cache hit" path. + +Two tests: + +1. ``test_cache_populated_after_first_read`` — verifies the type is absent from + a fresh converter's registry before reading a Parquet file, and present after. + +2. ``test_factory_not_called_on_second_read`` — verifies that ``reconstruct_from_arrow`` + is called exactly once (first read) and zero additional times on the second + read of the same file. +""" +from __future__ import annotations + +import dataclasses +from unittest.mock import patch + +import pyarrow as pa +import pyarrow.parquet as pq + +from orcapod.contexts import create_registry +from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory + + +# Module-level dataclass — local classes cannot be reconstructed from FQCN. + +@dataclasses.dataclass +class _CachePoint: + x: int + y: int + + +# ── Helpers ─────────────────────────────────────────────────────────────────── + + +def _fresh_converter(): + """Return a fresh UniversalTypeConverter from a new registry instance. + + Uses ``create_registry()`` instead of ``get_default_context()`` to avoid + cross-test contamination through the global singleton cache. + """ + return create_registry().get_context().type_converter + + +def _write_parquet(tmp_path, converter) -> str: + """Write a _CachePoint column to Parquet and return the file path as str.""" + converter.register_python_class(_CachePoint) + arrow_schema = converter.python_schema_to_arrow_schema({"point": _CachePoint}) + rows = [{"point": _CachePoint(x=1, y=2)}] + table = converter.python_dicts_to_arrow_table(rows, arrow_schema=arrow_schema) + parquet_path = tmp_path / "cache_test.parquet" + pq.write_table(table, str(parquet_path)) + return str(parquet_path) + + +# ── Tests ───────────────────────────────────────────────────────────────────── + + +def test_cache_populated_after_first_read(tmp_path): + """Registry has _CachePoint after load_extension_types on a fresh converter. + + Before reading: the fresh converter's registry does not know about _CachePoint. + After reading: register_discovered_extensions triggers reconstruct_from_arrow + which registers _CachePoint, populating the cache. + """ + write_converter = _fresh_converter() + parquet_path = _write_parquet(tmp_path, write_converter) + + read_converter = _fresh_converter() + fqcn = f"{_CachePoint.__module__}.{_CachePoint.__qualname__}" + + # Before read: not registered + assert read_converter._logical_type_registry.get_by_arrow_extension_name(fqcn) is None + + read_converter.load_extension_types(pq.read_table(parquet_path)) + + # After read: registered (cache populated) + assert read_converter._logical_type_registry.get_by_arrow_extension_name(fqcn) is not None + + +def test_factory_not_called_on_second_read(tmp_path): + """reconstruct_from_arrow called once on first read, zero times on second read. + + On first read, register_discovered_extensions finds _CachePoint's extension + name in the schema, dispatches to the factory (call count = 1), and stores + the result in the registry. + + On second read, register_discovered_extensions finds the extension name already + in the registry and short-circuits — the factory is not called again + (call count remains 1). + """ + write_converter = _fresh_converter() + parquet_path = _write_parquet(tmp_path, write_converter) + + read_converter = _fresh_converter() + + with patch.object( + DataclassLogicalTypeFactory, + "reconstruct_from_arrow", + wraps=DataclassLogicalTypeFactory.reconstruct_from_arrow, + ) as spy: + # First read: factory is called once + read_converter.load_extension_types(pq.read_table(parquet_path)) + assert spy.call_count == 1, f"Expected 1 factory call, got {spy.call_count}" + + # Second read on the same file: registry hit — factory not called again + read_converter.load_extension_types(pq.read_table(parquet_path)) + assert spy.call_count == 1, ( + f"Expected still 1 factory call after second read, got {spy.call_count}" + ) +``` + +- [ ] **Step 2: Run the tests and verify they pass** + +```bash +uv run pytest tests/test_extension_types/test_cache_behavior.py -v +``` + +Expected: both tests pass. + +- [ ] **Step 3: Commit** + +```bash +git add tests/test_extension_types/test_cache_behavior.py +git commit -m "test(extension-types): add per-process cache behaviour integration tests (PLT-1659)" +``` + +--- + +## Task 4: `test_roundtrips.py` — backend fixture + all parametrised tests + +**Files:** +- Create: `tests/test_extension_types/test_roundtrips.py` + +**Important note on SQLite:** `SQLiteConnector` maps Arrow types to SQL column types and does not preserve `ARROW:extension:*` field metadata. `ExtensionAwareDatabase` relies on that metadata to auto-register and re-wrap extension types on read. Without it, `apply_extension_types` is a no-op and values are returned as plain storage scalars (string, bytes, dict). SQLite backend round-trip tests are therefore omitted from this file; the `ExtensionAwareDatabase` wrapper behaviour is already covered by `tests/test_databases/test_extension_aware_database.py`. + +The Parquet and Delta backends both preserve field metadata (through the Arrow → Parquet encoding) and fully support the peek-register-read pattern. + +- [ ] **Step 1: Write the test file** + +Create `tests/test_extension_types/test_roundtrips.py` with this exact content: + +```python +"""End-to-end integration tests for extension type round-trips. + +Tests the complete pipeline: + + Python object → write → storage → peek-schema → register → read → Python object + +Each round-trip test is parameterised over two storage backends: + +- ``parquet``: direct ``pyarrow.parquet`` write/read. +- ``delta``: ``deltalake.write_deltalake`` / ``DeltaTable.to_pyarrow_table()``. + +SQLite (``ConnectorArrowDatabase`` + ``SQLiteConnector``) is excluded because +``SQLiteConnector`` maps Arrow types to SQL column types and discards +``ARROW:extension:*`` field metadata. Without that metadata, the +peek-register-read pattern cannot auto-register extension types on the read +path. The ``ExtensionAwareDatabase`` wrapper behaviour over SQLite is already +tested in ``tests/test_databases/test_extension_aware_database.py``. +""" +from __future__ import annotations + +import dataclasses +import pathlib +import uuid as uuid_module +from pathlib import Path +from typing import Callable + +import pyarrow as pa +import pyarrow.parquet as pq +import pytest +from upath import UPath + +from orcapod.contexts import create_registry +from orcapod.semantic_types.universal_converter import UniversalTypeConverter + + +# ── Module-level dataclasses ────────────────────────────────────────────────── +# DataclassLogicalTypeFactory rejects local (in-function) classes because they +# have no stable fully-qualified class name for reconstruction from Arrow schema. + +@dataclasses.dataclass +class _PointA: + x: int + y: int + + +@dataclasses.dataclass +class _PointB: + """Same struct shape as _PointA, different class name.""" + x: int + y: int + + +@dataclasses.dataclass +class _Inner: + value: int + + +@dataclasses.dataclass +class _Outer: + inner: _Inner + label: str + + +# ── Storage backend abstraction ─────────────────────────────────────────────── + + +@dataclasses.dataclass +class _StorageBackend: + """Encapsulates backend-specific write and read logic for parameterised tests. + + Args: + name: Short identifier used in pytest test IDs (e.g. ``"parquet"``). + write: Callable that writes an Arrow table to a directory. + read: Callable that reads from that directory and returns an Arrow table + with extension types registered and applied. Must return only the + original user data columns (no ``__record_id`` or similar). + """ + name: str + write: Callable[[pa.Table, Path], None] + read: Callable[[Path, UniversalTypeConverter], pa.Table] + + +def _parquet_write(table: pa.Table, base_path: Path) -> None: + pq.write_table(table, str(base_path / "data.parquet")) + + +def _parquet_read(base_path: Path, converter: UniversalTypeConverter) -> pa.Table: + return converter.load_extension_types(pq.read_table(str(base_path / "data.parquet"))) + + +def _delta_write(table: pa.Table, base_path: Path) -> None: + import deltalake + deltalake.write_deltalake(str(base_path / "delta"), table) + + +def _delta_read(base_path: Path, converter: UniversalTypeConverter) -> pa.Table: + import deltalake + dt = deltalake.DeltaTable(str(base_path / "delta")) + raw = dt.to_pyarrow_table() + return converter.load_extension_types(raw) + + +_BACKENDS = [ + _StorageBackend(name="parquet", write=_parquet_write, read=_parquet_read), + _StorageBackend(name="delta", write=_delta_write, read=_delta_read), +] + + +@pytest.fixture(params=_BACKENDS, ids=lambda b: b.name) +def storage_backend(request: pytest.FixtureRequest) -> _StorageBackend: + """Yield one storage backend per parametrised run.""" + return request.param + + +# ── Internal helpers ────────────────────────────────────────────────────────── + + +def _fresh_converter() -> UniversalTypeConverter: + """Return a fresh converter from a new registry instance. + + Uses ``create_registry()`` instead of ``get_default_context()`` to avoid + cross-test contamination through the global singleton cache. + """ + return create_registry().get_context().type_converter + + +def _write_and_read( + schema_dict: dict, + rows: list[dict], + backend: _StorageBackend, + tmp_path: Path, +) -> tuple[pa.Table, UniversalTypeConverter]: + """Write rows with a fresh write converter and read back with a fresh read converter. + + Returns the resulting Arrow table (with extension types applied) and the + read-side converter (needed for ``arrow_table_to_python_dicts``). + """ + write_converter = _fresh_converter() + arrow_schema = write_converter.python_schema_to_arrow_schema(schema_dict) + table = write_converter.python_dicts_to_arrow_table(rows, arrow_schema=arrow_schema) + backend.write(table, tmp_path) + + read_converter = _fresh_converter() + result = backend.read(tmp_path, read_converter) + return result, read_converter + + +# ── Built-in type round-trip tests ─────────────────────────────────────────── + + +def test_builtin_path_round_trip(storage_backend: _StorageBackend, tmp_path: Path) -> None: + """pathlib.Path round-trips through storage with extension name ``orcapod.path``. + + Built-in types (Path, UPath, UUID) are pre-registered in the default context + so the read-side converter already knows about them. The test verifies that: + + 1. The Arrow field carries the ``orcapod.path`` extension type after read. + 2. The Python value is reconstructed as a ``pathlib.Path`` instance. + """ + p = pathlib.Path("/tmp/orcapod/integration/test.txt") + result, read_converter = _write_and_read( + {"col": pathlib.Path}, + [{"col": p}], + storage_backend, + tmp_path, + ) + + field = result.schema.field("col") + assert hasattr(field.type, "extension_name"), ( + f"Expected extension type on field 'col', got plain type {field.type!r}" + ) + assert field.type.extension_name == "orcapod.path" + + rows = read_converter.arrow_table_to_python_dicts(result) + assert len(rows) == 1 + assert isinstance(rows[0]["col"], pathlib.Path) + assert rows[0]["col"] == p + + +def test_builtin_upath_round_trip(storage_backend: _StorageBackend, tmp_path: Path) -> None: + """UPath round-trips through storage with extension name ``orcapod.upath``.""" + u = UPath("s3://my-bucket/data/file.parquet") + result, read_converter = _write_and_read( + {"col": UPath}, + [{"col": u}], + storage_backend, + tmp_path, + ) + + field = result.schema.field("col") + assert hasattr(field.type, "extension_name"), ( + f"Expected extension type on field 'col', got plain type {field.type!r}" + ) + assert field.type.extension_name == "orcapod.upath" + + rows = read_converter.arrow_table_to_python_dicts(result) + assert len(rows) == 1 + assert isinstance(rows[0]["col"], UPath) + assert str(rows[0]["col"]) == str(u) + + +def test_builtin_uuid_round_trip(storage_backend: _StorageBackend, tmp_path: Path) -> None: + """uuid.UUID round-trips through storage with extension name ``orcapod.uuid``.""" + u = uuid_module.UUID("12345678-1234-5678-1234-567812345678") + result, read_converter = _write_and_read( + {"col": uuid_module.UUID}, + [{"col": u}], + storage_backend, + tmp_path, + ) + + field = result.schema.field("col") + assert hasattr(field.type, "extension_name"), ( + f"Expected extension type on field 'col', got plain type {field.type!r}" + ) + assert field.type.extension_name == "orcapod.uuid" + + rows = read_converter.arrow_table_to_python_dicts(result) + assert len(rows) == 1 + assert isinstance(rows[0]["col"], uuid_module.UUID) + assert rows[0]["col"] == u + + +# ── Dataclass round-trip tests ──────────────────────────────────────────────── + + +def test_simple_dataclass_round_trip(storage_backend: _StorageBackend, tmp_path: Path) -> None: + """Simple dataclass round-trips with correct FQCN as the Arrow extension name. + + The read-side converter starts with no knowledge of _PointA. After read, + register_discovered_extensions triggers DataclassLogicalTypeFactory which + imports _PointA from its fully-qualified class name and registers it. + """ + point = _PointA(x=3, y=7) + result, read_converter = _write_and_read( + {"point": _PointA}, + [{"point": point}], + storage_backend, + tmp_path, + ) + + fqcn = f"{_PointA.__module__}.{_PointA.__qualname__}" + field = result.schema.field("point") + assert hasattr(field.type, "extension_name"), ( + f"Expected extension type on field 'point', got {field.type!r}" + ) + assert field.type.extension_name == fqcn + + rows = read_converter.arrow_table_to_python_dicts(result) + assert len(rows) == 1 + reconstructed = rows[0]["point"] + assert isinstance(reconstructed, _PointA) + assert reconstructed.x == 3 + assert reconstructed.y == 7 + + +def test_two_dataclasses_same_shape_distinct_extension_names( + storage_backend: _StorageBackend, tmp_path: Path +) -> None: + """_PointA and _PointB have the same struct shape but different extension names. + + Writing _PointA and reading it back must NOT reconstruct a _PointB, even + though their on-disk struct shapes (x: int, y: int) are identical. The + extension name (FQCN) is the sole identity signal. + """ + point_a = _PointA(x=1, y=2) + result, read_converter = _write_and_read( + {"point": _PointA}, + [{"point": point_a}], + storage_backend, + tmp_path, + ) + + fqcn_a = f"{_PointA.__module__}.{_PointA.__qualname__}" + fqcn_b = f"{_PointB.__module__}.{_PointB.__qualname__}" + + field = result.schema.field("point") + assert hasattr(field.type, "extension_name") + assert field.type.extension_name == fqcn_a + assert field.type.extension_name != fqcn_b # distinct from _PointB + + rows = read_converter.arrow_table_to_python_dicts(result) + reconstructed = rows[0]["point"] + assert isinstance(reconstructed, _PointA) + assert not isinstance(reconstructed, _PointB) + + +def test_nested_dataclass_round_trip(storage_backend: _StorageBackend, tmp_path: Path) -> None: + """Nested dataclass: _Outer and _Inner both registered; full object reconstructed. + + register_discovered_extensions triggers DataclassLogicalTypeFactory for _Outer. + That factory's reconstruct_from_arrow calls converter.register_python_class(_Inner) + as a side-effect, so _Inner is also registered without an explicit peek step. + """ + outer = _Outer(inner=_Inner(value=42), label="hello") + result, read_converter = _write_and_read( + {"item": _Outer}, + [{"item": outer}], + storage_backend, + tmp_path, + ) + + fqcn_outer = f"{_Outer.__module__}.{_Outer.__qualname__}" + fqcn_inner = f"{_Inner.__module__}.{_Inner.__qualname__}" + + assert read_converter._logical_type_registry.get_by_arrow_extension_name(fqcn_outer) is not None, ( + "_Outer should be registered after read" + ) + assert read_converter._logical_type_registry.get_by_arrow_extension_name(fqcn_inner) is not None, ( + "_Inner should be registered transitively after read" + ) + + rows = read_converter.arrow_table_to_python_dicts(result) + assert len(rows) == 1 + reconstructed = rows[0]["item"] + assert isinstance(reconstructed, _Outer) + assert isinstance(reconstructed.inner, _Inner) + assert reconstructed.inner.value == 42 + assert reconstructed.label == "hello" +``` + +- [ ] **Step 2: Run the tests and verify they pass** + +```bash +uv run pytest tests/test_extension_types/test_roundtrips.py -v +``` + +Expected: all 12 parametrised tests pass (6 test functions × 2 backends). + +- [ ] **Step 3: Commit** + +```bash +git add tests/test_extension_types/test_roundtrips.py +git commit -m "test(extension-types): add Parquet/Delta round-trip integration tests (PLT-1659)" +``` + +--- + +## Task 5: Add the Delta Polars native-read test to `test_roundtrips.py` + +**Files:** +- Modify: `tests/test_extension_types/test_roundtrips.py` (append one function) + +This test reads a Delta table back via `pl.read_delta` (Polars' native Delta reader) rather than `DeltaTable.to_pyarrow_table()`, verifying that extension type metadata survives the Polars path. + +When the write-side converter calls `register_python_class(_PointA)`, it registers `_PointA` in both PyArrow's and Polars' **global** registries (as a side-effect of `registry.register_logical_type`). That global registration persists for the duration of the test process, so `pl.read_delta` can resolve `_PointA`'s extension type when reading the underlying Parquet files. + +- [ ] **Step 1: Append the Delta Polars test to `test_roundtrips.py`** + +Append the following block at the end of `tests/test_extension_types/test_roundtrips.py`: + +```python +# ── Delta Lake: Polars native read ─────────────────────────────────────────── + + +def test_delta_polars_read_delta(tmp_path: Path) -> None: + """Write a dataclass column to Delta; read back via pl.read_delta; extension type preserved. + + The write-side converter registers _PointA in both PyArrow's and Polars' + global registries. pl.read_delta can then decode the column as the correct + extension type. load_extension_types on the resulting Arrow table registers + _PointA in the fresh read-side converter and wraps the column. + """ + import deltalake + import polars as pl + + delta_path = str(tmp_path / "polars_delta") + + # Write — registers _PointA in PyArrow + Polars global registries. + write_converter = _fresh_converter() + write_converter.register_python_class(_PointA) + arrow_schema = write_converter.python_schema_to_arrow_schema({"point": _PointA}) + rows = [{"point": _PointA(x=5, y=9)}] + table = write_converter.python_dicts_to_arrow_table(rows, arrow_schema=arrow_schema) + deltalake.write_deltalake(delta_path, table) + + # Read via Polars native Delta reader. + # _PointA is already in the Polars global registry from the write step above. + df = pl.read_delta(delta_path) + + # Convert to Arrow and load extension types with a fresh (local-registry) converter. + read_converter = _fresh_converter() + loaded = read_converter.load_extension_types(df.to_arrow()) + + fqcn = f"{_PointA.__module__}.{_PointA.__qualname__}" + field = loaded.schema.field("point") + assert hasattr(field.type, "extension_name"), ( + f"Expected extension type on field 'point', got {field.type!r}" + ) + assert field.type.extension_name == fqcn + + rows_out = read_converter.arrow_table_to_python_dicts(loaded) + assert len(rows_out) == 1 + reconstructed = rows_out[0]["point"] + assert isinstance(reconstructed, _PointA) + assert reconstructed.x == 5 + assert reconstructed.y == 9 +``` + +- [ ] **Step 2: Run the new test to verify it passes** + +```bash +uv run pytest tests/test_extension_types/test_roundtrips.py::test_delta_polars_read_delta -v +``` + +Expected: 1 test passes. + +- [ ] **Step 3: Run the full roundtrips file to confirm no regressions** + +```bash +uv run pytest tests/test_extension_types/test_roundtrips.py -v +``` + +Expected: 13 tests pass (12 from Task 4 + 1 new). + +- [ ] **Step 4: Commit** + +```bash +git add tests/test_extension_types/test_roundtrips.py +git commit -m "test(extension-types): add Delta Polars native-read round-trip test (PLT-1659)" +``` + +--- + +## Task 6: Full test run and PR + +**Files:** none + +- [ ] **Step 1: Run the full extension-types test suite** + +```bash +uv run pytest tests/test_extension_types/ -v +``` + +Expected: all tests pass. The three new files contribute 17 tests: +- `test_schema_compatibility.py`: 4 tests +- `test_cache_behavior.py`: 2 tests +- `test_roundtrips.py`: 13 tests + +- [ ] **Step 2: Run the broader test suite to check for regressions** + +```bash +uv run pytest tests/ -x -q --ignore=tests/test_semantic_types +``` + +Expected: no new failures. (`test_semantic_types/` tests the old shape-based system and is excluded per the PLT-1659 spec.) + +- [ ] **Step 3: Push the branch** + +```bash +git push -u origin eywalker/plt-1659-integration-tests-end-to-end-semantic-type-round-trips +``` + +- [ ] **Step 4: Open the PR** + +```bash +gh pr create \ + --base extension-type-system \ + --title "test(extension-types): end-to-end round-trip integration tests (PLT-1659)" \ + --body "$(cat <<'EOF' +## Summary + +Adds three integration test files covering the full extension type round-trip pipeline: + +- **`test_roundtrips.py`** — write/read round-trips for built-in types (Path, UPath, UUID), simple dataclass, two same-shaped dataclasses with distinct extension names, nested dataclass, and Polars native Delta read. Parameterised over Parquet and Delta backends. +- **`test_schema_compatibility.py`** — Arrow-level extension name identity checks and Python-type-level `check_schema_compatibility` pass/reject tests. +- **`test_cache_behavior.py`** — verifies the per-process registry cache is populated on first read and that `reconstruct_from_arrow` is not called on subsequent reads of the same file. + +## Deferred (noted in corresponding issues) + +- `list[MyDataclass]` round-trip → PLT-1732 (requires `ListLogicalType`) +- Picklable type tests → PLT-1658 (handler not yet implemented) +- SQLite value round-trips → excluded because `SQLiteConnector` does not preserve `ARROW:extension:*` field metadata; `ExtensionAwareDatabase` wrapper already tested in `test_extension_aware_database.py` + +Closes PLT-1659 +EOF +)" +``` + +- [ ] **Step 5: Confirm the PR URL is printed and note it** + +The `gh pr create` command prints the PR URL. Record it for tracking. From 21f464e31c9fdf93f2b3855d7c78a6fafed62da8 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 01:30:38 +0000 Subject: [PATCH 166/206] fix(databases): raise ValueError when extension-typed columns passed to ConnectorArrowDatabase SQL connectors do not preserve ARROW:extension:* field metadata, so writing extension-typed columns via ConnectorArrowDatabase would silently drop the extension type on read, making round-trips impossible. Adds an explicit ValueError guard in add_records() that fires immediately when any non-record-id column carries a pa.ExtensionType, surfacing the problem at write time with a message pointing to PLT-1795. Also adds DESIGN_ISSUES.md entry CA1 documenting the root cause, the interim guard, and the planned full fix (PLT-1795): a companion metadata table that persists extension-name/metadata alongside the SQL schema. Co-Authored-By: Claude Sonnet 4.6 --- DESIGN_ISSUES.md | 29 +++++++++++++++++++ .../databases/connector_arrow_database.py | 22 ++++++++++++++ 2 files changed, 51 insertions(+) diff --git a/DESIGN_ISSUES.md b/DESIGN_ISSUES.md index ebc57b97..4caa4b4d 100644 --- a/DESIGN_ISSUES.md +++ b/DESIGN_ISSUES.md @@ -1086,6 +1086,35 @@ element type. See PLT-1732 for full design. --- +## `src/orcapod/databases/connector_arrow_database.py` + +### CA1 — SQL connectors silently lose Arrow extension-type field metadata on round-trip +**Status:** in progress +**Severity:** high +**Issue:** PLT-1795 + +`SQLiteConnector` (and any `DBConnectorProtocol` implementation that maps Arrow → SQL types) +does not preserve `ARROW:extension:name` / `ARROW:extension:metadata` field metadata. When a +column whose Arrow type is a `pa.ExtensionType` (e.g. `orcapod.path`, `orcapod.uuid`, or any +dataclass extension type) is written via `ConnectorArrowDatabase.add_records()` and then read +back, the column is returned as the raw storage type (e.g. `large_string`, `large_binary`, +`struct`) with no extension marker. This makes Parquet/Delta round-trips impossible through +the SQL backend and causes silent data-type loss. + +**Interim fix (PLT-1659):** `ConnectorArrowDatabase.add_records()` now raises `ValueError` +immediately when any non-record-id column carries an Arrow extension type (checked via +`isinstance(field.type, pa.ExtensionType)`), surfacing the issue at write time rather than +on a confusing read. + +**Full fix (PLT-1795, target v0.2):** Preserve extension-type metadata in the SQL schema via +a companion metadata table (one row per column: `table_name`, `column_name`, +`extension_name`, `extension_metadata`). On `create_table_if_not_exists`, write rows for any +extension-typed columns; on `iter_batches`, join the metadata table and reconstruct the +`pa.ExtensionType` for affected columns before returning the batch. Once implemented, the +`ValueError` guard in `add_records()` can be lifted. + +--- + ## `src/orcapod/semantic_types/universal_converter.py` ### UC1 — `python_type_to_arrow_type` raised on `typing.Any` from empty-container inference diff --git a/src/orcapod/databases/connector_arrow_database.py b/src/orcapod/databases/connector_arrow_database.py index ab6928ed..e6b1a0cd 100644 --- a/src/orcapod/databases/connector_arrow_database.py +++ b/src/orcapod/databases/connector_arrow_database.py @@ -244,6 +244,28 @@ def add_records( f"got {rid_type}. Encode the column to bytes before calling add_records()." ) + # Reject Arrow extension-typed columns: SQL connectors do not preserve + # ARROW:extension:* field metadata, so extension types would be silently + # dropped on read, making round-trips impossible. Use DeltaTableDatabase + # or write directly to Parquet instead. See PLT-1795 for the planned fix. + ext_fields = [ + field.name + for field in records.schema + if isinstance(field.type, pa.ExtensionType) + ] + if ext_fields: + ext_info = ", ".join( + f"{records.schema.field(n).name!r}: {records.schema.field(n).type.extension_name!r}" + for n in ext_fields + ) + raise ValueError( + f"ConnectorArrowDatabase does not support Arrow extension-typed columns " + f"({ext_info}). SQL connectors do not preserve ARROW:extension:* field " + f"metadata, so extension types would be silently dropped on read. " + f"Use DeltaTableDatabase or write directly to Parquet instead. " + f"See PLT-1795 for the planned fix." + ) + records = self._deduplicate_within_table(records) record_key = self._get_record_key(record_path) input_ids = set(cast(list[bytes], records[self.RECORD_ID_COLUMN].to_pylist())) From 6da9c220d33e591dda58113b627fb75bc13d147b Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 01:30:44 +0000 Subject: [PATCH 167/206] test(extension-types): add schema compatibility integration tests (PLT-1659) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Covers two complementary angles: Arrow-level identity: register_python_class assigns each dataclass a unique extension name derived from its FQCN, so two same-shaped dataclasses produce different extension names. Also verifies idempotency (register twice → same name). Python-type-level compatibility: check_schema_compatibility correctly passes when types match and rejects when two same-shaped-but-different-named dataclasses are compared — the core guarantee that prevents silent data corruption. Co-Authored-By: Claude Sonnet 4.6 --- .../test_schema_compatibility.py | 106 ++++++++++++++++++ 1 file changed, 106 insertions(+) create mode 100644 tests/test_extension_types/test_schema_compatibility.py diff --git a/tests/test_extension_types/test_schema_compatibility.py b/tests/test_extension_types/test_schema_compatibility.py new file mode 100644 index 00000000..f15d190d --- /dev/null +++ b/tests/test_extension_types/test_schema_compatibility.py @@ -0,0 +1,106 @@ +"""Integration tests for extension-type-backed schema compatibility. + +Two complementary angles: + +Arrow-level identity + ``converter.python_schema_to_arrow_schema`` assigns each dataclass a unique + Arrow extension name derived from its fully-qualified class name. Two + dataclasses with identical struct shapes but different class names therefore + produce *different* extension names — the core identity guarantee of the + extension type system. + +Python-type-level compatibility + ``check_schema_compatibility`` from ``schema_utils`` uses beartype + ``is_subhint`` to compare Python type annotations. Same class → compatible; + different class with the same struct shape → incompatible. This is the + property that prevents silent data corruption when two unrelated dataclasses + happen to share the same fields. +""" +from __future__ import annotations + +import dataclasses + +import pyarrow as pa + +from orcapod.contexts import create_registry +from orcapod.types import Schema +from orcapod.utils.schema_utils import check_schema_compatibility + + +# Module-level dataclasses — DataclassLogicalTypeFactory rejects local classes +# because they have no stable fully-qualified class name for reconstruction. + +@dataclasses.dataclass +class _PointA: + x: int + y: int + + +@dataclasses.dataclass +class _PointB: + """Same struct shape as _PointA but a different class name.""" + x: int + y: int + + +# ── Arrow-level identity tests ──────────────────────────────────────────────── + + +def test_arrow_schema_distinct_extension_names_for_same_shape(): + """_PointA and _PointB produce different Arrow extension names despite identical shapes. + + This is the core identity guarantee: struct shape alone does not determine + type identity in the extension type system. + """ + converter_a = create_registry().get_context().type_converter + converter_b = create_registry().get_context().type_converter + + type_a = converter_a.register_python_class(_PointA) + type_b = converter_b.register_python_class(_PointB) + + assert isinstance(type_a, pa.ExtensionType) + assert isinstance(type_b, pa.ExtensionType) + + fqcn_a = f"{_PointA.__module__}.{_PointA.__qualname__}" + fqcn_b = f"{_PointB.__module__}.{_PointB.__qualname__}" + assert type_a.extension_name == fqcn_a + assert type_b.extension_name == fqcn_b + assert type_a.extension_name != type_b.extension_name + + +def test_arrow_schema_same_extension_name_idempotent(): + """Registering _PointA twice returns the same extension name both times.""" + converter = create_registry().get_context().type_converter + + type_first = converter.register_python_class(_PointA) + type_second = converter.register_python_class(_PointA) + + assert isinstance(type_first, pa.ExtensionType) + assert isinstance(type_second, pa.ExtensionType) + assert type_first.extension_name == type_second.extension_name + + +# ── Python-type-level compatibility tests ───────────────────────────────────── + + +def test_python_schema_compatibility_passes_same_type(): + """Incoming _PointA is compatible with receiving _PointA.""" + result = check_schema_compatibility( + {"value": _PointA}, + Schema({"value": _PointA}), + ) + assert result is True + + +def test_python_schema_compatibility_rejects_different_type_same_shape(): + """Incoming _PointA is NOT compatible with receiving _PointB. + + Both dataclasses share the same struct shape {x: int, y: int}, but they + are different Python types. The old shape-based system would have accepted + this silently; the extension type system correctly rejects it. + """ + result = check_schema_compatibility( + {"value": _PointA}, + Schema({"value": _PointB}), + ) + assert result is False From 0e3254d090a5cffd6b40b2ba808e698cddcbabb4 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 01:30:53 +0000 Subject: [PATCH 168/206] test(extension-types): add per-process cache behaviour integration tests (PLT-1659) Verifies two cache properties of LogicalTypeRegistry: - After load_extension_types on a Parquet file, the type is present in the fresh converter's registry (cache populated on first read). - reconstruct_from_arrow is called exactly once for the first read and zero additional times on the second read of the same file (registry hit short-circuits factory dispatch). Uses patch.object with autospec=True to correctly handle self binding when spying on an instance method. Co-Authored-By: Claude Sonnet 4.6 --- .../test_cache_behavior.py | 114 ++++++++++++++++++ 1 file changed, 114 insertions(+) create mode 100644 tests/test_extension_types/test_cache_behavior.py diff --git a/tests/test_extension_types/test_cache_behavior.py b/tests/test_extension_types/test_cache_behavior.py new file mode 100644 index 00000000..efbb77e2 --- /dev/null +++ b/tests/test_extension_types/test_cache_behavior.py @@ -0,0 +1,114 @@ +"""Integration tests for per-process extension type cache behaviour. + +The ``LogicalTypeRegistry`` stores registered types in an in-memory dict keyed +by Arrow extension name. ``register_discovered_extensions`` skips the factory +call (``reconstruct_from_arrow``) when the extension name is already present in +the registry — this is the "cache hit" path. + +Two tests: + +1. ``test_cache_populated_after_first_read`` — verifies the type is absent from + a fresh converter's registry before reading a Parquet file, and present after. + +2. ``test_factory_not_called_on_second_read`` — verifies that ``reconstruct_from_arrow`` + is called exactly once (first read) and zero additional times on the second + read of the same file. +""" +from __future__ import annotations + +import dataclasses +from unittest.mock import patch + +import pyarrow.parquet as pq + +from orcapod.contexts import create_registry +from orcapod.extension_types.dataclass_logical_type_factory import DataclassLogicalTypeFactory + + +# Module-level dataclass — local classes cannot be reconstructed from FQCN. + +@dataclasses.dataclass +class _CachePoint: + x: int + y: int + + +# ── Helpers ─────────────────────────────────────────────────────────────────── + + +def _fresh_converter(): + """Return a fresh UniversalTypeConverter from a new registry instance. + + Uses ``create_registry()`` instead of ``get_default_context()`` to avoid + cross-test contamination through the global singleton cache. + """ + return create_registry().get_context().type_converter + + +def _write_parquet(tmp_path, converter) -> str: + """Write a _CachePoint column to Parquet and return the file path as str.""" + converter.register_python_class(_CachePoint) + arrow_schema = converter.python_schema_to_arrow_schema({"point": _CachePoint}) + rows = [{"point": _CachePoint(x=1, y=2)}] + table = converter.python_dicts_to_arrow_table(rows, arrow_schema=arrow_schema) + parquet_path = tmp_path / "cache_test.parquet" + pq.write_table(table, str(parquet_path)) + return str(parquet_path) + + +# ── Tests ───────────────────────────────────────────────────────────────────── + + +def test_cache_populated_after_first_read(tmp_path): + """Registry has _CachePoint after load_extension_types on a fresh converter. + + Before reading: the fresh converter's registry does not know about _CachePoint. + After reading: register_discovered_extensions triggers reconstruct_from_arrow + which registers _CachePoint, populating the cache. + """ + write_converter = _fresh_converter() + parquet_path = _write_parquet(tmp_path, write_converter) + + read_converter = _fresh_converter() + fqcn = f"{_CachePoint.__module__}.{_CachePoint.__qualname__}" + + # Before read: not registered + assert read_converter._logical_type_registry.get_by_arrow_extension_name(fqcn) is None + + read_converter.load_extension_types(pq.read_table(parquet_path)) + + # After read: registered (cache populated) + assert read_converter._logical_type_registry.get_by_arrow_extension_name(fqcn) is not None + + +def test_factory_not_called_on_second_read(tmp_path): + """reconstruct_from_arrow called once on first read, zero times on second read. + + On first read, register_discovered_extensions finds _CachePoint's extension + name in the schema, dispatches to the factory (call count = 1), and stores + the result in the registry. + + On second read, register_discovered_extensions finds the extension name already + in the registry and short-circuits — the factory is not called again + (call count remains 1). + """ + write_converter = _fresh_converter() + parquet_path = _write_parquet(tmp_path, write_converter) + + read_converter = _fresh_converter() + + with patch.object( + DataclassLogicalTypeFactory, + "reconstruct_from_arrow", + autospec=True, + wraps=DataclassLogicalTypeFactory.reconstruct_from_arrow, + ) as spy: + # First read: factory is called once + read_converter.load_extension_types(pq.read_table(parquet_path)) + assert spy.call_count == 1, f"Expected 1 factory call, got {spy.call_count}" + + # Second read on the same file: registry hit — factory not called again + read_converter.load_extension_types(pq.read_table(parquet_path)) + assert spy.call_count == 1, ( + f"Expected still 1 factory call after second read, got {spy.call_count}" + ) From 2fc8c02103f2e70f4b2febb26510b993650acf7b Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 01:31:05 +0000 Subject: [PATCH 169/206] test(extension-types): add Parquet/Delta end-to-end round-trip integration tests (PLT-1659) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Adds 13 tests covering the full pipeline: Python object → write → storage → peek-schema → register → read → Python object Parametrised over Parquet and Delta backends (12 tests): - Built-in types: Path/orcapod.path, UPath/orcapod.upath, UUID/orcapod.uuid - Simple dataclass (_PointA): FQCN as extension name, Python object reconstructed - Two same-shaped dataclasses (_PointA vs _PointB): distinct extension names - Nested dataclass (_Outer/_Inner): both types registered transitively after read Delta Polars native-read test (1 test): - Write _PointA to Delta, read via pl.read_delta, assert Polars dtype is an extension type with the correct FQCN. Python object reconstruction via df.to_arrow() is intentionally not tested here — Polars strips __arrow_ext_metadata__ on export, making that path non-functional. The separate parametrised Delta tests cover full Python reconstruction. SQLite excluded: ConnectorArrowDatabase now raises ValueError on extension types (see companion fix in this branch). Delta read uses dt.file_uris() + pyarrow.dataset rather than DeltaTable.to_pyarrow_table(), which normalises large_string → string and breaks the storage-type-strict extension type deserializer. Co-Authored-By: Claude Sonnet 4.6 --- tests/test_extension_types/test_roundtrips.py | 377 ++++++++++++++++++ 1 file changed, 377 insertions(+) create mode 100644 tests/test_extension_types/test_roundtrips.py diff --git a/tests/test_extension_types/test_roundtrips.py b/tests/test_extension_types/test_roundtrips.py new file mode 100644 index 00000000..a36c3c87 --- /dev/null +++ b/tests/test_extension_types/test_roundtrips.py @@ -0,0 +1,377 @@ +"""End-to-end integration tests for extension type round-trips. + +Tests the complete pipeline: + + Python object → write → storage → peek-schema → register → read → Python object + +Each round-trip test is parameterised over two storage backends: + +- ``parquet``: direct ``pyarrow.parquet`` write/read. +- ``delta``: ``deltalake.write_deltalake`` / ``DeltaTable.to_pyarrow_table()``. + +SQLite (``ConnectorArrowDatabase`` + ``SQLiteConnector``) is excluded because +``SQLiteConnector`` maps Arrow types to SQL column types and discards +``ARROW:extension:*`` field metadata. Without that metadata, the +peek-register-read pattern cannot auto-register extension types on the read +path. The ``ExtensionAwareDatabase`` wrapper behaviour over SQLite is already +tested in ``tests/test_databases/test_extension_aware_database.py``. +""" +from __future__ import annotations + +import dataclasses +import pathlib +import uuid as uuid_module +from pathlib import Path +from typing import Callable + +import pyarrow as pa +import pyarrow.parquet as pq +import pytest +from upath import UPath + +from orcapod.contexts import create_registry +from orcapod.semantic_types.universal_converter import UniversalTypeConverter + + +# ── Module-level dataclasses ────────────────────────────────────────────────── +# DataclassLogicalTypeFactory rejects local (in-function) classes because they +# have no stable fully-qualified class name for reconstruction from Arrow schema. + +@dataclasses.dataclass +class _PointA: + x: int + y: int + + +@dataclasses.dataclass +class _PointB: + """Same struct shape as _PointA, different class name.""" + x: int + y: int + + +@dataclasses.dataclass +class _Inner: + value: int + + +@dataclasses.dataclass +class _Outer: + inner: _Inner + label: str + + +# ── Storage backend abstraction ─────────────────────────────────────────────── + + +@dataclasses.dataclass +class _StorageBackend: + """Encapsulates backend-specific write and read logic for parameterised tests. + + Args: + name: Short identifier used in pytest test IDs (e.g. ``"parquet"``). + write: Callable that writes an Arrow table to a directory. + read: Callable that reads from that directory and returns an Arrow table + with extension types registered and applied. Must return only the + original user data columns (no ``__record_id`` or similar). + """ + name: str + write: Callable[[pa.Table, Path], None] + read: Callable[[Path, UniversalTypeConverter], pa.Table] + + +def _parquet_write(table: pa.Table, base_path: Path) -> None: + pq.write_table(table, str(base_path / "data.parquet")) + + +def _parquet_read(base_path: Path, converter: UniversalTypeConverter) -> pa.Table: + return converter.load_extension_types(pq.read_table(str(base_path / "data.parquet"))) + + +def _delta_write(table: pa.Table, base_path: Path) -> None: + import deltalake + deltalake.write_deltalake(str(base_path / "delta"), table) + + +def _delta_read(base_path: Path, converter: UniversalTypeConverter) -> pa.Table: + import deltalake + import pyarrow.dataset as pa_ds + dt = deltalake.DeltaTable(str(base_path / "delta")) + # Read via PyArrow dataset directly rather than dt.to_pyarrow_table(). + # to_pyarrow_table() normalises large_string → string and large_binary → + # binary via Delta Lake's schema layer, which causes the extension type + # deserializer to reject the storage type mismatch. Reading the underlying + # Parquet files directly preserves the original Arrow types. + raw = pa_ds.dataset(dt.file_uris(), format="parquet").to_table() + return converter.load_extension_types(raw) + + +_BACKENDS = [ + _StorageBackend(name="parquet", write=_parquet_write, read=_parquet_read), + _StorageBackend(name="delta", write=_delta_write, read=_delta_read), +] + + +@pytest.fixture(params=_BACKENDS, ids=lambda b: b.name) +def storage_backend(request: pytest.FixtureRequest) -> _StorageBackend: + """Yield one storage backend per parametrised run.""" + return request.param + + +# ── Internal helpers ────────────────────────────────────────────────────────── + + +def _fresh_converter() -> UniversalTypeConverter: + """Return a fresh converter from a new registry instance. + + Uses ``create_registry()`` instead of ``get_default_context()`` to avoid + cross-test contamination through the global singleton cache. + """ + return create_registry().get_context().type_converter + + +def _write_and_read( + schema_dict: dict, + rows: list[dict], + backend: _StorageBackend, + tmp_path: Path, +) -> tuple[pa.Table, UniversalTypeConverter]: + """Write rows with a fresh write converter and read back with a fresh read converter. + + Returns the resulting Arrow table (with extension types applied) and the + read-side converter (needed for ``arrow_table_to_python_dicts``). + """ + write_converter = _fresh_converter() + # Pre-register each type so the converter can map it to an Arrow extension + # type before python_schema_to_arrow_schema inspects it. Built-in types + # (Path, UPath, UUID) are already registered in the context; dataclass types + # are auto-discovered on the first register_python_class call. + for python_type in schema_dict.values(): + write_converter.register_python_class(python_type) + arrow_schema = write_converter.python_schema_to_arrow_schema(schema_dict) + table = write_converter.python_dicts_to_arrow_table(rows, arrow_schema=arrow_schema) + backend.write(table, tmp_path) + + read_converter = _fresh_converter() + result = backend.read(tmp_path, read_converter) + return result, read_converter + + +# ── Built-in type round-trip tests ─────────────────────────────────────────── + + +def test_builtin_path_round_trip(storage_backend: _StorageBackend, tmp_path: Path) -> None: + """pathlib.Path round-trips through storage with extension name ``orcapod.path``. + + Built-in types (Path, UPath, UUID) are pre-registered in the default context + so the read-side converter already knows about them. The test verifies that: + + 1. The Arrow field carries the ``orcapod.path`` extension type after read. + 2. The Python value is reconstructed as a ``pathlib.Path`` instance. + """ + p = pathlib.Path("/tmp/orcapod/integration/test.txt") + result, read_converter = _write_and_read( + {"col": pathlib.Path}, + [{"col": p}], + storage_backend, + tmp_path, + ) + + field = result.schema.field("col") + assert hasattr(field.type, "extension_name"), ( + f"Expected extension type on field 'col', got plain type {field.type!r}" + ) + assert field.type.extension_name == "orcapod.path" + + rows = read_converter.arrow_table_to_python_dicts(result) + assert len(rows) == 1 + assert isinstance(rows[0]["col"], pathlib.Path) + assert rows[0]["col"] == p + + +def test_builtin_upath_round_trip(storage_backend: _StorageBackend, tmp_path: Path) -> None: + """UPath round-trips through storage with extension name ``orcapod.upath``.""" + u = UPath("s3://my-bucket/data/file.parquet") + result, read_converter = _write_and_read( + {"col": UPath}, + [{"col": u}], + storage_backend, + tmp_path, + ) + + field = result.schema.field("col") + assert hasattr(field.type, "extension_name"), ( + f"Expected extension type on field 'col', got plain type {field.type!r}" + ) + assert field.type.extension_name == "orcapod.upath" + + rows = read_converter.arrow_table_to_python_dicts(result) + assert len(rows) == 1 + assert isinstance(rows[0]["col"], UPath) + assert str(rows[0]["col"]) == str(u) + + +def test_builtin_uuid_round_trip(storage_backend: _StorageBackend, tmp_path: Path) -> None: + """uuid.UUID round-trips through storage with extension name ``orcapod.uuid``.""" + u = uuid_module.UUID("12345678-1234-5678-1234-567812345678") + result, read_converter = _write_and_read( + {"col": uuid_module.UUID}, + [{"col": u}], + storage_backend, + tmp_path, + ) + + field = result.schema.field("col") + assert hasattr(field.type, "extension_name"), ( + f"Expected extension type on field 'col', got plain type {field.type!r}" + ) + assert field.type.extension_name == "orcapod.uuid" + + rows = read_converter.arrow_table_to_python_dicts(result) + assert len(rows) == 1 + assert isinstance(rows[0]["col"], uuid_module.UUID) + assert rows[0]["col"] == u + + +# ── Dataclass round-trip tests ──────────────────────────────────────────────── + + +def test_simple_dataclass_round_trip(storage_backend: _StorageBackend, tmp_path: Path) -> None: + """Simple dataclass round-trips with correct FQCN as the Arrow extension name. + + The read-side converter starts with no knowledge of _PointA. After read, + register_discovered_extensions triggers DataclassLogicalTypeFactory which + imports _PointA from its fully-qualified class name and registers it. + """ + point = _PointA(x=3, y=7) + result, read_converter = _write_and_read( + {"point": _PointA}, + [{"point": point}], + storage_backend, + tmp_path, + ) + + fqcn = f"{_PointA.__module__}.{_PointA.__qualname__}" + field = result.schema.field("point") + assert hasattr(field.type, "extension_name"), ( + f"Expected extension type on field 'point', got {field.type!r}" + ) + assert field.type.extension_name == fqcn + + rows = read_converter.arrow_table_to_python_dicts(result) + assert len(rows) == 1 + reconstructed = rows[0]["point"] + assert isinstance(reconstructed, _PointA) + assert reconstructed.x == 3 + assert reconstructed.y == 7 + + +def test_two_dataclasses_same_shape_distinct_extension_names( + storage_backend: _StorageBackend, tmp_path: Path +) -> None: + """_PointA and _PointB have the same struct shape but different extension names. + + Writing _PointA and reading it back must NOT reconstruct a _PointB, even + though their on-disk struct shapes (x: int, y: int) are identical. The + extension name (FQCN) is the sole identity signal. + """ + point_a = _PointA(x=1, y=2) + result, read_converter = _write_and_read( + {"point": _PointA}, + [{"point": point_a}], + storage_backend, + tmp_path, + ) + + fqcn_a = f"{_PointA.__module__}.{_PointA.__qualname__}" + fqcn_b = f"{_PointB.__module__}.{_PointB.__qualname__}" + + field = result.schema.field("point") + assert hasattr(field.type, "extension_name") + assert field.type.extension_name == fqcn_a + assert field.type.extension_name != fqcn_b # distinct from _PointB + + rows = read_converter.arrow_table_to_python_dicts(result) + reconstructed = rows[0]["point"] + assert isinstance(reconstructed, _PointA) + assert not isinstance(reconstructed, _PointB) + + +def test_nested_dataclass_round_trip(storage_backend: _StorageBackend, tmp_path: Path) -> None: + """Nested dataclass: _Outer and _Inner both registered; full object reconstructed. + + register_discovered_extensions triggers DataclassLogicalTypeFactory for _Outer. + That factory's reconstruct_from_arrow calls converter.register_python_class(_Inner) + as a side-effect, so _Inner is also registered without an explicit peek step. + """ + outer = _Outer(inner=_Inner(value=42), label="hello") + result, read_converter = _write_and_read( + {"item": _Outer}, + [{"item": outer}], + storage_backend, + tmp_path, + ) + + fqcn_outer = f"{_Outer.__module__}.{_Outer.__qualname__}" + fqcn_inner = f"{_Inner.__module__}.{_Inner.__qualname__}" + + assert read_converter._logical_type_registry.get_by_arrow_extension_name(fqcn_outer) is not None, ( + "_Outer should be registered after read" + ) + assert read_converter._logical_type_registry.get_by_arrow_extension_name(fqcn_inner) is not None, ( + "_Inner should be registered transitively after read" + ) + + rows = read_converter.arrow_table_to_python_dicts(result) + assert len(rows) == 1 + reconstructed = rows[0]["item"] + assert isinstance(reconstructed, _Outer) + assert isinstance(reconstructed.inner, _Inner) + assert reconstructed.inner.value == 42 + assert reconstructed.label == "hello" + + +# ── Delta Lake: Polars native read ─────────────────────────────────────────── + + +def test_delta_polars_read_delta(tmp_path: Path) -> None: + """Write a dataclass column to Delta; read back via pl.read_delta; extension type survives. + + The write-side converter registers _PointA in both PyArrow's and Polars' + global registries (``register_python_class`` calls ``make_polars_extension_type`` + which registers with Polars). ``pl.read_delta`` can therefore decode the column + as the correct Polars extension type, not a plain ``Struct``. + + Note: ``pl.DataFrame.to_arrow()`` exports Polars extension types as PyArrow + extension arrays but with empty serialized bytes (Polars does not forward + ``__arrow_ext_metadata__`` through its Arrow export). Python-object + reconstruction via the Polars-to-Arrow path is therefore not possible; that + path is tested by the separate ``parquet`` / ``delta`` parametrised tests + which read underlying Parquet files directly. + """ + import deltalake + import polars as pl + + delta_path = str(tmp_path / "polars_delta") + fqcn = f"{_PointA.__module__}.{_PointA.__qualname__}" + + # Write — registers _PointA in PyArrow + Polars global registries. + write_converter = _fresh_converter() + write_converter.register_python_class(_PointA) + arrow_schema = write_converter.python_schema_to_arrow_schema({"point": _PointA}) + rows = [{"point": _PointA(x=5, y=9)}] + table = write_converter.python_dicts_to_arrow_table(rows, arrow_schema=arrow_schema) + deltalake.write_deltalake(delta_path, table) + + # Read via Polars native Delta reader. + # _PointA is already in the Polars global registry from the write step above. + df = pl.read_delta(delta_path) + + # Assert the column carries the correct Polars extension type — not a plain Struct. + col_dtype = df.dtypes[0] + assert col_dtype.is_extension(), ( + f"Expected a Polars extension type on column 'point', got {col_dtype!r}" + ) + assert col_dtype.ext_name() == fqcn, ( + f"Expected extension name {fqcn!r}, got {col_dtype.ext_name()!r}" + ) From 1034e3861400b89330f066d26a870da821ebdd59 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 01:38:24 +0000 Subject: [PATCH 170/206] refactor(test-roundtrips): use as_large_types=True in _delta_read instead of file_uris workaround MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit DeltaTable.to_pyarrow_dataset(as_large_types=True) preserves large_string / large_binary rather than normalising to string / binary — the same approach used by DeltaTableDatabase._read_delta_table(). Replaces the previous workaround of reading underlying Parquet files directly via dt.file_uris() + pyarrow.dataset, which was correct but unnecessarily bypassed Delta's API. Co-Authored-By: Claude Sonnet 4.6 --- tests/test_extension_types/test_roundtrips.py | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/tests/test_extension_types/test_roundtrips.py b/tests/test_extension_types/test_roundtrips.py index a36c3c87..399092b8 100644 --- a/tests/test_extension_types/test_roundtrips.py +++ b/tests/test_extension_types/test_roundtrips.py @@ -95,14 +95,13 @@ def _delta_write(table: pa.Table, base_path: Path) -> None: def _delta_read(base_path: Path, converter: UniversalTypeConverter) -> pa.Table: import deltalake - import pyarrow.dataset as pa_ds dt = deltalake.DeltaTable(str(base_path / "delta")) - # Read via PyArrow dataset directly rather than dt.to_pyarrow_table(). - # to_pyarrow_table() normalises large_string → string and large_binary → - # binary via Delta Lake's schema layer, which causes the extension type - # deserializer to reject the storage type mismatch. Reading the underlying - # Parquet files directly preserves the original Arrow types. - raw = pa_ds.dataset(dt.file_uris(), format="parquet").to_table() + # as_large_types=True preserves large_string / large_binary rather than + # normalising them to string / binary (Delta Lake's default behaviour). + # Without this flag, extension types that use large_string or large_binary + # as storage fail to deserialise because the _deserialize method strictly + # checks that the storage type matches the registered one. + raw = dt.to_pyarrow_dataset(as_large_types=True).to_table() return converter.load_extension_types(raw) From cb871f0c4ed9b4dcdb8e39d71ffb8e0b7aa1dc35 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 02:49:33 +0000 Subject: [PATCH 171/206] fix(databases): extend extension-type guard to cover metadata-only columns; add tests Address Copilot review comments on PR #181: - Broaden ConnectorArrowDatabase.add_records() guard to reject both in-memory pa.ExtensionType columns AND metadata-only extension columns (plain storage type with b"ARROW:extension:name" in field metadata, the representation produced when reading Parquet with an unregistered type). Previously only the isinstance(pa.ExtensionType) case was caught. - Add TestExtensionTypeWriteGuard in test_connector_arrow_database.py with three focused tests: rejects in-memory extension type, rejects metadata-only extension column, accepts plain columns without raising. - Fix test_roundtrips.py module docstring: Delta backend uses to_pyarrow_dataset(as_large_types=True).to_table(), not to_pyarrow_table(). - Update DESIGN_ISSUES.md CA1 to describe both rejection cases. - Update plan and spec files to reflect actual scope: plan File Map now lists the connector_arrow_database.py and DESIGN_ISSUES.md changes; Architecture section no longer claims "pure test-only"; spec Backend Parameterisation section corrected to two backends (Parquet + Delta, no SQLite) with the accurate Delta read API. Co-Authored-By: Claude Sonnet 4.6 --- DESIGN_ISSUES.md | 9 +- .../databases/connector_arrow_database.py | 24 ++-- ...ension-type-roundtrip-integration-tests.md | 6 +- ...type-roundtrip-integration-tests-design.md | 19 ++-- .../test_connector_arrow_database.py | 105 ++++++++++++++++++ tests/test_extension_types/test_roundtrips.py | 2 +- 6 files changed, 142 insertions(+), 23 deletions(-) diff --git a/DESIGN_ISSUES.md b/DESIGN_ISSUES.md index 4caa4b4d..35a6fb0b 100644 --- a/DESIGN_ISSUES.md +++ b/DESIGN_ISSUES.md @@ -1102,9 +1102,12 @@ back, the column is returned as the raw storage type (e.g. `large_string`, `larg the SQL backend and causes silent data-type loss. **Interim fix (PLT-1659):** `ConnectorArrowDatabase.add_records()` now raises `ValueError` -immediately when any non-record-id column carries an Arrow extension type (checked via -`isinstance(field.type, pa.ExtensionType)`), surfacing the issue at write time rather than -on a confusing read. +immediately when any non-record-id column is extension-typed, surfacing the issue at write +time rather than on a confusing read. Two representations are rejected: +- In-memory extension types: `isinstance(field.type, pa.ExtensionType)`. +- Metadata-only columns: plain storage type whose field metadata contains + `b"ARROW:extension:name"` (the representation produced when reading a Parquet/IPC file + with an unregistered extension type). **Full fix (PLT-1795, target v0.2):** Preserve extension-type metadata in the SQL schema via a companion metadata table (one row per column: `table_name`, `column_name`, diff --git a/src/orcapod/databases/connector_arrow_database.py b/src/orcapod/databases/connector_arrow_database.py index e6b1a0cd..6e289c5a 100644 --- a/src/orcapod/databases/connector_arrow_database.py +++ b/src/orcapod/databases/connector_arrow_database.py @@ -248,16 +248,22 @@ def add_records( # ARROW:extension:* field metadata, so extension types would be silently # dropped on read, making round-trips impossible. Use DeltaTableDatabase # or write directly to Parquet instead. See PLT-1795 for the planned fix. - ext_fields = [ - field.name - for field in records.schema - if isinstance(field.type, pa.ExtensionType) - ] + # + # Two representations are checked: + # 1. In-memory extension types: isinstance(field.type, pa.ExtensionType). + # 2. Metadata-only extension columns: a plain Arrow type whose field metadata + # contains the b"ARROW:extension:name" key. This arises when reading a + # Parquet/IPC file with an unregistered extension type — the array is + # decoded as its storage type but the metadata is preserved on the field. + _EXT_NAME_KEY = b"ARROW:extension:name" + ext_fields: list[tuple[str, str]] = [] + for field in records.schema: + if isinstance(field.type, pa.ExtensionType): + ext_fields.append((field.name, field.type.extension_name)) + elif field.metadata and _EXT_NAME_KEY in field.metadata: + ext_fields.append((field.name, field.metadata[_EXT_NAME_KEY].decode("utf-8", errors="replace"))) if ext_fields: - ext_info = ", ".join( - f"{records.schema.field(n).name!r}: {records.schema.field(n).type.extension_name!r}" - for n in ext_fields - ) + ext_info = ", ".join(f"{name!r}: {ext_name!r}" for name, ext_name in ext_fields) raise ValueError( f"ConnectorArrowDatabase does not support Arrow extension-typed columns " f"({ext_info}). SQL connectors do not preserve ARROW:extension:* field " diff --git a/superpowers/plans/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests.md b/superpowers/plans/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests.md index bab898df..33992fb5 100644 --- a/superpowers/plans/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests.md +++ b/superpowers/plans/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests.md @@ -4,7 +4,7 @@ **Goal:** Add three new integration test files covering end-to-end extension type round-trips through Parquet, Delta Lake, schema compatibility, and per-process cache behaviour. -**Architecture:** Pure test-only change — no source files modified. Three focused test files: `test_roundtrips.py` (write/read through Parquet and Delta backends), `test_schema_compatibility.py` (Arrow-level identity + Python-type-level compatibility), `test_cache_behavior.py` (registry cache populated and skipped on second read). SQLite backend is excluded from value round-trip tests because `SQLiteConnector` does not preserve `ARROW:extension:*` field metadata; that pattern is already covered by `test_extension_aware_database.py`. +**Architecture:** Three focused test files plus one source change and one docs update. Test files: `test_roundtrips.py` (write/read through Parquet and Delta backends), `test_schema_compatibility.py` (Arrow-level identity + Python-type-level compatibility), `test_cache_behavior.py` (registry cache populated and skipped on second read). SQLite backend is excluded from value round-trip tests because `SQLiteConnector` does not preserve `ARROW:extension:*` field metadata; that pattern is already covered by `test_extension_aware_database.py`. Source change: `ConnectorArrowDatabase.add_records()` gets a `ValueError` guard that rejects extension-typed columns (both in-memory `pa.ExtensionType` and metadata-only fields) as an interim safety measure while PLT-1795 is pending. **Tech Stack:** pytest, pyarrow, pyarrow.parquet, deltalake, polars, orcapod extension type APIs (`create_registry`, `UniversalTypeConverter`, `DataclassLogicalTypeFactory`), `unittest.mock.patch.object`. @@ -17,8 +17,8 @@ | Create | `tests/test_extension_types/test_schema_compatibility.py` | | Create | `tests/test_extension_types/test_cache_behavior.py` | | Create | `tests/test_extension_types/test_roundtrips.py` | - -No source files are modified. +| Modify | `src/orcapod/databases/connector_arrow_database.py` — add `ValueError` guard in `add_records()` | +| Modify | `DESIGN_ISSUES.md` — add CA1 entry documenting SQL metadata loss and interim guard | --- diff --git a/superpowers/specs/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests-design.md b/superpowers/specs/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests-design.md index 1296d71c..d21238b3 100644 --- a/superpowers/specs/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests-design.md +++ b/superpowers/specs/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests-design.md @@ -25,7 +25,8 @@ schema walker, database hooks, built-in logical types, protocols) are not duplic ### Built-in types: `Path`, `UPath`, `UUID` -Round-trip through all three storage backends. Assertions: +Round-trip through two storage backends (Parquet and Delta — SQLite excluded, see +`test_roundtrips.py` note). Assertions: - Python object is faithfully reconstructed after read. - Arrow extension names are in the `orcapod.*` namespace (`orcapod.path`, `orcapod.upath`, `orcapod.uuid`). @@ -88,8 +89,10 @@ tests/test_extension_types/ ## Backend Parameterisation -`test_roundtrips.py` parameterises over three storage backends via a `_StorageBackend` -dataclass with two callables: +`test_roundtrips.py` parameterises over **two** storage backends via a `_StorageBackend` +dataclass with two callables. SQLite (`ConnectorArrowDatabase` + `SQLiteConnector`) is +excluded because `SQLiteConnector` discards `ARROW:extension:*` field metadata during type +mapping — see `DESIGN_ISSUES.md` CA1 and PLT-1795. ```python @dataclasses.dataclass @@ -102,11 +105,13 @@ class _StorageBackend: | `name` | `write` | `read` | |---|---|---| | `"parquet"` | `pq.write_table(table, path / "data.parquet")` | `converter.load_extension_types(pq.read_table(path / "data.parquet"))` | -| `"delta"` | `deltalake.write_deltalake(str(path / "delta"), table)` | `converter.load_extension_types(DeltaTable(str(path / "delta")).to_pyarrow_table())` | -| `"sqlite"` | `ConnectorArrowDatabase(SQLiteConnector(path / "db.sqlite")).add_record(...).flush()` | `ExtensionAwareDatabase(db, converter).get_all_records(...)` → drop `__record_id` column | +| `"delta"` | `deltalake.write_deltalake(str(path / "delta"), table)` | `converter.load_extension_types(DeltaTable(str(path / "delta")).to_pyarrow_dataset(as_large_types=True).to_table())` | -The `read` callable always returns a `pa.Table` containing only the original user data columns -(metadata columns like `__record_id` stripped for database backends). +`as_large_types=True` is required for the Delta backend: without it, Delta Lake normalises +`large_string` → `string` and `large_binary` → `binary`, which causes the extension type +deserializer to reject the storage type mismatch. + +The `read` callable always returns a `pa.Table` containing only the original user data columns. A `@pytest.fixture(params=[...])` named `storage_backend` yields one `_StorageBackend` per run. diff --git a/tests/test_databases/test_connector_arrow_database.py b/tests/test_databases/test_connector_arrow_database.py index d87701b3..71125ef2 100644 --- a/tests/test_databases/test_connector_arrow_database.py +++ b/tests/test_databases/test_connector_arrow_database.py @@ -18,6 +18,7 @@ 11. Flush behaviour (pending cleared, connector receives data) 12. Config (to_config shape, from_config raises NotImplementedError) 13. at() method and base_path attribute +14. Extension-type write guard """ from __future__ import annotations @@ -783,3 +784,107 @@ def test_at_rejects_null_in_component(self, db): def test_at_rejects_empty_component(self, db): with pytest.raises(ValueError): db.at("") + + +# --------------------------------------------------------------------------- +# 14. Extension-type write guard +# --------------------------------------------------------------------------- + + +class TestExtensionTypeWriteGuard: + """add_records() rejects extension-typed columns. + + SQL connectors do not preserve ``ARROW:extension:*`` field metadata. + Writing extension-typed columns would cause silent type loss on read. + The guard fires at write time so the problem is surfaced immediately + rather than discovered when reading back corrupted data. + + Two representations are tested: + - In-memory ``pa.ExtensionType`` (the type is registered in this process). + - Metadata-only columns (plain storage type + ``ARROW:extension:name`` + field metadata, as produced when reading Parquet from a process that + had the type registered). + """ + + @pytest.fixture + def db(self): + return ConnectorArrowDatabase(MockDBConnector()) + + def test_rejects_in_memory_extension_type_column(self, db): + """add_records raises ValueError when a column carries a pa.ExtensionType.""" + import pyarrow as pa + + # Build a minimal custom extension type for testing. + class _DummyExt(pa.ExtensionType): + def __init__(self): + super().__init__(pa.large_string(), "test.dummy") + + def __arrow_ext_serialize__(self): + return b"" + + @classmethod + def __arrow_ext_deserialize__(cls, storage_type, serialized): + return cls() + + pa.register_extension_type(_DummyExt()) + try: + ext_array = pa.array(["hello"], type=_DummyExt()) + rid_array = pa.array([b"id1"], type=pa.large_binary()) + table = pa.table( + {"__record_id": rid_array, "payload": ext_array}, + ) + with pytest.raises(ValueError, match="extension"): + db.add_records( + ("results",), + table, + record_id_column="__record_id", + ) + finally: + pa.unregister_extension_type("test.dummy") + + def test_rejects_metadata_only_extension_column(self, db): + """add_records raises ValueError when a column has ARROW:extension:name field metadata. + + This is the "unregistered read" representation: the column type is a plain + storage type (e.g. large_string) but the field metadata contains the + ``b"ARROW:extension:name"`` key, as happens when reading a Parquet file that + was written with an extension type that is not registered in the current process. + """ + import pyarrow as pa + + ext_field = pa.field( + "payload", + pa.large_string(), + metadata={ + b"ARROW:extension:name": b"orcapod.path", + b"ARROW:extension:metadata": b"", + }, + ) + rid_field = pa.field("__record_id", pa.large_binary()) + schema = pa.schema([rid_field, ext_field]) + table = pa.table( + { + "__record_id": pa.array([b"id1"], type=pa.large_binary()), + "payload": pa.array(["/tmp/test"], type=pa.large_string()), + }, + schema=schema, + ) + with pytest.raises(ValueError, match="extension"): + db.add_records( + ("results",), + table, + record_id_column="__record_id", + ) + + def test_plain_column_not_rejected(self, db): + """add_records accepts tables with no extension-typed columns.""" + import pyarrow as pa + + table = pa.table( + { + "__record_id": pa.array([b"id1"], type=pa.large_binary()), + "value": pa.array([42], type=pa.int64()), + } + ) + # Should not raise + db.add_records(("results",), table, record_id_column="__record_id") diff --git a/tests/test_extension_types/test_roundtrips.py b/tests/test_extension_types/test_roundtrips.py index 399092b8..afac59dc 100644 --- a/tests/test_extension_types/test_roundtrips.py +++ b/tests/test_extension_types/test_roundtrips.py @@ -7,7 +7,7 @@ Each round-trip test is parameterised over two storage backends: - ``parquet``: direct ``pyarrow.parquet`` write/read. -- ``delta``: ``deltalake.write_deltalake`` / ``DeltaTable.to_pyarrow_table()``. +- ``delta``: ``deltalake.write_deltalake`` / ``DeltaTable.to_pyarrow_dataset(as_large_types=True).to_table()``. SQLite (``ConnectorArrowDatabase`` + ``SQLiteConnector``) is excluded because ``SQLiteConnector`` maps Arrow types to SQL column types and discards From 160b6eb64c73396e045951ebf3b8634ae1719fcd Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 07:04:40 +0000 Subject: [PATCH 172/206] docs(plt-1659): address round 2 review comments on plan and docs MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - spec: "all three" → "both" backends in Test Descriptions heading - plan: add autospec=True to patch.object snippet in Task 3 - plan: update _delta_read snippet to use to_pyarrow_dataset(as_large_types=True).to_table() in both the module docstring and the function body (Task 4) - plan: rewrite test_delta_polars_read_delta snippet to reflect actual implementation (Polars dtype check via col_dtype.is_extension() / ext_name() instead of load_extension_types(df.to_arrow()) round-trip, Task 5) - DESIGN_ISSUES.md CA1: "non-record-id column" → "any column" (guard checks all fields) - DESIGN_ISSUES.md CA1: "Parquet/Delta round-trips impossible" → "SQL connector round-trips impossible" Co-Authored-By: Claude Sonnet 4.6 --- DESIGN_ISSUES.md | 5 +- ...ension-type-roundtrip-integration-tests.md | 46 ++++++++++--------- ...type-roundtrip-integration-tests-design.md | 2 +- 3 files changed, 27 insertions(+), 26 deletions(-) diff --git a/DESIGN_ISSUES.md b/DESIGN_ISSUES.md index 35a6fb0b..8c8572c9 100644 --- a/DESIGN_ISSUES.md +++ b/DESIGN_ISSUES.md @@ -1098,11 +1098,10 @@ does not preserve `ARROW:extension:name` / `ARROW:extension:metadata` field meta column whose Arrow type is a `pa.ExtensionType` (e.g. `orcapod.path`, `orcapod.uuid`, or any dataclass extension type) is written via `ConnectorArrowDatabase.add_records()` and then read back, the column is returned as the raw storage type (e.g. `large_string`, `large_binary`, -`struct`) with no extension marker. This makes Parquet/Delta round-trips impossible through -the SQL backend and causes silent data-type loss. +`struct`) with no extension marker. This makes SQL connector round-trips impossible and causes silent data-type loss. **Interim fix (PLT-1659):** `ConnectorArrowDatabase.add_records()` now raises `ValueError` -immediately when any non-record-id column is extension-typed, surfacing the issue at write +immediately when any column is extension-typed, surfacing the issue at write time rather than on a confusing read. Two representations are rejected: - In-memory extension types: `isinstance(field.type, pa.ExtensionType)`. - Metadata-only columns: plain storage type whose field metadata contains diff --git a/superpowers/plans/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests.md b/superpowers/plans/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests.md index 33992fb5..0028fb2c 100644 --- a/superpowers/plans/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests.md +++ b/superpowers/plans/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests.md @@ -297,6 +297,7 @@ def test_factory_not_called_on_second_read(tmp_path): with patch.object( DataclassLogicalTypeFactory, "reconstruct_from_arrow", + autospec=True, wraps=DataclassLogicalTypeFactory.reconstruct_from_arrow, ) as spy: # First read: factory is called once @@ -350,7 +351,7 @@ Tests the complete pipeline: Each round-trip test is parameterised over two storage backends: - ``parquet``: direct ``pyarrow.parquet`` write/read. -- ``delta``: ``deltalake.write_deltalake`` / ``DeltaTable.to_pyarrow_table()``. +- ``delta``: ``deltalake.write_deltalake`` / ``DeltaTable.to_pyarrow_dataset(as_large_types=True).to_table()``. SQLite (``ConnectorArrowDatabase`` + ``SQLiteConnector``) is excluded because ``SQLiteConnector`` maps Arrow types to SQL column types and discards @@ -439,7 +440,9 @@ def _delta_write(table: pa.Table, base_path: Path) -> None: def _delta_read(base_path: Path, converter: UniversalTypeConverter) -> pa.Table: import deltalake dt = deltalake.DeltaTable(str(base_path / "delta")) - raw = dt.to_pyarrow_table() + # as_large_types=True preserves large_string / large_binary rather than + # normalising them to string / binary (Delta Lake's default behaviour). + raw = dt.to_pyarrow_dataset(as_large_types=True).to_table() return converter.load_extension_types(raw) @@ -697,17 +700,25 @@ Append the following block at the end of `tests/test_extension_types/test_roundt def test_delta_polars_read_delta(tmp_path: Path) -> None: - """Write a dataclass column to Delta; read back via pl.read_delta; extension type preserved. + """Write a dataclass column to Delta; read back via pl.read_delta; extension type survives. The write-side converter registers _PointA in both PyArrow's and Polars' - global registries. pl.read_delta can then decode the column as the correct - extension type. load_extension_types on the resulting Arrow table registers - _PointA in the fresh read-side converter and wraps the column. + global registries (``register_python_class`` calls ``make_polars_extension_type`` + which registers with Polars). ``pl.read_delta`` can therefore decode the column + as the correct Polars extension type, not a plain ``Struct``. + + Note: ``pl.DataFrame.to_arrow()`` exports Polars extension types as PyArrow + extension arrays but with empty serialized bytes (Polars does not forward + ``__arrow_ext_metadata__`` through its Arrow export). Python-object + reconstruction via the Polars-to-Arrow path is therefore not possible; that + path is tested by the separate ``parquet`` / ``delta`` parametrised tests + which read underlying Parquet files directly. """ import deltalake import polars as pl delta_path = str(tmp_path / "polars_delta") + fqcn = f"{_PointA.__module__}.{_PointA.__qualname__}" # Write — registers _PointA in PyArrow + Polars global registries. write_converter = _fresh_converter() @@ -721,23 +732,14 @@ def test_delta_polars_read_delta(tmp_path: Path) -> None: # _PointA is already in the Polars global registry from the write step above. df = pl.read_delta(delta_path) - # Convert to Arrow and load extension types with a fresh (local-registry) converter. - read_converter = _fresh_converter() - loaded = read_converter.load_extension_types(df.to_arrow()) - - fqcn = f"{_PointA.__module__}.{_PointA.__qualname__}" - field = loaded.schema.field("point") - assert hasattr(field.type, "extension_name"), ( - f"Expected extension type on field 'point', got {field.type!r}" + # Assert the column carries the correct Polars extension type — not a plain Struct. + col_dtype = df.dtypes[0] + assert col_dtype.is_extension(), ( + f"Expected a Polars extension type on column 'point', got {col_dtype!r}" + ) + assert col_dtype.ext_name() == fqcn, ( + f"Expected extension name {fqcn!r}, got {col_dtype.ext_name()!r}" ) - assert field.type.extension_name == fqcn - - rows_out = read_converter.arrow_table_to_python_dicts(loaded) - assert len(rows_out) == 1 - reconstructed = rows_out[0]["point"] - assert isinstance(reconstructed, _PointA) - assert reconstructed.x == 5 - assert reconstructed.y == 9 ``` - [ ] **Step 2: Run the new test to verify it passes** diff --git a/superpowers/specs/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests-design.md b/superpowers/specs/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests-design.md index d21238b3..d44a3ff9 100644 --- a/superpowers/specs/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests-design.md +++ b/superpowers/specs/2026-06-23-plt-1659-extension-type-roundtrip-integration-tests-design.md @@ -154,7 +154,7 @@ Each test creates its own converter via `create_registry().get_context().type_co ### `test_roundtrips.py` -#### Parameterised over all three backends +#### Parameterised over both backends **`test_builtin_path_round_trip[backend]`** Write a `Path` column, read back, assert `pathlib.Path` values are reconstructed and the Arrow From 3b7b9039f658c4d27345459c5f27159019c6913c Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 10:46:00 +0000 Subject: [PATCH 173/206] docs(plt-1660): add design spec for hard cut to extension type hashing Covers: visitor visit_extension dispatch, SemanticHashingVisitor rewrite, StarfixArrowHasher constructor update, renames (BaseSemanticHasher -> SemanticAwarePythonHasher, TypeHandlerRegistry -> PythonTypeHandlerRegistry), v0.1.json / context_schema.json changes, and deletion plan for old SemanticTypeRegistry / SemanticStructConverter files. Co-Authored-By: Claude Sonnet 4.6 --- ...lt-1660-hard-cut-extension-type-hashing.md | 412 ++++++++++++++++++ 1 file changed, 412 insertions(+) create mode 100644 superpowers/specs/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md diff --git a/superpowers/specs/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md b/superpowers/specs/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md new file mode 100644 index 00000000..726839ad --- /dev/null +++ b/superpowers/specs/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md @@ -0,0 +1,412 @@ +# PLT-1660: Hard cut — delete old semantic type system and wire in extension type system + +**Date:** 2026-06-24 +**Issue:** PLT-1660 +**Branch:** `eywalker/plt-1660-hard-cut-delete-old-semantic-type-system-and-wire-in` +**Target:** `extension-type-system` + +--- + +## Overview + +The codebase currently has two parallel "semantic type" systems: + +1. **Old system** (shape-based identity): `SemanticTypeRegistry` / `SemanticStructConverterProtocol` — identifies extension + types by matching Arrow struct field signatures. Lives in `src/orcapod/semantic_types/`. +2. **New system** (extension type identity): `LogicalTypeRegistry` / `LogicalTypeProtocol` — identifies types by + `ARROW:extension:name` metadata embedded in the Arrow field. Lives in `src/orcapod/extension_types/`. + +The `UniversalTypeConverter` already uses only the new system. This issue performs a "hard cut": delete the old +system entirely and wire the new system into the remaining production call sites — primarily the Arrow hashing visitors. + +--- + +## Scope + +### In scope +- Rewrite `SemanticHashingVisitor` in `visitors.py` to dispatch on extension types instead of struct signatures +- Update `StarfixArrowHasher` (and `SemanticArrowHasher`) to accept `type_converter + semantic_hasher` instead of `semantic_registry` +- Rename `BaseSemanticHasher` → `SemanticAwarePythonHasher` +- Rename `TypeHandlerRegistry` → `PythonTypeHandlerRegistry`, `BuiltinTypeHandlerRegistry` → `BuiltinPythonTypeHandlerRegistry` +- Update `v0.1.json` to remove the `semantic_registry` component and update all cross-refs +- Update `context_schema.json` to match +- Delete `semantic_struct_converters.py`, `semantic_registry.py`, the `SemanticStructConverterProtocol` class, and the old semantic type test directory +- Update all imports and references across the codebase + +### Out of scope +- PLT-1798 (making `extension_name == logical_type_name` invariant explicit in code) +- Any changes to `UniversalTypeConverter` — already fully migrated + +--- + +## Design + +### 1. Extension-type dispatch in `ArrowTypeDataVisitor` + +**File:** `src/orcapod/hashing/visitors.py` + +Add `visit_extension` as a non-abstract method on the base class. Update `visit()` to check +`isinstance(arrow_type, pa.ExtensionType)` **before** the struct check, since extension types with +struct storage are otherwise swallowed by `visit_struct`. + +```python +def visit_extension( + self, extension_type: "pa.ExtensionType", storage_value: Any +) -> tuple["pa.DataType", Any]: + """Handle an Arrow extension type. + + Default implementation: passthrough (preserves extension name and storage value + unchanged so that the underlying StarfixArrowHasher / ArrowDigester sees the full + extension metadata when it receives the pre-processed table). + + Subclasses may override to convert recognised extension types to a hashed + binary value (pa.large_binary()). + """ + return extension_type, storage_value + +def visit(self, arrow_type: "pa.DataType", data: Any) -> tuple["pa.DataType", Any]: + # Extension types must be checked FIRST; a Path column has storage type + # large_string, and its field type is an ExtensionType wrapping that storage. + # If we checked is_struct first, extension types with struct storage would be + # incorrectly routed to visit_struct. + if isinstance(arrow_type, pa.ExtensionType): + new_type, new_data = self.visit_extension(arrow_type, data) + # Re-visit the result if visit_extension transformed it into a non-extension type. + # This allows future composability (e.g. a "list of extension type" handler that + # returns a pa.large_list(pa.large_binary()) from visit_extension) and avoids + # infinite recursion since we only re-enter when the type changed AND is no + # longer an extension type. + if new_type is not arrow_type and not isinstance(new_type, pa.ExtensionType): + return self.visit(new_type, new_data) + return new_type, new_data + if pa.types.is_struct(arrow_type): + return self.visit_struct(arrow_type, data) + elif pa.types.is_list(arrow_type) or pa.types.is_large_list(arrow_type): + return self.visit_list(arrow_type, data) + elif pa.types.is_fixed_size_list(arrow_type): + return self.visit_list(arrow_type, data) + elif pa.types.is_map(arrow_type): + return self.visit_map(arrow_type, data) + else: + return self.visit_primitive(arrow_type, data) +``` + +### 2. `SemanticHashingVisitor` rewrite + +**File:** `src/orcapod/hashing/visitors.py` + +The constructor changes from `(semantic_registry: SemanticTypeRegistry)` to +`(type_converter: UniversalTypeConverter, python_hasher: SemanticAwarePythonHasher)`. + +The core logic moves from `visit_struct` into `visit_extension`: + +```python +class SemanticHashingVisitor(ArrowTypeDataVisitor): + """Visitor that replaces extension-typed columns with their content hashes. + + For each Arrow column whose type is a ``pa.ExtensionType``: + 1. Look up the corresponding Python type via ``type_converter``. + 2. If the Python type has a handler registered in ``python_hasher``, convert + the storage value to a Python object and hash it, replacing the column + with a ``pa.large_binary()`` value of the form:: + + extension_name_bytes + b":" + content_hash.to_prefixed_digest() + + where ``content_hash.to_prefixed_digest()`` = ``method_bytes + b":" + digest``. + 3. If no handler is registered (or if ``type_converter`` does not know the + extension type), return the extension type and storage value unchanged. + The downstream ``StarfixArrowHasher`` / ``ArrowDigester`` will see the + full extension metadata intact and include it in the cross-language hash. + """ + + def __init__( + self, + type_converter: "UniversalTypeConverter", + python_hasher: "SemanticAwarePythonHasher", + ) -> None: + self._type_converter = type_converter + self._python_hasher = python_hasher + self._current_field_path: list[str] = [] + + def visit_extension( + self, extension_type: "pa.ExtensionType", storage_value: Any + ) -> tuple["pa.DataType", Any]: + if storage_value is None: + return extension_type, None + + # Resolve extension type → Python type. + python_type = self._type_converter.arrow_type_to_python_type(extension_type) + + # If the converter couldn't resolve to a concrete class, passthrough. + if python_type is Any or not isinstance(python_type, type): + return extension_type, storage_value + + # Only hash if the python hasher has a handler for this type. + if not self._python_hasher.type_handler_registry.has_handler(python_type): + return extension_type, storage_value + + # Convert storage value → Python object and hash it. + python_obj = self._type_converter.storage_to_python(storage_value, python_type) + content_hash = self._python_hasher.hash_object(python_obj) + + # Encode as binary: "::" + # extension_name identifies the logical type; the content_hash.to_prefixed_digest() + # encodes the method name + raw digest bytes (compatible with pa.large_binary() + # columns elsewhere in the codebase that use h.to_prefixed_digest()). + hash_bytes = ( + extension_type.extension_name.encode("ascii") + + b":" + + content_hash.to_prefixed_digest() + ) + return pa.large_binary(), hash_bytes + + def visit_struct(self, struct_type, data): + """Regular struct (no extension identity) — recurse into fields.""" + if data is None: + return struct_type, None + return self._visit_struct_fields(struct_type, data) + + def visit_list(self, list_type, data): + if data is None: + return list_type, None + self._current_field_path.append("[*]") + try: + return self._visit_list_elements(list_type, data) + finally: + self._current_field_path.pop() + + def visit_map(self, map_type, data): + return map_type, data + + def visit_primitive(self, primitive_type, data): + return primitive_type, data +``` + +**Passthrough invariant:** when `visit_extension` returns the original `(extension_type, storage_value)`, +the column's field type remains a `pa.ExtensionType`. `schema_cleaner.clean_schema_for_hashing` retains +all `ARROW:extension:*` metadata, so `ArrowDigester.hash_table(..., include_metadata=True)` will see the +full extension identity. This ensures that extension types without a registered Python handler are still +hashed in a type-aware way by the underlying starfix algorithm. + +### 3. `StarfixArrowHasher` constructor update + +**File:** `src/orcapod/hashing/arrow_hashers.py` + +```python +# Before +def __init__(self, semantic_registry: SemanticTypeRegistry, hasher_id: str) -> None: + self.semantic_registry = semantic_registry + +# After +def __init__( + self, + type_converter: "UniversalTypeConverter", + semantic_hasher: "SemanticAwarePythonHasher", + hasher_id: str, +) -> None: + self._type_converter = type_converter + self._semantic_hasher = semantic_hasher +``` + +`_process_table_columns` creates `SemanticHashingVisitor(self._type_converter, self._semantic_hasher)` instead of +`SemanticHashingVisitor(self.semantic_registry)`. + +The short-circuit in `_process_table_columns` that skips non-struct/non-list columns should be updated: extension +types at the top level of a column CAN need processing, so the check should also pass through when +`isinstance(field.type, pa.ExtensionType)` is True (skip the short-circuit, so the visitor can dispatch +`visit_extension`). + +### 4. `SemanticArrowHasher` (legacy hasher) + +**File:** `src/orcapod/hashing/arrow_hashers.py` + +`SemanticArrowHasher` predates `StarfixArrowHasher` and is not referenced in `v0.1.json`. Apply the same +constructor change (`semantic_registry` → `type_converter + semantic_hasher`) for consistency, or delete it +entirely if no tests depend on it. Preference: **delete** as part of the hard cut. + +### 5. Renames + +| Old name | New name | File | +|----------|----------|------| +| `BaseSemanticHasher` | `SemanticAwarePythonHasher` | `src/orcapod/hashing/semantic_hashing/semantic_hasher.py` | +| `TypeHandlerRegistry` | `PythonTypeHandlerRegistry` | `src/orcapod/hashing/semantic_hashing/type_handler_registry.py` | +| `BuiltinTypeHandlerRegistry` | `BuiltinPythonTypeHandlerRegistry` | `src/orcapod/hashing/semantic_hashing/type_handler_registry.py` | + +All references across the codebase (imports, JSON specs, tests, docs) must be updated in the same PR. + +Per the project's no-backward-compatibility policy: no re-export aliases or deprecation wrappers. + +### 6. `v0.1.json` changes + +**File:** `src/orcapod/contexts/data/v0.1.json` + +- Remove the `semantic_registry` top-level component entirely. +- In `arrow_hasher._config`, replace: + ```json + "semantic_registry": {"_ref": "semantic_registry"} + ``` + with: + ```json + "type_converter": {"_ref": "type_converter"}, + "semantic_hasher": {"_ref": "semantic_hasher"} + ``` +- Rename the `type_handler_registry` component key → `python_type_handler_registry`. + Update the `semantic_hasher._config` ref accordingly: + ```json + "type_handler_registry": {"_ref": "python_type_handler_registry"} + ``` +- Update `arrow_hasher._class` from `StarfixArrowHasher` (already correct) and verify `semantic_hasher._class` is updated to `SemanticAwarePythonHasher`. +- Update `type_handler_registry` (inside `_config`) class references: + `TypeHandlerRegistry` → `PythonTypeHandlerRegistry` + +Full updated component list in file order: +``` +file_hasher (unchanged) +semantic_registry ← DELETE +arrow_hasher (updated refs: type_converter + semantic_hasher) +type_converter (unchanged) +function_info_extractor(unchanged) +python_type_handler_registry ← renamed from type_handler_registry +semantic_hasher (class → SemanticAwarePythonHasher, ref updated) +``` + +### 7. `context_schema.json` changes + +**File:** `src/orcapod/contexts/data/schemas/context_schema.json` + +- Remove the `semantic_registry` property from `properties`. +- Rename `type_handler_registry` property to `python_type_handler_registry`. + +### 8. `DataContext` core + +**File:** `src/orcapod/contexts/core.py` + +`DataContext` is a dataclass with `type_converter`, `arrow_hasher`, and `semantic_hasher` fields. +The `type_handler_registry` is not a field on `DataContext` — it is an implementation detail of the +`semantic_hasher`. No changes needed to `core.py` for this issue. + +### 9. `versioned_hashers.py` + +**File:** `src/orcapod/hashing/versioned_hashers.py` + +Update `get_versioned_semantic_arrow_hasher()` to use the new constructor signature: +```python +from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher +# ... +hasher = StarfixArrowHasher( + hasher_id=hasher_id, + type_converter=type_converter, # UniversalTypeConverter from DataContext + semantic_hasher=semantic_hasher, # SemanticAwarePythonHasher from DataContext +) +``` + +Since `versioned_hashers.py` currently constructs its own `SemanticTypeRegistry` inline, this module +needs to source `type_converter` and `semantic_hasher` from the active `DataContext` instead. If no context +is available at call time, wire it from the default context. + +--- + +## Files to delete + +| File | Reason | +|------|--------| +| `src/orcapod/semantic_types/semantic_struct_converters.py` | Old shape-based converters (PythonPathStructConverter, UUIDStructConverter, UPathStructConverter) | +| `src/orcapod/semantic_types/semantic_registry.py` | Old SemanticTypeRegistry | +| `SemanticStructConverterProtocol` class in `src/orcapod/protocols/semantic_types_protocols.py` | Protocol for old converters | +| `tests/test_semantic_types/` (all 9 files) | Tests for the old system | + +After deletion, verify `src/orcapod/semantic_types/__init__.py` no longer re-exports deleted names. + +--- + +## Files to update (beyond the core changes) + +These files import from the deleted / renamed modules and must be updated: + +- `src/orcapod/hashing/__init__.py` — re-exports `SemanticArrowHasher` (if deleted) and `TypeHandlerRegistry` (renamed) +- `src/orcapod/hashing/versioned_hashers.py` — inline `SemanticTypeRegistry` construction, renamed hasher class +- `src/orcapod/contexts/registry.py` — constructs contexts from JSON; will pick up new class names automatically via `parse_objectspec` as long as the JSON is updated +- `src/orcapod/__init__.py` — any top-level re-exports +- `tests/test_hashing/` — update imports and any `SemanticTypeRegistry` references + +Run `grep -r "SemanticTypeRegistry\|semantic_registry\|SemanticStructConverter\|BaseSemanticHasher\|TypeHandlerRegistry\|BuiltinTypeHandlerRegistry" src/ tests/` after implementation to catch any remaining references. + +--- + +## Binary encoding format + +Hash values produced by `visit_extension` are stored as `pa.large_binary()` with the layout: + +``` + ":" +``` + +where `content_hash.to_prefixed_digest()` = `method.encode("ascii") + b":" + digest_bytes`. + +Full example for a `pathlib.Path` column hashed with SHA-256: +``` +b"orcapod.path:semantic_v0.1:\xab\xcd\xef..." +``` + +This is consistent with the pattern already used in `function_node.py`: +```python +self.data_context.arrow_hasher.hash_table(tag_with_hash).to_prefixed_digest() +``` + +--- + +## Extension type short-circuit fix + +In `StarfixArrowHasher._process_table_columns`, the current short-circuit bypasses the visitor for +non-struct/non-list columns: + +```python +if not ( + pa.types.is_struct(field.type) + or pa.types.is_list(field.type) + or ... +): + new_columns.append(table.column(i)) # skipped — no visitor call + ... + continue +``` + +Extension type columns whose storage type is `pa.large_string()` (e.g. `orcapod.path`) would be +short-circuited here. The fix: also skip the short-circuit when the field type is an extension type: + +```python +if not ( + isinstance(field.type, pa.ExtensionType) # ← add this + or pa.types.is_struct(field.type) + or pa.types.is_list(field.type) + or pa.types.is_large_list(field.type) + or pa.types.is_fixed_size_list(field.type) + or pa.types.is_map(field.type) +): + ... + continue +``` + +--- + +## Test strategy + +1. Existing tests in `tests/test_hashing/` must all pass after the rename and wiring changes. +2. `tests/test_extension_types/` round-trip tests verify the conversion chain; these should continue to pass. +3. The deleted `tests/test_semantic_types/` tests are replaced implicitly by the extension type integration + tests — no new test file is required unless a specific gap is identified. +4. Run: `uv run pytest tests/test_hashing/ tests/test_extension_types/ tests/test_core/ -x` + +--- + +## Implementation order + +1. Rename `BaseSemanticHasher` → `SemanticAwarePythonHasher` and `TypeHandlerRegistry` → `PythonTypeHandlerRegistry` (update all references). +2. Add `visit_extension` to `ArrowTypeDataVisitor`; update `visit()` dispatch. +3. Rewrite `SemanticHashingVisitor` constructor and `visit_extension` implementation. +4. Update `StarfixArrowHasher` constructor; update `_process_table_columns` short-circuit. +5. Update `v0.1.json` and `context_schema.json`. +6. Update `versioned_hashers.py`. +7. Delete old semantic type files and their tests. +8. Run grep sweep for stale references; fix any found. +9. Run full test suite. From f643fecff0a6d0c410752b8cb84fd6b5dd96caa9 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 16:18:42 +0000 Subject: [PATCH 174/206] docs(plt-1660): update spec with protocol tightening and full renames Folds in: TypeHandlerProtocol.handle()->Any tightened to PythonTypeSemanticHasherProtocol.hash()->ContentHash; all builtin handlers renamed to *SemanticHasher and updated to return ContentHash directly; registry renamed to PythonTypeSemanticHasherRegistry with updated method names. Co-Authored-By: Claude Sonnet 4.6 --- ...lt-1660-hard-cut-extension-type-hashing.md | 489 ++++++++++++------ 1 file changed, 344 insertions(+), 145 deletions(-) diff --git a/superpowers/specs/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md b/superpowers/specs/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md index 726839ad..3bb0d215 100644 --- a/superpowers/specs/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md +++ b/superpowers/specs/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md @@ -11,13 +11,20 @@ The codebase currently has two parallel "semantic type" systems: -1. **Old system** (shape-based identity): `SemanticTypeRegistry` / `SemanticStructConverterProtocol` — identifies extension - types by matching Arrow struct field signatures. Lives in `src/orcapod/semantic_types/`. +1. **Old system** (shape-based identity): `SemanticTypeRegistry` / `SemanticStructConverterProtocol` — identifies + extension types by matching Arrow struct field signatures. Lives in `src/orcapod/semantic_types/`. 2. **New system** (extension type identity): `LogicalTypeRegistry` / `LogicalTypeProtocol` — identifies types by `ARROW:extension:name` metadata embedded in the Arrow field. Lives in `src/orcapod/extension_types/`. -The `UniversalTypeConverter` already uses only the new system. This issue performs a "hard cut": delete the old -system entirely and wire the new system into the remaining production call sites — primarily the Arrow hashing visitors. +`UniversalTypeConverter` already uses only the new system. This issue performs a "hard cut": delete the old +system entirely and wire the new system into the remaining production call sites — primarily the Arrow hashing +visitors. + +This issue also folds in a protocol tightening: `TypeHandlerProtocol.handle()` currently has a mixed return +type (`Any`) — some handlers return `ContentHash` directly (Path, ArrowTable), while others return intermediate +values (UUID returns `bytes`, BytesHandler returns `str`, etc.). Since all handlers receive the full hasher +reference and the only purpose of a handler is to produce a hash, the protocol is tightened so every handler +returns `ContentHash` directly. This makes the naming accurate and the interface uniform. --- @@ -25,12 +32,22 @@ system entirely and wire the new system into the remaining production call sites ### In scope - Rewrite `SemanticHashingVisitor` in `visitors.py` to dispatch on extension types instead of struct signatures -- Update `StarfixArrowHasher` (and `SemanticArrowHasher`) to accept `type_converter + semantic_hasher` instead of `semantic_registry` -- Rename `BaseSemanticHasher` → `SemanticAwarePythonHasher` -- Rename `TypeHandlerRegistry` → `PythonTypeHandlerRegistry`, `BuiltinTypeHandlerRegistry` → `BuiltinPythonTypeHandlerRegistry` -- Update `v0.1.json` to remove the `semantic_registry` component and update all cross-refs +- Update `StarfixArrowHasher` (and delete `SemanticArrowHasher`) to accept `type_converter + semantic_hasher` + instead of `semantic_registry` +- **Protocol tightening**: change `TypeHandlerProtocol.handle() -> Any` to + `PythonTypeSemanticHasherProtocol.hash() -> ContentHash`; update all builtin handlers accordingly +- **Renames** (full list in §Design §5): + - `BaseSemanticHasher` → `SemanticAwarePythonHasher` + - `TypeHandlerRegistry` → `PythonTypeSemanticHasherRegistry` + - `BuiltinTypeHandlerRegistry` → `BuiltinPythonTypeSemanticHasherRegistry` + - `TypeHandlerProtocol` → `PythonTypeSemanticHasherProtocol` + - All builtin handler classes renamed (e.g. `PathContentHandler` → `PathSemanticHasher`) + - `register_builtin_handlers` → `register_builtin_python_type_semantic_hashers` + - `get_default_type_handler_registry` → `get_default_python_type_semantic_hasher_registry` +- Update `v0.1.json` to remove `semantic_registry` component and update all class names / cross-refs - Update `context_schema.json` to match -- Delete `semantic_struct_converters.py`, `semantic_registry.py`, the `SemanticStructConverterProtocol` class, and the old semantic type test directory +- Delete `semantic_struct_converters.py`, `semantic_registry.py`, `SemanticStructConverterProtocol`, and + `tests/test_semantic_types/` - Update all imports and references across the codebase ### Out of scope @@ -46,8 +63,8 @@ system entirely and wire the new system into the remaining production call sites **File:** `src/orcapod/hashing/visitors.py` Add `visit_extension` as a non-abstract method on the base class. Update `visit()` to check -`isinstance(arrow_type, pa.ExtensionType)` **before** the struct check, since extension types with -struct storage are otherwise swallowed by `visit_struct`. +`isinstance(arrow_type, pa.ExtensionType)` **before** the struct check — otherwise extension types with +struct storage would be swallowed by `visit_struct`. ```python def visit_extension( @@ -55,27 +72,26 @@ def visit_extension( ) -> tuple["pa.DataType", Any]: """Handle an Arrow extension type. - Default implementation: passthrough (preserves extension name and storage value - unchanged so that the underlying StarfixArrowHasher / ArrowDigester sees the full - extension metadata when it receives the pre-processed table). + Default implementation: passthrough — preserves the extension type and its storage + value unchanged so that the downstream StarfixArrowHasher / ArrowDigester sees the + full extension metadata when it receives the pre-processed table. Subclasses may override to convert recognised extension types to a hashed - binary value (pa.large_binary()). + pa.large_binary() value. """ return extension_type, storage_value def visit(self, arrow_type: "pa.DataType", data: Any) -> tuple["pa.DataType", Any]: - # Extension types must be checked FIRST; a Path column has storage type + # Extension types must be checked FIRST. A Path column has storage type # large_string, and its field type is an ExtensionType wrapping that storage. - # If we checked is_struct first, extension types with struct storage would be - # incorrectly routed to visit_struct. + # Checking is_struct first would incorrectly route extension types with struct + # storage into visit_struct. if isinstance(arrow_type, pa.ExtensionType): new_type, new_data = self.visit_extension(arrow_type, data) - # Re-visit the result if visit_extension transformed it into a non-extension type. - # This allows future composability (e.g. a "list of extension type" handler that - # returns a pa.large_list(pa.large_binary()) from visit_extension) and avoids - # infinite recursion since we only re-enter when the type changed AND is no - # longer an extension type. + # Re-visit if visit_extension transformed to a non-extension type. + # This enables composability (e.g. a list-of-extension-type handler returning + # pa.large_list(pa.large_binary())) and avoids infinite recursion: we only + # re-enter when the type changed AND is no longer an extension type. if new_type is not arrow_type and not isinstance(new_type, pa.ExtensionType): return self.visit(new_type, new_data) return new_type, new_data @@ -95,10 +111,10 @@ def visit(self, arrow_type: "pa.DataType", data: Any) -> tuple["pa.DataType", An **File:** `src/orcapod/hashing/visitors.py` -The constructor changes from `(semantic_registry: SemanticTypeRegistry)` to +Constructor changes from `(semantic_registry: SemanticTypeRegistry)` to `(type_converter: UniversalTypeConverter, python_hasher: SemanticAwarePythonHasher)`. -The core logic moves from `visit_struct` into `visit_extension`: +Core logic moves from `visit_struct` into `visit_extension`: ```python class SemanticHashingVisitor(ArrowTypeDataVisitor): @@ -106,17 +122,17 @@ class SemanticHashingVisitor(ArrowTypeDataVisitor): For each Arrow column whose type is a ``pa.ExtensionType``: 1. Look up the corresponding Python type via ``type_converter``. - 2. If the Python type has a handler registered in ``python_hasher``, convert - the storage value to a Python object and hash it, replacing the column - with a ``pa.large_binary()`` value of the form:: + 2. If the Python type has a semantic hasher registered in ``python_hasher``, + convert the storage value to a Python object and hash it, replacing the + column with a ``pa.large_binary()`` value of the form:: extension_name_bytes + b":" + content_hash.to_prefixed_digest() where ``content_hash.to_prefixed_digest()`` = ``method_bytes + b":" + digest``. - 3. If no handler is registered (or if ``type_converter`` does not know the + 3. If no hasher is registered (or if ``type_converter`` does not know the extension type), return the extension type and storage value unchanged. The downstream ``StarfixArrowHasher`` / ``ArrowDigester`` will see the - full extension metadata intact and include it in the cross-language hash. + full extension metadata intact and hash it in a type-aware way. """ def __init__( @@ -141,8 +157,8 @@ class SemanticHashingVisitor(ArrowTypeDataVisitor): if python_type is Any or not isinstance(python_type, type): return extension_type, storage_value - # Only hash if the python hasher has a handler for this type. - if not self._python_hasher.type_handler_registry.has_handler(python_type): + # Only hash if the python hasher has a semantic hasher for this type. + if not self._python_hasher.type_semantic_hasher_registry.has_semantic_hasher(python_type): return extension_type, storage_value # Convert storage value → Python object and hash it. @@ -150,9 +166,6 @@ class SemanticHashingVisitor(ArrowTypeDataVisitor): content_hash = self._python_hasher.hash_object(python_obj) # Encode as binary: "::" - # extension_name identifies the logical type; the content_hash.to_prefixed_digest() - # encodes the method name + raw digest bytes (compatible with pa.large_binary() - # columns elsewhere in the codebase that use h.to_prefixed_digest()). hash_bytes = ( extension_type.extension_name.encode("ascii") + b":" @@ -184,9 +197,9 @@ class SemanticHashingVisitor(ArrowTypeDataVisitor): **Passthrough invariant:** when `visit_extension` returns the original `(extension_type, storage_value)`, the column's field type remains a `pa.ExtensionType`. `schema_cleaner.clean_schema_for_hashing` retains -all `ARROW:extension:*` metadata, so `ArrowDigester.hash_table(..., include_metadata=True)` will see the -full extension identity. This ensures that extension types without a registered Python handler are still -hashed in a type-aware way by the underlying starfix algorithm. +all `ARROW:extension:*` metadata, so `ArrowDigester.hash_table(..., include_metadata=True)` sees the full +extension identity. Extension types without a registered Python semantic hasher are still hashed in a +type-aware way by the underlying starfix algorithm. ### 3. `StarfixArrowHasher` constructor update @@ -195,7 +208,6 @@ hashed in a type-aware way by the underlying starfix algorithm. ```python # Before def __init__(self, semantic_registry: SemanticTypeRegistry, hasher_id: str) -> None: - self.semantic_registry = semantic_registry # After def __init__( @@ -206,37 +218,220 @@ def __init__( ) -> None: self._type_converter = type_converter self._semantic_hasher = semantic_hasher + self._hasher_id = hasher_id ``` -`_process_table_columns` creates `SemanticHashingVisitor(self._type_converter, self._semantic_hasher)` instead of -`SemanticHashingVisitor(self.semantic_registry)`. +`_process_table_columns` constructs `SemanticHashingVisitor(self._type_converter, self._semantic_hasher)` +instead of `SemanticHashingVisitor(self.semantic_registry)`. + +The short-circuit in `_process_table_columns` that skips non-struct/non-list columns must also allow +extension type columns through — otherwise Path columns (storage: `large_string`) would be silently skipped +before the visitor sees them: -The short-circuit in `_process_table_columns` that skips non-struct/non-list columns should be updated: extension -types at the top level of a column CAN need processing, so the check should also pass through when -`isinstance(field.type, pa.ExtensionType)` is True (skip the short-circuit, so the visitor can dispatch -`visit_extension`). +```python +if not ( + isinstance(field.type, pa.ExtensionType) # ← add this + or pa.types.is_struct(field.type) + or pa.types.is_list(field.type) + or pa.types.is_large_list(field.type) + or pa.types.is_fixed_size_list(field.type) + or pa.types.is_map(field.type) +): + new_columns.append(table.column(i)) + new_fields.append(field) + continue +``` ### 4. `SemanticArrowHasher` (legacy hasher) **File:** `src/orcapod/hashing/arrow_hashers.py` -`SemanticArrowHasher` predates `StarfixArrowHasher` and is not referenced in `v0.1.json`. Apply the same -constructor change (`semantic_registry` → `type_converter + semantic_hasher`) for consistency, or delete it -entirely if no tests depend on it. Preference: **delete** as part of the hard cut. +`SemanticArrowHasher` predates `StarfixArrowHasher` and is not referenced in `v0.1.json`. **Delete** it as +part of the hard cut. If any test depends on it directly, delete the test — these tests are superseded by the +extension type integration tests. ### 5. Renames +#### Classes and protocols + | Old name | New name | File | |----------|----------|------| -| `BaseSemanticHasher` | `SemanticAwarePythonHasher` | `src/orcapod/hashing/semantic_hashing/semantic_hasher.py` | -| `TypeHandlerRegistry` | `PythonTypeHandlerRegistry` | `src/orcapod/hashing/semantic_hashing/type_handler_registry.py` | -| `BuiltinTypeHandlerRegistry` | `BuiltinPythonTypeHandlerRegistry` | `src/orcapod/hashing/semantic_hashing/type_handler_registry.py` | +| `BaseSemanticHasher` | `SemanticAwarePythonHasher` | `semantic_hashing/semantic_hasher.py` | +| `TypeHandlerRegistry` | `PythonTypeSemanticHasherRegistry` | `semantic_hashing/type_handler_registry.py` | +| `BuiltinTypeHandlerRegistry` | `BuiltinPythonTypeSemanticHasherRegistry` | `semantic_hashing/type_handler_registry.py` | +| `TypeHandlerProtocol` | `PythonTypeSemanticHasherProtocol` | `protocols/hashing_protocols.py` | + +#### Builtin handler classes (in `semantic_hashing/builtin_handlers.py`) + +| Old name | New name | +|----------|----------| +| `PathContentHandler` | `PathSemanticHasher` | +| `UPathContentHandler` | `UPathSemanticHasher` | +| `UUIDHandler` | `UUIDSemanticHasher` | +| `BytesHandler` | `BytesSemanticHasher` | +| `FunctionHandler` | `FunctionSemanticHasher` | +| `TypeObjectHandler` | `TypeObjectSemanticHasher` | +| `SpecialFormHandler` | `SpecialFormSemanticHasher` | +| `GenericAliasHandler` | `GenericAliasSemanticHasher` | +| `UnionTypeHandler` | `UnionTypeSemanticHasher` | +| `ArrowTableHandler` | `ArrowTableSemanticHasher` | +| `SchemaHandler` | `SchemaSemanticHasher` | + +#### Functions and properties + +| Old name | New name | Location | +|----------|----------|----------| +| `register_builtin_handlers(registry)` | `register_builtin_python_type_semantic_hashers(registry)` | `builtin_handlers.py` | +| `get_default_type_handler_registry()` | `get_default_python_type_semantic_hasher_registry()` | `type_handler_registry.py` and `defaults.py` | +| `BaseSemanticHasher.type_handler_registry` property | `SemanticAwarePythonHasher.type_semantic_hasher_registry` | `semantic_hasher.py` | + +#### Registry methods + +| Old name | New name | +|----------|----------| +| `get_handler(obj)` | `get_semantic_hasher(obj)` | +| `get_handler_for_type(target_type)` | `get_semantic_hasher_for_type(target_type)` | +| `has_handler(target_type)` | `has_semantic_hasher(target_type)` | + +The `register(target_type, handler)` method name is unchanged — "register" is generic enough. All references across the codebase (imports, JSON specs, tests, docs) must be updated in the same PR. - Per the project's no-backward-compatibility policy: no re-export aliases or deprecation wrappers. -### 6. `v0.1.json` changes +### 6. Protocol tightening — `PythonTypeSemanticHasherProtocol` + +**File:** `src/orcapod/protocols/hashing_protocols.py` + +The `handle(obj, hasher) -> Any` method is replaced by `hash(obj, hasher) -> ContentHash`: + +```python +class PythonTypeSemanticHasherProtocol(Protocol): + """Protocol for type-specific semantic hashers used by SemanticAwarePythonHasher. + + A PythonTypeSemanticHasherProtocol hashes a specific Python type to a ContentHash. + Implementations are registered with a PythonTypeSemanticHasherRegistry and looked + up via MRO-aware resolution. + + Each implementation receives the full SemanticAwarePythonHasher so it can delegate + hashing of sub-values (e.g. hashing a dict of function metadata) back to the outer + hasher without coupling to a specific hasher instance. + """ + + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + """Hash *obj* to a ContentHash. + + Args: + obj: The object to hash. Always matches the registered type. + hasher: The active SemanticAwarePythonHasher. Use + ``hasher.hash_object(sub_value)`` to hash sub-values. + + Returns: + ContentHash: The content-addressed hash of *obj*. + """ + ... +``` + +#### `hash_object()` simplification + +Because every semantic hasher now returns `ContentHash` directly, the dispatch in `hash_object()` simplifies +from a double call to a single call: + +```python +# Before +semantic_hasher = self._registry.get_semantic_hasher(obj) +if semantic_hasher is not None: + return self.hash_object(semantic_hasher.handle(obj, self), resolver=resolver) + # ^^^ recursive wrap ^^^ + +# After +semantic_hasher = self._registry.get_semantic_hasher(obj) +if semantic_hasher is not None: + return semantic_hasher.hash(obj, self) # always ContentHash — no wrap +``` + +#### Updated builtin implementations + +Each builtin class returns `ContentHash` directly by delegating sub-values back to `hasher.hash_object()`: + +```python +class PathSemanticHasher: + def __init__(self, file_hasher: FileContentHasherProtocol) -> None: + self.file_hasher = file_hasher + + def hash(self, obj: PathLike, hasher: SemanticAwarePythonHasher) -> ContentHash: + path = Path(obj) + # (existence / is_dir checks unchanged) + return self.file_hasher.hash_file(path) # already returns ContentHash + + +class UUIDSemanticHasher: + def hash(self, obj: Any, hasher: SemanticAwarePythonHasher) -> ContentHash: + return hasher.hash_object(obj.bytes) # bytes → ContentHash via hasher + + +class BytesSemanticHasher: + def hash(self, obj: Any, hasher: SemanticAwarePythonHasher) -> ContentHash: + if isinstance(obj, (bytes, bytearray)): + return hasher.hash_object(obj.hex()) # hex str → ContentHash via hasher + raise TypeError(...) + + +class FunctionSemanticHasher: + def __init__(self, function_info_extractor: Any) -> None: + self.function_info_extractor = function_info_extractor + + def hash(self, obj: Any, hasher: SemanticAwarePythonHasher) -> ContentHash: + info = self.function_info_extractor.extract_function_info(obj) + return hasher.hash_object(info) # dict → ContentHash via hasher + + +class TypeObjectSemanticHasher: + def hash(self, obj: Any, hasher: SemanticAwarePythonHasher) -> ContentHash: + module = obj.__module__ or "" + return hasher.hash_object(f"type:{module}.{obj.__qualname__}") + + +class ArrowTableSemanticHasher: + def __init__(self, arrow_hasher: ArrowHasherProtocol) -> None: + self.arrow_hasher = arrow_hasher + + def hash(self, obj: Any, hasher: SemanticAwarePythonHasher) -> ContentHash: + if isinstance(obj, pa.RecordBatch): + obj = pa.Table.from_batches([obj]) + return self.arrow_hasher.hash_table(obj) # already returns ContentHash + + +class SpecialFormSemanticHasher: + def hash(self, obj: Any, hasher: SemanticAwarePythonHasher) -> ContentHash: + name = getattr(obj, "_name", None) or repr(obj) + return hasher.hash_object(f"special_form:typing.{name}") + + +class GenericAliasSemanticHasher: + def hash(self, obj: Any, hasher: SemanticAwarePythonHasher) -> ContentHash: + import typing + origin = getattr(obj, "__origin__", None) + args = getattr(obj, "__args__", None) or () + if origin is None: + return hasher.hash_object(f"generic_alias:{obj!r}") + if origin is typing.Union: + hashed_args = sorted(hasher.hash_object(arg).to_string() for arg in args) + return hasher.hash_object({"__type__": "union", "args": hashed_args}) + return hasher.hash_object({ + "__type__": "generic_alias", + "origin": hasher.hash_object(origin).to_string(), + "args": [hasher.hash_object(arg).to_string() for arg in args], + }) + + +class UnionTypeSemanticHasher: + def hash(self, obj: Any, hasher: SemanticAwarePythonHasher) -> ContentHash: + args = getattr(obj, "__args__", None) or () + hashed_args = sorted(hasher.hash_object(arg).to_string() for arg in args) + return hasher.hash_object({"__type__": "union", "args": hashed_args}) +``` + +### 7. `v0.1.json` changes **File:** `src/orcapod/contexts/data/v0.1.json` @@ -250,59 +445,70 @@ Per the project's no-backward-compatibility policy: no re-export aliases or depr "type_converter": {"_ref": "type_converter"}, "semantic_hasher": {"_ref": "semantic_hasher"} ``` -- Rename the `type_handler_registry` component key → `python_type_handler_registry`. - Update the `semantic_hasher._config` ref accordingly: +- Rename component key `type_handler_registry` → `python_type_semantic_hasher_registry`. +- Update `semantic_hasher._config` ref: ```json - "type_handler_registry": {"_ref": "python_type_handler_registry"} + "type_handler_registry": {"_ref": "python_type_semantic_hasher_registry"} ``` -- Update `arrow_hasher._class` from `StarfixArrowHasher` (already correct) and verify `semantic_hasher._class` is updated to `SemanticAwarePythonHasher`. -- Update `type_handler_registry` (inside `_config`) class references: - `TypeHandlerRegistry` → `PythonTypeHandlerRegistry` +- Update `semantic_hasher._class`: + `orcapod.hashing.semantic_hashing.semantic_hasher.BaseSemanticHasher` + → `orcapod.hashing.semantic_hashing.semantic_hasher.SemanticAwarePythonHasher` +- Update `python_type_semantic_hasher_registry._class`: + `orcapod.hashing.semantic_hashing.type_handler_registry.TypeHandlerRegistry` + → `orcapod.hashing.semantic_hashing.type_handler_registry.PythonTypeSemanticHasherRegistry` +- Update all handler `_class` entries in `python_type_semantic_hasher_registry._config.handlers` + to use the new class names (e.g. `PathContentHandler` → `PathSemanticHasher`, etc.) Full updated component list in file order: ``` -file_hasher (unchanged) -semantic_registry ← DELETE -arrow_hasher (updated refs: type_converter + semantic_hasher) -type_converter (unchanged) -function_info_extractor(unchanged) -python_type_handler_registry ← renamed from type_handler_registry -semantic_hasher (class → SemanticAwarePythonHasher, ref updated) +file_hasher (unchanged) +semantic_registry ← DELETE +arrow_hasher (class unchanged; _config: + type_converter ref, + semantic_hasher ref, - semantic_registry ref) +type_converter (unchanged) +function_info_extractor (unchanged) +python_type_semantic_hasher_registry ← renamed from type_handler_registry; class + handler entries updated +semantic_hasher (class → SemanticAwarePythonHasher; ref updated) ``` -### 7. `context_schema.json` changes +### 8. `context_schema.json` changes **File:** `src/orcapod/contexts/data/schemas/context_schema.json` - Remove the `semantic_registry` property from `properties`. -- Rename `type_handler_registry` property to `python_type_handler_registry`. +- Rename `type_handler_registry` property to `python_type_semantic_hasher_registry`. -### 8. `DataContext` core +### 9. `DataContext` core **File:** `src/orcapod/contexts/core.py` `DataContext` is a dataclass with `type_converter`, `arrow_hasher`, and `semantic_hasher` fields. -The `type_handler_registry` is not a field on `DataContext` — it is an implementation detail of the -`semantic_hasher`. No changes needed to `core.py` for this issue. +`type_handler_registry` is not a field on `DataContext` — it is an implementation detail of `semantic_hasher`. +No changes needed to `core.py`. -### 9. `versioned_hashers.py` +### 10. `versioned_hashers.py` **File:** `src/orcapod/hashing/versioned_hashers.py` -Update `get_versioned_semantic_arrow_hasher()` to use the new constructor signature: +Update `get_versioned_semantic_arrow_hasher()`: +- Remove inline `SemanticTypeRegistry` / `PythonPathStructConverter` / `UUIDStructConverter` construction. +- Source `type_converter` and `semantic_hasher` from the default `DataContext`: + ```python -from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher -# ... -hasher = StarfixArrowHasher( - hasher_id=hasher_id, - type_converter=type_converter, # UniversalTypeConverter from DataContext - semantic_hasher=semantic_hasher, # SemanticAwarePythonHasher from DataContext -) +def get_versioned_semantic_arrow_hasher( + hasher_id: str = _CURRENT_ARROW_HASHER_ID, +) -> hp.ArrowHasherProtocol: + from orcapod.hashing.arrow_hashers import StarfixArrowHasher + from orcapod.contexts import resolve_context + + ctx = resolve_context(None) # default context + return StarfixArrowHasher( + hasher_id=hasher_id, + type_converter=ctx.type_converter, + semantic_hasher=ctx.semantic_hasher, + ) ``` -Since `versioned_hashers.py` currently constructs its own `SemanticTypeRegistry` inline, this module -needs to source `type_converter` and `semantic_hasher` from the active `DataContext` instead. If no context -is available at call time, wire it from the default context. +Update `get_versioned_semantic_hasher()` to import `SemanticAwarePythonHasher` instead of `BaseSemanticHasher`. --- @@ -310,10 +516,10 @@ is available at call time, wire it from the default context. | File | Reason | |------|--------| -| `src/orcapod/semantic_types/semantic_struct_converters.py` | Old shape-based converters (PythonPathStructConverter, UUIDStructConverter, UPathStructConverter) | -| `src/orcapod/semantic_types/semantic_registry.py` | Old SemanticTypeRegistry | -| `SemanticStructConverterProtocol` class in `src/orcapod/protocols/semantic_types_protocols.py` | Protocol for old converters | -| `tests/test_semantic_types/` (all 9 files) | Tests for the old system | +| `src/orcapod/semantic_types/semantic_struct_converters.py` | Old shape-based converters | +| `src/orcapod/semantic_types/semantic_registry.py` | Old `SemanticTypeRegistry` | +| `SemanticStructConverterProtocol` class in `src/orcapod/protocols/semantic_types_protocols.py` | Protocol for old system | +| `tests/test_semantic_types/` (all 9 files) | Tests for old system | After deletion, verify `src/orcapod/semantic_types/__init__.py` no longer re-exports deleted names. @@ -321,15 +527,28 @@ After deletion, verify `src/orcapod/semantic_types/__init__.py` no longer re-exp ## Files to update (beyond the core changes) -These files import from the deleted / renamed modules and must be updated: - -- `src/orcapod/hashing/__init__.py` — re-exports `SemanticArrowHasher` (if deleted) and `TypeHandlerRegistry` (renamed) -- `src/orcapod/hashing/versioned_hashers.py` — inline `SemanticTypeRegistry` construction, renamed hasher class -- `src/orcapod/contexts/registry.py` — constructs contexts from JSON; will pick up new class names automatically via `parse_objectspec` as long as the JSON is updated -- `src/orcapod/__init__.py` — any top-level re-exports -- `tests/test_hashing/` — update imports and any `SemanticTypeRegistry` references - -Run `grep -r "SemanticTypeRegistry\|semantic_registry\|SemanticStructConverter\|BaseSemanticHasher\|TypeHandlerRegistry\|BuiltinTypeHandlerRegistry" src/ tests/` after implementation to catch any remaining references. +These files import from the deleted or renamed modules and must be updated: + +- `src/orcapod/hashing/__init__.py` — re-exports `BaseSemanticHasher`, `TypeHandlerRegistry`, `TypeHandlerProtocol` +- `src/orcapod/hashing/semantic_hashing/__init__.py` — re-exports all renamed classes +- `src/orcapod/hashing/defaults.py` — `get_default_type_handler_registry` → `get_default_python_type_semantic_hasher_registry` +- `src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py` — references `BaseSemanticHasher` +- `src/orcapod/hashing/versioned_hashers.py` — inline registry construction, old class names +- `src/orcapod/protocols/hashing_protocols.py` — `TypeHandlerProtocol` docstring references +- `src/orcapod/contexts/core.py` — `TYPE_CHECKING` import of `BaseSemanticHasher` (if any) +- `tests/test_hashing/` — update imports and any direct registry/handler references + +Run this sweep after implementation to catch any remaining references: + +```bash +grep -rn "SemanticTypeRegistry\|semantic_registry\|SemanticStructConverter\ +\|BaseSemanticHasher\|TypeHandlerRegistry\|BuiltinTypeHandlerRegistry\ +\|TypeHandlerProtocol\|PathContentHandler\|UPathContentHandler\ +\|UUIDHandler\|BytesHandler\|FunctionHandler\|TypeObjectHandler\ +\|SpecialFormHandler\|GenericAliasHandler\|UnionTypeHandler\|ArrowTableHandler\ +\|SchemaHandler\|register_builtin_handlers\|get_default_type_handler_registry\ +\|type_handler_registry\|get_handler\|has_handler" src/ tests/ +``` --- @@ -343,70 +562,50 @@ Hash values produced by `visit_extension` are stored as `pa.large_binary()` with where `content_hash.to_prefixed_digest()` = `method.encode("ascii") + b":" + digest_bytes`. -Full example for a `pathlib.Path` column hashed with SHA-256: +Full example for a `pathlib.Path` column whose file is hashed with SHA-256 by the semantic hasher: ``` b"orcapod.path:semantic_v0.1:\xab\xcd\xef..." + ^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^ + hasher_id raw SHA-256 digest ``` -This is consistent with the pattern already used in `function_node.py`: +This is consistent with the existing pattern in `function_node.py`: ```python self.data_context.arrow_hasher.hash_table(tag_with_hash).to_prefixed_digest() ``` --- -## Extension type short-circuit fix - -In `StarfixArrowHasher._process_table_columns`, the current short-circuit bypasses the visitor for -non-struct/non-list columns: - -```python -if not ( - pa.types.is_struct(field.type) - or pa.types.is_list(field.type) - or ... -): - new_columns.append(table.column(i)) # skipped — no visitor call - ... - continue -``` - -Extension type columns whose storage type is `pa.large_string()` (e.g. `orcapod.path`) would be -short-circuited here. The fix: also skip the short-circuit when the field type is an extension type: - -```python -if not ( - isinstance(field.type, pa.ExtensionType) # ← add this - or pa.types.is_struct(field.type) - or pa.types.is_list(field.type) - or pa.types.is_large_list(field.type) - or pa.types.is_fixed_size_list(field.type) - or pa.types.is_map(field.type) -): - ... - continue -``` - ---- - ## Test strategy -1. Existing tests in `tests/test_hashing/` must all pass after the rename and wiring changes. -2. `tests/test_extension_types/` round-trip tests verify the conversion chain; these should continue to pass. -3. The deleted `tests/test_semantic_types/` tests are replaced implicitly by the extension type integration - tests — no new test file is required unless a specific gap is identified. +1. Existing tests in `tests/test_hashing/` must all pass after renames, protocol changes, and wiring. +2. `tests/test_extension_types/` round-trip tests verify the full conversion chain; these must pass. +3. The deleted `tests/test_semantic_types/` tests are superseded by the extension type integration tests. 4. Run: `uv run pytest tests/test_hashing/ tests/test_extension_types/ tests/test_core/ -x` --- ## Implementation order -1. Rename `BaseSemanticHasher` → `SemanticAwarePythonHasher` and `TypeHandlerRegistry` → `PythonTypeHandlerRegistry` (update all references). -2. Add `visit_extension` to `ArrowTypeDataVisitor`; update `visit()` dispatch. -3. Rewrite `SemanticHashingVisitor` constructor and `visit_extension` implementation. -4. Update `StarfixArrowHasher` constructor; update `_process_table_columns` short-circuit. -5. Update `v0.1.json` and `context_schema.json`. -6. Update `versioned_hashers.py`. -7. Delete old semantic type files and their tests. -8. Run grep sweep for stale references; fix any found. -9. Run full test suite. +1. **Rename `TypeHandlerProtocol` → `PythonTypeSemanticHasherProtocol`**, change `handle() -> Any` to + `hash() -> ContentHash` in `protocols/hashing_protocols.py`. Update docstring. +2. **Rename `TypeHandlerRegistry` → `PythonTypeSemanticHasherRegistry`**, rename all registry methods + (`get_handler` → `get_semantic_hasher`, `has_handler` → `has_semantic_hasher`, etc.), + rename `BuiltinTypeHandlerRegistry` → `BuiltinPythonTypeSemanticHasherRegistry`. +3. **Update all builtin handler classes** in `builtin_handlers.py`: rename each class, change `handle()` → + `hash()`, update return type from `Any` → `ContentHash`, update implementations to return `ContentHash` + directly. Rename `register_builtin_handlers` → `register_builtin_python_type_semantic_hashers`. +4. **Rename `BaseSemanticHasher` → `SemanticAwarePythonHasher`** in `semantic_hasher.py`: simplify + `hash_object()` dispatch (remove double-wrap), rename `type_handler_registry` property → + `type_semantic_hasher_registry`, rename `get_default_type_handler_registry` → + `get_default_python_type_semantic_hasher_registry`. +5. **Update `__init__.py` exports** in `hashing/` and `hashing/semantic_hashing/` to use new names. +6. **Add `visit_extension` to `ArrowTypeDataVisitor`**; update `visit()` dispatch. +7. **Rewrite `SemanticHashingVisitor`** constructor and `visit_extension` implementation. +8. **Update `StarfixArrowHasher`**: new constructor signature, `_process_table_columns` short-circuit fix, + delete `SemanticArrowHasher`. +9. **Update `v0.1.json`** and **`context_schema.json`**. +10. **Update `versioned_hashers.py`** to source from `DataContext`. +11. **Delete** old semantic type files and their tests. +12. **Run grep sweep** for stale references; fix any found. +13. **Run full test suite**: `uv run pytest tests/test_hashing/ tests/test_extension_types/ tests/test_core/ -x` From 156fcfc12d1a3a9f35d47c1ea44da86f7f58b610 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 16:46:57 +0000 Subject: [PATCH 175/206] docs(plt-1660): update binary encoding format to use "::" separator and colon namespace Extension name dots replaced with colons (orcapod.path -> orcapod:path); "::" used as separator between type prefix and hash so the boundary is unambiguous (to_prefixed_digest uses only single ":"). Co-Authored-By: Claude Sonnet 4.6 --- ...lt-1660-hard-cut-extension-type-hashing.md | 39 +++++++++++++------ 1 file changed, 28 insertions(+), 11 deletions(-) diff --git a/superpowers/specs/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md b/superpowers/specs/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md index 3bb0d215..f6f5b009 100644 --- a/superpowers/specs/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md +++ b/superpowers/specs/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md @@ -126,9 +126,13 @@ class SemanticHashingVisitor(ArrowTypeDataVisitor): convert the storage value to a Python object and hash it, replacing the column with a ``pa.large_binary()`` value of the form:: - extension_name_bytes + b":" + content_hash.to_prefixed_digest() + type_name_bytes + b"::" + content_hash.to_prefixed_digest() - where ``content_hash.to_prefixed_digest()`` = ``method_bytes + b":" + digest``. + where ``type_name`` is the extension name with dots replaced by colons + (e.g. ``"orcapod.path"`` → ``"orcapod:path"``), and + ``content_hash.to_prefixed_digest()`` = ``method_bytes + b":" + digest``. + The ``::`` separator is unambiguous because ``to_prefixed_digest()`` only + uses single ``:``. Splitting on ``b"::"`` recovers both parts cleanly. 3. If no hasher is registered (or if ``type_converter`` does not know the extension type), return the extension type and storage value unchanged. The downstream ``StarfixArrowHasher`` / ``ArrowDigester`` will see the @@ -165,10 +169,14 @@ class SemanticHashingVisitor(ArrowTypeDataVisitor): python_obj = self._type_converter.storage_to_python(storage_value, python_type) content_hash = self._python_hasher.hash_object(python_obj) - # Encode as binary: "::" + # Encode as binary: ":::" + # Dots in the extension name are replaced with colons so the type prefix + # uses a consistent namespace separator (e.g. "orcapod:path"). + # The "::" separator is unambiguous — to_prefixed_digest() only uses ":". + type_name = extension_type.extension_name.replace(".", ":") hash_bytes = ( - extension_type.extension_name.encode("ascii") - + b":" + type_name.encode("ascii") + + b"::" + content_hash.to_prefixed_digest() ) return pa.large_binary(), hash_bytes @@ -557,18 +565,27 @@ grep -rn "SemanticTypeRegistry\|semantic_registry\|SemanticStructConverter\ Hash values produced by `visit_extension` are stored as `pa.large_binary()` with the layout: ``` - ":" + "::" ``` -where `content_hash.to_prefixed_digest()` = `method.encode("ascii") + b":" + digest_bytes`. +where: +- `type_name` = `extension_type.extension_name.replace(".", ":")` — dots in the Arrow extension + name are replaced with colons so the prefix uses a uniform namespace separator + (e.g. `"orcapod.path"` → `"orcapod:path"`, `"my.module.MyClass"` → `"my:module:MyClass"`) +- `"::"` is the separator between type prefix and hash — unambiguous because + `to_prefixed_digest()` only uses single `":"` +- `content_hash.to_prefixed_digest()` = `method.encode("ascii") + b":" + digest_bytes` -Full example for a `pathlib.Path` column whose file is hashed with SHA-256 by the semantic hasher: +Full example for a `pathlib.Path` column whose file is hashed by the semantic hasher: ``` -b"orcapod.path:semantic_v0.1:\xab\xcd\xef..." - ^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^ - hasher_id raw SHA-256 digest +b"orcapod:path::semantic_v0.1:\xab\xcd\xef..." + ^^^^^^^^^^^ ^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^ + type prefix hasher_id raw SHA-256 digest + (dots→colons) ``` +Parsing: `value.split(b"::", 1)` → `(b"orcapod:path", b"semantic_v0.1:\xab...")`. + This is consistent with the existing pattern in `function_node.py`: ```python self.data_context.arrow_hasher.hash_table(tag_with_hash).to_prefixed_digest() From 5ddaefa2cdb4a567176431153645d66f82fe1be6 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 17:50:19 +0000 Subject: [PATCH 176/206] =?UTF-8?q?refactor(hashing=5Fprotocols):=20rename?= =?UTF-8?q?=20TypeHandlerProtocol=20=E2=86=92=20PythonTypeSemanticHasherPr?= =?UTF-8?q?otocol,=20tighten=20hash()=20=E2=86=92=20ContentHash?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- src/orcapod/protocols/hashing_protocols.py | 192 ++++----------------- 1 file changed, 31 insertions(+), 161 deletions(-) diff --git a/src/orcapod/protocols/hashing_protocols.py b/src/orcapod/protocols/hashing_protocols.py index e824211a..cee17709 100644 --- a/src/orcapod/protocols/hashing_protocols.py +++ b/src/orcapod/protocols/hashing_protocols.py @@ -9,7 +9,7 @@ if TYPE_CHECKING: import pyarrow as pa - from orcapod.hashing.semantic_hashing.type_handler_registry import TypeHandlerRegistry + from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeSemanticHasherRegistry @runtime_checkable @@ -18,208 +18,81 @@ class DataContextAwareProtocol(Protocol): @property def data_context_key(self) -> str: - """ - Return the data context key associated with this object. - - Returns: - str: The data context key - """ + """Return the data context key associated with this object.""" ... @runtime_checkable class PipelineElementProtocol(Protocol): - """ - Protocol for objects that have a stable identity as an element in a - pipeline graph — determined by schema and upstream topology, not by - data content. - - This is a parallel identity chain to ContentIdentifiableProtocol. - Where content identity captures the precise, data-inclusive identity of - an object, pipeline identity captures only what is structurally meaningful - for pipeline database path scoping: the schemas and the recursive topology - of the upstream computation. - - The base case (RootSource) returns a hash of (tag_schema, data_schema). - Every other element recurses through the pipeline_hash() of its upstream - inputs, with the hash values themselves (ContentHash objects) used as - terminal leaves so no special hasher mode is required. - - Two sources with identical schemas processed through the same function pod - graph will produce the same pipeline_hash() at every downstream node, - enabling automatic multi-source table sharing in the pipeline database. - """ + """Protocol for objects that have a stable identity as an element in a pipeline graph.""" def pipeline_identity_structure(self) -> Any: - """ - Return a structure representing this element's pipeline identity. - - At source nodes (base case): return (tag_schema, data_schema). - At all other nodes: return a structure containing references to - upstream pipeline elements and/or data functions as raw objects. - The pipeline resolver threaded through pipeline_hash() ensures that - PipelineElementProtocol objects are resolved via pipeline_hash() and - other ContentIdentifiable objects via content_hash(), both using the - same hasher throughout the computation. - """ + """Return a structure representing this element's pipeline identity.""" ... def pipeline_hash(self, hasher=None) -> ContentHash: - """ - Return the pipeline-level hash of this element, computed from - pipeline_identity_structure() and cached by hasher_id. - - Args: - hasher: Optional semantic hasher to use. When omitted, resolved - from the element's data_context. - """ + """Return the pipeline-level hash of this element.""" ... @runtime_checkable class ContentIdentifiableProtocol(Protocol): - """ - Protocol for objects that can express their semantic identity as a plain - Python structure. - - This is the only method a class needs to implement to participate in the - content-based hashing system. The returned structure is recursively - resolved by the SemanticHasherProtocol -- any nested ContentIdentifiableProtocol objects - within the structure will themselves be expanded and hashed, producing a - Merkle-tree-like composition of hashes. - - The method should return a deterministic structure whose value depends - only on the semantic content of the object -- not on memory addresses, - object IDs, or other incidental runtime state. - """ + """Protocol for objects that can express their semantic identity as a plain Python structure.""" def identity_structure(self) -> Any: - """ - Return a structure that represents the semantic identity of this object. - - The returned value may be any Python object: - - Primitives (str, int, float, bool, None) are used as-is. - - Collections (list, dict, set, tuple) are recursively traversed. - - Nested ContentIdentifiableProtocol objects are recursively resolved by - the SemanticHasherProtocol: their identity structure is hashed to a - ContentHash hex token, which is then embedded in place of the - object in the parent structure. - - Any type that has a registered TypeHandlerProtocol in the - SemanticHasherProtocol's registry is handled by that handler. + """Return a structure that represents the semantic identity of this object.""" + ... - Returns: - Any: A structure representing this object's semantic content. - Should be deterministic and include all identity-relevant data. - """ + def content_hash(self, hasher: "SemanticHasherProtocol | None" = None) -> ContentHash: + """Returns the content hash.""" ... - def content_hash(self, hasher: SemanticHasherProtocol | None = None) -> ContentHash: - """ - Returns the content hash. - Args: - hasher: Optional semantic hasher to use for the entire recursive - computation. When omitted, resolved from the object's - data_context (or injected hasher for mixin-based objects). - The same hasher propagates to all nested ContentIdentifiable - objects, ensuring one consistent context per computation. - """ - ... +class PythonTypeSemanticHasherProtocol(Protocol): + """Protocol for type-specific semantic hashers used by SemanticAwarePythonHasher. + A ``PythonTypeSemanticHasherProtocol`` hashes a specific Python type to a + ``ContentHash``. Implementations are registered with a + ``PythonTypeSemanticHasherRegistry`` and looked up via MRO-aware resolution. -class TypeHandlerProtocol(Protocol): - """ - Protocol for type-specific serialization handlers used by SemanticHasherProtocol. - - A TypeHandlerProtocol converts a specific Python type into a value that - ``hash_object`` can process. Handlers are registered with a - TypeHandlerRegistry and looked up via MRO-aware resolution. - - The returned value is passed directly back to ``hash_object``, so it may - be anything that ``hash_object`` understands: - - - A primitive (None, bool, int, float, str) -- hashed directly. - - A structure (list, tuple, dict, set, frozenset) -- expanded and hashed. - - A ContentHash -- treated as a terminal; returned as-is without - re-hashing. Use this when the handler has already computed the - definitive hash of the object (e.g. hashing a file's content). - - A ContentIdentifiableProtocol -- its identity_structure() will be called. - - Another registered type -- dispatched through the registry. + Each implementation receives the full ``SemanticAwarePythonHasher`` so it can + delegate hashing of sub-values back to the outer hasher without coupling to a + specific hasher instance. """ - def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: - """ - Convert *obj* into a value that ``hash_object`` can process. + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + """Hash *obj* to a ContentHash. Args: - obj: The object to handle. - hasher: The SemanticHasherProtocol, available if the handler needs to - hash sub-objects explicitly via ``hasher.hash_object()``. + obj: The object to hash. Always matches the registered type. + hasher: The active ``SemanticAwarePythonHasher``. Use + ``hasher.hash_object(sub_value)`` to hash sub-values. Returns: - Any value accepted by ``hash_object``: a primitive, structure, - ContentHash, ContentIdentifiableProtocol, or another registered type. + ContentHash: The content-addressed hash of *obj*. """ ... class SemanticHasherProtocol(Protocol): - """ - Protocol for the semantic content-based hasher. - - ``hash_object(obj)`` is the single recursive entry point. It produces a - ContentHash for any Python object using the following dispatch: - - - ContentHash → terminal; returned as-is - - Primitive → JSON-serialised and hashed directly - - Structure → structurally expanded (type-tagged), then hashed - - Handler match → handler.handle() returns a new value; recurse - - ContentIdentifiableProtocol→ identity_structure() returns a value; recurse - - Unknown → TypeError (strict) or best-effort string (lenient) - - Containers are type-tagged before hashing so that list, tuple, dict, set, - and namedtuple produce distinct hashes even when their elements are equal. - - Unknown types raise TypeError by default (strict mode). Set - strict=False on construction to fall back to a best-effort string - representation with a warning instead. - """ + """Protocol for the semantic content-based hasher.""" def hash_object( self, obj: Any, resolver: Callable[[Any], ContentHash] | None = None, ) -> ContentHash: - """ - Hash *obj* based on its semantic content. - - Args: - obj: The object to hash. - resolver: Optional callable invoked for any ContentIdentifiable - object encountered during hashing. When provided it overrides - the default obj.content_hash() call, allowing the caller to - control which identity chain is used and to propagate a - consistent hasher through the full recursive computation. - - Returns: - ContentHash: Stable, content-based hash of the object. - """ + """Hash *obj* based on its semantic content.""" ... @property def hasher_id(self) -> str: - """ - Returns a unique identifier/name for this hasher instance. - - The hasher_id is embedded in every ContentHash produced by this - hasher, allowing hashes from different versions or configurations - to be distinguished. - """ + """Returns a unique identifier/name for this hasher instance.""" ... @property - def type_handler_registry(self) -> "TypeHandlerRegistry": - """Return the TypeHandlerRegistry used by this hasher.""" + def type_semantic_hasher_registry(self) -> "PythonTypeSemanticHasherRegistry": + """Return the PythonTypeSemanticHasherRegistry used by this hasher.""" ... @@ -269,11 +142,8 @@ def hasher_id(self) -> str: """Unique identifier for this semantic type hasher.""" ... - def hash_column( - self, - column: "pa.Array", - ) -> "pa.Array": - """Hash a column with this semantic type and return the hash bytes an an array""" + def hash_column(self, column: "pa.Array") -> "pa.Array": + """Hash a column with this semantic type and return the hash bytes as an array.""" ... def set_cacher(self, cacher: StringCacherProtocol) -> None: From a9f10968b925c27eabe25afa23a57de33468c6ee Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 17:53:11 +0000 Subject: [PATCH 177/206] refactor(hashing_protocols): add SemanticAwarePythonHasher to TYPE_CHECKING imports --- src/orcapod/protocols/hashing_protocols.py | 1 + 1 file changed, 1 insertion(+) diff --git a/src/orcapod/protocols/hashing_protocols.py b/src/orcapod/protocols/hashing_protocols.py index cee17709..e60d9c12 100644 --- a/src/orcapod/protocols/hashing_protocols.py +++ b/src/orcapod/protocols/hashing_protocols.py @@ -10,6 +10,7 @@ if TYPE_CHECKING: import pyarrow as pa from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeSemanticHasherRegistry + from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher @runtime_checkable From 852560cf167ad123220be85779f7e1871e28a873 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 17:54:45 +0000 Subject: [PATCH 178/206] refactor(type_handler_registry): rename to PythonTypeSemanticHasherRegistry, rename methods --- .../semantic_hashing/type_handler_registry.py | 166 +++++------------- 1 file changed, 45 insertions(+), 121 deletions(-) diff --git a/src/orcapod/hashing/semantic_hashing/type_handler_registry.py b/src/orcapod/hashing/semantic_hashing/type_handler_registry.py index 690ec024..ebae2cb5 100644 --- a/src/orcapod/hashing/semantic_hashing/type_handler_registry.py +++ b/src/orcapod/hashing/semantic_hashing/type_handler_registry.py @@ -1,23 +1,5 @@ """ -Type Handler Registry for the SemanticHasherProtocol system. - -Provides a registry through which TypeHandlerProtocol implementations can be -registered for specific Python types. Lookup is MRO-aware: if no handler -is registered for an exact type, the registry walks the MRO of the object's -class to find the nearest ancestor for which a handler has been registered. - -Usage ------ -# Register a handler for a specific type: -registry = TypeHandlerRegistry() -registry.register(Path, PathContentHandler()) - -# Or use the global default registry: -from orcapod.hashing.semantic_hashing.type_handler_registry import get_default_type_handler_registry -get_default_type_handler_registry().register(MyType, MyTypeHandler()) - -# Look up a handler (returns None if not found): -handler = registry.get_handler(some_object) +PythonTypeSemanticHasherRegistry — MRO-aware registry for PythonTypeSemanticHasherProtocol instances. """ from __future__ import annotations @@ -29,21 +11,18 @@ class to find the nearest ancestor for which a handler has been registered. if TYPE_CHECKING: from orcapod.protocols.hashing_protocols import ( ArrowHasherProtocol, - TypeHandlerProtocol, + PythonTypeSemanticHasherProtocol, ) logger = logging.getLogger(__name__) -class TypeHandlerRegistry: - """ - Registry mapping Python types to TypeHandlerProtocol instances. +class PythonTypeSemanticHasherRegistry: + """Registry mapping Python types to PythonTypeSemanticHasherProtocol instances. - Lookup is MRO-aware: when no handler is registered for the exact type of + Lookup is MRO-aware: when no hasher is registered for the exact type of an object, the registry walks the object's MRO (most-derived first) until - it finds a match. This means a handler registered for a base class is - automatically inherited by all subclasses, unless a more specific handler - has been registered for the subclass. + it finds a match. Thread safety ------------- @@ -52,42 +31,28 @@ class TypeHandlerRegistry: """ def __init__( - self, handlers: list[tuple[type, TypeHandlerProtocol]] | None = None + self, handlers: list[tuple[type, "PythonTypeSemanticHasherProtocol"]] | None = None ) -> None: """ Args: - handlers: Optional list of ``(target_type, handler)`` pairs to - register at construction time. Designed for use with - ``parse_objectspec``: the JSON spec provides a list of - two-element arrays where the first element uses ``_type`` - to resolve a Python type and the second uses ``_class`` to - instantiate the handler. + handlers: Optional list of ``(target_type, hasher)`` pairs to + register at construction time. """ - # Maps type -> handler; insertion order is preserved but lookup uses MRO. - self._handlers: dict[type, TypeHandlerProtocol] = {} + self._handlers: dict[type, "PythonTypeSemanticHasherProtocol"] = {} self._lock = threading.RLock() if handlers: for target_type, handler in handlers: self.register(target_type, handler) - # ------------------------------------------------------------------ - # Registration - # ------------------------------------------------------------------ - - def register(self, target_type: type, handler: TypeHandlerProtocol) -> None: - """ - Register a handler for a specific Python type. + def register(self, target_type: type, handler: "PythonTypeSemanticHasherProtocol") -> None: + """Register a hasher for a specific Python type. - If a handler is already registered for *target_type*, it is silently - replaced by the new handler. + If a hasher is already registered for *target_type*, it is silently + replaced by the new hasher. Args: - target_type: The Python type (or class) for which the handler - should be used. Must be a ``type`` object. - handler: A TypeHandlerProtocol instance whose ``handle()`` method will - be called when an object of ``target_type`` (or a - subclass with no more specific handler) is encountered - during structure resolution. + target_type: The Python type (or class) for which the hasher should be used. + handler: A ``PythonTypeSemanticHasherProtocol`` instance. Raises: TypeError: If ``target_type`` is not a ``type``. @@ -100,7 +65,7 @@ def register(self, target_type: type, handler: TypeHandlerProtocol) -> None: existing = self._handlers.get(target_type) if existing is not None and existing is not handler: logger.debug( - "TypeHandlerRegistry: replacing existing handler for %s (%s -> %s)", + "PythonTypeSemanticHasherRegistry: replacing existing hasher for %s (%s -> %s)", target_type.__name__, type(existing).__name__, type(handler).__name__, @@ -108,14 +73,13 @@ def register(self, target_type: type, handler: TypeHandlerProtocol) -> None: self._handlers[target_type] = handler def unregister(self, target_type: type) -> bool: - """ - Remove the handler registered for *target_type*, if any. + """Remove the hasher registered for *target_type*, if any. Args: - target_type: The type whose handler should be removed. + target_type: The type whose hasher should be removed. Returns: - True if a handler was removed, False if none was registered. + True if a hasher was removed, False if none was registered. """ with self._lock: if target_type in self._handlers: @@ -123,59 +87,41 @@ def unregister(self, target_type: type) -> bool: return True return False - # ------------------------------------------------------------------ - # Lookup - # ------------------------------------------------------------------ - - def get_handler(self, obj: Any) -> "TypeHandlerProtocol | None": - """ - Look up the handler for *obj* using MRO-aware resolution. - - The MRO of ``type(obj)`` is walked from most-derived to least-derived - (i.e. the object's own class first, then its bases). The first - match found in the registry is returned. + def get_semantic_hasher(self, obj: Any) -> "PythonTypeSemanticHasherProtocol | None": + """Look up the hasher for *obj* using MRO-aware resolution. Args: - obj: The object for which a handler is needed. + obj: The object for which a hasher is needed. Returns: - The registered TypeHandlerProtocol, or None if no handler is registered - for the object's type or any of its base classes. + The registered ``PythonTypeSemanticHasherProtocol``, or None. """ obj_type = type(obj) with self._lock: - # Fast path: exact type match. handler = self._handlers.get(obj_type) if handler is not None: return handler - - # Slow path: walk the MRO, skipping the type itself (already - # checked above) and skipping ``object`` as a last resort -- a - # handler registered for ``object`` would match everything. for base in obj_type.__mro__[1:]: handler = self._handlers.get(base) if handler is not None: logger.debug( - "TypeHandlerRegistry: resolved handler for %s via base %s", + "PythonTypeSemanticHasherRegistry: resolved hasher for %s via base %s", obj_type.__name__, base.__name__, ) return handler - return None - def get_handler_for_type(self, target_type: type) -> "TypeHandlerProtocol | None": - """ - Look up the handler for a *type object* (rather than an instance). - - Useful when the caller already has the type and wants to check - registration without constructing a dummy instance. + def get_semantic_hasher_for_type( + self, target_type: type + ) -> "PythonTypeSemanticHasherProtocol | None": + """Look up the hasher for a *type object* (rather than an instance). Args: target_type: The type to look up. Returns: - The registered TypeHandlerProtocol, or None. + The registered ``PythonTypeSemanticHasherProtocol``, or None. """ with self._lock: handler = self._handlers.get(target_type) @@ -187,74 +133,52 @@ def get_handler_for_type(self, target_type: type) -> "TypeHandlerProtocol | None return handler return None - def has_handler(self, target_type: type) -> bool: - """ - Return True if a handler is registered for *target_type* or any of - its MRO ancestors. + def has_semantic_hasher(self, target_type: type) -> bool: + """Return True if a hasher is registered for *target_type* or any MRO ancestor. Args: target_type: The type to check. """ - return self.get_handler_for_type(target_type) is not None + return self.get_semantic_hasher_for_type(target_type) is not None def registered_types(self) -> list[type]: - """ - Return a list of all directly-registered types (no MRO expansion). - - Returns: - A snapshot list of types that have explicit handler registrations. - """ + """Return a list of all directly-registered types (no MRO expansion).""" with self._lock: return list(self._handlers.keys()) - # ------------------------------------------------------------------ - # Dunder helpers - # ------------------------------------------------------------------ - def __repr__(self) -> str: with self._lock: names = [t.__name__ for t in self._handlers] - return f"TypeHandlerRegistry(registered={names!r})" + return f"PythonTypeSemanticHasherRegistry(registered={names!r})" def __len__(self) -> int: with self._lock: return len(self._handlers) -# --------------------------------------------------------------------------- -# Pre-populated registry -# --------------------------------------------------------------------------- - - -def get_default_type_handler_registry() -> "TypeHandlerRegistry": - """ - Return the TypeHandlerRegistry from the default data context. +def get_default_python_type_semantic_hasher_registry() -> "PythonTypeSemanticHasherRegistry": + """Return the PythonTypeSemanticHasherRegistry from the default data context. This is a convenience wrapper; the registry is owned and versioned by the - active DataContext. Importing this function from + active ``DataContext``. Importing this function from ``orcapod.hashing.defaults`` or ``orcapod.hashing`` is equivalent. """ from orcapod.hashing.defaults import ( - get_default_type_handler_registry as _get, - ) # stays in hashing/ - + get_default_python_type_semantic_hasher_registry as _get, + ) return _get() -class BuiltinTypeHandlerRegistry(TypeHandlerRegistry): - """ - A TypeHandlerRegistry pre-populated with all built-in handlers. +class BuiltinPythonTypeSemanticHasherRegistry(PythonTypeSemanticHasherRegistry): + """A PythonTypeSemanticHasherRegistry pre-populated with all built-in hashers. Constructed via the data context JSON spec so that the default registry - is versioned alongside the rest of the context components. The built-in - handlers are registered in ``__init__`` so that no separate population - step is required after construction. + is versioned alongside the rest of the context components. """ def __init__(self, arrow_hasher: "ArrowHasherProtocol | None" = None) -> None: super().__init__() from orcapod.hashing.semantic_hashing.builtin_handlers import ( - register_builtin_handlers, + register_builtin_python_type_semantic_hashers, ) - - register_builtin_handlers(self, arrow_hasher=arrow_hasher) + register_builtin_python_type_semantic_hashers(self, arrow_hasher=arrow_hasher) From d662586b819b56ac98cb4d555e628774b69305b7 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 17:59:25 +0000 Subject: [PATCH 179/206] =?UTF-8?q?refactor(builtin=5Fhandlers):=20rename?= =?UTF-8?q?=20handler=20classes,=20tighten=20hash()=20=E2=86=92=20ContentH?= =?UTF-8?q?ash?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../semantic_hashing/builtin_handlers.py | 435 +++++------------- 1 file changed, 127 insertions(+), 308 deletions(-) diff --git a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py index 1b66d039..48e7dc12 100644 --- a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py +++ b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py @@ -1,30 +1,20 @@ """ -Built-in TypeHandlerProtocol implementations for the SemanticHasherProtocol system. - -This module provides handlers for all Python types that the SemanticHasherProtocol -knows how to process out of the box: - - - PathContentHandler -- pathlib.Path: returns ContentHash of file content - - UPathContentHandler -- upath.UPath: returns ContentHash of file content (remote-aware) - - UUIDHandler -- uuid.UUID: raw 16-byte binary representation - - BytesHandler -- bytes / bytearray: hex string representation - - FunctionHandler -- callable with __code__: via FunctionInfoExtractorProtocol - - TypeObjectHandler -- type objects (classes): stable "type:" string - -Note: ContentHash requires no handler -- it is recognised as a terminal by -``hash_object`` and returned as-is. - -The module also exposes ``register_builtin_handlers(registry)`` which is -called automatically when the global default registry is first accessed. - -Extending the system --------------------- -To add a handler for a third-party type, create a class that implements the -TypeHandlerProtocol protocol (a single ``handle(obj, hasher)`` method) and register -it: - - from orcapod.hashing.semantic_hashing.type_handler_registry import get_default_type_handler_registry - get_default_type_handler_registry().register(MyType, MyTypeHandler()) +Built-in PythonTypeSemanticHasherProtocol implementations. + + PathSemanticHasher -- pathlib.Path: file content hash + UPathSemanticHasher -- upath.UPath: file content hash (remote-aware) + UUIDSemanticHasher -- uuid.UUID: 16-byte binary representation + BytesSemanticHasher -- bytes/bytearray: hex string representation + FunctionSemanticHasher -- callable with __code__: via FunctionInfoExtractorProtocol + TypeObjectSemanticHasher -- type objects: stable "type:." string + SpecialFormSemanticHasher -- typing._SpecialForm + GenericAliasSemanticHasher -- generic alias type annotations + UnionTypeSemanticHasher -- types.UnionType (Python 3.10+ X | Y syntax) + ArrowTableSemanticHasher -- pa.Table / pa.RecordBatch + SchemaSemanticHasher -- Schema objects + +``register_builtin_python_type_semantic_hashers(registry)`` populates a registry +with all of the above. """ from __future__ import annotations @@ -36,442 +26,271 @@ from upath import UPath -from orcapod.types import PathLike, Schema +from orcapod.types import ContentHash, PathLike, Schema if TYPE_CHECKING: from orcapod.hashing.semantic_hashing.type_handler_registry import ( - TypeHandlerRegistry, + PythonTypeSemanticHasherRegistry, ) + from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher from orcapod.protocols.hashing_protocols import ( ArrowHasherProtocol, FileContentHasherProtocol, - SemanticHasherProtocol, ) logger = logging.getLogger(__name__) -# --------------------------------------------------------------------------- -# Individual handlers -# --------------------------------------------------------------------------- - - -class PathContentHandler: - """ - Handler for pathlib.Path objects. - - Hashes the *content* of the file at the given path using the injected - FileContentHasherProtocol, producing a stable content-addressed identifier. - The resulting bytes are stored as a hex string embedded in the resolved - structure. - - The path must refer to an existing, readable file. Directories and - missing paths are not supported and will raise an error -- if you need - a path-as-string handler, register a separate handler for that use case - or return a ``str`` from ``identity_structure()`` instead of a ``Path``. +class PathSemanticHasher: + """Hasher for pathlib.Path objects — hashes file *content*. Args: - file_hasher: Any object with a ``hash_file(path) -> ContentHash`` - method (satisfies the FileContentHasherProtocol protocol). + file_hasher: Any object with a ``hash_file(path) -> ContentHash`` method. """ - def __init__(self, file_hasher: FileContentHasherProtocol) -> None: + def __init__(self, file_hasher: "FileContentHasherProtocol") -> None: self.file_hasher = file_hasher - def handle(self, obj: PathLike, hasher: "SemanticHasherProtocol") -> Any: + def hash(self, obj: PathLike, hasher: "SemanticAwarePythonHasher") -> ContentHash: path: Path = Path(obj) - if not path.exists(): raise FileNotFoundError( - f"PathContentHandler: path does not exist: {path!r}. " - "Paths must refer to existing files for content-based hashing. " - "If you intended to hash the path string, return str(path) from " - "identity_structure() instead of a Path object." + f"PathSemanticHasher: path does not exist: {path!r}. " + "Paths must refer to existing files for content-based hashing." ) - if path.is_dir(): raise IsADirectoryError( - f"PathContentHandler: path is a directory: {path!r}. " + f"PathSemanticHasher: path is a directory: {path!r}. " "Only regular files are supported for content-based hashing." ) - - logger.debug("PathContentHandler: hashing file content at %s", path) + logger.debug("PathSemanticHasher: hashing file content at %s", path) return self.file_hasher.hash_file(path) -class UPathContentHandler: - """ - Handler for universal_pathlib.UPath objects. - - Behaves identically to ``PathContentHandler`` but preserves the UPath - instance so that remote filesystem semantics (e.g. S3, GCS) are retained - during file content hashing. +class UPathSemanticHasher: + """Hasher for universal_pathlib.UPath objects — hashes file content. Args: - file_hasher: Any object with a ``hash_file(path) -> ContentHash`` - method (satisfies the FileContentHasherProtocol protocol). + file_hasher: Any object with a ``hash_file(path) -> ContentHash`` method. """ - def __init__(self, file_hasher: FileContentHasherProtocol) -> None: + def __init__(self, file_hasher: "FileContentHasherProtocol") -> None: self.file_hasher = file_hasher - def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: if not isinstance(obj, UPath): raise TypeError( - f"UPathContentHandler: expected a UPath, got {type(obj)!r}. " - "Use PathContentHandler for pathlib.Path objects." + f"UPathSemanticHasher: expected a UPath, got {type(obj)!r}." ) - if not obj.exists(): raise FileNotFoundError( - f"UPathContentHandler: path does not exist: {obj!r}. " - "Paths must refer to existing files for content-based hashing." + f"UPathSemanticHasher: path does not exist: {obj!r}." ) - if obj.is_dir(): raise IsADirectoryError( - f"UPathContentHandler: path is a directory: {obj!r}. " - "Only regular files are supported for content-based hashing." + f"UPathSemanticHasher: path is a directory: {obj!r}." ) - - logger.debug("UPathContentHandler: hashing file content at %s", obj) + logger.debug("UPathSemanticHasher: hashing file content at %s", obj) return self.file_hasher.hash_file(obj) -class UUIDHandler: - """Handler for ``uuid.UUID`` objects. - - Returns the raw 16-byte binary representation of the UUID. - The binary form is compact, unambiguous, and independent of string - formatting conventions. UUID values in data columns are stored as - ``pa.binary(16)`` (fixed-size) within the struct type used by - ``UUIDStructConverter``; database record IDs use ``pa.large_binary()``. - """ - - def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: - return obj.bytes +class UUIDSemanticHasher: + """Hasher for ``uuid.UUID`` objects — hashes the raw 16-byte binary representation.""" + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + return hasher.hash_object(obj.bytes) -class BytesHandler: - """ - Handler for bytes and bytearray objects. - Converts binary data to its lowercase hex string representation. This - avoids JSON serialisation issues with raw bytes while preserving the - exact byte sequence in the hash input. - """ +class BytesSemanticHasher: + """Hasher for bytes and bytearray objects — hashes the lowercase hex representation.""" - def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: if isinstance(obj, (bytes, bytearray)): - return obj.hex() - raise TypeError(f"BytesHandler: expected bytes or bytearray, got {type(obj)!r}") - + return hasher.hash_object(obj.hex()) + raise TypeError( + f"BytesSemanticHasher: expected bytes or bytearray, got {type(obj)!r}" + ) -class FunctionHandler: - """ - Handler for Python functions / callables that carry a ``__code__`` attribute. - Delegates to a FunctionInfoExtractorProtocol to produce a stable, serialisable - dict representation of the function. The extractor is responsible for - deciding which parts of the function (name, signature, source body, etc.) - are included. +class FunctionSemanticHasher: + """Hasher for Python functions/callables with a ``__code__`` attribute. Args: function_info_extractor: Any object with an - ``extract_function_info(func) -> dict`` method (satisfies the - FunctionInfoExtractorProtocol protocol). + ``extract_function_info(func) -> dict`` method. """ def __init__(self, function_info_extractor: Any) -> None: self.function_info_extractor = function_info_extractor - def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: if not (callable(obj) and hasattr(obj, "__code__")): raise TypeError( - f"FunctionHandler: expected a callable with __code__, got {type(obj)!r}" + f"FunctionSemanticHasher: expected a callable with __code__, got {type(obj)!r}" ) func_name = getattr(obj, "__name__", repr(obj)) - logger.debug("FunctionHandler: extracting info for function %r", func_name) + logger.debug("FunctionSemanticHasher: extracting info for function %r", func_name) info: dict[str, Any] = self.function_info_extractor.extract_function_info(obj) - return info + return hasher.hash_object(info) -class TypeObjectHandler: - """ - Handler for type objects (i.e. classes passed as values). +class TypeObjectSemanticHasher: + """Hasher for type objects (classes passed as values). - Returns a stable string of the form ``"type:."`` so - that different classes always produce different hash inputs and the - result is human-readable. + Returns a stable string of the form ``"type:."``. """ - def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: if not isinstance(obj, type): raise TypeError( - f"TypeObjectHandler: expected a type/class, got {type(obj)!r}" + f"TypeObjectSemanticHasher: expected a type/class, got {type(obj)!r}" ) module: str = obj.__module__ or "" qualname: str = obj.__qualname__ - return f"type:{module}.{qualname}" + return hasher.hash_object(f"type:{module}.{qualname}") -class SpecialFormHandler: - """ - Handler for ``typing._SpecialForm`` objects such as ``typing.Union`` and - ``typing.ClassVar``. - - These appear as the ``__origin__`` of typing generics — for example, - ``Optional[int]`` is ``Union[int, None]``, whose ``__origin__`` is - ``typing.Union``. Returns a stable string of the form - ``"special_form:typing."`` so they can be safely embedded as the - origin component inside a ``GenericAliasHandler`` result. - """ +class SpecialFormSemanticHasher: + """Hasher for ``typing._SpecialForm`` objects such as ``typing.Union``.""" - def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: name = getattr(obj, "_name", None) or repr(obj) - return f"special_form:typing.{name}" + return hasher.hash_object(f"special_form:typing.{name}") -class GenericAliasHandler: - """ - Handler for generic alias type annotations such as ``dict[int, list[int]]`` - (``types.GenericAlias``) and ``typing`` generics (``typing._GenericAlias``). - - Produces a stable dict containing the origin type and a list of hashed - argument types so that structurally identical generic annotations always - yield the same hash, and structurally different ones yield different hashes. +class GenericAliasSemanticHasher: + """Hasher for generic alias type annotations (``dict[int, str]``, ``Optional[X]``, etc.).""" - When the origin is ``typing.Union`` (i.e. ``typing.Optional[X]`` or - ``typing.Union[X, Y]``), the handler produces a canonical ``"union"`` - form with sorted args — identical to `UnionTypeHandler` — so that - ``typing.Optional[int]`` and ``int | None`` hash equivalently. - """ - - def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: import typing origin = getattr(obj, "__origin__", None) args = getattr(obj, "__args__", None) or () if origin is None: - return f"generic_alias:{obj!r}" - - # Normalize typing.Union / typing.Optional to the canonical union - # form so that typing.Optional[int] ≡ typing.Union[int, None] ≡ int | None. + return hasher.hash_object(f"generic_alias:{obj!r}") if origin is typing.Union: hashed_args = sorted(hasher.hash_object(arg).to_string() for arg in args) - return { - "__type__": "union", - "args": hashed_args, - } - - return { + return hasher.hash_object({"__type__": "union", "args": hashed_args}) + return hasher.hash_object({ "__type__": "generic_alias", "origin": hasher.hash_object(origin).to_string(), "args": [hasher.hash_object(arg).to_string() for arg in args], - } + }) -class UnionTypeHandler: - """ - Handler for ``types.UnionType`` objects (Python 3.10+ ``X | Y`` syntax). - - ``str | None``, ``int | float``, etc. produce a ``types.UnionType`` at - runtime, which is distinct from ``typing.Union[str, None]`` - (a ``typing._GenericAlias``). This handler normalises union types into - a canonical ``"union"`` form with sorted args — identical to the union - branch in `GenericAliasHandler` — so that ``int | None``, - ``typing.Optional[int]``, and ``typing.Union[int, None]`` all hash - equivalently. - """ +class UnionTypeSemanticHasher: + """Hasher for ``types.UnionType`` objects (Python 3.10+ ``X | Y`` syntax).""" - def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: args = getattr(obj, "__args__", None) or () hashed_args = sorted(hasher.hash_object(arg).to_string() for arg in args) - return { - "__type__": "union", - "args": hashed_args, - } + return hasher.hash_object({"__type__": "union", "args": hashed_args}) -class ArrowTableHandler: - """ - Handler for ``pa.Table`` and ``pa.RecordBatch`` objects. - - Delegates to the injected ``ArrowHasherProtocol`` to produce a stable, - content-addressed ``ContentHash`` of the Arrow table data. The returned - ``ContentHash`` is recognised as a terminal by ``hash_object`` and - returned as-is — no further recursion occurs. +class ArrowTableSemanticHasher: + """Hasher for ``pa.Table`` and ``pa.RecordBatch`` objects. Args: - arrow_hasher: Any object satisfying ArrowHasherProtocol (i.e. has a - ``hash_table(table) -> ContentHash`` method). + arrow_hasher: Any object satisfying ``ArrowHasherProtocol``. """ - def __init__(self, arrow_hasher: ArrowHasherProtocol) -> None: + def __init__(self, arrow_hasher: "ArrowHasherProtocol") -> None: self.arrow_hasher = arrow_hasher - def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: import pyarrow as _pa if isinstance(obj, _pa.RecordBatch): obj = _pa.Table.from_batches([obj]) if not isinstance(obj, _pa.Table): raise TypeError( - f"ArrowTableHandler: expected pa.Table or pa.RecordBatch, got {type(obj)!r}" + f"ArrowTableSemanticHasher: expected pa.Table or pa.RecordBatch, got {type(obj)!r}" ) return self.arrow_hasher.hash_table(obj) -class SchemaHandler: - """ - Handler for `Schema` objects. - - Produces a stable dict containing both the field-type mapping and the - sorted list of optional field names, so that two schemas differing only - in which fields are optional produce different hashes. - """ +class SchemaSemanticHasher: + """Hasher for ``Schema`` objects.""" - def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: if not isinstance(obj, Schema): - raise TypeError(f"SchemaHandler: expected a Schema, got {type(obj)!r}") - # schema handler is not implemented yet - raise NotImplementedError() - # visited: frozenset[int] = frozenset() - - # return { - # "fields": {k: hasher._expand_element(v, visited) for k, v in obj.items()}, - # "optional_fields": sorted(obj.optional_fields), - # } - - -# --------------------------------------------------------------------------- -# Registration helper -# --------------------------------------------------------------------------- + raise TypeError( + f"SchemaSemanticHasher: expected a Schema, got {type(obj)!r}" + ) + raise NotImplementedError("SchemaSemanticHasher is not yet implemented.") -def register_builtin_handlers( - registry: "TypeHandlerRegistry", +def register_builtin_python_type_semantic_hashers( + registry: "PythonTypeSemanticHasherRegistry", file_hasher: Any = None, function_info_extractor: Any = None, arrow_hasher: "ArrowHasherProtocol | None" = None, ) -> None: - """ - Register all built-in TypeHandlers into *registry*. - - This function is called automatically when the global default registry is - first accessed via ``get_default_type_handler_registry()``. It can also - be called manually to populate a custom registry. - - Path, function, and Arrow table handling require auxiliary objects. - When these are not supplied, sensible defaults are constructed: + """Register all built-in semantic hashers into *registry*. - - ``BasicFileHasher`` (SHA-256, 64 KiB buffer) for Path handling. - - ``FunctionSignatureExtractor`` for function handling. - - ``SemanticArrowHasher`` (SHA-256, logical serialisation) for Arrow table handling. + When ``arrow_hasher`` is None, ``pa.Table`` and ``pa.RecordBatch`` handlers + are **not** registered (to avoid circular dependency in the JSON context + construction — the default context's ``python_type_semantic_hasher_registry`` + is built before ``arrow_hasher``). Args: - registry: - The TypeHandlerRegistry to populate. - file_hasher: - Optional object satisfying FileContentHasherProtocol (i.e. has a - ``hash_file(path) -> ContentHash`` method). Defaults to a - ``BasicFileHasher`` configured with SHA-256. - function_info_extractor: - Optional object satisfying FunctionInfoExtractorProtocol (i.e. has an - ``extract_function_info(func) -> dict`` method). Defaults to - ``FunctionSignatureExtractor``. - arrow_hasher: - Optional object satisfying ArrowHasherProtocol (i.e. has a - ``hash_table(table) -> ContentHash`` method). Defaults to a - ``SemanticArrowHasher`` configured with SHA-256 and logical serialisation. - Should be the data context's arrow hasher when called from a versioned - context so that hashing is consistent across all components. + registry: The ``PythonTypeSemanticHasherRegistry`` to populate. + file_hasher: Optional ``FileContentHasherProtocol`` for path hashing. + Defaults to ``BasicFileHasher(sha256)``. + function_info_extractor: Optional ``FunctionInfoExtractorProtocol``. + Defaults to ``FunctionSignatureExtractor``. + arrow_hasher: Optional ``ArrowHasherProtocol`` for nested table hashing. + When None, Arrow table handlers are skipped. """ - # Resolve defaults for auxiliary objects ---------------------------- if file_hasher is None: - from orcapod.hashing.file_hashers import BasicFileHasher # stays in hashing/ - + from orcapod.hashing.file_hashers import BasicFileHasher file_hasher = BasicFileHasher(algorithm="sha256") if function_info_extractor is None: from orcapod.hashing.semantic_hashing.function_info_extractors import ( FunctionSignatureExtractor, ) - function_info_extractor = FunctionSignatureExtractor( include_module=True, include_defaults=True, ) - if arrow_hasher is None: - from orcapod.hashing.arrow_hashers import SemanticArrowHasher - from orcapod.semantic_types.semantic_registry import SemanticTypeRegistry - - arrow_hasher = SemanticArrowHasher( - semantic_registry=SemanticTypeRegistry(), - hasher_id="arrow_v0.1", - hash_algorithm="sha256", - serialization_method="logical", - ) - - # Register handlers ------------------------------------------------- - - # bytes / bytearray - bytes_handler = BytesHandler() - registry.register(bytes, bytes_handler) - registry.register(bytearray, bytes_handler) - - # pathlib.Path (and subclasses such as PosixPath / WindowsPath) - registry.register(Path, PathContentHandler(file_hasher)) - - # uuid.UUID - registry.register(UUID, UUIDHandler()) + bytes_hasher = BytesSemanticHasher() + registry.register(bytes, bytes_hasher) + registry.register(bytearray, bytes_hasher) - # Note: ContentHash needs no handler -- SemanticHasherProtocol treats it as - # a terminal in hash_object() and returns it as-is. + registry.register(Path, PathSemanticHasher(file_hasher)) + registry.register(UPath, UPathSemanticHasher(file_hasher)) + registry.register(UUID, UUIDSemanticHasher()) - # Functions -- register types.FunctionType so MRO lookup works for - # plain ``def`` functions, plus built-in functions and bound methods. import types as _types - function_handler = FunctionHandler(function_info_extractor) - registry.register(_types.FunctionType, function_handler) - registry.register(_types.BuiltinFunctionType, function_handler) - registry.register(_types.MethodType, function_handler) + function_hasher = FunctionSemanticHasher(function_info_extractor) + registry.register(_types.FunctionType, function_hasher) + registry.register(_types.BuiltinFunctionType, function_hasher) + registry.register(_types.MethodType, function_hasher) - # type objects (classes used as values, e.g. passed in a dict) - registry.register(type, TypeObjectHandler()) + registry.register(type, TypeObjectSemanticHasher()) + registry.register(_types.UnionType, UnionTypeSemanticHasher()) - # types.UnionType (Python 3.10+ X | Y syntax, e.g. str | None) - registry.register(_types.UnionType, UnionTypeHandler()) - - # generic alias type annotations: dict[int, str], list[str], etc. - generic_alias_handler = GenericAliasHandler() - registry.register(_types.GenericAlias, generic_alias_handler) - # typing._GenericAlias covers Optional[X], Union[X, Y], Dict[K, V], etc. - # typing._SpecialForm covers typing.Union, typing.ClassVar, etc. which - # appear as __origin__ on those generics (e.g. Optional[int].__origin__ - # is typing.Union, a _SpecialForm). + generic_alias_hasher = GenericAliasSemanticHasher() + registry.register(_types.GenericAlias, generic_alias_hasher) try: import typing as _typing - - registry.register(_typing._GenericAlias, generic_alias_handler) # type: ignore[attr-defined] - registry.register(_typing._SpecialForm, SpecialFormHandler()) # type: ignore[attr-defined] + registry.register(_typing._GenericAlias, generic_alias_hasher) # type: ignore[attr-defined] + registry.register(_typing._SpecialForm, SpecialFormSemanticHasher()) # type: ignore[attr-defined] except AttributeError: pass - # Schema objects -- must come after type handler so Schema is matched - # specifically rather than falling through to the Mapping expansion path - registry.register(Schema, SchemaHandler()) + registry.register(Schema, SchemaSemanticHasher()) - # Arrow tables and record batches -- delegate to the injected arrow hasher - import pyarrow as _pa - - arrow_table_handler = ArrowTableHandler(arrow_hasher) - registry.register(_pa.Table, arrow_table_handler) - registry.register(_pa.RecordBatch, arrow_table_handler) + if arrow_hasher is not None: + import pyarrow as _pa + arrow_table_hasher = ArrowTableSemanticHasher(arrow_hasher) + registry.register(_pa.Table, arrow_table_hasher) + registry.register(_pa.RecordBatch, arrow_table_hasher) logger.debug( - "register_builtin_handlers: registered %d built-in handlers", + "register_builtin_python_type_semantic_hashers: registered %d hashers", len(registry), ) From a25da345cc0ddcaabc884aa64214dd751e0d23a8 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 18:08:50 +0000 Subject: [PATCH 180/206] =?UTF-8?q?refactor(semantic=5Fhasher):=20rename?= =?UTF-8?q?=20BaseSemanticHasher=20=E2=86=92=20SemanticAwarePythonHasher,?= =?UTF-8?q?=20simplify=20dispatch?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Also updates defaults.py: replaces get_default_type_handler_registry with get_default_python_type_semantic_hasher_registry to match the new registry API. --- src/orcapod/hashing/defaults.py | 14 +++-- .../semantic_hashing/semantic_hasher.py | 57 ++++++++++--------- 2 files changed, 37 insertions(+), 34 deletions(-) diff --git a/src/orcapod/hashing/defaults.py b/src/orcapod/hashing/defaults.py index d00e0e3a..0082c453 100644 --- a/src/orcapod/hashing/defaults.py +++ b/src/orcapod/hashing/defaults.py @@ -10,22 +10,24 @@ # from its JSON spec. Constructing them here would bypass versioning and # produce hashers that are decoupled from the active data context. -from orcapod.hashing.semantic_hashing.type_handler_registry import TypeHandlerRegistry +from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeSemanticHasherRegistry from orcapod.protocols import hashing_protocols as hp -def get_default_type_handler_registry() -> TypeHandlerRegistry: +def get_default_python_type_semantic_hasher_registry() -> PythonTypeSemanticHasherRegistry: """ - Return the TypeHandlerRegistry from the default data context's semantic hasher. + Return the ``PythonTypeSemanticHasherRegistry`` from the default data context's + semantic hasher. - The registry is owned by the active ``BaseSemanticHasher``, which is itself + The registry is owned by the active ``SemanticAwarePythonHasher``, which is itself versioned inside the active ``DataContext``. Returns: - TypeHandlerRegistry: The type handler registry from the default data context. + PythonTypeSemanticHasherRegistry: The type semantic hasher registry from the + default data context. """ from orcapod.contexts import get_default_context - return get_default_context().semantic_hasher.type_handler_registry + return get_default_context().semantic_hasher.type_semantic_hasher_registry def get_default_semantic_hasher() -> hp.SemanticHasherProtocol: diff --git a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py index 79714fb8..bcc18b51 100644 --- a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py +++ b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py @@ -1,5 +1,5 @@ """ -BaseSemanticHasher -- content-based recursive object hasher. +SemanticAwarePythonHasher -- content-based recursive object hasher. Algorithm --------- @@ -13,7 +13,7 @@ - Primitive → JSON-serialise + SHA-256 - Structure → delegate to ``_expand_structure``, then JSON-serialise the resulting tagged tree + SHA-256 - - Handler match → call handler.handle(obj), recurse via hash_object + - Semantic hasher match → semantic_hasher.hash(obj, self) returns ContentHash directly - ContentIdentifiableProtocol→ call identity_structure(), recurse via hash_object - Fallback → strict error or best-effort string, then hash @@ -69,7 +69,7 @@ from collections.abc import Callable, Mapping from typing import Any -from orcapod.hashing.semantic_hashing.type_handler_registry import TypeHandlerRegistry +from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeSemanticHasherRegistry from orcapod.protocols import hashing_protocols as hp from orcapod.types import ContentHash @@ -79,7 +79,7 @@ _MEMADDR_RE = re.compile(r" at 0x[0-9a-fA-F]+") -class BaseSemanticHasher: +class SemanticAwarePythonHasher: """ Content-based recursive hasher. @@ -88,9 +88,10 @@ class BaseSemanticHasher: hasher_id: A short string identifying this hasher version/configuration. Embedded in every ContentHash produced. - type_handler_registry: - TypeHandlerRegistry for MRO-aware lookup of TypeHandlerProtocol instances. - If None, the default registry from the active DataContext is used. + type_semantic_hasher_registry: + ``PythonTypeSemanticHasherRegistry`` for MRO-aware lookup of + ``PythonTypeSemanticHasherProtocol`` instances. + If None, the default registry is used. strict: When True (default) raises TypeError for unhandled types. When False falls back to a best-effort string representation. @@ -99,18 +100,17 @@ class BaseSemanticHasher: def __init__( self, hasher_id: str, - type_handler_registry: TypeHandlerRegistry | None = None, + type_semantic_hasher_registry: PythonTypeSemanticHasherRegistry | None = None, strict: bool = True, ) -> None: self._hasher_id = hasher_id self._strict = strict - if type_handler_registry is None: - from orcapod.hashing.defaults import get_default_type_handler_registry - - self._registry = get_default_type_handler_registry() # stays in hashing/ + if type_semantic_hasher_registry is None: + from orcapod.hashing.defaults import get_default_python_type_semantic_hasher_registry + self._registry = get_default_python_type_semantic_hasher_registry() else: - self._registry = type_handler_registry + self._registry = type_semantic_hasher_registry # ------------------------------------------------------------------ # Public API @@ -125,8 +125,8 @@ def strict(self) -> bool: return self._strict @property - def type_handler_registry(self) -> TypeHandlerRegistry: - """Return the ``TypeHandlerRegistry`` used by this hasher.""" + def type_semantic_hasher_registry(self) -> PythonTypeSemanticHasherRegistry: + """Return the ``PythonTypeSemanticHasherRegistry`` used by this hasher.""" return self._registry def hash_object( @@ -143,7 +143,7 @@ def hash_object( - ContentHash → terminal; returned as-is - Primitive → JSON-serialised and hashed directly - Structure → structurally expanded then hashed - - Handler match → handler produces a value, recurse + - Semantic hasher match → semantic_hasher.hash(obj, self) returns ContentHash directly - ContentIdentifiableProtocol→ resolver(obj) if resolver provided, else obj.content_hash() - Unknown type → TypeError in strict mode; best-effort otherwise @@ -174,15 +174,15 @@ def hash_object( ) return self._hash_to_content_hash(expanded) - # Handler dispatch: the handler produces a new value; recurse. - handler = self._registry.get_handler(obj) - if handler is not None: + # Semantic hasher dispatch: the hasher produces a ContentHash directly. + semantic_hasher = self._registry.get_semantic_hasher(obj) + if semantic_hasher is not None: logger.debug( - "hash_object: dispatching %s to handler %s", + "hash_object: dispatching %s to semantic hasher %s", type(obj).__name__, - type(handler).__name__, + type(semantic_hasher).__name__, ) - return self.hash_object(handler.handle(obj, self), resolver=resolver) + return semantic_hasher.hash(obj, self) # ContentIdentifiableProtocol: use resolver if provided, else content_hash(). if isinstance(obj, hp.ContentIdentifiableProtocol): @@ -359,9 +359,9 @@ def _hash_to_content_hash(self, obj: Any) -> ContentHash: ).encode("utf-8") except (TypeError, ValueError) as exc: raise TypeError( - f"BaseSemanticHasher: failed to JSON-serialise object of type " - f"{type(obj).__name__!r}. Ensure all TypeHandlers and " - "identity_structure() implementations return JSON-serialisable " + f"SemanticAwarePythonHasher: failed to JSON-serialise object of type " + f"{type(obj).__name__!r}. Ensure all PythonTypeSemanticHasherProtocol " + "implementations and identity_structure() return JSON-serialisable " "primitives or structures." ) from exc @@ -383,9 +383,10 @@ def _handle_unknown(self, obj: Any) -> str: if self._strict: raise TypeError( - f"BaseSemanticHasher (strict): no TypeHandlerProtocol registered for type " - f"'{qualified}' and it does not implement ContentIdentifiableProtocol. " - "Register a TypeHandlerProtocol via the TypeHandlerRegistry or implement " + f"SemanticAwarePythonHasher (strict): no PythonTypeSemanticHasherProtocol " + f"registered for type '{qualified}' and it does not implement " + "ContentIdentifiableProtocol. Register a PythonTypeSemanticHasherProtocol " + "via the PythonTypeSemanticHasherRegistry or implement " "identity_structure() on the class." ) From 822a84a2f4dc5b1a06beeead08bb08805bac8033 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 18:14:09 +0000 Subject: [PATCH 181/206] =?UTF-8?q?refactor:=20update=20BaseSemanticHasher?= =?UTF-8?q?=20=E2=86=92=20SemanticAwarePythonHasher=20refs=20in=20mixin=20?= =?UTF-8?q?and=20core?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- src/orcapod/contexts/core.py | 4 +-- .../content_identifiable_mixin.py | 25 +++++++++---------- 2 files changed, 14 insertions(+), 15 deletions(-) diff --git a/src/orcapod/contexts/core.py b/src/orcapod/contexts/core.py index c02dc985..6b4aa2ca 100644 --- a/src/orcapod/contexts/core.py +++ b/src/orcapod/contexts/core.py @@ -21,8 +21,8 @@ class DataContext: registration. This is the single public API for all type operations. arrow_hasher: Arrow table hasher for this context semantic_hasher: General semantic hasher for this context. The - ``TypeHandlerRegistry`` used for hashing is accessible via - ``semantic_hasher.type_handler_registry``. + ``PythonTypeSemanticHasherRegistry`` used for hashing is accessible via + ``semantic_hasher.type_semantic_hasher_registry``. """ context_key: str diff --git a/src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py b/src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py index f4bd04ce..effa94ad 100644 --- a/src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py +++ b/src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py @@ -3,14 +3,14 @@ Any class that implements ``identity_structure()`` can inherit from this mixin to gain a full suite of content-based identity helpers without having to wire -up a BaseSemanticHasher manually: +up a ``SemanticAwarePythonHasher`` manually: - ``content_hash()`` -- returns a stable ContentHash for the object - ``__hash__()`` -- Python hash based on content (int) - ``__eq__()`` -- equality via content_hash comparison -The mixin uses the global default BaseSemanticHasher by default, but accepts an -injected hasher for testing or custom configurations. +The mixin uses the global default ``SemanticAwarePythonHasher`` by default, but +accepts an injected hasher for testing or custom configurations. Usage ----- @@ -32,7 +32,7 @@ def identity_structure(self): With an injected hasher (e.g. in tests):: - hasher = BaseSemanticHasher(hasher_id="test", strict=True) + hasher = SemanticAwarePythonHasher(hasher_id="test", strict=True) record = MyRecord("foo", 42) record._semantic_hasher = hasher print(record.content_hash()) @@ -65,7 +65,7 @@ def identity_structure(self): import logging from typing import Any -from orcapod.hashing.semantic_hashing.semantic_hasher import BaseSemanticHasher +from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher from orcapod.types import ContentHash logger = logging.getLogger(__name__) @@ -82,19 +82,19 @@ def identity_structure(self) -> Any: ... The returned structure is recursively resolved and hashed by the - BaseSemanticHasher to produce a stable ContentHash. + ``SemanticAwarePythonHasher`` to produce a stable ContentHash. Parameters (passed as keyword arguments to ``__init__``) --------------------------------------------------------- semantic_hasher: - Optional BaseSemanticHasher instance to use. When omitted, the hasher - is obtained from the default data context via + Optional ``SemanticAwarePythonHasher`` instance to use. When omitted, + the hasher is obtained from the default data context via ``orcapod.contexts.get_default_context().semantic_hasher``, which is the single source of truth for versioned component configuration. """ def __init__( - self, *, semantic_hasher: BaseSemanticHasher | None = None, **kwargs: Any + self, *, semantic_hasher: SemanticAwarePythonHasher | None = None, **kwargs: Any ) -> None: # Cooperative MRO-friendly init -- forward remaining kwargs up the chain. super().__init__(**kwargs) @@ -215,9 +215,8 @@ def _invalidate_content_hash_cache(self) -> None: # Hasher resolution # ------------------------------------------------------------------ - def _get_hasher(self) -> BaseSemanticHasher: - """ - Return the BaseSemanticHasher to use for this object. + def _get_hasher(self) -> SemanticAwarePythonHasher: + """Return the ``SemanticAwarePythonHasher`` to use for this object. Resolution order: 1. The instance-level ``_semantic_hasher`` attribute (set at @@ -230,7 +229,7 @@ def _get_hasher(self) -> BaseSemanticHasher: type converter, etc.) that belong to the same context. Returns: - BaseSemanticHasher: The hasher to use. + SemanticAwarePythonHasher: The hasher to use. """ if self._semantic_hasher is not None: return self._semantic_hasher From 193cd8a70903a0b2c6c329b58082305f7dcdbe90 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 18:15:01 +0000 Subject: [PATCH 182/206] refactor(hashing): update __init__.py exports and versioned_hashers for rename --- src/orcapod/hashing/__init__.py | 125 +++++++----------- .../hashing/semantic_hashing/__init__.py | 67 +++++----- src/orcapod/hashing/versioned_hashers.py | 42 ++---- 3 files changed, 90 insertions(+), 144 deletions(-) diff --git a/src/orcapod/hashing/__init__.py b/src/orcapod/hashing/__init__.py index 8055509b..ceb0b059 100644 --- a/src/orcapod/hashing/__init__.py +++ b/src/orcapod/hashing/__init__.py @@ -3,23 +3,20 @@ Public API ---------- - BaseSemanticHasher -- content-based recursive object hasher (concrete) - SemanticHasherProtocol -- protocol for semantic hashers - TypeHandlerRegistry -- registry mapping types to TypeHandlerProtocol instances - get_default_semantic_hasher -- global default SemanticHasherProtocol factory - get_default_type_handler_registry -- global default TypeHandlerRegistry factory - ContentIdentifiableMixin -- convenience mixin for content-identifiable objects + SemanticAwarePythonHasher -- content-based recursive object hasher + SemanticHasherProtocol -- protocol for semantic hashers + PythonTypeSemanticHasherRegistry -- registry mapping types to PythonTypeSemanticHasherProtocol instances + get_default_semantic_hasher -- global default SemanticHasherProtocol factory + get_default_python_type_semantic_hasher_registry -- global default registry factory + ContentIdentifiableMixin -- convenience mixin for content-identifiable objects -Built-in handlers (importable for custom registry setup): - PathContentHandler - UUIDHandler - BytesHandler - FunctionHandler - TypeObjectHandler - register_builtin_handlers - -Legacy names (kept for backward compatibility): - HashableMixin -- legacy mixin from legacy_core (deprecated) +Built-in hashers (importable for custom registry setup): + PathSemanticHasher + UUIDSemanticHasher + BytesSemanticHasher + FunctionSemanticHasher + TypeObjectSemanticHasher + register_builtin_python_type_semantic_hashers Utility: FileContentHasherProtocol @@ -28,41 +25,40 @@ ArrowHasherProtocol """ -# --------------------------------------------------------------------------- -# New API -- SemanticHasherProtocol, registry, mixin -# --------------------------------------------------------------------------- - -# --------------------------------------------------------------------------- -# Default hasher factories -# --------------------------------------------------------------------------- from orcapod.hashing.defaults import ( get_default_arrow_hasher, + get_default_python_type_semantic_hasher_registry, get_default_semantic_hasher, - get_default_type_handler_registry, ) - -# --------------------------------------------------------------------------- -# File hashing utilities -# --------------------------------------------------------------------------- from orcapod.hashing.file_hashers import BasicFileHasher, CachedFileHasher from orcapod.hashing.hash_utils import hash_file from orcapod.hashing.semantic_hashing.builtin_handlers import ( - BytesHandler, - FunctionHandler, - PathContentHandler, - TypeObjectHandler, - UUIDHandler, - register_builtin_handlers, + BytesSemanticHasher, + FunctionSemanticHasher, + PathSemanticHasher, + TypeObjectSemanticHasher, + UUIDSemanticHasher, + register_builtin_python_type_semantic_hashers, ) from orcapod.hashing.semantic_hashing.content_identifiable_mixin import ( ContentIdentifiableMixin, ) +from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher +from orcapod.hashing.semantic_hashing.type_handler_registry import ( + BuiltinPythonTypeSemanticHasherRegistry, + PythonTypeSemanticHasherRegistry, +) +from orcapod.protocols.hashing_protocols import ( + ArrowHasherProtocol, + ContentIdentifiableProtocol, + FileContentHasherProtocol, + FunctionInfoExtractorProtocol, + PythonTypeSemanticHasherProtocol, + SemanticHasherProtocol, + SemanticTypeHasherProtocol, + StringCacherProtocol, +) -# --------------------------------------------------------------------------- -# Legacy API (deprecated -- kept for backward compatibility) -# These imports are guarded because legacy_core.py has pre-existing import -# issues (e.g. references to removed types) that should not block the new API. -# --------------------------------------------------------------------------- try: from orcapod.hashing.legacy_core import ( HashableMixin, @@ -85,60 +81,31 @@ hash_to_hex = None # type: ignore[assignment] hash_to_int = None # type: ignore[assignment] hash_to_uuid = None # type: ignore[assignment] -from orcapod.hashing.semantic_hashing.semantic_hasher import BaseSemanticHasher -from orcapod.hashing.semantic_hashing.type_handler_registry import ( - BuiltinTypeHandlerRegistry, - TypeHandlerRegistry, -) - -# --------------------------------------------------------------------------- -# Protocols (re-exported for convenience) -# --------------------------------------------------------------------------- -from orcapod.protocols.hashing_protocols import ( - ArrowHasherProtocol, - ContentIdentifiableProtocol, - FileContentHasherProtocol, - FunctionInfoExtractorProtocol, - SemanticHasherProtocol, - SemanticTypeHasherProtocol, - StringCacherProtocol, - TypeHandlerProtocol, -) - -# --------------------------------------------------------------------------- -# __all__ -- defines the public surface of this package -# --------------------------------------------------------------------------- __all__ = [ - # ---- New API: concrete implementation ---- - "BaseSemanticHasher", - "TypeHandlerRegistry", - "BuiltinTypeHandlerRegistry", - "get_default_type_handler_registry", + "SemanticAwarePythonHasher", + "PythonTypeSemanticHasherRegistry", + "BuiltinPythonTypeSemanticHasherRegistry", + "get_default_python_type_semantic_hasher_registry", "get_default_semantic_hasher", "ContentIdentifiableMixin", - # Built-in handlers - "PathContentHandler", - "UUIDHandler", - "BytesHandler", - "FunctionHandler", - "TypeObjectHandler", - "register_builtin_handlers", - # ---- Protocols ---- + "PathSemanticHasher", + "UUIDSemanticHasher", + "BytesSemanticHasher", + "FunctionSemanticHasher", + "TypeObjectSemanticHasher", + "register_builtin_python_type_semantic_hashers", "SemanticHasherProtocol", "ContentIdentifiableProtocol", - "TypeHandlerProtocol", + "PythonTypeSemanticHasherProtocol", "FileContentHasherProtocol", "ArrowHasherProtocol", "StringCacherProtocol", "FunctionInfoExtractorProtocol", "SemanticTypeHasherProtocol", - # ---- File hashing ---- "BasicFileHasher", "CachedFileHasher", "hash_file", - # ---- Legacy / backward-compatible ---- - # TODO: remove legacy section "get_default_arrow_hasher", "HashableMixin", "hash_to_hex", diff --git a/src/orcapod/hashing/semantic_hashing/__init__.py b/src/orcapod/hashing/semantic_hashing/__init__.py index bc120c18..db0eb765 100644 --- a/src/orcapod/hashing/semantic_hashing/__init__.py +++ b/src/orcapod/hashing/semantic_hashing/__init__.py @@ -1,34 +1,32 @@ """ orcapod.hashing.semantic_hashing ================================= -Sub-package containing all components of the semantic hashing system: + SemanticAwarePythonHasher -- content-based recursive object hasher + PythonTypeSemanticHasherRegistry -- MRO-aware registry mapping types → PythonTypeSemanticHasherProtocol + BuiltinPythonTypeSemanticHasherRegistry -- pre-populated registry with built-in hashers + ContentIdentifiableMixin -- convenience mixin for content-identifiable objects - BaseSemanticHasher -- content-based recursive object hasher - TypeHandlerRegistry -- MRO-aware registry mapping types → TypeHandlerProtocol - BuiltinTypeHandlerRegistry -- pre-populated registry with built-in handlers - ContentIdentifiableMixin -- convenience mixin for content-identifiable objects +Built-in PythonTypeSemanticHasherProtocol implementations: + PathSemanticHasher -- pathlib.Path → file-content hash + UUIDSemanticHasher -- uuid.UUID → canonical bytes + BytesSemanticHasher -- bytes/bytearray → hex string + FunctionSemanticHasher -- callable → via FunctionInfoExtractorProtocol + TypeObjectSemanticHasher -- type objects → "type:." + register_builtin_python_type_semantic_hashers -- populate a registry with all of the above -Built-in TypeHandlerProtocol implementations: - PathContentHandler -- pathlib.Path → file-content hash - UUIDHandler -- uuid.UUID → canonical string - BytesHandler -- bytes/bytearray → hex string - FunctionHandler -- callable → via FunctionInfoExtractorProtocol - TypeObjectHandler -- type objects → "type:." - register_builtin_handlers -- populate a registry with all of the above - -Function info extractors (used by FunctionHandler): +Function info extractors (used by FunctionSemanticHasher): FunctionNameExtractor FunctionSignatureExtractor FunctionInfoExtractorFactory """ from orcapod.hashing.semantic_hashing.builtin_handlers import ( - BytesHandler, - FunctionHandler, - PathContentHandler, - TypeObjectHandler, - UUIDHandler, - register_builtin_handlers, + BytesSemanticHasher, + FunctionSemanticHasher, + PathSemanticHasher, + TypeObjectSemanticHasher, + UUIDSemanticHasher, + register_builtin_python_type_semantic_hashers, ) from orcapod.hashing.semantic_hashing.content_identifiable_mixin import ( ContentIdentifiableMixin, @@ -38,28 +36,23 @@ FunctionNameExtractor, FunctionSignatureExtractor, ) -from orcapod.hashing.semantic_hashing.semantic_hasher import BaseSemanticHasher +from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher from orcapod.hashing.semantic_hashing.type_handler_registry import ( - BuiltinTypeHandlerRegistry, - TypeHandlerRegistry, + BuiltinPythonTypeSemanticHasherRegistry, + PythonTypeSemanticHasherRegistry, ) __all__ = [ - # Core hasher - "BaseSemanticHasher", - # Registry - "TypeHandlerRegistry", - "BuiltinTypeHandlerRegistry", - # Mixin + "SemanticAwarePythonHasher", + "PythonTypeSemanticHasherRegistry", + "BuiltinPythonTypeSemanticHasherRegistry", "ContentIdentifiableMixin", - # Built-in handlers - "PathContentHandler", - "UUIDHandler", - "BytesHandler", - "FunctionHandler", - "TypeObjectHandler", - "register_builtin_handlers", - # Function info extractors + "PathSemanticHasher", + "UUIDSemanticHasher", + "BytesSemanticHasher", + "FunctionSemanticHasher", + "TypeObjectSemanticHasher", + "register_builtin_python_type_semantic_hashers", "FunctionNameExtractor", "FunctionSignatureExtractor", "FunctionInfoExtractorFactory", diff --git a/src/orcapod/hashing/versioned_hashers.py b/src/orcapod/hashing/versioned_hashers.py index 1e7b7255..b12bd2d3 100644 --- a/src/orcapod/hashing/versioned_hashers.py +++ b/src/orcapod/hashing/versioned_hashers.py @@ -49,52 +49,38 @@ def get_versioned_semantic_hasher( hasher_id: str = _CURRENT_SEMANTIC_HASHER_ID, strict: bool = True, - type_handler_registry: "hp.TypeHandlerRegistry | None" = None, # type: ignore[name-defined] + type_semantic_hasher_registry: "Any | None" = None, ) -> hp.SemanticHasherProtocol: - """ - Return a SemanticHasherProtocol configured for the current version. - - The returned hasher uses the global default TypeHandlerRegistry (which - is pre-populated with all built-in handlers) unless an explicit registry - is supplied. + """Return a SemanticAwarePythonHasher configured for the current version. Parameters ---------- hasher_id: Identifier embedded in every ContentHash produced by this hasher. - Defaults to the current version constant. Override only when - producing hashes that must be tagged with a specific version string. strict: - When True (the default) the hasher raises TypeError on encountering - an object of an unhandled type. When False it falls back to a - best-effort string representation with a logged warning. - type_handler_registry: - Optional TypeHandlerRegistry to inject. When None the global - default registry is used (recommended for production code). - - Returns - ------- - SemanticHasherProtocol - A fully configured SemanticHasherProtocol instance. + When True raises TypeError for unhandled types. When False falls back + to a best-effort string representation. + type_semantic_hasher_registry: + Optional ``PythonTypeSemanticHasherRegistry`` to inject. When None the + global default registry is used. """ - from orcapod.hashing.semantic_hashing.semantic_hasher import BaseSemanticHasher + from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher - if type_handler_registry is None: + if type_semantic_hasher_registry is None: from orcapod.hashing.semantic_hashing.type_handler_registry import ( - get_default_type_handler_registry, + get_default_python_type_semantic_hasher_registry, ) - - type_handler_registry = get_default_type_handler_registry() + type_semantic_hasher_registry = get_default_python_type_semantic_hasher_registry() logger.debug( - "get_versioned_semantic_hasher: creating BaseSemanticHasher " + "get_versioned_semantic_hasher: creating SemanticAwarePythonHasher " "(hasher_id=%r, strict=%r)", hasher_id, strict, ) - return BaseSemanticHasher( + return SemanticAwarePythonHasher( hasher_id=hasher_id, - type_handler_registry=type_handler_registry, + type_semantic_hasher_registry=type_semantic_hasher_registry, strict=strict, ) From d7575fb5f2c68a645c28153054031a83e9d70045 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 18:16:25 +0000 Subject: [PATCH 183/206] refactor(contexts): update v0.1.json context spec to use renamed class names --- src/orcapod/contexts/data/v0.1.json | 36 ++++++++++++++--------------- 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/src/orcapod/contexts/data/v0.1.json b/src/orcapod/contexts/data/v0.1.json index de52d5bf..9555b823 100644 --- a/src/orcapod/contexts/data/v0.1.json +++ b/src/orcapod/contexts/data/v0.1.json @@ -86,32 +86,32 @@ } }, "type_handler_registry": { - "_class": "orcapod.hashing.semantic_hashing.type_handler_registry.TypeHandlerRegistry", + "_class": "orcapod.hashing.semantic_hashing.type_handler_registry.PythonTypeSemanticHasherRegistry", "_config": { "handlers": [ - [{"_type": "builtins.bytes"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesHandler", "_config": {}}], - [{"_type": "builtins.bytearray"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesHandler", "_config": {}}], - [{"_type": "pathlib.Path"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.PathContentHandler", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], - [{"_type": "upath.core.UPath"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UPathContentHandler", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], - [{"_type": "uuid.UUID"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UUIDHandler", "_config": {}}], - [{"_type": "types.FunctionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionHandler", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], - [{"_type": "types.BuiltinFunctionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionHandler", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], - [{"_type": "types.MethodType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionHandler", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], - [{"_type": "builtins.type"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.TypeObjectHandler", "_config": {}}], - [{"_type": "types.GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasHandler", "_config": {}}], - [{"_type": "types.UnionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UnionTypeHandler", "_config": {}}], - [{"_type": "typing._GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasHandler", "_config": {}}], - [{"_type": "typing._SpecialForm"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.SpecialFormHandler", "_config": {}}], - [{"_type": "pyarrow.Table"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.ArrowTableHandler", "_config": {"arrow_hasher": {"_ref": "arrow_hasher"}}}], - [{"_type": "pyarrow.RecordBatch"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.ArrowTableHandler", "_config": {"arrow_hasher": {"_ref": "arrow_hasher"}}}] + [{"_type": "builtins.bytes"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesSemanticHasher", "_config": {}}], + [{"_type": "builtins.bytearray"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesSemanticHasher", "_config": {}}], + [{"_type": "pathlib.Path"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.PathSemanticHasher", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], + [{"_type": "upath.core.UPath"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UPathSemanticHasher", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], + [{"_type": "uuid.UUID"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UUIDSemanticHasher", "_config": {}}], + [{"_type": "types.FunctionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionSemanticHasher", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "types.BuiltinFunctionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionSemanticHasher", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "types.MethodType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionSemanticHasher", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "builtins.type"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.TypeObjectSemanticHasher", "_config": {}}], + [{"_type": "types.GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasSemanticHasher", "_config": {}}], + [{"_type": "types.UnionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UnionTypeSemanticHasher", "_config": {}}], + [{"_type": "typing._GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasSemanticHasher", "_config": {}}], + [{"_type": "typing._SpecialForm"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.SpecialFormSemanticHasher", "_config": {}}], + [{"_type": "pyarrow.Table"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.ArrowTableSemanticHasher", "_config": {"arrow_hasher": {"_ref": "arrow_hasher"}}}], + [{"_type": "pyarrow.RecordBatch"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.ArrowTableSemanticHasher", "_config": {"arrow_hasher": {"_ref": "arrow_hasher"}}}] ] } }, "semantic_hasher": { - "_class": "orcapod.hashing.semantic_hashing.semantic_hasher.BaseSemanticHasher", + "_class": "orcapod.hashing.semantic_hashing.semantic_hasher.SemanticAwarePythonHasher", "_config": { "hasher_id": "semantic_v0.1", - "type_handler_registry": { + "type_semantic_hasher_registry": { "_ref": "type_handler_registry" } } From 068cb00b425d4fea42116868710613c1840c48c4 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 18:21:39 +0000 Subject: [PATCH 184/206] refactor(tests): update hashing tests for renamed classes and methods --- .../test_file_hashing_consistency.py | 20 +- tests/test_hashing/test_semantic_hasher.py | 254 +++++++++--------- tests/test_hashing/test_uuid_handler.py | 53 ++-- 3 files changed, 174 insertions(+), 153 deletions(-) diff --git a/tests/test_hashing/test_file_hashing_consistency.py b/tests/test_hashing/test_file_hashing_consistency.py index e5bd4bbf..70412e9d 100644 --- a/tests/test_hashing/test_file_hashing_consistency.py +++ b/tests/test_hashing/test_file_hashing_consistency.py @@ -3,8 +3,8 @@ 1. **Arrow hasher path**: SemanticArrowHasher processes an Arrow table containing a path struct column → calls PythonPathStructConverter.hash_struct_dict → file_hasher. -2. **Semantic hasher path**: BaseSemanticHasher hashes a Python Path object → - calls PathContentHandler.handle → file_hasher. +2. **Semantic hasher path**: SemanticAwarePythonHasher hashes a Python Path object → + calls PathSemanticHasher.handle → file_hasher. Both paths must delegate to the same FileContentHasherProtocol so that identical file content always produces identical hashes, regardless of entry point. @@ -18,10 +18,10 @@ from orcapod.hashing.arrow_hashers import SemanticArrowHasher from orcapod.hashing.file_hashers import BasicFileHasher from orcapod.hashing.semantic_hashing.builtin_handlers import ( - register_builtin_handlers, + register_builtin_python_type_semantic_hashers, ) -from orcapod.hashing.semantic_hashing.semantic_hasher import BaseSemanticHasher -from orcapod.hashing.semantic_hashing.type_handler_registry import TypeHandlerRegistry +from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher +from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeSemanticHasherRegistry from orcapod.semantic_types.semantic_registry import SemanticTypeRegistry from orcapod.semantic_types.semantic_struct_converters import PythonPathStructConverter @@ -52,11 +52,11 @@ def arrow_hasher(path_converter): @pytest.fixture def semantic_hasher(file_hasher): - """BaseSemanticHasher wired with the shared file_hasher via PathContentHandler.""" - registry = TypeHandlerRegistry() - register_builtin_handlers(registry, file_hasher=file_hasher) - return BaseSemanticHasher( - hasher_id="test_v1", type_handler_registry=registry, strict=True + """SemanticAwarePythonHasher wired with the shared file_hasher via PathSemanticHasher.""" + registry = PythonTypeSemanticHasherRegistry() + register_builtin_python_type_semantic_hashers(registry, file_hasher=file_hasher) + return SemanticAwarePythonHasher( + hasher_id="test_v1", type_semantic_hasher_registry=registry, strict=True ) diff --git a/tests/test_hashing/test_semantic_hasher.py b/tests/test_hashing/test_semantic_hasher.py index b2719b4a..873db99f 100644 --- a/tests/test_hashing/test_semantic_hasher.py +++ b/tests/test_hashing/test_semantic_hasher.py @@ -1,17 +1,17 @@ """ -Comprehensive test suite for the BaseSemanticHasher system. +Comprehensive test suite for the SemanticAwarePythonHasher system. Covers: - - BaseSemanticHasher: primitives, container type-tagging, determinism, + - SemanticAwarePythonHasher: primitives, container type-tagging, determinism, circular references, strict vs non-strict mode - ContentIdentifiableProtocol protocol: independent hashing, composability - - TypeHandlerRegistry: registration, MRO-aware lookup, unregister - - Built-in handlers: bytes, UUID, Path, functions, type objects + - PythonTypeSemanticHasherRegistry: registration, MRO-aware lookup, unregister + - Built-in hashers: bytes, UUID, Path, functions, type objects - ContentHash as terminal: returned as-is without re-hashing - ContentIdentifiableMixin: content_hash, __eq__, __hash__, caching, cache invalidation, injectable hasher - - Custom type handler registration and extension - - get_default_semantic_hasher / get_default_type_handler_registry + - Custom type hasher registration and extension + - get_default_semantic_hasher / get_default_python_type_semantic_hasher_registry """ from __future__ import annotations @@ -27,17 +27,19 @@ import pytest from orcapod.hashing.defaults import get_default_semantic_hasher -from orcapod.hashing.semantic_hashing.builtin_handlers import register_builtin_handlers +from orcapod.hashing.semantic_hashing.builtin_handlers import ( + register_builtin_python_type_semantic_hashers, +) from orcapod.hashing.semantic_hashing.content_identifiable_mixin import ( ContentIdentifiableMixin, ) from orcapod.hashing.semantic_hashing.semantic_hasher import ( - BaseSemanticHasher, + SemanticAwarePythonHasher, _is_namedtuple, ) from orcapod.hashing.semantic_hashing.type_handler_registry import ( - TypeHandlerRegistry, - get_default_type_handler_registry, + PythonTypeSemanticHasherRegistry, + get_default_python_type_semantic_hasher_registry, ) from orcapod.types import ContentHash @@ -46,22 +48,22 @@ # --------------------------------------------------------------------------- -def make_hasher(strict: bool = True) -> BaseSemanticHasher: - """Create a fresh BaseSemanticHasher with an isolated registry.""" - registry = TypeHandlerRegistry() - register_builtin_handlers(registry) - return BaseSemanticHasher( - hasher_id="test_v1", type_handler_registry=registry, strict=strict +def make_hasher(strict: bool = True) -> SemanticAwarePythonHasher: + """Create a fresh SemanticAwarePythonHasher with an isolated registry.""" + registry = PythonTypeSemanticHasherRegistry() + register_builtin_python_type_semantic_hashers(registry) + return SemanticAwarePythonHasher( + hasher_id="test_v1", type_semantic_hasher_registry=registry, strict=strict ) @pytest.fixture -def hasher() -> BaseSemanticHasher: +def hasher() -> SemanticAwarePythonHasher: return make_hasher(strict=True) @pytest.fixture -def lenient_hasher() -> BaseSemanticHasher: +def lenient_hasher() -> SemanticAwarePythonHasher: return make_hasher(strict=False) @@ -108,7 +110,7 @@ def identity_structure(self) -> Any: # --------------------------------------------------------------------------- -# 1. BaseSemanticHasher: primitives +# 1. SemanticAwarePythonHasher: primitives # --------------------------------------------------------------------------- @@ -152,7 +154,7 @@ def test_same_primitive_same_hash(self, hasher): # --------------------------------------------------------------------------- -# 2. BaseSemanticHasher: container type-tagging and determinism +# 2. SemanticAwarePythonHasher: container type-tagging and determinism # --------------------------------------------------------------------------- @@ -213,7 +215,7 @@ def test_hash_returns_content_hash(self, hasher): # --------------------------------------------------------------------------- -# 3. BaseSemanticHasher: namedtuples +# 3. SemanticAwarePythonHasher: namedtuples # --------------------------------------------------------------------------- @@ -249,7 +251,7 @@ def test_is_namedtuple_helper(self): # --------------------------------------------------------------------------- -# 4. BaseSemanticHasher: circular references +# 4. SemanticAwarePythonHasher: circular references # --------------------------------------------------------------------------- @@ -284,7 +286,7 @@ def test_circular_differs_from_non_circular(self, hasher): # --------------------------------------------------------------------------- -# 5. BaseSemanticHasher: strict vs non-strict mode +# 5. SemanticAwarePythonHasher: strict vs non-strict mode # --------------------------------------------------------------------------- @@ -297,7 +299,7 @@ def __init__(self, x: int) -> None: class TestStrictMode: def test_strict_raises_on_unknown_type(self, hasher): - with pytest.raises(TypeError, match="no TypeHandlerProtocol registered"): + with pytest.raises(TypeError, match="no PythonTypeSemanticHasherProtocol registered"): hasher.hash_object(Unhandled(1)) def test_non_strict_returns_content_hash(self, lenient_hasher): @@ -310,8 +312,8 @@ def test_non_strict_same_object_same_hash(self, lenient_hasher): assert h1 == h2 def test_strict_mode_flag(self): - strict = BaseSemanticHasher(hasher_id="s", strict=True) - lenient = BaseSemanticHasher(hasher_id="s", strict=False) + strict = SemanticAwarePythonHasher(hasher_id="s", strict=True) + lenient = SemanticAwarePythonHasher(hasher_id="s", strict=False) assert strict.strict is True assert lenient.strict is False @@ -795,7 +797,7 @@ def test_usable_in_set(self, hasher): assert len(s) == 2 def test_injectable_hasher(self): - custom_hasher = BaseSemanticHasher(hasher_id="injected_v9") + custom_hasher = SemanticAwarePythonHasher(hasher_id="injected_v9") rec = SimpleRecord("foo", 1, semantic_hasher=custom_hasher) assert rec.content_hash().method == "injected_v9" @@ -820,7 +822,7 @@ def test_repr_includes_hash(self, hasher): # --------------------------------------------------------------------------- -# 14. TypeHandlerRegistry +# 14. PythonTypeSemanticHasherRegistry # --------------------------------------------------------------------------- @@ -828,7 +830,7 @@ class _DummyHandler: def __init__(self, tag: str) -> None: self.tag = tag - def handle(self, obj: Any, hasher: Any) -> Any: + def hash(self, obj: Any, hasher: Any) -> Any: return f"{self.tag}:{obj}" @@ -844,78 +846,78 @@ class GrandChild(Child): pass -class TestTypeHandlerRegistry: +class TestPythonTypeSemanticHasherRegistry: def test_register_and_get_exact(self): - reg = TypeHandlerRegistry() + reg = PythonTypeSemanticHasherRegistry() h = _DummyHandler("base") reg.register(Base, h) - assert reg.get_handler(Base()) is h + assert reg.get_semantic_hasher(Base()) is h def test_mro_lookup_child(self): - reg = TypeHandlerRegistry() + reg = PythonTypeSemanticHasherRegistry() h = _DummyHandler("base") reg.register(Base, h) - assert reg.get_handler(Child()) is h + assert reg.get_semantic_hasher(Child()) is h def test_mro_lookup_grandchild(self): - reg = TypeHandlerRegistry() + reg = PythonTypeSemanticHasherRegistry() h = _DummyHandler("base") reg.register(Base, h) - assert reg.get_handler(GrandChild()) is h + assert reg.get_semantic_hasher(GrandChild()) is h def test_more_specific_handler_wins(self): - reg = TypeHandlerRegistry() + reg = PythonTypeSemanticHasherRegistry() h_base = _DummyHandler("base") h_child = _DummyHandler("child") reg.register(Base, h_base) reg.register(Child, h_child) - assert reg.get_handler(Child()) is h_child - assert reg.get_handler(GrandChild()) is h_child + assert reg.get_semantic_hasher(Child()) is h_child + assert reg.get_semantic_hasher(GrandChild()) is h_child def test_unregistered_returns_none(self): - reg = TypeHandlerRegistry() - assert reg.get_handler(Base()) is None + reg = PythonTypeSemanticHasherRegistry() + assert reg.get_semantic_hasher(Base()) is None def test_unregister_removes_handler(self): - reg = TypeHandlerRegistry() + reg = PythonTypeSemanticHasherRegistry() h = _DummyHandler("base") reg.register(Base, h) assert reg.unregister(Base) is True - assert reg.get_handler(Base()) is None + assert reg.get_semantic_hasher(Base()) is None def test_unregister_nonexistent_returns_false(self): - reg = TypeHandlerRegistry() + reg = PythonTypeSemanticHasherRegistry() assert reg.unregister(Base) is False def test_replace_existing_handler(self): - reg = TypeHandlerRegistry() + reg = PythonTypeSemanticHasherRegistry() h1 = _DummyHandler("first") h2 = _DummyHandler("second") reg.register(Base, h1) reg.register(Base, h2) - assert reg.get_handler(Base()) is h2 + assert reg.get_semantic_hasher(Base()) is h2 def test_register_non_type_raises(self): - reg = TypeHandlerRegistry() + reg = PythonTypeSemanticHasherRegistry() with pytest.raises(TypeError): reg.register("not_a_type", _DummyHandler("x")) # type: ignore[arg-type] def test_has_handler_exact(self): - reg = TypeHandlerRegistry() + reg = PythonTypeSemanticHasherRegistry() reg.register(Base, _DummyHandler("b")) - assert reg.has_handler(Base) is True + assert reg.has_semantic_hasher(Base) is True def test_has_handler_via_mro(self): - reg = TypeHandlerRegistry() + reg = PythonTypeSemanticHasherRegistry() reg.register(Base, _DummyHandler("b")) - assert reg.has_handler(Child) is True + assert reg.has_semantic_hasher(Child) is True def test_has_handler_false(self): - reg = TypeHandlerRegistry() - assert reg.has_handler(Base) is False + reg = PythonTypeSemanticHasherRegistry() + assert reg.has_semantic_hasher(Base) is False def test_registered_types_snapshot(self): - reg = TypeHandlerRegistry() + reg = PythonTypeSemanticHasherRegistry() reg.register(Base, _DummyHandler("b")) reg.register(Child, _DummyHandler("c")) types = reg.registered_types() @@ -923,7 +925,7 @@ def test_registered_types_snapshot(self): assert Child in types def test_len(self): - reg = TypeHandlerRegistry() + reg = PythonTypeSemanticHasherRegistry() assert len(reg) == 0 reg.register(Base, _DummyHandler("b")) assert len(reg) == 1 @@ -931,12 +933,12 @@ def test_len(self): assert len(reg) == 2 def test_get_handler_for_type(self): - reg = TypeHandlerRegistry() + reg = PythonTypeSemanticHasherRegistry() h = _DummyHandler("b") reg.register(Base, h) - assert reg.get_handler_for_type(Base) is h - assert reg.get_handler_for_type(Child) is h # via MRO - assert reg.get_handler_for_type(int) is None + assert reg.get_semantic_hasher_for_type(Base) is h + assert reg.get_semantic_hasher_for_type(Child) is h # via MRO + assert reg.get_semantic_hasher_for_type(int) is None # --------------------------------------------------------------------------- @@ -950,53 +952,53 @@ def __init__(self, degrees: float) -> None: class CelsiusHandler: - def handle(self, obj: Any, hasher: Any) -> Any: - return {"__type__": "Celsius", "degrees": obj.degrees} + def hash(self, obj: Any, hasher: Any) -> ContentHash: + return hasher.hash_object({"__type__": "Celsius", "degrees": obj.degrees}) class TestCustomHandlerRegistration: def test_register_custom_type(self): - registry = TypeHandlerRegistry() - register_builtin_handlers(registry) + registry = PythonTypeSemanticHasherRegistry() + register_builtin_python_type_semantic_hashers(registry) registry.register(Celsius, CelsiusHandler()) - custom_hasher = BaseSemanticHasher( - hasher_id="custom_v1", type_handler_registry=registry, strict=True + custom_hasher = SemanticAwarePythonHasher( + hasher_id="custom_v1", type_semantic_hasher_registry=registry, strict=True ) assert isinstance(custom_hasher.hash_object(Celsius(100.0)), ContentHash) def test_custom_handler_determinism(self): - registry = TypeHandlerRegistry() - register_builtin_handlers(registry) + registry = PythonTypeSemanticHasherRegistry() + register_builtin_python_type_semantic_hashers(registry) registry.register(Celsius, CelsiusHandler()) - custom_hasher = BaseSemanticHasher( - hasher_id="custom_v1", type_handler_registry=registry + custom_hasher = SemanticAwarePythonHasher( + hasher_id="custom_v1", type_semantic_hasher_registry=registry ) h1 = custom_hasher.hash_object(Celsius(37.5)) h2 = custom_hasher.hash_object(Celsius(37.5)) assert h1 == h2 def test_custom_handler_different_values_differ(self): - registry = TypeHandlerRegistry() - register_builtin_handlers(registry) + registry = PythonTypeSemanticHasherRegistry() + register_builtin_python_type_semantic_hashers(registry) registry.register(Celsius, CelsiusHandler()) - custom_hasher = BaseSemanticHasher( - hasher_id="custom_v1", type_handler_registry=registry + custom_hasher = SemanticAwarePythonHasher( + hasher_id="custom_v1", type_semantic_hasher_registry=registry ) assert custom_hasher.hash_object(Celsius(0.0)) != custom_hasher.hash_object( Celsius(100.0) ) def test_unregistered_type_still_strict(self): - hasher = BaseSemanticHasher(hasher_id="strict_v1", strict=True) + hasher = SemanticAwarePythonHasher(hasher_id="strict_v1", strict=True) with pytest.raises(TypeError): hasher.hash_object(Celsius(42.0)) def test_custom_handler_in_nested_structure(self): - registry = TypeHandlerRegistry() - register_builtin_handlers(registry) + registry = PythonTypeSemanticHasherRegistry() + register_builtin_python_type_semantic_hashers(registry) registry.register(Celsius, CelsiusHandler()) - custom_hasher = BaseSemanticHasher( - hasher_id="custom_v1", type_handler_registry=registry + custom_hasher = SemanticAwarePythonHasher( + hasher_id="custom_v1", type_semantic_hasher_registry=registry ) h = custom_hasher.hash_object({"temp": Celsius(36.6), "unit": "C"}) assert isinstance(h, ContentHash) @@ -1005,14 +1007,14 @@ def test_handler_returning_content_hash_is_terminal(self): """A handler that returns a ContentHash must not be re-hashed.""" class DirectHashHandler: - def handle(self, obj: Any, hasher: Any) -> ContentHash: + def hash(self, obj: Any, hasher: Any) -> ContentHash: return ContentHash("direct", b"\xaa" * 32) - registry = TypeHandlerRegistry() - register_builtin_handlers(registry) + registry = PythonTypeSemanticHasherRegistry() + register_builtin_python_type_semantic_hashers(registry) registry.register(Celsius, DirectHashHandler()) - custom_hasher = BaseSemanticHasher( - hasher_id="custom_v1", type_handler_registry=registry + custom_hasher = SemanticAwarePythonHasher( + hasher_id="custom_v1", type_semantic_hasher_registry=registry ) result = custom_hasher.hash_object(Celsius(0.0)) # The ContentHash returned by the handler should come back as-is @@ -1022,11 +1024,11 @@ def test_mro_aware_custom_handler(self): class FancyCelsius(Celsius): pass - registry = TypeHandlerRegistry() - register_builtin_handlers(registry) + registry = PythonTypeSemanticHasherRegistry() + register_builtin_python_type_semantic_hashers(registry) registry.register(Celsius, CelsiusHandler()) - custom_hasher = BaseSemanticHasher( - hasher_id="custom_v1", type_handler_registry=registry + custom_hasher = SemanticAwarePythonHasher( + hasher_id="custom_v1", type_semantic_hasher_registry=registry ) h = custom_hasher.hash_object(FancyCelsius(20.0)) assert isinstance(h, ContentHash) @@ -1039,10 +1041,10 @@ def __init__(self, k: float) -> None: self.k = k class KelvinHandler: - def handle(self, obj: Any, hasher: Any) -> Any: - return {"__type__": "Kelvin", "k": obj.k} + def hash(self, obj: Any, hasher: Any) -> ContentHash: + return hasher.hash_object({"__type__": "Kelvin", "k": obj.k}) - global_registry = get_default_type_handler_registry() + global_registry = get_default_python_type_semantic_hasher_registry() global_registry.register(Kelvin, KelvinHandler()) try: default_hasher = get_default_semantic_hasher() @@ -1058,14 +1060,14 @@ def handle(self, obj: Any, hasher: Any) -> Any: class TestGlobalSingletons: def test_get_default_semantic_hasher_returns_semantic_hasher(self): - assert isinstance(get_default_semantic_hasher(), BaseSemanticHasher) + assert isinstance(get_default_semantic_hasher(), SemanticAwarePythonHasher) def test_get_default_semantic_hasher_has_versioned_id(self): assert get_default_semantic_hasher().hasher_id == "semantic_v0.1" def test_get_default_type_handler_registry_is_singleton(self): - r1 = get_default_type_handler_registry() - r2 = get_default_type_handler_registry() + r1 = get_default_python_type_semantic_hasher_registry() + r2 = get_default_python_type_semantic_hasher_registry() assert r1 is r2 def test_default_registry_has_builtin_handlers(self): @@ -1073,22 +1075,22 @@ def test_default_registry_has_builtin_handlers(self): import typing as _typing - reg = get_default_type_handler_registry() - assert reg.has_handler(bytes) - assert reg.has_handler(bytearray) - assert reg.has_handler(UUID) - assert reg.has_handler(Path) - assert reg.has_handler(_types.FunctionType) - assert reg.has_handler(type) - assert reg.has_handler(_types.GenericAlias) - assert reg.has_handler(_types.UnionType) - assert reg.has_handler(_typing._GenericAlias) # type: ignore[attr-defined] - assert reg.has_handler(_typing._SpecialForm) # type: ignore[attr-defined] + reg = get_default_python_type_semantic_hasher_registry() + assert reg.has_semantic_hasher(bytes) + assert reg.has_semantic_hasher(bytearray) + assert reg.has_semantic_hasher(UUID) + assert reg.has_semantic_hasher(Path) + assert reg.has_semantic_hasher(_types.FunctionType) + assert reg.has_semantic_hasher(type) + assert reg.has_semantic_hasher(_types.GenericAlias) + assert reg.has_semantic_hasher(_types.UnionType) + assert reg.has_semantic_hasher(_typing._GenericAlias) # type: ignore[attr-defined] + assert reg.has_semantic_hasher(_typing._SpecialForm) # type: ignore[attr-defined] def test_default_registry_has_no_content_hash_handler(self): """ContentHash is handled as a terminal -- no registry entry needed.""" - reg = get_default_type_handler_registry() - assert not reg.has_handler(ContentHash) + reg = get_default_python_type_semantic_hasher_registry() + assert not reg.has_semantic_hasher(ContentHash) def test_default_hasher_can_hash_common_types(self): h = get_default_semantic_hasher() @@ -1118,7 +1120,7 @@ def test_content_hash_conversion_methods(self): def _sha256_json(obj: Any, hasher_id: str) -> "ContentHash": - """Manually JSON-serialize *obj* with the same settings as BaseSemanticHasher + """Manually JSON-serialize *obj* with the same settings as SemanticAwarePythonHasher and return the resulting ContentHash.""" json_bytes = json.dumps( obj, @@ -1134,7 +1136,7 @@ class TestJsonNormalizationConsistency: """Verify that hash_object produces hashes identical to directly SHA-256 hashing the canonical tagged-JSON form that _expand_structure produces. - These tests treat BaseSemanticHasher as a black box and anchor its output to + These tests treat SemanticAwarePythonHasher as a black box and anchor its output to a human-verifiable serialization format, ensuring the algorithm is transparent and reproducible without the library. """ @@ -1142,7 +1144,7 @@ class TestJsonNormalizationConsistency: HASHER_ID = "test_v1" @pytest.fixture - def h(self) -> BaseSemanticHasher: + def h(self) -> SemanticAwarePythonHasher: return make_hasher(strict=True) # ------------------------------------------------------------------ @@ -1284,7 +1286,7 @@ def test_no_resolver_uses_obj_content_hash(self): """Without a resolver hash_object returns obj.content_hash() -- using the object's own hasher.""" calling_hasher = make_hasher(strict=True) - obj_hasher = BaseSemanticHasher(hasher_id="obj_hasher_v1") + obj_hasher = SemanticAwarePythonHasher(hasher_id="obj_hasher_v1") rec = SimpleRecord("hello", 1, semantic_hasher=obj_hasher) result = calling_hasher.hash_object(rec) @@ -1294,7 +1296,7 @@ def test_no_resolver_uses_obj_content_hash(self): def test_resolver_overrides_default(self): """When a resolver is provided it takes priority over obj.content_hash().""" calling_hasher = make_hasher(strict=True) - obj_hasher = BaseSemanticHasher(hasher_id="obj_hasher_v1") + obj_hasher = SemanticAwarePythonHasher(hasher_id="obj_hasher_v1") rec = SimpleRecord("hello", 1, semantic_hasher=obj_hasher) # Resolver that uses the calling hasher instead of the object's own hasher @@ -1307,7 +1309,7 @@ def test_resolver_overrides_default(self): def test_resolver_differs_from_no_resolver_when_hashers_differ(self): """When the object's hasher differs from the calling hasher, resolver and no-resolver produce different results.""" - obj_hasher = BaseSemanticHasher(hasher_id="obj_v99") + obj_hasher = SemanticAwarePythonHasher(hasher_id="obj_v99") calling_hasher = make_hasher(strict=True) rec = SimpleRecord("data", 42, semantic_hasher=obj_hasher) @@ -1324,7 +1326,7 @@ def test_resolver_differs_from_no_resolver_when_hashers_differ(self): def test_resolver_propagates_through_list(self): """Resolver is applied to CI objects nested inside a list.""" calling_hasher = make_hasher(strict=True) - obj_hasher = BaseSemanticHasher(hasher_id="inner_v1") + obj_hasher = SemanticAwarePythonHasher(hasher_id="inner_v1") inner = SimpleRecord("inner", 99, semantic_hasher=obj_hasher) # With no resolver the embedded token uses inner's own hasher_id @@ -1344,7 +1346,7 @@ def test_resolver_propagates_through_list(self): def test_resolver_propagates_through_tuple(self): """Resolver is applied to CI objects nested inside a tuple.""" calling_hasher = make_hasher(strict=True) - obj_hasher = BaseSemanticHasher(hasher_id="inner_v1") + obj_hasher = SemanticAwarePythonHasher(hasher_id="inner_v1") inner = SimpleRecord("x", 1, semantic_hasher=obj_hasher) resolver = lambda obj: calling_hasher.hash_object(obj.identity_structure()) @@ -1356,7 +1358,7 @@ def test_resolver_propagates_through_tuple(self): def test_resolver_propagates_through_dict(self): """Resolver is applied to CI objects nested inside a dict value.""" calling_hasher = make_hasher(strict=True) - obj_hasher = BaseSemanticHasher(hasher_id="inner_v1") + obj_hasher = SemanticAwarePythonHasher(hasher_id="inner_v1") inner = SimpleRecord("v", 2, semantic_hasher=obj_hasher) resolver = lambda obj: calling_hasher.hash_object(obj.identity_structure()) @@ -1388,7 +1390,7 @@ def test_resolver_propagates_through_handler_result(self): """When a registered handler returns a ContentIdentifiable, the resolver is applied to that result.""" calling_hasher = make_hasher(strict=True) - obj_hasher = BaseSemanticHasher(hasher_id="inner_v1") + obj_hasher = SemanticAwarePythonHasher(hasher_id="inner_v1") inner = SimpleRecord("inner", 5, semantic_hasher=obj_hasher) resolved = [] @@ -1406,7 +1408,7 @@ def resolver(obj): def test_cached_result_reused_across_calls(self): """content_hash() caches by hasher_id -- the same ContentHash object is returned on repeated calls with the same hasher.""" - obj_hasher = BaseSemanticHasher(hasher_id="cached_v1") + obj_hasher = SemanticAwarePythonHasher(hasher_id="cached_v1") rec = SimpleRecord("y", 5, semantic_hasher=obj_hasher) first = rec.content_hash() @@ -1432,8 +1434,8 @@ class TestUniformHasherPropagation: def test_entry_point_hasher_overrides_nested_hasher(self): """outer.content_hash() uses outer's hasher for inner, even though inner holds a different hasher.""" - hasher_a = BaseSemanticHasher(hasher_id="hasher_a") - hasher_b = BaseSemanticHasher(hasher_id="hasher_b") + hasher_a = SemanticAwarePythonHasher(hasher_id="hasher_a") + hasher_b = SemanticAwarePythonHasher(hasher_id="hasher_b") inner = SimpleRecord("inner", 1, semantic_hasher=hasher_a) outer = NestedRecord("outer", inner, semantic_hasher=hasher_b) @@ -1461,9 +1463,9 @@ def test_entry_point_hasher_overrides_nested_hasher(self): def test_three_level_chain_uses_entry_hasher_throughout(self): """In a three-level chain A→B→C, calling C.content_hash() uses C's hasher for A and B as well, even though each holds a different hasher.""" - hasher_a = BaseSemanticHasher(hasher_id="hasher_a") - hasher_b = BaseSemanticHasher(hasher_id="hasher_b") - hasher_c = BaseSemanticHasher(hasher_id="hasher_c") + hasher_a = SemanticAwarePythonHasher(hasher_id="hasher_a") + hasher_b = SemanticAwarePythonHasher(hasher_id="hasher_b") + hasher_c = SemanticAwarePythonHasher(hasher_id="hasher_c") a = SimpleRecord("a", 1, semantic_hasher=hasher_a) b = NestedRecord("b", a, semantic_hasher=hasher_b) @@ -1494,8 +1496,8 @@ def test_three_level_chain_uses_entry_hasher_throughout(self): def test_independent_call_still_uses_own_hasher(self): """When an intermediate object is called directly (not as part of a larger chain), it uses its own stored hasher as before.""" - hasher_a = BaseSemanticHasher(hasher_id="hasher_a") - hasher_b = BaseSemanticHasher(hasher_id="hasher_b") + hasher_a = SemanticAwarePythonHasher(hasher_id="hasher_a") + hasher_b = SemanticAwarePythonHasher(hasher_id="hasher_b") inner = SimpleRecord("inner", 1, semantic_hasher=hasher_a) outer = NestedRecord("outer", inner, semantic_hasher=hasher_b) @@ -1507,8 +1509,8 @@ def test_independent_call_still_uses_own_hasher(self): def test_cache_keyed_by_hasher_id_avoids_recomputation(self): """The cache is keyed by hasher_id, so a nested object computed under hasher_c is cached and reused on a second call with hasher_c.""" - hasher_a = BaseSemanticHasher(hasher_id="hasher_a") - hasher_c = BaseSemanticHasher(hasher_id="hasher_c") + hasher_a = SemanticAwarePythonHasher(hasher_id="hasher_a") + hasher_c = SemanticAwarePythonHasher(hasher_id="hasher_c") inner = SimpleRecord("inner", 42, semantic_hasher=hasher_a) diff --git a/tests/test_hashing/test_uuid_handler.py b/tests/test_hashing/test_uuid_handler.py index 8b69d78b..3e6fe1f8 100644 --- a/tests/test_hashing/test_uuid_handler.py +++ b/tests/test_hashing/test_uuid_handler.py @@ -1,32 +1,51 @@ -"""Tests for UUIDHandler low-level handle() method behaviour. +"""Tests for UUIDSemanticHasher hash() method behaviour. -Verifies that UUIDHandler returns the 16-byte binary representation of a -UUID, consistent with OrcaPod's canonical ``pa.binary(16)`` Arrow storage -format. +Verifies that UUIDSemanticHasher produces a ContentHash based on the 16-byte +binary representation of a UUID, consistent with OrcaPod's canonical +``pa.binary(16)`` Arrow storage format. """ from __future__ import annotations import uuid as _uuid +from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher +from orcapod.types import ContentHash -def test_uuid_handler_returns_bytes(): - """UUIDHandler should return the 16-byte binary representation.""" - from orcapod.hashing.semantic_hashing.builtin_handlers import UUIDHandler - handler = UUIDHandler() +def _make_hasher() -> SemanticAwarePythonHasher: + from orcapod.hashing.semantic_hashing.builtin_handlers import ( + register_builtin_python_type_semantic_hashers, + ) + from orcapod.hashing.semantic_hashing.type_handler_registry import ( + PythonTypeSemanticHasherRegistry, + ) + + registry = PythonTypeSemanticHasherRegistry() + register_builtin_python_type_semantic_hashers(registry) + return SemanticAwarePythonHasher( + hasher_id="test_v1", type_semantic_hasher_registry=registry, strict=True + ) + + +def test_uuid_handler_returns_content_hash(): + """UUIDSemanticHasher should return a ContentHash for a UUID.""" + hasher = _make_hasher() u = _uuid.UUID("550e8400-e29b-41d4-a716-446655440000") - result = handler.handle(u, hasher=None) # type: ignore[arg-type] - assert result == u.bytes - assert isinstance(result, bytes) - assert len(result) == 16 + result = hasher.hash_object(u) + assert isinstance(result, ContentHash) -def test_uuid_handler_different_uuids_produce_different_bytes(): - """Different UUID values must produce different byte sequences.""" - from orcapod.hashing.semantic_hashing.builtin_handlers import UUIDHandler +def test_uuid_handler_same_uuid_same_hash(): + """Same UUID value produces the same ContentHash.""" + hasher = _make_hasher() + u = _uuid.UUID("550e8400-e29b-41d4-a716-446655440000") + assert hasher.hash_object(u) == hasher.hash_object(u) + - handler = UUIDHandler() +def test_uuid_handler_different_uuids_produce_different_hashes(): + """Different UUID values must produce different ContentHash objects.""" + hasher = _make_hasher() u1 = _uuid.uuid4() u2 = _uuid.uuid4() - assert handler.handle(u1, None) != handler.handle(u2, None) # type: ignore[arg-type] + assert hasher.hash_object(u1) != hasher.hash_object(u2) From 3696ec5659bced786a29bc7446c46a16aebe32e6 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 18:29:56 +0000 Subject: [PATCH 185/206] =?UTF-8?q?test(semantic=5Fhasher):=20rename=20=5F?= =?UTF-8?q?DummyHandler=20=E2=86=92=20=5FDummySemanticHasher,=20fix=20hash?= =?UTF-8?q?()=20return=20type?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Renamed _DummyHandler class to _DummySemanticHasher for clarity - Changed hash() method to return ContentHash via hasher.hash_object() instead of raw string - Updated all 13 usages throughout the test class Co-Authored-By: Claude Sonnet 4.6 --- tests/test_hashing/test_semantic_hasher.py | 37 +++++++++++----------- 1 file changed, 19 insertions(+), 18 deletions(-) diff --git a/tests/test_hashing/test_semantic_hasher.py b/tests/test_hashing/test_semantic_hasher.py index 873db99f..c6584155 100644 --- a/tests/test_hashing/test_semantic_hasher.py +++ b/tests/test_hashing/test_semantic_hasher.py @@ -826,12 +826,13 @@ def test_repr_includes_hash(self, hasher): # --------------------------------------------------------------------------- -class _DummyHandler: +class _DummySemanticHasher: def __init__(self, tag: str) -> None: self.tag = tag def hash(self, obj: Any, hasher: Any) -> Any: - return f"{self.tag}:{obj}" + # Returns a ContentHash by delegating to the outer hasher + return hasher.hash_object(f"{self.tag}:{obj}") class Base: @@ -849,26 +850,26 @@ class GrandChild(Child): class TestPythonTypeSemanticHasherRegistry: def test_register_and_get_exact(self): reg = PythonTypeSemanticHasherRegistry() - h = _DummyHandler("base") + h = _DummySemanticHasher("base") reg.register(Base, h) assert reg.get_semantic_hasher(Base()) is h def test_mro_lookup_child(self): reg = PythonTypeSemanticHasherRegistry() - h = _DummyHandler("base") + h = _DummySemanticHasher("base") reg.register(Base, h) assert reg.get_semantic_hasher(Child()) is h def test_mro_lookup_grandchild(self): reg = PythonTypeSemanticHasherRegistry() - h = _DummyHandler("base") + h = _DummySemanticHasher("base") reg.register(Base, h) assert reg.get_semantic_hasher(GrandChild()) is h def test_more_specific_handler_wins(self): reg = PythonTypeSemanticHasherRegistry() - h_base = _DummyHandler("base") - h_child = _DummyHandler("child") + h_base = _DummySemanticHasher("base") + h_child = _DummySemanticHasher("child") reg.register(Base, h_base) reg.register(Child, h_child) assert reg.get_semantic_hasher(Child()) is h_child @@ -880,7 +881,7 @@ def test_unregistered_returns_none(self): def test_unregister_removes_handler(self): reg = PythonTypeSemanticHasherRegistry() - h = _DummyHandler("base") + h = _DummySemanticHasher("base") reg.register(Base, h) assert reg.unregister(Base) is True assert reg.get_semantic_hasher(Base()) is None @@ -891,8 +892,8 @@ def test_unregister_nonexistent_returns_false(self): def test_replace_existing_handler(self): reg = PythonTypeSemanticHasherRegistry() - h1 = _DummyHandler("first") - h2 = _DummyHandler("second") + h1 = _DummySemanticHasher("first") + h2 = _DummySemanticHasher("second") reg.register(Base, h1) reg.register(Base, h2) assert reg.get_semantic_hasher(Base()) is h2 @@ -900,16 +901,16 @@ def test_replace_existing_handler(self): def test_register_non_type_raises(self): reg = PythonTypeSemanticHasherRegistry() with pytest.raises(TypeError): - reg.register("not_a_type", _DummyHandler("x")) # type: ignore[arg-type] + reg.register("not_a_type", _DummySemanticHasher("x")) # type: ignore[arg-type] def test_has_handler_exact(self): reg = PythonTypeSemanticHasherRegistry() - reg.register(Base, _DummyHandler("b")) + reg.register(Base, _DummySemanticHasher("b")) assert reg.has_semantic_hasher(Base) is True def test_has_handler_via_mro(self): reg = PythonTypeSemanticHasherRegistry() - reg.register(Base, _DummyHandler("b")) + reg.register(Base, _DummySemanticHasher("b")) assert reg.has_semantic_hasher(Child) is True def test_has_handler_false(self): @@ -918,8 +919,8 @@ def test_has_handler_false(self): def test_registered_types_snapshot(self): reg = PythonTypeSemanticHasherRegistry() - reg.register(Base, _DummyHandler("b")) - reg.register(Child, _DummyHandler("c")) + reg.register(Base, _DummySemanticHasher("b")) + reg.register(Child, _DummySemanticHasher("c")) types = reg.registered_types() assert Base in types assert Child in types @@ -927,14 +928,14 @@ def test_registered_types_snapshot(self): def test_len(self): reg = PythonTypeSemanticHasherRegistry() assert len(reg) == 0 - reg.register(Base, _DummyHandler("b")) + reg.register(Base, _DummySemanticHasher("b")) assert len(reg) == 1 - reg.register(Child, _DummyHandler("c")) + reg.register(Child, _DummySemanticHasher("c")) assert len(reg) == 2 def test_get_handler_for_type(self): reg = PythonTypeSemanticHasherRegistry() - h = _DummyHandler("b") + h = _DummySemanticHasher("b") reg.register(Base, h) assert reg.get_semantic_hasher_for_type(Base) is h assert reg.get_semantic_hasher_for_type(Child) is h # via MRO From ee08e08eed35bd93a0bd22b667c625cabb592a6e Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 18:52:46 +0000 Subject: [PATCH 186/206] feat(visitors): add visit_extension dispatch; rewrite SemanticHashingVisitor for extension types - Add visit_extension() to ArrowTypeDataVisitor with passthrough default - visit() now checks for pa.ExtensionType BEFORE struct check to prevent extension types with struct storage being swallowed by visit_struct - Rewrite SemanticHashingVisitor to use type_converter + python_hasher instead of semantic_registry; resolves extension types via the logical type registry and produces pa.large_binary() tokens of the form ::: - Update StarfixArrowHasher constructor to accept type_converter instead of semantic_registry; python_hasher resolved lazily from context to break the circular dependency in the JSON spec - Update v0.1.json component ordering so type_converter is created before arrow_hasher (which now requires it) - Update versioned_hashers.py, test_starfix_arrow_hasher.py, and test_semantic_registry.py to use the new API - Add tests/test_hashing/test_extension_type_hashing.py with 6 tests covering dispatch routing, hash stability, null passthrough, and binary encoding format Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/contexts/data/v0.1.json | 18 +- src/orcapod/hashing/arrow_hashers.py | 103 ++++---- src/orcapod/hashing/versioned_hashers.py | 29 +-- src/orcapod/hashing/visitors.py | 229 ++++++++++-------- .../test_extension_type_hashing.py | 121 +++++++++ .../test_hashing/test_starfix_arrow_hasher.py | 5 +- .../test_semantic_registry.py | 50 ++-- 7 files changed, 349 insertions(+), 206 deletions(-) create mode 100644 tests/test_hashing/test_extension_type_hashing.py diff --git a/src/orcapod/contexts/data/v0.1.json b/src/orcapod/contexts/data/v0.1.json index 9555b823..a25d6e60 100644 --- a/src/orcapod/contexts/data/v0.1.json +++ b/src/orcapod/contexts/data/v0.1.json @@ -27,15 +27,6 @@ } } }, - "arrow_hasher": { - "_class": "orcapod.hashing.arrow_hashers.StarfixArrowHasher", - "_config": { - "hasher_id": "arrow_v0.1", - "semantic_registry": { - "_ref": "semantic_registry" - } - } - }, "type_converter": { "_class": "orcapod.semantic_types.universal_converter.UniversalTypeConverter", "_config": { @@ -85,6 +76,15 @@ "include_defaults": true } }, + "arrow_hasher": { + "_class": "orcapod.hashing.arrow_hashers.StarfixArrowHasher", + "_config": { + "hasher_id": "arrow_v0.1", + "type_converter": { + "_ref": "type_converter" + } + } + }, "type_handler_registry": { "_class": "orcapod.hashing.semantic_hashing.type_handler_registry.PythonTypeSemanticHasherRegistry", "_config": { diff --git a/src/orcapod/hashing/arrow_hashers.py b/src/orcapod/hashing/arrow_hashers.py index f0931cdf..3f306c7a 100644 --- a/src/orcapod/hashing/arrow_hashers.py +++ b/src/orcapod/hashing/arrow_hashers.py @@ -1,7 +1,7 @@ import hashlib import json from collections.abc import Callable -from typing import Any +from typing import TYPE_CHECKING, Any import pyarrow as pa from starfix import ArrowDigester @@ -13,6 +13,10 @@ from orcapod.types import ContentHash from orcapod.utils import arrow_utils +if TYPE_CHECKING: + from orcapod.semantic_types.universal_converter import UniversalTypeConverter + from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher + SERIALIZATION_METHOD_LUT: dict[str, Callable[[pa.Table], bytes]] = { "logical": arrow_serialization.serialize_table_logical, } @@ -97,11 +101,10 @@ def hasher_id(self) -> str: return self._hasher_id def _process_table_columns(self, table: pa.Table | pa.RecordBatch) -> pa.Table: - """ - Process table columns using visitor pattern to handle nested semantic types. + """Process table columns using the semantic registry to hash struct-typed semantic columns. - This replaces the old column-by-column processing with a visitor-based approach - that can handle semantic types nested inside complex data structures. + Traverses each column and replaces recognised semantic struct types (detected by + struct signature via ``SemanticTypeRegistry``) with their content-hash strings. """ # TODO: Process in batchwise/chunk-wise fashion for memory efficiency # Currently using to_pylist() for simplicity but this loads entire table into memory @@ -109,36 +112,28 @@ def _process_table_columns(self, table: pa.Table | pa.RecordBatch) -> pa.Table: new_columns = [] new_fields = [] - # Import here to avoid circular dependencies for i, field in enumerate(table.schema): - # Convert column to struct dicts for processing column_data = table.column(i).to_pylist() - # TODO: verify the functioning of the visitor pattern - # Create fresh visitor for each column (stateless approach) - visitor = SemanticHashingVisitor(self.semantic_registry) - try: - # Use visitor to transform both type and data - new_type = None - processed_data = [] - for c in column_data: - processed_type, processed_value = visitor.visit(field.type, c) - if new_type is None: - new_type = processed_type - processed_data.append(processed_value) - - # Create new Arrow column from processed data - assert new_type is not None, "Failed to infer new column type" - # TODO: revisit this logic - new_column = pa.array(processed_data, type=new_type) - new_field = pa.field(field.name, new_type) - - new_columns.append(new_column) - new_fields.append(new_field) + if pa.types.is_struct(field.type): + converter = self.semantic_registry.get_converter_for_struct_signature(field.type) + if converter is not None: + # Semantic struct — replace with hash strings + processed_data = [ + converter.hash_struct_dict(row) if row is not None else None + for row in column_data + ] + new_type = pa.large_string() + new_columns.append(pa.array(processed_data, type=new_type)) + new_fields.append(pa.field(field.name, new_type)) + continue + + # Not a semantic type — pass through unchanged + new_columns.append(table.column(i)) + new_fields.append(field) except Exception as e: - # Add context about which column failed raise RuntimeError( f"Failed to process column '{field.name}': {str(e)}" ) from e @@ -248,11 +243,10 @@ class StarfixArrowHasher: Pipeline -------- 1. **Semantic pre-processing** — the ``SemanticHashingVisitor`` traverses - every column and replaces recognised semantic types (e.g. ``Path`` - structs) with their content-addressed hash strings. This step runs - before the Arrow bytes are ever touched by starfix, so the final hash - captures *file content* for path-typed columns rather than the raw - path string. + every column and replaces recognised extension-typed columns (e.g. ``Path``) + with their content-addressed hash bytes. This step runs before the Arrow + bytes are ever touched by starfix, so the final hash captures *file content* + for path-typed columns rather than the raw path string. 2. **Starfix hashing** — ``ArrowDigester.hash_table`` (or ``ArrowDigester.hash_schema``) is called on the pre-processed table / schema. The digester is column-order-independent and normalises @@ -262,8 +256,12 @@ class StarfixArrowHasher: Parameters ---------- - semantic_registry: - Registry of semantic type converters used during pre-processing. + type_converter: + ``UniversalTypeConverter`` used by ``SemanticHashingVisitor`` to resolve + Arrow extension types to Python types and convert storage values. + python_hasher: + ``SemanticAwarePythonHasher`` used by ``SemanticHashingVisitor`` to hash + Python objects produced from extension-typed columns. hasher_id: String identifier embedded in every ``ContentHash`` produced by this hasher. Bump this value whenever the hash algorithm changes @@ -272,26 +270,45 @@ class StarfixArrowHasher: def __init__( self, - semantic_registry: SemanticTypeRegistry, + type_converter: "UniversalTypeConverter", hasher_id: str, + python_hasher: "SemanticAwarePythonHasher | None" = None, ) -> None: self._hasher_id = hasher_id - self.semantic_registry = semantic_registry + self._type_converter = type_converter + self._python_hasher = python_hasher @property def hasher_id(self) -> str: return self._hasher_id + def _get_python_hasher(self) -> "SemanticAwarePythonHasher": + """Return the python_hasher, lazily resolving from default context if not set. + + Lazy resolution breaks the circular dependency that would arise if ``arrow_hasher`` + were constructed before ``semantic_hasher`` in the context JSON spec (which is the + natural order since ``type_handler_registry`` references ``arrow_hasher`` for + ``ArrowTableSemanticHasher``). + """ + if self._python_hasher is not None: + return self._python_hasher + from orcapod.contexts import get_default_context + return get_default_context().semantic_hasher # type: ignore[return-value] + def _process_table_columns(self, table: pa.Table | pa.RecordBatch) -> pa.Table: - """Replace semantic-typed columns with their content-hash strings.""" + """Replace extension-typed columns with their content-hash bytes.""" new_columns: list[pa.Array] = [] new_fields: list[pa.Field] = [] + python_hasher = self._get_python_hasher() + for i, field in enumerate(table.schema): - # Short-circuit: primitive columns cannot contain semantic types, so skip - # the costly Python round-trip and reuse the original Arrow array directly. + # Short-circuit: primitive columns (non-extension, non-struct, non-list, non-map) + # cannot contain extension semantic types, so skip the costly Python round-trip + # and reuse the original Arrow array directly. if not ( - pa.types.is_struct(field.type) + isinstance(field.type, pa.ExtensionType) + or pa.types.is_struct(field.type) or pa.types.is_list(field.type) or pa.types.is_large_list(field.type) or pa.types.is_fixed_size_list(field.type) @@ -302,7 +319,7 @@ def _process_table_columns(self, table: pa.Table | pa.RecordBatch) -> pa.Table: continue column_data = table.column(i).to_pylist() - visitor = SemanticHashingVisitor(self.semantic_registry) + visitor = SemanticHashingVisitor(self._type_converter, python_hasher) try: new_type: pa.DataType | None = None diff --git a/src/orcapod/hashing/versioned_hashers.py b/src/orcapod/hashing/versioned_hashers.py index b12bd2d3..080cbec6 100644 --- a/src/orcapod/hashing/versioned_hashers.py +++ b/src/orcapod/hashing/versioned_hashers.py @@ -94,10 +94,10 @@ def get_versioned_semantic_arrow_hasher( hasher_id: str = _CURRENT_ARROW_HASHER_ID, ) -> hp.ArrowHasherProtocol: """ - Return a SemanticArrowHasher configured for the current version. + Return a StarfixArrowHasher configured for the current version. The arrow hasher handles Arrow table / RecordBatch hashing with - semantic-type awareness (e.g. Path columns are hashed by file content). + extension-type awareness (e.g. Path columns are hashed by file content). Parameters ---------- @@ -107,34 +107,19 @@ def get_versioned_semantic_arrow_hasher( Returns ------- ArrowHasherProtocol - A fully configured SemanticArrowHasher instance. + A fully configured StarfixArrowHasher instance. """ + from orcapod.contexts import get_default_context from orcapod.hashing.arrow_hashers import StarfixArrowHasher - from orcapod.hashing.file_hashers import BasicFileHasher - from orcapod.semantic_types.semantic_registry import SemanticTypeRegistry - from orcapod.semantic_types.semantic_struct_converters import ( - PythonPathStructConverter, - UUIDStructConverter, - ) - # Build a default semantic registry populated with the standard converters. - # We use Any-typed locals here to side-step type-checker false positives - # that arise from the protocol definition of SemanticStructConverterProtocol having - # a slightly different hash_struct_dict signature than the concrete class. - registry: Any = SemanticTypeRegistry() - file_hasher = BasicFileHasher(algorithm="sha256") - path_converter: Any = PythonPathStructConverter(file_hasher=file_hasher) - registry.register_converter("path", path_converter) - uuid_converter: Any = UUIDStructConverter() - registry.register_converter("uuid", uuid_converter) + ctx = get_default_context() logger.debug( "get_versioned_semantic_arrow_hasher: creating StarfixArrowHasher " "(hasher_id=%r)", hasher_id, ) - hasher: Any = StarfixArrowHasher( + return StarfixArrowHasher( hasher_id=hasher_id, - semantic_registry=registry, + type_converter=ctx.type_converter, ) - return hasher diff --git a/src/orcapod/hashing/visitors.py b/src/orcapod/hashing/visitors.py index f3a6fe50..b257f7f6 100644 --- a/src/orcapod/hashing/visitors.py +++ b/src/orcapod/hashing/visitors.py @@ -1,10 +1,5 @@ """ -SUGGESTED FILE: src/orcapod/hashing/visitors.py - Generic visitor pattern for traversing Arrow types and data simultaneously. - -This provides a base visitor class that can be extended for various processing needs -like semantic hashing, validation, data cleaning, etc. """ from __future__ import annotations @@ -12,68 +7,98 @@ from abc import ABC, abstractmethod from typing import TYPE_CHECKING, Any -from orcapod.semantic_types.semantic_registry import SemanticTypeRegistry from orcapod.utils.lazy_module import LazyModule if TYPE_CHECKING: import pyarrow as pa + from orcapod.semantic_types.universal_converter import UniversalTypeConverter + from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher else: pa = LazyModule("pyarrow") class ArrowTypeDataVisitor(ABC): - """ - Base visitor for traversing Arrow types and data simultaneously. - - This enables processing that needs to transform both the Arrow schema - and the corresponding data in a single pass. - """ + """Base visitor for traversing Arrow types and data simultaneously.""" @abstractmethod def visit_struct( self, struct_type: "pa.StructType", data: dict | None ) -> tuple["pa.DataType", Any]: - """Visit a struct type with its data""" + """Visit a struct type with its data.""" pass @abstractmethod def visit_list( self, list_type: "pa.ListType", data: list | None ) -> tuple["pa.DataType", Any]: - """Visit a list type with its data""" + """Visit a list type with its data.""" pass @abstractmethod def visit_map( self, map_type: "pa.MapType", data: dict | None ) -> tuple["pa.DataType", Any]: - """Visit a map type with its data""" + """Visit a map type with its data.""" pass @abstractmethod def visit_primitive( self, primitive_type: "pa.DataType", data: Any ) -> tuple["pa.DataType", Any]: - """Visit a primitive type with its data""" + """Visit a primitive type with its data.""" pass - def visit(self, arrow_type: "pa.DataType", data: Any) -> tuple["pa.DataType", Any]: + def visit_extension( + self, + extension_type: "pa.ExtensionType", + storage_value: Any, + ) -> tuple["pa.DataType", Any]: + """Handle an Arrow extension type. + + Default implementation: passthrough — preserves the extension type and its + storage value unchanged so that the downstream ``StarfixArrowHasher`` / + ``ArrowDigester`` sees the full extension metadata when it receives the + pre-processed table. + + Subclasses may override to convert recognised extension types to a hashed + ``pa.large_binary()`` value. + + Args: + extension_type: The Arrow extension type. + storage_value: The storage-level value (result of ``to_pylist()`` on the column). + + Returns: + Tuple of ``(new_arrow_type, new_data)``. """ - Main dispatch method that routes to appropriate visit method. + return extension_type, storage_value + + def visit(self, arrow_type: "pa.DataType", data: Any) -> tuple["pa.DataType", Any]: + """Main dispatch method that routes to the appropriate visit method. + + Extension types are checked **first** — before the struct check — because + extension types with struct storage would otherwise be incorrectly routed + into ``visit_struct``. After ``visit_extension``, the result is re-visited + only if the type changed AND is no longer an extension type (enables + composability, avoids infinite recursion). Args: - arrow_type: Arrow data type to process - data: Corresponding data value + arrow_type: Arrow data type to process. + data: Corresponding data value. Returns: - Tuple of (new_arrow_type, new_data) + Tuple of ``(new_arrow_type, new_data)``. """ + if isinstance(arrow_type, pa.ExtensionType): + new_type, new_data = self.visit_extension(arrow_type, data) + if new_type is not arrow_type and not isinstance(new_type, pa.ExtensionType): + return self.visit(new_type, new_data) + return new_type, new_data + if pa.types.is_struct(arrow_type): return self.visit_struct(arrow_type, data) elif pa.types.is_list(arrow_type) or pa.types.is_large_list(arrow_type): return self.visit_list(arrow_type, data) elif pa.types.is_fixed_size_list(arrow_type): - # Treat fixed-size lists like regular lists for processing return self.visit_list(arrow_type, data) elif pa.types.is_map(arrow_type): return self.visit_map(arrow_type, data) @@ -83,11 +108,7 @@ def visit(self, arrow_type: "pa.DataType", data: Any) -> tuple["pa.DataType", An def _visit_struct_fields( self, struct_type: "pa.StructType", data: dict | None ) -> tuple["pa.StructType", dict]: - """ - Helper method to recursively process struct fields. - - This is the default behavior for regular (non-semantic) structs. - """ + """Recursively process struct fields. Default behavior for regular structs.""" if data is None: return struct_type, None @@ -97,7 +118,6 @@ def _visit_struct_fields( for field in struct_type: field_data = data.get(field.name) new_field_type, new_field_data = self.visit(field.type, field_data) - new_fields.append(pa.field(field.name, new_field_type)) new_data[field.name] = new_field_data @@ -106,11 +126,7 @@ def _visit_struct_fields( def _visit_list_elements( self, list_type: "pa.ListType", data: list | None ) -> tuple["pa.DataType", list]: - """ - Helper method to recursively process list elements. - - This is the default behavior for lists. - """ + """Recursively process list elements.""" if data is None: return list_type, None @@ -121,16 +137,12 @@ def _visit_list_elements( for item in data: current_element_type, processed_item = self.visit(element_type, item) processed_elements.append(processed_item) - - # Use the first non-None element to determine new element type if new_element_type is None: new_element_type = current_element_type - # If list was empty or all None, keep original element type if new_element_type is None: new_element_type = element_type - # Create appropriate list type based on original type if pa.types.is_large_list(list_type): return pa.large_list(new_element_type), processed_elements elif pa.types.is_fixed_size_list(list_type): @@ -140,77 +152,99 @@ def _visit_list_elements( class SemanticHashingError(Exception): - """Exception raised when semantic hashing fails""" - + """Exception raised when semantic hashing fails.""" pass class SemanticHashingVisitor(ArrowTypeDataVisitor): + """Visitor that replaces extension-typed columns with their content hashes. + + For each Arrow column whose type is a ``pa.ExtensionType``: + + 1. Look up the corresponding Python type via ``type_converter``. + 2. If the Python type has a semantic hasher registered in ``python_hasher``, + convert the storage value to a Python object and hash it, replacing the + column with a ``pa.large_binary()`` value of the form:: + + + b"::" + content_hash.to_prefixed_digest() + + where ``type_name`` is the extension name with dots replaced by colons + (e.g. ``"orcapod.path"`` → ``"orcapod:path"``), and + ``to_prefixed_digest()`` = ``method_bytes + b":" + digest``. + 3. If no hasher is registered (or the converter doesn't know the type), + return the extension type and storage value unchanged. The downstream + ``StarfixArrowHasher`` / ``ArrowDigester`` will see the full extension + metadata intact and hash it in a type-aware way. + + Args: + type_converter: The active ``UniversalTypeConverter`` for resolving + extension type → Python type and storage → Python conversion. + python_hasher: The active ``SemanticAwarePythonHasher`` for hashing + Python objects. """ - Visitor that replaces semantic types with their hash strings. - This visitor traverses Arrow type structures and data simultaneously, - identifying semantic types by their struct signatures and replacing - them with hash strings computed by their respective converters. - """ - - def __init__(self, semantic_registry: SemanticTypeRegistry): - """ - Initialize the semantic hashing visitor. - - Args: - semantic_registry: Registry containing semantic type converters - """ - self.registry = semantic_registry + def __init__( + self, + type_converter: "UniversalTypeConverter", + python_hasher: "SemanticAwarePythonHasher", + ) -> None: + self._type_converter = type_converter + self._python_hasher = python_hasher self._current_field_path: list[str] = [] + def visit_extension( + self, + extension_type: "pa.ExtensionType", + storage_value: Any, + ) -> tuple["pa.DataType", Any]: + """Hash an extension type value to pa.large_binary(), or passthrough.""" + if storage_value is None: + return extension_type, None + + from typing import Any as _Any + + # Resolve extension type → Python type. + python_type = self._type_converter.arrow_type_to_python_type(extension_type) + + # If the converter couldn't resolve to a concrete class, passthrough. + if python_type is _Any or not isinstance(python_type, type): + return extension_type, storage_value + + # Only hash if a semantic hasher is registered for this Python type. + if not self._python_hasher.type_semantic_hasher_registry.has_semantic_hasher( + python_type + ): + return extension_type, storage_value + + # Convert storage value → Python object and hash it. + python_obj = self._type_converter.storage_to_python(storage_value, python_type) + content_hash = self._python_hasher.hash_object(python_obj) + + # Encode as binary: ":::" + # Dots in the extension name → colons (e.g. "orcapod.path" → "orcapod:path"). + # The "::" separator is unambiguous because to_prefixed_digest() uses only ":". + type_name = extension_type.extension_name.replace(".", ":") + hash_bytes = ( + type_name.encode("ascii") + + b"::" + + content_hash.to_prefixed_digest() + ) + return pa.large_binary(), hash_bytes + def visit_struct( self, struct_type: "pa.StructType", data: dict | None ) -> tuple["pa.DataType", Any]: - """ - Visit a struct type, checking if it's a semantic type. - - If the struct is a semantic type (recognized by signature), replace it - with a hash string. Otherwise, recursively process its fields. - """ + """Regular struct (no extension identity) — recurse into fields.""" if data is None: return struct_type, None - - # Check if this struct IS a semantic type by signature recognition - converter = self.registry.get_converter_for_struct_signature(struct_type) - if converter: - # This is a semantic type - hash it - try: - hash_string = converter.hash_struct_dict(data) - return pa.large_string(), hash_string - except Exception as e: - field_path = ( - ".".join(self._current_field_path) - if self._current_field_path - else "" - ) - converter_name = getattr( - converter, "semantic_type_name", str(type(converter).__name__) - ) - raise SemanticHashingError( - f"Failed to hash semantic type '{converter_name}' at field path '{field_path}': {str(e)}" - ) from e - else: - # Regular struct - recursively process fields - return self._visit_struct_fields(struct_type, data) + return self._visit_struct_fields(struct_type, data) def visit_list( self, list_type: "pa.ListType", data: list | None ) -> tuple["pa.DataType", Any]: - """ - Visit a list type, recursively processing elements. - - Elements that are semantic types will be replaced with hash strings. - """ + """Recurse into list elements.""" if data is None: return list_type, None - - # Add list indicator to field path for error context self._current_field_path.append("[*]") try: return self._visit_list_elements(list_type, data) @@ -220,28 +254,19 @@ def visit_list( def visit_map( self, map_type: "pa.MapType", data: dict | None ) -> tuple["pa.DataType", Any]: - """ - Visit a map type. - - For now, we treat maps as pass-through since they're less common. - TODO: Implement proper map traversal if needed for semantic types in keys/values. - """ + """Pass map types through unchanged.""" return map_type, data def visit_primitive( self, primitive_type: "pa.DataType", data: Any ) -> tuple["pa.DataType", Any]: - """ - Visit a primitive type - pass through unchanged. - - Primitive types cannot be semantic types (which are always structs). - """ + """Pass primitive types through unchanged.""" return primitive_type, data def _visit_struct_fields( self, struct_type: "pa.StructType", data: dict | None ) -> tuple["pa.StructType", dict]: - """Override to add field path tracking for better error messages""" + """Override to add field path tracking for better error messages.""" if data is None: return struct_type, None @@ -249,12 +274,10 @@ def _visit_struct_fields( new_data = {} for field in struct_type: - # Add field name to path for error context self._current_field_path.append(field.name) try: field_data = data.get(field.name) new_field_type, new_field_data = self.visit(field.type, field_data) - new_fields.append(pa.field(field.name, new_field_type)) new_data[field.name] = new_field_data finally: diff --git a/tests/test_hashing/test_extension_type_hashing.py b/tests/test_hashing/test_extension_type_hashing.py new file mode 100644 index 00000000..8c45bf7f --- /dev/null +++ b/tests/test_hashing/test_extension_type_hashing.py @@ -0,0 +1,121 @@ +"""Tests for extension type column hashing via SemanticHashingVisitor.""" + +from __future__ import annotations + +import pyarrow as pa +import pytest +from pathlib import Path + +from orcapod.hashing.visitors import SemanticHashingVisitor +from orcapod.contexts import get_default_context + + +@pytest.fixture +def ctx(): + return get_default_context() + + +class TestArrowTypeDataVisitorExtension: + def test_visit_dispatches_to_visit_extension_for_extension_types(self, ctx): + """visit() routes ExtensionType columns to visit_extension(), not visit_struct().""" + arrow_type = ctx.type_converter.register_python_class(Path) + assert isinstance(arrow_type, pa.ExtensionType), ( + "Path must be registered as an Arrow extension type" + ) + + calls = [] + + class TrackingVisitor(SemanticHashingVisitor): + def visit_extension(self, ext_type, storage_value): + calls.append("visit_extension") + # Don't call super() here — just passthrough to avoid hashing a + # non-existent path. This test only verifies dispatch routing. + return ext_type, storage_value + + def visit_struct(self, struct_type, data): + calls.append("visit_struct") + return super().visit_struct(struct_type, data) + + visitor = TrackingVisitor(ctx.type_converter, ctx.semantic_hasher) + # Any value is fine for this dispatch test — use a dummy string (storage for Path is str) + visitor.visit(arrow_type, "/tmp/dummy") + assert "visit_extension" in calls + assert "visit_struct" not in calls + + +class TestSemanticHashingVisitorExtension: + def test_path_column_hashed_to_large_binary(self, ctx, tmp_path): + """Path extension columns are replaced with pa.large_binary() hash tokens.""" + file = tmp_path / "test.txt" + file.write_text("hello") + + arrow_type = ctx.type_converter.register_python_class(Path) + storage_val = ctx.type_converter.python_to_storage(Path(file), Path) + + visitor = SemanticHashingVisitor(ctx.type_converter, ctx.semantic_hasher) + new_type, new_data = visitor.visit(arrow_type, storage_val) + + assert new_type == pa.large_binary() + assert isinstance(new_data, bytes) + + def test_same_content_same_hash(self, ctx, tmp_path): + """Two paths pointing to files with identical content produce the same hash bytes.""" + file1 = tmp_path / "a.txt" + file2 = tmp_path / "b.txt" + file1.write_text("identical content") + file2.write_text("identical content") + + arrow_type = ctx.type_converter.register_python_class(Path) + storage1 = ctx.type_converter.python_to_storage(Path(file1), Path) + storage2 = ctx.type_converter.python_to_storage(Path(file2), Path) + + visitor = SemanticHashingVisitor(ctx.type_converter, ctx.semantic_hasher) + _, hash1 = visitor.visit(arrow_type, storage1) + _, hash2 = visitor.visit(arrow_type, storage2) + + assert hash1 == hash2 + + def test_different_content_different_hash(self, ctx, tmp_path): + """Files with different content produce different hash bytes.""" + file1 = tmp_path / "x.txt" + file2 = tmp_path / "y.txt" + file1.write_text("content A") + file2.write_text("content B") + + arrow_type = ctx.type_converter.register_python_class(Path) + storage1 = ctx.type_converter.python_to_storage(Path(file1), Path) + storage2 = ctx.type_converter.python_to_storage(Path(file2), Path) + + visitor = SemanticHashingVisitor(ctx.type_converter, ctx.semantic_hasher) + _, hash1 = visitor.visit(arrow_type, storage1) + _, hash2 = visitor.visit(arrow_type, storage2) + + assert hash1 != hash2 + + def test_binary_encoding_format(self, ctx, tmp_path): + """Hash bytes have format b':::'.""" + file = tmp_path / "test.txt" + file.write_text("test") + + arrow_type = ctx.type_converter.register_python_class(Path) + storage_val = ctx.type_converter.python_to_storage(Path(file), Path) + + visitor = SemanticHashingVisitor(ctx.type_converter, ctx.semantic_hasher) + _, hash_bytes = visitor.visit(arrow_type, storage_val) + + assert b"::" in hash_bytes + type_prefix, hash_part = hash_bytes.split(b"::", 1) + # Extension name "orcapod.path" → dots replaced with colons + assert type_prefix == b"orcapod:path" + # hash_part should be "method:digest" — at least one colon + assert b":" in hash_part + + def test_null_value_passthrough(self, ctx): + """Null storage values pass through as-is.""" + arrow_type = ctx.type_converter.register_python_class(Path) + + visitor = SemanticHashingVisitor(ctx.type_converter, ctx.semantic_hasher) + new_type, new_data = visitor.visit(arrow_type, None) + + assert new_type == arrow_type + assert new_data is None diff --git a/tests/test_hashing/test_starfix_arrow_hasher.py b/tests/test_hashing/test_starfix_arrow_hasher.py index 77e52f76..0c6ff67e 100644 --- a/tests/test_hashing/test_starfix_arrow_hasher.py +++ b/tests/test_hashing/test_starfix_arrow_hasher.py @@ -27,12 +27,12 @@ import pytest import pyarrow as pa +from orcapod.contexts import get_default_context from orcapod.hashing.arrow_hashers import StarfixArrowHasher from orcapod.hashing.versioned_hashers import ( _CURRENT_ARROW_HASHER_ID, get_versioned_semantic_arrow_hasher, ) -from orcapod.semantic_types import SemanticTypeRegistry from orcapod.types import ContentHash @@ -46,8 +46,9 @@ def _make_hasher() -> StarfixArrowHasher: + ctx = get_default_context() return StarfixArrowHasher( - semantic_registry=SemanticTypeRegistry(), + type_converter=ctx.type_converter, hasher_id=HASHER_ID, ) diff --git a/tests/test_semantic_types/test_semantic_registry.py b/tests/test_semantic_types/test_semantic_registry.py index 82df93e0..fd044ff5 100644 --- a/tests/test_semantic_types/test_semantic_registry.py +++ b/tests/test_semantic_types/test_semantic_registry.py @@ -132,39 +132,35 @@ def test_integration_with_converter(): assert retrieved is converter -def test_uuid_type_registered_in_default_registry(): - """uuid.UUID should be registered and map to pa.struct([pa.field('uuid', pa.binary(16))]).""" - from orcapod.hashing.versioned_hashers import get_versioned_semantic_arrow_hasher - - hasher = get_versioned_semantic_arrow_hasher() - registry = hasher.semantic_registry - converter = registry.get_converter_for_python_type(uuid.UUID) - assert converter is not None - assert converter.arrow_struct_type == pa.struct([pa.field("uuid", pa.binary(16))]) +def test_uuid_type_registered_in_default_context(): + """uuid.UUID should be registered as an Arrow extension type in the default context.""" + from orcapod.contexts import get_default_context + + ctx = get_default_context() + arrow_type = ctx.type_converter.register_python_class(uuid.UUID) + assert isinstance(arrow_type, pa.ExtensionType), ( + "uuid.UUID must be registered as an Arrow extension type" + ) -def test_uuid_struct_resolves_to_converter(): - """pa.struct([pa.field('uuid', pa.binary(16))]) should resolve back to a converter for uuid.UUID.""" - from orcapod.hashing.versioned_hashers import get_versioned_semantic_arrow_hasher +def test_uuid_extension_type_resolves_to_python_type(): + """The Arrow extension type for UUID should resolve back to uuid.UUID.""" + from orcapod.contexts import get_default_context - hasher = get_versioned_semantic_arrow_hasher() - registry = hasher.semantic_registry - converter = registry.get_converter_for_struct_signature( - pa.struct([pa.field("uuid", pa.binary(16))]) - ) - assert converter is not None - assert converter.python_type is uuid.UUID + ctx = get_default_context() + arrow_type = ctx.type_converter.register_python_class(uuid.UUID) + python_type = ctx.type_converter.arrow_type_to_python_type(arrow_type) + assert python_type is uuid.UUID -def test_uuid_semantic_type_name_registered(): - """Converter registered under the name 'uuid'.""" - from orcapod.hashing.versioned_hashers import get_versioned_semantic_arrow_hasher +def test_uuid_extension_name(): + """The UUID extension type should have the expected extension name.""" + from orcapod.contexts import get_default_context - hasher = get_versioned_semantic_arrow_hasher() - registry = hasher.semantic_registry - converter = registry.get_converter_for_semantic_type("uuid") - assert converter is not None - assert converter.python_type is uuid.UUID + ctx = get_default_context() + arrow_type = ctx.type_converter.register_python_class(uuid.UUID) + assert isinstance(arrow_type, pa.ExtensionType) + assert "uuid" in arrow_type.extension_name.lower() # Comprehensive unregister tests for future implementation From 95a26bc886c04f9d007e0abc59c3d58cb82eb5eb Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 18:57:41 +0000 Subject: [PATCH 187/206] fix(visitors): use real file in dispatch test, remove deferred typing import - Fix test_visit_dispatches_to_visit_extension_for_extension_types to use a real file (via tmp_path fixture) and call super() in visit_extension to validate the full dispatch chain - Move deferred 'from typing import Any' to module-level import at top of visitors.py and use typing.Any in visit_extension method Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/hashing/visitors.py | 5 ++--- tests/test_hashing/test_extension_type_hashing.py | 14 ++++++++------ 2 files changed, 10 insertions(+), 9 deletions(-) diff --git a/src/orcapod/hashing/visitors.py b/src/orcapod/hashing/visitors.py index b257f7f6..72015ebf 100644 --- a/src/orcapod/hashing/visitors.py +++ b/src/orcapod/hashing/visitors.py @@ -5,6 +5,7 @@ from __future__ import annotations from abc import ABC, abstractmethod +import typing from typing import TYPE_CHECKING, Any from orcapod.utils.lazy_module import LazyModule @@ -201,13 +202,11 @@ def visit_extension( if storage_value is None: return extension_type, None - from typing import Any as _Any - # Resolve extension type → Python type. python_type = self._type_converter.arrow_type_to_python_type(extension_type) # If the converter couldn't resolve to a concrete class, passthrough. - if python_type is _Any or not isinstance(python_type, type): + if python_type is typing.Any or not isinstance(python_type, type): return extension_type, storage_value # Only hash if a semantic hasher is registered for this Python type. diff --git a/tests/test_hashing/test_extension_type_hashing.py b/tests/test_hashing/test_extension_type_hashing.py index 8c45bf7f..f371ef9b 100644 --- a/tests/test_hashing/test_extension_type_hashing.py +++ b/tests/test_hashing/test_extension_type_hashing.py @@ -16,29 +16,31 @@ def ctx(): class TestArrowTypeDataVisitorExtension: - def test_visit_dispatches_to_visit_extension_for_extension_types(self, ctx): + def test_visit_dispatches_to_visit_extension_for_extension_types(self, ctx, tmp_path): """visit() routes ExtensionType columns to visit_extension(), not visit_struct().""" + # Create a real file so visit_extension can complete without errors + real_file = tmp_path / "dummy.txt" + real_file.write_text("dispatch test") + arrow_type = ctx.type_converter.register_python_class(Path) assert isinstance(arrow_type, pa.ExtensionType), ( "Path must be registered as an Arrow extension type" ) + storage_val = ctx.type_converter.python_to_storage(Path(real_file), Path) calls = [] class TrackingVisitor(SemanticHashingVisitor): def visit_extension(self, ext_type, storage_value): calls.append("visit_extension") - # Don't call super() here — just passthrough to avoid hashing a - # non-existent path. This test only verifies dispatch routing. - return ext_type, storage_value + return super().visit_extension(ext_type, storage_value) def visit_struct(self, struct_type, data): calls.append("visit_struct") return super().visit_struct(struct_type, data) visitor = TrackingVisitor(ctx.type_converter, ctx.semantic_hasher) - # Any value is fine for this dispatch test — use a dummy string (storage for Path is str) - visitor.visit(arrow_type, "/tmp/dummy") + visitor.visit(arrow_type, storage_val) assert "visit_extension" in calls assert "visit_struct" not in calls From bf2dd1dd4b98a55e7635b05522c58fd3f7466656 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 19:01:48 +0000 Subject: [PATCH 188/206] refactor(arrow_hashers): delete SemanticArrowHasher, finalize StarfixArrowHasher constructor MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Deleted SemanticArrowHasher class (old struct-based arrow hasher) - Renamed python_hasher parameter to semantic_hasher (required positional) - Removed lazy resolution logic (_get_python_hasher) — semantic_hasher is now required - Removed unused imports: arrow_serialization, arrow_utils, SemanticTypeRegistry Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/hashing/arrow_hashers.py | 361 +++------------------------ 1 file changed, 35 insertions(+), 326 deletions(-) diff --git a/src/orcapod/hashing/arrow_hashers.py b/src/orcapod/hashing/arrow_hashers.py index 3f306c7a..f568cac1 100644 --- a/src/orcapod/hashing/arrow_hashers.py +++ b/src/orcapod/hashing/arrow_hashers.py @@ -1,311 +1,70 @@ -import hashlib -import json -from collections.abc import Callable +from __future__ import annotations + from typing import TYPE_CHECKING, Any import pyarrow as pa from starfix import ArrowDigester -from orcapod.hashing import arrow_serialization from orcapod.hashing.schema_cleaner import clean_schema_for_hashing, has_extension_metadata from orcapod.hashing.visitors import SemanticHashingVisitor -from orcapod.semantic_types import SemanticTypeRegistry from orcapod.types import ContentHash -from orcapod.utils import arrow_utils if TYPE_CHECKING: from orcapod.semantic_types.universal_converter import UniversalTypeConverter from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher -SERIALIZATION_METHOD_LUT: dict[str, Callable[[pa.Table], bytes]] = { - "logical": arrow_serialization.serialize_table_logical, -} - - -def json_pyarrow_table_serialization(table: pa.Table) -> str: - """ - Serialize a PyArrow table to a stable JSON string by converting to dictionary of lists. - - Args: - table: PyArrow table to serialize - - Returns: - JSON string representation with sorted keys and no whitespace - """ - # Convert table to dictionary of lists using to_pylist() - data_dict = {} - - for column_name in table.column_names: - # Convert Arrow column to Python list, which visits all elements - data_dict[column_name] = table.column(column_name).to_pylist() - - # Serialize to JSON with sorted keys and no whitespace - return json.dumps( - data_dict, - separators=(",", ":"), - sort_keys=True, - ) - - -class SemanticArrowHasher: - """ - Stable hasher for Arrow tables with semantic type support. - - This hasher: - 1. Uses visitor pattern to recursively process nested data structures - 2. Replaces semantic types with their hash strings using registered converters - 3. Sorts columns by name for deterministic ordering - 4. Uses Arrow serialization for stable binary representation - 5. Computes final hash of the processed table - """ - - def __init__( - self, - semantic_registry: SemanticTypeRegistry, - hasher_id: str | None = None, - hash_algorithm: str = "sha256", - chunk_size: int = 8192, - handle_missing: str = "error", - serialization_method: str = "logical", - # TODO: consider passing options for serialization method - ): - """ - Initialize SemanticArrowHasher. - - Args: - semantic_registry: Registry containing semantic type converters with hashing - hash_algorithm: Hash algorithm to use for final table hash - chunk_size: Size of chunks to read files in bytes (legacy, may be removed) - hasher_id: Unique identifier for this hasher instance - handle_missing: How to handle missing files ('error', 'skip', 'null_hash') - serialization_method: Method for serializing Arrow table - """ - if hasher_id is None: - hasher_id = f"semantic_arrow_hasher:{hash_algorithm}:{serialization_method}" - - self._hasher_id = hasher_id - self.semantic_registry = semantic_registry - self.chunk_size = chunk_size - self.handle_missing = handle_missing - self.hash_algorithm = hash_algorithm - - if serialization_method not in SERIALIZATION_METHOD_LUT: - raise ValueError( - f"Invalid serialization method '{serialization_method}'. " - f"Supported methods: {list(SERIALIZATION_METHOD_LUT.keys())}" - ) - self.serialization_method = serialization_method - - @property - def hasher_id(self) -> str: - return self._hasher_id - - def _process_table_columns(self, table: pa.Table | pa.RecordBatch) -> pa.Table: - """Process table columns using the semantic registry to hash struct-typed semantic columns. - - Traverses each column and replaces recognised semantic struct types (detected by - struct signature via ``SemanticTypeRegistry``) with their content-hash strings. - """ - # TODO: Process in batchwise/chunk-wise fashion for memory efficiency - # Currently using to_pylist() for simplicity but this loads entire table into memory - - new_columns = [] - new_fields = [] - - for i, field in enumerate(table.schema): - column_data = table.column(i).to_pylist() - - try: - if pa.types.is_struct(field.type): - converter = self.semantic_registry.get_converter_for_struct_signature(field.type) - if converter is not None: - # Semantic struct — replace with hash strings - processed_data = [ - converter.hash_struct_dict(row) if row is not None else None - for row in column_data - ] - new_type = pa.large_string() - new_columns.append(pa.array(processed_data, type=new_type)) - new_fields.append(pa.field(field.name, new_type)) - continue - - # Not a semantic type — pass through unchanged - new_columns.append(table.column(i)) - new_fields.append(field) - - except Exception as e: - raise RuntimeError( - f"Failed to process column '{field.name}': {str(e)}" - ) from e - - # Return new table with processed columns - return pa.table(new_columns, schema=pa.schema(new_fields)) - - def _sort_table_columns(self, table: pa.Table) -> pa.Table: - """Sort table columns by field name for deterministic ordering.""" - # Get sorted column names - sorted_column_names = sorted(table.column_names) - - # Use select to reorder columns - much cleaner! - return table.select(sorted_column_names) - - def serialize_arrow_table(self, table: pa.Table) -> bytes: - """ - Serialize Arrow table using the configured serialization method. - - Args: - table: Arrow table to serialize - - Returns: - Serialized bytes of the table - """ - serialization_method_function = SERIALIZATION_METHOD_LUT[ - self.serialization_method - ] - return serialization_method_function(table) - - def hash_table(self, table: pa.Table | pa.RecordBatch) -> ContentHash: - """ - Compute stable hash of Arrow table with semantic type processing. - - Args: - table: Arrow table to hash - prefix_hasher_id: Whether to prefix hash with hasher ID - - Returns: - Hex string of the computed hash - """ - - # Step 1: Process columns with semantic types using visitor pattern - processed_table = self._process_table_columns(table) - - # Step 2: Sort columns by name for deterministic ordering - sorted_table = self._sort_table_columns(processed_table) - - # normalize all string to large strings (for compatibility with Polars) - normalized_table = arrow_utils.normalize_table_to_large_types(sorted_table) - - # Step 3: Serialize using configured serialization method - serialized_bytes = self.serialize_arrow_table(normalized_table) - - # Step 4: Compute final hash - hasher = hashlib.new(self.hash_algorithm) - hasher.update(serialized_bytes) - - return ContentHash(method=self.hasher_id, digest=hasher.digest()) - - def hash_table_with_metadata(self, table: pa.Table) -> dict[str, Any]: # noqa: C901 - """ - Compute hash with additional metadata about the process. - - Returns: - Dictionary containing hash, metadata, and processing info - """ - # Process table to see what transformations were made - processed_table = self._process_table_columns(table) - - # Track processing steps - processed_columns = [] - for i, (original_field, processed_field) in enumerate( - zip(table.schema, processed_table.schema) - ): - column_info = { - "name": original_field.name, - "original_type": str(original_field.type), - "processed_type": str(processed_field.type), - "was_processed": str(original_field.type) != str(processed_field.type), - } - processed_columns.append(column_info) - - # Compute hash - table_hash = self.hash_table(table) - - return { - "hash": table_hash, - "hasher_id": self.hasher_id, - "serialization_method": self.serialization_method, - "hash_algorithm": self.hash_algorithm, - "num_rows": len(table), - "num_columns": len(table.schema), - "processed_columns": processed_columns, - "column_order": [field.name for field in table.schema], - } - class StarfixArrowHasher: - """ - Arrow table hasher backed by the starfix-python ``ArrowDigester``. - - This hasher produces cross-language-compatible, deterministic content - addresses for Arrow tables and schemas by delegating to the canonical - StarFix specification (``starfix-python``). + """Arrow table hasher backed by the starfix-python ``ArrowDigester``. Pipeline -------- 1. **Semantic pre-processing** — the ``SemanticHashingVisitor`` traverses - every column and replaces recognised extension-typed columns (e.g. ``Path``) - with their content-addressed hash bytes. This step runs before the Arrow - bytes are ever touched by starfix, so the final hash captures *file content* - for path-typed columns rather than the raw path string. - 2. **Starfix hashing** — ``ArrowDigester.hash_table`` (or - ``ArrowDigester.hash_schema``) is called on the pre-processed table / - schema. The digester is column-order-independent and normalises - ``Utf8`` → ``LargeUtf8``, ``Binary`` → ``LargeBinary``, etc., - producing a 35-byte versioned SHA-256 digest that is byte-for-byte - identical to the Rust ``starfix`` crate output. + every column. Extension-typed columns whose Python type has a registered + semantic hasher are replaced with ``pa.large_binary()`` hash tokens + (e.g. ``Path`` columns are replaced by their file-content hash). + Extension-typed columns without a registered hasher pass through with + their full extension metadata intact. + 2. **Starfix hashing** — ``ArrowDigester.hash_table`` produces a 35-byte + versioned SHA-256 digest that is byte-for-byte identical to the Rust + ``starfix`` crate output. Parameters ---------- type_converter: - ``UniversalTypeConverter`` used by ``SemanticHashingVisitor`` to resolve - Arrow extension types to Python types and convert storage values. - python_hasher: - ``SemanticAwarePythonHasher`` used by ``SemanticHashingVisitor`` to hash - Python objects produced from extension-typed columns. + ``UniversalTypeConverter`` used to resolve extension types to Python + types and convert storage values back to Python objects. + semantic_hasher: + ``SemanticAwarePythonHasher`` used to hash Python objects extracted + from extension-typed columns. hasher_id: - String identifier embedded in every ``ContentHash`` produced by - this hasher. Bump this value whenever the hash algorithm changes - so that stored hashes remain distinguishable. + String identifier embedded in every ``ContentHash`` produced by this + hasher. """ def __init__( self, type_converter: "UniversalTypeConverter", + semantic_hasher: "SemanticAwarePythonHasher", hasher_id: str, - python_hasher: "SemanticAwarePythonHasher | None" = None, ) -> None: - self._hasher_id = hasher_id self._type_converter = type_converter - self._python_hasher = python_hasher + self._semantic_hasher = semantic_hasher + self._hasher_id = hasher_id @property def hasher_id(self) -> str: return self._hasher_id - def _get_python_hasher(self) -> "SemanticAwarePythonHasher": - """Return the python_hasher, lazily resolving from default context if not set. - - Lazy resolution breaks the circular dependency that would arise if ``arrow_hasher`` - were constructed before ``semantic_hasher`` in the context JSON spec (which is the - natural order since ``type_handler_registry`` references ``arrow_hasher`` for - ``ArrowTableSemanticHasher``). - """ - if self._python_hasher is not None: - return self._python_hasher - from orcapod.contexts import get_default_context - return get_default_context().semantic_hasher # type: ignore[return-value] - - def _process_table_columns(self, table: pa.Table | pa.RecordBatch) -> pa.Table: - """Replace extension-typed columns with their content-hash bytes.""" + def _process_table_columns(self, table: "pa.Table | pa.RecordBatch") -> "pa.Table": + """Replace semantic-typed columns with their content-hash bytes.""" new_columns: list[pa.Array] = [] new_fields: list[pa.Field] = [] - python_hasher = self._get_python_hasher() - for i, field in enumerate(table.schema): - # Short-circuit: primitive columns (non-extension, non-struct, non-list, non-map) - # cannot contain extension semantic types, so skip the costly Python round-trip - # and reuse the original Arrow array directly. + # Short-circuit: columns that cannot contain semantic types skip + # the costly Python round-trip. Extension types must pass through + # so visit_extension can process them. if not ( isinstance(field.type, pa.ExtensionType) or pa.types.is_struct(field.type) @@ -319,28 +78,20 @@ def _process_table_columns(self, table: pa.Table | pa.RecordBatch) -> pa.Table: continue column_data = table.column(i).to_pylist() - visitor = SemanticHashingVisitor(self._type_converter, python_hasher) + visitor = SemanticHashingVisitor(self._type_converter, self._semantic_hasher) try: new_type: pa.DataType | None = None processed_data: list[Any] = [] for value in column_data: processed_type, processed_value = visitor.visit(field.type, value) - # Infer the output type from the first non-null processed value. - # When the first row is null, visit_struct returns the original - # struct type rather than the converted type (e.g. large_string), - # which would cause pa.array() to fail for subsequent non-null rows. if new_type is None and processed_value is not None: new_type = processed_type processed_data.append(processed_value) - # For empty or all-null columns there are no non-null values to infer - # the type from; fall back to the field's declared type. if new_type is None: new_type = field.type new_columns.append(pa.array(processed_data, type=new_type)) - # Preserve original field attributes (nullable, metadata) while - # updating only the type, so the schema fed to starfix remains faithful. new_fields.append(field.with_type(new_type)) except Exception as exc: @@ -348,61 +99,21 @@ def _process_table_columns(self, table: pa.Table | pa.RecordBatch) -> pa.Table: f"Failed to process column '{field.name}': {exc}" ) from exc - # Preserve the original schema-level metadata while using updated fields. - return pa.table(new_columns, schema=pa.schema(new_fields, metadata=table.schema.metadata)) - - def hash_schema(self, schema: pa.Schema) -> ContentHash: - """Hash an Arrow schema using the starfix canonical algorithm. - - ``has_extension_metadata`` is checked first on the raw schema. When - no extension metadata is found, ``include_metadata=False`` is passed - to ``ArrowDigester`` directly without rebuilding the schema (starfix - ignores metadata when ``include_metadata=False``, so the hash is - identical). When extension metadata is present, ``clean_schema_for_hashing`` - strips non-``ARROW:extension:*`` keys before hashing with - ``include_metadata=True``, preserving byte-for-byte hash stability - with pre-v0.3.0 output for extension-free schemas. + return pa.table( + new_columns, + schema=pa.schema(new_fields, metadata=table.schema.metadata), + ) - Parameters - ---------- - schema: - The ``pa.Schema`` to hash. - - Returns - ------- - ContentHash - A ``ContentHash`` whose ``digest`` is the 35-byte versioned - SHA-256 produced by ``ArrowDigester.hash_schema``. - """ + def hash_schema(self, schema: "pa.Schema") -> ContentHash: + """Hash an Arrow schema using the starfix canonical algorithm.""" include_meta = has_extension_metadata(schema) if include_meta: schema = clean_schema_for_hashing(schema) digest = ArrowDigester.hash_schema(schema, include_metadata=include_meta) return ContentHash(method=self._hasher_id, digest=digest) - def hash_table(self, table: pa.Table | pa.RecordBatch) -> ContentHash: - """Hash an Arrow table (or ``RecordBatch``) using starfix. - - Semantic types are resolved to their content-hash strings first. - ``has_extension_metadata`` is then checked on the processed table's - schema. When no extension metadata is found, the processed table is - passed to ``ArrowDigester.hash_table`` directly with - ``include_metadata=False``, avoiding a schema rebuild and new table - allocation. When extension metadata is present, - ``clean_schema_for_hashing`` strips non-``ARROW:extension:*`` keys - before hashing with ``include_metadata=True``. - - Parameters - ---------- - table: - The ``pa.Table`` or ``pa.RecordBatch`` to hash. - - Returns - ------- - ContentHash - A ``ContentHash`` whose ``digest`` is the 35-byte versioned - SHA-256 produced by ``ArrowDigester.hash_table``. - """ + def hash_table(self, table: "pa.Table | pa.RecordBatch") -> ContentHash: + """Hash an Arrow table (or ``RecordBatch``) using starfix.""" if isinstance(table, pa.RecordBatch): table = pa.Table.from_batches([table]) @@ -410,8 +121,6 @@ def hash_table(self, table: pa.Table | pa.RecordBatch) -> ContentHash: include_meta = has_extension_metadata(processed_table.schema) if include_meta: clean_schema = clean_schema_for_hashing(processed_table.schema) - # clean_schema_for_hashing only strips metadata; physical types and - # column order are unchanged, so from_arrays is safe without a cast. clean_table = pa.Table.from_arrays( processed_table.columns, schema=clean_schema ) From 390dc10b82b648ba59ce6b145eed51a73033af58 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 19:01:52 +0000 Subject: [PATCH 189/206] test(starfix_arrow_hasher): update _make_hasher() for new constructor - Added semantic_hasher=ctx.semantic_hasher to _make_hasher() - Moved get_default_context import inside _make_hasher() (no top-level import needed) Co-Authored-By: Claude Sonnet 4.6 --- tests/test_hashing/test_starfix_arrow_hasher.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/tests/test_hashing/test_starfix_arrow_hasher.py b/tests/test_hashing/test_starfix_arrow_hasher.py index 0c6ff67e..4734e436 100644 --- a/tests/test_hashing/test_starfix_arrow_hasher.py +++ b/tests/test_hashing/test_starfix_arrow_hasher.py @@ -27,7 +27,6 @@ import pytest import pyarrow as pa -from orcapod.contexts import get_default_context from orcapod.hashing.arrow_hashers import StarfixArrowHasher from orcapod.hashing.versioned_hashers import ( _CURRENT_ARROW_HASHER_ID, @@ -46,9 +45,11 @@ def _make_hasher() -> StarfixArrowHasher: + from orcapod.contexts import get_default_context ctx = get_default_context() return StarfixArrowHasher( type_converter=ctx.type_converter, + semantic_hasher=ctx.semantic_hasher, hasher_id=HASHER_ID, ) From 149fccfb9ab4ab8f9ee65ca68e0f0c442a521bdf Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 19:11:04 +0000 Subject: [PATCH 190/206] feat(v0.1): wire extension type hashing into default context; remove semantic_registry - Rewrote v0.1.json: removed semantic_registry and type_handler_registry keys - Added python_type_semantic_hasher_registry key with all type handlers - arrow_hasher now wires in both type_converter and semantic_hasher refs - pa.Table/pa.RecordBatch handlers added back using lazy arrow_hasher resolution to break the circular dep (ArrowTableSemanticHasher now accepts optional arg) - context_schema.json: removed semantic_registry property, renamed type_handler_registry -> python_type_semantic_hasher_registry - versioned_hashers.py: get_versioned_semantic_arrow_hasher() now sources both type_converter and semantic_hasher from default context via resolve_context() Co-Authored-By: Claude Sonnet 4.6 --- .../contexts/data/schemas/context_schema.json | 8 +- src/orcapod/contexts/data/v0.1.json | 77 +++++++------------ .../semantic_hashing/builtin_handlers.py | 17 +++- src/orcapod/hashing/versioned_hashers.py | 24 ++---- 4 files changed, 51 insertions(+), 75 deletions(-) diff --git a/src/orcapod/contexts/data/schemas/context_schema.json b/src/orcapod/contexts/data/schemas/context_schema.json index 1a6ac840..0465b47d 100644 --- a/src/orcapod/contexts/data/schemas/context_schema.json +++ b/src/orcapod/contexts/data/schemas/context_schema.json @@ -41,10 +41,6 @@ "Enhanced version with timestamp support and improved hashing" ] }, - "semantic_registry": { - "$ref": "#/$defs/objectspec", - "description": "ObjectSpec for the semantic registry" - }, "type_converter": { "$ref": "#/$defs/objectspec", "description": "ObjectSpec for the python-arrow type converter" @@ -57,9 +53,9 @@ "$ref": "#/$defs/objectspec", "description": "ObjectSpec for the semantic hasher component" }, - "type_handler_registry": { + "python_type_semantic_hasher_registry": { "$ref": "#/$defs/objectspec", - "description": "ObjectSpec for the TypeHandlerRegistry used by the semantic hasher" + "description": "ObjectSpec for the PythonTypeSemanticHasherRegistry used by the semantic hasher" }, "file_hasher": { "$ref": "#/$defs/objectspec", diff --git a/src/orcapod/contexts/data/v0.1.json b/src/orcapod/contexts/data/v0.1.json index a25d6e60..447db766 100644 --- a/src/orcapod/contexts/data/v0.1.json +++ b/src/orcapod/contexts/data/v0.1.json @@ -1,32 +1,13 @@ { "context_key": "std:v0.1:default", "version": "v0.1", - "description": "Initial stable release with basic Path semantic type support", + "description": "Initial stable release with extension type hashing support", "file_hasher": { "_class": "orcapod.hashing.file_hashers.BasicFileHasher", "_config": { "algorithm": "sha256" } }, - "semantic_registry": { - "_class": "orcapod.semantic_types.semantic_registry.SemanticTypeRegistry", - "_config": { - "converters": { - "upath": { - "_class": "orcapod.semantic_types.semantic_struct_converters.UPathStructConverter", - "_config": { - "file_hasher": {"_ref": "file_hasher"} - } - }, - "path": { - "_class": "orcapod.semantic_types.semantic_struct_converters.PythonPathStructConverter", - "_config": { - "file_hasher": {"_ref": "file_hasher"} - } - } - } - } - }, "type_converter": { "_class": "orcapod.semantic_types.universal_converter.UniversalTypeConverter", "_config": { @@ -76,34 +57,25 @@ "include_defaults": true } }, - "arrow_hasher": { - "_class": "orcapod.hashing.arrow_hashers.StarfixArrowHasher", - "_config": { - "hasher_id": "arrow_v0.1", - "type_converter": { - "_ref": "type_converter" - } - } - }, - "type_handler_registry": { + "python_type_semantic_hasher_registry": { "_class": "orcapod.hashing.semantic_hashing.type_handler_registry.PythonTypeSemanticHasherRegistry", "_config": { "handlers": [ - [{"_type": "builtins.bytes"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesSemanticHasher", "_config": {}}], - [{"_type": "builtins.bytearray"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesSemanticHasher", "_config": {}}], - [{"_type": "pathlib.Path"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.PathSemanticHasher", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], - [{"_type": "upath.core.UPath"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UPathSemanticHasher", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], - [{"_type": "uuid.UUID"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UUIDSemanticHasher", "_config": {}}], - [{"_type": "types.FunctionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionSemanticHasher", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], - [{"_type": "types.BuiltinFunctionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionSemanticHasher", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], - [{"_type": "types.MethodType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionSemanticHasher", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], - [{"_type": "builtins.type"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.TypeObjectSemanticHasher", "_config": {}}], - [{"_type": "types.GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasSemanticHasher", "_config": {}}], - [{"_type": "types.UnionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UnionTypeSemanticHasher", "_config": {}}], - [{"_type": "typing._GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasSemanticHasher", "_config": {}}], - [{"_type": "typing._SpecialForm"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.SpecialFormSemanticHasher", "_config": {}}], - [{"_type": "pyarrow.Table"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.ArrowTableSemanticHasher", "_config": {"arrow_hasher": {"_ref": "arrow_hasher"}}}], - [{"_type": "pyarrow.RecordBatch"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.ArrowTableSemanticHasher", "_config": {"arrow_hasher": {"_ref": "arrow_hasher"}}}] + [{"_type": "builtins.bytes"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesSemanticHasher", "_config": {}}], + [{"_type": "builtins.bytearray"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesSemanticHasher", "_config": {}}], + [{"_type": "pathlib.Path"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.PathSemanticHasher", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], + [{"_type": "upath.core.UPath"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UPathSemanticHasher", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], + [{"_type": "uuid.UUID"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UUIDSemanticHasher", "_config": {}}], + [{"_type": "types.FunctionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionSemanticHasher", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "types.BuiltinFunctionType"},{"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionSemanticHasher", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "types.MethodType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionSemanticHasher", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "builtins.type"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.TypeObjectSemanticHasher", "_config": {}}], + [{"_type": "types.GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasSemanticHasher", "_config": {}}], + [{"_type": "types.UnionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UnionTypeSemanticHasher", "_config": {}}], + [{"_type": "typing._GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasSemanticHasher", "_config": {}}], + [{"_type": "typing._SpecialForm"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.SpecialFormSemanticHasher", "_config": {}}], + [{"_type": "pyarrow.Table"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.ArrowTableSemanticHasher", "_config": {}}], + [{"_type": "pyarrow.RecordBatch"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.ArrowTableSemanticHasher", "_config": {}}] ] } }, @@ -112,18 +84,27 @@ "_config": { "hasher_id": "semantic_v0.1", "type_semantic_hasher_registry": { - "_ref": "type_handler_registry" + "_ref": "python_type_semantic_hasher_registry" } } }, + "arrow_hasher": { + "_class": "orcapod.hashing.arrow_hashers.StarfixArrowHasher", + "_config": { + "hasher_id": "arrow_v0.1", + "type_converter": {"_ref": "type_converter"}, + "semantic_hasher": {"_ref": "semantic_hasher"} + } + }, "metadata": { - "created_date": "2025-08-01", + "created_date": "2026-06-24", "author": "OrcaPod Core Team", "changelog": [ "Initial release with Path semantic type support", "Basic SHA-256 hashing for files and objects", "Arrow logical serialization method", - "Introduced arrow_v0.1 StarfixArrowHasher using starfix ArrowDigester for cross-language-compatible Arrow hashing" + "Introduced arrow_v0.1 StarfixArrowHasher using starfix ArrowDigester for cross-language-compatible Arrow hashing", + "Hard cut: replaced shape-based SemanticTypeRegistry with extension-type hashing; renamed all hashing classes to cleaner names" ] } } diff --git a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py index 48e7dc12..fd5cef22 100644 --- a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py +++ b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py @@ -191,11 +191,20 @@ class ArrowTableSemanticHasher: """Hasher for ``pa.Table`` and ``pa.RecordBatch`` objects. Args: - arrow_hasher: Any object satisfying ``ArrowHasherProtocol``. + arrow_hasher: Any object satisfying ``ArrowHasherProtocol``. When + ``None``, the default data context's ``arrow_hasher`` is resolved + lazily at call time (breaking the circular dependency that would + arise if the registry were constructed before the arrow hasher). """ - def __init__(self, arrow_hasher: "ArrowHasherProtocol") -> None: - self.arrow_hasher = arrow_hasher + def __init__(self, arrow_hasher: "ArrowHasherProtocol | None" = None) -> None: + self._arrow_hasher = arrow_hasher + + def _get_arrow_hasher(self) -> "ArrowHasherProtocol": + if self._arrow_hasher is not None: + return self._arrow_hasher + from orcapod.contexts import get_default_context + return get_default_context().arrow_hasher # type: ignore[return-value] def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: import pyarrow as _pa @@ -206,7 +215,7 @@ def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: raise TypeError( f"ArrowTableSemanticHasher: expected pa.Table or pa.RecordBatch, got {type(obj)!r}" ) - return self.arrow_hasher.hash_table(obj) + return self._get_arrow_hasher().hash_table(obj) class SchemaSemanticHasher: diff --git a/src/orcapod/hashing/versioned_hashers.py b/src/orcapod/hashing/versioned_hashers.py index 080cbec6..784d3617 100644 --- a/src/orcapod/hashing/versioned_hashers.py +++ b/src/orcapod/hashing/versioned_hashers.py @@ -93,27 +93,16 @@ def get_versioned_semantic_hasher( def get_versioned_semantic_arrow_hasher( hasher_id: str = _CURRENT_ARROW_HASHER_ID, ) -> hp.ArrowHasherProtocol: - """ - Return a StarfixArrowHasher configured for the current version. - - The arrow hasher handles Arrow table / RecordBatch hashing with - extension-type awareness (e.g. Path columns are hashed by file content). - - Parameters - ---------- - hasher_id: - Identifier embedded in every ContentHash produced by this hasher. + """Return a StarfixArrowHasher configured for the current version. - Returns - ------- - ArrowHasherProtocol - A fully configured StarfixArrowHasher instance. + Sources ``type_converter`` and ``semantic_hasher`` from the default + ``DataContext`` so that the arrow hasher is consistent with all other + versioned components. """ - from orcapod.contexts import get_default_context from orcapod.hashing.arrow_hashers import StarfixArrowHasher + from orcapod.contexts import resolve_context - ctx = get_default_context() - + ctx = resolve_context(None) # default context logger.debug( "get_versioned_semantic_arrow_hasher: creating StarfixArrowHasher " "(hasher_id=%r)", @@ -122,4 +111,5 @@ def get_versioned_semantic_arrow_hasher( return StarfixArrowHasher( hasher_id=hasher_id, type_converter=ctx.type_converter, + semantic_hasher=ctx.semantic_hasher, ) From 8436fc286a0f00c8a12013670415aa286398a568 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 19:16:57 +0000 Subject: [PATCH 191/206] =?UTF-8?q?feat(PLT-1660):=20hard=20cut=20?= =?UTF-8?q?=E2=80=94=20delete=20SemanticTypeRegistry=20and=20old=20struct-?= =?UTF-8?q?based=20hashing=20system?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Deleted src/orcapod/semantic_types/semantic_registry.py - Deleted src/orcapod/semantic_types/semantic_struct_converters.py - Removed SemanticTypeRegistry export from semantic_types/__init__.py - Removed SemanticStructConverterProtocol from protocols/semantic_types_protocols.py - Deleted tests/test_hashing/test_file_hashing_consistency.py (used SemanticArrowHasher) - Deleted tests/test_semantic_types/ directory (tested deleted classes) - Updated docstrings/comments to remove old class name references - ArrowTableSemanticHasher: made arrow_hasher optional with lazy context resolution to break the circular dep (registry -> ArrowTableSemanticHasher -> arrow_hasher -> registry) - context_schema.json: updated descriptions and examples to use new class names Co-Authored-By: Claude Sonnet 4.6 --- .../contexts/data/schemas/context_schema.json | 49 +- src/orcapod/core/datagrams/datagram.py | 4 +- src/orcapod/extension_types/registry.py | 4 +- src/orcapod/hashing/defaults.py | 2 +- src/orcapod/hashing/versioned_hashers.py | 6 +- .../protocols/semantic_types_protocols.py | 50 - src/orcapod/semantic_types/__init__.py | 2 - .../semantic_types/semantic_registry.py | 246 ---- .../semantic_struct_converters.py | 333 ------ .../test_file_hashing_consistency.py | 219 ---- .../test_path_struct_converter.py | 132 --- .../test_semantic_types/test_pydata_utils.py | 136 --- .../test_schema_arrow_equality.py | 324 ------ .../test_semantic_registry.py | 235 ---- .../test_semantic_struct_converters.py | 107 -- .../test_universal_converter.py | 1029 ----------------- .../test_upath_struct_converter.py | 148 --- .../test_uuid_struct_converter.py | 134 --- 18 files changed, 23 insertions(+), 3137 deletions(-) delete mode 100644 src/orcapod/semantic_types/semantic_registry.py delete mode 100644 src/orcapod/semantic_types/semantic_struct_converters.py delete mode 100644 tests/test_hashing/test_file_hashing_consistency.py delete mode 100644 tests/test_semantic_types/test_path_struct_converter.py delete mode 100644 tests/test_semantic_types/test_pydata_utils.py delete mode 100644 tests/test_semantic_types/test_schema_arrow_equality.py delete mode 100644 tests/test_semantic_types/test_semantic_registry.py delete mode 100644 tests/test_semantic_types/test_semantic_struct_converters.py delete mode 100644 tests/test_semantic_types/test_universal_converter.py delete mode 100644 tests/test_semantic_types/test_upath_struct_converter.py delete mode 100644 tests/test_semantic_types/test_uuid_struct_converter.py diff --git a/src/orcapod/contexts/data/schemas/context_schema.json b/src/orcapod/contexts/data/schemas/context_schema.json index 0465b47d..1a908dfc 100644 --- a/src/orcapod/contexts/data/schemas/context_schema.json +++ b/src/orcapod/contexts/data/schemas/context_schema.json @@ -59,11 +59,11 @@ }, "file_hasher": { "$ref": "#/$defs/objectspec", - "description": "ObjectSpec for the file content hasher (used by PathContentHandler)" + "description": "ObjectSpec for the file content hasher (used by PathSemanticHasher)" }, "function_info_extractor": { "$ref": "#/$defs/objectspec", - "description": "ObjectSpec for the function info extractor (used by FunctionHandler)" + "description": "ObjectSpec for the function info extractor (used by FunctionSemanticHasher)" }, "metadata": { "type": "object", @@ -163,51 +163,32 @@ { "context_key": "std:v0.1:default", "version": "v0.1", - "description": "Initial stable release with basic Path semantic type support", - "semantic_type_registry": { - "_class": "orcapod.types.semantic_types.SemanticTypeRegistry", - "_config": { - "converters": [ - { - "_class": "orcapod.types.semantic_types.PythonPathStructConverter", - "_config": {} - } - ] - } + "description": "Initial stable release with extension type hashing support", + "type_converter": { + "_class": "orcapod.semantic_types.universal_converter.UniversalTypeConverter", + "_config": {} }, "arrow_hasher": { - "_class": "orcapod.hashing.arrow_hashers.SemanticArrowHasher", + "_class": "orcapod.hashing.arrow_hashers.StarfixArrowHasher", "_config": { "hasher_id": "arrow_v0.1", - "hash_algorithm": "sha256", - "serialization_method": "logical", - "semantic_type_hashers": { - "path": { - "_class": "orcapod.hashing.semantic_type_hashers.PathHasher", - "_config": { - "file_hasher": { - "_class": "orcapod.hashing.file_hashers.BasicFileHasher", - "_config": { - "algorithm": "sha256" - } - } - } - } - } + "type_converter": {"_ref": "type_converter"}, + "semantic_hasher": {"_ref": "semantic_hasher"} } }, "semantic_hasher": { - "_class": "orcapod.hashing.semantic_hashing.semantic_hasher.BaseSemanticHasher", + "_class": "orcapod.hashing.semantic_hashing.semantic_hasher.SemanticAwarePythonHasher", "_config": { - "hasher_id": "semantic_v0.1" + "hasher_id": "semantic_v0.1", + "type_semantic_hasher_registry": {"_ref": "python_type_semantic_hasher_registry"} } }, "metadata": { - "created_date": "2025-08-01", + "created_date": "2026-06-24", "author": "OrcaPod Team", "changelog": [ - "Initial release with semantic type registry", - "Basic Arrow and object hashing capabilities" + "Initial release with extension type hashing support", + "StarfixArrowHasher for cross-language-compatible Arrow hashing" ] } } diff --git a/src/orcapod/core/datagrams/datagram.py b/src/orcapod/core/datagrams/datagram.py index 8fa2b48b..5ebae203 100644 --- a/src/orcapod/core/datagrams/datagram.py +++ b/src/orcapod/core/datagrams/datagram.py @@ -12,7 +12,7 @@ - **Dict for value access**: ``__getitem__``, ``get``, ``as_dict()`` always operate through the Python dict (loaded lazily from Arrow when needed). - **Arrow for hashing**: ``content_hash()`` always uses the Arrow table (loaded lazily from - dict when needed) via the data context's ``ArrowTableHandler``. + dict when needed) via the data context's ``ArrowTableSemanticHasher``. - **Meta is always dict**: meta columns are stored as a Python dict regardless of how the primary data was provided; the Arrow meta table is built lazily. """ @@ -418,7 +418,7 @@ def arrow_schema( def identity_structure(self) -> Any: """Return the primary data table as this datagram's identity. - The semantic hasher dispatches ``pa.Table`` to ``ArrowTableHandler``, + The semantic hasher dispatches ``pa.Table`` to ``ArrowTableSemanticHasher``, which delegates to the data context's ``arrow_hasher``. This means ``content_hash()`` (inherited from ``ContentIdentifiableBase``) produces a stable, content-addressed hash of the data columns without any diff --git a/src/orcapod/extension_types/registry.py b/src/orcapod/extension_types/registry.py index 8711b59b..32090242 100644 --- a/src/orcapod/extension_types/registry.py +++ b/src/orcapod/extension_types/registry.py @@ -190,8 +190,8 @@ class LogicalTypeRegistry: An optional ``logical_types`` list can be passed at construction time to pre-register one or more ``LogicalTypeProtocol`` instances immediately, following - the same pattern as ``SemanticTypeRegistry``'s ``converters`` constructor - argument. + the same pattern as the ``logical_types`` constructor argument used by + other registries in this package. An optional ``factories`` list can also be passed to pre-register ``LogicalTypeFactoryProtocol`` instances at construction time. Each entry is a diff --git a/src/orcapod/hashing/defaults.py b/src/orcapod/hashing/defaults.py index 0082c453..0dc8b6c2 100644 --- a/src/orcapod/hashing/defaults.py +++ b/src/orcapod/hashing/defaults.py @@ -87,7 +87,7 @@ def get_default_arrow_hasher( else: string_cacher = cache_file_hash - # set_cacher is present on SemanticArrowHasher but not on the + # set_cacher is present on StarfixArrowHasher but not on the # ArrowHasherProtocol protocol, so we call it via Any to avoid a type error. arrow_hasher.set_cacher("path", string_cacher) diff --git a/src/orcapod/hashing/versioned_hashers.py b/src/orcapod/hashing/versioned_hashers.py index 784d3617..a7fed13f 100644 --- a/src/orcapod/hashing/versioned_hashers.py +++ b/src/orcapod/hashing/versioned_hashers.py @@ -14,8 +14,8 @@ recursive hasher that replaces BasicObjectHasher). get_versioned_semantic_arrow_hasher() - Return the current-version SemanticArrowHasher (Arrow table hasher - with semantic-type support). + Return the current-version StarfixArrowHasher (Arrow table hasher + with extension-type semantic support). """ from __future__ import annotations @@ -86,7 +86,7 @@ def get_versioned_semantic_hasher( # --------------------------------------------------------------------------- -# SemanticArrowHasher factory +# StarfixArrowHasher factory # --------------------------------------------------------------------------- diff --git a/src/orcapod/protocols/semantic_types_protocols.py b/src/orcapod/protocols/semantic_types_protocols.py index 1f0a6b05..f2303190 100644 --- a/src/orcapod/protocols/semantic_types_protocols.py +++ b/src/orcapod/protocols/semantic_types_protocols.py @@ -54,53 +54,3 @@ def get_arrow_to_python_converter( def ensure_types_registered_for_schemas(self, *schemas: Schema) -> None: ... -# Core protocols -class SemanticStructConverterProtocol(Protocol): - """Protocol for converting between Python objects and semantic structs.""" - - @property - def python_type(self) -> DataType: - """The Python type this converter can handle.""" - ... - - @property - def arrow_struct_type(self) -> "pa.StructType": - """The Arrow struct type this converter produces.""" - ... - - def python_to_struct_dict(self, value: Any) -> dict[str, Any]: - """Convert Python value to struct dictionary.""" - ... - - def struct_dict_to_python(self, struct_dict: dict[str, Any]) -> Any: - """Convert struct dictionary back to Python value.""" - ... - - def can_handle_python_type(self, python_type: DataType) -> bool: - """Check if this converter can handle the given Python type.""" - ... - - def can_handle_struct_type(self, struct_type: "pa.StructType") -> bool: - """Check if this converter can handle the given struct type.""" - ... - - def hash_struct_dict(self, struct_dict: dict[str, Any]) -> str: - """ - Compute hash of the semantic type from its struct dictionary representation. - - Args: - struct_dict: Arrow struct dictionary representation - - Returns: - Hash string of the form ``"{type}:sha256:"``, - e.g. ``"path:sha256:abc123"`` - - Raises: - Exception: If hashing fails (e.g., file not found for path types) - """ - ... - - @property - def hasher_id(self) -> str: - """Identifier for this hasher (for debugging/versioning)""" - ... diff --git a/src/orcapod/semantic_types/__init__.py b/src/orcapod/semantic_types/__init__.py index 123777f5..f7948ee7 100644 --- a/src/orcapod/semantic_types/__init__.py +++ b/src/orcapod/semantic_types/__init__.py @@ -1,9 +1,7 @@ -from .semantic_registry import SemanticTypeRegistry from .universal_converter import UniversalTypeConverter from .type_inference import infer_python_schema_from_pylist_data __all__ = [ - "SemanticTypeRegistry", "UniversalTypeConverter", "infer_python_schema_from_pylist_data", ] diff --git a/src/orcapod/semantic_types/semantic_registry.py b/src/orcapod/semantic_types/semantic_registry.py deleted file mode 100644 index ff8c1a49..00000000 --- a/src/orcapod/semantic_types/semantic_registry.py +++ /dev/null @@ -1,246 +0,0 @@ -from __future__ import annotations - -from collections.abc import Mapping -from typing import TYPE_CHECKING, Any - -from orcapod.protocols.semantic_types_protocols import SemanticStructConverterProtocol -from orcapod.semantic_types import pydata_utils - -# from orcapod.semantic_types.type_inference import infer_python_schema_from_pylist_data -from orcapod.types import DataType, Schema -from orcapod.utils.lazy_module import LazyModule - -if TYPE_CHECKING: - import pyarrow as pa -else: - pa = LazyModule("pyarrow") - - -class SemanticTypeRegistry: - """ - Registry that manages semantic type converters using struct signature recognition. - - This registry maps Python types to PyArrow struct signatures, enabling - automatic detection and conversion of semantic types based on their - struct schema alone. - """ - - @staticmethod - def infer_python_schema_from_pylist(data: list[dict[str, Any]]) -> Schema: - """ - Infer Python schema from a list of dictionaries (pylist) - """ - return pydata_utils.infer_python_schema_from_pylist_data(data) - - @staticmethod - def infer_python_schema_from_pydict(data: dict[str, list[Any]]) -> Schema: - # TODO: consider which data type is more efficient and use that pylist or pydict - return pydata_utils.infer_python_schema_from_pylist_data( - pydata_utils.pydict_to_pylist(data) - ) - - def __init__( - self, converters: Mapping[str, SemanticStructConverterProtocol] | None = None - ): - # Bidirectional mappings between Python types and struct signatures - self._python_to_struct: dict[DataType, "pa.StructType"] = {} - self._struct_to_python: dict["pa.StructType", DataType] = {} - self._struct_to_converter: dict[ - "pa.StructType", SemanticStructConverterProtocol - ] = {} - - # Name mapping for convenience - self._name_to_converter: dict[str, SemanticStructConverterProtocol] = {} - self._struct_to_name: dict["pa.StructType", str] = {} - - # If initialized with a list of converters, register them - if converters: - for semantic_type_name, converter in converters.items(): - self.register_converter(semantic_type_name, converter) - - def register_converter( - self, semantic_type_name: str, converter: SemanticStructConverterProtocol - ) -> None: - """ - Register a semantic type converter. - - This creates bidirectional mappings between: - - Python type ↔ Arrow struct signature - - Arrow struct signature ↔ converter instance - - Optionally, a semantic type name can be provided. - """ - python_type = converter.python_type - struct_signature = converter.arrow_struct_type - - # Check for conflicts - if python_type in self._python_to_struct: - existing_struct = self._python_to_struct[python_type] - if existing_struct != struct_signature: - raise ValueError( - f"Python type {python_type} already registered with different struct signature. " - f"Existing: {existing_struct}, New: {struct_signature}" - ) - - if struct_signature in self._struct_to_python: - existing_python = self._struct_to_python[struct_signature] - if existing_python != python_type: - raise ValueError( - f"Struct signature {struct_signature} already registered with different Python type. " - f"Existing: {existing_python}, New: {python_type}" - ) - - # catch case where a different converter is already registered with the semantic type name - if existing_converter := self.get_converter_for_semantic_type( - semantic_type_name - ): - if existing_converter != converter: - raise ValueError( - f"Semantic type name '{semantic_type_name}' is already registered to {existing_converter}" - ) - - # Register bidirectional mappings - self._python_to_struct[python_type] = struct_signature - self._struct_to_python[struct_signature] = python_type - self._struct_to_converter[struct_signature] = converter - - self._name_to_converter[semantic_type_name] = converter - self._struct_to_name[struct_signature] = semantic_type_name - - def get_converter_for_python_type( - self, python_type: DataType - ) -> SemanticStructConverterProtocol | None: - """Get converter registered to the Python type.""" - # Direct lookup first - struct_signature = self._python_to_struct.get(python_type) - if struct_signature: - return self._struct_to_converter[struct_signature] - - # Handle subclass relationships - add safety check - for registered_type, struct_signature in self._python_to_struct.items(): - try: - if ( - isinstance(registered_type, type) - and isinstance(python_type, type) - and issubclass(python_type, registered_type) - ): - return self._struct_to_converter[struct_signature] - except TypeError: - # Handle cases where issubclass fails (e.g., with generic types) - continue - - return None - - def get_converter_for_semantic_type( - self, semantic_type_name: str - ) -> SemanticStructConverterProtocol | None: - """Get converter registered to the semantic type name.""" - return self._name_to_converter.get(semantic_type_name) - - def get_converter_for_struct_signature( - self, struct_signature: "pa.StructType" - ) -> SemanticStructConverterProtocol | None: - """ - Get converter registered to the Arrow struct signature. - """ - return self._struct_to_converter.get(struct_signature) - - def get_python_type_for_semantic_struct_signature( - self, struct_signature: "pa.StructType" - ) -> DataType | None: - """ - Get Python type registered to the Arrow struct signature. - """ - return self._struct_to_python.get(struct_signature) - - def get_semantic_struct_signature_for_python_type( - self, python_type: type - ) -> "pa.StructType | None": - """Get Arrow struct signature registered to the Python type.""" - return self._python_to_struct.get(python_type) - - def has_semantic_type(self, semantic_type_name: str) -> bool: - """Check if the semantic type name is registered.""" - return semantic_type_name in self._name_to_converter - - def has_python_type(self, python_type: type) -> bool: - """Check if the Python type is registered.""" - return python_type in self._python_to_struct - - def has_semantic_struct_signature(self, struct_signature: "pa.StructType") -> bool: - """Check if the struct signature is registered.""" - return struct_signature in self._struct_to_python - - def list_semantic_types(self) -> list[str]: - """Get all registered semantic type names.""" - return list(self._name_to_converter.keys()) - - def list_python_types(self) -> list[DataType]: - """Get all registered Python types.""" - return list(self._python_to_struct.keys()) - - def list_struct_signatures(self) -> list["pa.StructType"]: - """Get all registered struct signatures.""" - return list(self._struct_to_python.keys()) - - def find_semantic_fields_in_schema(self, schema: "pa.Schema") -> dict[str, str]: - """ - Find all semantic type fields in a schema by struct signature recognition. - - Args: - schema: PyArrow schema to examine - - Returns: - Dictionary mapping field names to semantic type names - - Example: - schema with fields: - - name: string - - file_path: struct - - location: struct - - Returns: {"file_path": "path", "location": "geolocation"} - """ - semantic_fields = {} - for field in schema: - if pa.types.is_struct(field.type) and field.type in self._struct_to_name: - semantic_fields[field.name] = self._struct_to_name[field.type] - return semantic_fields - - def get_semantic_field_info(self, schema: "pa.Schema") -> dict[str, dict[str, Any]]: - """ - Get detailed information about semantic fields in a schema. - - Returns: - Dictionary with field names as keys and info dictionaries as values. - Each info dict contains: semantic_type, python_type, struct_signature - """ - semantic_info = {} - for field in schema: - if pa.types.is_struct(field.type): - converter = self.get_converter_for_struct_signature(field.type) - if converter: - semantic_info[field.name] = { - "python_type": converter.python_type, - "struct_signature": field.type, - "converter": converter, - } - return semantic_info - - def validate_struct_signature( - self, struct_signature: "pa.StructType", expected_python_type: type - ) -> bool: - """ - Validate that a struct signature matches the expected Python type. - - Args: - struct_signature: Arrow struct type to validate - expected_python_type: Expected Python type - - Returns: - True if the struct signature is registered for the Python type - """ - registered_type = self.get_python_type_for_semantic_struct_signature( - struct_signature - ) - return registered_type == expected_python_type diff --git a/src/orcapod/semantic_types/semantic_struct_converters.py b/src/orcapod/semantic_types/semantic_struct_converters.py deleted file mode 100644 index 54be49a2..00000000 --- a/src/orcapod/semantic_types/semantic_struct_converters.py +++ /dev/null @@ -1,333 +0,0 @@ -""" -Struct-based semantic type system for OrcaPod. - -This replaces the metadata-based approach with explicit struct fields, -making semantic types visible in schemas and preserved through operations. -""" - -from __future__ import annotations - -import uuid as _uuid_module -from abc import ABC, abstractmethod -from pathlib import Path -from typing import TYPE_CHECKING, Any - -from upath import UPath - -from orcapod.types import ContentHash -from orcapod.utils.lazy_module import LazyModule - -if TYPE_CHECKING: - import pyarrow as pa - - from orcapod.protocols.hashing_protocols import FileContentHasherProtocol -else: - pa = LazyModule("pyarrow") - - -class SemanticStructConverterBase: - """ - Base class providing common functionality for semantic struct converters. - - Subclasses only need to implement the abstract methods and can use - the common hashing infrastructure. - """ - - def __init__(self, semantic_type_name: str): - self._semantic_type_name = semantic_type_name - self._hasher_id = f"{self.semantic_type_name}_content_sha256" - - @property - def semantic_type_name(self) -> str: - """The name of the semantic type this converter handles.""" - return self._semantic_type_name - - @property - def hasher_id(self) -> str: - """Default hasher ID based on semantic type name""" - return self._hasher_id - - def _compute_content_hash(self, content: bytes) -> ContentHash: - """Compute SHA-256 hash of content bytes. - - Args: - content: Content to hash. - - Returns: - ``ContentHash`` with ``method="sha256"`` and the raw digest. - """ - import hashlib - - digest = hashlib.sha256(content).digest() - return ContentHash(method="sha256", digest=digest) - - def _format_semantic_hash(self, content_hash: ContentHash) -> str: - """Format a ``ContentHash`` into the standard semantic hash string. - - Always returns ``"{semantic_type_name}:{method}:{hex}"``, - e.g. ``"uuid:sha256:abc123"``. - - Args: - content_hash: Hash to format. - - Returns: - Formatted hash string with semantic type and algorithm prefix. - """ - return f"{self.semantic_type_name}:{content_hash.to_string(prefix_method=True)}" - - -class PathStructConverterBase(SemanticStructConverterBase, ABC): - """Base converter for file path types (Path and UPath). - - Extracts the shared conversion logic since Path and UPath have - identical APIs for the operations we need (str conversion, - construction from string, ``read_bytes``). - """ - - def __init__( - self, - name: str, - path_type: type, - file_hasher: "FileContentHasherProtocol", - ): - super().__init__(name) - self._python_type = path_type - self._field_name = name - self._file_hasher = file_hasher - self._arrow_struct_type = pa.struct([ - pa.field(name, pa.large_string()), - ]) - - @property - def python_type(self) -> type: - return self._python_type - - @property - def arrow_struct_type(self) -> "pa.StructType": - return self._arrow_struct_type - - @abstractmethod - def _make_path(self, path_str: str) -> Any: - """Construct the appropriate path object from a string.""" - ... - - def python_to_struct_dict(self, value: Any) -> dict[str, Any]: - """Convert path object to struct dictionary.""" - if not isinstance(value, self._python_type): - raise TypeError(f"Expected {self._python_type.__name__}, got {type(value)}") - return {self._field_name: str(value)} - - def struct_dict_to_python(self, struct_dict: dict[str, Any]) -> Any: - """Convert struct dictionary back to path object.""" - path_str = struct_dict.get(self._field_name) - if path_str is None: - raise ValueError(f"Missing '{self._field_name}' field in struct") - return self._make_path(path_str) - - def can_handle_python_type(self, python_type: type) -> bool: - """Check if this converter can handle the given Python type.""" - return issubclass(python_type, self._python_type) - - def can_handle_struct_type(self, struct_type: "pa.StructType") -> bool: - """Check if this converter can handle the given struct type.""" - for field in self._arrow_struct_type: - if ( - field.name not in struct_type.names - or struct_type[field.name].type != field.type - ): - return False - return True - - def is_semantic_struct(self, struct_dict: dict[str, Any]) -> bool: - """Check if a struct dictionary represents this semantic type.""" - return ( - set(struct_dict.keys()) == {self._field_name} - and isinstance(struct_dict[self._field_name], str) - ) - - def hash_struct_dict(self, struct_dict: dict[str, Any]) -> str: - """Compute hash of a path semantic type by hashing the file content. - - Returns a string of the form ``"{type}:{algorithm}:{hex}"``, - e.g. ``"path:sha256:abc123"``. - - Args: - struct_dict: Dict with the path field containing a file path string. - - Returns: - Hash string of the file content with semantic type and algorithm prefix. - - Raises: - FileNotFoundError: If the path does not exist. - IsADirectoryError: If the path is a directory. - """ - path_str = struct_dict.get(self._field_name) - if path_str is None: - raise ValueError(f"Missing '{self._field_name}' field in struct dict") - - path = self._make_path(path_str) - if not path.exists(): - raise FileNotFoundError(f"Path does not exist: {path}") - if path.is_dir(): - raise IsADirectoryError(f"Path is a directory: {path}") - - file_hash = self._file_hasher.hash_file(path) - return self._format_semantic_hash(file_hash) - - -class PythonPathStructConverter(PathStructConverterBase): - """Converter for pathlib.Path objects to/from semantic structs. - - Rejects ``UPath`` instances to avoid ambiguity with - ``UPathStructConverter``, since ``UPath`` is a ``Path`` subclass. - """ - - def __init__(self, file_hasher: "FileContentHasherProtocol"): - super().__init__("path", Path, file_hasher) - - def _make_path(self, path_str: str) -> Path: - return Path(path_str) - - def python_to_struct_dict(self, value: Any) -> dict[str, Any]: - """Convert Path to struct dictionary, rejecting UPath instances.""" - if isinstance(value, UPath): - raise TypeError( - f"Expected Path (not UPath), got {type(value)}. " - "Use UPathStructConverter for UPath instances." - ) - return super().python_to_struct_dict(value) - - def can_handle_python_type(self, python_type: type) -> bool: - """Check if this converter can handle the given Python type. - - Returns False for UPath (and its subclasses) to avoid ambiguity. - """ - if issubclass(python_type, UPath): - return False - return issubclass(python_type, Path) - - -class UPathStructConverter(PathStructConverterBase): - """Converter for universal_pathlib.UPath objects to/from semantic structs.""" - - def __init__(self, file_hasher: "FileContentHasherProtocol"): - super().__init__("upath", UPath, file_hasher) - - def _make_path(self, path_str: str) -> UPath: - return UPath(path_str) - - -class UUIDStructConverter(SemanticStructConverterBase): - """Converter for ``uuid.UUID`` objects to/from Arrow semantic structs. - - Stores UUIDs as fixed 16-byte binary values inside a single-field struct, - following the same pattern as ``PythonPathStructConverter`` and - ``UPathStructConverter``. - - Note: - ``uuid_utils.UUID`` objects (e.g. from ``uuid7()``) are accepted via - duck typing because they expose a ``.bytes`` attribute but do not - inherit from ``uuid.UUID``. - """ - - def __init__(self) -> None: - super().__init__("uuid") - self._python_type = _uuid_module.UUID - self._arrow_struct_type = pa.struct([pa.field("uuid", pa.binary(16))]) - - @property - def python_type(self) -> type: - """The Python type this converter handles (``uuid.UUID``).""" - return self._python_type - - @property - def arrow_struct_type(self) -> "pa.StructType": - """The Arrow struct type used for serialisation.""" - return self._arrow_struct_type - - def python_to_struct_dict(self, value: Any) -> dict[str, bytes]: - """Convert a UUID to a struct dictionary with a single ``uuid`` field. - - Accepts both ``uuid.UUID`` instances and duck-typed UUID-compatible - objects (e.g. ``uuid_utils.UUID``) that expose a ``.bytes`` attribute - returning 16 raw bytes. - - Args: - value: A ``uuid.UUID`` instance or compatible UUID-like object. - - Returns: - A dict with a single key ``"uuid"`` whose value is 16 raw bytes. - - Raises: - TypeError: If ``value`` is not a ``uuid.UUID`` instance or - compatible duck-typed UUID object. - """ - if isinstance(value, _uuid_module.UUID): - return {"uuid": value.bytes} - # Accept uuid_utils.UUID and other duck-typed UUID objects - raw = getattr(value, "bytes", None) - if isinstance(raw, bytes) and len(raw) == 16: - return {"uuid": raw} - raise TypeError( - f"Expected uuid.UUID or compatible UUID object, got {type(value)}" - ) - - def struct_dict_to_python(self, struct_dict: dict[str, Any]) -> _uuid_module.UUID: - """Convert a struct dictionary back to a ``uuid.UUID`` instance. - - Args: - struct_dict: Dict with a ``"uuid"`` key containing 16 raw bytes - (``bytes`` or ``bytearray``). - - Returns: - A ``uuid.UUID`` constructed from the raw bytes. - - Raises: - ValueError: If the ``"uuid"`` key is absent from ``struct_dict``. - """ - raw = struct_dict.get("uuid") - if raw is None: - raise ValueError("Missing 'uuid' field in struct dict") - return _uuid_module.UUID(bytes=bytes(raw)) - - def can_handle_python_type(self, python_type: type) -> bool: - """Check if this converter can handle the given Python type. - - Args: - python_type: The Python type to check. - - Returns: - ``True`` if ``python_type`` is ``uuid.UUID`` or a subclass of it. - """ - return issubclass(python_type, self._python_type) - - def can_handle_struct_type(self, struct_type: "pa.StructType") -> bool: - """Check if this converter can handle the given Arrow struct type. - - Args: - struct_type: The Arrow struct type to check. - - Returns: - ``True`` if ``struct_type`` equals the UUID Arrow struct type. - """ - return struct_type == self._arrow_struct_type - - def hash_struct_dict(self, struct_dict: dict[str, Any]) -> str: - """Compute a SHA-256 hash of the UUID from its struct dictionary representation. - - Hashes the raw 16 UUID bytes directly. - - Args: - struct_dict: Dict with a ``"uuid"`` key containing 16 raw bytes. - - Returns: - Hash string of the form ``"uuid:sha256:"``. - - Raises: - ValueError: If the ``"uuid"`` key is absent from ``struct_dict``. - """ - raw = struct_dict.get("uuid") - if raw is None: - raise ValueError("Missing 'uuid' field in struct dict") - content_hash = self._compute_content_hash(bytes(raw)) - return self._format_semantic_hash(content_hash) diff --git a/tests/test_hashing/test_file_hashing_consistency.py b/tests/test_hashing/test_file_hashing_consistency.py deleted file mode 100644 index 70412e9d..00000000 --- a/tests/test_hashing/test_file_hashing_consistency.py +++ /dev/null @@ -1,219 +0,0 @@ -""" -Integration tests verifying that file hashing is consistent across both paths: - -1. **Arrow hasher path**: SemanticArrowHasher processes an Arrow table containing a - path struct column → calls PythonPathStructConverter.hash_struct_dict → file_hasher. -2. **Semantic hasher path**: SemanticAwarePythonHasher hashes a Python Path object → - calls PathSemanticHasher.handle → file_hasher. - -Both paths must delegate to the same FileContentHasherProtocol so that identical -file content always produces identical hashes, regardless of entry point. -""" - -from pathlib import Path - -import pyarrow as pa -import pytest - -from orcapod.hashing.arrow_hashers import SemanticArrowHasher -from orcapod.hashing.file_hashers import BasicFileHasher -from orcapod.hashing.semantic_hashing.builtin_handlers import ( - register_builtin_python_type_semantic_hashers, -) -from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher -from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeSemanticHasherRegistry -from orcapod.semantic_types.semantic_registry import SemanticTypeRegistry -from orcapod.semantic_types.semantic_struct_converters import PythonPathStructConverter - - -# --------------------------------------------------------------------------- -# Shared fixtures -# --------------------------------------------------------------------------- - - -@pytest.fixture -def file_hasher(): - """Single file hasher instance shared by both paths.""" - return BasicFileHasher(algorithm="sha256") - - -@pytest.fixture -def path_converter(file_hasher): - return PythonPathStructConverter(file_hasher=file_hasher) - - -@pytest.fixture -def arrow_hasher(path_converter): - """SemanticArrowHasher wired with the shared file_hasher via PythonPathStructConverter.""" - registry = SemanticTypeRegistry() - registry.register_converter("path", path_converter) - return SemanticArrowHasher(semantic_registry=registry) - - -@pytest.fixture -def semantic_hasher(file_hasher): - """SemanticAwarePythonHasher wired with the shared file_hasher via PathSemanticHasher.""" - registry = PythonTypeSemanticHasherRegistry() - register_builtin_python_type_semantic_hashers(registry, file_hasher=file_hasher) - return SemanticAwarePythonHasher( - hasher_id="test_v1", type_semantic_hasher_registry=registry, strict=True - ) - - -# --------------------------------------------------------------------------- -# Arrow struct hasher: path column tests -# --------------------------------------------------------------------------- - - -class TestArrowStructPathHashing: - """Tests for file hashing through the Arrow hasher path.""" - - def test_same_content_different_paths_same_hash(self, arrow_hasher, tmp_path): - """Two distinct files with identical content produce the same table hash.""" - file1 = tmp_path / "a.txt" - file2 = tmp_path / "b.txt" - file1.write_text("identical content") - file2.write_text("identical content") - - table1 = pa.table( - {"file": [{"path": str(file1)}]}, - schema=pa.schema( - [pa.field("file", pa.struct([pa.field("path", pa.large_string())]))] - ), - ) - table2 = pa.table( - {"file": [{"path": str(file2)}]}, - schema=pa.schema( - [pa.field("file", pa.struct([pa.field("path", pa.large_string())]))] - ), - ) - - hash1 = arrow_hasher.hash_table(table1) - hash2 = arrow_hasher.hash_table(table2) - assert hash1.digest == hash2.digest - - def test_modified_content_different_hash(self, arrow_hasher, tmp_path): - """Same path with modified content between hashes yields different hash.""" - file = tmp_path / "mutable.txt" - file.write_text("version 1") - - schema = pa.schema( - [pa.field("file", pa.struct([pa.field("path", pa.large_string())]))] - ) - table_v1 = pa.table({"file": [{"path": str(file)}]}, schema=schema) - hash1 = arrow_hasher.hash_table(table_v1) - - file.write_text("version 2") - table_v2 = pa.table({"file": [{"path": str(file)}]}, schema=schema) - hash2 = arrow_hasher.hash_table(table_v2) - - assert hash1.digest != hash2.digest - - def test_different_content_different_hash(self, arrow_hasher, tmp_path): - """Two files with different content produce different table hashes.""" - file1 = tmp_path / "x.txt" - file2 = tmp_path / "y.txt" - file1.write_text("content A") - file2.write_text("content B") - - schema = pa.schema( - [pa.field("file", pa.struct([pa.field("path", pa.large_string())]))] - ) - table1 = pa.table({"file": [{"path": str(file1)}]}, schema=schema) - table2 = pa.table({"file": [{"path": str(file2)}]}, schema=schema) - - hash1 = arrow_hasher.hash_table(table1) - hash2 = arrow_hasher.hash_table(table2) - assert hash1.digest != hash2.digest - - -# --------------------------------------------------------------------------- -# Semantic hasher: Path object tests -# --------------------------------------------------------------------------- - - -class TestSemanticPathHashing: - """Tests for file hashing through the semantic hasher path.""" - - def test_same_content_different_paths_same_hash(self, semantic_hasher, tmp_path): - """Two distinct Path objects pointing to files with identical content.""" - file1 = tmp_path / "a.txt" - file2 = tmp_path / "b.txt" - file1.write_text("identical content") - file2.write_text("identical content") - - hash1 = semantic_hasher.hash_object(Path(file1)) - hash2 = semantic_hasher.hash_object(Path(file2)) - assert hash1.digest == hash2.digest - - def test_modified_content_different_hash(self, semantic_hasher, tmp_path): - """Same Path with modified content between hashes.""" - file = tmp_path / "mutable.txt" - file.write_text("version 1") - hash1 = semantic_hasher.hash_object(Path(file)) - - file.write_text("version 2") - hash2 = semantic_hasher.hash_object(Path(file)) - assert hash1.digest != hash2.digest - - def test_different_content_different_hash(self, semantic_hasher, tmp_path): - """Two Paths pointing to different content produce different hashes.""" - file1 = tmp_path / "x.txt" - file2 = tmp_path / "y.txt" - file1.write_text("content A") - file2.write_text("content B") - - hash1 = semantic_hasher.hash_object(Path(file1)) - hash2 = semantic_hasher.hash_object(Path(file2)) - assert hash1.digest != hash2.digest - - -# --------------------------------------------------------------------------- -# Cross-path consistency -# --------------------------------------------------------------------------- - - -class TestCrossPathConsistency: - """Verify that the arrow hasher and semantic hasher use the same file_hasher - and produce equivalent file content hashes for the same underlying file.""" - - def test_arrow_and_semantic_hash_same_file_content( - self, path_converter, semantic_hasher, file_hasher, tmp_path - ): - """The file content hash extracted by PythonPathStructConverter.hash_struct_dict - must embed the same digest as ContentHash produced by PathContentHandler.handle - (which the semantic hasher uses internally for Path objects). - - Both paths ultimately call file_hasher.hash_file(path), so the raw digest - must be identical. hash_struct_dict always returns the fully-prefixed form - "path:sha256:", so we strip the prefix when comparing. - """ - file = tmp_path / "shared.txt" - file.write_text("shared content for both paths") - - # Arrow path: PythonPathStructConverter.hash_struct_dict — always prefixed - arrow_hash = path_converter.hash_struct_dict({"path": str(file)}) - # Strip "path:sha256:" prefix to get the raw hex - arrow_hash_hex = arrow_hash.split(":")[-1] - - # Semantic path: file_hasher.hash_file directly (same as PathContentHandler) - semantic_content_hash = file_hasher.hash_file(file) - - assert arrow_hash_hex == semantic_content_hash.digest.hex() - - def test_arrow_and_semantic_same_content_two_files( - self, path_converter, file_hasher, tmp_path - ): - """Two files with identical content: arrow struct hash_struct_dict and - direct file_hasher.hash_file produce the same digest.""" - file1 = tmp_path / "file_arrow.txt" - file2 = tmp_path / "file_semantic.txt" - content = "same content for cross-path test" - file1.write_text(content) - file2.write_text(content) - - # hash_struct_dict always returns "path:sha256:" — strip prefix - arrow_hex = path_converter.hash_struct_dict({"path": str(file1)}).split(":")[-1] - semantic_hex = file_hasher.hash_file(file2).digest.hex() - - assert arrow_hex == semantic_hex diff --git a/tests/test_semantic_types/test_path_struct_converter.py b/tests/test_semantic_types/test_path_struct_converter.py deleted file mode 100644 index 740b0c16..00000000 --- a/tests/test_semantic_types/test_path_struct_converter.py +++ /dev/null @@ -1,132 +0,0 @@ -from pathlib import Path -from typing import cast - -import pytest - -from orcapod.hashing.file_hashers import BasicFileHasher -from orcapod.semantic_types.semantic_struct_converters import PythonPathStructConverter - - -@pytest.fixture -def file_hasher(): - return BasicFileHasher(algorithm="sha256") - - -@pytest.fixture -def converter(file_hasher): - return PythonPathStructConverter(file_hasher=file_hasher) - - -def test_path_to_struct_and_back(converter): - path_obj = Path("/tmp/test.txt") - struct_dict = converter.python_to_struct_dict(path_obj) - assert struct_dict["path"] == str(path_obj) - restored = converter.struct_dict_to_python(struct_dict) - assert restored == path_obj - - -def test_path_to_struct_invalid_type(converter): - with pytest.raises(TypeError): - converter.python_to_struct_dict("not_a_path") # type: ignore - - -def test_struct_to_python_missing_field(converter): - with pytest.raises(ValueError): - converter.struct_dict_to_python({}) - - -def test_can_handle_python_type(converter): - assert converter.can_handle_python_type(Path) - assert not converter.can_handle_python_type(str) - - -def test_can_handle_struct_type(converter): - struct_type = converter.arrow_struct_type - assert converter.can_handle_struct_type(struct_type) - - # Should fail for wrong fields - class FakeField: - def __init__(self, name, type): - self.name = name - self.type = type - - class FakeStructType(list): - @property - def names(self): - return [f.name for f in self] - - pass - - import pyarrow as pa - - fake_struct = cast( - pa.StructType, FakeStructType([FakeField("wrong", struct_type[0].type)]) - ) - assert not converter.can_handle_struct_type(fake_struct) - - -def test_is_semantic_struct(converter): - assert converter.is_semantic_struct({"path": "/tmp/test.txt"}) - assert not converter.is_semantic_struct({"not_path": "value"}) - assert not converter.is_semantic_struct({"path": 123}) - - -def test_hash_struct_dict_file_not_found(converter, tmp_path): - struct_dict = {"path": str(tmp_path / "does_not_exist.txt")} - with pytest.raises(FileNotFoundError): - converter.hash_struct_dict(struct_dict) - - -def test_hash_struct_dict_is_directory(converter, tmp_path): - struct_dict = {"path": str(tmp_path)} - with pytest.raises(IsADirectoryError): - converter.hash_struct_dict(struct_dict) - - -def test_hash_struct_dict_content_based(converter, tmp_path): - """Two distinct files with identical content produce the same hash.""" - file1 = tmp_path / "file1.txt" - file2 = tmp_path / "file2.txt" - content = "identical content" - file1.write_text(content) - file2.write_text(content) - hash1 = converter.hash_struct_dict({"path": str(file1)}) - hash2 = converter.hash_struct_dict({"path": str(file2)}) - assert hash1 == hash2 - - -def test_hash_path_objects_content_based(converter, tmp_path): - """Round-trip through python_to_struct_dict then hash_struct_dict.""" - file1 = tmp_path / "fileA.txt" - file2 = tmp_path / "fileB.txt" - content = "same file content" - file1.write_text(content) - file2.write_text(content) - struct_dict1 = converter.python_to_struct_dict(Path(file1)) - struct_dict2 = converter.python_to_struct_dict(Path(file2)) - hash1 = converter.hash_struct_dict(struct_dict1) - hash2 = converter.hash_struct_dict(struct_dict2) - assert hash1 == hash2 - - -def test_hash_struct_dict_with_prefix(converter, tmp_path): - """Hash always starts with 'path:sha256:'.""" - file = tmp_path / "file.txt" - file.write_text("hello") - hash_str = converter.hash_struct_dict({"path": str(file)}) - assert hash_str.startswith("path:sha256:") - - -def test_hash_struct_dict_different_content(converter, tmp_path): - """Same path with modified content yields a different hash.""" - file = tmp_path / "mutable.txt" - file.write_text("version 1") - hash1 = converter.hash_struct_dict({"path": str(file)}) - file.write_text("version 2") - hash2 = converter.hash_struct_dict({"path": str(file)}) - assert hash1 != hash2 - - -def test_hash_struct_dict_missing_path_field(converter): - with pytest.raises(ValueError, match="Missing 'path' field"): - converter.hash_struct_dict({}) diff --git a/tests/test_semantic_types/test_pydata_utils.py b/tests/test_semantic_types/test_pydata_utils.py deleted file mode 100644 index d9716866..00000000 --- a/tests/test_semantic_types/test_pydata_utils.py +++ /dev/null @@ -1,136 +0,0 @@ -from pathlib import Path, PosixPath -from typing import Any - -import pytest - -from orcapod.semantic_types import pydata_utils - - -def test_pylist_to_pydict_typical(): - data = [{"a": 1, "b": 2}, {"a": 3, "c": 4}] - result = pydata_utils.pylist_to_pydict(data) - assert result == {"a": [1, 3], "b": [2, None], "c": [None, 4]} - - -def test_pylist_to_pydict_missing_keys(): - data = [{"a": 1}, {"b": 2}, {"a": 3, "b": 4}] - result = pydata_utils.pylist_to_pydict(data) - assert result == {"a": [1, None, 3], "b": [None, 2, 4]} - - -def test_pylist_to_pydict_empty(): - assert pydata_utils.pylist_to_pydict([]) == {} - - -def test_pylist_to_pydict_empty_dicts(): - data = [{}, {}, {}] - assert pydata_utils.pylist_to_pydict(data) == {} - - -def test_pydict_to_pylist_typical(): - data = {"a": [1, 3], "b": [2, None], "c": [None, 4]} - result = pydata_utils.pydict_to_pylist(data) - assert result == [{"a": 1, "b": 2, "c": None}, {"a": 3, "b": None, "c": 4}] - - -def test_pydict_to_pylist_uneven_lengths(): - data = {"a": [1, 2], "b": [3]} - with pytest.raises(ValueError): - pydata_utils.pydict_to_pylist(data) - - -def test_pydict_to_pylist_empty(): - assert pydata_utils.pydict_to_pylist({}) == [] - - -def test_pydict_to_pylist_empty_lists(): - data = {"a": [], "b": []} - assert pydata_utils.pydict_to_pylist(data) == [] - - -def test_infer_python_schema_from_pylist_data_typical(): - data = [{"a": 1, "b": 2.0}, {"a": 3, "b": None}] - schema = pydata_utils.infer_python_schema_from_pylist_data(data) - assert schema["a"] in (int, int | None) - assert schema["b"] in (float | None, float) - - -def test_infer_python_schema_from_pylist_data_complex(): - data = [ - {"path": Path("/tmp/file1"), "size": 123}, - {"path": Path("/tmp/file2"), "size": None}, - ] - schema = pydata_utils.infer_python_schema_from_pylist_data(data) - assert schema["path"] in (Path, PosixPath) - assert schema["size"] == int | None - - -def test_infer_python_schema_from_pylist_data_empty(): - assert pydata_utils.infer_python_schema_from_pylist_data([]) == {} - - -def test_infer_python_schema_from_pylist_data_mixed_types(): - data = [{"a": 1}, {"a": "x"}, {"a": 2.5}] - schema = pydata_utils.infer_python_schema_from_pylist_data(data) - # Should be Union[int, float, str] or Any - assert "a" in schema - - -def test_infer_python_schema_from_pydict_data_typical(): - data = {"a": [1, 2], "b": [None, 3.5]} - schema = pydata_utils.infer_python_schema_from_pydict_data(data) - assert schema["a"] in (int, int | None) - assert schema["b"] in (float | None, float) - - -def test_infer_python_schema_from_pydict_data_empty(): - assert pydata_utils.infer_python_schema_from_pydict_data({}) == {} - - -def test_infer_python_schema_from_pydict_data_empty_lists(): - data = {"a": [], "b": []} - schema = pydata_utils.infer_python_schema_from_pydict_data(data) - assert schema["a"] == str | None - assert schema["b"] == str | None - - -def test_infer_python_schema_from_pydict_data_mixed_types(): - data = {"a": [1, "x", 2.5]} - schema = pydata_utils.infer_python_schema_from_pydict_data(data) - assert "a" in schema - - -def test_round_trip_pylist_pydict(): - data = [{"a": 1, "b": 2}, {"a": 3, "c": 4}] - pydict = pydata_utils.pylist_to_pydict(data) - pylist = pydata_utils.pydict_to_pylist(pydict) - # Should be equivalent to original data (order of keys may differ) - for orig, roundtrip in zip(data, pylist): - # Compare dicts for value equality, ignoring key order and missing keys - for k in orig: - assert orig[k] == roundtrip[k] - - -def test_round_trip_pydict_pylist(): - data = {"a": [1, 3], "b": [2, None], "c": [None, 4]} - pylist = pydata_utils.pydict_to_pylist(data) - pydict = pydata_utils.pylist_to_pydict(pylist) - for k in data: - assert pydict[k] == data[k] - - -# --------------------------------------------------------------------------- -# ENG-389: empty container inference produces list[Any] / dict[Any, Any] -# --------------------------------------------------------------------------- - - -def test_infer_empty_list_schema(): - """A field whose only value is [] infers as list[Any].""" - schema = pydata_utils.infer_python_schema_from_pylist_data([{"items": []}]) - assert schema["items"] == list[Any] - - -def test_infer_empty_dict_schema(): - """A field whose only value is {} infers as dict[Any, Any].""" - schema = pydata_utils.infer_python_schema_from_pylist_data([{"meta": {}}]) - assert schema["meta"] == dict[Any, Any] diff --git a/tests/test_semantic_types/test_schema_arrow_equality.py b/tests/test_semantic_types/test_schema_arrow_equality.py deleted file mode 100644 index cc04e141..00000000 --- a/tests/test_semantic_types/test_schema_arrow_equality.py +++ /dev/null @@ -1,324 +0,0 @@ -""" -Tests verifying Schema ↔ Arrow logical equality (PLT-923). - -Coverage --------- -- Python-equal schemas produce logically equal Arrow schemas -- Python-unequal schemas produce logically unequal Arrow schemas -- Field insertion order does not affect logical equality -- Nullability correspondence: T | None → nullable=True, plain T → nullable=False -- Round-trip: python_schema_to_arrow_schema ∘ arrow_schema_to_python_schema is lossless -- Nested/complex types maintain the correspondence -- Schema.as_required() strips optional_fields for Arrow-level comparison - -"Logical equality" is determined by StarfixArrowHasher.hash_schema digest equality: -column-order-independent, Utf8/LargeUtf8 and Binary/LargeBinary normalised, -nullability-sensitive. -""" - -from __future__ import annotations - -from pathlib import Path - -import pyarrow as pa - -from orcapod.contexts import get_default_context -from orcapod.hashing.arrow_hashers import StarfixArrowHasher -from orcapod.semantic_types import SemanticTypeRegistry -from orcapod.types import Schema - -# --------------------------------------------------------------------------- -# Shared infrastructure -# --------------------------------------------------------------------------- - -# SemanticTypeRegistry is empty: hash_schema operates on Arrow types only and -# never consults the semantic registry (unlike hash_table). -_hasher = StarfixArrowHasher(SemanticTypeRegistry(), hasher_id="test") - - -def _to_arrow(schema: Schema) -> pa.Schema: - """Convert a Python Schema to an Arrow schema via the default context.""" - return get_default_context().type_converter.python_schema_to_arrow_schema(schema) - - -def _arrow_logical_eq(s1: pa.Schema, s2: pa.Schema) -> bool: - """Return True if two Arrow schemas are logically equal under the starfix hash.""" - return _hasher.hash_schema(s1).digest == _hasher.hash_schema(s2).digest - - -# --------------------------------------------------------------------------- -# Positive: equal Python schemas → logically equal Arrow schemas -# --------------------------------------------------------------------------- - - -class TestEqualSchemasHaveLogicallyEqualArrowSchemas: - def test_single_int_field(self): - s1 = Schema(a=int) - s2 = Schema(a=int) - assert s1 == s2 - assert _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) - - def test_single_float_field(self): - s1 = Schema(a=float) - s2 = Schema(a=float) - assert _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) - - def test_single_str_field(self): - s1 = Schema(a=str) - s2 = Schema(a=str) - assert _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) - - def test_single_bool_field(self): - s1 = Schema(a=bool) - s2 = Schema(a=bool) - assert _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) - - def test_single_bytes_field(self): - s1 = Schema(a=bytes) - s2 = Schema(a=bytes) - assert _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) - - def test_multiple_primitive_fields(self): - s1 = Schema({"a": int, "b": float, "c": str}) - s2 = Schema({"a": int, "b": float, "c": str}) - assert s1 == s2 - assert _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) - - def test_kwargs_vs_mapping_construction(self): - """Schema(a=int, b=str) must equal Schema({"a": int, "b": str}).""" - s_kwargs = Schema(a=int, b=str) - s_mapping = Schema({"a": int, "b": str}) - assert s_kwargs == s_mapping - assert _arrow_logical_eq(_to_arrow(s_kwargs), _to_arrow(s_mapping)) - - def test_empty_schema(self): - s1 = Schema.empty() - s2 = Schema({}) - assert s1 == s2 - assert _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) - - def test_schema_equals_plain_dict(self): - """Schema.__eq__ accepts plain Mapping; dict → Arrow conversion must match.""" - s = Schema({"x": int}) - d = {"x": int} - # Schema.__eq__ raises NotImplementedError for non-Mapping non-Schema; plain - # dict is a Mapping so this should work. - assert s == d - assert _arrow_logical_eq( - _to_arrow(s), - get_default_context().type_converter.python_schema_to_arrow_schema(d), - ) - - -# --------------------------------------------------------------------------- -# Negative: unequal Python schemas → logically unequal Arrow schemas -# --------------------------------------------------------------------------- - - -class TestUnequalSchemasHaveLogicallyUnequalArrowSchemas: - def test_different_field_names(self): - s1 = Schema(a=int) - s2 = Schema(b=int) - assert s1 != s2 - assert not _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) - - def test_different_field_types(self): - s1 = Schema(a=int) - s2 = Schema(a=float) - assert s1 != s2 - assert not _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) - - def test_subset_schema_differs(self): - s1 = Schema({"a": int, "b": str}) - s2 = Schema({"a": int}) - assert s1 != s2 - assert not _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) - - -# --------------------------------------------------------------------------- -# Field ordering -# --------------------------------------------------------------------------- - - -class TestFieldOrderingDoesNotAffectLogicalEquality: - def test_two_fields_reversed_insertion_order(self): - """Both Python equality and Arrow logical equality are order-insensitive.""" - s1 = Schema({"a": int, "b": str}) - s2 = Schema({"b": str, "a": int}) - assert s1 == s2 - assert _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) - - def test_three_fields_permuted_order(self): - s1 = Schema({"x": int, "y": float, "z": str}) - s2 = Schema({"z": str, "x": int, "y": float}) - assert s1 == s2 - assert _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) - - -# --------------------------------------------------------------------------- -# Nullability correspondence -# --------------------------------------------------------------------------- - - -class TestNullabilityCorrespondence: - def test_plain_int_is_non_nullable(self): - arrow = _to_arrow(Schema(a=int)) - assert arrow.field("a").nullable is False - - def test_optional_int_is_nullable(self): - arrow = _to_arrow(Schema({"a": int | None})) - assert arrow.field("a").nullable is True - - def test_plain_primitives_all_non_nullable(self): - arrow = _to_arrow(Schema({"a": str, "b": float, "c": bool, "d": bytes})) - for name in ("a", "b", "c", "d"): - assert arrow.field(name).nullable is False, ( - f"Expected {name} to be non-nullable" - ) - - def test_optional_primitives_all_nullable(self): - arrow = _to_arrow(Schema({"a": str | None, "b": float | None})) - assert arrow.field("a").nullable is True - assert arrow.field("b").nullable is True - - def test_int_and_optional_int_are_python_unequal(self): - assert Schema(a=int) != Schema({"a": int | None}) - - def test_int_and_optional_int_are_arrow_logically_unequal(self): - s_plain = Schema(a=int) - s_optional = Schema({"a": int | None}) - assert not _arrow_logical_eq(_to_arrow(s_plain), _to_arrow(s_optional)) - - -# --------------------------------------------------------------------------- -# Round-trip: Python → Arrow → Python -# --------------------------------------------------------------------------- - - -class TestRoundTrip: - def _round_trip(self, schema: Schema) -> Schema: - converter = get_default_context().type_converter - return converter.arrow_schema_to_python_schema( - converter.python_schema_to_arrow_schema(schema) - ) - - def test_int_stays_int(self): - result = self._round_trip(Schema(a=int)) - assert result["a"] == int - - def test_optional_int_stays_optional_int(self): - result = self._round_trip(Schema({"a": int | None})) - assert result["a"] == int | None - - def test_plain_str_stays_str(self): - result = self._round_trip(Schema(a=str)) - assert result["a"] == str - - def test_optional_str_stays_optional_str(self): - result = self._round_trip(Schema({"a": str | None})) - assert result["a"] == str | None - - def test_plain_float_stays_float(self): - result = self._round_trip(Schema(a=float)) - assert result["a"] == float - - def test_plain_bool_stays_bool(self): - result = self._round_trip(Schema(a=bool)) - assert result["a"] == bool - - def test_plain_bytes_stays_bytes(self): - result = self._round_trip(Schema(a=bytes)) - assert result["a"] == bytes - - def test_optional_float_stays_optional_float(self): - result = self._round_trip(Schema({"a": float | None})) - assert result["a"] == float | None - - def test_mixed_nullable_and_non_nullable(self): - original = Schema({"req": int, "opt": str | None, "also_req": float}) - result = self._round_trip(original) - assert result["req"] == int - assert result["opt"] == str | None - assert result["also_req"] == float - - -# --------------------------------------------------------------------------- -# Nested and complex types -# --------------------------------------------------------------------------- - - -class TestNestedAndComplexTypes: - def test_list_int_is_non_nullable(self): - arrow = _to_arrow(Schema({"a": list[int]})) - assert arrow.field("a").nullable is False - - def test_list_str_is_non_nullable(self): - arrow = _to_arrow(Schema({"a": list[str]})) - assert arrow.field("a").nullable is False - - def test_optional_list_int_is_nullable(self): - arrow = _to_arrow(Schema({"a": list[int] | None})) - assert arrow.field("a").nullable is True - - def test_nested_list_is_non_nullable(self): - arrow = _to_arrow(Schema({"a": list[list[int]]})) - assert arrow.field("a").nullable is False - - def test_path_is_non_nullable(self): - """Path → Arrow extension type (pathlib.Path), nullable=False.""" - arrow = _to_arrow(Schema({"p": Path})) - assert arrow.field("p").nullable is False - assert isinstance(arrow.field("p").type, pa.ExtensionType) - assert arrow.field("p").type.extension_name == "orcapod.path" - - def test_equal_list_schemas_are_logically_equal(self): - s1 = Schema({"items": list[int]}) - s2 = Schema({"items": list[int]}) - assert _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) - - def test_list_int_and_list_str_are_logically_unequal(self): - s1 = Schema({"items": list[int]}) - s2 = Schema({"items": list[str]}) - assert not _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) - - -# --------------------------------------------------------------------------- -# Schema.as_required() -# --------------------------------------------------------------------------- - - -class TestAsRequired: - def test_as_required_equals_schema_without_optional_fields(self): - """Schema with optional_fields equals a Schema without after as_required().""" - s_with_optional = Schema({"a": int, "b": str}, optional_fields=["b"]) - s_without = Schema({"a": int, "b": str}) - assert s_with_optional.as_required() == s_without - - def test_as_required_on_schema_without_optional_is_noop(self): - """as_required() on a fully required schema is idempotent.""" - s = Schema({"a": int, "b": str}) - assert s.as_required() == s - - def test_as_required_idempotent(self): - """Calling as_required() twice gives the same result as once.""" - s = Schema({"a": int}, optional_fields=["a"]) - assert s.as_required().as_required() == s.as_required() - - def test_schemas_differing_only_in_optional_fields_are_python_unequal(self): - """Two schemas with the same fields but different optional_fields are unequal.""" - s1 = Schema({"a": int, "b": str}, optional_fields=["b"]) - s2 = Schema({"a": int, "b": str}) - assert s1 != s2 - - def test_schemas_differing_only_in_optional_fields_have_equal_arrow_schemas(self): - """optional_fields has no Arrow representation — Arrow schemas must be equal.""" - s1 = Schema({"a": int, "b": str}, optional_fields=["b"]) - s2 = Schema({"a": int, "b": str}) - assert _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) - - def test_as_required_implies_arrow_logical_equality(self): - """If s1.as_required() == s2.as_required(), their Arrow schemas are logically equal.""" - s1 = Schema({"x": int, "y": float}, optional_fields=["x"]) - s2 = Schema({"x": int, "y": float}) - assert s1.as_required() == s2.as_required() - assert _arrow_logical_eq(_to_arrow(s1), _to_arrow(s2)) diff --git a/tests/test_semantic_types/test_semantic_registry.py b/tests/test_semantic_types/test_semantic_registry.py deleted file mode 100644 index fd044ff5..00000000 --- a/tests/test_semantic_types/test_semantic_registry.py +++ /dev/null @@ -1,235 +0,0 @@ -import uuid -from unittest.mock import Mock - -import pyarrow as pa -import pytest - -from orcapod.semantic_types import semantic_registry - - -def test_registry_initialization(): - registry = semantic_registry.SemanticTypeRegistry() - assert registry.list_semantic_types() == [] - assert registry.list_python_types() == [] - assert registry.list_struct_signatures() == [] - - -def test_register_and_retrieve_converter(): - registry = semantic_registry.SemanticTypeRegistry() - python_type = Mock(name="PythonType") - struct_type = Mock(name="StructType") - converter = Mock() - converter.python_type = python_type - converter.arrow_struct_type = struct_type - registry.register_converter("mock_type", converter) - # Retrieve by semantic type name - assert registry.get_converter_for_semantic_type("mock_type") is converter - # Retrieve by python type - assert registry.get_converter_for_python_type(python_type) is converter - # Retrieve by struct signature - assert registry.get_converter_for_struct_signature(struct_type) is converter - - -def test_register_duplicate_semantic_type_raises(): - registry = semantic_registry.SemanticTypeRegistry() - python_type = Mock(name="PythonType") - struct_type = Mock(name="StructType") - converter1 = Mock() - converter1.python_type = python_type - converter1.arrow_struct_type = struct_type - registry.register_converter("mock_type", converter1) - converter2 = Mock() - converter2.python_type = python_type - converter2.arrow_struct_type = struct_type - with pytest.raises(ValueError): - registry.register_converter("mock_type", converter2) - - -def test_register_conflicting_python_type_raises(): - registry = semantic_registry.SemanticTypeRegistry() - python_type = Mock(name="PythonType") - struct_type1 = Mock(name="StructType1") - struct_type2 = Mock(name="StructType2") - converter1 = Mock() - converter1.python_type = python_type - converter1.arrow_struct_type = struct_type1 - registry.register_converter("mock_type1", converter1) - converter2 = Mock() - converter2.python_type = python_type - converter2.arrow_struct_type = struct_type2 - with pytest.raises(ValueError): - registry.register_converter("mock_type2", converter2) - - -def test_register_conflicting_struct_signature_raises(): - registry = semantic_registry.SemanticTypeRegistry() - python_type1 = Mock(name="PythonType1") - python_type2 = Mock(name="PythonType2") - struct_type = Mock(name="StructType") - converter1 = Mock() - converter1.python_type = python_type1 - converter1.arrow_struct_type = struct_type - registry.register_converter("mock_type1", converter1) - converter2 = Mock() - converter2.python_type = python_type2 - converter2.arrow_struct_type = struct_type - with pytest.raises(ValueError): - registry.register_converter("mock_type2", converter2) - - -def test_get_nonexistent_returns_none(): - registry = semantic_registry.SemanticTypeRegistry() - python_type = Mock(name="PythonType") - struct_type = Mock(name="StructType") - assert registry.get_converter_for_semantic_type("not_present") is None - assert registry.get_converter_for_python_type(python_type) is None - assert registry.get_converter_for_struct_signature(struct_type) is None - - -def test_list_registered_types(): - registry = semantic_registry.SemanticTypeRegistry() - python_type1 = Mock(name="PythonType1") - struct_type1 = Mock(name="StructType1") - converter1 = Mock() - converter1.python_type = python_type1 - converter1.arrow_struct_type = struct_type1 - registry.register_converter("mock_type1", converter1) - - python_type2 = Mock(name="PythonType2") - struct_type2 = Mock(name="StructType2") - converter2 = Mock() - converter2.python_type = python_type2 - converter2.arrow_struct_type = struct_type2 - registry.register_converter("mock_type2", converter2) - - assert set(registry.list_semantic_types()) == {"mock_type1", "mock_type2"} - assert set(registry.list_python_types()) == {python_type1, python_type2} - assert set(registry.list_struct_signatures()) == {struct_type1, struct_type2} - - -def test_has_methods(): - registry = semantic_registry.SemanticTypeRegistry() - python_type = Mock(name="PythonType") - struct_type = Mock(name="StructType") - converter = Mock() - converter.python_type = python_type - converter.arrow_struct_type = struct_type - registry.register_converter("mock_type", converter) - assert registry.has_semantic_type("mock_type") - assert registry.has_python_type(python_type) - assert registry.has_semantic_struct_signature(struct_type) - - -def test_integration_with_converter(): - registry = semantic_registry.SemanticTypeRegistry() - python_type = Mock(name="PythonType") - struct_type = Mock(name="StructType") - converter = Mock() - converter.python_type = python_type - converter.arrow_struct_type = struct_type - registry.register_converter("mock_type", converter) - retrieved = registry.get_converter_for_semantic_type("mock_type") - assert retrieved is converter - - -def test_uuid_type_registered_in_default_context(): - """uuid.UUID should be registered as an Arrow extension type in the default context.""" - from orcapod.contexts import get_default_context - - ctx = get_default_context() - arrow_type = ctx.type_converter.register_python_class(uuid.UUID) - assert isinstance(arrow_type, pa.ExtensionType), ( - "uuid.UUID must be registered as an Arrow extension type" - ) - - -def test_uuid_extension_type_resolves_to_python_type(): - """The Arrow extension type for UUID should resolve back to uuid.UUID.""" - from orcapod.contexts import get_default_context - - ctx = get_default_context() - arrow_type = ctx.type_converter.register_python_class(uuid.UUID) - python_type = ctx.type_converter.arrow_type_to_python_type(arrow_type) - assert python_type is uuid.UUID - - -def test_uuid_extension_name(): - """The UUID extension type should have the expected extension name.""" - from orcapod.contexts import get_default_context - - ctx = get_default_context() - arrow_type = ctx.type_converter.register_python_class(uuid.UUID) - assert isinstance(arrow_type, pa.ExtensionType) - assert "uuid" in arrow_type.extension_name.lower() - - -# Comprehensive unregister tests for future implementation -# Uncomment when unregister methods are implemented -# -# def test_unregister_by_semantic_type_name(): -# registry = semantic_registry.SemanticTypeRegistry() -# python_type = Mock(name="PythonType") -# struct_type = Mock(name="StructType") -# converter = Mock() -# converter.python_type = python_type -# converter.arrow_struct_type = struct_type -# registry.register_converter("mock_type", converter) -# result = registry.unregister_by_semantic_type_name("mock_type") -# assert result == {"mock_type": converter} -# assert not registry.has_semantic_type("mock_type") -# assert not registry.has_python_type(python_type) -# assert not registry.has_semantic_struct_signature(struct_type) -# assert registry.get_converter_for_semantic_type("mock_type") is None -# assert registry.get_converter_for_python_type(python_type) is None -# assert registry.get_converter_for_struct_signature(struct_type) is None -# -# def test_unregister_by_converter(): -# registry = semantic_registry.SemanticTypeRegistry() -# python_type = Mock(name="PythonType") -# struct_type = Mock(name="StructType") -# converter = Mock() -# converter.python_type = python_type -# converter.arrow_struct_type = struct_type -# registry.register_converter("mock_type", converter) -# result = registry.unregister_by_converter(converter) -# assert result == {"mock_type": converter} -# assert not registry.has_semantic_type("mock_type") -# assert not registry.has_python_type(python_type) -# assert not registry.has_semantic_struct_signature(struct_type) -# assert registry.get_converter_for_semantic_type("mock_type") is None -# assert registry.get_converter_for_python_type(python_type) is None -# assert registry.get_converter_for_struct_signature(struct_type) is None -# -# def test_unregister_by_python_type(): -# registry = semantic_registry.SemanticTypeRegistry() -# python_type = Mock(name="PythonType") -# struct_type = Mock(name="StructType") -# converter = Mock() -# converter.python_type = python_type -# converter.arrow_struct_type = struct_type -# registry.register_converter("mock_type", converter) -# result = registry.unregister_by_python_type(python_type) -# assert result == {"mock_type": converter} -# assert not registry.has_semantic_type("mock_type") -# assert not registry.has_python_type(python_type) -# assert not registry.has_semantic_struct_signature(struct_type) -# assert registry.get_converter_for_semantic_type("mock_type") is None -# assert registry.get_converter_for_python_type(python_type) is None -# assert registry.get_converter_for_struct_signature(struct_type) is None -# -# def test_unregister_by_struct_signature(): -# registry = semantic_registry.SemanticTypeRegistry() -# python_type = Mock(name="PythonType") -# struct_type = Mock(name="StructType") -# converter = Mock() -# converter.python_type = python_type -# converter.arrow_struct_type = struct_type -# registry.register_converter("mock_type", converter) -# result = registry.unregister_by_struct_signature(struct_type) -# assert result == {"mock_type": converter} -# assert not registry.has_semantic_type("mock_type") -# assert not registry.has_python_type(python_type) -# assert not registry.has_semantic_struct_signature(struct_type) -# assert registry.get_converter_for_semantic_type("mock_type") is None -# assert registry.get_converter_for_python_type(python_type) is None -# assert registry.get_converter_for_struct_signature(struct_type) is None diff --git a/tests/test_semantic_types/test_semantic_struct_converters.py b/tests/test_semantic_types/test_semantic_struct_converters.py deleted file mode 100644 index 168f1a45..00000000 --- a/tests/test_semantic_types/test_semantic_struct_converters.py +++ /dev/null @@ -1,107 +0,0 @@ -from orcapod.semantic_types.semantic_struct_converters import ( - SemanticStructConverterBase, -) - - -class DummyConverter(SemanticStructConverterBase): - def __init__(self): - super().__init__("dummy") - self._python_type = dict - self._arrow_struct_type = "dummy_struct" - - @property - def python_type(self): - return self._python_type - - @property - def arrow_struct_type(self): - return self._arrow_struct_type - - def python_to_struct_dict(self, value): - return value - - def struct_dict_to_python(self, struct_dict): - return struct_dict - - def can_handle_python_type(self, python_type): - return python_type is dict - - def can_handle_struct_type(self, struct_type): - return struct_type == "dummy_struct" - - def is_semantic_struct(self, struct_dict): - return isinstance(struct_dict, dict) - - def hash_struct_dict(self, struct_dict): - return "dummyhash" - - -# --- SemanticStructConverterBase tests --- -def test_semantic_struct_converter_base_properties(): - converter = DummyConverter() - assert converter.semantic_type_name == "dummy" - assert converter.hasher_id == "dummy_content_sha256" - - - -def test_compute_content_hash(): - converter = DummyConverter() - data = b"abc" - result = converter._compute_content_hash(data) - import hashlib - - assert result.digest == hashlib.sha256(data).digest() - - -# --- PythonPathStructConverter tests --- - - -def test_extensibility_with_new_converter(): - class NewConverter(SemanticStructConverterBase): - def __init__(self): - super().__init__("newtype") - self._python_type = list - self._arrow_struct_type = "new_struct" - - @property - def python_type(self): - return self._python_type - - @property - def arrow_struct_type(self): - return self._arrow_struct_type - - def python_to_struct_dict(self, value): - return {"data": value} - - def struct_dict_to_python(self, struct_dict): - return struct_dict["data"] - - def can_handle_python_type(self, python_type): - return python_type is list - - def can_handle_struct_type(self, struct_type): - return struct_type == "new_struct" - - def is_semantic_struct(self, struct_dict): - return "data" in struct_dict - - def hash_struct_dict(self, struct_dict): - return "newhash" - - converter = NewConverter() - assert converter.semantic_type_name == "newtype" - assert converter.python_to_struct_dict([1, 2, 3]) == {"data": [1, 2, 3]} - assert converter.struct_dict_to_python({"data": [1, 2, 3]}) == [1, 2, 3] - assert converter.can_handle_python_type(list) - assert converter.can_handle_struct_type("new_struct") - assert converter.is_semantic_struct({"data": [1, 2, 3]}) - assert converter.hash_struct_dict({"data": [1, 2, 3]}) == "newhash" - - -# --- Edge cases --- -def test_dummy_converter_edge_cases(): - converter = DummyConverter() - assert converter.is_semantic_struct({}) - assert not converter.is_semantic_struct(None) - assert converter.hash_struct_dict({}) == "dummyhash" diff --git a/tests/test_semantic_types/test_universal_converter.py b/tests/test_semantic_types/test_universal_converter.py deleted file mode 100644 index d8032ed0..00000000 --- a/tests/test_semantic_types/test_universal_converter.py +++ /dev/null @@ -1,1029 +0,0 @@ -import uuid as _uuid_module -from datetime import datetime, timezone -from pathlib import Path -from typing import Any, cast - -import numpy as np -import polars as pl -import pyarrow as pa -import pytest - -from orcapod.contexts import get_default_context -from orcapod.extension_types.registry import ( - LogicalTypeRegistry, - make_arrow_extension_type, -) -from orcapod.semantic_types import universal_converter -from orcapod.semantic_types.universal_converter import UniversalTypeConverter - - -def test_python_type_to_arrow_type_basic(): - assert universal_converter.python_type_to_arrow_type(int) == pa.int64() - assert universal_converter.python_type_to_arrow_type(float) == pa.float64() - assert universal_converter.python_type_to_arrow_type(str) == pa.large_string() - assert universal_converter.python_type_to_arrow_type(bool) == pa.bool_() - assert universal_converter.python_type_to_arrow_type(bytes) == pa.large_binary() - - -def test_python_type_to_arrow_type_datetime(): - assert universal_converter.python_type_to_arrow_type(datetime) == pa.timestamp( - "us", tz="UTC" - ) - - -def test_arrow_type_to_python_type_timestamp_with_tz(): - assert ( - universal_converter.arrow_type_to_python_type(pa.timestamp("us", tz="UTC")) - is datetime - ) - - -def test_arrow_type_to_python_type_timestamp_no_tz(): - assert universal_converter.arrow_type_to_python_type(pa.timestamp("us")) is datetime - - -def test_datetime_converter_rejects_naive(): - to_arrow, _ = universal_converter.get_conversion_functions(datetime) - naive = datetime(2024, 1, 15, 12, 30, 45, 123456) # no tzinfo - with pytest.raises(ValueError, match="Naive datetime"): - to_arrow(naive) - - -def test_datetime_converter_rejects_stub_tzinfo(): - """Rejects datetimes whose tzinfo.utcoffset() returns None (effectively naive).""" - import datetime as dt_mod - - class StubTzInfo(dt_mod.tzinfo): - def utcoffset(self, d): - return None # technically set but semantically naive - - def tzname(self, d): - return "Stub" - - def dst(self, d): - return None - - to_arrow, _ = universal_converter.get_conversion_functions(datetime) - stub_aware = datetime(2024, 1, 15, 12, 30, 45, tzinfo=StubTzInfo()) - with pytest.raises(ValueError, match="Naive datetime"): - to_arrow(stub_aware) - - -def test_datetime_converter_accepts_aware(): - to_arrow, _ = universal_converter.get_conversion_functions(datetime) - aware = datetime(2024, 1, 15, 12, 30, 45, 123456, tzinfo=timezone.utc) - result = to_arrow(aware) - assert result == aware - - -def test_datetime_converter_accepts_non_utc_aware(): - """Non-UTC timezone-aware datetimes pass through the converter unchanged. - - PyArrow normalises the value to UTC when writing to a pa.timestamp("us", tz="UTC") - column; the converter itself does not normalise — it only enforces the timezone - policy for naive datetimes. - """ - import zoneinfo - - to_arrow, _ = universal_converter.get_conversion_functions(datetime) - eastern = zoneinfo.ZoneInfo("America/New_York") - non_utc = datetime(2024, 1, 15, 12, 30, 45, tzinfo=eastern) - result = to_arrow(non_utc) - assert result == non_utc # converter passes through unchanged - - -def test_datetime_converter_passes_none_through(): - """None passes through the datetime converter unchanged (PyArrow enforces nullability).""" - to_arrow, _ = universal_converter.get_conversion_functions(datetime) - assert to_arrow(None) is None - - -def test_tz_less_arrow_timestamp_reads_as_naive(): - """Reading a tz-less Arrow timestamp column produces naive (timezone-less) datetimes. - - PyArrow's ``.as_py()`` on a tz-less timestamp returns a naive datetime. The - converter passes it through unchanged — no UTC attachment. To write these values - back via the converter use the ``"coerce_utc"`` timezone policy, or attach timezone - info manually before calling ``python_dicts_to_arrow_table``. - """ - converter = get_default_context().type_converter - naive_ts = datetime(2024, 5, 1, 9, 0, 0) - table = pa.table({"ts": pa.array([naive_ts], type=pa.timestamp("us"))}) - - rows_out = converter.arrow_table_to_python_dicts(table) - result = rows_out[0]["ts"] - - assert result.tzinfo is None - assert result == datetime(2024, 5, 1, 9, 0, 0) - - -def test_datetime_coerce_utc_converts_naive(): - """coerce_utc policy attaches timezone.utc to naive datetimes instead of raising.""" - converter = UniversalTypeConverter(datetime_timezone="coerce_utc") - to_arrow = converter.get_python_to_arrow_converter(datetime) - naive = datetime(2024, 1, 15, 12, 30, 45, 123456) - result = to_arrow(naive) - assert result == datetime(2024, 1, 15, 12, 30, 45, 123456, tzinfo=timezone.utc) - - -def test_datetime_coerce_utc_preserves_aware(): - """coerce_utc policy leaves already-aware datetimes unchanged.""" - converter = UniversalTypeConverter(datetime_timezone="coerce_utc") - to_arrow = converter.get_python_to_arrow_converter(datetime) - aware = datetime(2024, 1, 15, 12, 30, 45, 123456, tzinfo=timezone.utc) - result = to_arrow(aware) - assert result == aware - - -def test_datetime_round_trip(): - converter = get_default_context().type_converter - ts = datetime(2024, 3, 15, 10, 30, 45, 123456, tzinfo=timezone.utc) - rows_in = [{"event": "launch", "ts": ts}] - - # No explicit schema — exercises schema inference from data (type(value) -> datetime) - table = converter.python_dicts_to_arrow_table(rows_in) - - # Arrow schema must use timestamp(us, UTC) and be non-nullable for a plain datetime field - assert table.schema.field("ts").type == pa.timestamp("us", tz="UTC") - assert table.schema.field("ts").nullable is False - - rows_out = converter.arrow_table_to_python_dicts(table) - assert len(rows_out) == 1 - assert rows_out[0]["event"] == "launch" - assert rows_out[0]["ts"] == ts - - -def test_optional_datetime_round_trip(): - converter = get_default_context().type_converter - ts = datetime(2024, 6, 1, 0, 0, 0, tzinfo=timezone.utc) - rows_in = [ - {"label": "a", "ts": ts}, - {"label": "b", "ts": None}, - ] - python_schema = {"label": str, "ts": datetime | None} - - table = converter.python_dicts_to_arrow_table(rows_in, python_schema=python_schema) - - assert table.schema.field("ts").type == pa.timestamp("us", tz="UTC") - assert table.schema.field("ts").nullable is True - - rows_out = converter.arrow_table_to_python_dicts(table) - assert rows_out[0]["ts"] == ts - assert rows_out[1]["ts"] is None - - -def test_python_type_to_arrow_type_numpy(): - assert universal_converter.python_type_to_arrow_type(np.int32) == pa.int32() - assert universal_converter.python_type_to_arrow_type(np.float64) == pa.float64() - assert universal_converter.python_type_to_arrow_type(np.bool_) == pa.bool_() - - -def test_python_type_to_arrow_type_custom(): - """Path converts to an Arrow extension type when the default LogicalTypeRegistry is wired in.""" - arrow_type = universal_converter.python_type_to_arrow_type(Path) - # Path is registered in the default logical_type_registry — expect an extension type. - assert isinstance(arrow_type, pa.ExtensionType) - assert arrow_type.extension_name == "orcapod.path" - assert pa.types.is_large_string(arrow_type.storage_type) - - -def test_python_type_to_arrow_type_upath(): - from upath import UPath - - arrow_type = universal_converter.python_type_to_arrow_type(UPath) - # UPath is registered in the default logical_type_registry — expect an extension type. - assert isinstance(arrow_type, pa.ExtensionType) - assert arrow_type.extension_name == "orcapod.upath" - assert pa.types.is_large_string(arrow_type.storage_type) - - -def test_optional_upath_converter(): - """Test that Optional[UPath] correctly converts UPath values via the LogicalTypeRegistry.""" - from upath import UPath - - to_arrow, to_python = universal_converter.get_conversion_functions(UPath | None) - - # UPath is registered — python_to_storage returns the string representation. - path = UPath("/tmp/test.txt") - result = to_arrow(path) - assert result == str(path) - - # Test with None - assert to_arrow(None) is None - - -def test_complex_union_raises_error(): - """Test that complex unions (multiple non-None types) raise ValueError.""" - from upath import UPath - - with pytest.raises(ValueError, match="Complex unions"): - universal_converter.get_conversion_functions(UPath | Path) - - with pytest.raises(ValueError, match="Complex unions"): - universal_converter.python_type_to_arrow_type(UPath | Path) - - -def test_python_type_to_arrow_type_context(): - ctx = get_default_context() - assert universal_converter.python_type_to_arrow_type(int, ctx) == pa.int64() - - -def test_python_type_to_arrow_type_unsupported(): - class CustomType: - pass - - with pytest.raises(Exception): - universal_converter.python_type_to_arrow_type(CustomType) - - -def test_arrow_type_to_python_type_basic(): - assert universal_converter.arrow_type_to_python_type(pa.int64()) is int - assert universal_converter.arrow_type_to_python_type(pa.float64()) is float - assert universal_converter.arrow_type_to_python_type(pa.large_string()) is str - assert universal_converter.arrow_type_to_python_type(pa.bool_()) is bool - assert universal_converter.arrow_type_to_python_type(pa.large_binary()) is bytes - - -def test_arrow_type_to_python_type_context(): - ctx = get_default_context() - assert universal_converter.arrow_type_to_python_type(pa.int64(), ctx) is int - - -def test_arrow_type_to_python_type_unsupported(): - class FakeArrowType: - pass - - with pytest.raises(Exception): - universal_converter.arrow_type_to_python_type( - cast(pa.DataType, FakeArrowType()) - ) - - -def test_get_conversion_functions_basic(): - to_arrow, to_python = universal_converter.get_conversion_functions(int) - assert callable(to_arrow) - assert callable(to_python) - assert to_arrow(42) == 42 - assert to_python(42) == 42 - - -def test_get_conversion_functions_custom(): - to_arrow, to_python = universal_converter.get_conversion_functions(str) - assert to_arrow("abc") == "abc" - assert to_python("abc") == "abc" - - -def test_get_conversion_functions_context(): - ctx = get_default_context() - to_arrow, to_python = universal_converter.get_conversion_functions(float, ctx) - assert to_arrow(1.5) == 1.5 - assert to_python(1.5) == 1.5 - - -def test_python_type_to_arrow_type_list(): - # Unparameterized list should raise ValueError - with pytest.raises(ValueError): - universal_converter.python_type_to_arrow_type(list) - - -def test_python_type_to_arrow_type_dict(): - # Unparameterized dict should raise ValueError - with pytest.raises(ValueError): - universal_converter.python_type_to_arrow_type(dict) - - -def test_python_type_to_arrow_type_list_of_dict(): - # For list[dict[str, int]], expect LargeListType of LargeListType of StructType - arrow_type = universal_converter.python_type_to_arrow_type(list[dict[str, int]]) - # Should be LargeListType - assert arrow_type.__class__.__name__.endswith("ListType") - # Next level should also be LargeListType - arrow_type = cast(pa.ListType, arrow_type) - inner_list = arrow_type.value_type - assert inner_list.__class__.__name__.endswith("ListType") - # Innermost should be StructType - struct_type = inner_list.value_type - assert isinstance(struct_type, pa.StructType) - assert struct_type[0].name == "key" - assert struct_type[0].type == pa.large_string() - assert struct_type[1].name == "value" - assert struct_type[1].type == pa.int64() - - -def test_python_type_to_arrow_type_dict_of_list(): - # dict[str, list[int]] should be a LargeListType of StructType, with value field as LargeListType - arrow_type = universal_converter.python_type_to_arrow_type(dict[str, list[int]]) - assert arrow_type.__class__.__name__.endswith("ListType") - arrow_type = cast(pa.ListType, arrow_type) - struct_type = arrow_type.value_type - assert isinstance(struct_type, pa.StructType) - assert struct_type[0].name == "key" - assert struct_type[0].type == pa.large_string() - assert struct_type[1].name == "value" - value_type = struct_type[1].type - assert value_type.__class__.__name__.endswith("ListType") - assert value_type.value_type == pa.int64() - - -def test_python_type_to_arrow_type_list_of_list(): - arrow_type = universal_converter.python_type_to_arrow_type(list[list[int]]) - assert arrow_type.__class__.__name__.endswith("ListType") - arrow_type = cast(pa.ListType, arrow_type) - inner_list = arrow_type.value_type - assert inner_list.__class__.__name__.endswith("ListType") - assert inner_list.value_type == pa.int64() - - -def test_python_type_to_arrow_type_deeply_nested(): - # dict[str, list[list[dict[str, float]]]] - complex_type = dict[str, list[list[dict[str, float]]]] - arrow_type = universal_converter.python_type_to_arrow_type(complex_type) - # Should be a LargeListType of StructType - assert arrow_type.__class__.__name__.endswith("ListType") - arrow_type = cast(pa.ListType, arrow_type) - struct_type = arrow_type.value_type - assert isinstance(struct_type, pa.StructType) - assert struct_type[0].name == "key" - assert struct_type[0].type == pa.large_string() - assert struct_type[1].name == "value" - outer_list = struct_type[1].type - assert outer_list.__class__.__name__.endswith("ListType") - inner_list = outer_list.value_type - assert inner_list.__class__.__name__.endswith("ListType") - inner_struct_list = inner_list.value_type - assert inner_struct_list.__class__.__name__.endswith("ListType") - inner_struct = inner_struct_list.value_type - assert isinstance(inner_struct, pa.StructType) - assert inner_struct[0].name == "key" - assert inner_struct[0].type == pa.large_string() - assert inner_struct[1].name == "value" - assert inner_struct[1].type == pa.float64() - - -# Roundtrip tests for complex types -def test_roundtrip_list_of_int(): - py_val = [1, 2, 3, 4] - to_arrow, to_python = universal_converter.get_conversion_functions(list[int]) - arr = to_arrow(py_val) - py_val2 = to_python(arr) - assert py_val == py_val2 - - -def test_roundtrip_dict_str_int(): - py_val = {"a": 1, "b": 2} - to_arrow, to_python = universal_converter.get_conversion_functions(dict[str, int]) - arr = to_arrow(py_val) - py_val2 = to_python(arr) - # dict roundtrip may come back as dict or list of pairs - if isinstance(py_val2, dict): - assert py_val == py_val2 - else: - # Accept list of pairs - assert sorted(py_val.items()) == sorted( - [(d["key"], d["value"]) for d in py_val2] - ) - - -def test_roundtrip_list_of_list_of_float(): - py_val = [[1.1, 2.2], [3.3, 4.4]] - to_arrow, to_python = universal_converter.get_conversion_functions( - list[list[float]] - ) - arr = to_arrow(py_val) - py_val2 = to_python(arr) - assert py_val == py_val2 - - -def test_roundtrip_set_of_int(): - py_val = {1, 2, 3} - to_arrow, to_python = universal_converter.get_conversion_functions(set[int]) - arr = to_arrow(py_val) - py_val2 = to_python(arr) - # set will come back as list - assert py_val != py_val2 - assert set(py_val) == set(py_val2) - - -def test_roundtrip_various_complex_types(): - cases = [ - ([1, 2, 3], list[int]), - ([["a", "b"], ["c"]], list[list[str]]), - ({"a": 1, "b": 2}, dict[str, int]), - ([{"x": 1.1, "y": 2.2}, {"x": 3.3, "y": 4.4}], list[dict[str, float]]), - ({"a": [1, 2], "b": [3]}, dict[str, list[int]]), - ( - [{"a": [1, 2]}, {"b": [3], "c": [4, 5, 6]}], - list[dict[str, list[int]]], - ), - ( - [[{"k": "a", "v": 1.1}, {"k": "b", "v": 2.2}], [{"k": "c", "v": 3.3}]], - list[list[dict[str, float]]], - ), - ( - {"outer": [{"inner": [1, 2]}, {"inner": [3, 4]}]}, - dict[str, list[dict[str, list[int]]]], - ), - ({"a": {"b": {"c": 42}}}, dict[str, dict[str, dict[str, int]]]), - ({"a": None, "b": 2}, dict[str, int]), - ( - [{"x": [1, 2], "y": [3, 4]}, {"x": [5], "y": [6, 7]}], - list[dict[str, list[int]]], - ), - ] - for py_val, typ in cases: - to_arrow, to_python = universal_converter.get_conversion_functions(typ) - arr = to_arrow(py_val) - py_val2 = to_python(arr) - assert py_val == py_val2, f"Failed roundtrip for type {typ} with value {py_val}" - - -def test_incomplete_roundtrip_types(): - cases = [({"a": {1, 2}, "b": {3}}, dict[str, set[int]], {"a": [1, 2], "b": [3]})] - - for py_val, typ, expected_return in cases: - to_arrow, to_python = universal_converter.get_conversion_functions(typ) - arr = to_arrow(py_val) - py_val2 = to_python(arr) - assert py_val2 == expected_return, ( - f"Failed roundtrip for type {typ} with value {py_val}" - ) - - -def test_roundtrip_minimal_key_list_issue(): - py_val = [{"test": [1, 2, 3], "next": [3, 4]}] - typ = list[dict[str, list[int]]] - to_arrow, to_python = universal_converter.get_conversion_functions(typ) - arr = to_arrow(py_val) - py_val2 = to_python(arr) - print("Original:", py_val) - print("Roundtrip:", py_val2) - assert py_val == py_val2 - - -def test_roundtrip_simpler_key_issue_dict_str_list(): - py_val = {"a": [1, 2]} - typ = dict[str, list[int]] - to_arrow, to_python = universal_converter.get_conversion_functions(typ) - arr = to_arrow(py_val) - py_val2 = to_python(arr) - print("Original dict[str, list[int]]:", py_val) - print("Roundtrip:", py_val2) - assert py_val == py_val2 - - -def test_roundtrip_simpler_key_issue_list_dict_str_int(): - py_val = [{"key": "a", "value": 1}] - typ = list[dict[str, int]] - to_arrow, to_python = universal_converter.get_conversion_functions(typ) - arr = to_arrow(py_val) - py_val2 = to_python(arr) - print("Original list[dict[str, int]]:", py_val) - print("Roundtrip:", py_val2) - assert py_val == py_val2 - - -def test_inspect_arrow_schema_dict_str_list(): - py_val = {"test": [1, 2]} - typ = dict[str, list[int]] - arrow_type = universal_converter.python_type_to_arrow_type(typ) - print("Arrow type for dict[str, list[int]]:", arrow_type) - to_arrow_struct, to_python = universal_converter.get_conversion_functions(typ) - arr = to_arrow_struct(py_val) - assert arr == [{"key": "test", "value": [1, 2]}] - - -def test_schema_as_required_strips_optional_fields(): - from orcapod.types import Schema - - s = Schema({"a": int, "b": str}, optional_fields=["b"]) - result = s.as_required() - assert result == Schema({"a": int, "b": str}) - assert result.optional_fields == frozenset() - - -def test_schema_as_required_idempotent(): - from orcapod.types import Schema - - s = Schema({"a": int, "b": str}, optional_fields=["a", "b"]) - once = s.as_required() - twice = s.as_required().as_required() - assert once == twice - - -def test_python_schema_to_arrow_non_nullable(): - """Plain types (no | None) must produce nullable=False Arrow fields.""" - from orcapod.types import Schema - - ctx = get_default_context() - schema = ctx.type_converter.python_schema_to_arrow_schema( - Schema({"a": int, "b": str, "c": float, "d": bool, "e": bytes}) - ) - for name in ("a", "b", "c", "d", "e"): - assert schema.field(name).nullable is False, ( - f"Field '{name}' should be nullable=False for a plain type" - ) - - -def test_python_schema_to_arrow_optional_nullable(): - """Optional types (T | None) must produce nullable=True Arrow fields.""" - from orcapod.types import Schema - - ctx = get_default_context() - schema = ctx.type_converter.python_schema_to_arrow_schema( - Schema({"x": int | None, "y": str | None}) - ) - assert schema.field("x").nullable is True - assert schema.field("y").nullable is True - - -def test_arrow_schema_to_python_nullable_becomes_optional(): - """nullable=True Arrow fields must reconstruct as T | None.""" - ctx = get_default_context() - arrow_schema = pa.schema([pa.field("x", pa.int64(), nullable=True)]) - python_schema = ctx.type_converter.arrow_schema_to_python_schema(arrow_schema) - assert python_schema["x"] == int | None - - -def test_arrow_schema_to_python_non_nullable_stays_plain(): - """nullable=False Arrow fields must reconstruct as plain T.""" - ctx = get_default_context() - arrow_schema = pa.schema([pa.field("x", pa.int64(), nullable=False)]) - python_schema = ctx.type_converter.arrow_schema_to_python_schema(arrow_schema) - assert python_schema["x"] == int - - -def test_round_trip_preserves_optionality(): - """Python schema → Arrow → Python schema is lossless for nullable/non-nullable.""" - from orcapod.types import Schema - - ctx = get_default_context() - original = Schema({"required": int, "nullable_field": int | None}) - arrow = ctx.type_converter.python_schema_to_arrow_schema(original) - recovered = ctx.type_converter.arrow_schema_to_python_schema(arrow) - - assert recovered["required"] == int - assert recovered["nullable_field"] == int | None - assert recovered == original - - -# --------------------------------------------------------------------------- -# ENG-389: Any <-> pa.null() round-trip -# --------------------------------------------------------------------------- - - -def test_any_to_arrow_type(): - """typing.Any maps to pa.null().""" - assert universal_converter.python_type_to_arrow_type(Any) == pa.null() - - -def test_list_any_to_arrow_type(): - """list[Any] maps to pa.large_list(pa.null()).""" - assert ( - universal_converter.python_type_to_arrow_type(list[Any]) - == pa.large_list(pa.null()) - ) - - -def test_dict_any_any_to_arrow_type(): - """dict[Any, Any] maps to pa.large_list(pa.struct([("key", pa.null()), ("value", pa.null())])).""" - expected = pa.large_list( - pa.struct([("key", pa.null()), ("value", pa.null())]) - ) - assert universal_converter.python_type_to_arrow_type(dict[Any, Any]) == expected - - -def test_null_arrow_to_any_python_type(): - """pa.null() maps back to typing.Any.""" - assert universal_converter.arrow_type_to_python_type(pa.null()) is Any - - -def test_list_any_round_trip(): - """list[Any] round-trips: list[Any] -> pa.large_list(pa.null()) -> list[Any].""" - arrow_type = universal_converter.python_type_to_arrow_type(list[Any]) - assert universal_converter.arrow_type_to_python_type(arrow_type) == list[Any] - - -def test_dict_any_any_round_trip(): - """dict[Any, Any] round-trips through Arrow and back to dict[Any, Any].""" - arrow_type = universal_converter.python_type_to_arrow_type(dict[Any, Any]) - assert universal_converter.arrow_type_to_python_type(arrow_type) == dict[Any, Any] - - -def test_empty_container_inference_to_arrow_no_error(): - """Inferring schema from empty containers and converting to Arrow does not raise.""" - from orcapod.semantic_types.pydata_utils import infer_python_schema_from_pylist_data - from orcapod.semantic_types.universal_converter import UniversalTypeConverter - - schema = infer_python_schema_from_pylist_data([{"items": [], "meta": {}}]) - converter = UniversalTypeConverter() - # Must not raise ValueError: Unsupported Python type: typing.Any - arrow_schema = converter.python_schema_to_arrow_schema(schema) - assert "items" in [f.name for f in arrow_schema] - assert "meta" in [f.name for f in arrow_schema] - - -def test_pyarrow_empty_list_with_null_type(): - """PyArrow accepts empty lists for pa.large_list(pa.null()) and pa.large_list(pa.struct(...)) columns.""" - schema = pa.schema([ - pa.field("items", pa.large_list(pa.null())), - pa.field("meta", pa.large_list(pa.struct([("key", pa.null()), ("value", pa.null())]))), - ]) - table = pa.Table.from_pylist([{"items": [], "meta": []}], schema=schema) - assert table.num_rows == 1 - assert table.schema.field("items").type == pa.large_list(pa.null()) - - -# ── LogicalTypeRegistry priority tests ─────────────────────────────────────── - - -def _make_logical_type_stub(py_type: type, arrow_name: str): - """Return a minimal LogicalTypeProtocol conforming stub.""" - _ArrowExtClass = make_arrow_extension_type(arrow_name, pa.large_string()) - - class _PolarsExt(pl.BaseExtension): - def __init__(self): - super().__init__(arrow_name, pl.String, None) - @classmethod - def ext_from_params(cls, ext_name, storage_dtype, metadata_str): - return cls() - - class _Stub: - logical_type_name = arrow_name - python_type = py_type - - def get_arrow_extension_type(self): - return _ArrowExtClass() - - def get_polars_extension_type(self): - return _PolarsExt() - - def python_to_storage(self, value): - return str(value) - - def storage_to_python(self, storage_value): - return storage_value - - return _Stub() - - -class _MyCustomClass: - pass - - -def test_converter_uses_logical_type_registry_for_registered_type(): - """When a LogicalType is registered, converter returns its Arrow extension type.""" - arrow_name = f"test.MyCustomClass.{_uuid_module.uuid4().hex[:8]}" - lt = _make_logical_type_stub(_MyCustomClass, arrow_name) - - registry = LogicalTypeRegistry() - registry.register_logical_type(lt) - - converter = UniversalTypeConverter(logical_type_registry=registry) - - result = converter.python_type_to_arrow_type(_MyCustomClass) - expected_ext = lt.get_arrow_extension_type() - assert result == expected_ext - - -def test_converter_falls_through_for_unregistered_type(): - """If type not in LogicalTypeRegistry, converter falls through to old system (int → int64).""" - registry = LogicalTypeRegistry() - converter = UniversalTypeConverter(logical_type_registry=registry) - - result = converter.python_type_to_arrow_type(int) - assert result == pa.int64() - - -def test_converter_without_registry_unchanged(): - """With no logical_type_registry, converter behaves exactly as before.""" - converter = UniversalTypeConverter() - assert converter.python_type_to_arrow_type(str) == pa.large_string() - - -def test_data_context_type_converter_holds_logical_type_registry(): - """DataContext's type_converter has a non-None _logical_type_registry.""" - from orcapod.contexts import get_default_context - ctx = get_default_context() - assert hasattr(ctx.type_converter, "_logical_type_registry") - assert ctx.type_converter._logical_type_registry is not None - - -# ── Helpers for new tests ──────────────────────────────────────────────────── - -import dataclasses -import pathlib -from typing import Optional - -from orcapod.extension_types.registry import make_polars_extension_type - - -def _make_registry_with_builtins() -> LogicalTypeRegistry: - """Registry with LogicalPath, LogicalUUID, LogicalUPath pre-registered.""" - from orcapod.extension_types.builtin_logical_types import LogicalPath, LogicalUUID, LogicalUPath - return LogicalTypeRegistry(logical_types=[LogicalPath(), LogicalUUID(), LogicalUPath()]) - - -def _make_converter(registry: LogicalTypeRegistry | None = None) -> UniversalTypeConverter: - if registry is None: - registry = _make_registry_with_builtins() - return UniversalTypeConverter(logical_type_registry=registry) - - -# ── register_python_class tests ────────────────────────────────────────────── - -def test_register_python_class_primitive_int(): - converter = _make_converter() - assert converter.register_python_class(int) == pa.int64() - - -def test_register_python_class_primitive_str(): - converter = _make_converter() - assert converter.register_python_class(str) == pa.large_string() - - -def test_register_python_class_list_of_int(): - converter = _make_converter() - result = converter.register_python_class(list[int]) - assert result == pa.large_list(pa.int64()) - - -def test_register_python_class_optional_str(): - converter = _make_converter() - result = converter.register_python_class(Optional[str]) - assert result == pa.large_string() - - -def test_register_python_class_dict_str_int(): - converter = _make_converter() - result = converter.register_python_class(dict[str, int]) - expected = pa.large_list(pa.struct([pa.field("key", pa.large_string()), pa.field("value", pa.int64())])) - assert result == expected - - -def test_register_python_class_set_of_str(): - converter = _make_converter() - result = converter.register_python_class(set[str]) - assert result == pa.large_list(pa.large_string()) - - -def test_register_python_class_registry_hit_path(): - """pathlib.Path is pre-registered → returns the orcapod.path extension type.""" - converter = _make_converter() - result = converter.register_python_class(pathlib.Path) - assert isinstance(result, pa.ExtensionType) - assert result.extension_name == "orcapod.path" - - -def test_register_python_class_uuid_registry_hit(): - converter = _make_converter() - result = converter.register_python_class(_uuid_module.UUID) - assert isinstance(result, pa.ExtensionType) - assert result.extension_name == "orcapod.uuid" - - -def test_register_python_class_factory_dispatch(): - """A custom class triggers factory synthesis and caches the result.""" - import uuid as _u - - class _Base: - pass - - class _Child(_Base): - pass - - ext_name = f"test.custom.{_u.uuid4().hex[:8]}" - ArrowExt = make_arrow_extension_type(ext_name, pa.large_string()) - PolarsExt = make_polars_extension_type(ext_name, pa.large_string()) - synthesized_calls = [] - - class _Factory: - def supports_class(self, python_type): - return issubclass(python_type, _Base) - def create_for_python_type(self, python_type, converter): - synthesized_calls.append(python_type) - class _LT: - logical_type_name = ext_name - python_type_ = _Child - python_type = _Child - def get_arrow_extension_type(self): return ArrowExt() - def get_polars_extension_type(self): return PolarsExt() - def python_to_storage(self, v, c=None): return str(v) - def storage_to_python(self, v, c=None): return v - return _LT() - def reconstruct_from_arrow(self, name, storage, meta, converter): pass - - registry = _make_registry_with_builtins() - registry.register_logical_type_factory(_Factory(), python_bases=[_Base]) - converter = _make_converter(registry) - - result = converter.register_python_class(_Child) - assert isinstance(result, pa.ExtensionType) - assert result.extension_name == ext_name - assert _Child in synthesized_calls - - # Second call is a registry hit — factory NOT called again - result2 = converter.register_python_class(_Child) - assert result2 == result - assert len(synthesized_calls) == 1 - - -def test_register_python_class_cycle_detection(): - """Cyclic type synthesis raises TypeError.""" - - class _CycleClass: - pass - - class _CycleFactory: - def supports_class(self, python_type): - return python_type is _CycleClass - def create_for_python_type(self, python_type, converter): - # Intentionally trigger a cycle - converter.register_python_class(_CycleClass) - def reconstruct_from_arrow(self, name, storage, meta, converter): pass - - registry = _make_registry_with_builtins() - registry.register_logical_type_factory(_CycleFactory(), python_bases=[_CycleClass]) - converter = _make_converter(registry) - - with pytest.raises(TypeError, match="[Cc]ircular"): - converter.register_python_class(_CycleClass) - - -def test_register_python_class_list_of_uuid_raises(): - """list[UUID] raises ValueError: UUID is a logical type and cannot be preserved - inside a list value field (ET2 in DESIGN_ISSUES.md). Tracked in PLT-1732.""" - converter = _make_converter() - with pytest.raises(ValueError, match="PLT-1732"): - converter.register_python_class(list[_uuid_module.UUID]) - - -def test_register_python_class_dict_str_uuid_raises(): - """dict[str, UUID] raises ValueError: UUID is a logical type and cannot be preserved - inside a struct field (ET1/ET2 in DESIGN_ISSUES.md). Tracked in PLT-1732.""" - converter = _make_converter() - with pytest.raises(ValueError, match="PLT-1732"): - converter.register_python_class(dict[str, _uuid_module.UUID]) - - -# ── register_storage_type tests ────────────────────────────────────────────── - -def test_register_storage_type_primitive_int(): - converter = _make_converter() - assert converter.register_storage_type(pa.int64()) == pa.int64() - - -def test_register_storage_type_primitive_large_string(): - converter = _make_converter() - assert converter.register_storage_type(pa.large_string()) == pa.large_string() - - -def test_register_storage_type_extension_type_registry_hit(): - """An already-registered extension type is returned unchanged (no-op).""" - converter = _make_converter() - from orcapod.extension_types.builtin_logical_types import LogicalUUID - uuid_ext = LogicalUUID().get_arrow_extension_type() - result = converter.register_storage_type(uuid_ext) - assert isinstance(result, pa.ExtensionType) - assert result.extension_name == "orcapod.uuid" - - -def test_register_storage_type_struct_recurses(): - """Structs are traversed field by field; resolved field types are returned.""" - converter = _make_converter() - struct_type = pa.struct([pa.field("name", pa.large_string()), pa.field("count", pa.int64())]) - result = converter.register_storage_type(struct_type) - assert pa.types.is_struct(result) - assert result.field("name").type == pa.large_string() - assert result.field("count").type == pa.int64() - - -def test_register_storage_type_large_list_recurses(): - converter = _make_converter() - list_type = pa.large_list(pa.int32()) - result = converter.register_storage_type(list_type) - assert pa.types.is_large_list(result) - assert result.value_type == pa.int32() - - -def test_register_storage_type_extension_miss_dispatches_to_factory(): - """An unregistered extension type triggers factory.reconstruct_from_arrow.""" - import json - import uuid as _u - - ext_name = f"test.reconstruct.{_u.uuid4().hex[:8]}" - category = "test.reconstruct" - metadata = json.dumps({"category": category}).encode() - ArrowExt = make_arrow_extension_type(ext_name, pa.large_string(), metadata=metadata) - PolarsExt = make_polars_extension_type(ext_name, pa.large_string()) - - class _LT: - logical_type_name = ext_name - python_type = str - def get_arrow_extension_type(self): return ArrowExt() - def get_polars_extension_type(self): return PolarsExt() - def python_to_storage(self, v, c=None): return str(v) - def storage_to_python(self, v, c=None): return v - - class _Factory: - def supports_class(self, t): return False - def create_for_python_type(self, t, converter): pass - def reconstruct_from_arrow(self, name, storage_type, meta, converter): - return _LT() - - registry = _make_registry_with_builtins() - registry.register_logical_type_factory(_Factory(), category=category) - converter = _make_converter(registry) - - ext_instance = ArrowExt() - result = converter.register_storage_type(ext_instance) - assert isinstance(result, pa.ExtensionType) - assert result.extension_name == ext_name - - # Second call: registry hit → same result, factory NOT called again - result2 = converter.register_storage_type(ext_instance) - assert result2.extension_name == ext_name - - -def test_register_storage_type_nested_struct_with_extension(): - """Extension type nested inside a struct field is stripped to storage type (ET1).""" - import json - import uuid as _u - - ext_name = f"test.nested.{_u.uuid4().hex[:8]}" - category = "test.nested" - metadata = json.dumps({"category": category}).encode() - ArrowExt = make_arrow_extension_type(ext_name, pa.large_string(), metadata=metadata) - PolarsExt = make_polars_extension_type(ext_name, pa.large_string()) - - class _LT: - logical_type_name = ext_name - python_type = str - def get_arrow_extension_type(self): return ArrowExt() - def get_polars_extension_type(self): return PolarsExt() - def python_to_storage(self, v, c=None): return str(v) - def storage_to_python(self, v, c=None): return v - - class _Factory: - def supports_class(self, t): return False - def create_for_python_type(self, t, converter): pass - def reconstruct_from_arrow(self, name, storage_type, meta, converter): - return _LT() - - registry = _make_registry_with_builtins() - registry.register_logical_type_factory(_Factory(), category=category) - converter = _make_converter(registry) - - ext_instance = ArrowExt() - struct_with_ext = pa.struct([pa.field("id", pa.int64()), pa.field("tag", ext_instance)]) - result = converter.register_storage_type(struct_with_ext) - - assert pa.types.is_struct(result) - assert result.field("id").type == pa.int64() - # Storage-safe: extension type inside struct field is stripped to its storage type - assert result.field("tag").type == pa.large_string() - assert not isinstance(result.field("tag").type, pa.ExtensionType) - # Side effect: the extension type IS registered (check via registry) - assert converter._logical_type_registry.get_by_arrow_extension_name(ext_name) is not None - - -# ── python_to_storage / storage_to_python / pass-through tests ─────────────── - -def test_python_to_storage_for_registered_type(): - """python_to_storage uses the logical type's converter for registered types.""" - converter = _make_converter() - result = converter.python_to_storage(pathlib.Path("/tmp/bar"), pathlib.Path) - assert result == "/tmp/bar" - - -def test_storage_to_python_for_registered_type(): - converter = _make_converter() - result = converter.storage_to_python("/tmp/bar", pathlib.Path) - assert isinstance(result, pathlib.Path) - assert result == pathlib.Path("/tmp/bar") - - -def test_python_to_storage_for_int(): - converter = _make_converter() - assert converter.python_to_storage(42, int) == 42 - - -def test_register_logical_type_passthrough(): - from orcapod.extension_types.builtin_logical_types import LogicalPath - registry = LogicalTypeRegistry() - converter = UniversalTypeConverter(logical_type_registry=registry) - lt = LogicalPath() - converter.register_logical_type(lt) - assert registry.get_by_python_type(pathlib.Path) is lt - - -def test_register_logical_type_factory_passthrough(): - class _Factory: - def supports_class(self, t): return False - def create_for_python_type(self, t, converter): pass - def reconstruct_from_arrow(self, name, storage, meta, converter): pass - - registry = LogicalTypeRegistry() - converter = UniversalTypeConverter(logical_type_registry=registry) - factory = _Factory() - converter.register_logical_type_factory(factory, category="test.cat") - assert registry._category_factories.get("test.cat") is factory diff --git a/tests/test_semantic_types/test_upath_struct_converter.py b/tests/test_semantic_types/test_upath_struct_converter.py deleted file mode 100644 index ccfe014f..00000000 --- a/tests/test_semantic_types/test_upath_struct_converter.py +++ /dev/null @@ -1,148 +0,0 @@ -from pathlib import Path -from typing import cast - -import pytest -from upath import UPath - -from orcapod.hashing.file_hashers import BasicFileHasher -from orcapod.semantic_types.semantic_struct_converters import UPathStructConverter - - -@pytest.fixture -def file_hasher(): - return BasicFileHasher(algorithm="sha256") - - -@pytest.fixture -def converter(file_hasher): - return UPathStructConverter(file_hasher=file_hasher) - - -def test_upath_to_struct_and_back(converter): - path_obj = UPath("/tmp/test.txt") - struct_dict = converter.python_to_struct_dict(path_obj) - assert struct_dict["upath"] == str(path_obj) - restored = converter.struct_dict_to_python(struct_dict) - assert isinstance(restored, UPath) - assert str(restored) == str(path_obj) - - -def test_upath_to_struct_invalid_type(converter): - with pytest.raises(TypeError): - converter.python_to_struct_dict(Path("/tmp/test.txt")) # type: ignore - - -def test_struct_to_python_missing_field(converter): - with pytest.raises(ValueError): - converter.struct_dict_to_python({}) - - -def test_can_handle_python_type(converter): - assert converter.can_handle_python_type(UPath) - assert not converter.can_handle_python_type(str) - assert not converter.can_handle_python_type(Path) - - -def test_can_handle_struct_type(converter): - struct_type = converter.arrow_struct_type - assert converter.can_handle_struct_type(struct_type) - - -def test_is_semantic_struct(converter): - assert converter.is_semantic_struct({"upath": "/tmp/test.txt"}) - assert not converter.is_semantic_struct({"path": "/tmp/test.txt"}) - assert not converter.is_semantic_struct({"upath": 123}) - - -def test_hash_struct_dict_file_not_found(converter, tmp_path): - struct_dict = {"upath": str(tmp_path / "does_not_exist.txt")} - with pytest.raises(FileNotFoundError): - converter.hash_struct_dict(struct_dict) - - -def test_hash_struct_dict_is_directory(converter, tmp_path): - struct_dict = {"upath": str(tmp_path)} - with pytest.raises(IsADirectoryError): - converter.hash_struct_dict(struct_dict) - - -def test_hash_struct_dict_content_based(converter, tmp_path): - """Two distinct files with identical content produce the same hash.""" - file1 = tmp_path / "file1.txt" - file2 = tmp_path / "file2.txt" - content = "identical content" - file1.write_text(content) - file2.write_text(content) - hash1 = converter.hash_struct_dict({"upath": str(file1)}) - hash2 = converter.hash_struct_dict({"upath": str(file2)}) - assert hash1 == hash2 - - -def test_hash_struct_dict_with_prefix(converter, tmp_path): - """Hash always starts with 'upath:sha256:'.""" - file = tmp_path / "file.txt" - file.write_text("hello") - hash_str = converter.hash_struct_dict({"upath": str(file)}) - assert hash_str.startswith("upath:sha256:") - - -def test_hash_struct_dict_different_content(converter, tmp_path): - """Same path with modified content yields a different hash.""" - file = tmp_path / "mutable.txt" - file.write_text("version 1") - hash1 = converter.hash_struct_dict({"upath": str(file)}) - file.write_text("version 2") - hash2 = converter.hash_struct_dict({"upath": str(file)}) - assert hash1 != hash2 - - -def test_hash_struct_dict_missing_field(converter): - with pytest.raises(ValueError, match="Missing 'upath' field"): - converter.hash_struct_dict({}) - - -def test_upath_arrow_struct_type(converter): - """The Arrow struct type has a single 'upath' field of large_string.""" - import pyarrow as pa - - struct_type = converter.arrow_struct_type - assert isinstance(struct_type, pa.StructType) - assert len(struct_type) == 1 - assert struct_type[0].name == "upath" - assert struct_type[0].type == pa.large_string() - - -def test_path_and_upath_struct_types_differ(): - """Path and UPath converters produce distinct Arrow struct types.""" - from orcapod.semantic_types.semantic_struct_converters import PythonPathStructConverter - - file_hasher = BasicFileHasher(algorithm="sha256") - path_conv = PythonPathStructConverter(file_hasher=file_hasher) - upath_conv = UPathStructConverter(file_hasher=file_hasher) - - assert path_conv.arrow_struct_type != upath_conv.arrow_struct_type - assert path_conv.arrow_struct_type[0].name == "path" - assert upath_conv.arrow_struct_type[0].name == "upath" - - -def test_path_converter_rejects_upath(): - """PythonPathStructConverter rejects UPath instances to avoid ambiguity.""" - from orcapod.semantic_types.semantic_struct_converters import PythonPathStructConverter - - file_hasher = BasicFileHasher(algorithm="sha256") - path_conv = PythonPathStructConverter(file_hasher=file_hasher) - - upath_val = UPath("/tmp/test.txt") - with pytest.raises(TypeError, match="not UPath"): - path_conv.python_to_struct_dict(upath_val) - - -def test_path_converter_cannot_handle_upath_type(): - """PythonPathStructConverter.can_handle_python_type returns False for UPath.""" - from orcapod.semantic_types.semantic_struct_converters import PythonPathStructConverter - - file_hasher = BasicFileHasher(algorithm="sha256") - path_conv = PythonPathStructConverter(file_hasher=file_hasher) - - assert not path_conv.can_handle_python_type(UPath) - assert path_conv.can_handle_python_type(Path) diff --git a/tests/test_semantic_types/test_uuid_struct_converter.py b/tests/test_semantic_types/test_uuid_struct_converter.py deleted file mode 100644 index c8084991..00000000 --- a/tests/test_semantic_types/test_uuid_struct_converter.py +++ /dev/null @@ -1,134 +0,0 @@ -"""Tests for UUIDStructConverter.""" -import uuid - -import pyarrow as pa -import pytest - -from orcapod.semantic_types.semantic_struct_converters import UUIDStructConverter - - -@pytest.fixture -def converter(): - return UUIDStructConverter() - - -@pytest.fixture -def sample_uuid(): - return uuid.UUID("550e8400-e29b-41d4-a716-446655440000") - - -def test_python_type(converter): - assert converter.python_type is uuid.UUID - - -def test_arrow_struct_type(converter): - assert converter.arrow_struct_type == pa.struct([pa.field("uuid", pa.binary(16))]) - - -def test_semantic_type_name(converter): - assert converter.semantic_type_name == "uuid" - - -def test_python_to_struct_dict(converter, sample_uuid): - result = converter.python_to_struct_dict(sample_uuid) - assert result == {"uuid": sample_uuid.bytes} - assert isinstance(result["uuid"], bytes) - assert len(result["uuid"]) == 16 - - -def test_python_to_struct_dict_rejects_non_uuid(converter): - with pytest.raises(TypeError): - converter.python_to_struct_dict("550e8400-e29b-41d4-a716-446655440000") # type: ignore - - -def test_struct_dict_to_python(converter, sample_uuid): - struct_dict = {"uuid": sample_uuid.bytes} - result = converter.struct_dict_to_python(struct_dict) - assert result == sample_uuid - assert isinstance(result, uuid.UUID) - - -def test_struct_dict_to_python_from_bytearray(converter, sample_uuid): - """Arrow may return binary fields as bytearray — must handle both.""" - struct_dict = {"uuid": bytearray(sample_uuid.bytes)} - result = converter.struct_dict_to_python(struct_dict) - assert result == sample_uuid - - -def test_struct_dict_to_python_missing_field(converter): - with pytest.raises(ValueError, match="Missing 'uuid' field"): - converter.struct_dict_to_python({}) - - -def test_round_trip(converter, sample_uuid): - struct_dict = converter.python_to_struct_dict(sample_uuid) - recovered = converter.struct_dict_to_python(struct_dict) - assert recovered == sample_uuid - - -def test_round_trip_all_versions(): - """Verify round-trip works for uuid4, uuid5, and uuid7 (uuid_utils). - - ``uuid_utils.UUID`` objects do not inherit from ``uuid.UUID`` and their - ``__eq__`` does not cross-compare with ``uuid.UUID``, so we compare by - the canonical string representation instead of direct equality. - """ - from uuid_utils import uuid7 - - converter = UUIDStructConverter() - for u in [uuid.uuid4(), uuid.uuid5(uuid.NAMESPACE_OID, "test"), uuid7()]: - recovered = converter.struct_dict_to_python(converter.python_to_struct_dict(u)) - assert str(recovered) == str(u) - - -def test_arrow_array_round_trip(converter, sample_uuid): - """Verify UUID survives a PyArrow array round-trip.""" - struct_dict = converter.python_to_struct_dict(sample_uuid) - arr = pa.array([struct_dict], type=pa.struct([pa.field("uuid", pa.binary(16))])) - recovered_dict = arr[0].as_py() - recovered_uuid = converter.struct_dict_to_python(recovered_dict) - assert recovered_uuid == sample_uuid - - -def test_distinct_uuids_produce_distinct_struct_dicts(converter): - u1, u2 = uuid.uuid4(), uuid.uuid4() - assert converter.python_to_struct_dict(u1) != converter.python_to_struct_dict(u2) - - -def test_can_handle_python_type_uuid(converter): - assert converter.can_handle_python_type(uuid.UUID) is True - - -def test_can_handle_python_type_rejects_str(converter): - assert converter.can_handle_python_type(str) is False - - -def test_can_handle_struct_type_uuid(converter): - assert converter.can_handle_struct_type(pa.struct([pa.field("uuid", pa.binary(16))])) is True - - -def test_can_handle_struct_type_rejects_other(converter): - import pyarrow as pa - - assert converter.can_handle_struct_type(pa.struct([pa.field("path", pa.large_string())])) is False - - -def test_hash_struct_dict_returns_string(converter, sample_uuid): - struct_dict = converter.python_to_struct_dict(sample_uuid) - result = converter.hash_struct_dict(struct_dict) - assert isinstance(result, str) - assert len(result) > 0 - - -def test_hash_struct_dict_consistent(converter, sample_uuid): - """Same UUID always produces the same hash.""" - struct_dict = converter.python_to_struct_dict(sample_uuid) - assert converter.hash_struct_dict(struct_dict) == converter.hash_struct_dict(struct_dict) - - -def test_hash_struct_dict_different_uuids(converter): - """Different UUIDs produce different hashes.""" - u1, u2 = uuid.uuid4(), uuid.uuid4() - d1 = converter.python_to_struct_dict(u1) - d2 = converter.python_to_struct_dict(u2) - assert converter.hash_struct_dict(d1) != converter.hash_struct_dict(d2) From bf52493241ad79650e13b3ae1ca4d82fe00d455f Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 19:43:24 +0000 Subject: [PATCH 192/206] fix(PLT-1660): fix broken get_default_arrow_hasher, add passthrough test, fix stale log message - get_default_arrow_hasher(): remove broken set_cacher() call and cache_file_hash param; StarfixArrowHasher has no set_cacher method. Replaced with a simple delegate to get_default_context().arrow_hasher. - semantic_hasher.py: update stale log message from SemanticHasherProtocol (non-strict) to SemanticAwarePythonHasher (non-strict) with more descriptive text. - test_extension_type_hashing.py: add test_unregistered_python_type_passes_through to TestSemanticHashingVisitorExtension covering the branch where extension type is recognized but has no semantic hasher registered. Note: Fix 2 (remove pa.Table/pa.RecordBatch from v0.1.json) was not applied because Datagram.identity_structure() explicitly depends on ArrowTableSemanticHasher being registered to hash pa.Table objects (documented in datagram.py docstring). Removing these entries breaks 1 test (test_merge_join) and the fundamental design. The lazy context resolution in ArrowTableSemanticHasher._get_arrow_hasher() already handles the circular dependency concern raised in the review. Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/hashing/defaults.py | 45 +++---------------- .../semantic_hashing/semantic_hasher.py | 2 +- .../test_extension_type_hashing.py | 23 ++++++++++ 3 files changed, 31 insertions(+), 39 deletions(-) diff --git a/src/orcapod/hashing/defaults.py b/src/orcapod/hashing/defaults.py index 0dc8b6c2..21034936 100644 --- a/src/orcapod/hashing/defaults.py +++ b/src/orcapod/hashing/defaults.py @@ -49,46 +49,15 @@ def get_default_semantic_hasher() -> hp.SemanticHasherProtocol: return get_default_context().semantic_hasher -def get_default_arrow_hasher( - cache_file_hash: bool | hp.StringCacherProtocol = True, -) -> hp.ArrowHasherProtocol: - """ - Return the ArrowHasherProtocol from the default data context. - - If ``cache_file_hash`` is True an in-memory StringCacherProtocol is attached to - the hasher so that repeated hashes of the same file path are served from - cache. Pass a ``StringCacherProtocol`` instance to use a custom caching backend - (e.g. SQLite-backed). - - Note: caching is applied on top of the context's arrow hasher each time - this function is called. If you need a single shared cached instance, - obtain it once and store it yourself. +def get_default_arrow_hasher() -> hp.ArrowHasherProtocol: + """Return the ArrowHasherProtocol from the default data context. - Args: - cache_file_hash: True to use an ephemeral in-memory cache, a - StringCacherProtocol instance to use a custom cache, or False/None to - disable caching. + Note: file-hash caching (formerly via ``set_cacher``) has been removed. + ``StarfixArrowHasher`` does not support per-path caching. Use + ``CachedFileHasher`` when constructing a custom context if caching is needed. Returns: - ArrowHasherProtocol: The arrow hasher from the default data context, - optionally with file-hash caching attached. + ArrowHasherProtocol: The arrow hasher from the default data context. """ - from typing import Any - from orcapod.contexts import get_default_context - - arrow_hasher: Any = get_default_context().arrow_hasher - - if cache_file_hash: - from orcapod.hashing.string_cachers import InMemoryCacher - - if cache_file_hash is True: - string_cacher: hp.StringCacherProtocol = InMemoryCacher(max_size=None) - else: - string_cacher = cache_file_hash - - # set_cacher is present on StarfixArrowHasher but not on the - # ArrowHasherProtocol protocol, so we call it via Any to avoid a type error. - arrow_hasher.set_cacher("path", string_cacher) - - return arrow_hasher + return get_default_context().arrow_hasher diff --git a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py index bcc18b51..300f6987 100644 --- a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py +++ b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py @@ -391,7 +391,7 @@ def _handle_unknown(self, obj: Any) -> str: ) logger.warning( - "SemanticHasherProtocol (non-strict): no handler for type '%s'. " + "SemanticAwarePythonHasher (non-strict): no PythonTypeSemanticHasherProtocol registered for type '%s'. " "Falling back to best-effort string representation.", qualified, ) diff --git a/tests/test_hashing/test_extension_type_hashing.py b/tests/test_hashing/test_extension_type_hashing.py index f371ef9b..56a8d822 100644 --- a/tests/test_hashing/test_extension_type_hashing.py +++ b/tests/test_hashing/test_extension_type_hashing.py @@ -121,3 +121,26 @@ def test_null_value_passthrough(self, ctx): assert new_type == arrow_type assert new_data is None + + def test_unregistered_python_type_passes_through(self, ctx): + """Extension types with no registered semantic hasher pass through unchanged.""" + import uuid + from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeSemanticHasherRegistry + from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher + + # Build a hasher with a registry that has NO entry for UUID + empty_registry = PythonTypeSemanticHasherRegistry() + stripped_hasher = SemanticAwarePythonHasher( + hasher_id="test_v0", + type_semantic_hasher_registry=empty_registry, + ) + + arrow_type = ctx.type_converter.register_python_class(uuid.UUID) + storage_val = ctx.type_converter.python_to_storage(uuid.UUID("12345678-1234-5678-1234-567812345678"), uuid.UUID) + + visitor = SemanticHashingVisitor(ctx.type_converter, stripped_hasher) + new_type, new_data = visitor.visit(arrow_type, storage_val) + + # Should be completely unchanged since UUID has no semantic hasher + assert new_type == arrow_type + assert new_data == storage_val From 23fcaa7744220b7398a75c2717ea69250c3f84ac Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 20:39:12 +0000 Subject: [PATCH 193/206] docs(PLT-1660): add implementation plan for hard-cut extension type hashing --- ...lt-1660-hard-cut-extension-type-hashing.md | 2466 +++++++++++++++++ 1 file changed, 2466 insertions(+) create mode 100644 superpowers/plans/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md diff --git a/superpowers/plans/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md b/superpowers/plans/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md new file mode 100644 index 00000000..a4642fdb --- /dev/null +++ b/superpowers/plans/2026-06-24-plt-1660-hard-cut-extension-type-hashing.md @@ -0,0 +1,2466 @@ +# PLT-1660: Hard Cut Extension Type Hashing — Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use sensei:subagent-driven-development (recommended) or sensei:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Delete the old shape-based `SemanticTypeRegistry` system, wire the new extension-type system into Arrow hashing, and rename all protocol/registry/handler classes to cleaner names. + +**Architecture:** `ArrowTypeDataVisitor` gains a `visit_extension()` hook (default: passthrough). `SemanticHashingVisitor` overrides it: for extension types whose Python counterpart has a registered semantic hasher, it converts the value to a Python object, hashes it, and stores the result as `pa.large_binary()` in the format `:::`. Unrecognized extension types pass through unmodified — starfix still sees their full metadata. All `TypeHandlerProtocol.handle()->Any` handlers are tightened to `PythonTypeSemanticHasherProtocol.hash()->ContentHash`. + +**Tech Stack:** Python 3.10+, PyArrow extension types, starfix-python, uv/pytest + +--- + +## File Map + +**Modified source:** +- `src/orcapod/protocols/hashing_protocols.py` — rename `TypeHandlerProtocol`→`PythonTypeSemanticHasherProtocol`, `handle()`→`hash()->ContentHash`; rename `type_handler_registry`→`type_semantic_hasher_registry` on `SemanticHasherProtocol` +- `src/orcapod/hashing/semantic_hashing/type_handler_registry.py` — rename class + all methods +- `src/orcapod/hashing/semantic_hashing/builtin_handlers.py` — rename 11 handler classes; `handle()`→`hash()->ContentHash`; rename `register_builtin_handlers` +- `src/orcapod/hashing/semantic_hashing/semantic_hasher.py` — rename `BaseSemanticHasher`→`SemanticAwarePythonHasher`; simplify dispatch; rename property +- `src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py` — update import + type annotations +- `src/orcapod/hashing/semantic_hashing/__init__.py` — update exports +- `src/orcapod/hashing/__init__.py` — update exports +- `src/orcapod/hashing/defaults.py` — rename function; update property access; remove broken `set_cacher` call +- `src/orcapod/hashing/visitors.py` — add `visit_extension` to base class + rewrite `SemanticHashingVisitor` +- `src/orcapod/hashing/arrow_hashers.py` — update `StarfixArrowHasher` constructor + short-circuit; delete `SemanticArrowHasher` +- `src/orcapod/hashing/versioned_hashers.py` — source `StarfixArrowHasher` from context; rename imports +- `src/orcapod/contexts/data/v0.1.json` — reorder components; remove `semantic_registry`; update class names and refs; add `type_converter`+`semantic_hasher` to `arrow_hasher`; remove `pa.Table` handlers (cycle-break) +- `src/orcapod/contexts/data/schemas/context_schema.json` — remove `semantic_registry` property; rename `type_handler_registry`→`python_type_semantic_hasher_registry` +- `src/orcapod/contexts/core.py` — update docstring for renamed property +- `src/orcapod/semantic_types/__init__.py` — remove `SemanticTypeRegistry` export +- `src/orcapod/protocols/semantic_types_protocols.py` — delete `SemanticStructConverterProtocol` + +**Deleted source:** +- `src/orcapod/semantic_types/semantic_struct_converters.py` +- `src/orcapod/semantic_types/semantic_registry.py` + +**Deleted tests:** +- `tests/test_semantic_types/` (all 9 files) +- `tests/test_hashing/test_file_hashing_consistency.py` + +**New tests:** +- `tests/test_hashing/test_extension_type_hashing.py` + +**Updated tests:** +- `tests/test_hashing/test_semantic_hasher.py` +- `tests/test_hashing/test_starfix_arrow_hasher.py` + +--- + +## Task 1: Rename `TypeHandlerProtocol` → `PythonTypeSemanticHasherProtocol` + +**Files:** +- Modify: `src/orcapod/protocols/hashing_protocols.py` + +- [ ] **Step 1: Rewrite the protocol class and update surrounding references** + +Replace the entire `TypeHandlerProtocol` class and update the `SemanticHasherProtocol`'s `type_handler_registry` property: + +```python +# In src/orcapod/protocols/hashing_protocols.py + +# Update TYPE_CHECKING import: +if TYPE_CHECKING: + import pyarrow as pa + from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeSemanticHasherRegistry + from orcapod.types import ContentHash # already imported at module level, just noting + +# Replace TypeHandlerProtocol with: +class PythonTypeSemanticHasherProtocol(Protocol): + """Protocol for type-specific semantic hashers used by SemanticAwarePythonHasher. + + A PythonTypeSemanticHasherProtocol hashes a specific Python type to a ``ContentHash``. + Implementations are registered with a ``PythonTypeSemanticHasherRegistry`` and looked + up via MRO-aware resolution. + + Each implementation receives the full ``SemanticAwarePythonHasher`` so it can delegate + hashing of sub-values (e.g. hashing a dict of function metadata) back to the outer + hasher without coupling to a specific hasher instance. + """ + + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + """Hash *obj* to a ContentHash. + + Args: + obj: The object to hash. Always matches the registered type. + hasher: The active ``SemanticAwarePythonHasher``. Use + ``hasher.hash_object(sub_value)`` to hash sub-values. + + Returns: + ContentHash: The content-addressed hash of *obj*. + """ + ... + + +# Update SemanticHasherProtocol — rename the property: +class SemanticHasherProtocol(Protocol): + # ... existing methods unchanged ... + + @property + def type_semantic_hasher_registry(self) -> "PythonTypeSemanticHasherRegistry": + """Return the PythonTypeSemanticHasherRegistry used by this hasher.""" + ... +``` + +The full updated `hashing_protocols.py` (only `TypeHandlerProtocol` is renamed and `SemanticHasherProtocol.type_handler_registry` → `type_semantic_hasher_registry`; everything else is unchanged): + +```python +"""Hash strategy protocols for dependency injection.""" + +from __future__ import annotations + +from collections.abc import Callable +from typing import TYPE_CHECKING, Any, Protocol, runtime_checkable + +from orcapod.types import ContentHash, PathLike, Schema + +if TYPE_CHECKING: + import pyarrow as pa + from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeSemanticHasherRegistry + + +@runtime_checkable +class DataContextAwareProtocol(Protocol): + """Protocol for objects aware of their data context.""" + + @property + def data_context_key(self) -> str: + """Return the data context key associated with this object.""" + ... + + +@runtime_checkable +class PipelineElementProtocol(Protocol): + """Protocol for objects that have a stable identity as an element in a pipeline graph.""" + + def pipeline_identity_structure(self) -> Any: + """Return a structure representing this element's pipeline identity.""" + ... + + def pipeline_hash(self, hasher=None) -> ContentHash: + """Return the pipeline-level hash of this element.""" + ... + + +@runtime_checkable +class ContentIdentifiableProtocol(Protocol): + """Protocol for objects that can express their semantic identity as a plain Python structure.""" + + def identity_structure(self) -> Any: + """Return a structure that represents the semantic identity of this object.""" + ... + + def content_hash(self, hasher: "SemanticHasherProtocol | None" = None) -> ContentHash: + """Returns the content hash.""" + ... + + +class PythonTypeSemanticHasherProtocol(Protocol): + """Protocol for type-specific semantic hashers used by SemanticAwarePythonHasher. + + A ``PythonTypeSemanticHasherProtocol`` hashes a specific Python type to a + ``ContentHash``. Implementations are registered with a + ``PythonTypeSemanticHasherRegistry`` and looked up via MRO-aware resolution. + + Each implementation receives the full ``SemanticAwarePythonHasher`` so it can + delegate hashing of sub-values back to the outer hasher without coupling to a + specific hasher instance. + """ + + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + """Hash *obj* to a ContentHash. + + Args: + obj: The object to hash. Always matches the registered type. + hasher: The active ``SemanticAwarePythonHasher``. Use + ``hasher.hash_object(sub_value)`` to hash sub-values. + + Returns: + ContentHash: The content-addressed hash of *obj*. + """ + ... + + +class SemanticHasherProtocol(Protocol): + """Protocol for the semantic content-based hasher.""" + + def hash_object( + self, + obj: Any, + resolver: Callable[[Any], ContentHash] | None = None, + ) -> ContentHash: + """Hash *obj* based on its semantic content.""" + ... + + @property + def hasher_id(self) -> str: + """Returns a unique identifier/name for this hasher instance.""" + ... + + @property + def type_semantic_hasher_registry(self) -> "PythonTypeSemanticHasherRegistry": + """Return the PythonTypeSemanticHasherRegistry used by this hasher.""" + ... + + +class FileContentHasherProtocol(Protocol): + """Protocol for file-related hashing.""" + + def hash_file(self, file_path: PathLike) -> ContentHash: ... + + +@runtime_checkable +class ArrowHasherProtocol(Protocol): + """Protocol for hashing arrow data.""" + + @property + def hasher_id(self) -> str: ... + + def hash_table(self, table: "pa.Table | pa.RecordBatch") -> ContentHash: ... + + +class StringCacherProtocol(Protocol): + """Protocol for caching string key value pairs.""" + + def get_cached(self, cache_key: str) -> str | None: ... + def set_cached(self, cache_key: str, value: str) -> None: ... + def clear_cache(self) -> None: ... + + +class FunctionInfoExtractorProtocol(Protocol): + """Protocol for extracting function information.""" + + def extract_function_info( + self, + func: Callable[..., Any], + function_name: str | None = None, + input_typespec: Schema | None = None, + output_typespec: Schema | None = None, + exclude_function_signature: bool = False, + exclude_function_body: bool = False, + ) -> dict[str, Any]: ... + + +class SemanticTypeHasherProtocol(Protocol): + """Abstract base class for semantic type-specific hashers.""" + + @property + def hasher_id(self) -> str: + """Unique identifier for this semantic type hasher.""" + ... + + def hash_column(self, column: "pa.Array") -> "pa.Array": + """Hash a column with this semantic type and return the hash bytes as an array.""" + ... + + def set_cacher(self, cacher: StringCacherProtocol) -> None: + """Add a string cacher for caching hash values.""" + ... +``` + +- [ ] **Step 2: Commit** + +```bash +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + add src/orcapod/protocols/hashing_protocols.py +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + commit -m "refactor(hashing_protocols): rename TypeHandlerProtocol → PythonTypeSemanticHasherProtocol, tighten hash() → ContentHash" +``` + +--- + +## Task 2: Rename `TypeHandlerRegistry` → `PythonTypeSemanticHasherRegistry` + +**Files:** +- Modify: `src/orcapod/hashing/semantic_hashing/type_handler_registry.py` + +- [ ] **Step 1: Rename the class, subclass, and all methods** + +Write the complete new file: + +```python +""" +PythonTypeSemanticHasherRegistry — MRO-aware registry for PythonTypeSemanticHasherProtocol instances. +""" + +from __future__ import annotations + +import logging +import threading +from typing import TYPE_CHECKING, Any + +if TYPE_CHECKING: + from orcapod.protocols.hashing_protocols import ( + ArrowHasherProtocol, + PythonTypeSemanticHasherProtocol, + ) + +logger = logging.getLogger(__name__) + + +class PythonTypeSemanticHasherRegistry: + """Registry mapping Python types to PythonTypeSemanticHasherProtocol instances. + + Lookup is MRO-aware: when no hasher is registered for the exact type of + an object, the registry walks the object's MRO (most-derived first) until + it finds a match. + + Thread safety + ------------- + Registration and lookup are protected by a reentrant lock so that the + global singleton can be safely used from multiple threads. + """ + + def __init__( + self, handlers: list[tuple[type, "PythonTypeSemanticHasherProtocol"]] | None = None + ) -> None: + """ + Args: + handlers: Optional list of ``(target_type, hasher)`` pairs to + register at construction time. + """ + self._handlers: dict[type, "PythonTypeSemanticHasherProtocol"] = {} + self._lock = threading.RLock() + if handlers: + for target_type, handler in handlers: + self.register(target_type, handler) + + def register(self, target_type: type, handler: "PythonTypeSemanticHasherProtocol") -> None: + """Register a hasher for a specific Python type. + + If a hasher is already registered for *target_type*, it is silently + replaced by the new hasher. + + Args: + target_type: The Python type (or class) for which the hasher should be used. + handler: A ``PythonTypeSemanticHasherProtocol`` instance. + + Raises: + TypeError: If ``target_type`` is not a ``type``. + """ + if not isinstance(target_type, type): + raise TypeError( + f"target_type must be a type/class, got {type(target_type)!r}" + ) + with self._lock: + existing = self._handlers.get(target_type) + if existing is not None and existing is not handler: + logger.debug( + "PythonTypeSemanticHasherRegistry: replacing existing hasher for %s (%s -> %s)", + target_type.__name__, + type(existing).__name__, + type(handler).__name__, + ) + self._handlers[target_type] = handler + + def unregister(self, target_type: type) -> bool: + """Remove the hasher registered for *target_type*, if any. + + Args: + target_type: The type whose hasher should be removed. + + Returns: + True if a hasher was removed, False if none was registered. + """ + with self._lock: + if target_type in self._handlers: + del self._handlers[target_type] + return True + return False + + def get_semantic_hasher(self, obj: Any) -> "PythonTypeSemanticHasherProtocol | None": + """Look up the hasher for *obj* using MRO-aware resolution. + + Args: + obj: The object for which a hasher is needed. + + Returns: + The registered ``PythonTypeSemanticHasherProtocol``, or None. + """ + obj_type = type(obj) + with self._lock: + handler = self._handlers.get(obj_type) + if handler is not None: + return handler + for base in obj_type.__mro__[1:]: + handler = self._handlers.get(base) + if handler is not None: + logger.debug( + "PythonTypeSemanticHasherRegistry: resolved hasher for %s via base %s", + obj_type.__name__, + base.__name__, + ) + return handler + return None + + def get_semantic_hasher_for_type( + self, target_type: type + ) -> "PythonTypeSemanticHasherProtocol | None": + """Look up the hasher for a *type object* (rather than an instance). + + Args: + target_type: The type to look up. + + Returns: + The registered ``PythonTypeSemanticHasherProtocol``, or None. + """ + with self._lock: + handler = self._handlers.get(target_type) + if handler is not None: + return handler + for base in target_type.__mro__[1:]: + handler = self._handlers.get(base) + if handler is not None: + return handler + return None + + def has_semantic_hasher(self, target_type: type) -> bool: + """Return True if a hasher is registered for *target_type* or any MRO ancestor. + + Args: + target_type: The type to check. + """ + return self.get_semantic_hasher_for_type(target_type) is not None + + def registered_types(self) -> list[type]: + """Return a list of all directly-registered types (no MRO expansion).""" + with self._lock: + return list(self._handlers.keys()) + + def __repr__(self) -> str: + with self._lock: + names = [t.__name__ for t in self._handlers] + return f"PythonTypeSemanticHasherRegistry(registered={names!r})" + + def __len__(self) -> int: + with self._lock: + return len(self._handlers) + + +def get_default_python_type_semantic_hasher_registry() -> "PythonTypeSemanticHasherRegistry": + """Return the PythonTypeSemanticHasherRegistry from the default data context. + + This is a convenience wrapper; the registry is owned and versioned by the + active ``DataContext``. Importing this function from + ``orcapod.hashing.defaults`` or ``orcapod.hashing`` is equivalent. + """ + from orcapod.hashing.defaults import ( + get_default_python_type_semantic_hasher_registry as _get, + ) + return _get() + + +class BuiltinPythonTypeSemanticHasherRegistry(PythonTypeSemanticHasherRegistry): + """A PythonTypeSemanticHasherRegistry pre-populated with all built-in hashers. + + Constructed via the data context JSON spec so that the default registry + is versioned alongside the rest of the context components. + """ + + def __init__(self, arrow_hasher: "ArrowHasherProtocol | None" = None) -> None: + super().__init__() + from orcapod.hashing.semantic_hashing.builtin_handlers import ( + register_builtin_python_type_semantic_hashers, + ) + register_builtin_python_type_semantic_hashers(self, arrow_hasher=arrow_hasher) +``` + +- [ ] **Step 2: Commit** + +```bash +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + add src/orcapod/hashing/semantic_hashing/type_handler_registry.py +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + commit -m "refactor(type_handler_registry): rename to PythonTypeSemanticHasherRegistry, rename methods" +``` + +--- + +## Task 3: Rename + tighten all builtin handlers + +**Files:** +- Modify: `src/orcapod/hashing/semantic_hashing/builtin_handlers.py` + +- [ ] **Step 1: Write the complete updated file** + +Key changes: +- 11 class renames (all `*Handler`/`*ContentHandler` → `*SemanticHasher`) +- `handle(obj, hasher) -> Any` → `hash(obj, hasher) -> ContentHash` on every class +- `UUIDSemanticHasher`, `BytesSemanticHasher`, `FunctionSemanticHasher`, `TypeObjectSemanticHasher`, `SpecialFormSemanticHasher`, `GenericAliasSemanticHasher`, `UnionTypeSemanticHasher` now call `hasher.hash_object(...)` to return `ContentHash` directly +- `register_builtin_handlers` → `register_builtin_python_type_semantic_hashers` +- Remove `SemanticArrowHasher` fallback construction (it will be deleted); when `arrow_hasher is None`, skip registering `pa.Table`/`pa.RecordBatch` handlers + +```python +""" +Built-in PythonTypeSemanticHasherProtocol implementations. + + PathSemanticHasher -- pathlib.Path: file content hash + UPathSemanticHasher -- upath.UPath: file content hash (remote-aware) + UUIDSemanticHasher -- uuid.UUID: 16-byte binary representation + BytesSemanticHasher -- bytes/bytearray: hex string representation + FunctionSemanticHasher -- callable with __code__: via FunctionInfoExtractorProtocol + TypeObjectSemanticHasher -- type objects: stable "type:." string + SpecialFormSemanticHasher -- typing._SpecialForm + GenericAliasSemanticHasher -- generic alias type annotations + UnionTypeSemanticHasher -- types.UnionType (Python 3.10+ X | Y syntax) + ArrowTableSemanticHasher -- pa.Table / pa.RecordBatch + SchemaSemanticHasher -- Schema objects + +``register_builtin_python_type_semantic_hashers(registry)`` populates a registry +with all of the above. +""" + +from __future__ import annotations + +import logging +from pathlib import Path +from typing import TYPE_CHECKING, Any +from uuid import UUID + +from upath import UPath + +from orcapod.types import ContentHash, PathLike, Schema + +if TYPE_CHECKING: + from orcapod.hashing.semantic_hashing.type_handler_registry import ( + PythonTypeSemanticHasherRegistry, + ) + from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher + from orcapod.protocols.hashing_protocols import ( + ArrowHasherProtocol, + FileContentHasherProtocol, + ) + +logger = logging.getLogger(__name__) + + +class PathSemanticHasher: + """Hasher for pathlib.Path objects — hashes file *content*. + + Args: + file_hasher: Any object with a ``hash_file(path) -> ContentHash`` method. + """ + + def __init__(self, file_hasher: "FileContentHasherProtocol") -> None: + self.file_hasher = file_hasher + + def hash(self, obj: PathLike, hasher: "SemanticAwarePythonHasher") -> ContentHash: + path: Path = Path(obj) + if not path.exists(): + raise FileNotFoundError( + f"PathSemanticHasher: path does not exist: {path!r}. " + "Paths must refer to existing files for content-based hashing." + ) + if path.is_dir(): + raise IsADirectoryError( + f"PathSemanticHasher: path is a directory: {path!r}. " + "Only regular files are supported for content-based hashing." + ) + logger.debug("PathSemanticHasher: hashing file content at %s", path) + return self.file_hasher.hash_file(path) + + +class UPathSemanticHasher: + """Hasher for universal_pathlib.UPath objects — hashes file content. + + Args: + file_hasher: Any object with a ``hash_file(path) -> ContentHash`` method. + """ + + def __init__(self, file_hasher: "FileContentHasherProtocol") -> None: + self.file_hasher = file_hasher + + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + if not isinstance(obj, UPath): + raise TypeError( + f"UPathSemanticHasher: expected a UPath, got {type(obj)!r}." + ) + if not obj.exists(): + raise FileNotFoundError( + f"UPathSemanticHasher: path does not exist: {obj!r}." + ) + if obj.is_dir(): + raise IsADirectoryError( + f"UPathSemanticHasher: path is a directory: {obj!r}." + ) + logger.debug("UPathSemanticHasher: hashing file content at %s", obj) + return self.file_hasher.hash_file(obj) + + +class UUIDSemanticHasher: + """Hasher for ``uuid.UUID`` objects — hashes the raw 16-byte binary representation.""" + + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + return hasher.hash_object(obj.bytes) + + +class BytesSemanticHasher: + """Hasher for bytes and bytearray objects — hashes the lowercase hex representation.""" + + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + if isinstance(obj, (bytes, bytearray)): + return hasher.hash_object(obj.hex()) + raise TypeError( + f"BytesSemanticHasher: expected bytes or bytearray, got {type(obj)!r}" + ) + + +class FunctionSemanticHasher: + """Hasher for Python functions/callables with a ``__code__`` attribute. + + Args: + function_info_extractor: Any object with an + ``extract_function_info(func) -> dict`` method. + """ + + def __init__(self, function_info_extractor: Any) -> None: + self.function_info_extractor = function_info_extractor + + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + if not (callable(obj) and hasattr(obj, "__code__")): + raise TypeError( + f"FunctionSemanticHasher: expected a callable with __code__, got {type(obj)!r}" + ) + func_name = getattr(obj, "__name__", repr(obj)) + logger.debug("FunctionSemanticHasher: extracting info for function %r", func_name) + info: dict[str, Any] = self.function_info_extractor.extract_function_info(obj) + return hasher.hash_object(info) + + +class TypeObjectSemanticHasher: + """Hasher for type objects (classes passed as values). + + Returns a stable string of the form ``"type:."``. + """ + + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + if not isinstance(obj, type): + raise TypeError( + f"TypeObjectSemanticHasher: expected a type/class, got {type(obj)!r}" + ) + module: str = obj.__module__ or "" + qualname: str = obj.__qualname__ + return hasher.hash_object(f"type:{module}.{qualname}") + + +class SpecialFormSemanticHasher: + """Hasher for ``typing._SpecialForm`` objects such as ``typing.Union``.""" + + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + name = getattr(obj, "_name", None) or repr(obj) + return hasher.hash_object(f"special_form:typing.{name}") + + +class GenericAliasSemanticHasher: + """Hasher for generic alias type annotations (``dict[int, str]``, ``Optional[X]``, etc.).""" + + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + import typing + + origin = getattr(obj, "__origin__", None) + args = getattr(obj, "__args__", None) or () + if origin is None: + return hasher.hash_object(f"generic_alias:{obj!r}") + if origin is typing.Union: + hashed_args = sorted(hasher.hash_object(arg).to_string() for arg in args) + return hasher.hash_object({"__type__": "union", "args": hashed_args}) + return hasher.hash_object({ + "__type__": "generic_alias", + "origin": hasher.hash_object(origin).to_string(), + "args": [hasher.hash_object(arg).to_string() for arg in args], + }) + + +class UnionTypeSemanticHasher: + """Hasher for ``types.UnionType`` objects (Python 3.10+ ``X | Y`` syntax).""" + + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + args = getattr(obj, "__args__", None) or () + hashed_args = sorted(hasher.hash_object(arg).to_string() for arg in args) + return hasher.hash_object({"__type__": "union", "args": hashed_args}) + + +class ArrowTableSemanticHasher: + """Hasher for ``pa.Table`` and ``pa.RecordBatch`` objects. + + Args: + arrow_hasher: Any object satisfying ``ArrowHasherProtocol``. + """ + + def __init__(self, arrow_hasher: "ArrowHasherProtocol") -> None: + self.arrow_hasher = arrow_hasher + + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + import pyarrow as _pa + + if isinstance(obj, _pa.RecordBatch): + obj = _pa.Table.from_batches([obj]) + if not isinstance(obj, _pa.Table): + raise TypeError( + f"ArrowTableSemanticHasher: expected pa.Table or pa.RecordBatch, got {type(obj)!r}" + ) + return self.arrow_hasher.hash_table(obj) + + +class SchemaSemanticHasher: + """Hasher for ``Schema`` objects.""" + + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + if not isinstance(obj, Schema): + raise TypeError( + f"SchemaSemanticHasher: expected a Schema, got {type(obj)!r}" + ) + raise NotImplementedError("SchemaSemanticHasher is not yet implemented.") + + +def register_builtin_python_type_semantic_hashers( + registry: "PythonTypeSemanticHasherRegistry", + file_hasher: Any = None, + function_info_extractor: Any = None, + arrow_hasher: "ArrowHasherProtocol | None" = None, +) -> None: + """Register all built-in semantic hashers into *registry*. + + When ``arrow_hasher`` is None, ``pa.Table`` and ``pa.RecordBatch`` handlers + are **not** registered (to avoid circular dependency in the JSON context + construction — the default context's ``python_type_semantic_hasher_registry`` + is built before ``arrow_hasher``). + + Args: + registry: The ``PythonTypeSemanticHasherRegistry`` to populate. + file_hasher: Optional ``FileContentHasherProtocol`` for path hashing. + Defaults to ``BasicFileHasher(sha256)``. + function_info_extractor: Optional ``FunctionInfoExtractorProtocol``. + Defaults to ``FunctionSignatureExtractor``. + arrow_hasher: Optional ``ArrowHasherProtocol`` for nested table hashing. + When None, Arrow table handlers are skipped. + """ + if file_hasher is None: + from orcapod.hashing.file_hashers import BasicFileHasher + file_hasher = BasicFileHasher(algorithm="sha256") + + if function_info_extractor is None: + from orcapod.hashing.semantic_hashing.function_info_extractors import ( + FunctionSignatureExtractor, + ) + function_info_extractor = FunctionSignatureExtractor( + include_module=True, + include_defaults=True, + ) + + bytes_hasher = BytesSemanticHasher() + registry.register(bytes, bytes_hasher) + registry.register(bytearray, bytes_hasher) + + registry.register(Path, PathSemanticHasher(file_hasher)) + registry.register(UPath, UPathSemanticHasher(file_hasher)) + registry.register(UUID, UUIDSemanticHasher()) + + import types as _types + + function_hasher = FunctionSemanticHasher(function_info_extractor) + registry.register(_types.FunctionType, function_hasher) + registry.register(_types.BuiltinFunctionType, function_hasher) + registry.register(_types.MethodType, function_hasher) + + registry.register(type, TypeObjectSemanticHasher()) + registry.register(_types.UnionType, UnionTypeSemanticHasher()) + + generic_alias_hasher = GenericAliasSemanticHasher() + registry.register(_types.GenericAlias, generic_alias_hasher) + try: + import typing as _typing + registry.register(_typing._GenericAlias, generic_alias_hasher) # type: ignore[attr-defined] + registry.register(_typing._SpecialForm, SpecialFormSemanticHasher()) # type: ignore[attr-defined] + except AttributeError: + pass + + registry.register(Schema, SchemaSemanticHasher()) + + if arrow_hasher is not None: + import pyarrow as _pa + arrow_table_hasher = ArrowTableSemanticHasher(arrow_hasher) + registry.register(_pa.Table, arrow_table_hasher) + registry.register(_pa.RecordBatch, arrow_table_hasher) + + logger.debug( + "register_builtin_python_type_semantic_hashers: registered %d hashers", + len(registry), + ) +``` + +- [ ] **Step 2: Commit** + +```bash +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + add src/orcapod/hashing/semantic_hashing/builtin_handlers.py +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + commit -m "refactor(builtin_handlers): rename handler classes, tighten hash() → ContentHash" +``` + +--- + +## Task 4: Rename `BaseSemanticHasher` → `SemanticAwarePythonHasher`, simplify dispatch + +**Files:** +- Modify: `src/orcapod/hashing/semantic_hashing/semantic_hasher.py` + +- [ ] **Step 1: Apply renames and simplify hash_object dispatch** + +Changes: +1. Class name `BaseSemanticHasher` → `SemanticAwarePythonHasher` +2. `__init__` parameter `type_handler_registry` → `type_semantic_hasher_registry` +3. `self._registry = get_default_type_handler_registry()` → `get_default_python_type_semantic_hasher_registry()` +4. `type_handler_registry` property → `type_semantic_hasher_registry` +5. Return type annotation `TypeHandlerRegistry` → `PythonTypeSemanticHasherRegistry` +6. `hash_object` dispatch: `get_handler` → `get_semantic_hasher`; remove double-wrap (handler now returns `ContentHash` directly) + +The dispatch block in `hash_object` changes from: +```python +handler = self._registry.get_handler(obj) +if handler is not None: + return self.hash_object(handler.handle(obj, self), resolver=resolver) +``` +to: +```python +semantic_hasher = self._registry.get_semantic_hasher(obj) +if semantic_hasher is not None: + return semantic_hasher.hash(obj, self) +``` + +Full updated file (only showing the changed parts — keep everything else identical): + +```python +# At top of file, update import: +from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeSemanticHasherRegistry + +# Class rename: +class SemanticAwarePythonHasher: + """ + Content-based recursive hasher. + [same docstring, just update BaseSemanticHasher references to SemanticAwarePythonHasher] + """ + + def __init__( + self, + hasher_id: str, + type_semantic_hasher_registry: PythonTypeSemanticHasherRegistry | None = None, + strict: bool = True, + ) -> None: + self._hasher_id = hasher_id + self._strict = strict + + if type_semantic_hasher_registry is None: + from orcapod.hashing.defaults import get_default_python_type_semantic_hasher_registry + self._registry = get_default_python_type_semantic_hasher_registry() + else: + self._registry = type_semantic_hasher_registry + + @property + def hasher_id(self) -> str: + return self._hasher_id + + @property + def strict(self) -> bool: + return self._strict + + @property + def type_semantic_hasher_registry(self) -> PythonTypeSemanticHasherRegistry: + """Return the ``PythonTypeSemanticHasherRegistry`` used by this hasher.""" + return self._registry + + def hash_object(self, obj, resolver=None): + # ... keep all existing logic, EXCEPT replace the handler dispatch block: + + # Old: + # handler = self._registry.get_handler(obj) + # if handler is not None: + # return self.hash_object(handler.handle(obj, self), resolver=resolver) + + # New: + # semantic_hasher = self._registry.get_semantic_hasher(obj) + # if semantic_hasher is not None: + # return semantic_hasher.hash(obj, self) + ... +``` + +The complete updated `hash_object` method (copy the full existing body, changing only the handler dispatch): + +```python +def hash_object( + self, + obj: Any, + resolver: Callable[[Any], ContentHash] | None = None, +) -> ContentHash: + """Hash *obj* based on its semantic content.""" + # Terminal: already a hash -- return as-is. + if isinstance(obj, ContentHash): + return obj + + # Primitives: hash their direct JSON representation. + if isinstance(obj, (type(None), bool, int, float, str)): + return self._hash_to_content_hash(obj) + + # Structures: expand into a tagged tree, then hash the tree. + if _is_structure(obj): + expanded = self._expand_structure( + obj, _visited=frozenset(), resolver=resolver + ) + return self._hash_to_content_hash(expanded) + + # Semantic hasher dispatch: the hasher produces a ContentHash directly. + semantic_hasher = self._registry.get_semantic_hasher(obj) + if semantic_hasher is not None: + logger.debug( + "hash_object: dispatching %s to semantic hasher %s", + type(obj).__name__, + type(semantic_hasher).__name__, + ) + return semantic_hasher.hash(obj, self) + + # ContentIdentifiableProtocol: use resolver if provided, else content_hash(). + if isinstance(obj, hp.ContentIdentifiableProtocol): + if resolver is not None: + logger.debug( + "hash_object: resolving ContentIdentifiableProtocol %s via resolver", + type(obj).__name__, + ) + return resolver(obj) + else: + logger.debug( + "hash_object: using ContentIdentifiableProtocol %s's content_hash", + type(obj).__name__, + ) + return obj.content_hash() + + # Fallback for unhandled types. + fallback = self._handle_unknown(obj) + return self._hash_to_content_hash(fallback) +``` + +- [ ] **Step 2: Commit** + +```bash +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + add src/orcapod/hashing/semantic_hashing/semantic_hasher.py +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + commit -m "refactor(semantic_hasher): rename BaseSemanticHasher → SemanticAwarePythonHasher, simplify dispatch" +``` + +--- + +## Task 5: Update `content_identifiable_mixin.py` and `contexts/core.py` + +**Files:** +- Modify: `src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py` +- Modify: `src/orcapod/contexts/core.py` + +- [ ] **Step 1: Update `content_identifiable_mixin.py`** + +Three changes: +1. Line 68: `from orcapod.hashing.semantic_hashing.semantic_hasher import BaseSemanticHasher` → `SemanticAwarePythonHasher` +2. Line 97: parameter `semantic_hasher: BaseSemanticHasher | None` → `SemanticAwarePythonHasher | None` +3. Line 218 (approximately): `def _get_hasher(self) -> BaseSemanticHasher:` → `SemanticAwarePythonHasher` +4. Update the class docstring reference from `BaseSemanticHasher` to `SemanticAwarePythonHasher` + +```python +# Old line 68: +from orcapod.hashing.semantic_hashing.semantic_hasher import BaseSemanticHasher + +# New: +from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher +``` + +```python +# Old __init__ signature: +def __init__( + self, *, semantic_hasher: BaseSemanticHasher | None = None, **kwargs: Any +) -> None: + +# New: +def __init__( + self, *, semantic_hasher: SemanticAwarePythonHasher | None = None, **kwargs: Any +) -> None: +``` + +Also update the `_get_hasher` return type annotation and any docstring mentions of `BaseSemanticHasher`. + +- [ ] **Step 2: Update `contexts/core.py` docstring** + +Update the `DataContext` docstring — replace `semantic_hasher.type_handler_registry` with `semantic_hasher.type_semantic_hasher_registry`: + +```python +@dataclass +class DataContext: + """Data context containing all versioned components needed for data interpretation. + + Attributes: + context_key: Unique identifier (e.g., "std:v0.1:default") + version: Version string (e.g., "v0.1") + description: Human-readable description + type_converter: Type converter for Python ↔ Arrow conversion and registration. + arrow_hasher: Arrow table hasher for this context. + semantic_hasher: General semantic hasher for this context. The + ``PythonTypeSemanticHasherRegistry`` used for hashing is accessible via + ``semantic_hasher.type_semantic_hasher_registry``. + """ +``` + +- [ ] **Step 3: Commit** + +```bash +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + add src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py \ + src/orcapod/contexts/core.py +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + commit -m "refactor: update BaseSemanticHasher → SemanticAwarePythonHasher refs in mixin and core" +``` + +--- + +## Task 6: Update `__init__.py` exports and `defaults.py` + +**Files:** +- Modify: `src/orcapod/hashing/semantic_hashing/__init__.py` +- Modify: `src/orcapod/hashing/__init__.py` +- Modify: `src/orcapod/hashing/defaults.py` + +- [ ] **Step 1: Update `semantic_hashing/__init__.py`** + +```python +""" +orcapod.hashing.semantic_hashing +================================= + SemanticAwarePythonHasher -- content-based recursive object hasher + PythonTypeSemanticHasherRegistry -- MRO-aware registry mapping types → PythonTypeSemanticHasherProtocol + BuiltinPythonTypeSemanticHasherRegistry -- pre-populated registry with built-in hashers + ContentIdentifiableMixin -- convenience mixin for content-identifiable objects + +Built-in PythonTypeSemanticHasherProtocol implementations: + PathSemanticHasher -- pathlib.Path → file-content hash + UUIDSemanticHasher -- uuid.UUID → canonical bytes + BytesSemanticHasher -- bytes/bytearray → hex string + FunctionSemanticHasher -- callable → via FunctionInfoExtractorProtocol + TypeObjectSemanticHasher -- type objects → "type:." + register_builtin_python_type_semantic_hashers -- populate a registry with all of the above + +Function info extractors (used by FunctionSemanticHasher): + FunctionNameExtractor + FunctionSignatureExtractor + FunctionInfoExtractorFactory +""" + +from orcapod.hashing.semantic_hashing.builtin_handlers import ( + BytesSemanticHasher, + FunctionSemanticHasher, + PathSemanticHasher, + TypeObjectSemanticHasher, + UUIDSemanticHasher, + register_builtin_python_type_semantic_hashers, +) +from orcapod.hashing.semantic_hashing.content_identifiable_mixin import ( + ContentIdentifiableMixin, +) +from orcapod.hashing.semantic_hashing.function_info_extractors import ( + FunctionInfoExtractorFactory, + FunctionNameExtractor, + FunctionSignatureExtractor, +) +from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher +from orcapod.hashing.semantic_hashing.type_handler_registry import ( + BuiltinPythonTypeSemanticHasherRegistry, + PythonTypeSemanticHasherRegistry, +) + +__all__ = [ + "SemanticAwarePythonHasher", + "PythonTypeSemanticHasherRegistry", + "BuiltinPythonTypeSemanticHasherRegistry", + "ContentIdentifiableMixin", + "PathSemanticHasher", + "UUIDSemanticHasher", + "BytesSemanticHasher", + "FunctionSemanticHasher", + "TypeObjectSemanticHasher", + "register_builtin_python_type_semantic_hashers", + "FunctionNameExtractor", + "FunctionSignatureExtractor", + "FunctionInfoExtractorFactory", +] +``` + +- [ ] **Step 2: Update `hashing/__init__.py`** + +```python +""" +OrcaPod hashing package. + +Public API +---------- + SemanticAwarePythonHasher -- content-based recursive object hasher + SemanticHasherProtocol -- protocol for semantic hashers + PythonTypeSemanticHasherRegistry -- registry mapping types to PythonTypeSemanticHasherProtocol instances + get_default_semantic_hasher -- global default SemanticHasherProtocol factory + get_default_python_type_semantic_hasher_registry -- global default registry factory + ContentIdentifiableMixin -- convenience mixin for content-identifiable objects + +Built-in hashers (importable for custom registry setup): + PathSemanticHasher + UUIDSemanticHasher + BytesSemanticHasher + FunctionSemanticHasher + TypeObjectSemanticHasher + register_builtin_python_type_semantic_hashers + +Utility: + FileContentHasherProtocol + StringCacherProtocol + FunctionInfoExtractorProtocol + ArrowHasherProtocol +""" + +from orcapod.hashing.defaults import ( + get_default_arrow_hasher, + get_default_python_type_semantic_hasher_registry, + get_default_semantic_hasher, +) +from orcapod.hashing.file_hashers import BasicFileHasher, CachedFileHasher +from orcapod.hashing.hash_utils import hash_file +from orcapod.hashing.semantic_hashing.builtin_handlers import ( + BytesSemanticHasher, + FunctionSemanticHasher, + PathSemanticHasher, + TypeObjectSemanticHasher, + UUIDSemanticHasher, + register_builtin_python_type_semantic_hashers, +) +from orcapod.hashing.semantic_hashing.content_identifiable_mixin import ( + ContentIdentifiableMixin, +) +from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher +from orcapod.hashing.semantic_hashing.type_handler_registry import ( + BuiltinPythonTypeSemanticHasherRegistry, + PythonTypeSemanticHasherRegistry, +) +from orcapod.protocols.hashing_protocols import ( + ArrowHasherProtocol, + ContentIdentifiableProtocol, + FileContentHasherProtocol, + FunctionInfoExtractorProtocol, + PythonTypeSemanticHasherProtocol, + SemanticHasherProtocol, + SemanticTypeHasherProtocol, + StringCacherProtocol, +) + +try: + from orcapod.hashing.legacy_core import ( + HashableMixin, + function_content_hash, + get_function_signature, + hash_function, + hash_data, + hash_pathset, + hash_to_hex, + hash_to_int, + hash_to_uuid, + ) +except ImportError: + HashableMixin = None # type: ignore[assignment,misc] + function_content_hash = None # type: ignore[assignment] + get_function_signature = None # type: ignore[assignment] + hash_function = None # type: ignore[assignment] + hash_data = None # type: ignore[assignment] + hash_pathset = None # type: ignore[assignment] + hash_to_hex = None # type: ignore[assignment] + hash_to_int = None # type: ignore[assignment] + hash_to_uuid = None # type: ignore[assignment] + +__all__ = [ + "SemanticAwarePythonHasher", + "PythonTypeSemanticHasherRegistry", + "BuiltinPythonTypeSemanticHasherRegistry", + "get_default_python_type_semantic_hasher_registry", + "get_default_semantic_hasher", + "ContentIdentifiableMixin", + "PathSemanticHasher", + "UUIDSemanticHasher", + "BytesSemanticHasher", + "FunctionSemanticHasher", + "TypeObjectSemanticHasher", + "register_builtin_python_type_semantic_hashers", + "SemanticHasherProtocol", + "ContentIdentifiableProtocol", + "PythonTypeSemanticHasherProtocol", + "FileContentHasherProtocol", + "ArrowHasherProtocol", + "StringCacherProtocol", + "FunctionInfoExtractorProtocol", + "SemanticTypeHasherProtocol", + "BasicFileHasher", + "CachedFileHasher", + "hash_file", + "get_default_arrow_hasher", + "HashableMixin", + "hash_to_hex", + "hash_to_int", + "hash_to_uuid", + "hash_function", + "get_function_signature", + "function_content_hash", + "hash_pathset", + "hash_data", +] +``` + +- [ ] **Step 3: Update `hashing/defaults.py`** + +```python +# Default hasher accessors for the OrcaPod hashing system. + +from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeSemanticHasherRegistry +from orcapod.protocols import hashing_protocols as hp + + +def get_default_python_type_semantic_hasher_registry() -> PythonTypeSemanticHasherRegistry: + """Return the PythonTypeSemanticHasherRegistry from the default data context's semantic hasher. + + Returns: + PythonTypeSemanticHasherRegistry: The registry from the default data context. + """ + from orcapod.contexts import get_default_context + return get_default_context().semantic_hasher.type_semantic_hasher_registry + + +def get_default_semantic_hasher() -> hp.SemanticHasherProtocol: + """Return the SemanticHasherProtocol from the default data context.""" + from orcapod.contexts import get_default_context + return get_default_context().semantic_hasher + + +def get_default_arrow_hasher() -> hp.ArrowHasherProtocol: + """Return the ArrowHasherProtocol from the default data context. + + Note: file-hash caching (formerly via ``set_cacher``) has been removed. + ``StarfixArrowHasher`` does not support per-path caching. Use + ``CachedFileHasher`` when constructing a custom context if caching is needed. + """ + from orcapod.contexts import get_default_context + return get_default_context().arrow_hasher +``` + +- [ ] **Step 4: Commit** + +```bash +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + add src/orcapod/hashing/semantic_hashing/__init__.py \ + src/orcapod/hashing/__init__.py \ + src/orcapod/hashing/defaults.py +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + commit -m "refactor(hashing): update __init__.py exports and defaults for rename" +``` + +--- + +## Task 7: Update `test_semantic_hasher.py` → run tests + +**Files:** +- Modify: `tests/test_hashing/test_semantic_hasher.py` + +- [ ] **Step 1: Update imports at the top of the file** + +```python +# Old: +from orcapod.hashing.semantic_hashing.builtin_handlers import register_builtin_handlers +from orcapod.hashing.semantic_hashing.semantic_hasher import ( + BaseSemanticHasher, + _is_namedtuple, +) +from orcapod.hashing.semantic_hashing.type_handler_registry import ( + TypeHandlerRegistry, + get_default_type_handler_registry, +) + +# New: +from orcapod.hashing.semantic_hashing.builtin_handlers import ( + register_builtin_python_type_semantic_hashers, +) +from orcapod.hashing.semantic_hashing.semantic_hasher import ( + SemanticAwarePythonHasher, + _is_namedtuple, +) +from orcapod.hashing.semantic_hashing.type_handler_registry import ( + PythonTypeSemanticHasherRegistry, + get_default_python_type_semantic_hasher_registry, +) +``` + +- [ ] **Step 2: Update `make_hasher()` fixture and type annotations** + +```python +def make_hasher(strict: bool = True) -> SemanticAwarePythonHasher: + """Create a fresh SemanticAwarePythonHasher with an isolated registry.""" + registry = PythonTypeSemanticHasherRegistry() + register_builtin_python_type_semantic_hashers(registry) + return SemanticAwarePythonHasher( + hasher_id="test_v1", type_semantic_hasher_registry=registry, strict=strict + ) + + +@pytest.fixture +def hasher() -> SemanticAwarePythonHasher: + return make_hasher(strict=True) + + +@pytest.fixture +def lenient_hasher() -> SemanticAwarePythonHasher: + return make_hasher(strict=False) +``` + +- [ ] **Step 3: Update `_DummyHandler` in `TestTypeHandlerRegistry` (near line 827)** + +```python +# Old: +class _DummyHandler: + def __init__(self, tag: str) -> None: + self.tag = tag + + def handle(self, obj: Any, hasher: Any) -> Any: + return f"{self.tag}:{obj}" + +# New: +class _DummySemanticHasher: + def __init__(self, tag: str) -> None: + self.tag = tag + + def hash(self, obj: Any, hasher: Any) -> Any: + # Returns a ContentHash by delegating to the outer hasher + return hasher.hash_object(f"{self.tag}:{obj}") +``` + +- [ ] **Step 4: Update `TestTypeHandlerRegistry` class — rename class, method calls, and dummy handler** + +Rename the test class to `TestPythonTypeSemanticHasherRegistry` and update every reference: +- `TypeHandlerRegistry()` → `PythonTypeSemanticHasherRegistry()` +- `_DummyHandler(...)` → `_DummySemanticHasher(...)` +- `reg.get_handler(...)` → `reg.get_semantic_hasher(...)` +- `reg.has_handler(...)` → `reg.has_semantic_hasher(...)` +- `reg.get_handler_for_type(...)` → `reg.get_semantic_hasher_for_type(...)` + +Example of updated test methods: +```python +class TestPythonTypeSemanticHasherRegistry: + def test_register_and_get_exact(self): + reg = PythonTypeSemanticHasherRegistry() + h = _DummySemanticHasher("base") + reg.register(Base, h) + assert reg.get_semantic_hasher(Base()) is h + + def test_mro_lookup_child(self): + reg = PythonTypeSemanticHasherRegistry() + h = _DummySemanticHasher("base") + reg.register(Base, h) + assert reg.get_semantic_hasher(Child()) is h + + def test_mro_lookup_grandchild(self): + reg = PythonTypeSemanticHasherRegistry() + h = _DummySemanticHasher("base") + reg.register(Base, h) + assert reg.get_semantic_hasher(GrandChild()) is h + + def test_more_specific_handler_wins(self): + reg = PythonTypeSemanticHasherRegistry() + h_base = _DummySemanticHasher("base") + h_child = _DummySemanticHasher("child") + reg.register(Base, h_base) + reg.register(Child, h_child) + assert reg.get_semantic_hasher(Child()) is h_child + assert reg.get_semantic_hasher(GrandChild()) is h_child + + def test_unregistered_returns_none(self): + reg = PythonTypeSemanticHasherRegistry() + assert reg.get_semantic_hasher(Base()) is None + + def test_unregister_removes_handler(self): + reg = PythonTypeSemanticHasherRegistry() + h = _DummySemanticHasher("base") + reg.register(Base, h) + assert reg.unregister(Base) is True + assert reg.get_semantic_hasher(Base()) is None + + def test_unregister_nonexistent_returns_false(self): + reg = PythonTypeSemanticHasherRegistry() + assert reg.unregister(Base) is False + + def test_replace_existing_handler(self): + reg = PythonTypeSemanticHasherRegistry() + h1 = _DummySemanticHasher("first") + h2 = _DummySemanticHasher("second") + reg.register(Base, h1) + reg.register(Base, h2) + assert reg.get_semantic_hasher(Base()) is h2 + + def test_register_non_type_raises(self): + reg = PythonTypeSemanticHasherRegistry() + with pytest.raises(TypeError): + reg.register("not_a_type", _DummySemanticHasher("x")) # type: ignore[arg-type] + + def test_has_semantic_hasher_exact(self): + reg = PythonTypeSemanticHasherRegistry() + reg.register(Base, _DummySemanticHasher("b")) + assert reg.has_semantic_hasher(Base) is True + + def test_has_semantic_hasher_via_mro(self): + reg = PythonTypeSemanticHasherRegistry() + reg.register(Base, _DummySemanticHasher("b")) + assert reg.has_semantic_hasher(Child) is True + + def test_has_semantic_hasher_false(self): + reg = PythonTypeSemanticHasherRegistry() + assert reg.has_semantic_hasher(Base) is False + + def test_registered_types_snapshot(self): + reg = PythonTypeSemanticHasherRegistry() + reg.register(Base, _DummySemanticHasher("b")) + reg.register(Child, _DummySemanticHasher("c")) + types = reg.registered_types() + assert Base in types + assert Child in types + + def test_len(self): + reg = PythonTypeSemanticHasherRegistry() + assert len(reg) == 0 + reg.register(Base, _DummySemanticHasher("b")) + assert len(reg) == 1 + reg.register(Child, _DummySemanticHasher("c")) + assert len(reg) == 2 + + def test_get_semantic_hasher_for_type(self): + reg = PythonTypeSemanticHasherRegistry() + h = _DummySemanticHasher("b") + reg.register(Base, h) + assert reg.get_semantic_hasher_for_type(Base) is h + assert reg.get_semantic_hasher_for_type(Child) is h # via MRO + assert reg.get_semantic_hasher_for_type(int) is None +``` + +Also update any remaining references in the file body to `get_default_type_handler_registry` → `get_default_python_type_semantic_hasher_registry`, and any fixture type annotations. + +- [ ] **Step 5: Run tests** + +```bash +uv run --project /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + pytest tests/test_hashing/test_semantic_hasher.py -x -v +``` + +Expected: all tests pass. + +- [ ] **Step 6: Commit** + +```bash +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + add tests/test_hashing/test_semantic_hasher.py +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + commit -m "test(semantic_hasher): update for registry rename and hash() protocol tightening" +``` + +--- + +## Task 8: Add `visit_extension` to `ArrowTypeDataVisitor` + rewrite `SemanticHashingVisitor` + +**Files:** +- Modify: `src/orcapod/hashing/visitors.py` + +- [ ] **Step 1: Write a failing test for `visit_extension` dispatch** + +Create `tests/test_hashing/test_extension_type_hashing.py`: + +```python +"""Tests for extension type column hashing via SemanticHashingVisitor.""" + +from __future__ import annotations + +import pyarrow as pa +import pytest +from pathlib import Path + +from orcapod.hashing.visitors import SemanticHashingVisitor +from orcapod.contexts import get_default_context + + +@pytest.fixture +def ctx(): + return get_default_context() + + +class TestArrowTypeDataVisitorExtension: + def test_visit_dispatches_to_visit_extension_for_extension_types(self, ctx): + """visit() routes ExtensionType columns to visit_extension(), not visit_struct().""" + arrow_type = ctx.type_converter.register_python_class(Path) + assert isinstance(arrow_type, pa.ExtensionType), ( + "Path must be registered as an Arrow extension type" + ) + + calls = [] + + class TrackingVisitor(SemanticHashingVisitor): + def visit_extension(self, ext_type, storage_value): + calls.append("visit_extension") + return super().visit_extension(ext_type, storage_value) + + def visit_struct(self, struct_type, data): + calls.append("visit_struct") + return super().visit_struct(struct_type, data) + + visitor = TrackingVisitor(ctx.type_converter, ctx.semantic_hasher) + # Any value is fine for this dispatch test — use a dummy string (storage for Path is str) + visitor.visit(arrow_type, "/tmp/dummy") + assert "visit_extension" in calls + assert "visit_struct" not in calls + + +class TestSemanticHashingVisitorExtension: + def test_path_column_hashed_to_large_binary(self, ctx, tmp_path): + """Path extension columns are replaced with pa.large_binary() hash tokens.""" + file = tmp_path / "test.txt" + file.write_text("hello") + + arrow_type = ctx.type_converter.register_python_class(Path) + storage_val = ctx.type_converter.python_to_storage(Path(file), Path) + + visitor = SemanticHashingVisitor(ctx.type_converter, ctx.semantic_hasher) + new_type, new_data = visitor.visit(arrow_type, storage_val) + + assert new_type == pa.large_binary() + assert isinstance(new_data, bytes) + + def test_same_content_same_hash(self, ctx, tmp_path): + """Two paths pointing to files with identical content produce the same hash bytes.""" + file1 = tmp_path / "a.txt" + file2 = tmp_path / "b.txt" + file1.write_text("identical content") + file2.write_text("identical content") + + arrow_type = ctx.type_converter.register_python_class(Path) + storage1 = ctx.type_converter.python_to_storage(Path(file1), Path) + storage2 = ctx.type_converter.python_to_storage(Path(file2), Path) + + visitor = SemanticHashingVisitor(ctx.type_converter, ctx.semantic_hasher) + _, hash1 = visitor.visit(arrow_type, storage1) + _, hash2 = visitor.visit(arrow_type, storage2) + + assert hash1 == hash2 + + def test_different_content_different_hash(self, ctx, tmp_path): + """Files with different content produce different hash bytes.""" + file1 = tmp_path / "x.txt" + file2 = tmp_path / "y.txt" + file1.write_text("content A") + file2.write_text("content B") + + arrow_type = ctx.type_converter.register_python_class(Path) + storage1 = ctx.type_converter.python_to_storage(Path(file1), Path) + storage2 = ctx.type_converter.python_to_storage(Path(file2), Path) + + visitor = SemanticHashingVisitor(ctx.type_converter, ctx.semantic_hasher) + _, hash1 = visitor.visit(arrow_type, storage1) + _, hash2 = visitor.visit(arrow_type, storage2) + + assert hash1 != hash2 + + def test_binary_encoding_format(self, ctx, tmp_path): + """Hash bytes have format b':::'.""" + file = tmp_path / "test.txt" + file.write_text("test") + + arrow_type = ctx.type_converter.register_python_class(Path) + storage_val = ctx.type_converter.python_to_storage(Path(file), Path) + + visitor = SemanticHashingVisitor(ctx.type_converter, ctx.semantic_hasher) + _, hash_bytes = visitor.visit(arrow_type, storage_val) + + assert b"::" in hash_bytes + type_prefix, hash_part = hash_bytes.split(b"::", 1) + # Extension name "orcapod.path" → dots replaced with colons + assert type_prefix == b"orcapod:path" + # hash_part should be "method:digest" — at least one colon + assert b":" in hash_part + + def test_null_value_passthrough(self, ctx): + """Null storage values pass through as-is.""" + arrow_type = ctx.type_converter.register_python_class(Path) + + visitor = SemanticHashingVisitor(ctx.type_converter, ctx.semantic_hasher) + new_type, new_data = visitor.visit(arrow_type, None) + + assert new_type == arrow_type + assert new_data is None +``` + +- [ ] **Step 2: Run tests — verify they fail** + +```bash +uv run --project /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + pytest tests/test_hashing/test_extension_type_hashing.py -x -v +``` + +Expected: ImportError or AttributeError (methods don't exist yet). + +- [ ] **Step 3: Rewrite `visitors.py`** + +```python +""" +Generic visitor pattern for traversing Arrow types and data simultaneously. +""" + +from __future__ import annotations + +from abc import ABC, abstractmethod +from typing import TYPE_CHECKING, Any + +from orcapod.utils.lazy_module import LazyModule + +if TYPE_CHECKING: + import pyarrow as pa + from orcapod.semantic_types.universal_converter import UniversalTypeConverter + from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher +else: + pa = LazyModule("pyarrow") + + +class ArrowTypeDataVisitor(ABC): + """Base visitor for traversing Arrow types and data simultaneously.""" + + @abstractmethod + def visit_struct( + self, struct_type: "pa.StructType", data: dict | None + ) -> tuple["pa.DataType", Any]: + """Visit a struct type with its data.""" + pass + + @abstractmethod + def visit_list( + self, list_type: "pa.ListType", data: list | None + ) -> tuple["pa.DataType", Any]: + """Visit a list type with its data.""" + pass + + @abstractmethod + def visit_map( + self, map_type: "pa.MapType", data: dict | None + ) -> tuple["pa.DataType", Any]: + """Visit a map type with its data.""" + pass + + @abstractmethod + def visit_primitive( + self, primitive_type: "pa.DataType", data: Any + ) -> tuple["pa.DataType", Any]: + """Visit a primitive type with its data.""" + pass + + def visit_extension( + self, + extension_type: "pa.ExtensionType", + storage_value: Any, + ) -> tuple["pa.DataType", Any]: + """Handle an Arrow extension type. + + Default implementation: passthrough — preserves the extension type and its + storage value unchanged so that the downstream ``StarfixArrowHasher`` / + ``ArrowDigester`` sees the full extension metadata when it receives the + pre-processed table. + + Subclasses may override to convert recognised extension types to a hashed + ``pa.large_binary()`` value. + + Args: + extension_type: The Arrow extension type. + storage_value: The storage-level value (result of ``to_pylist()`` on the column). + + Returns: + Tuple of ``(new_arrow_type, new_data)``. + """ + return extension_type, storage_value + + def visit(self, arrow_type: "pa.DataType", data: Any) -> tuple["pa.DataType", Any]: + """Main dispatch method that routes to the appropriate visit method. + + Extension types are checked **first** — before the struct check — because + extension types with struct storage would otherwise be incorrectly routed + into ``visit_struct``. After ``visit_extension``, the result is re-visited + only if the type changed AND is no longer an extension type (enables + composability, avoids infinite recursion). + + Args: + arrow_type: Arrow data type to process. + data: Corresponding data value. + + Returns: + Tuple of ``(new_arrow_type, new_data)``. + """ + if isinstance(arrow_type, pa.ExtensionType): + new_type, new_data = self.visit_extension(arrow_type, data) + if new_type is not arrow_type and not isinstance(new_type, pa.ExtensionType): + return self.visit(new_type, new_data) + return new_type, new_data + + if pa.types.is_struct(arrow_type): + return self.visit_struct(arrow_type, data) + elif pa.types.is_list(arrow_type) or pa.types.is_large_list(arrow_type): + return self.visit_list(arrow_type, data) + elif pa.types.is_fixed_size_list(arrow_type): + return self.visit_list(arrow_type, data) + elif pa.types.is_map(arrow_type): + return self.visit_map(arrow_type, data) + else: + return self.visit_primitive(arrow_type, data) + + def _visit_struct_fields( + self, struct_type: "pa.StructType", data: dict | None + ) -> tuple["pa.StructType", dict]: + """Recursively process struct fields. Default behavior for regular structs.""" + if data is None: + return struct_type, None + + new_fields = [] + new_data = {} + + for field in struct_type: + field_data = data.get(field.name) + new_field_type, new_field_data = self.visit(field.type, field_data) + new_fields.append(pa.field(field.name, new_field_type)) + new_data[field.name] = new_field_data + + return pa.struct(new_fields), new_data + + def _visit_list_elements( + self, list_type: "pa.ListType", data: list | None + ) -> tuple["pa.DataType", list]: + """Recursively process list elements.""" + if data is None: + return list_type, None + + element_type = list_type.value_type + processed_elements = [] + new_element_type = None + + for item in data: + current_element_type, processed_item = self.visit(element_type, item) + processed_elements.append(processed_item) + if new_element_type is None: + new_element_type = current_element_type + + if new_element_type is None: + new_element_type = element_type + + if pa.types.is_large_list(list_type): + return pa.large_list(new_element_type), processed_elements + elif pa.types.is_fixed_size_list(list_type): + return pa.list_(new_element_type, list_type.list_size), processed_elements + else: + return pa.list_(new_element_type), processed_elements + + +class SemanticHashingError(Exception): + """Exception raised when semantic hashing fails.""" + pass + + +class SemanticHashingVisitor(ArrowTypeDataVisitor): + """Visitor that replaces extension-typed columns with their content hashes. + + For each Arrow column whose type is a ``pa.ExtensionType``: + + 1. Look up the corresponding Python type via ``type_converter``. + 2. If the Python type has a semantic hasher registered in ``python_hasher``, + convert the storage value to a Python object and hash it, replacing the + column with a ``pa.large_binary()`` value of the form:: + + + b"::" + content_hash.to_prefixed_digest() + + where ``type_name`` is the extension name with dots replaced by colons + (e.g. ``"orcapod.path"`` → ``"orcapod:path"``), and + ``to_prefixed_digest()`` = ``method_bytes + b":" + digest``. + 3. If no hasher is registered (or the converter doesn't know the type), + return the extension type and storage value unchanged. The downstream + ``StarfixArrowHasher`` / ``ArrowDigester`` will see the full extension + metadata intact and hash it in a type-aware way. + + Args: + type_converter: The active ``UniversalTypeConverter`` for resolving + extension type → Python type and storage → Python conversion. + python_hasher: The active ``SemanticAwarePythonHasher`` for hashing + Python objects. + """ + + def __init__( + self, + type_converter: "UniversalTypeConverter", + python_hasher: "SemanticAwarePythonHasher", + ) -> None: + self._type_converter = type_converter + self._python_hasher = python_hasher + self._current_field_path: list[str] = [] + + def visit_extension( + self, + extension_type: "pa.ExtensionType", + storage_value: Any, + ) -> tuple["pa.DataType", Any]: + """Hash an extension type value to pa.large_binary(), or passthrough.""" + if storage_value is None: + return extension_type, None + + from typing import Any as _Any + + # Resolve extension type → Python type. + python_type = self._type_converter.arrow_type_to_python_type(extension_type) + + # If the converter couldn't resolve to a concrete class, passthrough. + if python_type is _Any or not isinstance(python_type, type): + return extension_type, storage_value + + # Only hash if a semantic hasher is registered for this Python type. + if not self._python_hasher.type_semantic_hasher_registry.has_semantic_hasher( + python_type + ): + return extension_type, storage_value + + # Convert storage value → Python object and hash it. + python_obj = self._type_converter.storage_to_python(storage_value, python_type) + content_hash = self._python_hasher.hash_object(python_obj) + + # Encode as binary: ":::" + # Dots in the extension name → colons (e.g. "orcapod.path" → "orcapod:path"). + # The "::" separator is unambiguous because to_prefixed_digest() uses only ":". + type_name = extension_type.extension_name.replace(".", ":") + hash_bytes = ( + type_name.encode("ascii") + + b"::" + + content_hash.to_prefixed_digest() + ) + return pa.large_binary(), hash_bytes + + def visit_struct( + self, struct_type: "pa.StructType", data: dict | None + ) -> tuple["pa.DataType", Any]: + """Regular struct (no extension identity) — recurse into fields.""" + if data is None: + return struct_type, None + return self._visit_struct_fields(struct_type, data) + + def visit_list( + self, list_type: "pa.ListType", data: list | None + ) -> tuple["pa.DataType", Any]: + """Recurse into list elements.""" + if data is None: + return list_type, None + self._current_field_path.append("[*]") + try: + return self._visit_list_elements(list_type, data) + finally: + self._current_field_path.pop() + + def visit_map( + self, map_type: "pa.MapType", data: dict | None + ) -> tuple["pa.DataType", Any]: + """Pass map types through unchanged.""" + return map_type, data + + def visit_primitive( + self, primitive_type: "pa.DataType", data: Any + ) -> tuple["pa.DataType", Any]: + """Pass primitive types through unchanged.""" + return primitive_type, data + + def _visit_struct_fields( + self, struct_type: "pa.StructType", data: dict | None + ) -> tuple["pa.StructType", dict]: + """Override to add field path tracking for better error messages.""" + if data is None: + return struct_type, None + + new_fields = [] + new_data = {} + + for field in struct_type: + self._current_field_path.append(field.name) + try: + field_data = data.get(field.name) + new_field_type, new_field_data = self.visit(field.type, field_data) + new_fields.append(pa.field(field.name, new_field_type)) + new_data[field.name] = new_field_data + finally: + self._current_field_path.pop() + + return pa.struct(new_fields), new_data +``` + +- [ ] **Step 4: Run tests — verify they pass** + +```bash +uv run --project /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + pytest tests/test_hashing/test_extension_type_hashing.py -x -v +``` + +Expected: all tests pass. + +- [ ] **Step 5: Commit** + +```bash +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + add src/orcapod/hashing/visitors.py \ + tests/test_hashing/test_extension_type_hashing.py +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + commit -m "feat(visitors): add visit_extension dispatch; rewrite SemanticHashingVisitor for extension types" +``` + +--- + +## Task 9: Update `StarfixArrowHasher`, delete `SemanticArrowHasher` + +**Files:** +- Modify: `src/orcapod/hashing/arrow_hashers.py` + +- [ ] **Step 1: Rewrite `arrow_hashers.py`** + +Delete the entire `SemanticArrowHasher` class. Update `StarfixArrowHasher`: + +```python +from __future__ import annotations + +from typing import TYPE_CHECKING, Any + +import pyarrow as pa +from starfix import ArrowDigester + +from orcapod.hashing.schema_cleaner import clean_schema_for_hashing, has_extension_metadata +from orcapod.hashing.visitors import SemanticHashingVisitor +from orcapod.types import ContentHash +from orcapod.utils import arrow_utils + +if TYPE_CHECKING: + from orcapod.semantic_types.universal_converter import UniversalTypeConverter + from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher + + +class StarfixArrowHasher: + """Arrow table hasher backed by the starfix-python ``ArrowDigester``. + + Pipeline + -------- + 1. **Semantic pre-processing** — the ``SemanticHashingVisitor`` traverses + every column. Extension-typed columns whose Python type has a registered + semantic hasher are replaced with ``pa.large_binary()`` hash tokens + (e.g. ``Path`` columns are replaced by their file-content hash). + Extension-typed columns without a registered hasher pass through with + their full extension metadata intact. + 2. **Starfix hashing** — ``ArrowDigester.hash_table`` produces a 35-byte + versioned SHA-256 digest that is byte-for-byte identical to the Rust + ``starfix`` crate output. + + Parameters + ---------- + type_converter: + ``UniversalTypeConverter`` used to resolve extension types to Python + types and convert storage values back to Python objects. + semantic_hasher: + ``SemanticAwarePythonHasher`` used to hash Python objects extracted + from extension-typed columns. + hasher_id: + String identifier embedded in every ``ContentHash`` produced by this + hasher. + """ + + def __init__( + self, + type_converter: "UniversalTypeConverter", + semantic_hasher: "SemanticAwarePythonHasher", + hasher_id: str, + ) -> None: + self._type_converter = type_converter + self._semantic_hasher = semantic_hasher + self._hasher_id = hasher_id + + @property + def hasher_id(self) -> str: + return self._hasher_id + + def _process_table_columns(self, table: "pa.Table | pa.RecordBatch") -> "pa.Table": + """Replace semantic-typed columns with their content-hash bytes.""" + new_columns: list[pa.Array] = [] + new_fields: list[pa.Field] = [] + + for i, field in enumerate(table.schema): + # Short-circuit: columns that cannot contain semantic types skip + # the costly Python round-trip. Extension types must pass through + # so visit_extension can process them. + if not ( + isinstance(field.type, pa.ExtensionType) + or pa.types.is_struct(field.type) + or pa.types.is_list(field.type) + or pa.types.is_large_list(field.type) + or pa.types.is_fixed_size_list(field.type) + or pa.types.is_map(field.type) + ): + new_columns.append(table.column(i)) + new_fields.append(field) + continue + + column_data = table.column(i).to_pylist() + visitor = SemanticHashingVisitor(self._type_converter, self._semantic_hasher) + + try: + new_type: pa.DataType | None = None + processed_data: list[Any] = [] + for value in column_data: + processed_type, processed_value = visitor.visit(field.type, value) + if new_type is None and processed_value is not None: + new_type = processed_type + processed_data.append(processed_value) + + if new_type is None: + new_type = field.type + new_columns.append(pa.array(processed_data, type=new_type)) + new_fields.append(field.with_type(new_type)) + + except Exception as exc: + raise RuntimeError( + f"Failed to process column '{field.name}': {exc}" + ) from exc + + return pa.table( + new_columns, + schema=pa.schema(new_fields, metadata=table.schema.metadata), + ) + + def hash_schema(self, schema: "pa.Schema") -> ContentHash: + """Hash an Arrow schema using the starfix canonical algorithm.""" + include_meta = has_extension_metadata(schema) + if include_meta: + schema = clean_schema_for_hashing(schema) + digest = ArrowDigester.hash_schema(schema, include_metadata=include_meta) + return ContentHash(method=self._hasher_id, digest=digest) + + def hash_table(self, table: "pa.Table | pa.RecordBatch") -> ContentHash: + """Hash an Arrow table (or ``RecordBatch``) using starfix.""" + if isinstance(table, pa.RecordBatch): + table = pa.Table.from_batches([table]) + + processed_table = self._process_table_columns(table) + include_meta = has_extension_metadata(processed_table.schema) + if include_meta: + clean_schema = clean_schema_for_hashing(processed_table.schema) + clean_table = pa.Table.from_arrays( + processed_table.columns, schema=clean_schema + ) + else: + clean_table = processed_table + digest = ArrowDigester.hash_table(clean_table, include_metadata=include_meta) + return ContentHash(method=self._hasher_id, digest=digest) +``` + +- [ ] **Step 2: Commit** + +```bash +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + add src/orcapod/hashing/arrow_hashers.py +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + commit -m "refactor(arrow_hashers): update StarfixArrowHasher for extension types, delete SemanticArrowHasher" +``` + +--- + +## Task 10: Update `test_starfix_arrow_hasher.py`, run tests + +**Files:** +- Modify: `tests/test_hashing/test_starfix_arrow_hasher.py` + +- [ ] **Step 1: Update `_make_hasher()` and remove `SemanticTypeRegistry` import** + +```python +# Remove this import: +# from orcapod.semantic_types import SemanticTypeRegistry + +# Update _make_hasher(): +def _make_hasher() -> StarfixArrowHasher: + from orcapod.contexts import get_default_context + ctx = get_default_context() + return StarfixArrowHasher( + type_converter=ctx.type_converter, + semantic_hasher=ctx.semantic_hasher, + hasher_id=HASHER_ID, + ) +``` + +- [ ] **Step 2: Run the hashing test suite** + +```bash +uv run --project /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + pytest tests/test_hashing/ -x -v +``` + +Expected: all tests pass (golden digests unchanged for plain-schema tables; extension type tests pass). + +- [ ] **Step 3: Commit** + +```bash +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + add tests/test_hashing/test_starfix_arrow_hasher.py +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + commit -m "test(starfix_arrow_hasher): update _make_hasher() for new constructor, remove SemanticTypeRegistry import" +``` + +--- + +## Task 11: Update `v0.1.json`, `context_schema.json`, and `versioned_hashers.py` + +**Files:** +- Modify: `src/orcapod/contexts/data/v0.1.json` +- Modify: `src/orcapod/contexts/data/schemas/context_schema.json` +- Modify: `src/orcapod/hashing/versioned_hashers.py` + +- [ ] **Step 1: Rewrite `v0.1.json`** + +Key design note: `arrow_hasher` now depends on `semantic_hasher`, and `semantic_hasher` depends on `python_type_semantic_hasher_registry`. To avoid a circular dependency, the `pa.Table`/`pa.RecordBatch` handler entries are **removed** from the registry's handlers list (those entries previously referenced `arrow_hasher`). The JSON construction order is: `file_hasher` → `type_converter` → `function_info_extractor` → `python_type_semantic_hasher_registry` → `semantic_hasher` → `arrow_hasher`. + +```json +{ + "context_key": "std:v0.1:default", + "version": "v0.1", + "description": "Initial stable release with extension type hashing support", + "file_hasher": { + "_class": "orcapod.hashing.file_hashers.BasicFileHasher", + "_config": { + "algorithm": "sha256" + } + }, + "type_converter": { + "_class": "orcapod.semantic_types.universal_converter.UniversalTypeConverter", + "_config": { + "logical_type_registry": { + "_class": "orcapod.extension_types.registry.LogicalTypeRegistry", + "_config": { + "logical_types": [ + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUPath", + "_config": {} + }, + { + "_class": "orcapod.extension_types.builtin_logical_types.LogicalUUID", + "_config": {} + } + ], + "factories": [ + { + "factory": { + "_class": "orcapod.extension_types.dataclass_logical_type_factory.DataclassLogicalTypeFactory", + "_config": {} + }, + "category": "orcapod.dataclass", + "python_bases": [{"_type": "builtins.object"}] + }, + { + "factory": { + "_class": "orcapod.extension_types.pydantic_logical_type_factory.PydanticLogicalTypeFactory", + "_config": {} + }, + "category": "orcapod.pydantic", + "python_bases": [{"_type": "pydantic.BaseModel"}] + } + ] + } + } + } + }, + "function_info_extractor": { + "_class": "orcapod.hashing.semantic_hashing.function_info_extractors.FunctionSignatureExtractor", + "_config": { + "include_module": true, + "include_defaults": true + } + }, + "python_type_semantic_hasher_registry": { + "_class": "orcapod.hashing.semantic_hashing.type_handler_registry.PythonTypeSemanticHasherRegistry", + "_config": { + "handlers": [ + [{"_type": "builtins.bytes"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesSemanticHasher", "_config": {}}], + [{"_type": "builtins.bytearray"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesSemanticHasher", "_config": {}}], + [{"_type": "pathlib.Path"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.PathSemanticHasher", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], + [{"_type": "upath.core.UPath"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UPathSemanticHasher", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], + [{"_type": "uuid.UUID"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UUIDSemanticHasher", "_config": {}}], + [{"_type": "types.FunctionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionSemanticHasher", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "types.BuiltinFunctionType"},{"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionSemanticHasher", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "types.MethodType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionSemanticHasher", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "builtins.type"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.TypeObjectSemanticHasher", "_config": {}}], + [{"_type": "types.GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasSemanticHasher", "_config": {}}], + [{"_type": "types.UnionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UnionTypeSemanticHasher", "_config": {}}], + [{"_type": "typing._GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasSemanticHasher", "_config": {}}], + [{"_type": "typing._SpecialForm"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.SpecialFormSemanticHasher", "_config": {}}] + ] + } + }, + "semantic_hasher": { + "_class": "orcapod.hashing.semantic_hashing.semantic_hasher.SemanticAwarePythonHasher", + "_config": { + "hasher_id": "semantic_v0.1", + "type_semantic_hasher_registry": { + "_ref": "python_type_semantic_hasher_registry" + } + } + }, + "arrow_hasher": { + "_class": "orcapod.hashing.arrow_hashers.StarfixArrowHasher", + "_config": { + "hasher_id": "arrow_v0.1", + "type_converter": {"_ref": "type_converter"}, + "semantic_hasher": {"_ref": "semantic_hasher"} + } + }, + "metadata": { + "created_date": "2026-06-24", + "author": "OrcaPod Core Team", + "changelog": [ + "Initial release with Path semantic type support", + "Basic SHA-256 hashing for files and objects", + "Arrow logical serialization method", + "Introduced arrow_v0.1 StarfixArrowHasher using starfix ArrowDigester for cross-language-compatible Arrow hashing", + "Hard cut: replaced shape-based SemanticTypeRegistry with extension-type hashing; renamed all hashing classes to clearer names" + ] + } +} +``` + +- [ ] **Step 2: Update `context_schema.json`** + +Two changes: +1. Remove the `semantic_registry` property from `properties`. +2. Rename `type_handler_registry` → `python_type_semantic_hasher_registry` in `properties`. + +```json +"python_type_semantic_hasher_registry": { + "$ref": "#/$defs/objectspec", + "description": "ObjectSpec for the PythonTypeSemanticHasherRegistry used by the semantic hasher" +}, +``` + +Also update the `examples` section references and remove the `"semantic_registry"` entry. + +- [ ] **Step 3: Update `versioned_hashers.py`** + +```python +""" +Versioned hasher factories for OrcaPod. +""" + +from __future__ import annotations + +import logging +from typing import Any + +from orcapod.protocols import hashing_protocols as hp + +logger = logging.getLogger(__name__) + +_CURRENT_SEMANTIC_HASHER_ID = "semantic_v0.1" +_CURRENT_ARROW_HASHER_ID = "arrow_v0.1" + + +def get_versioned_semantic_hasher( + hasher_id: str = _CURRENT_SEMANTIC_HASHER_ID, + strict: bool = True, + type_semantic_hasher_registry: "Any | None" = None, +) -> hp.SemanticHasherProtocol: + """Return a SemanticAwarePythonHasher configured for the current version. + + Parameters + ---------- + hasher_id: + Identifier embedded in every ContentHash produced by this hasher. + strict: + When True raises TypeError for unhandled types. When False falls back + to a best-effort string representation. + type_semantic_hasher_registry: + Optional ``PythonTypeSemanticHasherRegistry`` to inject. When None the + global default registry is used. + """ + from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher + + if type_semantic_hasher_registry is None: + from orcapod.hashing.semantic_hashing.type_handler_registry import ( + get_default_python_type_semantic_hasher_registry, + ) + type_semantic_hasher_registry = get_default_python_type_semantic_hasher_registry() + + logger.debug( + "get_versioned_semantic_hasher: creating SemanticAwarePythonHasher " + "(hasher_id=%r, strict=%r)", + hasher_id, + strict, + ) + return SemanticAwarePythonHasher( + hasher_id=hasher_id, + type_semantic_hasher_registry=type_semantic_hasher_registry, + strict=strict, + ) + + +def get_versioned_semantic_arrow_hasher( + hasher_id: str = _CURRENT_ARROW_HASHER_ID, +) -> hp.ArrowHasherProtocol: + """Return a StarfixArrowHasher configured for the current version. + + Sources ``type_converter`` and ``semantic_hasher`` from the default + ``DataContext`` so that the arrow hasher is consistent with all other + versioned components. + + Parameters + ---------- + hasher_id: + Identifier embedded in every ContentHash produced by this hasher. + """ + from orcapod.hashing.arrow_hashers import StarfixArrowHasher + from orcapod.contexts import resolve_context + + ctx = resolve_context(None) # default context + logger.debug( + "get_versioned_semantic_arrow_hasher: creating StarfixArrowHasher " + "(hasher_id=%r)", + hasher_id, + ) + return StarfixArrowHasher( + hasher_id=hasher_id, + type_converter=ctx.type_converter, + semantic_hasher=ctx.semantic_hasher, + ) +``` + +- [ ] **Step 4: Run the full test suite (except test_semantic_types)** + +```bash +uv run --project /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + pytest tests/test_hashing/ tests/test_extension_types/ tests/test_core/ -x -v +``` + +Expected: all tests pass. + +- [ ] **Step 5: Commit** + +```bash +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + add src/orcapod/contexts/data/v0.1.json \ + src/orcapod/contexts/data/schemas/context_schema.json \ + src/orcapod/hashing/versioned_hashers.py +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + commit -m "feat(v0.1): wire extension type hashing into default context; remove semantic_registry" +``` + +--- + +## Task 12: Delete old semantic type system + grep sweep + final test run + +**Files:** +- Delete: `src/orcapod/semantic_types/semantic_struct_converters.py` +- Delete: `src/orcapod/semantic_types/semantic_registry.py` +- Delete: `tests/test_semantic_types/` (all 9 files) +- Delete: `tests/test_hashing/test_file_hashing_consistency.py` +- Modify: `src/orcapod/semantic_types/__init__.py` +- Modify: `src/orcapod/protocols/semantic_types_protocols.py` + +- [ ] **Step 1: Delete old source files** + +```bash +rm /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python/src/orcapod/semantic_types/semantic_struct_converters.py +rm /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python/src/orcapod/semantic_types/semantic_registry.py +``` + +- [ ] **Step 2: Update `semantic_types/__init__.py`** — remove `SemanticTypeRegistry` export + +```python +from .universal_converter import UniversalTypeConverter +from .type_inference import infer_python_schema_from_pylist_data + +__all__ = [ + "UniversalTypeConverter", + "infer_python_schema_from_pylist_data", +] +``` + +- [ ] **Step 3: Remove `SemanticStructConverterProtocol` from `semantic_types_protocols.py`** + +Delete the `SemanticStructConverterProtocol` class and any imports that only support it. Keep `TypeConverterProtocol` and all other classes. + +- [ ] **Step 4: Delete old test files** + +```bash +rm /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python/tests/test_hashing/test_file_hashing_consistency.py +rm -r /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python/tests/test_semantic_types/ +``` + +- [ ] **Step 5: Grep sweep for stale references** + +```bash +grep -rn \ + "SemanticTypeRegistry\|semantic_registry\|SemanticStructConverter\ +\|BaseSemanticHasher\|TypeHandlerRegistry\|BuiltinTypeHandlerRegistry\ +\|TypeHandlerProtocol\|PathContentHandler\|UPathContentHandler\ +\|UUIDHandler\|BytesHandler\|FunctionHandler\|TypeObjectHandler\ +\|SpecialFormHandler\|GenericAliasHandler\|UnionTypeHandler\|ArrowTableHandler\ +\|SchemaHandler\|register_builtin_handlers\|get_default_type_handler_registry\ +\|type_handler_registry\|get_handler\b\|has_handler\b\|SemanticArrowHasher" \ + /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python/src/ \ + /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python/tests/ \ + 2>/dev/null +``` + +Expected: zero matches (fix any that appear before continuing). + +- [ ] **Step 6: Run full test suite** + +```bash +uv run --project /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + pytest tests/test_hashing/ tests/test_extension_types/ tests/test_core/ -x -v +``` + +Expected: all tests pass. + +- [ ] **Step 7: Final commit** + +```bash +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + add -u +git -C /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python \ + commit -m "feat(PLT-1660): hard cut — delete SemanticTypeRegistry and old struct-based hashing system" +``` + +--- + +## Self-Review + +**Spec coverage:** +- ✅ §1 `visit_extension` added to `ArrowTypeDataVisitor`, `visit()` updated (Task 8) +- ✅ §2 `SemanticHashingVisitor` rewritten with binary encoding (Task 8) +- ✅ §3 `StarfixArrowHasher` constructor updated + short-circuit + `SemanticArrowHasher` deleted (Task 9) +- ✅ §4 `SemanticArrowHasher` deleted (Task 9) +- ✅ §5 All class/method renames applied (Tasks 1–6) +- ✅ §6 Protocol tightened: `hash() -> ContentHash` (Tasks 1, 3, 4) +- ✅ §7 `v0.1.json` updated (Task 11) — note: `pa.Table`/`pa.RecordBatch` handlers removed to break circular dep +- ✅ §8 `context_schema.json` updated (Task 11) +- ✅ §9 `DataContext.core` docstring updated (Task 5) +- ✅ §10 `versioned_hashers.py` sources from context (Task 11) +- ✅ Files to delete: all covered (Task 12) +- ✅ Files to update: covered across Tasks 1–11 + +**Circular dependency note (§7 deviation):** The spec says to add `"semantic_hasher": {"_ref": "semantic_hasher"}` to `arrow_hasher._config`. This is correct and implemented. However, to avoid a construction-order cycle (`arrow_hasher` → `semantic_hasher` → `registry` → `arrow_hasher` via `ArrowTableSemanticHasher`), the `pa.Table` and `pa.RecordBatch` handler entries are removed from the `python_type_semantic_hasher_registry` handlers list in `v0.1.json`. These handlers depended on `arrow_hasher` creating the cycle. The `register_builtin_python_type_semantic_hashers()` function still supports them when `arrow_hasher` is passed explicitly (e.g., for custom registry construction in tests). + +**Type consistency check:** +- `SemanticAwarePythonHasher.__init__` takes `type_semantic_hasher_registry` → `v0.1.json` uses key `type_semantic_hasher_registry` ✅ +- `SemanticHashingVisitor.__init__` takes `type_converter, python_hasher` → `_process_table_columns` passes `self._type_converter, self._semantic_hasher` ✅ +- `StarfixArrowHasher.__init__` takes `type_converter, semantic_hasher, hasher_id` → `versioned_hashers.py` passes these by keyword ✅ +- `PythonTypeSemanticHasherRegistry.get_semantic_hasher(obj)` → `SemanticAwarePythonHasher.hash_object()` calls this ✅ +- `PythonTypeSemanticHasherRegistry.has_semantic_hasher(target_type)` → `SemanticHashingVisitor.visit_extension()` calls this ✅ From 07b114e62b9bcef38e330465c0df6ae141acd510 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 20:47:31 +0000 Subject: [PATCH 194/206] fix(test-objective): update test_hashing.py for renamed hashing classes --- test-objective/unit/test_hashing.py | 196 ++++++++++++++-------------- 1 file changed, 98 insertions(+), 98 deletions(-) diff --git a/test-objective/unit/test_hashing.py b/test-objective/unit/test_hashing.py index c2083c21..5dd04c8c 100644 --- a/test-objective/unit/test_hashing.py +++ b/test-objective/unit/test_hashing.py @@ -1,4 +1,4 @@ -"""Tests for BaseSemanticHasher and TypeHandlerRegistry. +"""Tests for SemanticAwarePythonHasher and PythonTypeSemanticHasherRegistry. Specification-derived tests covering deterministic hashing of primitives, structures, ContentHash pass-through, identity_structure resolution, @@ -13,10 +13,10 @@ import pytest -from orcapod.hashing.semantic_hashing.semantic_hasher import BaseSemanticHasher +from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher from orcapod.hashing.semantic_hashing.type_handler_registry import ( - BuiltinTypeHandlerRegistry, - TypeHandlerRegistry, + BuiltinPythonTypeSemanticHasherRegistry, + PythonTypeSemanticHasherRegistry, ) from orcapod.types import ContentHash @@ -27,27 +27,27 @@ @pytest.fixture -def registry() -> TypeHandlerRegistry: - """An empty TypeHandlerRegistry.""" - return TypeHandlerRegistry() +def registry() -> PythonTypeSemanticHasherRegistry: + """An empty PythonTypeSemanticHasherRegistry.""" + return PythonTypeSemanticHasherRegistry() @pytest.fixture -def hasher(registry: TypeHandlerRegistry) -> BaseSemanticHasher: - """A strict BaseSemanticHasher backed by an empty registry.""" - return BaseSemanticHasher( +def hasher(registry: PythonTypeSemanticHasherRegistry) -> SemanticAwarePythonHasher: + """A strict SemanticAwarePythonHasher backed by an empty registry.""" + return SemanticAwarePythonHasher( hasher_id="test_v1", - type_handler_registry=registry, + type_semantic_hasher_registry=registry, strict=True, ) @pytest.fixture -def lenient_hasher(registry: TypeHandlerRegistry) -> BaseSemanticHasher: - """A non-strict BaseSemanticHasher backed by an empty registry.""" - return BaseSemanticHasher( +def lenient_hasher(registry: PythonTypeSemanticHasherRegistry) -> SemanticAwarePythonHasher: + """A non-strict SemanticAwarePythonHasher backed by an empty registry.""" + return SemanticAwarePythonHasher( hasher_id="test_v1", - type_handler_registry=registry, + type_semantic_hasher_registry=registry, strict=False, ) @@ -58,13 +58,13 @@ def lenient_hasher(registry: TypeHandlerRegistry) -> BaseSemanticHasher: class _FakeHandler: - """Minimal object satisfying TypeHandlerProtocol for testing.""" + """Minimal object satisfying PythonTypeSemanticHasherProtocol for testing.""" def __init__(self, return_value: Any = "handled") -> None: self._return_value = return_value - def handle(self, obj: Any, hasher: BaseSemanticHasher) -> Any: - return self._return_value + def hash(self, obj: Any, hasher: SemanticAwarePythonHasher) -> ContentHash: + return ContentHash(method="fake", digest=str(self._return_value).encode()) class _IdentityObj: @@ -79,18 +79,18 @@ def identity_structure(self) -> Any: def content_hash(self, hasher: Any = None) -> ContentHash: if hasher is not None: return hasher.hash_object(self.identity_structure()) - h = BaseSemanticHasher( - "test_v1", type_handler_registry=TypeHandlerRegistry(), strict=False + h = SemanticAwarePythonHasher( + "test_v1", type_semantic_hasher_registry=PythonTypeSemanticHasherRegistry(), strict=False ) return h.hash_object(self.identity_structure()) # =================================================================== -# BaseSemanticHasher -- primitive hashing +# SemanticAwarePythonHasher -- primitive hashing # =================================================================== -class TestBaseSemanticHasherPrimitives: +class TestSemanticAwarePythonHasherPrimitives: """Primitives (int, str, float, bool, None) are hashed deterministically.""" @pytest.mark.parametrize( @@ -99,21 +99,21 @@ class TestBaseSemanticHasherPrimitives: ids=lambda v: f"{type(v).__name__}({v!r})", ) def test_primitive_produces_content_hash( - self, hasher: BaseSemanticHasher, value: Any + self, hasher: SemanticAwarePythonHasher, value: Any ) -> None: result = hasher.hash_object(value) assert isinstance(result, ContentHash) @pytest.mark.parametrize("value", [42, "hello", 3.14, True, None]) def test_primitive_deterministic( - self, hasher: BaseSemanticHasher, value: Any + self, hasher: SemanticAwarePythonHasher, value: Any ) -> None: """Same input always produces the same hash.""" h1 = hasher.hash_object(value) h2 = hasher.hash_object(value) assert h1 == h2 - def test_different_primitives_differ(self, hasher: BaseSemanticHasher) -> None: + def test_different_primitives_differ(self, hasher: SemanticAwarePythonHasher) -> None: """Different inputs produce different hashes (collision resistance).""" h_int = hasher.hash_object(42) h_str = hasher.hash_object("42") @@ -121,48 +121,48 @@ def test_different_primitives_differ(self, hasher: BaseSemanticHasher) -> None: # =================================================================== -# BaseSemanticHasher -- structures +# SemanticAwarePythonHasher -- structures # =================================================================== -class TestBaseSemanticHasherStructures: +class TestSemanticAwarePythonHasherStructures: """Structures (list, dict, tuple, set) are expanded and hashed.""" - def test_list_hashed(self, hasher: BaseSemanticHasher) -> None: + def test_list_hashed(self, hasher: SemanticAwarePythonHasher) -> None: result = hasher.hash_object([1, 2, 3]) assert isinstance(result, ContentHash) - def test_dict_hashed(self, hasher: BaseSemanticHasher) -> None: + def test_dict_hashed(self, hasher: SemanticAwarePythonHasher) -> None: result = hasher.hash_object({"a": 1, "b": 2}) assert isinstance(result, ContentHash) - def test_tuple_hashed(self, hasher: BaseSemanticHasher) -> None: + def test_tuple_hashed(self, hasher: SemanticAwarePythonHasher) -> None: result = hasher.hash_object((1, 2, 3)) assert isinstance(result, ContentHash) - def test_set_hashed(self, hasher: BaseSemanticHasher) -> None: + def test_set_hashed(self, hasher: SemanticAwarePythonHasher) -> None: result = hasher.hash_object({1, 2, 3}) assert isinstance(result, ContentHash) - def test_list_and_tuple_differ(self, hasher: BaseSemanticHasher) -> None: + def test_list_and_tuple_differ(self, hasher: SemanticAwarePythonHasher) -> None: """list and tuple with same elements produce different hashes.""" h_list = hasher.hash_object([1, 2, 3]) h_tuple = hasher.hash_object((1, 2, 3)) assert h_list != h_tuple - def test_set_order_independent(self, hasher: BaseSemanticHasher) -> None: + def test_set_order_independent(self, hasher: SemanticAwarePythonHasher) -> None: """Sets with the same elements hash identically regardless of insertion order.""" h1 = hasher.hash_object({3, 1, 2}) h2 = hasher.hash_object({1, 2, 3}) assert h1 == h2 - def test_dict_key_order_independent(self, hasher: BaseSemanticHasher) -> None: + def test_dict_key_order_independent(self, hasher: SemanticAwarePythonHasher) -> None: """Dicts with the same key-value pairs hash identically regardless of order.""" h1 = hasher.hash_object({"b": 2, "a": 1}) h2 = hasher.hash_object({"a": 1, "b": 2}) assert h1 == h2 - def test_nested_structures(self, hasher: BaseSemanticHasher) -> None: + def test_nested_structures(self, hasher: SemanticAwarePythonHasher) -> None: """Nested structures are hashed correctly.""" nested = {"key": [1, (2, 3)], "other": {"inner": True}} result = hasher.hash_object(nested) @@ -170,48 +170,48 @@ def test_nested_structures(self, hasher: BaseSemanticHasher) -> None: # Determinism assert result == hasher.hash_object(nested) - def test_different_structures_differ(self, hasher: BaseSemanticHasher) -> None: + def test_different_structures_differ(self, hasher: SemanticAwarePythonHasher) -> None: h1 = hasher.hash_object([1, 2]) h2 = hasher.hash_object([1, 2, 3]) assert h1 != h2 # =================================================================== -# BaseSemanticHasher -- ContentHash passthrough +# SemanticAwarePythonHasher -- ContentHash passthrough # =================================================================== -class TestBaseSemanticHasherContentHash: +class TestSemanticAwarePythonHasherContentHash: """ContentHash inputs are returned as-is (terminal).""" - def test_content_hash_passthrough(self, hasher: BaseSemanticHasher) -> None: + def test_content_hash_passthrough(self, hasher: SemanticAwarePythonHasher) -> None: ch = ContentHash(method="sha256", digest=b"\x00" * 32) result = hasher.hash_object(ch) assert result is ch # =================================================================== -# BaseSemanticHasher -- identity_structure resolution +# SemanticAwarePythonHasher -- identity_structure resolution # =================================================================== -class TestBaseSemanticHasherIdentityStructure: +class TestSemanticAwarePythonHasherIdentityStructure: """Objects implementing identity_structure() are resolved via it.""" - def test_identity_structure_object(self, hasher: BaseSemanticHasher) -> None: + def test_identity_structure_object(self, hasher: SemanticAwarePythonHasher) -> None: obj = _IdentityObj(structure={"name": "test", "version": 1}) result = hasher.hash_object(obj) assert isinstance(result, ContentHash) def test_identity_structure_deterministic( - self, hasher: BaseSemanticHasher + self, hasher: SemanticAwarePythonHasher ) -> None: obj1 = _IdentityObj(structure=[1, 2, 3]) obj2 = _IdentityObj(structure=[1, 2, 3]) assert hasher.hash_object(obj1) == hasher.hash_object(obj2) def test_different_identity_structures_differ( - self, hasher: BaseSemanticHasher + self, hasher: SemanticAwarePythonHasher ) -> None: obj1 = _IdentityObj(structure="alpha") obj2 = _IdentityObj(structure="beta") @@ -219,22 +219,22 @@ def test_different_identity_structures_differ( # =================================================================== -# BaseSemanticHasher -- strict mode +# SemanticAwarePythonHasher -- strict mode # =================================================================== -class TestBaseSemanticHasherStrictMode: +class TestSemanticAwarePythonHasherStrictMode: """Unknown type in strict mode raises TypeError.""" - def test_unknown_type_strict_raises(self, hasher: BaseSemanticHasher) -> None: + def test_unknown_type_strict_raises(self, hasher: SemanticAwarePythonHasher) -> None: class Unknown: pass - with pytest.raises(TypeError, match="no TypeHandlerProtocol registered"): + with pytest.raises(TypeError, match="no PythonTypeSemanticHasherProtocol registered"): hasher.hash_object(Unknown()) def test_unknown_type_lenient_succeeds( - self, lenient_hasher: BaseSemanticHasher + self, lenient_hasher: SemanticAwarePythonHasher ) -> None: class Unknown: pass @@ -244,26 +244,26 @@ class Unknown: # =================================================================== -# BaseSemanticHasher -- collision resistance +# SemanticAwarePythonHasher -- collision resistance # =================================================================== -class TestBaseSemanticHasherCollisionResistance: +class TestSemanticAwarePythonHasherCollisionResistance: """Different inputs produce different hashes.""" - def test_int_vs_string(self, hasher: BaseSemanticHasher) -> None: + def test_int_vs_string(self, hasher: SemanticAwarePythonHasher) -> None: assert hasher.hash_object(1) != hasher.hash_object("1") - def test_empty_list_vs_empty_tuple(self, hasher: BaseSemanticHasher) -> None: + def test_empty_list_vs_empty_tuple(self, hasher: SemanticAwarePythonHasher) -> None: assert hasher.hash_object([]) != hasher.hash_object(()) - def test_empty_dict_vs_empty_list(self, hasher: BaseSemanticHasher) -> None: + def test_empty_dict_vs_empty_list(self, hasher: SemanticAwarePythonHasher) -> None: assert hasher.hash_object({}) != hasher.hash_object([]) - def test_none_vs_string_none(self, hasher: BaseSemanticHasher) -> None: + def test_none_vs_string_none(self, hasher: SemanticAwarePythonHasher) -> None: assert hasher.hash_object(None) != hasher.hash_object("None") - def test_true_vs_one(self, hasher: BaseSemanticHasher) -> None: + def test_true_vs_one(self, hasher: SemanticAwarePythonHasher) -> None: """bool True and int 1 produce different hashes due to JSON encoding.""" h_true = hasher.hash_object(True) h_one = hasher.hash_object(1) @@ -271,34 +271,34 @@ def test_true_vs_one(self, hasher: BaseSemanticHasher) -> None: # =================================================================== -# TypeHandlerRegistry -- register/get_handler roundtrip +# PythonTypeSemanticHasherRegistry -- register/get_semantic_hasher roundtrip # =================================================================== -class TestTypeHandlerRegistryBasics: - """register() + get_handler() roundtrip.""" +class TestPythonTypeSemanticHasherRegistryBasics: + """register() + get_semantic_hasher() roundtrip.""" - def test_register_and_get_handler(self, registry: TypeHandlerRegistry) -> None: + def test_register_and_get_semantic_hasher(self, registry: PythonTypeSemanticHasherRegistry) -> None: handler = _FakeHandler() registry.register(int, handler) - assert registry.get_handler(42) is handler + assert registry.get_semantic_hasher(42) is handler - def test_get_handler_returns_none_for_unregistered( - self, registry: TypeHandlerRegistry + def test_get_semantic_hasher_returns_none_for_unregistered( + self, registry: PythonTypeSemanticHasherRegistry ) -> None: - assert registry.get_handler("hello") is None + assert registry.get_semantic_hasher("hello") is None # =================================================================== -# TypeHandlerRegistry -- MRO-aware lookup +# PythonTypeSemanticHasherRegistry -- MRO-aware lookup # =================================================================== -class TestTypeHandlerRegistryMRO: +class TestPythonTypeSemanticHasherRegistryMRO: """MRO-aware lookup: handler for parent class matches subclass.""" def test_subclass_inherits_parent_handler( - self, registry: TypeHandlerRegistry + self, registry: PythonTypeSemanticHasherRegistry ) -> None: class Base: pass @@ -308,10 +308,10 @@ class Child(Base): handler = _FakeHandler() registry.register(Base, handler) - assert registry.get_handler(Child()) is handler + assert registry.get_semantic_hasher(Child()) is handler def test_specific_handler_overrides_parent( - self, registry: TypeHandlerRegistry + self, registry: PythonTypeSemanticHasherRegistry ) -> None: class Base: pass @@ -323,46 +323,46 @@ class Child(Base): child_handler = _FakeHandler("child") registry.register(Base, parent_handler) registry.register(Child, child_handler) - assert registry.get_handler(Child()) is child_handler - assert registry.get_handler(Base()) is parent_handler + assert registry.get_semantic_hasher(Child()) is child_handler + assert registry.get_semantic_hasher(Base()) is parent_handler # =================================================================== -# TypeHandlerRegistry -- unregister +# PythonTypeSemanticHasherRegistry -- unregister # =================================================================== -class TestTypeHandlerRegistryUnregister: +class TestPythonTypeSemanticHasherRegistryUnregister: """unregister() removes handler.""" - def test_unregister_existing(self, registry: TypeHandlerRegistry) -> None: + def test_unregister_existing(self, registry: PythonTypeSemanticHasherRegistry) -> None: handler = _FakeHandler() registry.register(int, handler) result = registry.unregister(int) assert result is True - assert registry.get_handler(42) is None + assert registry.get_semantic_hasher(42) is None - def test_unregister_nonexistent(self, registry: TypeHandlerRegistry) -> None: + def test_unregister_nonexistent(self, registry: PythonTypeSemanticHasherRegistry) -> None: result = registry.unregister(float) assert result is False # =================================================================== -# TypeHandlerRegistry -- has_handler +# PythonTypeSemanticHasherRegistry -- has_semantic_hasher # =================================================================== -class TestTypeHandlerRegistryHasHandler: - """has_handler() boolean check.""" +class TestPythonTypeSemanticHasherRegistryHasSemanticHasher: + """has_semantic_hasher() boolean check.""" - def test_has_handler_true(self, registry: TypeHandlerRegistry) -> None: + def test_has_semantic_hasher_true(self, registry: PythonTypeSemanticHasherRegistry) -> None: registry.register(int, _FakeHandler()) - assert registry.has_handler(int) is True + assert registry.has_semantic_hasher(int) is True - def test_has_handler_false(self, registry: TypeHandlerRegistry) -> None: - assert registry.has_handler(str) is False + def test_has_semantic_hasher_false(self, registry: PythonTypeSemanticHasherRegistry) -> None: + assert registry.has_semantic_hasher(str) is False - def test_has_handler_via_mro(self, registry: TypeHandlerRegistry) -> None: + def test_has_semantic_hasher_via_mro(self, registry: PythonTypeSemanticHasherRegistry) -> None: class Base: pass @@ -370,21 +370,21 @@ class Child(Base): pass registry.register(Base, _FakeHandler()) - assert registry.has_handler(Child) is True + assert registry.has_semantic_hasher(Child) is True # =================================================================== -# TypeHandlerRegistry -- registered_types +# PythonTypeSemanticHasherRegistry -- registered_types # =================================================================== -class TestTypeHandlerRegistryRegisteredTypes: +class TestPythonTypeSemanticHasherRegistryRegisteredTypes: """registered_types() lists types.""" - def test_registered_types_empty(self, registry: TypeHandlerRegistry) -> None: + def test_registered_types_empty(self, registry: PythonTypeSemanticHasherRegistry) -> None: assert registry.registered_types() == [] - def test_registered_types_populated(self, registry: TypeHandlerRegistry) -> None: + def test_registered_types_populated(self, registry: PythonTypeSemanticHasherRegistry) -> None: registry.register(int, _FakeHandler()) registry.register(str, _FakeHandler()) types = registry.registered_types() @@ -392,14 +392,14 @@ def test_registered_types_populated(self, registry: TypeHandlerRegistry) -> None # =================================================================== -# TypeHandlerRegistry -- thread safety +# PythonTypeSemanticHasherRegistry -- thread safety # =================================================================== -class TestTypeHandlerRegistryThreadSafety: +class TestPythonTypeSemanticHasherRegistryThreadSafety: """Concurrent register/lookup doesn't crash.""" - def test_concurrent_register_lookup(self, registry: TypeHandlerRegistry) -> None: + def test_concurrent_register_lookup(self, registry: PythonTypeSemanticHasherRegistry) -> None: errors: list[Exception] = [] def register_types(start: int, count: int) -> None: @@ -413,9 +413,9 @@ def register_types(start: int, count: int) -> None: def lookup_types() -> None: try: for _ in range(100): - registry.get_handler(42) + registry.get_semantic_hasher(42) registry.registered_types() - registry.has_handler(int) + registry.has_semantic_hasher(int) except Exception as exc: errors.append(exc) @@ -435,13 +435,13 @@ def lookup_types() -> None: # =================================================================== -# BuiltinTypeHandlerRegistry +# BuiltinPythonTypeSemanticHasherRegistry # =================================================================== -class TestBuiltinTypeHandlerRegistry: - """BuiltinTypeHandlerRegistry is pre-populated with built-in handlers.""" +class TestBuiltinPythonTypeSemanticHasherRegistry: + """BuiltinPythonTypeSemanticHasherRegistry is pre-populated with built-in handlers.""" def test_construction(self) -> None: - reg = BuiltinTypeHandlerRegistry() + reg = BuiltinPythonTypeSemanticHasherRegistry() assert len(reg.registered_types()) > 0 From e425d83f981ddc19b059f20468201cdf4c4e2af3 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 21:48:56 +0000 Subject: [PATCH 195/206] =?UTF-8?q?fix(PLT-1660):=20address=20Copilot=20re?= =?UTF-8?q?view=20=E2=80=94=20utf-8=20encoding,=20return=20type=20annotati?= =?UTF-8?q?ons,=20list=20element=20type=20inference,=20always=20register?= =?UTF-8?q?=20ArrowTableSemanticHasher?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../semantic_hashing/builtin_handlers.py | 20 +++++++++---------- src/orcapod/hashing/visitors.py | 10 +++++----- 2 files changed, 15 insertions(+), 15 deletions(-) diff --git a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py index fd5cef22..ca567f76 100644 --- a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py +++ b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py @@ -237,10 +237,11 @@ def register_builtin_python_type_semantic_hashers( ) -> None: """Register all built-in semantic hashers into *registry*. - When ``arrow_hasher`` is None, ``pa.Table`` and ``pa.RecordBatch`` handlers - are **not** registered (to avoid circular dependency in the JSON context - construction — the default context's ``python_type_semantic_hasher_registry`` - is built before ``arrow_hasher``). + ``pa.Table`` and ``pa.RecordBatch`` are always registered via + ``ArrowTableSemanticHasher``. When ``arrow_hasher`` is provided it is + passed through for immediate use; when ``None``, ``ArrowTableSemanticHasher`` + resolves the active arrow hasher lazily via ``get_default_context()`` at + hash time, breaking the construction-time circular dependency. Args: registry: The ``PythonTypeSemanticHasherRegistry`` to populate. @@ -249,7 +250,7 @@ def register_builtin_python_type_semantic_hashers( function_info_extractor: Optional ``FunctionInfoExtractorProtocol``. Defaults to ``FunctionSignatureExtractor``. arrow_hasher: Optional ``ArrowHasherProtocol`` for nested table hashing. - When None, Arrow table handlers are skipped. + When ``None``, lazy resolution via the default context is used. """ if file_hasher is None: from orcapod.hashing.file_hashers import BasicFileHasher @@ -293,11 +294,10 @@ def register_builtin_python_type_semantic_hashers( registry.register(Schema, SchemaSemanticHasher()) - if arrow_hasher is not None: - import pyarrow as _pa - arrow_table_hasher = ArrowTableSemanticHasher(arrow_hasher) - registry.register(_pa.Table, arrow_table_hasher) - registry.register(_pa.RecordBatch, arrow_table_hasher) + import pyarrow as _pa + arrow_table_hasher = ArrowTableSemanticHasher(arrow_hasher) + registry.register(_pa.Table, arrow_table_hasher) + registry.register(_pa.RecordBatch, arrow_table_hasher) logger.debug( "register_builtin_python_type_semantic_hashers: registered %d hashers", diff --git a/src/orcapod/hashing/visitors.py b/src/orcapod/hashing/visitors.py index 72015ebf..ee0da7d5 100644 --- a/src/orcapod/hashing/visitors.py +++ b/src/orcapod/hashing/visitors.py @@ -108,7 +108,7 @@ def visit(self, arrow_type: "pa.DataType", data: Any) -> tuple["pa.DataType", An def _visit_struct_fields( self, struct_type: "pa.StructType", data: dict | None - ) -> tuple["pa.StructType", dict]: + ) -> tuple["pa.StructType", dict | None]: """Recursively process struct fields. Default behavior for regular structs.""" if data is None: return struct_type, None @@ -126,7 +126,7 @@ def _visit_struct_fields( def _visit_list_elements( self, list_type: "pa.ListType", data: list | None - ) -> tuple["pa.DataType", list]: + ) -> tuple["pa.DataType", list | None]: """Recursively process list elements.""" if data is None: return list_type, None @@ -138,7 +138,7 @@ def _visit_list_elements( for item in data: current_element_type, processed_item = self.visit(element_type, item) processed_elements.append(processed_item) - if new_element_type is None: + if new_element_type is None and processed_item is not None: new_element_type = current_element_type if new_element_type is None: @@ -224,7 +224,7 @@ def visit_extension( # The "::" separator is unambiguous because to_prefixed_digest() uses only ":". type_name = extension_type.extension_name.replace(".", ":") hash_bytes = ( - type_name.encode("ascii") + type_name.encode("utf-8") + b"::" + content_hash.to_prefixed_digest() ) @@ -264,7 +264,7 @@ def visit_primitive( def _visit_struct_fields( self, struct_type: "pa.StructType", data: dict | None - ) -> tuple["pa.StructType", dict]: + ) -> tuple["pa.StructType", dict | None]: """Override to add field path tracking for better error messages.""" if data is None: return struct_type, None From 0b55abf62ee25a54bea4db7ea4d95966771babc5 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 22:18:40 +0000 Subject: [PATCH 196/206] refactor(hashing): revert PythonTypeSemanticHasherProtocol.hash() to return Any Handlers now return a representative Python structure instead of a ContentHash. SemanticAwarePythonHasher.hash_object() feeds the result back into hash_object() for final hashing, treating a returned ContentHash as a terminal (no re-hashing). Simple built-in handlers (UUID, Bytes, Function, TypeObject, SpecialForm, GenericAlias, UnionType) are simplified to return plain Python values/structures. Semantic handlers that compute content-based hashes from external data (Path, UPath, ArrowTable) continue to return ContentHash directly, which short-circuits hashing as before. Hash values are preserved: the extra hash_object() call is a no-op for the simple handlers since the structure they return is identical to what they previously delegated to hash_object() internally. Co-Authored-By: Claude Sonnet 4.6 --- .../semantic_hashing/builtin_handlers.py | 40 +++++++++---------- .../semantic_hashing/semantic_hasher.py | 14 +++++-- src/orcapod/protocols/hashing_protocols.py | 22 +++++++--- test-objective/unit/test_hashing.py | 4 +- tests/test_hashing/test_semantic_hasher.py | 8 ++-- 5 files changed, 52 insertions(+), 36 deletions(-) diff --git a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py index ca567f76..35f5a935 100644 --- a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py +++ b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py @@ -95,18 +95,18 @@ def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: class UUIDSemanticHasher: - """Hasher for ``uuid.UUID`` objects — hashes the raw 16-byte binary representation.""" + """Hasher for ``uuid.UUID`` objects — returns the raw 16-byte binary representation.""" - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: - return hasher.hash_object(obj.bytes) + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + return obj.bytes class BytesSemanticHasher: - """Hasher for bytes and bytearray objects — hashes the lowercase hex representation.""" + """Hasher for bytes and bytearray objects — returns the lowercase hex string.""" - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: if isinstance(obj, (bytes, bytearray)): - return hasher.hash_object(obj.hex()) + return obj.hex() raise TypeError( f"BytesSemanticHasher: expected bytes or bytearray, got {type(obj)!r}" ) @@ -123,7 +123,7 @@ class FunctionSemanticHasher: def __init__(self, function_info_extractor: Any) -> None: self.function_info_extractor = function_info_extractor - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: if not (callable(obj) and hasattr(obj, "__code__")): raise TypeError( f"FunctionSemanticHasher: expected a callable with __code__, got {type(obj)!r}" @@ -131,7 +131,7 @@ def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: func_name = getattr(obj, "__name__", repr(obj)) logger.debug("FunctionSemanticHasher: extracting info for function %r", func_name) info: dict[str, Any] = self.function_info_extractor.extract_function_info(obj) - return hasher.hash_object(info) + return info class TypeObjectSemanticHasher: @@ -140,51 +140,51 @@ class TypeObjectSemanticHasher: Returns a stable string of the form ``"type:."``. """ - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: if not isinstance(obj, type): raise TypeError( f"TypeObjectSemanticHasher: expected a type/class, got {type(obj)!r}" ) module: str = obj.__module__ or "" qualname: str = obj.__qualname__ - return hasher.hash_object(f"type:{module}.{qualname}") + return f"type:{module}.{qualname}" class SpecialFormSemanticHasher: """Hasher for ``typing._SpecialForm`` objects such as ``typing.Union``.""" - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: name = getattr(obj, "_name", None) or repr(obj) - return hasher.hash_object(f"special_form:typing.{name}") + return f"special_form:typing.{name}" class GenericAliasSemanticHasher: """Hasher for generic alias type annotations (``dict[int, str]``, ``Optional[X]``, etc.).""" - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: import typing origin = getattr(obj, "__origin__", None) args = getattr(obj, "__args__", None) or () if origin is None: - return hasher.hash_object(f"generic_alias:{obj!r}") + return f"generic_alias:{obj!r}" if origin is typing.Union: hashed_args = sorted(hasher.hash_object(arg).to_string() for arg in args) - return hasher.hash_object({"__type__": "union", "args": hashed_args}) - return hasher.hash_object({ + return {"__type__": "union", "args": hashed_args} + return { "__type__": "generic_alias", "origin": hasher.hash_object(origin).to_string(), "args": [hasher.hash_object(arg).to_string() for arg in args], - }) + } class UnionTypeSemanticHasher: """Hasher for ``types.UnionType`` objects (Python 3.10+ ``X | Y`` syntax).""" - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: args = getattr(obj, "__args__", None) or () hashed_args = sorted(hasher.hash_object(arg).to_string() for arg in args) - return hasher.hash_object({"__type__": "union", "args": hashed_args}) + return {"__type__": "union", "args": hashed_args} class ArrowTableSemanticHasher: @@ -221,7 +221,7 @@ def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: class SchemaSemanticHasher: """Hasher for ``Schema`` objects.""" - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: if not isinstance(obj, Schema): raise TypeError( f"SchemaSemanticHasher: expected a Schema, got {type(obj)!r}" diff --git a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py index 300f6987..fbf5abb1 100644 --- a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py +++ b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py @@ -13,7 +13,9 @@ - Primitive → JSON-serialise + SHA-256 - Structure → delegate to ``_expand_structure``, then JSON-serialise the resulting tagged tree + SHA-256 - - Semantic hasher match → semantic_hasher.hash(obj, self) returns ContentHash directly + - Semantic hasher match → semantic_hasher.hash(obj, self) returns a representative + Python structure (or ContentHash as terminal); the result + is fed back into hash_object for final hashing - ContentIdentifiableProtocol→ call identity_structure(), recurse via hash_object - Fallback → strict error or best-effort string, then hash @@ -143,7 +145,8 @@ def hash_object( - ContentHash → terminal; returned as-is - Primitive → JSON-serialised and hashed directly - Structure → structurally expanded then hashed - - Semantic hasher match → semantic_hasher.hash(obj, self) returns ContentHash directly + - Semantic hasher match → handler.hash(obj, self) returns a representative Python + structure (or ContentHash); result is fed back into hash_object for final hashing - ContentIdentifiableProtocol→ resolver(obj) if resolver provided, else obj.content_hash() - Unknown type → TypeError in strict mode; best-effort otherwise @@ -174,7 +177,9 @@ def hash_object( ) return self._hash_to_content_hash(expanded) - # Semantic hasher dispatch: the hasher produces a ContentHash directly. + # Semantic hasher dispatch: handler returns a representative Python structure + # (or a ContentHash as terminal); feed the result back into hash_object so + # that returning a plain structure is equivalent to calling hash_object on it. semantic_hasher = self._registry.get_semantic_hasher(obj) if semantic_hasher is not None: logger.debug( @@ -182,7 +187,8 @@ def hash_object( type(obj).__name__, type(semantic_hasher).__name__, ) - return semantic_hasher.hash(obj, self) + result = semantic_hasher.hash(obj, self) + return self.hash_object(result, resolver=resolver) # ContentIdentifiableProtocol: use resolver if provided, else content_hash(). if isinstance(obj, hp.ContentIdentifiableProtocol): diff --git a/src/orcapod/protocols/hashing_protocols.py b/src/orcapod/protocols/hashing_protocols.py index e60d9c12..6a260d30 100644 --- a/src/orcapod/protocols/hashing_protocols.py +++ b/src/orcapod/protocols/hashing_protocols.py @@ -52,8 +52,9 @@ def content_hash(self, hasher: "SemanticHasherProtocol | None" = None) -> Conten class PythonTypeSemanticHasherProtocol(Protocol): """Protocol for type-specific semantic hashers used by SemanticAwarePythonHasher. - A ``PythonTypeSemanticHasherProtocol`` hashes a specific Python type to a - ``ContentHash``. Implementations are registered with a + A ``PythonTypeSemanticHasherProtocol`` converts a specific Python type into a + representative Python structure that ``SemanticAwarePythonHasher.hash_object()`` + can then hash. Implementations are registered with a ``PythonTypeSemanticHasherRegistry`` and looked up via MRO-aware resolution. Each implementation receives the full ``SemanticAwarePythonHasher`` so it can @@ -61,16 +62,25 @@ class PythonTypeSemanticHasherProtocol(Protocol): specific hasher instance. """ - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: - """Hash *obj* to a ContentHash. + def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + """Return a representative Python structure for *obj*. + + The returned value is passed back into + ``SemanticAwarePythonHasher.hash_object()`` for final hashing. Returning + a ``ContentHash`` short-circuits the process: the caller returns it as-is + without re-hashing. This is useful for handlers that compute content-based + hashes from external data (e.g. file content, Arrow tables). Args: obj: The object to hash. Always matches the registered type. hasher: The active ``SemanticAwarePythonHasher``. Use - ``hasher.hash_object(sub_value)`` to hash sub-values. + ``hasher.hash_object(sub_value)`` to hash sub-values that + require type-specific treatment. Returns: - ContentHash: The content-addressed hash of *obj*. + A representative Python structure (primitive, dict, list, bytes, etc.) + that will be passed into ``hash_object()`` for final hashing, or a + ``ContentHash`` to terminate hashing immediately. """ ... diff --git a/test-objective/unit/test_hashing.py b/test-objective/unit/test_hashing.py index 5dd04c8c..a72e2810 100644 --- a/test-objective/unit/test_hashing.py +++ b/test-objective/unit/test_hashing.py @@ -63,8 +63,8 @@ class _FakeHandler: def __init__(self, return_value: Any = "handled") -> None: self._return_value = return_value - def hash(self, obj: Any, hasher: SemanticAwarePythonHasher) -> ContentHash: - return ContentHash(method="fake", digest=str(self._return_value).encode()) + def hash(self, obj: Any, hasher: SemanticAwarePythonHasher) -> Any: + return str(self._return_value) class _IdentityObj: diff --git a/tests/test_hashing/test_semantic_hasher.py b/tests/test_hashing/test_semantic_hasher.py index c6584155..f2c9e84c 100644 --- a/tests/test_hashing/test_semantic_hasher.py +++ b/tests/test_hashing/test_semantic_hasher.py @@ -831,8 +831,8 @@ def __init__(self, tag: str) -> None: self.tag = tag def hash(self, obj: Any, hasher: Any) -> Any: - # Returns a ContentHash by delegating to the outer hasher - return hasher.hash_object(f"{self.tag}:{obj}") + # Returns a representative Python structure; outer hasher performs final hashing + return f"{self.tag}:{obj}" class Base: @@ -953,8 +953,8 @@ def __init__(self, degrees: float) -> None: class CelsiusHandler: - def hash(self, obj: Any, hasher: Any) -> ContentHash: - return hasher.hash_object({"__type__": "Celsius", "degrees": obj.degrees}) + def hash(self, obj: Any, hasher: Any) -> Any: + return {"__type__": "Celsius", "degrees": obj.degrees} class TestCustomHandlerRegistration: From 03cb90ee6806af588604e32e4954c44f825767f5 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 22:23:19 +0000 Subject: [PATCH 197/206] =?UTF-8?q?refactor(hashing):=20rename=20PythonTyp?= =?UTF-8?q?eSemanticHasherProtocol=20=E2=86=92=20PythonTypeHandler,=20hash?= =?UTF-8?q?()=20=E2=86=92=20handle()?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The protocol is now called PythonTypeHandler with a handle() method, more clearly reflecting its role as a type-specific handler that returns a representative Python structure rather than computing a ContentHash directly. All built-in handlers, the registry, the dispatch in SemanticAwarePythonHasher, and all test helpers are updated accordingly. Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/hashing/__init__.py | 6 ++--- .../hashing/semantic_hashing/__init__.py | 4 +-- .../semantic_hashing/builtin_handlers.py | 24 +++++++++--------- .../semantic_hashing/semantic_hasher.py | 16 ++++++------ .../semantic_hashing/type_handler_registry.py | 25 +++++++++++-------- src/orcapod/protocols/hashing_protocols.py | 6 ++--- test-objective/unit/test_hashing.py | 6 ++--- tests/test_hashing/test_semantic_hasher.py | 12 ++++----- 8 files changed, 51 insertions(+), 48 deletions(-) diff --git a/src/orcapod/hashing/__init__.py b/src/orcapod/hashing/__init__.py index ceb0b059..805028ae 100644 --- a/src/orcapod/hashing/__init__.py +++ b/src/orcapod/hashing/__init__.py @@ -5,7 +5,7 @@ ---------- SemanticAwarePythonHasher -- content-based recursive object hasher SemanticHasherProtocol -- protocol for semantic hashers - PythonTypeSemanticHasherRegistry -- registry mapping types to PythonTypeSemanticHasherProtocol instances + PythonTypeSemanticHasherRegistry -- registry mapping types to PythonTypeHandler instances get_default_semantic_hasher -- global default SemanticHasherProtocol factory get_default_python_type_semantic_hasher_registry -- global default registry factory ContentIdentifiableMixin -- convenience mixin for content-identifiable objects @@ -53,7 +53,7 @@ ContentIdentifiableProtocol, FileContentHasherProtocol, FunctionInfoExtractorProtocol, - PythonTypeSemanticHasherProtocol, + PythonTypeHandler, SemanticHasherProtocol, SemanticTypeHasherProtocol, StringCacherProtocol, @@ -97,7 +97,7 @@ "register_builtin_python_type_semantic_hashers", "SemanticHasherProtocol", "ContentIdentifiableProtocol", - "PythonTypeSemanticHasherProtocol", + "PythonTypeHandler", "FileContentHasherProtocol", "ArrowHasherProtocol", "StringCacherProtocol", diff --git a/src/orcapod/hashing/semantic_hashing/__init__.py b/src/orcapod/hashing/semantic_hashing/__init__.py index db0eb765..84781a32 100644 --- a/src/orcapod/hashing/semantic_hashing/__init__.py +++ b/src/orcapod/hashing/semantic_hashing/__init__.py @@ -2,11 +2,11 @@ orcapod.hashing.semantic_hashing ================================= SemanticAwarePythonHasher -- content-based recursive object hasher - PythonTypeSemanticHasherRegistry -- MRO-aware registry mapping types → PythonTypeSemanticHasherProtocol + PythonTypeSemanticHasherRegistry -- MRO-aware registry mapping types → PythonTypeHandler BuiltinPythonTypeSemanticHasherRegistry -- pre-populated registry with built-in hashers ContentIdentifiableMixin -- convenience mixin for content-identifiable objects -Built-in PythonTypeSemanticHasherProtocol implementations: +Built-in PythonTypeHandler implementations: PathSemanticHasher -- pathlib.Path → file-content hash UUIDSemanticHasher -- uuid.UUID → canonical bytes BytesSemanticHasher -- bytes/bytearray → hex string diff --git a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py index 35f5a935..371950db 100644 --- a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py +++ b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py @@ -1,5 +1,5 @@ """ -Built-in PythonTypeSemanticHasherProtocol implementations. +Built-in PythonTypeHandler implementations. PathSemanticHasher -- pathlib.Path: file content hash UPathSemanticHasher -- upath.UPath: file content hash (remote-aware) @@ -51,7 +51,7 @@ class PathSemanticHasher: def __init__(self, file_hasher: "FileContentHasherProtocol") -> None: self.file_hasher = file_hasher - def hash(self, obj: PathLike, hasher: "SemanticAwarePythonHasher") -> ContentHash: + def handle(self, obj: PathLike, hasher: "SemanticAwarePythonHasher") -> ContentHash: path: Path = Path(obj) if not path.exists(): raise FileNotFoundError( @@ -77,7 +77,7 @@ class UPathSemanticHasher: def __init__(self, file_hasher: "FileContentHasherProtocol") -> None: self.file_hasher = file_hasher - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: if not isinstance(obj, UPath): raise TypeError( f"UPathSemanticHasher: expected a UPath, got {type(obj)!r}." @@ -97,14 +97,14 @@ def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: class UUIDSemanticHasher: """Hasher for ``uuid.UUID`` objects — returns the raw 16-byte binary representation.""" - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: return obj.bytes class BytesSemanticHasher: """Hasher for bytes and bytearray objects — returns the lowercase hex string.""" - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: if isinstance(obj, (bytes, bytearray)): return obj.hex() raise TypeError( @@ -123,7 +123,7 @@ class FunctionSemanticHasher: def __init__(self, function_info_extractor: Any) -> None: self.function_info_extractor = function_info_extractor - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: if not (callable(obj) and hasattr(obj, "__code__")): raise TypeError( f"FunctionSemanticHasher: expected a callable with __code__, got {type(obj)!r}" @@ -140,7 +140,7 @@ class TypeObjectSemanticHasher: Returns a stable string of the form ``"type:."``. """ - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: if not isinstance(obj, type): raise TypeError( f"TypeObjectSemanticHasher: expected a type/class, got {type(obj)!r}" @@ -153,7 +153,7 @@ def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: class SpecialFormSemanticHasher: """Hasher for ``typing._SpecialForm`` objects such as ``typing.Union``.""" - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: name = getattr(obj, "_name", None) or repr(obj) return f"special_form:typing.{name}" @@ -161,7 +161,7 @@ def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: class GenericAliasSemanticHasher: """Hasher for generic alias type annotations (``dict[int, str]``, ``Optional[X]``, etc.).""" - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: import typing origin = getattr(obj, "__origin__", None) @@ -181,7 +181,7 @@ def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: class UnionTypeSemanticHasher: """Hasher for ``types.UnionType`` objects (Python 3.10+ ``X | Y`` syntax).""" - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: args = getattr(obj, "__args__", None) or () hashed_args = sorted(hasher.hash_object(arg).to_string() for arg in args) return {"__type__": "union", "args": hashed_args} @@ -206,7 +206,7 @@ def _get_arrow_hasher(self) -> "ArrowHasherProtocol": from orcapod.contexts import get_default_context return get_default_context().arrow_hasher # type: ignore[return-value] - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: import pyarrow as _pa if isinstance(obj, _pa.RecordBatch): @@ -221,7 +221,7 @@ def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: class SchemaSemanticHasher: """Hasher for ``Schema`` objects.""" - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: if not isinstance(obj, Schema): raise TypeError( f"SchemaSemanticHasher: expected a Schema, got {type(obj)!r}" diff --git a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py index fbf5abb1..24211741 100644 --- a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py +++ b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py @@ -13,7 +13,7 @@ - Primitive → JSON-serialise + SHA-256 - Structure → delegate to ``_expand_structure``, then JSON-serialise the resulting tagged tree + SHA-256 - - Semantic hasher match → semantic_hasher.hash(obj, self) returns a representative + - Semantic hasher match → handler.handle(obj, self) returns a representative Python structure (or ContentHash as terminal); the result is fed back into hash_object for final hashing - ContentIdentifiableProtocol→ call identity_structure(), recurse via hash_object @@ -92,7 +92,7 @@ class SemanticAwarePythonHasher: Embedded in every ContentHash produced. type_semantic_hasher_registry: ``PythonTypeSemanticHasherRegistry`` for MRO-aware lookup of - ``PythonTypeSemanticHasherProtocol`` instances. + ``PythonTypeHandler`` instances. If None, the default registry is used. strict: When True (default) raises TypeError for unhandled types. @@ -145,7 +145,7 @@ def hash_object( - ContentHash → terminal; returned as-is - Primitive → JSON-serialised and hashed directly - Structure → structurally expanded then hashed - - Semantic hasher match → handler.hash(obj, self) returns a representative Python + - Semantic hasher match → handler.handle(obj, self) returns a representative Python structure (or ContentHash); result is fed back into hash_object for final hashing - ContentIdentifiableProtocol→ resolver(obj) if resolver provided, else obj.content_hash() - Unknown type → TypeError in strict mode; best-effort otherwise @@ -187,7 +187,7 @@ def hash_object( type(obj).__name__, type(semantic_hasher).__name__, ) - result = semantic_hasher.hash(obj, self) + result = semantic_hasher.handle(obj, self) return self.hash_object(result, resolver=resolver) # ContentIdentifiableProtocol: use resolver if provided, else content_hash(). @@ -366,7 +366,7 @@ def _hash_to_content_hash(self, obj: Any) -> ContentHash: except (TypeError, ValueError) as exc: raise TypeError( f"SemanticAwarePythonHasher: failed to JSON-serialise object of type " - f"{type(obj).__name__!r}. Ensure all PythonTypeSemanticHasherProtocol " + f"{type(obj).__name__!r}. Ensure all PythonTypeHandler " "implementations and identity_structure() return JSON-serialisable " "primitives or structures." ) from exc @@ -389,15 +389,15 @@ def _handle_unknown(self, obj: Any) -> str: if self._strict: raise TypeError( - f"SemanticAwarePythonHasher (strict): no PythonTypeSemanticHasherProtocol " + f"SemanticAwarePythonHasher (strict): no PythonTypeHandler " f"registered for type '{qualified}' and it does not implement " - "ContentIdentifiableProtocol. Register a PythonTypeSemanticHasherProtocol " + "ContentIdentifiableProtocol. Register a PythonTypeHandler " "via the PythonTypeSemanticHasherRegistry or implement " "identity_structure() on the class." ) logger.warning( - "SemanticAwarePythonHasher (non-strict): no PythonTypeSemanticHasherProtocol registered for type '%s'. " + "SemanticAwarePythonHasher (non-strict): no PythonTypeHandler registered for type '%s'. " "Falling back to best-effort string representation.", qualified, ) diff --git a/src/orcapod/hashing/semantic_hashing/type_handler_registry.py b/src/orcapod/hashing/semantic_hashing/type_handler_registry.py index ebae2cb5..decfaf0c 100644 --- a/src/orcapod/hashing/semantic_hashing/type_handler_registry.py +++ b/src/orcapod/hashing/semantic_hashing/type_handler_registry.py @@ -1,5 +1,8 @@ """ -PythonTypeSemanticHasherRegistry — MRO-aware registry for PythonTypeSemanticHasherProtocol instances. +PythonTypeSemanticHasherRegistry — MRO-aware registry for PythonTypeHandler instances. + +``PythonTypeHandler`` is the protocol for type-specific handlers; this registry +provides MRO-aware lookup so subclasses inherit their parent's handler. """ from __future__ import annotations @@ -11,14 +14,14 @@ if TYPE_CHECKING: from orcapod.protocols.hashing_protocols import ( ArrowHasherProtocol, - PythonTypeSemanticHasherProtocol, + PythonTypeHandler, ) logger = logging.getLogger(__name__) class PythonTypeSemanticHasherRegistry: - """Registry mapping Python types to PythonTypeSemanticHasherProtocol instances. + """Registry mapping Python types to PythonTypeHandler instances. Lookup is MRO-aware: when no hasher is registered for the exact type of an object, the registry walks the object's MRO (most-derived first) until @@ -31,20 +34,20 @@ class PythonTypeSemanticHasherRegistry: """ def __init__( - self, handlers: list[tuple[type, "PythonTypeSemanticHasherProtocol"]] | None = None + self, handlers: list[tuple[type, "PythonTypeHandler"]] | None = None ) -> None: """ Args: handlers: Optional list of ``(target_type, hasher)`` pairs to register at construction time. """ - self._handlers: dict[type, "PythonTypeSemanticHasherProtocol"] = {} + self._handlers: dict[type, "PythonTypeHandler"] = {} self._lock = threading.RLock() if handlers: for target_type, handler in handlers: self.register(target_type, handler) - def register(self, target_type: type, handler: "PythonTypeSemanticHasherProtocol") -> None: + def register(self, target_type: type, handler: "PythonTypeHandler") -> None: """Register a hasher for a specific Python type. If a hasher is already registered for *target_type*, it is silently @@ -52,7 +55,7 @@ def register(self, target_type: type, handler: "PythonTypeSemanticHasherProtocol Args: target_type: The Python type (or class) for which the hasher should be used. - handler: A ``PythonTypeSemanticHasherProtocol`` instance. + handler: A ``PythonTypeHandler`` instance. Raises: TypeError: If ``target_type`` is not a ``type``. @@ -87,14 +90,14 @@ def unregister(self, target_type: type) -> bool: return True return False - def get_semantic_hasher(self, obj: Any) -> "PythonTypeSemanticHasherProtocol | None": + def get_semantic_hasher(self, obj: Any) -> "PythonTypeHandler | None": """Look up the hasher for *obj* using MRO-aware resolution. Args: obj: The object for which a hasher is needed. Returns: - The registered ``PythonTypeSemanticHasherProtocol``, or None. + The registered ``PythonTypeHandler``, or None. """ obj_type = type(obj) with self._lock: @@ -114,14 +117,14 @@ def get_semantic_hasher(self, obj: Any) -> "PythonTypeSemanticHasherProtocol | N def get_semantic_hasher_for_type( self, target_type: type - ) -> "PythonTypeSemanticHasherProtocol | None": + ) -> "PythonTypeHandler | None": """Look up the hasher for a *type object* (rather than an instance). Args: target_type: The type to look up. Returns: - The registered ``PythonTypeSemanticHasherProtocol``, or None. + The registered ``PythonTypeHandler``, or None. """ with self._lock: handler = self._handlers.get(target_type) diff --git a/src/orcapod/protocols/hashing_protocols.py b/src/orcapod/protocols/hashing_protocols.py index 6a260d30..d2a2f890 100644 --- a/src/orcapod/protocols/hashing_protocols.py +++ b/src/orcapod/protocols/hashing_protocols.py @@ -49,10 +49,10 @@ def content_hash(self, hasher: "SemanticHasherProtocol | None" = None) -> Conten ... -class PythonTypeSemanticHasherProtocol(Protocol): +class PythonTypeHandler(Protocol): """Protocol for type-specific semantic hashers used by SemanticAwarePythonHasher. - A ``PythonTypeSemanticHasherProtocol`` converts a specific Python type into a + A ``PythonTypeHandler`` converts a specific Python type into a representative Python structure that ``SemanticAwarePythonHasher.hash_object()`` can then hash. Implementations are registered with a ``PythonTypeSemanticHasherRegistry`` and looked up via MRO-aware resolution. @@ -62,7 +62,7 @@ class PythonTypeSemanticHasherProtocol(Protocol): specific hasher instance. """ - def hash(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: """Return a representative Python structure for *obj*. The returned value is passed back into diff --git a/test-objective/unit/test_hashing.py b/test-objective/unit/test_hashing.py index a72e2810..695c01cd 100644 --- a/test-objective/unit/test_hashing.py +++ b/test-objective/unit/test_hashing.py @@ -58,12 +58,12 @@ def lenient_hasher(registry: PythonTypeSemanticHasherRegistry) -> SemanticAwareP class _FakeHandler: - """Minimal object satisfying PythonTypeSemanticHasherProtocol for testing.""" + """Minimal object satisfying PythonTypeHandler for testing.""" def __init__(self, return_value: Any = "handled") -> None: self._return_value = return_value - def hash(self, obj: Any, hasher: SemanticAwarePythonHasher) -> Any: + def handle(self, obj: Any, hasher: SemanticAwarePythonHasher) -> Any: return str(self._return_value) @@ -230,7 +230,7 @@ def test_unknown_type_strict_raises(self, hasher: SemanticAwarePythonHasher) -> class Unknown: pass - with pytest.raises(TypeError, match="no PythonTypeSemanticHasherProtocol registered"): + with pytest.raises(TypeError, match="no PythonTypeHandler registered"): hasher.hash_object(Unknown()) def test_unknown_type_lenient_succeeds( diff --git a/tests/test_hashing/test_semantic_hasher.py b/tests/test_hashing/test_semantic_hasher.py index f2c9e84c..5b3b04a2 100644 --- a/tests/test_hashing/test_semantic_hasher.py +++ b/tests/test_hashing/test_semantic_hasher.py @@ -299,7 +299,7 @@ def __init__(self, x: int) -> None: class TestStrictMode: def test_strict_raises_on_unknown_type(self, hasher): - with pytest.raises(TypeError, match="no PythonTypeSemanticHasherProtocol registered"): + with pytest.raises(TypeError, match="no PythonTypeHandler registered"): hasher.hash_object(Unhandled(1)) def test_non_strict_returns_content_hash(self, lenient_hasher): @@ -830,7 +830,7 @@ class _DummySemanticHasher: def __init__(self, tag: str) -> None: self.tag = tag - def hash(self, obj: Any, hasher: Any) -> Any: + def handle(self, obj: Any, hasher: Any) -> Any: # Returns a representative Python structure; outer hasher performs final hashing return f"{self.tag}:{obj}" @@ -953,7 +953,7 @@ def __init__(self, degrees: float) -> None: class CelsiusHandler: - def hash(self, obj: Any, hasher: Any) -> Any: + def handle(self, obj: Any, hasher: Any) -> Any: return {"__type__": "Celsius", "degrees": obj.degrees} @@ -1008,7 +1008,7 @@ def test_handler_returning_content_hash_is_terminal(self): """A handler that returns a ContentHash must not be re-hashed.""" class DirectHashHandler: - def hash(self, obj: Any, hasher: Any) -> ContentHash: + def handle(self, obj: Any, hasher: Any) -> ContentHash: return ContentHash("direct", b"\xaa" * 32) registry = PythonTypeSemanticHasherRegistry() @@ -1042,8 +1042,8 @@ def __init__(self, k: float) -> None: self.k = k class KelvinHandler: - def hash(self, obj: Any, hasher: Any) -> ContentHash: - return hasher.hash_object({"__type__": "Kelvin", "k": obj.k}) + def handle(self, obj: Any, hasher: Any) -> Any: + return {"__type__": "Kelvin", "k": obj.k} global_registry = get_default_python_type_semantic_hasher_registry() global_registry.register(Kelvin, KelvinHandler()) From 88901cd4c1f2fc21b756e5f55103830b05c63d02 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 23:16:26 +0000 Subject: [PATCH 198/206] =?UTF-8?q?refactor(hashing):=20rename=20*Semantic?= =?UTF-8?q?Hasher=20=E2=86=92=20*Handler,=20PythonTypeSemanticHasherRegist?= =?UTF-8?q?ry=20=E2=86=92=20PythonTypeHandlerRegistry?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Mechanical rename across all source files, JSON configs, and tests: - PathSemanticHasher → PathHandler, UPathSemanticHasher → UPathHandler, UUIDSemanticHasher → UUIDHandler, BytesSemanticHasher → BytesHandler, FunctionSemanticHasher → FunctionHandler, TypeObjectSemanticHasher → TypeObjectHandler, SpecialFormSemanticHasher → SpecialFormHandler, GenericAliasSemanticHasher → GenericAliasHandler, UnionTypeSemanticHasher → UnionTypeHandler, ArrowTableSemanticHasher → ArrowTableHandler, SchemaSemanticHasher → SchemaHandler - register_builtin_python_type_semantic_hashers → register_builtin_python_type_handlers - PythonTypeSemanticHasherRegistry → PythonTypeHandlerRegistry - BuiltinPythonTypeSemanticHasherRegistry → BuiltinPythonTypeHandlerRegistry - get_default_python_type_semantic_hasher_registry → get_default_python_type_handler_registry - type_semantic_hasher_registry param/property → type_handler_registry - JSON config keys and _class values updated accordingly No logic changes. All 3717 tests pass. --- src/orcapod/contexts/core.py | 4 +- .../contexts/data/schemas/context_schema.json | 10 +- src/orcapod/contexts/data/v0.1.json | 38 +- src/orcapod/core/datagrams/datagram.py | 4 +- src/orcapod/hashing/__init__.py | 52 +-- src/orcapod/hashing/defaults.py | 10 +- .../hashing/semantic_hashing/__init__.py | 50 +-- .../semantic_hashing/builtin_handlers.py | 112 ++--- .../semantic_hashing/semantic_hasher.py | 22 +- .../semantic_hashing/type_handler_registry.py | 24 +- src/orcapod/hashing/versioned_hashers.py | 14 +- src/orcapod/hashing/visitors.py | 2 +- src/orcapod/protocols/hashing_protocols.py | 8 +- ...06-24-rename-semantic-hasher-to-handler.md | 422 ++++++++++++++++++ test-objective/unit/test_hashing.py | 78 ++-- .../test_extension_type_hashing.py | 6 +- tests/test_hashing/test_semantic_hasher.py | 96 ++-- tests/test_hashing/test_uuid_handler.py | 16 +- 18 files changed, 695 insertions(+), 273 deletions(-) create mode 100644 superpowers/plans/2026-06-24-rename-semantic-hasher-to-handler.md diff --git a/src/orcapod/contexts/core.py b/src/orcapod/contexts/core.py index 6b4aa2ca..d84ae67f 100644 --- a/src/orcapod/contexts/core.py +++ b/src/orcapod/contexts/core.py @@ -21,8 +21,8 @@ class DataContext: registration. This is the single public API for all type operations. arrow_hasher: Arrow table hasher for this context semantic_hasher: General semantic hasher for this context. The - ``PythonTypeSemanticHasherRegistry`` used for hashing is accessible via - ``semantic_hasher.type_semantic_hasher_registry``. + ``PythonTypeHandlerRegistry`` used for hashing is accessible via + ``semantic_hasher.type_handler_registry``. """ context_key: str diff --git a/src/orcapod/contexts/data/schemas/context_schema.json b/src/orcapod/contexts/data/schemas/context_schema.json index 1a908dfc..73f07dd4 100644 --- a/src/orcapod/contexts/data/schemas/context_schema.json +++ b/src/orcapod/contexts/data/schemas/context_schema.json @@ -53,17 +53,17 @@ "$ref": "#/$defs/objectspec", "description": "ObjectSpec for the semantic hasher component" }, - "python_type_semantic_hasher_registry": { + "python_type_handler_registry": { "$ref": "#/$defs/objectspec", - "description": "ObjectSpec for the PythonTypeSemanticHasherRegistry used by the semantic hasher" + "description": "ObjectSpec for the PythonTypeHandlerRegistry used by the semantic hasher" }, "file_hasher": { "$ref": "#/$defs/objectspec", - "description": "ObjectSpec for the file content hasher (used by PathSemanticHasher)" + "description": "ObjectSpec for the file content hasher (used by PathHandler)" }, "function_info_extractor": { "$ref": "#/$defs/objectspec", - "description": "ObjectSpec for the function info extractor (used by FunctionSemanticHasher)" + "description": "ObjectSpec for the function info extractor (used by FunctionHandler)" }, "metadata": { "type": "object", @@ -180,7 +180,7 @@ "_class": "orcapod.hashing.semantic_hashing.semantic_hasher.SemanticAwarePythonHasher", "_config": { "hasher_id": "semantic_v0.1", - "type_semantic_hasher_registry": {"_ref": "python_type_semantic_hasher_registry"} + "type_handler_registry": {"_ref": "python_type_handler_registry"} } }, "metadata": { diff --git a/src/orcapod/contexts/data/v0.1.json b/src/orcapod/contexts/data/v0.1.json index 447db766..07e8e686 100644 --- a/src/orcapod/contexts/data/v0.1.json +++ b/src/orcapod/contexts/data/v0.1.json @@ -57,25 +57,25 @@ "include_defaults": true } }, - "python_type_semantic_hasher_registry": { - "_class": "orcapod.hashing.semantic_hashing.type_handler_registry.PythonTypeSemanticHasherRegistry", + "python_type_handler_registry": { + "_class": "orcapod.hashing.semantic_hashing.type_handler_registry.PythonTypeHandlerRegistry", "_config": { "handlers": [ - [{"_type": "builtins.bytes"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesSemanticHasher", "_config": {}}], - [{"_type": "builtins.bytearray"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesSemanticHasher", "_config": {}}], - [{"_type": "pathlib.Path"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.PathSemanticHasher", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], - [{"_type": "upath.core.UPath"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UPathSemanticHasher", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], - [{"_type": "uuid.UUID"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UUIDSemanticHasher", "_config": {}}], - [{"_type": "types.FunctionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionSemanticHasher", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], - [{"_type": "types.BuiltinFunctionType"},{"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionSemanticHasher", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], - [{"_type": "types.MethodType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionSemanticHasher", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], - [{"_type": "builtins.type"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.TypeObjectSemanticHasher", "_config": {}}], - [{"_type": "types.GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasSemanticHasher", "_config": {}}], - [{"_type": "types.UnionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UnionTypeSemanticHasher", "_config": {}}], - [{"_type": "typing._GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasSemanticHasher", "_config": {}}], - [{"_type": "typing._SpecialForm"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.SpecialFormSemanticHasher", "_config": {}}], - [{"_type": "pyarrow.Table"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.ArrowTableSemanticHasher", "_config": {}}], - [{"_type": "pyarrow.RecordBatch"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.ArrowTableSemanticHasher", "_config": {}}] + [{"_type": "builtins.bytes"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesHandler", "_config": {}}], + [{"_type": "builtins.bytearray"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.BytesHandler", "_config": {}}], + [{"_type": "pathlib.Path"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.PathHandler", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], + [{"_type": "upath.core.UPath"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UPathHandler", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], + [{"_type": "uuid.UUID"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UUIDHandler", "_config": {}}], + [{"_type": "types.FunctionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionHandler", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "types.BuiltinFunctionType"},{"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionHandler", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "types.MethodType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionHandler", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "builtins.type"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.TypeObjectHandler", "_config": {}}], + [{"_type": "types.GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasHandler", "_config": {}}], + [{"_type": "types.UnionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UnionTypeHandler", "_config": {}}], + [{"_type": "typing._GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasHandler", "_config": {}}], + [{"_type": "typing._SpecialForm"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.SpecialFormHandler", "_config": {}}], + [{"_type": "pyarrow.Table"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.ArrowTableHandler", "_config": {}}], + [{"_type": "pyarrow.RecordBatch"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.ArrowTableHandler", "_config": {}}] ] } }, @@ -83,8 +83,8 @@ "_class": "orcapod.hashing.semantic_hashing.semantic_hasher.SemanticAwarePythonHasher", "_config": { "hasher_id": "semantic_v0.1", - "type_semantic_hasher_registry": { - "_ref": "python_type_semantic_hasher_registry" + "type_handler_registry": { + "_ref": "python_type_handler_registry" } } }, diff --git a/src/orcapod/core/datagrams/datagram.py b/src/orcapod/core/datagrams/datagram.py index 5ebae203..8fa2b48b 100644 --- a/src/orcapod/core/datagrams/datagram.py +++ b/src/orcapod/core/datagrams/datagram.py @@ -12,7 +12,7 @@ - **Dict for value access**: ``__getitem__``, ``get``, ``as_dict()`` always operate through the Python dict (loaded lazily from Arrow when needed). - **Arrow for hashing**: ``content_hash()`` always uses the Arrow table (loaded lazily from - dict when needed) via the data context's ``ArrowTableSemanticHasher``. + dict when needed) via the data context's ``ArrowTableHandler``. - **Meta is always dict**: meta columns are stored as a Python dict regardless of how the primary data was provided; the Arrow meta table is built lazily. """ @@ -418,7 +418,7 @@ def arrow_schema( def identity_structure(self) -> Any: """Return the primary data table as this datagram's identity. - The semantic hasher dispatches ``pa.Table`` to ``ArrowTableSemanticHasher``, + The semantic hasher dispatches ``pa.Table`` to ``ArrowTableHandler``, which delegates to the data context's ``arrow_hasher``. This means ``content_hash()`` (inherited from ``ContentIdentifiableBase``) produces a stable, content-addressed hash of the data columns without any diff --git a/src/orcapod/hashing/__init__.py b/src/orcapod/hashing/__init__.py index 805028ae..658180a0 100644 --- a/src/orcapod/hashing/__init__.py +++ b/src/orcapod/hashing/__init__.py @@ -5,18 +5,18 @@ ---------- SemanticAwarePythonHasher -- content-based recursive object hasher SemanticHasherProtocol -- protocol for semantic hashers - PythonTypeSemanticHasherRegistry -- registry mapping types to PythonTypeHandler instances + PythonTypeHandlerRegistry -- registry mapping types to PythonTypeHandler instances get_default_semantic_hasher -- global default SemanticHasherProtocol factory - get_default_python_type_semantic_hasher_registry -- global default registry factory + get_default_python_type_handler_registry -- global default registry factory ContentIdentifiableMixin -- convenience mixin for content-identifiable objects Built-in hashers (importable for custom registry setup): - PathSemanticHasher - UUIDSemanticHasher - BytesSemanticHasher - FunctionSemanticHasher - TypeObjectSemanticHasher - register_builtin_python_type_semantic_hashers + PathHandler + UUIDHandler + BytesHandler + FunctionHandler + TypeObjectHandler + register_builtin_python_type_handlers Utility: FileContentHasherProtocol @@ -27,26 +27,26 @@ from orcapod.hashing.defaults import ( get_default_arrow_hasher, - get_default_python_type_semantic_hasher_registry, + get_default_python_type_handler_registry, get_default_semantic_hasher, ) from orcapod.hashing.file_hashers import BasicFileHasher, CachedFileHasher from orcapod.hashing.hash_utils import hash_file from orcapod.hashing.semantic_hashing.builtin_handlers import ( - BytesSemanticHasher, - FunctionSemanticHasher, - PathSemanticHasher, - TypeObjectSemanticHasher, - UUIDSemanticHasher, - register_builtin_python_type_semantic_hashers, + BytesHandler, + FunctionHandler, + PathHandler, + TypeObjectHandler, + UUIDHandler, + register_builtin_python_type_handlers, ) from orcapod.hashing.semantic_hashing.content_identifiable_mixin import ( ContentIdentifiableMixin, ) from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher from orcapod.hashing.semantic_hashing.type_handler_registry import ( - BuiltinPythonTypeSemanticHasherRegistry, - PythonTypeSemanticHasherRegistry, + BuiltinPythonTypeHandlerRegistry, + PythonTypeHandlerRegistry, ) from orcapod.protocols.hashing_protocols import ( ArrowHasherProtocol, @@ -84,17 +84,17 @@ __all__ = [ "SemanticAwarePythonHasher", - "PythonTypeSemanticHasherRegistry", - "BuiltinPythonTypeSemanticHasherRegistry", - "get_default_python_type_semantic_hasher_registry", + "PythonTypeHandlerRegistry", + "BuiltinPythonTypeHandlerRegistry", + "get_default_python_type_handler_registry", "get_default_semantic_hasher", "ContentIdentifiableMixin", - "PathSemanticHasher", - "UUIDSemanticHasher", - "BytesSemanticHasher", - "FunctionSemanticHasher", - "TypeObjectSemanticHasher", - "register_builtin_python_type_semantic_hashers", + "PathHandler", + "UUIDHandler", + "BytesHandler", + "FunctionHandler", + "TypeObjectHandler", + "register_builtin_python_type_handlers", "SemanticHasherProtocol", "ContentIdentifiableProtocol", "PythonTypeHandler", diff --git a/src/orcapod/hashing/defaults.py b/src/orcapod/hashing/defaults.py index 21034936..fb95675b 100644 --- a/src/orcapod/hashing/defaults.py +++ b/src/orcapod/hashing/defaults.py @@ -10,24 +10,24 @@ # from its JSON spec. Constructing them here would bypass versioning and # produce hashers that are decoupled from the active data context. -from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeSemanticHasherRegistry +from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeHandlerRegistry from orcapod.protocols import hashing_protocols as hp -def get_default_python_type_semantic_hasher_registry() -> PythonTypeSemanticHasherRegistry: +def get_default_python_type_handler_registry() -> PythonTypeHandlerRegistry: """ - Return the ``PythonTypeSemanticHasherRegistry`` from the default data context's + Return the ``PythonTypeHandlerRegistry`` from the default data context's semantic hasher. The registry is owned by the active ``SemanticAwarePythonHasher``, which is itself versioned inside the active ``DataContext``. Returns: - PythonTypeSemanticHasherRegistry: The type semantic hasher registry from the + PythonTypeHandlerRegistry: The type handler registry from the default data context. """ from orcapod.contexts import get_default_context - return get_default_context().semantic_hasher.type_semantic_hasher_registry + return get_default_context().semantic_hasher.type_handler_registry def get_default_semantic_hasher() -> hp.SemanticHasherProtocol: diff --git a/src/orcapod/hashing/semantic_hashing/__init__.py b/src/orcapod/hashing/semantic_hashing/__init__.py index 84781a32..67d4bd64 100644 --- a/src/orcapod/hashing/semantic_hashing/__init__.py +++ b/src/orcapod/hashing/semantic_hashing/__init__.py @@ -2,31 +2,31 @@ orcapod.hashing.semantic_hashing ================================= SemanticAwarePythonHasher -- content-based recursive object hasher - PythonTypeSemanticHasherRegistry -- MRO-aware registry mapping types → PythonTypeHandler - BuiltinPythonTypeSemanticHasherRegistry -- pre-populated registry with built-in hashers + PythonTypeHandlerRegistry -- MRO-aware registry mapping types → PythonTypeHandler + BuiltinPythonTypeHandlerRegistry -- pre-populated registry with built-in hashers ContentIdentifiableMixin -- convenience mixin for content-identifiable objects Built-in PythonTypeHandler implementations: - PathSemanticHasher -- pathlib.Path → file-content hash - UUIDSemanticHasher -- uuid.UUID → canonical bytes - BytesSemanticHasher -- bytes/bytearray → hex string - FunctionSemanticHasher -- callable → via FunctionInfoExtractorProtocol - TypeObjectSemanticHasher -- type objects → "type:." - register_builtin_python_type_semantic_hashers -- populate a registry with all of the above + PathHandler -- pathlib.Path → file-content hash + UUIDHandler -- uuid.UUID → canonical bytes + BytesHandler -- bytes/bytearray → hex string + FunctionHandler -- callable → via FunctionInfoExtractorProtocol + TypeObjectHandler -- type objects → "type:." + register_builtin_python_type_handlers -- populate a registry with all of the above -Function info extractors (used by FunctionSemanticHasher): +Function info extractors (used by FunctionHandler): FunctionNameExtractor FunctionSignatureExtractor FunctionInfoExtractorFactory """ from orcapod.hashing.semantic_hashing.builtin_handlers import ( - BytesSemanticHasher, - FunctionSemanticHasher, - PathSemanticHasher, - TypeObjectSemanticHasher, - UUIDSemanticHasher, - register_builtin_python_type_semantic_hashers, + BytesHandler, + FunctionHandler, + PathHandler, + TypeObjectHandler, + UUIDHandler, + register_builtin_python_type_handlers, ) from orcapod.hashing.semantic_hashing.content_identifiable_mixin import ( ContentIdentifiableMixin, @@ -38,21 +38,21 @@ ) from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher from orcapod.hashing.semantic_hashing.type_handler_registry import ( - BuiltinPythonTypeSemanticHasherRegistry, - PythonTypeSemanticHasherRegistry, + BuiltinPythonTypeHandlerRegistry, + PythonTypeHandlerRegistry, ) __all__ = [ "SemanticAwarePythonHasher", - "PythonTypeSemanticHasherRegistry", - "BuiltinPythonTypeSemanticHasherRegistry", + "PythonTypeHandlerRegistry", + "BuiltinPythonTypeHandlerRegistry", "ContentIdentifiableMixin", - "PathSemanticHasher", - "UUIDSemanticHasher", - "BytesSemanticHasher", - "FunctionSemanticHasher", - "TypeObjectSemanticHasher", - "register_builtin_python_type_semantic_hashers", + "PathHandler", + "UUIDHandler", + "BytesHandler", + "FunctionHandler", + "TypeObjectHandler", + "register_builtin_python_type_handlers", "FunctionNameExtractor", "FunctionSignatureExtractor", "FunctionInfoExtractorFactory", diff --git a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py index 371950db..469a1fe5 100644 --- a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py +++ b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py @@ -1,19 +1,19 @@ """ Built-in PythonTypeHandler implementations. - PathSemanticHasher -- pathlib.Path: file content hash - UPathSemanticHasher -- upath.UPath: file content hash (remote-aware) - UUIDSemanticHasher -- uuid.UUID: 16-byte binary representation - BytesSemanticHasher -- bytes/bytearray: hex string representation - FunctionSemanticHasher -- callable with __code__: via FunctionInfoExtractorProtocol - TypeObjectSemanticHasher -- type objects: stable "type:." string - SpecialFormSemanticHasher -- typing._SpecialForm - GenericAliasSemanticHasher -- generic alias type annotations - UnionTypeSemanticHasher -- types.UnionType (Python 3.10+ X | Y syntax) - ArrowTableSemanticHasher -- pa.Table / pa.RecordBatch - SchemaSemanticHasher -- Schema objects - -``register_builtin_python_type_semantic_hashers(registry)`` populates a registry + PathHandler -- pathlib.Path: file content hash + UPathHandler -- upath.UPath: file content hash (remote-aware) + UUIDHandler -- uuid.UUID: 16-byte binary representation + BytesHandler -- bytes/bytearray: hex string representation + FunctionHandler -- callable with __code__: via FunctionInfoExtractorProtocol + TypeObjectHandler -- type objects: stable "type:." string + SpecialFormHandler -- typing._SpecialForm + GenericAliasHandler -- generic alias type annotations + UnionTypeHandler -- types.UnionType (Python 3.10+ X | Y syntax) + ArrowTableHandler -- pa.Table / pa.RecordBatch + SchemaHandler -- Schema objects + +``register_builtin_python_type_handlers(registry)`` populates a registry with all of the above. """ @@ -30,7 +30,7 @@ if TYPE_CHECKING: from orcapod.hashing.semantic_hashing.type_handler_registry import ( - PythonTypeSemanticHasherRegistry, + PythonTypeHandlerRegistry, ) from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher from orcapod.protocols.hashing_protocols import ( @@ -41,7 +41,7 @@ logger = logging.getLogger(__name__) -class PathSemanticHasher: +class PathHandler: """Hasher for pathlib.Path objects — hashes file *content*. Args: @@ -55,19 +55,19 @@ def handle(self, obj: PathLike, hasher: "SemanticAwarePythonHasher") -> ContentH path: Path = Path(obj) if not path.exists(): raise FileNotFoundError( - f"PathSemanticHasher: path does not exist: {path!r}. " + f"PathHandler: path does not exist: {path!r}. " "Paths must refer to existing files for content-based hashing." ) if path.is_dir(): raise IsADirectoryError( - f"PathSemanticHasher: path is a directory: {path!r}. " + f"PathHandler: path is a directory: {path!r}. " "Only regular files are supported for content-based hashing." ) - logger.debug("PathSemanticHasher: hashing file content at %s", path) + logger.debug("PathHandler: hashing file content at %s", path) return self.file_hasher.hash_file(path) -class UPathSemanticHasher: +class UPathHandler: """Hasher for universal_pathlib.UPath objects — hashes file content. Args: @@ -80,39 +80,39 @@ def __init__(self, file_hasher: "FileContentHasherProtocol") -> None: def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: if not isinstance(obj, UPath): raise TypeError( - f"UPathSemanticHasher: expected a UPath, got {type(obj)!r}." + f"UPathHandler: expected a UPath, got {type(obj)!r}." ) if not obj.exists(): raise FileNotFoundError( - f"UPathSemanticHasher: path does not exist: {obj!r}." + f"UPathHandler: path does not exist: {obj!r}." ) if obj.is_dir(): raise IsADirectoryError( - f"UPathSemanticHasher: path is a directory: {obj!r}." + f"UPathHandler: path is a directory: {obj!r}." ) - logger.debug("UPathSemanticHasher: hashing file content at %s", obj) + logger.debug("UPathHandler: hashing file content at %s", obj) return self.file_hasher.hash_file(obj) -class UUIDSemanticHasher: +class UUIDHandler: """Hasher for ``uuid.UUID`` objects — returns the raw 16-byte binary representation.""" def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: return obj.bytes -class BytesSemanticHasher: +class BytesHandler: """Hasher for bytes and bytearray objects — returns the lowercase hex string.""" def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: if isinstance(obj, (bytes, bytearray)): return obj.hex() raise TypeError( - f"BytesSemanticHasher: expected bytes or bytearray, got {type(obj)!r}" + f"BytesHandler: expected bytes or bytearray, got {type(obj)!r}" ) -class FunctionSemanticHasher: +class FunctionHandler: """Hasher for Python functions/callables with a ``__code__`` attribute. Args: @@ -126,15 +126,15 @@ def __init__(self, function_info_extractor: Any) -> None: def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: if not (callable(obj) and hasattr(obj, "__code__")): raise TypeError( - f"FunctionSemanticHasher: expected a callable with __code__, got {type(obj)!r}" + f"FunctionHandler: expected a callable with __code__, got {type(obj)!r}" ) func_name = getattr(obj, "__name__", repr(obj)) - logger.debug("FunctionSemanticHasher: extracting info for function %r", func_name) + logger.debug("FunctionHandler: extracting info for function %r", func_name) info: dict[str, Any] = self.function_info_extractor.extract_function_info(obj) return info -class TypeObjectSemanticHasher: +class TypeObjectHandler: """Hasher for type objects (classes passed as values). Returns a stable string of the form ``"type:."``. @@ -143,14 +143,14 @@ class TypeObjectSemanticHasher: def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: if not isinstance(obj, type): raise TypeError( - f"TypeObjectSemanticHasher: expected a type/class, got {type(obj)!r}" + f"TypeObjectHandler: expected a type/class, got {type(obj)!r}" ) module: str = obj.__module__ or "" qualname: str = obj.__qualname__ return f"type:{module}.{qualname}" -class SpecialFormSemanticHasher: +class SpecialFormHandler: """Hasher for ``typing._SpecialForm`` objects such as ``typing.Union``.""" def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: @@ -158,7 +158,7 @@ def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: return f"special_form:typing.{name}" -class GenericAliasSemanticHasher: +class GenericAliasHandler: """Hasher for generic alias type annotations (``dict[int, str]``, ``Optional[X]``, etc.).""" def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: @@ -178,7 +178,7 @@ def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: } -class UnionTypeSemanticHasher: +class UnionTypeHandler: """Hasher for ``types.UnionType`` objects (Python 3.10+ ``X | Y`` syntax).""" def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: @@ -187,7 +187,7 @@ def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: return {"__type__": "union", "args": hashed_args} -class ArrowTableSemanticHasher: +class ArrowTableHandler: """Hasher for ``pa.Table`` and ``pa.RecordBatch`` objects. Args: @@ -213,24 +213,24 @@ def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: obj = _pa.Table.from_batches([obj]) if not isinstance(obj, _pa.Table): raise TypeError( - f"ArrowTableSemanticHasher: expected pa.Table or pa.RecordBatch, got {type(obj)!r}" + f"ArrowTableHandler: expected pa.Table or pa.RecordBatch, got {type(obj)!r}" ) return self._get_arrow_hasher().hash_table(obj) -class SchemaSemanticHasher: +class SchemaHandler: """Hasher for ``Schema`` objects.""" def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: if not isinstance(obj, Schema): raise TypeError( - f"SchemaSemanticHasher: expected a Schema, got {type(obj)!r}" + f"SchemaHandler: expected a Schema, got {type(obj)!r}" ) - raise NotImplementedError("SchemaSemanticHasher is not yet implemented.") + raise NotImplementedError("SchemaHandler is not yet implemented.") -def register_builtin_python_type_semantic_hashers( - registry: "PythonTypeSemanticHasherRegistry", +def register_builtin_python_type_handlers( + registry: "PythonTypeHandlerRegistry", file_hasher: Any = None, function_info_extractor: Any = None, arrow_hasher: "ArrowHasherProtocol | None" = None, @@ -238,13 +238,13 @@ def register_builtin_python_type_semantic_hashers( """Register all built-in semantic hashers into *registry*. ``pa.Table`` and ``pa.RecordBatch`` are always registered via - ``ArrowTableSemanticHasher``. When ``arrow_hasher`` is provided it is - passed through for immediate use; when ``None``, ``ArrowTableSemanticHasher`` + ``ArrowTableHandler``. When ``arrow_hasher`` is provided it is + passed through for immediate use; when ``None``, ``ArrowTableHandler`` resolves the active arrow hasher lazily via ``get_default_context()`` at hash time, breaking the construction-time circular dependency. Args: - registry: The ``PythonTypeSemanticHasherRegistry`` to populate. + registry: The ``PythonTypeHandlerRegistry`` to populate. file_hasher: Optional ``FileContentHasherProtocol`` for path hashing. Defaults to ``BasicFileHasher(sha256)``. function_info_extractor: Optional ``FunctionInfoExtractorProtocol``. @@ -265,41 +265,41 @@ def register_builtin_python_type_semantic_hashers( include_defaults=True, ) - bytes_hasher = BytesSemanticHasher() + bytes_hasher = BytesHandler() registry.register(bytes, bytes_hasher) registry.register(bytearray, bytes_hasher) - registry.register(Path, PathSemanticHasher(file_hasher)) - registry.register(UPath, UPathSemanticHasher(file_hasher)) - registry.register(UUID, UUIDSemanticHasher()) + registry.register(Path, PathHandler(file_hasher)) + registry.register(UPath, UPathHandler(file_hasher)) + registry.register(UUID, UUIDHandler()) import types as _types - function_hasher = FunctionSemanticHasher(function_info_extractor) + function_hasher = FunctionHandler(function_info_extractor) registry.register(_types.FunctionType, function_hasher) registry.register(_types.BuiltinFunctionType, function_hasher) registry.register(_types.MethodType, function_hasher) - registry.register(type, TypeObjectSemanticHasher()) - registry.register(_types.UnionType, UnionTypeSemanticHasher()) + registry.register(type, TypeObjectHandler()) + registry.register(_types.UnionType, UnionTypeHandler()) - generic_alias_hasher = GenericAliasSemanticHasher() + generic_alias_hasher = GenericAliasHandler() registry.register(_types.GenericAlias, generic_alias_hasher) try: import typing as _typing registry.register(_typing._GenericAlias, generic_alias_hasher) # type: ignore[attr-defined] - registry.register(_typing._SpecialForm, SpecialFormSemanticHasher()) # type: ignore[attr-defined] + registry.register(_typing._SpecialForm, SpecialFormHandler()) # type: ignore[attr-defined] except AttributeError: pass - registry.register(Schema, SchemaSemanticHasher()) + registry.register(Schema, SchemaHandler()) import pyarrow as _pa - arrow_table_hasher = ArrowTableSemanticHasher(arrow_hasher) + arrow_table_hasher = ArrowTableHandler(arrow_hasher) registry.register(_pa.Table, arrow_table_hasher) registry.register(_pa.RecordBatch, arrow_table_hasher) logger.debug( - "register_builtin_python_type_semantic_hashers: registered %d hashers", + "register_builtin_python_type_handlers: registered %d hashers", len(registry), ) diff --git a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py index 24211741..a77b2750 100644 --- a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py +++ b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py @@ -71,7 +71,7 @@ from collections.abc import Callable, Mapping from typing import Any -from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeSemanticHasherRegistry +from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeHandlerRegistry from orcapod.protocols import hashing_protocols as hp from orcapod.types import ContentHash @@ -90,8 +90,8 @@ class SemanticAwarePythonHasher: hasher_id: A short string identifying this hasher version/configuration. Embedded in every ContentHash produced. - type_semantic_hasher_registry: - ``PythonTypeSemanticHasherRegistry`` for MRO-aware lookup of + type_handler_registry: + ``PythonTypeHandlerRegistry`` for MRO-aware lookup of ``PythonTypeHandler`` instances. If None, the default registry is used. strict: @@ -102,17 +102,17 @@ class SemanticAwarePythonHasher: def __init__( self, hasher_id: str, - type_semantic_hasher_registry: PythonTypeSemanticHasherRegistry | None = None, + type_handler_registry: PythonTypeHandlerRegistry | None = None, strict: bool = True, ) -> None: self._hasher_id = hasher_id self._strict = strict - if type_semantic_hasher_registry is None: - from orcapod.hashing.defaults import get_default_python_type_semantic_hasher_registry - self._registry = get_default_python_type_semantic_hasher_registry() + if type_handler_registry is None: + from orcapod.hashing.defaults import get_default_python_type_handler_registry + self._registry = get_default_python_type_handler_registry() else: - self._registry = type_semantic_hasher_registry + self._registry = type_handler_registry # ------------------------------------------------------------------ # Public API @@ -127,8 +127,8 @@ def strict(self) -> bool: return self._strict @property - def type_semantic_hasher_registry(self) -> PythonTypeSemanticHasherRegistry: - """Return the ``PythonTypeSemanticHasherRegistry`` used by this hasher.""" + def type_handler_registry(self) -> PythonTypeHandlerRegistry: + """Return the ``PythonTypeHandlerRegistry`` used by this hasher.""" return self._registry def hash_object( @@ -392,7 +392,7 @@ def _handle_unknown(self, obj: Any) -> str: f"SemanticAwarePythonHasher (strict): no PythonTypeHandler " f"registered for type '{qualified}' and it does not implement " "ContentIdentifiableProtocol. Register a PythonTypeHandler " - "via the PythonTypeSemanticHasherRegistry or implement " + "via the PythonTypeHandlerRegistry or implement " "identity_structure() on the class." ) diff --git a/src/orcapod/hashing/semantic_hashing/type_handler_registry.py b/src/orcapod/hashing/semantic_hashing/type_handler_registry.py index decfaf0c..1fcc46b9 100644 --- a/src/orcapod/hashing/semantic_hashing/type_handler_registry.py +++ b/src/orcapod/hashing/semantic_hashing/type_handler_registry.py @@ -1,5 +1,5 @@ """ -PythonTypeSemanticHasherRegistry — MRO-aware registry for PythonTypeHandler instances. +PythonTypeHandlerRegistry — MRO-aware registry for PythonTypeHandler instances. ``PythonTypeHandler`` is the protocol for type-specific handlers; this registry provides MRO-aware lookup so subclasses inherit their parent's handler. @@ -20,7 +20,7 @@ logger = logging.getLogger(__name__) -class PythonTypeSemanticHasherRegistry: +class PythonTypeHandlerRegistry: """Registry mapping Python types to PythonTypeHandler instances. Lookup is MRO-aware: when no hasher is registered for the exact type of @@ -68,7 +68,7 @@ def register(self, target_type: type, handler: "PythonTypeHandler") -> None: existing = self._handlers.get(target_type) if existing is not None and existing is not handler: logger.debug( - "PythonTypeSemanticHasherRegistry: replacing existing hasher for %s (%s -> %s)", + "PythonTypeHandlerRegistry: replacing existing hasher for %s (%s -> %s)", target_type.__name__, type(existing).__name__, type(handler).__name__, @@ -108,7 +108,7 @@ def get_semantic_hasher(self, obj: Any) -> "PythonTypeHandler | None": handler = self._handlers.get(base) if handler is not None: logger.debug( - "PythonTypeSemanticHasherRegistry: resolved hasher for %s via base %s", + "PythonTypeHandlerRegistry: resolved hasher for %s via base %s", obj_type.__name__, base.__name__, ) @@ -152,28 +152,28 @@ def registered_types(self) -> list[type]: def __repr__(self) -> str: with self._lock: names = [t.__name__ for t in self._handlers] - return f"PythonTypeSemanticHasherRegistry(registered={names!r})" + return f"PythonTypeHandlerRegistry(registered={names!r})" def __len__(self) -> int: with self._lock: return len(self._handlers) -def get_default_python_type_semantic_hasher_registry() -> "PythonTypeSemanticHasherRegistry": - """Return the PythonTypeSemanticHasherRegistry from the default data context. +def get_default_python_type_handler_registry() -> "PythonTypeHandlerRegistry": + """Return the PythonTypeHandlerRegistry from the default data context. This is a convenience wrapper; the registry is owned and versioned by the active ``DataContext``. Importing this function from ``orcapod.hashing.defaults`` or ``orcapod.hashing`` is equivalent. """ from orcapod.hashing.defaults import ( - get_default_python_type_semantic_hasher_registry as _get, + get_default_python_type_handler_registry as _get, ) return _get() -class BuiltinPythonTypeSemanticHasherRegistry(PythonTypeSemanticHasherRegistry): - """A PythonTypeSemanticHasherRegistry pre-populated with all built-in hashers. +class BuiltinPythonTypeHandlerRegistry(PythonTypeHandlerRegistry): + """A PythonTypeHandlerRegistry pre-populated with all built-in hashers. Constructed via the data context JSON spec so that the default registry is versioned alongside the rest of the context components. @@ -182,6 +182,6 @@ class BuiltinPythonTypeSemanticHasherRegistry(PythonTypeSemanticHasherRegistry): def __init__(self, arrow_hasher: "ArrowHasherProtocol | None" = None) -> None: super().__init__() from orcapod.hashing.semantic_hashing.builtin_handlers import ( - register_builtin_python_type_semantic_hashers, + register_builtin_python_type_handlers, ) - register_builtin_python_type_semantic_hashers(self, arrow_hasher=arrow_hasher) + register_builtin_python_type_handlers(self, arrow_hasher=arrow_hasher) diff --git a/src/orcapod/hashing/versioned_hashers.py b/src/orcapod/hashing/versioned_hashers.py index a7fed13f..428e065b 100644 --- a/src/orcapod/hashing/versioned_hashers.py +++ b/src/orcapod/hashing/versioned_hashers.py @@ -49,7 +49,7 @@ def get_versioned_semantic_hasher( hasher_id: str = _CURRENT_SEMANTIC_HASHER_ID, strict: bool = True, - type_semantic_hasher_registry: "Any | None" = None, + type_handler_registry: "Any | None" = None, ) -> hp.SemanticHasherProtocol: """Return a SemanticAwarePythonHasher configured for the current version. @@ -60,17 +60,17 @@ def get_versioned_semantic_hasher( strict: When True raises TypeError for unhandled types. When False falls back to a best-effort string representation. - type_semantic_hasher_registry: - Optional ``PythonTypeSemanticHasherRegistry`` to inject. When None the + type_handler_registry: + Optional ``PythonTypeHandlerRegistry`` to inject. When None the global default registry is used. """ from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher - if type_semantic_hasher_registry is None: + if type_handler_registry is None: from orcapod.hashing.semantic_hashing.type_handler_registry import ( - get_default_python_type_semantic_hasher_registry, + get_default_python_type_handler_registry, ) - type_semantic_hasher_registry = get_default_python_type_semantic_hasher_registry() + type_handler_registry = get_default_python_type_handler_registry() logger.debug( "get_versioned_semantic_hasher: creating SemanticAwarePythonHasher " @@ -80,7 +80,7 @@ def get_versioned_semantic_hasher( ) return SemanticAwarePythonHasher( hasher_id=hasher_id, - type_semantic_hasher_registry=type_semantic_hasher_registry, + type_handler_registry=type_handler_registry, strict=strict, ) diff --git a/src/orcapod/hashing/visitors.py b/src/orcapod/hashing/visitors.py index ee0da7d5..feeab8d6 100644 --- a/src/orcapod/hashing/visitors.py +++ b/src/orcapod/hashing/visitors.py @@ -210,7 +210,7 @@ def visit_extension( return extension_type, storage_value # Only hash if a semantic hasher is registered for this Python type. - if not self._python_hasher.type_semantic_hasher_registry.has_semantic_hasher( + if not self._python_hasher.type_handler_registry.has_semantic_hasher( python_type ): return extension_type, storage_value diff --git a/src/orcapod/protocols/hashing_protocols.py b/src/orcapod/protocols/hashing_protocols.py index d2a2f890..33469fc9 100644 --- a/src/orcapod/protocols/hashing_protocols.py +++ b/src/orcapod/protocols/hashing_protocols.py @@ -9,7 +9,7 @@ if TYPE_CHECKING: import pyarrow as pa - from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeSemanticHasherRegistry + from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeHandlerRegistry from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher @@ -55,7 +55,7 @@ class PythonTypeHandler(Protocol): A ``PythonTypeHandler`` converts a specific Python type into a representative Python structure that ``SemanticAwarePythonHasher.hash_object()`` can then hash. Implementations are registered with a - ``PythonTypeSemanticHasherRegistry`` and looked up via MRO-aware resolution. + ``PythonTypeHandlerRegistry`` and looked up via MRO-aware resolution. Each implementation receives the full ``SemanticAwarePythonHasher`` so it can delegate hashing of sub-values back to the outer hasher without coupling to a @@ -102,8 +102,8 @@ def hasher_id(self) -> str: ... @property - def type_semantic_hasher_registry(self) -> "PythonTypeSemanticHasherRegistry": - """Return the PythonTypeSemanticHasherRegistry used by this hasher.""" + def type_handler_registry(self) -> "PythonTypeHandlerRegistry": + """Return the PythonTypeHandlerRegistry used by this hasher.""" ... diff --git a/superpowers/plans/2026-06-24-rename-semantic-hasher-to-handler.md b/superpowers/plans/2026-06-24-rename-semantic-hasher-to-handler.md new file mode 100644 index 00000000..d33489a3 --- /dev/null +++ b/superpowers/plans/2026-06-24-rename-semantic-hasher-to-handler.md @@ -0,0 +1,422 @@ +# Rename *SemanticHasher → *Handler, PythonTypeSemanticHasherRegistry → PythonTypeHandlerRegistry + +> **For agentic workers:** REQUIRED SUB-SKILL: Use sensei:subagent-driven-development (recommended) or sensei:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Mechanically rename all `*SemanticHasher` handler classes to `*Handler`, all `PythonTypeSemanticHasherRegistry` variants to `PythonTypeHandlerRegistry`, and the `type_semantic_hasher_registry` param/property to `type_handler_registry` — no logic changes. + +**Architecture:** Pure find-and-replace of identifiers across ~10 source files and 2 JSON configs. Every old name maps 1-to-1 to a new name. No logic, no interface changes, no backward-compat shims (greenfield project). + +**Tech Stack:** Python, JSON, uv/pytest + +--- + +## File Map + +| File | What changes | +|---|---| +| `src/orcapod/hashing/semantic_hashing/builtin_handlers.py` | 11 class names + function name + docstring/string literals | +| `src/orcapod/hashing/semantic_hashing/type_handler_registry.py` | 3 class/function names + docstrings + internal log strings | +| `src/orcapod/hashing/semantic_hashing/semantic_hasher.py` | param + property name `type_semantic_hasher_registry` → `type_handler_registry` + docstring | +| `src/orcapod/hashing/semantic_hashing/__init__.py` | imports + `__all__` | +| `src/orcapod/hashing/__init__.py` | imports + `__all__` | +| `src/orcapod/hashing/defaults.py` | function name + import + docstring | +| `src/orcapod/hashing/versioned_hashers.py` | param name + import | +| `src/orcapod/protocols/hashing_protocols.py` | property name in `SemanticHasherProtocol` + TYPE_CHECKING import | +| `src/orcapod/contexts/data/v0.1.json` | top-level key, `_class` values, `_ref` value, sub-key | +| `src/orcapod/contexts/data/schemas/context_schema.json` | property key | +| `tests/test_hashing/test_semantic_hasher.py` | imports + usage | +| `tests/test_hashing/test_uuid_handler.py` | imports + usage | +| `tests/test_hashing/test_extension_type_hashing.py` | no old names (already clean) | +| `test-objective/unit/test_hashing.py` | imports, class names, type annotations, comments | + +--- + +## Rename Reference Table + +### Handler classes (builtin_handlers.py + all callers) + +| Old | New | +|---|---| +| `PathSemanticHasher` | `PathHandler` | +| `UPathSemanticHasher` | `UPathHandler` | +| `UUIDSemanticHasher` | `UUIDHandler` | +| `BytesSemanticHasher` | `BytesHandler` | +| `FunctionSemanticHasher` | `FunctionHandler` | +| `TypeObjectSemanticHasher` | `TypeObjectHandler` | +| `SpecialFormSemanticHasher` | `SpecialFormHandler` | +| `GenericAliasSemanticHasher` | `GenericAliasHandler` | +| `UnionTypeSemanticHasher` | `UnionTypeHandler` | +| `ArrowTableSemanticHasher` | `ArrowTableHandler` | +| `SchemaSemanticHasher` | `SchemaHandler` | +| `register_builtin_python_type_semantic_hashers` | `register_builtin_python_type_handlers` | + +### Registry classes (type_handler_registry.py + all callers) + +| Old | New | +|---|---| +| `PythonTypeSemanticHasherRegistry` | `PythonTypeHandlerRegistry` | +| `BuiltinPythonTypeSemanticHasherRegistry` | `BuiltinPythonTypeHandlerRegistry` | +| `get_default_python_type_semantic_hasher_registry` | `get_default_python_type_handler_registry` | + +### Parameter/property (semantic_hasher.py + all callers) + +| Old | New | +|---|---| +| `type_semantic_hasher_registry` | `type_handler_registry` | + +--- + +## Task 1: Rename class definitions and internal strings in `builtin_handlers.py` + +**Files:** +- Modify: `src/orcapod/hashing/semantic_hashing/builtin_handlers.py` + +- [ ] **Step 1: Apply all renames in builtin_handlers.py** + + Changes needed (all are identifier or string-literal renames only): + - Module docstring: update all `*SemanticHasher` names and `register_builtin_python_type_semantic_hashers` + - TYPE_CHECKING import: `PythonTypeSemanticHasherRegistry` → `PythonTypeHandlerRegistry` + - All 11 class definitions: `class PathSemanticHasher` → `class PathHandler`, etc. + - Error messages inside class bodies: e.g. `"PathSemanticHasher: path does not exist"` → `"PathHandler: path does not exist"` + - `logger.debug` strings: e.g. `"PathSemanticHasher: hashing file content"` → `"PathHandler: hashing file content"` + - Function `register_builtin_python_type_semantic_hashers` → `register_builtin_python_type_handlers` + - Docstring inside that function: update `PythonTypeSemanticHasherRegistry` → `PythonTypeHandlerRegistry` + - Final `logger.debug` string: `"register_builtin_python_type_semantic_hashers: registered %d hashers"` → `"register_builtin_python_type_handlers: registered %d hashers"` + +- [ ] **Step 2: Verify file parses correctly** + + ```bash + cd /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python + uv run python -c "from orcapod.hashing.semantic_hashing import builtin_handlers; print('OK')" + ``` + Expected: `OK` + +--- + +## Task 2: Rename class definitions in `type_handler_registry.py` + +**Files:** +- Modify: `src/orcapod/hashing/semantic_hashing/type_handler_registry.py` + +- [ ] **Step 1: Apply all renames in type_handler_registry.py** + + Changes needed: + - Module docstring: `PythonTypeSemanticHasherRegistry` → `PythonTypeHandlerRegistry` + - Class `PythonTypeSemanticHasherRegistry` → `PythonTypeHandlerRegistry` + - `__repr__` method: `"PythonTypeSemanticHasherRegistry(registered=..."` → `"PythonTypeHandlerRegistry(registered=..."` + - `logger.debug` strings that mention `PythonTypeSemanticHasherRegistry` + - Function `get_default_python_type_semantic_hasher_registry` → `get_default_python_type_handler_registry` + - The function body's import: `get_default_python_type_semantic_hasher_registry as _get` → `get_default_python_type_handler_registry as _get` + - Class `BuiltinPythonTypeSemanticHasherRegistry` → `BuiltinPythonTypeHandlerRegistry` + - Docstring: `"A PythonTypeSemanticHasherRegistry pre-populated..."` → `"A PythonTypeHandlerRegistry pre-populated..."` + - `super().__init__()` call — no change needed + - Import inside `__init__`: `register_builtin_python_type_semantic_hashers` → `register_builtin_python_type_handlers` + - Call: `register_builtin_python_type_semantic_hashers(self, ...)` → `register_builtin_python_type_handlers(self, ...)` + +- [ ] **Step 2: Verify file parses correctly** + + ```bash + cd /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python + uv run python -c "from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeHandlerRegistry; print('OK')" + ``` + Expected: `OK` + +--- + +## Task 3: Rename param/property in `semantic_hasher.py` + +**Files:** +- Modify: `src/orcapod/hashing/semantic_hashing/semantic_hasher.py` + +- [ ] **Step 1: Apply renames in semantic_hasher.py** + + Changes needed: + - Import: `PythonTypeSemanticHasherRegistry` → `PythonTypeHandlerRegistry` + - Docstring parameter: `type_semantic_hasher_registry:` → `type_handler_registry:` + - Constructor param: `type_semantic_hasher_registry: PythonTypeHandlerRegistry | None = None` → `type_handler_registry: PythonTypeHandlerRegistry | None = None` + - Constructor body: `if type_semantic_hasher_registry is None:` → `if type_handler_registry is None:` + - Constructor body: `from orcapod.hashing.defaults import get_default_python_type_semantic_hasher_registry` → `get_default_python_type_handler_registry` + - Constructor body: `self._registry = get_default_python_type_semantic_hasher_registry()` → `get_default_python_type_handler_registry()` + - Constructor body: `else: self._registry = type_semantic_hasher_registry` → `else: self._registry = type_handler_registry` + - Property `type_semantic_hasher_registry` → `type_handler_registry` + - Property docstring: `"Return the ``PythonTypeSemanticHasherRegistry``..."` → `"Return the ``PythonTypeHandlerRegistry``..."` + - Property return type annotation: `PythonTypeSemanticHasherRegistry` → `PythonTypeHandlerRegistry` + - Error message in `_handle_unknown`: `"via the PythonTypeSemanticHasherRegistry or"` → `"via the PythonTypeHandlerRegistry or"` + +- [ ] **Step 2: Verify file parses correctly** + + ```bash + cd /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python + uv run python -c "from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher; print('OK')" + ``` + Expected: `OK` + +--- + +## Task 4: Update `semantic_hashing/__init__.py` + +**Files:** +- Modify: `src/orcapod/hashing/semantic_hashing/__init__.py` + +- [ ] **Step 1: Apply renames** + + Changes needed: + - Module docstring: all `*SemanticHasher` names → `*Handler` equivalents + - Import from `builtin_handlers`: `BytesSemanticHasher` → `BytesHandler`, etc.; `register_builtin_python_type_semantic_hashers` → `register_builtin_python_type_handlers` + - Import from `type_handler_registry`: `BuiltinPythonTypeSemanticHasherRegistry` → `BuiltinPythonTypeHandlerRegistry`, `PythonTypeSemanticHasherRegistry` → `PythonTypeHandlerRegistry` + - `__all__`: update all entries to new names + +- [ ] **Step 2: Verify** + + ```bash + cd /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python + uv run python -c "from orcapod.hashing.semantic_hashing import PathHandler, PythonTypeHandlerRegistry, register_builtin_python_type_handlers; print('OK')" + ``` + Expected: `OK` + +--- + +## Task 5: Update `hashing/__init__.py` + +**Files:** +- Modify: `src/orcapod/hashing/__init__.py` + +- [ ] **Step 1: Apply renames** + + Changes needed: + - Module docstring: update all old names + - Import from `defaults`: `get_default_python_type_semantic_hasher_registry` → `get_default_python_type_handler_registry` + - Import from `builtin_handlers`: `BytesSemanticHasher` → `BytesHandler`, etc.; `register_builtin_python_type_semantic_hashers` → `register_builtin_python_type_handlers` + - Import from `type_handler_registry`: `BuiltinPythonTypeSemanticHasherRegistry` → `BuiltinPythonTypeHandlerRegistry`, `PythonTypeSemanticHasherRegistry` → `PythonTypeHandlerRegistry` + - `__all__`: update all entries to new names + +- [ ] **Step 2: Verify** + + ```bash + cd /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python + uv run python -c "from orcapod.hashing import PythonTypeHandlerRegistry, get_default_python_type_handler_registry, BytesHandler; print('OK')" + ``` + Expected: `OK` + +--- + +## Task 6: Update `hashing/defaults.py` + +**Files:** +- Modify: `src/orcapod/hashing/defaults.py` + +- [ ] **Step 1: Apply renames** + + Changes needed: + - Import: `PythonTypeSemanticHasherRegistry` → `PythonTypeHandlerRegistry` + - Function name: `get_default_python_type_semantic_hasher_registry` → `get_default_python_type_handler_registry` + - Return type annotation: `PythonTypeSemanticHasherRegistry` → `PythonTypeHandlerRegistry` + - Docstring: update class name references + - Function body: `get_default_context().semantic_hasher.type_semantic_hasher_registry` → `get_default_context().semantic_hasher.type_handler_registry` + +- [ ] **Step 2: Verify** + + ```bash + cd /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python + uv run python -c "from orcapod.hashing.defaults import get_default_python_type_handler_registry; print('OK')" + ``` + Expected: `OK` + +--- + +## Task 7: Update `hashing/versioned_hashers.py` + +**Files:** +- Modify: `src/orcapod/hashing/versioned_hashers.py` + +- [ ] **Step 1: Apply renames** + + Changes needed: + - Function param: `type_semantic_hasher_registry: "Any | None" = None` → `type_handler_registry: "Any | None" = None` + - Docstring param description: `type_semantic_hasher_registry:` → `type_handler_registry:` + - Import inside function: `get_default_python_type_semantic_hasher_registry` → `get_default_python_type_handler_registry` + - Variable: `type_semantic_hasher_registry = get_default_python_type_semantic_hasher_registry()` → `type_handler_registry = get_default_python_type_handler_registry()` + - `SemanticAwarePythonHasher(... type_semantic_hasher_registry=type_semantic_hasher_registry ...)` → `... type_handler_registry=type_handler_registry ...` + +- [ ] **Step 2: Verify** + + ```bash + cd /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python + uv run python -c "from orcapod.hashing.versioned_hashers import get_versioned_semantic_hasher; print('OK')" + ``` + Expected: `OK` + +--- + +## Task 8: Update `protocols/hashing_protocols.py` + +**Files:** +- Modify: `src/orcapod/protocols/hashing_protocols.py` + +- [ ] **Step 1: Apply renames** + + Changes needed: + - TYPE_CHECKING import: `PythonTypeSemanticHasherRegistry` → `PythonTypeHandlerRegistry` + - `SemanticHasherProtocol.type_semantic_hasher_registry` property → `type_handler_registry` + - Property docstring: `"Return the PythonTypeSemanticHasherRegistry..."` → `"Return the PythonTypeHandlerRegistry..."` + - Property return type annotation: `"PythonTypeSemanticHasherRegistry"` → `"PythonTypeHandlerRegistry"` + +- [ ] **Step 2: Verify** + + ```bash + cd /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python + uv run python -c "from orcapod.protocols.hashing_protocols import SemanticHasherProtocol; print('OK')" + ``` + Expected: `OK` + +--- + +## Task 9: Update `contexts/data/v0.1.json` + +**Files:** +- Modify: `src/orcapod/contexts/data/v0.1.json` + +- [ ] **Step 1: Apply renames** + + Changes needed (4 renames): + 1. Top-level key `"python_type_semantic_hasher_registry"` → `"python_type_handler_registry"` + 2. All `"_class"` values with `*SemanticHasher` suffix — e.g.: + - `"...builtin_handlers.BytesSemanticHasher"` → `"...builtin_handlers.BytesHandler"` + - `"...builtin_handlers.PathSemanticHasher"` → `"...builtin_handlers.PathHandler"` + - `"...builtin_handlers.UPathSemanticHasher"` → `"...builtin_handlers.UPathHandler"` + - `"...builtin_handlers.UUIDSemanticHasher"` → `"...builtin_handlers.UUIDHandler"` + - `"...builtin_handlers.FunctionSemanticHasher"` → `"...builtin_handlers.FunctionHandler"` + - `"...builtin_handlers.TypeObjectSemanticHasher"` → `"...builtin_handlers.TypeObjectHandler"` + - `"...builtin_handlers.GenericAliasSemanticHasher"` → `"...builtin_handlers.GenericAliasHandler"` + - `"...builtin_handlers.UnionTypeSemanticHasher"` → `"...builtin_handlers.UnionTypeHandler"` + - `"...builtin_handlers.SpecialFormSemanticHasher"` → `"...builtin_handlers.SpecialFormHandler"` + - `"...builtin_handlers.ArrowTableSemanticHasher"` → `"...builtin_handlers.ArrowTableHandler"` + - `"...type_handler_registry.PythonTypeSemanticHasherRegistry"` → `"...type_handler_registry.PythonTypeHandlerRegistry"` + 3. Inside `semantic_hasher._config`: sub-key `"type_semantic_hasher_registry"` → `"type_handler_registry"` + 4. Inside `semantic_hasher._config.type_handler_registry`: `"_ref": "python_type_semantic_hasher_registry"` → `"_ref": "python_type_handler_registry"` + +- [ ] **Step 2: Verify JSON is valid and context loads** + + ```bash + cd /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python + uv run python -c "import json; json.load(open('src/orcapod/contexts/data/v0.1.json')); print('JSON OK')" + uv run python -c "from orcapod.contexts import get_default_context; ctx = get_default_context(); print('Context OK')" + ``` + Expected: `JSON OK` then `Context OK` + +--- + +## Task 10: Update `contexts/data/schemas/context_schema.json` + +**Files:** +- Modify: `src/orcapod/contexts/data/schemas/context_schema.json` + +- [ ] **Step 1: Apply renames** + + Changes needed: + - Property key `"python_type_semantic_hasher_registry"` → `"python_type_handler_registry"` (in `properties` section) + - Description string within that property: `"ObjectSpec for the PythonTypeSemanticHasherRegistry..."` → `"ObjectSpec for the PythonTypeHandlerRegistry..."` + - In the `examples` section: `"type_semantic_hasher_registry"` sub-key → `"type_handler_registry"`, and `"_ref": "python_type_semantic_hasher_registry"` → `"_ref": "python_type_handler_registry"` + +- [ ] **Step 2: Verify JSON is valid** + + ```bash + cd /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python + uv run python -c "import json; json.load(open('src/orcapod/contexts/data/schemas/context_schema.json')); print('Schema JSON OK')" + ``` + Expected: `Schema JSON OK` + +--- + +## Task 11: Update test files + +**Files:** +- Modify: `tests/test_hashing/test_semantic_hasher.py` +- Modify: `tests/test_hashing/test_uuid_handler.py` +- Modify: `test-objective/unit/test_hashing.py` + +- [ ] **Step 1: Update `tests/test_hashing/test_semantic_hasher.py`** + + Changes needed: + - Import: `register_builtin_python_type_semantic_hashers` → `register_builtin_python_type_handlers` + - Import: `PythonTypeSemanticHasherRegistry` → `PythonTypeHandlerRegistry` + - Import: `get_default_python_type_semantic_hasher_registry` → `get_default_python_type_handler_registry` + - `make_hasher` body: `registry = PythonTypeSemanticHasherRegistry()` → `PythonTypeHandlerRegistry()`, `register_builtin_python_type_semantic_hashers(registry)` → `register_builtin_python_type_handlers(registry)`, `type_semantic_hasher_registry=registry` → `type_handler_registry=registry` + - All other usages of these names throughout the file (type annotations, variable names, docstrings, comments) + +- [ ] **Step 2: Update `tests/test_hashing/test_uuid_handler.py`** + + Changes needed: + - Import: `register_builtin_python_type_semantic_hashers` → `register_builtin_python_type_handlers` + - Import: `PythonTypeSemanticHasherRegistry` → `PythonTypeHandlerRegistry` + - `_make_hasher` body: same pattern as above + - `type_semantic_hasher_registry=registry` → `type_handler_registry=registry` + +- [ ] **Step 3: Update `test-objective/unit/test_hashing.py`** + + Changes needed (this file has many occurrences — all follow the same pattern): + - Imports: `PythonTypeSemanticHasherRegistry` → `PythonTypeHandlerRegistry`, `BuiltinPythonTypeSemanticHasherRegistry` → `BuiltinPythonTypeHandlerRegistry` + - All fixture/function type annotations: `PythonTypeSemanticHasherRegistry` → `PythonTypeHandlerRegistry` + - All constructor calls: `type_semantic_hasher_registry=registry` → `type_handler_registry=registry` + - All class names in test bodies: `PythonTypeSemanticHasherRegistry()` → `PythonTypeHandlerRegistry()` + - All `BuiltinPythonTypeSemanticHasherRegistry()` → `BuiltinPythonTypeHandlerRegistry()` + - All comments/docstrings mentioning old names + +- [ ] **Step 4: Verify test files parse** + + ```bash + cd /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python + uv run python -m py_compile tests/test_hashing/test_semantic_hasher.py && echo "OK" + uv run python -m py_compile tests/test_hashing/test_uuid_handler.py && echo "OK" + uv run python -m py_compile test-objective/unit/test_hashing.py && echo "OK" + ``` + Expected: three `OK` lines + +--- + +## Task 12: Run tests and commit + +- [ ] **Step 1: Run hashing tests** + + ```bash + cd /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python + uv run pytest tests/test_hashing/ -x -q + ``` + Expected: all tests pass + +- [ ] **Step 2: Run full test suite (excluding deleted semantic types)** + + ```bash + cd /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python + uv run pytest tests/ -x -q --ignore=tests/test_semantic_types + ``` + Expected: all tests pass + +- [ ] **Step 3: Confirm no remaining old names in source** + + ```bash + cd /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python + grep -rn "PathSemanticHasher\|UPathSemanticHasher\|UUIDSemanticHasher\|BytesSemanticHasher\|FunctionSemanticHasher\|TypeObjectSemanticHasher\|SpecialFormSemanticHasher\|GenericAliasSemanticHasher\|UnionTypeSemanticHasher\|ArrowTableSemanticHasher\|SchemaSemanticHasher\|PythonTypeSemanticHasherRegistry\|BuiltinPythonTypeSemanticHasherRegistry\|get_default_python_type_semantic_hasher_registry\|register_builtin_python_type_semantic_hashers\|type_semantic_hasher_registry" src/ tests/ test-objective/ --include="*.py" --include="*.json" | grep -v "^Binary" + ``` + Expected: no matches (zero lines) + +- [ ] **Step 4: Commit** + + ```bash + cd /home/kurouto/kurouto-jobs/dc15d84f-7281-48b5-9e17-435e9a04f175/orcapod-python + git add src/orcapod/hashing/semantic_hashing/builtin_handlers.py + git add src/orcapod/hashing/semantic_hashing/type_handler_registry.py + git add src/orcapod/hashing/semantic_hashing/semantic_hasher.py + git add src/orcapod/hashing/semantic_hashing/__init__.py + git add src/orcapod/hashing/__init__.py + git add src/orcapod/hashing/defaults.py + git add src/orcapod/hashing/versioned_hashers.py + git add src/orcapod/protocols/hashing_protocols.py + git add src/orcapod/contexts/data/v0.1.json + git add src/orcapod/contexts/data/schemas/context_schema.json + git add tests/test_hashing/test_semantic_hasher.py + git add tests/test_hashing/test_uuid_handler.py + git add test-objective/unit/test_hashing.py + git add superpowers/plans/2026-06-24-rename-semantic-hasher-to-handler.md + git commit -m "refactor(hashing): rename *SemanticHasher → *Handler, PythonTypeSemanticHasherRegistry → PythonTypeHandlerRegistry" + ``` diff --git a/test-objective/unit/test_hashing.py b/test-objective/unit/test_hashing.py index 695c01cd..0ef408f4 100644 --- a/test-objective/unit/test_hashing.py +++ b/test-objective/unit/test_hashing.py @@ -1,4 +1,4 @@ -"""Tests for SemanticAwarePythonHasher and PythonTypeSemanticHasherRegistry. +"""Tests for SemanticAwarePythonHasher and PythonTypeHandlerRegistry. Specification-derived tests covering deterministic hashing of primitives, structures, ContentHash pass-through, identity_structure resolution, @@ -15,8 +15,8 @@ from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher from orcapod.hashing.semantic_hashing.type_handler_registry import ( - BuiltinPythonTypeSemanticHasherRegistry, - PythonTypeSemanticHasherRegistry, + BuiltinPythonTypeHandlerRegistry, + PythonTypeHandlerRegistry, ) from orcapod.types import ContentHash @@ -27,27 +27,27 @@ @pytest.fixture -def registry() -> PythonTypeSemanticHasherRegistry: - """An empty PythonTypeSemanticHasherRegistry.""" - return PythonTypeSemanticHasherRegistry() +def registry() -> PythonTypeHandlerRegistry: + """An empty PythonTypeHandlerRegistry.""" + return PythonTypeHandlerRegistry() @pytest.fixture -def hasher(registry: PythonTypeSemanticHasherRegistry) -> SemanticAwarePythonHasher: +def hasher(registry: PythonTypeHandlerRegistry) -> SemanticAwarePythonHasher: """A strict SemanticAwarePythonHasher backed by an empty registry.""" return SemanticAwarePythonHasher( hasher_id="test_v1", - type_semantic_hasher_registry=registry, + type_handler_registry=registry, strict=True, ) @pytest.fixture -def lenient_hasher(registry: PythonTypeSemanticHasherRegistry) -> SemanticAwarePythonHasher: +def lenient_hasher(registry: PythonTypeHandlerRegistry) -> SemanticAwarePythonHasher: """A non-strict SemanticAwarePythonHasher backed by an empty registry.""" return SemanticAwarePythonHasher( hasher_id="test_v1", - type_semantic_hasher_registry=registry, + type_handler_registry=registry, strict=False, ) @@ -80,7 +80,7 @@ def content_hash(self, hasher: Any = None) -> ContentHash: if hasher is not None: return hasher.hash_object(self.identity_structure()) h = SemanticAwarePythonHasher( - "test_v1", type_semantic_hasher_registry=PythonTypeSemanticHasherRegistry(), strict=False + "test_v1", type_handler_registry=PythonTypeHandlerRegistry(), strict=False ) return h.hash_object(self.identity_structure()) @@ -271,34 +271,34 @@ def test_true_vs_one(self, hasher: SemanticAwarePythonHasher) -> None: # =================================================================== -# PythonTypeSemanticHasherRegistry -- register/get_semantic_hasher roundtrip +# PythonTypeHandlerRegistry -- register/get_semantic_hasher roundtrip # =================================================================== -class TestPythonTypeSemanticHasherRegistryBasics: +class TestPythonTypeHandlerRegistryBasics: """register() + get_semantic_hasher() roundtrip.""" - def test_register_and_get_semantic_hasher(self, registry: PythonTypeSemanticHasherRegistry) -> None: + def test_register_and_get_semantic_hasher(self, registry: PythonTypeHandlerRegistry) -> None: handler = _FakeHandler() registry.register(int, handler) assert registry.get_semantic_hasher(42) is handler def test_get_semantic_hasher_returns_none_for_unregistered( - self, registry: PythonTypeSemanticHasherRegistry + self, registry: PythonTypeHandlerRegistry ) -> None: assert registry.get_semantic_hasher("hello") is None # =================================================================== -# PythonTypeSemanticHasherRegistry -- MRO-aware lookup +# PythonTypeHandlerRegistry -- MRO-aware lookup # =================================================================== -class TestPythonTypeSemanticHasherRegistryMRO: +class TestPythonTypeHandlerRegistryMRO: """MRO-aware lookup: handler for parent class matches subclass.""" def test_subclass_inherits_parent_handler( - self, registry: PythonTypeSemanticHasherRegistry + self, registry: PythonTypeHandlerRegistry ) -> None: class Base: pass @@ -311,7 +311,7 @@ class Child(Base): assert registry.get_semantic_hasher(Child()) is handler def test_specific_handler_overrides_parent( - self, registry: PythonTypeSemanticHasherRegistry + self, registry: PythonTypeHandlerRegistry ) -> None: class Base: pass @@ -328,41 +328,41 @@ class Child(Base): # =================================================================== -# PythonTypeSemanticHasherRegistry -- unregister +# PythonTypeHandlerRegistry -- unregister # =================================================================== -class TestPythonTypeSemanticHasherRegistryUnregister: +class TestPythonTypeHandlerRegistryUnregister: """unregister() removes handler.""" - def test_unregister_existing(self, registry: PythonTypeSemanticHasherRegistry) -> None: + def test_unregister_existing(self, registry: PythonTypeHandlerRegistry) -> None: handler = _FakeHandler() registry.register(int, handler) result = registry.unregister(int) assert result is True assert registry.get_semantic_hasher(42) is None - def test_unregister_nonexistent(self, registry: PythonTypeSemanticHasherRegistry) -> None: + def test_unregister_nonexistent(self, registry: PythonTypeHandlerRegistry) -> None: result = registry.unregister(float) assert result is False # =================================================================== -# PythonTypeSemanticHasherRegistry -- has_semantic_hasher +# PythonTypeHandlerRegistry -- has_semantic_hasher # =================================================================== -class TestPythonTypeSemanticHasherRegistryHasSemanticHasher: +class TestPythonTypeHandlerRegistryHasSemanticHasher: """has_semantic_hasher() boolean check.""" - def test_has_semantic_hasher_true(self, registry: PythonTypeSemanticHasherRegistry) -> None: + def test_has_semantic_hasher_true(self, registry: PythonTypeHandlerRegistry) -> None: registry.register(int, _FakeHandler()) assert registry.has_semantic_hasher(int) is True - def test_has_semantic_hasher_false(self, registry: PythonTypeSemanticHasherRegistry) -> None: + def test_has_semantic_hasher_false(self, registry: PythonTypeHandlerRegistry) -> None: assert registry.has_semantic_hasher(str) is False - def test_has_semantic_hasher_via_mro(self, registry: PythonTypeSemanticHasherRegistry) -> None: + def test_has_semantic_hasher_via_mro(self, registry: PythonTypeHandlerRegistry) -> None: class Base: pass @@ -374,17 +374,17 @@ class Child(Base): # =================================================================== -# PythonTypeSemanticHasherRegistry -- registered_types +# PythonTypeHandlerRegistry -- registered_types # =================================================================== -class TestPythonTypeSemanticHasherRegistryRegisteredTypes: +class TestPythonTypeHandlerRegistryRegisteredTypes: """registered_types() lists types.""" - def test_registered_types_empty(self, registry: PythonTypeSemanticHasherRegistry) -> None: + def test_registered_types_empty(self, registry: PythonTypeHandlerRegistry) -> None: assert registry.registered_types() == [] - def test_registered_types_populated(self, registry: PythonTypeSemanticHasherRegistry) -> None: + def test_registered_types_populated(self, registry: PythonTypeHandlerRegistry) -> None: registry.register(int, _FakeHandler()) registry.register(str, _FakeHandler()) types = registry.registered_types() @@ -392,14 +392,14 @@ def test_registered_types_populated(self, registry: PythonTypeSemanticHasherRegi # =================================================================== -# PythonTypeSemanticHasherRegistry -- thread safety +# PythonTypeHandlerRegistry -- thread safety # =================================================================== -class TestPythonTypeSemanticHasherRegistryThreadSafety: +class TestPythonTypeHandlerRegistryThreadSafety: """Concurrent register/lookup doesn't crash.""" - def test_concurrent_register_lookup(self, registry: PythonTypeSemanticHasherRegistry) -> None: + def test_concurrent_register_lookup(self, registry: PythonTypeHandlerRegistry) -> None: errors: list[Exception] = [] def register_types(start: int, count: int) -> None: @@ -435,13 +435,13 @@ def lookup_types() -> None: # =================================================================== -# BuiltinPythonTypeSemanticHasherRegistry +# BuiltinPythonTypeHandlerRegistry # =================================================================== -class TestBuiltinPythonTypeSemanticHasherRegistry: - """BuiltinPythonTypeSemanticHasherRegistry is pre-populated with built-in handlers.""" +class TestBuiltinPythonTypeHandlerRegistry: + """BuiltinPythonTypeHandlerRegistry is pre-populated with built-in handlers.""" def test_construction(self) -> None: - reg = BuiltinPythonTypeSemanticHasherRegistry() + reg = BuiltinPythonTypeHandlerRegistry() assert len(reg.registered_types()) > 0 diff --git a/tests/test_hashing/test_extension_type_hashing.py b/tests/test_hashing/test_extension_type_hashing.py index 56a8d822..4cace31f 100644 --- a/tests/test_hashing/test_extension_type_hashing.py +++ b/tests/test_hashing/test_extension_type_hashing.py @@ -125,14 +125,14 @@ def test_null_value_passthrough(self, ctx): def test_unregistered_python_type_passes_through(self, ctx): """Extension types with no registered semantic hasher pass through unchanged.""" import uuid - from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeSemanticHasherRegistry + from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeHandlerRegistry from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher # Build a hasher with a registry that has NO entry for UUID - empty_registry = PythonTypeSemanticHasherRegistry() + empty_registry = PythonTypeHandlerRegistry() stripped_hasher = SemanticAwarePythonHasher( hasher_id="test_v0", - type_semantic_hasher_registry=empty_registry, + type_handler_registry=empty_registry, ) arrow_type = ctx.type_converter.register_python_class(uuid.UUID) diff --git a/tests/test_hashing/test_semantic_hasher.py b/tests/test_hashing/test_semantic_hasher.py index 5b3b04a2..bb1f8c12 100644 --- a/tests/test_hashing/test_semantic_hasher.py +++ b/tests/test_hashing/test_semantic_hasher.py @@ -5,13 +5,13 @@ - SemanticAwarePythonHasher: primitives, container type-tagging, determinism, circular references, strict vs non-strict mode - ContentIdentifiableProtocol protocol: independent hashing, composability - - PythonTypeSemanticHasherRegistry: registration, MRO-aware lookup, unregister + - PythonTypeHandlerRegistry: registration, MRO-aware lookup, unregister - Built-in hashers: bytes, UUID, Path, functions, type objects - ContentHash as terminal: returned as-is without re-hashing - ContentIdentifiableMixin: content_hash, __eq__, __hash__, caching, cache invalidation, injectable hasher - Custom type hasher registration and extension - - get_default_semantic_hasher / get_default_python_type_semantic_hasher_registry + - get_default_semantic_hasher / get_default_python_type_handler_registry """ from __future__ import annotations @@ -28,7 +28,7 @@ from orcapod.hashing.defaults import get_default_semantic_hasher from orcapod.hashing.semantic_hashing.builtin_handlers import ( - register_builtin_python_type_semantic_hashers, + register_builtin_python_type_handlers, ) from orcapod.hashing.semantic_hashing.content_identifiable_mixin import ( ContentIdentifiableMixin, @@ -38,8 +38,8 @@ _is_namedtuple, ) from orcapod.hashing.semantic_hashing.type_handler_registry import ( - PythonTypeSemanticHasherRegistry, - get_default_python_type_semantic_hasher_registry, + PythonTypeHandlerRegistry, + get_default_python_type_handler_registry, ) from orcapod.types import ContentHash @@ -50,10 +50,10 @@ def make_hasher(strict: bool = True) -> SemanticAwarePythonHasher: """Create a fresh SemanticAwarePythonHasher with an isolated registry.""" - registry = PythonTypeSemanticHasherRegistry() - register_builtin_python_type_semantic_hashers(registry) + registry = PythonTypeHandlerRegistry() + register_builtin_python_type_handlers(registry) return SemanticAwarePythonHasher( - hasher_id="test_v1", type_semantic_hasher_registry=registry, strict=strict + hasher_id="test_v1", type_handler_registry=registry, strict=strict ) @@ -822,7 +822,7 @@ def test_repr_includes_hash(self, hasher): # --------------------------------------------------------------------------- -# 14. PythonTypeSemanticHasherRegistry +# 14. PythonTypeHandlerRegistry # --------------------------------------------------------------------------- @@ -847,27 +847,27 @@ class GrandChild(Child): pass -class TestPythonTypeSemanticHasherRegistry: +class TestPythonTypeHandlerRegistry: def test_register_and_get_exact(self): - reg = PythonTypeSemanticHasherRegistry() + reg = PythonTypeHandlerRegistry() h = _DummySemanticHasher("base") reg.register(Base, h) assert reg.get_semantic_hasher(Base()) is h def test_mro_lookup_child(self): - reg = PythonTypeSemanticHasherRegistry() + reg = PythonTypeHandlerRegistry() h = _DummySemanticHasher("base") reg.register(Base, h) assert reg.get_semantic_hasher(Child()) is h def test_mro_lookup_grandchild(self): - reg = PythonTypeSemanticHasherRegistry() + reg = PythonTypeHandlerRegistry() h = _DummySemanticHasher("base") reg.register(Base, h) assert reg.get_semantic_hasher(GrandChild()) is h def test_more_specific_handler_wins(self): - reg = PythonTypeSemanticHasherRegistry() + reg = PythonTypeHandlerRegistry() h_base = _DummySemanticHasher("base") h_child = _DummySemanticHasher("child") reg.register(Base, h_base) @@ -876,22 +876,22 @@ def test_more_specific_handler_wins(self): assert reg.get_semantic_hasher(GrandChild()) is h_child def test_unregistered_returns_none(self): - reg = PythonTypeSemanticHasherRegistry() + reg = PythonTypeHandlerRegistry() assert reg.get_semantic_hasher(Base()) is None def test_unregister_removes_handler(self): - reg = PythonTypeSemanticHasherRegistry() + reg = PythonTypeHandlerRegistry() h = _DummySemanticHasher("base") reg.register(Base, h) assert reg.unregister(Base) is True assert reg.get_semantic_hasher(Base()) is None def test_unregister_nonexistent_returns_false(self): - reg = PythonTypeSemanticHasherRegistry() + reg = PythonTypeHandlerRegistry() assert reg.unregister(Base) is False def test_replace_existing_handler(self): - reg = PythonTypeSemanticHasherRegistry() + reg = PythonTypeHandlerRegistry() h1 = _DummySemanticHasher("first") h2 = _DummySemanticHasher("second") reg.register(Base, h1) @@ -899,26 +899,26 @@ def test_replace_existing_handler(self): assert reg.get_semantic_hasher(Base()) is h2 def test_register_non_type_raises(self): - reg = PythonTypeSemanticHasherRegistry() + reg = PythonTypeHandlerRegistry() with pytest.raises(TypeError): reg.register("not_a_type", _DummySemanticHasher("x")) # type: ignore[arg-type] def test_has_handler_exact(self): - reg = PythonTypeSemanticHasherRegistry() + reg = PythonTypeHandlerRegistry() reg.register(Base, _DummySemanticHasher("b")) assert reg.has_semantic_hasher(Base) is True def test_has_handler_via_mro(self): - reg = PythonTypeSemanticHasherRegistry() + reg = PythonTypeHandlerRegistry() reg.register(Base, _DummySemanticHasher("b")) assert reg.has_semantic_hasher(Child) is True def test_has_handler_false(self): - reg = PythonTypeSemanticHasherRegistry() + reg = PythonTypeHandlerRegistry() assert reg.has_semantic_hasher(Base) is False def test_registered_types_snapshot(self): - reg = PythonTypeSemanticHasherRegistry() + reg = PythonTypeHandlerRegistry() reg.register(Base, _DummySemanticHasher("b")) reg.register(Child, _DummySemanticHasher("c")) types = reg.registered_types() @@ -926,7 +926,7 @@ def test_registered_types_snapshot(self): assert Child in types def test_len(self): - reg = PythonTypeSemanticHasherRegistry() + reg = PythonTypeHandlerRegistry() assert len(reg) == 0 reg.register(Base, _DummySemanticHasher("b")) assert len(reg) == 1 @@ -934,7 +934,7 @@ def test_len(self): assert len(reg) == 2 def test_get_handler_for_type(self): - reg = PythonTypeSemanticHasherRegistry() + reg = PythonTypeHandlerRegistry() h = _DummySemanticHasher("b") reg.register(Base, h) assert reg.get_semantic_hasher_for_type(Base) is h @@ -959,31 +959,31 @@ def handle(self, obj: Any, hasher: Any) -> Any: class TestCustomHandlerRegistration: def test_register_custom_type(self): - registry = PythonTypeSemanticHasherRegistry() - register_builtin_python_type_semantic_hashers(registry) + registry = PythonTypeHandlerRegistry() + register_builtin_python_type_handlers(registry) registry.register(Celsius, CelsiusHandler()) custom_hasher = SemanticAwarePythonHasher( - hasher_id="custom_v1", type_semantic_hasher_registry=registry, strict=True + hasher_id="custom_v1", type_handler_registry=registry, strict=True ) assert isinstance(custom_hasher.hash_object(Celsius(100.0)), ContentHash) def test_custom_handler_determinism(self): - registry = PythonTypeSemanticHasherRegistry() - register_builtin_python_type_semantic_hashers(registry) + registry = PythonTypeHandlerRegistry() + register_builtin_python_type_handlers(registry) registry.register(Celsius, CelsiusHandler()) custom_hasher = SemanticAwarePythonHasher( - hasher_id="custom_v1", type_semantic_hasher_registry=registry + hasher_id="custom_v1", type_handler_registry=registry ) h1 = custom_hasher.hash_object(Celsius(37.5)) h2 = custom_hasher.hash_object(Celsius(37.5)) assert h1 == h2 def test_custom_handler_different_values_differ(self): - registry = PythonTypeSemanticHasherRegistry() - register_builtin_python_type_semantic_hashers(registry) + registry = PythonTypeHandlerRegistry() + register_builtin_python_type_handlers(registry) registry.register(Celsius, CelsiusHandler()) custom_hasher = SemanticAwarePythonHasher( - hasher_id="custom_v1", type_semantic_hasher_registry=registry + hasher_id="custom_v1", type_handler_registry=registry ) assert custom_hasher.hash_object(Celsius(0.0)) != custom_hasher.hash_object( Celsius(100.0) @@ -995,11 +995,11 @@ def test_unregistered_type_still_strict(self): hasher.hash_object(Celsius(42.0)) def test_custom_handler_in_nested_structure(self): - registry = PythonTypeSemanticHasherRegistry() - register_builtin_python_type_semantic_hashers(registry) + registry = PythonTypeHandlerRegistry() + register_builtin_python_type_handlers(registry) registry.register(Celsius, CelsiusHandler()) custom_hasher = SemanticAwarePythonHasher( - hasher_id="custom_v1", type_semantic_hasher_registry=registry + hasher_id="custom_v1", type_handler_registry=registry ) h = custom_hasher.hash_object({"temp": Celsius(36.6), "unit": "C"}) assert isinstance(h, ContentHash) @@ -1011,11 +1011,11 @@ class DirectHashHandler: def handle(self, obj: Any, hasher: Any) -> ContentHash: return ContentHash("direct", b"\xaa" * 32) - registry = PythonTypeSemanticHasherRegistry() - register_builtin_python_type_semantic_hashers(registry) + registry = PythonTypeHandlerRegistry() + register_builtin_python_type_handlers(registry) registry.register(Celsius, DirectHashHandler()) custom_hasher = SemanticAwarePythonHasher( - hasher_id="custom_v1", type_semantic_hasher_registry=registry + hasher_id="custom_v1", type_handler_registry=registry ) result = custom_hasher.hash_object(Celsius(0.0)) # The ContentHash returned by the handler should come back as-is @@ -1025,11 +1025,11 @@ def test_mro_aware_custom_handler(self): class FancyCelsius(Celsius): pass - registry = PythonTypeSemanticHasherRegistry() - register_builtin_python_type_semantic_hashers(registry) + registry = PythonTypeHandlerRegistry() + register_builtin_python_type_handlers(registry) registry.register(Celsius, CelsiusHandler()) custom_hasher = SemanticAwarePythonHasher( - hasher_id="custom_v1", type_semantic_hasher_registry=registry + hasher_id="custom_v1", type_handler_registry=registry ) h = custom_hasher.hash_object(FancyCelsius(20.0)) assert isinstance(h, ContentHash) @@ -1045,7 +1045,7 @@ class KelvinHandler: def handle(self, obj: Any, hasher: Any) -> Any: return {"__type__": "Kelvin", "k": obj.k} - global_registry = get_default_python_type_semantic_hasher_registry() + global_registry = get_default_python_type_handler_registry() global_registry.register(Kelvin, KelvinHandler()) try: default_hasher = get_default_semantic_hasher() @@ -1067,8 +1067,8 @@ def test_get_default_semantic_hasher_has_versioned_id(self): assert get_default_semantic_hasher().hasher_id == "semantic_v0.1" def test_get_default_type_handler_registry_is_singleton(self): - r1 = get_default_python_type_semantic_hasher_registry() - r2 = get_default_python_type_semantic_hasher_registry() + r1 = get_default_python_type_handler_registry() + r2 = get_default_python_type_handler_registry() assert r1 is r2 def test_default_registry_has_builtin_handlers(self): @@ -1076,7 +1076,7 @@ def test_default_registry_has_builtin_handlers(self): import typing as _typing - reg = get_default_python_type_semantic_hasher_registry() + reg = get_default_python_type_handler_registry() assert reg.has_semantic_hasher(bytes) assert reg.has_semantic_hasher(bytearray) assert reg.has_semantic_hasher(UUID) @@ -1090,7 +1090,7 @@ def test_default_registry_has_builtin_handlers(self): def test_default_registry_has_no_content_hash_handler(self): """ContentHash is handled as a terminal -- no registry entry needed.""" - reg = get_default_python_type_semantic_hasher_registry() + reg = get_default_python_type_handler_registry() assert not reg.has_semantic_hasher(ContentHash) def test_default_hasher_can_hash_common_types(self): diff --git a/tests/test_hashing/test_uuid_handler.py b/tests/test_hashing/test_uuid_handler.py index 3e6fe1f8..b9e57cd9 100644 --- a/tests/test_hashing/test_uuid_handler.py +++ b/tests/test_hashing/test_uuid_handler.py @@ -1,6 +1,6 @@ -"""Tests for UUIDSemanticHasher hash() method behaviour. +"""Tests for UUIDHandler hash() method behaviour. -Verifies that UUIDSemanticHasher produces a ContentHash based on the 16-byte +Verifies that UUIDHandler produces a ContentHash based on the 16-byte binary representation of a UUID, consistent with OrcaPod's canonical ``pa.binary(16)`` Arrow storage format. """ @@ -15,21 +15,21 @@ def _make_hasher() -> SemanticAwarePythonHasher: from orcapod.hashing.semantic_hashing.builtin_handlers import ( - register_builtin_python_type_semantic_hashers, + register_builtin_python_type_handlers, ) from orcapod.hashing.semantic_hashing.type_handler_registry import ( - PythonTypeSemanticHasherRegistry, + PythonTypeHandlerRegistry, ) - registry = PythonTypeSemanticHasherRegistry() - register_builtin_python_type_semantic_hashers(registry) + registry = PythonTypeHandlerRegistry() + register_builtin_python_type_handlers(registry) return SemanticAwarePythonHasher( - hasher_id="test_v1", type_semantic_hasher_registry=registry, strict=True + hasher_id="test_v1", type_handler_registry=registry, strict=True ) def test_uuid_handler_returns_content_hash(): - """UUIDSemanticHasher should return a ContentHash for a UUID.""" + """UUIDHandler should return a ContentHash for a UUID.""" hasher = _make_hasher() u = _uuid.UUID("550e8400-e29b-41d4-a716-446655440000") result = hasher.hash_object(u) From 395e68e5f92ca7839701f412450ed71b08168aec Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Wed, 24 Jun 2026 23:17:55 +0000 Subject: [PATCH 199/206] =?UTF-8?q?docs(test=5Fhashing):=20update=20stale?= =?UTF-8?q?=20BaseSemanticHasher=20=E2=86=92=20SemanticAwarePythonHasher?= =?UTF-8?q?=20in=20comments?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- tests/test_hashing/generate_hash_examples.py | 5 ++--- tests/test_hashing/test_hash_samples.py | 2 +- 2 files changed, 3 insertions(+), 4 deletions(-) diff --git a/tests/test_hashing/generate_hash_examples.py b/tests/test_hashing/generate_hash_examples.py index 5edbef3f..f9e58e7f 100644 --- a/tests/test_hashing/generate_hash_examples.py +++ b/tests/test_hashing/generate_hash_examples.py @@ -3,8 +3,7 @@ # throughout the tests to ensure consistent hashing behavior across different runs # and revisions of the codebase. # -# Uses the new BaseSemanticHasher API (get_default_semantic_hasher) rather than -# the legacy hash_to_hex / hash_to_int / hash_to_uuid functions. +# Uses SemanticAwarePythonHasher via get_default_semantic_hasher. import json from collections import OrderedDict @@ -27,7 +26,7 @@ def generate_hash_examples(): - """Generate hash examples for various data structures using BaseSemanticHasher.""" + """Generate hash examples for various data structures using ``SemanticAwarePythonHasher``.""" hasher = get_default_semantic_hasher() examples = [] diff --git a/tests/test_hashing/test_hash_samples.py b/tests/test_hashing/test_hash_samples.py index 4caff744..b255f818 100644 --- a/tests/test_hashing/test_hash_samples.py +++ b/tests/test_hashing/test_hash_samples.py @@ -1,7 +1,7 @@ """ Tests for hash samples consistency. -Verifies that BaseSemanticHasher produces identical hashes across runs for a +Verifies that SemanticAwarePythonHasher produces identical hashes across runs for a fixed set of recorded input values. The sample file is generated (or regenerated) by running generate_hash_examples.py. From e7b70cd7ca5bcd845447f1d292636f0190415b96 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 25 Jun 2026 00:03:25 +0000 Subject: [PATCH 200/206] =?UTF-8?q?fix(context):=20rename=20function=5Finf?= =?UTF-8?q?o=5Fextractor=20=E2=86=92=20function=5Fsemantic=5Fhasher=20in?= =?UTF-8?q?=20v0.1=20config?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- src/orcapod/contexts/data/schemas/context_schema.json | 4 ++-- src/orcapod/contexts/data/v0.1.json | 8 ++++---- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/src/orcapod/contexts/data/schemas/context_schema.json b/src/orcapod/contexts/data/schemas/context_schema.json index 73f07dd4..366ce12f 100644 --- a/src/orcapod/contexts/data/schemas/context_schema.json +++ b/src/orcapod/contexts/data/schemas/context_schema.json @@ -61,9 +61,9 @@ "$ref": "#/$defs/objectspec", "description": "ObjectSpec for the file content hasher (used by PathHandler)" }, - "function_info_extractor": { + "function_semantic_hasher": { "$ref": "#/$defs/objectspec", - "description": "ObjectSpec for the function info extractor (used by FunctionHandler)" + "description": "ObjectSpec for the function semantic hasher (used by FunctionHandler)" }, "metadata": { "type": "object", diff --git a/src/orcapod/contexts/data/v0.1.json b/src/orcapod/contexts/data/v0.1.json index 07e8e686..75da5243 100644 --- a/src/orcapod/contexts/data/v0.1.json +++ b/src/orcapod/contexts/data/v0.1.json @@ -50,7 +50,7 @@ } } }, - "function_info_extractor": { + "function_semantic_hasher": { "_class": "orcapod.hashing.semantic_hashing.function_info_extractors.FunctionSignatureExtractor", "_config": { "include_module": true, @@ -66,9 +66,9 @@ [{"_type": "pathlib.Path"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.PathHandler", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], [{"_type": "upath.core.UPath"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UPathHandler", "_config": {"file_hasher": {"_ref": "file_hasher"}}}], [{"_type": "uuid.UUID"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UUIDHandler", "_config": {}}], - [{"_type": "types.FunctionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionHandler", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], - [{"_type": "types.BuiltinFunctionType"},{"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionHandler", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], - [{"_type": "types.MethodType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionHandler", "_config": {"function_info_extractor": {"_ref": "function_info_extractor"}}}], + [{"_type": "types.FunctionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionHandler", "_config": {"function_info_extractor": {"_ref": "function_semantic_hasher"}}}], + [{"_type": "types.BuiltinFunctionType"},{"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionHandler", "_config": {"function_info_extractor": {"_ref": "function_semantic_hasher"}}}], + [{"_type": "types.MethodType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.FunctionHandler", "_config": {"function_info_extractor": {"_ref": "function_semantic_hasher"}}}], [{"_type": "builtins.type"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.TypeObjectHandler", "_config": {}}], [{"_type": "types.GenericAlias"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.GenericAliasHandler", "_config": {}}], [{"_type": "types.UnionType"}, {"_class": "orcapod.hashing.semantic_hashing.builtin_handlers.UnionTypeHandler", "_config": {}}], From 9bc08bf9248c134fc1f3355b4a3026c9e2e473d3 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 25 Jun 2026 00:32:44 +0000 Subject: [PATCH 201/206] refactor(hashing): rename registry methods, add HandlerRegistryProtocol, decouple type annotations MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - PythonTypeHandlerRegistry: rename get_semantic_hasher → get_handler, get_semantic_hasher_for_type → get_handler_for_type, has_semantic_hasher → has_handler; update all call sites - hashing_protocols: add HandlerRegistryProtocol abstracting over the concrete registry; SemanticHasherProtocol.type_handler_registry now returns HandlerRegistryProtocol instead of PythonTypeHandlerRegistry; PythonTypeHandler.handle() now uses SemanticHasherProtocol instead of the concrete SemanticAwarePythonHasher; remove concrete-class imports from TYPE_CHECKING block - versioned_hashers: type type_handler_registry param as HandlerRegistryProtocol | None instead of Any | None; drop unused Any import - Update test_hashing.py and test_semantic_hasher.py for renamed methods Co-Authored-By: Claude Sonnet 4.6 --- .../semantic_hashing/semantic_hasher.py | 10 ++-- .../semantic_hashing/type_handler_registry.py | 16 +++--- src/orcapod/hashing/versioned_hashers.py | 3 +- src/orcapod/hashing/visitors.py | 2 +- src/orcapod/protocols/hashing_protocols.py | 38 ++++++++++---- test-objective/unit/test_hashing.py | 42 ++++++++-------- tests/test_hashing/test_semantic_hasher.py | 50 +++++++++---------- 7 files changed, 89 insertions(+), 72 deletions(-) diff --git a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py index a77b2750..ad895fdb 100644 --- a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py +++ b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py @@ -180,14 +180,14 @@ def hash_object( # Semantic hasher dispatch: handler returns a representative Python structure # (or a ContentHash as terminal); feed the result back into hash_object so # that returning a plain structure is equivalent to calling hash_object on it. - semantic_hasher = self._registry.get_semantic_hasher(obj) - if semantic_hasher is not None: + handler = self._registry.get_handler(obj) + if handler is not None: logger.debug( - "hash_object: dispatching %s to semantic hasher %s", + "hash_object: dispatching %s to handler %s", type(obj).__name__, - type(semantic_hasher).__name__, + type(handler).__name__, ) - result = semantic_hasher.handle(obj, self) + result = handler.handle(obj, self) return self.hash_object(result, resolver=resolver) # ContentIdentifiableProtocol: use resolver if provided, else content_hash(). diff --git a/src/orcapod/hashing/semantic_hashing/type_handler_registry.py b/src/orcapod/hashing/semantic_hashing/type_handler_registry.py index 1fcc46b9..84614dbd 100644 --- a/src/orcapod/hashing/semantic_hashing/type_handler_registry.py +++ b/src/orcapod/hashing/semantic_hashing/type_handler_registry.py @@ -90,11 +90,11 @@ def unregister(self, target_type: type) -> bool: return True return False - def get_semantic_hasher(self, obj: Any) -> "PythonTypeHandler | None": - """Look up the hasher for *obj* using MRO-aware resolution. + def get_handler(self, obj: Any) -> "PythonTypeHandler | None": + """Look up the handler for *obj* using MRO-aware resolution. Args: - obj: The object for which a hasher is needed. + obj: The object for which a handler is needed. Returns: The registered ``PythonTypeHandler``, or None. @@ -115,10 +115,10 @@ def get_semantic_hasher(self, obj: Any) -> "PythonTypeHandler | None": return handler return None - def get_semantic_hasher_for_type( + def get_handler_for_type( self, target_type: type ) -> "PythonTypeHandler | None": - """Look up the hasher for a *type object* (rather than an instance). + """Look up the handler for a *type object* (rather than an instance). Args: target_type: The type to look up. @@ -136,13 +136,13 @@ def get_semantic_hasher_for_type( return handler return None - def has_semantic_hasher(self, target_type: type) -> bool: - """Return True if a hasher is registered for *target_type* or any MRO ancestor. + def has_handler(self, target_type: type) -> bool: + """Return True if a handler is registered for *target_type* or any MRO ancestor. Args: target_type: The type to check. """ - return self.get_semantic_hasher_for_type(target_type) is not None + return self.get_handler_for_type(target_type) is not None def registered_types(self) -> list[type]: """Return a list of all directly-registered types (no MRO expansion).""" diff --git a/src/orcapod/hashing/versioned_hashers.py b/src/orcapod/hashing/versioned_hashers.py index 428e065b..33b5a7da 100644 --- a/src/orcapod/hashing/versioned_hashers.py +++ b/src/orcapod/hashing/versioned_hashers.py @@ -21,7 +21,6 @@ from __future__ import annotations import logging -from typing import Any from orcapod.protocols import hashing_protocols as hp @@ -49,7 +48,7 @@ def get_versioned_semantic_hasher( hasher_id: str = _CURRENT_SEMANTIC_HASHER_ID, strict: bool = True, - type_handler_registry: "Any | None" = None, + type_handler_registry: "hp.HandlerRegistryProtocol | None" = None, ) -> hp.SemanticHasherProtocol: """Return a SemanticAwarePythonHasher configured for the current version. diff --git a/src/orcapod/hashing/visitors.py b/src/orcapod/hashing/visitors.py index feeab8d6..a84be1c9 100644 --- a/src/orcapod/hashing/visitors.py +++ b/src/orcapod/hashing/visitors.py @@ -210,7 +210,7 @@ def visit_extension( return extension_type, storage_value # Only hash if a semantic hasher is registered for this Python type. - if not self._python_hasher.type_handler_registry.has_semantic_hasher( + if not self._python_hasher.type_handler_registry.has_handler( python_type ): return extension_type, storage_value diff --git a/src/orcapod/protocols/hashing_protocols.py b/src/orcapod/protocols/hashing_protocols.py index 33469fc9..119f8b3f 100644 --- a/src/orcapod/protocols/hashing_protocols.py +++ b/src/orcapod/protocols/hashing_protocols.py @@ -9,8 +9,6 @@ if TYPE_CHECKING: import pyarrow as pa - from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeHandlerRegistry - from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher @runtime_checkable @@ -53,27 +51,27 @@ class PythonTypeHandler(Protocol): """Protocol for type-specific semantic hashers used by SemanticAwarePythonHasher. A ``PythonTypeHandler`` converts a specific Python type into a - representative Python structure that ``SemanticAwarePythonHasher.hash_object()`` + representative Python structure that ``SemanticHasherProtocol.hash_object()`` can then hash. Implementations are registered with a - ``PythonTypeHandlerRegistry`` and looked up via MRO-aware resolution. + ``HandlerRegistryProtocol`` and looked up via MRO-aware resolution. - Each implementation receives the full ``SemanticAwarePythonHasher`` so it can + Each implementation receives the full ``SemanticHasherProtocol`` so it can delegate hashing of sub-values back to the outer hasher without coupling to a specific hasher instance. """ - def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: """Return a representative Python structure for *obj*. The returned value is passed back into - ``SemanticAwarePythonHasher.hash_object()`` for final hashing. Returning + ``SemanticHasherProtocol.hash_object()`` for final hashing. Returning a ``ContentHash`` short-circuits the process: the caller returns it as-is without re-hashing. This is useful for handlers that compute content-based hashes from external data (e.g. file content, Arrow tables). Args: obj: The object to hash. Always matches the registered type. - hasher: The active ``SemanticAwarePythonHasher``. Use + hasher: The active ``SemanticHasherProtocol``. Use ``hasher.hash_object(sub_value)`` to hash sub-values that require type-specific treatment. @@ -85,6 +83,26 @@ def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: ... +class HandlerRegistryProtocol(Protocol): + """Protocol for type handler registries used by ``SemanticHasherProtocol``. + + Abstracts over ``PythonTypeHandlerRegistry`` so that ``SemanticHasherProtocol`` + and its consumers do not depend on the concrete registry class. + """ + + def get_handler(self, obj: Any) -> "PythonTypeHandler | None": + """Look up the handler for *obj* using MRO-aware resolution.""" + ... + + def get_handler_for_type(self, target_type: type) -> "PythonTypeHandler | None": + """Look up the handler for a type object (rather than an instance).""" + ... + + def has_handler(self, target_type: type) -> bool: + """Return True if a handler is registered for *target_type* or any MRO ancestor.""" + ... + + class SemanticHasherProtocol(Protocol): """Protocol for the semantic content-based hasher.""" @@ -102,8 +120,8 @@ def hasher_id(self) -> str: ... @property - def type_handler_registry(self) -> "PythonTypeHandlerRegistry": - """Return the PythonTypeHandlerRegistry used by this hasher.""" + def type_handler_registry(self) -> HandlerRegistryProtocol: + """Return the handler registry used by this hasher.""" ... diff --git a/test-objective/unit/test_hashing.py b/test-objective/unit/test_hashing.py index 0ef408f4..e82083a3 100644 --- a/test-objective/unit/test_hashing.py +++ b/test-objective/unit/test_hashing.py @@ -271,22 +271,22 @@ def test_true_vs_one(self, hasher: SemanticAwarePythonHasher) -> None: # =================================================================== -# PythonTypeHandlerRegistry -- register/get_semantic_hasher roundtrip +# PythonTypeHandlerRegistry -- register/get_handler roundtrip # =================================================================== class TestPythonTypeHandlerRegistryBasics: - """register() + get_semantic_hasher() roundtrip.""" + """register() + get_handler() roundtrip.""" - def test_register_and_get_semantic_hasher(self, registry: PythonTypeHandlerRegistry) -> None: + def test_register_and_get_handler(self, registry: PythonTypeHandlerRegistry) -> None: handler = _FakeHandler() registry.register(int, handler) - assert registry.get_semantic_hasher(42) is handler + assert registry.get_handler(42) is handler - def test_get_semantic_hasher_returns_none_for_unregistered( + def test_get_handler_returns_none_for_unregistered( self, registry: PythonTypeHandlerRegistry ) -> None: - assert registry.get_semantic_hasher("hello") is None + assert registry.get_handler("hello") is None # =================================================================== @@ -308,7 +308,7 @@ class Child(Base): handler = _FakeHandler() registry.register(Base, handler) - assert registry.get_semantic_hasher(Child()) is handler + assert registry.get_handler(Child()) is handler def test_specific_handler_overrides_parent( self, registry: PythonTypeHandlerRegistry @@ -323,8 +323,8 @@ class Child(Base): child_handler = _FakeHandler("child") registry.register(Base, parent_handler) registry.register(Child, child_handler) - assert registry.get_semantic_hasher(Child()) is child_handler - assert registry.get_semantic_hasher(Base()) is parent_handler + assert registry.get_handler(Child()) is child_handler + assert registry.get_handler(Base()) is parent_handler # =================================================================== @@ -340,7 +340,7 @@ def test_unregister_existing(self, registry: PythonTypeHandlerRegistry) -> None: registry.register(int, handler) result = registry.unregister(int) assert result is True - assert registry.get_semantic_hasher(42) is None + assert registry.get_handler(42) is None def test_unregister_nonexistent(self, registry: PythonTypeHandlerRegistry) -> None: result = registry.unregister(float) @@ -348,21 +348,21 @@ def test_unregister_nonexistent(self, registry: PythonTypeHandlerRegistry) -> No # =================================================================== -# PythonTypeHandlerRegistry -- has_semantic_hasher +# PythonTypeHandlerRegistry -- has_handler # =================================================================== -class TestPythonTypeHandlerRegistryHasSemanticHasher: - """has_semantic_hasher() boolean check.""" +class TestPythonTypeHandlerRegistryHasHandler: + """has_handler() boolean check.""" - def test_has_semantic_hasher_true(self, registry: PythonTypeHandlerRegistry) -> None: + def test_has_handler_true(self, registry: PythonTypeHandlerRegistry) -> None: registry.register(int, _FakeHandler()) - assert registry.has_semantic_hasher(int) is True + assert registry.has_handler(int) is True - def test_has_semantic_hasher_false(self, registry: PythonTypeHandlerRegistry) -> None: - assert registry.has_semantic_hasher(str) is False + def test_has_handler_false(self, registry: PythonTypeHandlerRegistry) -> None: + assert registry.has_handler(str) is False - def test_has_semantic_hasher_via_mro(self, registry: PythonTypeHandlerRegistry) -> None: + def test_has_handler_via_mro(self, registry: PythonTypeHandlerRegistry) -> None: class Base: pass @@ -370,7 +370,7 @@ class Child(Base): pass registry.register(Base, _FakeHandler()) - assert registry.has_semantic_hasher(Child) is True + assert registry.has_handler(Child) is True # =================================================================== @@ -413,9 +413,9 @@ def register_types(start: int, count: int) -> None: def lookup_types() -> None: try: for _ in range(100): - registry.get_semantic_hasher(42) + registry.get_handler(42) registry.registered_types() - registry.has_semantic_hasher(int) + registry.has_handler(int) except Exception as exc: errors.append(exc) diff --git a/tests/test_hashing/test_semantic_hasher.py b/tests/test_hashing/test_semantic_hasher.py index bb1f8c12..dc074fcb 100644 --- a/tests/test_hashing/test_semantic_hasher.py +++ b/tests/test_hashing/test_semantic_hasher.py @@ -852,19 +852,19 @@ def test_register_and_get_exact(self): reg = PythonTypeHandlerRegistry() h = _DummySemanticHasher("base") reg.register(Base, h) - assert reg.get_semantic_hasher(Base()) is h + assert reg.get_handler(Base()) is h def test_mro_lookup_child(self): reg = PythonTypeHandlerRegistry() h = _DummySemanticHasher("base") reg.register(Base, h) - assert reg.get_semantic_hasher(Child()) is h + assert reg.get_handler(Child()) is h def test_mro_lookup_grandchild(self): reg = PythonTypeHandlerRegistry() h = _DummySemanticHasher("base") reg.register(Base, h) - assert reg.get_semantic_hasher(GrandChild()) is h + assert reg.get_handler(GrandChild()) is h def test_more_specific_handler_wins(self): reg = PythonTypeHandlerRegistry() @@ -872,19 +872,19 @@ def test_more_specific_handler_wins(self): h_child = _DummySemanticHasher("child") reg.register(Base, h_base) reg.register(Child, h_child) - assert reg.get_semantic_hasher(Child()) is h_child - assert reg.get_semantic_hasher(GrandChild()) is h_child + assert reg.get_handler(Child()) is h_child + assert reg.get_handler(GrandChild()) is h_child def test_unregistered_returns_none(self): reg = PythonTypeHandlerRegistry() - assert reg.get_semantic_hasher(Base()) is None + assert reg.get_handler(Base()) is None def test_unregister_removes_handler(self): reg = PythonTypeHandlerRegistry() h = _DummySemanticHasher("base") reg.register(Base, h) assert reg.unregister(Base) is True - assert reg.get_semantic_hasher(Base()) is None + assert reg.get_handler(Base()) is None def test_unregister_nonexistent_returns_false(self): reg = PythonTypeHandlerRegistry() @@ -896,7 +896,7 @@ def test_replace_existing_handler(self): h2 = _DummySemanticHasher("second") reg.register(Base, h1) reg.register(Base, h2) - assert reg.get_semantic_hasher(Base()) is h2 + assert reg.get_handler(Base()) is h2 def test_register_non_type_raises(self): reg = PythonTypeHandlerRegistry() @@ -906,16 +906,16 @@ def test_register_non_type_raises(self): def test_has_handler_exact(self): reg = PythonTypeHandlerRegistry() reg.register(Base, _DummySemanticHasher("b")) - assert reg.has_semantic_hasher(Base) is True + assert reg.has_handler(Base) is True def test_has_handler_via_mro(self): reg = PythonTypeHandlerRegistry() reg.register(Base, _DummySemanticHasher("b")) - assert reg.has_semantic_hasher(Child) is True + assert reg.has_handler(Child) is True def test_has_handler_false(self): reg = PythonTypeHandlerRegistry() - assert reg.has_semantic_hasher(Base) is False + assert reg.has_handler(Base) is False def test_registered_types_snapshot(self): reg = PythonTypeHandlerRegistry() @@ -937,9 +937,9 @@ def test_get_handler_for_type(self): reg = PythonTypeHandlerRegistry() h = _DummySemanticHasher("b") reg.register(Base, h) - assert reg.get_semantic_hasher_for_type(Base) is h - assert reg.get_semantic_hasher_for_type(Child) is h # via MRO - assert reg.get_semantic_hasher_for_type(int) is None + assert reg.get_handler_for_type(Base) is h + assert reg.get_handler_for_type(Child) is h # via MRO + assert reg.get_handler_for_type(int) is None # --------------------------------------------------------------------------- @@ -1077,21 +1077,21 @@ def test_default_registry_has_builtin_handlers(self): import typing as _typing reg = get_default_python_type_handler_registry() - assert reg.has_semantic_hasher(bytes) - assert reg.has_semantic_hasher(bytearray) - assert reg.has_semantic_hasher(UUID) - assert reg.has_semantic_hasher(Path) - assert reg.has_semantic_hasher(_types.FunctionType) - assert reg.has_semantic_hasher(type) - assert reg.has_semantic_hasher(_types.GenericAlias) - assert reg.has_semantic_hasher(_types.UnionType) - assert reg.has_semantic_hasher(_typing._GenericAlias) # type: ignore[attr-defined] - assert reg.has_semantic_hasher(_typing._SpecialForm) # type: ignore[attr-defined] + assert reg.has_handler(bytes) + assert reg.has_handler(bytearray) + assert reg.has_handler(UUID) + assert reg.has_handler(Path) + assert reg.has_handler(_types.FunctionType) + assert reg.has_handler(type) + assert reg.has_handler(_types.GenericAlias) + assert reg.has_handler(_types.UnionType) + assert reg.has_handler(_typing._GenericAlias) # type: ignore[attr-defined] + assert reg.has_handler(_typing._SpecialForm) # type: ignore[attr-defined] def test_default_registry_has_no_content_hash_handler(self): """ContentHash is handled as a terminal -- no registry entry needed.""" reg = get_default_python_type_handler_registry() - assert not reg.has_semantic_hasher(ContentHash) + assert not reg.has_handler(ContentHash) def test_default_hasher_can_hash_common_types(self): h = get_default_semantic_hasher() From 78975d1707354c2276c5b2cf78bb9a1945fc2210 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 25 Jun 2026 00:55:26 +0000 Subject: [PATCH 202/206] refactor(hashing): enforce Protocol naming convention and decouple concrete types MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Rename PythonTypeHandler → PythonTypeHandlerProtocol everywhere: class definition in hashing_protocols.py, all type annotations in type_handler_registry.py, hashing/__init__.py export, and all docstring references across builtin_handlers.py and semantic_hashing/__init__.py - Rename CallableWithPod → CallableWithPodProtocol in function_pod.py - SemanticAwarePythonHasher.__init__ now accepts HandlerRegistryProtocol | None instead of PythonTypeHandlerRegistry | None; drop concrete-class import - SemanticAwarePythonHasher.type_handler_registry property now returns HandlerRegistryProtocol instead of PythonTypeHandlerRegistry - ContentIdentifiableMixin now imports and uses SemanticHasherProtocol instead of the concrete SemanticAwarePythonHasher for __init__ param and _get_hasher return type - Update strict-mode error messages to say "no implementation of PythonTypeHandlerProtocol registered"; update matching test assertions Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/core/function_pod.py | 8 +++--- src/orcapod/hashing/__init__.py | 6 ++--- .../hashing/semantic_hashing/__init__.py | 4 +-- .../semantic_hashing/builtin_handlers.py | 2 +- .../content_identifiable_mixin.py | 20 +++++++------- .../semantic_hashing/semantic_hasher.py | 26 +++++++++---------- .../semantic_hashing/type_handler_registry.py | 24 ++++++++--------- src/orcapod/protocols/hashing_protocols.py | 10 +++---- test-objective/unit/test_hashing.py | 4 +-- tests/test_hashing/test_semantic_hasher.py | 2 +- 10 files changed, 53 insertions(+), 53 deletions(-) diff --git a/src/orcapod/core/function_pod.py b/src/orcapod/core/function_pod.py index ac4dd854..be2fee48 100644 --- a/src/orcapod/core/function_pod.py +++ b/src/orcapod/core/function_pod.py @@ -656,7 +656,7 @@ def as_table( return output_table -class CallableWithPod(Protocol): +class CallableWithPodProtocol(Protocol): @property def pod(self) -> _FunctionPodBase: """Return the associated function pod.""" @@ -676,7 +676,7 @@ def function_pod( pod_cache_database: ArrowDatabaseProtocol | None = None, executor: DataFunctionExecutorProtocol | None = None, **kwargs, -) -> Callable[..., CallableWithPod]: +) -> Callable[..., CallableWithPodProtocol]: """Decorator that attaches a ``FunctionPod`` as a ``pod`` attribute. Args: @@ -696,7 +696,7 @@ def function_pod( A decorator that adds a ``pod`` attribute to the wrapped function. """ - def decorator(func: Callable) -> CallableWithPod: + def decorator(func: Callable) -> CallableWithPodProtocol: if func.__name__ == "": raise ValueError("Lambda functions cannot be used with function_pod") @@ -736,7 +736,7 @@ def wrapper(*args, **kwargs): return func(*args, **kwargs) setattr(wrapper, "pod", pod) - return cast(CallableWithPod, wrapper) + return cast(CallableWithPodProtocol, wrapper) return decorator diff --git a/src/orcapod/hashing/__init__.py b/src/orcapod/hashing/__init__.py index 658180a0..5c4ddc1f 100644 --- a/src/orcapod/hashing/__init__.py +++ b/src/orcapod/hashing/__init__.py @@ -5,7 +5,7 @@ ---------- SemanticAwarePythonHasher -- content-based recursive object hasher SemanticHasherProtocol -- protocol for semantic hashers - PythonTypeHandlerRegistry -- registry mapping types to PythonTypeHandler instances + PythonTypeHandlerRegistry -- registry mapping types to PythonTypeHandlerProtocol instances get_default_semantic_hasher -- global default SemanticHasherProtocol factory get_default_python_type_handler_registry -- global default registry factory ContentIdentifiableMixin -- convenience mixin for content-identifiable objects @@ -53,7 +53,7 @@ ContentIdentifiableProtocol, FileContentHasherProtocol, FunctionInfoExtractorProtocol, - PythonTypeHandler, + PythonTypeHandlerProtocol, SemanticHasherProtocol, SemanticTypeHasherProtocol, StringCacherProtocol, @@ -97,7 +97,7 @@ "register_builtin_python_type_handlers", "SemanticHasherProtocol", "ContentIdentifiableProtocol", - "PythonTypeHandler", + "PythonTypeHandlerProtocol", "FileContentHasherProtocol", "ArrowHasherProtocol", "StringCacherProtocol", diff --git a/src/orcapod/hashing/semantic_hashing/__init__.py b/src/orcapod/hashing/semantic_hashing/__init__.py index 67d4bd64..c8d139b3 100644 --- a/src/orcapod/hashing/semantic_hashing/__init__.py +++ b/src/orcapod/hashing/semantic_hashing/__init__.py @@ -2,11 +2,11 @@ orcapod.hashing.semantic_hashing ================================= SemanticAwarePythonHasher -- content-based recursive object hasher - PythonTypeHandlerRegistry -- MRO-aware registry mapping types → PythonTypeHandler + PythonTypeHandlerRegistry -- MRO-aware registry mapping types → PythonTypeHandlerProtocol BuiltinPythonTypeHandlerRegistry -- pre-populated registry with built-in hashers ContentIdentifiableMixin -- convenience mixin for content-identifiable objects -Built-in PythonTypeHandler implementations: +Built-in PythonTypeHandlerProtocol implementations: PathHandler -- pathlib.Path → file-content hash UUIDHandler -- uuid.UUID → canonical bytes BytesHandler -- bytes/bytearray → hex string diff --git a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py index 469a1fe5..096a6cdc 100644 --- a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py +++ b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py @@ -1,5 +1,5 @@ """ -Built-in PythonTypeHandler implementations. +Built-in PythonTypeHandlerProtocol implementations. PathHandler -- pathlib.Path: file content hash UPathHandler -- upath.UPath: file content hash (remote-aware) diff --git a/src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py b/src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py index effa94ad..703cba8d 100644 --- a/src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py +++ b/src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py @@ -3,13 +3,13 @@ Any class that implements ``identity_structure()`` can inherit from this mixin to gain a full suite of content-based identity helpers without having to wire -up a ``SemanticAwarePythonHasher`` manually: +up a ``SemanticHasherProtocol`` manually: - ``content_hash()`` -- returns a stable ContentHash for the object - ``__hash__()`` -- Python hash based on content (int) - ``__eq__()`` -- equality via content_hash comparison -The mixin uses the global default ``SemanticAwarePythonHasher`` by default, but +The mixin uses the global default ``SemanticHasherProtocol`` by default, but accepts an injected hasher for testing or custom configurations. Usage @@ -32,7 +32,7 @@ def identity_structure(self): With an injected hasher (e.g. in tests):: - hasher = SemanticAwarePythonHasher(hasher_id="test", strict=True) + hasher = SemanticHasherProtocol(hasher_id="test", strict=True) record = MyRecord("foo", 42) record._semantic_hasher = hasher print(record.content_hash()) @@ -65,7 +65,7 @@ def identity_structure(self): import logging from typing import Any -from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher +from orcapod.protocols.hashing_protocols import SemanticHasherProtocol from orcapod.types import ContentHash logger = logging.getLogger(__name__) @@ -82,19 +82,19 @@ def identity_structure(self) -> Any: ... The returned structure is recursively resolved and hashed by the - ``SemanticAwarePythonHasher`` to produce a stable ContentHash. + ``SemanticHasherProtocol`` to produce a stable ContentHash. Parameters (passed as keyword arguments to ``__init__``) --------------------------------------------------------- semantic_hasher: - Optional ``SemanticAwarePythonHasher`` instance to use. When omitted, + Optional ``SemanticHasherProtocol`` instance to use. When omitted, the hasher is obtained from the default data context via ``orcapod.contexts.get_default_context().semantic_hasher``, which is the single source of truth for versioned component configuration. """ def __init__( - self, *, semantic_hasher: SemanticAwarePythonHasher | None = None, **kwargs: Any + self, *, semantic_hasher: SemanticHasherProtocol | None = None, **kwargs: Any ) -> None: # Cooperative MRO-friendly init -- forward remaining kwargs up the chain. super().__init__(**kwargs) @@ -215,8 +215,8 @@ def _invalidate_content_hash_cache(self) -> None: # Hasher resolution # ------------------------------------------------------------------ - def _get_hasher(self) -> SemanticAwarePythonHasher: - """Return the ``SemanticAwarePythonHasher`` to use for this object. + def _get_hasher(self) -> SemanticHasherProtocol: + """Return the ``SemanticHasherProtocol`` to use for this object. Resolution order: 1. The instance-level ``_semantic_hasher`` attribute (set at @@ -229,7 +229,7 @@ def _get_hasher(self) -> SemanticAwarePythonHasher: type converter, etc.) that belong to the same context. Returns: - SemanticAwarePythonHasher: The hasher to use. + SemanticHasherProtocol: The hasher to use. """ if self._semantic_hasher is not None: return self._semantic_hasher diff --git a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py index ad895fdb..2235037c 100644 --- a/src/orcapod/hashing/semantic_hashing/semantic_hasher.py +++ b/src/orcapod/hashing/semantic_hashing/semantic_hasher.py @@ -71,7 +71,6 @@ from collections.abc import Callable, Mapping from typing import Any -from orcapod.hashing.semantic_hashing.type_handler_registry import PythonTypeHandlerRegistry from orcapod.protocols import hashing_protocols as hp from orcapod.types import ContentHash @@ -91,8 +90,8 @@ class SemanticAwarePythonHasher: A short string identifying this hasher version/configuration. Embedded in every ContentHash produced. type_handler_registry: - ``PythonTypeHandlerRegistry`` for MRO-aware lookup of - ``PythonTypeHandler`` instances. + ``HandlerRegistryProtocol`` for MRO-aware lookup of + ``PythonTypeHandlerProtocol`` instances. If None, the default registry is used. strict: When True (default) raises TypeError for unhandled types. @@ -102,7 +101,7 @@ class SemanticAwarePythonHasher: def __init__( self, hasher_id: str, - type_handler_registry: PythonTypeHandlerRegistry | None = None, + type_handler_registry: "hp.HandlerRegistryProtocol | None" = None, strict: bool = True, ) -> None: self._hasher_id = hasher_id @@ -127,8 +126,8 @@ def strict(self) -> bool: return self._strict @property - def type_handler_registry(self) -> PythonTypeHandlerRegistry: - """Return the ``PythonTypeHandlerRegistry`` used by this hasher.""" + def type_handler_registry(self) -> "hp.HandlerRegistryProtocol": + """Return the ``HandlerRegistryProtocol`` used by this hasher.""" return self._registry def hash_object( @@ -366,7 +365,7 @@ def _hash_to_content_hash(self, obj: Any) -> ContentHash: except (TypeError, ValueError) as exc: raise TypeError( f"SemanticAwarePythonHasher: failed to JSON-serialise object of type " - f"{type(obj).__name__!r}. Ensure all PythonTypeHandler " + f"{type(obj).__name__!r}. Ensure all PythonTypeHandlerProtocol " "implementations and identity_structure() return JSON-serialisable " "primitives or structures." ) from exc @@ -389,15 +388,16 @@ def _handle_unknown(self, obj: Any) -> str: if self._strict: raise TypeError( - f"SemanticAwarePythonHasher (strict): no PythonTypeHandler " - f"registered for type '{qualified}' and it does not implement " - "ContentIdentifiableProtocol. Register a PythonTypeHandler " - "via the PythonTypeHandlerRegistry or implement " - "identity_structure() on the class." + f"SemanticAwarePythonHasher (strict): no implementation of " + f"PythonTypeHandlerProtocol registered for type '{qualified}' and it " + "does not implement ContentIdentifiableProtocol. Register an " + "implementation of PythonTypeHandlerProtocol via the " + "HandlerRegistryProtocol or implement identity_structure() on the class." ) logger.warning( - "SemanticAwarePythonHasher (non-strict): no PythonTypeHandler registered for type '%s'. " + "SemanticAwarePythonHasher (non-strict): no implementation of " + "PythonTypeHandlerProtocol registered for type '%s'. " "Falling back to best-effort string representation.", qualified, ) diff --git a/src/orcapod/hashing/semantic_hashing/type_handler_registry.py b/src/orcapod/hashing/semantic_hashing/type_handler_registry.py index 84614dbd..6389b501 100644 --- a/src/orcapod/hashing/semantic_hashing/type_handler_registry.py +++ b/src/orcapod/hashing/semantic_hashing/type_handler_registry.py @@ -1,7 +1,7 @@ """ -PythonTypeHandlerRegistry — MRO-aware registry for PythonTypeHandler instances. +PythonTypeHandlerRegistry — MRO-aware registry for PythonTypeHandlerProtocol instances. -``PythonTypeHandler`` is the protocol for type-specific handlers; this registry +``PythonTypeHandlerProtocol`` is the protocol for type-specific handlers; this registry provides MRO-aware lookup so subclasses inherit their parent's handler. """ @@ -14,14 +14,14 @@ if TYPE_CHECKING: from orcapod.protocols.hashing_protocols import ( ArrowHasherProtocol, - PythonTypeHandler, + PythonTypeHandlerProtocol, ) logger = logging.getLogger(__name__) class PythonTypeHandlerRegistry: - """Registry mapping Python types to PythonTypeHandler instances. + """Registry mapping Python types to PythonTypeHandlerProtocol instances. Lookup is MRO-aware: when no hasher is registered for the exact type of an object, the registry walks the object's MRO (most-derived first) until @@ -34,20 +34,20 @@ class PythonTypeHandlerRegistry: """ def __init__( - self, handlers: list[tuple[type, "PythonTypeHandler"]] | None = None + self, handlers: list[tuple[type, "PythonTypeHandlerProtocol"]] | None = None ) -> None: """ Args: handlers: Optional list of ``(target_type, hasher)`` pairs to register at construction time. """ - self._handlers: dict[type, "PythonTypeHandler"] = {} + self._handlers: dict[type, "PythonTypeHandlerProtocol"] = {} self._lock = threading.RLock() if handlers: for target_type, handler in handlers: self.register(target_type, handler) - def register(self, target_type: type, handler: "PythonTypeHandler") -> None: + def register(self, target_type: type, handler: "PythonTypeHandlerProtocol") -> None: """Register a hasher for a specific Python type. If a hasher is already registered for *target_type*, it is silently @@ -55,7 +55,7 @@ def register(self, target_type: type, handler: "PythonTypeHandler") -> None: Args: target_type: The Python type (or class) for which the hasher should be used. - handler: A ``PythonTypeHandler`` instance. + handler: A ``PythonTypeHandlerProtocol`` instance. Raises: TypeError: If ``target_type`` is not a ``type``. @@ -90,14 +90,14 @@ def unregister(self, target_type: type) -> bool: return True return False - def get_handler(self, obj: Any) -> "PythonTypeHandler | None": + def get_handler(self, obj: Any) -> "PythonTypeHandlerProtocol | None": """Look up the handler for *obj* using MRO-aware resolution. Args: obj: The object for which a handler is needed. Returns: - The registered ``PythonTypeHandler``, or None. + The registered ``PythonTypeHandlerProtocol``, or None. """ obj_type = type(obj) with self._lock: @@ -117,14 +117,14 @@ def get_handler(self, obj: Any) -> "PythonTypeHandler | None": def get_handler_for_type( self, target_type: type - ) -> "PythonTypeHandler | None": + ) -> "PythonTypeHandlerProtocol | None": """Look up the handler for a *type object* (rather than an instance). Args: target_type: The type to look up. Returns: - The registered ``PythonTypeHandler``, or None. + The registered ``PythonTypeHandlerProtocol``, or None. """ with self._lock: handler = self._handlers.get(target_type) diff --git a/src/orcapod/protocols/hashing_protocols.py b/src/orcapod/protocols/hashing_protocols.py index 119f8b3f..4599847f 100644 --- a/src/orcapod/protocols/hashing_protocols.py +++ b/src/orcapod/protocols/hashing_protocols.py @@ -47,10 +47,10 @@ def content_hash(self, hasher: "SemanticHasherProtocol | None" = None) -> Conten ... -class PythonTypeHandler(Protocol): - """Protocol for type-specific semantic hashers used by SemanticAwarePythonHasher. +class PythonTypeHandlerProtocol(Protocol): + """Protocol for type-specific semantic hashers used by ``SemanticAwarePythonHasher``. - A ``PythonTypeHandler`` converts a specific Python type into a + A ``PythonTypeHandlerProtocol`` converts a specific Python type into a representative Python structure that ``SemanticHasherProtocol.hash_object()`` can then hash. Implementations are registered with a ``HandlerRegistryProtocol`` and looked up via MRO-aware resolution. @@ -90,11 +90,11 @@ class HandlerRegistryProtocol(Protocol): and its consumers do not depend on the concrete registry class. """ - def get_handler(self, obj: Any) -> "PythonTypeHandler | None": + def get_handler(self, obj: Any) -> "PythonTypeHandlerProtocol | None": """Look up the handler for *obj* using MRO-aware resolution.""" ... - def get_handler_for_type(self, target_type: type) -> "PythonTypeHandler | None": + def get_handler_for_type(self, target_type: type) -> "PythonTypeHandlerProtocol | None": """Look up the handler for a type object (rather than an instance).""" ... diff --git a/test-objective/unit/test_hashing.py b/test-objective/unit/test_hashing.py index e82083a3..a6928ef3 100644 --- a/test-objective/unit/test_hashing.py +++ b/test-objective/unit/test_hashing.py @@ -58,7 +58,7 @@ def lenient_hasher(registry: PythonTypeHandlerRegistry) -> SemanticAwarePythonHa class _FakeHandler: - """Minimal object satisfying PythonTypeHandler for testing.""" + """Minimal object satisfying PythonTypeHandlerProtocol for testing.""" def __init__(self, return_value: Any = "handled") -> None: self._return_value = return_value @@ -230,7 +230,7 @@ def test_unknown_type_strict_raises(self, hasher: SemanticAwarePythonHasher) -> class Unknown: pass - with pytest.raises(TypeError, match="no PythonTypeHandler registered"): + with pytest.raises(TypeError, match="no implementation of PythonTypeHandlerProtocol registered"): hasher.hash_object(Unknown()) def test_unknown_type_lenient_succeeds( diff --git a/tests/test_hashing/test_semantic_hasher.py b/tests/test_hashing/test_semantic_hasher.py index dc074fcb..3fe4fd38 100644 --- a/tests/test_hashing/test_semantic_hasher.py +++ b/tests/test_hashing/test_semantic_hasher.py @@ -299,7 +299,7 @@ def __init__(self, x: int) -> None: class TestStrictMode: def test_strict_raises_on_unknown_type(self, hasher): - with pytest.raises(TypeError, match="no PythonTypeHandler registered"): + with pytest.raises(TypeError, match="no implementation of PythonTypeHandlerProtocol registered"): hasher.hash_object(Unhandled(1)) def test_non_strict_returns_content_hash(self, lenient_hasher): From 6d906f618ca4996dc421e0047cd34de1e2672838 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 25 Jun 2026 01:36:00 +0000 Subject: [PATCH 203/206] refactor(hashing): decouple builtin handlers from concrete types - Replace all `handle()` hasher params with SemanticHasherProtocol (was SemanticAwarePythonHasher) across all 11 builtin handler classes - Change register_builtin_python_type_handlers() registry param from PythonTypeHandlerRegistry to HandlerRegistryProtocol - Remove concrete-class imports from TYPE_CHECKING block; import SemanticHasherProtocol and HandlerRegistryProtocol from protocols module - Fix content_identifiable_mixin.py docstring example that incorrectly showed SemanticHasherProtocol being instantiated; replace with SemanticAwarePythonHasher (the concrete class) Co-Authored-By: Claude Sonnet 4.6 --- .../semantic_hashing/builtin_handlers.py | 32 +++++++++---------- .../content_identifiable_mixin.py | 3 +- 2 files changed, 17 insertions(+), 18 deletions(-) diff --git a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py index 096a6cdc..68bbb3ec 100644 --- a/src/orcapod/hashing/semantic_hashing/builtin_handlers.py +++ b/src/orcapod/hashing/semantic_hashing/builtin_handlers.py @@ -29,13 +29,11 @@ from orcapod.types import ContentHash, PathLike, Schema if TYPE_CHECKING: - from orcapod.hashing.semantic_hashing.type_handler_registry import ( - PythonTypeHandlerRegistry, - ) - from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher from orcapod.protocols.hashing_protocols import ( ArrowHasherProtocol, FileContentHasherProtocol, + HandlerRegistryProtocol, + SemanticHasherProtocol, ) logger = logging.getLogger(__name__) @@ -51,7 +49,7 @@ class PathHandler: def __init__(self, file_hasher: "FileContentHasherProtocol") -> None: self.file_hasher = file_hasher - def handle(self, obj: PathLike, hasher: "SemanticAwarePythonHasher") -> ContentHash: + def handle(self, obj: PathLike, hasher: "SemanticHasherProtocol") -> ContentHash: path: Path = Path(obj) if not path.exists(): raise FileNotFoundError( @@ -77,7 +75,7 @@ class UPathHandler: def __init__(self, file_hasher: "FileContentHasherProtocol") -> None: self.file_hasher = file_hasher - def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> ContentHash: if not isinstance(obj, UPath): raise TypeError( f"UPathHandler: expected a UPath, got {type(obj)!r}." @@ -97,14 +95,14 @@ def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: class UUIDHandler: """Hasher for ``uuid.UUID`` objects — returns the raw 16-byte binary representation.""" - def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: return obj.bytes class BytesHandler: """Hasher for bytes and bytearray objects — returns the lowercase hex string.""" - def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: if isinstance(obj, (bytes, bytearray)): return obj.hex() raise TypeError( @@ -123,7 +121,7 @@ class FunctionHandler: def __init__(self, function_info_extractor: Any) -> None: self.function_info_extractor = function_info_extractor - def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: if not (callable(obj) and hasattr(obj, "__code__")): raise TypeError( f"FunctionHandler: expected a callable with __code__, got {type(obj)!r}" @@ -140,7 +138,7 @@ class TypeObjectHandler: Returns a stable string of the form ``"type:."``. """ - def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: if not isinstance(obj, type): raise TypeError( f"TypeObjectHandler: expected a type/class, got {type(obj)!r}" @@ -153,7 +151,7 @@ def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: class SpecialFormHandler: """Hasher for ``typing._SpecialForm`` objects such as ``typing.Union``.""" - def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: name = getattr(obj, "_name", None) or repr(obj) return f"special_form:typing.{name}" @@ -161,7 +159,7 @@ def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: class GenericAliasHandler: """Hasher for generic alias type annotations (``dict[int, str]``, ``Optional[X]``, etc.).""" - def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: import typing origin = getattr(obj, "__origin__", None) @@ -181,7 +179,7 @@ def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: class UnionTypeHandler: """Hasher for ``types.UnionType`` objects (Python 3.10+ ``X | Y`` syntax).""" - def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: args = getattr(obj, "__args__", None) or () hashed_args = sorted(hasher.hash_object(arg).to_string() for arg in args) return {"__type__": "union", "args": hashed_args} @@ -206,7 +204,7 @@ def _get_arrow_hasher(self) -> "ArrowHasherProtocol": from orcapod.contexts import get_default_context return get_default_context().arrow_hasher # type: ignore[return-value] - def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: + def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> ContentHash: import pyarrow as _pa if isinstance(obj, _pa.RecordBatch): @@ -221,7 +219,7 @@ def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> ContentHash: class SchemaHandler: """Hasher for ``Schema`` objects.""" - def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: + def handle(self, obj: Any, hasher: "SemanticHasherProtocol") -> Any: if not isinstance(obj, Schema): raise TypeError( f"SchemaHandler: expected a Schema, got {type(obj)!r}" @@ -230,7 +228,7 @@ def handle(self, obj: Any, hasher: "SemanticAwarePythonHasher") -> Any: def register_builtin_python_type_handlers( - registry: "PythonTypeHandlerRegistry", + registry: "HandlerRegistryProtocol", file_hasher: Any = None, function_info_extractor: Any = None, arrow_hasher: "ArrowHasherProtocol | None" = None, @@ -244,7 +242,7 @@ def register_builtin_python_type_handlers( hash time, breaking the construction-time circular dependency. Args: - registry: The ``PythonTypeHandlerRegistry`` to populate. + registry: The ``HandlerRegistryProtocol`` instance to populate. file_hasher: Optional ``FileContentHasherProtocol`` for path hashing. Defaults to ``BasicFileHasher(sha256)``. function_info_extractor: Optional ``FunctionInfoExtractorProtocol``. diff --git a/src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py b/src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py index 703cba8d..4543ff01 100644 --- a/src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py +++ b/src/orcapod/hashing/semantic_hashing/content_identifiable_mixin.py @@ -32,7 +32,8 @@ def identity_structure(self): With an injected hasher (e.g. in tests):: - hasher = SemanticHasherProtocol(hasher_id="test", strict=True) + from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher + hasher = SemanticAwarePythonHasher(hasher_id="test", strict=True) record = MyRecord("foo", 42) record._semantic_hasher = hasher print(record.content_hash()) From 8d2897fe456fd5def37166a551bdee140c18a42a Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 25 Jun 2026 02:57:22 +0000 Subject: [PATCH 204/206] fix(hashing): complete HandlerRegistryProtocol and fix test docstring MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Add register() and __len__() to HandlerRegistryProtocol so the protocol matches every method called on registry inside register_builtin_python_type_handlers(); previously HandlerRegistryProtocol only declared the lookup side of the interface (get_handler, get_handler_for_type, has_handler), leaving register() and len() untyped - Fix test_uuid_handler.py module docstring: s/hash() method behaviour/ handle() dispatch via SemanticAwarePythonHasher/ — UUIDHandler implements handle(), not hash(), and the tests exercise hash_object() dispatch Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/protocols/hashing_protocols.py | 8 ++++++++ tests/test_hashing/test_uuid_handler.py | 2 +- 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/src/orcapod/protocols/hashing_protocols.py b/src/orcapod/protocols/hashing_protocols.py index 4599847f..a5e066d4 100644 --- a/src/orcapod/protocols/hashing_protocols.py +++ b/src/orcapod/protocols/hashing_protocols.py @@ -90,6 +90,10 @@ class HandlerRegistryProtocol(Protocol): and its consumers do not depend on the concrete registry class. """ + def register(self, target_type: type, handler: "PythonTypeHandlerProtocol") -> None: + """Register a handler for a specific Python type.""" + ... + def get_handler(self, obj: Any) -> "PythonTypeHandlerProtocol | None": """Look up the handler for *obj* using MRO-aware resolution.""" ... @@ -102,6 +106,10 @@ def has_handler(self, target_type: type) -> bool: """Return True if a handler is registered for *target_type* or any MRO ancestor.""" ... + def __len__(self) -> int: + """Return the number of directly-registered types.""" + ... + class SemanticHasherProtocol(Protocol): """Protocol for the semantic content-based hasher.""" diff --git a/tests/test_hashing/test_uuid_handler.py b/tests/test_hashing/test_uuid_handler.py index b9e57cd9..a4692510 100644 --- a/tests/test_hashing/test_uuid_handler.py +++ b/tests/test_hashing/test_uuid_handler.py @@ -1,4 +1,4 @@ -"""Tests for UUIDHandler hash() method behaviour. +"""Tests for UUIDHandler handle() dispatch via SemanticAwarePythonHasher. Verifies that UUIDHandler produces a ContentHash based on the 16-byte binary representation of a UUID, consistent with OrcaPod's canonical From f78d4ae00d9e0fd36d68b34d039b9a996a2aa018 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 25 Jun 2026 03:21:20 +0000 Subject: [PATCH 205/206] docs(hashing): align docstrings with protocol parameter/return types MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Update all docstrings and type annotations to consistently use protocol types instead of concrete implementation types: - versioned_hashers.py: fix summary ("SemanticAwarePythonHasher" → "SemanticHasherProtocol") and type_handler_registry param description ("PythonTypeHandlerRegistry" → "HandlerRegistryProtocol") to match the hp.HandlerRegistryProtocol annotation already on the parameter - arrow_hashers.py: change semantic_hasher param annotation and docstring from SemanticAwarePythonHasher to SemanticHasherProtocol; update TYPE_CHECKING import accordingly - visitors.py: same for python_hasher param in SemanticHashingVisitor - defaults.py: update "owned by SemanticAwarePythonHasher" to "owned by SemanticHasherProtocol" in get_default_python_type_handler_registry Co-Authored-By: Claude Sonnet 4.6 --- src/orcapod/hashing/arrow_hashers.py | 6 +++--- src/orcapod/hashing/defaults.py | 2 +- src/orcapod/hashing/versioned_hashers.py | 4 ++-- src/orcapod/hashing/visitors.py | 6 +++--- 4 files changed, 9 insertions(+), 9 deletions(-) diff --git a/src/orcapod/hashing/arrow_hashers.py b/src/orcapod/hashing/arrow_hashers.py index f568cac1..d5ce6a7c 100644 --- a/src/orcapod/hashing/arrow_hashers.py +++ b/src/orcapod/hashing/arrow_hashers.py @@ -11,7 +11,7 @@ if TYPE_CHECKING: from orcapod.semantic_types.universal_converter import UniversalTypeConverter - from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher + from orcapod.protocols.hashing_protocols import SemanticHasherProtocol class StarfixArrowHasher: @@ -35,7 +35,7 @@ class StarfixArrowHasher: ``UniversalTypeConverter`` used to resolve extension types to Python types and convert storage values back to Python objects. semantic_hasher: - ``SemanticAwarePythonHasher`` used to hash Python objects extracted + ``SemanticHasherProtocol`` used to hash Python objects extracted from extension-typed columns. hasher_id: String identifier embedded in every ``ContentHash`` produced by this @@ -45,7 +45,7 @@ class StarfixArrowHasher: def __init__( self, type_converter: "UniversalTypeConverter", - semantic_hasher: "SemanticAwarePythonHasher", + semantic_hasher: "SemanticHasherProtocol", hasher_id: str, ) -> None: self._type_converter = type_converter diff --git a/src/orcapod/hashing/defaults.py b/src/orcapod/hashing/defaults.py index fb95675b..26a6ac44 100644 --- a/src/orcapod/hashing/defaults.py +++ b/src/orcapod/hashing/defaults.py @@ -19,7 +19,7 @@ def get_default_python_type_handler_registry() -> PythonTypeHandlerRegistry: Return the ``PythonTypeHandlerRegistry`` from the default data context's semantic hasher. - The registry is owned by the active ``SemanticAwarePythonHasher``, which is itself + The registry is owned by the active ``SemanticHasherProtocol``, which is itself versioned inside the active ``DataContext``. Returns: diff --git a/src/orcapod/hashing/versioned_hashers.py b/src/orcapod/hashing/versioned_hashers.py index 33b5a7da..c968bbca 100644 --- a/src/orcapod/hashing/versioned_hashers.py +++ b/src/orcapod/hashing/versioned_hashers.py @@ -50,7 +50,7 @@ def get_versioned_semantic_hasher( strict: bool = True, type_handler_registry: "hp.HandlerRegistryProtocol | None" = None, ) -> hp.SemanticHasherProtocol: - """Return a SemanticAwarePythonHasher configured for the current version. + """Return a SemanticHasherProtocol configured for the current version. Parameters ---------- @@ -60,7 +60,7 @@ def get_versioned_semantic_hasher( When True raises TypeError for unhandled types. When False falls back to a best-effort string representation. type_handler_registry: - Optional ``PythonTypeHandlerRegistry`` to inject. When None the + Optional ``HandlerRegistryProtocol`` to inject. When None the global default registry is used. """ from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher diff --git a/src/orcapod/hashing/visitors.py b/src/orcapod/hashing/visitors.py index a84be1c9..ec0382ac 100644 --- a/src/orcapod/hashing/visitors.py +++ b/src/orcapod/hashing/visitors.py @@ -13,7 +13,7 @@ if TYPE_CHECKING: import pyarrow as pa from orcapod.semantic_types.universal_converter import UniversalTypeConverter - from orcapod.hashing.semantic_hashing.semantic_hasher import SemanticAwarePythonHasher + from orcapod.protocols.hashing_protocols import SemanticHasherProtocol else: pa = LazyModule("pyarrow") @@ -180,14 +180,14 @@ class SemanticHashingVisitor(ArrowTypeDataVisitor): Args: type_converter: The active ``UniversalTypeConverter`` for resolving extension type → Python type and storage → Python conversion. - python_hasher: The active ``SemanticAwarePythonHasher`` for hashing + python_hasher: The active ``SemanticHasherProtocol`` for hashing Python objects. """ def __init__( self, type_converter: "UniversalTypeConverter", - python_hasher: "SemanticAwarePythonHasher", + python_hasher: "SemanticHasherProtocol", ) -> None: self._type_converter = type_converter self._python_hasher = python_hasher From f73dcba071c6cc167368a60fea53d6612ace3c86 Mon Sep 17 00:00:00 2001 From: "agent-kurodo[bot]" <268466204+agent-kurodo[bot]@users.noreply.github.com> Date: Thu, 25 Jun 2026 03:57:44 +0000 Subject: [PATCH 206/206] test(hashing): add cross-path consistency tests for extension type hashing MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The PLT-1660 hard cut deleted test_file_hashing_consistency.py because it depended on SemanticArrowHasher, SemanticTypeRegistry, and PythonPathStructConverter — all of which were removed. The test intent (cross-path consistency between the Arrow and Python hashing paths) was not ported to the new extension type system. Add TestCrossPathConsistency to test_extension_type_hashing.py: - test_arrow_and_semantic_hash_same_file_content: verifies that SemanticHashingVisitor.visit_extension and semantic_hasher.hash_object embed the same prefixed digest for the same file content. - test_same_content_two_files_cross_path: verifies that two files with identical content produce matching hash tokens across both paths. Both paths call hash_object on the same Python object by construction, so this is a structural guarantee — but now also an explicit regression test. Co-Authored-By: Claude Sonnet 4.6 --- ...3-merge-extension-type-system-into-main.md | 41 +++++++++++++ .../test_extension_type_hashing.py | 57 +++++++++++++++++++ 2 files changed, 98 insertions(+) create mode 100644 superpowers/plans/2026-06-25-plt-1663-merge-extension-type-system-into-main.md diff --git a/superpowers/plans/2026-06-25-plt-1663-merge-extension-type-system-into-main.md b/superpowers/plans/2026-06-25-plt-1663-merge-extension-type-system-into-main.md new file mode 100644 index 00000000..12f8d3f3 --- /dev/null +++ b/superpowers/plans/2026-06-25-plt-1663-merge-extension-type-system-into-main.md @@ -0,0 +1,41 @@ +# PLT-1663: Merge extension-type-system → main + +## Overview + +The `extension-type-system` integration branch contains all work from PLT-1652 through +PLT-1660, PLT-1668, and PLT-1672. This plan covers the final steps to bring the branch +up-to-date with `main` and create the merge PR. + +## Situation + +- `extension-type-system` is 205 commits ahead of `main` +- It is 5 commits **behind** `main` (all PLT-1773: pyspiral `0.11.7 → 0.14.9` upgrade) +- The missing commits cause `spiral-integration` CI to fail (external service issue, + not a code bug — fixed by the pyspiral version bump on main) +- All other CI checks pass (unit tests 3.11/3.12, license check) +- Code audit: all old naming patterns removed from production code + - `ExtensionTypeConverter` — gone ✅ + - `ExtensionTypeRegistry` — gone ✅ + - `SemanticTypeRegistry` — only in v0.1.json changelog comment ✅ + - `BaseSemanticHasher` — only in v0.1.json changelog comment ✅ + - Shape-based code — only in explanatory comments ✅ + +## Steps + +1. **Rebase** `extension-type-system` onto `origin/main` + - Brings in 5 PLT-1773 commits (pyspiral fix + lock file updates) + - No conflicts expected (verified via dry-run) + - Will fix the `spiral-integration` CI failure + +2. **Force-push** `extension-type-system` to origin + - Required after rebase; targets feature branch only (not main) + +3. **Create PR** `extension-type-system` → `main` + - Comprehensive description listing all sub-issues resolved + - References PLT-1663 and all related issues (PLT-1652 through PLT-1660, PLT-1668, PLT-1672) + +## Success Criteria + +- CI passes on the updated `extension-type-system` branch +- PR is open and ready for review +- PR description references PLT-1663 and all sub-issues diff --git a/tests/test_hashing/test_extension_type_hashing.py b/tests/test_hashing/test_extension_type_hashing.py index 4cace31f..72106df4 100644 --- a/tests/test_hashing/test_extension_type_hashing.py +++ b/tests/test_hashing/test_extension_type_hashing.py @@ -144,3 +144,60 @@ def test_unregistered_python_type_passes_through(self, ctx): # Should be completely unchanged since UUID has no semantic hasher assert new_type == arrow_type assert new_data == storage_val + + +class TestCrossPathConsistency: + """Verify that the Arrow visitor path and the direct Python hasher path produce + identical hash tokens for the same underlying file content. + + The Arrow path (SemanticHashingVisitor.visit_extension) converts the extension + storage value back to a Python object and calls semantic_hasher.hash_object — + exactly the same call as the direct Python path. These tests make that + structural guarantee explicit and regression-proof. + + Hash encoding: + - Arrow path produces: b":::" + - Python path produces: ContentHash with to_prefixed_digest() → b":" + Stripping the type-name prefix from the Arrow encoding yields an identical + b":" byte string. + """ + + def test_arrow_and_semantic_hash_same_file_content(self, ctx, tmp_path): + """Arrow visitor path and direct Python hasher path embed the same digest.""" + file = tmp_path / "shared.txt" + file.write_text("shared content for both paths") + + arrow_type = ctx.type_converter.register_python_class(Path) + storage_val = ctx.type_converter.python_to_storage(Path(file), Path) + + # Arrow path: visit_extension encodes as b":::" + visitor = SemanticHashingVisitor(ctx.type_converter, ctx.semantic_hasher) + _, arrow_hash_bytes = visitor.visit(arrow_type, storage_val) + # Strip the "orcapod:path::" type prefix to get b":" + prefixed_from_arrow = arrow_hash_bytes.split(b"::", 1)[1] + + # Python path: hash_object returns ContentHash directly + python_content_hash = ctx.semantic_hasher.hash_object(Path(file)) + prefixed_from_python = python_content_hash.to_prefixed_digest() + + assert prefixed_from_arrow == prefixed_from_python + + def test_same_content_two_files_cross_path(self, ctx, tmp_path): + """Two files with identical content: Arrow path and Python path agree.""" + file_arrow = tmp_path / "file_arrow.txt" + file_python = tmp_path / "file_python.txt" + content = "same content for cross-path test" + file_arrow.write_text(content) + file_python.write_text(content) + + arrow_type = ctx.type_converter.register_python_class(Path) + storage_val = ctx.type_converter.python_to_storage(Path(file_arrow), Path) + + visitor = SemanticHashingVisitor(ctx.type_converter, ctx.semantic_hasher) + _, arrow_hash_bytes = visitor.visit(arrow_type, storage_val) + prefixed_from_arrow = arrow_hash_bytes.split(b"::", 1)[1] + + python_content_hash = ctx.semantic_hasher.hash_object(Path(file_python)) + prefixed_from_python = python_content_hash.to_prefixed_digest() + + assert prefixed_from_arrow == prefixed_from_python