From 8dc01520804ee2f70dea00fe210583213da68d6d Mon Sep 17 00:00:00 2001 From: Niels Date: Mon, 9 Mar 2026 22:51:50 +0100 Subject: [PATCH 1/4] Migrate packaging and CI from setuptools/travis to uv and GitHub Actions - replace Travis with GitHub Actions CI and publish workflows - switch to PEP 621 metadata in `pyproject.toml` and remove legacy packaging files - adopt `uv` workflows/docs, add lockfile, and update classifier/version metadata handling --- .github/workflows/ci.yml | 48 + .github/workflows/publish.yml | 42 + .travis.yml | 73 -- MANIFEST.in | 1 - Pipfile | 24 - README.md | 42 +- pyproject.toml | 94 +- quantulum3/__init__.py | 4 +- quantulum3/_lang/en_US/parser.py | 6 +- quantulum3/classifier.py | 15 +- quantulum3/no_classifier.py | 1 + quantulum3/scripts/train.py | 2 +- quantulum3/tests/test_setup.py | 16 +- requirements_classifier.txt | 6 - scripts/download_wiki.py | 2 +- scripts/extract_vere.py | 9 +- scripts/format.sh | 4 +- scripts/to_test.py | 2 +- setup.py | 66 -- uv.lock | 1719 ++++++++++++++++++++++++++++++ 20 files changed, 1963 insertions(+), 213 deletions(-) create mode 100644 .github/workflows/ci.yml create mode 100644 .github/workflows/publish.yml delete mode 100644 .travis.yml delete mode 100644 MANIFEST.in delete mode 100644 Pipfile delete mode 100644 requirements_classifier.txt delete mode 100644 setup.py create mode 100644 uv.lock diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 00000000..7a907310 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,48 @@ +name: CI + +on: + push: + branches: + - master + - dev + - language_support + pull_request: + +jobs: + test: + runs-on: ubuntu-latest + strategy: + fail-fast: false + matrix: + python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"] + + steps: + - uses: actions/checkout@v4 + + - uses: astral-sh/setup-uv@v6 + with: + python-version: ${{ matrix.python-version }} + + - name: Sync dependencies + run: uv sync --extra classifier + + - name: Smoke import + run: uv run python scripts/test_import_error.py + + - name: Build generated assets + run: uv run python scripts/build.py + + - name: Run test suite + run: | + uv run pytest \ + quantulum3/tests/test_setup.py \ + quantulum3/tests/test_hypothesis.py \ + quantulum3/tests/test_no_classifier.py \ + quantulum3/tests/test_parse_ranges.py \ + quantulum3/_lang/en_US/tests/extract_spellout_values.py \ + quantulum3/tests/test_classes.py \ + quantulum3/tests/test_scripts.py \ + quantulum3/tests/test_load.py + + - name: Run classifier tests + run: uv run pytest quantulum3/tests/test_classifier.py -k "not test_wikipedia_pages" diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml new file mode 100644 index 00000000..2e63f93d --- /dev/null +++ b/.github/workflows/publish.yml @@ -0,0 +1,42 @@ +name: Publish + +on: + release: + types: [published] + workflow_dispatch: + +jobs: + build: + runs-on: ubuntu-latest + permissions: + contents: read + + steps: + - uses: actions/checkout@v4 + + - uses: astral-sh/setup-uv@v6 + with: + python-version: "3.13" + + - name: Build distributions + run: uv build + + - uses: actions/upload-artifact@v4 + with: + name: dist + path: dist/* + + publish: + needs: build + runs-on: ubuntu-latest + if: github.event_name == 'release' + permissions: + id-token: write + + steps: + - uses: actions/download-artifact@v4 + with: + name: dist + path: dist + + - uses: pypa/gh-action-pypi-publish@release/v1 diff --git a/.travis.yml b/.travis.yml deleted file mode 100644 index da1a018e..00000000 --- a/.travis.yml +++ /dev/null @@ -1,73 +0,0 @@ -language: python - -# free travis CI partner queue -os: linux -arch: - - arm64 -jobs: - include: - - python: '3.8' - - python: '3.9' - - python: '3.10' - - python: '3.11' - env: PRE_COMMIT=1 - fast_finish: true -dist: bionic - -install: - - test ! "$PRE_COMMIT" || pip install pre-commit - - if [[ $TRAVIS_PYTHON_VERSION == 3.7 ]]; then pip install -U importlib_metadata; fi - - pip install pylint - - pip install coverage - - pip install coveralls - - pip install hypothesis - # Check if installing works - - pip install -e . - -script: - - test ! "$PRE_COMMIT" || pre-commit run --all-files - # Check for import errors - - coverage run --source=quantulum3 scripts/test_import_error.py - # Build common words - - coverage run --source=quantulum3 scripts/build.py - # Test basic functionality - - coverage run -a --source=quantulum3 setup.py test -s quantulum3.tests.test_setup - # Test generally that user-facing functions do not throw errors - - coverage run -a --source=quantulum3 setup.py test -s quantulum3.tests.test_hypothesis - # Test whether quantulum works without classifier - - coverage run -a --source=quantulum3 setup.py test -s quantulum3.tests.test_no_classifier - # Test whether quantulum parses ranges correctly - - coverage run -a --source=quantulum3 setup.py test -s quantulum3.tests.test_parse_ranges - # Test language specific non-classifier tasks - - coverage run -a --source=quantulum3 setup.py test -s quantulum3._lang.en_US.tests.extract_spellout_values - # Test class methods - - coverage run -a --source=quantulum3 setup.py test -s quantulum3.tests.test_classes - # Test requirements.txt for classifier requirements - - pip install -r requirements_classifier.txt - # Lint package, now that all requirements are installed - - pylint quantulum3 - # Test classifier building and classifier functionality - # Note that the classifier trained here is included in the target package - - coverage run -a --source=quantulum3 setup.py test -s quantulum3.tests.test_classifier.ClassifierBuild - - coverage run -a --source=quantulum3 setup.py test -s quantulum3.tests.test_classifier.ClassifierTest - - coverage run -a --source=quantulum3 setup.py test -s quantulum3.tests.test_scripts.TrainScriptTest - - coverage run -a --source=quantulum3 setup.py test -s quantulum3.tests.test_load.TestCached - - coverage run -a --source=quantulum3 setup.py test -s quantulum3.tests.test_load.TestLoaders -after_success: - - coverage report - - coveralls - -deploy: - provider: pypi - on: - branch: master - python: "3.9" - distributions: "sdist bdist_wheel" - skip_existing: true - # Keep the generated classifier - skip_cleanup: true - - username: "nielstron" - password: - secure: "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" - diff --git a/MANIFEST.in b/MANIFEST.in deleted file mode 100644 index b738f696..00000000 --- a/MANIFEST.in +++ /dev/null @@ -1 +0,0 @@ -include requirements_classifier.txt diff --git a/Pipfile b/Pipfile deleted file mode 100644 index 018938fe..00000000 --- a/Pipfile +++ /dev/null @@ -1,24 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[packages] -inflect = "*" -numpy = "*" -scipy = "*" -scikit-learn = "*" -wikipedia = "*" -stemming = "*" -num2words = "*" -joblib = "*" -quantulum3 = {editable = true,path = "."} - -[dev-packages] -coverage = "*" -pymagnitude = "*" -black = "*" -hypothesis = "*" - -[requires] -python_version = "3.8" diff --git a/README.md b/README.md index 5d5eb390..6e48fce0 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # quantulum3 - [![Travis master build state](https://app.travis-ci.com/nielstron/quantulum3.svg?branch=master "Travis master build state")](https://app.travis-ci.com/nielstron/quantulum3) + [![CI](https://github.com/nielstron/quantulum3/actions/workflows/ci.yml/badge.svg)](https://github.com/nielstron/quantulum3/actions/workflows/ci.yml) [![Coverage Status](https://coveralls.io/repos/github/nielstron/quantulum3/badge.svg?branch=master)](https://coveralls.io/github/nielstron/quantulum3?branch=master) [![PyPI version](https://badge.fury.io/py/quantulum3.svg)](https://pypi.org/project/quantulum3/) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/quantulum3.svg) @@ -26,12 +26,24 @@ the fork of [sohrabtowfighi](https://github.com/sohrabtowfighi/quantulum). pip install quantulum3 ``` +Or with `uv`: + +```bash +uv add quantulum3 +``` + To install dependencies for using or training the disambiguation classifier, use ```bash pip install quantulum3[classifier] ``` +Or with `uv`: + +```bash +uv add "quantulum3[classifier]" +``` + The disambiguation classifier is used when the parser find two or more units that are a match for the text. ### Usage @@ -210,12 +222,18 @@ Use `quantulum3-training` on the command line, the script `quantulum3/scripts/tr quantulum3-training --lang --data --output ``` +With `uv`, you can run the installed entry point without activating an environment: + +```bash +uv run quantulum3-training --lang --data --output +``` + You can pass multiple training files in to the training command. The output is in joblib format. To use your custom model, pass the path to the trained model file to the parser: -```pyton +```python parser = Parser.parse(, classifier_path="path/to/model.joblib") ``` @@ -346,25 +364,23 @@ All fields are case sensitive. ### Contributing -`dev` build: +`dev` build: -[![Travis dev build state](https://travis-ci.com/nielstron/quantulum3.svg?branch=dev "Travis dev build state")](https://travis-ci.com/nielstron/quantulum3) +[![CI](https://github.com/nielstron/quantulum3/actions/workflows/ci.yml/badge.svg?branch=dev)](https://github.com/nielstron/quantulum3/actions/workflows/ci.yml) [![Coverage Status](https://coveralls.io/repos/github/nielstron/quantulum3/badge.svg?branch=dev)](https://coveralls.io/github/nielstron/quantulum3?branch=dev) If you'd like to contribute follow these steps: 1. Clone a fork of this project into your workspace -2. Run `pip install -e .` at the root of your development folder. -3. `pip install pipenv` and `pipenv shell` -4. Inside the project folder run `pipenv install --dev` -5. Make your changes -6. Run `scripts/format.sh` and `scripts/build.py` from the package root directory. -7. Test your changes with `python3 setup.py test` -(Optional, will be done automatically after pushing) -8. Create a Pull Request when having commited and pushed your changes +2. Run `uv sync --extra classifier` +3. Commit the generated `uv.lock` changes when dependencies change +4. Make your changes +5. Run `scripts/format.sh` and `uv run scripts/build.py` from the package root directory +6. Test your changes with `uv run pytest` +7. Create a Pull Request when you have committed and pushed your changes ### Language support -[![Travis dev build state](https://travis-ci.com/nielstron/quantulum3.svg?branch=language_support "Travis dev build state")](https://travis-ci.com/nielstron/quantulum3) +[![CI](https://github.com/nielstron/quantulum3/actions/workflows/ci.yml/badge.svg?branch=language_support)](https://github.com/nielstron/quantulum3/actions/workflows/ci.yml) [![Coverage Status](https://coveralls.io/repos/github/nielstron/quantulum3/badge.svg?branch=language_support)](https://coveralls.io/github/nielstron/quantulum3?branch=dev) There is a branch for language support, namely `language_support`. diff --git a/pyproject.toml b/pyproject.toml index b0471b7f..de90b452 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,3 +1,93 @@ [build-system] -requires = ["setuptools", "wheel"] -build-backend = "setuptools.build_meta:__legacy__" \ No newline at end of file +requires = ["setuptools>=69", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "quantulum3" +version = "0.9.2" +description = "Extract quantities from unstructured text." +readme = "README.md" +license = "MIT" +authors = [ + { name = "Marco Lagi, nielstron, sohrabtowfighi, grhawk and Rodrigo Castro", email = "n.muendler@web.de" }, +] +requires-python = ">=3.9" +dependencies = [ + "inflect", + "num2words", +] +keywords = [ + "information extraction", + "quantities", + "units", + "measurements", + "nlp", + "natural language processing", + "text mining", + "text processing", +] +classifiers = [ + "Development Status :: 3 - Alpha", + "Intended Audience :: Developers", + "Intended Audience :: Science/Research", + "Natural Language :: English", + "Operating System :: MacOS :: MacOS X", + "Operating System :: Microsoft :: Windows", + "Operating System :: POSIX", + "Programming Language :: Python", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", + "Topic :: Scientific/Engineering", + "Topic :: Text Processing :: Linguistic", +] + +[project.optional-dependencies] +classifier = [ + "joblib", + "numpy", + "scikit-learn", + "scipy", + "stemming", + "wikipedia", +] + +[project.scripts] +quantulum3-training = "quantulum3.scripts.train:main" + +[project.urls] +Homepage = "https://github.com/nielstron/quantulum3" +Repository = "https://github.com/nielstron/quantulum3" +Issues = "https://github.com/nielstron/quantulum3/issues" +Changelog = "https://github.com/nielstron/quantulum3/blob/master/CHANGES" + +[dependency-groups] +dev = [ + "black", + "coverage", + "flake8", + "hypothesis", + "pylint", + "pytest", +] + +[tool.setuptools] +include-package-data = true + +[tool.setuptools.packages.find] +include = ["quantulum3*"] + +[tool.setuptools.package-data] +quantulum3 = ["*.json", "*.joblib", "_lang/**/*.json", "_lang/**/*.txt", "_lang/**/*.joblib"] + +[tool.pytest.ini_options] +testpaths = [ + "quantulum3/tests", + "quantulum3/_lang/en_US/tests", +] + +[tool.uv] +default-groups = ["dev"] diff --git a/quantulum3/__init__.py b/quantulum3/__init__.py index d3eb466e..0792734a 100644 --- a/quantulum3/__init__.py +++ b/quantulum3/__init__.py @@ -1,8 +1,8 @@ """quantulum3 init.""" -VERSION = (0, 9, 2) +from importlib.metadata import version -__version__ = ".".join([str(i) for i in VERSION]) +__version__ = version("quantulum3") __author__ = "Marco Lagi, nielstron, sohrabtowfighi, grhawk and Rodrigo Castro" __author_email__ = "n.muendler@web.de" __copyright__ = "Copyright (C) 2016 Marco Lagi, nielstron,t sohrabtowfighi, " diff --git a/quantulum3/_lang/en_US/parser.py b/quantulum3/_lang/en_US/parser.py index 8a19c76c..84a501bb 100644 --- a/quantulum3/_lang/en_US/parser.py +++ b/quantulum3/_lang/en_US/parser.py @@ -71,11 +71,7 @@ def split_spellout_sequence(text, span): rank = ( 1 if word in units - else 2 - if word in tens - else 3 + scales.index(word) - if word in scales - else 0 + else 2 if word in tens else 3 + scales.index(word) if word in scales else 0 ) # if should start a new seqquence # split on: diff --git a/quantulum3/classifier.py b/quantulum3/classifier.py index 306b0391..3fcfbcdc 100644 --- a/quantulum3/classifier.py +++ b/quantulum3/classifier.py @@ -8,8 +8,7 @@ import multiprocessing import os import warnings - -import pkg_resources +from importlib.metadata import version from . import language, load from .load import cached @@ -26,7 +25,8 @@ USE_CLF = False warnings.warn( - "Classifier dependencies not installed. Run pip install quantulum3[classifier] " + "Classifier dependencies not installed. Run `uv sync --extra classifier` or " + "`pip install quantulum3[classifier]` " "to install them. The classifer helps to dissambiguate units." ) @@ -189,7 +189,7 @@ def train_classifier( _LOGGER.info("Fit SGD Classifier") clf = SGDClassifier(**parameters).fit(matrix, train_target) obj = { - "scikit-learn_version": pkg_resources.get_distribution("scikit-learn").version, + "scikit-learn_version": version("scikit-learn"), "tfidf_model": tfidf_model, "clf": clf, "target_names": target_names, @@ -237,15 +237,16 @@ def __init__(self, classifier_object=None, lang="en_US", classifier_path=None): with open(classifier_path, "rb") as file: classifier_object = joblib.load(file) - cur_scipy_version = pkg_resources.get_distribution("scikit-learn").version - if cur_scipy_version != classifier_object.get( + cur_scikit_learn_version = version("scikit-learn") + if cur_scikit_learn_version != classifier_object.get( "scikit-learn_version" ): # pragma: no cover _LOGGER.warning( "The classifier was built using a different scikit-learn " "version (={}, !={}). The disambiguation tool could behave " "unexpectedly. Consider running classifier.train_classfier()".format( - classifier_object.get("scikit-learn_version"), cur_scipy_version + classifier_object.get("scikit-learn_version"), + cur_scikit_learn_version, ) ) diff --git a/quantulum3/no_classifier.py b/quantulum3/no_classifier.py index 87511ee2..0657b2de 100644 --- a/quantulum3/no_classifier.py +++ b/quantulum3/no_classifier.py @@ -2,6 +2,7 @@ """ :mod:`Quantulum` disambiguation functions when no classifier is available """ + from __future__ import division from . import load diff --git a/quantulum3/scripts/train.py b/quantulum3/scripts/train.py index a2bd3300..1e628775 100755 --- a/quantulum3/scripts/train.py +++ b/quantulum3/scripts/train.py @@ -1,6 +1,6 @@ #!/usr/bin/env python # -*- coding: utf-8 -*- -""" Train the disambiguator """ +"""Train the disambiguator""" import argparse import json diff --git a/quantulum3/tests/test_setup.py b/quantulum3/tests/test_setup.py index eb59636f..ee934c9d 100644 --- a/quantulum3/tests/test_setup.py +++ b/quantulum3/tests/test_setup.py @@ -255,18 +255,22 @@ def load_quantity_tests(ambiguity=True, lang="en_US"): ############################################################################### def load_expand_tests(lang="en_US") -> List[Dict[str, str]]: - with language.topdir(lang).joinpath("tests", "expand.json").open( - "r", encoding="utf-8" - ) as testfile: + with ( + language.topdir(lang) + .joinpath("tests", "expand.json") + .open("r", encoding="utf-8") as testfile + ): tests = json.load(testfile) return tests ############################################################################### def load_error_tests(lang="en_US") -> List[str]: - with language.topdir(lang).joinpath("tests", "errors.json").open( - "r", encoding="utf-8" - ) as testfile: + with ( + language.topdir(lang) + .joinpath("tests", "errors.json") + .open("r", encoding="utf-8") as testfile + ): tests = json.load(testfile) return tests diff --git a/requirements_classifier.txt b/requirements_classifier.txt deleted file mode 100644 index 826dbc3a..00000000 --- a/requirements_classifier.txt +++ /dev/null @@ -1,6 +0,0 @@ -numpy -scipy -scikit-learn -joblib -wikipedia -stemming \ No newline at end of file diff --git a/scripts/download_wiki.py b/scripts/download_wiki.py index 61122063..581ffdcd 100755 --- a/scripts/download_wiki.py +++ b/scripts/download_wiki.py @@ -1,6 +1,6 @@ #!/usr/bin/env python # -*- coding: utf-8 -*- -""" Download new WikiPedia pages """ +"""Download new WikiPedia pages""" import argparse diff --git a/scripts/extract_vere.py b/scripts/extract_vere.py index 4be78533..3998f8a9 100755 --- a/scripts/extract_vere.py +++ b/scripts/extract_vere.py @@ -3,6 +3,7 @@ """ Extract the n nearest neighbours of the ambigous units from the word2vec file """ + import argparse import json import os @@ -66,9 +67,11 @@ def glove_via_magnitude( ) print("Done") - with language.topdir(lang).joinpath("train/similars.json").open( - "w", encoding="utf-8" - ) as file: + with ( + language.topdir(lang) + .joinpath("train/similars.json") + .open("w", encoding="utf-8") as file + ): json.dump(training_set, file, sort_keys=True, indent=4) diff --git a/scripts/format.sh b/scripts/format.sh index 1149c1a3..3ec3e146 100755 --- a/scripts/format.sh +++ b/scripts/format.sh @@ -3,5 +3,5 @@ # Bash script to run before pushing changes to dev branch # Run from git directory root # TODO make this a python file -SOURCES="quantulum3 scripts setup.py" -black ${SOURCES} +SOURCES="quantulum3 scripts" +uv run black ${SOURCES} diff --git a/scripts/to_test.py b/scripts/to_test.py index bfe21a0d..974047f9 100755 --- a/scripts/to_test.py +++ b/scripts/to_test.py @@ -1,6 +1,6 @@ #!/usr/bin/env python # -*- coding: utf-8 -*- -""" Try to create a test case from a sentence """ +"""Try to create a test case from a sentence""" import json import sys diff --git a/setup.py b/setup.py deleted file mode 100644 index 8210f4f6..00000000 --- a/setup.py +++ /dev/null @@ -1,66 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -"""quantulum3 setup file.""" - -import sys - -import quantulum3 - -try: - from setuptools import find_packages, setup -except ImportError: - print("Please install or upgrade setuptools or pip to continue") - sys.exit(1) - -with open("requirements_classifier.txt") as f: - classifier_reqs = f.read().splitlines() - -setup( - name="quantulum3", - packages=find_packages(), - package_data={"": ["*.json", "*.joblib"]}, - extras_require={"classifier": classifier_reqs}, - description="Extract quantities from unstructured text.", - long_description=open("README.md").read(), - long_description_content_type="text/markdown", - download_url="https://github.com/nielstron/quantulum3/tarball/master", - version=quantulum3.__version__, - url=quantulum3.__url__, - author=quantulum3.__author__, - author_email=quantulum3.__author_email__, - license=quantulum3.__license__, - test_suite="quantulum3.tests", - keywords=[ - "information extraction", - "quantities", - "units", - "measurements", - 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classifier_object=None, lang="en_US", classifier_path=None): if not classifier_object: if classifier_path is None: classifier_path = language.topdir(lang).joinpath("clf.joblib") - with open(classifier_path, "rb") as file: - classifier_object = joblib.load(file) + try: + with open(classifier_path, "rb") as file: + classifier_object = joblib.load(file) + except FileNotFoundError: + warnings.warn( + "Classifier model not found at {}. Falling back to heuristic " + "disambiguation.".format(classifier_path) + ) + return cur_scikit_learn_version = version("scikit-learn") if cur_scikit_learn_version != classifier_object.get( @@ -254,6 +261,10 @@ def __init__(self, classifier_object=None, lang="en_US", classifier_path=None): self.classifier = classifier_object["clf"] self.target_names = classifier_object["target_names"] + @property + def loaded(self): + return self.tfidf_model is not None and self.classifier is not None + @cached def classifier(lang: str = "en_US", classifier_path: str = None) -> Classifier: @@ -277,6 +288,10 @@ def disambiguate_entity(key, text, lang="en_US", classifier_path=None): new_ent = next(iter(entities_.derived[key])) if len(entities_.derived[key]) > 1: classifier_: Classifier = classifier(lang, classifier_path) + if not classifier_.loaded: + return no_classifier.disambiguate_no_classifier( + entities_.derived[key], text, lang + ) transformed = classifier_.tfidf_model.transform([clean_text(text, lang)]) scores = classifier_.classifier.predict_proba(transformed).tolist()[0] @@ -315,6 +330,8 @@ def disambiguate_unit(unit, text, lang="en_US", classifier_path=None): if len(new_unit) > 1: classifier_: Classifier = classifier(lang, classifier_path) + if not classifier_.loaded: + return no_classifier.disambiguate_no_classifier(new_unit, text, lang) transformed = classifier_.tfidf_model.transform([clean_text(text, lang)]) scores = classifier_.classifier.predict_proba(transformed).tolist()[0] diff --git a/quantulum3/tests/test_no_classifier.py b/quantulum3/tests/test_no_classifier.py index 8df70124..75197ab5 100644 --- a/quantulum3/tests/test_no_classifier.py +++ b/quantulum3/tests/test_no_classifier.py @@ -6,6 +6,7 @@ import os import unittest +from pathlib import Path from .. import classifier as clf from .. import parser as p @@ -71,6 +72,14 @@ def test_parse_no_classifier(self, lang="en_US"): ), ) + def test_missing_classifier_file_falls_back(self): + """Missing classifier artifacts should not crash parsing.""" + clf.USE_CLF = True + result = clf.disambiguate_unit( + "C", "0C", lang="en_us", classifier_path=Path("missing-clf.joblib") + ) + self.assertIsNotNone(result) + ############################################################################### if __name__ == "__main__": # pragma: no cover From 864363ce4b6e68433731556c93df3642a30f45a3 Mon Sep 17 00:00:00 2001 From: Niels Date: Mon, 9 Mar 2026 23:04:31 +0100 Subject: [PATCH 3/4] Handle large spoken quantities --- quantulum3/_lang/en_US/load.py | 5 ++++- quantulum3/tests/test_classes.py | 5 +++++ 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/quantulum3/_lang/en_US/load.py b/quantulum3/_lang/en_US/load.py index ecdd153a..62afd05c 100644 --- a/quantulum3/_lang/en_US/load.py +++ b/quantulum3/_lang/en_US/load.py @@ -25,7 +25,10 @@ def pluralize(singular, count=None): def number_to_words(number): - return PLURALS.number_to_words(number) + try: + return PLURALS.number_to_words(number) + except inflect.NumOutOfRangeError: + return "{:g}".format(number) ############################################################################### diff --git a/quantulum3/tests/test_classes.py b/quantulum3/tests/test_classes.py index b8b8b624..263afc66 100644 --- a/quantulum3/tests/test_classes.py +++ b/quantulum3/tests/test_classes.py @@ -98,3 +98,8 @@ def test_quantity_from_json(self): quantity = Quantity.from_json(quantity_json) self.assertEqual(quantity, self.q) self.assertIsInstance(quantity, Quantity) + + def test_quantity_to_spoken_large_number(self): + quantity = self.q.with_vals(value=1e100, uncertainty=None) + spoken = quantity.to_spoken() + self.assertIsInstance(spoken, str) From ba35bcd2c2d5aa12d8d1d6b068805ffd9f28eee5 Mon Sep 17 00:00:00 2001 From: Niels Date: Mon, 9 Mar 2026 23:15:20 +0100 Subject: [PATCH 4/4] Run build script in publish workflow and regenerate classifier artifact - Add CI steps to sync extras and run `scripts/build.py` before `uv build` - Update build script to regenerate `common-words.json` and `clf.joblib` - Clarify README instructions that build regenerates these generated assets --- .github/workflows/publish.yml | 6 ++++++ README.md | 2 +- scripts/build.py | 9 +++++++-- 3 files changed, 14 insertions(+), 3 deletions(-) diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml index 2e63f93d..e3d6e731 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -18,6 +18,12 @@ jobs: with: python-version: "3.13" + - name: Sync dependencies + run: uv sync --extra classifier + + - name: Build generated assets + run: uv run python scripts/build.py + - name: Build distributions run: uv build diff --git a/README.md b/README.md index 6e48fce0..69fbce4c 100644 --- a/README.md +++ b/README.md @@ -374,7 +374,7 @@ If you'd like to contribute follow these steps: 2. Run `uv sync --extra classifier` 3. Commit the generated `uv.lock` changes when dependencies change 4. Make your changes -5. Run `scripts/format.sh` and `uv run scripts/build.py` from the package root directory +5. Run `scripts/format.sh` and `uv run scripts/build.py` from the package root directory. The build step regenerates `common-words.json` and `clf.joblib`. 6. Test your changes with `uv run pytest` 7. Create a Pull Request when you have committed and pushed your changes diff --git a/scripts/build.py b/scripts/build.py index 5d6f14ae..182d2900 100755 --- a/scripts/build.py +++ b/scripts/build.py @@ -5,6 +5,7 @@ import os from io import open +from quantulum3 import classifier from quantulum3._lang.en_US import load """ @@ -12,8 +13,9 @@ Make sure to run this from the project root folder Currently this includes: - - quantulum3/common-words.txt - - quantulum3/units.json + - quantulum3/_lang/en_US/common-words.txt + - quantulum3/_lang/en_US/common-words.json + - quantulum3/_lang/en_US/clf.joblib """ if __name__ == "__main__": @@ -22,3 +24,6 @@ build_file = os.path.join(load.TOPDIR, "common-words.json") with open(build_file, "w", encoding="utf-8") as file: json.dump(words, file, sort_keys=True, separators=(",", ":")) + + # Rebuild the packaged classifier artifact used for disambiguation. + classifier.train_classifier(store=True, lang="en_US")