convert to using uv

Author: hobu

.github/environment.yml

@@ -7,8 +7,7 @@ dependencies:
   - libpdal-core
   - compilers
   - python
-  - pip
-  - scikit-build-core
   - pybind11
   - cmake
   - ninja
+  - uv

.github/workflows/build.yml

@@ -36,6 +36,11 @@ jobs:
     - name: Check out
       uses: actions/checkout@v4
 
+    - name: Install uv
+      uses: astral-sh/setup-uv@v8
+      with:
+        enable-cache: true
+
     - name: Setup micromamba
       uses: conda-incubator/setup-miniconda@v3
       with:
@@ -49,12 +54,14 @@ jobs:
     - name: Install Numpy ${{ matrix.numpy-version }}
       shell: bash -l {0}
       run: |
-        mamba install numpy=${{ matrix.numpy-version }}
+        PYTHON=$(python -c 'import sys; print(sys.executable)')
+        uv pip install --python "$PYTHON" --reinstall "numpy==${{ matrix.numpy-version }}.*"
 
     - name: Install
       shell: bash -l {0}
       run: |
-        pip install . -Ccmake.define.WITH_TESTS=ON .
+        PYTHON=$(python -c 'import sys; print(sys.executable)')
+        uv pip install --python "$PYTHON" --no-build-isolation -Ccmake.define.WITH_TESTS=ON .
 
     - name: Test Unix
       shell: bash -l {0}
@@ -76,8 +83,8 @@ jobs:
       run: |
         sudo apt-get update -y
         sudo apt-get install pkg-config libssl-dev -y
-        python -m pip install build pipx twine
-        pipx run build --sdist -Ccmake.define.CMAKE_BUILD_WITH_INSTALL_RPATH=ON
+        PYTHON=$(python -c 'import sys; print(sys.executable)')
+        uv build --python "$PYTHON" --sdist -Ccmake.define.CMAKE_BUILD_WITH_INSTALL_RPATH=ON
 
     - name: Test Windows
       if: matrix.os == 'windows-latest'
@@ -93,5 +100,3 @@ jobs:
         pdal --drivers
         $PDAL_DRIVER_PATH/pdal_filters_python_test$EXT
         $PDAL_DRIVER_PATH/pdal_io_numpy_test$EXT
-
-

.github/workflows/release.yml

@@ -22,7 +22,12 @@ jobs:
       fail-fast: true
 
     steps:
-    - uses: actions/checkout@v3
+    - uses: actions/checkout@v4
+    - name: Install uv
+      uses: astral-sh/setup-uv@v8
+      with:
+        enable-cache: true
+
     - name: Setup micromamba
       uses: conda-incubator/setup-miniconda@v3
       with:
@@ -33,11 +38,11 @@ jobs:
         auto-update-conda: true
         environment-file: .github/environment.yml
 
-    - name: Install dependencies
+    - name: Build source distribution
       shell: bash -l {0}
       run: |
-        python -m pip install build pipx twine
-        pipx run build --sdist -Ccmake.define.CMAKE_BUILD_WITH_INSTALL_RPATH=ON
+        PYTHON=$(python -c 'import sys; print(sys.executable)')
+        uv build --python "$PYTHON" --sdist -Ccmake.define.CMAKE_BUILD_WITH_INSTALL_RPATH=ON
 
     - name: Publish package distributions to PyPI
       if: github.event_name == 'release' && github.event.action == 'published'

.gitignore

@@ -1,7 +1,11 @@
 .vscode/
+.venv/
 _skbuild/
 MANIFEST
+build/
+build-*/
 dist/
+wheels/
 *.egg-info/
 *.o
 *.so

README.rst

@@ -6,7 +6,7 @@ PDAL Python plugins allow you to process data with PDAL into
 `Numpy <http://www.numpy.org/>`__ arrays.
 They support embedding Python in PDAL pipelines with the
 `readers.numpy <https://pdal.org/stages/readers.numpy.html>`__ and
-`filters.python <https://pdal.orgo/stages/filters.python.html>`__ stages.
+`filters.python <https://pdal.org/stages/filters.python.html>`__ stages.
 
 Installation
 --------------------------------------------------------------------------------
@@ -18,7 +18,9 @@ PDAL Python plugins are installable via PyPI:
 
 .. code-block::
 
-    pip install pdal-plugins
+    uv pip install pdal-plugins
+
+If you are not using uv, :code:`pip install pdal-plugins` works too.
 
 GitHub
 ................................................................................
@@ -33,5 +35,47 @@ Requirements
 
 * PDAL 2.6+
 * Python >=3.9
-* Numpy (eg :code:`pip install numpy`)
-* scikit-build-core (eg :code:`pip install scikit-build-core`)
+* uv
+* Numpy
+* scikit-build-core
+* pybind11
+* CMake and Ninja
+
+Development
+================================================================================
+
+The project uses uv for Python package installation and builds, with
+scikit-build-core driving the CMake build.
+
+Create a development environment with the same dependencies used by CI:
+
+.. code-block:: bash
+
+    mamba env create -f .github/environment.yml
+    mamba activate test
+
+Install the plugins into that environment and build the C++ tests:
+
+.. code-block:: bash
+
+    PYTHON=$(python -c 'import sys; print(sys.executable)')
+    uv pip install --python "$PYTHON" --no-build-isolation -Ccmake.define.WITH_TESTS=ON .
+
+Run the tests from the scikit-build output directory:
+
+.. code-block:: bash
+
+    export PYTHONHOME=$CONDA_PREFIX
+    export PATH=$CONDA_PREFIX/bin:$PATH
+    export WHEEL_DIR=$(python -m scikit_build_core.builder.wheel_tag)
+    export PDAL_DRIVER_PATH=$(pwd)/build/$WHEEL_DIR/Release
+    pdal --drivers
+    $PDAL_DRIVER_PATH/pdal_filters_python_test
+    $PDAL_DRIVER_PATH/pdal_io_numpy_test
+
+Build source and wheel distributions with uv:
+
+.. code-block:: bash
+
+    PYTHON=$(python -c 'import sys; print(sys.executable)')
+    uv build --python "$PYTHON"

pyproject.toml

@@ -22,6 +22,7 @@ classifiers = [
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
     "Topic :: Scientific/Engineering :: GIS",
 ]
 
@@ -34,6 +35,17 @@ version="1.6.7"
 [project.optional-dependencies]
 test = [ ]
 
+[dependency-groups]
+build = [
+  "numpy >= 1.22",
+  "pybind11[global]",
+  "scikit-build-core",
+]
+test = [ ]
+
+[tool.uv]
+package = true
+
 [tool.setuptools]
 package-dir = {"" =  "src"}
 zip-safe = false