shap--shap/.github/workflows/run_tests.yml

name: tests

on:
  workflow_dispatch:
  push:
    branches:
      - master
  pull_request:
    branches:
      - master
    paths:
      - "shap/**"
      - "tests/**"
      - "data/**"
      - "javascript/**"  # Include JS changes that affect bundle.js
      - ".github/workflows/run_tests.yml"
      - "pyproject.toml"
      - "CMakeLists.txt"

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  # Cancel only PR intermediate builds
  cancel-in-progress: ${{ startsWith(github.ref, 'refs/pull/') }}

jobs:
  # we need this test since we run into 403 errors on MacOS, see GH #4179
  prepare_data:
    runs-on: ubuntu-latest
    timeout-minutes: 10
    steps:
      - uses: actions/checkout@v4
      - name: Set up Python 3.12
        uses: actions/setup-python@v5
        with:
          python-version: "3.12"
      - name: Install uv
        uses: astral-sh/setup-uv@v7
      - name: Install dependencies for dataset download
        run: |
          uv pip install --system . --group download-datasets
      - name: Pre-download datasets
        run: python -P tests/datasets_to_cache.py
      - name: Create unified cache directory
        run: |
          mkdir -p /tmp/test_data_cache
          cp -r ~/scikit_learn_data /tmp/test_data_cache/ || true
          cp -r shap/cached_data /tmp/test_data_cache/ || true
          ls -la /tmp/test_data_cache/
      - name: Upload cached datasets
        uses: actions/upload-artifact@v4
        with:
          name: test-data-cache
          path: /tmp/test_data_cache
          retention-days: 1

  run_tests:
    needs: prepare_data
    strategy:
      matrix:
        os: ["ubuntu-latest"]
        # The total number of matrix jobs should match codecov.yml `after_n_builds`.
        python-version: ["3.12",
                         "3.13",
                         "3.14"
                         ]
        extras: ["test"]
        include:
          # Test on windows/mac, just one job each
          - os: windows-latest
            python-version: "3.13"
            extras: "test"
          - os: macos-latest
            python-version: "3.13"
            extras: "test"
          # Run tests with only the core dependencies, to ensure we
          # cover the latest version of numpy/pandas. See GH dsgibbons#46
          - os: ubuntu-latest
            python-version: "3.13"
            extras: "test-core"
      fail-fast: false
    runs-on: ${{ matrix.os }}
    timeout-minutes: 40
    steps:
      - uses: actions/checkout@v4
      - uses: dorny/paths-filter@v3
        id: filter
        with:
          filters: |
            js:
              - 'javascript/**'
      - name: Set up Python ${{ matrix.python-version }}
        uses: actions/setup-python@v5
        with:
          python-version: ${{ matrix.python-version }}
      # Build JavaScript bundle if JS files have changed
      - name: Set up Node.js
        if: steps.filter.outputs.js == 'true'
        uses: actions/setup-node@v3
        with:
          node-version: lts/Hydrogen
      - name: Build JavaScript bundle conditionally
        if: steps.filter.outputs.js == 'true'
        shell: bash
        run: |
          cd javascript
          npm ci
          npm run build
          cp build/bundle.js ../shap/plots/resources/bundle.js
      - name: Install libomp (macOS)
        if: runner.os == 'macOS'
        run: |
          brew install libomp
          # Set DYLD_LIBRARY_PATH to avoid OpenMP conflicts, see https://github.com/unit8co/darts/pull/3050
          _libomp_path=$(brew --prefix libomp 2>/dev/null)/lib
          echo "DYLD_LIBRARY_PATH=$_libomp_path:$DYLD_LIBRARY_PATH" >> $GITHUB_ENV
          unset _libomp_path
      - name: Install uv
        uses: astral-sh/setup-uv@v7
      - name: Install dependencies
        # Do regular install NOT editable install: see GH #3020
        run: |
          uv pip install --system . --group ${{matrix.extras}} --group plots
      - name: Download pre-cached datasets
        uses: actions/download-artifact@v4
        with:
          name: test-data-cache
          path: /tmp/test_data_cache
      - name: Restore datasets to correct locations
        shell: bash
        run: |
          # Restore sklearn data
          if [ "$RUNNER_OS" == "Windows" ]; then
            cp -r /d/tmp/test_data_cache/scikit_learn_data ~/scikit_learn_data || true
          else
            cp -r /tmp/test_data_cache/scikit_learn_data ~/scikit_learn_data || true
          fi

          # Restore shap cached data to the installed package location
          SHAP_CACHE_DIR=$(python -P -c "import shap, os; print(os.path.join(os.path.dirname(shap.__file__), 'cached_data'))")
          mkdir -p "$SHAP_CACHE_DIR"

          if [ "$RUNNER_OS" == "Windows" ]; then
            cp -r /d/tmp/test_data_cache/cached_data/* "$SHAP_CACHE_DIR/" 2>/dev/null || true
          else
            cp -r /tmp/test_data_cache/cached_data/* "$SHAP_CACHE_DIR/" 2>/dev/null || true
          fi

          echo "Sklearn data:"
          ls -la ~/scikit_learn_data/ 2>/dev/null || echo "No sklearn data"
          echo "Shap cache data:"
          ls -la "$SHAP_CACHE_DIR" 2>/dev/null || echo "No shap data"
      - name: Test with pytest
        # Ensure we avoid adding current working directory to sys.path:
        # - Use "pytest" over "python -m pytest"
        # - Use "append" import mode rather than default "prepend"
        run: >
          pytest --durations=20
          --cov --cov-report=xml
          --mpl-generate-summary=html --mpl-results-path=./mpl-results
          --import-mode=append
      - name: Upload mpl test report
        if: failure()
        uses: actions/upload-artifact@v4
        with:
          name: mpl-results-${{ matrix.python-version }}-${{ runner.os }}-${{ matrix.extras }}
          path: mpl-results/
          if-no-files-found: ignore
      - name: Upload coverage to Codecov
        uses: codecov/codecov-action@v4
        with:
          token: ${{ secrets.CODECOV_TOKEN }}

  test_oldest_supported_numpy:
    # Package is built with numpy 2.X
    # This job is recommended by https://numpy.org/doc/stable/dev/depending_on_numpy.html#numpy-2-0-specific-advice
    # The "oldest supported numpy" is determined by SPEC 0:
    # https://scientific-python.org/specs/spec-0000/
    name: run tests (oldest supported numpy)
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Set up Python 3.12
        uses: actions/setup-python@v5
        with:
          python-version: 3.12
      - name: Install uv
        uses: astral-sh/setup-uv@v7
      - name: Install dependencies
        run: |
          uv pip install --system numpy==2.0 . --group test-core --group plots
      - name: Test with pytest
        run: pytest --durations=20 --import-mode=append

  run_mypy:
    # Run mypy on the latest Python version
    name: run mypy
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Set up Python 3.13
        uses: actions/setup-python@v5
        with:
          python-version: 3.13
      - name: Install uv
        uses: astral-sh/setup-uv@v7
      - name: Install dependencies
        run: |
          uv pip install --system . --group test-core
      - name: Run mypy
        run: mypy shap tests