test.yml

name: Test Python code

on:
  pull_request:
    branches:
      - main
  push:
    branches:
      - main

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: True

jobs:
  test:
    strategy:
      fail-fast: false
      matrix:
        os: [ubuntu-latest]
        python-version: ["3.8", "3.10", "3.11"]
        channel-priority: [strict]
        envfile: [".github/environment.yml"]
        include:
          - python-version: "3.12"
            os: macos-latest
          - python-version: "3.12"
            os: windows-latest
          - python-version: "3.12"
            os: ubuntu-latest
            channel-priority: flexible
          - os: ubuntu-latest
            python-version: "3.7"
            envfile: ".github/environment-minimal.yml"
            channel-priority: "flexible"
            name: "Minimal dependencies"

    runs-on: ${{ matrix.os }}
    steps:
      - uses: actions/checkout@v4

      - name: Cache conda packages
        uses: actions/cache@v4
        with:
          path: ~/conda_pkgs_dir
          key: ${{ runner.os }}-${{ matrix.python-version }}-${{ hashFiles( matrix.envfile ) }}

      - name: Create conda environment
        uses: conda-incubator/setup-miniconda@v3
        with:
          python-version: ${{ matrix.python-version }}
          auto-activate-base: false
          channel-priority: ${{ matrix.channel-priority }}
          environment-file: ${{ matrix.envfile }}
          # Disabling bz2 to get more recent dependencies.
          # NOTE: this breaks cache support, so CI will be slower.
          use-only-tar-bz2: False # IMPORTANT: This needs to be set for caching to work properly!

      - name: Install package in development mode
        shell: bash -l {0}
        run: python -m pip install --upgrade-strategy=only-if-needed -e .[display,tests]

      - name: Log installed packages for debugging
        shell: bash -l {0}
        run: |
          conda info -a
          conda list

      - name: Show libraries in the system on which NumPy was built
        shell: bash -l {0}
        run: python -c "import numpy; numpy.show_config()"

      - name: Show libraries in the system on which SciPy was built
        shell: bash -l {0}
        run: python -c "import scipy; scipy.show_config()"

      - name: Run unit tests
        shell: bash -l {0}
        run: pytest
        working-directory: tests

      - name: Upload coverage to Codecov
        uses: codecov/codecov-action@v4
        with:
          token: ${{ secrets.CODECOV_TOKEN }}
          files: ./coverage.xml
          flags: unittests
          env_vars: OS,PYTHON
          name: codecov-umbrella
          fail_ci_if_error: true
          verbose: true