featureforest/.github/workflows/setup_test_publish.yml at e1ed0dc71cd6fd9e9429bbd157d7156849dc7361 · juglab/featureforest · GitHub

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name: tests

on:
  push:
    branches:
      - main
    tags:
      - "v*" # Push events to matching v*, i.e. v1.0, v20.15.10
  pull_request:
    branches:
      - main

jobs:
  setup:
    name: Setup and Test
    runs-on: ${{ matrix.platform }}

    defaults:
      run:
        shell: bash -el {0}

    strategy:
      fail-fast: false
      matrix:
        platform: [ubuntu-latest, windows-latest, macos-latest]
        python-version: ["3.10"]

    steps:
      - uses: actions/checkout@v4
      # these libraries enable testing on Qt on linux
      - uses: tlambert03/setup-qt-libs@v1
      - uses: conda-incubator/setup-miniconda@v3
        with:
          auto-update-conda: true
          python-version: ${{ matrix.python-version }}
      - name: create featureforest environment
        run: conda create -n featureforest -y python=3.10
      - name: install torch & torchvision
        run: |
          conda activate featureforest
          python -m pip install light-the-torch
          ltt install 'torch>=2.5.1' 'torchvision>=0.20.1'
      - name: install dependencies
        run: |
          conda activate featureforest
          python -m pip install -U pip
          python -m pip install -r ./requirements.txt
      - name: install featureforest
        run: |
          conda activate featureforest
          python -m pip install git+https://github.com/juglab/featureforest.git

        # run: |
        #   if ["$RUNNER_OS" == "Windows"]; then
        #     ./install.bat
        #   else
        #     chmod +x ./install.sh
        #     ./install.sh
        #   fi
        # shell: bash {0}
      - name: conda info
        run: |
          conda activate featureforest
          conda info

      - name: more info
        run: |
          conda activate featureforest
          echo $PATH
          echo "$(which conda)"
          echo "$(which python)"

      - name: pip list
        run: |
          conda activate featureforest
          pip list

      # strategy borrowed from vispy for installing opengl libs on windows
      - name: Install Windows OpenGL
        if: runner.os == 'Windows'
        run: |
          conda activate featureforest
          git clone --depth 1 https://github.com/pyvista/gl-ci-helpers.git
          powershell gl-ci-helpers/appveyor/install_opengl.ps1

      - name: Run Tests
        # uses: aganders3/headless-gui@v2.2
        # with:
        #   shell: bash
        run: |
          conda activate featureforest
          python -m pip install .[dev]
          pytest -v --color=yes --cov=featureforest --cov-report=xml -m "not slow"

      - name: Coverage
        uses: codecov/codecov-action@v4
        with:
          token: ${{ secrets.CODECOV_TOKEN }} # required
          version: v0.7.3
          verbose: true # optional (default = false)

  publish:
    # this will run when you have tagged a commit, starting with "v*"
    # and requires that you have put your twine API key in your
    # github secrets (see readme for details)
    needs: [setup]
    runs-on: ubuntu-latest

    if: contains(github.ref, 'tags')

    permissions:
      # IMPORTANT: this permission is mandatory for trusted publishing
      id-token: write

      # This permission allows writing releases
      contents: write

    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0

      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.10"

      - name: Build
        run: |
          python -m pip install build
          python -m build

      - name: Publish to PyPI
        uses: pypa/gh-action-pypi-publish@release/v1

      - uses: softprops/action-gh-release@v2
        with:
          generate_release_notes: true