Add GitHub Actions workflow for Python tests with Poetry #7
Workflow file for this run
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| # Source: https://jacobian.org/til/github-actions-poetry/ | |
| # Run this job on pushes to `main`, and for pull requests. If you don't specify | |
| # `branches: [main], then this actions runs _twice_ on pull requests, which is | |
| # annoying. | |
| # Name of the workflow | |
| name: Python Unit Tests with Poetry | |
| on: | |
| push: | |
| branches: [main] | |
| pull_request: | |
| jobs: | |
| test: | |
| runs-on: ubuntu-latest | |
| # Use Docker container to avoid GDAL dependency issues | |
| container: | |
| image: osgeo/gdal:ubuntu-small-latest | |
| steps: | |
| - uses: actions/checkout@v2 | |
| # Setup Python version specified | |
| - uses: actions/setup-python@v2 | |
| with: | |
| python-version: '3.10' | |
| # Cache the installation of Poetry | |
| - name: cache poetry install | |
| uses: actions/cache@v2 | |
| with: | |
| path: ~/.local | |
| key: poetry-1.6.1-0 | |
| # Install Poetry using snok/install-poetry action | |
| - uses: snok/install-poetry@v1 | |
| with: | |
| version: 1.6.1 | |
| virtualenvs-create: true | |
| virtualenvs-in-project: true | |
| # Cache your project dependencies. This caches the virtual environment | |
| # to speed up builds by caching the dependencies | |
| - name: cache deps | |
| id: cache-deps | |
| uses: actions/cache@v2 | |
| with: | |
| path: ./.venv | |
| key: ${{ runner.os }}-venv-${{ hashFiles('**/poetry.lock') }} | |
| # Install dependencies with Poetry, avoiding caching of the project itself | |
| # The `if` statement ensures this only runs on a cache miss | |
| - run: poetry install --no-interaction --no-root | |
| if: steps.cache-deps.outputs.cache-hit != 'true' | |
| # Install the project using Poetry to fully-exercise pyproject.toml | |
| # This is necessary for projects that need to be installed, such as | |
| # Python packages | |
| - run: poetry install --no-interaction | |
| # Run tests with pytest as configured in pyproject.toml | |
| # This assumes that your pytest configuration is located in pyproject.toml | |
| - run: poetry run pytest |