Updates package resource loading to use files() instead of soon-to-be… #51
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| # This workflow will install Python dependencies, run tests and lint with a single version of Python | |
| # For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python | |
| name: NHL-API-PY | |
| on: | |
| push: | |
| branches: [ "main" ] | |
| pull_request: | |
| branches: [ "main" ] | |
| permissions: | |
| contents: read | |
| jobs: | |
| test: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v2 | |
| # If you wanted to use multiple Python versions, you'd have specify a matrix in the job and | |
| # reference the matrixe python version here. | |
| - uses: actions/setup-python@v2 | |
| with: | |
| python-version: 3.10.6 | |
| # Cache the installation of Poetry itself, e.g. the next step. This prevents the workflow | |
| # from installing Poetry every time, which can be slow. Note the use of the Poetry version | |
| # number in the cache key, and the "-0" suffix: this allows you to invalidate the cache | |
| # manually if/when you want to upgrade Poetry, or if something goes wrong. This could be | |
| # mildly cleaner by using an environment variable, but I don't really care. | |
| - name: cache poetry install | |
| uses: actions/cache@v2 | |
| with: | |
| path: ~/.local | |
| key: poetry-1.5.1-0 | |
| # Install Poetry. You could do this manually, or there are several actions that do this. | |
| # `snok/install-poetry` seems to be minimal yet complete, and really just calls out to | |
| # Poetry's default install script, which feels correct. I pin the Poetry version here | |
| # because Poetry does occasionally change APIs between versions and I don't want my | |
| # actions to break if it does. | |
| # | |
| # The key configuration value here is `virtualenvs-in-project: true`: this creates the | |
| # venv as a `.venv` in your testing directory, which allows the next step to easily | |
| # cache it. | |
| - uses: snok/install-poetry@v1 | |
| with: | |
| version: 1.5.1 | |
| virtualenvs-create: true | |
| virtualenvs-in-project: true | |
| # Cache your dependencies (i.e. all the stuff in your `pyproject.toml`). Note the cache | |
| # key: if you're using multiple Python versions, or multiple OSes, you'd need to include | |
| # them in the cache key. I'm not, so it can be simple and just depend on the poetry.lock. | |
| - name: cache deps | |
| id: cache-deps | |
| uses: actions/cache@v2 | |
| with: | |
| path: .venv | |
| key: pydeps-${{ hashFiles('**/poetry.lock') }} | |
| # Install dependencies. `--no-root` means "install all dependencies but not the project | |
| # itself", which is what you want to avoid caching _your_ code. 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' | |
| # Now install _your_ project. This isn't necessary for many types of projects -- particularly | |
| # things like Django apps don't need this. But it's a good idea since it fully-exercises the | |
| # pyproject.toml and makes that if you add things like console-scripts at some point that | |
| # they'll be installed and working. | |
| - run: poetry install --no-interaction | |
| # And finally run tests. I'm using pytest and all my pytest config is in my `pyproject.toml` | |
| # so this line is super-simple. But it could be as complex as you need. | |
| - run: poetry run pytest | |
| # run a check for black | |
| - name: poetry run black . --check | |
| run: poetry run black . --check | |
| # run a lint check with ruff | |
| - name: poetry run ruff . | |
| run: poetry run ruff . |