python-app.yml

# 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@v4

      # 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@v5
        with:
          python-version: 3.9.18

      # 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@v4
        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@v3
        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 .