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Formatting updates. Adds ruff configuration, enforces line length. … #33

Formatting updates. Adds ruff configuration, enforces line length. …

Formatting updates. Adds ruff configuration, enforces line length. … #33

Workflow file for this run

# 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