Improved checkduplicates test and restructure project #115
Workflow file for this run
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on: | |
# Triggers the workflow on push or pull request events but only for the master branch | |
push: | |
branches: [ master ] | |
pull_request: | |
# Allows you to run this workflow manually from the Actions tab | |
workflow_dispatch: | |
# A workflow run is made up of one or more jobs that can run sequentially or in parallel | |
jobs: | |
test: | |
name: Test code and coverage | |
runs-on: ubuntu-latest | |
strategy: | |
fail-fast: false | |
matrix: | |
python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"] | |
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. | |
- name: Set up Python ${{ matrix.python-version }} | |
uses: actions/setup-python@v5 | |
with: | |
python-version: ${{ matrix.python-version }} | |
allow-prereleases: true | |
# Cache the installation of Poetry itself, e.g. the next step. This prevents the workflow | |
# from installing Poetry every time, which can be slow. Note the use of the Poetry version | |
# number in the cache key, and the "-0" suffix: this allows you to invalidate the cache | |
# manually if/when you want to upgrade Poetry, or if something goes wrong. This could be | |
# mildly cleaner by using an environment variable, but I don't really care. | |
- name: cache poetry install | |
uses: actions/cache@v4 | |
with: | |
path: ~/.local | |
key: poetry-1.1.12-0 | |
# Install Poetry. You could do this manually, or there are several actions that do this. | |
# `snok/install-poetry` seems to be minimal yet complete, and really just calls out to | |
# Poetry's default install script, which feels correct. I pin the Poetry version here | |
# because Poetry does occasionally change APIs between versions and I don't want my | |
# actions to break if it does. | |
# | |
# The key configuration value here is `virtualenvs-in-project: true`: this creates the | |
# venv as a `.venv` in your testing directory, which allows the next step to easily | |
# cache it. | |
- uses: snok/install-poetry@v1 | |
with: | |
version: 1.5.1 | |
virtualenvs-create: true | |
virtualenvs-in-project: true | |
# Cache your dependencies (i.e. all the stuff in your `pyproject.toml`). Note the cache | |
# key: if you're using multiple Python versions, or multiple OSes, you'd need to include | |
# them in the cache key. I'm not, so it can be simple and just depend on the poetry.lock. | |
- name: cache deps | |
id: cache-deps | |
uses: actions/cache@v4 | |
with: | |
path: .venv | |
key: pydeps-${{ 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 | |
# run the tests and check for 100% coverage | |
- run: poetry run pytest . --cov=randfacts --cov-report=term-missing --cov-report=xml | |
# check for code style errors | |
- run: poetry run ruff check | |
# disable code format checking until docstrings are sorted out | |
# https://github.com/astral-sh/ruff/issues/8430 | |
# - run: poetry run ruff format --check | |
- name: Upload coverage reports to Codecov | |
uses: codecov/[email protected] | |
with: | |
token: ${{ secrets.CODECOV_TOKEN }} |