Cookiecutter PyPackage

Cookiecutter template for a Python Package.

Features

• Project for Python 3.7+.
• Testing with Pytest using Github actions.
• Packaging powered by [poetry]
• Follows the [black] style guide with [flake8] and [isort].
• Comes with [pre-commit] hook config for black, isort, flake8 and pyupgrade.
• Style guide enforced on CI.
• Dependencies kept up to date by [Renovate].
• Follow the [all-contributors] specification.
• Follow to [the conventional commits][conventional-commits] specification.
• Automated releasing using [python-semantic-release][python-semantic-release].
• Documentation configured with Sphinx and [MyST Parser][myst].
• Standardised list of GitHub labels synchronised on push to master using [the labels CLI][pylabels].

Usage

Generate a new project with:

cookiecutter https://github.com/browniebroke/cookiecutter-pypackage

This will prompt you for a few questions and create new directory with the name you used as project slug.

Start developing

The project uses [Poetry] for dependencies management and packaging. Make sure you have it installed in your development machine. To install the development dependencies in a virtual environment, type:

poetry install

This will also generate a poetry.lock file, you should track this file in version control. To execute the test suite, call pytest inside Poetry's virtual environment via poetry run:

poetry run pytest

Check out the [Poetry] documentation for more information on the available commands.

GitHub Actions

When you first push to GitHub, it'll start a ci GitHub workflow that you can see in the "Actions" tab of your repository. This workflow runs a couple of jobs:

• The test job will run your test suite with Pytest against all Python version 3.9
• A few things will run in the lint job:
  • black in check mode
  • isort in check mode
  • flake8
  • pyupgrade for Python 3.9

A labels workflow will also run and synchronise the GitHub labels based on the .github/labels.toml file.

Secrets

The workflows need [a few secrets][gh-secrets] to be setup in your GitHub repository:

• PYPI_TOKEN to publish releases to [PyPI][pypi]. This one should be created as release environment secret.
• GH_PAT a [personal access token (PAT) with the repo scope][create-pat] for opening pull requests and updating the repository topics. This is used by the hacktoberfest workflow.
• CODECOV_TOKEN to upload coverage data to [codecov.io][codecov] in the Test workflow (optional for public repos).

If you have the GitHub CLI installed and chose to set up GitHub, they will be created with a dummy value.

Automated release

By following the conventional commits specification, we're able to completely automate versioning and releasing to PyPI. This is handled by the semantic-release.yml workflow. It is triggered manually by default, but can be configured to run on every push to your main branch.

Here is an overview of its features:

• Check the commit log since the last release, and determine the next version to be released.
• If no significant change detected, stop here (e.g. just dependencies update).
• Otherwise, bump the version in code locations specified in setup.cfg.
• Update the CHANGELOG.md file.
• Commit changes.
• Create a git tag.
• Push to GitHub.
• Create a release in GitHub with the changes as release notes.
• Build the source and binary distribution (wheel).
• Upload the sources to PyPI and attach them to the Github release.

For more details, check out the [conventional commits website][conventional-commits] and [Python semantic release][python-semantic-release] Github action.

Pre-commit

The project comes with the config for [pre-commit]. If you're not familiar with it, follow their documentation on how to install it and set it up.

Documentation

The project assumes that the documentation will be hosted on Read the Docs and written in Markdown with the [MyST parser for Sphinx][myst].

To enable it, you might need to go [into your dashboard][rtd-dashboard] and import the project from Github. Everything else should work out of the box.

Dependencies update

The project dependencies are kept up to date with [Renovate] which requires [the Github app][renovate-gh-app] to be installed.

The main advantage of Renovate over Dependabot is the auto-merge option, which is configured to automatically merge minor/patch updates with all the CI checks passing. It supports a variety of package managers, including Poetry, GitHub actions and pre-commit hooks which are used by default.

Contributors ✨

Forked from: browniebroke/cookiecutter-pypackage