Autohooks

Library for managing and writing git hooks in Python using pyproject.toml for its settings.

Looking for automatic formatting and linting, e.g., with black and pylint, while creating a git commit using a pure Python implementation? Do you just want to have your git hook settings in the pyproject.toml file too?

Welcome to autohooks!

• Why?
• Solution
• Requirements
• Plugins
• Installing autohooks
• Maintainer
• Contributing
• License

Why?

Several outstanding libraries for managing and executing git hooks exist already. To name a few: husky, lint-staged, precise-commits or pre-commit.

However, they need another interpreter besides python (like husky), require a different config file besides pyproject.toml or are too ambiguous (like pre-commit). pre-commit is written in python but has support hooks written in all kind of languages. Additionally, it maintains the dependencies by itself and does not install them in the current environment.

Solution

autohooks is a pure python library that installs a minimal executable git hook. It allows the decision of how to maintain the hook dependencies by supporting different modes and stores its settings in the well known pyproject.toml file.

Requirements

Python 3.7+ is required for autohooks.

Plugins

• Python code formatting via black

• Python code formatting via autopep8

• Python code linting via pylint

• Python code linting via flake8

• Python import sorting via isort

• Running tests via pytest

Installing autohooks

Quick installation of pylint and black plugins using poetry:

poetry add --dev autohooks autohooks-plugin-black autohooks-plugin-pylint
poetry run autohooks activate --mode poetry
poetry run autohooks plugins add autohooks.plugins.black autohooks.plugins.pylint

The output of autohooks activate should be similar to

 ✓ autohooks pre-commit hook installed at /autohooks-test/.git/hooks/pre-commit using poetry mode.

Autohooks has an extensible plugin model. Each plugin provides different functionality which often requires to install additional dependencies.

For managing these dependencies currently three modes are supported by autohooks:

• pythonpath for dependency management via pip
• poetry for dependency management via poetry (recommended)
• pipenv for dependency management via pipenv

These modes handle how autohooks, the plugins and their dependencies are loaded during git hook execution.

If no mode is specified in the pyproject.toml config file and no mode is set during activation, autohooks will use the pythonpath mode by default.

For more details on using pip, poetry or pipenv in conjunction with these modes see the documentation.

Maintainer

This project is maintained by Greenbone AG.

Contributing

Your contributions are highly appreciated. Please create a pull request on GitHub. Bigger changes need to be discussed with the development team via the issues section at GitHub first.

License

Copyright (C) 2019 - 2022 Greenbone AG

Licensed under the GNU General Public License v3.0 or later.