autohooks 2.0.0

Library for managing git hooks

Autohooks

Library for managing and writing git hooks in Python

• Why?
• Solution
• Modes
  • Pythonpath Mode
  • Pipenv Mode
  • Poetry Mode
• Installation
  • Choose autohooks Mode
  • Install autohooks Python Package
  • Configure Plugins to be run
  • Activating the Git Hooks
• Plugins
• How-to write a Plugin
  • Linting Plugin
  • Formatting Plugin
• Maintainer
• Contributing
• License

Why?

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

But either they need another interpreter besides python (like husky) or they are too ambiguous (like pre-commit). pre-commit is written in python but has support hooks written in all kind of languages. Also it maintains the dependencies by itself and doesn't install in the current environment.

Solution

Autohooks is a pure python library that installs a minimal executable git hook. It allows you to decide how to maintain your hook dependencies by supporting different modes.

Modes

Currently three modes for using autohooks are supported:

• pythonpath
• pipenv
• poetry

The 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.

Pythonpath Mode

In the pythonpath mode the user has to install autohooks, the desired plugins and their dependencies into the PYTHONPATH manually.

This can be achieved by running pip install --user autohooks ... to put them into the installation directory of the current user or with pip install authooks ... for a system wide installation.

Alternatively a virtual environment could be used, which separates the installation from your global and user wide Python packages.

It would also be possible to use pipenv for the management of the virtual environment but the activation of the environment has to be done manually.

Therefore it would be even possible to run different versions of autohooks by using the pythonpath mode and switching a virtual environment.

Pipenv Mode

In the pipenv mode pipenv is used to run autohooks in a dedicated virtual environment. Pipenv uses a lockfile to install exact versions. Therefore the installation is deterministic and reliable between different developer setups. In contrast to the pythonpath mode the activation of the virtual environment provided by pipenv is done automatically in the background.

Using the pipenv mode is highly recommended.

Poetry Mode

Like the pipenv mode it is possible to run autohooks in a dedicated environment controlled by poetry. By using the poetry mode the virtual environment will be activated automatically in the background when executing the autohooks based git commit hook.

Installation

For the installation of autohooks three steps are necessary:

1. Choose autohooks mode
2. Install autohooks package into your current environment
3. Configure plugins to be run
4. Activate git hooks

Choose autohooks Mode

Autohooks uses the pyproject.toml file specified in PEP518 for its configuration. Adding a [tool.autohooks] section allows to specify the desired autohooks mode and to set python modules to be run as autohooks plugins.

The mode can be set by adding a mode = line to the pyproject.toml file. Current possible options are "pythonpath", "pipenv" and "poetry". See autohooks mode for more details. If the mode setting is missing it falls back to pythonpath mode.

Example pyproject.toml:

[build-system]
requires = ["setuptools", "wheel"]

[tool.autohooks]
mode = "pipenv"

Install autohooks Python Package

For installing the autohooks python package, using pipenv is highly recommended.

To install autohooks as a development dependency run

pipenv install --dev autohooks

or add

autohooks = "*"

to the [dev-packages] section of your Pipfile.

Alternatively autohooks can be installed directly from GitHub by running

pipenv install --dev git+https://github.com/greenbone/autohooks#egg=autohooks

or adding

autohooks = {git = "https://github.com/greenbone/autohooks"}

to the [dev-packages] section of your Pipfile.

Configure Plugins to be run

To actually run an action on git hooks, autohooks plugins have to be installed and configured. To install e.g. python linting via pylint run

pipenv install --dev autohooks-plugin-pylint

Afterwards the pylint plugin can be configured to run as a pre-commit git hook by adding the autohooks-plugins-pylint python module name to the pre-commit setting at the [tool.autohooks] section in the pyproject.toml file.

Example pyproject.toml:

[build-system]
requires = ["setuptools", "wheel"]

[tool.autohooks]
mode = "pipenv"
pre-commit = ["autohooks.plugins.pylint"]

Activating the Git Hooks

If autohooks is installed from git or a source tarball, the git hooks should be activated automatically. The activation can be verified by running e.g. autohooks check.

Installing autohooks from a wheel package will NOT activate the git commit hooks automatically.

To manually activate the git hooks you can run

pipenv run autohooks activate

Calling activate also allows for overriding the mode defined in the pyproject.toml settings for testing purposes. E.g.

pipenv run autohooks activate --mode pipenv

Please keep in mind that autohooks will always issue a warning if the mode used in the git hooks is different from the configured mode in the pyproject.toml file.

Plugins

• Python code formatting via black

• Python code formatting via autopep8

• Python code linting via pylint

• Python import sorting via isort

How-to write a Plugin

Plugins need to be available in the Python import path. The easiest way to achieve this, is to upload a plugin to PyPI and install it via pip or pipenv.

Alternatively, a plugin can also be put into a .autohooks directory at the root directory of the git repository where the hooks should be executed.

An autohooks plugin is a Python module which provides a precommit function. The function must accept arbitrary keywords because the keywords are likely to change in future. Therefore using **kwargs is highly recommended. Currently only a config keyword argument is passed to the precommit function. E.g.

def precommit(**kwargs):
    config = kwargs.get('config')

The config can be used to receive settings from the pyproject.toml file. E.g.

[tool.autohooks.plugins.foo]
bar = 2

can be received with

def precommit(**kwargs):
    config = kwargs.get('config')
    default_value = 1
    setting = config
      .get('tool', 'autohooks', 'plugins', 'foo')
      .get_value('bar', default_value)
    return 0

With autohooks it is possible to write all kinds of plugins. Most common are plugins for linting and formatting.

Linting Plugin

Usually the standard call sequence for a linting plugin is

1. get list of staged files
2. filter list of files for a specific file type
3. stash unrelated changes
4. apply checks on filtered list of files by calling some external tool
5. raise exception if something did go wrong
6. return 1 if check was not successful
7. stage changes made by the tool
8. unstash unrelated changes
9. return 0

Example plugin:

import subprocess

from autohooks.api import ok, fail
from autohooks.api.git import get_staged_status, stash_unstaged_changes
from autohooks.api.path import match

DEFAULT_INCLUDE = ('*.ext')


def get_include(config)
    if not config:
        return DEFAULT_INCLUDE

    config = config.get('tool', 'autohooks', 'plugins', 'foo')
    return config.get_value('include', DEFAULT_INCUDE)


def precommit(**kwargs):
    config = kwargs.get('config')
    include = get_include(config)

    files = [f for f in get_staged_status() if match(f.path, include)]

    if not files:
      # not files to lint
      return 0

    with stash_unstaged_changes(files):
        const failed = False
        for file in files:
            status = subprocess.call(['foolinter', str(file)])
            if status:
                fail('Could not validate {}'.format(str(file)))
                failed = True
            else:
                ok('Validated {}'.format(str(file)))

        return 1 if failed else 0

Formatting Plugin

Usually the standard call sequence for a formatting plugin is

1. get list of staged files
2. filter list of files for a specific file type
3. stash unrelated changes
4. apply formatting on filtered list of files by calling some external tool
5. raise exception if something did go wrong
6. stage changes made by the tool
7. unstash unrelated changes
8. return 0

Example plugin:

import subprocess

from autohooks.api import ok, error
from autohooks.api.git import (
    get_staged_status,
    stage_files_from_status_list,
    stash_unstaged_changes,
)
from autohooks.api.path import match

DEFAULT_INCLUDE = ('*.ext')


def get_include(config)
    if not config:
        return DEFAULT_INCLUDE

    config = config.get('tool', 'autohooks', 'plugins', 'bar')
    return config.get_value('include', DEFAULT_INCUDE)


def precommit(**kwargs):
    config = kwargs.get('config')
    include = get_include(config)

    files = [f for f in get_staged_status() if match(f.path, include)]

    if not files:
      # not files to format
      return 0

    with stash_unstaged_changes(files):
        for file in files:
            # run formatter and raise exception if it fails
            subprocess.run(['barformatter', str(file)], check=True)
            ok('Formatted {}'.format(str(file)))

        return 0

Maintainer

This project is maintained by Greenbone Networks GmbH.

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 Greenbone Networks GmbH

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