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GitPython

GitPython is a python library used to interact with git repositories, high-level like git-porcelain, or low-level like git-plumbing.

It provides abstractions of git objects for easy access of repository data, and additionally allows you to access the git repository more directly using either a pure python implementation, or the faster, but more resource intensive git command implementation.

The object database implementation is optimized for handling large quantities of objects and large datasets, which is achieved by using low-level structures and data streaming.

REQUIREMENTS

GitPython needs the git executable to be installed on the system and available in your PATH for most operations. If it is not in your PATH, you can help GitPython find it by setting the GIT_PYTHON_GIT_EXECUTABLE=<path/to/git> environment variable.

  • Git (1.7.x or newer)

The list of dependencies are listed in ./requirements.txt and ./test-requirements.txt. The installer takes care of installing them for you.

INSTALL

Latest Version Supported Python Versions

If you have downloaded the source code:

python setup.py install

or if you want to obtain a copy from the Pypi repository:

pip install gitpython

Both commands will install the required package dependencies.

A distribution package can be obtained for manual installation at:

http://pypi.python.org/pypi/GitPython

RUNNING TESTS

The easiest way to run test is by using tox a wrapper around virtualenv. It will take care of setting up environnements with the proper dependencies installed and execute test commands. To install it simply:

pip install tox

Then run:

tox

SOURCE

GitPython's git repo is available on GitHub, which can be browsed at github and cloned like that:

git clone https://github.com/gitpython-developers/GitPython

Live Coding

You can watch me fix issues or implement new features live on Twitch, or have a look at past recordings on youtube

INFRASTRUCTURE

  • User Documentation
  • Questions and Answers
  • Please post on stackoverflow and use the gitpython tag
  • Issue Tracker
    • Post reproducible bugs and feature requests as a new issue. Please be sure to provide the following information if posting bugs:
      • GitPython version (e.g. import git; git.__version__)
      • Python version (e.g. python --version)
      • The encountered stack-trace, if applicable
      • Enough information to allow reproducing the issue

How to make a new release

  • assure changes.rst is up-to-date
  • put new version into VERSION file
  • run ./setup.py sdist
  • On https://pypi.python.org
  • Click GitPython (and pray it will not timeout)
  • Lucky ? Click edit on the last version, and copy the main description text to your clipboard - it's needed later.
  • On top of that page, click the PKG file button or drag & drop the one from ./GitPython.egg-info/PKG-INFO on it. Then click the add ... button to create a new version.
  • Paste the previously copied description text into the description field, and click the add information button on the very bottom of the page.
  • Click GitPython again and then click files of the newly created version.
  • Select source package in the dropdown, then choose or drag & drop ./dist/GitPython-<version>.tar.gz onto the file path.
  • Click the upload button.
  • Run git tag <version> to mark the version you just uploaded to pypi.
  • Run git push --tags origin master to publish the changes.
  • finally, set the upcoming version in the VERSION file, usually be incrementing the patch level, and possibly by appending -dev. Probably you want to git push once more.

NOTE: At the time of writing, pypi wouldn't hear my prayers and did timeout on me, which is why button names are just guesses. It's advised to update this text next time someone manages to publish a new release to a system so firmly rooted in the past.

LICENSE

New BSD License. See the LICENSE file.

DEVELOPMENT STATUS

Build Status Code Climate Documentation Status Issue Stats Issue Stats

Now that there seems to be a massive user base, this should be motivation enough to let git-python return to a proper state, which means

  • no open pull requests
  • no open issues describing bugs