GitPython is a python library used to interact with Git repositories.
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README.md

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)
  • Python 2.7 to 3.7.

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

INSTALL

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

If you like to clone from source, you can do it like so:

git clone https://github.com/gitpython-developers/GitPython
git submodule update --init --recursive
./init-tests-after-clone.sh

Limitations

Leakage of System Resources

GitPython is not suited for long-running processes (like daemons) as it tends to leak system resources. It was written in a time where destructors (as implemented in the __del__ method) still ran deterministically.

In case you still want to use it in such a context, you will want to search the codebase for __del__ implementations and call these yourself when you see fit.

Another way assure proper cleanup of resources is to factor out GitPython into a separate process which can be dropped periodically.

Windows support

For Windows, we do regularly test it on Appveyor CI but not all test-cases pass - you may help improve them by exploring Issue #525.

RUNNING TESTS

Important: Right after cloning this repository, please be sure to have executed the ./init-tests-after-clone.sh script in the repository root. Otherwise you will encounter test failures.

On Windows, make sure you have git-daemon in your PATH. For MINGW-git, the git-daemon.exe exists in Git\mingw64\libexec\git-core\; CYGWIN has no daemon, but should get along fine with MINGW's.

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

pip install tox

Then run:

tox

For more fine-grained control, you can use nose.

Contributions

Please have a look at the contributions file.

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

  • Update/verify the version in the VERSION file
  • Update/verify that the changelog has been updated
  • Commit everything
  • Run git tag -s <version> to tag the version in Git
  • Run make release
  • 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.

How to verify a release

Please only use releases from pypi as you can verify the respective source tarballs.

This script shows how to verify the tarball was indeed created by the authors of this project:

curl https://pypi.python.org/packages/5b/38/0433c06feebbfbb51d644129dbe334031c33d55af0524326266f847ae907/GitPython-2.1.8-py2.py3-none-any.whl#md5=6b73ae86ee2dbab6da8652b2d875013a  > gitpython.whl
curl https://pypi.python.org/packages/5b/38/0433c06feebbfbb51d644129dbe334031c33d55af0524326266f847ae907/GitPython-2.1.8-py2.py3-none-any.whl.asc > gitpython-signature.asc
gpg --verify gitpython-signature.asc gitpython.whl

which outputs

gpg: Signature made Mon Dec 11 17:34:17 2017 CET
gpg:                using RSA key C3BC52BD76E2C23BAC6EC06A665F99FA9D99966C
gpg:                issuer "byronimo@gmail.com"
gpg: Good signature from "Sebastian Thiel (I do trust in Rust!) <byronimo@gmail.com>" [ultimate]

You can verify that the keyid indeed matches the release-signature key provided in this repository by looking at the keys details:

gpg --list-packets ./release-verification-key.asc

You can verify that the commit adding it was also signed by it using:

git show --show-signature  ./release-verification-key.asc

If you would like to trust it permanently, you can import and sign it:

gpg --import ./release-verification-key.asc
gpg --edit-key 88710E60

> sign
> save

Projects using GitPython

LICENSE

New BSD License. See the LICENSE file.

DEVELOPMENT STATUS

codecov Build Status Build status Code Climate Documentation Status Stories in Ready Throughput Graph

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