Skip to content

ishepard/pydriller

Repository files navigation

Build Status Documentation Status codecov Downloads License

PyDriller

PyDriller is a Python framework that helps developers in analyzing Git repositories. With PyDriller you can easily extract information about commits, developers, modified files, diffs, and source code.

Install

pip install pydriller

Quick usage

from pydriller import Repository

for commit in Repository('https://github.com/ishepard/pydriller').traverse_commits():
    print(commit.hash)
    print(commit.msg)
    print(commit.author.name)

    for file in commit.modified_files:
        print(file.filename, ' has changed')

Read the docs for more usage examples. Furthermore, a video is available on Youtube.

TestPulse

If you are interested in tests, tests health and code quality, test code coverage, etc..., you might be interested in our new project: TestPulse! Check it out: https://www.testpulse.io

How to cite PyDriller

@inproceedings{Spadini2018,
  address = {New York, New York, USA},
  author = {Spadini, Davide and Aniche, Maur\'{i}cio and Bacchelli, Alberto},
  booktitle = {Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering - ESEC/FSE 2018},
  doi = {10.1145/3236024.3264598},
  isbn = {9781450355735},
  keywords = {2018,acm reference format,and alberto bacchelli,davide spadini,git,gitpython,maur\'{i}cio aniche,mining software repositories,pydriller,python},
  pages = {908--911},
  publisher = {ACM Press},
  title = {{PyDriller: Python framework for mining software repositories}},
  url = {https://dl.acm.org/citation.cfm?doid=3236024.3264598},
  year = {2018}
}

How to contribute

Pre-requisites

  • First clone the repository:
    git clone https://github.com/ishepard/pydriller.git
    cd pydriller
    
  • (Optional) It is suggested to make use of virtualenv. Therefore, before installing the requirements run:
    python3 -m venv venv
    source venv/bin/activate
    
  • Then, install PyDriller's requirements:
    pip install -r requirements.txt
    
  • For executing the test suite, extract the test repositories and install the test requirements:
    unzip test-repos.zip
    pip install -r test-requirements.txt
    
  • For linting and type checking, install the development requirements
    pip install -r dev-requirements.txt
    

Testing

(Important) I tend to not accept Pull Requests without tests, so:

  • unzip the test-repos.zip zip file
  • inside are many "small repositories" that were manually created to test PyDriller. Use one of your choice to test your feature (check the existing tests for inspiration)
  • if none is suitable for testing your feature, create a new one. Be careful: if you create a new one, do not forget to upload a new zip file test-repos.zip that includes your new repository, otherwise the tests will fail.

Run the test suite with pytest:

pytest

Run the test suite with a coverage report as terminal output:

pytest --cov-report term --cov=pydriller tests/

alternatively run:

make testcoverage

Type checking

PyDriller source code is annotated for type checking, see syntax. The mypy type checker is executed on each pull request. That is, code that does not type check will not pass that build step, see CI step. Run the type checker locally:

mypy --ignore-missing-imports pydriller/ tests/

alternatively run:

make typecheck

Linting

PyDriller relies on the Flake8 linter to check and enforce code style. The linter is executed on each pull request. That is, code that does not conform to code style rules as formulated by Flake8, will not pass that build step, see CI step. Run the type checker locally:

flake8

alternatively run:

make lint

CodeQL

PyDriller's CI chain executes a set of CodeQL queries related to Python quality and security. Currently, a local CodeQL setup is quite big (>1.7GB) and require multiple setup and configuration steps. Therefore, it is omitted here and in the Makefile.

Acknowledgements

This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 642954.