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CONTRIBUTING.rst

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Contributing

Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.

You can contribute in many ways:

Types of Contributions

Report Bugs

Report bugs at https://github.com/spotify/confidence/issues

If you are reporting a bug, please include:

  • Your operating system name and version.
  • Any details about your local setup that might be helpful in troubleshooting.
  • Detailed steps to reproduce the bug.

Fix Bugs

Look through the GitHub issues for bugs. Anything tagged with "bug" and "help wanted" is open to whoever wants to implement it.

Implement Features

Look through the GitHub issues for features. Anything tagged with "enhancement" and "help wanted" is open to whoever wants to implement it.

Write Documentation

Confidence could always use more documentation, whether as part of the official Confidence docs, in docstrings, or even on the web in blog posts, articles, and such.

Submit Feedback

The best way to send feedback is to file an issue at https://github.com/spotify/confidence/.

If you are proposing a feature:

  • Explain in detail how it would work.
  • Keep the scope as narrow as possible, to make it easier to implement.
  • Remember that this is a volunteer-driven project, and that contributions are welcome :)

Get Started!

Ready to contribute? Here's how to set up confidence for local development.

  1. Fork the confidence repo on GitHub.

  2. Clone your fork locally:

    $ git clone https://github.com/spotify/confidence
    
  3. Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:

    $ mkvirtualenv confidence_dev
    $ cd confidence/
    $ tox
    

    The tox command will install the dev requirements in requirements_dev.txt and run all tests.

  4. Create a branch for local development:

    $ git checkout -b name-of-your-bugfix-or-feature
    

    Now you can make your changes locally.

  5. When you're done making changes, format using make black, check that your changes pass flake8 and the tests, including testing other Python versions with tox:

    $ make black
    $ flake8 confidence tests
    $ python setup.py test or py.test
    $ tox
    

    To get flake8 and tox, just pip install them into your virtualenv.

  6. Commit your changes and push your branch to GitHub:

    $ git add .
    $ git commit -m "Your detailed description of your changes."
    $ git push origin name-of-your-bugfix-or-feature
    
  7. Submit a pull request through the GitHub website.

Pull Request Guidelines

Before you submit a pull request, check that it meets these guidelines:

  1. The pull request should include tests.
  2. If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.
  3. The pull request should work for Python 3.6 and 3.7. Check and make sure that the tests pass for all supported Python versions.

Tips

To run a subset of tests:

$ py.test tests.test_confidence

Release Process

While commits and pull requests are welcome from any contributor, we try to simplify the distribution process for everyone by managing the release process with specific contributors serving in the role of Release Managers.

Release Managers are responsible for:

  • Finding a proper reviewer for each Pull Request
  • Deciding what changes constitute a new Release
  • Making a new Release available on Artefactory/internal PyPi

The current Release Managers are:

  • Per Sillrén

Versioning

Releases follow the Semantic Versioning standard.

Given a version number MAJOR.MINOR.PATCH, increment the:

MAJOR version when you make incompatible API changes, MINOR version when you add functionality in a backwards-compatible manner, and PATCH version when you make backwards-compatible bug fixes.

Release Stategy

Each new release will be made on its own branch, with the branch Master representing the most recent, furthest release. Releases are published to PyPi automatically once a new release branch is merged to Master. Additionally, rew releases are also tracked manually on github.