Contributing

Bug reports, feedback

You think you have found a bug in Pylint? Well, this may be the case since Pylint is under heavy development.

Please take the time to check if it is already in the issue tracker at https://github.com/PyCQA/pylint

If you cannot find it in the tracker, create a new issue there or discuss your problem on the code-quality@python.org mailing list.

The code-quality mailing list is also a nice place to provide feedback about Pylint, since it is shared with other tools that aim at improving the quality of python code.

Note that if you don’t find something you have expected in Pylint’s issue tracker, it may be because it is an issue with one of its dependencies, namely astroid:

Mailing lists

You can subscribe to this mailing list at http://mail.python.org/mailman/listinfo/code-quality

Archives are available at http://mail.python.org/pipermail/code-quality/

Archives before April 2013 are available at http://lists.logilab.org/pipermail/python-projects/

Repository

Pylint is developed using the git distributed version control system.

You can clone Pylint and its dependencies from

git clone https://github.com/PyCQA/pylint
git clone https://github.com/PyCQA/astroid

Got a change for Pylint? Below are a few steps you should take to make sure your patch gets accepted.

  • Test your code

    • Pylint is very well tested, with a high good code coverage. It has two types of tests, usual unittests and functional tests.

      The usual unittests can be found under /test directory and they can be used for testing almost anything Pylint related. But for the ease of testing Pylint’s messages, we also have the concept of functional tests.

    • You should also run all the tests to ensure that your change isn’t breaking one. You can run the tests using the tox package, as in:

      python -m tox
      python -m tox -epy27 # for Python 2.7 suite only
      python -m tox -epylint # for running Pylint over Pylint's codebase
      
    • To run only a specific test suite, use a pattern for the test filename (without the .py extension), as in:

      python -m tox -e py27 -- -k test_functional
      python -m tox -e py27 -- -k  \*func\*
      
  • Add a short entry to the ChangeLog describing the change, except for internal implementation only changes

  • Write a comprehensive commit message

  • Relate your change to an issue in the tracker if such an issue exists (see Closing issues via commit messages of the GitHub documentation for more

    information on this)

  • Document your change, if it is a non-trivial one.

  • Send a pull request from GitHub (see About pull requests for more insight about this topic)

Functional Tests

These are residing under ‘/test/functional’ and they are formed of multiple components. First, each Python file is considered to be a test case and it should be accompanied by a .txt file, having the same name, with the messages that are supposed to be emitted by the given test file.

In the Python file, each line for which Pylint is supposed to emit a message has to be annotated with a comment in the form # [message_symbol], as in:

a, b, c = 1 # [unbalanced-tuple-unpacking]

If multiple messages are expected on the same line, then this syntax can be used:

a, b, c = 1.test # [unbalanced-tuple-unpacking, no-member]

The syntax of the .txt file has to be this:

symbol:line_number:function_or_class:Expected message

For example, this is a valid message line:

abstract-class-instantiated:79:main:Abstract class 'BadClass' with abstract methods instantiated

If the Python file is expected to not emit any errors, then the .txt file has to be empty. If you need special control over Pylint’s flag, you can also create a .rc file, which can have sections of Pylint’s configuration.

During development, it’s sometimes helpful to run all functional tests in your current environment in order to have faster feedback. Run with:

python pylint/test/test_functional.py

Tips for Getting Started with Pylint Development

  • Read the Technical Reference. It gives a short walkthrough of the pylint codebase and will help you identify where you will need to make changes for what you are trying to implement.
  • astroid.extract_node() is your friend. Most checkers are AST based, so you will likely need to interact with astroid. A short example of how to use astroid.extract_node() is given here.
  • When fixing a bug for a specific check, search the code for the warning message to find where the warning is raised, and therefore where the logic for that code exists.

A Typical Development Workflow

  1. Create a virtualenv in which to work:

    $ tox
    
  2. Write the tests. See Functional Tests.

  3. Check that the tests fail:

    $ tox
    
  4. Fix pylint!

  5. Make sure your tests pass:

    $ tox
    

    It is also possible to give tox a pytest specifier to run only your test:

    $ tox pylint/test/test_functional.py::test_functional
    
  6. Package up and submit your changes as outlined in repository.