Contributing
This document briefly describes how to contribute to psm_utils.
Before you begin
If you have an idea for a feature, use case to add or an approach for a bugfix, you are welcome to communicate it with the community by opening a thread in GitHub Discussions or in GitHub Issues.
Not sure where to start? Great contributions to psm_utils include:
Adding support for more file formats.
Adding functionality to the
PSMList
,PSM
, orPeptidoform
classes.Improving the performance of existing functions, e.g. parsing peptidoforms or reading and writing PSM files.
Also check out the open issues
that carry the good first issue
or help wanted
labels.
Development setup
Local install
Setup Python 3, and preferably create a virtual environment.
Clone the psm_utils repository.
Use pip in editable mode to setup the development environment:
pip install --editable .[dev,docs]
Unit tests
Run tests with pytest
:
pytest ./tests
Documentation
To work on the documentation and get a live preview, install the requirements
and run sphinx-autobuild
:
pip install .[docs]
sphinx-autobuild --watch ./psm_utils ./docs/source/ ./docs/_build/html/
Then browse to http://localhost:8000 to watch the live preview.
How to contribute
Fork psm_utils on GitHub to make your changes.
Commit and push your changes to your fork.
Ensure that the tests and documentation (both Python docstrings and files in
/docs/source/
) have been updated according to your changes. Python docstrings are formatted in the numpydoc style.Open a pull request with these changes. You pull request message ideally should include:
A description of why the changes should be made.
A description of the implementation of the changes.
A description of how to test the changes.
The pull request should pass all the continuous integration tests which are automatically run by GitHub Actions.
Release workflow
When a new version is ready to be published:
Change the
__version__
inpsm_utils/__init__.py
following semantic versioning.Update the changelog (if not already done) in
CHANGELOG.md
according to Keep a Changelog.Merge all final changes with the
main
branch.Create a new release on GitHub.
When a new GitHub release is made, the Publish GitHub Action is automatically triggered to build the Python package and publish it to PyPI. Upon a new PyPI release, the Bioconda automations will automatically update the Bioconda package. However, if dependencies are changed, the conda recipe will have to be updated accordingly.