Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Report bugs at the project's issues page.
When 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.
Look through the GitHub issues for bugs. Anything tagged with "bug" and "help wanted" is open to whoever wants to implement it. Issues labeled "good first issue" are well suited for first time contributors.
Look through the GitHub issues for features. Anything tagged with "enhancement" and "help wanted" is open to whoever wants to implement it.
NannyML could always use more documentation, whether as part of the official NannyML docs, in docstrings, or even on the web in blog posts, articles, and such.
Feel free to give feedback on anything related to NannyML. There are two ways to give feedback. The first is to chat with us in our slack community.
The second way is to file an issue at the project's issues page.
If you are proposing a feature:
- Describe the problem the feature will solve.
- Explain in detail how it would work.
- Keep the scope as narrow as possible, to make it easier to implement.
Ready to contribute code? Here's how to set up nannyml for local development.
Fork the nannyml repo on GitHub.
Clone your fork locally
$ git clone [email protected]:your_name_here/nannyml.git
Ensure poetry is installed.
Install dependencies and start your virtualenv:
$ poetry install -E test -E doc -E dev
Create a branch for local development:
$ git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.
When you're done making changes, check that your changes pass the tests, including testing other Python versions, with tox:
$ poetry run tox
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
Submit a pull request through the GitHub website.
Before you submit a pull request, check that it meets these guidelines:
- The pull request should include tests.
- 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.md
. - The pull request should work for Python 3.7, 3.8, 3.9 and 3.10. Check the project's github actions page and make sure that the tests pass for all supported Python versions.
$ poetry run pytest tests/test_nannyml.py
To run a subset of tests.
A reminder for the maintainers on how to deploy.
Make sure all your changes are committed (including an entry in CHANGELOG.md
).
Then run:
$ poetry run bump2version patch # possible: major / minor / patch $ git push $ git push --tags
GitHub Actions will then deploy to PyPI if tests pass.