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/monora/tom/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

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

The documentation is created using PlantUML with the help of the Sphinx extension sphinxcontrib-plantuml. See configuration in /conf.py:

# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
extensions = ['sphinx.ext.autodoc',
              'sphinx.ext.viewcode',
              'sphinx_gallery.gen_gallery',
              'sphinxcontrib.plantuml']

See also:

Submit Feedback

The best way to send feedback is to file an issue at https://github.com/monora/tom/issues.

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 Train Object Model for local development.

  1. Fork the Train Object Model repo on GitHub.

  2. Clone your fork locally:

    $ git clone git@github.com:your_name_here/tom.git
    
  3. Install your local copy into a virtualenv using poetry. Assuming you have poetry installed, this is how you set up your fork for local development:

    $ cd tom/
    $ poetry install
    $ poetry shell
    
  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, check that your changes pass flake8 and the tests, including testing other Python versions with tox:

    $ flake8 tom tests
    $ 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 2.7, 3.4, 3.5 and 3.6, and for PyPy. Check

    and make sure that the tests pass for all supported Python versions.

Tips

To run a subset of tests:

$ poetry run pytest tests/

Deploying

A reminder for the maintainers on how to deploy. Make sure all your changes are committed (including an entry in HISTORY.rst). Then run:

$ bump2version patch # possible: major / minor / patch
$ git push
$ git push --tags

Travis will then deploy to PyPI if tests pass.

Deploying Documentation

For now we deploy the documention manually to GitHub pages:

cd $TOM_DIR # where tom project ist cloned
make clean docs
cd ..
git clone https://github.com/monora/tom.git --branch gh-pages --single-branch gh-pages
cp -r $TOM_DIR/docs/_build/html/* gh-pages
cd gh-pages
git add .
git ci -m'Update documentation'
git push