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Contributing In General

Our project welcomes external contributions. If you have an itch, please feel free to scratch it.

To contribute code or documentation, please submit a pull request.

A good way to familiarize yourself with the codebase and contribution process is to look for and tackle low-hanging fruit in the issue tracker. Before embarking on a more ambitious contribution, please quickly get in touch with us.

For general questions or support requests, please refer to the discussion section.

Note: We appreciate your effort, and want to avoid a situation where a contribution requires extensive rework (by you or by us), sits in backlog for a long time, or cannot be accepted at all!

Proposing new features

If you would like to implement a new feature, please raise an issue before sending a pull request so the feature can be discussed. This is to avoid you wasting your valuable time working on a feature that the project developers are not interested in accepting into the code base.

Fixing bugs

If you would like to fix a bug, please raise an issue before sending a pull request so it can be tracked.

Merge approval

For a list of the maintainers, see the MAINTAINERS.md page.

Communication

Please feel free to connect with us using the discussion section.

Developing

Usage of Poetry

We use Poetry to manage dependencies.

Install

To install, see the documentation here: https://python-poetry.org/docs/master/#installing-with-the-official-installer

  1. Install the Poetry globally in your machine

    curl -sSL https://install.python-poetry.org | python3 -

    The installation script will print the installation bin folder POETRY_BIN which you need in the next steps.

  2. Make sure Poetry is in your $PATH

    • for zsh 
      echo 'export PATH="POETRY_BIN:$PATH"' >> ~/.zshrc
    • for bash 
      echo 'export PATH="POETRY_BIN:$PATH"' >> ~/.bashrc

  3. The official guidelines linked above include useful details on the configuration of autocomplete for most shell environments, e.g. Bash and Zsh.

Create a Virtual Environment and Install Dependencies

To activate the Virtual Environment, run:

poetry shell

To spawn a shell with the Virtual Environment activated. If the Virtual Environment doesn't exist, Poetry will create one for you. Then, to install dependencies, run:

poetry install

(Advanced) Use a Specific Python Version

If for whatever reason you need to work in a specific (older) version of Python, run:

poetry env use $(which python3.8)

This creates a Virtual Environment with Python 3.8. For other versions, replace $(which python3.8) by the path to the interpreter (e.g., /usr/bin/python3.8) or use $(which pythonX.Y).

Add a new dependency

poetry add NAME

Updating the Generated Swagger Client

To update the Swagger Client with the new API specifications, check out the generator tool README.

Coding style guidelines

We use the following tools to enforce code style:

  • iSort, to sort imports
  • Black, to format code
  • Pylint, to lint code
  • Mypy, to check typing specs

We run a series of checks on the code base on every commit, using pre-commit. To install the hooks, run:

pre-commit install

To run the checks on-demand, run:

pre-commit run --all-files

Note: Checks like Black and isort will "fail" if they modify files. This is because pre-commit doesn't like to see files modified by their Hooks. In these cases, git add the modified files and git commit again.

Documentation

We use MkDocs to write documentation.

To run the documentation server, do:

mkdocs serve

The server will be available on http://localhost:8000.

Pushing Documentation to GitHub pages

Run the following:

mkdocs gh-deploy