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Frequenz Repository Configuration

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Introduction

This is a highly opinionated set of tools and configurations to set up a Python repository for Frequenz projects.

It offers:

  • Cookiecutter templates for scaffolding new projects
  • Trivial build of noxfile.py with some predefined sessions that include all common checks.
  • Tools to build protobuf/grpc files as Python, including type information.

Supported Platforms

The following platforms are officially supported (tested):

  • Python: 3.11
  • Operating System: Ubuntu Linux 20.04
  • Architectures: amd64, arm64

Quick Example

To start a new project, you should first install Cookiecutter. It is normally available in any Linux distribution, but some have a very old version (for example, Ubuntu/Debian). You can check which version your distro has on Repology. You need at least version 2.4.0. To ensure you get an up-to-date version, you can always use pip and install it in a venv:

$ python -m venv cookiecutter
$ cd cookiecutter
$ . bin/activate
(venv) $ pip install cookiecutter
Collecting cookiecutter
...

Then simply run Cookiecutter where you want to create the new project. A new directory will be created with the generated project name. For example:

cd ~/devel
cookiecutter gh:frequenz-floss/frequenz-repo-config-python --directory=cookiecutter

This command will prompt you for the project type, name, and other configuration options, and it will generate the entire project for you.

It is recommended to use a released version, you can do that by adding the option --checkout <version> to the command above. You can check which is the latest version here.

After completing the project and fixing the TODOs, you can either amend the previous commit using git commit --amend or create a new commit for the changes using git commit.

Documentation

For more detailed documentation, please check the project's website.

Contributing

If you want to know how to build this project and contribute to it, please refer to the Contributing Guide.

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Frequenz repository setup tools and common configuration for Python

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