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Python project template

Python project template

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github.com/rohanjoackhimDeveloper Tools0Updated 83w ago

About Python project template

A Python project template for developers that includes formatting, linting, testing, coverage, and CI configuration. It provides a devcontainer and pre-commit hooks for a ready-to-adapt starting point.

Key features

  1. 01Ruff linting
  2. 02Black formatting
  3. 03Pre-commit hooks
  4. 04Pytest and coverage
  5. 05GitHub Actions checks
  6. 06Python devcontainer

Use cases

  1. 01Starting a Python project
  2. 02Running tests and coverage checks
  3. 03Applying style checks before commits

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Python project template

This is a template repository for any Python project that comes with the following dev tools:

  • ruff: identifies many errors and style issues (flake8, isort, pyupgrade)
  • black: auto-formats code

Those checks are run as pre-commit hooks using the pre-commit library.

It includes pytest for testing plus the pytest-cov plugin to measure coverage.

The checks and tests are all run using Github actions on every pull request and merge to main.

This repository is setup for Python 3.11. To change the version:

  1. Change the image argument in .devcontainer/devcontainer.json (see https://github.com/devcontainers/images/tree/main/src/python for a list of pre-built Docker images)
  2. Change the config options in .precommit-config.yaml
  3. Change the version number in .github/workflows/python.yaml

Development instructions

With devcontainer

This repository comes with a devcontainer (a Dockerized Python environment). If you open it in Codespaces, it should automatically initialize the devcontainer.

Locally, you can open it in VS Code with the Dev Containers extension installed.

Without devcontainer

If you can't or don't want to use the devcontainer, then you should first create a virtual environment:

python3 -m venv .venv
source .venv/bin/activate

Then install the dev tools and pre-commit hooks:

python3 -m pip install --user -r requirements-dev.txt
pre-commit install

Adding code and tests

This repository starts with a very simple main.py and a test for it at tests/main_test.py. You'll want to replace that with your own code, and you'll probably want to add additional files as your code grows in complexity.

When you're ready to run tests, run:

python3 -m pytest

File breakdown

Here's a short explanation of each file/folder in this template:

  • .devcontainer: Folder containing files used for setting up a devcontainer
    • devcontainer.json: File configuring the devcontainer, includes VS Code settings
  • .github: Folder for Github-specific files and folders
    • workflows: Folder containing Github actions config files
      • python.yaml: File configuring Github action that runs tools and tests
  • tests: Folder containing Python tests
    • main_test.py: File with pytest-style tests of main.py
  • .gitignore: File describing what file patterns Git should never track
  • .pre-commit-config.yaml: File listing all the pre-commit hooks and args
  • main.py: The main (and currently only) Python file for the program
  • pyproject.toml: File configuring most of the Python dev tools
  • README.md: You're reading it!
  • requirements-dev.txt: File listing all PyPi packages required for development
  • requirements.txt: File listing all PyPi packages required for production

For a longer explanation, read this blog post.

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