repository-management-api 0.0.1

A FastAPI service for creating and managing Git repositories.

UV Devcontainer Template

This template is designed to streamline the setup of a Python development environment using the uv package manager on Debian Bookworm. It's equipped with a collection of tools and extensions specifically chosen to enhance the Python development workflow, from code writing to testing and deployment.

Features Overview

Feature	Description
Operating System	Debian Bookworm, providing a stable foundation for development.
Package Management	uv, a lightweight and efficient package and environment manager.
Programming Language	Python, ready for development right out of the box.
Version Control	Git integrated for robust version control.
VSCode Extensions	A curated list of VSCode extensions installed, including essentials for Python development.
Testing Framework	Pytest configured to run tests from the tests directory, utilizing VSCode's test runner for ease of testing.

Getting Started

1. Clone and Open: Clone this repository and open it in VSCode. The project will prompt to reopen in a devcontainer.
2. Dev Environment Initialization: The uv sync task can be run manually, preparing and updating your development environment.
3. Rename the Project Directory: Rename the /project directory to match the name of your new project to get started. Update the project name in the pyproject.toml file as well.

Managing Dependencies

• Application Dependencies: Defined in pyproject.toml. A frozen set of these dependencies is created and stored in uv.lock for reproducible deployments.

Running Tests

Tests are run using VSCode's integrated test runner:

1. Navigate to the testing sidebar in VSCode.
2. You'll see your tests listed there. Test can be run directly from the UI.

Running the Application

VSCode's launch.json is configured to debug the currently open Python file, allowing you to run and debug any part of your project easily.

Note: You may need to tweak launch.json for specific project requirements, such as adding arguments or setting environment variables.

Quick Start

• Open project/main.py or any Python file you intend to run.
• Use F5 or the green play button in the "Run and Debug" sidebar to start debugging.

Deployment

Deploy your application using the dependencies detailed in uv.lock to guarantee that your deployment mirrors the tested state of your application.

Contributing

We welcome contributions to improve the uv-devcontainer-template. Please follow the standard fork and pull request workflow. Make sure to add tests for new features and update the documentation as necessary.

License

This project is licensed under the MIT License.