F

Fastmcp Proper

一個現代化的Python項目模板,包含FastAPI REST API、Docker支持、代碼質量工具(ruff/mypy/pytest)和CI/CD集成,展示了生產級Python應用的最佳實踐。
2分
12

What is Python Best Practices Launchpad?

This is a ready-to-use Python project template that helps developers quickly start building production-ready applications. It includes a functional FastAPI REST API with built-in best practices for modern Python development.

How to use this template?

You can either use Dev Containers for instant setup, Docker Compose for containerized deployment, or set up locally with Python 3.10+. The template comes pre-configured with all necessary tools and workflows.

Ideal Use Cases

Perfect for building new microservices, REST APIs, or any Python application that needs robust testing, type checking and deployment pipelines. Great for teams wanting standardized development practices.

Key Features

FastAPI REST APIReady-to-use API with automatic OpenAPI documentation, data validation using Pydantic models, and proper error handling.
Docker SupportProduction-ready multi-stage Docker builds and Docker Compose configuration for easy deployment.
UV Dependency ManagementFast and efficient dependency resolution with modern virtual environment management.
Code Quality ToolsIntegrated Ruff for linting/formatting, mypy for type checking, and pre-commit hooks for automated checks.
Comprehensive TestingPre-configured pytest setup with unit, API and integration test examples.
CI/CD PipelineGitHub Actions workflow ready for testing and quality assurance.

Pros and Cons

Advantages
Production-ready configuration out of the box
Standardized development practices across teams
Built-in code quality checks prevent common issues
Containerized deployment simplifies operations
Comprehensive testing framework included
Limitations
Requires Python 3.10+ (may not suit legacy systems)
Initial setup has many dependencies
Learning curve for all integrated tools
Docker knowledge needed for full utilization

Getting Started

Choose your setup method
Select between Dev Containers (recommended), Docker Compose, or local installation.
Install dependencies
Use uv to install all required packages and development tools.
Set up Git hooks
Install pre-commit hooks to automatically check code quality before commits.
Run the API server
Start the development server to begin working with the API.
Run tests
Verify everything works correctly by running the test suite.

Example Use Cases

Building a new microserviceUse this template as foundation for a new Python microservice with REST API endpoints.
Teaching modern Python practicesUse as educational material to demonstrate production-grade Python development.
Standardizing team workflowAdopt this template across development team to ensure consistent practices.

Frequently Asked Questions

What Python version is required?
Can I use this without Docker?
How do I add new dependencies?
Where do I find the API documentation?
How do I disable certain lint rules?

Additional Resources

FastAPI Documentation
Official FastAPI docs with tutorials and examples
Ruff Documentation
Complete guide to Ruff's linting and formatting rules
UV Documentation
Usage guide for the uv package manager
Python Packaging Guide
Official Python packaging and distribution guide
Dev Containers Tutorial
VS Code guide for working with development containers
安裝
複製以下命令到你的Client進行配置
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