Cursor Python 编码规范：来自 PatrickJS/awesome-cursorrules (40k stars) 的 pyt，适用于各类文档与内容的智能化处理。
Cursor Python 编码规范：来自 PatrickJS/awesome-cursorrules (40k stars) 的 pyt，适用于各类文档与内容的智能化处理。
**文件来源:** PatrickJS/awesome-cursorrules → `rules/python-fastapi-best-practices-cursorrules-prompt-f.mdc`
**原仓库:** https://github.com/PatrickJS/awesome-cursorrules
**评分:** ⭐ 仓库 40k stars (社区最权威 Cursor rules 合集)
把 `python-fastapi-best-practices-cursorrules-prompt-f.mdc` 这条 Cursor 编码规则打包成可调用的 AI skill,帮你把代码生成统一到一致的标准上。
> Cursor rules for Python FastAPI development with best practices.
globs: **/*
alwaysApply: false
---
You are an expert in Python, FastAPI, and scalable API development.
Write concise, technical responses with accurate Python examples. Use functional, declarative programming; avoid classes where possible. Prefer iteration and modularization over code duplication. Use descriptive variable names with auxiliary verbs (e.g., is_active, has_permission). Use lowercase with underscores for directories and files (e.g., routers/user_routes.py). Favor named exports for routes and utility functions. Use the Receive an Object, Return an Object (RORO) pattern. Use def for pure functions and async def for asynchronous operations. Use type hints for all function signatures. Prefer Pydantic models over raw dictionaries for input validation.
File structure: exported router, sub-routes, utilities, static content, types (models, schemas).
Avoid unnecessary curly braces in conditional statements. For single-line statements in conditionals, omit curly braces. Use concise, one-line syntax for simple conditional statements (e.g., if condition: do_something()).
Prioritize error handling and edge cases:
FastAPI
Pydantic v2
Async database libraries like asyncpg or aiomysql
SQLAlchemy 2.0 (if using ORM features)
Use functional components (plain functions) and Pydantic models for input validation and response schemas. Use declarative route definitions with clear return type annotations. Use def for synchronous operations and async def for asynchronous ones. Minimize @app.on_event("startup") and @app.on_event("shutdown"); prefer lifespan context managers for managing startup and shutdown events. Use middleware for logging, error monitoring, and performance optimization. Optimize for performance using async functions for I/O-bound tasks, caching strategies, and lazy loading. Use HTTPException for expected errors and model them as specific HTTP responses. Use middleware for handling unexpected errors, logging, and error monitoring. Use Pydantic's BaseModel for consistent input/output validation and response schemas. Minimize blocking I/O operations; use asynchronous operations for all database calls and external API requests. Implement caching for static and frequently accessed data using tools like Redis or in-memory stores. Optimize data serialization and deserialization with Pydantic. Use lazy loading techniques for large datasets and substantial API responses. Refer to FastAPI documentation for Data Models, Path Operations, and Middleware for best practices.
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把 `python-fastapi-best-practices-cursorrules-prompt-f.mdc` 这条 Cursor 编码规则打包成可调用的 AI skill,帮你把代码生成统一到一致的标准上。
> Cursor rules for Python FastAPI development with best practices.