SKILL

fastapi-patterns

FastAPI 模式:异步 API、依赖注入、Pydantic 请求与响应模型、OpenAPI 文档、测试、安全及生产就绪。

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FastAPI patterns for async APIs, dependency injection, Pydantic request and response models, OpenAPI docs, tests, security, and production readiness.

适用对象:云服务、运维与安全。自动收录 · 待核查。

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原文涵盖的主题

  • FastAPI Patterns
  • When to Use
  • How It Works
  • Project Layout
  • Application Factory
  • Pydantic Schemas
  • Dependencies
  • Async Endpoints

Production-oriented patterns for FastAPI services. Building or reviewing a FastAPI app. Splitting routers, schemas, dependencies, and database access. Writing async endpoints that call a database or external service. Adding authentication, authorization, OpenAPI docs, tests, or deployment settings. Checking a FastAPI PR for copy-pasteable examples and production risks. Treat the FastAPI app as a thin HTTP layer over explicit dependencies and service code: main.py owns app construction, middleware, exception handlers, and router registration. schemas/ owns Pydantic request and response models. dependencies.py owns database, auth, pagination, and request-scoped dependencies. services/ or crud/ owns business and persistence operations. tests/ overrides dependencies instead of opening production resources. Prefer small routers and explicit responsemodel declarations. Keep raw ORM objects, secrets, and framework globals out of response schemas. Use a factory so tests and workers can build the app with controlled settings. Do not use alloworigins=[""] with allowcredentials=True; browsers reject that combination and Starlette disallows it for credentialed requests. Keep request, update, a

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原作者:affaan-m/ECC · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-09T14:01:48.593Z。

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