FastAPI Async Patterns
Implements high-performance asynchronous patterns in FastAPI for building concurrent, non-blocking APIs and real-time services.
This skill provides specialized guidance for leveraging Python's asyncio within the FastAPI framework, enabling developers to build highly scalable web services. It covers essential patterns including async vs. sync route selection, asynchronous database integration with SQLAlchemy and Motor, and advanced real-time features like WebSockets and Server-Sent Events (SSE). By following these implementation patterns, developers can ensure their applications handle massive concurrency efficiently while maintaining clean, professional code structures.
Características Principales
01Real-time bidirectional communication via authenticated WebSockets
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03Efficient streaming of large files and Server-Sent Events (SSE)
04Async vs. Sync route handler optimization for I/O and CPU tasks
05Background task management for non-blocking post-response processing
06Asynchronous database integration for SQL, PostgreSQL (asyncpg), and MongoDB
Casos de Uso
01Implementing real-time dashboards or chat systems using WebSockets and SSE
02Optimizing database-heavy applications with non-blocking ORM patterns
03Building high-concurrency I/O-bound microservices that scale effectively