How does it handle real-time data streaming?

The skill includes patterns for both WebSockets (bidirectional) and Server-Sent Events (one-way streaming), including authentication and connection management logic.

When should I use async vs sync in FastAPI?

Use async for I/O-bound tasks like database queries or external API calls. Use sync (def) for CPU-bound computations to allow FastAPI to run them in a separate thread pool and avoid blocking the event loop.

Does this skill support SQLAlchemy and MongoDB?

Yes, it provides specific implementation patterns for SQLAlchemy's async session, asyncpg for raw PostgreSQL performance, and Motor for asynchronous MongoDB operations.

Can I use this for long-running background tasks?

Absolutely. It demonstrates how to use FastAPI's BackgroundTasks to trigger 'fire-and-forget' operations that continue running after the HTTP response has been sent to the user.

FastAPI Async Patterns

Name: FastAPI Async Patterns
Author: TheBushidoCollective

byTheBushidoCollective

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API 개발

Implements high-performance asynchronous patterns in FastAPI for building concurrent, non-blocking APIs and real-time services.

소개

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.

주요 기능

Real-time bidirectional communication via authenticated WebSockets
72 GitHub stars
Efficient streaming of large files and Server-Sent Events (SSE)
Async vs. Sync route handler optimization for I/O and CPU tasks
Background task management for non-blocking post-response processing
Asynchronous database integration for SQL, PostgreSQL (asyncpg), and MongoDB

사용 사례

Implementing real-time dashboards or chat systems using WebSockets and SSE
Optimizing database-heavy applications with non-blocking ORM patterns
Building high-concurrency I/O-bound microservices that scale effectively

소개

주요 기능

Real-time bidirectional communication via authenticated WebSockets
72 GitHub stars
Efficient streaming of large files and Server-Sent Events (SSE)
Async vs. Sync route handler optimization for I/O and CPU tasks
Background task management for non-blocking post-response processing
Asynchronous database integration for SQL, PostgreSQL (asyncpg), and MongoDB

사용 사례

Implementing real-time dashboards or chat systems using WebSockets and SSE
Optimizing database-heavy applications with non-blocking ORM patterns
Building high-concurrency I/O-bound microservices that scale effectively