python-async: Скилл для асинхронного Python

--- name: python-async description: 'Consult this skill for async Python patterns and concurrency. Use when building async APIs, concurrent systems, I/O-bound applications, implementing rate limiting, async context managers. Do not use when CPU-bound optimization - use python-performance instead. DO NOT use when: testing async code - use python-testing async module.' version: 1.7.1 globs: "**/*.py" alwaysApply: false category: async tags: - python - async - asyncio - concurrency - await - coroutines tools: - async-analyzer - concurrency-checker usage_patterns: - async-api-development - concurrent-io - websocket-servers - background-tasks complexity: intermediate model_hint: standard estimated_tokens: 400 progressive_loading: true modules: - basic-patterns - concurrency-control - error-handling-timeouts - advanced-patterns - testing-async - real-world-applications - pitfalls-best-practices --- # Async Python Patterns asyncio and async/await patterns for Python applications. ## Quick Start ```python import asyncio async def main(): print("Hello") await asyncio.sleep(1) print("World") asyncio.run(main()) ``` ## When To Use - Building async web APIs (FastAPI, aiohttp) - Implementing concurrent I/O operations - Creating web scrapers with concurrent requests - Developing real-time applications (WebSockets) - Processing multiple independent tasks simultaneously - Building microservices with async communication ## When NOT To Use - CPU-bound optimization - use python-performance instead - Testing async code - use python-testing async module ## Modules This skill uses progressive loading. Content is organized into focused modules: - See `modules/basic-patterns.md` - Core async/await, gather(), and task management - See `modules/concurrency-control.md` - Semaphores and locks for rate limiting - See `modules/error-handling-timeouts.md` - Error handling, timeouts, and cancellation - See `modules/advanced-patterns.md` - Context managers, iterators, producer-consumer - See `modules/testing-async.md` - Testing with pytest-asyncio - See `modules/real-world-applications.md` - Web scraping and database operations - See `modules/pitfalls-best-practices.md` - Common mistakes and best practices Load specific modules based on your needs, or reference all for detailed guidance. ## Exit Criteria - Async patterns applied correctly - No blocking operations in async code - Proper error handling implemented - Rate limiting configured where needed - Tests pass with pytest-asyncio ## Troubleshooting ### Common Issues **RuntimeError: no current event loop** Use `asyncio.run()` as the entry point. Avoid `get_event_loop()` in Python 3.10+. **Blocking call in async context** Move sync I/O to `asyncio.to_thread()` or `loop.run_in_executor()`. **Tests hang indefinitely** Ensure pytest-asyncio is installed and test functions are decorated with `@pytest.mark.asyncio`.