PyO3 Performance Patterns

What problem does it solve?

This Skill addresses performance bottlenecks in Python extensions built with PyO3, particularly concerning asynchronous operations and GIL management.

Core Features & Use Cases

• Async Optimization: Leverages pyo3_async_runtimes for significantly faster async Python callbacks compared to spawn_blocking.
• GIL Management: Provides guidance on correctly releasing the GIL before awaiting and using Python::attach() over with_gil().
• Safe spawn_blocking Usage: Differentiates between long operations (OCR) and quick operations (PostProcessor/Validator) to prevent deadlocks.
• Use Case: Improve the responsiveness of a Python web framework that uses PyO3 for performance-critical backend tasks by ensuring efficient async handling.

Quick Start

Apply the PyO3 performance patterns to optimize the async callbacks in your Rust extension.