blocking-io-guard

You can detect blocking IO in Python asyncio code by running analysis scripts that scan the codebase for synchronous operations. This identifies performance bottlenecks that disrupt the event loop, ensuring smooth execution during backend modifications.

Your asyncio event loop likely freezes due to blocking IO operations in the backend code. Scanning the codebase for synchronous calls and verifying runtime anchors helps mitigate these regressions and restores smooth event loop operation.

Yes, you can scan specific directories like app, packages, and scripts for blocking IO. The analysis targets backend Python code in these paths to identify and guard against synchronous operations that hinder event loop performance.

Runtime anchor verification checks the effectiveness of specific code guards designed to protect against blocking IO regressions. It ensures that previously identified asynchronous safeguards continue to prevent synchronous operations during maintenance rounds.

No external dependencies are required beyond Python itself. The analysis relies on specific built-in scripts to scan the codebase, identify blocking IO, and test the effectiveness of runtime anchors without installing additional packages.

You should scan your Python codebase for blocking IO during backend code modifications and maintenance rounds. This prevents performance bottlenecks from entering the asyncio event loop and ensures smooth operation before deployment.