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AutoGPT/autogpt_platform/autogpt_libs
Zamil Majdy af7d56612d fix(logging): remove uvicorn log config to prevent startup deadlock (#10638)
## Problem
After applying the CloudLoggingHandler fix to use
BackgroundThreadTransport (#10634), scheduler pods entered a new
deadlock during startup when uvicorn reconfigures logging.

## Root Cause
When uvicorn starts with a log_config parameter, it calls
`logging.config.dictConfig()` which:
1. Calls `_clearExistingHandlers()` 
2. Which calls `logging.shutdown()`
3. Which tries to `flush()` all handlers including CloudLoggingHandler
4. CloudLoggingHandler with BackgroundThreadTransport tries to flush its
queue
5. The background worker thread tries to acquire the logging module lock
to check log levels
6. **Deadlock**: shutdown holds lock waiting for flush to complete,
worker thread needs lock to continue

## Thread Dump Evidence
From py-spy analysis of the stuck pod:
- **Thread 21 (FastAPI)**: Stuck in `flush()` waiting for background
thread to drain queue
- **Thread 13 (google.cloud.logging.Worker)**: Waiting for logging lock
in `isEnabledFor()`
- **Thread 1 (MainThread)**: Waiting for logging lock in `getLogger()`
during SQLAlchemy import
- **Threads 30, 31 (Sentry)**: Also waiting for logging lock

## Solution
Set `log_config=None` for all uvicorn servers. This prevents uvicorn
from calling `dictConfig()` and avoids the deadlock entirely.

**Trade-off**: Uvicorn will use its default logging configuration which
may produce duplicate log entries (one from uvicorn, one from the app),
but the application will start successfully without deadlocks.

## Changes
- Set `log_config=None` in all uvicorn.Config() calls
- Remove unused `generate_uvicorn_config` imports

## Testing
- [x] Verified scheduler pods can start and become healthy
- [x] Health checks respond properly  
- [x] No deadlocks during startup
- [x] Application logs still appear (though may be duplicated)

## Related Issues
- Fixes the startup deadlock introduced after #10634
2025-08-14 05:31:47 +07:00
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AutoGPT Libs

This is a new project to store shared functionality across different services in the AutoGPT Platform (e.g. authentication)