- Implement periodic filesystem write permission checks (60-minute intervals)
- Add real-time health status monitoring with SSE endpoints
- Display system health banner when storage issues detected
- Limit compression to 1 concurrent job with queue support
- Add max queue limit of 10 pending jobs
- Show queue positions for pending compression jobs
- Update button text dynamically (Start/Queue Compression)
- Enable write access to footage mount in Docker
- Add comprehensive logging for health checks and compression
Co-Authored-By: Alihan <alihan@example.com>
Resolved critical issue where compression jobs would get stuck at random
progress percentages (e.g., 35.5%) due to pipe buffer deadlock.
**Root Cause:**
- Python code only read ffmpeg's stdout for progress updates
- ffmpeg's stderr pipe buffer (64KB) would fill with output
- ffmpeg blocked writing to stderr, Python blocked reading stdout
- Result: deadlock with job appearing stuck but ffmpeg still using CPU
**Fixes:**
- Read stdout and stderr concurrently using asyncio.gather()
- Prevents pipe buffer deadlock by consuming both streams
- Added watchdog timer to detect genuinely stuck jobs (5 min timeout)
- Improved error logging with stderr capture
- Better error messages showing exact failure reason
**Additional Improvements:**
- Watchdog sets job.error with informative message before killing
- Captures last 50 lines of stderr on failure for debugging
- Enhanced cancellation handling with multiple checkpoints
Tested with previously stuck video file - progress now updates
continuously throughout encoding process.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- React frontend with video/image browser
- Python FastAPI backend with video compression
- Docker containerized setup
- Video compression with FFmpeg (two-pass encoding)
- Real-time job monitoring with SSE
- Global active jobs monitor
- Clickable header to reset navigation
- Toast notifications for user feedback
