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Fast-Whisper-MCP-Server/api.logs
Alihan 40555592e6 Fix deadlock in job queue and refactor Phase 2 tests 
- Fix: Change threading.Lock to threading.RLock in JobQueue to prevent deadlock
  - Issue: list_jobs() acquired lock then called get_job_status() which tried to acquire same lock
  - Solution: Use re-entrant lock (RLock) to allow nested lock acquisition (src/core/job_queue.py:144)

- Refactor: Update test_phase2.py to use real test.mp3 file
  - Changed _create_test_audio_file() to return /home/uad/agents/tools/mcp-transcriptor/data/test.mp3
  - Removed specific text assertion, now just verifies transcription is not empty
  - Tests use tiny model for speed while processing real 6.95s audio file

- Update: Improve audio validation error handling in transcriber.py
  - Changed validate_audio_file() to use exception-based validation
  - Better error messages for API responses

- Add: Job queue configuration to startup scripts
  - Added JOB_QUEUE_MAX_SIZE, JOB_METADATA_DIR, JOB_RETENTION_DAYS env vars
  - Added GPU health monitoring configuration
  - Create job metadata directory on startup
2025-10-10 00:11:36 +03:00

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INFO:__main__:======================================================================
INFO:__main__:PERFORMING STARTUP GPU HEALTH CHECK
INFO:__main__:======================================================================
INFO:faster_whisper:Processing audio with duration 00:01.512
INFO:faster_whisper:Detected language 'en' with probability 0.95
INFO:core.gpu_health:GPU health check passed: NVIDIA GeForce RTX 3060, test duration: 1.04s
INFO:__main__:======================================================================
INFO:__main__:STARTUP GPU CHECK SUCCESSFUL
INFO:__main__:GPU Device: NVIDIA GeForce RTX 3060
INFO:__main__:Memory Available: 11.66 GB
INFO:__main__:Test Duration: 1.04s
INFO:__main__:======================================================================
INFO:__main__:Starting Whisper REST API server on 0.0.0.0:8000
INFO: Started server process [69821]
INFO: Waiting for application startup.
INFO:__main__:Starting job queue and health monitor...
INFO:core.job_queue:Starting job queue (max size: 100)
INFO:core.job_queue:Loading jobs from /media/raid/agents/tools/mcp-transcriptor/outputs/jobs
INFO:core.job_queue:Loaded 8 jobs from disk
INFO:core.job_queue:Job queue worker loop started
INFO:core.job_queue:Job queue worker started
INFO:__main__:Job queue started (max_size=100, metadata_dir=/media/raid/agents/tools/mcp-transcriptor/outputs/jobs)
INFO:core.gpu_health:Starting GPU health monitor (interval: 10.0 minutes)
INFO:faster_whisper:Processing audio with duration 00:01.512
INFO:faster_whisper:Detected language 'en' with probability 0.95
INFO:core.gpu_health:GPU health check passed: NVIDIA GeForce RTX 3060, test duration: 0.37s
INFO:__main__:GPU health monitor started (interval=10 minutes)
INFO: Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
INFO: 127.0.0.1:48092 - "GET /jobs HTTP/1.1" 200 OK
INFO: 127.0.0.1:60874 - "GET /jobs?status=completed&limit=3 HTTP/1.1" 200 OK
INFO: 127.0.0.1:60876 - "GET /jobs?status=failed&limit=10 HTTP/1.1" 200 OK
INFO:core.job_queue:Running GPU health check before job submission
INFO:faster_whisper:Processing audio with duration 00:01.512
INFO:faster_whisper:Detected language 'en' with probability 0.95
INFO:core.gpu_health:GPU health check passed: NVIDIA GeForce RTX 3060, test duration: 0.39s
INFO:core.job_queue:GPU health check passed
INFO:core.job_queue:Job 6be8e49a-bdc1-4508-af99-280bef033cb0 submitted: /tmp/whisper_test_voice_1s.mp3 (queue position: 1)
INFO: 127.0.0.1:58376 - "POST /jobs HTTP/1.1" 200 OK
INFO:core.job_queue:Job 6be8e49a-bdc1-4508-af99-280bef033cb0 started processing
INFO:core.model_manager:Running GPU health check with auto-reset before model loading
INFO:faster_whisper:Processing audio with duration 00:01.512
INFO:faster_whisper:Detected language 'en' with probability 0.95
INFO:core.gpu_health:GPU health check passed: NVIDIA GeForce RTX 3060, test duration: 0.54s
INFO:core.model_manager:Loading Whisper model: tiny device: cuda compute type: float16
INFO:core.model_manager:Available GPU memory: 12.52 GB
INFO:core.model_manager:Enabling batch processing acceleration, batch size: 16
INFO:core.transcriber:Starting transcription of file: whisper_test_voice_1s.mp3
INFO:utils.audio_processor:Successfully preprocessed audio: whisper_test_voice_1s.mp3
INFO:core.transcriber:Using batch acceleration for transcription...
INFO:faster_whisper:Processing audio with duration 00:01.512
INFO:faster_whisper:VAD filter removed 00:00.000 of audio
INFO:faster_whisper:Detected language 'en' with probability 0.95
INFO:core.transcriber:Transcription completed, time used: 0.16 seconds, detected language: en, audio length: 1.51 seconds
INFO:core.transcriber:Transcription results saved to: /media/raid/agents/tools/mcp-transcriptor/outputs/whisper_test_voice_1s.txt
INFO:core.job_queue:Job 6be8e49a-bdc1-4508-af99-280bef033cb0 completed successfully: /media/raid/agents/tools/mcp-transcriptor/outputs/whisper_test_voice_1s.txt
INFO:core.job_queue:Job 6be8e49a-bdc1-4508-af99-280bef033cb0 finished: status=completed, duration=1.1s
INFO: 127.0.0.1:41646 - "GET /jobs/6be8e49a-bdc1-4508-af99-280bef033cb0 HTTP/1.1" 200 OK
INFO: 127.0.0.1:34046 - "GET /jobs/6be8e49a-bdc1-4508-af99-280bef033cb0/result HTTP/1.1" 200 OK
INFO:core.job_queue:Running GPU health check before job submission
INFO:faster_whisper:Processing audio with duration 00:01.512
INFO:faster_whisper:Detected language 'en' with probability 0.95
INFO:core.gpu_health:GPU health check passed: NVIDIA GeForce RTX 3060, test duration: 0.39s
INFO:core.job_queue:GPU health check passed
INFO:core.job_queue:Job 41ce74c0-8929-457b-96b3-1b8e4a720a7a submitted: /home/uad/agents/tools/mcp-transcriptor/data/test.mp3 (queue position: 1)
INFO: 127.0.0.1:44576 - "POST /jobs HTTP/1.1" 200 OK
INFO:core.job_queue:Job 41ce74c0-8929-457b-96b3-1b8e4a720a7a started processing
INFO:core.model_manager:Running GPU health check with auto-reset before model loading
INFO:faster_whisper:Processing audio with duration 00:01.512
INFO:faster_whisper:Detected language 'en' with probability 0.95
INFO:core.gpu_health:GPU health check passed: NVIDIA GeForce RTX 3060, test duration: 0.39s
INFO:core.model_manager:Loading Whisper model: large-v3 device: cuda compute type: float16
INFO:core.model_manager:Available GPU memory: 12.52 GB
INFO:core.model_manager:Enabling batch processing acceleration, batch size: 16
INFO:core.transcriber:Starting transcription of file: test.mp3
INFO:utils.audio_processor:Successfully preprocessed audio: test.mp3
INFO:core.transcriber:Using batch acceleration for transcription...
INFO:faster_whisper:Processing audio with duration 00:06.955
INFO:faster_whisper:VAD filter removed 00:00.299 of audio
INFO:core.transcriber:Transcription completed, time used: 0.52 seconds, detected language: en, audio length: 6.95 seconds
INFO:core.transcriber:Transcription results saved to: /media/raid/agents/tools/mcp-transcriptor/outputs/test.txt
INFO:core.job_queue:Job 41ce74c0-8929-457b-96b3-1b8e4a720a7a completed successfully: /media/raid/agents/tools/mcp-transcriptor/outputs/test.txt
INFO:core.job_queue:Job 41ce74c0-8929-457b-96b3-1b8e4a720a7a finished: status=completed, duration=23.3s
INFO: 127.0.0.1:59120 - "GET /jobs/41ce74c0-8929-457b-96b3-1b8e4a720a7a HTTP/1.1" 200 OK
INFO: 127.0.0.1:53806 - "GET /jobs/41ce74c0-8929-457b-96b3-1b8e4a720a7a/result HTTP/1.1" 200 OK
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