Spaces:
Paused
Paused
adding worker daemon
Browse files- Dockerfile +4 -1
- worker/daemon.py +210 -0
Dockerfile
CHANGED
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@@ -53,9 +53,12 @@ RUN mkdir -p vector_store logs
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# Expose port 7860 (used by Hugging Face Spaces)
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EXPOSE 7860
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# Health check
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HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:7860/docs || exit 1
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# Run the FastAPI app via Uvicorn
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-
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]
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# Expose port 7860 (used by Hugging Face Spaces)
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EXPOSE 7860
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# Install PyTorch with CUDA support (will fall back to CPU if no GPU)
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RUN pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
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# Health check
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HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:7860/docs || exit 1
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# Run the FastAPI app via Uvicorn
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]
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worker/daemon.py
ADDED
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@@ -0,0 +1,210 @@
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import asyncio
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import os
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import time
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import signal
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import sys
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from datetime import datetime
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import traceback
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import logging
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from sqlalchemy.future import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy.exc import SQLAlchemyError
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from app.database import AsyncSessionLocal, init_db, close_db
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from app.models import VideoUpload
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from app.utils import whisper_llm, pdf, s3, lightweight_agentic
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# Setup logging with UTF-8 encoding for Windows compatibility
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logging.basicConfig(
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level=logging.INFO,
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format='[%(asctime)s] %(levelname)s - %(name)s - %(message)s',
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handlers=[
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logging.StreamHandler(sys.stdout), # Use stdout for better encoding
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logging.FileHandler('worker.log', encoding='utf-8')
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]
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)
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logger = logging.getLogger("worker.daemon")
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POLL_INTERVAL = 60 # seconds
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SHUTDOWN_EVENT = asyncio.Event()
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def signal_handler(signum, frame):
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"""Handle shutdown signals gracefully"""
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logger.info(f"Received signal {signum}, initiating graceful shutdown...")
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SHUTDOWN_EVENT.set()
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async def process_pending_videos():
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"""Process all pending video uploads"""
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async with AsyncSessionLocal() as session:
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try:
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# Query for pending videos
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result = await session.execute(
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select(VideoUpload).where(VideoUpload.status == "pending")
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)
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pending_videos = result.scalars().all()
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if not pending_videos:
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logger.info("No pending videos found")
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return
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logger.info(f"Found {len(pending_videos)} pending videos to process")
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for video in pending_videos:
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if SHUTDOWN_EVENT.is_set():
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logger.info("Shutdown requested, stopping video processing")
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break
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logger.info(f"Processing video ID {video.id} for user {video.user_id}")
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try:
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# Update status to processing
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video.status = "processing"
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video.updated_at = datetime.utcnow()
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await session.commit()
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# Process with Lightweight Agentic Analysis (Groq + Llama3)
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try:
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transcription, summary = await lightweight_agentic.analyze_with_lightweight_agentic(
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video_url=video.video_url,
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user_id=video.user_id,
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db=session
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)
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logger.info(f"Lightweight agentic analysis completed for video {video.id}")
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except Exception as agentic_error:
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logger.warning(f"Lightweight agentic analysis failed, falling back to basic Whisper: {agentic_error}")
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transcription, summary = await whisper_llm.analyze(
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video_url=video.video_url,
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user_id=video.user_id,
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db=session
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)
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logger.info(f"Basic Whisper analysis completed for video {video.id}")
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except Exception as e:
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logger.error(f"Whisper failed for video {video.id}: {e}")
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logger.debug(traceback.format_exc())
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# Update status to failed
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video.status = "failed"
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video.updated_at = datetime.utcnow()
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await session.commit()
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continue
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try:
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# Generate PDF
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pdf_bytes = pdf.generate(transcription, summary)
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logger.info(f"PDF generation completed for video {video.id}")
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except Exception as e:
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logger.error(f"PDF generation failed for video {video.id}: {e}")
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logger.debug(traceback.format_exc())
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video.status = "failed"
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video.updated_at = datetime.utcnow()
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await session.commit()
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continue
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try:
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# Upload to S3
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pdf_key = f"pdfs/{video.id}.pdf"
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pdf_url = s3.upload_pdf_bytes(pdf_bytes, pdf_key)
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logger.info(f"S3 upload completed for video {video.id}")
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except Exception as e:
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logger.error(f"Upload to S3 failed for video {video.id}: {e}")
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logger.debug(traceback.format_exc())
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video.status = "failed"
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video.updated_at = datetime.utcnow()
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await session.commit()
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continue
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try:
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# Mark as completed
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video.status = "completed"
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video.pdf_url = pdf_url
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video.updated_at = datetime.utcnow()
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await session.commit()
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logger.info(f"Successfully completed video {video.id}")
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except SQLAlchemyError as e:
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logger.error(f"DB commit failed for video {video.id}: {e}")
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logger.debug(traceback.format_exc())
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await session.rollback()
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except SQLAlchemyError as e:
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logger.error(f"Database error: {e}")
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logger.debug(traceback.format_exc())
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except Exception as e:
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logger.error(f"Unexpected error in process_pending_videos: {e}")
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logger.debug(traceback.format_exc())
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async def run_worker():
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"""Main worker loop"""
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logger.info("Async worker daemon started...")
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# Initialize database
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try:
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await init_db()
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logger.info("Database initialized successfully")
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except Exception as e:
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logger.error(f"Failed to initialize database: {e}")
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return
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cycle_count = 0
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while not SHUTDOWN_EVENT.is_set():
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cycle_count += 1
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logger.info(f"Worker cycle {cycle_count} - Checking for pending videos...")
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try:
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await process_pending_videos()
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except Exception as e:
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logger.error(f"Worker loop error: {e}")
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logger.debug(traceback.format_exc())
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# Wait for next cycle or shutdown
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try:
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await asyncio.wait_for(SHUTDOWN_EVENT.wait(), timeout=POLL_INTERVAL)
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except asyncio.TimeoutError:
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# Normal timeout, continue to next cycle
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pass
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except Exception as e:
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logger.error(f"Error in worker wait: {e}")
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break
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logger.info("Worker loop stopped, cleaning up...")
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# Cleanup
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try:
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await close_db()
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logger.info("Database connections closed")
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except Exception as e:
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logger.error(f"Error during cleanup: {e}")
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async def main():
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"""Main entry point with signal handling"""
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# Setup signal handlers
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signal.signal(signal.SIGINT, signal_handler)
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signal.signal(signal.SIGTERM, signal_handler)
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try:
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await run_worker()
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except KeyboardInterrupt:
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logger.info("Keyboard interrupt received")
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except Exception as e:
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logger.error(f"Fatal error in main: {e}")
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logger.debug(traceback.format_exc())
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finally:
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logger.info("Worker daemon shutdown complete")
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if __name__ == "__main__":
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try:
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asyncio.run(main())
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except KeyboardInterrupt:
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logger.info("Worker daemon interrupted by user")
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except Exception as e:
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logger.error(f"Fatal error: {e}")
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sys.exit(1)
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