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All services: admin-v2, studio-v2, website, ai-compliance-sdk, consent-service, klausur-service, voice-service, and infrastructure. Large PDFs and compiled binaries excluded via .gitignore.
50 lines
1.3 KiB
Docker
50 lines
1.3 KiB
Docker
# BreakPilot Transcription Worker
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# GPU-optimized container for faster-whisper + pyannote.audio
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#
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# Build: docker build -f Dockerfile.worker -t breakpilot-transcription-worker .
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# Run: docker run --gpus all breakpilot-transcription-worker
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FROM python:3.11-slim
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# Set environment variables
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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PIP_NO_CACHE_DIR=1 \
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PIP_DISABLE_PIP_VERSION_CHECK=1
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# Install system dependencies
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ffmpeg \
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libsndfile1 \
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git \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Create app user (non-root)
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RUN useradd --create-home --shell /bin/bash worker
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WORKDIR /app
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# Install Python dependencies for transcription
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COPY requirements-worker.txt .
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RUN pip install --no-cache-dir -r requirements-worker.txt
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# Copy worker package
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COPY transcription_worker/ ./transcription_worker/
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# Change ownership
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RUN chown -R worker:worker /app
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# Switch to non-root user
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USER worker
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# Create cache directories
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RUN mkdir -p /home/worker/.cache/huggingface \
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&& mkdir -p /tmp/transcriptions
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
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CMD python -c "from transcription_worker.transcriber import WhisperTranscriber; print('OK')" || exit 1
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# Entry point - RQ worker
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CMD ["python", "-m", "transcription_worker.worker"]
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