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44 lines
1.3 KiB
Docker
44 lines
1.3 KiB
Docker
# Dockerfile for svc_ocr - Uses base-ml image
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# Base image contains: FastAPI, database drivers, transformers, PyTorch, numpy, etc.
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# This Dockerfile adds OCR-specific dependencies and application code
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ARG REGISTRY=gitea.harkon.co.uk
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ARG OWNER=harkon
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ARG BASE_VERSION=v1.0.1
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FROM ${REGISTRY}/${OWNER}/base-ml:${BASE_VERSION}
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# Switch to root to install system and service-specific dependencies
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USER root
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# Install OCR runtime dependencies (Tesseract, poppler)
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RUN apt-get update && apt-get install -y \
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tesseract-ocr \
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tesseract-ocr-eng \
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poppler-utils \
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&& rm -rf /var/lib/apt/lists/*
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# Set working directory
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WORKDIR /app
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# Copy service-specific requirements and install
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COPY apps/svc_ocr/requirements.txt /tmp/service-requirements.txt
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RUN pip install --no-cache-dir -r /tmp/service-requirements.txt
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# Copy application code
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COPY libs/ ./libs/
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COPY apps/svc_ocr/ ./apps/svc_ocr/
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# Set permissions and switch to non-root user
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RUN chown -R appuser:appuser /app
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USER appuser
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:8000/healthz || exit 1
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# Expose port
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EXPOSE 8000
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# Run the application
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CMD ["python", "-m", "uvicorn", "apps.svc_ocr.main:app", "--host", "0.0.0.0", "--port", "8000"]
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