fcc516c9b3
- Integrar Tesseract OCR para leer PDFs escaneados automáticamente - Detectar automáticamente si el PDF tiene texto o requiere OCR - Agregar servicio ocr_service.py con funciones de OCR - Actualizar Dockerfile con tesseract-ocr, tesseract-ocr-spa y poppler-utils - Agregar variables de configuración OCR (OCR_ENABLED, OCR_LANGUAGE, OCR_DPI, OCR_TIMEOUT) - Crear endpoint de debug para ver texto extraído (/api/v1/debug/extract-text) - Agregar scripts de instalación y prueba (install_ocr.ps1, test_ocr.py, debug_pdf.ps1) - Documentación completa (OCR_SETUP.md, DOCKER_OCR.md, COMO_PROBAR.md) - Actualizar docker-compose.yml con variables de entorno OCR - Modificar pdf_text.py para usar OCR cuando sea necesario - Actualizar requirements.txt con pytesseract, Pillow, pdf2image
38 lines
874 B
Docker
38 lines
874 B
Docker
FROM python:3.12-slim
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# Set working directory
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WORKDIR /app
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# Install system dependencies for PDF processing and OCR
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RUN apt-get update && apt-get install -y \
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libmupdf-dev \
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mupdf-tools \
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tesseract-ocr \
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tesseract-ocr-spa \
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poppler-utils \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements
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COPY requirements.txt .
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY app/ ./app/
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# Create non-root user
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RUN useradd -m -u 1000 appuser && \
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chown -R appuser:appuser /app
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USER appuser
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# Expose port
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EXPOSE 9876
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# Health check
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HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
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CMD python -c "import requests; requests.get('http://localhost:9876/health')" || exit 1
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# Run the application
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "9876"]
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