6737bd6db5
Python microservice (ocr-service/): - FastAPI app with /ocr and /health endpoints - Surya engine: transformer-based OCR for typewritten/modern handwriting - Kraken engine: historical HTR for Kurrent/Suetterlin with pure-Python polygon-to-quad approximation (gift wrapping + rotating calipers) - Eager model loading at startup via lifespan context manager - PDF download via httpx, page rendering via pypdfium2 at 300 DPI Java RestClientOcrClient: - Implements OcrClient + OcrHealthClient interfaces - Calls Python service via Spring RestClient - Health check with graceful fallback Docker Compose: - New ocr-service container (mem_limit 6g, no host ports) - Health check with start_period 60s for model loading - ocr_models volume for Kraken model files - Backend depends on ocr-service health Refs #226, #227 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
24 lines
593 B
Docker
24 lines
593 B
Docker
FROM python:3.11-slim
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WORKDIR /app
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# curl for healthcheck; libgomp1 for PyTorch CPU threading
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl \
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libgomp1 \
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&& rm -rf /var/lib/apt/lists/*
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# PyTorch CPU-only — separate layer; the whl/cpu index strips all CUDA variants (~2 GB saved)
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RUN pip install --no-cache-dir \
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torch==2.5.1 \
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--index-url https://download.pytorch.org/whl/cpu
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY . .
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EXPOSE 8000
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
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