bc97a2dade
- POST /train in ocr-service with ZIP Slip validation, TemporaryDirectory, ketos transfer learning, timestamped backups (keep last 3), in-process reload - X-Training-Token auth (no-op in dev when TRAINING_TOKEN env is empty) - trainModel() in OcrClient interface + RestClientOcrClient (10-min timeout, multipart upload, forwards X-Training-Token when configured) - TRAINING_TOKEN env var wired in docker-compose; --workers 2 in Dockerfile so /health stays responsive during synchronous training Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
27 lines
773 B
Docker
27 lines
773 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; libvips for kraken PDF support
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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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libvips42 \
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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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# torchvision must also come from the CPU index to match torch's operator registrations
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RUN pip install --no-cache-dir \
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torch==2.7.1 \
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torchvision==0.22.1 \
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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", "--workers", "2"]
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