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47 lines
1.8 KiB
Docker
47 lines
1.8 KiB
Docker
# Production Dockerfile for MotoVaultPro OCR Service
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# Uses mirrored base images from Gitea Package Registry
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#
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# Primary engine: PaddleOCR PP-OCRv4 (models baked into image)
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# Cloud fallback: Google Vision (optional, requires API key at runtime)
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# Build argument for registry (defaults to Gitea mirrors, falls back to Docker Hub)
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ARG REGISTRY_MIRRORS=git.motovaultpro.com/egullickson/mirrors
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FROM ${REGISTRY_MIRRORS}/python:3.13-slim
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# System dependencies
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# - libgomp1: OpenMP runtime required by PaddlePaddle
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# - libheif1/libheif-dev: HEIF image support (iPhone photos)
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# - libglib2.0-0: GLib shared library (OpenCV dependency)
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# - libmagic1: File type detection
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# - curl: Health check endpoint
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RUN apt-get update && apt-get install -y --no-install-recommends \
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libgomp1 \
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libheif1 \
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libheif-dev \
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libglib2.0-0 \
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libmagic1 \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Python dependencies
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WORKDIR /app
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COPY requirements.txt .
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# Install dependencies. PaddleX (transitive via paddleocr) pulls in the full
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# opencv-python which requires libGL.so.1. Force-reinstall the headless
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# variant afterwards so the container stays GUI-free.
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RUN pip install --no-cache-dir -r requirements.txt \
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&& pip install --no-cache-dir --force-reinstall opencv-python-headless
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# Pre-download PaddleOCR PP-OCRv4 models during build (not at runtime).
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# Models are baked into the image so container starts are fast and
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# no network access is needed at runtime for model download.
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ENV PADDLE_PDX_DISABLE_MODEL_SOURCE_CHECK=True
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RUN python -c "from paddleocr import PaddleOCR; PaddleOCR(ocr_version='PP-OCRv4', use_textline_orientation=True, lang='en', device='cpu', enable_mkldnn=False)" \
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&& echo "PaddleOCR PP-OCRv4 models downloaded and verified"
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COPY . .
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EXPOSE 8000
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
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