56a7662b8f
Drop transformers, matplotlib, geopy, and diskcache (~560MB) from dependencies — none are imported in the codebase. Replace single-stage poetry-based Docker build with a two-stage pip-based build: builder stage installs into a venv from an exported requirements.txt, runtime stage copies only the venv and app code. Eliminates poetry from the image (fixes ARM segfaults) and removes ~200MB of build tools from the final image.
43 lines
1,018 B
Docker
43 lines
1,018 B
Docker
# Stage 1: Build dependencies
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FROM python:3.13-slim AS builder
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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gcc \
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python3-dev \
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libopencv-dev \
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libmariadb-dev \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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COPY requirements.txt ./
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# Install dependencies into a venv using pip (no poetry needed)
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RUN python -m venv /app/.venv && \
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/app/.venv/bin/pip install --no-cache-dir -r requirements.txt
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# Stage 2: Runtime image
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FROM python:3.13-slim
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# Install only runtime system dependencies (no build tools)
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RUN apt-get update && apt-get install -y --no-install-recommends \
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libgl1 \
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libglib2.0-0 \
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tesseract-ocr \
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tesseract-ocr-eng \
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libmariadb3 \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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# Copy the venv from the builder stage
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COPY --from=builder /app/.venv /app/.venv
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ENV PATH="/app/.venv/bin:$PATH"
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# Copy the application code
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COPY . .
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EXPOSE 5001
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CMD ["uvicorn", "api.app:app", "--host", "0.0.0.0", "--port", "5001"]
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