bvandeusen
ec03297382
ML deps (torch, transformers, onnxruntime, opencv) are ~4GB and stay out of the regular web/worker image. Models self-heal into /models on start (implemented in FC-2). HuggingFace cache vars point inside /models so weight downloads are persistent across restarts. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
39 lines
909 B
OCaml
39 lines
909 B
OCaml
# syntax=docker/dockerfile:1.7
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FROM python:3.12-slim
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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PIP_NO_CACHE_DIR=1 \
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PIP_DISABLE_PIP_VERSION_CHECK=1 \
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HF_HOME=/models/.huggingface \
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TRANSFORMERS_CACHE=/models/.huggingface \
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ML_MODEL_DIR=/models
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ffmpeg \
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libpq5 \
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libjpeg62-turbo \
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libwebp7 \
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libpng16-16 \
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libgl1 \
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libglib2.0-0 \
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ca-certificates \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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COPY requirements-ml.txt requirements.txt ./
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RUN pip install -r requirements-ml.txt
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COPY backend/ ./backend/
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COPY alembic/ ./alembic/
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COPY alembic.ini ./
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COPY entrypoint.sh ./
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RUN chmod +x entrypoint.sh
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# Models self-heal into /models on first start (FC-2 implements this)
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VOLUME ["/models"]
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ENTRYPOINT ["./entrypoint.sh"]
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CMD ["ml-worker"]
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