48b7d5d3e8
Install torch and torchvision from the CPU-only index before docling to avoid pulling CUDA/nvidia/triton dependencies. Update documentation with measured image sizes (270MB remote, 1.9GB local).
55 lines
1.5 KiB
Docker
55 lines
1.5 KiB
Docker
# syntax=docker/dockerfile:1
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# =============================================================================
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# Docling Studio — backend image (multi-target: remote / local)
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#
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# Usage:
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# docker build --target remote -t docling-studio-backend:remote .
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# docker build --target local -t docling-studio-backend:local .
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# =============================================================================
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# --- Base: common deps for both targets ---
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FROM python:3.12-slim AS base
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RUN apt-get update && apt-get install -y --no-install-recommends \
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poppler-utils \
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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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RUN pip install --no-cache-dir -r requirements.txt
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COPY . .
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RUN useradd --create-home --shell /bin/bash appuser \
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&& mkdir -p /app/uploads /app/data \
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&& chown -R appuser:appuser /app
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EXPOSE 8000
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ENV UPLOAD_DIR=/app/uploads
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ENV DB_PATH=/app/data/docling_studio.db
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USER appuser
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
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# --- Remote: lightweight, delegates to Docling Serve ---
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FROM base AS remote
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ENV CONVERSION_ENGINE=remote
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# --- Local: full Docling in-process ---
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FROM base AS local
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USER root
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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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&& rm -rf /var/lib/apt/lists/*
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COPY requirements-local.txt .
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RUN pip install --no-cache-dir torch torchvision --index-url https://download.pytorch.org/whl/cpu \
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&& pip install --no-cache-dir -r requirements-local.txt
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RUN chown -R appuser:appuser /app
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USER appuser
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ENV CONVERSION_ENGINE=local
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