ppt-tool/backend/Dockerfile
Vadym Samoilenko ae511f1086 Speed up updates: hot-copy backend code, suppress GPU warnings
- update.sh: docker cp backend into running container + restart (no rebuild)
  Backend updates now take ~5s instead of 2min
- backend/Dockerfile: ORT_DISABLE_GPU=1 suppresses ONNX GPU discovery errors
  on CPU-only servers

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-20 17:49:48 +00:00

45 lines
1.4 KiB
Docker

FROM python:3.11-slim-bookworm AS builder
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
&& rm -rf /var/lib/apt/lists/*
WORKDIR /app
COPY pyproject.toml ./
RUN pip install --no-cache-dir uv && \
uv pip install --system --no-cache --index-strategy unsafe-best-match -r pyproject.toml
FROM python:3.11-slim-bookworm
RUN apt-get update && apt-get install -y --no-install-recommends \
libreoffice \
chromium \
fontconfig \
curl \
libgl1 \
libglib2.0-0 \
&& rm -rf /var/lib/apt/lists/*
ENV PUPPETEER_EXECUTABLE_PATH=/usr/bin/chromium
ENV APP_DATA_DIRECTORY=/app_data
ENV TEMP_DIRECTORY=/tmp/deckforge
ENV ORT_DISABLE_GPU=1
ENV ONNXRUNTIME_DEVICE=CPU
WORKDIR /app
COPY --from=builder /usr/local/lib/python3.11/site-packages /usr/local/lib/python3.11/site-packages
COPY --from=builder /usr/local/bin /usr/local/bin
COPY . .
# Pre-download ONNX embedding model so it's baked into the image
RUN mkdir -p chroma/models && \
curl -fsSL -o chroma/models/onnx.tar.gz \
https://chroma-onnx-models.s3.amazonaws.com/all-MiniLM-L6-v2/onnx.tar.gz && \
tar -xzf chroma/models/onnx.tar.gz -C chroma/models/
# Pre-build ChromaDB icons index so API starts instantly (not rebuilt each run)
RUN python -c "from services.icon_finder_service import ICON_FINDER_SERVICE; print('Icons index ready')"
EXPOSE 8000
CMD ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "8000"]