docling-studio/Dockerfile
Pier-Jean Malandrino 48b7d5d3e8 Use CPU-only torch in local image to reduce size from 5.8GB to 1.9GB
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).
2026-04-03 09:52:22 +02:00

77 lines
2.1 KiB
Docker

# syntax=docker/dockerfile:1
# =============================================================================
# Docling Studio — single-image build (frontend + backend, multi-target)
#
# Usage:
# docker build --target remote -t docling-studio:remote .
# docker build --target local -t docling-studio:local .
# =============================================================================
# --- Stage 1: Build frontend assets ---
FROM node:20-alpine AS frontend-build
ARG APP_VERSION=dev
WORKDIR /build
COPY frontend/package*.json ./
RUN npm ci
COPY frontend/ .
RUN VITE_APP_VERSION=${APP_VERSION} npm run build
# --- Stage 2: Base runtime (Python + Nginx) ---
FROM python:3.12-slim AS base
ARG APP_VERSION=dev
ENV APP_VERSION=${APP_VERSION}
# System deps: poppler (pdf2image), nginx
RUN apt-get update && apt-get install -y --no-install-recommends \
poppler-utils \
nginx \
&& rm -rf /var/lib/apt/lists/*
# Python deps (common)
WORKDIR /app
COPY document-parser/requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Backend code
COPY document-parser/ .
# Frontend static files
COPY --from=frontend-build /build/dist /usr/share/nginx/html
# Nginx config
COPY nginx.conf /etc/nginx/sites-enabled/default
# Non-root user
RUN useradd --create-home --shell /bin/bash appuser
# Data directories
RUN mkdir -p /app/uploads /app/data && chown -R appuser:appuser /app
ENV UPLOAD_DIR=/app/uploads
ENV DB_PATH=/app/data/docling_studio.db
EXPOSE 3000
CMD ["sh", "-c", "nginx && exec su appuser -c 'uvicorn main:app --host 127.0.0.1 --port 8000'"]
# --- Remote: lightweight, delegates to Docling Serve ---
FROM base AS remote
ENV CONVERSION_ENGINE=remote
# --- Local: full Docling in-process ---
FROM base AS local
RUN apt-get update && apt-get install -y --no-install-recommends \
libgl1 \
libglib2.0-0 \
&& rm -rf /var/lib/apt/lists/*
COPY document-parser/requirements-local.txt .
RUN pip install --no-cache-dir torch torchvision --index-url https://download.pytorch.org/whl/cpu \
&& pip install --no-cache-dir -r requirements-local.txt
RUN chown -R appuser:appuser /app
ENV CONVERSION_ENGINE=local