Dockerfile

# ===========================================================================
#  Agent P-DF — Table Extractor (CPU Portable)
#  Multi-stage build: Node (frontend) → Python (backend)
# ===========================================================================

# --- Stage 1: Build React frontend ---
FROM node:20-slim AS frontend-build
WORKDIR /build
COPY web/package.json web/package-lock.json ./
RUN npm ci --no-audit --no-fund
COPY web/ ./
RUN npm run build

# --- Stage 2: Python runtime ---
FROM python:3.12-slim

# Install uv
COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv

RUN apt-get update && apt-get install -y --no-install-recommends \
        libgl1 libglib2.0-0 libgomp1 && \
    rm -rf /var/lib/apt/lists/*

WORKDIR /app

COPY pyproject.toml uv.lock ./
RUN uv sync --frozen --no-dev --no-install-project

# Copy machine learning models directly into the image
COPY TATR_TD/ /models/TATR_TD/
COPY TableStructureRecognition/ /models/TableStructureRecognition/
COPY ocr_models/ /models/ocr_models/

# Copy Backend Python files
COPY pipeline.py export.py server.py app.py ./

# Copy built frontend from stage 1
COPY --from=frontend-build /build/dist ./web/dist/

# Set environment paths and force CPU inference
ENV TD_MODEL_DIR=/models/TATR_TD
ENV TSR_MODEL_DIR=/models/TableStructureRecognition
ENV OCR_MODEL_DIR=/models/ocr_models
ENV PIPELINE_DEVICE=cpu
ENV PREWARM_PIPELINE_ON_STARTUP=1
ENV PORT=7860
ENV PATH="/app/.venv/bin:$PATH"

EXPOSE 7860

CMD ["python3", "app.py"]