# PaddleOCR-VL Full Pipeline (PP-DocLayoutV2 + PaddleOCR-VL + Structured Output)
# Self-contained GPU image with complete document parsing pipeline
FROM nvidia/cuda:12.4.0-devel-ubuntu22.04

LABEL maintainer="Task Venture Capital GmbH <hello@task.vc>"
LABEL description="PaddleOCR-VL Full Pipeline - Layout Detection + VL Recognition + JSON/Markdown Output"
LABEL org.opencontainers.image.source="https://code.foss.global/host.today/ht-docker-ai"

# Environment configuration
ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1
ENV HF_HOME=/root/.cache/huggingface
ENV PADDLEOCR_HOME=/root/.paddleocr
ENV SERVER_PORT=8000
ENV SERVER_HOST=0.0.0.0
ENV VLM_PORT=8080

# Set working directory
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    python3.11 \
    python3.11-venv \
    python3.11-dev \
    python3-pip \
    libgl1-mesa-glx \
    libglib2.0-0 \
    libgomp1 \
    libsm6 \
    libxext6 \
    libxrender1 \
    curl \
    git \
    wget \
    && rm -rf /var/lib/apt/lists/* \
    && update-alternatives --install /usr/bin/python python /usr/bin/python3.11 1 \
    && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1

# Create and activate virtual environment
RUN python -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"

# Upgrade pip
RUN pip install --no-cache-dir --upgrade pip setuptools wheel

# Install PaddlePaddle GPU (CUDA 12.x)
RUN pip install --no-cache-dir \
    paddlepaddle-gpu==3.2.1 \
    --extra-index-url https://www.paddlepaddle.org.cn/packages/stable/cu126/

# Install PaddleOCR with doc-parser (includes PP-DocLayoutV2)
RUN pip install --no-cache-dir \
    "paddleocr[doc-parser]" \
    safetensors

# Install PyTorch with CUDA support
RUN pip install --no-cache-dir \
    torch==2.5.1 \
    torchvision \
    --index-url https://download.pytorch.org/whl/cu124

# Install transformers for PaddleOCR-VL inference (no vLLM - use local inference)
# PaddleOCR-VL requires transformers>=4.55.0 for use_kernel_forward_from_hub
RUN pip install --no-cache-dir \
    transformers>=4.55.0 \
    accelerate \
    hf-kernels

# Install our API server dependencies
RUN pip install --no-cache-dir \
    fastapi \
    uvicorn[standard] \
    python-multipart \
    httpx \
    pillow

# Copy server files
COPY image_support_files/paddleocr_vl_full_server.py /app/server.py
COPY image_support_files/paddleocr_vl_full_entrypoint.sh /usr/local/bin/entrypoint.sh
RUN chmod +x /usr/local/bin/entrypoint.sh

# Expose ports (8000 = API, 8080 = internal VLM server)
EXPOSE 8000

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=600s --retries=3 \
    CMD curl -f http://localhost:8000/health || exit 1

ENTRYPOINT ["/usr/local/bin/entrypoint.sh"]