# Use NVIDIA CUDA base image with Python 3.10 (for x86_64 systems)
FROM nvidia/cuda:11.8-devel-ubuntu22.04

# Set environment variables
ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1
ENV CUDA_HOME=/usr/local/cuda
ENV PATH=${CUDA_HOME}/bin:${PATH}
ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}

# Install system dependencies
RUN apt-get update && apt-get install -y \
    python3.10 \
    python3.10-dev \
    python3-pip \
    python3.10-venv \
    git \
    wget \
    curl \
    build-essential \
    cmake \
    ninja-build \
    libopencv-dev \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    libgl1-mesa-glx \
    libglib2.0-0 \
    && rm -rf /var/lib/apt/lists/*

# Create symbolic links for python
RUN ln -sf /usr/bin/python3.10 /usr/bin/python3 && \
    ln -sf /usr/bin/python3.10 /usr/bin/python

# Upgrade pip and install build tools
RUN python3 -m pip install --upgrade pip setuptools wheel

# Install Cython first (required for some packages)
RUN pip install Cython==3.1.2

# Install PyTorch with CUDA 11.8 support
RUN pip install torch==2.7.1+cu128 torchvision==0.22.1+cu128 torchaudio==2.7.1+cu128 \
    --index-url https://download.pytorch.org/whl/cu128

# Install ninja (required for detectron2 compilation)
RUN pip install ninja==1.11.1.4

# Install fvcore and other detectron2 dependencies
RUN pip install fvcore==0.1.5.post20221221 \
    opencv-python==4.11.0.86 \
    matplotlib==3.9.4

# Install COCO API (pycocotools) - using the Windows-compatible version you used
RUN git clone https://github.com/philferriere/cocoapi.git && \
    cd cocoapi/PythonAPI && \
    python setup.py build_ext --inplace && \
    python setup.py install && \
    cd / && rm -rf cocoapi

# Install detectron2 from source (matching your successful installation)
RUN pip install --no-build-isolation 'git+https://github.com/facebookresearch/detectron2.git'

# Install remaining requirements
COPY requirements.txt /tmp/requirements.txt
RUN pip install -r /tmp/requirements.txt

# Create working directory
WORKDIR /app

# Copy your application files
COPY FINAL.py /app/
COPY speedtrack.py /app/

# Create necessary directories
RUN mkdir -p /app/xpctest /app/output_json /app/ins /app/xpc

# Set up runtime environment
ENV PYTHONPATH=/app:$PYTHONPATH

# Expose any ports if needed (uncomment if you add a web interface)
# EXPOSE 8000

# Default command
CMD ["python", "FINAL.py"]