# GPU image following HF Spaces guidelines: https://huggingface.co/docs/hub/spaces-sdks-docker
# Use: docker build -f Dockerfile.gpu -t cristaniguti/nemaquant:gpu .
# Requires nvidia-container-toolkit on the host (provided by HF Spaces GPU instances).
# PyTorch CUDA wheels bundle their own cuDNN/CUDA libs, so base variant is sufficient.
FROM nvidia/cuda:12.8.1-base-ubuntu24.04

# Install Python 3.12 and pip
RUN apt-get update && apt-get install -y --no-install-recommends \
    python3.12 \
    python3.12-venv \
    python3-pip \
    libglib2.0-0 \
    && rm -rf /var/lib/apt/lists/*

# Make python3.12 the default python
RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.12 1 \
    && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.12 1

# add new user with ID 1000 to avoid permission issues on HF spaces
# Rename the existing UID 1000 user ('ubuntu') to 'user' for HF Spaces compatibility
RUN usermod -l user ubuntu && usermod -d /home/user -m user
USER user

# Set home to user's home dir and add local bin to PATH
# PYTHONPATH is set explicitly so packages are found even when HOME is overridden
# (e.g. by Apptainer --cleanenv, which resets HOME to the host user's home)
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH \
    PYTHONPATH=/home/user/.local/lib/python3.12/site-packages

# Set the working directory in the container
WORKDIR $HOME/app

COPY --chown=user ./requirements.txt .
RUN pip install --no-cache-dir --break-system-packages torch==2.7.1 torchvision --index-url https://download.pytorch.org/whl/cu128
RUN pip install --no-cache-dir --break-system-packages --only-binary :all: -r requirements.txt
# Force headless opencv after ultralytics (which pulls in full opencv-python as a dependency)
RUN pip install --no-cache-dir --break-system-packages --force-reinstall opencv-python-headless==4.13.0.92

# Copy the current directory contents into the container
COPY --chown=user . $HOME/app

# Create the necessary dirs
RUN mkdir -p uploads results annotated .yolo_config

# Point YOLO config to /tmp so it is writable under Apptainer (read-only SIF)
# and HF Spaces. /home/user/app/.yolo_config is kept in the image but only used
# as a fallback when the container filesystem is writable (plain Docker).
ENV YOLO_CONFIG_DIR=/tmp/nemaquant/.yolo_config

EXPOSE 7860

CMD ["python", "/home/user/app/app.py"]