# Drop the pre-built NVIDIA container in favor of a clean, standardized Python base
FROM python:3.10-slim

# Install git, compiler tools, and clean up apt indexes to keep image slim
RUN apt-get update && apt-get install -y \
    git \
    build-essential \
    && rm -rf /var/lib/apt/lists/*

ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH \
    PYTHONUNBUFFERED=1

RUN useradd -m -u 1000 user
WORKDIR $HOME/app

# Initialize the internal queue tracking DB file
RUN touch generation_cache_queue.db && chown user:user generation_cache_queue.db

COPY --chown=user requirements.txt $HOME/app/requirements.txt

RUN chown -R user:user $HOME/app
USER user

# Install matched stable PyTorch + CUDA binaries along with your dependencies
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir torch==2.4.0 torchvision==0.19.0 --index-url https://download.pytorch.org/whl/cu121 && \
    pip install --no-cache-dir -r requirements.txt

COPY --chown=user . $HOME/app

EXPOSE 7860

CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]