# AI Detector Dockerfile
FROM python:3.9-slim

# Install system dependencies (git is required for some pip packages)
USER root
RUN apt-get update && apt-get install -y \
    git \
    && rm -rf /var/lib/apt/lists/*

# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user

# Switch to the "user" user
USER user

# Set home to the user's home directory
ENV HOME=/home/user \
    PATH="/home/user/.local/bin:$PATH" \
    PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    MODELS_DIR=/home/user/app/saved_models \
    PORT=7860

# Set the working directory to the user's home directory
WORKDIR $HOME/app

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

# Install requirements
# 1. Install CPU-only torch first to save space (Free tier has no GPU)
RUN pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu

# 2. Install other dependencies
RUN pip install --no-cache-dir --upgrade -r requirements.txt



# Download/Cache Models during build
# Ensure the models directory exists
RUN mkdir -p $MODELS_DIR
RUN python download_model.py

# Expose port 7860
EXPOSE 7860

# Start the application using uvicorn
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]