# 1. Start with a lean and official Python base image
FROM python:3.10-slim

# Install dependencies for psycopg2 (libpq-dev is still needed)
# ffmpeg is NO LONGER needed for this version
RUN apt-get update && apt-get install -y libpq-dev && rm -rf /var/lib/apt/lists/*

# 2. Set the working directory inside the container
WORKDIR /app

# 3. Create a non-root user and set up cache
RUN useradd -m -u 1000 user
RUN mkdir -p /app/.cache && chown -R user:user /app/.cache
ENV HF_HOME="/app/.cache"
USER user

# Add local bin directory to PATH
ENV PATH="/home/user/.local/bin:${PATH}"

# 4. Copy and install dependencies
COPY --chown=user:user requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# 5. Copy the app source code
COPY --chown=user:user . .

# 6. Expose the port used by Hugging Face Spaces
EXPOSE 7860

# 7. Run the FastAPI app using Uvicorn
# This assumes your file is named "main.py". If you named it "browser_main.py",
# change "main:app" to "browser_main:app"
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]