# Dockerfile for Bhagwad Gita RAG Chatbot on Hugging Face Spaces
# Based on: https://huggingface.co/docs/hub/spaces-sdks-docker

FROM python:3.9-slim

# Set up a new user named "user" with user ID 1000 (HF Spaces requirement)
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

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

# Try and run pip command after setting the user to avoid permission issues
RUN pip install --no-cache-dir --upgrade pip

# Copy requirements first for better caching
COPY --chown=user requirements.txt .

# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Copy the current directory contents into the container
COPY --chown=user . .

# Create data directory and ensure proper permissions
RUN mkdir -p dataset && chmod 755 dataset

# Expose the port that HF Spaces expects (7860)
EXPOSE 7860

# Set environment variables for HF Spaces
ENV API_HOST=0.0.0.0
ENV API_PORT=7860
ENV ENVIRONMENT=production

# Health check
HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:7860/health || exit 1

# Start the FastAPI application on port 7860 (HF Spaces requirement)
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]