Dockerfile

# Dockerfile for Hugging Face Spaces deployment with full ML dependencies
# This image includes all ML libraries for Astra to function properly
# Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
# Image size: ~5GB | Build time: 15-30 minutes

FROM python:3.11-slim

# Create non-root user (required for Hugging Face Spaces)
RUN useradd -m -u 1000 user

# Set working directory
WORKDIR /app

# Install system dependencies (if needed)
RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements files with proper ownership
COPY --chown=user ./requirements.txt /app/requirements.txt
COPY --chown=user ./requirements_ml.txt /app/requirements_ml.txt

# Install Python dependencies (core + ML for full functionality)
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt && \
    pip install --no-cache-dir -r requirements_ml.txt

# Copy application files with proper ownership
COPY --chown=user ./main.py /app/main.py

# Switch to non-root user
USER user

# Set environment variables
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH \
    PYTHONUNBUFFERED=1

# Expose port 7860 (required by Hugging Face Spaces)
EXPOSE 7860

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:7860/health || exit 1

# Start FastAPI app on port 7860 (Hugging Face Spaces requirement)
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]