Dockerfile

# Multi-stage build for Insurance Intelligence AI Assistant
FROM python:3.11-slim as builder

# Set working directory
WORKDIR /app

# Install system dependencies for building
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    libpq-dev \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements first for better caching
COPY requirements.txt .

# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt && \
    pip install --no-cache-dir chromadb streamlit-modal langgraph

# Production stage
FROM python:3.11-slim

# Set working directory
WORKDIR /app

# Install runtime dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    libpq5 \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Copy installed packages from builder
COPY --from=builder /usr/local/lib/python3.11/site-packages /usr/local/lib/python3.11/site-packages
COPY --from=builder /usr/local/bin /usr/local/bin

# Copy application code
COPY . .

# Create directory for ChromaDB data (will be mounted as volume)
RUN mkdir -p /app/database/chromadb/data

# Expose Streamlit port
EXPOSE 8501

# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1
ENV STREAMLIT_SERVER_PORT=8501
ENV STREAMLIT_SERVER_ADDRESS=0.0.0.0

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:8501/_stcore/health || exit 1

# Run Streamlit app
CMD ["streamlit", "run", "ui/app.py", "--server.port=8501", "--server.address=0.0.0.0"]