Dockerfile

# Enhanced Dockerfile for SharePoint AI Assistant
# Multi-stage build for optimized production image

# Build stage
FROM python:3.11-slim as builder

# Set build arguments
ARG BUILD_DATE
ARG VERSION=1.0.0
ARG VCS_REF

# Add metadata
LABEL maintainer="SharePoint AI Assistant Team" \
    version="${VERSION}" \
    description="Enhanced SharePoint AI Assistant with comprehensive error handling" \
    build-date="${BUILD_DATE}" \
    vcs-ref="${VCS_REF}"

# Set environment variables for build
ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    PIP_NO_CACHE_DIR=1 \
    PIP_DISABLE_PIP_VERSION_CHECK=1

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

# Create virtual environment
RUN python -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"

# Copy requirements and install Python dependencies
COPY requirements/base.txt /tmp/requirements.txt
RUN pip install --upgrade pip setuptools wheel && \
    pip install -r /tmp/requirements.txt

# Production stage
FROM python:3.11-slim as production

# Set environment variables
ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    PATH="/opt/venv/bin:$PATH" \
    STREAMLIT_SERVER_PORT=8501 \
    STREAMLIT_SERVER_ADDRESS=0.0.0.0 \
    STREAMLIT_SERVER_HEADLESS=true \
    STREAMLIT_BROWSER_GATHER_USAGE_STATS=false

# Install runtime dependencies
RUN apt-get update && apt-get install -y \
    curl \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get clean

# Copy virtual environment from builder stage
COPY --from=builder /opt/venv /opt/venv

# Create non-root user for security
RUN groupadd -r appuser && useradd -r -g appuser appuser

# Create application directory
WORKDIR /app

# Copy application code
COPY --chown=appuser:appuser . .

# Create necessary directories
RUN mkdir -p /app/logs /app/data && \
    chown -R appuser:appuser /app

# Switch to non-root user
USER appuser

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

# Expose port
EXPOSE 8501

# Default command
CMD ["streamlit", "run", "main.py", "--server.port=8501", "--server.address=0.0.0.0"]