# CUDA Quantum MCP Server - Production Docker Image
# Multi-stage build for optimized production deployment

# Stage 1: Build environment
FROM node:18-slim AS builder

# Install build dependencies
RUN apt-get update && apt-get install -y \
    python3 \
    python3-pip \
    build-essential \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /app

# Copy package files
COPY package*.json ./
COPY tsconfig.json ./

# Install Node.js dependencies
RUN npm ci --only=production && npm cache clean --force

# Copy source code
COPY src/ ./src/
COPY python/ ./python/

# Build TypeScript
RUN npm run build

# Stage 2: Production runtime
FROM nvidia/cuda:11.8-runtime-ubuntu22.04

# Install runtime dependencies
RUN apt-get update && apt-get install -y \
    nodejs \
    npm \
    python3 \
    python3-pip \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Create app user
RUN groupadd -r quantum && useradd -r -g quantum quantum

# Set working directory
WORKDIR /app

# Install CUDA Quantum
RUN pip3 install --no-cache-dir cudaq numpy scipy

# Copy built application
COPY --from=builder /app/dist ./dist/
COPY --from=builder /app/node_modules ./node_modules/
COPY --from=builder /app/python ./python/
COPY package*.json ./

# Copy configuration
COPY .env.example ./.env
COPY README.md ./

# Create logs directory
RUN mkdir -p logs && chown -R quantum:quantum /app

# Switch to non-root user
USER quantum

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
    CMD node -e "console.log('Health check passed')" || exit 1

# Expose port (for HTTP interface if needed)
EXPOSE 3000

# Environment variables
ENV NODE_ENV=production
ENV CUDAQ_DEFAULT_TARGET=qpp-cpu
ENV LOG_LEVEL=info
ENV PYTHONPATH=/app/python

# Start command
CMD ["node", "dist/index.js"]