# 🐳 CBD AI Analytics Engine - Docker Configuration

# Production-ready Docker build for CBD AI Analytics Engine
FROM node:24.1.0-alpine AS production

# Install security updates
RUN apk update && apk upgrade && apk add --no-cache dumb-init

# Create non-root user
RUN addgroup -g 1001 -S nodejs && adduser -S cbd-analytics -u 1001 -G nodejs

# Set working directory
WORKDIR /app

# Copy package files
COPY package*.json ./

# Install production dependencies
RUN npm install --only=production

# Copy application files
COPY --chown=cbd-analytics:nodejs cbd-ai-analytics-engine.cjs ./
COPY --chown=cbd-analytics:nodejs src/ ./src/

# Set ownership
RUN chown -R cbd-analytics:nodejs /app

# Switch to non-root user
USER cbd-analytics

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
  CMD node -e "require('http').get('http://localhost:4700/health', (res) => { \
    if (res.statusCode === 200) process.exit(0); else process.exit(1); \
  }).on('error', () => process.exit(1));"

# Expose port
EXPOSE 4700

# Use dumb-init to handle signals properly
ENTRYPOINT ["dumb-init", "--"]

# Start the AI analytics engine
CMD ["node", "cbd-ai-analytics-engine.cjs"]