juicebox-deploy-integration

# Juicebox Deploy Integration ## Overview Deploy a containerized Juicebox AI analysis integration service with Docker. This skill covers building a production image that connects to the Juicebox API for managing datasets, running AI-powered analyses, and retrieving structured insights. Includes environment configuration for dataset access and analysis pipelines, health checks that verify API connectivity and dataset availability, and rolling update strategies for zero-downtime deployments serving real-time analysis results. ## Docker Configuration ```dockerfile FROM node:20-slim AS builder WORKDIR /app COPY package*.json ./ RUN npm ci COPY tsconfig.json ./ COPY src/ ./src/ RUN npm run build FROM node:20-slim RUN addgroup --system app && adduser --system --ingroup app app WORKDIR /app COPY --from=builder /app/dist ./dist COPY --from=builder /app/node_modules ./node_modules COPY package*.json ./ USER app EXPOSE 3000 HEALTHCHECK --interval=30s --timeout=5s --retries=3 \ CMD curl -f http://localhost:3000/health || exit 1 CMD ["node", "dist/index.js"] ``` ## Environment Variables ```bash export JUICEBOX_API_KEY="jb_live_xxxxxxxxxxxx" export JUICEBOX_BASE_URL="https://api.juicebox.ai/v1" export JUICEBOX_WORKSPACE_ID="ws_xxxxxxxxxxxx" export LOG_LEVEL="info" export PORT="3000" export NODE_ENV="production" ``` ## Health Check Endpoint ```typescript import express from 'express'; const app = express(); app.get('/health', async (req, res) => { try { const response = ...