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

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

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

import express from 'express';

const app = express();

app.get('/health', async (req, res) => {
  try {
    const response = await fetch(`${process.env.JUICEBOX_BASE_URL}/datasets`, {
      headers: { 'Authorization': `Bearer ${process.env.JUICEBOX_API_KEY}` },
    });
    if (!response.ok) throw new Error(`Juicebox API returned ${response.status}`);
    res.json({ status: 'healthy', service: 'juicebox-integration', timestamp: new Date().toISOString() });
  } catch (error) {
    res.status(503).json({ status: 'unhealthy', error: (error as Error).message });
  }
});

Deployment Steps

Step 1: Build

docker build -t juicebox-integration:latest .

Step 2: Run

docker run -d --name juicebox-integration \
  -p 3000:3000 \
  -e JUICEBOX_API_KEY -e JUICEBOX_BASE_URL -e JUICEBOX_WORKSPACE_ID \
  juicebox-integration:latest

Step 3: Verify

curl -s http://localhost:3000/health | jq .

Step 4: Rolling Update

docker build -t juicebox-integration:v2 . && \
docker stop juicebox-integration && \
docker rm juicebox-integration && \
docker run -d --name juicebox-integration -p 3000:3000 \
  -e JUICEBOX_API_KEY -e JUICEBOX_BASE_URL -e JUICEBOX_WORKSPACE_ID \
  juicebox-integration:v2

Error Handling

Prerequisites

• An approved deployment change, secret references, sandbox workspace, source/destination allowlist, synthetic fixture, and tested rollback artifact.

Instructions

1. Build and test the pinned artifact with synthetic fixtures; reject literal credentials and unapproved sources or destinations.
2. Deploy to staging and verify health, source authority, suppression, data minimization, and contacts_exported=0 before production approval.
3. Release to one sandbox canary, monitor aggregate errors/quota/policy probes, and halt on any scope or retention drift.
4. Promote in stages only after owner approval; restore the prior revision and delete staged artifacts on failure.
5. Retain only the redacted receipt and revoke temporary deployment access.

Output

Produce a deployment receipt with artifact digest, environment, canary workspace, source/destination/suppression outcomes, export-count assertion, owner approval, rollout state, retention, and rollback reference. Exclude contacts, enrichment data, and secrets.

Examples

artifact=sha256:opaque; env=staging; canary=sandbox-prospects; source=approved; suppression=pass; contacts_exported=0; rollback=release-r31 supports controlled promotion.

Resources

• Juicebox API Docs

Next Steps

See juicebox-webhooks-events.