juicebox-ci-integration

name	juicebox-ci-integration
description	Configure Juicebox CI/CD. Trigger: "juicebox ci", "juicebox pipeline".
allowed-tools	Read, Write, Edit, Bash(npm:*), Grep
version	1.16.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","recruiting","juicebox"]
compatibility	Designed for Claude Code

Juicebox CI Integration

Overview

Set up CI/CD for Juicebox AI data analysis integrations: run unit tests with mocked dataset and analysis responses on every PR, validate live API connectivity for data queries on merge to main. Juicebox provides AI-powered data exploration and visualization, so CI pipelines verify dataset upload logic, analysis execution, and result parsing workflows.

GitHub Actions Workflow

# .github/workflows/juicebox-ci.yml
name: Juicebox CI
on:
  pull_request:
    paths: ['src/juicebox/**', 'tests/**']
  push:
    branches: [main]

jobs:
  unit-tests:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with: { node-version: '20' }
      - run: npm ci
      - run: npm test -- --reporter=verbose

  integration-tests:
    if: github.ref == 'refs/heads/main'
    needs: unit-tests
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with: { node-version: '20' }
         
          
        
             

Mock-Based Unit Tests

// tests/juicebox-service.test.ts
import { describe, it, expect, vi } from 'vitest';
import { analyzeDataset, getAnalysisResults } from '../src/juicebox-service';

vi.mock('../src/juicebox-client', () => ({
  JuiceboxClient: vi.fn().mockImplementation(() => ({
    createAnalysis: vi.fn().mockResolvedValue({
      analysisId: 'ana_abc123',
      status: 'processing',
      datasetId: 'ds_xyz',
    }),
    getAnalysis: vi.fn().mockResolvedValue({
      analysisId: 'ana_abc123',
      status: 'completed',
      results: {
        summary: 'Revenue increased 15% QoQ',
        charts: [{ type: 'bar', title: 'Revenue by Quarter' }],
        insights: ['Q4 drove majority of growth', 'APAC region outperformed'],
      },
    }),
    listDatasets: vi.fn().mockResolvedValue({
      datasets: [{ id: 'ds_xyz', name: 'Sales Data', :  }],
    }),
  })),
}));

(,  {
  (,  () => {
     result =  (, );
    (result.).();
    (result.).();
  });

  (,  () => {
     results =  ();
    (results.).();
    (results..).();
  });
});

Integration Tests

// tests/integration/juicebox.integration.test.ts
import { describe, it, expect } from 'vitest';

const hasKey = !!process.env.JUICEBOX_API_KEY;

describe.skipIf(!hasKey)('Juicebox Live API', () => {
  it('lists available datasets', async () => {
    const res = await fetch('https://api.juicebox.ai/v1/datasets', {
      headers: { Authorization: `Bearer ${process.env.JUICEBOX_API_KEY}` },
    });
    expect(res.status).toBe(200);
    const body = await res.json();
    expect(body).toHaveProperty('datasets');
  });
});

Error Handling

CI Issue	Cause	Fix
401 Unauthorized	Invalid API key	Regenerate at juicebox.ai account settings
Analysis stuck on processing	Large dataset or complex query	Increase polling timeout to 120s
Dataset not found (404)	Dataset ID changed or deleted	Use listDatasets to get a valid ID dynamically
Rate limit (429)	Too many concurrent analyses	Queue analyses and limit to 2 parallel runs
Empty insights array	Insufficient data for AI analysis	Ensure test dataset has 100+ rows with varied data

Resources

• Juicebox Documentation
• GitHub Actions Secrets

Next Steps

See juicebox-deploy-integration.