Juicebox ci integration
'Configure Juicebox CI/CD.From its SKILL.md
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SKILL.md
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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' }
- run: npm ci
- run: npm run test:integration
env:
JUICEBOX_API_KEY: ${{ secrets.JUICEBOX_API_KEY }}
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', rowCount: 50000 }],
}),
})),
}));
describe('Juicebox Service', () => {
it('creates an analysis from dataset', async () => {
const result = await analyzeDataset('ds_xyz', 'What drove revenue growth?');
expect(result.analysisId).toBe('ana_abc123');
expect(result.status).toBe('processing');
});
it('retrieves completed analysis with insights', async () => {
const results = await getAnalysisResults('ana_abc123');
expect(results.status).toBe('completed');
expect(results.results.insights).toHaveLength(2);
});
});
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.
What ships with it: 1 file
3.0 KB alongside SKILL.md
references/
- implementation-guide.md3.0 KB