juicebox-ci-integration

# 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 ```yaml # .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 ```typescript // 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()...