70 lines
2.5 KiB
Markdown
70 lines
2.5 KiB
Markdown
# QA: Declarative UI — Hashbrown — LangGraph (Python)
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## Prerequisites
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- Demo deployed at `/demos/declarative-hashbrown`
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- Railway service `showcase-langgraph-python-production` healthy
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- `OPENAI_API_KEY` set in the Railway environment
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- `@hashbrownai/core` + `@hashbrownai/react` installed in the package
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- `byoc_hashbrown` graph registered in `langgraph.json`
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## Test Steps
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### 1. Page load
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- [ ] Navigate to `/demos/declarative-hashbrown`
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- [ ] Header "Declarative UI: Hashbrown" visible
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- [ ] Short description mentioning `@hashbrownai/react` visible
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- [ ] Chat composer visible at the bottom of the chat area
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- [ ] 3 suggestion pills visible inside the composer with labels:
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"Sales dashboard", "Revenue by category", "Expense trend"
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- [ ] No red console errors (amber hydration warnings tolerated)
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### 2. Sales dashboard suggestion
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- [ ] Click the "Sales dashboard" pill
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- [ ] The prompt is dispatched automatically (useConfigureSuggestions sends
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the message on pill click)
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- [ ] Within 45 seconds, at least one MetricCard (`data-testid="metric-card"`)
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renders in the transcript
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- [ ] Within 45 seconds, at least one chart
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(`data-testid="bar-chart"` or `data-testid="pie-chart"`) renders
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- [ ] Rendered content streams progressively — partial UI appears before the
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full response completes (optional visual check)
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### 3. Revenue by category
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- [ ] Click "Revenue by category"
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- [ ] Within 45s, a pie chart (`data-testid="pie-chart"`) renders
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- [ ] Legend shows at least 4 segments with readable labels and values
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### 4. Expense trend
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- [ ] Click "Expense trend"
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- [ ] Within 45s, a bar chart (`data-testid="bar-chart"`) renders
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- [ ] Chart has at least 3 bars with month-like labels
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### 5. Free-form prompt
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- [ ] Type "Show me revenue trends for the last six months" and press Enter
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- [ ] Verify at least one catalog component renders (metric, chart, or deal)
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### 6. Multi-turn
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- [ ] After a first render completes, send a follow-up prompt
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(e.g. "Now break it down by region")
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- [ ] A new render appears alongside prior renders in the transcript
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### 7. Error handling
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- [ ] Empty send is a no-op (button stays disabled)
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- [ ] Console remains clean during successful flows
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## Expected Results
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- Suggestion pills produce a hashbrown render within 45 seconds
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- Streaming renders assemble progressively as JSON chunks arrive
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- No uncaught errors; no `useHashBrownKit must be used within
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HashBrownDashboard` errors
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- Multi-turn works without clearing prior renders
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