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2026-07-13 12:58:18 +08:00

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