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User-facing renames so the showcase reads the way a cold visitor would
expect:
- `byoc-hashbrown` → `declarative-hashbrown` (and `byoc-json-render` →
`declarative-json-render`). The display titles already said
"Declarative UI: …"; only the URL slugs and folder paths still
leaked the internal BYOC ("Bring Your Own Components") jargon.
Renamed:
/demos/byoc-hashbrown → /demos/declarative-hashbrown
/demos/byoc-json-render → /demos/declarative-json-render
/api/copilotkit-byoc-* → /api/copilotkit-declarative-*
src/app/demos/byoc-* → src/app/demos/declarative-*
qa/byoc-*.md → qa/declarative-*.md
tests/e2e/byoc-*.spec.ts → tests/e2e/declarative-*.spec.ts
Internal Python module names + langgraph graph IDs stay legacy
(`byoc_hashbrown_agent.py`, `byoc_hashbrown`) — those are not
user-facing and renaming them is a separate cross-codebase pass.
- `a2ui-fixed-schema` slug intentionally unchanged.
- Tool Rendering trio parenthetical rename (Default → Catch-all →
Custom progression reads clearly as "how much do I customize?"):
Tool Rendering (Default) — unchanged
Tool Rendering (Custom default) → Tool Rendering (Catch-all)
Tool Rendering (Specific) → Tool Rendering (Custom)
- `tool-rendering-reasoning-chain` cell renamed from
"Generative UI: Rendering multiple tools" to
"Generative UI: Tool calls + reasoning" (the demo is about combining
reasoning + tool rendering, not about quantity of tools).
- `Open Generative UI: Default` / `Open Generative UI: Custom`
descriptions expanded so a visitor understands how Open Generative UI
differs from Tool Rendering (agent composes UI from a registered
library vs. attaching a renderer to a *named* backend tool).
- Showcase index now sorts demos within each tag by `manifest.features`
order. Previously demos appeared in manifest declaration order, which
ignored the team's curated "polished flagship → simplest start →
variants" arc.
Cross-cutting registry / harness / dashboard updates that fall out of
the rename:
- `shared/feature-registry.json` adds the two new IDs alongside the
legacy `byoc-*` (so the catalog stays valid; the other 17
integrations still declare `byoc-*` in their manifests).
- `shared/constraints.yaml` adds the new IDs to the
generative-ui-approach allow-list.
- `scripts/__tests__/generate-catalog.test.ts` updates the cell-count
expectations (45 features × 18 integrations = 810; 792 after docs-
only exclusion; 45 LGP cells = 38 wired + 1 stub + 6 unshipped).
- Harness probe `d5-byoc.ts` + `d5-byoc.test.ts` now route both slug
families through `preNavigateRoute` and exercise the new branches.
- `d5-feature-mapping.ts` and `shell-dashboard/live-status.ts` mirror
the dual-ID mapping so both legacy and renamed slugs roll up under
the same `byoc` D5 featureType.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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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