wehub-resource-sync
57 lines
1.7 KiB
Markdown
57 lines
1.7 KiB
Markdown
# QA: Tool-Based Generative UI — LangGraph (Python)
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The demo registers two `useComponent` renderers (`render_bar_chart`,
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`render_pie_chart`) on a centered `<CopilotChat>`. The agent emits
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chart-shaped tool calls and the frontend materializes them as Recharts
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SVG inside the assistant message bubble.
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## Prerequisites
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- Demo is deployed and accessible at `/demos/gen-ui-tool-based`
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- Agent backend is healthy (`/api/health`)
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## Test Steps
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### 1. Initial render
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- [ ] Navigate to `/demos/gen-ui-tool-based`
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- [ ] Verify the chat composer mounts (`textarea` with placeholder
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matching `/message/i`)
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- [ ] Verify all three suggestion pills are visible
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(`data-testid="copilot-suggestion"`):
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- "Sales bar chart"
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- "Traffic pie chart"
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- "Market share"
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### 2. Bar chart flow
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- [ ] Click the "Sales bar chart" suggestion (or type "Show me a bar
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chart of monthly expenses")
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- [ ] Verify the assistant message bubble
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(`[data-testid="copilot-assistant-message"]`) renders, and its inner
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Recharts SVG is visible
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### 3. Pie chart flow
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- [ ] Click the "Traffic pie chart" or "Market share" suggestion
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- [ ] Verify the assistant message bubble renders an SVG (the donut
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pie) inside
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### 4. Free-form chat
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- [ ] Type "Hello" and press Enter
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- [ ] Verify the assistant streams back a text response in a fresh
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`[data-testid="copilot-assistant-message"]` bubble
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### 5. Hygiene
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- [ ] No console errors during normal usage
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- [ ] No layout breakage with a very long input
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## Expected Results
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- Chat composer mounts within ~3 seconds
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- Suggestion pills render alongside an empty chat
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- Tool-driven chart bubbles materialize within ~30 seconds for short
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prompts; the SVG renders progressively as Recharts mounts
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