archive/task_management/task_kgvisualizer.md

# 📊 KGVisualizer Custom Component Development

## 📋 **Task Overview**
**Task ID**: Task-2.1.1  
**Phase**: Phase 2 - Platform Innovation  
**Priority**: High  
**Duration**: 6 weeks  
**Owner**: Frontend + Full Stack Team  

## 🎯 **Objective**
Build a custom Gradio component for interactive knowledge graph visualization using Svelte frontend + Vis.js, creating compelling visual capabilities for agent plan exploration and KG introspection.

## 📊 **Current Status**
- ✅ **Solid Foundation**: Dynamic Gradio UI with smart prompt handling
- ✅ **Rich Data Model**: MCPTool, MCPPrompt, PlannedStep objects ready for visualization
- ✅ **Graph Data**: InMemoryKG with comprehensive relationships and metadata
- ❌ **Complete Gap**: No visualization component exists - greenfield development
- ⚠️ **Innovation Opportunity**: Custom component for Gradio ecosystem

## 📋 **Requirements**
- [ ] Custom Gradio component framework setup
- [ ] Svelte frontend with TypeScript
- [ ] Vis.js integration for graph rendering
- [ ] Python backend data processing
- [ ] Interactive node/edge features (hover, click, selection)
- [ ] Dynamic layout algorithms
- [ ] Responsive design for multiple screen sizes
- [ ] Integration with existing KG data structures

## 💻 **Implementation Details**
```typescript
// Svelte Frontend Component
<script lang="ts">
  export let graphData: GraphData;
  export let onNodeClick: (nodeId: string) => void;
  export let onEdgeClick: (edgeId: string) => void;
  
  import { Network } from 'vis-network';
  
  let network: Network;
  let container: HTMLElement;
  
  const options = {
    physics: { enabled: true, stabilization: true },
    interaction: { hover: true, selectConnectedEdges: false },
    nodes: { borderWidth: 2, shadow: true },
    edges: { arrows: { to: true }, smooth: true }
  };
  
  onMount(() => {
    network = new Network(container, graphData, options);
    network.on("click", handleNodeClick);
  });
</script>

<div bind:this={container} class="kg-visualizer">
  <!-- Interactive graph visualization -->
</div>
```

```python
# Python Backend Component
class KGVisualizer(gr.Component):
    """Custom Gradio component for knowledge graph visualization."""
    
    def __init__(self, kg: InMemoryKG, **kwargs):
        super().__init__(**kwargs)
        self.kg = kg
        
    def process_graph_data(self, filters: dict = None) -> GraphData:
        """Convert KG data to vis.js format."""
        
    def get_node_details(self, node_id: str) -> NodeDetails:
        """Get detailed information for node interaction."""
        
    def format_for_visualization(self, data: dict) -> VisualizationData:
        """Format data for frontend consumption."""
```

## ✅ **Acceptance Criteria**
- [ ] Custom Gradio component functional and installable
- [ ] Svelte frontend renders KG data with Vis.js
- [ ] Interactive features working (hover, click, selection)
- [ ] Python backend integrates with existing InMemoryKG
- [ ] Multiple layout algorithms available
- [ ] Responsive design works on desktop and mobile
- [ ] Component integrates seamlessly with existing Gradio UI
- [ ] Performance handles 1000+ nodes smoothly
- [ ] Documentation and examples provided

## 🔗 **Dependencies**
- **Builds on**: Existing InMemoryKG data structures
- **Integrates with**: Current Gradio UI architecture
- **Uses**: MCPTool, MCPPrompt, PlannedStep objects

## 📈 **Success Metrics**
- Visualization renders <2 seconds for 1000+ nodes
- Interactive features responsive (<100ms)
- Component reusable in other Gradio applications
- User engagement with visualization features
- Integration seamless with existing UI

## 🏷️ **Tags**
custom-component, visualization, svelte, gradio, interactive-ui, innovation

## 📂 **Development Structure**
```
frontend/
  kgvisualizer/
    package.json
    rollup.config.js
    src/
      KGVisualizer.svelte
      types.ts
      utils.ts
    dist/
python/
  gradio_kgvisualizer/
    __init__.py
    kgvisualizer.py
    templates/
tests/
  frontend/
    test_component.ts
  python/
    test_kgvisualizer.py
```

## 📋 **Development Phases**
**Week 1-2**: Custom Component Framework Setup
- Gradio custom component boilerplate
- Development environment configuration
- Basic Svelte component structure

**Week 3-4**: Vis.js Integration & Core Features  
- Graph rendering with Vis.js
- Basic node/edge visualization
- Layout algorithm integration

**Week 5**: Interactive Features & Polish
- Hover effects and tooltips
- Click handling and selection
- Responsive design implementation

**Week 6**: Integration & Testing
- Integration with existing Gradio UI
- Performance optimization
- Documentation and examples

## 🔄 **Integration Points**
- Uses existing KG data from InMemoryKG
- Integrates with current Gradio interface layout
- Leverages existing MCPTool and MCPPrompt metadata
- Connects with agent planning visualization

## 💡 **Innovation Value**
- First custom visualization component for KGraph-MCP
- Reusable for broader Gradio ecosystem
- Interactive graph exploration capabilities
- Foundation for advanced visual analytics