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docs/BATCH_1.2_COMPLETION.md
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docs/BATCH_1.2_COMPLETION.md
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# Batch 1.2: Wire Mindmap to Knowledge API - COMPLETED ✅
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## Summary
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Successfully wired all mindmap components to the Knowledge module API. The mindmap now operates with real backend data, supporting full CRUD operations and search functionality.
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## Deliverables Status
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### ✅ Working mindmap at /mindmap route
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- Route: `apps/web/src/app/mindmap/page.tsx`
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- Component: `MindmapViewer` properly mounted
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- Access: Navigate to `/mindmap` in the web app
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### ✅ CRUD operations work
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**Create Node:**
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- Endpoint: `POST /api/knowledge/entries`
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- UI: "Add Node" button in toolbar
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- Transform: Node data → CreateEntryDto
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- Result: New node appears in graph immediately
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**Update Node:**
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- Endpoint: `PUT /api/knowledge/entries/:slug`
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- UI: Edit node properties in ReactFlow
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- Transform: Node updates → UpdateEntryDto
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- Result: Node updates reflect immediately
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**Delete Node:**
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- Endpoint: `DELETE /api/knowledge/entries/:slug`
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- UI: Delete button when node selected
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- Result: Node removed from graph immediately
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**Create Edge:**
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- Method: Adds wiki-link to source entry content
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- Format: `[[target-slug|title]]`
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- Result: Backlink created, edge appears immediately
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**Delete Edge:**
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- Method: Removes wiki-link from source entry content
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- Result: Backlink removed, edge disappears immediately
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### ✅ Graph updates in real-time
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- All mutations trigger automatic `fetchGraph()` refresh
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- Statistics recalculate on graph changes
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- No manual refresh required
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- Optimistic UI updates via React state
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### ✅ Clean TypeScript
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- Zero compilation errors
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- Proper type transformations between Entry ↔ Node
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- Full type safety for all API calls
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- Exported types for external use
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### ✅ Search Integration
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- Endpoint: `GET /api/knowledge/search?q=query`
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- UI: Search bar in toolbar with live results
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- Features:
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- Real-time search as you type
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- Dropdown results with node details
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- Click result to select node
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- Loading indicator during search
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## Technical Implementation
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### API Integration
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```
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Frontend Hook (useGraphData)
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↓
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Knowledge API (/api/knowledge/entries)
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↓
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Transform: Entry → GraphNode
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↓
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Fetch Backlinks (/api/knowledge/entries/:slug/backlinks)
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↓
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Transform: Backlinks → GraphEdges
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↓
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Render: ReactFlow Graph
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```
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### Data Flow
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1. **Initial Load**: Fetch all entries → Transform to nodes → Fetch backlinks → Build edges
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2. **Create Node**: POST entry → Transform response → Refresh graph
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3. **Update Node**: PUT entry with slug → Transform response → Refresh graph
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4. **Delete Node**: DELETE entry with slug → Refresh graph
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5. **Create Edge**: PUT source entry with wiki-link → Refresh graph
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6. **Search**: GET search results → Transform to nodes → Display dropdown
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### Key Files Modified
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1. `apps/web/src/components/mindmap/hooks/useGraphData.ts` (465 lines)
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- Rewired all API calls to `/api/knowledge/entries`
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- Added data transformations (Entry ↔ Node)
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- Implemented search function
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- Added edge management via wiki-links
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2. `apps/web/src/components/mindmap/MindmapViewer.tsx` (additions)
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- Added search state management
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- Added search UI with dropdown results
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- Integrated searchNodes function
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3. `MINDMAP_API_INTEGRATION.md` (documentation)
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- Complete API mapping
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- Data transformation details
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- Feature checklist
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- Testing guide
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## Git Information
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- **Branch**: `feature/mindmap-integration`
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- **Commit**: `58caafe` - "feat: wire mindmap to knowledge API"
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- **Remote**: Pushed to origin
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- **PR**: https://git.mosaicstack.dev/mosaic/stack/pulls/new/feature/mindmap-integration
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## Testing Recommendations
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### Manual Testing
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1. Navigate to `/mindmap`
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2. Create a new node via "Add Node" button
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3. Verify node appears in graph
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4. Click and drag nodes to reposition
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5. Connect two nodes by dragging from one to another
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6. Verify edge appears and wiki-link is added to source content
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7. Use search bar to find nodes
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8. Update node properties
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9. Delete a node and verify it disappears
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10. Check that statistics update correctly
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### Automated Testing (Future)
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- Unit tests for data transformations
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- Integration tests for API calls
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- E2E tests for user workflows
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## Dependencies
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- No new npm packages required
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- Uses existing ReactFlow, authentication, and API infrastructure
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- Compatible with current Knowledge API structure
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## Performance Considerations
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- Current limit: 100 entries per fetch (configurable)
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- Backlinks fetched individually (could be optimized with batch endpoint)
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- Search is debounced to prevent excessive API calls
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- Graph rendering optimized by ReactFlow
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## Security
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- All API calls use BetterAuth access tokens
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- Workspace-scoped operations (requires workspace context)
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- Permission checks enforced by backend
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- No XSS vulnerabilities (React escaping + markdown parsing)
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## Next Steps (Out of Scope)
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1. Add pagination for large graphs (>100 nodes)
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2. Implement batch backlinks endpoint
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3. Add graph layout algorithms (force-directed, hierarchical)
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4. Support multiple edge types with UI selector
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5. Real-time collaboration via WebSockets
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6. Export graph as image/PDF
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7. Advanced search filters (by type, tags, date)
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## Completion Checklist
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- [x] Wire useGraphData hook to fetch from /api/knowledge/entries
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- [x] Implement create/update/delete for knowledge nodes
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- [x] Wire link creation to backlinks API
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- [x] Implement search integration
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- [x] Test graph rendering with real data
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- [x] Working mindmap at /mindmap route
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- [x] CRUD operations work
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- [x] Graph updates in real-time
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- [x] Clean TypeScript
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- [x] Commit with proper message
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- [x] Push to feature/mindmap-integration
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---
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**Status**: ✅ COMPLETE
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**Date**: 2025-01-30
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**Branch**: feature/mindmap-integration
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**Commit**: 58caafe
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