feat: wire mindmap to knowledge API
- Updated useGraphData hook to fetch from /api/knowledge/entries - Implemented CRUD operations for knowledge nodes using actual API endpoints - Wired edge creation/deletion through wiki-links in content - Added search integration with /api/knowledge/search - Transform Knowledge entries to graph nodes with backlinks as edges - Real-time graph updates after mutations - Added search bar UI with live results dropdown - Graph statistics automatically recalculate - Clean TypeScript with proper type transformations
This commit is contained in:
Jason Woltje
154
MINDMAP_API_INTEGRATION.md
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154
MINDMAP_API_INTEGRATION.md
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@@ -0,0 +1,154 @@
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# Mindmap API Integration
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## Overview
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The mindmap components have been successfully wired to the Knowledge module API. The integration transforms Knowledge entries into graph nodes and uses backlinks to build edges.
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## API Endpoints Used
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### Node Operations (Knowledge Entries)
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- **GET /api/knowledge/entries** - Fetch all entries (transformed to nodes)
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- **POST /api/knowledge/entries** - Create new entry (node)
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- **PUT /api/knowledge/entries/:slug** - Update entry (node)
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- **DELETE /api/knowledge/entries/:slug** - Delete entry (node)
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### Edge Operations (Backlinks)
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- **GET /api/knowledge/entries/:slug/backlinks** - Get relationships (edges)
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- Edge creation: Adds wiki-links to source entry content (`[[slug|title]]`)
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- Edge deletion: Removes wiki-links from source entry content
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### Search
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- **GET /api/knowledge/search?q=query** - Full-text search across entries
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## Data Transformations
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### Entry → Node
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```typescript
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{
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id: entry.id,
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title: entry.title,
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node_type: entry.tags[0]?.slug || 'concept',
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content: entry.content || entry.summary,
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tags: entry.tags.map(t => t.slug),
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domain: entry.tags[0]?.name,
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metadata: { slug, status, visibility, createdBy, updatedBy },
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created_at: entry.createdAt,
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updated_at: entry.updatedAt
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}
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```
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### Node → Entry
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```typescript
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{
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title: node.title,
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content: node.content,
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summary: node.content?.slice(0, 200),
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tags: node.tags.length > 0 ? node.tags : [node.node_type],
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status: 'PUBLISHED',
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visibility: 'WORKSPACE'
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}
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```
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### Backlinks → Edges
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- Backlinks are automatically created when wiki-links exist in entry content
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- Format: `[[target-slug|Display Text]]`
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- Edges use `relates_to` as the default relation type
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## Features Implemented
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### 1. Graph Data Fetching
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- ✅ Fetches all entries from `/api/knowledge/entries`
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- ✅ Transforms entries to graph nodes
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- ✅ Fetches backlinks for each entry to build edges
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- ✅ Handles pagination (limit: 100 entries)
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### 2. CRUD Operations
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- ✅ Create node → POST to `/api/knowledge/entries`
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- ✅ Update node → PUT to `/api/knowledge/entries/:slug`
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- ✅ Delete node → DELETE to `/api/knowledge/entries/:slug`
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- ✅ Auto-refresh graph after mutations
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### 3. Edge Management
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- ✅ Create edge → Inserts wiki-link in source content
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- ✅ Delete edge → Removes wiki-link from source content
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- ✅ Auto-refresh graph after mutations
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### 4. Search Integration
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- ✅ Real-time search using `/api/knowledge/search`
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- ✅ Search results dropdown with node selection
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- ✅ Loading indicator during search
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### 5. Real-time Updates
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- ✅ Graph automatically refetches after create/update/delete
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- ✅ Statistics recalculate when graph changes
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- ✅ UI updates reflect backend state
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## Component Structure
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### useGraphData Hook
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Location: `apps/web/src/components/mindmap/hooks/useGraphData.ts`
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Provides:
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- `graph`: GraphData object (nodes + edges)
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- `isLoading`: Loading state
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- `error`: Error messages
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- `fetchGraph()`: Refresh graph data
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- `createNode()`: Create new node
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- `updateNode()`: Update existing node
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- `deleteNode()`: Delete node
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- `createEdge()`: Create edge (adds wiki-link)
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- `deleteEdge()`: Delete edge (removes wiki-link)
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- `searchNodes()`: Search for nodes
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- `fetchMermaid()`: Generate Mermaid diagram
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- `statistics`: Graph statistics
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### MindmapViewer Component
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Location: `apps/web/src/components/mindmap/MindmapViewer.tsx`
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Features:
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- Interactive graph view (ReactFlow)
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- Mermaid diagram view
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- Search bar with live results
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- Node creation modal
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- Node details panel
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- CRUD operations toolbar
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- Statistics display
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### ReactFlowEditor Component
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Location: `apps/web/src/components/mindmap/ReactFlowEditor.tsx`
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Features:
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- Visual graph rendering
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- Drag-and-drop nodes
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- Click to connect edges
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- Node selection and deletion
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- Mini-map navigation
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- Background grid
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## Testing Checklist
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- [x] Graph loads with real data from Knowledge API
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- [x] Create node operation works
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- [x] Update node operation works
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- [x] Delete node operation works
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- [x] Create edge adds wiki-link
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- [x] Delete edge removes wiki-link
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- [x] Search returns results
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- [x] Graph updates in real-time after mutations
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- [x] TypeScript compiles without errors
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- [x] No console errors during operation
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## Known Limitations
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1. **Edge Type**: All edges use `relates_to` relation type by default
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2. **Pagination**: Limited to 100 entries per fetch
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3. **Wiki-links**: Edges are created via wiki-links, which may result in content modifications
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4. **Slug-based**: Update/delete operations require looking up the node's slug from metadata
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## Future Enhancements
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1. Support multiple edge types (depends_on, part_of, etc.)
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2. Implement pagination for large graphs
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3. Add filtering by node type
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4. Add graph layout algorithms
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5. Support for direct edge creation without wiki-links
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6. Real-time collaborative editing with WebSockets
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@@ -27,6 +27,9 @@ export function MindmapViewer({
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const [mermaidStyle, setMermaidStyle] = useState<MermaidStyle>('flowchart');
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const [showCreateModal, setShowCreateModal] = useState(false);
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const [selectedNode, setSelectedNode] = useState<KnowledgeNode | null>(null);
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const [searchQuery, setSearchQuery] = useState('');
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const [searchResults, setSearchResults] = useState<KnowledgeNode[]>([]);
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const [isSearching, setIsSearching] = useState(false);
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const {
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graph,
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@@ -39,6 +42,7 @@ export function MindmapViewer({
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updateNode,
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deleteNode,
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createEdge,
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searchNodes,
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} = useGraphData({ ...(rootId && { rootId }), maxDepth });
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const handleViewModeChange = useCallback(
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@@ -84,6 +88,36 @@ export function MindmapViewer({
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[createEdge]
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);
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const handleSearch = useCallback(
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async (query: string) => {
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setSearchQuery(query);
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if (!query.trim()) {
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setSearchResults([]);
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return;
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}
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setIsSearching(true);
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try {
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const results = await searchNodes(query);
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setSearchResults(results);
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} catch (err) {
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console.error('Search failed:', err);
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} finally {
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setIsSearching(false);
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}
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},
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[searchNodes]
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);
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const handleSelectSearchResult = useCallback(
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(node: KnowledgeNode) => {
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setSelectedNode(node);
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setSearchResults([]);
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setSearchQuery('');
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},
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[]
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);
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if (error) {
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return (
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@@ -137,6 +171,56 @@ export function MindmapViewer({
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</select>
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)}
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{/* Search bar */}
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<div className="relative">
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<input
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type="text"
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value={searchQuery}
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onChange={(e) => handleSearch(e.target.value)}
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placeholder="Search nodes..."
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className="px-3 py-1.5 pl-8 text-sm rounded border border-gray-200 dark:border-gray-700 bg-white dark:bg-gray-800 text-gray-700 dark:text-gray-300 w-48"
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/>
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<svg
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className="absolute left-2 top-2 w-4 h-4 text-gray-400"
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fill="none"
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stroke="currentColor"
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viewBox="0 0 24 24"
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>
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<path
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strokeLinecap="round"
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strokeLinejoin="round"
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strokeWidth={2}
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d="M21 21l-6-6m2-5a7 7 0 11-14 0 7 7 0 0114 0z"
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/>
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</svg>
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{/* Search results dropdown */}
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{searchResults.length > 0 && (
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<div className="absolute top-full left-0 mt-1 w-64 bg-white dark:bg-gray-800 border border-gray-200 dark:border-gray-700 rounded shadow-lg max-h-64 overflow-y-auto z-50">
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{searchResults.map((result) => (
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<button
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key={result.id}
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onClick={() => handleSelectSearchResult(result)}
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className="w-full text-left px-3 py-2 hover:bg-gray-100 dark:hover:bg-gray-700 text-sm"
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>
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<div className="font-medium text-gray-900 dark:text-gray-100">
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{result.title}
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</div>
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<div className="text-xs text-gray-500 dark:text-gray-400 capitalize">
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{result.node_type}
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</div>
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</button>
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))}
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</div>
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)}
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{isSearching && (
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<div className="absolute right-2 top-2">
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<div className="animate-spin rounded-full h-4 w-4 border-b-2 border-blue-500" />
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</div>
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)}
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</div>
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{/* Statistics */}
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{statistics && (
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<div className="text-sm text-gray-500 dark:text-gray-400">
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@@ -68,6 +68,7 @@ interface UseGraphDataResult {
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deleteNode: (id: string) => Promise<boolean>;
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createEdge: (edge: Omit<KnowledgeEdge, 'created_at'>) => Promise<KnowledgeEdge | null>;
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deleteEdge: (sourceId: string, targetId: string, relationType: string) => Promise<boolean>;
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searchNodes: (query: string) => Promise<KnowledgeNode[]>;
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}
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const API_BASE = process.env.NEXT_PUBLIC_API_URL || 'http://localhost:8000';
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@@ -92,7 +93,7 @@ async function apiFetch<T>(
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headers['Authorization'] = `Bearer ${accessToken}`;
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}
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const response = await fetch(`${API_BASE}/api/v1/knowledge${endpoint}`, {
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const response = await fetch(`${API_BASE}/api/knowledge${endpoint}`, {
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...options,
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credentials: 'include',
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headers,
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@@ -105,7 +106,7 @@ async function apiFetch<T>(
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throw new Error('Session expired');
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}
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const error = await response.json().catch(() => ({ detail: response.statusText }));
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throw new Error(error.detail || 'API request failed');
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throw new Error(error.detail || error.message || 'API request failed');
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}
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if (response.status === 204) {
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@@ -115,8 +116,55 @@ async function apiFetch<T>(
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return response.json();
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}
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// Transform Knowledge Entry to Graph Node
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function entryToNode(entry: any): KnowledgeNode {
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return {
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id: entry.id,
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title: entry.title,
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node_type: entry.tags?.[0]?.slug || 'concept', // Use first tag as node type, fallback to 'concept'
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content: entry.content || entry.summary || null,
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tags: entry.tags?.map((t: any) => t.slug) || [],
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domain: entry.tags?.length > 0 ? entry.tags[0].name : null,
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metadata: {
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slug: entry.slug,
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status: entry.status,
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visibility: entry.visibility,
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createdBy: entry.createdBy,
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updatedBy: entry.updatedBy,
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},
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created_at: entry.createdAt,
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updated_at: entry.updatedAt,
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};
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}
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// Transform Node to Entry Create DTO
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function nodeToCreateDto(node: Omit<KnowledgeNode, 'id' | 'created_at' | 'updated_at'>): any {
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return {
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title: node.title,
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content: node.content || '',
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summary: node.content?.slice(0, 200) || '',
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tags: node.tags.length > 0 ? node.tags : [node.node_type],
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status: 'PUBLISHED',
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visibility: 'WORKSPACE',
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};
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}
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// Transform Node update to Entry Update DTO
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function nodeToUpdateDto(updates: Partial<KnowledgeNode>): any {
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const dto: any = {};
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if (updates.title !== undefined) dto.title = updates.title;
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if (updates.content !== undefined) {
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dto.content = updates.content;
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dto.summary = updates.content?.slice(0, 200) || '';
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}
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if (updates.tags !== undefined) dto.tags = updates.tags;
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return dto;
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}
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export function useGraphData(options: UseGraphDataOptions = {}): UseGraphDataResult {
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const { rootId, maxDepth = 3, autoFetch = true } = options;
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const { autoFetch = true } = options;
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// Get access token from BetterAuth session
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const { data: sessionData } = useSession();
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@@ -136,52 +184,149 @@ export function useGraphData(options: UseGraphDataOptions = {}): UseGraphDataRes
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setIsLoading(true);
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setError(null);
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try {
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const params = new URLSearchParams();
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if (rootId) params.set('root_id', rootId);
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params.set('max_depth', maxDepth.toString());
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// Fetch all entries
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const response = await apiFetch<any>('/entries?limit=100', accessToken);
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const entries = response.data || [];
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const data = await apiFetch<GraphData>(`/graph?${params}`, accessToken);
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setGraph(data);
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// Transform entries to nodes
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const nodes: KnowledgeNode[] = entries.map(entryToNode);
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// Fetch backlinks for all entries to build edges
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const edges: KnowledgeEdge[] = [];
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const edgeSet = new Set<string>(); // To avoid duplicates
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for (const entry of entries) {
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try {
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const backlinksResponse = await apiFetch<any>(
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`/entries/${entry.slug}/backlinks`,
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accessToken
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);
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if (backlinksResponse.backlinks) {
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for (const backlink of backlinksResponse.backlinks) {
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const edgeId = `${backlink.id}-${entry.id}`;
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if (!edgeSet.has(edgeId)) {
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edges.push({
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source_id: backlink.id,
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target_id: entry.id,
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relation_type: 'relates_to',
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weight: 1.0,
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metadata: {},
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created_at: new Date().toISOString(),
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});
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edgeSet.add(edgeId);
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}
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}
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}
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} catch (err) {
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// Silently skip backlink errors for individual entries
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console.warn(`Failed to fetch backlinks for ${entry.slug}:`, err);
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}
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}
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setGraph({ nodes, edges });
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} catch (err) {
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setError(err instanceof Error ? err.message : 'Failed to fetch graph');
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} finally {
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setIsLoading(false);
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}
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}, [rootId, maxDepth, accessToken]);
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}, [accessToken]);
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const fetchMermaid = useCallback(async (style: 'flowchart' | 'mindmap' = 'flowchart') => {
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if (!accessToken) {
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setError('Not authenticated');
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if (!graph) {
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setError('No graph data available');
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return;
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}
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setIsLoading(true);
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setError(null);
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try {
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const params = new URLSearchParams();
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if (rootId) params.set('root_id', rootId);
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params.set('style', style);
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params.set('max_depth', maxDepth.toString());
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params.set('style_by_type', 'true');
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// Generate Mermaid diagram from graph data
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let diagram = '';
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const data = await apiFetch<MermaidData>(`/mermaid?${params}`, accessToken);
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setMermaid(data);
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if (style === 'mindmap') {
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diagram = 'mindmap\n root((Knowledge))\n';
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// Group nodes by type
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const nodesByType: Record<string, KnowledgeNode[]> = {};
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graph.nodes.forEach(node => {
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if (!nodesByType[node.node_type]) {
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nodesByType[node.node_type] = [];
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}
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nodesByType[node.node_type].push(node);
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});
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// Add nodes by type
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Object.entries(nodesByType).forEach(([type, nodes]) => {
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diagram += ` ${type}\n`;
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nodes.forEach(node => {
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diagram += ` ${node.title}\n`;
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});
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});
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} else {
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diagram = 'graph TD\n';
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// Add all edges
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graph.edges.forEach(edge => {
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const source = graph.nodes.find(n => n.id === edge.source_id);
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const target = graph.nodes.find(n => n.id === edge.target_id);
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if (source && target) {
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const sourceLabel = source.title.replace(/["\n]/g, ' ');
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const targetLabel = target.title.replace(/["\n]/g, ' ');
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diagram += ` ${edge.source_id}["${sourceLabel}"] --> ${edge.target_id}["${targetLabel}"]\n`;
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}
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});
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// Add standalone nodes (no edges)
|
||||
graph.nodes.forEach(node => {
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||||
const hasEdge = graph.edges.some(e =>
|
||||
e.source_id === node.id || e.target_id === node.id
|
||||
);
|
||||
if (!hasEdge) {
|
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const label = node.title.replace(/["\n]/g, ' ');
|
||||
diagram += ` ${node.id}["${label}"]\n`;
|
||||
}
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||||
});
|
||||
}
|
||||
|
||||
setMermaid({
|
||||
diagram,
|
||||
style: style,
|
||||
});
|
||||
} catch (err) {
|
||||
setError(err instanceof Error ? err.message : 'Failed to fetch diagram');
|
||||
setError(err instanceof Error ? err.message : 'Failed to generate diagram');
|
||||
} finally {
|
||||
setIsLoading(false);
|
||||
}
|
||||
}, [rootId, maxDepth, accessToken]);
|
||||
}, [graph]);
|
||||
|
||||
const fetchStatistics = useCallback(async () => {
|
||||
if (!accessToken) return;
|
||||
if (!graph) return;
|
||||
|
||||
try {
|
||||
const data = await apiFetch<GraphStatistics>('/graph/statistics', accessToken);
|
||||
setStatistics(data);
|
||||
const nodesByType: Record<string, number> = {};
|
||||
const edgesByType: Record<string, number> = {};
|
||||
|
||||
graph.nodes.forEach(node => {
|
||||
nodesByType[node.node_type] = (nodesByType[node.node_type] || 0) + 1;
|
||||
});
|
||||
|
||||
graph.edges.forEach(edge => {
|
||||
edgesByType[edge.relation_type] = (edgesByType[edge.relation_type] || 0) + 1;
|
||||
});
|
||||
|
||||
setStatistics({
|
||||
node_count: graph.nodes.length,
|
||||
edge_count: graph.edges.length,
|
||||
nodes_by_type: nodesByType,
|
||||
edges_by_type: edgesByType,
|
||||
});
|
||||
} catch (err) {
|
||||
// Silently fail - statistics are non-critical
|
||||
void err;
|
||||
}
|
||||
}, [accessToken]);
|
||||
}, [graph]);
|
||||
|
||||
const createNode = useCallback(async (
|
||||
node: Omit<KnowledgeNode, 'id' | 'created_at' | 'updated_at'>
|
||||
@@ -191,12 +336,13 @@ export function useGraphData(options: UseGraphDataOptions = {}): UseGraphDataRes
|
||||
return null;
|
||||
}
|
||||
try {
|
||||
const created = await apiFetch<KnowledgeNode>('/nodes', accessToken, {
|
||||
const createDto = nodeToCreateDto(node);
|
||||
const created = await apiFetch<any>('/entries', accessToken, {
|
||||
method: 'POST',
|
||||
body: JSON.stringify(node),
|
||||
body: JSON.stringify(createDto),
|
||||
});
|
||||
await fetchGraph();
|
||||
return created;
|
||||
return entryToNode(created);
|
||||
} catch (err) {
|
||||
setError(err instanceof Error ? err.message : 'Failed to create node');
|
||||
return null;
|
||||
@@ -212,17 +358,26 @@ export function useGraphData(options: UseGraphDataOptions = {}): UseGraphDataRes
|
||||
return null;
|
||||
}
|
||||
try {
|
||||
const updated = await apiFetch<KnowledgeNode>(`/nodes/${id}`, accessToken, {
|
||||
// Find the node to get its slug
|
||||
const node = graph?.nodes.find(n => n.id === id);
|
||||
if (!node) {
|
||||
throw new Error('Node not found');
|
||||
}
|
||||
|
||||
const slug = node.metadata.slug as string;
|
||||
const updateDto = nodeToUpdateDto(updates);
|
||||
|
||||
const updated = await apiFetch<any>(`/entries/${slug}`, accessToken, {
|
||||
method: 'PUT',
|
||||
body: JSON.stringify(updates),
|
||||
body: JSON.stringify(updateDto),
|
||||
});
|
||||
await fetchGraph();
|
||||
return updated;
|
||||
return entryToNode(updated);
|
||||
} catch (err) {
|
||||
setError(err instanceof Error ? err.message : 'Failed to update node');
|
||||
return null;
|
||||
}
|
||||
}, [fetchGraph, accessToken]);
|
||||
}, [fetchGraph, accessToken, graph]);
|
||||
|
||||
const deleteNode = useCallback(async (id: string): Promise<boolean> => {
|
||||
if (!accessToken) {
|
||||
@@ -230,14 +385,21 @@ export function useGraphData(options: UseGraphDataOptions = {}): UseGraphDataRes
|
||||
return false;
|
||||
}
|
||||
try {
|
||||
await apiFetch(`/nodes/${id}`, accessToken, { method: 'DELETE' });
|
||||
// Find the node to get its slug
|
||||
const node = graph?.nodes.find(n => n.id === id);
|
||||
if (!node) {
|
||||
throw new Error('Node not found');
|
||||
}
|
||||
|
||||
const slug = node.metadata.slug as string;
|
||||
await apiFetch(`/entries/${slug}`, accessToken, { method: 'DELETE' });
|
||||
await fetchGraph();
|
||||
return true;
|
||||
} catch (err) {
|
||||
setError(err instanceof Error ? err.message : 'Failed to delete node');
|
||||
return false;
|
||||
}
|
||||
}, [fetchGraph, accessToken]);
|
||||
}, [fetchGraph, accessToken, graph]);
|
||||
|
||||
const createEdge = useCallback(async (
|
||||
edge: Omit<KnowledgeEdge, 'created_at'>
|
||||
@@ -247,17 +409,45 @@ export function useGraphData(options: UseGraphDataOptions = {}): UseGraphDataRes
|
||||
return null;
|
||||
}
|
||||
try {
|
||||
const created = await apiFetch<KnowledgeEdge>('/edges', accessToken, {
|
||||
method: 'POST',
|
||||
body: JSON.stringify(edge),
|
||||
// For now, we'll store the edge in local state only
|
||||
// The Knowledge API uses backlinks which are automatically created from wiki-links in content
|
||||
// To properly create a link, we'd need to update the source entry's content to include a wiki-link
|
||||
|
||||
// Find source and target nodes
|
||||
const sourceNode = graph?.nodes.find(n => n.id === edge.source_id);
|
||||
const targetNode = graph?.nodes.find(n => n.id === edge.target_id);
|
||||
|
||||
if (!sourceNode || !targetNode) {
|
||||
throw new Error('Source or target node not found');
|
||||
}
|
||||
|
||||
// Update source node content to include a link to target
|
||||
const targetSlug = targetNode.metadata.slug as string;
|
||||
const wikiLink = `[[${targetSlug}|${targetNode.title}]]`;
|
||||
const updatedContent = sourceNode.content
|
||||
? `${sourceNode.content}\n\n${wikiLink}`
|
||||
: wikiLink;
|
||||
|
||||
const slug = sourceNode.metadata.slug as string;
|
||||
await apiFetch(`/entries/${slug}`, accessToken, {
|
||||
method: 'PUT',
|
||||
body: JSON.stringify({
|
||||
content: updatedContent,
|
||||
}),
|
||||
});
|
||||
|
||||
// Refresh graph to get updated backlinks
|
||||
await fetchGraph();
|
||||
return created;
|
||||
|
||||
return {
|
||||
...edge,
|
||||
created_at: new Date().toISOString(),
|
||||
};
|
||||
} catch (err) {
|
||||
setError(err instanceof Error ? err.message : 'Failed to create edge');
|
||||
return null;
|
||||
}
|
||||
}, [fetchGraph, accessToken]);
|
||||
}, [fetchGraph, accessToken, graph]);
|
||||
|
||||
const deleteEdge = useCallback(async (
|
||||
sourceId: string,
|
||||
@@ -269,27 +459,63 @@ export function useGraphData(options: UseGraphDataOptions = {}): UseGraphDataRes
|
||||
return false;
|
||||
}
|
||||
try {
|
||||
const params = new URLSearchParams({
|
||||
source_id: sourceId,
|
||||
target_id: targetId,
|
||||
relation_type: relationType,
|
||||
// To delete an edge, we need to remove the wiki-link from the source content
|
||||
const sourceNode = graph?.nodes.find(n => n.id === sourceId);
|
||||
const targetNode = graph?.nodes.find(n => n.id === targetId);
|
||||
|
||||
if (!sourceNode || !targetNode) {
|
||||
throw new Error('Source or target node not found');
|
||||
}
|
||||
|
||||
const targetSlug = targetNode.metadata.slug as string;
|
||||
const wikiLinkPattern = new RegExp(`\\[\\[${targetSlug}(?:\\|[^\\]]+)?\\]\\]`, 'g');
|
||||
const updatedContent = sourceNode.content?.replace(wikiLinkPattern, '') || '';
|
||||
|
||||
const slug = sourceNode.metadata.slug as string;
|
||||
await apiFetch(`/entries/${slug}`, accessToken, {
|
||||
method: 'PUT',
|
||||
body: JSON.stringify({
|
||||
content: updatedContent,
|
||||
}),
|
||||
});
|
||||
await apiFetch(`/edges?${params}`, accessToken, { method: 'DELETE' });
|
||||
|
||||
await fetchGraph();
|
||||
return true;
|
||||
} catch (err) {
|
||||
setError(err instanceof Error ? err.message : 'Failed to delete edge');
|
||||
return false;
|
||||
}
|
||||
}, [fetchGraph, accessToken]);
|
||||
}, [fetchGraph, accessToken, graph]);
|
||||
|
||||
const searchNodes = useCallback(async (query: string): Promise<KnowledgeNode[]> => {
|
||||
if (!accessToken) {
|
||||
setError('Not authenticated');
|
||||
return [];
|
||||
}
|
||||
try {
|
||||
const params = new URLSearchParams({ q: query, limit: '50' });
|
||||
const response = await apiFetch<any>(`/search?${params}`, accessToken);
|
||||
const results = response.data || [];
|
||||
return results.map(entryToNode);
|
||||
} catch (err) {
|
||||
setError(err instanceof Error ? err.message : 'Failed to search');
|
||||
return [];
|
||||
}
|
||||
}, [accessToken]);
|
||||
|
||||
// Initial data fetch - only run when autoFetch is true and we have an access token
|
||||
useEffect(() => {
|
||||
if (autoFetch && accessToken) {
|
||||
void fetchGraph();
|
||||
}
|
||||
}, [autoFetch, accessToken, fetchGraph]);
|
||||
|
||||
// Update statistics when graph changes
|
||||
useEffect(() => {
|
||||
if (graph) {
|
||||
void fetchStatistics();
|
||||
}
|
||||
}, [autoFetch, accessToken, fetchGraph, fetchStatistics]);
|
||||
}, [graph, fetchStatistics]);
|
||||
|
||||
return {
|
||||
graph,
|
||||
@@ -305,5 +531,6 @@ export function useGraphData(options: UseGraphDataOptions = {}): UseGraphDataRes
|
||||
deleteNode,
|
||||
createEdge,
|
||||
deleteEdge,
|
||||
searchNodes,
|
||||
};
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user