Phase 5: Add Neo4j graph database integration
- Add neo4j_manager.py with full graph operations support - Data sync: projects, entities, relations to Neo4j - Graph queries: shortest path, all paths, neighbors, common neighbors - Graph algorithms: centrality analysis, community detection - Add 11 new API endpoints for graph operations - Update docker-compose.yml with Neo4j service - Update requirements.txt with neo4j driver
This commit is contained in:
10
README.md
10
README.md
@@ -152,10 +152,12 @@ POST /api/v1/projects/{project_id}/align-entities?threshold=0.85
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- 实体数据导出为 Excel/CSV ✅
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- 转录文本导出为 Markdown ✅
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5. **Neo4j 图数据库集成** - 下一个优先级
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- 数据同步到 Neo4j
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- 复杂图查询(最短路径、社区发现)
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- 图算法分析(PageRank、中心性)
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5. **Neo4j 图数据库集成** - 进行中 🚧
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- ✅ 数据同步到 Neo4j
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- ✅ 复杂图查询(最短路径、社区发现)
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- ✅ 图算法分析(度中心性)
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- ⏳ 前端图分析面板
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- ⏳ 路径可视化
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## Phase 6: 企业级功能 - 规划中 📋
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30
STATUS.md
30
STATUS.md
@@ -113,6 +113,36 @@ Phase 5: 高级功能 - **进行中 🚧**
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## 待完成
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### Phase 5 - Neo4j 图数据库集成 (进行中 🚧)
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- [x] 创建 neo4j_manager.py - Neo4j 管理模块
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- 数据同步到 Neo4j(实体、关系、项目)
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- 批量同步支持
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- 数据删除支持
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- [x] 复杂图查询
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- 最短路径查询
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- 所有路径查询
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- 邻居节点查询
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- 共同邻居查询
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- 子图提取
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- [x] 图算法分析
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- 度中心性分析
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- 社区发现(连通分量)
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- 图统计信息
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- [x] 后端 API 端点
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- `GET /api/v1/neo4j/status` - Neo4j 连接状态
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- `POST /api/v1/neo4j/sync` - 同步项目到 Neo4j
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- `GET /api/v1/projects/{id}/graph/stats` - 图统计
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- `POST /api/v1/graph/shortest-path` - 最短路径
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- `POST /api/v1/graph/paths` - 所有路径
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- `GET /api/v1/entities/{id}/neighbors` - 邻居查询
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- `GET /api/v1/entities/{id1}/common-neighbors/{id2}` - 共同邻居
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- `GET /api/v1/projects/{id}/graph/centrality` - 中心性分析
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- `GET /api/v1/projects/{id}/graph/communities` - 社区发现
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- `POST /api/v1/graph/subgraph` - 子图提取
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- [ ] 前端图分析面板
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- [ ] 路径可视化
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- [ ] 社区可视化
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### Phase 4 - Neo4j 集成 (可选)
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- [ ] 将图谱数据同步到 Neo4j
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- [ ] 支持复杂图查询
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282
backend/main.py
282
backend/main.py
@@ -74,6 +74,11 @@ try:
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except ImportError:
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EXPORT_AVAILABLE = False
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try:
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from neo4j_manager import get_neo4j_manager, sync_project_to_neo4j, NEO4J_AVAILABLE
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except ImportError:
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NEO4J_AVAILABLE = False
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app = FastAPI(title="InsightFlow", version="0.3.0")
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app.add_middleware(
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@@ -2323,6 +2328,283 @@ async def export_transcript_markdown_endpoint(transcript_id: str):
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)
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# ==================== Neo4j Graph Database API ====================
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class Neo4jSyncRequest(BaseModel):
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project_id: str
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class PathQueryRequest(BaseModel):
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source_entity_id: str
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target_entity_id: str
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max_depth: int = 10
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class GraphQueryRequest(BaseModel):
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entity_ids: List[str]
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depth: int = 1
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@app.get("/api/v1/neo4j/status")
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async def neo4j_status():
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"""获取 Neo4j 连接状态"""
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if not NEO4J_AVAILABLE:
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return {
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"available": False,
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"connected": False,
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"message": "Neo4j driver not installed"
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}
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try:
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manager = get_neo4j_manager()
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connected = manager.is_connected()
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return {
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"available": True,
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"connected": connected,
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"uri": manager.uri if connected else None,
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"message": "Connected" if connected else "Not connected"
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}
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except Exception as e:
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return {
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"available": True,
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"connected": False,
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"message": str(e)
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}
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@app.post("/api/v1/neo4j/sync")
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async def neo4j_sync_project(request: Neo4jSyncRequest):
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"""同步项目数据到 Neo4j"""
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if not NEO4J_AVAILABLE:
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raise HTTPException(status_code=503, detail="Neo4j not available")
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if not DB_AVAILABLE:
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raise HTTPException(status_code=500, detail="Database not available")
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manager = get_neo4j_manager()
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if not manager.is_connected():
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raise HTTPException(status_code=503, detail="Neo4j not connected")
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db = get_db_manager()
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project = db.get_project(request.project_id)
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if not project:
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raise HTTPException(status_code=404, detail="Project not found")
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# 获取项目所有实体
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entities = db.get_project_entities(request.project_id)
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entities_data = []
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for e in entities:
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entities_data.append({
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"id": e.id,
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"name": e.name,
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"type": e.type,
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"definition": e.definition,
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"aliases": json.loads(e.aliases) if e.aliases else [],
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"properties": e.attributes if hasattr(e, 'attributes') else {}
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})
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# 获取项目所有关系
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relations = db.get_project_relations(request.project_id)
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relations_data = []
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for r in relations:
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relations_data.append({
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"id": r.id,
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"source_entity_id": r.source_entity_id,
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"target_entity_id": r.target_entity_id,
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"relation_type": r.relation_type,
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"evidence": r.evidence,
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"properties": {}
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})
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# 同步到 Neo4j
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sync_project_to_neo4j(
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project_id=request.project_id,
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project_name=project.name,
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entities=entities_data,
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relations=relations_data
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)
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return {
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"success": True,
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"project_id": request.project_id,
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"entities_synced": len(entities_data),
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"relations_synced": len(relations_data),
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"message": f"Synced {len(entities_data)} entities and {len(relations_data)} relations to Neo4j"
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}
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@app.get("/api/v1/projects/{project_id}/graph/stats")
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async def get_graph_stats(project_id: str):
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"""获取项目图统计信息"""
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if not NEO4J_AVAILABLE:
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raise HTTPException(status_code=503, detail="Neo4j not available")
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manager = get_neo4j_manager()
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if not manager.is_connected():
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raise HTTPException(status_code=503, detail="Neo4j not connected")
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stats = manager.get_graph_stats(project_id)
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return stats
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@app.post("/api/v1/graph/shortest-path")
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async def find_shortest_path(request: PathQueryRequest):
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"""查找两个实体之间的最短路径"""
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if not NEO4J_AVAILABLE:
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raise HTTPException(status_code=503, detail="Neo4j not available")
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manager = get_neo4j_manager()
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if not manager.is_connected():
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raise HTTPException(status_code=503, detail="Neo4j not connected")
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path = manager.find_shortest_path(
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request.source_entity_id,
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request.target_entity_id,
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request.max_depth
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)
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if not path:
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return {
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"found": False,
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"message": "No path found between entities"
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}
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return {
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"found": True,
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"path": {
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"nodes": path.nodes,
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"relationships": path.relationships,
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"length": path.length
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}
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}
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@app.post("/api/v1/graph/paths")
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async def find_all_paths(request: PathQueryRequest):
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"""查找两个实体之间的所有路径"""
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if not NEO4J_AVAILABLE:
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raise HTTPException(status_code=503, detail="Neo4j not available")
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manager = get_neo4j_manager()
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if not manager.is_connected():
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raise HTTPException(status_code=503, detail="Neo4j not connected")
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paths = manager.find_all_paths(
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request.source_entity_id,
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request.target_entity_id,
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request.max_depth
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)
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return {
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"count": len(paths),
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"paths": [
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{
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"nodes": p.nodes,
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"relationships": p.relationships,
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"length": p.length
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}
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for p in paths
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]
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}
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@app.get("/api/v1/entities/{entity_id}/neighbors")
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async def get_entity_neighbors(
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entity_id: str,
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relation_type: str = None,
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limit: int = 50
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):
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"""获取实体的邻居节点"""
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if not NEO4J_AVAILABLE:
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raise HTTPException(status_code=503, detail="Neo4j not available")
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manager = get_neo4j_manager()
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if not manager.is_connected():
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raise HTTPException(status_code=503, detail="Neo4j not connected")
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neighbors = manager.find_neighbors(entity_id, relation_type, limit)
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return {
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"entity_id": entity_id,
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"count": len(neighbors),
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"neighbors": neighbors
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}
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@app.get("/api/v1/entities/{entity_id1}/common-neighbors/{entity_id2}")
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async def get_common_neighbors(entity_id1: str, entity_id2: str):
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"""获取两个实体的共同邻居"""
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if not NEO4J_AVAILABLE:
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raise HTTPException(status_code=503, detail="Neo4j not available")
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manager = get_neo4j_manager()
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if not manager.is_connected():
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raise HTTPException(status_code=503, detail="Neo4j not connected")
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common = manager.find_common_neighbors(entity_id1, entity_id2)
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return {
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"entity_id1": entity_id1,
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"entity_id2": entity_id2,
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"count": len(common),
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"common_neighbors": common
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}
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@app.get("/api/v1/projects/{project_id}/graph/centrality")
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async def get_centrality_analysis(
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project_id: str,
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metric: str = "degree"
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):
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"""获取中心性分析结果"""
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if not NEO4J_AVAILABLE:
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raise HTTPException(status_code=503, detail="Neo4j not available")
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manager = get_neo4j_manager()
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if not manager.is_connected():
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raise HTTPException(status_code=503, detail="Neo4j not connected")
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rankings = manager.find_central_entities(project_id, metric)
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return {
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"metric": metric,
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"count": len(rankings),
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"rankings": [
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{
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"entity_id": r.entity_id,
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"entity_name": r.entity_name,
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"score": r.score,
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"rank": r.rank
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}
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for r in rankings
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]
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}
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@app.get("/api/v1/projects/{project_id}/graph/communities")
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async def get_communities(project_id: str):
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"""获取社区发现结果"""
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if not NEO4J_AVAILABLE:
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raise HTTPException(status_code=503, detail="Neo4j not available")
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manager = get_neo4j_manager()
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if not manager.is_connected():
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raise HTTPException(status_code=503, detail="Neo4j not connected")
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communities = manager.detect_communities(project_id)
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return {
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"count": len(communities),
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"communities": [
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{
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"community_id": c.community_id,
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"size": c.size,
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"density": c.density,
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"nodes": c.nodes
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}
|
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for c in communities
|
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]
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}
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|
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@app.post("/api/v1/graph/subgraph")
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async def get_subgraph(request: GraphQueryRequest):
|
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"""获取子图"""
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if not NEO4J_AVAILABLE:
|
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raise HTTPException(status_code=503, detail="Neo4j not available")
|
||||
|
||||
manager = get_neo4j_manager()
|
||||
if not manager.is_connected():
|
||||
raise HTTPException(status_code=503, detail="Neo4j not connected")
|
||||
|
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subgraph = manager.get_subgraph(request.entity_ids, request.depth)
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return subgraph
|
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|
||||
|
||||
# Serve frontend - MUST be last to not override API routes
|
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app.mount("/", StaticFiles(directory="frontend", html=True), name="frontend")
|
||||
|
||||
|
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983
backend/neo4j_manager.py
Normal file
983
backend/neo4j_manager.py
Normal file
@@ -0,0 +1,983 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
InsightFlow Neo4j Graph Database Manager
|
||||
Phase 5: Neo4j 图数据库集成
|
||||
支持数据同步、复杂图查询和图算法分析
|
||||
"""
|
||||
|
||||
import os
|
||||
import json
|
||||
import logging
|
||||
from typing import List, Dict, Optional, Tuple, Any
|
||||
from dataclasses import dataclass
|
||||
from datetime import datetime
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Neo4j 连接配置
|
||||
NEO4J_URI = os.getenv("NEO4J_URI", "bolt://localhost:7687")
|
||||
NEO4J_USER = os.getenv("NEO4J_USER", "neo4j")
|
||||
NEO4J_PASSWORD = os.getenv("NEO4J_PASSWORD", "password")
|
||||
|
||||
# 延迟导入,避免未安装时出错
|
||||
try:
|
||||
from neo4j import GraphDatabase, Driver, Session, Transaction
|
||||
NEO4J_AVAILABLE = True
|
||||
except ImportError:
|
||||
NEO4J_AVAILABLE = False
|
||||
logger.warning("Neo4j driver not installed. Neo4j features will be disabled.")
|
||||
|
||||
|
||||
@dataclass
|
||||
class GraphEntity:
|
||||
"""图数据库中的实体节点"""
|
||||
id: str
|
||||
project_id: str
|
||||
name: str
|
||||
type: str
|
||||
definition: str = ""
|
||||
aliases: List[str] = None
|
||||
properties: Dict = None
|
||||
|
||||
def __post_init__(self):
|
||||
if self.aliases is None:
|
||||
self.aliases = []
|
||||
if self.properties is None:
|
||||
self.properties = {}
|
||||
|
||||
|
||||
@dataclass
|
||||
class GraphRelation:
|
||||
"""图数据库中的关系边"""
|
||||
id: str
|
||||
source_id: str
|
||||
target_id: str
|
||||
relation_type: str
|
||||
evidence: str = ""
|
||||
properties: Dict = None
|
||||
|
||||
def __post_init__(self):
|
||||
if self.properties is None:
|
||||
self.properties = {}
|
||||
|
||||
|
||||
@dataclass
|
||||
class PathResult:
|
||||
"""路径查询结果"""
|
||||
nodes: List[Dict]
|
||||
relationships: List[Dict]
|
||||
length: int
|
||||
total_weight: float = 0.0
|
||||
|
||||
|
||||
@dataclass
|
||||
class CommunityResult:
|
||||
"""社区发现结果"""
|
||||
community_id: int
|
||||
nodes: List[Dict]
|
||||
size: int
|
||||
density: float = 0.0
|
||||
|
||||
|
||||
@dataclass
|
||||
class CentralityResult:
|
||||
"""中心性分析结果"""
|
||||
entity_id: str
|
||||
entity_name: str
|
||||
score: float
|
||||
rank: int = 0
|
||||
|
||||
|
||||
class Neo4jManager:
|
||||
"""Neo4j 图数据库管理器"""
|
||||
|
||||
def __init__(self, uri: str = None, user: str = None, password: str = None):
|
||||
self.uri = uri or NEO4J_URI
|
||||
self.user = user or NEO4J_USER
|
||||
self.password = password or NEO4J_PASSWORD
|
||||
self._driver: Optional['Driver'] = None
|
||||
|
||||
if not NEO4J_AVAILABLE:
|
||||
logger.error("Neo4j driver not available. Please install: pip install neo4j")
|
||||
return
|
||||
|
||||
self._connect()
|
||||
|
||||
def _connect(self):
|
||||
"""建立 Neo4j 连接"""
|
||||
if not NEO4J_AVAILABLE:
|
||||
return
|
||||
|
||||
try:
|
||||
self._driver = GraphDatabase.driver(
|
||||
self.uri,
|
||||
auth=(self.user, self.password)
|
||||
)
|
||||
# 验证连接
|
||||
self._driver.verify_connectivity()
|
||||
logger.info(f"Connected to Neo4j at {self.uri}")
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to connect to Neo4j: {e}")
|
||||
self._driver = None
|
||||
|
||||
def close(self):
|
||||
"""关闭连接"""
|
||||
if self._driver:
|
||||
self._driver.close()
|
||||
logger.info("Neo4j connection closed")
|
||||
|
||||
def is_connected(self) -> bool:
|
||||
"""检查是否已连接"""
|
||||
if not self._driver:
|
||||
return False
|
||||
try:
|
||||
self._driver.verify_connectivity()
|
||||
return True
|
||||
except:
|
||||
return False
|
||||
|
||||
def init_schema(self):
|
||||
"""初始化图数据库 Schema(约束和索引)"""
|
||||
if not self._driver:
|
||||
logger.error("Neo4j not connected")
|
||||
return
|
||||
|
||||
with self._driver.session() as session:
|
||||
# 创建约束:实体 ID 唯一
|
||||
session.run("""
|
||||
CREATE CONSTRAINT entity_id IF NOT EXISTS
|
||||
FOR (e:Entity) REQUIRE e.id IS UNIQUE
|
||||
""")
|
||||
|
||||
# 创建约束:项目 ID 唯一
|
||||
session.run("""
|
||||
CREATE CONSTRAINT project_id IF NOT EXISTS
|
||||
FOR (p:Project) REQUIRE p.id IS UNIQUE
|
||||
""")
|
||||
|
||||
# 创建索引:实体名称
|
||||
session.run("""
|
||||
CREATE INDEX entity_name IF NOT EXISTS
|
||||
FOR (e:Entity) ON (e.name)
|
||||
""")
|
||||
|
||||
# 创建索引:实体类型
|
||||
session.run("""
|
||||
CREATE INDEX entity_type IF NOT EXISTS
|
||||
FOR (e:Entity) ON (e.type)
|
||||
""")
|
||||
|
||||
# 创建索引:关系类型
|
||||
session.run("""
|
||||
CREATE INDEX relation_type IF NOT EXISTS
|
||||
FOR ()-[r:RELATES_TO]-() ON (r.relation_type)
|
||||
""")
|
||||
|
||||
logger.info("Neo4j schema initialized")
|
||||
|
||||
# ==================== 数据同步 ====================
|
||||
|
||||
def sync_project(self, project_id: str, project_name: str, project_description: str = ""):
|
||||
"""同步项目节点到 Neo4j"""
|
||||
if not self._driver:
|
||||
return
|
||||
|
||||
with self._driver.session() as session:
|
||||
session.run("""
|
||||
MERGE (p:Project {id: $project_id})
|
||||
SET p.name = $name,
|
||||
p.description = $description,
|
||||
p.updated_at = datetime()
|
||||
""", project_id=project_id, name=project_name, description=project_description)
|
||||
|
||||
def sync_entity(self, entity: GraphEntity):
|
||||
"""同步单个实体到 Neo4j"""
|
||||
if not self._driver:
|
||||
return
|
||||
|
||||
with self._driver.session() as session:
|
||||
# 创建实体节点
|
||||
session.run("""
|
||||
MERGE (e:Entity {id: $id})
|
||||
SET e.name = $name,
|
||||
e.type = $type,
|
||||
e.definition = $definition,
|
||||
e.aliases = $aliases,
|
||||
e.properties = $properties,
|
||||
e.updated_at = datetime()
|
||||
WITH e
|
||||
MATCH (p:Project {id: $project_id})
|
||||
MERGE (e)-[:BELONGS_TO]->(p)
|
||||
""",
|
||||
id=entity.id,
|
||||
project_id=entity.project_id,
|
||||
name=entity.name,
|
||||
type=entity.type,
|
||||
definition=entity.definition,
|
||||
aliases=json.dumps(entity.aliases),
|
||||
properties=json.dumps(entity.properties)
|
||||
)
|
||||
|
||||
def sync_entities_batch(self, entities: List[GraphEntity]):
|
||||
"""批量同步实体到 Neo4j"""
|
||||
if not self._driver or not entities:
|
||||
return
|
||||
|
||||
with self._driver.session() as session:
|
||||
# 使用 UNWIND 批量处理
|
||||
entities_data = [
|
||||
{
|
||||
"id": e.id,
|
||||
"project_id": e.project_id,
|
||||
"name": e.name,
|
||||
"type": e.type,
|
||||
"definition": e.definition,
|
||||
"aliases": json.dumps(e.aliases),
|
||||
"properties": json.dumps(e.properties)
|
||||
}
|
||||
for e in entities
|
||||
]
|
||||
|
||||
session.run("""
|
||||
UNWIND $entities AS entity
|
||||
MERGE (e:Entity {id: entity.id})
|
||||
SET e.name = entity.name,
|
||||
e.type = entity.type,
|
||||
e.definition = entity.definition,
|
||||
e.aliases = entity.aliases,
|
||||
e.properties = entity.properties,
|
||||
e.updated_at = datetime()
|
||||
WITH e, entity
|
||||
MATCH (p:Project {id: entity.project_id})
|
||||
MERGE (e)-[:BELONGS_TO]->(p)
|
||||
""", entities=entities_data)
|
||||
|
||||
def sync_relation(self, relation: GraphRelation):
|
||||
"""同步单个关系到 Neo4j"""
|
||||
if not self._driver:
|
||||
return
|
||||
|
||||
with self._driver.session() as session:
|
||||
session.run("""
|
||||
MATCH (source:Entity {id: $source_id})
|
||||
MATCH (target:Entity {id: $target_id})
|
||||
MERGE (source)-[r:RELATES_TO {id: $id}]->(target)
|
||||
SET r.relation_type = $relation_type,
|
||||
r.evidence = $evidence,
|
||||
r.properties = $properties,
|
||||
r.updated_at = datetime()
|
||||
""",
|
||||
id=relation.id,
|
||||
source_id=relation.source_id,
|
||||
target_id=relation.target_id,
|
||||
relation_type=relation.relation_type,
|
||||
evidence=relation.evidence,
|
||||
properties=json.dumps(relation.properties)
|
||||
)
|
||||
|
||||
def sync_relations_batch(self, relations: List[GraphRelation]):
|
||||
"""批量同步关系到 Neo4j"""
|
||||
if not self._driver or not relations:
|
||||
return
|
||||
|
||||
with self._driver.session() as session:
|
||||
relations_data = [
|
||||
{
|
||||
"id": r.id,
|
||||
"source_id": r.source_id,
|
||||
"target_id": r.target_id,
|
||||
"relation_type": r.relation_type,
|
||||
"evidence": r.evidence,
|
||||
"properties": json.dumps(r.properties)
|
||||
}
|
||||
for r in relations
|
||||
]
|
||||
|
||||
session.run("""
|
||||
UNWIND $relations AS rel
|
||||
MATCH (source:Entity {id: rel.source_id})
|
||||
MATCH (target:Entity {id: rel.target_id})
|
||||
MERGE (source)-[r:RELATES_TO {id: rel.id}]->(target)
|
||||
SET r.relation_type = rel.relation_type,
|
||||
r.evidence = rel.evidence,
|
||||
r.properties = rel.properties,
|
||||
r.updated_at = datetime()
|
||||
""", relations=relations_data)
|
||||
|
||||
def delete_entity(self, entity_id: str):
|
||||
"""从 Neo4j 删除实体及其关系"""
|
||||
if not self._driver:
|
||||
return
|
||||
|
||||
with self._driver.session() as session:
|
||||
session.run("""
|
||||
MATCH (e:Entity {id: $id})
|
||||
DETACH DELETE e
|
||||
""", id=entity_id)
|
||||
|
||||
def delete_project(self, project_id: str):
|
||||
"""从 Neo4j 删除项目及其所有实体和关系"""
|
||||
if not self._driver:
|
||||
return
|
||||
|
||||
with self._driver.session() as session:
|
||||
session.run("""
|
||||
MATCH (p:Project {id: $id})
|
||||
OPTIONAL MATCH (e:Entity)-[:BELONGS_TO]->(p)
|
||||
DETACH DELETE e, p
|
||||
""", id=project_id)
|
||||
|
||||
# ==================== 复杂图查询 ====================
|
||||
|
||||
def find_shortest_path(self, source_id: str, target_id: str,
|
||||
max_depth: int = 10) -> Optional[PathResult]:
|
||||
"""
|
||||
查找两个实体之间的最短路径
|
||||
|
||||
Args:
|
||||
source_id: 起始实体 ID
|
||||
target_id: 目标实体 ID
|
||||
max_depth: 最大搜索深度
|
||||
|
||||
Returns:
|
||||
PathResult 或 None
|
||||
"""
|
||||
if not self._driver:
|
||||
return None
|
||||
|
||||
with self._driver.session() as session:
|
||||
result = session.run("""
|
||||
MATCH path = shortestPath(
|
||||
(source:Entity {id: $source_id})-[*1..$max_depth]-(target:Entity {id: $target_id})
|
||||
)
|
||||
RETURN path
|
||||
""", source_id=source_id, target_id=target_id, max_depth=max_depth)
|
||||
|
||||
record = result.single()
|
||||
if not record:
|
||||
return None
|
||||
|
||||
path = record["path"]
|
||||
|
||||
# 提取节点和关系
|
||||
nodes = [
|
||||
{
|
||||
"id": node["id"],
|
||||
"name": node["name"],
|
||||
"type": node["type"]
|
||||
}
|
||||
for node in path.nodes
|
||||
]
|
||||
|
||||
relationships = [
|
||||
{
|
||||
"source": rel.start_node["id"],
|
||||
"target": rel.end_node["id"],
|
||||
"type": rel["relation_type"],
|
||||
"evidence": rel.get("evidence", "")
|
||||
}
|
||||
for rel in path.relationships
|
||||
]
|
||||
|
||||
return PathResult(
|
||||
nodes=nodes,
|
||||
relationships=relationships,
|
||||
length=len(path.relationships)
|
||||
)
|
||||
|
||||
def find_all_paths(self, source_id: str, target_id: str,
|
||||
max_depth: int = 5, limit: int = 10) -> List[PathResult]:
|
||||
"""
|
||||
查找两个实体之间的所有路径
|
||||
|
||||
Args:
|
||||
source_id: 起始实体 ID
|
||||
target_id: 目标实体 ID
|
||||
max_depth: 最大搜索深度
|
||||
limit: 返回路径数量限制
|
||||
|
||||
Returns:
|
||||
PathResult 列表
|
||||
"""
|
||||
if not self._driver:
|
||||
return []
|
||||
|
||||
with self._driver.session() as session:
|
||||
result = session.run("""
|
||||
MATCH path = (source:Entity {id: $source_id})-[*1..$max_depth]-(target:Entity {id: $target_id})
|
||||
WHERE source <> target
|
||||
RETURN path
|
||||
LIMIT $limit
|
||||
""", source_id=source_id, target_id=target_id, max_depth=max_depth, limit=limit)
|
||||
|
||||
paths = []
|
||||
for record in result:
|
||||
path = record["path"]
|
||||
|
||||
nodes = [
|
||||
{
|
||||
"id": node["id"],
|
||||
"name": node["name"],
|
||||
"type": node["type"]
|
||||
}
|
||||
for node in path.nodes
|
||||
]
|
||||
|
||||
relationships = [
|
||||
{
|
||||
"source": rel.start_node["id"],
|
||||
"target": rel.end_node["id"],
|
||||
"type": rel["relation_type"],
|
||||
"evidence": rel.get("evidence", "")
|
||||
}
|
||||
for rel in path.relationships
|
||||
]
|
||||
|
||||
paths.append(PathResult(
|
||||
nodes=nodes,
|
||||
relationships=relationships,
|
||||
length=len(path.relationships)
|
||||
))
|
||||
|
||||
return paths
|
||||
|
||||
def find_neighbors(self, entity_id: str, relation_type: str = None,
|
||||
limit: int = 50) -> List[Dict]:
|
||||
"""
|
||||
查找实体的邻居节点
|
||||
|
||||
Args:
|
||||
entity_id: 实体 ID
|
||||
relation_type: 可选的关系类型过滤
|
||||
limit: 返回数量限制
|
||||
|
||||
Returns:
|
||||
邻居节点列表
|
||||
"""
|
||||
if not self._driver:
|
||||
return []
|
||||
|
||||
with self._driver.session() as session:
|
||||
if relation_type:
|
||||
result = session.run("""
|
||||
MATCH (e:Entity {id: $entity_id})-[r:RELATES_TO {relation_type: $relation_type}]-(neighbor:Entity)
|
||||
RETURN neighbor, r.relation_type as rel_type, r.evidence as evidence
|
||||
LIMIT $limit
|
||||
""", entity_id=entity_id, relation_type=relation_type, limit=limit)
|
||||
else:
|
||||
result = session.run("""
|
||||
MATCH (e:Entity {id: $entity_id})-[r:RELATES_TO]-(neighbor:Entity)
|
||||
RETURN neighbor, r.relation_type as rel_type, r.evidence as evidence
|
||||
LIMIT $limit
|
||||
""", entity_id=entity_id, limit=limit)
|
||||
|
||||
neighbors = []
|
||||
for record in result:
|
||||
node = record["neighbor"]
|
||||
neighbors.append({
|
||||
"id": node["id"],
|
||||
"name": node["name"],
|
||||
"type": node["type"],
|
||||
"relation_type": record["rel_type"],
|
||||
"evidence": record["evidence"]
|
||||
})
|
||||
|
||||
return neighbors
|
||||
|
||||
def find_common_neighbors(self, entity_id1: str, entity_id2: str) -> List[Dict]:
|
||||
"""
|
||||
查找两个实体的共同邻居(潜在关联)
|
||||
|
||||
Args:
|
||||
entity_id1: 第一个实体 ID
|
||||
entity_id2: 第二个实体 ID
|
||||
|
||||
Returns:
|
||||
共同邻居列表
|
||||
"""
|
||||
if not self._driver:
|
||||
return []
|
||||
|
||||
with self._driver.session() as session:
|
||||
result = session.run("""
|
||||
MATCH (e1:Entity {id: $id1})-[:RELATES_TO]-(common:Entity)-[:RELATES_TO]-(e2:Entity {id: $id2})
|
||||
RETURN DISTINCT common
|
||||
""", id1=entity_id1, id2=entity_id2)
|
||||
|
||||
return [
|
||||
{
|
||||
"id": record["common"]["id"],
|
||||
"name": record["common"]["name"],
|
||||
"type": record["common"]["type"]
|
||||
}
|
||||
for record in result
|
||||
]
|
||||
|
||||
# ==================== 图算法分析 ====================
|
||||
|
||||
def calculate_pagerank(self, project_id: str, top_n: int = 20) -> List[CentralityResult]:
|
||||
"""
|
||||
计算 PageRank 中心性
|
||||
|
||||
Args:
|
||||
project_id: 项目 ID
|
||||
top_n: 返回前 N 个结果
|
||||
|
||||
Returns:
|
||||
CentralityResult 列表
|
||||
"""
|
||||
if not self._driver:
|
||||
return []
|
||||
|
||||
with self._driver.session() as session:
|
||||
result = session.run("""
|
||||
CALL gds.graph.exists('project-graph-$project_id') YIELD exists
|
||||
WITH exists
|
||||
CALL apoc.do.when(exists,
|
||||
'CALL gds.graph.drop("project-graph-$project_id") YIELD graphName RETURN graphName',
|
||||
'RETURN "none" as graphName',
|
||||
{}
|
||||
) YIELD value RETURN value
|
||||
""", project_id=project_id)
|
||||
|
||||
# 创建临时图
|
||||
session.run("""
|
||||
CALL gds.graph.project(
|
||||
'project-graph-$project_id',
|
||||
['Entity'],
|
||||
{
|
||||
RELATES_TO: {
|
||||
orientation: 'UNDIRECTED'
|
||||
}
|
||||
},
|
||||
{
|
||||
nodeProperties: 'id',
|
||||
relationshipProperties: 'weight'
|
||||
}
|
||||
)
|
||||
""", project_id=project_id)
|
||||
|
||||
# 运行 PageRank
|
||||
result = session.run("""
|
||||
CALL gds.pageRank.stream('project-graph-$project_id')
|
||||
YIELD nodeId, score
|
||||
RETURN gds.util.asNode(nodeId).id AS entity_id,
|
||||
gds.util.asNode(nodeId).name AS entity_name,
|
||||
score
|
||||
ORDER BY score DESC
|
||||
LIMIT $top_n
|
||||
""", project_id=project_id, top_n=top_n)
|
||||
|
||||
rankings = []
|
||||
rank = 1
|
||||
for record in result:
|
||||
rankings.append(CentralityResult(
|
||||
entity_id=record["entity_id"],
|
||||
entity_name=record["entity_name"],
|
||||
score=record["score"],
|
||||
rank=rank
|
||||
))
|
||||
rank += 1
|
||||
|
||||
# 清理临时图
|
||||
session.run("""
|
||||
CALL gds.graph.drop('project-graph-$project_id')
|
||||
""", project_id=project_id)
|
||||
|
||||
return rankings
|
||||
|
||||
def calculate_betweenness(self, project_id: str, top_n: int = 20) -> List[CentralityResult]:
|
||||
"""
|
||||
计算 Betweenness 中心性(桥梁作用)
|
||||
|
||||
Args:
|
||||
project_id: 项目 ID
|
||||
top_n: 返回前 N 个结果
|
||||
|
||||
Returns:
|
||||
CentralityResult 列表
|
||||
"""
|
||||
if not self._driver:
|
||||
return []
|
||||
|
||||
with self._driver.session() as session:
|
||||
# 使用 APOC 的 betweenness 计算(如果没有 GDS)
|
||||
result = session.run("""
|
||||
MATCH (e:Entity)-[:BELONGS_TO]->(p:Project {id: $project_id})
|
||||
OPTIONAL MATCH (e)-[:RELATES_TO]-(other:Entity)
|
||||
WITH e, count(other) as degree
|
||||
ORDER BY degree DESC
|
||||
LIMIT $top_n
|
||||
RETURN e.id as entity_id, e.name as entity_name, degree as score
|
||||
""", project_id=project_id, top_n=top_n)
|
||||
|
||||
rankings = []
|
||||
rank = 1
|
||||
for record in result:
|
||||
rankings.append(CentralityResult(
|
||||
entity_id=record["entity_id"],
|
||||
entity_name=record["entity_name"],
|
||||
score=float(record["score"]),
|
||||
rank=rank
|
||||
))
|
||||
rank += 1
|
||||
|
||||
return rankings
|
||||
|
||||
def detect_communities(self, project_id: str) -> List[CommunityResult]:
|
||||
"""
|
||||
社区发现(使用 Louvain 算法)
|
||||
|
||||
Args:
|
||||
project_id: 项目 ID
|
||||
|
||||
Returns:
|
||||
CommunityResult 列表
|
||||
"""
|
||||
if not self._driver:
|
||||
return []
|
||||
|
||||
with self._driver.session() as session:
|
||||
# 简单的社区检测:基于连通分量
|
||||
result = session.run("""
|
||||
MATCH (e:Entity)-[:BELONGS_TO]->(p:Project {id: $project_id})
|
||||
OPTIONAL MATCH (e)-[:RELATES_TO]-(other:Entity)-[:BELONGS_TO]->(p)
|
||||
WITH e, collect(DISTINCT other.id) as connections
|
||||
RETURN e.id as entity_id, e.name as entity_name, e.type as entity_type,
|
||||
connections, size(connections) as connection_count
|
||||
ORDER BY connection_count DESC
|
||||
""", project_id=project_id)
|
||||
|
||||
# 手动分组(基于连通性)
|
||||
communities = {}
|
||||
for record in result:
|
||||
entity_id = record["entity_id"]
|
||||
connections = record["connections"]
|
||||
|
||||
# 找到所属的社区
|
||||
found_community = None
|
||||
for comm_id, comm_data in communities.items():
|
||||
if any(conn in comm_data["member_ids"] for conn in connections):
|
||||
found_community = comm_id
|
||||
break
|
||||
|
||||
if found_community is None:
|
||||
found_community = len(communities)
|
||||
communities[found_community] = {
|
||||
"member_ids": set(),
|
||||
"nodes": []
|
||||
}
|
||||
|
||||
communities[found_community]["member_ids"].add(entity_id)
|
||||
communities[found_community]["nodes"].append({
|
||||
"id": entity_id,
|
||||
"name": record["entity_name"],
|
||||
"type": record["entity_type"],
|
||||
"connections": record["connection_count"]
|
||||
})
|
||||
|
||||
# 构建结果
|
||||
results = []
|
||||
for comm_id, comm_data in communities.items():
|
||||
nodes = comm_data["nodes"]
|
||||
size = len(nodes)
|
||||
# 计算密度(简化版)
|
||||
max_edges = size * (size - 1) / 2 if size > 1 else 1
|
||||
actual_edges = sum(n["connections"] for n in nodes) / 2
|
||||
density = actual_edges / max_edges if max_edges > 0 else 0
|
||||
|
||||
results.append(CommunityResult(
|
||||
community_id=comm_id,
|
||||
nodes=nodes,
|
||||
size=size,
|
||||
density=min(density, 1.0)
|
||||
))
|
||||
|
||||
# 按大小排序
|
||||
results.sort(key=lambda x: x.size, reverse=True)
|
||||
return results
|
||||
|
||||
def find_central_entities(self, project_id: str,
|
||||
metric: str = "degree") -> List[CentralityResult]:
|
||||
"""
|
||||
查找中心实体
|
||||
|
||||
Args:
|
||||
project_id: 项目 ID
|
||||
metric: 中心性指标 ('degree', 'betweenness', 'closeness')
|
||||
|
||||
Returns:
|
||||
CentralityResult 列表
|
||||
"""
|
||||
if not self._driver:
|
||||
return []
|
||||
|
||||
with self._driver.session() as session:
|
||||
if metric == "degree":
|
||||
result = session.run("""
|
||||
MATCH (e:Entity)-[:BELONGS_TO]->(p:Project {id: $project_id})
|
||||
OPTIONAL MATCH (e)-[:RELATES_TO]-(other:Entity)
|
||||
WITH e, count(DISTINCT other) as degree
|
||||
RETURN e.id as entity_id, e.name as entity_name, degree as score
|
||||
ORDER BY degree DESC
|
||||
LIMIT 20
|
||||
""", project_id=project_id)
|
||||
else:
|
||||
# 默认使用度中心性
|
||||
result = session.run("""
|
||||
MATCH (e:Entity)-[:BELONGS_TO]->(p:Project {id: $project_id})
|
||||
OPTIONAL MATCH (e)-[:RELATES_TO]-(other:Entity)
|
||||
WITH e, count(DISTINCT other) as degree
|
||||
RETURN e.id as entity_id, e.name as entity_name, degree as score
|
||||
ORDER BY degree DESC
|
||||
LIMIT 20
|
||||
""", project_id=project_id)
|
||||
|
||||
rankings = []
|
||||
rank = 1
|
||||
for record in result:
|
||||
rankings.append(CentralityResult(
|
||||
entity_id=record["entity_id"],
|
||||
entity_name=record["entity_name"],
|
||||
score=float(record["score"]),
|
||||
rank=rank
|
||||
))
|
||||
rank += 1
|
||||
|
||||
return rankings
|
||||
|
||||
# ==================== 图统计 ====================
|
||||
|
||||
def get_graph_stats(self, project_id: str) -> Dict:
|
||||
"""
|
||||
获取项目的图统计信息
|
||||
|
||||
Args:
|
||||
project_id: 项目 ID
|
||||
|
||||
Returns:
|
||||
统计信息字典
|
||||
"""
|
||||
if not self._driver:
|
||||
return {}
|
||||
|
||||
with self._driver.session() as session:
|
||||
# 实体数量
|
||||
entity_count = session.run("""
|
||||
MATCH (e:Entity)-[:BELONGS_TO]->(p:Project {id: $project_id})
|
||||
RETURN count(e) as count
|
||||
""", project_id=project_id).single()["count"]
|
||||
|
||||
# 关系数量
|
||||
relation_count = session.run("""
|
||||
MATCH (e:Entity)-[:BELONGS_TO]->(p:Project {id: $project_id})
|
||||
MATCH (e)-[r:RELATES_TO]-()
|
||||
RETURN count(r) as count
|
||||
""", project_id=project_id).single()["count"]
|
||||
|
||||
# 实体类型分布
|
||||
type_distribution = session.run("""
|
||||
MATCH (e:Entity)-[:BELONGS_TO]->(p:Project {id: $project_id})
|
||||
RETURN e.type as type, count(e) as count
|
||||
ORDER BY count DESC
|
||||
""", project_id=project_id)
|
||||
|
||||
types = {record["type"]: record["count"] for record in type_distribution}
|
||||
|
||||
# 平均度
|
||||
avg_degree = session.run("""
|
||||
MATCH (e:Entity)-[:BELONGS_TO]->(p:Project {id: $project_id})
|
||||
OPTIONAL MATCH (e)-[:RELATES_TO]-(other)
|
||||
WITH e, count(other) as degree
|
||||
RETURN avg(degree) as avg_degree
|
||||
""", project_id=project_id).single()["avg_degree"]
|
||||
|
||||
# 关系类型分布
|
||||
rel_types = session.run("""
|
||||
MATCH (e:Entity)-[:BELONGS_TO]->(p:Project {id: $project_id})
|
||||
MATCH (e)-[r:RELATES_TO]-()
|
||||
RETURN r.relation_type as type, count(r) as count
|
||||
ORDER BY count DESC
|
||||
LIMIT 10
|
||||
""", project_id=project_id)
|
||||
|
||||
relation_types = {record["type"]: record["count"] for record in rel_types}
|
||||
|
||||
return {
|
||||
"entity_count": entity_count,
|
||||
"relation_count": relation_count,
|
||||
"type_distribution": types,
|
||||
"average_degree": round(avg_degree, 2) if avg_degree else 0,
|
||||
"relation_type_distribution": relation_types,
|
||||
"density": round(relation_count / (entity_count * (entity_count - 1)), 4) if entity_count > 1 else 0
|
||||
}
|
||||
|
||||
def get_subgraph(self, entity_ids: List[str], depth: int = 1) -> Dict:
|
||||
"""
|
||||
获取指定实体的子图
|
||||
|
||||
Args:
|
||||
entity_ids: 实体 ID 列表
|
||||
depth: 扩展深度
|
||||
|
||||
Returns:
|
||||
包含 nodes 和 relationships 的字典
|
||||
"""
|
||||
if not self._driver or not entity_ids:
|
||||
return {"nodes": [], "relationships": []}
|
||||
|
||||
with self._driver.session() as session:
|
||||
result = session.run("""
|
||||
MATCH (e:Entity)
|
||||
WHERE e.id IN $entity_ids
|
||||
CALL apoc.path.subgraphNodes(e, {
|
||||
relationshipFilter: 'RELATES_TO',
|
||||
minLevel: 0,
|
||||
maxLevel: $depth
|
||||
}) YIELD node
|
||||
RETURN DISTINCT node
|
||||
""", entity_ids=entity_ids, depth=depth)
|
||||
|
||||
nodes = []
|
||||
node_ids = set()
|
||||
for record in result:
|
||||
node = record["node"]
|
||||
node_ids.add(node["id"])
|
||||
nodes.append({
|
||||
"id": node["id"],
|
||||
"name": node["name"],
|
||||
"type": node["type"],
|
||||
"definition": node.get("definition", "")
|
||||
})
|
||||
|
||||
# 获取这些节点之间的关系
|
||||
result = session.run("""
|
||||
MATCH (source:Entity)-[r:RELATES_TO]->(target:Entity)
|
||||
WHERE source.id IN $node_ids AND target.id IN $node_ids
|
||||
RETURN source.id as source_id, target.id as target_id,
|
||||
r.relation_type as type, r.evidence as evidence
|
||||
""", node_ids=list(node_ids))
|
||||
|
||||
relationships = [
|
||||
{
|
||||
"source": record["source_id"],
|
||||
"target": record["target_id"],
|
||||
"type": record["type"],
|
||||
"evidence": record["evidence"]
|
||||
}
|
||||
for record in result
|
||||
]
|
||||
|
||||
return {
|
||||
"nodes": nodes,
|
||||
"relationships": relationships
|
||||
}
|
||||
|
||||
|
||||
# 全局单例
|
||||
_neo4j_manager = None
|
||||
|
||||
def get_neo4j_manager() -> Neo4jManager:
|
||||
"""获取 Neo4j 管理器单例"""
|
||||
global _neo4j_manager
|
||||
if _neo4j_manager is None:
|
||||
_neo4j_manager = Neo4jManager()
|
||||
return _neo4j_manager
|
||||
|
||||
|
||||
def close_neo4j_manager():
|
||||
"""关闭 Neo4j 连接"""
|
||||
global _neo4j_manager
|
||||
if _neo4j_manager:
|
||||
_neo4j_manager.close()
|
||||
_neo4j_manager = None
|
||||
|
||||
|
||||
# 便捷函数
|
||||
def sync_project_to_neo4j(project_id: str, project_name: str,
|
||||
entities: List[Dict], relations: List[Dict]):
|
||||
"""
|
||||
同步整个项目到 Neo4j
|
||||
|
||||
Args:
|
||||
project_id: 项目 ID
|
||||
project_name: 项目名称
|
||||
entities: 实体列表(字典格式)
|
||||
relations: 关系列表(字典格式)
|
||||
"""
|
||||
manager = get_neo4j_manager()
|
||||
if not manager.is_connected():
|
||||
logger.warning("Neo4j not connected, skipping sync")
|
||||
return
|
||||
|
||||
# 同步项目
|
||||
manager.sync_project(project_id, project_name)
|
||||
|
||||
# 同步实体
|
||||
graph_entities = [
|
||||
GraphEntity(
|
||||
id=e["id"],
|
||||
project_id=project_id,
|
||||
name=e["name"],
|
||||
type=e.get("type", "unknown"),
|
||||
definition=e.get("definition", ""),
|
||||
aliases=e.get("aliases", []),
|
||||
properties=e.get("properties", {})
|
||||
)
|
||||
for e in entities
|
||||
]
|
||||
manager.sync_entities_batch(graph_entities)
|
||||
|
||||
# 同步关系
|
||||
graph_relations = [
|
||||
GraphRelation(
|
||||
id=r["id"],
|
||||
source_id=r["source_entity_id"],
|
||||
target_id=r["target_entity_id"],
|
||||
relation_type=r["relation_type"],
|
||||
evidence=r.get("evidence", ""),
|
||||
properties=r.get("properties", {})
|
||||
)
|
||||
for r in relations
|
||||
]
|
||||
manager.sync_relations_batch(graph_relations)
|
||||
|
||||
logger.info(f"Synced project {project_id} to Neo4j: {len(entities)} entities, {len(relations)} relations")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# 测试代码
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
|
||||
manager = Neo4jManager()
|
||||
|
||||
if manager.is_connected():
|
||||
print("✅ Connected to Neo4j")
|
||||
|
||||
# 初始化 Schema
|
||||
manager.init_schema()
|
||||
print("✅ Schema initialized")
|
||||
|
||||
# 测试同步
|
||||
manager.sync_project("test-project", "Test Project", "A test project")
|
||||
print("✅ Project synced")
|
||||
|
||||
# 测试实体
|
||||
test_entity = GraphEntity(
|
||||
id="test-entity-1",
|
||||
project_id="test-project",
|
||||
name="Test Entity",
|
||||
type="Person",
|
||||
definition="A test entity"
|
||||
)
|
||||
manager.sync_entity(test_entity)
|
||||
print("✅ Entity synced")
|
||||
|
||||
# 获取统计
|
||||
stats = manager.get_graph_stats("test-project")
|
||||
print(f"📊 Graph stats: {stats}")
|
||||
|
||||
else:
|
||||
print("❌ Failed to connect to Neo4j")
|
||||
|
||||
manager.close()
|
||||
@@ -27,3 +27,6 @@ pandas==2.2.0
|
||||
openpyxl==3.1.2
|
||||
reportlab==4.0.9
|
||||
cairosvg==2.7.1
|
||||
|
||||
# Neo4j Graph Database
|
||||
neo4j==5.15.0
|
||||
|
||||
@@ -8,6 +8,30 @@ services:
|
||||
environment:
|
||||
- DEEPGRAM_API_KEY=${DEEPGRAM_API_KEY}
|
||||
- KIMI_API_KEY=${KIMI_API_KEY}
|
||||
- NEO4J_URI=bolt://neo4j:7687
|
||||
- NEO4J_USER=neo4j
|
||||
- NEO4J_PASSWORD=${NEO4J_PASSWORD:-insightflow}
|
||||
volumes:
|
||||
- ./data:/app/data
|
||||
restart: unless-stopped
|
||||
depends_on:
|
||||
- neo4j
|
||||
|
||||
neo4j:
|
||||
image: neo4j:5.15-community
|
||||
ports:
|
||||
- "7474:7474" # HTTP
|
||||
- "7687:7687" # Bolt
|
||||
environment:
|
||||
- NEO4J_AUTH=neo4j/${NEO4J_PASSWORD:-insightflow}
|
||||
- NEO4J_PLUGINS=["apoc", "gds"]
|
||||
- NEO4J_dbms_security_procedures_unrestricted=apoc.*,gds.*
|
||||
- NEO4J_dbms_security_procedures_allowlist=apoc.*,gds.*
|
||||
volumes:
|
||||
- neo4j_data:/data
|
||||
- neo4j_logs:/logs
|
||||
restart: unless-stopped
|
||||
|
||||
volumes:
|
||||
neo4j_data:
|
||||
neo4j_logs:
|
||||
|
||||
Reference in New Issue
Block a user