3f7e70db31
将废弃的lightrag兼容性接口从graph_router.py中移除 删除单独的test_graph_router.py测试文件 在test_unified_graph_router.py中添加相关测试
289 lines
11 KiB
Python
289 lines
11 KiB
Python
import traceback
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from fastapi import APIRouter, Body, Depends, HTTPException, Query
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from src.storage.db.models import User
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from server.utils.auth_middleware import get_admin_user
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from src import graph_base, knowledge_base
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from src.knowledge.adapters.factory import GraphAdapterFactory
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from src.knowledge.adapters.base import GraphAdapter
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from src.utils.logging_config import logger
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graph = APIRouter(prefix="/graph", tags=["graph"])
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# =============================================================================
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# === 统一图谱接口 (Unified Graph API) ===
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# =============================================================================
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async def _get_graph_adapter(db_id: str) -> GraphAdapter:
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"""
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根据数据库ID获取对应的图谱适配器
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Args:
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db_id: 数据库ID
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Returns:
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GraphAdapter: 对应的图谱适配器实例
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"""
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# 检查图数据库服务状态 (仅对 Upload 类型需要)
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if not graph_base.is_running():
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# 先尝试检测图谱类型，如果是不需要 graph_base 的类型则允许
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graph_type = GraphAdapterFactory.detect_graph_type(db_id, knowledge_base)
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if graph_type == "upload":
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raise HTTPException(status_code=503, detail="Graph database service is not running")
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# 使用工厂方法自动创建适配器
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return GraphAdapterFactory.create_adapter_by_db_id(
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db_id=db_id, knowledge_base_manager=knowledge_base, graph_db_instance=graph_base
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)
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def _get_capabilities_from_metadata(metadata) -> dict:
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"""从 GraphMetadata 对象提取 capabilities 字典"""
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return {
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"supports_embedding": metadata.supports_embedding,
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"supports_threshold": metadata.supports_threshold,
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}
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@graph.get("/list")
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async def get_graphs(current_user: User = Depends(get_admin_user)):
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"""
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获取所有可用的知识图谱列表
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Returns:
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包含所有图谱信息的列表 (包括 Neo4j 和 LightRAG)，以及每个类型的 capability 信息
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"""
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try:
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graphs = []
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# 1. 获取默认 Neo4j 图谱信息 (Upload 类型)
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neo4j_info = graph_base.get_graph_info()
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if neo4j_info:
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# 直接使用 Upload 适配器的默认 metadata
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from src.knowledge.adapters.upload import UploadGraphAdapter
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capabilities = _get_capabilities_from_metadata(UploadGraphAdapter._get_metadata(None))
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graphs.append(
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{
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"id": "neo4j",
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"name": "默认图谱",
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"type": "upload",
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"description": "Default graph database for uploaded documents",
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"status": neo4j_info.get("status", "unknown"),
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"created_at": neo4j_info.get("last_updated"),
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"node_count": neo4j_info.get("entity_count", 0),
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"edge_count": neo4j_info.get("relationship_count", 0),
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"capabilities": capabilities,
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}
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)
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# 2. 获取 LightRAG 数据库信息
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lightrag_dbs = knowledge_base.get_lightrag_databases()
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# 直接使用 LightRAG 适配器的默认 metadata
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from src.knowledge.adapters.lightrag import LightRAGGraphAdapter
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capabilities = _get_capabilities_from_metadata(LightRAGGraphAdapter._get_metadata(None))
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for db in lightrag_dbs:
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db_id = db.get("db_id")
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graphs.append(
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{
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"id": db_id,
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"name": db.get("name"),
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"type": "lightrag",
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"description": db.get("description"),
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"status": "active", # LightRAG DBs are usually active if listed
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"created_at": db.get("created_at"),
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"metadata": db,
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"capabilities": capabilities,
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}
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)
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return {"success": True, "data": graphs}
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except Exception as e:
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logger.error(f"Failed to list graphs: {e}")
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logger.error(f"Traceback: {traceback.format_exc()}")
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raise HTTPException(status_code=500, detail=f"Failed to list graphs: {str(e)}")
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@graph.get("/subgraph")
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async def get_subgraph(
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db_id: str = Query(..., description="知识图谱ID"),
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node_label: str = Query("*", description="节点标签或查询关键词"),
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max_depth: int = Query(2, description="最大深度", ge=1, le=5),
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max_nodes: int = Query(100, description="最大节点数", ge=1, le=1000),
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current_user: User = Depends(get_admin_user),
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):
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"""
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统一的子图查询接口
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Args:
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db_id: 图谱ID (LightRAG DB ID 或 "neo4j")
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node_label: 查询关键词或标签
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max_depth: 扩展深度
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max_nodes: 返回最大节点数
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"""
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try:
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logger.info(f"Querying subgraph - db_id: {db_id}, label: {node_label}")
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adapter = await _get_graph_adapter(db_id)
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# 统一查询参数 - 适配器会根据自己的配置处理这些参数
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query_kwargs = {
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"keyword": node_label,
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"max_depth": max_depth,
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"max_nodes": max_nodes,
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}
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result_data = await adapter.query_nodes(**query_kwargs)
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return {
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"success": True,
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"data": result_data,
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}
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Failed to get subgraph: {e}")
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logger.error(f"Traceback: {traceback.format_exc()}")
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raise HTTPException(status_code=500, detail=f"Failed to get subgraph: {str(e)}")
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@graph.get("/labels")
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async def get_graph_labels(
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db_id: str = Query(..., description="知识图谱ID"), current_user: User = Depends(get_admin_user)
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):
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"""
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获取图谱的所有标签
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"""
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try:
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# 使用统一的适配器获取标签
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adapter = await _get_graph_adapter(db_id)
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labels = await adapter.get_labels()
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return {"success": True, "data": {"labels": labels}}
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except Exception as e:
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logger.error(f"Failed to get labels: {e}")
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raise HTTPException(status_code=500, detail=f"Failed to get labels: {str(e)}")
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@graph.get("/stats")
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async def get_graph_stats(
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db_id: str = Query(..., description="知识图谱ID"), current_user: User = Depends(get_admin_user)
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):
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"""
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获取图谱统计信息
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"""
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try:
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# 使用适配器的统计信息 (适用于 kb_ 开头的数据库和 LightRAG 数据库)
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if db_id.startswith("kb_") or knowledge_base.is_lightrag_database(db_id):
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adapter = await _get_graph_adapter(db_id)
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stats_data = await adapter.get_stats()
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return {"success": True, "data": stats_data}
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else:
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# Neo4j stats (直接管理的图谱)
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info = graph_base.get_graph_info(graph_name=db_id)
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if not info:
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raise HTTPException(status_code=404, detail="Graph info not found")
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return {
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"success": True,
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"data": {
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"total_nodes": info.get("entity_count", 0),
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"total_edges": info.get("relationship_count", 0),
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# Neo4j info currently returns 'labels' list, not counts per label.
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# Improving this would require updating GraphDatabase.get_graph_info
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"entity_types": [{"type": label, "count": "N/A"} for label in info.get("labels", [])],
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},
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}
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except Exception as e:
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logger.error(f"Failed to get stats: {e}")
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raise HTTPException(status_code=500, detail=f"Failed to get stats: {str(e)}")
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@graph.get("/neo4j/nodes")
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async def get_neo4j_nodes(
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kgdb_name: str = Query(..., description="知识图谱数据库名称"),
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num: int = Query(100, description="节点数量", ge=1, le=1000),
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current_user: User = Depends(get_admin_user),
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):
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"""(Deprecated) Use /graph/subgraph instead"""
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response = await get_subgraph(db_id=kgdb_name, node_label="*", max_nodes=num, current_user=current_user)
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return {"success": True, "result": response["data"], "message": "success"}
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@graph.get("/neo4j/node")
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async def get_neo4j_node(
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entity_name: str = Query(..., description="实体名称"), current_user: User = Depends(get_admin_user)
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):
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"""(Deprecated) Use /graph/subgraph instead"""
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# neo4j/node uses query_nodes(keyword=entity_name)
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response = await get_subgraph(db_id="neo4j", node_label=entity_name, current_user=current_user)
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return {"success": True, "result": response["data"], "message": "success"}
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@graph.get("/neo4j/info")
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async def get_neo4j_info(current_user: User = Depends(get_admin_user)):
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"""获取Neo4j图数据库信息"""
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try:
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graph_info = graph_base.get_graph_info()
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if graph_info is None:
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raise HTTPException(status_code=400, detail="图数据库获取出错")
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return {"success": True, "data": graph_info}
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except Exception as e:
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logger.error(f"获取图数据库信息失败: {e}")
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raise HTTPException(status_code=500, detail=f"获取图数据库信息失败: {str(e)}")
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@graph.post("/neo4j/index-entities")
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async def index_neo4j_entities(data: dict = Body(default={}), current_user: User = Depends(get_admin_user)):
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"""为Neo4j图谱节点添加嵌入向量索引"""
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try:
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if not graph_base.is_running():
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raise HTTPException(status_code=400, detail="图数据库未启动")
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kgdb_name = data.get("kgdb_name", "neo4j")
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count = graph_base.add_embedding_to_nodes(kgdb_name=kgdb_name)
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return {
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"success": True,
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"status": "success",
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"message": f"已成功为{count}个节点添加嵌入向量",
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"indexed_count": count,
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}
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except Exception as e:
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logger.error(f"索引节点失败: {e}")
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raise HTTPException(status_code=500, detail=f"索引节点失败: {str(e)}")
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@graph.post("/neo4j/add-entities")
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async def add_neo4j_entities(
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file_path: str = Body(...), kgdb_name: str | None = Body(None), current_user: User = Depends(get_admin_user)
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):
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"""通过JSONL文件添加图谱实体到Neo4j"""
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try:
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# 验证文件路径
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if not file_path or not isinstance(file_path, str):
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return {"success": False, "message": "文件路径不能为空", "status": "failed"}
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file_path = file_path.strip()
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if not file_path:
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return {"success": False, "message": "文件路径不能为空", "status": "failed"}
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if not file_path.endswith(".jsonl"):
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return {"success": False, "message": "文件格式错误，请上传jsonl文件", "status": "failed"}
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await graph_base.jsonl_file_add_entity(file_path, kgdb_name)
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return {"success": True, "message": "实体添加成功", "status": "success"}
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except Exception as e:
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logger.error(f"添加实体失败: {e}, {traceback.format_exc()}")
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return {"success": False, "message": f"添加实体失败: {e}", "status": "failed"}
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