新增中翻英功能（记忆时间线）(用户摘要)(兴趣分布接口)(查询核心档案)(记忆洞察)-接口添加翻译字段

api/app/services/memory_storage_service.py

@@ -183,7 +183,7 @@ class DataConfigService: # 数据配置服务类（PostgreSQL）
                 "config_name": config.config_name,
                 "config_desc": config.config_desc,
                 "workspace_id": str(config.workspace_id) if config.workspace_id else None,
-                "group_id": config.group_id,
+                "end_user_id": config.end_user_id,
                 "user_id": config.user_id,
                 "apply_id": config.apply_id,
                 "llm_id": config.llm_id,
@@ -391,7 +391,7 @@ _neo4j_connector = Neo4jConnector()
 async def search_dialogue(end_user_id: Optional[str] = None) -> Dict[str, Any]:
     result = await _neo4j_connector.execute_query(
         DataConfigRepository.SEARCH_FOR_DIALOGUE,
-        group_id=end_user_id,
+        end_user_id=end_user_id,
     )
     data = {"search_for": "dialogue", "num": result[0]["num"]}
     return data
@@ -400,7 +400,7 @@ async def search_dialogue(end_user_id: Optional[str] = None) -> Dict[str, Any]:
 async def search_chunk(end_user_id: Optional[str] = None) -> Dict[str, Any]:
     result = await _neo4j_connector.execute_query(
         DataConfigRepository.SEARCH_FOR_CHUNK,
-        group_id=end_user_id,
+        end_user_id=end_user_id,
     )
     data = {"search_for": "chunk", "num": result[0]["num"]}
     return data
@@ -409,7 +409,7 @@ async def search_chunk(end_user_id: Optional[str] = None) -> Dict[str, Any]:
 async def search_statement(end_user_id: Optional[str] = None) -> Dict[str, Any]:
     result = await _neo4j_connector.execute_query(
         DataConfigRepository.SEARCH_FOR_STATEMENT,
-        group_id=end_user_id,
+        end_user_id=end_user_id,
     )
     data = {"search_for": "statement", "num": result[0]["num"]}
     return data
@@ -418,7 +418,7 @@ async def search_statement(end_user_id: Optional[str] = None) -> Dict[str, Any]:
 async def search_entity(end_user_id: Optional[str] = None) -> Dict[str, Any]:
     result = await _neo4j_connector.execute_query(
         DataConfigRepository.SEARCH_FOR_ENTITY,
-        group_id=end_user_id,
+        end_user_id=end_user_id,
     )
     data = {"search_for": "entity", "num": result[0]["num"]}
     return data
@@ -427,7 +427,7 @@ async def search_entity(end_user_id: Optional[str] = None) -> Dict[str, Any]:
 async def search_all(end_user_id: Optional[str] = None) -> Dict[str, Any]:
     result = await _neo4j_connector.execute_query(
         DataConfigRepository.SEARCH_FOR_ALL,
-        group_id=end_user_id,
+        end_user_id=end_user_id,
     )
 
     # 检查结果是否为空或长度不足
@@ -462,7 +462,7 @@ async def kb_type_distribution(end_user_id: Optional[str] = None) -> Dict[str, A
     """
     result = await _neo4j_connector.execute_query(
         DataConfigRepository.SEARCH_FOR_ALL,
-        group_id=end_user_id,
+        end_user_id=end_user_id,
     )
 
     # 检查结果是否为空或长度不足
@@ -493,7 +493,7 @@ async def kb_type_distribution(end_user_id: Optional[str] = None) -> Dict[str, A
 async def search_detials(end_user_id: Optional[str] = None) -> List[Dict[str, Any]]:
     result = await _neo4j_connector.execute_query(
         DataConfigRepository.SEARCH_FOR_DETIALS,
-        group_id=end_user_id,
+        end_user_id=end_user_id,
     )
     return result
 
@@ -501,11 +501,32 @@ async def search_detials(end_user_id: Optional[str] = None) -> List[Dict[str, An
 async def search_edges(end_user_id: Optional[str] = None) -> List[Dict[str, Any]]:
     result = await _neo4j_connector.execute_query(
         DataConfigRepository.SEARCH_FOR_EDGES,
-        group_id=end_user_id,
+        end_user_id=end_user_id,
     )
     return result
 
 
+async def search_entity_graph(end_user_id: Optional[str] = None) -> Dict[str, Any]:
+    """搜索所有实体之间的关系网络（group 维度）。"""
+    result = await _neo4j_connector.execute_query(
+        DataConfigRepository.SEARCH_FOR_ENTITY_GRAPH,
+        end_user_id=end_user_id,
+    )
+    # 对source_node 和 target_node 的 fact_summary进行截取，只截取前三条的内容（需要提取前三条“来源”）
+    for item in result:
+        source_fact = item["sourceNode"]["fact_summary"]
+        target_fact = item["targetNode"]["fact_summary"]
+        # 截取前三条“来源”
+        item["sourceNode"]["fact_summary"] = source_fact.split("\n")[:4] if source_fact else []
+        item["targetNode"]["fact_summary"] = target_fact.split("\n")[:4] if target_fact else []
+    # 与现有返回风格保持一致，携带搜索类型、数量与详情
+    data = {
+        "search_for": "entity_graph",
+        "num": len(result),
+        "detials": result,
+    }
+    return data
+
 
 async def analytics_hot_memory_tags(
     db: Session,