Fix/memory bug fix (#111)

* 图谱数据量限制数量去掉

* 图谱数据量限制数量去掉

* 图谱数据量限制数量去掉

* 用户详情优化

* 用户详情优化

* 用户详情优化

* 用户详情优化

* 用户详情优化

api/app/services/user_memory_service.py

@@ -15,6 +15,8 @@ from app.core.memory.utils.llm.llm_utils import MemoryClientFactory
 from app.db import get_db_context
 from app.repositories.end_user_repository import EndUserRepository
 from app.repositories.neo4j.neo4j_connector import Neo4jConnector
+from app.schemas.memory_episodic_schema import type_mapping, EmotionType, EmotionSubject
+
 from app.services.memory_base_service import MemoryBaseService
 from app.services.memory_config_service import MemoryConfigService
 from pydantic import BaseModel, Field
@@ -1332,7 +1334,7 @@ async def analytics_graph_data(
     db: Session,
     end_user_id: str,
     node_types: Optional[List[str]] = None,
-    limit: int = 100,
+    limit: int = 130,
     depth: int = 1,
     center_node_id: Optional[str] = None
 ) -> Dict[str, Any]:
@@ -1416,12 +1418,14 @@ async def analytics_graph_data(
                 elementId(n) as id,
                 labels(n)[0] as label,
                 properties(n) as properties
+            LIMIT $limit
             """
             node_params = {
                 "group_id": end_user_id,
-                # "limit": limit
+                "limit": limit
             }
 
+
         # 执行节点查询
         node_results = await _neo4j_connector.execute_query(node_query, **node_params)
         
@@ -1576,10 +1580,15 @@ async  def _extract_node_properties(label: str, properties: Dict[str, Any],node_
     for field in allowed_fields:
         if field in properties:
             value = properties[field]
+            if str(field) == 'entity_type':
+                value=type_mapping.get(value,'')
+            if str(field)=="emotion_type":
+                value=EmotionType.EMOTION_MAPPING.get(value)
+            if str(field)=="emotion_subject":
+                value=EmotionSubject.SUBJECT_MAPPING.get(value)
             # 清理 Neo4j 特殊类型
             filtered_props[field] = _clean_neo4j_value(value)
     filtered_props['associative_memory']=[i['rel_count'] for i in node_results][0]
-    print(filtered_props)
     return filtered_props