end_user_id清理干净

api/app/core/agent/langchain_agent.py

@@ -155,7 +155,7 @@ class LangChainAgent:
     #                     userid=end_user_end,
     #                     messages=messages,
     #                     apply_id=end_user_end,
-    #                     group_id=end_user_end,
+    #                     end_user_id=end_user_end,
     #                     aimessages=aimessages
     #                 )
     #     store.delete_duplicate_sessions()
@@ -228,7 +228,7 @@ class LangChainAgent:
             # 6. 每个 Chunk 保存到 Neo4j，包含 speaker 字段
             logger.info(f"[WRITE] Submitting Celery task - user={actual_end_user_id}, messages={len(structured_messages)}, config={actual_config_id}")
             write_id = write_message_task.delay(
-                actual_end_user_id,  # group_id: 用户ID
+                actual_end_user_id,  # end_user_id: 用户ID
                 structured_messages,  # message: 结构化消息列表 [{"role": "user", "content": "..."}, {"role": "assistant", "content": "..."}]
                 actual_config_id,    # config_id: 配置ID
                 storage_type,        # storage_type: "neo4j"

api/app/core/memory/agent/utils/get_dialogs.py

@@ -18,7 +18,7 @@ async def get_chunked_dialogs(
 
     Args:
         chunker_strategy: The chunking strategy to use (default: RecursiveChunker)
-        group_id: Group identifier
+        end_user_id: Group identifier
         messages: Structured message list [{"role": "user", "content": "..."}, ...]
         ref_id: Reference identifier
         config_id: Configuration ID for processing

api/app/core/memory/agent/utils/write_tools.py

@@ -40,7 +40,7 @@ async def write(
     Args:
         user_id: User identifier
         apply_id: Application identifier
-        group_id: Group identifier
+        end_user_id: Group identifier
         memory_config: MemoryConfig object containing all configuration
         messages: Structured message list [{"role": "user", "content": "..."}, ...]
         ref_id: Reference ID, defaults to "wyl20251027"

api/app/core/memory/evaluation/longmemeval/qwen_search_eval.py

@@ -1307,7 +1307,7 @@ def main():
     result = asyncio.run(
         run_longmemeval_test(
             sample_size=sample_size,
-            group_id=args.group_id,
+            end_user_id=args.end_user_id,
             search_limit=args.search_limit,
             context_char_budget=args.context_char_budget,
             llm_temperature=args.llm_temperature,

api/app/core/memory/models/message_models.py

@@ -246,9 +246,9 @@ class DialogData(BaseModel):
         return []
 
     def assign_group_id_to_statements(self) -> None:
-        """Assign this dialog's group_id to all statements in all chunks.
+        """Assign this dialog's end_user_id to all statements in all chunks.
 
-        This method updates statements that don't have a group_id set.
+        This method updates statements that don't have a end_user_id set.
         """
         for chunk in self.chunks:
             for statement in chunk.statements: