feat:记忆系统再优化，现在及时构建，并且不会重复构建

src/chat/heart_flow/heartflow.py

@@ -3,7 +3,6 @@ from typing import Any, Optional, Dict
 
 from src.common.logger import get_logger
 from src.chat.heart_flow.sub_heartflow import SubHeartflow
-from src.chat.message_receive.chat_stream import get_chat_manager
 
 logger = get_logger("heartflow")
 
@@ -27,8 +26,6 @@ class Heartflow:
 
             # 注册子心流
             self.subheartflows[subheartflow_id] = new_subflow
-            heartflow_name = get_chat_manager().get_stream_name(subheartflow_id) or subheartflow_id
-            logger.info(f"[{heartflow_name}] 开始接收消息")
 
             return new_subflow
         except Exception as e:

src/chat/heart_flow/heartflow_message_processor.py

@@ -35,13 +35,13 @@ async def _calculate_interest(message: MessageRecv) -> Tuple[float, bool, list[s
     interested_rate = 0.0
 
     with Timer("记忆激活"):
-        interested_rate, keywords = await hippocampus_manager.get_activate_from_text(
+        interested_rate, keywords,keywords_lite = await hippocampus_manager.get_activate_from_text(
             message.processed_plain_text,
             max_depth= 4,
             fast_retrieval=False,
         )
         message.key_words = keywords
-        message.key_words_lite = keywords
+        message.key_words_lite = keywords_lite
         logger.debug(f"记忆激活率: {interested_rate:.2f}, 关键词: {keywords}")
 
     text_len = len(message.processed_plain_text)