ruff reformatted

src/plugins/PFC/pfc_KnowledgeFetcher.py

@@ -7,24 +7,22 @@ from ..chat.message import Message
 
 logger = get_module_logger("knowledge_fetcher")
 
+
 class KnowledgeFetcher:
     """知识调取器"""
-    
+
     def __init__(self):
         self.llm = LLM_request(
-            model=global_config.llm_normal,
-            temperature=0.7,
-            max_tokens=1000,
-            request_type="knowledge_fetch"
+            model=global_config.llm_normal, temperature=0.7, max_tokens=1000, request_type="knowledge_fetch"
         )
-        
+
     async def fetch(self, query: str, chat_history: List[Message]) -> Tuple[str, str]:
         """获取相关知识
-        
+
         Args:
             query: 查询内容
             chat_history: 聊天历史
-            
+
         Returns:
             Tuple[str, str]: (获取的知识, 知识来源)
         """
@@ -33,16 +31,16 @@ class KnowledgeFetcher:
         for msg in chat_history:
             # sender = msg.message_info.user_info.user_nickname or f"用户{msg.message_info.user_info.user_id}"
             chat_history_text += f"{msg.detailed_plain_text}\n"
-        
+
         # 从记忆中获取相关知识
         related_memory = await HippocampusManager.get_instance().get_memory_from_text(
             text=f"{query}\n{chat_history_text}",
             max_memory_num=3,
             max_memory_length=2,
             max_depth=3,
-            fast_retrieval=False
+            fast_retrieval=False,
         )
-        
+
         if related_memory:
             knowledge = ""
             sources = []
@@ -50,5 +48,5 @@ class KnowledgeFetcher:
                 knowledge += memory[1] + "\n"
                 sources.append(f"记忆片段{memory[0]}")
             return knowledge.strip(), "，".join(sources)
-        
-        return "未找到相关知识", "无记忆匹配" 
+
+        return "未找到相关知识", "无记忆匹配"