🤖 自动格式化代码 [skip ci]

src/chat/focus_chat/info_processors/working_memory_processor.py

@@ -193,7 +193,7 @@ class WorkingMemoryProcessor(BaseProcessor):
         if working_memory is None:
             logger.warning(f"{self.log_prefix} 工作记忆对象为None，无法压缩聊天记忆")
             return
-            
+
         try:
             summary_result, _ = await self.llm_model.generate_response_async(obs.compressor_prompt)
             if not summary_result:
@@ -250,7 +250,7 @@ class WorkingMemoryProcessor(BaseProcessor):
         if working_memory is None:
             logger.warning(f"{self.log_prefix} 工作记忆对象为None，无法合并记忆")
             return
-            
+
         try:
             merged_memory = await working_memory.merge_memory(memory_id1, memory_id2)
             logger.debug(f"{self.log_prefix} 合并后的记忆梗概: {merged_memory.brief}")

src/chat/knowledge/knowledge_lib.py

@@ -44,7 +44,6 @@ if bot_global_config.lpmm_knowledge.enable:
     logger.info(f"KG节点数量：{len(kg_manager.graph.get_node_list())}")
     logger.info(f"KG边数量：{len(kg_manager.graph.get_edge_list())}")
 
-
     # 数据比对：Embedding库与KG的段落hash集合
     for pg_hash in kg_manager.stored_paragraph_hashes:
         key = PG_NAMESPACE + "-" + pg_hash

src/chat/replyer/default_generator.py

@@ -960,7 +960,7 @@ async def get_prompt_info(message: str, threshold: float):
         if qa_manager is None:
             logger.debug("LPMM知识库已禁用，跳过知识获取")
             return ""
-            
+
         found_knowledge_from_lpmm = qa_manager.get_knowledge(message)
 
         end_time = time.time()

src/experimental/PFC/pfc_KnowledgeFetcher.py

@@ -39,7 +39,7 @@ class KnowledgeFetcher:
             if qa_manager is None:
                 logger.debug(f"[私聊][{self.private_name}]LPMM知识库已禁用，跳过知识获取")
                 return "未找到匹配的知识"
-                
+
             knowledge_info = qa_manager.get_knowledge(query)
             logger.debug(f"[私聊][{self.private_name}]LPMM知识库查询结果: {knowledge_info:150}")
             return knowledge_info