🤖 自动格式化代码 [skip ci]

src/heart_flow/heartflow.py

@@ -343,10 +343,15 @@ class Heartflow:
 
                         for sub_hf in subflows_snapshot:
                             # Double-check if subflow still exists and is in CHAT state
-                            if sub_hf.subheartflow_id in self._subheartflows and sub_hf.chat_state.chat_status == ChatState.CHAT:
+                            if (
+                                sub_hf.subheartflow_id in self._subheartflows
+                                and sub_hf.chat_state.chat_status == ChatState.CHAT
+                            ):
                                 evaluated_count += 1
                                 if await sub_hf.should_evaluate_reply():
-                                    stream_name = chat_manager.get_stream_name(sub_hf.subheartflow_id) or sub_hf.subheartflow_id
+                                    stream_name = (
+                                        chat_manager.get_stream_name(sub_hf.subheartflow_id) or sub_hf.subheartflow_id
+                                    )
                                     log_prefix = f"[{stream_name}]"
                                     logger.info(f"{log_prefix} 兴趣概率触发，尝试将状态从 CHAT 提升到 FOCUSED")
                                     # set_chat_state handles limit checks and HeartFChatting creation internally

src/plugins/heartFC_chat/heartflow_prompt_builder.py

@@ -476,7 +476,6 @@ class PromptBuilder:
         return related_info
 
     async def get_prompt_info(self, message: str, threshold: float):
-
         related_info = ""
         start_time = time.time()
 
@@ -486,7 +485,9 @@ class PromptBuilder:
 
         end_time = time.time()
         if found_knowledge_from_lpmm is not None:
-            logger.debug(f"从LPMM知识库获取知识，相关信息：{found_knowledge_from_lpmm[:100]}...，信息长度: {len(found_knowledge_from_lpmm)}")
+            logger.debug(
+                f"从LPMM知识库获取知识，相关信息：{found_knowledge_from_lpmm[:100]}...，信息长度: {len(found_knowledge_from_lpmm)}"
+            )
             related_info += found_knowledge_from_lpmm
             logger.debug(f"获取知识库内容耗时: {(end_time - start_time):.3f}秒")
             logger.debug(f"获取知识库内容，相关信息：{related_info[:100]}...，信息长度: {len(related_info)}")
@@ -498,8 +499,6 @@ class PromptBuilder:
             logger.debug(f"获取知识库内容，相关信息：{related_info[:100]}...，信息长度: {len(related_info)}")
             return related_info
 
-    
-
     @staticmethod
     def get_info_from_db(
         query_embedding: list, limit: int = 1, threshold: float = 0.5, return_raw: bool = False