pass ruff

src/chat/focus_chat/expressors/default_expressor.py

@@ -16,7 +16,6 @@ from src.chat.utils.info_catcher import info_catcher_manager
 from src.chat.heart_flow.utils_chat import get_chat_type_and_target_info
 from src.chat.message_receive.chat_stream import ChatStream
 from src.chat.focus_chat.hfc_utils import parse_thinking_id_to_timestamp
-from src.individuality.individuality import individuality
 from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
 from src.chat.utils.chat_message_builder import build_readable_messages, get_raw_msg_before_timestamp_with_chat
 import time
@@ -106,10 +105,7 @@ class DefaultExpressor:
             user_nickname=global_config.bot.nickname,
             platform=messageinfo.platform,
         )
-        # logger.debug(f"创建思考消息：{anchor_message}")
-        # logger.debug(f"创建思考消息chat：{chat}")
-        # logger.debug(f"创建思考消息bot_user_info：{bot_user_info}")
-        # logger.debug(f"创建思考消息messageinfo：{messageinfo}")
+
         thinking_message = MessageThinking(
             message_id=thinking_id,
             chat_stream=chat,
@@ -281,14 +277,14 @@ class DefaultExpressor:
         in_mind_reply,
         target_message,
     ) -> str:
-        prompt_personality = individuality.get_prompt(x_person=0, level=2)
+        # prompt_personality = individuality.get_prompt(x_person=0, level=2)
 
         # Determine if it's a group chat
         is_group_chat = bool(chat_stream.group_info)
 
         # Use sender_name passed from caller for private chat, otherwise use a default for group
         # Default sender_name for group chat isn't used in the group prompt template, but set for consistency
-        effective_sender_name = sender_name if not is_group_chat else "某人"
+        # effective_sender_name = sender_name if not is_group_chat else "某人"
 
         message_list_before_now = get_raw_msg_before_timestamp_with_chat(
             chat_id=chat_stream.stream_id,
@@ -377,7 +373,11 @@ class DefaultExpressor:
         # --- 发送器 (Sender) --- #
 
     async def send_response_messages(
-        self, anchor_message: Optional[MessageRecv], response_set: List[Tuple[str, str]], thinking_id: str = "", display_message: str = ""
+        self,
+        anchor_message: Optional[MessageRecv],
+        response_set: List[Tuple[str, str]],
+        thinking_id: str = "",
+        display_message: str = "",
     ) -> Optional[MessageSending]:
         """发送回复消息 (尝试锚定到 anchor_message)，使用 HeartFCSender"""
         chat = self.chat_stream
@@ -412,10 +412,9 @@ class DefaultExpressor:
             # 为每个消息片段生成唯一ID
             type = msg_text[0]
             data = msg_text[1]
-            
+
             if global_config.experimental.debug_show_chat_mode and type == "text":
                 data += "ᶠ"
-            
 
             part_message_id = f"{thinking_id}_{i}"
             message_segment = Seg(type=type, data=data)

src/chat/focus_chat/heartFC_chat.py

@@ -379,12 +379,14 @@ class HeartFChatting:
 
         for processor in self.processors:
             processor_name = processor.__class__.log_prefix
+
             # 用lambda包裹，便于传参
             async def run_with_timeout(proc=processor):
                 return await asyncio.wait_for(
                     proc.process_info(observations=observations, running_memorys=running_memorys),
-                    timeout=PROCESSOR_TIMEOUT
+                    timeout=PROCESSOR_TIMEOUT,
                 )
+
             task = asyncio.create_task(run_with_timeout())
             processor_tasks.append(task)
             task_to_name_map[task] = processor_name

src/chat/focus_chat/heartflow_message_processor.py

@@ -1,4 +1,3 @@
-import time
 import traceback
 from ..memory_system.Hippocampus import HippocampusManager
 from ...config.config import global_config
@@ -73,12 +72,12 @@ async def _calculate_interest(message: MessageRecv) -> Tuple[float, bool]:
         text_len = len(message.processed_plain_text)
         # 根据文本长度调整兴趣度，长度越大兴趣度越高，但增长率递减，最低0.01，最高0.05
         # 采用对数函数实现递减增长
-        
+
         base_interest = 0.01 + (0.05 - 0.01) * (math.log10(text_len + 1) / math.log10(1000 + 1))
         base_interest = min(max(base_interest, 0.01), 0.05)
-        
+
         interested_rate += base_interest
-        
+
         logger.trace(f"记忆激活率: {interested_rate:.2f}")
 
     if is_mentioned:
@@ -220,11 +219,7 @@ class HeartFCMessageReceiver:
             # 7. 日志记录
             mes_name = chat.group_info.group_name if chat.group_info else "私聊"
             # current_time = time.strftime("%H:%M:%S", time.localtime(message.message_info.time))
-            logger.info(
-                f"[{mes_name}]"
-                f"{userinfo.user_nickname}:"
-                f"{message.processed_plain_text}"
-            )
+            logger.info(f"[{mes_name}]{userinfo.user_nickname}:{message.processed_plain_text}")
 
             # 8. 关系处理
             if global_config.relationship.give_name: