fix: ruff

interest_monitor_gui.py

@@ -8,7 +8,6 @@ from collections import deque
 import json # 引入 json
 
 # --- 引入 Matplotlib ---
-import matplotlib.pyplot as plt
 from matplotlib.figure import Figure
 from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
 import matplotlib.dates as mdates # 用于处理日期格式
@@ -165,7 +164,7 @@ class InterestMonitorApp:
                         error_count += 1
                         # logger.warning(f"Skipping invalid JSON line: {line.strip()}")
                         continue # 跳过无法解析的行
-                    except (TypeError, ValueError) as e:
+                    except (TypeError, ValueError):
                          error_count += 1
                          # logger.warning(f"Skipping line due to data type error ({e}): {line.strip()}")
                          continue # 跳过数据类型错误的行

src/do_tool/tool_use.py

@@ -1,14 +1,11 @@
 from src.plugins.models.utils_model import LLMRequest
 from src.config.config import global_config
 from src.plugins.chat.chat_stream import ChatStream
-from src.common.database import db
-import time
 import json
 from src.common.logger import get_module_logger, TOOL_USE_STYLE_CONFIG, LogConfig
 from src.do_tool.tool_can_use import get_all_tool_definitions, get_tool_instance
 from src.heart_flow.sub_heartflow import SubHeartflow
 import traceback
-from src.plugins.chat.utils import get_recent_group_detailed_plain_text
 
 tool_use_config = LogConfig(
     # 使用消息发送专用样式
@@ -62,7 +59,7 @@ class ToolUser:
         prompt = ""
         prompt += mid_memory_info
         prompt += "你正在思考如何回复群里的消息。\n"
-        prompt += f"之前群里进行了如下讨论:\n"
+        prompt += "之前群里进行了如下讨论:\n"
         prompt += message_txt
         # prompt += f"你注意到{sender_name}刚刚说：{message_txt}\n"
         prompt += f"注意你就是{bot_name}，{bot_name}是你的名字。根据之前的聊天记录补充问题信息，搜索时避开你的名字。\n"

src/heart_flow/sub_heartflow.py

@@ -238,12 +238,18 @@ class SubHeartflow:
                 extra_info_prompt = "无工具信息。\n" # 提供默认值
 
             individuality = Individuality.get_instance()
-            prompt_personality = f"你的名字是{self.bot_name},你"
+            prompt_personality = f"你的名字是{self.bot_name}，你"
             prompt_personality += individuality.personality.personality_core
-            personality_sides = individuality.personality.personality_sides
+            
-            if personality_sides: random.shuffle(personality_sides); prompt_personality += f",{personality_sides[0]}"
+            # 添加随机性格侧面
-            identity_detail = individuality.identity.identity_detail
+            if individuality.personality.personality_sides:
-            if identity_detail: random.shuffle(identity_detail); prompt_personality += f",{identity_detail[0]}"
+                random_side = random.choice(individuality.personality.personality_sides)
+                prompt_personality += f"，{random_side}"
+            
+            # 添加随机身份细节
+            if individuality.identity.identity_detail: 
+                random_detail = random.choice(individuality.identity.identity_detail)
+                prompt_personality += f"，{random_detail}"
 
             time_now = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
 

src/plugins/chat_module/heartFC_chat/heartFC__generator.py

@@ -1,5 +1,4 @@
 from typing import List, Optional
-import random
 
 
 from ...models.utils_model import LLMRequest

src/plugins/chat_module/heartFC_chat/heartFC_chat.py

@@ -1,5 +1,4 @@
 import time
-from random import random
 import traceback
 from typing import List, Optional, Dict
 import asyncio
@@ -18,7 +17,7 @@ from ...person_info.relationship_manager import relationship_manager
 from src.plugins.respon_info_catcher.info_catcher import info_catcher_manager
 from ...utils.timer_calculater import Timer
 from src.do_tool.tool_use import ToolUser
-from .interest import InterestManager, InterestChatting
+from .interest import InterestManager
 from src.plugins.chat.chat_stream import chat_manager
 from src.plugins.chat.message import BaseMessageInfo
 from .pf_chatting import PFChatting
@@ -405,7 +404,8 @@ class HeartFC_Chat:
                         # 假设 detailed_plain_text 字段包含所需文本
                         # 你可能需要更复杂的逻辑来格式化，例如添加发送者和时间
                         text = msg_dict.get('detailed_plain_text', '')
-                        if text: context_texts.append(text)
+                        if text: 
+                            context_texts.append(text)
                     observation_context_text = "\n".join(context_texts)
                     logger.debug(f"[{stream_name}] Context for tools:\n{observation_context_text[-200:]}...") # 打印部分上下文
                 else:
@@ -446,7 +446,8 @@ class HeartFC_Chat:
             except Exception as e:
                 logger.error(f"[{stream_name}] SubHeartflow 思考失败: {e}")
                 logger.error(traceback.format_exc())
-                if info_catcher: info_catcher.done_catch()
+                if info_catcher: 
+                    info_catcher.done_catch()
                 return # 思考失败则不继续
             if info_catcher:
                 info_catcher.catch_afer_shf_step(timing_results.get("生成内心想法(SubHF)"), past_mind, current_mind)
@@ -459,13 +460,15 @@ class HeartFC_Chat:
             except Exception as e:
                  logger.error(f"[{stream_name}] GPT 生成回复失败: {e}")
                  logger.error(traceback.format_exc())
-                 if info_catcher: info_catcher.done_catch()
+                 if info_catcher: 
+                     info_catcher.done_catch()
                  return
             if info_catcher:
                 info_catcher.catch_after_generate_response(timing_results.get("生成最终回复(GPT)"))
             if not response_set:
                 logger.info(f"[{stream_name}] 回复生成失败或为空。")
-                if info_catcher: info_catcher.done_catch()
+                if info_catcher: 
+                    info_catcher.done_catch()
                 return
 
             # --- 10. 发送消息 (使用 anchor_message) ---

src/plugins/chat_module/heartFC_chat/heartFC_processor.py

@@ -1,12 +1,11 @@
 import time
 import traceback
-import asyncio
 from ...memory_system.Hippocampus import HippocampusManager
 from ....config.config import global_config
 from ...chat.message import MessageRecv
 from ...storage.storage import MessageStorage
 from ...chat.utils import is_mentioned_bot_in_message
-from ...message import UserInfo, Seg
+from ...message import Seg
 from src.heart_flow.heartflow import heartflow
 from src.common.logger import get_module_logger, CHAT_STYLE_CONFIG, LogConfig
 from ...chat.chat_stream import chat_manager

src/plugins/chat_module/heartFC_chat/interest.py

@@ -4,12 +4,10 @@ import asyncio
 import threading
 import json # 引入 json
 import os   # 引入 os
-import traceback # <--- 添加导入
 from typing import Optional # <--- 添加导入
 import random # <--- 添加导入 random
 from src.common.logger import get_module_logger, LogConfig, DEFAULT_CONFIG # 引入 DEFAULT_CONFIG
 from src.plugins.chat.chat_stream import chat_manager # *** Import ChatManager ***
-from ...chat.message import MessageRecv # 导入 MessageRecv
 
 # 定义日志配置 (使用 loguru 格式)
 interest_log_config = LogConfig(

src/plugins/chat_module/heartFC_chat/messagesender.py

@@ -3,7 +3,6 @@ import time
 from typing import Dict, List, Optional, Union
 
 from src.common.logger import get_module_logger
-from ....common.database import db
 from ...message.api import global_api
 from ...chat.message import MessageSending, MessageThinking, MessageSet
 from ...storage.storage import MessageStorage

src/plugins/chat_module/heartFC_chat/pf_chatting.py

@@ -1,8 +1,7 @@
 import asyncio
 import time
 import traceback
-from typing import List, Optional, Dict, Any, Deque, Union, TYPE_CHECKING
+from typing import List, Optional, Dict, Any, TYPE_CHECKING
-from collections import deque
 import json
 
 from ....config.config import global_config
@@ -14,7 +13,6 @@ from src.plugins.chat.chat_stream import chat_manager
 from .messagesender import MessageManager
 from src.common.logger import get_module_logger, LogConfig, DEFAULT_CONFIG # 引入 DEFAULT_CONFIG
 from src.plugins.models.utils_model import LLMRequest
-from src.individuality.individuality import Individuality
 
 # 定义日志配置 (使用 loguru 格式)
 interest_log_config = LogConfig(
@@ -475,24 +473,36 @@ class PFChatting:
                             logger.info(f"{log_prefix}[Planner] LLM 决策: {action}, 理由: {reasoning}, EmojiQuery: '{emoji_query}'")
                         except json.JSONDecodeError as json_e:
                             logger.error(f"{log_prefix}[Planner] 解析工具参数失败: {json_e}. Arguments: {tool_call['function'].get('arguments')}")
-                            action = "error"; reasoning = "工具参数解析失败"; llm_error = True
+                            action = "error"
+                            reasoning = "工具参数解析失败"
+                            llm_error = True
                         except Exception as parse_e:
-                             logger.error(f"{log_prefix}[Planner] 处理工具参数时出错: {parse_e}")
+                            logger.error(f"{log_prefix}[Planner] 处理工具参数时出错: {parse_e}")
-                             action = "error"; reasoning = "处理工具参数时出错"; llm_error = True
+                            action = "error"
+                            reasoning = "处理工具参数时出错" 
+                            llm_error = True
                     else:
                         logger.warning(f"{log_prefix}[Planner] LLM 未按预期调用 'decide_reply_action' 工具。Tool calls: {tool_calls}")
-                        action = "error"; reasoning = "LLM未调用预期工具"; llm_error = True
+                        action = "error"
+                        reasoning = "LLM未调用预期工具"
+                        llm_error = True
                 else:
-                     logger.warning(f"{log_prefix}[Planner] LLM 响应中未包含有效的工具调用。Tool calls: {tool_calls}")
+                    logger.warning(f"{log_prefix}[Planner] LLM 响应中未包含有效的工具调用。Tool calls: {tool_calls}")
-                     action = "error"; reasoning = "LLM响应无工具调用"; llm_error = True
+                    action = "error"
+                    reasoning = "LLM响应无工具调用"
+                    llm_error = True
             else:
                 logger.warning(f"{log_prefix}[Planner] LLM 未返回预期的工具调用响应。Response parts: {len(response)}")
-                action = "error"; reasoning = "LLM响应格式错误"; llm_error = True
+                action = "error"
+                reasoning = "LLM响应格式错误"
+                llm_error = True
 
         except Exception as llm_e:
             logger.error(f"{log_prefix}[Planner] Planner LLM 调用失败: {llm_e}")
             logger.error(traceback.format_exc())
-            action = "error"; reasoning = f"LLM 调用失败: {llm_e}"; llm_error = True
+            action = "error"
+            reasoning = f"LLM 调用失败: {llm_e}"
+            llm_error = True
 
         # --- 返回决策结果 ---
         # Note: Lock release is handled by the loop now

src/plugins/chat_module/think_flow_chat/think_flow_chat.py

@@ -10,7 +10,7 @@ from .think_flow_generator import ResponseGenerator
 from ...chat.message import MessageSending, MessageRecv, MessageThinking, MessageSet
 from ...chat.messagesender import message_manager
 from ...storage.storage import MessageStorage
-from ...chat.utils import is_mentioned_bot_in_message, get_recent_group_detailed_plain_text
+from ...chat.utils import is_mentioned_bot_in_message
 from ...chat.utils_image import image_path_to_base64
 from ...willing.willing_manager import willing_manager
 from ...message import UserInfo, Seg