fix：修复引用回复逻辑

.gitignore

@@ -5,6 +5,8 @@ NapCat.Framework.Windows.Once/
 log/
 logs/
 tool_call_benchmark.py
+run_maibot_core.bat
+run_napcat_adapter.bat
 run_ad.bat
 llm_tool_benchmark_results.json
 MaiBot-Napcat-Adapter-main

src/do_tool/tool_can_use/lpmm_get_knowledge.py

@@ -52,7 +52,7 @@ class SearchKnowledgeFromLPMMTool(BaseTool):
         except Exception as e:
             logger.error(f"知识库搜索工具执行失败: {str(e)}")
             # 在其他异常情况下，确保 id 仍然是 query (如果它被定义了)
-            query_id = query if 'query' in locals() else 'unknown_query'
+            query_id = query if "query" in locals() else "unknown_query"
             return {"type": "info", "id": query_id, "content": f"lpmm知识库搜索失败，炸了: {str(e)}"}
 
     # def get_info_from_db(
@@ -143,13 +143,15 @@ class SearchKnowledgeFromLPMMTool(BaseTool):
 
         formatted_string = "我找到了一些相关知识：\n"
         for i, result in enumerate(results):
-            chunk_id = result.get("chunk_id")
+            # chunk_id = result.get("chunk_id")
             text = result.get("text", "")
             source = result.get("source", "未知来源")
             source_type = result.get("source_type", "未知类型")
             similarity = result.get("similarity", 0.0)
 
-            formatted_string += f"{i + 1}. (相似度: {similarity:.2f}) 类型: {source_type}, 来源: {source} \n内容片段: {text}\n\n"
+            formatted_string += (
+                f"{i + 1}. (相似度: {similarity:.2f}) 类型: {source_type}, 来源: {source} \n内容片段: {text}\n\n"
+            )
             # 暂时去掉chunk_id
             # formatted_string += f"{i + 1}. (相似度: {similarity:.2f}) 类型: {source_type}, 来源: {source}, Chunk ID: {chunk_id} \n内容片段: {text}\n\n"
 

src/do_tool/tool_can_use/rename_person_tool.py

@@ -1,28 +1,24 @@
 from src.do_tool.tool_can_use.base_tool import BaseTool, register_tool
 from src.plugins.person_info.person_info import person_info_manager
 from src.common.logger_manager import get_logger
-from src.plugins.person_info.relationship_manager import relationship_manager
-import json
 import time
 
 logger = get_logger("rename_person_tool")
 
+
 class RenamePersonTool(BaseTool):
     name = "rename_person"
     description = "这个工具可以改变用户的昵称。你可以选择改变对他人的称呼。"
     parameters = {
         "type": "object",
         "properties": {
-            "person_name": {
+            "person_name": {"type": "string", "description": "需要重新取名的用户的当前昵称"},
-                "type": "string",
-                "description": "需要重新取名的用户的当前昵称"
-            },
             "message_content": {
                 "type": "string",
-                "description": "可选的。当前的聊天内容或特定要求，用于提供取名建议的上下文。"
+                "description": "可选的。当前的聊天内容或特定要求，用于提供取名建议的上下文。",
-            }
+            },
         },
-        "required": ["person_name"]
+        "required": ["person_name"],
     }
 
     async def execute(self, function_args: dict, message_txt=""):
@@ -37,13 +33,10 @@ class RenamePersonTool(BaseTool):
             dict: 包含执行结果的字典
         """
         person_name_to_find = function_args.get("person_name")
-        request_context = function_args.get("message_content", "") # 如果没有提供，则为空字符串
+        request_context = function_args.get("message_content", "")  # 如果没有提供，则为空字符串
 
         if not person_name_to_find:
-            return {
+            return {"name": self.name, "content": "错误：必须提供需要重命名的用户昵称 (person_name)。"}
-                "name": self.name,
-                "content": "错误：必须提供需要重命名的用户昵称 (person_name)。"
-            }
 
         try:
             # 1. 根据昵称查找用户信息
@@ -54,35 +47,34 @@ class RenamePersonTool(BaseTool):
                 logger.info(f"未找到昵称为 '{person_name_to_find}' 的用户。")
                 return {
                     "name": self.name,
-                    "content": f"找不到昵称为 '{person_name_to_find}' 的用户。请确保输入的是我之前为该用户取的昵称。"
+                    "content": f"找不到昵称为 '{person_name_to_find}' 的用户。请确保输入的是我之前为该用户取的昵称。",
                 }
 
             person_id = person_info.get("person_id")
-            user_nickname = person_info.get("nickname") # 这是用户原始昵称
+            user_nickname = person_info.get("nickname")  # 这是用户原始昵称
             user_cardname = person_info.get("user_cardname")
             user_avatar = person_info.get("user_avatar")
 
             if not person_id:
-                 logger.error(f"找到了用户 '{person_name_to_find}' 但无法获取 person_id")
+                logger.error(f"找到了用户 '{person_name_to_find}' 但无法获取 person_id")
-                 return {
+                return {"name": self.name, "content": f"找到了用户 '{person_name_to_find}' 但获取内部ID时出错。"}
-                    "name": self.name,
-                    "content": f"找到了用户 '{person_name_to_find}' 但获取内部ID时出错。"
-                }
 
             # 2. 调用 qv_person_name 进行取名
-            logger.debug(f"为用户 {person_id} (原昵称: {person_name_to_find}) 调用 qv_person_name，请求上下文: '{request_context}'")
+            logger.debug(
+                f"为用户 {person_id} (原昵称: {person_name_to_find}) 调用 qv_person_name，请求上下文: '{request_context}'"
+            )
             result = await person_info_manager.qv_person_name(
                 person_id=person_id,
                 user_nickname=user_nickname,
                 user_cardname=user_cardname,
                 user_avatar=user_avatar,
-                request=request_context
+                request=request_context,
             )
 
             # 3. 处理结果
             if result and result.get("nickname"):
                 new_name = result["nickname"]
-                reason = result.get("reason", "未提供理由")
+                # reason = result.get("reason", "未提供理由")
                 logger.info(f"成功为用户 {person_id} 取了新昵称: {new_name}")
 
                 content = f"已成功将用户 {person_name_to_find} 的备注名更新为 {new_name}"
@@ -93,14 +85,14 @@ class RenamePersonTool(BaseTool):
                 # 尝试从内存中获取可能已经更新的名字
                 current_name = await person_info_manager.get_value(person_id, "person_name")
                 if current_name and current_name != person_name_to_find:
-                     return {
+                    return {
                         "name": self.name,
-                        "content": f"尝试取新昵称时遇到一点小问题，但我已经将 '{person_name_to_find}' 的昵称更新为 '{current_name}' 了。"
+                        "content": f"尝试取新昵称时遇到一点小问题，但我已经将 '{person_name_to_find}' 的昵称更新为 '{current_name}' 了。",
                     }
                 else:
-                     return {
+                    return {
                         "name": self.name,
-                        "content": f"尝试为 '{person_name_to_find}' 取新昵称时遇到了问题，未能成功生成。可能需要稍后再试。"
+                        "content": f"尝试为 '{person_name_to_find}' 取新昵称时遇到了问题，未能成功生成。可能需要稍后再试。",
                     }
 
         except Exception as e:
@@ -108,5 +100,6 @@ class RenamePersonTool(BaseTool):
             logger.error(error_msg, exc_info=True)
             return {"type": "info_error", "id": f"rename_error_{time.time()}", "content": error_msg}
 
+
 # 注册工具
-register_tool(RenamePersonTool) 
+register_tool(RenamePersonTool)

src/heart_flow/background_tasks.py

@@ -18,7 +18,7 @@ INTEREST_EVAL_INTERVAL_SECONDS = 5
 # 新增聊天超时检查间隔
 NORMAL_CHAT_TIMEOUT_CHECK_INTERVAL_SECONDS = 60
 # 新增状态评估间隔
-HF_JUDGE_STATE_UPDATE_INTERVAL_SECONDS = 60
+HF_JUDGE_STATE_UPDATE_INTERVAL_SECONDS = 20
 # 新增私聊激活检查间隔
 PRIVATE_CHAT_ACTIVATION_CHECK_INTERVAL_SECONDS = 5  # 与兴趣评估类似，设为5秒
 

src/heart_flow/observation.py

@@ -14,6 +14,8 @@ from src.plugins.utils.chat_message_builder import (
 )
 from src.plugins.utils.prompt_builder import Prompt, global_prompt_manager
 from typing import Optional
+import difflib
+from src.plugins.chat.message import MessageRecv  # 添加 MessageRecv 导入
 
 # Import the new utility function
 from .utils_chat import get_chat_type_and_target_info
@@ -227,6 +229,70 @@ class ChattingObservation(Observation):
             f"Chat {self.chat_id} - 压缩早期记忆：{self.mid_memory_info}\n现在聊天内容：{self.talking_message_str}"
         )
 
+    async def find_best_matching_message(self, search_str: str, min_similarity: float = 0.6) -> Optional[MessageRecv]:
+        """
+        在 talking_message 中查找与 search_str 最匹配的消息。
+
+        Args:
+            search_str: 要搜索的字符串。
+            min_similarity: 要求的最低相似度（0到1之间）。
+
+        Returns:
+            匹配的 MessageRecv 实例，如果找不到则返回 None。
+        """
+        best_match_score = -1.0
+        best_match_dict = None
+
+        if not self.talking_message:
+            logger.debug(f"Chat {self.chat_id}: talking_message is empty, cannot find match for '{search_str}'")
+            return None
+
+        for message_dict in self.talking_message:
+            try:
+                # 临时创建 MessageRecv 以处理文本
+                temp_msg = MessageRecv(message_dict)
+                await temp_msg.process()  # 处理消息以获取 processed_plain_text
+                current_text = temp_msg.processed_plain_text
+
+                if not current_text:  # 跳过没有文本内容的消息
+                    continue
+
+                # 计算相似度
+                matcher = difflib.SequenceMatcher(None, search_str, current_text)
+                score = matcher.ratio()
+
+                # logger.debug(f"Comparing '{search_str}' with '{current_text}', score: {score}") # 可选：用于调试
+
+                if score > best_match_score:
+                    best_match_score = score
+                    best_match_dict = message_dict
+
+            except Exception as e:
+                logger.error(f"Error processing message for matching in chat {self.chat_id}: {e}", exc_info=True)
+                continue  # 继续处理下一条消息
+
+        if best_match_dict is not None and best_match_score >= min_similarity:
+            logger.debug(f"Found best match for '{search_str}' with score {best_match_score:.2f}")
+            try:
+                final_msg = MessageRecv(best_match_dict)
+                await final_msg.process()
+                # 确保 MessageRecv 实例有关联的 chat_stream
+                if hasattr(self, "chat_stream"):
+                    final_msg.update_chat_stream(self.chat_stream)
+                else:
+                    logger.warning(
+                        f"ChattingObservation instance for chat {self.chat_id} does not have a chat_stream attribute set."
+                    )
+                return final_msg
+            except Exception as e:
+                logger.error(f"Error creating final MessageRecv for chat {self.chat_id}: {e}", exc_info=True)
+                return None
+        else:
+            logger.debug(
+                f"No suitable match found for '{search_str}' in chat {self.chat_id} (best score: {best_match_score:.2f}, threshold: {min_similarity})"
+            )
+            return None
+
     async def has_new_messages_since(self, timestamp: float) -> bool:
         """检查指定时间戳之后是否有新消息"""
         count = num_new_messages_since(chat_id=self.chat_id, timestamp_start=timestamp)

src/heart_flow/sub_mind.py

@@ -1,4 +1,4 @@
-from .observation import Observation, ChattingObservation
+from .observation import ChattingObservation
 from src.plugins.models.utils_model import LLMRequest
 from src.config.config import global_config
 import time
@@ -146,10 +146,9 @@ class SubMind:
         lines = ["【信息】"]
         for item in self.structured_info:
             # 简化展示，突出内容和类型，包含TTL供调试
-            type_str = item.get('type', '未知类型')
+            type_str = item.get("type", "未知类型")
-            content_str = item.get('content', '')
+            content_str = item.get("content", "")
-            ttl = item.get('ttl', '?')
+
-            
             if type_str == "info":
                 lines.append(f"刚刚: {content_str}")
             elif type_str == "memory":
@@ -178,18 +177,24 @@ class SubMind:
 
         # ---------- 0. 更新和清理 structured_info ----------
         if self.structured_info:
-            logger.debug(f"{self.log_prefix} 更新前的 structured_info: {safe_json_dumps(self.structured_info, ensure_ascii=False)}")
+            logger.debug(
+                f"{self.log_prefix} 更新前的 structured_info: {safe_json_dumps(self.structured_info, ensure_ascii=False)}"
+            )
             updated_info = []
             for item in self.structured_info:
-                item['ttl'] -= 1
+                item["ttl"] -= 1
-                if item['ttl'] > 0:
+                if item["ttl"] > 0:
                     updated_info.append(item)
                 else:
                     logger.debug(f"{self.log_prefix} 移除过期的 structured_info 项: {item['id']}")
             self.structured_info = updated_info
-            logger.debug(f"{self.log_prefix} 更新后的 structured_info: {safe_json_dumps(self.structured_info, ensure_ascii=False)}")
+            logger.debug(
+                f"{self.log_prefix} 更新后的 structured_info: {safe_json_dumps(self.structured_info, ensure_ascii=False)}"
+            )
             self._update_structured_info_str()
-        logger.debug(f"{self.log_prefix} 当前完整的 structured_info: {safe_json_dumps(self.structured_info, ensure_ascii=False)}")
+        logger.debug(
+            f"{self.log_prefix} 当前完整的 structured_info: {safe_json_dumps(self.structured_info, ensure_ascii=False)}"
+        )
 
         # ---------- 1. 准备基础数据 ----------
         # 获取现有想法和情绪状态
@@ -202,10 +207,10 @@ class SubMind:
             logger.error(f"{self.log_prefix} 无法获取有效的观察对象或缺少聊天类型信息")
             self.update_current_mind("(观察出错了...)")
             return self.current_mind, self.past_mind
-        
+
         is_group_chat = observation.is_group_chat
         # logger.debug(f"is_group_chat: {is_group_chat}")
-        
+
         chat_target_info = observation.chat_target_info
         chat_target_name = "对方"  # Default for private
         if not is_group_chat and chat_target_info:
@@ -496,7 +501,7 @@ class SubMind:
             tool_instance: 工具使用器实例
         """
         tool_results = []
-        new_structured_items = [] # 收集新产生的结构化信息
+        new_structured_items = []  # 收集新产生的结构化信息
 
         # 执行所有工具调用
         for tool_call in tool_calls:
@@ -506,26 +511,26 @@ class SubMind:
                     tool_results.append(result)
                     # 创建新的结构化信息项
                     new_item = {
-                        "type": result.get("type", "unknown_type"), # 使用 'type' 键
+                        "type": result.get("type", "unknown_type"),  # 使用 'type' 键
-                        "id": result.get("id", f"fallback_id_{time.time()}"), # 使用 'id' 键
+                        "id": result.get("id", f"fallback_id_{time.time()}"),  # 使用 'id' 键
-                        "content": result.get("content", ""), # 'content' 键保持不变
+                        "content": result.get("content", ""),  # 'content' 键保持不变
-                        "ttl": 3
+                        "ttl": 3,
                     }
                     new_structured_items.append(new_item)
 
             except Exception as tool_e:
                 logger.error(f"[{self.subheartflow_id}] 工具执行失败: {tool_e}")
-                logger.error(traceback.format_exc()) # 添加 traceback 记录
+                logger.error(traceback.format_exc())  # 添加 traceback 记录
 
         # 如果有新的工具结果，记录并更新结构化信息
         if new_structured_items:
-            self.structured_info.extend(new_structured_items) # 添加到现有列表
+            self.structured_info.extend(new_structured_items)  # 添加到现有列表
             logger.debug(f"工具调用收集到新的结构化信息: {safe_json_dumps(new_structured_items, ensure_ascii=False)}")
             # logger.debug(f"当前完整的 structured_info: {safe_json_dumps(self.structured_info, ensure_ascii=False)}") # 可以取消注释以查看完整列表
-            self._update_structured_info_str() # 添加新信息后，更新字符串表示
+            self._update_structured_info_str()  # 添加新信息后，更新字符串表示
 
     def update_current_mind(self, response):
-        if self.current_mind: # 只有当 current_mind 非空时才添加到 past_mind
+        if self.current_mind:  # 只有当 current_mind 非空时才添加到 past_mind
             self.past_mind.append(self.current_mind)
             # 可以考虑限制 past_mind 的大小，例如:
             # max_past_mind_size = 10

src/heart_flow/subheartflow_manager.py

@@ -128,7 +128,7 @@ class SubHeartflowManager:
                 # 添加聊天观察者
                 observation = ChattingObservation(chat_id=subheartflow_id)
                 await observation.initialize()
-                
+
                 new_subflow.add_observation(observation)
 
                 # 注册子心流

src/plugins/chat/bot.py

@@ -82,15 +82,14 @@ class ChatBot:
             if userinfo.user_id in global_config.ban_user_id:
                 logger.debug(f"用户{userinfo.user_id}被禁止回复")
                 return
-            
+
             if groupinfo is None:
                 logger.trace("检测到私聊消息，检查")
-                            # 好友黑名单拦截
+                # 好友黑名单拦截
                 if userinfo.user_id not in global_config.talk_allowed_private:
                     logger.debug(f"用户{userinfo.user_id}没有私聊权限")
                     return
 
-
             # 群聊黑名单拦截
             if groupinfo is not None and groupinfo.group_id not in global_config.talk_allowed_groups:
                 logger.trace(f"群{groupinfo.group_id}被禁止回复")

src/plugins/chat/message.py

@@ -294,7 +294,9 @@ class MessageSending(MessageProcessBase):
 
     def set_reply(self, reply: Optional["MessageRecv"] = None):
         """设置回复消息"""
-        if self.message_info.format_info is not None and "reply" in self.message_info.format_info.accept_format:
+        # print(f"set_reply: {reply}")
+        # if self.message_info.format_info is not None and "reply" in self.message_info.format_info.accept_format:
+        if True:
             if reply:
                 self.reply = reply
             if self.reply:

src/plugins/chat/message_sender.py

@@ -209,24 +209,31 @@ class MessageManager:
             _ = message.update_thinking_time()  # 更新思考时间
             thinking_start_time = message.thinking_start_time
             now_time = time.time()
+            logger.debug(f"thinking_start_time:{thinking_start_time},now_time:{now_time}")
             thinking_messages_count, thinking_messages_length = count_messages_between(
                 start_time=thinking_start_time, end_time=now_time, stream_id=message.chat_stream.stream_id
             )
+            # print(f"message.reply:{message.reply}")
 
             # --- 条件应用 set_reply 逻辑 ---
+            logger.debug(
+                f"[message.apply_set_reply_logic:{message.apply_set_reply_logic},message.is_head:{message.is_head},thinking_messages_count:{thinking_messages_count},thinking_messages_length:{thinking_messages_length},message.is_private_message():{message.is_private_message()}]"
+            )
             if (
                 message.apply_set_reply_logic  # 检查标记
                 and message.is_head
-                and (thinking_messages_count > 4 or thinking_messages_length > 250)
+                and (thinking_messages_count > 1 or thinking_messages_length > 20)
                 and not message.is_private_message()
             ):
                 logger.debug(
                     f"[{message.chat_stream.stream_id}] 应用 set_reply 逻辑: {message.processed_plain_text[:20]}..."
                 )
-                message.set_reply()
+                message.set_reply(message.reply)
             # --- 结束条件 set_reply ---
 
             await message.process()  # 预处理消息内容
+            
+            logger.debug(f"{message}")
 
             # 使用全局 message_sender 实例
             await send_message(message)

src/plugins/chat/utils.py

@@ -6,13 +6,13 @@ from collections import Counter
 import jieba
 import numpy as np
 from src.common.logger import get_module_logger
+from pymongo.errors import PyMongoError
 
 from ..models.utils_model import LLMRequest
 from ..utils.typo_generator import ChineseTypoGenerator
 from ...config.config import global_config
-from .message import MessageRecv, Message
+from .message import MessageRecv
 from maim_message import UserInfo
-from .chat_stream import ChatStream
 from ..moods.moods import MoodManager
 from ...common.database import db
 
@@ -107,8 +107,6 @@ async def get_embedding(text, request_type="embedding"):
     return embedding
 
 
-
-
 def get_recent_group_detailed_plain_text(chat_stream_id: str, limit: int = 12, combine=False):
     recent_messages = list(
         db.messages.find(
@@ -566,93 +564,45 @@ def count_messages_between(start_time: float, end_time: float, stream_id: str) -
     """计算两个时间点之间的消息数量和文本总长度
 
     Args:
-        start_time (float): 起始时间戳
+        start_time (float): 起始时间戳 (不包含)
-        end_time (float): 结束时间戳
+        end_time (float): 结束时间戳 (包含)
         stream_id (str): 聊天流ID
 
     Returns:
         tuple[int, int]: (消息数量, 文本总长度)
-        - 消息数量：包含起始时间的消息，不包含结束时间的消息
-        - 文本总长度：所有消息的processed_plain_text长度之和
     """
+    count = 0
+    total_length = 0
+
+    # 参数校验 (可选但推荐)
+    if start_time >= end_time:
+        # logger.debug(f"开始时间 {start_time} 大于或等于结束时间 {end_time}，返回 0, 0")
+        return 0, 0
+    if not stream_id:
+        logger.error("stream_id 不能为空")
+        return 0, 0
+
+    # 直接查询时间范围内的消息
+    # time > start_time AND time <= end_time
+    query = {"chat_id": stream_id, "time": {"$gt": start_time, "$lte": end_time}}
+
     try:
-        # 获取开始时间之前最新的一条消息
+        # 执行查询
-        start_message = db.messages.find_one(
+        messages_cursor = db.messages.find(query)
-            {"chat_id": stream_id, "time": {"$lte": start_time}},
-            sort=[("time", -1), ("_id", -1)],  # 按时间倒序，_id倒序（最后插入的在前）
-        )
 
-        # 获取结束时间最近的一条消息
+        # 遍历结果计算数量和长度
-        # 先找到结束时间点的所有消息
+        for msg in messages_cursor:
-        end_time_messages = list(
-            db.messages.find(
-                {"chat_id": stream_id, "time": {"$lte": end_time}},
-                sort=[("time", -1)],  # 先按时间倒序
-            ).limit(10)
-        )  # 限制查询数量，避免性能问题
-
-        if not end_time_messages:
-            logger.warning(f"未找到结束时间 {end_time} 之前的消息")
-            return 0, 0
-
-        # 找到最大时间
-        max_time = end_time_messages[0]["time"]
-        # 在最大时间的消息中找最后插入的（_id最大的）
-        end_message = max([msg for msg in end_time_messages if msg["time"] == max_time], key=lambda x: x["_id"])
-
-        if not start_message:
-            logger.warning(f"未找到开始时间 {start_time} 之前的消息")
-            return 0, 0
-
-        # 调试输出
-        # print("\n=== 消息范围信息 ===")
-        # print("Start message:", {
-        #     "message_id": start_message.get("message_id"),
-        #     "time": start_message.get("time"),
-        #     "text": start_message.get("processed_plain_text", ""),
-        #     "_id": str(start_message.get("_id"))
-        # })
-        # print("End message:", {
-        #     "message_id": end_message.get("message_id"),
-        #     "time": end_message.get("time"),
-        #     "text": end_message.get("processed_plain_text", ""),
-        #     "_id": str(end_message.get("_id"))
-        # })
-        # print("Stream ID:", stream_id)
-
-        # 如果结束消息的时间等于开始时间，返回0
-        if end_message["time"] == start_message["time"]:
-            return 0, 0
-
-        # 获取并打印这个时间范围内的所有消息
-        # print("\n=== 时间范围内的所有消息 ===")
-        all_messages = list(
-            db.messages.find(
-                {"chat_id": stream_id, "time": {"$gte": start_message["time"], "$lte": end_message["time"]}},
-                sort=[("time", 1), ("_id", 1)],  # 按时间正序，_id正序
-            )
-        )
-
-        count = 0
-        total_length = 0
-        for msg in all_messages:
             count += 1
-            text_length = len(msg.get("processed_plain_text", ""))
+            total_length += len(msg.get("processed_plain_text", ""))
-            total_length += text_length
-            # print(f"\n消息 {count}:")
-            # print({
-            #     "message_id": msg.get("message_id"),
-            #     "time": msg.get("time"),
-            #     "text": msg.get("processed_plain_text", ""),
-            #     "text_length": text_length,
-            #     "_id": str(msg.get("_id"))
-            # })
 
-        # 如果时间不同，需要把end_message本身也计入
+        # logger.debug(f"查询范围 ({start_time}, {end_time}] 内找到 {count} 条消息，总长度 {total_length}")
-        return count - 1, total_length
+        return count, total_length
 
-    except Exception as e:
+    except PyMongoError as e:
-        logger.error(f"计算消息数量时出错: {str(e)}")
+        logger.error(f"查询 stream_id={stream_id} 在 ({start_time}, {end_time}] 范围内的消息时出错: {e}")
+        return 0, 0
+    except Exception as e:  # 保留一个通用异常捕获以防万一
+        logger.error(f"计算消息数量时发生意外错误: {e}")
         return 0, 0
 
 

src/plugins/heartFC_chat/heartflow_prompt_builder.py

@@ -372,6 +372,7 @@ class PromptBuilder:
             memory_prompt = await global_prompt_manager.format_prompt(
                 "memory_prompt", related_memory_info=related_memory_info
             )
+
         message_list_before_now = get_raw_msg_before_timestamp_with_chat(
             chat_id=chat_stream.stream_id,
             timestamp=time.time(),

src/plugins/heartFC_chat/normal_chat.py

@@ -86,11 +86,12 @@ class NormalChat:
             bot_user_info=bot_user_info,
             reply=message,
             thinking_start_time=thinking_time_point,
-            timestamp=timestamp if timestamp is not None else None
+            timestamp=timestamp if timestamp is not None else None,
         )
 
         await message_manager.add_message(thinking_message)
         return thinking_id
+
     # 改为实例方法
     async def _add_messages_to_manager(
         self, message: MessageRecv, response_set: List[str], thinking_id
@@ -206,7 +207,10 @@ class NormalChat:
                 try:
                     # 处理消息
                     await self.normal_response(
-                        message=message, is_mentioned=is_mentioned, interested_rate=interest_value, rewind_response = False
+                        message=message,
+                        is_mentioned=is_mentioned,
+                        interested_rate=interest_value,
+                        rewind_response=False,
                     )
                 except Exception as e:
                     logger.error(f"[{self.stream_name}] 处理兴趣消息{msg_id}时出错: {e}\n{traceback.format_exc()}")
@@ -214,7 +218,9 @@ class NormalChat:
                     self.interest_dict.pop(msg_id, None)
 
     # 改为实例方法, 移除 chat 参数
-    async def normal_response(self, message: MessageRecv, is_mentioned: bool, interested_rate: float, rewind_response: bool = False) -> None:
+    async def normal_response(
+        self, message: MessageRecv, is_mentioned: bool, interested_rate: float, rewind_response: bool = False
+    ) -> None:
         # 检查收到的消息是否属于当前实例处理的 chat stream
         if message.chat_stream.stream_id != self.stream_id:
             logger.error(
@@ -393,13 +399,17 @@ class NormalChat:
 
             try:
                 logger.info(f"[{self.stream_name}] 处理初始高兴趣消息 {msg_id} (兴趣值: {interest_value:.2f})")
-                await self.normal_response(message=message, is_mentioned=is_mentioned, interested_rate=interest_value, rewind_response = True)
+                await self.normal_response(
+                    message=message, is_mentioned=is_mentioned, interested_rate=interest_value, rewind_response=True
+                )
                 processed_count += 1
             except Exception as e:
                 logger.error(f"[{self.stream_name}] 处理初始兴趣消息 {msg_id} 时出错: {e}\\n{traceback.format_exc()}")
 
         # --- 新增：处理完后清空整个字典 ---
-        logger.info(f"[{self.stream_name}] 处理了 {processed_count} 条初始高兴趣消息。现在清空所有剩余的初始兴趣消息...")
+        logger.info(
+            f"[{self.stream_name}] 处理了 {processed_count} 条初始高兴趣消息。现在清空所有剩余的初始兴趣消息..."
+        )
         self.interest_dict.clear()
         # --- 新增结束 ---
 

src/plugins/person_info/person_info.py

@@ -188,7 +188,9 @@ class PersonInfoManager:
         logger.warning(f"无法从文本中提取有效的JSON字典: {text}")
         return {"nickname": "", "reason": ""}
 
-    async def qv_person_name(self, person_id: str, user_nickname: str, user_cardname: str, user_avatar: str, request: str = ""):
+    async def qv_person_name(
+        self, person_id: str, user_nickname: str, user_cardname: str, user_avatar: str, request: str = ""
+    ):
         """给某个用户取名"""
         if not person_id:
             logger.debug("取名失败：person_id不能为空")
@@ -214,7 +216,7 @@ class PersonInfoManager:
                 qv_name_prompt += f"你之前叫他{old_name}，是因为{old_reason}，"
 
             qv_name_prompt += f"\n其他取名的要求是：{request}"
-            
+
             qv_name_prompt += "\n请根据以上用户信息，想想你叫他什么比较好，请最好使用用户的qq昵称，可以稍作修改"
             if existing_names:
                 qv_name_prompt += f"\n请注意，以下名称已被使用，不要使用以下昵称：{existing_names}。\n"
@@ -526,7 +528,7 @@ class PersonInfoManager:
         for pid, name in self.person_name_list.items():
             if name == person_name:
                 found_person_id = pid
-                break # 找到第一个匹配就停止
+                break  # 找到第一个匹配就停止
 
         if not found_person_id:
             # 如果内存没有，尝试数据库查询（可能内存未及时更新或启动时未加载）
@@ -535,21 +537,21 @@ class PersonInfoManager:
                 found_person_id = document.get("person_id")
             else:
                 logger.debug(f"数据库中也未找到名为 '{person_name}' 的用户")
-                return None # 数据库也找不到
+                return None  # 数据库也找不到
 
         # 根据找到的 person_id 获取所需信息
         if found_person_id:
             required_fields = ["person_id", "platform", "user_id", "nickname", "user_cardname", "user_avatar"]
             person_data = await self.get_values(found_person_id, required_fields)
-            if person_data: # 确保 get_values 成功返回
+            if person_data:  # 确保 get_values 成功返回
                 return person_data
             else:
                 logger.warning(f"找到了 person_id '{found_person_id}' 但获取详细信息失败")
                 return None
         else:
-             # 这理论上不应该发生，因为上面已经处理了找不到的情况
+            # 这理论上不应该发生，因为上面已经处理了找不到的情况
-             logger.error(f"逻辑错误：未能为 '{person_name}' 确定 person_id")
+            logger.error(f"逻辑错误：未能为 '{person_name}' 确定 person_id")
-             return None
+            return None
 
 
 person_info_manager = PersonInfoManager()