feat：新增用户侧写功能

src/chat/focus_chat/info_processors/relationship_processor.py

@@ -123,9 +123,6 @@ class RelationshipProcessor(BaseProcessor):
                 # 获取聊天内容
                 chat_observe_info = observation.get_observe_info()
                 person_list = observation.person_list
-            if isinstance(observation, HFCloopObservation):
-                # hfcloop_observe_info = observation.get_observe_info()
-                pass
 
         nickname_str = ""
         for nicknames in global_config.bot.alias_names:

src/chat/utils/utils.py

@@ -623,15 +623,15 @@ def translate_timestamp_to_human_readable(timestamp: float, mode: str = "normal"
         diff = now - timestamp
 
         if diff < 20:
-            return "刚刚:\n"
+            return "刚刚"
         elif diff < 60:
-            return f"{int(diff)}秒前:\n"
+            return f"{int(diff)}秒前"
         elif diff < 3600:
-            return f"{int(diff / 60)}分钟前:\n"
+            return f"{int(diff / 60)}分钟前"
         elif diff < 86400:
-            return f"{int(diff / 3600)}小时前:\n"
+            return f"{int(diff / 3600)}小时前"
         elif diff < 86400 * 2:
-            return f"{int(diff / 86400)}天前:\n"
+            return f"{int(diff / 86400)}天前"
         else:
             return time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(timestamp)) + ":\n"
     else:  # mode = "lite" or unknown

src/main.py

@@ -21,6 +21,7 @@ from .common.server import global_server, Server
 from rich.traceback import install
 from .chat.focus_chat.expressors.exprssion_learner import expression_learner
 from .api.main import start_api_server
+from .person_info.impression_update_task import impression_update_task
 
 install(extra_lines=3)
 
@@ -60,6 +61,9 @@ class MainSystem:
         # 添加遥测心跳任务
         await async_task_manager.add_task(TelemetryHeartBeatTask())
 
+        # 添加印象更新任务
+        await async_task_manager.add_task(impression_update_task)
+
         # 启动API服务器
         start_api_server()
         logger.success("API服务器启动成功")

src/person_info/impression_update_task.py

@@ -0,0 +1,147 @@
+from src.manager.async_task_manager import AsyncTask
+from src.common.logger_manager import get_logger
+from src.person_info.relationship_manager import relationship_manager
+from src.chat.message_receive.chat_stream import ChatStream
+from src.chat.utils.chat_message_builder import get_raw_msg_by_timestamp_with_chat_users
+from src.chat.utils.chat_message_builder import get_raw_msg_by_timestamp
+from src.config.config import global_config
+from src.person_info.person_info import person_info_manager
+from src.chat.message_receive.chat_stream import chat_manager
+import time
+import random
+from collections import defaultdict
+
+logger = get_logger("impression_update_task")
+
+class ImpressionUpdateTask(AsyncTask):
+    def __init__(self):
+        super().__init__(
+            task_name="impression_update",
+            wait_before_start=10,  # 启动后等待10秒
+            run_interval=60  # 每1分钟运行一次
+        )
+
+    async def run(self):
+        try:
+            logger.info("开始执行印象更新任务")
+            
+            # 获取最近10分钟的消息
+            current_time = int(time.time())
+            start_time = current_time - 3600  # 10分钟前
+            logger.debug(f"获取时间范围: {start_time} -> {current_time}")
+            
+            # 获取所有消息
+            messages = get_raw_msg_by_timestamp(
+                timestamp_start=start_time,
+                timestamp_end=current_time,
+                limit=200
+            )
+            
+            if not messages:
+                logger.info("没有找到需要处理的消息")
+                return
+                
+            logger.info(f"获取到 {len(messages)} 条消息")
+                
+            # 按chat_id分组消息
+            chat_messages = defaultdict(list)
+            for msg in messages:
+                chat_messages[msg["chat_id"]].append(msg)
+            
+            logger.info(f"消息按聊天分组: {len(chat_messages)} 个聊天组")
+            
+            # 处理每个聊天组
+            for chat_id, msgs in chat_messages.items():
+                logger.info(f"处理聊天组 {chat_id}, 消息数: {len(msgs)}")
+                
+                # 获取chat_stream
+                chat_stream = chat_manager.get_stream(chat_id)
+                if not chat_stream:
+                    logger.warning(f"未找到聊天组 {chat_id} 的chat_stream，跳过处理")
+                    continue
+                    
+                # 统计用户发言权重
+                user_weights = defaultdict(lambda: {"weight": 0, "messages": [], "middle_time": 0})
+                
+                # 找到bot的消息
+                bot_messages = [msg for msg in msgs if msg["user_nickname"] == global_config.bot.nickname]
+                logger.debug(f"找到 {len(bot_messages)} 条bot消息")
+                
+                for bot_msg in bot_messages:
+                    # 获取bot消息前后的消息
+                    bot_time = bot_msg["time"]
+                    context_messages = [msg for msg in msgs if abs(msg["time"] - bot_time) <= 600]  # 前后10分钟
+                    logger.debug(f"Bot消息 {bot_time} 的上下文消息数: {len(context_messages)}")
+                    
+                    # 计算权重
+                    for msg in context_messages:
+                        if msg["user_nickname"] == global_config.bot.nickname:
+                            continue
+                            
+                        person_id = person_info_manager.get_person_id(msg["chat_info_platform"], msg["user_id"])
+                        if not person_id:
+                            logger.warning(f"未找到用户 {msg['user_nickname']} 的person_id")
+                            continue
+                            
+                        # 在bot消息附近的发言权重加倍
+                        if abs(msg["time"] - bot_time) <= 300:  # 前后5分钟
+                            user_weights[person_id]["weight"] += 2
+                            logger.debug(f"用户 {msg['user_nickname']} 在bot消息附近发言，权重+2")
+                        else:
+                            user_weights[person_id]["weight"] += 1
+                            logger.debug(f"用户 {msg['user_nickname']} 发言，权重+1")
+                            
+                        user_weights[person_id]["messages"].append(msg)
+                
+                # 计算每个用户的中间时间
+                for person_id, data in user_weights.items():
+                    if data["messages"]:
+                        sorted_messages = sorted(data["messages"], key=lambda x: x["time"])
+                        middle_index = len(sorted_messages) // 2
+                        data["middle_time"] = sorted_messages[middle_index]["time"]
+                        logger.debug(f"用户 {sorted_messages[0]['user_nickname']} 中间时间: {data['middle_time']}")
+                
+                # 按权重排序
+                sorted_users = sorted(
+                    user_weights.items(),
+                    key=lambda x: x[1]["weight"],
+                    reverse=True
+                )
+                
+                logger.info(f"用户权重排序: {[(msg[1]['messages'][0]['user_nickname'], msg[1]['weight']) for msg in sorted_users]}")
+                
+                # 随机选择三个用户
+                selected_users = []
+                if len(sorted_users) > 3:
+                    # 使用权重作为概率进行随机选择
+                    weights = [user[1]["weight"] for user in sorted_users]
+                    selected_indices = random.choices(
+                        range(len(sorted_users)),
+                        weights=weights,
+                        k=3
+                    )
+                    selected_users = [sorted_users[i] for i in selected_indices]
+                    logger.info(f"随机选择用户: {[msg[1]['messages'][0]['user_nickname'] for msg in selected_users]}")
+                else:
+                    selected_users = sorted_users
+                    logger.info(f"用户数不足3个，全部选择: {[msg[1]['messages'][0]['user_nickname'] for msg in selected_users]}")
+                
+                # 更新选中用户的印象
+                for person_id, data in selected_users:
+                    user_nickname = data["messages"][0]["user_nickname"]
+                    logger.info(f"开始更新用户 {user_nickname} 的印象")
+                    await relationship_manager.update_person_impression(
+                        person_id=person_id,
+                        chat_id=chat_id,
+                        reason="",
+                        timestamp=data["middle_time"]
+                    )
+                    logger.info(f"用户 {user_nickname} 的印象更新完成")
+                    
+            logger.info("印象更新任务执行完成")
+                    
+        except Exception as e:
+            logger.exception(f"更新印象任务失败: {str(e)}")
+
+# 创建任务实例
+impression_update_task = ImpressionUpdateTask() 

src/person_info/person_info.py

@@ -32,6 +32,7 @@ logger = get_logger("person_info")
 person_info_default = {
     "person_id": None,
     "person_name": None,  # 模型中已设为 null=True，此默认值OK
+    "person_name_reason": None,
     "name_reason": None,
     "platform": "unknown",  # 提供非None的默认值
     "user_id": "unknown",  # 提供非None的默认值

src/person_info/relationship_manager.py

@@ -1,26 +1,29 @@
 from src.common.logger_manager import get_logger
 from src.chat.message_receive.chat_stream import ChatStream
 import math
-from bson.decimal128 import Decimal128
 from src.person_info.person_info import person_info_manager
 import time
 import random
-from maim_message import UserInfo
+from src.llm_models.utils_model import LLMRequest
-
+from src.config.config import global_config
+from src.chat.utils.chat_message_builder import get_raw_msg_by_timestamp_with_chat_users
+from src.chat.utils.chat_message_builder import build_readable_messages
 from src.manager.mood_manager import mood_manager
 
-# import re
-# import traceback
-
 
 logger = get_logger("relation")
 
-
 class RelationshipManager:
     def __init__(self):
         self.positive_feedback_value = 0  # 正反馈系统
         self.gain_coefficient = [1.0, 1.0, 1.1, 1.2, 1.4, 1.7, 1.9, 2.0]
         self._mood_manager = None
+        
+        self.relationship_llm = LLMRequest(
+            model=global_config.model.normal_chat_1,
+            max_tokens=1000,
+            request_type="relationship",  # 用于动作规划
+        )
 
     @property
     def mood_manager(self):
@@ -112,91 +115,6 @@ class RelationshipManager:
             person_id=person_id, user_nickname=user_nickname, user_cardname=user_cardname, user_avatar=user_avatar
         )
 
-    async def calculate_update_relationship_value(self, user_info: UserInfo, platform: str, label: str, stance: str):
-        """计算并变更关系值
-        新的关系值变更计算方式：
-            将关系值限定在-1000到1000
-            对于关系值的变更，期望：
-                1.向两端逼近时会逐渐减缓
-                2.关系越差，改善越难，关系越好，恶化越容易
-                3.人维护关系的精力往往有限，所以当高关系值用户越多，对于中高关系值用户增长越慢
-                4.连续正面或负面情感会正反馈
-
-        返回：
-            用户昵称，变更值，变更后关系等级
-
-        """
-        stancedict = {
-            "支持": 0,
-            "中立": 1,
-            "反对": 2,
-        }
-
-        valuedict = {
-            "开心": 1.5,
-            "愤怒": -2.0,
-            "悲伤": -0.5,
-            "惊讶": 0.6,
-            "害羞": 2.0,
-            "平静": 0.3,
-            "恐惧": -1.5,
-            "厌恶": -1.0,
-            "困惑": 0.5,
-        }
-
-        person_id = person_info_manager.get_person_id(platform, user_info.user_id)
-        data = {
-            "platform": platform,
-            "user_id": user_info.user_id,
-            "nickname": user_info.user_nickname,
-            "konw_time": int(time.time()),
-        }
-        old_value = await person_info_manager.get_value(person_id, "relationship_value")
-        old_value = self.ensure_float(old_value, person_id)
-
-        if old_value > 1000:
-            old_value = 1000
-        elif old_value < -1000:
-            old_value = -1000
-
-        value = valuedict[label]
-        if old_value >= 0:
-            if valuedict[label] >= 0 and stancedict[stance] != 2:
-                value = value * math.cos(math.pi * old_value / 2000)
-                if old_value > 500:
-                    rdict = await person_info_manager.get_specific_value_list("relationship_value", lambda x: x > 700)
-                    high_value_count = len(rdict)
-                    if old_value > 700:
-                        value *= 3 / (high_value_count + 2)  # 排除自己
-                    else:
-                        value *= 3 / (high_value_count + 3)
-            elif valuedict[label] < 0 and stancedict[stance] != 0:
-                value = value * math.exp(old_value / 2000)
-            else:
-                value = 0
-        elif old_value < 0:
-            if valuedict[label] >= 0 and stancedict[stance] != 2:
-                value = value * math.exp(old_value / 2000)
-            elif valuedict[label] < 0 and stancedict[stance] != 0:
-                value = value * math.cos(math.pi * old_value / 2000)
-            else:
-                value = 0
-
-        self.positive_feedback_sys(label, stance)
-        value = self.mood_feedback(value)
-
-        level_num = self.calculate_level_num(old_value + value)
-        relationship_level = ["厌恶", "冷漠", "一般", "友好", "喜欢", "暧昧"]
-        logger.info(
-            f"用户: {user_info.user_nickname}"
-            f"当前关系: {relationship_level[level_num]}, "
-            f"关系值: {old_value:.2f}, "
-            f"当前立场情感: {stance}-{label}, "
-            f"变更: {value:+.5f}"
-        )
-
-        await person_info_manager.update_one_field(person_id, "relationship_value", old_value + value, data)
-
     async def calculate_update_relationship_value_with_reason(
         self, chat_stream: ChatStream, label: str, stance: str, reason: str
     ) -> tuple:
@@ -337,6 +255,14 @@ class RelationshipManager:
             relation_prompt = f"{relation_value_prompt}，ta在{platform}上的昵称是{nickname_str}。\n"
         else:
             relation_prompt = ""
+            
+        person_name_reason = await person_info_manager.get_value(person_id, "person_name_reason")
+        if person_name_reason:
+            relation_prompt += f"ta的昵称{person_name}的由来是：{person_name_reason}。\n"
+            
+        person_impression = await person_info_manager.get_value(person_id, "person_impression")
+        if person_impression:
+            relation_prompt += f"ta的印象是：{person_impression}。\n"
 
         return relation_prompt
 
@@ -358,17 +284,95 @@ class RelationshipManager:
         else:
             level_num = 5 if relationship_value > 1000 else 0
         return level_num
+    
+    
+    async def update_person_impression(self, person_id, chat_id, reason, timestamp):
+        """更新用户印象
+        
+        Args:
+            person_id: 用户ID
+            chat_id: 聊天ID
+            reason: 更新原因
+            timestamp: 时间戳
+        """
+        # 获取现有印象和用户信息
+        person_name = await person_info_manager.get_value(person_id, "person_name")
+        nickname = await person_info_manager.get_value(person_id, "nickname")
+        old_impression = await person_info_manager.get_value(person_id, "person_impression")
+        user_id = await person_info_manager.get_value(person_id, "user_id")
+        
+        logger.debug(f"更新印象的person_id: {person_id}, chat_id: {chat_id}, reason: {reason}, timestamp: {timestamp}, user_id: {user_id}")
 
-    @staticmethod
+        # 获取时间戳前后的消息
-    def ensure_float(value, person_id):
+        messages_before = get_raw_msg_by_timestamp_with_chat_users(
-        """确保返回浮点数，转换失败返回0.0"""
+            chat_id=chat_id,
-        if isinstance(value, float):
+            timestamp_start=timestamp - 3600,  # 前1小时
-            return value
+            timestamp_end=timestamp,
-        try:
+            person_ids=[user_id],
-            return float(value.to_decimal() if isinstance(value, Decimal128) else value)
+            limit=30,
-        except (ValueError, TypeError, AttributeError):
+            limit_mode="latest"
-            logger.warning(f"[关系管理] {person_id}值转换失败（原始值：{value}），已重置为0")
+        )
-            return 0.0
+        
+        messages_after = get_raw_msg_by_timestamp_with_chat_users(
+            chat_id=chat_id,
+            timestamp_start=timestamp,
+            timestamp_end=timestamp + 3600,  # 后1小时
+            person_ids=[user_id],
+            limit=30,
+            limit_mode="earliest"
+        )
+        
+        # 合并消息并按时间排序
+        user_messages = messages_before + messages_after
+        user_messages.sort(key=lambda x: x["time"])
+        
+        # print(f"user_messages: {user_messages}")
+        
+        # 构建可读消息
+        
+        readable_messages = await build_readable_messages(
+            messages=user_messages,
+            replace_bot_name=True,
+            timestamp_mode="relative",
+            truncate=False
+        )
+        
+        # 使用LLM总结印象
+        prompt = f"""基于以下信息，总结对{person_name}(昵称:{nickname})的印象：
+原因：{reason}
+历史印象：{old_impression if old_impression else '无'}
+最近发言：
+{readable_messages}
+
+请用简洁的语言总结对这个人的印象，不超过200字。"""
+        
+        new_impression, _ = await self.relationship_llm.generate_response_async(prompt=prompt)
+        
+        
+        logger.debug(f"新印象prompt：{prompt}")
+        logger.info(f"新印象：{new_impression}")
+        
+        
+        # 合并新旧印象
+        if old_impression:
+            merge_prompt = f"""请将以下两段印象合并，形成一段连贯的描述：
+旧印象：{old_impression}
+新印象：{new_impression}
+
+请用简洁的语言合并这两段印象，不超过200字。"""
+            final_impression, _ = await self.relationship_llm.generate_response_async(prompt=merge_prompt)
+            
+            logger.debug(f"合并印象prompt：{merge_prompt}")
+            logger.info(f"合并印象：{final_impression}")
+            
+        else:
+            final_impression = new_impression
+            
+            
+        # 更新到数据库
+        await person_info_manager.update_one_field(person_id, "person_impression", final_impression)
+        
+        return final_impression
 
 
 relationship_manager = RelationshipManager()