feat；新的情绪系统

changelogs/changelog.md

@@ -2,8 +2,18 @@
 
 ## [0.8.2] - 2025-7-5
 
+功能更新：
+
+- 新的情绪系统，麦麦现在拥有持续的情绪
+- 
+
 优化和修复：
 
+- 
+- 优化no_reply逻辑
+- 优化Log显示
+- 优化关系配置
+- 简化配置文件
 - 修复在auto模式下，私聊会转为normal的bug
 - 修复一般过滤次序问题
 - 优化normal_chat代码，采用和focus一致的关系构建
@@ -13,6 +23,7 @@
 - 合并action激活器
 - emoji统一可选随机激活或llm激活
 - 移除observation和processor，简化focus的代码逻辑
+- 修复图片与文字混合兴趣值为0的情况
 
 ## [0.8.1] - 2025-7-5
 

interested_rates.txt

@@ -44,3 +44,45 @@
 0.03203964454588806
 6.089034714923968
 0.027344556981661584
+6.0950644780757655
+1.0360527971483526
+0.02126634371149695
+6.100437294458919
+6.181947292804878
+6.108429840061738
+6.107935292179331
+6.099721599895046
+6.091382258706081
+6.747791924069589
+0.016360696384577725
+0.016360696384577725
+0.016360696384577725
+0.014013152602464482
+0.019318251776732617
+6.093511295222046
+0.019318251776732617
+0.019318251776732617
+0.019318251776732617
+6.093511295222046
+0.019318251776732617
+7.515984058229312
+1.6068256002855255
+6.093940362250887
+1.6170212888969302
+6.179882232137178
+6.179882232137178
+6.087979117713658
+6.089034714923968
+1.200467605219352
+6.0899272096484225
+6.091382258706081
+6.087979117713658
+6.089034714923968
+6.091382258706081
+6.087979117713658
+6.087979117713658
+1.7348177649966143
+6.093940362250887
+8.65717782684436
+8.65717782684436
+0.020373848987042205

src/config/official_configs.py

@@ -635,6 +635,9 @@ class ModelConfig(ConfigBase):
     memory: dict[str, Any] = field(default_factory=lambda: {})
     """记忆模型配置"""
     
+    emotion: dict[str, Any] = field(default_factory=lambda: {})
+    """情绪模型配置"""
+
     vlm: dict[str, Any] = field(default_factory=lambda: {})
     """视觉语言模型配置"""
 

src/main.py

@@ -16,6 +16,7 @@ from src.chat.message_receive.bot import chat_bot
 from src.common.logger import get_logger
 from src.individuality.individuality import get_individuality, Individuality
 from src.common.server import get_global_server, Server
+from src.mood.mood_manager import mood_manager
 from rich.traceback import install
 # from src.api.main import start_api_server
 
@@ -99,6 +100,10 @@ class MainSystem:
 
         logger.info("willing管理器初始化成功")
 
+        # 启动情绪管理器
+        await mood_manager.start()
+        logger.info("情绪管理器初始化成功")
+
         # 初始化聊天管理器
 
         await get_chat_manager()._initialize()

src/mood/mood_manager.py

@@ -1,5 +1,7 @@
 import math
 import random
+import time
+import asyncio
 
 from src.chat.message_receive.message import MessageRecv
 from src.llm_models.utils_model import LLMRequest
@@ -7,6 +9,7 @@ from ..common.logger import get_logger
 from src.chat.utils.chat_message_builder import build_readable_messages, get_raw_msg_by_timestamp_with_chat_inclusive
 from src.config.config import global_config
 from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
+from src.manager.async_task_manager import AsyncTask, async_task_manager
 logger = get_logger("mood")
 
 def init_prompt():
@@ -23,15 +26,29 @@ def init_prompt():
 """,
         "change_mood_prompt",
     )
+    Prompt(
+        """
+{chat_talking_prompt}
+以上是群里最近的聊天记录
+
+{indentify_block}
+你之前的情绪状态是：{mood_state}
+
+距离你上次关注群里消息已经过去了一段时间，你冷静了下来，请你输出一句话描述你现在的情绪状态
+请只输出情绪状态，不要输出其他内容：
+""",
+        "regress_mood_prompt",
+    )
 
 class ChatMood:
     def __init__(self,chat_id:str):
         self.chat_id:str = chat_id
         self.mood_state:str = "感觉很平静"
         
+        self.regression_count:int = 0
         
         self.mood_model = LLMRequest(
-            model=global_config.model.utils,
+            model=global_config.model.emotion,
             temperature=0.7,
             request_type="mood",
         )
@@ -39,6 +56,7 @@ class ChatMood:
         self.last_change_time = 0
         
     async def update_mood_by_message(self,message:MessageRecv,interested_rate:float):
+        self.regression_count = 0
         
         during_last_time = message.message_info.time - self.last_change_time
         
@@ -104,12 +122,94 @@ class ChatMood:
         
         self.last_change_time = message_time
         
+    async def regress_mood(self):
+        
+        message_time = time.time()
+        message_list_before_now = get_raw_msg_by_timestamp_with_chat_inclusive(
+            chat_id=self.chat_id,
+            timestamp_start=self.last_change_time,
+            timestamp_end=message_time,
+            limit=15,
+            limit_mode="last",
+        )
+        chat_talking_prompt = build_readable_messages(
+            message_list_before_now,
+            replace_bot_name=True,
+            merge_messages=False,
+            timestamp_mode="normal_no_YMD",
+            read_mark=0.0,
+            truncate=True,
+            show_actions=True,
+        )
+        
+        
+        bot_name = global_config.bot.nickname
+        if global_config.bot.alias_names:
+            bot_nickname = f",也有人叫你{','.join(global_config.bot.alias_names)}"
+        else:
+            bot_nickname = ""
+
+        prompt_personality = global_config.personality.personality_core
+        indentify_block = f"你的名字是{bot_name}{bot_nickname}，你{prompt_personality}："
+        
+        prompt = await global_prompt_manager.format_prompt(
+            "regress_mood_prompt",
+            chat_talking_prompt=chat_talking_prompt,
+            indentify_block=indentify_block,
+            mood_state=self.mood_state,
+        )
+        
+        logger.info(f"prompt: {prompt}")
+        response, (reasoning_content, model_name) = await self.mood_model.generate_response_async(prompt=prompt)
+        logger.info(f"response: {response}")
+        logger.info(f"reasoning_content: {reasoning_content}")
+        
+        
+        self.mood_state = response
+        
+        
+        self.regression_count += 1
+        
+class MoodRegressionTask(AsyncTask):
+    def __init__(self, mood_manager: 'MoodManager'):
+        super().__init__(task_name="MoodRegressionTask", run_interval=30)
+        self.mood_manager = mood_manager
+
+    async def run(self):
+        logger.debug("Running mood regression task...")
+        now = time.time()
+        for mood in self.mood_manager.mood_list:
+            
+            if mood.last_change_time == 0:
+                continue
+            
+            
+            if now - mood.last_change_time > 180:
+                
+                if mood.regression_count >= 3:
+                    continue
+                
+                
+                logger.info(f"chat {mood.chat_id} 开始情绪回归, 这是第 {mood.regression_count+1} 次")
+                await mood.regress_mood()
 
 class MoodManager:
 
     def __init__(self):
         self.mood_list:list[ChatMood] = []
         """当前情绪状态"""
+        self.task_started: bool = False
+
+    async def start(self):
+        """启动情绪回归后台任务"""
+        if self.task_started:
+            return
+        
+        logger.info("启动情绪回归任务...")
+        task = MoodRegressionTask(self)
+        await async_task_manager.add_task(task)
+        self.task_started = True
+        logger.info("情绪回归任务已启动")
 
     def get_mood_by_chat_id(self, chat_id:str) -> ChatMood:
         for mood in self.mood_list:
@@ -124,6 +224,7 @@ class MoodManager:
         for mood in self.mood_list:
             if mood.chat_id == chat_id:
                 mood.mood_state = "感觉很平静"
+                mood.regression_count = 0
                 return
         self.mood_list.append(ChatMood(chat_id))
 

template/bot_config_template.toml

@@ -282,6 +282,14 @@ pri_in = 2
 pri_out = 8
 temp = 0.3
 
+[model.emotion] #负责麦麦的情绪变化
+name = "Pro/deepseek-ai/DeepSeek-V3"
+provider = "SILICONFLOW"
+pri_in = 2
+pri_out = 8
+temp = 0.3
+
+
 [model.memory] # 记忆模型
 name = "Qwen/Qwen3-30B-A3B"
 provider = "SILICONFLOW"