Merge branch 'debug' of https://github.com/UnCLAS-Prommer/MaiMBot into debug

src/plugins/chat/__init__.py

@@ -3,8 +3,9 @@ import time
 import os
 
 from loguru import logger
-from nonebot import get_driver, on_message, require
-from nonebot.adapters.onebot.v11 import Bot, GroupMessageEvent, Message, MessageSegment, MessageEvent
+from nonebot import get_driver, on_message, on_notice, require
+from nonebot.rule import to_me
+from nonebot.adapters.onebot.v11 import Bot, GroupMessageEvent, Message, MessageSegment, MessageEvent, NoticeEvent
 from nonebot.typing import T_State
 
 from ..moods.moods import MoodManager  # 导入情绪管理器
@@ -39,6 +40,8 @@ logger.debug(f"正在唤醒{global_config.BOT_NICKNAME}......")
 chat_bot = ChatBot()
 # 注册消息处理器
 msg_in = on_message(priority=5)
+# 注册和bot相关的通知处理器
+notice_matcher = on_notice(priority=1)
 # 创建定时任务
 scheduler = require("nonebot_plugin_apscheduler").scheduler
 
@@ -95,6 +98,12 @@ async def _(bot: Bot, event: MessageEvent, state: T_State):
     await chat_bot.handle_message(event, bot)
 
 
+@notice_matcher.handle()
+async def _(bot: Bot, event: NoticeEvent, state: T_State):
+    logger.debug(f"收到通知：{event}")
+    await chat_bot.handle_notice(event, bot)
+
+
 # 添加build_memory定时任务
 @scheduler.scheduled_job("interval", seconds=global_config.build_memory_interval, id="build_memory")
 async def build_memory_task():

src/plugins/chat/bot.py

@@ -7,6 +7,8 @@ from nonebot.adapters.onebot.v11 import (
     GroupMessageEvent,
     MessageEvent,
     PrivateMessageEvent,
+    NoticeEvent,
+    PokeNotifyEvent,
 )
 
 from ..memory_system.memory import hippocampus
@@ -25,6 +27,7 @@ from .relationship_manager import relationship_manager
 from .storage import MessageStorage
 from .utils import calculate_typing_time, is_mentioned_bot_in_message
 from .utils_image import image_path_to_base64
+from .utils_user import get_user_nickname, get_user_cardname, get_groupname
 from .willing_manager import willing_manager  # 导入意愿管理器
 from .message_base import UserInfo, GroupInfo, Seg
 
@@ -46,6 +49,69 @@ class ChatBot:
         if not self._started:
             self._started = True
 
+    async def handle_notice(self, event: NoticeEvent, bot: Bot) -> None:
+        """处理收到的通知"""
+        # 戳一戳通知
+        if isinstance(event, PokeNotifyEvent):
+            # 用户屏蔽,不区分私聊/群聊
+            if event.user_id in global_config.ban_user_id:
+                return
+            reply_poke_probability = 1  # 回复戳一戳的概率
+
+            if random() < reply_poke_probability:
+                user_info = UserInfo(
+                    user_id=event.user_id,
+                    user_nickname=get_user_nickname(event.user_id) or None,
+                    user_cardname=get_user_cardname(event.user_id) or None,
+                    platform="qq",
+                )
+                group_info = GroupInfo(group_id=event.group_id, group_name=None, platform="qq")
+                message_cq = MessageRecvCQ(
+                    message_id=None,
+                    user_info=user_info,
+                    raw_message=str("[戳了戳]你"),
+                    group_info=group_info,
+                    reply_message=None,
+                    platform="qq",
+                )
+                message_json = message_cq.to_dict()
+
+                # 进入maimbot
+                message = MessageRecv(message_json)
+                groupinfo = message.message_info.group_info
+                userinfo = message.message_info.user_info
+                messageinfo = message.message_info
+
+                chat = await chat_manager.get_or_create_stream(
+                    platform=messageinfo.platform, user_info=userinfo, group_info=groupinfo
+                )
+                message.update_chat_stream(chat)
+                await message.process()
+
+                bot_user_info = UserInfo(
+                    user_id=global_config.BOT_QQ,
+                    user_nickname=global_config.BOT_NICKNAME,
+                    platform=messageinfo.platform,
+                )
+
+                response, raw_content = await self.gpt.generate_response(message)
+
+                if response:
+                    for msg in response:
+                        message_segment = Seg(type="text", data=msg)
+
+                        bot_message = MessageSending(
+                            message_id=None,
+                            chat_stream=chat,
+                            bot_user_info=bot_user_info,
+                            sender_info=userinfo,
+                            message_segment=message_segment,
+                            reply=None,
+                            is_head=False,
+                            is_emoji=False,
+                        )
+                        message_manager.add_message(bot_message)
+
     async def handle_message(self, event: MessageEvent, bot: Bot) -> None:
         """处理收到的消息"""
 
@@ -54,7 +120,10 @@ class ChatBot:
         # 用户屏蔽,不区分私聊/群聊
         if event.user_id in global_config.ban_user_id:
             return
-
+        
+        if event.reply and hasattr(event.reply, 'sender') and hasattr(event.reply.sender, 'user_id') and event.reply.sender.user_id in global_config.ban_user_id:
+            logger.debug(f"跳过处理回复来自被ban用户 {event.reply.sender.user_id} 的消息")
+            return
         # 处理私聊消息
         if isinstance(event, PrivateMessageEvent):
             if not global_config.enable_friend_chat:  # 私聊过滤
@@ -126,7 +195,7 @@ class ChatBot:
         for word in global_config.ban_words:
             if word in message.processed_plain_text:
                 logger.info(
-                    f"[{chat.group_info.group_name if chat.group_info.group_id else '私聊'}]{userinfo.user_nickname}:{message.processed_plain_text}"
+                    f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{message.processed_plain_text}"
                 )
                 logger.info(f"[过滤词识别]消息中含有{word}，filtered")
                 return
@@ -135,7 +204,7 @@ class ChatBot:
         for pattern in global_config.ban_msgs_regex:
             if re.search(pattern, message.raw_message):
                 logger.info(
-                    f"[{chat.group_info.group_name if chat.group_info.group_id else '私聊'}]{userinfo.user_nickname}:{message.raw_message}"
+                    f"[{chat.group_info.group_name if chat.group_info else '私聊'}]{userinfo.user_nickname}:{message.raw_message}"
                 )
                 logger.info(f"[正则表达式过滤]消息匹配到{pattern}，filtered")
                 return
@@ -143,7 +212,7 @@ class ChatBot:
         current_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(messageinfo.time))
 
         # topic=await topic_identifier.identify_topic_llm(message.processed_plain_text)
-        
+
         topic = ""
         interested_rate = await hippocampus.memory_activate_value(message.processed_plain_text) / 100
         logger.debug(f"对{message.processed_plain_text}的激活度:{interested_rate}")
@@ -159,11 +228,12 @@ class ChatBot:
             config=global_config,
             is_emoji=message.is_emoji,
             interested_rate=interested_rate,
+            sender_id=str(message.message_info.user_info.user_id),
         )
         current_willing = willing_manager.get_willing(chat_stream=chat)
 
         logger.info(
-            f"[{current_time}][{chat.group_info.group_name if chat.group_info.group_id else '私聊'}]{chat.user_info.user_nickname}:"
+            f"[{current_time}][{chat.group_info.group_name if chat.group_info else '私聊'}]{chat.user_info.user_nickname}:"
             f"{message.processed_plain_text}[回复意愿:{current_willing:.2f}][概率:{reply_probability * 100:.1f}%]"
         )
 
@@ -189,6 +259,9 @@ class ChatBot:
             willing_manager.change_reply_willing_sent(chat)
 
             response, raw_content = await self.gpt.generate_response(message)
+        else:
+            # 决定不回复时，也更新回复意愿
+            willing_manager.change_reply_willing_not_sent(chat)
 
         # print(f"response: {response}")
         if response:

src/plugins/chat/cq_code.py

@@ -86,9 +86,12 @@ class CQCode:
             else:
                 self.translated_segments = Seg(type="text", data="[图片]")
         elif self.type == "at":
-            user_nickname = get_user_nickname(self.params.get("qq", ""))
-            self.translated_segments = Seg(
-                type="text", data=f"[@{user_nickname or '某人'}]"
+            if self.params.get("qq") == "all":
+                self.translated_segments = Seg(type="text", data="@[全体成员]")
+            else:  
+                user_nickname = get_user_nickname(self.params.get("qq", ""))
+                self.translated_segments = Seg(
+                    type="text", data=f"[@{user_nickname or '某人'}]"
             )
         elif self.type == "reply":
             reply_segments = self.translate_reply()

src/plugins/chat/emoji_manager.py

@@ -25,7 +25,7 @@ image_manager = ImageManager()
 
 class EmojiManager:
     _instance = None
-    EMOJI_DIR = "data/emoji"  # 表情包存储目录
+    EMOJI_DIR = os.path.join("data", "emoji")  # 表情包存储目录
 
     def __new__(cls):
         if cls._instance is None:
@@ -211,7 +211,7 @@ class EmojiManager:
     async def scan_new_emojis(self):
         """扫描新的表情包"""
         try:
-            emoji_dir = "data/emoji"
+            emoji_dir = self.EMOJI_DIR
             os.makedirs(emoji_dir, exist_ok=True)
 
             # 获取所有支持的图片文件
@@ -232,7 +232,7 @@ class EmojiManager:
                 image_hash = hashlib.md5(image_bytes).hexdigest()
                 image_format = Image.open(io.BytesIO(image_bytes)).format.lower()
                 # 检查是否已经注册过
-                existing_emoji = db["emoji"].find_one({"filename": filename})
+                existing_emoji = db["emoji"].find_one({"hash": image_hash})
                 description = None
 
                 if existing_emoji:

src/plugins/chat/utils_image.py

@@ -44,18 +44,23 @@ class ImageManager:
         """确保images集合存在并创建索引"""
         if "images" not in db.list_collection_names():
             db.create_collection("images")
-            # 创建索引
-            db.images.create_index([("hash", 1)], unique=True)
-            db.images.create_index([("url", 1)])
-            db.images.create_index([("path", 1)])
+
+        # 删除旧索引
+        db.images.drop_indexes()
+        # 创建新的复合索引
+        db.images.create_index([("hash", 1), ("type", 1)], unique=True)
+        db.images.create_index([("url", 1)])
+        db.images.create_index([("path", 1)])
 
     def _ensure_description_collection(self):
         """确保image_descriptions集合存在并创建索引"""
         if "image_descriptions" not in db.list_collection_names():
             db.create_collection("image_descriptions")
-            # 创建索引
-            db.image_descriptions.create_index([("hash", 1)], unique=True)
-            db.image_descriptions.create_index([("type", 1)])
+
+        # 删除旧索引
+        db.image_descriptions.drop_indexes()
+        # 创建新的复合索引
+        db.image_descriptions.create_index([("hash", 1), ("type", 1)], unique=True)
 
     def _get_description_from_db(self, image_hash: str, description_type: str) -> Optional[str]:
         """从数据库获取图片描述
@@ -78,151 +83,21 @@ class ImageManager:
             description: 描述文本
             description_type: 描述类型 ('emoji' 或 'image')
         """
-        db.image_descriptions.update_one(
-            {"hash": image_hash, "type": description_type},
-            {"$set": {"description": description, "timestamp": int(time.time())}},
-            upsert=True,
-        )
-
-    async def save_image(
-        self, image_data: Union[str, bytes], url: str = None, description: str = None, is_base64: bool = False
-    ) -> Optional[str]:
-        """保存图像
-        Args:
-            image_data: 图像数据(base64字符串或字节)
-            url: 图像URL
-            description: 图像描述
-            is_base64: image_data是否为base64格式
-        Returns:
-            str: 保存后的文件路径,失败返回None
-        """
         try:
-            # 转换为字节格式
-            if is_base64:
-                if isinstance(image_data, str):
-                    image_bytes = base64.b64decode(image_data)
-                else:
-                    return None
-            else:
-                if isinstance(image_data, bytes):
-                    image_bytes = image_data
-                else:
-                    return None
-
-            # 计算哈希值
-            image_hash = hashlib.md5(image_bytes).hexdigest()
-            image_format = Image.open(io.BytesIO(image_bytes)).format.lower()
-
-            # 查重
-            existing = db.images.find_one({"hash": image_hash})
-            if existing:
-                return existing["path"]
-
-            # 生成文件名和路径
-            timestamp = int(time.time())
-            filename = f"{timestamp}_{image_hash[:8]}.{image_format}"
-            file_path = os.path.join(self.IMAGE_DIR, filename)
-
-            # 保存文件
-            with open(file_path, "wb") as f:
-                f.write(image_bytes)
-
-            # 保存到数据库
-            image_doc = {
-                "hash": image_hash,
-                "path": file_path,
-                "url": url,
-                "description": description,
-                "timestamp": timestamp,
-            }
-            db.images.insert_one(image_doc)
-
-            return file_path
-
+            db.image_descriptions.update_one(
+                {"hash": image_hash, "type": description_type},
+                {
+                    "$set": {
+                        "description": description,
+                        "timestamp": int(time.time()),
+                        "hash": image_hash,  # 确保hash字段存在
+                        "type": description_type,  # 确保type字段存在
+                    }
+                },
+                upsert=True,
+            )
         except Exception as e:
-            logger.error(f"保存图像失败: {str(e)}")
-            return None
-
-    async def get_image_by_url(self, url: str) -> Optional[str]:
-        """根据URL获取图像路径(带查重)
-        Args:
-            url: 图像URL
-        Returns:
-            str: 本地文件路径,不存在返回None
-        """
-        try:
-            # 先查找是否已存在
-            existing = db.images.find_one({"url": url})
-            if existing:
-                return existing["path"]
-
-            # 下载图像
-            async with aiohttp.ClientSession() as session:
-                async with session.get(url) as resp:
-                    if resp.status == 200:
-                        image_bytes = await resp.read()
-                        return await self.save_image(image_bytes, url=url)
-            return None
-
-        except Exception as e:
-            logger.error(f"获取图像失败: {str(e)}")
-            return None
-
-    async def get_base64_by_url(self, url: str) -> Optional[str]:
-        """根据URL获取base64(带查重)
-        Args:
-            url: 图像URL
-        Returns:
-            str: base64字符串,失败返回None
-        """
-        try:
-            image_path = await self.get_image_by_url(url)
-            if not image_path:
-                return None
-
-            with open(image_path, "rb") as f:
-                image_bytes = f.read()
-                return base64.b64encode(image_bytes).decode("utf-8")
-
-        except Exception as e:
-            logger.error(f"获取base64失败: {str(e)}")
-            return None
-
-    def check_url_exists(self, url: str) -> bool:
-        """检查URL是否已存在
-        Args:
-            url: 图像URL
-        Returns:
-            bool: 是否存在
-        """
-        return db.images.find_one({"url": url}) is not None
-
-    def check_hash_exists(self, image_data: Union[str, bytes], is_base64: bool = False) -> bool:
-        """检查图像是否已存在
-        Args:
-            image_data: 图像数据(base64或字节)
-            is_base64: 是否为base64格式
-        Returns:
-            bool: 是否存在
-        """
-        try:
-            if is_base64:
-                if isinstance(image_data, str):
-                    image_bytes = base64.b64decode(image_data)
-                else:
-                    return False
-            else:
-                if isinstance(image_data, bytes):
-                    image_bytes = image_data
-                else:
-                    return False
-
-            image_hash = hashlib.md5(image_bytes).hexdigest()
-            return db.images.find_one({"hash": image_hash}) is not None
-
-        except Exception as e:
-            logger.error(f"检查哈希失败: {str(e)}")
-            return False
+            logger.error(f"保存描述到数据库失败: {str(e)}")
 
     async def get_emoji_description(self, image_base64: str) -> str:
         """获取表情包描述，带查重和保存功能"""
@@ -242,6 +117,11 @@ class ImageManager:
             prompt = "这是一个表情包，使用中文简洁的描述一下表情包的内容和表情包所表达的情感"
             description, _ = await self._llm.generate_response_for_image(prompt, image_base64, image_format)
 
+            cached_description = self._get_description_from_db(image_hash, "emoji")
+            if cached_description:
+                logger.warning(f"虽然生成了描述，但是找到缓存表情包描述: {cached_description}")
+                return f"[表情包：{cached_description}]"
+
             # 根据配置决定是否保存图片
             if global_config.EMOJI_SAVE:
                 # 生成文件名和路径
@@ -280,7 +160,6 @@ class ImageManager:
     async def get_image_description(self, image_base64: str) -> str:
         """获取普通图片描述，带查重和保存功能"""
         try:
-            print("处理图片中")
             # 计算图片哈希
             image_bytes = base64.b64decode(image_base64)
             image_hash = hashlib.md5(image_bytes).hexdigest()
@@ -289,7 +168,7 @@ class ImageManager:
             # 查询缓存的描述
             cached_description = self._get_description_from_db(image_hash, "image")
             if cached_description:
-                print("图片描述缓存中")
+                logger.info(f"图片描述缓存中 {cached_description}")
                 return f"[图片：{cached_description}]"
 
             # 调用AI获取描述
@@ -298,7 +177,12 @@ class ImageManager:
             )
             description, _ = await self._llm.generate_response_for_image(prompt, image_base64, image_format)
 
-            print(f"描述是{description}")
+            cached_description = self._get_description_from_db(image_hash, "image")
+            if cached_description:
+                logger.warning(f"虽然生成了描述，但是找到缓存图片描述 {cached_description}")
+                return f"[图片：{cached_description}]"
+
+            logger.info(f"描述是{description}")
 
             if description is None:
                 logger.warning("AI未能生成图片描述")

src/plugins/chat/utils_user.py

@@ -5,14 +5,16 @@ from .relationship_manager import relationship_manager
 def get_user_nickname(user_id: int) -> str:
     if int(user_id) == int(global_config.BOT_QQ):
         return global_config.BOT_NICKNAME
-#     print(user_id)
+    #     print(user_id)
     return relationship_manager.get_name(user_id)
 
+
 def get_user_cardname(user_id: int) -> str:
     if int(user_id) == int(global_config.BOT_QQ):
         return global_config.BOT_NICKNAME
-#     print(user_id)
-    return ''
+    #     print(user_id)
+    return ""
+
 
 def get_groupname(group_id: int) -> str:
-    return f"群{group_id}"
+    return f"群{group_id}"

src/plugins/chat/willing_manager.py

@@ -1,109 +1,259 @@
 import asyncio
+import random
+import time
 from typing import Dict
+from loguru import logger
 
 
 from .config import global_config
 from .chat_stream import ChatStream
 
-from loguru import logger
-
 
 class WillingManager:
     def __init__(self):
         self.chat_reply_willing: Dict[str, float] = {}  # 存储每个聊天流的回复意愿
+        self.chat_high_willing_mode: Dict[str, bool] = {}  # 存储每个聊天流是否处于高回复意愿期
+        self.chat_msg_count: Dict[str, int] = {}  # 存储每个聊天流接收到的消息数量
+        self.chat_last_mode_change: Dict[str, float] = {}  # 存储每个聊天流上次模式切换的时间
+        self.chat_high_willing_duration: Dict[str, int] = {}  # 高意愿期持续时间(秒)
+        self.chat_low_willing_duration: Dict[str, int] = {}  # 低意愿期持续时间(秒)
+        self.chat_last_reply_time: Dict[str, float] = {}  # 存储每个聊天流上次回复的时间
+        self.chat_last_sender_id: Dict[str, str] = {}  # 存储每个聊天流上次回复的用户ID
+        self.chat_conversation_context: Dict[str, bool] = {}  # 标记是否处于对话上下文中
         self._decay_task = None
+        self._mode_switch_task = None
         self._started = False
-
+        
     async def _decay_reply_willing(self):
         """定期衰减回复意愿"""
         while True:
             await asyncio.sleep(5)
             for chat_id in self.chat_reply_willing:
-                self.chat_reply_willing[chat_id] = max(0, self.chat_reply_willing[chat_id] * 0.6)
-
+                is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
+                if is_high_mode:
+                    # 高回复意愿期内轻微衰减
+                    self.chat_reply_willing[chat_id] = max(0.5, self.chat_reply_willing[chat_id] * 0.95)
+                else:
+                    # 低回复意愿期内正常衰减
+                    self.chat_reply_willing[chat_id] = max(0, self.chat_reply_willing[chat_id] * 0.8)
+                
+    async def _mode_switch_check(self):
+        """定期检查是否需要切换回复意愿模式"""
+        while True:
+            current_time = time.time()
+            await asyncio.sleep(10)  # 每10秒检查一次
+            
+            for chat_id in self.chat_high_willing_mode:
+                last_change_time = self.chat_last_mode_change.get(chat_id, 0)
+                is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
+                
+                # 获取当前模式的持续时间
+                duration = 0
+                if is_high_mode:
+                    duration = self.chat_high_willing_duration.get(chat_id, 180)  # 默认3分钟
+                else:
+                    duration = self.chat_low_willing_duration.get(chat_id, random.randint(300, 1200))  # 默认5-20分钟
+                
+                # 检查是否需要切换模式
+                if current_time - last_change_time > duration:
+                    self._switch_willing_mode(chat_id)
+                elif not is_high_mode and random.random() < 0.1:
+                    # 低回复意愿期有10%概率随机切换到高回复期
+                    self._switch_willing_mode(chat_id)
+                
+                # 检查对话上下文状态是否需要重置
+                last_reply_time = self.chat_last_reply_time.get(chat_id, 0)
+                if current_time - last_reply_time > 300:  # 5分钟无交互，重置对话上下文
+                    self.chat_conversation_context[chat_id] = False
+    
+    def _switch_willing_mode(self, chat_id: str):
+        """切换聊天流的回复意愿模式"""
+        is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
+        
+        if is_high_mode:
+            # 从高回复期切换到低回复期
+            self.chat_high_willing_mode[chat_id] = False
+            self.chat_reply_willing[chat_id] = 0.1  # 设置为最低回复意愿
+            self.chat_low_willing_duration[chat_id] = random.randint(600, 1200)  # 10-20分钟
+            logger.debug(f"聊天流 {chat_id} 切换到低回复意愿期，持续 {self.chat_low_willing_duration[chat_id]} 秒")
+        else:
+            # 从低回复期切换到高回复期
+            self.chat_high_willing_mode[chat_id] = True
+            self.chat_reply_willing[chat_id] = 1.0  # 设置为较高回复意愿
+            self.chat_high_willing_duration[chat_id] = random.randint(180, 240)  # 3-4分钟
+            logger.debug(f"聊天流 {chat_id} 切换到高回复意愿期，持续 {self.chat_high_willing_duration[chat_id]} 秒")
+        
+        self.chat_last_mode_change[chat_id] = time.time()
+        self.chat_msg_count[chat_id] = 0  # 重置消息计数
+                
     def get_willing(self, chat_stream: ChatStream) -> float:
         """获取指定聊天流的回复意愿"""
         stream = chat_stream
         if stream:
             return self.chat_reply_willing.get(stream.stream_id, 0)
         return 0
-
+    
     def set_willing(self, chat_id: str, willing: float):
         """设置指定聊天流的回复意愿"""
         self.chat_reply_willing[chat_id] = willing
-
-    async def change_reply_willing_received(
-        self,
-        chat_stream: ChatStream,
-        topic: str = None,
-        is_mentioned_bot: bool = False,
-        config=None,
-        is_emoji: bool = False,
-        interested_rate: float = 0,
-    ) -> float:
+        
+    def _ensure_chat_initialized(self, chat_id: str):
+        """确保聊天流的所有数据已初始化"""
+        if chat_id not in self.chat_reply_willing:
+            self.chat_reply_willing[chat_id] = 0.1
+        
+        if chat_id not in self.chat_high_willing_mode:
+            self.chat_high_willing_mode[chat_id] = False
+            self.chat_last_mode_change[chat_id] = time.time()
+            self.chat_low_willing_duration[chat_id] = random.randint(300, 1200)  # 5-20分钟
+        
+        if chat_id not in self.chat_msg_count:
+            self.chat_msg_count[chat_id] = 0
+            
+        if chat_id not in self.chat_conversation_context:
+            self.chat_conversation_context[chat_id] = False
+        
+    async def change_reply_willing_received(self, 
+                                          chat_stream: ChatStream,
+                                          topic: str = None,
+                                          is_mentioned_bot: bool = False,
+                                          config = None,
+                                          is_emoji: bool = False,
+                                          interested_rate: float = 0,
+                                          sender_id: str = None) -> float:
         """改变指定聊天流的回复意愿并返回回复概率"""
         # 获取或创建聊天流
         stream = chat_stream
         chat_id = stream.stream_id
-
+        current_time = time.time()
+        
+        self._ensure_chat_initialized(chat_id)
+        
+        # 增加消息计数
+        self.chat_msg_count[chat_id] = self.chat_msg_count.get(chat_id, 0) + 1
+        
         current_willing = self.chat_reply_willing.get(chat_id, 0)
-
-        if is_mentioned_bot and current_willing < 1.0:
-            current_willing += 0.9
+        is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
+        msg_count = self.chat_msg_count.get(chat_id, 0)
+        in_conversation_context = self.chat_conversation_context.get(chat_id, False)
+        
+        # 检查是否是对话上下文中的追问
+        last_reply_time = self.chat_last_reply_time.get(chat_id, 0)
+        last_sender = self.chat_last_sender_id.get(chat_id, "")
+        is_follow_up_question = False
+        
+        # 如果是同一个人在短时间内（2分钟内）发送消息，且消息数量较少（<=5条），视为追问
+        if sender_id and sender_id == last_sender and current_time - last_reply_time < 120 and msg_count <= 5:
+            is_follow_up_question = True
+            in_conversation_context = True
+            self.chat_conversation_context[chat_id] = True
+            logger.debug(f"检测到追问 (同一用户), 提高回复意愿")
+            current_willing += 0.3
+        
+        # 特殊情况处理
+        if is_mentioned_bot:
+            current_willing += 0.5
+            in_conversation_context = True
+            self.chat_conversation_context[chat_id] = True
             logger.debug(f"被提及, 当前意愿: {current_willing}")
-        elif is_mentioned_bot:
-            current_willing += 0.05
-            logger.debug(f"被重复提及, 当前意愿: {current_willing}")
-
+        
         if is_emoji:
             current_willing *= 0.1
             logger.debug(f"表情包, 当前意愿: {current_willing}")
-
-        logger.debug(f"放大系数_interested_rate: {global_config.response_interested_rate_amplifier}")
-        interested_rate *= global_config.response_interested_rate_amplifier  # 放大回复兴趣度
-        if interested_rate > 0.4:
-            # print(f"兴趣度: {interested_rate}, 当前意愿: {current_willing}")
-            current_willing += interested_rate - 0.4
-
-        current_willing *= global_config.response_willing_amplifier  # 放大回复意愿
-        # print(f"放大系数_willing: {global_config.response_willing_amplifier}, 当前意愿: {current_willing}")
-
-        reply_probability = max((current_willing - 0.45) * 2, 0)
-
+        
+        # 根据话题兴趣度适当调整
+        if interested_rate > 0.5:
+            current_willing += (interested_rate - 0.5) * 0.5
+            
+        # 根据当前模式计算回复概率
+        base_probability = 0.0
+        
+        if in_conversation_context:
+            # 在对话上下文中，降低基础回复概率
+            base_probability = 0.5 if is_high_mode else 0.25
+            logger.debug(f"处于对话上下文中，基础回复概率: {base_probability}")
+        elif is_high_mode:
+            # 高回复周期：4-8句话有50%的概率会回复一次
+            base_probability = 0.50 if 4 <= msg_count <= 8 else 0.2
+        else:
+            # 低回复周期：需要最少15句才有30%的概率会回一句
+            base_probability = 0.30 if msg_count >= 15 else 0.03 * min(msg_count, 10)
+            
+        # 考虑回复意愿的影响
+        reply_probability = base_probability * current_willing
+        
         # 检查群组权限（如果是群聊）
-        if chat_stream.group_info:
+        if chat_stream.group_info and config:               
             if chat_stream.group_info.group_id in config.talk_frequency_down_groups:
                 reply_probability = reply_probability / global_config.down_frequency_rate
 
-        reply_probability = min(reply_probability, 1)
+        # 限制最大回复概率
+        reply_probability = min(reply_probability, 0.75)  # 设置最大回复概率为75%
         if reply_probability < 0:
             reply_probability = 0
-
+        
+        # 记录当前发送者ID以便后续追踪
+        if sender_id:
+            self.chat_last_sender_id[chat_id] = sender_id
+            
         self.chat_reply_willing[chat_id] = min(current_willing, 3.0)
         return reply_probability
-
+    
     def change_reply_willing_sent(self, chat_stream: ChatStream):
         """开始思考后降低聊天流的回复意愿"""
         stream = chat_stream
         if stream:
-            current_willing = self.chat_reply_willing.get(stream.stream_id, 0)
-            self.chat_reply_willing[stream.stream_id] = max(0, current_willing - 2)
-
-    def change_reply_willing_after_sent(self, chat_stream: ChatStream):
-        """发送消息后提高聊天流的回复意愿"""
+            chat_id = stream.stream_id
+            self._ensure_chat_initialized(chat_id)
+            is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
+            current_willing = self.chat_reply_willing.get(chat_id, 0)
+            
+            # 回复后减少回复意愿
+            self.chat_reply_willing[chat_id] = max(0, current_willing - 0.3)
+            
+            # 标记为对话上下文中
+            self.chat_conversation_context[chat_id] = True
+            
+            # 记录最后回复时间
+            self.chat_last_reply_time[chat_id] = time.time()
+            
+            # 重置消息计数
+            self.chat_msg_count[chat_id] = 0
+        
+    def change_reply_willing_not_sent(self, chat_stream: ChatStream):
+        """决定不回复后提高聊天流的回复意愿"""
         stream = chat_stream
         if stream:
-            current_willing = self.chat_reply_willing.get(stream.stream_id, 0)
-            if current_willing < 1:
-                self.chat_reply_willing[stream.stream_id] = min(1, current_willing + 0.2)
-
+            chat_id = stream.stream_id
+            self._ensure_chat_initialized(chat_id)
+            is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
+            current_willing = self.chat_reply_willing.get(chat_id, 0)
+            in_conversation_context = self.chat_conversation_context.get(chat_id, False)
+            
+            # 根据当前模式调整不回复后的意愿增加
+            if is_high_mode:
+                willing_increase = 0.1
+            elif in_conversation_context:
+                # 在对话上下文中但决定不回复，小幅增加回复意愿
+                willing_increase = 0.15
+            else:
+                willing_increase = random.uniform(0.05, 0.1)
+                
+            self.chat_reply_willing[chat_id] = min(2.0, current_willing + willing_increase)
+        
+    def change_reply_willing_after_sent(self, chat_stream: ChatStream):
+        """发送消息后提高聊天流的回复意愿"""
+        # 由于已经在sent中处理，这个方法保留但不再需要额外调整
+        pass
+        
     async def ensure_started(self):
-        """确保衰减任务已启动"""
+        """确保所有任务已启动"""
         if not self._started:
             if self._decay_task is None:
                 self._decay_task = asyncio.create_task(self._decay_reply_willing())
+            if self._mode_switch_task is None:
+                self._mode_switch_task = asyncio.create_task(self._mode_switch_check())
             self._started = True
 
-
 # 创建全局实例
-willing_manager = WillingManager()
+willing_manager = WillingManager() 

src/plugins/models/utils_model.py

@@ -132,7 +132,7 @@ class LLM_request:
         # 常见Error Code Mapping
         error_code_mapping = {
             400: "参数不正确",
-            401: "API key 错误，认证失败",
+            401: "API key 错误，认证失败，请检查/config/bot_config.toml和.env.prod中的配置是否正确哦~",
             402: "账号余额不足",
             403: "需要实名,或余额不足",
             404: "Not Found",