Merge branch 'main-fix' of https://github.com/SengokuCola/MaiMBot into prompt-update

# Conflicts:
#	src/plugins/chat/prompt_builder.py

.gitignore

@@ -16,6 +16,7 @@ memory_graph.gml
 .env.*
 config/bot_config_dev.toml
 config/bot_config.toml
+src/plugins/remote/client_uuid.json
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]

run-WebUI.bat

@@ -0,0 +1,4 @@
+CHCP 65001
+@echo off
+python webui.py
+pause

run.sh

@@ -97,8 +97,8 @@ check_python() {
 # 5/6: 选择分支
 choose_branch() {
     BRANCH=$(whiptail --title "🔀 [5/6] 选择 Maimbot 分支" --menu "请选择要安装的 Maimbot 分支：" 15 60 2 \
-        "main" "稳定版本（推荐）" \
+        "main" "稳定版本（推荐，供下载使用）" \
-        "debug" "开发版本（可能不稳定）" 3>&1 1>&2 2>&3)
+        "main-fix" "生产环境紧急修复" 3>&1 1>&2 2>&3)
 
     if [[ -z "$BRANCH" ]]; then
         BRANCH="main"
@@ -201,6 +201,8 @@ install_napcat() {
 }
 
 # 运行安装步骤
+whiptail --title "⚠️ 警告：安装前详阅" --msgbox "项目处于活跃开发阶段，代码可能随时更改\n文档未完善，有问题可以提交 Issue 或者 Discussion\nQQ机器人存在被限制风险，请自行了解，谨慎使用\n由于持续迭代，可能存在一些已知或未知的bug\n由于开发中，可能消耗较多token\n\n本脚本可能更新不及时，如遇到bug请优先尝试手动部署以确定是否为脚本问题" 14 60
+
 check_system
 check_mongodb
 check_napcat
@@ -233,7 +235,7 @@ fi
 
 if [[ "$IS_INSTALL_NAPCAT" == "true" ]]; then
     echo -e "${GREEN}安装 NapCat...${RESET}"
-    curl -o napcat.sh https://nclatest.znin.net/NapNeko/NapCat-Installer/main/script/install.sh && bash napcat.sh
+    curl -o napcat.sh https://nclatest.znin.net/NapNeko/NapCat-Installer/main/script/install.sh && bash napcat.sh --cli y --docker n
 fi
 
 echo -e "${GREEN}创建 Python 虚拟环境...${RESET}"

src/plugins/chat/__init__.py

@@ -15,7 +15,7 @@ from .bot import chat_bot
 from .config import global_config
 from .emoji_manager import emoji_manager
 from .relationship_manager import relationship_manager
-from .willing_manager import willing_manager
+from ..willing.willing_manager import willing_manager
 from .chat_stream import chat_manager
 from ..memory_system.memory import hippocampus, memory_graph
 from .bot import ChatBot

src/plugins/chat/bot.py

@@ -29,7 +29,7 @@ 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 ..willing.willing_manager import willing_manager  # 导入意愿管理器
 from .message_base import UserInfo, GroupInfo, Seg
 from ..utils.logger_config import LogClassification, LogModule
 
@@ -55,112 +55,18 @@ class ChatBot:
         if not self._started:
             self._started = True
 
-    async def handle_notice(self, event: NoticeEvent, bot: Bot) -> None:
+    async def message_process(self, message_cq: MessageRecvCQ) -> None:
-        """处理收到的通知"""
+        """处理转化后的统一格式消息
-        # 戳一戳通知
+        1. 过滤消息
-        if isinstance(event, PokeNotifyEvent):
+        2. 记忆激活
-            # 不处理其他人的戳戳
+        3. 意愿激活
-            if not event.is_tome():
+        4. 生成回复并发送
-                return
+        5. 更新关系
-
+        6. 更新情绪
-            # 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 = 1.0  # 回复戳一戳的概率，如果要改可以在这里改，暂不提取到配置文件
-
-            if random() < reply_poke_probability:
-                raw_message = "[戳了戳]你"  # 默认类型
-                if info := event.raw_info:
-                    poke_type = info[2].get("txt", "戳了戳")  # 戳戳类型，例如“拍一拍”、“揉一揉”、“捏一捏”
-                    custom_poke_message = info[4].get("txt", "")  # 自定义戳戳消息，若不存在会为空字符串
-                    raw_message = f"[{poke_type}]你{custom_poke_message}"
-
-                raw_message += "（这是一个类似摸摸头的友善行为，而不是恶意行为，请不要作出攻击发言）"
-                await self.directly_reply(raw_message, event.user_id, event.group_id)
-
-        if isinstance(event, GroupRecallNoticeEvent) or isinstance(event, FriendRecallNoticeEvent):
-            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")
-
-            chat = await chat_manager.get_or_create_stream(
-                platform=user_info.platform, user_info=user_info, group_info=group_info
-            )
-
-            await self.storage.store_recalled_message(event.message_id, time.time(), chat)
-
-    async def handle_message(self, event: MessageEvent, bot: Bot) -> None:
-        """处理收到的消息"""
-
-        self.bot = bot  # 更新 bot 实例
-
-        # 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
-                return
-            else:
-                try:
-                    user_info = UserInfo(
-                        user_id=event.user_id,
-                        user_nickname=(await bot.get_stranger_info(user_id=event.user_id, no_cache=True))["nickname"],
-                        user_cardname=None,
-                        platform="qq",
-                    )
-                except Exception as e:
-                    logger.error(f"获取陌生人信息失败: {e}")
-                    return
-                logger.debug(user_info)
-
-                # group_info = GroupInfo(group_id=0, group_name="私聊", platform="qq")
-                group_info = None
-
-        # 处理群聊消息
-        else:
-            # 白名单设定由nontbot侧完成
-            if event.group_id:
-                if event.group_id not in global_config.talk_allowed_groups:
-                    return
-
-            user_info = UserInfo(
-                user_id=event.user_id,
-                user_nickname=event.sender.nickname,
-                user_cardname=event.sender.card or None,
-                platform="qq",
-            )
-
-            group_info = GroupInfo(group_id=event.group_id, group_name=None, platform="qq")
-
-        # group_info = await bot.get_group_info(group_id=event.group_id)
-        # sender_info = await bot.get_group_member_info(group_id=event.group_id, user_id=event.user_id, no_cache=True)
-
-        message_cq = MessageRecvCQ(
-            message_id=event.message_id,
-            user_info=user_info,
-            raw_message=str(event.original_message),
-            group_info=group_info,
-            reply_message=event.reply,
-            platform="qq",
-        )
         await message_cq.initialize()
         message_json = message_cq.to_dict()
+        # 哦我嘞个json
 
         # 进入maimbot
         message = MessageRecv(message_json)
@@ -170,16 +76,20 @@ class ChatBot:
 
         # 消息过滤，涉及到config有待更新
 
+        # 创建聊天流
         chat = await chat_manager.get_or_create_stream(
-            platform=messageinfo.platform, user_info=userinfo, group_info=groupinfo
+            platform=messageinfo.platform, user_info=userinfo, group_info=groupinfo #我嘞个gourp_info
         )
         message.update_chat_stream(chat)
         await relationship_manager.update_relationship(
             chat_stream=chat,
         )
-        await relationship_manager.update_relationship_value(chat_stream=chat, relationship_value=0.5)
+        await relationship_manager.update_relationship_value(
+            chat_stream=chat, relationship_value=0.5
+        )
 
         await message.process()
+        
         # 过滤词
         for word in global_config.ban_words:
             if word in message.processed_plain_text:
@@ -198,12 +108,15 @@ class ChatBot:
                 logger.info(f"[正则表达式过滤]消息匹配到{pattern}，filtered")
                 return
 
-        current_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(messageinfo.time))
+        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)
+        )
 
+        #根据话题计算激活度
         topic = ""
-        interested_rate = await hippocampus.memory_activate_value(message.processed_plain_text) / 100
+        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}")
         # logger.info(f"\033[1;32m[主题识别]\033[0m 使用{global_config.topic_extract}主题: {topic}")
 
@@ -212,7 +125,6 @@ class ChatBot:
         is_mentioned = is_mentioned_bot_in_message(message)
         reply_probability = await willing_manager.change_reply_willing_received(
             chat_stream=chat,
-            topic=topic[0] if topic else None,
             is_mentioned_bot=is_mentioned,
             config=global_config,
             is_emoji=message.is_emoji,
@@ -260,7 +172,10 @@ class ChatBot:
             # 找到message,删除
             # print(f"开始找思考消息")
             for msg in container.messages:
-                if isinstance(msg, MessageThinking) and msg.message_info.message_id == think_id:
+                if (
+                    isinstance(msg, MessageThinking)
+                    and msg.message_info.message_id == think_id
+                ):
                     # print(f"找到思考消息: {msg}")
                     thinking_message = msg
                     container.messages.remove(msg)
@@ -354,79 +269,168 @@ class ChatBot:
                 chat_stream=chat, relationship_value=valuedict[emotion[0]]
             )
             # 使用情绪管理器更新情绪
-            self.mood_manager.update_mood_from_emotion(emotion[0], global_config.mood_intensity_factor)
+            self.mood_manager.update_mood_from_emotion(
+                emotion[0], global_config.mood_intensity_factor
+            )
 
             # willing_manager.change_reply_willing_after_sent(
             #     chat_stream=chat
             # )
 
-    async def directly_reply(self, raw_message: str, user_id: int, group_id: int):
+    async def handle_notice(self, event: NoticeEvent, bot: Bot) -> None:
-        """
+        """处理收到的通知"""
-        直接回复发来的消息，不经过意愿管理器
+        if isinstance(event, PokeNotifyEvent):
-        """
+            # 戳一戳 通知
+            # 不处理其他人的戳戳
+            if not event.is_tome():
+                return
 
-        # 构造用户信息和群组信息
+            # 用户屏蔽,不区分私聊/群聊
-        user_info = UserInfo(
+            if event.user_id in global_config.ban_user_id:
-            user_id=user_id,
+                return
-            user_nickname=get_user_nickname(user_id) or None,
+
-            user_cardname=get_user_cardname(user_id) or None,
+            # 白名单模式
-            platform="qq",
+            if event.group_id:
-        )
+                if event.group_id not in global_config.talk_allowed_groups:
-        group_info = GroupInfo(group_id=group_id, group_name=None, platform="qq")
+                    return
+
+            raw_message = f"[戳了戳]{global_config.BOT_NICKNAME}"  # 默认类型
+            if info := event.raw_info:
+                poke_type = info[2].get(
+                    "txt", "戳了戳"
+                )  # 戳戳类型，例如“拍一拍”、“揉一揉”、“捏一捏”
+                custom_poke_message = info[4].get(
+                    "txt", ""
+                )  # 自定义戳戳消息，若不存在会为空字符串
+                raw_message = (
+                    f"[{poke_type}]{global_config.BOT_NICKNAME}{custom_poke_message}"
+                )
+
+                raw_message += "（这是一个类似摸摸头的友善行为，而不是恶意行为，请不要作出攻击发言）"
+
+            user_info = UserInfo(
+                user_id=event.user_id,
+                user_nickname=(
+                    await bot.get_stranger_info(user_id=event.user_id, no_cache=True)
+                )["nickname"],
+                user_cardname=None,
+                platform="qq",
+            )
+
+            if event.group_id:
+                group_info = GroupInfo(
+                    group_id=event.group_id, group_name=None, platform="qq"
+                )
+            else:
+                group_info = None
+
+            message_cq = MessageRecvCQ(
+                message_id=0,
+                user_info=user_info,
+                raw_message=str(raw_message),
+                group_info=group_info,
+                reply_message=None,
+                platform="qq",
+            )
+
+            await self.message_process(message_cq)
+            
+        elif isinstance(event, GroupRecallNoticeEvent) or isinstance(
+            event, FriendRecallNoticeEvent
+        ):
+            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"
+            )
+
+            chat = await chat_manager.get_or_create_stream(
+                platform=user_info.platform, user_info=user_info, group_info=group_info
+            )
+
+            await self.storage.store_recalled_message(
+                event.message_id, time.time(), chat
+            )
+
+    async def handle_message(self, event: MessageEvent, bot: Bot) -> None:
+        """处理收到的消息"""
+
+        self.bot = bot  # 更新 bot 实例
+
+        # 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
+                return
+            else:
+                try:
+                    user_info = UserInfo(
+                        user_id=event.user_id,
+                        user_nickname=(
+                            await bot.get_stranger_info(
+                                user_id=event.user_id, no_cache=True
+                            )
+                        )["nickname"],
+                        user_cardname=None,
+                        platform="qq",
+                    )
+                except Exception as e:
+                    logger.error(f"获取陌生人信息失败: {e}")
+                    return
+                logger.debug(user_info)
+
+                # group_info = GroupInfo(group_id=0, group_name="私聊", platform="qq")
+                group_info = None
+
+        # 处理群聊消息
+        else:
+            # 白名单设定由nontbot侧完成
+            if event.group_id:
+                if event.group_id not in global_config.talk_allowed_groups:
+                    return
+
+            user_info = UserInfo(
+                user_id=event.user_id,
+                user_nickname=event.sender.nickname,
+                user_cardname=event.sender.card or None,
+                platform="qq",
+            )
+
+            group_info = GroupInfo(
+                group_id=event.group_id, group_name=None, platform="qq"
+            )
+
+        # group_info = await bot.get_group_info(group_id=event.group_id)
+        # sender_info = await bot.get_group_member_info(group_id=event.group_id, user_id=event.user_id, no_cache=True)
 
         message_cq = MessageRecvCQ(
-            message_id=None,
+            message_id=event.message_id,
             user_info=user_info,
-            raw_message=raw_message,
+            raw_message=str(event.original_message),
             group_info=group_info,
-            reply_message=None,
+            reply_message=event.reply,
             platform="qq",
         )
-        await message_cq.initialize()
-        message_json = message_cq.to_dict()
-
-        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,
-        )
-
-        current_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(messageinfo.time))
-        logger.info(
-            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}"
-        )
-
-        # 使用大模型生成回复
-        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)
 
+        await self.message_process(message_cq)
 
 # 创建全局ChatBot实例
 chat_bot = ChatBot()

src/plugins/chat/config.py

@@ -73,6 +73,8 @@ class BotConfig:
     mood_update_interval: float = 1.0  # 情绪更新间隔 单位秒
     mood_decay_rate: float = 0.95  # 情绪衰减率
     mood_intensity_factor: float = 0.7  # 情绪强度因子
+    
+    willing_mode: str = "classical"  # 意愿模式
 
     keywords_reaction_rules = []  # 关键词回复规则
 
@@ -212,6 +214,10 @@ class BotConfig:
                 "model_r1_distill_probability", config.MODEL_R1_DISTILL_PROBABILITY
             )
             config.max_response_length = response_config.get("max_response_length", config.max_response_length)
+            
+        def willing(parent: dict):
+            willing_config = parent["willing"]
+            config.willing_mode = willing_config.get("willing_mode", config.willing_mode)
 
         def model(parent: dict):
             # 加载模型配置
@@ -353,6 +359,7 @@ class BotConfig:
             "cq_code": {"func": cq_code, "support": ">=0.0.0"},
             "bot": {"func": bot, "support": ">=0.0.0"},
             "response": {"func": response, "support": ">=0.0.0"},
+            "willing": {"func": willing, "support": ">=0.0.9", "necessary": False},
             "model": {"func": model, "support": ">=0.0.0"},
             "message": {"func": message, "support": ">=0.0.0"},
             "memory": {"func": memory, "support": ">=0.0.0", "necessary": False},

src/plugins/chat/message.py

@@ -160,7 +160,7 @@ class MessageRecv(Message):
         user_info = self.message_info.user_info
         name = (
             f"{user_info.user_nickname}(ta的昵称:{user_info.user_cardname},ta的id:{user_info.user_id})"
-            if user_info.user_cardname != ""
+            if user_info.user_cardname != None
             else f"{user_info.user_nickname}(ta的id:{user_info.user_id})"
         )
         return f"[{time_str}] {name}: {self.processed_plain_text}\n"
@@ -256,7 +256,7 @@ class MessageProcessBase(Message):
         user_info = self.message_info.user_info
         name = (
             f"{user_info.user_nickname}(ta的昵称:{user_info.user_cardname},ta的id:{user_info.user_id})"
-            if user_info.user_cardname != ""
+            if user_info.user_cardname != None
             else f"{user_info.user_nickname}(ta的id:{user_info.user_id})"
         )
         return f"[{time_str}] {name}: {self.processed_plain_text}\n"

src/plugins/chat/prompt_builder.py

@@ -1,7 +1,6 @@
 import random
 import time
 from typing import Optional
-from loguru import logger
 
 from ...common.database import db
 from ..memory_system.memory import hippocampus, memory_graph
@@ -11,6 +10,13 @@ from .config import global_config
 from .utils import get_embedding, get_recent_group_detailed_plain_text
 from .chat_stream import chat_manager
 
+from ..utils.logger_config import LogClassification, LogModule
+
+log_module = LogModule()
+logger = log_module.setup_logger(LogClassification.PBUILDER)
+
+logger.info("初始化Prompt系统")
+
 
 class PromptBuilder:
     def __init__(self):
@@ -185,18 +191,17 @@ class PromptBuilder:
 `</MainRule>`"""
 
         """读空气prompt处理"""
-        # activate_prompt_check = f"以上是群里正在进行的聊天，昵称为 '{sender_name}' 的用户说的:{message_txt}。引起了你的注意,你和他{relation_prompt}，你想要{relation_prompt_2}，但是这不一定是合适的时机，请你决定是否要回应这条消息。"
+        activate_prompt_check = f"以上是群里正在进行的聊天，昵称为 '{sender_name}' 的用户说的:{message_txt}。引起了你的注意,你和他{relation_prompt}，你想要{relation_prompt_2}，但是这不一定是合适的时机，请你决定是否要回应这条消息。"
-        # prompt_personality_check = ""
+        prompt_personality_check = ""
-        # extra_check_info = f"请注意把握群里的聊天内容的基础上，综合群内的氛围，例如，和{global_config.BOT_NICKNAME}相关的话题要积极回复,如果是at自己的消息一定要回复，如果自己正在和别人聊天一定要回复，其他话题如果合适搭话也可以回复，如果认为应该回复请输出yes，否则输出no，请注意是决定是否需要回复，而不是编写回复内容，除了yes和no不要输出任何回复内容。"
+        extra_check_info = f"请注意把握群里的聊天内容的基础上，综合群内的氛围，例如，和{global_config.BOT_NICKNAME}相关的话题要积极回复,如果是at自己的消息一定要回复，如果自己正在和别人聊天一定要回复，其他话题如果合适搭话也可以回复，如果认为应该回复请输出yes，否则输出no，请注意是决定是否需要回复，而不是编写回复内容，除了yes和no不要输出任何回复内容。"
-        # if personality_choice < probability_1:  # 第一种人格
+        if personality_choice < probability_1:  # 第一种人格
-        #     prompt_personality_check = f"""你的网名叫{global_config.BOT_NICKNAME}，{personality[0]}, 你正在浏览qq群，{promt_info_prompt} {activate_prompt_check} {extra_check_info}"""
+            prompt_personality_check = f"""你的网名叫{global_config.BOT_NICKNAME}，{personality[0]}, 你正在浏览qq群，{promt_info_prompt} {activate_prompt_check} {extra_check_info}"""
-        # elif personality_choice < probability_1 + probability_2:  # 第二种人格
+        elif personality_choice < probability_1 + probability_2:  # 第二种人格
-        #     prompt_personality_check = f"""你的网名叫{global_config.BOT_NICKNAME}，{personality[1]}, 你正在浏览qq群，{promt_info_prompt} {activate_prompt_check} {extra_check_info}"""
+            prompt_personality_check = f"""你的网名叫{global_config.BOT_NICKNAME}，{personality[1]}, 你正在浏览qq群，{promt_info_prompt} {activate_prompt_check} {extra_check_info}"""
-        # else:  # 第三种人格
+        else:  # 第三种人格
-        #     prompt_personality_check = f"""你的网名叫{global_config.BOT_NICKNAME}，{personality[2]}, 你正在浏览qq群，{promt_info_prompt} {activate_prompt_check} {extra_check_info}"""
+            prompt_personality_check = f"""你的网名叫{global_config.BOT_NICKNAME}，{personality[2]}, 你正在浏览qq群，{promt_info_prompt} {activate_prompt_check} {extra_check_info}"""
-        #
+
-        # prompt_check_if_response = f"{prompt_info}\n{prompt_date}\n{chat_talking_prompt}\n{prompt_personality_check}"
+        prompt_check_if_response = f"{prompt_info}\n{prompt_date}\n{chat_talking_prompt}\n{prompt_personality_check}"
-        prompt_check_if_response = ""
 
         return prompt, prompt_check_if_response
 
@@ -250,7 +255,7 @@ class PromptBuilder:
         return prompt_for_check, memory
 
     def _build_initiative_prompt(self, selected_node, prompt_regular, memory):
-        prompt_for_initiative = f"{prompt_regular}你现在想在群里发言，回忆了一下，想到一个话题,是{selected_node['concept']}，关于这个话题的记忆有\n{memory}\n，请在把握群里的聊天内容的基础上，综合群内的氛围，以日常且口语化的口吻，简短且随意一点进行发言，不要说的太有条理，可以有个性。记住不要输出多余内容(包括前后缀，冒号和引号，括号，表情等)"
+        prompt_for_initiative = f"{prompt_regular}你现在想在群里发言，回忆了一下，想到一个话题,是{selected_node['concept']}，关于这个话题的记忆有\n{memory}\n，请在把握群里的聊天内容的基础上，综合群内的氛围，以日常且口语化的口吻，简短且随意一点进行发言，不要说的太有条理，可以有个性。记住不要输出多余内容(包括前后缀，冒号和引号，括号，表情,@等)"
         return prompt_for_initiative
 
     async def get_prompt_info(self, message: str, threshold: float):

src/plugins/chat/thinking_idea.py

@@ -1,14 +0,0 @@
-#Broca's Area
-# 功能：语言产生、语法处理和言语运动控制。
-# 损伤后果：布洛卡失语症（表达困难，但理解保留）。
-
-import time
-
-
-class Thinking_Idea:
-    def __init__(self, message_id: str):
-        self.messages = []  # 消息列表集合
-        self.current_thoughts = []  # 当前思考内容列表
-        self.time = time.time()  # 创建时间
-        self.id = str(int(time.time() * 1000))  # 使用时间戳生成唯一标识ID
-        

src/plugins/models/utils_model.py

@@ -530,6 +530,9 @@ class LLM_request:
             list: embedding向量，如果失败则返回None
         """
 
+        if(len(text) < 1):
+            logger.debug("该消息没有长度，不再发送获取embedding向量的请求")
+            return None
         def embedding_handler(result):
             """处理响应"""
             if "data" in result and len(result["data"]) > 0:

src/plugins/remote/__init__.py

@@ -0,0 +1,5 @@
+import asyncio
+from .remote import main
+
+# 启动心跳线程
+heartbeat_thread = main()

src/plugins/remote/remote.py

@@ -0,0 +1,102 @@
+import requests
+import time
+import uuid
+import platform
+import os
+import json
+import threading
+from loguru import logger
+
+# UUID文件路径
+UUID_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), "client_uuid.json")
+
+# 生成或获取客户端唯一ID
+def get_unique_id():
+    # 检查是否已经有保存的UUID
+    if os.path.exists(UUID_FILE):
+        try:
+            with open(UUID_FILE, "r") as f:
+                data = json.load(f)
+                if "client_id" in data:
+                    print("从本地文件读取客户端ID")
+                    return data["client_id"]
+        except (json.JSONDecodeError, IOError) as e:
+            print(f"读取UUID文件出错: {e}，将生成新的UUID")
+
+    # 如果没有保存的UUID或读取出错，则生成新的
+    client_id = generate_unique_id()
+
+    # 保存UUID到文件
+    try:
+        with open(UUID_FILE, "w") as f:
+            json.dump({"client_id": client_id}, f)
+        print("已保存新生成的客户端ID到本地文件")
+    except IOError as e:
+        print(f"保存UUID时出错: {e}")
+
+    return client_id
+
+# 生成客户端唯一ID
+def generate_unique_id():
+    # 结合主机名、系统信息和随机UUID生成唯一ID
+    system_info = platform.system()
+    unique_id = f"{system_info}-{uuid.uuid4()}"
+    return unique_id
+
+def send_heartbeat(server_url, client_id):
+    """向服务器发送心跳"""
+    sys = platform.system()
+    try:
+        headers = {"Client-ID": client_id, "User-Agent": f"HeartbeatClient/{client_id[:8]}"}
+        data = json.dumps({"system": sys})
+        response = requests.post(f"{server_url}/api/clients", headers=headers, data=data)
+
+        if response.status_code == 201:
+            data = response.json()
+            logger.debug(f"心跳发送成功。服务器响应: {data}")
+            return True
+        else:
+            logger.debug(f"心跳发送失败。状态码: {response.status_code}")
+            return False
+
+    except requests.RequestException as e:
+        logger.debug(f"发送心跳时出错: {e}")
+        return False
+
+class HeartbeatThread(threading.Thread):
+    """心跳线程类"""
+    
+    def __init__(self, server_url, interval):
+        super().__init__(daemon=True)  # 设置为守护线程，主程序结束时自动结束
+        self.server_url = server_url
+        self.interval = interval
+        self.client_id = get_unique_id()
+        self.running = True
+        
+    def run(self):
+        """线程运行函数"""
+        logger.debug(f"心跳线程已启动，客户端ID: {self.client_id}")
+        
+        while self.running:
+            if send_heartbeat(self.server_url, self.client_id):
+                logger.info(f"{self.interval}秒后发送下一次心跳...")
+            else:
+                logger.info(f"{self.interval}秒后重试...")
+            
+            time.sleep(self.interval)  # 使用同步的睡眠
+    
+    def stop(self):
+        """停止线程"""
+        self.running = False
+
+def main():
+    """主函数，启动心跳线程"""
+    # 配置
+    SERVER_URL = "http://hyybuth.xyz:10058"
+    HEARTBEAT_INTERVAL = 300  # 5分钟（秒）
+    
+    # 创建并启动心跳线程
+    heartbeat_thread = HeartbeatThread(SERVER_URL, HEARTBEAT_INTERVAL)
+    heartbeat_thread.start()
+    
+    return heartbeat_thread  # 返回线程对象，便于外部控制

src/plugins/utils/logger_config.py

@@ -7,6 +7,7 @@ class LogClassification(Enum):
     MEMORY = "memory"
     EMOJI = "emoji"
     CHAT = "chat"
+    PBUILDER = "promptbuilder"
 
 class LogModule:
     logger = loguru.logger.opt()
@@ -32,6 +33,10 @@ class LogModule:
         
         # 表情包系统日志格式
         emoji_format = "<green>{time:HH:mm}</green> | <level>{level: <8}</level> | <yellow>表情包</yellow> | <cyan>{function}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>"
+        
+        promptbuilder_format = "<green>{time:HH:mm}</green> | <level>{level: <8}</level> | <yellow>Prompt</yellow> | <cyan>{function}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>"
+        
+        
         # 根据日志类型选择日志格式和输出
         if log_type == LogClassification.CHAT:
             self.logger.add(
@@ -39,6 +44,12 @@ class LogModule:
                 format=chat_format,
                 # level="INFO"
             )
+        elif log_type == LogClassification.PBUILDER:
+            self.logger.add(
+                sys.stderr,
+                format=promptbuilder_format,
+                # level="INFO"
+            )
         elif log_type == LogClassification.MEMORY:
             
             # 同时输出到控制台和文件

src/plugins/willing/mode_classical.py

@@ -0,0 +1,98 @@
+import asyncio
+from typing import Dict
+from ..chat.chat_stream import ChatStream
+
+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._decay_task = None
+        self._started = False
+        
+    async def _decay_reply_willing(self):
+        """定期衰减回复意愿"""
+        while True:
+            await asyncio.sleep(1)
+            for chat_id in self.chat_reply_willing:
+                self.chat_reply_willing[chat_id] = max(0, self.chat_reply_willing[chat_id] * 0.9)
+                
+    def get_willing(self, chat_stream: ChatStream) -> float:
+        """获取指定聊天流的回复意愿"""
+        if chat_stream:
+            return self.chat_reply_willing.get(chat_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,
+                                          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"""
+        chat_id = chat_stream.stream_id
+        current_willing = self.chat_reply_willing.get(chat_id, 0)
+
+        interested_rate = interested_rate * config.response_interested_rate_amplifier
+
+        if interested_rate > 0.5:
+            current_willing += (interested_rate - 0.5) 
+            
+        if is_mentioned_bot and current_willing < 1.0:
+            current_willing += 1
+        elif is_mentioned_bot:
+            current_willing += 0.05
+        
+        if is_emoji:
+            current_willing *= 0.2
+        
+        self.chat_reply_willing[chat_id] = min(current_willing, 3.0)
+        
+        
+        reply_probability = min(max((current_willing - 0.5),0.03)* config.response_willing_amplifier * 2,1)
+
+        # 检查群组权限（如果是群聊）
+        if chat_stream.group_info and config:
+            if chat_stream.group_info.group_id not in config.talk_allowed_groups:
+                current_willing = 0
+                reply_probability = 0
+                
+            if chat_stream.group_info.group_id in config.talk_frequency_down_groups:
+                reply_probability = reply_probability / 3.5
+            
+        return reply_probability
+    
+    def change_reply_willing_sent(self, chat_stream: ChatStream):
+        """发送消息后降低聊天流的回复意愿"""
+        if chat_stream:
+            chat_id = chat_stream.stream_id
+            current_willing = self.chat_reply_willing.get(chat_id, 0)
+            self.chat_reply_willing[chat_id] = max(0, current_willing - 1.8)
+    
+    def change_reply_willing_not_sent(self, chat_stream: ChatStream):
+        """未发送消息后降低聊天流的回复意愿"""
+        if chat_stream:
+            chat_id = chat_stream.stream_id
+            current_willing = self.chat_reply_willing.get(chat_id, 0)
+            self.chat_reply_willing[chat_id] = max(0, current_willing - 0)
+        
+    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"""
+        if chat_stream:
+            chat_id = chat_stream.stream_id
+            current_willing = self.chat_reply_willing.get(chat_id, 0)
+            if current_willing < 1:
+                self.chat_reply_willing[chat_id] = min(1, current_willing + 0.4)
+        
+    async def ensure_started(self):
+        """确保衰减任务已启动"""
+        if not self._started:
+            if self._decay_task is None:
+                self._decay_task = asyncio.create_task(self._decay_reply_willing())
+            self._started = True
+
+# 创建全局实例
+willing_manager = WillingManager() 

src/plugins/willing/mode_custom.py

@@ -0,0 +1,102 @@
+import asyncio
+from typing import Dict
+from ..chat.chat_stream import ChatStream
+
+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._decay_task = None
+        self._started = False
+        
+    async def _decay_reply_willing(self):
+        """定期衰减回复意愿"""
+        while True:
+            await asyncio.sleep(3)
+            for chat_id in self.chat_reply_willing:
+                # 每分钟衰减10%的回复意愿
+                self.chat_reply_willing[chat_id] = max(0, self.chat_reply_willing[chat_id] * 0.6)
+                
+    def get_willing(self, chat_stream: ChatStream) -> float:
+        """获取指定聊天流的回复意愿"""
+        if chat_stream:
+            return self.chat_reply_willing.get(chat_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,
+                                          sender_id: str = None) -> float:
+        """改变指定聊天流的回复意愿并返回回复概率"""
+        chat_id = chat_stream.stream_id
+        current_willing = self.chat_reply_willing.get(chat_id, 0)
+        
+        if topic and current_willing < 1:
+            current_willing += 0.2
+        elif topic:
+            current_willing += 0.05
+            
+        if is_mentioned_bot and current_willing < 1.0:
+            current_willing += 0.9
+        elif is_mentioned_bot:
+            current_willing += 0.05
+        
+        if is_emoji:
+            current_willing *= 0.2
+        
+        self.chat_reply_willing[chat_id] = min(current_willing, 3.0)
+        
+        reply_probability = (current_willing - 0.5) * 2
+
+        # 检查群组权限（如果是群聊）
+        if chat_stream.group_info and config:
+            if chat_stream.group_info.group_id not in config.talk_allowed_groups:
+                current_willing = 0
+                reply_probability = 0
+                
+            if chat_stream.group_info.group_id in config.talk_frequency_down_groups:
+                reply_probability = reply_probability / 3.5
+                
+            if is_mentioned_bot and sender_id == "1026294844":
+                reply_probability = 1
+            
+        return reply_probability
+    
+    def change_reply_willing_sent(self, chat_stream: ChatStream):
+        """发送消息后降低聊天流的回复意愿"""
+        if chat_stream:
+            chat_id = chat_stream.stream_id
+            current_willing = self.chat_reply_willing.get(chat_id, 0)
+            self.chat_reply_willing[chat_id] = max(0, current_willing - 1.8)
+    
+    def change_reply_willing_not_sent(self, chat_stream: ChatStream):
+        """未发送消息后降低聊天流的回复意愿"""
+        if chat_stream:
+            chat_id = chat_stream.stream_id
+            current_willing = self.chat_reply_willing.get(chat_id, 0)
+            self.chat_reply_willing[chat_id] = max(0, current_willing - 0)
+        
+    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"""
+        if chat_stream:
+            chat_id = chat_stream.stream_id
+            current_willing = self.chat_reply_willing.get(chat_id, 0)
+            if current_willing < 1:
+                self.chat_reply_willing[chat_id] = min(1, current_willing + 0.4)
+        
+    async def ensure_started(self):
+        """确保衰减任务已启动"""
+        if not self._started:
+            if self._decay_task is None:
+                self._decay_task = asyncio.create_task(self._decay_reply_willing())
+            self._started = True
+
+# 创建全局实例
+willing_manager = WillingManager() 

src/plugins/willing/mode_dynamic.py

@@ -5,9 +5,8 @@ from typing import Dict
 from loguru import logger
 
 
-from .config import global_config
+from ..chat.config import global_config
-from .chat_stream import ChatStream
+from ..chat.chat_stream import ChatStream
-
 
 class WillingManager:
     def __init__(self):

src/plugins/willing/willing_manager.py

@@ -0,0 +1,32 @@
+from typing import Optional
+from loguru import logger
+
+from ..chat.config import global_config
+from .mode_classical import WillingManager as ClassicalWillingManager
+from .mode_dynamic import WillingManager as DynamicWillingManager
+from .mode_custom import WillingManager as CustomWillingManager
+
+def init_willing_manager() -> Optional[object]:
+    """
+    根据配置初始化并返回对应的WillingManager实例
+    
+    Returns:
+        对应mode的WillingManager实例
+    """
+    mode = global_config.willing_mode.lower()
+    
+    if mode == "classical":
+        logger.info("使用经典回复意愿管理器")
+        return ClassicalWillingManager()
+    elif mode == "dynamic":
+        logger.info("使用动态回复意愿管理器") 
+        return DynamicWillingManager()
+    elif mode == "custom":
+        logger.warning(f"自定义的回复意愿管理器模式: {mode}")
+        return CustomWillingManager()
+    else:
+        logger.warning(f"未知的回复意愿管理器模式: {mode}, 将使用经典模式")
+        return ClassicalWillingManager()
+
+# 全局willing_manager对象
+willing_manager = init_willing_manager()

template/bot_config_template.toml

@@ -1,6 +1,7 @@
 [inner]
-version = "0.0.8"
+version = "0.0.9"
 
+#以下是给开发人员阅读的，一般用户不需要阅读
 #如果你想要修改配置文件，请在修改后将version的值进行变更
 #如果新增项目，请在BotConfig类下新增相应的变量
 #1.如果你修改的是[]层级项目，例如你新增了 [memory],那么请在config.py的 load_config函数中的include_configs字典中新增"内容":{
@@ -19,14 +20,14 @@ alias_names = ["小麦", "阿麦"]
 
 [personality]
 prompt_personality = [
-        "曾经是一个学习地质的女大学生，现在学习心理学和脑科学，你会刷贴吧",    # 贴吧人格 
+        "用一句话或几句话描述性格特点和其他特征",    
-        "是一个女大学生，你有黑色头发，你会刷小红书",    # 小红书人格
+        "用一句话或几句话描述性格特点和其他特征",    
-        "是一个女大学生，你会刷b站，对ACG文化感兴趣"    # b站人格
+        "例如，是一个热爱国家热爱党的新时代好青年"    
     ]
 personality_1_probability = 0.6 # 第一种人格出现概率
 personality_2_probability = 0.3 # 第二种人格出现概率
 personality_3_probability = 0.1 # 第三种人格出现概率，请确保三个概率相加等于1
-prompt_schedule = "一个曾经学习地质,现在学习心理学和脑科学的女大学生，喜欢刷qq，贴吧，知乎和小红书"
+prompt_schedule = "用一句话或几句话描述描述性格特点和其他特征"
 
 [message]
 min_text_length = 2 # 与麦麦聊天时麦麦只会回答文本大于等于此数的消息
@@ -64,11 +65,16 @@ model_v3_probability = 0.1 # 麦麦回答时选择次要回复模型2 模型的
 model_r1_distill_probability = 0.1 # 麦麦回答时选择次要回复模型3 模型的概率
 max_response_length = 1024 # 麦麦回答的最大token数
 
+[willing]
+willing_mode = "classical"
+# willing_mode = "dynamic"
+# willing_mode = "custom"
+
 [memory]
-build_memory_interval = 600 # 记忆构建间隔 单位秒   间隔越低，麦麦学习越多，但是冗余信息也会增多
+build_memory_interval = 2000 # 记忆构建间隔 单位秒   间隔越低，麦麦学习越多，但是冗余信息也会增多
 memory_compress_rate = 0.1 # 记忆压缩率 控制记忆精简程度 建议保持默认,调高可以获得更多信息，但是冗余信息也会增多
 
-forget_memory_interval = 600 # 记忆遗忘间隔 单位秒   间隔越低，麦麦遗忘越频繁，记忆更精简，但更难学习
+forget_memory_interval = 1000 # 记忆遗忘间隔 单位秒   间隔越低，麦麦遗忘越频繁，记忆更精简，但更难学习
 memory_forget_time = 24 #多长时间后的记忆会被遗忘 单位小时 
 memory_forget_percentage = 0.01 # 记忆遗忘比例 控制记忆遗忘程度 越大遗忘越多 建议保持默认
 
@@ -116,6 +122,9 @@ talk_allowed = [
 talk_frequency_down = []  #降低回复频率的群
 ban_user_id = []  #禁止回复消息的QQ号
 
+[remote] #测试功能，发送统计信息，主要是看全球有多少只麦麦
+enable = false #默认关闭
+
 
 #V3
 #name = "deepseek-chat"
@@ -178,8 +187,6 @@ pri_out = 0
 name = "Pro/Qwen/Qwen2-VL-7B-Instruct"
 provider = "SILICONFLOW"
 
-
-
 #嵌入模型
 
 [model.embedding] #嵌入