Merge branch 'debug' of https://github.com/SengokuCola/MaiMBot into debug

src/gui/reasoning_gui.py

@@ -7,7 +7,7 @@ from datetime import datetime
 from typing import Dict, List
 from loguru import logger
 from typing import Optional
-from ..common.database import db
+
 
 import customtkinter as ctk
 from dotenv import load_dotenv
@@ -16,6 +16,8 @@ from dotenv import load_dotenv
 current_dir = os.path.dirname(os.path.abspath(__file__))
 # 获取项目根目录
 root_dir = os.path.abspath(os.path.join(current_dir, '..', '..'))
+sys.path.insert(0, root_dir)
+from src.common.database import db
 
 # 加载环境变量
 if os.path.exists(os.path.join(root_dir, '.env.dev')):

src/plugins/chat/__init__.py

@@ -139,3 +139,12 @@ async def print_mood_task():
     """每30秒打印一次情绪状态"""
     mood_manager = MoodManager.get_instance()
     mood_manager.print_mood_status()
+
+
+@scheduler.scheduled_job("interval", seconds=7200, id="generate_schedule")
+async def generate_schedule_task():
+    """每2小时尝试生成一次日程"""
+    logger.debug("尝试生成日程")
+    await bot_schedule.initialize()
+    if not bot_schedule.enable_output:
+        bot_schedule.print_schedule()

src/plugins/chat/bot.py

@@ -231,6 +231,7 @@ 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)
 
@@ -261,6 +262,9 @@ 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

@@ -31,7 +31,7 @@ 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:
@@ -217,7 +217,7 @@ 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

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
@@ -78,36 +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},
-            {"$set": {"description": description, "timestamp": int(time.time())}},
-            upsert=True,
-        )
-
-    async def get_image_by_url(self, url: str) -> Optional[str]:
-        """根据URL获取图像路径(带查重)
-        Args:
-            url: 图像URL
-        Returns:
-            str: 本地文件路径,不存在返回None
-        """
         try:
-            # 先查找是否已存在
-            existing = db.images.find_one({"url": url})
-            if existing:
-                return existing["path"]
-
-            # 下载图像
-            async with aiohttp.ClientSession() as session:
-                async with session.get(url) as resp:
-                    if resp.status == 200:
-                        image_bytes = await resp.read()
-                        return await self.save_image(image_bytes, url=url)
-            return None
-
+            db.image_descriptions.update_one(
+                {"hash": image_hash, "type": description_type},
+                {
+                    "$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"获取图像失败: {str(e)}")
-            return None
+            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"""
@@ -129,7 +119,7 @@ class ImageManager:
 
             cached_description = self._get_description_from_db(image_hash, "emoji")
             if cached_description:
-                logger.warning(f"虽然生成了描述，但找到缓存表情包描述: {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
@@ -170,7 +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()
@@ -179,7 +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
@@ -187,12 +176,13 @@ class ImageManager:
                 "请用中文描述这张图片的内容。如果有文字，请把文字都描述出来。并尝试猜测这个图片的含义。最多200个字。"
             )
             description, _ = await self._llm.generate_response_for_image(prompt, image_base64, image_format)
-            cached_description = self._get_description_from_db(image_hash, "emoji")
+
+            cached_description = self._get_description_from_db(image_hash, "image")
             if cached_description:
-                logger.info(f"缓存图片描述: {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}]"
 
-            print(f"描述是{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/schedule/schedule_generator.py

@@ -14,7 +14,10 @@ from ..models.utils_model import LLM_request
 driver = get_driver()
 config = driver.config
 
+
 class ScheduleGenerator:
+    enable_output: bool = True
+
     def __init__(self):
         # 根据global_config.llm_normal这一字典配置指定模型
         # self.llm_scheduler = LLMModel(model = global_config.llm_normal,temperature=0.9)
@@ -32,14 +35,16 @@ class ScheduleGenerator:
         yesterday = datetime.datetime.now() - datetime.timedelta(days=1)
 
         self.today_schedule_text, self.today_schedule = await self.generate_daily_schedule(target_date=today)
-        self.tomorrow_schedule_text, self.tomorrow_schedule = await self.generate_daily_schedule(target_date=tomorrow,
-                                                                                                 read_only=True)
+        self.tomorrow_schedule_text, self.tomorrow_schedule = await self.generate_daily_schedule(
+            target_date=tomorrow, read_only=True
+        )
         self.yesterday_schedule_text, self.yesterday_schedule = await self.generate_daily_schedule(
-            target_date=yesterday, read_only=True)
-
-    async def generate_daily_schedule(self, target_date: datetime.datetime = None, read_only: bool = False) -> Dict[
-        str, str]:
+            target_date=yesterday, read_only=True
+        )
 
+    async def generate_daily_schedule(
+        self, target_date: datetime.datetime = None, read_only: bool = False
+    ) -> Dict[str, str]:
         date_str = target_date.strftime("%Y-%m-%d")
         weekday = target_date.strftime("%A")
 
@@ -47,28 +52,33 @@ class ScheduleGenerator:
 
         existing_schedule = db.schedule.find_one({"date": date_str})
         if existing_schedule:
-            logger.debug(f"{date_str}的日程已存在:")
+            if self.enable_output:
+                logger.debug(f"{date_str}的日程已存在:")
             schedule_text = existing_schedule["schedule"]
             # print(self.schedule_text)
 
         elif not read_only:
             logger.debug(f"{date_str}的日程不存在，准备生成新的日程。")
-            prompt = f"""我是{global_config.BOT_NICKNAME}，{global_config.PROMPT_SCHEDULE_GEN}，请为我生成{date_str}（{weekday}）的日程安排，包括：""" + \
-                     """
+            prompt = (
+                f"""我是{global_config.BOT_NICKNAME}，{global_config.PROMPT_SCHEDULE_GEN}，请为我生成{date_str}（{weekday}）的日程安排，包括："""
+                + """
             1. 早上的学习和工作安排
             2. 下午的活动和任务
             3. 晚上的计划和休息时间
             请按照时间顺序列出具体时间点和对应的活动，用一个时间点而不是时间段来表示时间，用JSON格式返回日程表，仅返回内容，不要返回注释，不要添加任何markdown或代码块样式，时间采用24小时制，格式为{"时间": "活动","时间": "活动",...}。"""
+            )
 
             try:
                 schedule_text, _ = await self.llm_scheduler.generate_response(prompt)
                 db.schedule.insert_one({"date": date_str, "schedule": schedule_text})
+                self.enable_output = True
             except Exception as e:
                 logger.error(f"生成日程失败: {str(e)}")
                 schedule_text = "生成日程时出错了"
             # print(self.schedule_text)
         else:
-            logger.debug(f"{date_str}的日程不存在。")
+            if self.enable_output:
+                logger.debug(f"{date_str}的日程不存在。")
             schedule_text = "忘了"
 
             return schedule_text, None
@@ -95,7 +105,7 @@ class ScheduleGenerator:
 
         # 找到最接近当前时间的任务
         closest_time = None
-        min_diff = float('inf')
+        min_diff = float("inf")
 
         # 检查今天的日程
         if not self.today_schedule:
@@ -148,6 +158,7 @@ class ScheduleGenerator:
             for time_str, activity in self.today_schedule.items():
                 logger.info(f"时间[{time_str}]: 活动[{activity}]")
             logger.info("==================")
+            self.enable_output = False
 
 
 # def main():