165 lines
7.5 KiB
Python
165 lines
7.5 KiB
Python
from ..moods.moods import MoodManager # 导入情绪管理器
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from ..config.config import global_config
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from .message import MessageRecv
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from ..PFC.pfc_manager import PFCManager
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from .chat_stream import chat_manager
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from ..chat_module.only_process.only_message_process import MessageProcessor
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from src.common.logger import get_module_logger, CHAT_STYLE_CONFIG, LogConfig
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from ..chat_module.think_flow_chat.think_flow_chat import ThinkFlowChat
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from ..chat_module.reasoning_chat.reasoning_chat import ReasoningChat
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from ..utils.prompt_builder import Prompt, global_prompt_manager
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import traceback
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# 定义日志配置
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chat_config = LogConfig(
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# 使用消息发送专用样式
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console_format=CHAT_STYLE_CONFIG["console_format"],
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file_format=CHAT_STYLE_CONFIG["file_format"],
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)
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# 配置主程序日志格式
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logger = get_module_logger("chat_bot", config=chat_config)
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class ChatBot:
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def __init__(self):
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self.bot = None # bot 实例引用
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self._started = False
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self.mood_manager = MoodManager.get_instance() # 获取情绪管理器单例
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self.mood_manager.start_mood_update() # 启动情绪更新
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self.think_flow_chat = ThinkFlowChat()
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self.reasoning_chat = ReasoningChat()
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self.only_process_chat = MessageProcessor()
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# 创建初始化PFC管理器的任务，会在_ensure_started时执行
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self.pfc_manager = PFCManager.get_instance()
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async def _ensure_started(self):
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"""确保所有任务已启动"""
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if not self._started:
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logger.trace("确保ChatBot所有任务已启动")
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self._started = True
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async def _create_PFC_chat(self, message: MessageRecv):
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try:
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chat_id = str(message.chat_stream.stream_id)
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if global_config.enable_pfc_chatting:
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await self.pfc_manager.get_or_create_conversation(chat_id)
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except Exception as e:
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logger.error(f"创建PFC聊天失败: {e}")
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async def message_process(self, message_data: str) -> None:
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"""处理转化后的统一格式消息
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根据global_config.response_mode选择不同的回复模式：
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1. heart_flow模式：使用思维流系统进行回复
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- 包含思维流状态管理
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- 在回复前进行观察和状态更新
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- 回复后更新思维流状态
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2. reasoning模式：使用推理系统进行回复
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- 直接使用意愿管理器计算回复概率
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- 没有思维流相关的状态管理
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- 更简单直接的回复逻辑
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3. pfc_chatting模式：仅进行消息处理
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- 不进行任何回复
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- 只处理和存储消息
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所有模式都包含：
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- 消息过滤
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- 记忆激活
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- 意愿计算
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- 消息生成和发送
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- 表情包处理
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- 性能计时
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"""
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try:
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# 确保所有任务已启动
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await self._ensure_started()
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message = MessageRecv(message_data)
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groupinfo = message.message_info.group_info
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userinfo = message.message_info.user_info
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logger.trace(f"处理消息:{str(message_data)[:120]}...")
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if userinfo.user_id in global_config.ban_user_id:
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logger.debug(f"用户{userinfo.user_id}被禁止回复")
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return
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if message.message_info.template_info and not message.message_info.template_info.template_default:
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template_group_name = message.message_info.template_info.template_name
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template_items = message.message_info.template_info.template_items
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async with global_prompt_manager.async_message_scope(template_group_name):
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if isinstance(template_items, dict):
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for k in template_items.keys():
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await Prompt.create_async(template_items[k], k)
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print(f"注册{template_items[k]},{k}")
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else:
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template_group_name = None
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async def preprocess():
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if global_config.enable_pfc_chatting:
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try:
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if groupinfo is None:
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if global_config.enable_friend_chat:
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userinfo = message.message_info.user_info
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messageinfo = message.message_info
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# 创建聊天流
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chat = await chat_manager.get_or_create_stream(
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platform=messageinfo.platform,
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user_info=userinfo,
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group_info=groupinfo,
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)
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message.update_chat_stream(chat)
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await self.only_process_chat.process_message(message)
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await self._create_PFC_chat(message)
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else:
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if groupinfo.group_id in global_config.talk_allowed_groups:
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# logger.debug(f"开始群聊模式{str(message_data)[:50]}...")
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if global_config.response_mode == "heart_flow":
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await self.think_flow_chat.process_message(message_data)
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elif global_config.response_mode == "reasoning":
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# logger.debug(f"开始推理模式{str(message_data)[:50]}...")
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await self.reasoning_chat.process_message(message_data)
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else:
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logger.error(f"未知的回复模式，请检查配置文件！！: {global_config.response_mode}")
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except Exception as e:
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logger.error(f"处理PFC消息失败: {e}")
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else:
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if groupinfo is None:
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if global_config.enable_friend_chat:
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# 私聊处理流程
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# await self._handle_private_chat(message)
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if global_config.response_mode == "heart_flow":
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await self.think_flow_chat.process_message(message_data)
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elif global_config.response_mode == "reasoning":
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await self.reasoning_chat.process_message(message_data)
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else:
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logger.error(f"未知的回复模式，请检查配置文件！！: {global_config.response_mode}")
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else: # 群聊处理
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if groupinfo.group_id in global_config.talk_allowed_groups:
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if global_config.response_mode == "heart_flow":
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await self.think_flow_chat.process_message(message_data)
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elif global_config.response_mode == "reasoning":
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await self.reasoning_chat.process_message(message_data)
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else:
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logger.error(f"未知的回复模式，请检查配置文件！！: {global_config.response_mode}")
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if template_group_name:
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async with global_prompt_manager.async_message_scope(template_group_name):
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await preprocess()
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else:
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await preprocess()
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except Exception as e:
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logger.error(f"预处理消息失败: {e}")
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traceback.print_exc()
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# 创建全局ChatBot实例
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chat_bot = ChatBot()
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