131 lines
5.8 KiB
Python
131 lines
5.8 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 import Conversation, ConversationState
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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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import asyncio
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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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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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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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# 获取或创建对话实例
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conversation = Conversation.get_instance(chat_id)
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# 如果是新创建的实例，启动对话系统
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if conversation.state == ConversationState.INIT:
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asyncio.create_task(conversation.start())
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logger.info(f"为聊天 {chat_id} 创建新的对话实例")
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except Exception as e:
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logger.error(f"创建PFC聊天流失败: {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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message = MessageRecv(message_data)
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groupinfo = message.message_info.group_info
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logger.debug(f"开始处理消息{message_data}")
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if global_config.enable_pfc_chatting:
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try:
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if groupinfo is None and 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{message_data}")
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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{message_data}")
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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 and 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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# 创建全局ChatBot实例
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chat_bot = ChatBot()
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