147 lines
6.3 KiB
Python
147 lines
6.3 KiB
Python
import traceback
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from typing import Dict, Any
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from src.common.logger_manager import get_logger
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from src.manager.mood_manager import mood_manager # 导入情绪管理器
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from src.chat.message_receive.chat_stream import chat_manager
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from src.chat.message_receive.message import MessageRecv
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from src.experimental.only_message_process import MessageProcessor
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from src.experimental.PFC.pfc_manager import PFCManager
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from src.chat.focus_chat.heartflow_message_processor import HeartFCMessageReceiver
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from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
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from src.config.config import global_config
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from src.chat.command.command_handler import command_manager # 导入命令管理器
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# 定义日志配置
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# 配置主程序日志格式
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logger = get_logger("chat")
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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 = mood_manager # 获取情绪管理器单例
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self.heartflow_message_receiver = HeartFCMessageReceiver() # 新增
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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.only_process_chat = MessageProcessor()
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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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if global_config.experimental.pfc_chatting:
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chat_id = str(message.chat_stream.stream_id)
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private_name = str(message.message_info.user_info.user_nickname)
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await self.pfc_manager.get_or_create_conversation(chat_id, private_name)
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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: Dict[str, Any]) -> None:
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"""处理转化后的统一格式消息
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这个函数本质是预处理一些数据，根据配置信息和消息内容，预处理消息，并分发到合适的消息处理器中
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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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- 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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if message_data["message_info"].get("group_info") is not None:
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message_data["message_info"]["group_info"]["group_id"] = str(
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message_data["message_info"]["group_info"]["group_id"]
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)
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message_data["message_info"]["user_info"]["user_id"] = str(
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message_data["message_info"]["user_info"]["user_id"]
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)
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# print(message_data)
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# logger.debug(str(message_data))
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message = MessageRecv(message_data)
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group_info = message.message_info.group_info
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user_info = message.message_info.user_info
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chat_manager.register_message(message)
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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=message.message_info.platform,
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user_info=user_info,
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group_info=group_info,
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)
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message.update_chat_stream(chat)
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# 处理消息内容，生成纯文本
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await message.process()
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# 命令处理 - 在消息处理的早期阶段检查并处理命令
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is_command, cmd_result, continue_process = await command_manager.process_command(message)
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# 如果是命令且不需要继续处理，则直接返回
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if is_command and not continue_process:
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logger.info(f"命令处理完成，跳过后续消息处理: {cmd_result}")
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return
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# 确认从接口发来的message是否有自定义的prompt模板信息
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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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logger.debug(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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logger.trace("开始预处理消息...")
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# 如果在私聊中
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if group_info is None:
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logger.trace("检测到私聊消息")
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if global_config.experimental.pfc_chatting:
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logger.trace("进入PFC私聊处理流程")
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# 创建聊天流
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logger.trace(f"为{user_info.user_id}创建/获取聊天流")
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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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# 禁止PFC，进入普通的心流消息处理逻辑
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else:
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logger.trace("进入普通心流私聊处理")
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await self.heartflow_message_receiver.process_message(message_data)
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# 群聊默认进入心流消息处理逻辑
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else:
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logger.trace(f"检测到群聊消息，群ID: {group_info.group_id}")
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await self.heartflow_message_receiver.process_message(message_data)
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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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