from src.config.config import global_config from src.chat.message_receive.message import MessageRecv, MessageSending, Message from src.common.database.database_model import Messages, ThinkingLog import time import traceback from typing import List import json class InfoCatcher: def __init__(self): self.chat_history = [] # 聊天历史，长度为三倍使用的上下文喵~ self.chat_history_in_thinking = [] # 思考期间的聊天内容喵~ self.chat_history_after_response = [] # 回复后的聊天内容，长度为一倍上下文喵~ self.chat_id = "" self.trigger_response_text = "" self.response_text = "" self.trigger_response_time = 0 self.trigger_response_message = None self.response_time = 0 self.response_messages = [] # 使用字典来存储 heartflow 模式的数据 self.heartflow_data = { "heart_flow_prompt": "", "sub_heartflow_before": "", "sub_heartflow_now": "", "sub_heartflow_after": "", "sub_heartflow_model": "", "prompt": "", "response": "", "model": "", } # 使用字典来存储 reasoning 模式的数据喵~ self.reasoning_data = {"thinking_log": "", "prompt": "", "response": "", "model": ""} # 耗时喵~ self.timing_results = { "interested_rate_time": 0, "sub_heartflow_observe_time": 0, "sub_heartflow_step_time": 0, "make_response_time": 0, } def catch_decide_to_response(self, message: MessageRecv): # 搜集决定回复时的信息 self.trigger_response_message = message self.trigger_response_text = message.detailed_plain_text self.trigger_response_time = time.time() self.chat_id = message.chat_stream.stream_id self.chat_history = self.get_message_from_db_before_msg(message) def catch_after_observe(self, obs_duration: float): # 这里可以有更多信息 self.timing_results["sub_heartflow_observe_time"] = obs_duration def catch_afer_shf_step(self, step_duration: float, past_mind: str, current_mind: str): self.timing_results["sub_heartflow_step_time"] = step_duration if len(past_mind) > 1: self.heartflow_data["sub_heartflow_before"] = past_mind[-1] self.heartflow_data["sub_heartflow_now"] = current_mind else: self.heartflow_data["sub_heartflow_before"] = past_mind[-1] self.heartflow_data["sub_heartflow_now"] = current_mind def catch_after_llm_generated(self, prompt: str, response: str, reasoning_content: str = "", model_name: str = ""): self.reasoning_data["thinking_log"] = reasoning_content self.reasoning_data["prompt"] = prompt self.reasoning_data["response"] = response self.reasoning_data["model"] = model_name self.response_text = response def catch_after_generate_response(self, response_duration: float): self.timing_results["make_response_time"] = response_duration def catch_after_response( self, response_duration: float, response_message: List[str], first_bot_msg: MessageSending ): self.timing_results["make_response_time"] = response_duration self.response_time = time.time() self.response_messages = [] for msg in response_message: self.response_messages.append(msg) self.chat_history_in_thinking = self.get_message_from_db_between_msgs( self.trigger_response_message, first_bot_msg ) @staticmethod def get_message_from_db_between_msgs(message_start: Message, message_end: Message): try: time_start = message_start.message_info.time time_end = message_end.message_info.time chat_id = message_start.chat_stream.stream_id print(f"查询参数: time_start={time_start}, time_end={time_end}, chat_id={chat_id}") messages_between_query = ( Messages.select() .where((Messages.chat_id == chat_id) & (Messages.time > time_start) & (Messages.time < time_end)) .order_by(Messages.time.desc()) ) result = list(messages_between_query) print(f"查询结果数量: {len(result)}") if result: print(f"第一条消息时间: {result[0].time}") print(f"最后一条消息时间: {result[-1].time}") return result except Exception as e: print(f"获取消息时出错: {str(e)}") print(traceback.format_exc()) return [] def get_message_from_db_before_msg(self, message: MessageRecv): message_id_val = message.message_info.message_id chat_id_val = message.chat_stream.stream_id messages_before_query = ( Messages.select() .where((Messages.chat_id == chat_id_val) & (Messages.message_id < message_id_val)) .order_by(Messages.time.desc()) .limit(global_config.focus_chat.observation_context_size * 3) ) return list(messages_before_query) def message_list_to_dict(self, message_list): result = [] for msg_item in message_list: processed_msg_item = msg_item if not isinstance(msg_item, dict): processed_msg_item = self.message_to_dict(msg_item) if not processed_msg_item: continue lite_message = { "time": processed_msg_item.get("time"), "user_nickname": processed_msg_item.get("user_nickname"), "processed_plain_text": processed_msg_item.get("processed_plain_text"), } result.append(lite_message) return result @staticmethod def message_to_dict(msg_obj): if not msg_obj: return None if isinstance(msg_obj, dict): return msg_obj if isinstance(msg_obj, Messages): return { "time": msg_obj.time, "user_id": msg_obj.user_id, "user_nickname": msg_obj.user_nickname, "processed_plain_text": msg_obj.processed_plain_text, } if hasattr(msg_obj, "message_info") and hasattr(msg_obj.message_info, "user_info"): return { "time": msg_obj.message_info.time, "user_id": msg_obj.message_info.user_info.user_id, "user_nickname": msg_obj.message_info.user_info.user_nickname, "processed_plain_text": msg_obj.processed_plain_text, } print(f"Warning: message_to_dict received an unhandled type: {type(msg_obj)}") return {} def done_catch(self): """将收集到的信息存储到数据库的 thinking_log 表中喵~""" try: trigger_info_dict = self.message_to_dict(self.trigger_response_message) response_info_dict = { "time": self.response_time, "message": self.response_messages, } chat_history_list = self.message_list_to_dict(self.chat_history) chat_history_in_thinking_list = self.message_list_to_dict(self.chat_history_in_thinking) chat_history_after_response_list = self.message_list_to_dict(self.chat_history_after_response) log_entry = ThinkingLog( chat_id=self.chat_id, trigger_text=self.trigger_response_text, response_text=self.response_text, trigger_info_json=json.dumps(trigger_info_dict) if trigger_info_dict else None, response_info_json=json.dumps(response_info_dict), timing_results_json=json.dumps(self.timing_results), chat_history_json=json.dumps(chat_history_list), chat_history_in_thinking_json=json.dumps(chat_history_in_thinking_list), chat_history_after_response_json=json.dumps(chat_history_after_response_list), heartflow_data_json=json.dumps(self.heartflow_data), reasoning_data_json=json.dumps(self.reasoning_data), ) log_entry.save() return True except Exception as e: print(f"存储思考日志时出错: {str(e)} 喵~") print(traceback.format_exc()) return False class InfoCatcherManager: def __init__(self): self.info_catchers = {} def get_info_catcher(self, thinking_id: str) -> InfoCatcher: if thinking_id not in self.info_catchers: self.info_catchers[thinking_id] = InfoCatcher() return self.info_catchers[thinking_id] info_catcher_manager = InfoCatcherManager()