mirror of https://github.com/Mai-with-u/MaiBot.git
184 lines
7.5 KiB
Python
184 lines
7.5 KiB
Python
from datetime import datetime
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from src.config.config import global_config
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from src.chat.utils.chat_message_builder import (
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get_raw_msg_before_timestamp_with_chat,
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build_readable_messages,
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get_raw_msg_by_timestamp_with_chat,
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num_new_messages_since,
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get_person_id_list,
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)
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from src.chat.utils.prompt_builder import global_prompt_manager, Prompt
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from src.chat.focus_chat.observation.observation import Observation
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from src.common.logger import get_logger
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from src.chat.utils.utils import get_chat_type_and_target_info
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logger = get_logger("observation")
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# 定义提示模板
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Prompt(
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"""这是{chat_type_description}，请总结以下聊天记录的主题：
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{chat_logs}
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请概括这段聊天记录的主题和主要内容
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主题：简短的概括，包括时间，人物和事件，不要超过20个字
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内容：具体的信息内容，包括人物、事件和信息，不要超过200个字，不要分点。
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请用json格式返回，格式如下：
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{{
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"theme": "主题，例如 2025-06-14 10:00:00 群聊 麦麦 和 网友 讨论了 游戏 的话题",
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"content": "内容，可以是对聊天记录的概括，也可以是聊天记录的详细内容"
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}}
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""",
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"chat_summary_prompt",
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)
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class ChattingObservation(Observation):
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def __init__(self, chat_id):
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super().__init__(chat_id)
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self.chat_id = chat_id
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self.platform = "qq"
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self.is_group_chat, self.chat_target_info = get_chat_type_and_target_info(self.chat_id)
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self.talking_message = []
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self.talking_message_str = ""
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self.talking_message_str_truncate = ""
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self.talking_message_str_short = ""
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self.talking_message_str_truncate_short = ""
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self.name = global_config.bot.nickname
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self.nick_name = global_config.bot.alias_names
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self.max_now_obs_len = global_config.chat.max_context_size
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self.overlap_len = global_config.focus_chat.compressed_length
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self.person_list = []
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self.compressor_prompt = ""
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self.oldest_messages = []
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self.oldest_messages_str = ""
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self.last_observe_time = datetime.now().timestamp()
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initial_messages = get_raw_msg_before_timestamp_with_chat(self.chat_id, self.last_observe_time, 10)
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initial_messages_short = get_raw_msg_before_timestamp_with_chat(self.chat_id, self.last_observe_time, 5)
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self.last_observe_time = initial_messages[-1]["time"] if initial_messages else self.last_observe_time
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self.talking_message = initial_messages
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self.talking_message_short = initial_messages_short
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self.talking_message_str = build_readable_messages(self.talking_message, show_actions=True)
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self.talking_message_str_truncate = build_readable_messages(
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self.talking_message, show_actions=True, truncate=True
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)
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self.talking_message_str_short = build_readable_messages(self.talking_message_short, show_actions=True)
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self.talking_message_str_truncate_short = build_readable_messages(
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self.talking_message_short, show_actions=True, truncate=True
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)
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def to_dict(self) -> dict:
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"""将观察对象转换为可序列化的字典"""
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return {
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"chat_id": self.chat_id,
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"platform": self.platform,
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"is_group_chat": self.is_group_chat,
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"chat_target_info": self.chat_target_info,
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"talking_message_str": self.talking_message_str,
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"talking_message_str_truncate": self.talking_message_str_truncate,
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"talking_message_str_short": self.talking_message_str_short,
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"talking_message_str_truncate_short": self.talking_message_str_truncate_short,
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"name": self.name,
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"nick_name": self.nick_name,
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"last_observe_time": self.last_observe_time,
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}
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def get_observe_info(self, ids=None):
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return self.talking_message_str
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async def observe(self):
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# 自上一次观察的新消息
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new_messages_list = get_raw_msg_by_timestamp_with_chat(
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chat_id=self.chat_id,
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timestamp_start=self.last_observe_time,
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timestamp_end=datetime.now().timestamp(),
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limit=self.max_now_obs_len,
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limit_mode="latest",
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)
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# print(f"new_messages_list: {new_messages_list}")
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last_obs_time_mark = self.last_observe_time
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if new_messages_list:
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self.last_observe_time = new_messages_list[-1]["time"]
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self.talking_message.extend(new_messages_list)
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if len(self.talking_message) > self.max_now_obs_len:
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# 计算需要移除的消息数量，保留最新的 max_now_obs_len 条
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messages_to_remove_count = len(self.talking_message) - self.max_now_obs_len
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oldest_messages = self.talking_message[:messages_to_remove_count]
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self.talking_message = self.talking_message[messages_to_remove_count:]
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# 构建压缩提示
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oldest_messages_str = build_readable_messages(
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messages=oldest_messages, timestamp_mode="normal_no_YMD", read_mark=0, show_actions=True
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)
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# 根据聊天类型选择提示模板
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prompt_template_name = "chat_summary_prompt"
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if self.is_group_chat:
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chat_type_description = "qq群聊的聊天记录"
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else:
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chat_target_name = "对方"
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if self.chat_target_info:
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chat_target_name = (
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self.chat_target_info.get("person_name")
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or self.chat_target_info.get("user_nickname")
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or chat_target_name
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)
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chat_type_description = f"你和{chat_target_name}的私聊记录"
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prompt = await global_prompt_manager.format_prompt(
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prompt_template_name,
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chat_type_description=chat_type_description,
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chat_logs=oldest_messages_str,
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)
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self.compressor_prompt = prompt
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# 构建当前消息
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self.talking_message_str = build_readable_messages(
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messages=self.talking_message,
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timestamp_mode="lite",
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read_mark=last_obs_time_mark,
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show_actions=True,
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)
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self.talking_message_str_truncate = build_readable_messages(
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messages=self.talking_message,
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timestamp_mode="normal_no_YMD",
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read_mark=last_obs_time_mark,
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truncate=True,
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show_actions=True,
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)
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# 构建简短版本 - 使用最新一半的消息
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half_count = len(self.talking_message) // 2
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recent_messages = self.talking_message[-half_count:] if half_count > 0 else self.talking_message
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self.talking_message_str_short = build_readable_messages(
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messages=recent_messages,
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timestamp_mode="lite",
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read_mark=last_obs_time_mark,
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show_actions=True,
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)
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self.talking_message_str_truncate_short = build_readable_messages(
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messages=recent_messages,
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timestamp_mode="normal_no_YMD",
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read_mark=last_obs_time_mark,
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truncate=True,
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show_actions=True,
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)
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self.person_list = await get_person_id_list(self.talking_message)
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# logger.debug(
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# f"Chat {self.chat_id} - 现在聊天内容：{self.talking_message_str}"
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# )
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async def has_new_messages_since(self, timestamp: float) -> bool:
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"""检查指定时间戳之后是否有新消息"""
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count = num_new_messages_since(chat_id=self.chat_id, timestamp_start=timestamp)
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return count > 0
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