493 lines
17 KiB
Python
493 lines
17 KiB
Python
import time
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from abc import abstractmethod
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from dataclasses import dataclass
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from typing import Optional, Any, TYPE_CHECKING
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import urllib3
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from src.common.logger import get_logger
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if TYPE_CHECKING:
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from .chat_stream import ChatStream
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from ..utils.utils_image import get_image_manager
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from maim_message import Seg, UserInfo, BaseMessageInfo, MessageBase
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from rich.traceback import install
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install(extra_lines=3)
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logger = get_logger("chat_message")
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# 禁用SSL警告
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urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
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# 这个类是消息数据类，用于存储和管理消息数据。
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# 它定义了消息的属性，包括群组ID、用户ID、消息ID、原始消息内容、纯文本内容和时间戳。
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# 它还定义了两个辅助属性：keywords用于提取消息的关键词，is_plain_text用于判断消息是否为纯文本。
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@dataclass
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class Message(MessageBase):
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chat_stream: "ChatStream" = None
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reply: Optional["Message"] = None
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processed_plain_text: str = ""
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memorized_times: int = 0
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def __init__(
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self,
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message_id: str,
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chat_stream: "ChatStream",
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user_info: UserInfo,
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message_segment: Optional[Seg] = None,
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timestamp: Optional[float] = None,
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reply: Optional["MessageRecv"] = None,
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detailed_plain_text: str = "",
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processed_plain_text: str = "",
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):
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# 使用传入的时间戳或当前时间
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current_timestamp = timestamp if timestamp is not None else round(time.time(), 3)
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# 构造基础消息信息
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message_info = BaseMessageInfo(
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platform=chat_stream.platform,
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message_id=message_id,
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time=current_timestamp,
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group_info=chat_stream.group_info,
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user_info=user_info,
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)
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# 调用父类初始化
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super().__init__(message_info=message_info, message_segment=message_segment, raw_message=None)
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self.chat_stream = chat_stream
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# 文本处理相关属性
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self.processed_plain_text = processed_plain_text
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self.detailed_plain_text = detailed_plain_text
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# 回复消息
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self.reply = reply
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async def _process_message_segments(self, segment: Seg) -> str:
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"""递归处理消息段，转换为文字描述
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Args:
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segment: 要处理的消息段
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Returns:
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str: 处理后的文本
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"""
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if segment.type == "seglist":
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# 处理消息段列表
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segments_text = []
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for seg in segment.data:
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processed = await self._process_message_segments(seg)
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if processed:
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segments_text.append(processed)
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return " ".join(segments_text)
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else:
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# 处理单个消息段
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return await self._process_single_segment(segment)
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@abstractmethod
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async def _process_single_segment(self, segment):
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pass
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@dataclass
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class MessageRecv(Message):
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"""接收消息类，用于处理从MessageCQ序列化的消息"""
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def __init__(self, message_dict: dict[str, Any]):
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"""从MessageCQ的字典初始化
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Args:
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message_dict: MessageCQ序列化后的字典
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"""
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self.message_info = BaseMessageInfo.from_dict(message_dict.get("message_info", {}))
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self.message_segment = Seg.from_dict(message_dict.get("message_segment", {}))
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self.raw_message = message_dict.get("raw_message")
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self.processed_plain_text = message_dict.get("processed_plain_text", "")
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self.detailed_plain_text = message_dict.get("detailed_plain_text", "")
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self.is_emoji = False
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self.has_emoji = False
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self.is_picid = False
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self.has_picid = False
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self.is_mentioned = None
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self.priority_mode = "interest"
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self.priority_info = None
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self.interest_value = None
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def update_chat_stream(self, chat_stream: "ChatStream"):
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self.chat_stream = chat_stream
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async def process(self) -> None:
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"""处理消息内容，生成纯文本和详细文本
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这个方法必须在创建实例后显式调用，因为它包含异步操作。
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"""
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self.processed_plain_text = await self._process_message_segments(self.message_segment)
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self.detailed_plain_text = self._generate_detailed_text()
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async def _process_single_segment(self, segment: Seg) -> str:
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"""处理单个消息段
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Args:
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segment: 消息段
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Returns:
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str: 处理后的文本
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"""
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try:
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if segment.type == "text":
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self.is_picid = False
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self.is_emoji = False
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return segment.data
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elif segment.type == "image":
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# 如果是base64图片数据
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if isinstance(segment.data, str):
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self.has_picid = True
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self.is_picid = True
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self.is_emoji = False
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image_manager = get_image_manager()
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# print(f"segment.data: {segment.data}")
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_, processed_text = await image_manager.process_image(segment.data)
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return processed_text
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return "[发了一张图片，网卡了加载不出来]"
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elif segment.type == "emoji":
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self.has_emoji = True
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self.is_emoji = True
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self.is_picid = False
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if isinstance(segment.data, str):
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return await get_image_manager().get_emoji_description(segment.data)
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return "[发了一个表情包，网卡了加载不出来]"
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elif segment.type == "mention_bot":
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self.is_picid = False
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self.is_emoji = False
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self.is_mentioned = float(segment.data)
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return ""
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elif segment.type == "priority_info":
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self.is_picid = False
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self.is_emoji = False
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if isinstance(segment.data, dict):
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# 处理优先级信息
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self.priority_mode = "priority"
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self.priority_info = segment.data
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"""
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{
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'message_type': 'vip', # vip or normal
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'message_priority': 1.0, # 优先级，大为优先，float
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}
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"""
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return ""
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else:
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return ""
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except Exception as e:
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logger.error(f"处理消息段失败: {str(e)}, 类型: {segment.type}, 数据: {segment.data}")
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return f"[处理失败的{segment.type}消息]"
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def _generate_detailed_text(self) -> str:
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"""生成详细文本，包含时间和用户信息"""
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timestamp = self.message_info.time
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user_info = self.message_info.user_info
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name = f"<{self.message_info.platform}:{user_info.user_id}:{user_info.user_nickname}:{user_info.user_cardname}>"
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return f"[{timestamp}] {name}: {self.processed_plain_text}\n"
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@dataclass
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class MessageProcessBase(Message):
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"""消息处理基类，用于处理中和发送中的消息"""
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def __init__(
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self,
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message_id: str,
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chat_stream: "ChatStream",
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bot_user_info: UserInfo,
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message_segment: Optional[Seg] = None,
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reply: Optional["MessageRecv"] = None,
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thinking_start_time: float = 0,
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timestamp: Optional[float] = None,
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):
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# 调用父类初始化，传递时间戳
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super().__init__(
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message_id=message_id,
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timestamp=timestamp,
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chat_stream=chat_stream,
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user_info=bot_user_info,
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message_segment=message_segment,
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reply=reply,
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)
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# 处理状态相关属性
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self.thinking_start_time = thinking_start_time
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self.thinking_time = 0
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def update_thinking_time(self) -> float:
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"""更新思考时间"""
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self.thinking_time = round(time.time() - self.thinking_start_time, 2)
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return self.thinking_time
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async def _process_single_segment(self, seg: Seg) -> str | None:
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"""处理单个消息段
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Args:
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seg: 要处理的消息段
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Returns:
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str: 处理后的文本
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"""
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try:
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if seg.type == "text":
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return seg.data
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elif seg.type == "image":
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# 如果是base64图片数据
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if isinstance(seg.data, str):
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return await get_image_manager().get_image_description(seg.data)
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return "[图片，网卡了加载不出来]"
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elif seg.type == "emoji":
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if isinstance(seg.data, str):
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return await get_image_manager().get_emoji_description(seg.data)
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return "[表情，网卡了加载不出来]"
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elif seg.type == "at":
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return f"[@{seg.data}]"
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elif seg.type == "reply":
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if self.reply and hasattr(self.reply, "processed_plain_text"):
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# print(f"self.reply.processed_plain_text: {self.reply.processed_plain_text}")
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# print(f"reply: {self.reply}")
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return f"[回复<{self.reply.message_info.user_info.user_nickname}:{self.reply.message_info.user_info.user_id}> 的消息：{self.reply.processed_plain_text}]"
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return None
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else:
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return f"[{seg.type}:{str(seg.data)}]"
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except Exception as e:
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logger.error(f"处理消息段失败: {str(e)}, 类型: {seg.type}, 数据: {seg.data}")
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return f"[处理失败的{seg.type}消息]"
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def _generate_detailed_text(self) -> str:
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"""生成详细文本，包含时间和用户信息"""
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# time_str = time.strftime("%m-%d %H:%M:%S", time.localtime(self.message_info.time))
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timestamp = self.message_info.time
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user_info = self.message_info.user_info
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name = f"<{self.message_info.platform}:{user_info.user_id}:{user_info.user_nickname}:{user_info.user_cardname}>"
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return f"[{timestamp}]，{name} 说：{self.processed_plain_text}\n"
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@dataclass
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class MessageThinking(MessageProcessBase):
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"""思考状态的消息类"""
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def __init__(
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self,
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message_id: str,
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chat_stream: "ChatStream",
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bot_user_info: UserInfo,
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reply: Optional["MessageRecv"] = None,
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thinking_start_time: float = 0,
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timestamp: Optional[float] = None,
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):
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# 调用父类初始化，传递时间戳
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super().__init__(
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message_id=message_id,
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chat_stream=chat_stream,
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bot_user_info=bot_user_info,
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message_segment=None, # 思考状态不需要消息段
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reply=reply,
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thinking_start_time=thinking_start_time,
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timestamp=timestamp,
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)
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# 思考状态特有属性
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self.interrupt = False
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@dataclass
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class MessageSending(MessageProcessBase):
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"""发送状态的消息类"""
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def __init__(
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self,
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message_id: str,
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chat_stream: "ChatStream",
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bot_user_info: UserInfo,
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sender_info: UserInfo | None, # 用来记录发送者信息
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message_segment: Seg,
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display_message: str = "",
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reply: Optional["MessageRecv"] = None,
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is_head: bool = False,
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is_emoji: bool = False,
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thinking_start_time: float = 0,
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apply_set_reply_logic: bool = False,
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reply_to: str = None,
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):
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# 调用父类初始化
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super().__init__(
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message_id=message_id,
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chat_stream=chat_stream,
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bot_user_info=bot_user_info,
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message_segment=message_segment,
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reply=reply,
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thinking_start_time=thinking_start_time,
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)
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# 发送状态特有属性
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self.sender_info = sender_info
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self.reply_to_message_id = reply.message_info.message_id if reply else None
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self.is_head = is_head
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self.is_emoji = is_emoji
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self.apply_set_reply_logic = apply_set_reply_logic
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self.reply_to = reply_to
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# 用于显示发送内容与显示不一致的情况
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self.display_message = display_message
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self.interest_value = 0.0
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def build_reply(self):
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"""设置回复消息"""
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if self.reply:
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self.reply_to_message_id = self.reply.message_info.message_id
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self.message_segment = Seg(
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type="seglist",
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data=[
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Seg(type="reply", data=self.reply.message_info.message_id),
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self.message_segment,
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],
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)
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async def process(self) -> None:
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"""处理消息内容，生成纯文本和详细文本"""
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if self.message_segment:
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self.processed_plain_text = await self._process_message_segments(self.message_segment)
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@classmethod
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def from_thinking(
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cls,
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thinking: MessageThinking,
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message_segment: Seg,
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is_head: bool = False,
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is_emoji: bool = False,
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) -> "MessageSending":
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"""从思考状态消息创建发送状态消息"""
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return cls(
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message_id=thinking.message_info.message_id,
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chat_stream=thinking.chat_stream,
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message_segment=message_segment,
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bot_user_info=thinking.message_info.user_info,
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reply=thinking.reply,
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is_head=is_head,
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is_emoji=is_emoji,
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sender_info=None,
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)
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def to_dict(self):
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ret = super().to_dict()
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ret["message_info"]["user_info"] = self.chat_stream.user_info.to_dict()
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return ret
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def is_private_message(self) -> bool:
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"""判断是否为私聊消息"""
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return self.message_info.group_info is None or self.message_info.group_info.group_id is None
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@dataclass
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class MessageSet:
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"""消息集合类，可以存储多个发送消息"""
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def __init__(self, chat_stream: "ChatStream", message_id: str):
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self.chat_stream = chat_stream
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self.message_id = message_id
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self.messages: list[MessageSending] = []
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self.time = round(time.time(), 3) # 保留3位小数
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def add_message(self, message: MessageSending) -> None:
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"""添加消息到集合"""
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if not isinstance(message, MessageSending):
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raise TypeError("MessageSet只能添加MessageSending类型的消息")
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self.messages.append(message)
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self.messages.sort(key=lambda x: x.message_info.time)
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def get_message_by_index(self, index: int) -> Optional[MessageSending]:
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"""通过索引获取消息"""
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if 0 <= index < len(self.messages):
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return self.messages[index]
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return None
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def get_message_by_time(self, target_time: float) -> Optional[MessageSending]:
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"""获取最接近指定时间的消息"""
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if not self.messages:
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return None
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left, right = 0, len(self.messages) - 1
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while left < right:
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mid = (left + right) // 2
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if self.messages[mid].message_info.time < target_time:
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left = mid + 1
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else:
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right = mid
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return self.messages[left]
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def clear_messages(self) -> None:
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"""清空所有消息"""
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self.messages.clear()
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def remove_message(self, message: MessageSending) -> bool:
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"""移除指定消息"""
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if message in self.messages:
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self.messages.remove(message)
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return True
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return False
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def __str__(self) -> str:
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return f"MessageSet(id={self.message_id}, count={len(self.messages)})"
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def __len__(self) -> int:
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return len(self.messages)
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def message_recv_from_dict(message_dict: dict) -> MessageRecv:
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return MessageRecv(message_dict)
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def message_from_db_dict(db_dict: dict) -> MessageRecv:
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"""从数据库字典创建MessageRecv实例"""
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# 转换扁平的数据库字典为嵌套结构
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message_info_dict = {
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"platform": db_dict.get("chat_info_platform"),
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"message_id": db_dict.get("message_id"),
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"time": db_dict.get("time"),
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"group_info": {
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"platform": db_dict.get("chat_info_group_platform"),
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"group_id": db_dict.get("chat_info_group_id"),
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"group_name": db_dict.get("chat_info_group_name"),
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},
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"user_info": {
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"platform": db_dict.get("user_platform"),
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"user_id": db_dict.get("user_id"),
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"user_nickname": db_dict.get("user_nickname"),
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"user_cardname": db_dict.get("user_cardname"),
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},
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}
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processed_text = db_dict.get("processed_plain_text", "")
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# 构建 MessageRecv 需要的字典
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recv_dict = {
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"message_info": message_info_dict,
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"message_segment": {"type": "text", "data": processed_text}, # 从纯文本重建消息段
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"raw_message": None, # 数据库中未存储原始消息
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"processed_plain_text": processed_text,
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"detailed_plain_text": db_dict.get("detailed_plain_text", ""),
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}
|
||
|
||
# 创建 MessageRecv 实例
|
||
msg = MessageRecv(recv_dict)
|
||
|
||
# 从数据库字典中填充其他可选字段
|
||
msg.interest_value = db_dict.get("interest_value")
|
||
msg.is_mentioned = db_dict.get("is_mentioned")
|
||
msg.priority_mode = db_dict.get("priority_mode", "interest")
|
||
msg.priority_info = db_dict.get("priority_info")
|
||
msg.is_emoji = db_dict.get("is_emoji", False)
|
||
msg.is_picid = db_dict.get("is_picid", False)
|
||
|
||
return msg
|