from dataclasses import dataclass, asdict from typing import List, Optional, Union, Any, Dict @dataclass class Seg(dict): """消息片段类,用于表示消息的不同部分 Attributes: type: 片段类型,可以是 'text'、'image'、'seglist' 等 data: 片段的具体内容 - 对于 text 类型,data 是字符串 - 对于 image 类型,data 是 base64 字符串 - 对于 seglist 类型,data 是 Seg 列表 translated_data: 经过翻译处理的数据(可选) """ type: str data: Union[str, List['Seg']] translated_data: Optional[str] = None def __init__(self, type: str, data: Union[str, List['Seg']], translated_data: Optional[str] = None): """初始化实例,确保字典和属性同步""" # 先初始化字典 super().__init__(type=type, data=data) if translated_data is not None: self['translated_data'] = translated_data # 再初始化属性 object.__setattr__(self, 'type', type) object.__setattr__(self, 'data', data) object.__setattr__(self, 'translated_data', translated_data) # 验证数据类型 self._validate_data() def _validate_data(self) -> None: """验证数据类型的正确性""" if self.type == 'seglist' and not isinstance(self.data, list): raise ValueError("seglist类型的data必须是列表") elif self.type == 'text' and not isinstance(self.data, str): raise ValueError("text类型的data必须是字符串") elif self.type == 'image' and not isinstance(self.data, str): raise ValueError("image类型的data必须是字符串") def __setattr__(self, name: str, value: Any) -> None: """重写属性设置,同时更新字典值""" # 更新属性 object.__setattr__(self, name, value) # 同步更新字典 if name in ['type', 'data', 'translated_data']: self[name] = value def __setitem__(self, key: str, value: Any) -> None: """重写字典值设置,同时更新属性""" # 更新字典 super().__setitem__(key, value) # 同步更新属性 if key in ['type', 'data', 'translated_data']: object.__setattr__(self, key, value) def to_dict(self) -> Dict: """转换为字典格式""" result = {'type': self.type} if self.type == 'seglist': result['data'] = [seg.to_dict() for seg in self.data] else: result['data'] = self.data if self.translated_data is not None: result['translated_data'] = self.translated_data return result @dataclass class GroupInfo: """群组信息类""" platform: Optional[str] = None group_id: Optional[int] = None group_name: Optional[str] = None # 群名称 def to_dict(self) -> Dict: """转换为字典格式""" return {k: v for k, v in asdict(self).items() if v is not None} @dataclass class UserInfo: """用户信息类""" platform: Optional[str] = None user_id: Optional[int] = None user_nickname: Optional[str] = None # 用户昵称 user_cardname: Optional[str] = None # 用户群昵称 def to_dict(self) -> Dict: """转换为字典格式""" return {k: v for k, v in asdict(self).items() if v is not None} @dataclass class BaseMessageInfo: """消息信息类""" platform: Optional[str] = None message_id: Optional[int,str] = None time: Optional[int] = None group_info: Optional[GroupInfo] = None user_info: Optional[UserInfo] = None def to_dict(self) -> Dict: """转换为字典格式""" result = {} for field, value in asdict(self).items(): if value is not None: if isinstance(value, (GroupInfo, UserInfo)): result[field] = value.to_dict() else: result[field] = value return result @dataclass class MessageBase: """消息类""" message_info: BaseMessageInfo message_segment: Seg raw_message: Optional[str] = None # 原始消息,包含未解析的cq码 def to_dict(self) -> Dict: """转换为字典格式 Returns: Dict: 包含所有非None字段的字典,其中: - message_info: 转换为字典格式 - message_segment: 转换为字典格式 - raw_message: 如果存在则包含 """ result = { 'message_info': self.message_info.to_dict(), 'message_segment': self.message_segment.to_dict() } if self.raw_message is not None: result['raw_message'] = self.raw_message return result @classmethod def from_dict(cls, data: Dict) -> 'MessageBase': """从字典创建MessageBase实例 Args: data: 包含必要字段的字典 Returns: MessageBase: 新的实例 """ message_info = BaseMessageInfo(**data.get('message_info', {})) message_segment = Seg(**data.get('message_segment', {})) raw_message = data.get('raw_message') return cls( message_info=message_info, message_segment=message_segment, raw_message=raw_message )