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https://github.com/PaiGramTeam/PamGram.git
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107 lines
3.4 KiB
Python
107 lines
3.4 KiB
Python
import json
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from copy import deepcopy
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from typing import Dict, Union, Optional, List
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from utils.typedefs import JSONDict
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class BaseObject:
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"""
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大多数数据对象的基础类型
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"""
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def __new__(cls, *args: object, **kwargs: object) -> "BaseObject":
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instance = super().__new__(cls)
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return instance
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def __str__(self) -> str:
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return str(self.to_dict())
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def __getitem__(self, item: str) -> object:
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try:
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return getattr(self, item)
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except AttributeError as exc:
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raise KeyError(
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f"Objects of type {self.__class__.__name__} don't have an attribute called " f"`{item}`."
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) from exc
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def __getstate__(self) -> Dict[str, Union[str, object]]:
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return self._get_attrs(include_private=True, recursive=False)
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def __setstate__(self, state: dict) -> None:
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for key, val in state.items():
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setattr(self, key, val)
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def __deepcopy__(self, memodict: dict = None):
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if memodict is None:
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memodict = {}
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cls = self.__class__
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result = cls.__new__(cls) # 创建新实例
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attrs = self._get_attrs(include_private=True) # 获取其所有属性
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for k in attrs: # 在DeepCopy对象中设置属性
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setattr(result, k, deepcopy(getattr(self, k), memodict))
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return result
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# 添加插槽可减少内存使用，并允许更快的属性访问
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__slots__ = ()
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def _get_attrs(
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self,
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include_private: bool = False,
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recursive: bool = False,
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) -> Dict[str, Union[str, object]]:
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data = {}
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if not recursive:
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try:
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# __dict__ 具有来自超类的属性，因此无需在下面的for循环中输入
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data.update(self.__dict__)
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except AttributeError:
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pass
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# 我们希望使用self获取类的所有属性，但如果使用 self.__slots__ ，仅包括该类本身使用的属性，而不是它的超类
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# 因此，我们得到它的MRO，然后再得到它们的属性
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# 使用“[：-1]”切片排除了“object”类
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for cls in self.__class__.__mro__[:-1]:
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for key in cls.__slots__: # 忽略 属性已定义
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if not include_private and key.startswith("_"):
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continue
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value = getattr(self, key, None)
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if value is not None:
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if recursive and hasattr(value, "to_dict"):
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data[key] = value.to_dict()
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else:
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data[key] = value
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elif not recursive:
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data[key] = value
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return data
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@staticmethod
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def _parse_data(data: Optional[JSONDict]) -> Optional[JSONDict]:
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return None if data is None else data.copy()
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@classmethod
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def de_json(cls, data: Optional[JSONDict]):
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data = cls._parse_data(data)
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if data is None:
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return None
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if cls == BaseObject:
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return cls()
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return cls(**data)
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@classmethod
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def de_list(cls, data: Optional[List[JSONDict]]) -> List:
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if not data:
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return []
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return [cls.de_json(d) for d in data]
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def to_json(self) -> str:
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return json.dumps(self.to_dict())
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def to_dict(self) -> JSONDict:
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return self._get_attrs(recursive=True)
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