Jea*_* T. 10 python python-dataclasses
我有一些带有类属性和元类的 Python 类:
from abc import ABCMeta
class OldProduct(metaclass=ABCMeta):
c_type: str
c_brand: str
def __init__(self, name:str):
self.name = name
class OldLegoBox(OldProduct):
c_type = "Toy"
c_brand = "Lego"
def __init__(self, name:str, price:float):
self.name = name
self.price = price
oldbox1 = OldLegoBox("Princess", 12.3)
print(oldbox1.c_brand)
oldbox2 = OldLegoBox("Knight", 42.3)
print(oldbox2.c_brand)
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我想dataclasses用来改进代码:如何处理类属性c_type和c_brand?
我正在考虑以下似乎可以满足我的需求:
from abc import ABCMeta
from dataclasses import dataclass, field
@dataclass
class Product(metaclass=ABCMeta):
c_type: str
c_brand: str
name: str
@dataclass
class LegoBox(Product):
name: str
price: float
c_type: str = field(default="Toy", init=False)
c_brand: str = field(default="Lego", init=False)
box1 = LegoBox("Princess", 12.3)
print(box1)
box1.price = 1000
box1.name = "toto"
box1.c_brand = "some brand"
print(box1)
box2 = LegoBox("Knight", 42.3)
print(box2)
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有没有更合适的方法?
Pat*_*ugh 21
@dataclass
class Product(metaclass=ABCMeta):
c_type: ClassVar[str]
c_brand: ClassVar[str]
name: str
@dataclass
class LegoBox(Product):
c_type: ClassVar[str] = "Toy"
c_brand: ClassVar[str] = "Lego"
price: float
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据我所知,使用抽象类实际上并没有给您带来任何好处,因为没有抽象方法。您仍然可以创建 的实例Product,但它们将没有c_type或c_brand属性。