[英]how to ignore extra kwargs in python-attrs class
For example:例如:
@attrs
class Foo:
a = attrib()
f = Foo(a=1, b=2)
Code above will throw an error because class Foo
doesn't have b
attr.上面的代码会抛出错误,因为类
Foo
没有b
属性。 But I want to discard passed b
value as if I just called f = Foo(a=1)
.但是我想丢弃传递的
b
值,就像我刚刚调用f = Foo(a=1)
一样。 In my use case I have dynamic dict (which I want to transform into attr-class) and I simply do not need some of the keys.在我的用例中,我有动态 dict(我想将其转换为 attr-class),我根本不需要一些键。
I think I figured out a more elegant solution which allows you to take advantage of the features of attrs while also tweaking the __init__
logic.我想我想出了一个更优雅的解决方案,它允许您利用attrs的功能同时调整
__init__
逻辑。 See attrs documentation for more info.有关详细信息,请参阅attrs 文档。
@attr.s(auto_attribs=True, auto_detect=True)
class Foo():
a: int
optional: int = 3
def __init__(self,**kwargs):
filtered = {
attribute.name: kwargs[attribute.name]
for attribute in self.__attrs_attrs__
if attribute.name in kwargs
}
self.__attrs_init__(**filtered)
The code above allows you to specify extraneous keyword args.上面的代码允许您指定无关的关键字参数。 It also allows for optional args.
它还允许使用可选参数。
>>> Foo(a = 1, b = 2)
Foo(a=1, optional=3)
attrs detects the explicit init method (due to auto_detect=True
) and still creates the init function, but calls it __attrs_init__
. attrs检测到显式 init 方法(由于
auto_detect=True
)并仍然创建 init 函数,但将其__attrs_init__
。 This allows you do define your own init function to do preprocessing and then call __attrs_init__
when you are done.这允许您定义自己的 init 函数来进行预处理,然后在完成后调用
__attrs_init__
。
>>> import inspect
>>> print(inspect.getsource(Foo.__attrs_init__))
def __attrs_init__(self, a, optional=attr_dict['optional'].default):
self.a = a
self.optional = optional
class FromDictMixin:
@classmethod
def from_dict(cls, data: dict):
return cls(**{
a.name: data[a.name]
for a in cls.__attrs_attrs__
})
@attrs
class Foo(FromDictMixin):
a = attrib()
It works, but it looks kinda ugly.它有效,但它看起来有点难看。 I was hopping that
attrs
lib had out of the box solution.我希望
attrs
lib 有开箱即用的解决方案。
This seems to be more of a question of serialization/deserialization/validation and attrs is quite strict on its argument for multiple reasons.这似乎更像是一个序列化/反序列化/验证的问题,并且由于多种原因, attrs 对其论点非常严格。 One of them is typing (as in types, not pressing keys :)) and the other is robustness/debugabiity.
其中一个是打字(如类型,而不是按键:)),另一个是健壮性/可调试性。 Ignoring arguments that you might have just misspelt can lead to very frustrating moments.
忽略您可能拼错的论点可能会导致非常令人沮丧的时刻。 It's better to move this kind of stuff into a separate layer.
最好将这种东西移到单独的层中。
You can find some possible tools for that in https://github.com/python-attrs/attrs/wiki/Extensions-to-attrs .您可以在https://github.com/python-attrs/attrs/wiki/Extensions-to-attrs找到一些可能的工具。
I had to do something similar but I didn't want to write a custom __init__
method for every class.我必须做类似的事情,但我不想为每个类编写一个自定义的
__init__
方法。 So I created a decorator where it would attach an __init__
method to the class before instantiation then wrap in attrs.define
decorator.所以我创建了一个装饰器,它会在实例化之前将
__init__
方法附加到类,然后包装在attrs.define
装饰器中。
This is just an example but does what you want.这只是一个示例,但可以执行您想要的操作。
import attrs
def define(cls):
def __init__(cls, **kwargs):
filtered = {}
for attr in cls.__attrs_attrs__:
if attr.name in kwargs:
filtered[attr.name] = kwargs[attr.name]
cls.__attrs_init__(**filtered)
def wrapper(*args, **kwargs):
nonlocal cls
cls.__init__ = __init__
cls = attrs.define(cls)
return cls(*args, **kwargs)
return wrapper
@define
class Booking:
id: int
id_hash: str
booking = {"id": 1, "id_hash": "a3H33lk", "foo": "bar"}
b = Booking(**booking)
print(b)
# Booking(id=1, id_hash='a3H33lk')
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