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VisualizaçõesAnnotate dataclass class variable with type value
We have a number of dataclasses representing various results with common ancestor Result. Each result then provides its data using its own subclass of ResultData. But we have trouble to annotate the case properly.
We came up with following solution:
from dataclasses import dataclass
from typing import ClassVar, Generic, Optional, Sequence, Type, TypeVar
class ResultData:
...
T = TypeVar('T', bound=ResultData)
@dataclass
class Result(Generic[T]):
_data_cls: ClassVar[Type[T]]
data: Sequence[T]
@classmethod
def parse(cls, ...) -> T:
self = cls()
self.data = [self._data_cls.parse(...)]
return self
class FooResultData(ResultData):
...
class FooResult(Result):
_data_cls = FooResultData
but it stopped working lately with mypy error ClassVar cannot contain type variables [misc]. It is also against PEP 526, see https://www.python.org/dev/peps/pep-0526/#class-and-instance-variable-annotations, which we missed earlier.
Is there a way to annotate this case properly?
2 Respostas
Responde à pergunta0
As hinted in the comments, the _data_cls attribute could be removed, assuming that it's being used for type hinting purposes. The correct way to annotate a Generic class defined like class MyClass[Generic[T]) is to use MyClass[MyType] in the type annotations.
For example, hopefully the below works in mypy. I only tested in Pycharm and it seems to infer the type well enough at least.
from dataclasses import dataclass
from functools import cached_property
from typing import Generic, Sequence, TypeVar, Any, Type
T = TypeVar('T', bound='ResultData')
class ResultData:
...
@dataclass
class Result(Generic[T]):
data: Sequence[T]
@cached_property
def data_cls(self) -> Type[T]:
"""Get generic type arg to Generic[T] using `__orig_class__` attribute"""
# noinspection PyUnresolvedReferences
return self.__orig_class__.__args__[0]
def parse(self):
print(self.data_cls)
@dataclass
class FooResultData(ResultData):
# can be removed
this_is_a_test: Any = 'testing'
class AnotherResultData(ResultData): ...
# indicates `data` is a list of `FooResultData` objects
FooResult = Result[FooResultData]
# indicates `data` is a list of `AnotherResultData` objects
AnotherResult = Result[AnotherResultData]
f: FooResult = FooResult([FooResultData()])
f.parse()
_ = f.data[0].this_is_a_test # no warnings
f: AnotherResult = AnotherResult([AnotherResultData()])
f.parse()
Output:
<class '__main__.FooResultData'>
<class '__main__.AnotherResultData'>
And of course, here is proof that it seems to be working on my end:
0
At the end I just replaced the variable in _data_cls annotation with the base class and fixed the annotation of subclasses as noted by @rv.kvetch in his answer.
The downside is the need to define the result class twice in every subclass, but in my opinion it is more legible than extracting the class in property.
The complete solution:
from dataclasses import dataclass
from typing import ClassVar, Generic, Optional, Sequence, Type, TypeVar
class ResultData:
...
T = TypeVar('T', bound=ResultData)
@dataclass
class Result(Generic[T]):
_data_cls: ClassVar[Type[ResultData]] # Fixed annotation here
data: Sequence[T]
@classmethod
def parse(cls, ...) -> T:
self = cls()
self.data = [self._data_cls.parse(...)]
return self
class FooResultData(ResultData):
...
class FooResult(Result[FooResultData]): # Fixed annotation here
_data_cls = FooResultData