Reputation: 3507
I'm trying to write a function decorator that uses Python 3.6's type hints to check that a dictionary of arguments respects the type hints and if not raise an error with a clear description of the problem, to be used for HTTP APIs.
The problem is that when the function has a parameter using the Union
type I can't check a variable against it at runtime.
For example, I have this function
from typing import Union
def bark(myname: str, descr: Union[int, str], mynum: int = 3) -> str:
return descr + myname * mynum
I can do:
isinstance('Arnold', bark.__annotations__['myname'])
But not:
isinstance(3, bark.__annotations__['descr'])
Because Union
cannot be used with isinstance
or issubclass
.
I couldn't find a way to check it using the type object.
I tried to implement the check by myself but while bark.__annotations__['descr']
is shown as typing.Union[int, str]
in the REPL I can't access the list of the types at runtime, if not using the ugly hack of examining bark.__annotations__['descr'].__repr__()
.
Is there a proper way to access this information? Or is it deliberately intended to not be easily accessible at runtime?
Upvotes: 69
Views: 54535
Reputation: 8506
If you stumble with this question and you're in Python 3.12 or above, you can use the __value__
property to compare against Unions.
type StrOrInt = str | int
assert isinstance(4, StrOrInt.__value__)
assert isinstance('abc', StrOrInt.__value__)
assert not isinstance(4.2, StrOrInt.__value__)
Upvotes: 0
Reputation: 1785
In Python 3.8 and later, the approach suggested by MSeifert and Richard Xia can be improved by not using the undocumented attributes __origin__
and __args__
. This functionality is provided by the new functions typing.get_args(tp)
and typing.get_origin(tp)
:
>> from typing import Union, get_origin, get_args
>> x = Union[int, str]
>> get_origin(x), get_args(x)
(typing.Union, (<class 'int'>, <class 'str'>))
>> get_origin(x) is Union
True
>> isinstance(3, get_args(x))
True
>> isinstance('a', get_args(x))
True
>> isinstance([], get_args(x))
False
Upvotes: 100
Reputation: 6047
I guess that Union is not a type itself, but a description of a type.
But we can request the type simply by using type(Union)
(also works in 2.7)
>>> from typing import Union
>>> type(Union)
typing.Union
>>> x = Union[int, str]
>>> isinstance(x, type(Union))
True
Upvotes: -1
Reputation: 3736
You can use the typeguard
module which can be installed with pip
. It provides you with a function check_argument_types
or a function decorator @typechecked
. which should do your runtime type checking for you: https://github.com/agronholm/typeguard
from typing import Union
from typeguard import check_argument_types, typechecked
def check_and_do_stuff(a: Union[str, int]) -> None:
check_argument_types()
# do stuff ...
@typechecked
def check_decorator(a: Union[str, int]) -> None:
# do stuff ...
check_and_do_stuff("hello")
check_and_do_stuff(42)
check_and_do_stuff(3.14) # raises TypeError
If you want to check a type of a single variable for a different reason, you can use typeguard's check_type
function directly:
from typing import Union
from typeguard import check_type
MyType = Union[str, int]
check_type("arg", "string", MyType, None) # OK
check_type("arg", 42, MyType, None) # OK
check_type("arg", 3.5, MyType, None) # raises TypeError
The "arg"
and None
arguments are unused in this example.
Note that the check_type
function is not documented as a public function of this module so its API may be subject to change.
Upvotes: 11
Reputation: 694
The existing accepted answer by MSeifert (https://stackoverflow.com/a/45959000/7433423) does not distinguish Union
s from other generic types, and it is difficult to determine at runtime whether a type annotation is a Union
or some other generic type like Mapping
due to the behavior of isinstance()
and issubclass()
on parameterized Union
types.
It appears that generic types will have an undocumented __origin__
attribute which will contain a reference to the original generic type used to create it. Once you have confirmed that the type annotation is a parameterized Union
, you can then use the also undocumented __args__
attribute to get the type parameters.
>>> from typing import Union
>>> type_anno = Union[int, str]
>>> type_anno.__origin__ is Union
True
>>> isinstance(3, type_anno.__args__)
True
>>> isinstance('a', type_anno.__args__)
True
Upvotes: 25
Reputation: 152735
You could use the __args__
attribute of Union
which holds a tuple
of the "possible contents:
>>> from typing import Union
>>> x = Union[int, str]
>>> x.__args__
(int, str)
>>> isinstance(3, x.__args__)
True
>>> isinstance('a', x.__args__)
True
The __args__
argument is not documented so it could be considered "messing with implementation details" but it seems like a better way than parsing the repr
.
Upvotes: 33