Let's say we have a function definition like this:
def f(*, model: Optional[Type[pydantic.BaseModel]] = None)
So the function doesn't require pydantic
to be installed until you pass something as a model
. Now let's say we want to pack the function into pypi package. And my question is if there's a way to avoid bringing pydantic
into the package dependencies only the sake of type checking?
I tried to follow dspenser's advice, but I found mypy still giving me Name 'pydantic' is not defined
error. Then I found this chapter in the docs and it seems to be working in my case too:
from typing import TYPE_CHECKING
if TYPE_CHECKING:
import pydantic
You can use normal clases (instead of string literals) with __future__.annotations
(python 3.8.1):
from __future__ import annotations
from typing import TYPE_CHECKING, Optional, Type
if TYPE_CHECKING:
import pydantic
def f(*, model: Optional[Type[pydantic.BaseModel]] = None):
pass
If for some reason you can't use __future__.annotations
, e.g. you're on python < 3.7, use typing with string literals from dspenser's solution.
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