Python Pydantic - 如何拥有 "optional"字段，但如果存在则需要符合非 None 值？

Question

我正在尝试验证一个具有“可选”字段的对象，因为它们可能存在也可能不存在。但是当它们存在时，字段应该符合特定的类型定义(而不是 None)。

在下面的示例中，“大小”字段是可选的，但允许“无”。我希望“大小”字段是可选的，但如果存在，它应该是一个 float 。

from pydantic import BaseModel

class Foo(BaseModel):
    count: int
    size: float = None  # how to make this an optional float? 

 >>> Foo(count=5)
 Foo(count=5, size=None)  # GOOD - "size" is not present, value of None is OK


 >>> Foo(count=5, size=None)
 Foo(count=5, size=None) # BAD - if field "size" is present, it should be a float

 # BONUS
 >>> Foo(count=5)
 Foo(count=5)  # BEST - "size" is not present, it is not required to be present, so we don't care about about validating it all.  We are using Foo.json(exclude_unset=True) handles this for us which is fine.

Answer 1

from pydantic import BaseModel
from typing import Optional

class Foo(BaseModel):
    count: int
    size: Optional[float]


obj = Foo(count=5)
obj_2 = Foo(count=5, size=1.6)

# count=5 size=None
print(obj)
# count=5 size=1.6
print(obj_2)

这可能会令人困惑，但输入的可选类型将使您有可能拥有“可选”字段