[Python] Is it possible to make different versions of the same pydantic basemodel?

Explanation of the title:

Suppose we have the following setup of pydantic models:

class ParametersA(BaseModel):
param_a: str = Field(
default=...,
allow_mutation=False,
exclude=False,
description="some description.",
extra={
"additional_bool": False
}
)
param_b: bool = Field(
default=False,
allow_mutation=True,
exclude=False,
description="some description.",
extra={
"additional_bool": False
}
)
# many more parameters of all types with additional constaints (le, gt, max_items,...)

class ParametersB(BaseModel):
param_c: float = Field(
default=-22.0,
exclude=False,
allow_mutation=True,
description="some floaty description",
gt=-180.0,
le=0.0,
extra={
"additional_bool": False,
"unit": "degree"
}
)
param_d: List[str] = Field(
default=["auto"],
exclude=False,
allow_mutation=True,
min_items=1,
max_items=4,
unique_items=True,
description="Some listy description.",
extra={
"auto_mode_available": False
}
)
# many more parameters of all types with additional constaints (le, gt, max_items,...)


These two Models are fields in yet another BaseModel:

class FullModelX(BaseModel):
parameters_A: ParametersA
parameters_B: ParametersB


The question is if it would be possible to create yet another model:

class FullModelY(BaseModel):
parameters_A: ParametersA
parameters_B: ParametersB


which can reuse the classes ParametersA and ParametersB but with different validation limits and different meta-data? So for example, in FullModelX the default value for param_b of ParametersA might be False, while in FullModelX it should be True. Same goes for any other FieldInfo property such as exclude, gt, le and so on..

So far my only solution is to duplicate ParametersA and ParametersB every time I need some other validation constraints.

Continue reading...