Files
pydantic/docs/examples/models_generics.py
T
2020-05-31 14:54:12 +01:00

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Python

from typing import Generic, TypeVar, Optional, List
from pydantic import BaseModel, validator, ValidationError
from pydantic.generics import GenericModel
DataT = TypeVar('DataT')
class Error(BaseModel):
code: int
message: str
class DataModel(BaseModel):
numbers: List[int]
people: List[str]
class Response(GenericModel, Generic[DataT]):
data: Optional[DataT]
error: Optional[Error]
@validator('error', always=True)
def check_consistency(cls, v, values):
if v is not None and values['data'] is not None:
raise ValueError('must not provide both data and error')
if v is None and values.get('data') is None:
raise ValueError('must provide data or error')
return v
data = DataModel(numbers=[1, 2, 3], people=[])
error = Error(code=404, message='Not found')
print(Response[int](data=1))
print(Response[str](data='value'))
print(Response[str](data='value').dict())
print(Response[DataModel](data=data).dict())
print(Response[DataModel](error=error).dict())
try:
Response[int](data='value')
except ValidationError as e:
print(e)