mirror of
https://github.com/kennethreitz/pydantic.git
synced 2026-06-05 23:00:18 +00:00
dmontagu
b84df079a7
* Added generic functionality * Skip tests in python 3.6 * double quote -> single quote * Simplified, with more comprehensive tests * double quote -> single quote * Remove unintentional file * Add caching * don't cythonize generics.py * Make work with mypy * Remove __parameters__ * double quote -> single quote i'll remember one day * More cleanup and validation * Removed unwanted file * A little more cleanup, and finish the PR * Add proper inheritance * Added note about inheritance to docs * Added error for double-parameterizing * Should build for python3.7 * Works with both 3.6 and 3.7 * Fixed bug with caching for single argument * handle __name__ for generic models * double quote -> single quote * Updated error messages
62 lines
1.6 KiB
Python
62 lines
1.6 KiB
Python
from typing import Generic, TypeVar, Optional, List
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from pydantic import BaseModel, validator, ValidationError
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from pydantic.generics import GenericModel
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DataT = TypeVar('DataT')
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class Error(BaseModel):
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code: int
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message: str
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class DataModel(BaseModel):
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numbers: List[int]
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people: List[str]
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class Response(GenericModel, Generic[DataT]):
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data: Optional[DataT]
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error: Optional[Error]
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@validator('error', always=True)
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def check_consistency(cls, v, values):
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if v is not None and values['data'] is not None:
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raise ValueError('must not provide both data and error')
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if v is None and values.get('data') is None:
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raise ValueError('must provide data or error')
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return v
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data = DataModel(numbers=[1, 2, 3], people=[])
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error = Error(code=404, message='Not found')
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print(Response[int](data=1))
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# > Response[int] data=1 error=None
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print(Response[str](data='value'))
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# > Response[str] data='value' error=None
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print(Response[str](data='value').dict())
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# > {'data': 'value', 'error': None}
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print(Response[DataModel](data=data).dict())
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# > {'data': {'numbers': [1, 2, 3], 'people': []}, 'error': None}
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print(Response[DataModel](error=error).dict())
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# > {'data': None, 'error': {'code': 404, 'message': 'Not found'}}
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try:
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Response[int](data='value')
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except ValidationError as e:
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print(e)
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"""
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4 validation errors
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data
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value is not a valid integer (type=type_error.integer)
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data
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value is not none (type=type_error.none.allowed)
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error
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value is not a valid dict (type=type_error.dict)
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error
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must provide data or error (type=value_error)
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"""
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