tombulled-archive/pydantype

Custom validated types, integratable with pydantic

pydantype

Custom validated types that work with pydantic

Installation

The pydantype library uses Poetry and can easily be installed from source, or using pip

Using pip

pip install git+https://github.com/tombulled/pydantype.git

Usage

>>> import pydantype
>>>
>>> # Use a provided type
>>> pydantype.Integer(187583583803)
Integer(187,583,583,803)
>>>
>>>
>>> # Create your own custom type
>>> class PositiveInteger(pydantype.Integer):
        @pydantype.validator()
        def validate_any(cls, value):
            value = cls.new(value)

            if value < 0:
                raise ValueError('Value must be positive (>= 0)')

            return value

>>>
>>> PositiveInteger(123)
PositiveInteger(123)
>>> PositiveInteger(-123)
ValueError: Value must be positive (>= 0)
>>>
>>> # Use with pydantic
>>> import pydantic
>>>
>>> class Model(pydantic.BaseModel):
        integer: PositiveInteger

>>>
>>> Model(integer = 123)
Model(integer=PositiveInteger(123))
>>> Model(integer = -123)
pydantic.error_wrappers.ValidationError: 1 validation error for Model
integer
  Value must be positive (>= 0) (type=value_error)
>>>