A collection of Value Objects to save time by generalizing data type and format validations.
Project description
Python Value-Objects
A collection of Value Objects to save time by generalizing types and format validations.
Value-objects
Numeric value-objects
Int
Integer numbers without a fractional component that don't support decimal points.
from pyvalueobjects import Int
# Creation
my_integer = Int(9)
# Getting raw value
my_integer.value() # returns -> 9
Nullable Int
Integer numbers and None.
from pyvalueobjects import NullableInt
# Creation
my_integer = NullableInt(9)
# Creating from None
my_nullable_integer = NullableInt(None)
# Getting raw value
my_integer.value() # returns -> 9
my_nullable_integer.value() # returns -> None
String value-objects
String
from pyvalueobjects import String
# Creation
my_str = String('potato')
# Getting raw value
my_str.value() # returns -> 'potato'
Nullable String
from pyvalueobjects import NullableString
# Creation
my_str = NullableString('potato')
# Getting raw value
my_str.value() # returns -> 'potato'
# Creation
my_nullable_str = NullableString(None)
# Getting raw value
my_nullable_str.value() # returns -> None
Uuid4
from pyvalueobjects import Uuid4
# Creation
my_uuid4 = Uuid4('6c7add12-bf35-459e-a6c5-3178a2a33011')
# Getting raw value
my_uuid4.value() # returns -> '6c7add12-bf35-459e-a6c5-3178a2a33011'
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