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A collection of Value Objects to save time by generalizing data type and format validations.

Project description

Python Value-Objects

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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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