exert 0.2.2

Declarively apply converter functions to class attributes.

Exert

Declaratively apply converter functions to class attributes.

Installation

Install via pip:

pip install exert

Usage

Use this to declaratively apply arbitrary converter functions to the attributes of a class. For example:

from __future__ import annotations

from typing import Annotated
from exert import exert


@exert
class Foo:
    a: Annotated[int, lambda x: x**2]
    b: Annotated[float, lambda x: x / 2]

    def __init__(self, a: int, b: float) -> None:
        self.a = a
        self.b = b


foo = Foo(2, 42.0)

print(foo.a) # prints 4
print(foo.b) # prints 21.0

Here, the lambda function inside the Annotated tag is the converter.

Using with dataclasses

Dataclasses can also be used to avoid writing the initializer by hand. For example:

...
from dataclasses import dataclass


@exert
@datclasses
class Foo:
    a: Annotated[int, lambda x: x**2]
    b: Annotated[float, lambda x: x / 2]


foo = Foo(2, 42.0)

print(foo.a) # prints 4
print(foo.b) # prints 21.0

Apply multiple converters sequentially

Multiple converters are allowed. For example:

...

@exert
@dataclass
class Foo:
    a: Annotated[int, lambda x: x**2, lambda x: x**3]
    b: Annotated[float, lambda x: x / 2, lambda x: x / 3]


foo = Foo(2, 42.0)

print(foo.a) # prints 64  [2**2=4, 4**3=64]
print(foo.b) # prints 7.0 [42.0/2=21.0, 21.0/3=7.0]

Excluding tagged fields

If you want to exclude a field that's tagged with Annotated, you can do so using the tagged_exclude parameter:

...

@exert(tagged_exclude=("b",))
@dataclass
class Foo:
    a: Annotated[int, lambda x: x**2, lambda x: x**3]
    b: Annotated[float, lambda x: x / 2, lambda x: x / 3]


foo = Foo(2, 42.0)

print(foo.a)  # prints 64  [2**2=4, 4**3=64]
print(foo.b)  # prints 42.0 [This field was ignored]

Including untagged fields

By default, exert will ignore fields that aren't tagged with Annotated. But you can still apply converters to those fields. You'll need to use converters and untagged_include together:

...

@exert(converters=(lambda x: x**2, lambda x: x**3), untagged_include=("b",))
@dataclass
class Foo:
    a: int
    b: float


foo = Foo(2, 42.0)

print(foo.a)  # prints 2            [This field remains untouched]
print(foo.b)  # prints 5489031744.0 [42.0**2=1764, 1764**3=5489031744.0]

Apply common converters without repetition

Common converters can be applied to multiple fields without introducing any repetition. The the previous section already shows how to do it:

...

@exert(converters=(lambda x: x**2, ), untagged_include=("a", "b"))
@dataclass
class Foo:
    a: int
    b: float


foo = Foo(2, 42.0)

print(foo.a)  # prints 2      [This field remains untouched]
print(foo.b)  # prints 1764.0 [42.0**2=1764.0]

Apply common and tagged converters together

You can apply a sequence of common converters and tagged converters together. By default, the common converters are applied first and then the tagged converters are applied sequentially:

...

@exert(converters=(lambda x: x**2, lambda x: x**3), untagged_include=("b",))
@dataclass
class Foo:
    a: Annotated[int, lambda x: x / 100]
    b: float


foo = Foo(2, 42.0)

print(foo.a)  # prints 0.64         [2**2=4, 4**3=64, 64/100=0.64]
print(foo.b)  # prints 5489031744.0 [42.0**2=1764, 1764**3=5489031744.0]

You can also, choose to apply the common converters after the tagged ones. For this, you'll need to set the apply_last parameter to True:

...
@exert(
    converters=(lambda x: x**2, lambda x: x**3),
    untagged_include=("b",),
    apply_last=True,
)
@dataclass
class Foo:
    a: Annotated[int, lambda x: x / 100]
    b: float


foo = Foo(2, 42.0)

print(foo.a)  # prints 6.401e-11 [2/100=0.02, 0.02**2=0.004, 0.0004**3=6.401e-11]
print(foo.b)  # prints 5489031744.0 [42.0**2=1764, 1764**3=5489031744.0]

Include all untagged fields

To apply converters to all the untagged fields, use untagged_include="__all__":

...

@exert(
    converters=(lambda x: x**2, lambda x: x**3),
    untagged_include="__all__",
)
@dataclass
class Foo:
    a: int
    b: float


foo = Foo(2, 42.0)

print(foo.a)  # prints 64   [2**2=4, 4**4=64]
print(foo.b)  # prints 5489031744.0 [42.0**2=1764, 1764**3=5489031744.0]

Exclude all tagged fields

To ignore all the fields tagged with Annotated, use tagged_exclude="__all__":

...

@exert(
    converters=(lambda x: x**2, lambda x: x**3),
    tagged_exclude="__all__",
)
@dataclass
class Foo:
    a: Annotated[int, lambda x: x**2]
    b: Annotated[float, lambda x: x**3]


foo = Foo(2, 42.0)

print(foo.a)  # prints 2   [Untouched]
print(foo.b)  # prints 42.0 [Untouched]