Pankoff

Lightweight, flexible, easy to use validation tool. Pure Python, no dependencies.

Validate, mutate, serialize and deserialize with lots of magic.

pip install --user pankoff

Read full documentation here.

$ cat data.json
{
    "name": "Yaroslav",
    "salary": "100 USD",
    "kind": 1
}

from pankoff.base import Container
from pankoff.combinator import combine
from pankoff.exceptions import ValidationError
from pankoff.magic import autoinit
from pankoff.validators import String, BaseValidator, Number

kinds = {
    1: "Good person",
    2: "Bad person"
}


class Salary(BaseValidator):

    def __setup__(self, amount, currency):
        self.amount = amount
        self.currency = currency

    def mutate(self, instance, value):
        return f"{instance.name} salary is: {value}"

    def validate(self, instance, value):
        amount, currency = value.split()
        if int(amount) != self.amount or currency != self.currency:
            raise ValidationError(f"Wrong data in field: `{self.field_name}`")


class KindMutator(BaseValidator):

    def validate(self, instance, value):
        if value not in kinds:
            raise ValidationError(f"Person kind should be in {kinds.keys()}")

    def mutate(self, instance, value):
        return kinds[value]


@autoinit
class Person(Container):
    name = String()
    salary = Salary(amount=100, currency="USD")
    kind = combine(Number, KindMutator)()


if __name__ == "__main__":
    Person.from_path("data.json").to_path("mutated_data.json", indent=4)

$ cat mutated_data.json
{
    "name": "Yaroslav",
    "salary": "Yaroslav salary is: 100 USD",
    "kind": "Good person"
}