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"
}