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Validate library for python 3

Project description

travis-master coverall-master


Agnostic validators for python 3

Freely based on [WTF-Forms]( validators.


  • Python 3 package.

  • Easy to create a validator.

  • Chained validations.

  • Specific error control messages.

  • No database dependent.


$ pip install dirty-validators

Basic usage

from dirty_validators.basic import EqualTo, Length, Regexp, Email
from dirty_validators.complex import Optional, ModelValidate

validator = Optional(validators=[EqualTo(comp_value="test")])

assert validator.is_valid("test") is True

# Chained validation
validator_chain = Chain(validators=[Length(min=14, max=16), Regexp(regex='^abc'), Email()])

assert validator_chain.is_valid('')

# Model validation

class MyModelValidator(ModelValidate):
    fieldName1 = Optional(validators=[Length(min=4, max=6)])
    fieldName2 = Optional(validators=[Length(min=1, max=2)])
    fieldName3 = Required(validators=[Length(min=7, max=8)])

validator_model = MyModelValidator()

data = {
    "fieldName1": "1234",
    "fieldName1": "12",
    "fieldName3": "123456qw"

assert validator_model.is_valid(FakeModel(data)) is True

Project details

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dirty-validators-0.2.0.tar.gz (8.2 kB view hashes)

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