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Validate library for python 3

Project description

travis-master coverall-master

dirty-validators

Agnostic validators for python 3

Freely based on [WTF-Forms](https://github.com/wtforms/wtforms) validators.

Features

  • Python 3 package.
  • Easy to create a validator.
  • Chained validations.
  • Conditional validations.
  • Specific error control messages.
  • Dirty model integration (https://github.com/alfred82santa/dirty-models)
  • No database dependent.
  • Asynchronous validators.

Changelog

Version 0.5.4

  • Allow model validator inheritance.

Version 0.5.2

  • Remove hard dependency from Dirty Models.
  • Fix bug iterating ListModels.

Version 0.5.1

  • Added value validators for mappings.

Version 0.5.0

  • Added asynchronous validators.

Version 0.4.0

  • Added <root> keyword in order to look up a field from root model of context.
  • Added key_validator argument for spec validators in order to validate keys on hashmaps.

Installation

$ 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('abcdefg@test.com')

# 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

Note

Look at tests for more examples

Project details


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