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

Metadata

Release files for dirty-validators 0.5.4

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dirty_validators-0.5.4-py3-none-any.whl 13.0 kB Mar 31, 2020 Without provenance	Python 3	none	any	Details

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Download URL	dirty_validators-0.5.4-py3-none-any.whl
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Tags	Python 3
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