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.

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 0.2.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dirty-validators 0.2.2
File	Size	Uploaded
dirty-validators-0.2.2.tar.gz	7.8 kB	Apr 30, 2015	Details

Release files / dirty-validators-0.2.2.tar.gz

Download URL	dirty-validators-0.2.2.tar.gz
Size	7.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`a51660b35c7c4304aa1798ffbeeaaed3226d25f72eb388d7a60fc3fc2cd62e42`
BLAKE2b-256 checksum How to use checksums	`ba3c92008806db49142ff61dc82e1d96ea894bac8ad8643fc504756928bd982e`
Upload date	Apr 30, 2015
Uploaded using Trusted Publishing? What is trusted publishing?	No