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.
Specific error control messages.
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 0.2.1

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 0.2.1
File	Size	Uploaded
dirty-validators-0.2.1.tar.gz	8.2 kB	Feb 3, 2015	Details

Release files / dirty-validators-0.2.1.tar.gz

Download URL	dirty-validators-0.2.1.tar.gz
Size	8.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`88e37bdbf25c5863dd2415ca3e7717f4eb0c563ac7dfc29b5c921bff579ac533`
BLAKE2b-256 checksum How to use checksums	`d48a46e9e6ec8255767e8a5d8e4a72986659d5a60fac3cfe8c5de3d01fd3bb13`
Upload date	Feb 3, 2015
Uploaded using Trusted Publishing? What is trusted publishing?	No