onelinevalidation 0.4.4

onelinevalidation It is a simple library in the Python language that performs validate in an easy and simple way

onelinevalidation

Now the validation is easy. 😎

onelinevalidation It is a simple library in the Python language that performs validation in an easy and simple way.

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Installation

• From PyPi

python pip install onelinevalidation

Examples of how to use

from onelinevalidation import validate_form

userData = {"username": "amr123", "email": "[e-mail]", "password": "123Ab#"}
print(validate_form(userData))

Result

{'error': {'username': 'Invalid username should be like this abc_123 or abc. abc', 'email': 'This email address is not valid', 'password': 'The password length must be at least 8 uppercase, lowercase letters, numbers, symbols like @aA123#*'}
}

Create custom validate

If you want more control use custom_validate

from onelinevalidation import custom_validate


pattrens = [
	"[a-zA-Z]+[_.]+[a-zA-Z0-9]+", 
	"[a-zA-Z0-9_-]+[@](aol|gmail|yahoo|outlook)+(.com)+",
	"^(?=.*?[A-Z])(?=.*?[a-z])(?=.*?[0-9])(?=.*?[#?!@$%^&*-]).{8,}$"
]


messages = [
	"Invalid username should be like this abc_123 or abc. abc",
	"This email address is not valid",
	"The password length must be at least 8 uppercase, lowercase letters, numbers, symbols like @aA123#*"
]


print(custom_validate(userData, pattrens, messages))

Result

{'good': {'username': 'amr_123', 'email': '[e-mail]', 'password': '123---Ab#'}}

Do you not prefer dealing with the regex 🙃?

Now in the new version 🥳🎉, you can perform validation using callback functions. From the validators library

from onelinevalidation import validate_data_with_callbacks
import validators


user_data = {
    'btc': '00000000000000000000000',
    'amount': 0.5,
    'md5': '0000'
}

messages = [
    'Invalid btc address',
    'The minimum value must be at least $1.',
    'Invalid md5 value'
]

from functools import partial

callbacks = [
    validators.btc_address,
    {'func': partial(validators.between, min_val = 1, max_val = 100)},
    validators.md5
]

result = validate_data_with_callbacks(user_data, callbacks, messages)
print(result)

Result

{'errors': {'btc': 'Invalid btc address', 'amount': 'The minimum value must be at least $1.', 'md5': 'Invalid md5 value'}}

from onelinevalidation import validate_data_with_callbacks
import validators


user_data = {
    'btc': '3Cwgr2g7vsi1bXDUkpEnVoRLA9w4FZfC69',
    'amount': 1,
    'md5': 'd41d8cd98f00b204e9800998ecf8427e'
}

messages = [
    'Invalid btc address',
    'The minimum value must be at least $1.',
    'Invalid md5 value'
]

from functools import partial

callbacks = [
    validators.btc_address,
    {'func': partial(validators.between, min_val = 1, max_val = 100)},
    validators.md5
]

result = validate_data_with_callbacks(user_data, callbacks, messages)
print(result)

Result

{'good': {'btc': '3Cwgr2g7vsi1bXDUkpEnVoRLA9w4FZfC69', 'amount': 1, 'md5': 'd41d8cd98f00b204e9800998ecf8427e'}}

Note

In default sanitize = True in validate_form and other functions This is to prevent a Cross-site Scripting vulnerability

For more info : https://owasp.org/www-community/attacks/xss/

I want to thank Gemini 🙂❤ because he helped me develop this library.

Credits

• validators library: https://pypi.org/project/validators/

The validators library was used to validate the input data in the onelinevalidation library.

Links

• validators website: https://validators.readthedocs.io/en/latest/