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How to make validation using onelinevalidation library In Python

Hi ๐Ÿ™‚๐Ÿ–

In this post, I will share with you how to use onelinevalidation library In Python.

What is onelinevalidation

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

install onelinevalidation

python pip install onelinevalidation
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Examples of how to use


from onelinevalidation import validate_form

userData = {"username": "amr123", "email": "amr.@aol.com", "password": "123Ab#"}
print(validate_form(userData))

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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#*'}
}

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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))
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Result

{'good': {'username': 'amr_123', 'email': 'amr@aol.com', 'password': '123---Ab#'}}

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Do you not prefer dealing with the regex ๐Ÿ™ƒ?

Now in the new version ๐Ÿฅณ๐ŸŽ‰, 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)
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Result

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

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