This release is a pre-release and may not be stable for production use.
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.
Stateless validators.
Deferred validators.
Changelog
Version 0.6.0
The stateless refactor. Dirty validators now are full stateless. It means now there is no messages on validator instance. The is_valid method returns a validation context. It is evaluated as True if there were no errors and false otherwise. So, it is possible to still to use checks like if validator.is_valid(my_data): but we recomend to use the Walruf operator (https://peps.python.org/pep-0572/): if result := validator.is_valid(my_data):. That is important because messages are stored on context.
# Python +3.8
if result := validator.is_valid(my_data):
# some code
else:
print(result.error_messages)
#or
if not (result := validator.is_valid(my_data)):
print(result.error_messages)On the other hand, validation error messages now are an object. It stores error code, error message template and context values. There is a helper function from_context_to_legacy_message in order to convert a context to legacy message format.
Stateless refactor
New Context class stores state of validation process.
New ValidationErrorMessage class to store validation error messages.
New Deferred validator in order to build validator on runtime depending on context.
New from_context_to_legacy_message helper.
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-validatorsBasic 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 True1 maintainer
Metadata
1 maintainer
Release files for dirty-validators 0.6.0b2
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| dirty_validators-0.6.0b2-py3-none-any.whl | Python 3 | none | any | Details |
Release files / dirty_validators-0.6.0b2-py3-none-any.whl
| Download URL | dirty_validators-0.6.0b2-py3-none-any.whl |
|---|---|
| Size | 16.4 kB |
| Tags | Python 3 |
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