Package: data-validator
Validator with feature to change unexpected values.Featuresrecursive validation dictionary valuesexpanding the list of validators with custom validatorsability to assign handler functions globally or on single validator to change unexpected valuesability to throw exceptions on first error or after complete validation processability to return unexpected results and info about themInstallationAs usually use pip:pipinstalldata-validatorUsage examplesBasic dictionary validation:# user to validateuser={'first_name':'Very long name to validate','last_name':'Smith','email':'smith@gmail.com','second_email':'bad email','address':{'state':'Texas','city':'Dallas'},'career':[{'name':'google','from':2012,'until':'now'},{'name':'facebook','from':-1,'until':44444444444444}]}# We want to validate:# user['first_name'] and user['last_name'] length must be more then 2 and less then 10# user['email'] and user['second_email'] must match regex pattern r"^[\w\.\+\-]+\@[\w]+\.[a-z]{2,3}$"# user['address']['state'] may be Texas, Alabama or Alaska and it case sensitive# user['address']['city'] may be New York, Los Angeles or Washington and it not case sensitive# user['career'][*]['from'] and user['career'][*]['until'] must be int16. P.s. * is list index# And if we have unexpected values we need to change them with handler function - lambda x: -1# and if user['career']['until'] is unexpected we need to change this with handler function - lambda x: -2# user validation rulesrules={'first_name':[validators.StringLength([2,10])],'last_name':[validators.StringLength([2,10])],'email':[validators.Regex(r"^[\w\.\+\-]+\@[\w]+\.[a-z]{2,3}$")],'second_email':[validators.Regex(r"^[\w\.\+\-]+\@[\w]+\.[a-z]{2,3}$")],'address.state':[validators.Variants(['Texas','Alabama','Alaska'])],'address.city':[validators.Variants(['New York','Los Angeles','Washington'],case_sensitive=False)],'career.from':[validators.IntNumberType(numpy.int16)],'career.until':[validators.IntNumberType(numpy.int16,handler=lambdax:-2)]}# validate uservalidator=Validator(rules,common_handler=lambdax:-1)validator_result=validator.validate(user)ifnotvalidator_result:[print(unexpected)forunexpectedinvalidator.unexpected_values]# result will be# path: career.0.until, value: now, validator: <data_validator.validators.types.IntNumberType object at 0x7ffada681af8>, expected: <class 'numpy.int16'>, unexpected: <class 'str'># path: career.1.until, value: 2015555555, validator: <data_validator.validators.types.IntNumberType object at 0x7ffada681af8>, expected: <class 'numpy.int16'>, unexpected: <class 'numpy.int32'># path: address.city, value: Dallas, validator: <data_validator.validators.variants.Variants object at 0x7ffada681a68>, expected: ['new york', 'los angeles'], unexpected: dallas# path: second_email, value: bad email, validator: <data_validator.validators.regex.Regex object at 0x7ffada6819d8>, expected: ^[\w\.\+\-]+\@[\w]+\.[a-z]{2,3}$, unexpected: bad email# path: first_name, value: Very long name to validate, validator: <data_validator.validators.length.StringLength object at 0x7ffada6c7120>, expected: [2, 10], unexpected: 26# We can find original item in validator.original_item and changed dict in validator.processed_item:{'first_name':-1,'last_name':'Smith','email':'smith@gmail.com','second_email':-1,'address':{'state':'Texas','city':-1},'career':[{'name':'google','from':-1,'until':-2},{'name':'facebook','from':-1,'until':-2}]}