data-validator 0.1.2

功能

• 递归验证字典值
• 使用自定义验证器展开验证器列表
• 能够全局或在单个验证程序上分配处理程序函数以更改意外值
• 能够在第一个错误或验证过程完成后引发异常
• 能够返回意外结果和有关结果的信息

安装

通常使用pip:

pip install data-validator

用法示例

基本字典验证：

# 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}]}