schema list validator --python cerberus

工作中需要对如下json结构进行验证：

"ActiveStatus" : [{"effectiveDates" : {"effectiveFrom" : "2018-05-10T12:44:17Z","effectiveTo" : "2018-05-11T00:29:29Z"},"status" : "Active","reason" : ""},{"effectiveDates" : {"effectiveFrom" : "2018-05-11T00:29:29Z"},"status" : "Inactive","reason" : "Expired/Matured"}
],

使用cerberus，定位到schema list.

（一）先从单条记录开始测试（cerberus_test_single.py）

from cerberus import Validator
from datetime import datetime, date, timedef string_toDatetime(string):return datetime.strptime(string, "%Y-%m-%d")schema={'effectiveDates':{'type':'dict','schema':{'effectiveFrom':{'type':'datetime'},'effectiveTo':{'type':'datetime'}}},'status':{'type':'string','allowed':['Active','Inactive']},'reason':{'type':'string'}
}
document={'effectiveDates':{'effectiveFrom':string_toDatetime('2018-05-10'),'effectiveTo':string_toDatetime('2018-05-11'),},'status':'Active','reason':'Expired'
}v=Validator(schema)
v.validate(document)print(v.errors)

在命令行运行文件，验证成功：

E:\Learning\AWS\cerberus>cerberus_test.py
{}

注：结果为{}表示v.errors中没有错误，即验证成功。

如果修改上述文件中的document为如下：

document={'effectiveDates':{'effectiveFrom':string_toDatetime('2018-05-10'),'effectiveTo':string_toDatetime('2018-05-11'),},'status':'ctive','reason':'Expired'
}

此时将验证失败：

E:\Learning\AWS\cerberus>cerberus_test_single.py
{'status': ['unallowed value ctive']}

（二）加入list，验证多条的情况：

首先想到将上述schema（红色部分）嵌套到一个schema里，然后type指定list：

schema={'type':'list'schema={'effectiveDates':{'type':'dict','schema':{'effectiveFrom':{'type':'datetime'},'effectiveTo':{'type':'datetime'}}},'status':{'type':'string','allowed':['Active','Inactive']},'reason':{'type':'string'}}
}

代码如下（cerberus_test.py）

from cerberus import Validator
from datetime import datetime, date, time

def string_toDatetime(string):return datetime.strptime(string, '%Y-%m-%d')schema={'activeStatus':{'type':'list','schema':{      'effectiveDates':{'type':'dict','schema':{'effectiveFrom':{'type':'datetime'},'effectiveTo':{'type':'datetime'}}},'status':{'type':'string','allowed':['Active','Inactive']},'reason':{'type':'string','allowed':['Expired','Matured']}}}
}document={'activeStatus':[{'effectiveDates':{'effectiveFrom':string_toDatetime('2018-05-10'),'effectiveTo':string_toDatetime('2018-05-11')},'status':'Active','reason':'Expired'},{'effectiveDates' : {'effectiveFrom' :string_toDatetime('2018-05-11')},'status' : 'Inactive','reason' : 'Matured'}
]
}
v=Validator(schema)
v.validate(document)print(v.errors)

命令行运行代码发现：

E:\Learning\AWS\cerberus>cerberus_test.py
Traceback (most recent call last):File "E:\Learning\AWS\cerberus\test.py", line 48, in <module>v.validate(document)File "C:\Python27\lib\site-packages\cerberus\validator.py", line 877, in validateself.__validate_definitions(definitions, field)File "C:\Python27\lib\site-packages\cerberus\validator.py", line 940, in __validate_definitionsresult = validate_rule(rule)File "C:\Python27\lib\site-packages\cerberus\validator.py", line 922, in validate_rulereturn validator(definitions.get(rule, None), field, value)File "C:\Python27\lib\site-packages\cerberus\validator.py", line 1234, in _validate_schemaself.__validate_schema_sequence(field, schema, value)File "C:\Python27\lib\site-packages\cerberus\validator.py", line 1259, in __validate_schema_sequenceupdate=self.update, normalize=False)File "C:\Python27\lib\site-packages\cerberus\validator.py", line 877, in validateself.__validate_definitions(definitions, field)File "C:\Python27\lib\site-packages\cerberus\validator.py", line 940, in __validate_definitionsresult = validate_rule(rule)File "C:\Python27\lib\site-packages\cerberus\validator.py", line 921, in validate_rulevalidator = self.__get_rule_handler('validate', rule)File "C:\Python27\lib\site-packages\cerberus\validator.py", line 338, in __get_rule_handler"domain.".format(rule, domain))
RuntimeError: There's no handler for 'status' in the 'validate' domain.

（三）解决办法：

仔细查看cerberus自带例子（http://docs.python-cerberus.org/en/stable/validation-rules.html#schema-list）

>>> schema = {'rows': {'type': 'list',
...                    'schema': {'type': 'dict', 'schema': {'sku': {'type': 'string'},
...                                                          'price': {'type': 'integer'}}}}}
>>> document = {'rows': [{'sku': 'KT123', 'price': 100}]}
>>> v.validate(document, schema)
True

发现它把schema又嵌入到一个shema里，而不是我想的那样，于是我这么做：

schema={'activeStatus':{'type':'list','schema':{'schema':{'effectiveDates':{'type':'dict','schema':{'effectiveFrom':{'type':'datetime'},'effectiveTo':{'type':'datetime'}}},'status':{'type':'string','allowed':['Active','Inactive']},'reason':{'type':'string','allowed':['Expired','Matured']}}}}
}

竟然可以成功验证！以下为完整的python文件（cerberus_test.py）:

from cerberus import Validator
from datetime import datetime, date, time
#import pdb def string_toDatetime(string):return datetime.strptime(string, '%Y-%m-%d')schema={'activeStatus':{'type':'list','schema':{'schema':{'effectiveDates':{'type':'dict','schema':{'effectiveFrom':{'type':'datetime'},'effectiveTo':{'type':'datetime'}}},'status':{'type':'string','allowed':['Active','Inactive']},'reason':{'type':'string','allowed':['Expired','Matured']}}}}
}document={'activeStatus':[{'effectiveDates':{'effectiveFrom':string_toDatetime('2018-05-10'),'effectiveTo':string_toDatetime('2018-05-11')},'status':'Active','reason':'Expired'},{'effectiveDates' : {'effectiveFrom' :string_toDatetime('2018-05-11')},'status' : 'Inactive','reason' : 'Matured'}
]
}#pdb.set_trace()
v=Validator(schema)
v.validate(document)print(v.errors)

注意：因为schema是list，document在构建的时候需要使用数组[]。

转载于:https://www.cnblogs.com/yanzibuaa/p/9110983.html

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