一款非常实用的数据验证工具,通常用于数据的验证.
特性验证数据一步到位
容易扩展,容易自定义数据类型以及验证方式
无第三方依赖
要求python>=3.5
安装pipinstallxdata
用法ValidatedData
from xdata import *class UserSchema(Schema): telephone = Str(length=11, required=True) password = Str(min_length=8,max_length=16, required=True) request_data = { 'telephone':'18180050000', 'password':'idonotknow'}schema = UserSchema(request_data)if schema.valid: print(schema.validated_data) # {'telephone': '18180050000', 'password': 'idonotknow'}Errors
from xdata import *class UserSchema(Schema): telephone = Str(length=11, required=True) password = Str(min_length=8, max_length=16, required=True)request_data = {}schema = UserSchema(request_data)if not schema.valid: print(schema.errors) # {'telephone': 'telephone is required', 'password': 'password is required'}DataTypes
from xdata import *DataType(required=True,default='11',choices=[])Str(length=11, max_length=12,min_length=10,regex="")Int(max=10000,min=12)Bool(max=10000,min=12)Decimal(left=5,right=2)DateTime(max_datetime='2001-01-01 00:00:00', min_datetime='2000-01-01 00:00:00')Date(max_date='2001-01-01', min_date='2000-01-01')Time(max_time='06:00:00', min_time='05:00:00')
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