XData

A simple but useful library for validating data.

Features

• Easy to use, only one step
• Easy to extend
• No dependencies

Required

• python >= 3.5

Installation

pip install xdata

Usage

ValidatedData

from xdata.schema import Schema
from xdata.types 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.schema import Schema
from xdata.types 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.schema import Schema
from xdata.types 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')

Test

coverage run --source=xdata -m pytest && coverage report

Todos

1. More DataTypes
2. More Check rules

License

MIT