schema 验证数据

schema简介

schema，使用Python编写的Python第三方的数据结构验证库，可以验证那些从配置文件、表单、外部服务或命令行解析中获得的数据结构。

schema实例

from schema import Schema, And, Use, Optional, SchemaError

schema = Schema(
    [
        {
            "name": And(str, len),
            "age": And(Use(int), lambda n: 18 <= n <= 99),
            Optional("gender"): And(
                str,
                Use(str.lower),
                lambda s: s in ("squid", "kid"),
            ),
        }
    ]
)

data = [
    {"name": "Sue", "age": "28", "gender": "Squid"},
    {"name": "Sam", "age": "42"},
    {"name": "Sacha", "age": "20", "gender": "KID"},
]

validated = schema.validate(data)

assert validated == [
    {"name": "Sue", "age": 28, "gender": "squid"},
    {"name": "Sam", "age": 42},
    {"name": "Sacha", "age": 20, "gender": "kid"},
]

schema Github统计数据

MIT license

Github 2.8k stars

schema安装命令

pip install schema

schema要求的Python版本

schema is tested with Python 2.6, 2.7, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9

免责声明：内容编辑自网络，仅供参考，不保证正确性，不作任何决策依据！！以上数据皆截止于博文的写稿日期。