python 使用schema对多级嵌套json进行递归校验代码示例

假设我们有一个多级嵌套的 JSON 数据，例如：

{
  "name": "John",
  "age": 30,
  "address": {
    "street": "123 Main St",
    "city": "Anytown",
    "state": "CA",
    "zip": "12345"
  },
  "phones": [
    {
      "type": "home",
      "number": "555-555-1234"
    },
    {
      "type": "work",
      "number": "555-555-5678"
    }
  ]
}

我们可以使用 Python 的 `schema` 模块来定义一个嵌套的校验规则，例如：

from schema import Schema, And, Or, Optional

# 定义嵌套的校验规则
phone_schema = Schema({"type": str, "number": str})
address_schema = Schema(
    {
        "street": str,
        "city": str,
        "state": str,
        "zip": str,
    }
)
person_schema = Schema(
    {
        "name": str,
        "age": int,
        "address": address_schema,
        "phones": [phone_schema],
        Optional("email"): str,
    }
)

# 校验数据
data = {
    "name": "John",
    "age": 30,
    "address": {
        "street": "123 Main St",
        "city": "Anytown",
        "state": "CA",
        "zip": "12345",
    },
    "phones": [
        {"type": "home", "number": "555-555-1234"},
        {"type": "work", "number": "555-555-5678"},
    ],
}
person_schema.validate(data)

在上面的代码中，我们使用 `schema.Schema()` 创建了一个新的校验规则，并使用 `And()`、`Or()`、`Optional()` 等函数来定义校验规则。然后，我们使用 `validate()` 函数来校验数据。如果数据符合校验规则，就不会抛出异常；否则，会抛出异常并显示校验错误信息。