如何验证 Cerberus 中的嵌套字典对象

Question

这是一个需要验证的示例数据。 employee_eligibility 嵌套字典中的键是数字字符串“[0-9]+”。

{
  "client_id": 1,
  "subdomain": "Acme",
  "shifts": [
    20047, 20048, 20049
  ],
  "employee_eligibility": {
    "1": {
      "20047": 1,
      "20048": 0,
      "20049": 1
    },
    "2": {
      "20047": 1,
      "20048": 0,
      "20049": 1
    },
    "3": {
      "20047": 1,
      "20048": 1,
      "20049": 0
    }
  }
}

我编写了以下验证模式：

    {
        "client_id": {"type": "integer"},
        "subdomain": {"type": "string"},
        "shifts": {"type": "list", "schema": {"type": "integer"}},
        "employee_eligibility": {
            "type": "dict",
            "keysrules": {"type": "string", "regex": "[0-9]+"},
            "schema": {
                "type": "dict",
                "keysrules": {"type": "string", "regex": "[0-9]+"},
                "schema": {"type": "integer"}
            }
        },
    }

当我运行验证时出现以下错误：

{'employee_eligibility': ['must be of dict type']}

Answer 1

您的架构略有偏差，您需要使用 valuesrules 来验证字典的值。

schema = {
    "client_id": {"type": "integer"},
    "subdomain": {"type": "string"},
    "shifts": {"type": "list", "schema": {"type": "integer"}},

    # `employee_eligibility` is a dictionary
    "employee_eligibility": {
        "type": "dict",

        # the keys in `employee_eligibility` are strings matching this regex
        "keysrules": {"type": "string", "regex": "^[0-9]+"},

        # the values in `employee_eligibility` are also dictionaries with keys
        # that are strings that match this regex and integer values
        "valuesrules": {
            "type": "dict",
            "keysrules": {"type": "string", "regex": "^[0-9]+"},
            "valuesrules": {"type": "integer"},
        },
    },
}

编辑： 添加了一些注释来注释示例

如何验证 Cerberus 中的嵌套字典对象

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