获取基于cerberus schema的模板

Question

我要做的是使用cerberus模式定义作为数据模板的唯一定义套件。我遇到的问题是如何从模式转换到数据模板。我不知道如何根据数据模式从无到有地构建。你知道吗

因此，与其拥有数据并对其进行验证，不如拥有模式并据此进行构建。你知道吗

我已经尝试了所有的示例，并尝试对空数据集进行验证，以查看是否可以使用错误生成器来提供迭代器。你知道吗

# yaml defined earlier and created this dict
In [7]: print(schema_yaml)
{'networks': {'type': 'list', 'schema': {'type': 'dict', 'schema': {'vlan': {'type': 'dict', 'schema': {'id': {'max': 4094, 'type': 'integer', 'min': 1}, 'name': {'type': 'string'}}}, 'ipv4': {'type': 'dict', 'schema': {'prefix_length': {'type': 'integer'}, 'address': {'type': 'ipv4address'}}}}}}}

# Pulled an example that even created custom validator
In [11]: %cpaste
Pasting code; enter '--' alone on the line to stop or use Ctrl-D.
:class NetworkDataJsonValidator(Validator):
    """
    A simple JSON data validator with a custom data type for IPv4 addresses
    """
    def _validate_type_ipv4address(self, field, value):
        """
        checks that the given value is a valid IPv4 address
        """
        try:
            # try to create an IPv4 address object using the python3 ipaddress module
            ipaddress.IPv4Address(value)

        except:
            self._error(field, "Not a valid IPv4 address")
--

# Created the cerberus validator
In [8]: validator = NetworkDataJsonValidator(schema_yaml)

# and i can validate known data ok, but I can't figure out a way to just give me an iterator that provide a data "template"
In [19]: print(validator.validate("{}"))
..snipped..
DocumentError: '{}' is not a document, must be a dict

In [20]: print(validator.validate({}))
True

所以在这个例子中，我只需要一种方式来编程地内省模式，从而提供一种方法来提示用户或根据模式自动构建