Python3.x 如何验证具有内部json字符串的json字符串

按照构建模型的方式，可以验证嵌套的JSON object，如下所示:

{
  "data": 123,
  "inner_data": {
    "color": "RED"
  }
}

皮丹蒂克将很高兴地将该JSON用于您的Expected和InnerData类:

>>> incoming_json_string = '{"data": 123, "inner_data": {"color": "RED"}}'
>>> expected = Expected.model_validate_json(incoming_json_string)
>>> expected
Expected(data=123, inner_data=InnerData(color='RED'))

但是，如果希望inner_data接收JSON字符串而不是对象，则需要显式处理这种情况.你可以用BeforeValidator，就像这样:

from pydantic import BaseModel, BeforeValidator
from typing import Annotated

class InnerData(BaseModel):
    color: str

class Expected(BaseModel):
    data: int
    inner_data: Annotated[InnerData, BeforeValidator(InnerData.model_validate_json)]

incoming_json_string = '{"data": 123, "inner_data": "{\\"color\\": \\"RED\\"}"}'
expected = Expected.model_validate_json(incoming_json_string)

给定一个包含嵌套JSON字符串的JSON对象，如下所示:

{
  "data": 123,
  "inner_data": "{\"color\": \"RED\"}"
}

验证器将对JSON字符串进行解码，以使未序列化的结果与PYDANIC期望的InnerData匹配:

>>> incoming_json_string = '{"data": 123, "inner_data": "{\\"color\\": \\"RED\\"}"}'
>>> expected = Expected.model_validate_json(incoming_json_string)
>>> expected
Expected(data=123, inner_data=InnerData(color='RED'))

我对您试图解决的问题一无所知，但在大多数情况下，您实际上希望保持问题中的代码方式，并避免在JSON对象中嵌入JSON编码的数据.