Question

我最近问过this问题，该如何删除列表中的名称，但是我意识到我真正想做的就是摆脱数组中字典的名称。

我想验证这样的结构（注意，字典未命名）：

{
    "some list": [
        {
            "foo": "bar"
        },
        {
            "bin": "baz"
        }
    ]
}

Answer 1

问题似乎是试图将数组描述为“具有未命名属性的对象”的模棱两可。

如果您在两者之间遗漏了不必要的对象，则会得到一个简单的模式：

{
  "type": "object",
  "properties": {
    "some list": {
      "type": "array",
      "items": {
        "anyOf": [
          {
            "type": "string",
            "description": "a string"
          },
          {
            "type": "integer",
            "minimum": 0,
            "description": "Default time to expose a single image layer for."
          }
        ]
      }
    }
  }
}

Answer 2

我尝试了这个。不要奇怪我有另一个问题的文件。

[  {
"type": "Feature",
"geometry": {
  "type": "Point",
  "coordinates": [
    52.743356,
    -111.546907
  ]
},
"properties": {
  "dealerName": "Smiths Equipment Sales (Smiths Hauling)",
  "address": "HWY 13 - 5018 Alberta Avenue",
  "city": "Lougheed",
  "state": "AB",
  "zip": "T0B 2V0",
  "country": "Canada",
  "website": "http://smithsequipsales.com/",
  "phone": "780-386-3842",
  "dealerCode": "SMI06",
  "tractor": true,
  "utv": false,
  "hp": false
}  },  {
"type": "Feature",
"geometry": {
  "type": "Point",
  "coordinates": [36.16876,-84.07945]
},
"properties": {
  "dealerName": " Tommy's Motorsports",
  "address": "2401 N Charles G Seivers Blvd",
  "city": "Clinton",
  "state": "TN",
  "statename": "United States",
  "zip": "37716",
  "phone": "865-494-6500",
  "website": "https://www.tommysmotorsports.com/",
  "dealerCode": "TOM08",
  "tractor": true,
  "utv": false,
  "hp": false
  }
}
]

您可以这样输入：

import json
   data = json.load(open('test.json'))

    for i in data:
          print(i["type"])

Answer 3

JSON模式替代（仅类型检查）：

from dataclasses import asdict, dataclass
from typing import List, Union

from validated_dc import ValidatedDC


@dataclass
class Foo(ValidatedDC):
    foo: str


@dataclass
class Bin(ValidatedDC):
    bin: str


@dataclass
class Items(ValidatedDC):
    some_list: List[Union[Foo, Bin]]


data = [
    {
        "foo": "bar"
    },
    {
        "bin": "baz"
    }
]

items = Items(some_list=data)
assert items.get_errors() is None
assert isinstance(items.some_list[0], Foo)
assert isinstance(items.some_list[1], Bin)
assert asdict(items) == {'some_list': data}

ValidatedDC-https://github.com/EvgeniyBurdin/validated_dc

JSON模式来验证字典数组

3 个答案: