递归遍历Python3中参差不齐的JSON层次结构以执行部分叶节点删除

递归遍历Python3中参差不齐的JSON层次结构以执行部分叶节点删除,python,json,python-3.x,dictionary,recursive-datastructures,Python,Json,Python 3.x,Dictionary,Recursive Datastructures,我有一个JSON块,看起来有点像这样: [ { "children": [ { "address": "123 Main Street", "class": "blarg", "children": [ { "children": [ {

我有一个JSON块,看起来有点像这样:

[
{
    "children": [
        {
            "address": "123 Main Street",
            "class": "blarg",
            "children": [
                {
                    "children": [
                        {
                            "children": [
                                {
                                    "y_type": "string",
                                    "x_type": "002",
                                    "002_id": 2222,
                                    "updated_at": "2018-03-29T13:47:42.986Z",
                                    "field020": "AAA",
                                    "field030": "DDD"
                                },
                                {
                                    "y_type": "bool",
                                    "x_type": "007",
                                    "007_id": 2222,
                                    "updated_at": "2018-03-29T13:47:42.986Z",
                                    "field1": True,
                                    "field2": True
                                }
                            ],
                            "create_at": "2018-03-29T13:45:20.875Z",
                            "x_id": "3e0e1b44-ac0d-4bf7-985e-11d74b8be323",
                            "junk_field": {},
                            "x_type": "000",
                            "timezone": "America/New_York",
                            "update_at": "2018-03-29T13:45:20.875Z"
                        },
                        {
                            "sibling": [1,2,3]
                        }
                    ]
                }
            ]
        }
    ]
}]
我需要做的是找到x_类型为“007”的“子”叶节点,并删除与该数据块关联的字段1条目。我在尝试隔离与正确类型的叶节点(子节点,而不是同级节点)关联的整个dict时遇到了问题,因此我可以检查它是否为正确的x_类型并执行删除操作


我不确定从我拼凑的递归函数传递/返回什么类型的值。我以前从未在Python中进行过递归,更不用说针对粗糙的JSON层次结构了,所以我可以使用一些帮助/指导来了解使用/google的方法。如果你能帮我朝正确的方向走,我将不胜感激

您可以使用递归解包字典:

def d_filter(d):
  return {**({a:b for a, b in d.items() if d.get('x_type') != '007' or a != 'field1'}), \
   'children':list(map(d_filter, d.get('children', [])))} 

new_data = list(map(d_filter, data))

输出:

[
  {
    "children": [
        {
            "address": "123 Main Street",
            "class": "blarg",
            "children": [
                {
                    "children": [
                        {
                            "children": [
                                {
                                    "y_type": "string",
                                    "x_type": "002",
                                    "002_id": 2222,
                                    "updated_at": "2018-03-29T13:47:42.986Z",
                                    "field020": "AAA",
                                    "field030": "DDD",
                                    "children": []
                                },
                                {
                                    "y_type": "bool",
                                    "x_type": "007",
                                    "007_id": 2222,
                                    "updated_at": "2018-03-29T13:47:42.986Z",
                                    "field2": true,
                                    "children": []
                                }
                            ],
                            "create_at": "2018-03-29T13:45:20.875Z",
                            "x_id": "3e0e1b44-ac0d-4bf7-985e-11d74b8be323",
                            "junk_field": {},
                            "x_type": "000",
                            "timezone": "America/New_York",
                            "update_at": "2018-03-29T13:45:20.875Z"
                        },
                        {
                            "sibling": [
                                1,
                                2,
                                3
                            ],
                            "children": []
                        }
                    ]
                }
            ]
        }
     ]
   }
]

这让我走上了正确的道路。TYVM!!我感谢你花时间回答这个问题!!你刚刚让我不用向老板解释为什么这么晚了…@Squish88很乐意帮忙!
[
  {
    "children": [
        {
            "address": "123 Main Street",
            "class": "blarg",
            "children": [
                {
                    "children": [
                        {
                            "children": [
                                {
                                    "y_type": "string",
                                    "x_type": "002",
                                    "002_id": 2222,
                                    "updated_at": "2018-03-29T13:47:42.986Z",
                                    "field020": "AAA",
                                    "field030": "DDD",
                                    "children": []
                                },
                                {
                                    "y_type": "bool",
                                    "x_type": "007",
                                    "007_id": 2222,
                                    "updated_at": "2018-03-29T13:47:42.986Z",
                                    "field2": true,
                                    "children": []
                                }
                            ],
                            "create_at": "2018-03-29T13:45:20.875Z",
                            "x_id": "3e0e1b44-ac0d-4bf7-985e-11d74b8be323",
                            "junk_field": {},
                            "x_type": "000",
                            "timezone": "America/New_York",
                            "update_at": "2018-03-29T13:45:20.875Z"
                        },
                        {
                            "sibling": [
                                1,
                                2,
                                3
                            ],
                            "children": []
                        }
                    ]
                }
            ]
        }
     ]
   }
]