python - 列出嵌套字典

我有类似的级别列表

levels = [["A", "B", "C", "D"], ["A", "B"], ["A", "B", "X"]]

作为响应，嵌套字典应显示为

    {
    "name": "A",
    "parent": -1,
    "children": [
        {
            "name": "B",
            "parent": "A",
            "children": [
                {
                    "name": "C",
                    "parent": "B",
                    "children": [
                        {
                            "name": "D",
                            "parent": "C",
                        }
                    ],

                },
                {
                    "name": "X",
                    "parent": "B"
                }
            ],

        }
    ]
}

我知道我在递归循环中丢失了一些东西。

到目前为止，这是我的代码

import csv
import json

class AutoVivification(dict):
    """Implementation of perl's autovivification feature."""
    def __getitem__(self, item):
        try:
            return dict.__getitem__(self, item)
        except KeyError:
            value = self[item] = type(self)()
            return value

def master_tree(data, payload, parent = -1):
    if len(data) == 1:
        if data[0] not in payload['name']:
            payload = {'name':data[0], "parent": parent}
    else:
        if data[0] in payload['name']:
            for k in payload['children']:
                master_tree(data[1:], k, data[0])
        else:
            payload = {'name': data[1], "parent": data[0], 'children':[master_tree(data[1:], payload, data[0])]}

    return payload


payload = AutoVivification()
payload = master_tree(["A", "B", "X"], payload)
payload = master_tree(["A", "B", "C", "D"], payload)

print json.dumps(payload, indent=4)

当重复相同的结构时，会出现问题。就像第一次迭代中已经存在A-> B-> C-> D一样，当再次传递A-> B时，理想情况下应跳过它，在最后一种情况下，它应仅在B下添加X节点

最佳答案

import csv
import json

class AutoVivification(dict):
    """Implementation of perl's autovivification feature."""
    def __getitem__(self, item):
        try:
            return dict.__getitem__(self, item)
        except KeyError:
            value = self[item] = type(self)()
            return value

def master_tree(data, payload, parent = -1):
    if len(data) == 1:
        if data[0] not in payload['name']:
            payload = {'name':data[0], "parent": parent}
    else:
        if 'name' in payload and data[0] in payload['name']:
            get_list = []
            for k in payload['children']:
                get_list.append(k['name'])
            if data[1] in get_list:
                master_tree(data[1:], k, data[0])
            else:
                payload['children'].append(master_tree(data[1:], {'name':data[0], "parent": parent}, data[0]))

        else:
            payload = {'name': data[0], "parent": parent, 'children':[master_tree(data[1:], payload, data[0])]}

    return payload


payload = AutoVivification()
payload = master_tree(["A", "B", "X"], payload)
payload = master_tree(["A", "B", "C", "D"], payload)
payload = master_tree(["A", "B", "Q"], payload)


print json.dumps(payload, indent=4)