如何从复杂的嵌套 json 格式中获取所需的 json 输出。？

Question

我的原始文件是 CSV 格式，我已将其转换为 python JSON 数组到 JSON Sring。 json文件

<class 'list'>
<class 'dict'>

[
  {
    "key": "timestamp",
    "source": "eia007",
    "turnover": "65million",
    "url": "abc.com",
    "record": "",
    "loc.reg": "nord000",
    "loc.count": "abs39i5",
    "loc.town": "cold54",
    "co.gdp": "nscrt77",
    "co.pop.min": "min50",
    "co.pop.max": "max75",
    "co.rev": "",
    "chain.system": "5t5t5",
    "chain.type": "765ef",
    "chain.strat": "",
    
   }
]

我想得到如下输出：

{
 "timestamp001": {
 "key": "timestamp001",
 "phNo": "ner007",
 "turnover": "65million",
 "url": "abc.com",
 "record": "",
 "loc": {
    "reg": "nord000",
    "count": "abs39i5",
    "town": "cold54"
   },
 "co": {
    "form": "nscrt77",
    "pop": {
        "min": "min50",
        "max": "max75"
         },
        "rev: ""
    },
  "chain":{
           "system": "5t5t5",
           "type": "765ef",
           "strat": ""
          }
     ...
      }
...
  }
]

我尝试了不同的选择；试图枚举，但无法获得所需的输出。请帮我解决一下这个。提前致谢。

Answer 1

你可以使用这样的东西来创建嵌套字典：

import json

def unflatten(somedict):
    unflattened = {}

    for key, value in somedict.items():
        splitkey = key.split(".")
        print(f"doing {key} {value} {splitkey}")

        # subdict is the dict that goes deeper in the nested structure
        subdict = unflattened

        for subkey in splitkey[:-1]:

            # if this is the first time we see this key, add it
            if subkey not in subdict:
                subdict[subkey] = {}

            # shift the subdict a level deeper
            subdict = subdict[subkey]

        # add the value
        subdict[splitkey[-1]] = value

    return unflattened


data = {
    "key": "timestamp",
    "source": "eia007",
    "turnover": "65million",
    "url": "abc.com",
    "record": "",
    "loc.reg": "nord000",
    "loc.count": "abs39i5",
    "loc.town": "cold54",
    "co.gdp": "nscrt77",
    "co.pop.min": "min50",
    "co.pop.max": "max75",
    "co.rev": "",
    "chain.system": "5t5t5",
    "chain.type": "765ef",
    "chain.strat": "",
}

unflattened = unflatten(data)
print(json.dumps(unflattened, indent=4))

产生：

{
    "key": "timestamp",
    "source": "eia007",
    "turnover": "65million",
    "url": "abc.com",
    "record": "",
    "loc": {
        "reg": "nord000",
        "count": "abs39i5",
        "town": "cold54"
    },
    "co": {
        "gdp": "nscrt77",
        "pop": {
            "min": "min50",
            "max": "max75"
        },
        "rev": ""
    },
    "chain": {
        "system": "5t5t5",
        "type": "765ef",
        "strat": ""
    }
}

干杯！