How to get required json output from complex nested json format.? - json

Question

My original file is in CSV format which I have converted to python JSON array to JSON Sring.
jsonfile
<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": "",
}
]
I would like to get the output as below:
{
"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": ""
}
...
}
...
}
]
I have tried different options; tried to enumerate, but cannot get the required output. Please help me with this. Thanks in advance.

Answer 1

You can use something like this to create the nested dict:
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))
Which produces:
{
"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": ""
}
}
Cheers!