Move second level JSON entry to top level

[FDL83]

I’m trying to grab some key:value pairs from this json file, sorting them and writing them to a new file.

The code below works if I only use top level key:value pairs.

from collections import OrderedDict
import json

def ordered(d, key_order):
   
    return OrderedDict([(key, d[key]) for key in key_order])

desired_key_order = ("name", "description", "image", "attributes")

with open("1.json") as json_file:
    d = json.load(json_file)

result = ordered(d, desired_key_order)

f = open("new.json", "a")

f.write(json.dumps(result, indent=4))

f.close()

However, I also want to include a second level key:value pair (edition). I know I can define that key I need like this:

edition = d[‘custom_fields’][‘edition’]

But I don’t know how to add it to the top level.

Can anyone explain me how to do it? I’ve uploaded the sample data, including the script that works and the one that doesn’t to this GitHub repo.

Thanks in advance and my apologies if I use wrong terminology, I’m very new to this.

[sanity]

Could you add example how the result should look like in such case?

[FDL83]

Sure! The output I’m looking for is:

{
    "edition":  1,
    "name": "MTV Sharks #1",
    "description": "We are building the future together.",
    "image": "https://ipfs.infura.io/ipfs/QmWHBp5ogVWWugkCpBqLT8MygNr9ZJCXJfQi4oYWMqRR3W/1.png",
    "attributes": [
        {
            "trait_type": "Background",
            "value": "Shipwreck "
        },
        {
            "trait_type": "Color",
            "value": "Blueberry "
        },
        {
            "trait_type": "Spots",
            "value": "Spotted "
        },
        {
            "trait_type": "Base",
            "value": "Base"
        },
        {
            "trait_type": "Eyes",
            "value": "Stoned "
        },
        {
            "trait_type": "Eyebrow",
            "value": "Normal "
        },
        {
            "trait_type": "Mouth",
            "value": "Up Tooth "
        },
        {
            "trait_type": "Nose Area",
            "value": "Friendly Octopus "
        },
        {
            "trait_type": "Head",
            "value": "Flower Hat "
        },
        {
            "trait_type": "Wrist",
            "value": "MultiBot Treasure Chest "
        }
    ]
}

[sanity]

Great, thanks.

Looking at your code:

edition = d['custom_fields']['edition']

print(edition)  # 1

d.update(edition)

Problem is that update method expects either dict or iterable. While edition is just a single number here.

[FDL83]

I was able to solve it! Instead of trying to move the key, I created a new one and assigned the value for edition = d[‘custom_fields’][‘edition’] to it. I then rank them the way I did in the first post (replaced d with json_decoded):

import json
from collections import OrderedDict

for i in range(10000):

    filename = str(i)+".json"

    with open(filename) as json_file:
        json_decoded = json.load(json_file)

    edition = json_decoded['custom_fields']['edition']

    json_decoded.update({"edition":edition})

    with open(filename, 'w') as f:
        f.write(json.dumps(json_decoded, sort_keys=False, indent=4, separators=(',', ': ')))

    def ordered(d, key_order):
        
        return OrderedDict([(key, d[key]) for key in key_order])

    desired_key_order = ("edition", "name", "description", "image", "attributes")

    with open(filename) as json_file:
        d = json.load(json_file)

    result = ordered(d, desired_key_order)

    f = open("collection.json", "a")

    f.write(json.dumps(result, indent=4)+","+"\n")

    f.close()