Convert json file to object python

JSON to python object

The follwing code creates dynamic attributes with the objects keys recursively.

JSON object - fb_data.json:

{
    "name": "John Smith",
    "hometown": {
        "name": "New York",
        "id": 123
    },
    "list": [
        "a",
        "b",
        "c",
        1,
        {
            "key": 1
        }
    ],
    "object": {
        "key": {
            "key": 1
        }
    }
}

On the conversion we have 3 cases:

• lists
• dicts (new object)
• bool, int, float and str

import json


class AppConfiguration(object):
    def __init__(self, data=None):
        if data is None:
            with open("fb_data.json") as fh:
                data = json.loads(fh.read())
        else:
            data = dict(data)

        for key, val in data.items():
            setattr(self, key, self.compute_attr_value(val))

    def compute_attr_value(self, value):
        if isinstance(value, list):
            return [self.compute_attr_value(x) for x in value]
        elif isinstance(value, dict):
            return AppConfiguration(value)
        else:
            return value


if __name__ == "__main__":
    instance = AppConfiguration()

    print(instance.name)
    print(instance.hometown.name)
    print(instance.hometown.id)
    print(instance.list[4].key)
    print(instance.object.key.key)

Now the key, value pairs are attributes - objects.

output:

John Smith
New York
123
1
1

Paste JSON as Code

Supports TypeScript, Python, Go, Ruby, C#, Java, Swift, Rust, Kotlin, C++, Flow, Objective-C, JavaScript, Elm, and JSON Schema.

• Interactively generate types and (de-)serialization code from JSON, JSON Schema, and TypeScript
• Paste JSON/JSON Schema/TypeScript as code

quicktype infers types from sample JSON data, then outputs strongly typed models and serializers for working with that data in your desired programming language.

output:

# Generated by https://quicktype.io
#
# To change quicktype's target language, run command:
#
#   "Set quicktype target language"

from typing import List, Union


class Hometown:
    name: str
    id: int

    def __init__(self, name: str, id: int) -> None:
        self.name = name
        self.id = id


class Key:
    key: int

    def __init__(self, key: int) -> None:
        self.key = key


class Object:
    key: Key

    def __init__(self, key: Key) -> None:
        self.key = key


class FbData:
    name: str
    hometown: Hometown
    list: List[Union[Key, int, str]]
    object: Object

    def __init__(self, name: str, hometown: Hometown, list: List[Union[Key, int, str]], object: Object) -> None:
        self.name = name
        self.hometown = hometown
        self.list = list
        self.object = object

This extension is available for free in the Visual Studio Code Marketplace.

The full-form of JSON is JavaScript Object Notation. It means that a script (executable) file which is made of text in a programming language, is used to store and transfer the data. Python supports JSON through a built-in package called json. To use this feature, we import the json package in Python script. The text in JSON is done through quoted-string which contains the value in key-value mapping within { }.
 

Reading From JSON

It’s pretty easy to load a JSON object in Python. Python has a built-in package called json, which can be used to work with JSON data. It’s done by using the JSON module, which provides us with a lot of methods which among loads() and load() methods are gonna help us to read the JSON file.
 

Deserialization of JSON

The Deserialization of JSON means the conversion of JSON objects into their respective Python objects. The load()/loads() method is used for it. If you have used JSON data from another program or obtained as a string format of JSON, then it can easily be deserialized with load()/loads(), which is usually used to load from string, otherwise, the root object is in list or dict. See the following table given below.
 

json.load(): json.load() accepts file object, parses the JSON data, populates a Python dictionary with the data and returns it back to you.
 

Syntax:

json.load(file object)

Example: Suppose the JSON file looks like this:

We want to read the content of this file. Below is the implementation.

Python3

import json

f = open('data.json')

data = json.load(f)

for i in data['emp_details']:

    print(i)

f.close()

Output:

json.loads(): If you have a JSON string, you can parse it by using the json.loads() method.json.loads() does not take the file path, but the file contents as a string, using fileobject.read() with json.loads() we can return the content of the file.
 

Syntax:

json.loads(jsonstring) #for Json string

json.loads(fileobject.read()) #for fileobject

Example: This example shows reading from both string and JSON file. The file shown above is used.

Python3

import json

a = '{"name": "Bob", "languages": "English"}'

y = json.loads(a)

print("JSON string = ", y)

print()

f = open ('data.json', "r")

data = json.loads(f.read())

for i in data['emp_details']:

    print(i)

f.close()

Output:

What converts .JSON file into a Python object?

How can I convert JSON to object?

Can you convert JSON to Python?

How do you parse a JSON object in Python?