Check out this python library jsondiff , that will help you to identify the diff's

import json

import jsondiff

json1 = json.loads(
    '{"isDynamic": false, "name": "", "value": "SID:<sid>", "description": "instance","argsOrder": 1,"isMultiSelect": false}')

json2 = json.loads(
    '{ "name": "", "value": "SID:<sid>","isDynamic": false, "description": "instance","argsOrder": 1,"isMultiSelect": false}')

res = jsondiff.diff(json1, json2)
if res:
    print("Diff found")
else:
    print("Same")
Answer from Jenish on Stack Overflow
🌐
PyPI
pypi.org › project › json-diff
json-diff · PyPI
Compares two JSON files (http://json.org) and generates a new JSON file with the result.
      » pip install json-diff
    
Published   Aug 25, 2019
Version   1.5.0
🌐
GitHub
github.com › xlwings › jsondiff
GitHub - xlwings/jsondiff: Diff JSON and JSON-like structures in Python · GitHub
>>> d = diff({'a': 1, 'delete': 2}, {'b': 3, 'delete': 4}) >>> d {'delete': 4, 'b': 3, delete: ['a']} >>> d[jd.delete] ['a'] >>> d['delete'] 4 # Alternatively, you can use marshal=True to get back strings with a leading $ >>> diff({'a': 1, 'delete': ...
Starred by 746 users
Forked by 89 users
Languages   Python
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PyPI
pypi.org › project › jsondiff
jsondiff · PyPI
>>> diff({'a': [0, {'b': 4}, 1]}, {'a': [0, {'b': 5}, 1]}) {'a': {1: {'b': 5}}} # You can exclude some jsonpaths from the diff (doesn't work if the value types are different) >>> diff({'a': 1, 'b': {'b1': 20, 'b2': 21}, 'c': 3}, {'a': 1, 'b': ...
      » pip install jsondiff
    
Published   Aug 29, 2024
Version   2.2.1
Top answer
1 of 3
21

Check out this python library jsondiff , that will help you to identify the diff's

import json

import jsondiff

json1 = json.loads(
    '{"isDynamic": false, "name": "", "value": "SID:<sid>", "description": "instance","argsOrder": 1,"isMultiSelect": false}')

json2 = json.loads(
    '{ "name": "", "value": "SID:<sid>","isDynamic": false, "description": "instance","argsOrder": 1,"isMultiSelect": false}')

res = jsondiff.diff(json1, json2)
if res:
    print("Diff found")
else:
    print("Same")
2 of 3
6

UPDATED: See https://eggachecat.github.io/jycm-json-diff-viewer/ for a live demo! Now it has a JS-native implementation.

Affiliation: I am the author of this lib.

Yes! You can diff it with jycm which has a rendering tool out of the box.

It uses LCS, Edit distance and Kuhn–Munkres to diff arrays.

Here's an universal example with set in set and value changes in some set

from jycm.helper import make_ignore_order_func
from jycm.jycm import YouchamaJsonDiffer

left = {
    "set_in_set": [
        {
            "id": 1,
            "label": "label:1",
            "set": [
                1,
                5,
                3
            ]
        },
        {
            "id": 2,
            "label": "label:2",
            "set": [
                4,
                5,
                6
            ]
        }
    ]
}

right = {
    "set_in_set": [
        {
            "id": 2,
            "label": "label:2",
            "set": [
                6,
                5,
                4
            ]
        },
        {
            "id": 1,
            "label": "label:1111",
            "set": [
                3,
                2,
                1
            ]
        }
    ]
}

ycm = YouchamaJsonDiffer(left, right, ignore_order_func=make_ignore_order_func([
    "^set_in_set$",
    "^set_in_set->\\[\\d+\\]->set$"
]))

ycm.diff()

expected = {
    'list:add': [
        {'left': '__NON_EXIST__', 'right': 2, 'left_path': '', 'right_path': 'set_in_set->[1]->set->[1]'}
    ],
    'list:remove': [
        {'left': 5, 'right': '__NON_EXIST__', 'left_path': 'set_in_set->[0]->set->[1]', 'right_path': ''}
    ],
    'value_changes': [
        {'left': 'label:1', 'right': 'label:1111', 'left_path': 'set_in_set->[0]->label',
         'right_path': 'set_in_set->[1]->label', 'old': 'label:1', 'new': 'label:1111'}
    ]
}

assert ycm.to_dict(no_pairs=True) == expected

you can set no_pairs=False to get the all pairs. Here's a rendered example:

As for the example here, you can use it as:

from jycm.helper import make_ignore_order_func
from jycm.jycm import YouchamaJsonDiffer

left = {
    "data": [{"x": 1, "y": 2}, {"x": 3, "y": 4}]
}

right = {
    "data": [{"x": 3, "y": 4}, {"x": 1, "y": 2}]
}

ycm = YouchamaJsonDiffer(left, right, ignore_order_func=make_ignore_order_func([
    "^data",
]))

ycm.diff()

assert ycm.to_dict(no_pairs=True) == {}

Bonus, you the values are interrupted as coordinates on plain, you can even define a operator to determine whether two points should be matched!(Then comparing their values)

Here's the code:

from typing import Tuple

from jycm.helper import make_ignore_order_func
from jycm.jycm import YouchamaJsonDiffer
from jycm.operator import BaseOperator
import math

left = {
    "data": [
        {"x": 1, "y": 1},
        {"x": 10, "y": 10},
        {"x": 100, "y": 100}
    ]
}

right = {
    "data": [
        {"x": 150, "y": 150},
        {"x": 10, "y": 11},
        {"x": 2, "y": 3}
    ]
}


class L2DistanceOperator(BaseOperator):
    __operator_name__ = "operator:l2distance"
    __event__ = "operator:l2distance"

    def __init__(self, path_regex, distance_threshold):
        super().__init__(path_regex=path_regex)
        self.distance_threshold = distance_threshold

    def diff(self, level: 'TreeLevel', instance, drill: bool) -> Tuple[bool, float]:
        distance = math.sqrt(
            (level.left["x"] - level.right["x"]) ** 2 + (level.left["y"] - level.right["y"]) ** 2
        )
        info = {
            "distance": distance,
            "distance_threshold": self.distance_threshold,
            "pass": distance < self.distance_threshold
        }

        if not drill:
            instance.report(self.__event__, level, info)
            return False, 1 if info["pass"] else 0
        return True, 1 if info["pass"] else 0


ycm = YouchamaJsonDiffer(left, right, ignore_order_func=make_ignore_order_func([
    "^data$",
]), custom_operators=[
    L2DistanceOperator("^data->\\[.*\\]$", 10),
])

ycm.diff()

expected = {
    'just4vis:pairs': [
        {'left': 1, 'right': 2, 'left_path': 'data->[0]->x', 'right_path': 'data->[2]->x'},
        {'left': {'x': 1, 'y': 1}, 'right': {'x': 2, 'y': 3}, 'left_path': 'data->[0]',
         'right_path': 'data->[2]'},
        {'left': 1, 'right': 3, 'left_path': 'data->[0]->y', 'right_path': 'data->[2]->y'},
        {'left': {'x': 1, 'y': 1}, 'right': {'x': 2, 'y': 3}, 'left_path': 'data->[0]',
         'right_path': 'data->[2]'},
        {'left': {'x': 1, 'y': 1}, 'right': {'x': 2, 'y': 3}, 'left_path': 'data->[0]',
         'right_path': 'data->[2]'}
    ],
    'list:add': [
        {'left': '__NON_EXIST__', 'right': {'x': 150, 'y': 150}, 'left_path': '', 'right_path': 'data->[0]'}
    ],
    'list:remove': [
        {'left': {'x': 100, 'y': 100}, 'right': '__NON_EXIST__', 'left_path': 'data->[2]', 'right_path': ''}
    ],
    'operator:l2distance': [
        {'left': {'x': 1, 'y': 1}, 'right': {'x': 2, 'y': 3}, 'left_path': 'data->[0]',
         'right_path': 'data->[2]', 'distance': 2.23606797749979, 'distance_threshold': 10,
         'pass': True},
        {'left': {'x': 10, 'y': 10}, 'right': {'x': 10, 'y': 11}, 'left_path': 'data->[1]',
         'right_path': 'data->[1]', 'distance': 1.0, 'distance_threshold': 10,
         'pass': True}
    ],
    'value_changes': [
        {'left': 1, 'right': 2, 'left_path': 'data->[0]->x', 'right_path': 'data->[2]->x', 'old': 1, 'new': 2},
        {'left': 1, 'right': 3, 'left_path': 'data->[0]->y', 'right_path': 'data->[2]->y', 'old': 1, 'new': 3},
        {'left': 10, 'right': 11, 'left_path': 'data->[1]->y', 'right_path': 'data->[1]->y', 'old': 10, 'new': 11}
    ]
}
assert ycm.to_dict() == expected

As you can see jycm report addition and remove for points {'x': 150, 'y': 150} and {'x': 100, 'y': 100} for their distances are too far (more than 10) and value-change for the other two points.

P.S. RENDERER DEMO

🌐
JSON Diff
jsondiff.com
JSON Diff - The semantic JSON compare tool
Validate, format, and compare two JSON documents. See the differences between the objects instead of just the new lines and mixed up properties.
🌐
GitHub
github.com › cpatrickalves › json-diff
GitHub - cpatrickalves/json-diff: A Python script that compares two JSON files and shows their differences.
#> python json_diffs.py examples\file01.json examples\file02.json The values in object ID are different: SGML != SL The values in object GlossTerm are different: Standard Generalized Markup Language != Standard Generalized Language The values in object Abbrev are different: ISO 8879:1986 != ISO 8559:1986 The values in object GlossSeeAlso are different: ['GML', 'XML'] != ['JSO', 'XML'] The data is different
Author   cpatrickalves
🌐
Snyk
snyk.io › advisor › jsondiff › functions › jsondiff.diff
How to use the jsondiff.diff function in jsondiff | Snyk
else: data_b = read_json(args.... and "$delete" # marshal=True removes any special types, allowing to be dumped as json result = diff(data_a, data_b, marshal=True, syntax="symmetric") if result: # Dictionary is not empty - print differences print(json.dumps(result, ...
🌐
Deviloper's Blog
deviloper.in › advanced-json-diff-checker-in-python-an-in-depth-guide
Advanced JSON Diff Checker in Python: An In-Depth Guide
September 9, 2024 - Now that we have our advanced JSON diff checker code in place, it's time to put it to the test. We'll use our sample JSON objects, json_obj1 and json_obj2, to see how our checker performs and how it helps us identify differences between them. ... Copy the entire code example provided in the previous section and run it in your Python environment.
Find elsewhere
🌐
Packetcoders
packetcoders.io › diff-ing-the-network-jsondiff-part-2
Diff`ing the Network (jsondiff) - Part 2
November 22, 2021 - import jsondiff as jd deleted_arps_symmetric = arp_diff['interfaces'].get(jd.delete) rprint(deleted_arps_symmetric) === { 'Ethernet1/1': { 'ipv4': { 'neighbors': { '10.1.1.2': {'ip': '10.1.1.2', 'link_layer_address': '5000.0009.0000', 'physical_interface': 'Ethernet1/1', 'origin': 'dynamic', 'age': '00:00:09'} } } } } Now we have the details of our missing ARP entry as a Python dictionary, we can use it to perform further actions.
🌐
GeeksforGeeks
geeksforgeeks.org › how-to-compare-json-objects-regardless-of-order-in-python
How to compare JSON objects regardless of order in Python? - GeeksforGeeks
January 24, 2021 - Objects are compared based on their memory references, so even if two objects have the same properties and values, they are considered distinct if they are stored in different memory locations. Below are the various approaches to co ... Returning a JSON object from a Python function involves converting Python data (like dictionaries or lists) into a JSON-formatted string or response, depending on the use case. For example, if you're working with APIs, you might return a JSON response using frameworks like Flask.
🌐
Delft Stack
delftstack.com › home › howto › python › python json diff
How to Compare Multilevel JSON Objects Using JSON Diff in Python | Delft Stack
February 2, 2024 - In the following code, we used the third-party library jsondiff to find whether the two objects are the same or not. To be more specific, we used the function jsondiff.diff(), passing our JSON objects named obj1 and obj2.
🌐
pytz
pythonhosted.org › opslib › icsutils › jsondiff.html
IcsUtils.JsonDiff Common Library — OpsLib Library alpha documentation
"members": { ... "role": "devops", ... "group": [ "devops" ] ... } ... } >>> json.dump(old_json, open("old.json", "w")) >>> json.dump(new_json, open("new.json", "w")) >>> fp_old = open("old.json", "r") >>> fp_new = open("new.json", "r") >>> engine = Comparator(fp_old, fp_new) >>> res = engine.compare_dicts() >>> print json.dumps(res, sort_keys=True, indent=4) { "members": { "group": { "0": { "+++": "devops", "---": "ops" }, "1": { "---": "devops" } }, "role": { "+++": "devops", "---": "ops" } }, "version": { "+++": "1.3.0", "---": "1.2.0" } }
🌐
Medium
medium.com › @abedmaatalla › compare-two-json-objects-python-c2f763c943b0
Compare two JSON objects (Python) | by Abed MAATALLA | Medium
August 4, 2022 - Programmatically, one can write ... very difficult if we don’t know how nested the json is. But, we don’t really have to worry of writing code and all, This is where deepdiff comes in handy. Deepdiff is a powerful python library to compare 2 dictionaries. What makes it powerful is that, during the comparison, deepdiff does not consider the order in which the elements inside the dictionaries are present. Let’s see deepdiff in action : ... Consider below example, jsn_1 contains ...
🌐
Medium
medium.com › @ssspidersilk › debugging-with-deepdiff-deep-differences-in-python-json-dicts-objects-51b5647d4ea9
Debugging with DeepDiff: Deep Differences in Python JSON, Dicts, & Objects | by Jerry | Medium
April 22, 2023 - As we can see, DeepDiff has identified the differences between the two JSON objects, including changes in values and added or removed dictionary items. Another common use case for DeepDiff is comparing database records. Let’s say you have two database records that you want to compare: import sqlite3 from deepdiff import DeepDiff conn = sqlite3.connect('example.db') c = conn.cursor() c.execute("INSERT INTO users (name, age) VALUES ('John', 30)") c.execute("INSERT INTO users (name, age) VALUES ('Jane', 25)") conn.commit() c.execute("SELECT * FROM users WHERE name='John'") record1 = c.fetchone() c.execute("SELECT * FROM users WHERE name='Jane'") record2 = c.fetchone() diff = DeepDiff(record1, record2) print(diff)
🌐
PyPI
pypi.org › project › jsoncomparison
jsoncomparison · PyPI
from jsoncomparison import Compare, NO_DIFF expected = { # ... } actual = { # ... } rules = { "project": { "version": "*", "license": "*", "language": { "versions": { "_values": [ 3.5 ] } } }, "os": "*", } diff = Compare(rules=rules).check(expected, actual) assert diff == NO_DIFF · Now that we have added exceptions to the missing values, the comparison test has been successfully passed! You can see a more complex comparison example that I used to test the correct operation of an application: link.
      » pip install jsoncomparison
    
Published   May 17, 2021
Version   1.1.0
🌐
GitHub
github.com › python273 › prettydiff
GitHub - python273/prettydiff: Diff parsed JSON objects and pretty-print it
prettydiff - diff parsed JSON objects and pretty-print it ... from prettydiff import print_diff a = {"a": "hello", "b": True, "c": [1, 3], "d": {"e": {"f": 1}}} b = {"a": "world", "b": False, "c": [1, 2, 3]} # to enable colors: $ python3 -m ...
Author   python273
🌐
Reddit
reddit.com › r/learnpython › best way to diff two json files and write differences data to third file?
r/learnpython on Reddit: Best way to diff two JSON files and write differences data to third file?
August 20, 2017 -

Hi all,

I'm trying to write my first python script and I can't work out the best way to diff two JSON files and write the difference to a third.

I've managed to get the script to find differences, but only in entire lines. I want it to either treat it as a JSON, or compare any and all changes, regardless of the line.

Here it is:

a = open('markets.json', 'r').read().split('\n')
b = open('updatemarkets.json', 'r').read().split('\n')
c = open('newpairs.json', 'w')
c.write('\n'.join([comm for comm in b if not (comm in a)]))
c.close()

Obviously the above just duplicates the entire file if any changes are found (as the data is treated as one line).

edit: formatting

edit: this is the data for reference: https://bittrex.com/api/v1.1/public/getmarkets

edit: Difflib doesn't allow you to save the output as it's original format, or create a "patch" like file (in the style of bash's diff/patch). Still looking for a solution!

edit: Maybe a better question is, is it possible to separate JSON objects with a new line at the time of import (json.dump)?

edit: Found how to import the data with a new line using json.dump(data, f, indent=4), but still can't find a way to output the difference between the files.

🌐
Reddit
reddit.com › r/learnpython › diff two large json array or objects
r/learnpython on Reddit: Diff two large JSON array or objects
February 26, 2022 -

I have a Python lambda function downloading a large excel file and converting it to JSON.

This file will be downloaded at least once a day (as the data can change)

I need to push the changed/updated data to an API.

Is there a way for me to compare two JSON files and output the diff?

It would be perfect if it would output multiple arrays of objects.

1 array of objects that have changed (I don’t care what has changed, just need to know that it has)

1 array of removed/deleted objects.

Top answer
1 of 1
4
Yes Firstly you have to load json data in python dictionary using json module/package After that jsondiff module/package help you check different This module/package also compare list,set,etc.👌 If will return empty dictionary {} if there is no different👍 import jsondiff oldJson = {1:"a",2:"b",3:"c"} newJson = {1:1,4:4} r = jsondiff.diff(oldJson,newJson) if r : print(r) else: print("404,No Different Found!") Output: {1: 1, 4: 4, delete: [2, 3]} 😀 json.diff take 1st arg oldJson means from which we are checking different & 2nd newJson. There are 3 syntax 🎲 : compact ( default ) Any Change in Value of key & new insrted key will display normaly symmetric Inserted & delete show differently change show normally explicit 👀 It is detailed Inserted Deleted Changed Show differently import jsondiff oldJson = {1:"a",2:"b",3:"c"} newJson = {1:1,4:4} r = jsondiff.diff(oldJson,newJson,syntax="explicit") if r: print(r) else: print("404,No Different Found!") Output : {insert: {4: 4}, update: {1: 1}, delete: [2, 3]} 😃 Finally 🔥,Now you doubt about how to access them You can access them using symbols eg. r[jsondiff.symbols.insert] OR from jsondiff import symbols r[symbols.insert] There are some other symbols which use in different compare like list,set, etc Note : if you try using insert in compact & update in compact & symmetric then you will get KeyError 😔 because those not exist there import jsondiff from jsondiff import symbols oldJson = {1:"a",2:"b",3:"c"} newJson = {1:1,4:4} r = jsondiff.diff(oldJson,newJson,syntax="explicit") if r: print("Deleted keys are ",r[symbols.delete]) else: print("404,No Different Found!") Output : Deleted keys are [2, 3] 🥳 Thanks for reading 😂
🌐
Substack
codefaster.substack.com › p › json-toolkit-json-diff
json-diff - by Tyler Adams - CodeFaster
December 29, 2020 - In this post, we’ll explore json-diff (a tool from my json-toolkit), how to use it and how to write programs that use its output.
🌐
CloudDefense.ai
clouddefense.ai › code › python › example › jsondiff
Top 10 Examples of jsondiff code in Python
def test_long_arrays(self): size = 100 a = [{'a': i, 'b': 2 * i} for i in range(1, size)] b = [{'a': i, 'b': 3 * i} for i in range(1, size)] r = sys.getrecursionlimit() sys.setrecursionlimit(size - 1) try: diff(a, b) except RecursionError: self.fail('cannot diff long arrays') finally: sys.setrecursionlimit(r) ... else: data_b = read_json(args.filename_b) # Ignore keys that we don't want to diff, in addition to the ones removed that change on every commit remove_keys(data_a, KEYS_REMOVE.union(KEYS_IGNORE)) remove_keys(data_b, KEYS_REMOVE.union(KEYS_IGNORE)) remove_specifics(data_a) remove_speci