Sort JSON object using json.dumps()

 # Import the JSON module

import json

# Array of JSON Objects
products = [{"name": "HDD", "brand": "Samsung", "price": 100},
            {"name": "Monitor", "brand": "Dell", "price": 120},
            {"name": "Mouse", "brand": "Logitech", "price": 10}]

# Read and print the original data
print("The original data:\n{0}".format(products))
# Convert into the JSON object after sorting
sorted_json_data = json.dumps(products, sort_keys=True)
# Print the sorted JSON data
print("The sorted JSON data based on the keys:\n{0}".format(sorted_json_data))

from: https://linuxhint.com/sort-json-objects-python/

How to convert Nonetype to int or string?

 int(value or 0)

from: https://stackoverflow.com/questions/3930188/how-to-convert-nonetype-to-int-or-string

how to dynamically create an instance of a class in python?

 all you will need to do is

klass = globals()["class_name"]
instance = klass()

from: https://stackoverflow.com/questions/3451779/how-to-dynamically-create-an-instance-of-a-class-in-python

Python mock multiple return values

Answer #1:

You can assign an iterable to side_effect, and the mock will return the next value in the sequence each time it is called:

>>> from unittest.mock import Mock
>>> m = Mock()
>>> m.side_effect = ['foo', 'bar', 'baz']
>>> m()
'foo'
>>> m()
'bar'
>>> m()
'baz'

from: https://www.py4u.net/discuss/16628 

Check if a given key already exists in a dictionary and increment it

 I prefer to do this in one line of code.

my_dict = {}

my_dict[some_key] = my_dict.get(some_key, 0) + 1

from: https://stackoverflow.com/questions/473099/check-if-a-given-key-already-exists-in-a-dictionary-and-increment-it

Getting the class name of an instance?

 Do you want the name of the class as a string?

instance.__class__.__name__

from: https://stackoverflow.com/questions/510972/getting-the-class-name-of-an-instance

madzak / python-json-logger

 

Overview

This library is provided to allow standard python logging to output log data as json objects. With JSON we can make our logs more readable by machines and we can stop writing custom parsers for syslog type records.

from: https://github.com/madzak/python-json-logger#using-a-config-file