Human JSON
human_json
is a simple python library, that can take a JSON Object, and create a pretty string for that object.
JSON is easy to transport, and quite easy to read, but requires some form of prior training to properly understand it.
This library allows one to transform JSON Objects into an easier to read format
Example
The following Python dictionary (which can represent a JSON Object):
{
'className': 'ComputerScience',
'classId': 2020,
'assignments': {
'assignment1': {
'average_grade': 5.5,
'description': 'Complete Assignment 1',
'grades': [5, 5, 5, 7]
},
'assignment2': {
'average_grade': None,
'description': 'Complete Assignment 2',
'grades': ()
}
},
'students': ('student1', 'student2', 'studentabc', 2019, None, 10.5),
}
turns into the following pretty string:
className: ComputerScience
classId: 2020
assignments:
assignment1:
average_grade: 5.5
description: Complete Assignment 1
grades:
5
5
5
7
assignment2:
average_grade: None
description: Complete Assignment 2
grades:
-
students:
student1
student2
studentabc
2019
None
10.5
Custom Prefixes
You can also specify an optional prefix, that will be prefixed to each line. A possible prefix is "* ".
Using this prefix, will return a markdown list. This can be directly copy-pasted into a markdown file, for example:
* className: ComputerScience
* classId: 2020
* assignments:
* assignment1:
* average_grade: 5.5
* description: Complete Assignment 1
* grades:
* 5
* 5
* 5
* 7
* assignment2:
* average_grade: None
* description: Complete Assignment 2
* grades:
* -
* students:
* student1
* student2
* studentabc
* 2019
* None
* 10.5
Custom Indentations
You can also specify a custom indentation. The default is "\t"
, but you can specify " "
or even a number of spaces.
Below is an example using 2
:
className: ComputerScience
classId: 2020
assignments:
assignment1:
average_grade: 5.5
description: Complete Assignment 1
grades:
5
5
5
7
assignment2:
average_grade: None
description: Complete Assignment 2
grades:
-
students:
student1
student2
studentabc
2019
None
10.5