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Translates Django ORM query system to json objects

Project description

json-enhanced

Nowadays, communication between API infrastructures commonly uses JSON data.

This library aims to emulate the behavior of the Django ORM, exporting such functionality to JSON objects.

Installation

pip install json-enhanced

Simple case of use

>> import jsonutils as js
   from datetime import datetime

>> json_data = js.JSONObject(
    {
        "data": [
            {
                "name": "Dan",
                "birthday": "1991-01-02 09:00:00",
                "publications": 15
            },
            {
                "name": "Mar",
                "birthday": "1991-03-02 12:30:00",
                "publications": 13
            },
            {
                "name": "Carl",
                "birthday": "1950-06-02 16:00:00",
                "publications": 36
            },
            {
                "name": "Vic",
                "birthday": "1986-07-02 16:00:00",
                "publications": None
            },
        ]
    }
)

# now we can navegate through this object by attribute accesion

>> json_data.data._1.name
    'Mar'

# or we can make queries as django's ORM

>> result = json_data.query(birthday__lt=datetime(1985,1,1))

>> result
    <QuerySet ['1950-06-02 16:00:00']>

>> result.first().parent
    {'name': 'Carl', 'birthday': '1950-06-02 16:00:00', 'publications': 36}

# retrieving the path of a node object

>> result.first().jsonpath
    data/2/

# testing environment

We have developed a Docker container with all the configuration options, modules and variables already setted up, so that you can test the behaviour of the package, just by typing:

```bash build.sh```
Then, on Ipython terminal, you can access `test` variable with some json data, or create new a JSONObject

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