json-queries 0.1.15

Translates Django ORM query system to json objects

json-queries

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-queries

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

# executing within docker

```docker build -t json-queries .``` To build the image
```docker run --name json-queries -it json-queries``` To run a new container instance of the image
```docker start json-queries``` To run the container, if it is stopped
```docker exec -it json-queries ipython --profile=template``` Open an Ipython session in a running container

# utils
```docker images -a | tail -n +2 | wc -l``` Count the total number of docker images