Extract metadata from a deserialized JSON.
Project description
meta_json
Given a JSON response as a dictionary, extract the metadata such as its structure and data model.
Introduction
This package is intended to help with JSON analysis by extracting its metadata and ease the data modeling tasks regularly used in design of databases, data catalogs, data warehouses, APIs, etc.
Installation
This package is available in PyPI and GitHub. Just run:
pip install meta-json
Or clone the repository:
git clone https://github.com/juangcr/meta_json.git cd meta_json python setup.py install
Usage
from meta_json import MetaJson
your_json_data_as_dict = {
"name": "John Doe",
"contact": "john_doe@mail.net",
"status": {
"start_date": "1970-01-01",
"active": "true",
"credits": {
"due": 10,
"remaining": 90
}
}
}
meta = MetaJson(your_json_data_as_dict)
meta.types # Returns every data type available.
{ "name": "str", "contact": "str", "status": { "start_date": "datetime", "active": "str", "credits": { "due": "int", "remaining": "int" } } }
meta.attributes # Returns a list with the main keys and all subkeys.
[ [ "name", "contact", "status" ], [ "start_date", "active", "credits", "due", "remaining" ] ]
meta.layers # Returns all keys grouped by layer depth.
{ "layer_0" :[ "name", "contact", "status" ], "layer_1": [ "start_date", "active", "credits" ], "layer_2": [ "due", "remaining" ] ]
