json-rm

This tool parses a JSON Schema into "Entities" and "Attributes", which correspond to tables and columns in a relational database. It can be used to output different representations of the data model described by the input schema.

Installation

pip install json-rm

Command line usage

jst <command> <schema_path>

Examples

Use the 'simple' formatter on a schema:

$ jst simple resources/schemas/1.2.246.537.6.1506.7000.2022.1.10.json

Use the 'postgres' formatter on a schema:

$ jst postgres resources/schemas/1.2.246.537.6.1506.7000.2022.1.10.json

Use the 'spark' formatter on a schema:

$ jst spark resources/schemas/1.2.246.537.6.1506.7000.2022.1.10.json

Using from your Python code

import json_rm
from json_rm.formatters import SimpleFormatter

schema = json_rm.JSONSchema.from_file("schema.json")
formatter = SimpleFormatter()

print(schema.render(formatter))

Parsing options

normalization

• Denormalized (default) mode results in a flat structure with less tables.
• Normalized mode results in a deep structure with more tables.

When normalization is set to False (default), the parser operates in "denormalized" mode, creating a new Entity only for the root object and repeating (array) objects. In the "normalized mode, a separate Entity is created for each nested structure (JSON objects and arrays).