DDLJ 0.0.3

JSON Utils for generating DDL from JSON Schema

JSON Utils Package (DDLj)

This is a python package having multiple utilities for handling JSON Files.

Module1 - DDLj : Converts JSON Schema Files into ANSI SQL DDLs Supports foll databases: A.PostgreSQL B.MYSQL C.DB2 D.MariaDB E.Oracle

Usage:

pip install DDLJ

python

from DDLj import genddl

genddl(*param1,param2,*param3,*param4)

Where

param1= JSON Schema File

param2=Database (Default Oracle)

Param3= Glossary file

Param4= DDL output script

Note : * indicates mandatory parameters

It also includes a Flask module for front-end if used as a standalone tool. Refer to App directory.

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Example:

Input JSON schema as: { "schema": "Http://Json-Schema.Org/Draft-07/Schema#", "type": "object", "title": "TableNameTest", "additionalProperties": false, "properties": { "ColumnNameOne": { "type": "string", "maxLength": 10 }, "ColumnNameTwo": { "type": "string", "format": "date-time" }, "ColumnNameThree": { "type": "string", "maxLength": 200 }, "ColumnNameFour": { "type": "string", "maxLength": 300 }, "ColumnNameFive": { "type": "string", "format": "date" }, "ColumnNameSix": { "type": "number" }, "ColumnNameSeven": { "type": "number" }, "ColumnNameEight": { "type": "string", "maxLength": 1000 }, "ColumnNameNine": { "type": "string", "maxLength": 2000 }, "ColumnNameTen": { "type": "number" } } }

Code Usage:

from DDLj import genddl genddl('TestJsonSchema.json','Oracle','GlossaryTestFile.csv','GenDDLGlossary.sql')

Output: Create Table TableNameTest (COL_NAM_One Varchar2(10), COL_NAM_Two Timestamp(6), COL_NAM_Three Varchar2(200), COL_NAM_Four Varchar2(300), COL_NAM_Five Date, COL_NAM_Six Number(38,10), COL_NAM_Seven Number(38,10), COL_NAM_Eight Varchar2(1000), COL_NAM_Nine Varchar2(2000), COL_NAM_Ten Number(38,10));

Please see the Test Folder for JSON schema, glossary file and output.

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Note: Other modules to come soon.