mockmaster 0.0.1

A CLI tool to generate dummy data

## Welcome to MockMaster

A CLI tool to generate dummy data in various formats using GPT ,designed to meet diverse needs of software engineers . It can be used to bootstrap your database , serve dummy data to test out your frontend etc..

## Table of contents - [Features](#features) - [Basic Usage](#basic-usage) - [Authors](#authors) - [To-dos](#to-dos)

## Features - :books: Generate data in json or csv format ( more will be added) - :toolbox: Generate data for dynamic fields with no fixed vocabulary. - :mirror: Generate json that follows json schema data fromat. - :lock: Store output in specified path.

## What’s Unique and better - :smile: Usage of GPT for dummy data generation - :smiley: No pre built dictionary for fixed set of keys and values - :sweat_smile: Data generation follows json schema and generated datafrom gpt is validated to make ouput more reliable

## What’s not good - :roll_eyes: Json or csv generated with field inputs may have no linking for all fields ex- email generated will not match with first name or last name - :expressionless: only openAI GPT is supported for now - :roll_eyes: only json and csv is supported

## Basic Usage

### Step 1: Installation

#### Installing from source

` git clone https://github.com/deepukr007/mockmaster.git cd mockmaster `

### Step 2: ` pip install . `

### Step 3: Set or edit openAI API key and store it in .env file ` mockmaster init `

### Step 4:

Example 1: Json with fields ` mockmaster generate json name place age zip_code --limit 10 `

Example 2: Json with schema ` mockmaster generate json --schema --path <path_to_schema> `

Example 3: ` mockmaster generate csv name place age zip_code --limit 10 -o <output_path> `

### To-dos - Add support to other llms - Change stratergy to store API keys - Python SDK like faker

#### Authors - Deepu Krishnareddy - Harish Mohan