Mock CSV Generator

Mock CSV Generator is a desktop application, developed in Python and Tkinter, that allows you to create custom CSV files based on user-defined configurations. It's ideal for generating mock data for testing and prototyping.

Features

1. Custom CSV Generation:

   • Configure columns with custom headers and values.
   • Define the number of rows to generate.

2. Configuration Management:

   • Save Configurations: Save the current configuration (headers and column values) to a JSON file.
   • Load Configurations: Load previously saved configurations from a JSON file or the DATA_CONFIG.py module.
   • Clear Configurations: Reset all columns to their initial state.

3. User-Friendly GUI:

   • Intuitive interface built with Tkinter.
   • Supports up to 8 configurable columns.

How It Works

1. Column Configuration:

   • Add a header for each column.
   • Populate possible values for each column.

2. CSV Generation:

   • Enter the desired number of rows.
   • Click "Generate CSV" to create the mokup-00.csv file in the same directory as the program.

3. Configuration Management:

   • Use the "Configuration" menu to save or load your settings:
     • "Load from JSON" to load from the JSON file.
     • "Load from DATA_CONFIG.py" to load from a Python module (if available).
     • "Save Configuration" to save the current setup.
     • "Clear All" to reset all configurations.

How to Run

1. Prerequisites:

   • Python 3.8 or higher.
   • Standard libraries (tkinter, json, csv).

2. Execution:

   • Download the code.
   • Run the main.py file:

     python main.py

3. Generated Files:

   • Saved configurations will be stored in column_config.json.
   • The generated CSV file will be saved as mokup-00.csv.

Technologies Used

• Python 3.13.1: Logic and backend.
• Tkinter: Simple and responsive graphical interface.

Project Structure

• main.py: Main application code.
• column_config.json: (optional) Stores user-saved configurations.
• DATA_CONFIG.py: (optional) Allows loading custom configurations via a Python module.

Autor

• Developer: Hipolito Rodrigues
• Creation Date: 01/23/2025
• Last Update: 02/08/2025
• Current Version: 1.3.5

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License

This project is licensed under the CC0 1.0 Universal (Public Domain) license. This means you can copy, modify, distribute, and perform the work, even for commercial purposes, all without asking permission.