Python Laravel Analyzer

This project is a Python script that analyzes Laravel projects to generate training data for fine-tuning AI models. It dynamically selects a Laravel project folder via a file browser, processes PHP and Blade files, and creates precise questions and corresponding code snippets for code suggestion tasks.

Features

• Dynamic folder selection using a GUI file browser.
• Analysis of Laravel routes, controllers, models, views, and migrations.
• Generation of precise questions for code completion and modification.
• Output saved as JSONL for easy integration with machine learning models.

Prerequisites

• Python 3.x
• No external dependencies required (uses built-in tkinter).

Installation

1. Clone this repository:

   git clone https://github.com/dmunasingha/GenerateTrainingData
   

   cd GenerateTrainingData
   

2. Ensure Python is installed on your system.

Usage

1. Run the script:

   python main.py
   

2. Use the file browser to select your Laravel project folder (e.g., "D:/AjanthaPayrollSystem").

3. The script will process the files and save the training data as model_training_data.jsonl in the selected folder.

Project Structure

• src/: Contains core modules for analysis, question generation, and file handling.
• main.py: Entry point with file browser.
• requirements.txt: Dependency list (currently empty).
• .gitignore: Ignores compiled files and generated data.
• README.md: This file.
• LICENSE: License information.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please open an issue or pull request on GitHub.