RepoGenius

This project, developed as part of the Distributed Systems Engineering course in the Master's Degree Program in Computer Science at the University of Catania, aims to create a distributed system that, starting from a GitHub link or certain parameters, performs an analysis on the reference repository based on elements such as code, language, files, etc.

🎯 Project Objectives

1. Automated Data Collection: Implement a system that can automatically collect data from GitHub repositories, using direct links or specific parameters, ensuring efficient and accurate extraction of information.
2. Code Structure Evaluation: Analyze the code structure within the repositories, examining the organization of files, modularity, and the relationships between different components of the project.
3. Code Quality Metrics: Calculate and present code quality metrics such as cyclomatic complexity, test coverage, code smells, and other indicators of good software development practices.
4. Support for Developers: Provide tools and detailed reports that help developers better understand their code, identify areas for improvement, and adopt good development practices.

🔗 Architecture and Functioning of the RepoGenius Pipeline

The RepoGenius pipeline is composed of these microservices:

• Flask
• RabbitMQ

ℹ️ How to use

1. Clone the repository

git clone https://github.com/ManciSee/RepoGenius.git
cd RepoGenius

2. Build and run the docker container

docker compose up --build

3. Run the RabbitMQ consumer

cd rabbitmq/rabbitmq-consumer
python3 consumer.py

4. Open the Flask server on port 5001
5. Insert a link of a GitHub repository and enjoy!

📀 Demo

repogenius_demo.mp4

👥 Authors