/Metatron

Metatron - Advanced Multi-Platform Debugging Tool Metatron is an advanced, AI-powered debugging tool designed to analyze and debug code across various programming languages, including Python, JavaScript, Java, C++, AI frameworks (TensorFlow, PyTorch), and blockchain (Solidity).

Primary LanguagePythonMIT LicenseMIT

Please, I am not a coder, just a passionate hobbyist, consider it will take me some time to do this all by myself, thanks a lot!

🧠 Metatron - Advanced Multi-Platform Debugging Tool Metatron is an advanced, AI-powered debugging tool designed to analyze and debug code across various programming languages, including Python, JavaScript, Java, C++, AI frameworks (TensorFlow, PyTorch), and blockchain (Solidity). Metatron features a beautiful, responsive user interface and supports multi-platform deployment on Windows, Linux, and the web.

🚀 Features !!!

🌐 Multi-Language Support: Supports various programming languages and frameworks.

🧠 AI-Powered Analysis: Utilizes advanced AI models for accurate error detection and debugging.

🔮 Quantum Computing Support: Visualize and simulate quantum circuits, with quantum-specific error detection and debugging.

🤝 Real-Time Collaboration: Collaborate on debugging sessions in real-time.

🔒 Secure and Private: Robust protection against web injection, buffer overflow, and other vulnerabilities.

✨ Beautiful and Responsive UI: Intuitive and modern UI design.

📖 Table of Contents

  • Getting Started
  • Prerequisites
  • Installation
  • Running the Application
  • Directory Structure
  • API Endpoints
  • Quantum Computing Features
  • Contributing
  • License
  • Contact

🛠 Getting Started

Follow these steps to set up and run Metatron on your local machine.

📋 Prerequisites

Node.js and npm Python 3.6 or later MySQL database Tor (for secure communication)

📦 Installation

  1. Clone the repository git clone https://github.com/your-username/metatron.git cd metatron

  2. Install dependencies

Electron and React dependencies: npm install

Python Flask dependencies: pip install flask flask_sqlalchemy flask_login werkzeug transformers requests[socks] flask-wtf fpdf stem openai qiskit pymysql matplotlib flask-cors

  1. Configure the database Update the database configuration in app.py: app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql+pymysql://username:password@hostname/database'

  2. Configure Tor Install Tor and configure it with a password:

sh Copy code sudo apt-get install tor sudo nano /etc/tor/torrc Add the following lines to the Tor configuration file:

plaintext Copy code ControlPort 9051 HashedControlPassword 16:YOUR_HASHED_PASSWORD CookieAuthentication 1 Restart Tor: sudo service tor restart

▶️ Running the Application

  1. Start the Flask backend python app.py

  2. Start the React frontend npm start

  3. Package the Electron app (optional)

To build the Electron app for Windows: npm run package-win

To build the Electron app for Linux: npm run package-linux

📁 Directory Structure !!!

metatron/ ├── app.py # Flask backend

├── utils.py # Utility functions

├── main.js # Electron main process

├── preload.js # Electron preload script

├── package.json # Node.js dependencies and scripts

├── requirements.txt # Python dependencies

├── static/ # Static files (CSS, JS)

│ └── styles.css

├── templates/ # HTML templates

│   ├── index.html

│   ├── login.html

│   ├── register.html

│   ├── result.html

│   ├── debug.html

│   ├── sessions.html

│   ├── visualize_quantum.html

│   └── simulate_quantum.html

├── src/ # React frontend source

│ ├── App.js

│ └── App.css

└── README.md # Project documentation

🔗 API Endpoints

POST /analyze: Analyze code and return errors and suggestions.

POST /debug: Debug code and provide step-by-step debugging information.

POST /visualize_quantum: Visualize quantum circuits.

POST /simulate_quantum: Simulate quantum circuits.

POST /compare_versions: Compare two versions of code.

POST /refactor_code: Refactor code using AI suggestions.

⚛️ Quantum Computing Features !!!

Metatron includes advanced features specifically designed for quantum computing:

+++ Quantum Circuit Visualization: Provide visual representations of quantum circuits to help users understand the structure and flow of their quantum programs.

+++ Quantum Gate Error Detection: Implement advanced error detection for quantum gates and operations.

+++ Quantum Performance Metrics: Offer detailed performance metrics for quantum computations, such as gate fidelity and qubit coherence times.

+++ Integration with Quantum Cloud Services: Integrate with quantum cloud services like IBM Quantum Experience and Google Quantum AI to run quantum circuits on actual quantum processors.

+++ Quantum Algorithm Libraries: Provide a library of pre-built quantum algorithms for common tasks like Grover's search, Shor's algorithm, and quantum teleportation.

+++ Quantum Debugger: Develop a quantum-specific debugger that can simulate quantum circuits and highlight potential issues in the quantum code.

+++ Quantum Resource Estimation: Estimate the quantum resources required for a given computation, including the number of qubits and gates.

+++ Quantum Compiler Integration: Integrate with quantum compilers to optimize quantum circuits for specific quantum hardware.

+++ Quantum Hybrid Algorithms: Support hybrid quantum-classical algorithms that combine quantum circuits with classical computation.

+++ Quantum Error Mitigation: Implement techniques for quantum error mitigation to improve the accuracy of quantum computations.

🤝 Contributing !!!

We welcome contributions! Please follow these steps to contribute:

  • Fork the repository.

  • Create a new branch (git checkout -b feature-branch).

  • Make your changes and commit them (git commit -m 'Add new feature').

  • Push to the branch (git push origin feature-branch).

  • Open a pull request.

📜 License !!!

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

📞 Contact For questions or suggestions, please open an issue or contact us at Lemniscate_zero@proton.me.