GUIPyDebugger 1.0.6

GUI debugging server accessible on LAN connected devices through a browser

Graphical Python Debugger

Overview

The Graphical Python Debugger is a network-enabled debugging tool designed to simplify the debugging process for Python applications. This application can be hosted on a local network, allowing multiple devices to participate concurrently in debugging sessions. It also includes a diagram generation feature to provide a visual overview of the Python files within a specified directory. This is a useful learning tool for beginners, and enables easy code reviews with just a command line tool.

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Features

1. Directory Diagram Generation

• Generates a graphical diagram of Python files in a given directory.
• Displays:
  • Functions
  • Classes (including attributes and methods)
  • Relationships between files.
• Enables source code viewing directly from the diagram.

2. Experimentation Window

• Allows users to execute Python code snippets for experimentation during debugging.
• Provides a sandbox environment to test isolated pieces of code.
• Syntax highlighting included

3. Debugger Shell

• Facilitates step-by-step execution of Python files.
• Core functionalities include:
  • Setting breakpoints.
  • Stepping through code execution.
  • Viewing variable values and their stored information.
  • Inspecting source code.
  • Executing Python expressions during halted execution.

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Installation

1. Clone the repository:

   git clone https://github.com/your-username/graphical-python-debugger.git
   cd graphical-python-debugger
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Run the application:

   python app.py
   

4. Access the debugger via your web browser at http://<host_ip>:<port>.

Or just run 'pip install GUIPyDebugger'

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Usage

Starting a Debugging Session

1. Specify the directory containing Python files via the command line tool 'gui_pdb'
2. The command should look like 'gui_pdb <file_path>'

Experimentation Window

• Open the experimentation panel.
• Write and execute Python snippets to test logic or functionality.
• Keep in mind you can import any of your debug target modules or things in your venv

Debugger Shell

• Load the desired Python file.
• Use the controls to:
  • Step through the code.
  • Inspect and manipulate variables.
  • Execute custom Python expressions.

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Network Collaboration

• Host the debugger on a local network to allow other devices to connect.
• Collaborators can participate in debugging sessions and view/share updates in real-time.

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Contribution

Reporting Issues

Feel free to open issues on the GitHub repository for bugs, feature requests, or general feedback.

Pull Requests

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature/bugfix.
3. Commit your changes with clear messages.
4. Submit a pull request.

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License

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

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Contact

For questions or support, please reach out to [e-mail] or submit an issue on GitHub.