🚀 LIFReader: Visualize and Understand AGV Layouts 🗺️

✨ Overview

LIFReader is a powerful Python tool designed to parse, visualize, and analyze AGV (Automated Guided Vehicle) layouts defined in the Layout Interchange Format (LIF). Imagine effortlessly transforming complex AGV track layouts into clear, insightful visualizations – that's what LIFReader empowers you to do!

Inspired by the VDA 5050 standard, LIFReader provides a streamlined way to understand and work with AGV systems. Whether you're an integrator, system designer, or researcher, LIFReader offers a valuable toolkit for navigating the world of automated vehicle layouts.

🌟 Key Features

• Effortless LIF Parsing: Seamlessly converts LIF files into a structured graph representation.
• Stunning Visualizations: Transforms AGV layouts into easily understandable visual maps using Matplotlib.
• Fully Configurable: Customize visualization settings (colors, nodes sizes, labels) via a simple config.json file.
• Logging Support: Track script activity with comprehensive logging for debugging and analysis.
• Lightweight and Modular: Easy to integrate into existing projects and workflows.

🛠️ Installation

Get LIFReader up and running in a few simple steps:

1. Clone the repository:

   git clone https://github.com/your-username/LIFReader.git
   cd LIFReader
   

2. Install the dependencies:

   pip install networkx matplotlib pydantic
   

🚀 Quick Start

Ready to visualize your AGV layout? Follow these steps:

1. Configure config.json:

   • Update the lif_file path in config.json to point to your LIF file.
   • Customize graph appearance in the graph_settings section.

2. Run the script:

   python main.py
   

   ✨ Voila! ✨ You'll see a Matplotlib window displaying your AGV layout. An image file is created by the script to the file path you provided in the filepaths section.

⚙️ Configuration

The config.json file puts you in control! Here's a breakdown of the key settings:

• file_paths: Specify file locations.
  • lif_file: Path to your LIF JSON file.
  • output_graph: (Optional) Path to save the visualization as a PNG image.
• graph_settings: Customize the look and feel of the graph.
  • node_size: Size of nodes.
  • node_color: Color of nodes.
  • with_labels: Show/hide node labels.
  • edge_color: Color of edges.
  • edge_width: Width of edges.
  • edge_alpha: Edge transparency.
  • edge_style: Edge line style ("solid", "dashed", etc.).
  • edge_connectionstyle: Edge curvature ("-" for straight lines).
• logging: Configure logging behavior.
  • log_level: Set the logging level ("INFO", "DEBUG", "WARNING", "ERROR").
  • log_file: Specify the log file path.
• command_line_args: Enable or disable features.
  • lif: Enable LIF parsing.
  • visualize: Enable graph visualization.

🏗️ Project Structure

LIFReader is thoughtfully organized for clarity and maintainability:

LIFReader/
├── lif_reader/
│ ├── init.py
│ ├── json_reader.py
│ ├── graph/
│ │ ├── init.py
│ │ ├── graph_renderer.py
│ │ ├── lif_graph.py
│ ├── models/
│ │ ├── init.py
│ │ ├── action.py
│ │ ├── action_parameter.py
│ │ ├── control_point.py
│ │ ├── edge.py
│ │ ├── layout.py
│ │ ├── lif.py
│ │ ├── load_restriction.py
│ │ ├── meta_information.py
│ │ ├── node.py
│ │ ├── station.py
│ │ ├── trajectory.py
│ │ ├── vehicle_type_edge_property.py
│ │ ├── vehicle_type_node_property.py
│ ├── utils/
│ │ ├── init.py
│ │ ├── config_loader.py
├── files/
│ ├── example2.json
├── logs/
│ ├── lif_reader.log
├── config.json
├── main.py
├── requirements.txt
├── setup.py
├── LICENSE
└── README.md

🎯 Contributing

LIFReader thrives on community contributions! Whether you have bug fixes, new features, or documentation improvements, we welcome your input.

1. Fork the repository.
2. Create a feature branch (git checkout -b feature/your-feature).
3. Commit your changes (git commit -am 'Add some feature').
4. Push to the branch (git push origin feature/your-feature).
5. Create a new Pull Request.

📜 License

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

🙏 Acknowledgements

• This project was created according to VDMA.
• Thanks to the open-source community for providing valuable libraries and resources.

⭐️ Support & Call-to-Action

If you find this project useful, please consider:

• Starring the repository ⭐️
• Forking the project to contribute enhancements
• Following for updates on future improvements

Your engagement helps increase visibility and encourages further collaboration!

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Happy coding! 🚀✨