Walk And Graph Svelte Components screenshot

Walk And Graph Svelte Components

Author Avatar Theme by J2l
Updated: 16 Mar 2022
10 Stars

CLI node script to walk svelte and js files, to draw a beautiful JPG of your dependencies aka "imports". No external dependency, only FS (Node).

Overview

The walk.js script offers a unique way to visualize the dependencies within a Svelte project, making it an invaluable tool for developers who wish to better understand and manage their component imports. This project is particularly geared towards testing and is filled with helpful comments and a visual output that can aid in debugging. For those working in Svelte, having a clear visual representation of your imports can streamline the development process and minimize errors.

By utilizing simple commands and maintaining a straightforward setup, this tool allows users to generate a dot file and a corresponding JPG image that outlines their project structure. The approach may seem hacky due to its reliance on regex, but it delivers practical results that developers can appreciate, especially when navigating complex component imports.

Features

  • Easy Installation: Simply clone the project using Git or use npx degit to get started quickly.

  • Verbose Logging: The script provides extensive console logs to help debug and understand where issues may arise, making troubleshooting easier.

  • Visual Output: Generates a dot.dot file along with a dot.dot.jpg image that visually represents the components and their import relationships.

  • Customizability: You can easily copy walk.js into other projects and adjust import statements according to your needs.

  • Helpful Comments: The code is filled with comments that clarify its functionality, making it accessible for developers of all skill levels.

  • Specific Usage Notes: Designed specifically for Svelte SPA projects, with guidance on how to structure imports effectively.

  • Community-Driven: The project encourages feedback and contributions through pull requests, fostering a collaborative environment for improvement.

  • Hacky Yet Functional: While it uses a regex-heavy approach, it is effective and gets the job done for visualizing dependencies.