@yomguithereal/sigma-experiments-selection-tool v1.0.3

Sigma Rectangle Selection Tool Plugin

A straightforward rectangle selection tool plugin for sigma.js v2.

Installation

npm install @yomguithereal/sigma-experiments-selection-tool

Note that this plugin has been written to work with sigma 2.0.0-alpha36.

You should probably freeze strictly this dependency in your package.json by dropping ^ or ~ to avoid automatic upgrades that could break your setup:

{
  "dependencies": {
    "sigma": "2.0.0-alpha36"
  }
}

Usage

import enhanceWithSelectionTool from '@yomguithereal/sigma-experiments-selection-tool';

// Using the plugin to enhance your renderer
const cleanupSelectionTool = enhanceWithSelectionTool(renderer, {
  borderStyle: '1px dashed gray'
});

// The `cleanupSelectionTool` function returned by the plugin is only useful
// if you need to get rid of the plugin's features for any reason.
// Note that this cleanup function will automatically be called when renderer
// is killed using the #.kill method to prevent memory leaks.

// Now you can listen to the `selectNodes` event
renderer.on('selectNodes', ({nodes}) => {
  console.log('Here are the selected nodes', nodes);
});

Arguments

• renderer WebGLRenderer: a sigma.js v2 webgl renderer instance.
• settings ?object: optional settings:
  • borderStyle ?string 1px dashed gray: selection rectangle's border style.
  • debug ?boolean false: whether to log debug information in the console.
  • zIndex ?string|number 1000: use this if you need to tweak the selection rectangle zIndex because your sigma container has a custom one.

UX

You can start a rectangle selection by shift-clicking the stage then dragging your mouse. An event containing selected nodes will be fired as soon as you release the mouse.

Examples

There are two examples of rectangle selection tool for you to browse to help you integrate the plugin:

1. A basic example
2. Another one using a "real" graph

To run them you need to clone the repo then:

npm i
npm run dev # for the basic example
npm run arctic # for the arctic graph one

Then browse to http://localhost:3000.