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基于vis.js实现网络拓扑图等关系图谱

时间:2024-05-20 14:19:08浏览次数:27  
标签:fixed image label js vis shape var 网络拓扑 true

vis.js是一个动态的、基于浏览器的可视化库。该库被设计为易于使用,可以处理大量动态数据,并支持对数据的操作和与数据的交互。该库由组件DataSet, Timeline, Network, Graph2d和Graph3d组成。

现在使用vis.js实现一个简单的网络类似网络拓扑的关系图谱,效果如下图所示:

image-20240520141035367

实现的示例代码如下:

<!DOCTYPE html>
<html lang="en">
  <head>
    <title>网络拓扑图</title>
    <script
      type="text/javascript"
      src="https://visjs.github.io/vis-network/standalone/umd/vis-network.min.js"
    ></script>

    <style type="text/css">
      #mynetwork {
        width: 600px;
        height: 400px;
        border: 1px solid lightgray;
      }

      p {
        max-width: 600px;
      }
    </style>
  </head>
  <body>
    <div id="mynetwork"></div>

    <script type="text/javascript">
      // 创建节点数组
      var nodes = new vis.DataSet([
        { id: 1, label: "Node 1" ,fixed:true,image:"https://s11.ax1x.com/2022/03/22/qMuYbq.jpg",shape: "image"},
        { id: 2, label: "Node 2" ,fixed:true,image:"https://s11.ax1x.com/2022/03/22/qMMzbn.jpg",shape: "image"},
        { id: 3, label: "Node 3" ,fixed:true,image:"https://s11.ax1x.com/2022/03/22/qMQebR.jpg",shape: "image"},
        { id: 4, label: "Node 4" ,fixed:true,image:"https://s11.ax1x.com/2022/03/22/qMQC5V.jpg",shape: "image"},
        { id: 5, label: "Node 5" ,fixed:true,image:"https://s11.ax1x.com/2022/03/22/qMQAv4.jpg",shape: "image"},
      ]);

      // 创建一个有边的数组
      var edges = new vis.DataSet([
        { from: 1, to: 2},
        { from: 2, to: 3 },
        { from: 2, to: 4 },
        { from: 2, to: 5 },
      ]);

      // 创建网络
      var container = document.getElementById("mynetwork");
      var data = {
        nodes: nodes,
        edges: edges,
      };
      var options = { layout: { hierarchical: true} };
      var network = new vis.Network(container, data, options);
    </script>
  </body>
</html>

上述库在uniapp中和Vue项目中也可以使用,示例代码如下:

<template>
		<view id="mynetwork"></view>
</template>
<script setup>
	import {ref,onMounted} from "vue";
    onMounted(()=>{
      drowNetWorkPic()
    })
    // 绘制网络拓扑
		// 绘制网络拓扑
	const drowNetWorkPic = () => {
		console.log("绘制网络拓扑图");
		var EDGE_LENGTH_MAIN = 150;
		// create an array with nodes
		var nodes = new vis.DataSet([{
				id: 1,
				label: "防火墙",
				image: "https://upload.wikimedia.org/wikipedia/zh/d/d8/Windows_Firewall_Icon.png",
				shape: "image",
				fixed: true
			},
			{
				id: 2,
				label: "网络交换机",
				image: "https://pic.pngsucai.com/00/13/36/172dade1a31a5005.webp",
				shape: "image",
				fixed: true
			},
			{
				id: 103,
				label: "智能摄像头",
				image: "./static/icon/camera-five.svg",
				shape: "image",
				fixed: true
			},
			{
				id: 104,
				label: "智能终端",
				image: "./static/icon/devices.svg",
				shape: "image",
				fixed: true
			},
			{
				id: 105,
				label: "智能路由器",
				image: "./static/icon/router.svg",
				shape: "image",
				fixed: true
			},
		]);

		// 创建一个有边的数组
		var edges = new vis.DataSet([{
				from: 1,
				to: 2,
				length: 20
			},
			{
				from: 2,
				to: 103,
				length: EDGE_LENGTH_MAIN
			},
			{
				from: 2,
				to: 104,
				length: EDGE_LENGTH_MAIN
			},
			{
				from: 2,
				to: 105,
				length: EDGE_LENGTH_MAIN
			},
		]);

		// 创建网络
		var container = document.getElementById("mynetwork");
		var data = {
			nodes: nodes,
			edges: edges,
		};
		var options = {
			layout: {
				hierarchical: true
			}
		};
		var network = new vis.Network(container, data, options);
		
		// 点击事件
		network.on('click',function(properties){
			console.log("properties:",properties);
		})
	}
</script>
<style scoped>
	/* 网络拓扑图 */
	#mynetwork {
		margin: 0 auto;
		width: 90%;
		height: 400px;
		border: 1px solid lightgray;
	}
</style>

标签:fixed,image,label,js,vis,shape,var,网络拓扑,true
From: https://www.cnblogs.com/bokemoqi/p/18201814

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