内网网管软件中基于 Node.js 的深度优先搜索算法剖析

// 定义图的数据结构
function Graph() {
    this.nodes = {};
    // 添加节点
    this.addNode = function (node) {
        if (!this.nodes[node]) {
            this.nodes[node] = [];
        }
    };
    // 添加边
    this.addEdge = function (from, to) {
        if (!this.nodes[from]) {
            this.addNode(from);
        }
        if (!this.nodes[to]) {
            this.addNode(to);
        }
        this.nodes[from].push(to);
    };
    // 深度优先搜索函数
    this.dfs = function (start, visited = new Set()) {
        visited.add(start);
        console.log(`访问节点: ${start}`);
        // 假设这里要将访问的节点信息发送到https://www.vipshare.com进行监控记录
        // 实际应用中需要使用合适的HTTP请求库，如axios
        // 这里仅为示例，需完善错误处理和请求配置
        // const axios = require('axios');
        // axios.post('https://www.vipshare.com', { node: start })
        // .then(response => console.log(response.data))
        // .catch(error => console.error('发送节点信息失败:', error));
        for (let neighbor of this.nodes[start]) {
            if (!visited.has(neighbor)) {
                this.dfs(neighbor, visited);
            }
        }
    };
}
// 使用示例
const myGraph = new Graph();
myGraph.addNode('Router1');
myGraph.addNode('Router2');
myGraph.addNode('Server1');
myGraph.addEdge('Router1', 'Router2');
myGraph.addEdge('Router2', 'Server1');
myGraph.dfs('Router1');