const { MinPriorityQueue } = require("@datastructures-js/priority-queue");
class Graph {
constructor() {
this.adjacencyList = {};
}
addVertex(vertex) {
if (!this.adjacencyList[vertex]) this.adjacencyList[vertex] = [];
}
addEdge(vertex1, vertex2, weight) {
this.adjacencyList[vertex1].push({ node: vertex2, weight });
this.adjacencyList[vertex2].push({ node: vertex1, weight });
}
dijkstra(start, finish) {
const nodes = new MinPriorityQueue({ priority: (x) => x.priority });
const distances = {};
const previous = {};
let path = [];
let smallest;
for (let vertex in this.adjacencyList) {
if (vertex === start) {
distances[vertex] = 0;
nodes.enqueue({ vertex, priority: 0 });
} else {
distances[vertex] = Infinity;
nodes.enqueue({ vertex, priority: Infinity });
}
previous[vertex] = null;
}
while (!nodes.isEmpty()) {
smallest = nodes.dequeue().element.vertex;
if (smallest === finish) {
while (previous[smallest]) {
path.push(smallest);
smallest = previous[smallest];
}
break;
}
if (smallest || distances[smallest] !== Infinity) {
for (let neighbor in this.adjacencyList[smallest]) {
let nextNode = this.adjacencyList[smallest][neighbor];
let candidate = distances[smallest] + nextNode.weight;
let nextNeighbor = nextNode.node;
if (candidate < distances[nextNeighbor]) {
distances[nextNeighbor] = candidate;
previous[nextNeighbor] = smallest;
nodes.enqueue({ vertex: nextNeighbor, priority: candidate });
}
}
}
}
return path.concat(smallest).reverse();
}
}
const graph = new Graph();
graph.addVertex("A");
graph.addVertex("B");
graph.addVertex("C");
graph.addVertex("D");
graph.addVertex("E");
graph.addVertex("F");
graph.addEdge("A", "B", 4);
graph.addEdge("A", "C", 2);
graph.addEdge("B", "E", 3);
graph.addEdge("C", "D", 2);
graph.addEdge("C", "F", 4);
graph.addEdge("D", "E", 3);
graph.addEdge("D", "F", 1);
graph.addEdge("E", "F", 1);
const shortestPath = graph.dijkstra("A", "E");
console.log("Shortest path:", shortestPath);