Example: Editing Planned Result After Optimization

In this example, we'll:

• Execute a route optimization
• Inspect the result
• Reassign a job from one agent to another using the RoutePlannerResultEditor

This is useful when you want to manually adjust plans based on real-world constraints (like agent availability or new priorities).

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1. Import the SDK

import RoutePlanner, { Agent, Job, RoutePlannerResultEditor } from "@geoapify/route-planner-sdk";

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2. Initialize Planner and Add Input

const planner = new RoutePlanner({ apiKey: "YOUR_API_KEY" });

planner
  .setMode("drive")
  .addAgent(new Agent().setId("agent-1").setStartLocation(13.40, 52.52))
  .addAgent(new Agent().setId("agent-2").setStartLocation(13.42, 52.50))
  .addJob(new Job().setId("job-1").setLocation(13.41, 52.51))
  .addJob(new Job().setId("job-2").setLocation(13.39, 52.53));

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3. Plan the Route

const result = await planner.plan();

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4. View Initial Assignments

result.getAgentSolutions().forEach(agent => {
  console.log(`Agent: ${agent.getAgentId()}`);
  agent.getActions().forEach(action => {
    console.log(` - ${action.getType()} ${action.getJobId()}`);
  });
});

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5. Reassign a Job to Another Agent

Let's say we want to reassign job-1 from agent-1 to agent-2:

const editor = new RoutePlannerResultEditor(result);
await editor.assignJobs("agent-1", ["job-1"]);
const updatedResult = editor.getModifiedResult();

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6. View Modified Assignments

console.log("Modified solution:");

updatedResult.getAgentSolutions().forEach(agent => {
  console.log(`Agent: ${agent.getAgentId()}`);
  agent.getActions().forEach(action => {
    console.log(` - ${action.getType()} ${action.getJobId()}`);
  });
});

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Summary

This example shows how you can:

• Automatically optimize a plan
• Manually override assignments using editor tools

This gives you the flexibility to combine automated and human planning.

For more editor capabilities, see RoutePlannerResultEditor.