Optimization Example

Using VRPTW with Distance Objective

Test file for VRPTW (Vehicle Routing Problem with Time Windows) with Distance Objective.

This test file creates valid payloads according to the validate_payload function requirements:

• All jobs must have the same start location
• Jobs must have unique end locations
• Job start locations should not intersect with end locations
• All vehicles must have the same start location
• Vehicles must have the same start location as jobs
• Vehicles must return to start location (start == end for vehicles)
• All vehicles must have the same profile
• All vehicles must have the same capacity
• All vehicles must have the same time window
• Jobs must have time windows for both start and end locations

import requests


# Configuration 
API_BASE_URL = "https://api.flio.ai"
OPTIMIZE_ENDPOINT = "/solver/optimize"
API_KEY = "YOUR-API-KEY"

payload = {
  "vehicles": [
    {
      "id": "vehicle_1",
      "start": [41.0082, 28.9784],
      "end": [41.0082, 28.9784],
      "constraints": {
        "profile": "car",
        "capacity": 30,
        "time_window": ["08:00:00", "18:00:00"],
        "max_distance": 50000,
        "max_travel_time": 28800,
        "max_tasks": 3,
        "per_km": 1000,
        "per_hour": 3600,
        "fixed": 0,      
        }
    },
    {
      "id": "vehicle_2",
      "start": [41.0082, 28.9784],
      "end": [41.0082, 28.9784],
      "constraints": {
        "profile": "car",
        "capacity": 30,
        "time_window": ["08:00:00", "18:00:00"],
        "max_distance": 50000,
        "max_travel_time": 28800,
        "max_tasks": 3,
        "per_km": 1000,
        "per_hour": 3600,
        "fixed": 0,
      }
    }
  ],
  "jobs": [
    {
      "id": "job_1",
      "amount": 10,
      "start": {
        "id": "depot",
        "coordinate": [41.0082, 28.9784],
        "setup": 180,
        "service": 300,
        "time_window": ["08:00:00", "18:00:00"]
      },
      "end": {
        "id": "customer_1",
        "coordinate": [41.0122, 28.9820],
        "setup": 60,
        "service": 240,
        "time_window": ["09:00:00", "11:00:00"]
      },
      "priority": 50,
      "skills": []
    },
    {
      "id": "job_2",
      "amount": 10,
      "start": {
        "id": "depot",
        "coordinate": [41.0082, 28.9784],
        "setup": 180,
        "service": 300,
        "time_window": ["08:00:00", "18:00:00"]
      },
      "end": {
        "id": "customer_2",
        "coordinate": [41.0050, 28.9750],
        "setup": 75,
        "service": 220,
        "time_window": ["09:00:00", "11:00:00"]
      },
      "priority": 50,
      "skills": []
    },
    {
      "id": "job_3",
      "amount": 10,
      "start": {
        "id": "depot",
        "coordinate": [41.0082, 28.9784],
        "setup": 180,
        "service": 300,
        "time_window": ["08:00:00", "18:00:00"]
      },
      "end": {
        "id": "customer_3",
        "coordinate": [41.0150, 28.9850],
        "setup": 90,
        "service": 300,
        "time_window": ["14:00:00", "16:00:00"]
      },
      "priority": 50,
      "skills": []
    },
    {
      "id": "job_4",
      "amount": 10,
      "start": {
        "id": "depot",
        "coordinate": [41.0082, 28.9784],
        "setup": 180,
        "service": 300,
        "time_window": ["08:00:00", "18:00:00"]
      },
      "end": {
        "id": "customer_4",
        "coordinate": [41.0030, 28.9720],
        "setup": 120,
        "service": 360,
        "time_window": ["14:00:00", "16:00:00"]
      },
      "priority": 50,
      "skills": []
    },
    {
      "id": "job_5",
      "amount": 10,
      "start": {
        "id": "depot",
        "coordinate": [41.0082, 28.9784],
        "setup": 180,
        "service": 300,
        "time_window": ["08:00:00", "18:00:00"]
      },
      "end": {
        "id": "customer_5",
        "coordinate": [41.0180, 28.9880],
        "setup": 100,
        "service": 250,
        "time_window": ["12:00:00", "14:00:00"]
      },
      "priority": 50,
      "skills": []
    }
  ],
  "options": {
    "problem": "VRPTW",
    "objective": "distance",
    "solver": "vroom",
    "map": "cartesian",
    "timeout": 30000
  }
} 


url = f"{API_BASE_URL}{OPTIMIZE_ENDPOINT}?api_key={API_KEY}"
print(f"\nSending request to: {url}")
response = requests.post(url, json=payload)
print(f"Response Status: {response.status_code}")
print(f"Response Headers: {dict(response.headers)}")

if response.status_code == 200:
    response_data = response.json()
    print(f"Response: {response_data}")

    # Print summary
    if "summary" in response_data:
        summary = response_data["summary"]
        print(f"\n=== SUMMARY ===")
        print(f"Total Distance: {summary.get('distance', 'N/A')} meters")
        print(f"Total Duration: {summary.get('duration', 'N/A')} seconds")
        print(f"Total Cost: {summary.get('cost', 'N/A')}")
        print(f"Unassigned Jobs: {summary.get('unassigned', 'N/A')}")
else:
    print(f"Error: {response.status_code}")
    print(f"Response: {response.text}")