Tutorial: How to optimize routes with SmartMonkey on Python

output_tutorial1.json

{
  "status": "success",
  "processing_time": 4647,
  "job_id": "5c4b0e523ee5ba00168795f6",
  "solution": {
    "routes": [
      {
        "geometry": "qor{FatfLH\\JXPl@XhADJPv@XbAPl@XhA\rAHVJ`@Xe@fBoC`@q@DS@i@^iIIgAK...",
        "vehicle_id": "Car",
        "steps": [
          {
            "dep_time": 0,
            "type": "start"
          },
          {
            "distance": 1744,
            "dep_time": 3762,
            "type": "stop",
            "id": "Arc de triomf",
            "arr_time": 162
          },
          {
            "distance": 2167,
            "dep_time": 7581,
            "type": "stop",
            "id": "Sagrada Familia",
            "arr_time": 3981
          },
          {
            "distance": 2884,
            "dep_time": 11499,
            "type": "stop",
            "id": "Parc Guell",
            "arr_time": 7899
          },
          {
            "distance": 5657,
            "type": "end",
            "arr_time": 11964
          }
        ]
      }
    ],
    "missing": []
  }
}

smartmonkey_tutorial1.py

from smartmonkey import Client

# Request SmartMonkey API key. Can be obtained at: https://flake.smartmonkey.io
api_key = raw_input("* Type your api key: ")
client = Client(api_key)

# Create one vehicle
vehicles = [
    {
        "id": str("Car"),
        "start": {'lat': 41.387617, 'lng': 2.169132},
        "end": {'lat': 41.380739, 'lng': 2.122924}
    }
]

# Provide service descriptions
services = [
    {
        "id": 'Parc Guell',
        "location": {'lat': 41.413262, 'lng': 2.152945},
        "duration": 3600
    },
    {
        "id": 'Sagrada Familia',
        "location": {'lat': 41.403378, 'lng': 2.173600},
        "duration": 3600
    },
    {
        "id": 'Arc de triomf',
        "location": {'lat': 41.391485, 'lng': 2.180159},
        "duration": 3600
    }
]

# Optimize route
optimized_route = client.optimize(vehicles, services)

# Print result
print(optimized_route)