This post will walk you through creating a ride-a-request application using TomTom Maps API. This application will allow users to input multiple pick-up and drop-off locations, calculate the optimal route, and display it on a map. We’ll cover everything from obtaining the API key to rendering the optimized route on a map.

Step 1: Setting Up TomTom API
Before diving into the code, you’ll need to sign up on the TomTom Developer Portal and obtain an API key. This key will allow you to access TomTom’s services such as routing, geocoding, and maps.

Step 2: Implementing the Ride Request Functionality
The core of the application involves collecting addresses, converting them to coordinates, and calculating the optimal route. Here’s how you can do it:

def ride_request(request):
    if request.method == 'POST':
        form = RideForm(request.POST)
        if form.is_valid():
            ride = form.save(commit=False)
            # Get coordinates for the pickup and drop locations
            pickup_coords = get_coordinates(ride.pickup_address)
            pickup_coords_1 = get_coordinates(ride.pickup_address_1)
            pickup_coords_2 = get_coordinates(ride.pickup_address_2)
            drop_coords = get_coordinates(ride.drop_address)

            # Ensure all coordinates are available
            if all([pickup_coords, pickup_coords_1, pickup_coords_2, drop_coords]):
                # Set the coordinates
                ride.pickup_latitude, ride.pickup_longitude = pickup_coords
                ride.pickup_latitude_1, ride.pickup_longitude_1 = pickup_coords_1
                ride.pickup_latitude_2, ride.pickup_longitude_2 = pickup_coords_2
                ride.drop_latitude, ride.drop_longitude = drop_coords

                # Save the ride and redirect to the success page
                try:
                    ride.save()
                    return redirect('success_page', pickup_lon=ride.pickup_longitude, pickup_lat=ride.pickup_latitude,
                                    pickup_lon_1=ride.pickup_longitude_1, pickup_lat_1=ride.pickup_latitude_1,
                                    pickup_lon_2=ride.pickup_longitude_2, pickup_lat_2=ride.pickup_lat_2,
                                    drop_lon=ride.drop_longitude, drop_lat=ride.drop_latitude)
                except IntegrityError as e:
                    messages.error(request, f'IntegrityError: {str(e)}')
            else:
                messages.error(request, 'Error getting coordinates. Please try again.')
    else:
        form = RideForm()

    return render(request, 'maps/ride_request.html', {'form': form})

In this snippet, the application accepts user input for multiple addresses, converts these addresses into coordinates using the get_coordinates function, and saves the data for later use.

def get_coordinates(address):
    """
    Get coordinates (latitude, longitude) for a given address using TomTom Geocoding API.
    """
    api_key = 'YOUR_TOMTOM_API_KEY'
    base_url = 'https://api.tomtom.com/search/2/geocode/{address}.json'

    # Prepare the URL with the address and API key
    url = base_url.format(address=address)
    params = {'key': api_key}

    # Make the request to TomTom Geocoding API
    response = requests.get(url, params=params)
    data = response.json()

    # Check if the request was successful
    if response.status_code == 200 and data.get('results'):
        # Extract coordinates from the response
        result = data['results'][0]
        if 'position' in result:
            coordinates = result['position']
            return coordinates.get('lat'), coordinates.get('lon')
        else:
            print(
                f"Error getting coordinates for {address}: 'position' key not found in the response.")
            return None
    else:
        # Handle errors or return a default value
        print(
            f"Error getting coordinates for {address}: {data.get('message')}")
        return None

Step 3: Calculating the Optimized Route
Once you have the coordinates, the next step is to calculate the optimized route. TomTom’s Waypoint Optimization API helps in determining the most efficient path between multiple points.

def get_optimized_route(*pickup_coords, drop_coords):
    api_key = 'YOUR_TOMTOM_API_KEY'

    # Prepare the payload for the API
    payload = {
        'waypoints': [{'point': {'latitude': lat, 'longitude': lon}} for lon, lat in pickup_coords],
        'options': {'travelMode': 'car'},
    }

    # Add the drop location to the waypoints
    payload['waypoints'].append({'point': {'latitude': drop_coords[1], 'longitude': drop_coords[0]}})

    # API request
    response = requests.post(f'https://api.tomtom.com/routing/waypointoptimization/1',
                             params={'key': api_key},
                             json=payload)

    if response.status_code == 200:
        data = response.json()
        if 'optimizedOrder' in data:
            # Extract the optimized route
            return [get_route_geometry(pickup_coords[i], pickup_coords[j]) 
                    for i, j in zip(data['optimizedOrder'], data['optimizedOrder'][1:])]
    return None

This function sends a request to the TomTom API, receives the optimized order of waypoints, and then calculates the route geometry.

Step 4: Rendering the Map and Route
Finally, after obtaining the optimized route data, it’s time to render the map on your success_page.html.

{% load static %}



    

        

    
    
    

This HTML code initializes the TomTom map, places markers on the pickup and drop-off points, and draws the route between them.

Result: Ride Request Form & Success Map

Note: The code provided above is a simplified example to demonstrate the basic functionality of requesting a ride and calculating routes using TomTom’s API. The actual implementation may differ and include additional features or variations based on specific requirements. For more detailed information and advanced usage, please refer to the official TomTom Developer Documentation.