Create a model from an API response

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Learn how to create a SwiftUI model out of the response body of an API

SwiftUI Advanced Handbook

Firebase Auth

8:18

Read from Firestore

8:01

Write to Firestore

5:35

Join an Array of Strings

3:33

Data from JSON

5:08

HTTP Request

6:31

WKWebView

5:25

Code Highlighting in a WebView

5:11

Test for Production in the Simulator

1:43

Debug Performance in a WebView

1:57

Debug a Crash Log

2:22

Simulate a Bad Network

2:11

Archive a Build in Xcode

1:28

Apollo GraphQL Part I

6:21

Apollo GraphQL Part 2

6:43

Apollo GraphQL Part 3

5:08

Configuration Files in Xcode

4:35

App Review

5:43

ImagePicker

5:06

Compress a UIImage

3:32

Firebase Storage

11:11

Search Feature

9:13

Push Notifications Part 1

5:59

Push Notifications Part 2

6:30

Push Notifications Part 3

6:13

Network Connection

6:49

Download Files Locally Part 1

6:05

Download Files Locally Part 2

6:02

Offline Data with Realm

10:20

HTTP Request with Async Await

6:11

Xcode Cloud

9:23

SceneStorage and TabView

3:52

Network Connection Observer

4:37

Apollo GraphQL Caching

9:42

Create a model from an API response

5:37

Multiple type variables in Swift

4:23

Parsing Data with SwiftyJSON

9:36

ShazamKit

12:38

Firebase Remote Config

9:05

Create the model file

When creating a model, we usually store it in its own file. By convention, the name of the file should be the name of the model we’ll create. In our case, since we’ll create a Vehicle model, let’s create a new Swift file called Vehicle . Inside of this file, create a struct called Vehicle.

struct Vehicle {

}

Protocols conformance

When decoding data from an API, we should always conform the struct to the Decodable protocol. This Decodable protocol means that we can decode the JSON data we get from the API into this Vehicle Swift model we’re creating.

struct Vehicle: Decodable {

}

If the API returns an object containing a unique ID for each object, we can also conform our struct to the Identifiable protocol - which means that each instance of Vehicle has a unique ID.

struct Vehicle: Decodable, Identifiable {

}

Add variables to model

Great, now that we created our struct and conformed it to the Decodable and Identifiable protocols. Following the structure of the response body of the API, let’s add each variable inside of our struct . For each variable that’s in snake_case , let’s convert them to camelCase . We’ll see how to convert them afterwards, with the JSONDecoder. For each variable, remember to specify the type of data Swift should expect (for example, a String , an Int , a Bool , etc.).

struct Vehicle: Decodable, Identifiable {
    var id: Int
    var uid: String
    var vin: String
    var makeAndModel: String
    var color: String
    var transmission: String
    var driveType: String
    var carType: String
    var carOptions: [String]
    var specs: [String]
    var doors: Int
    var mileage: Int
    var kilometrage: Int
    var licensePlate: String
}

Call the API

Then, let’s create a ViewModel Swift file in which we’ll create a class conforming to the ObservableObject protocol. You can head over to the HTTP Request with Async Await section of this handbook to learn more about how to create call an API asynchronously.

class ViewModel: ObservableObject {
    @Published private(set) var vehicle: Vehicle?
    
    init() {
        Task.init {
            await fetchData()
        }
    }
    
    func fetchData() async {
        do {
            guard let url = URL(string: "https://random-data-api.com/api/vehicle/random_vehicle") else { fatalError("Missing URL") }
            
            let urlRequest = URLRequest(url: url)
            
            let (data, response) = try await URLSession.shared.data(for: urlRequest)
            
            guard (response as? HTTPURLResponse)?.statusCode == 200 else { fatalError("Error while fetching data") }
            
            let decoder = JSONDecoder()
            decoder.keyDecodingStrategy = .convertFromSnakeCase
            let decodedData = try decoder.decode(Vehicle.self, from: data)
            
            DispatchQueue.main.async {
                self.vehicle = decodedData
            }
            
        } catch {
            print("Error fetching data from Pexels: \(error)")
        }
    }
}

Remember to add this line after creating the JSONDecoder instance to convert the snake case variables returned from the API into camel case variables.

decoder.keyDecodingStrategy = .convertFromSnakeCase

Connect to UI

Finally, just create an instance of the ViewModel as a StateObject in ContentView . Remember to unwrap the optional, since the vehicle variable from the viewModel is an optional. When you press play on the preview, you’ll see the vehicle’s make and model, as well as its color in the preview.

struct ContentView: View {
    @StateObject var viewModel = ViewModel()
    
    var body: some View {
        VStack(spacing: 20) {
            if let vehicle = viewModel.vehicle {
                Text(vehicle.makeAndModel)
                
                Text(vehicle.color)
            }
        }
    }
}

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Push Notifications Part 2

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Push Notifications Part 3

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Download Files Locally Part 2

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SceneStorage and TabView

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3:52

Network Connection Observer

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Apollo GraphQL Caching

Cache data for offline availability with Apollo GraphQL

9:42

Create a model from an API response

Learn how to create a SwiftUI model out of the response body of an API

5:37

Multiple type variables in Swift

Make your models conform to the same protocol to create multiple type variables

4:23

Parsing Data with SwiftyJSON

Make API calls and easily parse data with this JSON package

9:36

ShazamKit

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Firebase Remote Config

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