How do I mock dependencies and network calls?

Mocking dependencies and network calls in Swift is crucial for unit testing. It allows developers to test each part of their code in isolation, ensuring that tests are reliable and efficient.
Swift, Mocking, Dependencies, Network Calls, Unit Testing, Test-Driven Development, TDD, XCTest
// Example of mocking a network call in Swift import XCTest @testable import YourApp class NetworkService { func fetchData(completion: @escaping (Data?) -> Void) { // Code to fetch data from API } } class MockNetworkService: NetworkService { var mockData: Data? override func fetchData(completion: @escaping (Data?) -> Void) { completion(mockData) } } class YourAppTests: XCTestCase { var networkService: MockNetworkService! override func setUp() { super.setUp() networkService = MockNetworkService() } func testFetchData() { // Arrange let expectedData = Data("Test data".utf8) networkService.mockData = expectedData // Act networkService.fetchData { data in // Assert XCTAssertEqual(data, expectedData) } } }

Swift Mocking Dependencies Network Calls Unit Testing Test-Driven Development TDD XCTest

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?