![]() ![]() Of course, once we get the result from the method, we can use Assert to make sure we’re getting expected values and that our calls to our interface occurred. MyInterfaceMock.Verify((m => m.DoesSomething()), Times.Never()) Verify that DoesSomething was never called MyInterfaceMock.Verify((m => m.DoesSomething()), Times.Once()) Verify that DoesSomething was called only once MyInterfaceMock.SetupGet(m => m.Name).Returns("Molly") MyInterfaceMock.Setup(m => m.DoesSomething()).Returns(true) Once we’ve set up everything we want our interface to return when called, we can call the method we’re testing. We can also set up properties on our mock simply by using SetupGet instead of Setup. If our code under test uses a method in our interface, we can tell the mock exactly what we want returned. Mocks, by default, are loose.įrom here, we can use our new mock for a number of things. ![]() Loose behavior, on the other hand, does not throw exceptions in situations like this. Strict behavior means that exceptions will be thrown if anything that was not set up on our interface is called. ![]() When creating a mock, we can also give it strict or loose behavior. If the class or interface we were mocking required parameters for its constructor, we would simply pass those through when creating the mock in the setup function. We can start by creating an instance of the class we’re testing, along with a mock of an interface we want to use. Moq provides a library that makes it simple to set up, test, and verify mocks. NET along with NUnit to create our units tests. In the project I’ve been working on, we use the framework Moq for. This ensures that the flow of the program is as expected. You can also verify that the methods you set up are being called in the tested code. With mocks, you can set up the object, including giving parameters and return values on method calls and setting properties. This isolates the code you’re testing, ensuring that it works on its own and that no other code will make the tests fail. Mock objects allow you to mimic the behavior of classes and interfaces, letting the code in the test interact with them as if they were real. One way to make the testing process easier is through the use of mocks. Despite this, unit testing is a necessary part of creating clean, working code. They must be updated constantly as code is refactored, and when you have a large code base, you may have to write many tests to even come close to testing all cases. It’s easy to overlook the importance of unit testing. ![]()
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December 2022
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