Packages

•  package root

  Definition Classes

  root

•  package zio

  Definition Classes

  root

•  package test

  _ZIO Test_ is a featherweight testing library for effectful programs.

  _ZIO Test_ is a featherweight testing library for effectful programs.

  The library imagines every spec as an ordinary immutable value, providing tremendous potential for composition. Thanks to tight integration with ZIO, specs can use resources (including those requiring disposal), have well- defined linear and parallel semantics, and can benefit from a host of ZIO combinators.

  import zio.test._
  import zio.clock.nanoTime
  import Assertion.isGreaterThan
  
  object MyTest extends DefaultRunnableSpec {
    suite("clock") {
      testM("time is non-zero") {
        assertM(nanoTime, isGreaterThan(0))
      }
    }
  }

  Definition Classes

  zio

•  package mock

  The mock package contains testable versions of all the standard ZIO environment types through the MockClock, MockConsole, MockSystem, and MockRandom modules.

  The mock package contains testable versions of all the standard ZIO environment types through the MockClock, MockConsole, MockSystem, and MockRandom modules. See the documentation on the individual modules for more detail about using each of them.

  If you are using ZIO Test and extending DefaultRunnableSpec a MockEnvironment containing all of them will be automatically provided to each of your tests. Otherwise, the easiest way to use the mocking functionality in ZIO Test is by providing the MockEnvironment to your program.

  import zio.test.mock._
  
  myProgram.provideManaged(mockEnvironmentManaged)

  Then all environmental effects, such as printing to the console or generating random numbers, will be implemented by the MockEnvironment and will be fully testable. When you do need to access the "live" environment, for example to print debugging information to the close, just use the live combinator along with the effect as your normally would.

  If you are only interested in one of the mocking modules for your application, you can also access them a la carte through the make method on each module. Each mock module requires some data on initialization. Default data is included for each as DefaultData.

  import zio.test.mock._
  
  myProgram.provideM(MockConsole.make(MockConsole.DefaultData))

  Finally, you can create a Mock object that implements the mock interface directly using the makeMock method. This can be useful when you want to access some mocking functionality without using the environment type.

  import zio.test.mock._
  
  for {
    mockRandom <- MockRandom.makeMock(MockRandom.DefaultData)
    n          <- mockRandom.nextInt
  } yield n

  This can also be useful when you are creating a more complex environment to provide the implementation for mock services that you mix in.

  Definition Classes

  test

•  object MockRandom extends Serializable

  Definition Classes

  mock

• Buffer
• Data
• Mock
• Service

zio.test.mock.MockRandom

Service