Mocking member variables of a class using Mockito
Use Mockito's @InjectMocks
to instantiate your class under test, and @Mock
to create mock objects for its dependencies. Through these annotations, Mockito executes the injection process automatically. Here's how you can do it:
By annotating Spaceship
with @InjectMocks
and NavigationSystem
with @Mock
, Mockito injects the mockNavSystem
into spaceship
, enabling easy testing of spaceship
functions.
Refactoring code: making it easy to test
When using Mockito, your code needs to be structured with dependency injections in mind, so mocking becomes easier. If your member variables aren't readily accessible, I bulletproof suggestions:
- Add setter methods so that injecting mocks becomes straightforward.
- Modify the constructor, so dependencies are variables instead of constants.
Unreachable members: using reflection
If you can't refactor your code or your member variables are inaccessible, ReflectionTestUtils
from the Spring framework to the rescue:
You can also concoct a custom TestUtils
class equipped with reflection methods for setting private variables. Be warned though, over-reliance on reflection screams the need for refactoring.
Over-mocking: the danger zone
Cross the line and mock what's not yours. Over-mocking transforms into fragile tests that fail to validate the interaction between components. Prefer using authentic instances of helper entities or data objects where applicable.
Mocking best practices: secure, safe, and sound!
Dependency injection isn't just a testing trick; it's a philosophy in software design. Vetted use of it ensures that each class sticks to its core duties without worrying about creating its dependencies.
Design patterns: adding structure
Implementing concepts like Factory, Strategy, or Service Locator patterns embeds structure into your code, providing a clear route for mocking and testing.
Ensuring correct usage of mocks
Leverage Mockito's verification capabilities to confirm the right use of your mock within your class:
Dealing with legacy code
Legacy codebases may resist refactoring. Here, you can rely on the reflection capabilities to offset the issues temporarily:
Reflection drawbacks
Remember, the extra power of reflection can lead to fragile testing. Such tests are prone to break after refactoring the field's names or types, as they tightly bind the tests to specific implementation details.
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