这是我为logback所做的。

我创建了一个TestAppender类:

public class TestAppender extends AppenderBase<ILoggingEvent> {

    private Stack<ILoggingEvent> events = new Stack<ILoggingEvent>();

    @Override
    protected void append(ILoggingEvent event) {
        events.add(event);
    }

    public void clear() {
        events.clear();
    }

    public ILoggingEvent getLastEvent() {
        return events.pop();
    }
}

然后在我的testng单元测试类的父类中创建了一个方法:

protected TestAppender testAppender;

@BeforeClass
public void setupLogsForTesting() {
    Logger root = (Logger)LoggerFactory.getLogger(Logger.ROOT_LOGGER_NAME);
    testAppender = (TestAppender)root.getAppender("TEST");
    if (testAppender != null) {
        testAppender.clear();
    }
}

我在src/test/resources中定义了一个logback-test.xml文件，并添加了一个测试appender:

<appender name="TEST" class="com.intuit.icn.TestAppender">
    <encoder>
        <pattern>%m%n</pattern>
    </encoder>
</appender>

并将这个appender添加到根appender:

<root>
    <level value="error" />
    <appender-ref ref="STDOUT" />
    <appender-ref ref="TEST" />
</root>

现在，在从父测试类扩展而来的测试类中，我可以获得appender并记录最后一条消息，并验证消息、级别和throwable。

ILoggingEvent lastEvent = testAppender.getLastEvent();
assertEquals(lastEvent.getMessage(), "...");
assertEquals(lastEvent.getLevel(), Level.WARN);
assertEquals(lastEvent.getThrowableProxy().getMessage(), "...");

另一个选项是模拟Appender并验证消息是否已记录到此Appender。Log4j 1.2的示例。X和mockito:

import static org.junit.Assert.assertEquals;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.verify;

import org.apache.log4j.Appender;
import org.apache.log4j.Level;
import org.apache.log4j.Logger;
import org.apache.log4j.spi.LoggingEvent;
import org.junit.After;
import org.junit.Before;
import org.junit.Test;
import org.mockito.ArgumentCaptor;

public class MyTest {

    private final Appender appender = mock(Appender.class);
    private final Logger logger = Logger.getRootLogger();

    @Before
    public void setup() {
        logger.addAppender(appender);
    }

    @Test
    public void test() {
        // when
        Logger.getLogger(MyTest.class).info("Test");

        // then
        ArgumentCaptor<LoggingEvent> argument = ArgumentCaptor.forClass(LoggingEvent.class);
        verify(appender).doAppend(argument.capture());
        assertEquals(Level.INFO, argument.getValue().getLevel());
        assertEquals("Test", argument.getValue().getMessage());
        assertEquals("MyTest", argument.getValue().getLoggerName());
    }

    @After
    public void cleanup() {
        logger.removeAppender(appender);
    }
}

另一个值得提及的想法是创建一个CDI生成器来注入记录器，这样模拟就变得容易了，尽管这是一个较老的主题。(而且它还提供了不必再声明“整个logger语句”的优势，但这已经跑题了)

例子:

创建要注入的记录器:

public class CdiResources {
  @Produces @LoggerType
  public Logger createLogger(final InjectionPoint ip) {
      return Logger.getLogger(ip.getMember().getDeclaringClass());
  }
}

限定符:

@Qualifier
@Retention(RetentionPolicy.RUNTIME)
@Target({TYPE, METHOD, FIELD, PARAMETER})
public @interface LoggerType {
}

在生产代码中使用记录器:

public class ProductionCode {
    @Inject
    @LoggerType
    private Logger logger;

    public void logSomething() {
        logger.info("something");
    }
}

在测试代码中测试记录器(给出一个easyMock示例):

@TestSubject
private ProductionCode productionCode = new ProductionCode();

@Mock
private Logger logger;

@Test
public void testTheLogger() {
   logger.info("something");
   replayAll();
   productionCode.logSomething();
}

您可能要测试两件事。

当我的程序的操作人员对事件感兴趣时，我的程序是否执行适当的日志记录操作，以通知操作人员该事件。 当我的程序执行日志记录操作时，它产生的日志消息是否具有正确的文本。

这两件事实际上是不同的，所以可以分别测试。然而，测试第二个(消息文本)问题很大，我建议不要这样做。消息文本的测试最终将包括检查一个文本字符串(预期的消息文本)是否与日志记录代码中使用的文本字符串相同，或者可以简单地从文本字符串派生出来。

这些测试根本不测试程序逻辑，它们只测试一个资源(字符串)是否等同于另一个资源。 这些测试是脆弱的;即使是对日志消息格式的微小调整也会破坏您的测试。 测试与日志接口的国际化(翻译)不兼容。测试假设只有一种可能的消息文本，因此只有一种可能的人类语言。

请注意，让您的程序代码(可能实现了一些业务逻辑)直接调用文本日志接口是糟糕的设计(但不幸的是非常常见)。负责业务逻辑的代码还决定一些日志策略和日志消息的文本。它将业务逻辑与用户界面代码混合在一起(是的，日志消息是程序用户界面的一部分)。这些东西应该是分开的。

因此，我建议业务逻辑不要直接生成日志消息的文本。相反，让它委托给一个日志对象。

The class of the logging object should provide a suitable internal API, which your business object can use to express the event that has occurred using objects of your domain model, not text strings. The implementation of your logging class is responsible for producing text representations of those domain objects, and rendering a suitable text description of the event, then forwarding that text message to the low level logging framework (such as JUL, log4j or slf4j). Your business logic is responsible only for calling the correct methods of the internal API of your logger class, passing the correct domain objects, to describe the actual events that occurred. Your concrete logging class implements an interface, which describes the internal API your business logic may use. Your class(es) that implements business logic and must perform logging has a reference to the logging object to delegate to. The class of the reference is the abstract interface. Use dependency injection to set up the reference to the logger.

然后，您可以通过创建一个模拟记录器(它实现了内部日志API)并在测试的设置阶段使用依赖项注入来测试业务逻辑类是否正确地将事件告知日志接口。

是这样的:

 public class MyService {// The class we want to test
    private final MyLogger logger;

    public MyService(MyLogger logger) {
       this.logger = Objects.requireNonNull(logger);
    }

    public void performTwiddleOperation(Foo foo) {// The method we want to test
       ...// The business logic
       logger.performedTwiddleOperation(foo);
    }
 };

 public interface MyLogger {
    public void performedTwiddleOperation(Foo foo);
    ...
 };

 public final class MySl4jLogger: implements MyLogger {
    ...

    @Override
    public void performedTwiddleOperation(Foo foo) {
       logger.info("twiddled foo " + foo.getId());
    }
 }

 public final void MyProgram {
    public static void main(String[] argv) {
       ...
       MyLogger logger = new MySl4jLogger(...);
       MyService service = new MyService(logger);
       startService(service);// or whatever you must do
       ...
    }
 }

 public class MyServiceTest {
    ...

    static final class MyMockLogger: implements MyLogger {
       private Food.id id;
       private int nCallsPerformedTwiddleOperation;
       ...

       @Override
       public void performedTwiddleOperation(Foo foo) {
          id = foo.id;
          ++nCallsPerformedTwiddleOperation;
       }

       void assertCalledPerformedTwiddleOperation(Foo.id id) {
          assertEquals("Called performedTwiddleOperation", 1, nCallsPerformedTwiddleOperation);
          assertEquals("Called performedTwiddleOperation with correct ID", id, this.id);
       }
    };

    @Test
    public void testPerformTwiddleOperation_1() {
       // Setup
       MyMockLogger logger = new MyMockLogger();
       MyService service = new MyService(logger);
       Foo.Id id = new Foo.Id(...);
       Foo foo = new Foo(id, 1);

       // Execute
       service.performedTwiddleOperation(foo);

       // Verify
       ...
       logger.assertCalledPerformedTwiddleOperation(id);
    }
 }

实际上，您是在测试依赖类的副作用。对于单元测试，您只需要验证这一点

logger.info（）

使用正确的参数调用。因此，使用一个模拟框架来模拟记录器，这将允许您测试自己类的行为。

如果我想做的只是看到一些字符串被记录(而不是验证确切的日志语句，这太脆弱了)，我所做的是将StdOut重定向到缓冲区，做一个contains，然后重置StdOut:

PrintStream original = System.out;
ByteArrayOutputStream buffer = new ByteArrayOutputStream();
System.setOut(new PrintStream(buffer));

// Do something that logs

assertTrue(buffer.toString().contains(myMessage));
System.setOut(original);