在类实现中不需要依赖硬编码的静态全局记录器，可以在默认构造函数中提供默认记录器，然后使用特定的构造函数设置对所提供的记录器的引用。

class MyClassToTest {
    private final Logger logger;
    
    public MyClassToTest() {
      this(SomeStatic.logger);
    };
    
    MyClassToTest(Logger logger) {
      this.logger = logger;
    };
    
    public void someOperation() {
        logger.warn("warning message");
        // ...
    };
};

class MyClassToTestTest {
    
    @Test
    public warnCalled() {
        Logger loggerMock = mock(Logger.class);
        MyClassTest myClassToTest = new MyClassToTest(logger);
        myClassToTest.someOperation();
        verify(loggerMock).warn(anyString());
    };
}

I've needed this several times as well. I've put together a small sample below, which you'd want to adjust to your needs. Basically, you create your own Appender and add it to the logger you want. If you'd want to collect everything, the root logger is a good place to start, but you can use a more specific if you'd like. Don't forget to remove the Appender when you're done, otherwise you might create a memory leak. Below I've done it within the test, but setUp or @Before and tearDown or @After might be better places, depending on your needs.

此外，下面的实现将所有内容收集到内存中的List中。如果您记录了很多日志，您可能会考虑添加一个过滤器来删除无聊的条目，或者将日志写入磁盘上的临时文件(提示:LoggingEvent是可序列化的，因此如果您的日志消息是可序列化的，那么您应该能够序列化事件对象)。

import org.apache.log4j.AppenderSkeleton;
import org.apache.log4j.Level;
import org.apache.log4j.Logger;
import org.apache.log4j.spi.LoggingEvent;
import org.junit.Test;

import java.util.ArrayList;
import java.util.List;

import static org.hamcrest.CoreMatchers.is;
import static org.junit.Assert.assertThat;

public class MyTest {
    @Test
    public void test() {
        final TestAppender appender = new TestAppender();
        final Logger logger = Logger.getRootLogger();
        logger.addAppender(appender);
        try {
            Logger.getLogger(MyTest.class).info("Test");
        }
        finally {
            logger.removeAppender(appender);
        }

        final List<LoggingEvent> log = appender.getLog();
        final LoggingEvent firstLogEntry = log.get(0);
        assertThat(firstLogEntry.getLevel(), is(Level.INFO));
        assertThat((String) firstLogEntry.getMessage(), is("Test"));
        assertThat(firstLogEntry.getLoggerName(), is("MyTest"));
    }
}

class TestAppender extends AppenderSkeleton {
    private final List<LoggingEvent> log = new ArrayList<LoggingEvent>();

    @Override
    public boolean requiresLayout() {
        return false;
    }

    @Override
    protected void append(final LoggingEvent loggingEvent) {
        log.add(loggingEvent);
    }

    @Override
    public void close() {
    }

    public List<LoggingEvent> getLog() {
        return new ArrayList<LoggingEvent>(log);
    }
}

非常感谢这些(令人惊讶的)快速而有用的回答;他们让我找到了正确的解决方法。

我想要使用的代码库使用java.util.logging作为其记录器机制，我对这些代码感到不够熟悉，无法完全将其更改为log4j或记录器接口/facade。但基于这些建议，我“破解”了一个j.u.l handler扩展，这是一种享受。

下面是一个简短的总结。延长java.util.logging.Handler:

class LogHandler extends Handler
{
    Level lastLevel = Level.FINEST;

    public Level  checkLevel() {
        return lastLevel;
    }    

    public void publish(LogRecord record) {
        lastLevel = record.getLevel();
    }

    public void close(){}
    public void flush(){}
}

显然，您可以从LogRecord中存储您喜欢/想要/需要的任何数量，或者将它们全部推入堆栈，直到溢出。

在junit-test的准备过程中，你创建了一个java.util.logging.Logger，并添加这样一个新的LogHandler:

@Test tester() {
    Logger logger = Logger.getLogger("my junit-test logger");
    LogHandler handler = new LogHandler();
    handler.setLevel(Level.ALL);
    logger.setUseParentHandlers(false);
    logger.addHandler(handler);
    logger.setLevel(Level.ALL);

对setUseParentHandlers()的调用将使正常的处理程序静默，以便(对于这个junit-test运行)不会发生不必要的日志记录。做任何你的测试代码需要使用这个记录器，运行测试和assertEquality:

    libraryUnderTest.setLogger(logger);
    methodUnderTest(true);  // see original question.
    assertEquals("Log level as expected?", Level.INFO, handler.checkLevel() );
}

(当然，您可以将大部分工作移到@Before方法中，并进行各种其他改进，但这会使演示变得混乱。)

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);
    }
 }

对于我来说，您可以通过使用JUnit和Mockito来简化您的测试。 我提出以下解决方案:

import org.apache.log4j.Appender;
import org.apache.log4j.Level;
import org.apache.log4j.LogManager;
import org.apache.log4j.spi.LoggingEvent;
import org.junit.After;
import org.junit.Before;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.mockito.ArgumentCaptor;
import org.mockito.Captor;
import org.mockito.InjectMocks;
import org.mockito.Mock;
import org.mockito.runners.MockitoJUnitRunner;

import java.util.List;

import static org.assertj.core.api.Assertions.assertThat;
import static org.assertj.core.api.Assertions.tuple;
import static org.mockito.Mockito.times;

@RunWith(MockitoJUnitRunner.class)
public class MyLogTest {
    private static final String FIRST_MESSAGE = "First message";
    private static final String SECOND_MESSAGE = "Second message";
    @Mock private Appender appender;
    @Captor private ArgumentCaptor<LoggingEvent> captor;
    @InjectMocks private MyLog;

    @Before
    public void setUp() {
        LogManager.getRootLogger().addAppender(appender);
    }

    @After
    public void tearDown() {
        LogManager.getRootLogger().removeAppender(appender);
    }

    @Test
    public void shouldLogExactlyTwoMessages() {
        testedClass.foo();

        then(appender).should(times(2)).doAppend(captor.capture());
        List<LoggingEvent> loggingEvents = captor.getAllValues();
        assertThat(loggingEvents).extracting("level", "renderedMessage").containsExactly(
                tuple(Level.INFO, FIRST_MESSAGE)
                tuple(Level.INFO, SECOND_MESSAGE)
        );
    }
}

这就是为什么我们对不同消息量的测试有很好的灵活性

使用下面的代码。我在spring集成测试中使用相同的代码，其中我使用日志回日志。使用assertJobIsScheduled方法断言日志中打印的文本。

import ch.qos.logback.classic.Logger;
import ch.qos.logback.classic.spi.LoggingEvent;
import ch.qos.logback.core.Appender;

private Logger rootLogger;
final Appender mockAppender = mock(Appender.class);

@Before
public void setUp() throws Exception {
    initMocks(this);
    when(mockAppender.getName()).thenReturn("MOCK");
    rootLogger = (Logger) LoggerFactory.getLogger(ch.qos.logback.classic.Logger.ROOT_LOGGER_NAME);
    rootLogger.addAppender(mockAppender);
}

private void assertJobIsScheduled(final String matcherText) {
    verify(mockAppender).doAppend(argThat(new ArgumentMatcher() {
        @Override
        public boolean matches(final Object argument) {
            return ((LoggingEvent)argument).getFormattedMessage().contains(matcherText);
        }
    }));
}