这里有一个很好的和优雅的方法来解决这个问题: https://www.baeldung.com/junit-asserting-logs

请注意，在Log4J 2中。X，公共接口org.apache.logging.log4j。Logger不包括setAppender()和removeAppender()方法。

但是，如果您没有做太花哨的事情，您应该能够将它强制转换为实现类org.apache.logging.log4j.core。记录器，它公开了这些方法。

这里有一个Mockito和AssertJ的例子:

// Import the implementation class rather than the API interface
import org.apache.logging.log4j.core.Logger;

// Cast logger to implementation class to get access to setAppender/removeAppender
Logger log = (Logger) LogManager.getLogger(MyClassUnderTest.class);

// Set up the mock appender, stubbing some methods Log4J needs internally
Appender appender = mock(Appender.class);
when(appender.getName()).thenReturn("Mock Appender");
when(appender.isStarted()).thenReturn(true);

log.addAppender(appender);
try {
    new MyClassUnderTest().doSomethingThatShouldLogAnError();
} finally {
    log.removeAppender(appender);
}

// Verify that we got an error with the expected message
ArgumentCaptor<LogEvent> logEventCaptor = ArgumentCaptor.forClass(LogEvent.class);
verify(appender).append(logEventCaptor.capture());
LogEvent logEvent = logEventCaptor.getValue();
assertThat(logEvent.getLevel()).isEqualTo(Level.ERROR);
assertThat(logEvent.getMessage().getFormattedMessage()).contains(expectedErrorMessage);

正如前面提到的，您可以使用mock框架。为此，您必须在类中公开记录器(尽管我可能更倾向于使其包私有而不是创建公共setter)。

另一种解决方案是手工创建一个假记录器。您必须编写伪记录器(更多的fixture代码)，但在这种情况下，我更喜欢使用模拟框架中保存的代码来增强测试的可读性。

我会这样做:

class FakeLogger implements ILogger {
    public List<String> infos = new ArrayList<String>();
    public List<String> errors = new ArrayList<String>();

    public void info(String message) {
        infos.add(message);
    }

    public void error(String message) {
        errors.add(message);
    }
}

class TestMyClass {
    private MyClass myClass;        
    private FakeLogger logger;        

    @Before
    public void setUp() throws Exception {
        myClass = new MyClass();
        logger = new FakeLogger();
        myClass.logger = logger;
    }

    @Test
    public void testMyMethod() {
        myClass.myMethod(true);

        assertEquals(1, logger.infos.size());
    }
}

I also ran into the same challanged and ended up at this page. Although I am 11 years too late to answers the question, I thought maybe it could be still usefull for others. I found the answer of davidxxx with Logback and the ListAppander very usefull. I used the same configuration for multiple projects, however it was not so fun to copy/paste it and maintaining all the version when I needed to changes something. I thought it would be better to make a library out of it and contribute back to the community. It works with SLFJ4, Log4j, Log4j2, Java Util Logging, JBoss Logging and with Lombok annotations. Please have a look here: LogCaptor for detailed examples and how to add it to your project.

示例情况:

public class FooService {

    private static final Logger LOGGER = LoggerFactory.getLogger(FooService.class);

    public void sayHello() {
        LOGGER.warn("Congratulations, you are pregnant!");
    }

}

使用LogCaptor的单元测试示例:

import nl.altindag.log.LogCaptor;
import org.junit.jupiter.api.Test;

import static org.assertj.core.api.Assertions.assertThat;

public class FooServiceTest {

    @Test
    public void sayHelloShouldLogWarnMessage() {
        LogCaptor logCaptor = LogCaptor.forClass(FooService.class);

        FooService fooService = new FooService();
        fooService.sayHello();

        assertThat(logCaptor.getWarnLogs())
            .contains("Congratulations, you are pregnant!");
    }
}

我不太确定是否应该在这里发布这篇文章，因为这也可以被视为推广“我的库”的一种方式，但我认为这对面临同样挑战的开发人员有帮助。

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);
    }
 }

这里有一个简单有效的Logback解决方案。 它不需要添加/创建任何新类。 它依赖于ListAppender:一个白盒回logback appender，其中将日志条目添加到公共List字段中，我们可以使用该字段来进行断言。

这里有一个简单的例子。

Foo类:

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

public class Foo {

    static final Logger LOGGER = LoggerFactory.getLogger(Foo .class);

    public void doThat() {
        LOGGER.info("start");
        //...
        LOGGER.info("finish");
    }
}

FooTest类:

import org.slf4j.LoggerFactory;
import ch.qos.logback.classic.Level;
import ch.qos.logback.classic.Logger;
import ch.qos.logback.classic.spi.ILoggingEvent;
import ch.qos.logback.core.read.ListAppender;

public class FooTest {

    @Test
    void doThat() throws Exception {
        // get Logback Logger 
        Logger fooLogger = (Logger) LoggerFactory.getLogger(Foo.class);

        // create and start a ListAppender
        ListAppender<ILoggingEvent> listAppender = new ListAppender<>();
        listAppender.start();

        // add the appender to the logger
        // addAppender is outdated now
        fooLogger.addAppender(listAppender);

        // call method under test
        Foo foo = new Foo();
        foo.doThat();

        // JUnit assertions
        List<ILoggingEvent> logsList = listAppender.list;
        assertEquals("start", logsList.get(0)
                                      .getMessage());
        assertEquals(Level.INFO, logsList.get(0)
                                         .getLevel());

        assertEquals("finish", logsList.get(1)
                                       .getMessage());
        assertEquals(Level.INFO, logsList.get(1)
                                         .getLevel());
    }
}

JUnit断言听起来不太适合断言列表元素的某些特定属性。 像AssertJ或Hamcrest这样的Matcher/断言库似乎更好:

使用AssertJ，它将是:

import org.assertj.core.api.Assertions;

Assertions.assertThat(listAppender.list)
          .extracting(ILoggingEvent::getMessage, ILoggingEvent::getLevel)
          .containsExactly(Tuple.tuple("start", Level.INFO), Tuple.tuple("finish", Level.INFO));