我有一些正在测试的代码,它调用Java记录器来报告其状态。 在JUnit测试代码中,我想验证在这个日志记录器中创建了正确的日志条目。大致如下:

methodUnderTest(bool x){
    if(x)
        logger.info("x happened")
}

@Test tester(){
    // perhaps setup a logger first.
    methodUnderTest(true);
    assertXXXXXX(loggedLevel(),Level.INFO);
}

我认为这可以用一个经过特别调整的记录器(或处理程序或格式化程序)来完成,但我更愿意重用现有的解决方案。(而且,老实说,我不清楚如何从记录器获得logRecord,但假设这是可能的。)


当前回答

哇。我不知道为什么这么难。我发现我无法使用上面的任何代码示例,因为我使用的是log4j2而不是slf4j。这是我的解决方案:

public class SpecialLogServiceTest {

  @Mock
  private Appender appender;

  @Captor
  private ArgumentCaptor<LogEvent> captor;

  @InjectMocks
  private SpecialLogService specialLogService;

  private LoggerConfig loggerConfig;

  @Before
  public void setUp() {
    // prepare the appender so Log4j likes it
    when(appender.getName()).thenReturn("MockAppender");
    when(appender.isStarted()).thenReturn(true);
    when(appender.isStopped()).thenReturn(false);

    final LoggerContext ctx = (LoggerContext) LogManager.getContext(false);
    final Configuration config = ctx.getConfiguration();
    loggerConfig = config.getLoggerConfig("org.example.SpecialLogService");
    loggerConfig.addAppender(appender, AuditLogCRUDService.LEVEL_AUDIT, null);
  }

  @After
  public void tearDown() {
    loggerConfig.removeAppender("MockAppender");
  }

  @Test
  public void writeLog_shouldCreateCorrectLogMessage() throws Exception {
    SpecialLog specialLog = new SpecialLogBuilder().build();
    String expectedLog = "this is my log message";

    specialLogService.writeLog(specialLog);

    verify(appender).append(captor.capture());
    assertThat(captor.getAllValues().size(), is(1));
    assertThat(captor.getAllValues().get(0).getMessage().toString(), is(expectedLog));
  }
}

其他回答

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

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

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();
}

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);

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。