refactor(接口测试): 优化批量执行失败停止报告处理
This commit is contained in:
parent
3051af68e0
commit
419cd02a11
|
@ -110,15 +110,9 @@ public class MessageListener {
|
|||
*/
|
||||
private boolean isStopOnFailure(ApiNoticeDTO dto, ExecutionQueue queue, ApiExecuteResourceType resourceType) {
|
||||
if (BooleanUtils.isTrue(queue.getRunModeConfig().getStopOnFailure()) && StringUtils.equals(dto.getReportStatus(), ApiReportStatus.ERROR.name())) {
|
||||
String reportId = queue.getRunModeConfig().isIntegratedReport() ? queue.getRunModeConfig().getCollectionReport().getReportId() : dto.getReportId();
|
||||
if (resourceType.equals(ApiExecuteResourceType.API_SCENARIO)) {
|
||||
apiScenarioBatchRunService.updateStopOnFailureReport(queue);
|
||||
} else {
|
||||
apiScenarioBatchRunService.updateStopOnFailureApiReport(queue);
|
||||
}
|
||||
switch (resourceType) {
|
||||
case API_CASE -> apiReportService.updateReportStatus(reportId, ApiReportStatus.ERROR.name());
|
||||
case API_SCENARIO -> apiScenarioReportService.updateReportStatus(reportId, ApiReportStatus.ERROR.name());
|
||||
case API_CASE -> apiTestCaseBatchRunService.updateStopOnFailureApiReport(queue);
|
||||
case API_SCENARIO -> apiScenarioBatchRunService.updateStopOnFailureReport(queue);
|
||||
default -> {
|
||||
}
|
||||
}
|
||||
|
|
|
@ -1,9 +1,11 @@
|
|||
package io.metersphere.api.service;
|
||||
|
||||
import io.metersphere.api.domain.ApiScenarioReport;
|
||||
import io.metersphere.api.service.queue.ApiExecutionQueueService;
|
||||
import io.metersphere.sdk.dto.api.task.ApiRunModeConfigDTO;
|
||||
import io.metersphere.sdk.dto.queue.ExecutionQueue;
|
||||
import io.metersphere.sdk.dto.queue.ExecutionQueueDetail;
|
||||
import io.metersphere.sdk.util.LogUtils;
|
||||
import jakarta.annotation.Resource;
|
||||
import org.springframework.stereotype.Service;
|
||||
import org.springframework.transaction.annotation.Transactional;
|
||||
|
@ -52,4 +54,42 @@ public class ApiBatchRunBaseService {
|
|||
return queue;
|
||||
}
|
||||
|
||||
public ApiScenarioReport computeRequestRate(ApiScenarioReport report , long total) {
|
||||
// 计算各个概率
|
||||
double successRate = calculateRate(report.getSuccessCount(), total);
|
||||
double errorRate = calculateRate(report.getErrorCount(), total);
|
||||
double pendingRate = calculateRate(report.getPendingCount(), total);
|
||||
double fakeErrorRate = calculateRate(report.getFakeErrorCount(), total);
|
||||
|
||||
// 计算总和
|
||||
double sum = successRate + errorRate + pendingRate + fakeErrorRate;
|
||||
|
||||
LogUtils.info("偏移总量重新计算", sum);
|
||||
|
||||
// 避免分母为零
|
||||
double adjustment = sum > 0 ? 1.0 / sum : 0.0;
|
||||
|
||||
// 调整概率,使总和精确为100%
|
||||
successRate *= adjustment;
|
||||
errorRate *= adjustment;
|
||||
pendingRate *= adjustment;
|
||||
fakeErrorRate *= adjustment;
|
||||
|
||||
report.setRequestPassRate(formatRate(successRate));
|
||||
report.setRequestErrorRate(formatRate(errorRate));
|
||||
report.setRequestPendingRate(formatRate(pendingRate));
|
||||
report.setRequestFakeErrorRate(formatRate(fakeErrorRate));
|
||||
|
||||
return report;
|
||||
}
|
||||
|
||||
// 计算概率
|
||||
private static double calculateRate(long count, double total) {
|
||||
return total > 0 ? count / total : 0.0;
|
||||
}
|
||||
|
||||
// 格式化概率,保留两位小数
|
||||
private static String formatRate(double rate) {
|
||||
return String.format("%.2f", rate * 100);
|
||||
}
|
||||
}
|
||||
|
|
|
@ -5,10 +5,7 @@ import io.metersphere.api.dto.ApiDefinitionExecuteInfo;
|
|||
import io.metersphere.api.dto.ApiParamConfig;
|
||||
import io.metersphere.api.dto.debug.ApiResourceRunRequest;
|
||||
import io.metersphere.api.dto.definition.ApiTestCaseBatchRunRequest;
|
||||
import io.metersphere.api.mapper.ApiDefinitionMapper;
|
||||
import io.metersphere.api.mapper.ApiTestCaseBlobMapper;
|
||||
import io.metersphere.api.mapper.ApiTestCaseMapper;
|
||||
import io.metersphere.api.mapper.ExtApiTestCaseMapper;
|
||||
import io.metersphere.api.mapper.*;
|
||||
import io.metersphere.api.service.ApiBatchRunBaseService;
|
||||
import io.metersphere.api.service.ApiCommonService;
|
||||
import io.metersphere.api.service.ApiExecuteService;
|
||||
|
@ -69,6 +66,12 @@ public class ApiTestCaseBatchRunService {
|
|||
private ApiCommonService apiCommonService;
|
||||
@Resource
|
||||
private ApiDefinitionMapper apiDefinitionMapper;
|
||||
@Resource
|
||||
private ApiReportMapper apiReportMapper;
|
||||
@Resource
|
||||
private ApiReportDetailMapper apiReportDetailMapper;
|
||||
@Resource
|
||||
private ApiReportStepMapper apiReportStepMapper;
|
||||
|
||||
/**
|
||||
* 异步批量执行
|
||||
|
@ -412,4 +415,26 @@ public class ApiTestCaseBatchRunService {
|
|||
public String getEnvId(ApiRunModeConfigDTO runModeConfig, ApiTestCase apiTestCase) {
|
||||
return StringUtils.isBlank(runModeConfig.getEnvironmentId()) ? apiTestCase.getEnvironmentId() : runModeConfig.getEnvironmentId();
|
||||
}
|
||||
|
||||
public void updateStopOnFailureApiReport(ExecutionQueue queue) {
|
||||
ApiRunModeConfigDTO runModeConfig = queue.getRunModeConfig();
|
||||
if (runModeConfig.isIntegratedReport()) {
|
||||
// 获取未执行的请求数,更新统计指标
|
||||
String reportId = runModeConfig.getCollectionReport().getReportId();
|
||||
ApiReport report = apiReportMapper.selectByPrimaryKey(reportId);
|
||||
ApiReportDetailExample example = new ApiReportDetailExample();
|
||||
example.createCriteria().andReportIdEqualTo(reportId);
|
||||
ApiReportStepExample stepExample = new ApiReportStepExample();
|
||||
stepExample.createCriteria().andReportIdEqualTo(reportId);
|
||||
long total = apiReportStepMapper.countByExample(stepExample);
|
||||
long pendCount = total - apiReportDetailMapper.countByExample(example);
|
||||
report.setPendingCount(pendCount);
|
||||
ApiScenarioReport apiScenarioReport = new ApiScenarioReport();
|
||||
BeanUtils.copyBean(apiScenarioReport, report);
|
||||
apiScenarioReport = apiBatchRunBaseService.computeRequestRate(apiScenarioReport, total);
|
||||
BeanUtils.copyBean(report, apiScenarioReport);
|
||||
report.setStatus(ApiReportStatus.ERROR.name());
|
||||
apiReportMapper.updateByPrimaryKeySelective(report);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
@ -60,12 +60,6 @@ public class ApiScenarioBatchRunService {
|
|||
private ApiBatchRunBaseService apiBatchRunBaseService;
|
||||
@Resource
|
||||
private ExtApiScenarioMapper extApiScenarioMapper;
|
||||
@Resource
|
||||
private ApiReportMapper apiReportMapper;
|
||||
@Resource
|
||||
private ApiReportDetailMapper apiReportDetailMapper;
|
||||
@Resource
|
||||
private ApiReportStepMapper apiReportStepMapper;
|
||||
|
||||
/**
|
||||
* 异步批量执行
|
||||
|
@ -455,72 +449,12 @@ public class ApiScenarioBatchRunService {
|
|||
report.setPendingCount(pendingCount);
|
||||
// 计算各种通过率
|
||||
long total = apiScenarioReportService.getRequestTotal(report);
|
||||
report = computeRequestRate(report, total);
|
||||
report = apiBatchRunBaseService.computeRequestRate(report, total);
|
||||
report.setStatus(ApiReportStatus.ERROR.name());
|
||||
apiScenarioReportMapper.updateByPrimaryKeySelective(report);
|
||||
}
|
||||
} catch (Exception e) {
|
||||
LogUtils.error("失败停止,补充报告步骤失败:", e);
|
||||
}
|
||||
}
|
||||
public void updateStopOnFailureApiReport(ExecutionQueue queue) {
|
||||
ApiRunModeConfigDTO runModeConfig = queue.getRunModeConfig();
|
||||
if (runModeConfig.isIntegratedReport()) {
|
||||
// 获取未执行的请求数,更新统计指标
|
||||
String reportId = runModeConfig.getCollectionReport().getReportId();
|
||||
ApiReport report = apiReportMapper.selectByPrimaryKey(reportId);
|
||||
ApiReportDetailExample example = new ApiReportDetailExample();
|
||||
example.createCriteria().andReportIdEqualTo(reportId);
|
||||
ApiReportStepExample stepExample = new ApiReportStepExample();
|
||||
stepExample.createCriteria().andReportIdEqualTo(reportId);
|
||||
long total = apiReportStepMapper.countByExample(stepExample);
|
||||
long pendCount = total - apiReportDetailMapper.countByExample(example);
|
||||
report.setPendingCount(pendCount);
|
||||
ApiScenarioReport apiScenarioReport = new ApiScenarioReport();
|
||||
BeanUtils.copyBean(apiScenarioReport, report);
|
||||
apiScenarioReport = computeRequestRate(apiScenarioReport, total);
|
||||
BeanUtils.copyBean(report, apiScenarioReport);
|
||||
apiReportMapper.updateByPrimaryKeySelective(report);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
public ApiScenarioReport computeRequestRate(ApiScenarioReport report , long total) {
|
||||
// 计算各个概率
|
||||
double successRate = calculateRate(report.getSuccessCount(), total);
|
||||
double errorRate = calculateRate(report.getErrorCount(), total);
|
||||
double pendingRate = calculateRate(report.getPendingCount(), total);
|
||||
double fakeErrorRate = calculateRate(report.getFakeErrorCount(), total);
|
||||
|
||||
// 计算总和
|
||||
double sum = successRate + errorRate + pendingRate + fakeErrorRate;
|
||||
|
||||
LogUtils.info("偏移总量重新计算", sum);
|
||||
|
||||
// 避免分母为零
|
||||
double adjustment = sum > 0 ? 1.0 / sum : 0.0;
|
||||
|
||||
// 调整概率,使总和精确为100%
|
||||
successRate *= adjustment;
|
||||
errorRate *= adjustment;
|
||||
pendingRate *= adjustment;
|
||||
fakeErrorRate *= adjustment;
|
||||
|
||||
report.setRequestPassRate(formatRate(successRate));
|
||||
report.setRequestErrorRate(formatRate(errorRate));
|
||||
report.setRequestPendingRate(formatRate(pendingRate));
|
||||
report.setRequestFakeErrorRate(formatRate(fakeErrorRate));
|
||||
|
||||
return report;
|
||||
}
|
||||
|
||||
// 计算概率
|
||||
private static double calculateRate(long count, double total) {
|
||||
return total > 0 ? count / total : 0.0;
|
||||
}
|
||||
|
||||
// 格式化概率,保留两位小数
|
||||
private static String formatRate(double rate) {
|
||||
return String.format("%.2f", rate * 100);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
Loading…
Reference in New Issue