refactor(接口测试): 优化批量执行失败停止报告处理

This commit is contained in:
AgAngle 2024-04-18 16:02:56 +08:00 committed by 刘瑞斌
parent 3051af68e0
commit 419cd02a11
4 changed files with 73 additions and 80 deletions

View File

@ -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 -> {
}
}

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@ -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);
}
}

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@ -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);
}
}
}

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@ -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);
}
}