工单过程图接口更换

xiangpei

2024-08-29 3e9a6da99aae968123ee7bca352fc08becd7f1f2

 ycl-server/src/main/java/com/ycl/task/FaceTask.java

@@ -7,6 +7,7 @@
import com.ycl.platform.domain.vo.TMonitorVO;
import com.ycl.platform.mapper.TMonitorMapper;
import com.ycl.utils.DateUtils;
import com.ycl.utils.StringUtils;
import constant.ApiConstants;
import constant.CalculationStrategyConstants;
import constant.CheckConstants;
@@ -34,6 +35,7 @@
    private TMonitorMapper monitorMapper;

    public void siteOnlineTask() {
        log.info("开始计算人脸点位在线率和视图库对接稳定性");
        Date yesterday = DateUtils.addDays(new Date(), -1);
        //点位在线率和视图库对接稳定性
        Query query = new Query();
@@ -43,8 +45,10 @@
        List<SnapshotDataMonitorResult> results = mongoTemplate.find(query, SnapshotDataMonitorResult.class);
        CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_SiteOnline_ViewStability);
        calculator.calculate(results);
        log.info("结束计算人脸点位在线率和视图库对接稳定性");
    }
    public void deviceSampleTask() {
        log.info("开始计算人脸图片合格率、大图可用性");
        Date yesterday = DateUtils.addDays(new Date(), -1);
        //计算人脸图片合格率、大图可用性
        Query query = new Query();
@@ -53,8 +57,10 @@
        List<FaceDeviceSamplingResult> results = mongoTemplate.find(query, FaceDeviceSamplingResult.class);
        CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_DataAccuracy_PicUsability);
        calculator.calculate(results);
        log.info("结束计算人脸图片合格率、大图可用性");
    }
    public void infoAccuracyTask(){
        log.info("开始计算人脸卡口信息采集准确率");
        Date yesterday = DateUtils.addDays(new Date(), -1);
        //计算人脸卡口信息采集准确率
        Query query = new Query();
@@ -63,8 +69,10 @@
        List<MonitoringDetailResult> results = mongoTemplate.find(query, MonitoringDetailResult.class);
        CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_InfoAccuracy);
        calculator.calculate(results);
        log.info("结束计算人脸卡口信息采集准确率");
    }
    public void snapShopDelay(){
        log.info("开始计算人脸抓拍数据上传及时性");
        Date yesterday = DateUtils.addDays(new Date(), -1);
        //计算人脸抓拍数据上传及时性
        Query query = new Query();
@@ -74,8 +82,10 @@
        List<SnapshotDelayMonitorResult> results = mongoTemplate.find(query, SnapshotDelayMonitorResult.class);
        CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_SnapshotDelay);
        calculator.calculate(results);
        log.info("结束计算人脸抓拍数据上传及时性");
    }
    public void clockAccuracyTask() {
        log.info("开始计算人脸设备时钟准确性");
        Date yesterday = DateUtils.addDays(new Date(), -1);
        //计算人脸设备时钟准确性
        Query query = new Query();
@@ -84,13 +94,16 @@
        List<FaceDeviceInspectionResult> results = mongoTemplate.find(query, FaceDeviceInspectionResult.class);
        CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_ClockAccuracy);
        calculator.calculate(results);
        log.info("结束计算人脸设备时钟准确性");
    }

    public void directConsistentTask() {
        log.info("开始计算人脸目录一致率");
        //人脸目录一致率
        List<TMonitorVO> tMonitorVOS = monitorMapper.selectMonitorVOList();
        List<TMonitorVO> list = tMonitorVOS.stream().filter(tMonitorVO -> tMonitorVO.getCameraFunType().contains(CheckConstants.Rule_Category_Face + "")).collect(Collectors.toList());
        List<TMonitorVO> list = tMonitorVOS.stream().filter(tMonitorVO ->!StringUtils.isEmpty(tMonitorVO.getCameraFunType()) && tMonitorVO.getCameraFunType().contains(CheckConstants.Rule_Category_Face + "")).collect(Collectors.toList());
        CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_DirectConsistent);
        calculator.calculate(list);
        log.info("结束计算人脸目录一致率");
    }
}