fuliqi
2024-09-10 7d5ea3631d163343b652bd6bd40b94b34c4194eb
ycl-server/src/main/java/com/ycl/task/FaceTask.java
@@ -3,10 +3,16 @@
import com.ycl.calculate.CalculationStrategy;
import com.ycl.factory.IndexCalculationFactory;
import com.ycl.platform.domain.result.HK.SnapshotDataMonitorResult;
import com.ycl.platform.domain.result.HK.*;
import com.ycl.platform.domain.result.SYS.TMonitorResult;
import com.ycl.platform.domain.result.UY.MonitorQualifyResult;
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;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.mongodb.core.MongoTemplate;
@@ -16,6 +22,8 @@
import java.util.Date;
import java.util.List;
import java.util.regex.Pattern;
import java.util.stream.Collectors;
/**
 * 人脸计算考核指标任务
@@ -26,17 +34,102 @@
public class FaceTask {
    @Autowired
    private MongoTemplate mongoTemplate;
    @Autowired
    private TMonitorMapper monitorMapper;
    //TODO:加任务
    public void siteOnlineTask() {
        log.info("开始计算点位在线率");
        List<TMonitorResult> tMonitorResults = monitorMapper.selectMonitorResult(CheckConstants.Rule_Category_Face);
        CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_SiteOnline);
        calculator.calculate(tMonitorResults);
        log.info("结束计算视图库对接稳定性");
    }
    //TODO:改名字
    public void viewConnectTask() {
        log.info("开始计算视图库对接稳定性");
        Date yesterday = DateUtils.addDays(new Date(), -1);
        //点位在线率和视图库对接稳定性
        //视图库对接稳定性
        Query query = new Query();
        query.addCriteria(Criteria
                .where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday))
                .and("dataType").is(ApiConstants.HK_DATATYPE_FACE));
        List<SnapshotDataMonitorResult> snapshotDataMonitorResults = mongoTemplate.find(query, SnapshotDataMonitorResult.class);
        CalculationStrategy<SnapshotDataMonitorResult> siteOnlineCalculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_SiteOnline_ViewStability);
        siteOnlineCalculator.calculate(snapshotDataMonitorResults);
                .and("dataType").is(ApiConstants.HK_DataType_FACE));
        List<SnapshotDataMonitorResult> results = mongoTemplate.find(query, SnapshotDataMonitorResult.class);
        CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_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();
        query.addCriteria(Criteria
                .where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday)));
        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();
        query.addCriteria(Criteria
                .where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday)));
        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();
        query.addCriteria(Criteria
                .where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday))
                .and("dataType").is(ApiConstants.HK_DataType_FACE));
        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();
        query.addCriteria(Criteria
                .where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday)));
        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
        Date yesterday = DateUtils.addDays(new Date(), -1);
        Query query = new Query();
        query.addCriteria(Criteria
                .where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday)));
        // 1/2/3 视频/车辆/人脸
        Pattern pattern = Pattern.compile(".*3.*");
        query.addCriteria(Criteria.where("sxjgnlx.value").regex(pattern));
        List<MonitorQualifyResult> results = mongoTemplate.find(query, MonitorQualifyResult.class);
        CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_DirectConsistent);
        calculator.calculate(results);
        log.info("结束计算人脸目录一致率");
    }
}