package com.ycl.task;
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import com.ycl.calculate.CalculationStrategy;
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import com.ycl.factory.IndexCalculationFactory;
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import com.ycl.platform.domain.result.HK.*;
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import com.ycl.platform.domain.result.SYS.TMonitorResult;
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import com.ycl.platform.domain.result.UY.MonitorQualifyResult;
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import com.ycl.platform.domain.vo.TMonitorVO;
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import com.ycl.platform.mapper.TMonitorMapper;
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import com.ycl.utils.DateUtils;
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import com.ycl.utils.StringUtils;
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import constant.ApiConstants;
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import constant.CalculationStrategyConstants;
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import constant.CheckConstants;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.data.mongodb.core.MongoTemplate;
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import org.springframework.data.mongodb.core.query.Criteria;
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import org.springframework.data.mongodb.core.query.Query;
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import org.springframework.stereotype.Component;
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import java.util.Date;
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import java.util.List;
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import java.util.regex.Pattern;
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import java.util.stream.Collectors;
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/**
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* 人脸计算考核指标任务
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* 凌晨执行计算昨天数据
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* */
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@Slf4j
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@Component("faceTask")
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public class FaceTask {
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@Autowired
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private MongoTemplate mongoTemplate;
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@Autowired
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private TMonitorMapper monitorMapper;
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//TODO：加任务
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public void siteOnlineTask() {
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log.info("开始计算点位在线率");
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List<TMonitorResult> tMonitorResults = monitorMapper.selectMonitorResult(CheckConstants.Rule_Category_Face);
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CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_SiteOnline);
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calculator.calculate(tMonitorResults);
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log.info("结束计算视图库对接稳定性");
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}
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//TODO：改名字
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public void viewConnectTask() {
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log.info("开始计算视图库对接稳定性");
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Date yesterday = DateUtils.addDays(new Date(), -1);
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//视图库对接稳定性
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Query query = new Query();
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query.addCriteria(Criteria
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.where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday))
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.and("dataType").is(ApiConstants.HK_DataType_FACE));
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List<SnapshotDataMonitorResult> results = mongoTemplate.find(query, SnapshotDataMonitorResult.class);
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CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_ViewStability);
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calculator.calculate(results);
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log.info("结束计算人脸点位在线率和视图库对接稳定性");
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}
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public void deviceSampleTask() {
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log.info("开始计算人脸图片合格率、大图可用性");
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Date yesterday = DateUtils.addDays(new Date(), -1);
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//计算人脸图片合格率、大图可用性
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Query query = new Query();
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query.addCriteria(Criteria
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.where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday)));
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List<FaceDeviceSamplingResult> results = mongoTemplate.find(query, FaceDeviceSamplingResult.class);
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CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_DataAccuracy_PicUsability);
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calculator.calculate(results);
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log.info("结束计算人脸图片合格率、大图可用性");
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}
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public void infoAccuracyTask(){
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log.info("开始计算人脸卡口信息采集准确率");
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Date yesterday = DateUtils.addDays(new Date(), -1);
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//计算人脸卡口信息采集准确率
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Query query = new Query();
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query.addCriteria(Criteria
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.where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday)));
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List<MonitoringDetailResult> results = mongoTemplate.find(query, MonitoringDetailResult.class);
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CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_InfoAccuracy);
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calculator.calculate(results);
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log.info("结束计算人脸卡口信息采集准确率");
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}
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public void snapShopDelay(){
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log.info("开始计算人脸抓拍数据上传及时性");
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Date yesterday = DateUtils.addDays(new Date(), -1);
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//计算人脸抓拍数据上传及时性
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Query query = new Query();
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query.addCriteria(Criteria
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.where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday))
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.and("dataType").is(ApiConstants.HK_DataType_FACE));
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List<SnapshotDelayMonitorResult> results = mongoTemplate.find(query, SnapshotDelayMonitorResult.class);
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CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_SnapshotDelay);
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calculator.calculate(results);
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log.info("结束计算人脸抓拍数据上传及时性");
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}
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public void clockAccuracyTask() {
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log.info("开始计算人脸设备时钟准确性");
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Date yesterday = DateUtils.addDays(new Date(), -1);
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//计算人脸设备时钟准确性
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Query query = new Query();
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query.addCriteria(Criteria
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.where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday)));
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List<FaceDeviceInspectionResult> results = mongoTemplate.find(query, FaceDeviceInspectionResult.class);
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CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_ClockAccuracy);
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calculator.calculate(results);
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log.info("结束计算人脸设备时钟准确性");
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}
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public void directConsistentTask() {
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log.info("开始计算人脸目录一致率");
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//人脸目录一致率
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Date yesterday = DateUtils.addDays(new Date(), -1);
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Query query = new Query();
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query.addCriteria(Criteria
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.where("mongoCreateTime").gte(DateUtils.getDayStart(yesterday)).lt(DateUtils.getDayEnd(yesterday)));
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// 1/2/3 视频/车辆/人脸
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Pattern pattern = Pattern.compile(".*3.*");
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query.addCriteria(Criteria.where("sxjgnlx.value").regex(pattern));
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List<MonitorQualifyResult> results = mongoTemplate.find(query, MonitorQualifyResult.class);
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CalculationStrategy calculator = IndexCalculationFactory.getCalculator(CalculationStrategyConstants.Face_DirectConsistent);
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calculator.calculate(results);
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log.info("结束计算人脸目录一致率");
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}
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}
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