点位在线监测

xiangpei

2024-09-06 d49b037cd6d42cff6e8a15b3590a3edac2c4568b

 ycl-server/src/main/java/com/ycl/platform/service/impl/DataCenterServiceImpl.java

@@ -1,23 +1,25 @@
package com.ycl.platform.service.impl;

import com.baomidou.mybatisplus.core.metadata.IPage;
import com.baomidou.mybatisplus.extension.conditions.query.LambdaQueryChainWrapper;
import com.github.pagehelper.Page;
import com.github.pagehelper.PageHelper;
import com.mongodb.client.AggregateIterable;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import com.ycl.platform.domain.entity.ImageResourceSecurityDetail;
import com.ycl.platform.domain.entity.YwPoint;
import com.ycl.platform.domain.entity.*;
import com.ycl.platform.domain.query.DataCenterQuery;
import com.ycl.platform.domain.result.HK.*;
import com.ycl.platform.domain.result.UY.*;
import com.ycl.platform.domain.vo.PointDetailVO;
import com.ycl.platform.mapper.ImageResourceSecurityDetailMapper;
import com.ycl.platform.mapper.YwPointMapper;
import com.ycl.platform.service.DataCenterService;
import com.ycl.platform.service.YwPointService;
import com.ycl.platform.service.*;
import com.ycl.system.Result;
import com.ycl.system.page.PageUtil;
import com.ycl.utils.DateUtils;
import com.ycl.utils.MongoUtil;
import constant.CheckConstants;
import lombok.RequiredArgsConstructor;
import org.apache.commons.collections.CollectionUtils;
import org.bson.Document;
@@ -28,6 +30,9 @@
import org.springframework.data.mongodb.core.query.TextCriteria;
import org.springframework.stereotype.Service;

import java.math.BigDecimal;
import java.math.RoundingMode;
import java.text.DecimalFormat;
import java.util.*;
import java.util.stream.Collectors;

@@ -44,9 +49,14 @@
    private final MongoTemplate mongoTemplate;
    private final ImageResourceSecurityDetailMapper securityDetailMapper;
    private final YwPointMapper pointMapper;
    private final ICheckIndexVideoService checkIndexVideoService;
    private final ICheckIndexCarService checkIndexCarService;
    private final ICheckIndexFaceService checkIndexFaceService;


    private final static String TIME_FIELD = "mongoCreateTime";

    private static DecimalFormat DF = new DecimalFormat("#.####");

    /**
     * 视频：点位在线率
@@ -56,24 +66,29 @@
     */
    @Override
    public Result videoPointOnlineRate(DataCenterQuery params) {
        // 生成查询
        List<String> likeFileds = Arrays.asList("arealayerName", "ipAddr", "deviceName", "deviceId");
        Query query = MongoUtil.getQuery(params, "deviceId", TIME_FIELD, likeFileds, null);
        params.setDeptTag(-1);
        params.setDeviceType(1);
        IPage<PointDetailVO> page = PageUtil.getPage(params, PointDetailVO.class);
        pointMapper.dataCenterPage(page, params);

        // 先查总数再分页
        long total = mongoTemplate.count(query, VideoOnlineResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
        List<VideoOnlineResult> resultList = mongoTemplate.find(query, VideoOnlineResult.class);
        // 统计设备数量
        Integer distinctCount = pointMapper.distinctCount(params);

        // 统计数量
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("uy_online");
        long distinctCount = collection.distinct("deviceId", String.class).into(new ArrayList<>()).size();

        Date now = new Date();
        List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
                .select(CheckIndexVideo::getSiteOnline)
                .between(CheckIndexVideo::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexVideo::getSiteOnline).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", Arrays.asList(distinctCount));
        map.put("list", resultList);
        return Result.ok().data(map).total(total);
        map.put("count", Arrays.asList(distinctCount + "",this.remove0(onlineRate)));
        map.put("list", page.getRecords());
        return Result.ok().data(map).total(page.getTotal());
    }

    /**
@@ -84,41 +99,30 @@
     */
    @Override
    public Result deptVideoPointOnlineRate(DataCenterQuery params) {
        // 先查出部级点位的国标
        List<String> deptGBList = pointMapper.getDeptPointGB(0);
        List<String> likeFileds = Arrays.asList("arealayerName", "ipAddr", "deviceName", "deviceId");
        // 生成查询
        Query query = MongoUtil.getQuery(params, "deviceId", TIME_FIELD, likeFileds, deptGBList);
        params.setDeptTag(1);
        params.setDeviceType(1);
        IPage<PointDetailVO> page = PageUtil.getPage(params, PointDetailVO.class);
        pointMapper.dataCenterPage(page, params);

        // 先查总数再分页
        long total = mongoTemplate.count(query, VideoOnlineResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
        List<VideoOnlineResult> resultList = mongoTemplate.find(query, VideoOnlineResult.class);
        // 统计设备数量
        Integer distinctCount = pointMapper.distinctCount(params);

        // 统计数量
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("uy_online");
        Document filter = new Document("deviceId", new Document("$in", deptGBList));
        // 构建聚合管道
        List<Document> pipeline = Arrays.asList(
                // 只要部级的
                new Document("$match", filter),
                // $group 去重
                new Document("$group", new Document("_id", "$deviceId")),
                new Document("$count", "uniqueDeviceIds")
        );
        // 执行聚合查询并获取结果
        AggregateIterable<Document> result = collection.aggregate(pipeline);
        Integer uniqueDeviceIdCount = 0;
        for (Document doc : result) {
            uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
            break; // 不需要继续遍历，因为 $count 只会产生一个结果
        Date now = new Date();
        List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
                .select(CheckIndexVideo::getMinistrySiteOnline)
                .eq(params.getDataType().equals(1), CheckIndexVideo::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexVideo::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexVideo::getMinistrySiteOnline).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }

        HashMap<String, Object> map = new HashMap<>();
        map.put("count", Arrays.asList(uniqueDeviceIdCount));
        map.put("list", resultList);
        return Result.ok().data(map).total(total);
        map.put("count", Arrays.asList(distinctCount + "", this.remove0(onlineRate)));
        map.put("list", page.getRecords());
        return Result.ok().data(map).total(page.getTotal());
    }

    /**
@@ -129,43 +133,30 @@
     */
    @Override
    public Result videoImportantPointOnlineRate(DataCenterQuery params) {
        // 先查出重点点位的国标
        List<String> deptGBList = pointMapper.getDeptPointGB(1);
        List<String> likeFileds = Arrays.asList("arealayerName", "ipAddr", "deviceName", "deviceId");
        Query query = MongoUtil.getQuery(params, "deviceId", TIME_FIELD, likeFileds, deptGBList);
        params.setDeptTag(3);
        params.setDeviceType(1);
        IPage<PointDetailVO> page = PageUtil.getPage(params, PointDetailVO.class);
        pointMapper.dataCenterPage(page, params);

        long total = mongoTemplate.count(query, VideoOnlineResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
        List<VideoOnlineResult> resultList = mongoTemplate.find(query, VideoOnlineResult.class);
        // 统计设备数量
        Integer distinctCount = pointMapper.distinctCount(params);

        // 统计数量
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("uy_online");
        Document filter = new Document("deviceId", new Document("$in", deptGBList));
        // 构建聚合管道
        List<Document> pipeline = Arrays.asList(
                new Document("$match", filter),
                // $group 去重
                new Document("$group", new Document("_id", "$deviceId")),
                new Document("$count", "uniqueDeviceIds")
        );
        // 执行聚合查询并获取结果
        AggregateIterable<Document> result = collection.aggregate(pipeline);
        Integer uniqueDeviceIdCount = 0;
        for (Document doc : result) {
            uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
            break; // 不需要继续遍历，因为 $count 只会产生一个结果
        Date now = new Date();
        List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
                .select(CheckIndexVideo::getKeySiteOnline)
                .eq(params.getDataType().equals(1), CheckIndexVideo::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexVideo::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexVideo::getKeySiteOnline).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }

//        long nonNetwork = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("0")), VideoOnlineResult.class);
//        long network = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("1")), VideoOnlineResult.class);
//        long video = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*1.*")), VideoOnlineResult.class);
//        long car = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*2.*")), VideoOnlineResult.class);
//        long face = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*3.*")), VideoOnlineResult.class);
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", Arrays.asList(uniqueDeviceIdCount));
        map.put("list", resultList);
        return Result.ok().data(map).total(total);
        map.put("count", Arrays.asList(distinctCount + "", this.remove0(onlineRate)));
        map.put("list", page.getRecords());
        return Result.ok().data(map).total(page.getTotal());
    }

    /**
@@ -176,44 +167,30 @@
     */
    @Override
    public Result videoImportantPointImageOnlineRate(DataCenterQuery params) {
        // 先查出重点指挥图像点位的国标
        List<String> deptGBList = pointMapper.getDeptPointGB(2);
        List<String> likeFileds = Arrays.asList("arealayerName", "ipAddr", "deviceName", "deviceId");
        Query query = MongoUtil.getQuery(params, "deviceId", TIME_FIELD, likeFileds, deptGBList);
        params.setDeptTag(4);
        params.setDeviceType(1);
        IPage<PointDetailVO> page = PageUtil.getPage(params, PointDetailVO.class);
        pointMapper.dataCenterPage(page, params);

        long total = mongoTemplate.count(query, VideoOnlineResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
        List<VideoOnlineResult> resultList = mongoTemplate.find(query, VideoOnlineResult.class);
        // 统计设备数量
        Integer distinctCount = pointMapper.distinctCount(params);

        // 统计数量
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("uy_online");
        Document filter = new Document("deviceId", new Document("$in", deptGBList));
        // 构建聚合管道
        List<Document> pipeline = Arrays.asList(
                new Document("$match", filter),
                // $group 去重
                new Document("$group", new Document("_id", "$deviceId")),
                new Document("$count", "uniqueDeviceIds")
        );
        // 执行聚合查询并获取结果
        AggregateIterable<Document> result = collection.aggregate(pipeline);
        Integer uniqueDeviceIdCount = 0;
        for (Document doc : result) {
            uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
            break; // 不需要继续遍历，因为 $count 只会产生一个结果
        Date now = new Date();
        List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
                .select(CheckIndexVideo::getKeyCommandImageOnline)
                .eq(params.getDataType().equals(1), CheckIndexVideo::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexVideo::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexVideo::getKeyCommandImageOnline).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }

//        // 统计数
//        long nonNetwork = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("0")), VideoOnlineResult.class);
//        long network = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("1")), VideoOnlineResult.class);
//        long video = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*1.*")), VideoOnlineResult.class);
//        long car = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*2.*")), VideoOnlineResult.class);
//        long face = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*3.*")), VideoOnlineResult.class);
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", Arrays.asList(uniqueDeviceIdCount));
        map.put("list", resultList);
        return Result.ok().data(map).total(total);
        map.put("count", Arrays.asList(distinctCount + "", this.remove0(onlineRate)));
        map.put("list", page.getRecords());
        return Result.ok().data(map).total(page.getTotal());
    }

    /**
@@ -225,7 +202,7 @@
    @Override
    public Result videoOneMachineDocumentRegister(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("ip.showValue", "name.showValue", "serialNumber.showValue");
        Query query = MongoUtil.getQuery(params, "serialNumber.showValue", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, MonitorQualifyResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
@@ -235,13 +212,33 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("uy_monitor_qualify");

        Document ipErrFilter = new Document("ip.error", true);
        Document macdzErrFilter = new Document("macdz.error", true);
        Document latitudeErrFilter = new Document("latitude.error", true);
        Document longitudeErrFilter = new Document("longitude.error", true);
        List<Document> dList1 = new ArrayList<>(2);
        dList1.add(new Document("ip.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList1.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList2 = new ArrayList<>(2);
        dList2.add(new Document("macdz.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList2.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList3 = new ArrayList<>(2);
        dList3.add(new Document("latitude.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList3.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList4 = new ArrayList<>(2);
        dList4.add(new Document("longitude.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList4.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document ipErrFilter = new Document("$and", dList1);
        Document macdzErrFilter = new Document("$and", dList2);
        Document latitudeErrFilter = new Document("$and", dList3);
        Document longitudeErrFilter = new Document("$and", dList4);

        List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
        List<Integer> rList = lists.stream().map(filter -> {
        List<String> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -256,9 +253,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());

        Date now = new Date();
        List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
                .select(CheckIndexVideo::getMonitorRegistration)
                .eq(params.getDataType().equals(1), CheckIndexVideo::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexVideo::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexVideo::getMonitorRegistration).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        rList.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
@@ -274,7 +284,7 @@
    @Override
    public Result videoOneMachineDocumentQualified(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("ip.showValue", "name.showValue", "serialNumber.showValue");
        Query query = MongoUtil.getQuery(params, "serialNumber.showValue", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, MonitorQualifyResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
@@ -284,13 +294,33 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("uy_monitor_qualify");

        Document ipErrFilter = new Document("ip.error", true);
        Document macdzErrFilter = new Document("macdz.error", true);
        Document latitudeErrFilter = new Document("latitude.error", true);
        Document longitudeErrFilter = new Document("longitude.error", true);
        List<Document> dList1 = new ArrayList<>(2);
        dList1.add(new Document("ip.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList1.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList2 = new ArrayList<>(2);
        dList2.add(new Document("macdz.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList2.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList3 = new ArrayList<>(2);
        dList3.add(new Document("latitude.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList3.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList4 = new ArrayList<>(2);
        dList4.add(new Document("longitude.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList4.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document ipErrFilter = new Document("$and", dList1);
        Document macdzErrFilter = new Document("$and", dList2);
        Document latitudeErrFilter = new Document("$and", dList3);
        Document longitudeErrFilter = new Document("$and", dList4);

        List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
        List<Integer> rList = lists.stream().map(filter -> {
        List<String> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -305,9 +335,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());

        Date now = new Date();
        List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
                .select(CheckIndexVideo::getMonitorQualification)
                .eq(params.getDataType().equals(1), CheckIndexVideo::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexVideo::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexVideo::getMonitorQualification).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        rList.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
@@ -324,7 +367,7 @@
    public Result videoAssessmentFileRatio(DataCenterQuery params) {
        // TODO 新增一张表记录每次的档案考核
        List<String> likeFileds = Arrays.asList("ip.showValue", "name.showValue", "serialNumber.showValue");
        Query query = MongoUtil.getQuery(params, "serialNumber.showValue", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, MonitorQualifyResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
@@ -334,13 +377,33 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("uy_monitor_qualify");

        Document ipErrFilter = new Document("ip.error", true);
        Document macdzErrFilter = new Document("macdz.error", true);
        Document latitudeErrFilter = new Document("latitude.error", true);
        Document longitudeErrFilter = new Document("longitude.error", true);
        List<Document> dList1 = new ArrayList<>(2);
        dList1.add(new Document("ip.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList1.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList2 = new ArrayList<>(2);
        dList2.add(new Document("macdz.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList2.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList3 = new ArrayList<>(2);
        dList3.add(new Document("latitude.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList3.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList4 = new ArrayList<>(2);
        dList4.add(new Document("longitude.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList4.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document ipErrFilter = new Document("$and", dList1);
        Document macdzErrFilter = new Document("$and", dList2);
        Document latitudeErrFilter = new Document("$and", dList3);
        Document longitudeErrFilter = new Document("$and", dList4);

        List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
        List<Integer> rList = lists.stream().map(filter -> {
        List<String> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -355,9 +418,10 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());

        rList.add("0%");
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
@@ -373,7 +437,7 @@
    @Override
    public Result videoAvailabilityRate(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("deviceId", "deviceName");
        Query query = MongoUtil.getQuery(params, "deviceId", "createTime", likeFileds, null);
        Query query = MongoUtil.getQuery(params,"createTime", likeFileds, null);

        long total = mongoTemplate.count(query, RecordMetaDSumResult.class);
        MongoUtil.setPage(query, params, "createTime");
@@ -383,8 +447,13 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("uy_record_meta_d_sum");
        List<Integer> status = Arrays.asList(1, 0, -1);
        List<Integer> resultCount = status.stream().map(item -> {
            Document filter = new Document("recordStatus", item);
        List<String> resultCount = status.stream().map(item -> {
            List<Document> dList = new ArrayList<>(2);
            dList.add(new Document("recordStatus", new Document("$eq", item)));
            if (params.getDataType().equals(1)) {
                dList.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
            }
            Document filter = new Document("$and", dList);
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -399,10 +468,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());


        Date now = new Date();
        List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
                .select(CheckIndexVideo::getVideoAvailable)
                .eq(params.getDataType().equals(1), CheckIndexVideo::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexVideo::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexVideo::getVideoAvailable).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        resultCount.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", resultCount);
        map.put("list", resultList);
@@ -417,10 +498,8 @@
     */
    @Override
    public Result deptVideoAvailabilityRate(DataCenterQuery params) {

        List<String> deptGBList = pointMapper.getDeptPointGB(0);
        List<String> likeFileds = Arrays.asList("deviceId", "deviceName");
        Query query = MongoUtil.getQuery(params, "deviceId", "createTime", likeFileds, deptGBList);
        Query query = MongoUtil.getQuery(params,"createTime", likeFileds, 1);

        long total = mongoTemplate.count(query, RecordMetaDSumResult.class);
        MongoUtil.setPage(query, params, "createTime");
@@ -430,11 +509,14 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("uy_record_meta_d_sum");
        List<Integer> status = Arrays.asList(1, 0, -1);
        List<Integer> resultCount = status.stream().map(item -> {
            Document filter = new Document("$and", Arrays.asList(
                    new Document("deviceId", new Document("$in", deptGBList)), // $in 条件
                    new Document("recordStatus", item)
            ));
        List<String> resultCount = status.stream().map(item -> {
            List<Document> dList = new ArrayList<>(4);
            dList.add(new Document("deptTag", new Document("$eq", Boolean.TRUE)));
            dList.add(new Document("recordStatus",  new Document("$eq", item)));
            if (params.getDataType().equals(1)) {
                dList.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
            }
            Document filter = new Document("$and", dList);
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -449,10 +531,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());


        Date now = new Date();
        List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
                .select(CheckIndexVideo::getMinistryVideoAvailable)
                .eq(params.getDataType().equals(1), CheckIndexVideo::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexVideo::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexVideo::getMinistryVideoAvailable).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        resultCount.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", resultCount);
        map.put("list", resultList);
@@ -467,10 +561,8 @@
     */
    @Override
    public Result videoImportantPointAvailabilityRate(DataCenterQuery params) {

        List<String> deptGBList = pointMapper.getDeptPointGB(1);
        List<String> likeFileds = Arrays.asList("deviceId", "deviceName");
        Query query = MongoUtil.getQuery(params, "deviceId", "createTime", likeFileds, deptGBList);
        Query query = MongoUtil.getQuery(params,"createTime", likeFileds, 3);

        long total = mongoTemplate.count(query, RecordMetaDSumResult.class);
        MongoUtil.setPage(query, params, "createTime");
@@ -480,11 +572,14 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("uy_record_meta_d_sum");
        List<Integer> status = Arrays.asList(1, 0, -1);
        List<Integer> resultCount = status.stream().map(item -> {
            Document filter = new Document("$and", Arrays.asList(
                    new Document("deviceId", new Document("$in", deptGBList)), // $in 条件
                    new Document("recordStatus", item)
            ));
        List<String> resultCount = status.stream().map(item -> {
            List<Document> dList = new ArrayList<>(4);
            dList.add(new Document("importantTag", new Document("$eq", Boolean.TRUE)));
            dList.add(new Document("recordStatus", new Document("$eq", item)));
            if (params.getDataType().equals(1)) {
                dList.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
            }
            Document filter = new Document("$and", dList);
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -499,9 +594,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "%";
        }).collect(Collectors.toList());

        Date now = new Date();
        List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
                .select(CheckIndexVideo::getKeyVideoAvailable)
                .eq(params.getDataType().equals(1), CheckIndexVideo::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexVideo::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexVideo::getKeyVideoAvailable).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        resultCount.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", resultCount);
        map.put("list", resultList);
@@ -517,7 +625,7 @@
    @Override
    public Result videoLabelingAccuracy(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("deviceId", "deviceName");
        Query query = MongoUtil.getQuery(params, "deviceId", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, RecordMetaDSumResult.class);
        List<RecordMetaDSumResult> resultList = mongoTemplate.find(query, RecordMetaDSumResult.class);
@@ -541,10 +649,8 @@
     */
    @Override
    public Result videoImportantPointLabelingAccuracy(DataCenterQuery params) {

        List<String> deptGBList = pointMapper.getDeptPointGB(1);
        List<String> likeFileds = Arrays.asList("deviceNo", "osdName");
        Query query = MongoUtil.getQuery(params, "deviceNo", "checkTime", likeFileds, deptGBList);
        Query query = MongoUtil.getQuery(params,"checkTime", likeFileds, 3);

        long total = mongoTemplate.count(query, OsdCheckResult.class);
        MongoUtil.setPage(query, params, "checkTime");
@@ -554,12 +660,36 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("osd_check_result");

        Document osdNameFilter = new Document("osdNameCorrect", 1);
        Document osdNameErrFilter = new Document("osdNameCorrect", -1);
        Document osdTimeFilter = new Document("osdTimeCorrect", 1);
        Document osdTimeErrFilter = new Document("osdTimeCorrect", -1);
        List<Document> dList1 = new ArrayList<>(2);
        dList1.add(new Document("importantTag", Boolean.TRUE));
        dList1.add(new Document("osdNameCorrect", new Document("$eq", 1)));
        if (params.getDataType().equals(1)) {
            dList1.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList2 = new ArrayList<>(2);
        dList2.add(new Document("importantTag", Boolean.TRUE));
        dList2.add(new Document("osdNameCorrect", new Document("$eq", -1)));
        if (params.getDataType().equals(1)) {
            dList2.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList3 = new ArrayList<>(2);
        dList3.add(new Document("importantTag", Boolean.TRUE));
        dList3.add(new Document("osdTimeCorrect", new Document("$eq", 1)));
        if (params.getDataType().equals(1)) {
            dList3.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList4 = new ArrayList<>(2);
        dList4.add(new Document("importantTag", Boolean.TRUE));
        dList4.add(new Document("osdTimeCorrect", new Document("$eq", -1)));
        if (params.getDataType().equals(1)) {
            dList4.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document osdNameFilter = new Document("$and", dList1);
        Document osdNameErrFilter = new Document("$and", dList2);
        Document osdTimeFilter = new Document("$and", dList3);
        Document osdTimeErrFilter = new Document("$and", dList4);
        List<Document> lists = Arrays.asList(osdNameFilter, osdNameErrFilter, osdTimeFilter, osdTimeErrFilter);
        List<Integer> rList = lists.stream().map(filter -> {
        List<String> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -574,10 +704,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());


        Date now = new Date();
        List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
                .select(CheckIndexVideo::getKeyAnnotationAccuracy)
                .eq(params.getDataType().equals(1), CheckIndexVideo::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexVideo::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexVideo::getKeyAnnotationAccuracy).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        rList.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
@@ -594,7 +736,7 @@
    public Result videoCheckTimeAccuracy(DataCenterQuery params) {

        List<String> likeFileds = Arrays.asList("deviceId");
        Query query = MongoUtil.getQuery(params, "deviceId", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, OneMachineFileResult.class);
        List<OneMachineFileResult> resultList = mongoTemplate.find(query, OneMachineFileResult.class);
@@ -619,9 +761,8 @@
    @Override
    public Result videoImportantPointCheckTimeAccuracy(DataCenterQuery params) {

        List<String> deptGBList = pointMapper.getDeptPointGB(1);
        List<String> likeFileds = Arrays.asList("deviceNo", "osdName");
        Query query = MongoUtil.getQuery(params, "deviceNo", "checkTime", likeFileds, deptGBList);
        Query query = MongoUtil.getQuery(params,"checkTime", likeFileds, 3);

        long total = mongoTemplate.count(query, OsdCheckResult.class);
        MongoUtil.setPage(query, params, "checkTime");
@@ -631,10 +772,22 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("osd_check_result");

        Document osdTimeFilter = new Document("osdTimeCorrect", 1);
        Document osdTimeErrFilter = new Document("osdTimeCorrect", -1);
        List<Document> dList1 = new ArrayList<>(2);
        dList1.add(new Document("importantTag", Boolean.TRUE));
        dList1.add(new Document("osdTimeCorrect", new Document("$eq", 1)));
        if (params.getDataType().equals(1)) {
            dList1.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList2 = new ArrayList<>(2);
        dList2.add(new Document("importantTag", Boolean.TRUE));
        dList2.add(new Document("osdTimeCorrect", new Document("$eq", -1)));
        if (params.getDataType().equals(1)) {
            dList2.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document osdTimeFilter = new Document("$and", dList1);
        Document osdTimeErrFilter = new Document("$and", dList2);
        List<Document> lists = Arrays.asList(osdTimeFilter, osdTimeErrFilter);
        List<Integer> rList = lists.stream().map(filter -> {
        List<String> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -649,9 +802,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());

        Date now = new Date();
        List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
                .select(CheckIndexVideo::getKeyTimingAccuracy)
                .eq(params.getDataType().equals(1), CheckIndexVideo::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexVideo::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexVideo::getKeyTimingAccuracy).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        rList.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
@@ -668,7 +834,7 @@
    @Override
    public Result vehicleViewDockStable(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, SnapshotDataMonitorResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
@@ -678,12 +844,36 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("hk_snapshot_data_monitor");

        Document normalFilter = new Document("resultType", 1);
        Document noDataFilter = new Document("resultType", 2);
        Document trFilter = new Document("resultType", 3);
        Document littleFilter = new Document("resultType", 4);
        List<Document> dList1 = new ArrayList<>(2);
        dList1.add(new Document("importantTag", Boolean.TRUE));
        dList1.add(new Document("resultType", new Document("$eq", 1)));
        if (params.getDataType().equals(1)) {
            dList1.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList2 = new ArrayList<>(2);
        dList2.add(new Document("importantTag", Boolean.TRUE));
        dList2.add(new Document("resultType", new Document("$eq", 2)));
        if (params.getDataType().equals(1)) {
            dList2.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList3 = new ArrayList<>(2);
        dList3.add(new Document("importantTag", Boolean.TRUE));
        dList3.add(new Document("resultType", new Document("$eq", 3)));
        if (params.getDataType().equals(1)) {
            dList3.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList4 = new ArrayList<>(2);
        dList4.add(new Document("importantTag", Boolean.TRUE));
        dList4.add(new Document("resultType", new Document("$eq", 4)));
        if (params.getDataType().equals(1)) {
            dList4.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document normalFilter = new Document("$and", dList1);
        Document noDataFilter = new Document("$and", dList2);
        Document trFilter = new Document("$and", dList3);
        Document littleFilter = new Document("$and", dList4);
        List<Document> lists = Arrays.asList(normalFilter, noDataFilter, trFilter, littleFilter);
        List<Integer> rList = lists.stream().map(filter -> {
        List<String> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -698,9 +888,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());

        Date now = new Date();
        List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
                .select(CheckIndexCar::getViewConnectStability)
                .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexCar::getViewConnectStability).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        rList.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
@@ -715,22 +918,30 @@
     */
    @Override
    public Result vehiclePointOnlineRate(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        params.setDeptTag(-1);
        params.setDeviceType(2);
        IPage<PointDetailVO> page = PageUtil.getPage(params, PointDetailVO.class);
        pointMapper.dataCenterPage(page, params);

        long total = mongoTemplate.count(query, SnapshotDataMonitorResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
        List<SnapshotDataMonitorResult> resultList = mongoTemplate.find(query, SnapshotDataMonitorResult.class);
        // 统计设备数量
        Integer distinctCount = pointMapper.distinctCount(params);

        // 统计数量
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("hk_snapshot_data_monitor");
        long distinctCount = collection.distinct("externalIndexCode", String.class).into(new ArrayList<>()).size();

        Date now = new Date();
        List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
                .select(CheckIndexCar::getSiteOnline)
                .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexCar::getSiteOnline).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", Arrays.asList(distinctCount));
        map.put("list", resultList);
        return Result.ok().data(map).total(total);
        map.put("count", Arrays.asList(distinctCount + "", this.remove0(onlineRate)));
        map.put("list", page.getRecords());
        return Result.ok().data(map).total(page.getTotal());
    }

    /**
@@ -742,7 +953,7 @@
    @Override
    public Result vehicleNetDeviceDirectoryConsistency(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("ip.showValue", "name.showValue", "serialNumber.showValue");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, MonitorQualifyResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
@@ -752,13 +963,32 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("uy_monitor_qualify");

        Document ipErrFilter = new Document("ip.error", true);
        Document macdzErrFilter = new Document("macdz.error", true);
        Document latitudeErrFilter = new Document("latitude.error", true);
        Document longitudeErrFilter = new Document("longitude.error", true);

        List<Document> dList1 = new ArrayList<>(2);
        dList1.add(new Document("ip.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList1.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList2 = new ArrayList<>(2);
        dList2.add(new Document("macdz.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList2.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList3 = new ArrayList<>(2);
        dList3.add(new Document("latitude.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList3.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList4 = new ArrayList<>(2);
        dList4.add(new Document("longitude.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList4.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document ipErrFilter = new Document("$and", dList1);
        Document macdzErrFilter = new Document("$and", dList2);
        Document latitudeErrFilter = new Document("$and", dList3);
        Document longitudeErrFilter = new Document("$and", dList4);
        List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
        List<Integer> rList = lists.stream().map(filter -> {
        List<String> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -773,9 +1003,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());

        Date now = new Date();
        List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
                .select(CheckIndexCar::getDeviceDirectoryConsistent)
                .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexCar::getDeviceDirectoryConsistent).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        rList.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
@@ -791,7 +1034,7 @@
    @Override
    public Result vehicleCollectionConsistency(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "crossName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, CrossDetailResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
@@ -801,13 +1044,33 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("hk_cross_detail");

        Document ipErrFilter = new Document("lalType", 1);
        Document macdzErrFilter = new Document("lalType", 2);
        Document latitudeErrFilter = new Document("lalType", 3);
        Document longitudeErrFilter = new Document("lalType", 4);
        List<Document> dList1 = new ArrayList<>(2);
        dList1.add(new Document("lalType", new Document("$eq", 1)));
        if (params.getDataType().equals(1)) {
            dList1.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList2 = new ArrayList<>(2);
        dList2.add(new Document("lalType", new Document("$eq", 2)));
        if (params.getDataType().equals(1)) {
            dList2.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList3 = new ArrayList<>(2);
        dList3.add(new Document("lalType", new Document("$eq", 3)));
        if (params.getDataType().equals(1)) {
            dList3.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList4 = new ArrayList<>(2);
        dList4.add(new Document("lalType", new Document("$eq", 4)));
        if (params.getDataType().equals(1)) {
            dList4.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document ipErrFilter = new Document("$and", dList1);
        Document macdzErrFilter = new Document("$and", dList2);
        Document latitudeErrFilter = new Document("$and", dList3);
        Document longitudeErrFilter = new Document("$and", dList4);

        List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
        List<Integer> rList = lists.stream().map(filter -> {
        List<String> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -822,9 +1085,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());

        Date now = new Date();
        List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
                .select(CheckIndexCar::getVehicleInformationCollectionAccuracy)
                .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexCar::getVehicleInformationCollectionAccuracy).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        rList.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
@@ -840,7 +1116,7 @@
    @Override
    public Result vehicleCollectionDataIntegrity(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, DataIntegrityMonitoringResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
@@ -850,8 +1126,21 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("hk_data_integrity_monitoring");

        Date now = new Date();
        List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
                .select(CheckIndexCar::getVehicleCaptureIntegrity)
                .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexCar::getVehicleCaptureIntegrity).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }

        HashMap<String, Object> map = new HashMap<>();
        map.put("count", CollectionUtils.EMPTY_COLLECTION);
        map.put("count", Arrays.asList(this.remove0(onlineRate)));
        map.put("list", resultList);
        return Result.ok().data(map).total(total);
    }
@@ -865,14 +1154,26 @@
    @Override
    public Result vehicleCollectionDataCaptured(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, AttrRecognitionMonitorResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
        List<AttrRecognitionMonitorResult> resultList = mongoTemplate.find(query, AttrRecognitionMonitorResult.class);
        // 统计数

        Date now = new Date();
        List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
                .select(CheckIndexCar::getVehicleCaptureAccuracy)
                .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexCar::getVehicleCaptureAccuracy).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", CollectionUtils.EMPTY_COLLECTION);
        map.put("count", Arrays.asList(this.remove0(onlineRate)));
        map.put("list", resultList);
        return Result.ok().data(map).total(total);
    }
@@ -886,7 +1187,7 @@
    @Override
    public Result vehicleClockAccuracy(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, VehicleDeviceInspectionResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
@@ -897,12 +1198,27 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("hk_vehicle_device_inspection");

        Document ipErrFilter = new Document("snapResult", 1);
        Document macdzErrFilter = new Document("snapResult", 2);
        Document longitudeErrFilter = new Document("snapResult", 4);
        List<Document> dList1 = new ArrayList<>(2);
        dList1.add(new Document("snapResult", new Document("$eq", 1)));
        if (params.getDataType().equals(1)) {
            dList1.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList2 = new ArrayList<>(2);
        dList2.add(new Document("snapResult", new Document("$eq", 2)));
        if (params.getDataType().equals(1)) {
            dList2.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList3 = new ArrayList<>(2);
        dList3.add(new Document("snapResult", new Document("$eq", 4)));
        if (params.getDataType().equals(1)) {
            dList3.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document ipErrFilter = new Document("$and", dList1);
        Document macdzErrFilter = new Document("$and", dList2);
        Document longitudeErrFilter = new Document("$and", dList3);

        List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, longitudeErrFilter);
        List<Integer> rList = lists.stream().map(filter -> {
        List<String> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -917,9 +1233,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());

        Date now = new Date();
        List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
                .select(CheckIndexCar::getVehicleTimingAccuracy)
                .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexCar::getVehicleTimingAccuracy).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        rList.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
@@ -935,14 +1264,27 @@
    @Override
    public Result vehicleTimelyUploadAccuracy(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, SnapshotDelayMonitorResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
        List<SnapshotDelayMonitorResult> resultList = mongoTemplate.find(query, SnapshotDelayMonitorResult.class);

        // 统计数
        Date now = new Date();
        List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
                .select(CheckIndexCar::getVehicleUploadTimeliness)
                .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexCar::getVehicleUploadTimeliness).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", CollectionUtils.EMPTY_COLLECTION);
        map.put("count", Arrays.asList(this.remove0(onlineRate)));
        map.put("list", resultList);
        return Result.ok().data(map).total(total);
    }
@@ -956,14 +1298,27 @@
    @Override
    public Result vehicleUrlAccuracy(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, PicAccessResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
        List<PicAccessResult> resultList = mongoTemplate.find(query, PicAccessResult.class);

        // 统计数
        Date now = new Date();
        List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
                .select(CheckIndexCar::getVehicleUrlAvailability)
                .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexCar::getVehicleUrlAvailability).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", CollectionUtils.EMPTY_COLLECTION);
        map.put("count", Arrays.asList(this.remove0(onlineRate)));
        map.put("list", resultList);
        return Result.ok().data(map).total(total);
    }
@@ -977,14 +1332,27 @@
    @Override
    public Result vehicleBigImgAccuracy(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, VehicleDeviceSamplingResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
        List<VehicleDeviceSamplingResult> resultList = mongoTemplate.find(query, VehicleDeviceSamplingResult.class);

        // 统计数
        Date now = new Date();
        List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
                .select(CheckIndexCar::getVehiclePictureAvailability)
                .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexCar::getVehiclePictureAvailability).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", CollectionUtils.EMPTY_COLLECTION);
        map.put("count", Arrays.asList(this.remove0(onlineRate)));
        map.put("list", resultList);
        return Result.ok().data(map).total(total);
    }
@@ -998,7 +1366,7 @@
    @Override
    public Result faceViewDockStable(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, SnapshotDataMonitorResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
@@ -1008,12 +1376,32 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("hk_snapshot_data_monitor");

        Document normalFilter = new Document("resultType", 1);
        Document noDataFilter = new Document("resultType", 2);
        Document trFilter = new Document("resultType", 3);
        Document littleFilter = new Document("resultType", 4);
        List<Document> dList1 = new ArrayList<>(2);
        dList1.add(new Document("resultType", new Document("$eq", 1)));
        if (params.getDataType().equals(1)) {
            dList1.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList2 = new ArrayList<>(2);
        dList2.add(new Document("resultType", new Document("$eq", 2)));
        if (params.getDataType().equals(1)) {
            dList2.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList3 = new ArrayList<>(2);
        dList3.add(new Document("resultType", new Document("$eq", 3)));
        if (params.getDataType().equals(1)) {
            dList3.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList4 = new ArrayList<>(2);
        dList4.add(new Document("resultType", new Document("$eq", 4)));
        if (params.getDataType().equals(1)) {
            dList4.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document normalFilter = new Document("$and", dList1);
        Document noDataFilter = new Document("$and", dList2);
        Document trFilter = new Document("$and", dList3);
        Document littleFilter = new Document("$and", dList4);
        List<Document> lists = Arrays.asList(normalFilter, noDataFilter, trFilter, littleFilter);
        List<Integer> rList = lists.stream().map(filter -> {
        List<String> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -1028,9 +1416,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());

        Date now = new Date();
        List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
                .select(CheckIndexFace::getViewConnectStability)
                .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexFace::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexFace::getViewConnectStability).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        rList.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
@@ -1045,44 +1446,33 @@
     */
    @Override
    public Result facePointOnlineRate(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        params.setDeptTag(-1);
        params.setDeviceType(3);
        IPage<PointDetailVO> page = PageUtil.getPage(params, PointDetailVO.class);
        pointMapper.dataCenterPage(page, params);

        long total = mongoTemplate.count(query, SnapshotDataMonitorResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
        List<SnapshotDataMonitorResult> resultList = mongoTemplate.find(query, SnapshotDataMonitorResult.class);
        // 统计设备数量
        Integer distinctCount = pointMapper.distinctCount(params);

        // 统计数量
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("hk_snapshot_data_monitor");

        Document normalFilter = new Document("resultType", 1);
        Document noDataFilter = new Document("resultType", 2);
        Document trFilter = new Document("resultType", 3);
        Document littleFilter = new Document("resultType", 4);
        List<Document> lists = Arrays.asList(normalFilter, noDataFilter, trFilter, littleFilter);
        List<Integer> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
                    // $group 去重
                    new Document("$group", new Document("_id", "$externalIndexCode")),
                    new Document("$count", "uniqueDeviceIds")
            );
            // 执行聚合查询并获取结果
            AggregateIterable<Document> result = collection.aggregate(pipeline);
            Integer uniqueDeviceIdCount = 0;
            for (Document doc : result) {
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
        }).collect(Collectors.toList());

        Date now = new Date();
        List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
                .select(CheckIndexFace::getSiteOnline)
                .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexFace::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexFace::getSiteOnline).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        List<String> rList = new ArrayList<>(2);
        rList.add(distinctCount + "");
        rList.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
        return Result.ok().data(map).total(total);
        map.put("list", page.getRecords());
        return Result.ok().data(map).total(page.getTotal());
    }

    /**
@@ -1094,7 +1484,7 @@
    @Override
    public Result faceDirectoryConsistency(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("serialNumber.showValue", "ip.showValue", "name.showValue");
        Query query = MongoUtil.getQuery(params, "serialNumber.showValue", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, MonitorQualifyResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
@@ -1104,13 +1494,32 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("uy_monitor_qualify");

        Document ipErrFilter = new Document("ip.error", true);
        Document macdzErrFilter = new Document("macdz.error", true);
        Document latitudeErrFilter = new Document("latitude.error", true);
        Document longitudeErrFilter = new Document("longitude.error", true);

        List<Document> dList1 = new ArrayList<>(2);
        dList1.add(new Document("ip.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList1.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList2 = new ArrayList<>(2);
        dList2.add(new Document("macdz.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList2.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList3 = new ArrayList<>(2);
        dList3.add(new Document("latitude.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList3.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList4 = new ArrayList<>(2);
        dList4.add(new Document("longitude.error", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList4.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document ipErrFilter = new Document("$and", dList1);
        Document macdzErrFilter = new Document("$and", dList2);
        Document latitudeErrFilter = new Document("$and", dList3);
        Document longitudeErrFilter = new Document("$and", dList4);
        List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
        List<Integer> rList = lists.stream().map(filter -> {
        List<String> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -1125,9 +1534,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());

        Date now = new Date();
        List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
                .select(CheckIndexFace::getDeviceDirectoryConsistent)
                .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexFace::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexFace::getDeviceDirectoryConsistent).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        rList.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
@@ -1143,7 +1565,7 @@
    @Override
    public Result faceCollectionConsistency(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "crossName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, CrossDetailResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
@@ -1153,13 +1575,32 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("hk_cross_detail");

        Document ipErrFilter = new Document("lalType", 1);
        Document macdzErrFilter = new Document("lalType", 2);
        Document latitudeErrFilter = new Document("lalType", 3);
        Document longitudeErrFilter = new Document("lalType", 4);

        List<Document> dList1 = new ArrayList<>(2);
        dList1.add(new Document("lalType", new Document("$eq", 1)));
        if (params.getDataType().equals(1)) {
            dList1.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList2 = new ArrayList<>(2);
        dList2.add(new Document("lalType", new Document("$eq", 2)));
        if (params.getDataType().equals(1)) {
            dList2.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList3 = new ArrayList<>(2);
        dList3.add(new Document("lalType", new Document("$eq", 3)));
        if (params.getDataType().equals(1)) {
            dList3.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList4 = new ArrayList<>(2);
        dList4.add(new Document("lalType", new Document("$eq", 4)));
        if (params.getDataType().equals(1)) {
            dList4.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document ipErrFilter = new Document("$and", dList1);
        Document macdzErrFilter = new Document("$and", dList2);
        Document latitudeErrFilter = new Document("$and", dList3);
        Document longitudeErrFilter = new Document("$and", dList4);
        List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
        List<Integer> rList = lists.stream().map(filter -> {
        List<String> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -1174,9 +1615,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());

        Date now = new Date();
        List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
                .select(CheckIndexFace::getFaceInformationCollectionAccuracy)
                .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexFace::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexFace::getFaceInformationCollectionAccuracy).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        rList.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
@@ -1192,7 +1646,7 @@
    @Override
    public Result faceImgQualification(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "cameraName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, MonitoringDetailResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
@@ -1202,13 +1656,33 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("hk_monitoring_detail");

        Document ipErrFilter = new Document("lalType", 1);
        Document macdzErrFilter = new Document("lalType", 2);
        Document latitudeErrFilter = new Document("lalType", 3);
        Document longitudeErrFilter = new Document("lalType", 4);
        List<Document> dList1 = new ArrayList<>(2);
        dList1.add(new Document("lalType", new Document("$eq", 1)));
        if (params.getDataType().equals(1)) {
            dList1.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList2 = new ArrayList<>(2);
        dList2.add(new Document("lalType", new Document("$eq", 2)));
        if (params.getDataType().equals(1)) {
            dList2.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList3 = new ArrayList<>(2);
        dList3.add(new Document("lalType", new Document("$eq", 3)));
        if (params.getDataType().equals(1)) {
            dList3.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList4 = new ArrayList<>(2);
        dList4.add(new Document("lalType", new Document("$eq", 4)));
        if (params.getDataType().equals(1)) {
            dList4.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document ipErrFilter = new Document("$and", dList1);
        Document macdzErrFilter = new Document("$and", dList2);
        Document latitudeErrFilter = new Document("$and", dList3);
        Document longitudeErrFilter = new Document("$and", dList4);

        List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, latitudeErrFilter, longitudeErrFilter);
        List<Integer> rList = lists.stream().map(filter -> {
        List<String> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -1223,9 +1697,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());

        Date now = new Date();
        List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
                .select(CheckIndexFace::getFacePictureQualification)
                .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexFace::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexFace::getFacePictureQualification).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        rList.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
@@ -1241,7 +1728,7 @@
    @Override
    public Result faceCapturesImagesAccuracy(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, FaceDeviceInspectionResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
@@ -1251,12 +1738,27 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("hk_vehicle_device_inspection");

        Document ipErrFilter = new Document("snapResult", 1);
        Document macdzErrFilter = new Document("snapResult", 2);
        Document longitudeErrFilter = new Document("snapResult", 4);
        List<Document> dList1 = new ArrayList<>(2);
        dList1.add(new Document("snapResult", new Document("$eq", 1)));
        if (params.getDataType().equals(1)) {
            dList1.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList2 = new ArrayList<>(2);
        dList2.add(new Document("snapResult", new Document("$eq", 2)));
        if (params.getDataType().equals(1)) {
            dList2.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList3 = new ArrayList<>(2);
        dList3.add(new Document("snapResult", new Document("$eq", 4)));
        if (params.getDataType().equals(1)) {
            dList3.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document ipErrFilter = new Document("$and", dList1);
        Document macdzErrFilter = new Document("$and", dList2);
        Document longitudeErrFilter = new Document("$and", dList3);

        List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, longitudeErrFilter);
        List<Integer> rList = lists.stream().map(filter -> {
        List<String> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -1271,9 +1773,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());

        Date now = new Date();
        List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
                .select(CheckIndexFace::getFaceTimingAccuracy)
                .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexFace::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexFace::getFaceTimingAccuracy).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        rList.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
@@ -1289,7 +1804,7 @@
    @Override
    public Result faceTimelyUpload(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, FaceDeviceInspectionResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
@@ -1299,12 +1814,27 @@
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("hk_vehicle_device_inspection");

        Document ipErrFilter = new Document("snapResult", 1);
        Document macdzErrFilter = new Document("snapResult", 2);
        Document longitudeErrFilter = new Document("snapResult", 4);
        List<Document> dList1 = new ArrayList<>(2);
        dList1.add(new Document("snapResult", new Document("$eq", 1)));
        if (params.getDataType().equals(1)) {
            dList1.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList2 = new ArrayList<>(2);
        dList2.add(new Document("snapResult", new Document("$eq", 2)));
        if (params.getDataType().equals(1)) {
            dList2.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        List<Document> dList3 = new ArrayList<>(2);
        dList3.add(new Document("snapResult", new Document("$eq", 4)));
        if (params.getDataType().equals(1)) {
            dList3.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document ipErrFilter = new Document("$and", dList1);
        Document macdzErrFilter = new Document("$and", dList2);
        Document longitudeErrFilter = new Document("$and", dList3);

        List<Document> lists = Arrays.asList(ipErrFilter, macdzErrFilter, longitudeErrFilter);
        List<Integer> rList = lists.stream().map(filter -> {
        List<String> rList = lists.stream().map(filter -> {
            // 构建聚合管道
            List<Document> pipeline = Arrays.asList(
                    new Document("$match", filter),
@@ -1319,9 +1849,22 @@
                uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds");
                break; // 不需要继续遍历，因为 $count 只会产生一个结果
            }
            return uniqueDeviceIdCount;
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());

        Date now = new Date();
        List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
                .select(CheckIndexFace::getFaceUploadTimeliness)
                .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexFace::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexFace::getFaceUploadTimeliness).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        rList.add(this.remove0(onlineRate));
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", rList);
        map.put("list", resultList);
@@ -1337,14 +1880,28 @@
    @Override
    public Result faceAvailabilityOfLargeImg(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
        Query query = MongoUtil.getQuery(params, "externalIndexCode", TIME_FIELD, likeFileds, null);
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);

        long total = mongoTemplate.count(query, FaceDeviceSamplingResult.class);
        MongoUtil.setPage(query, params, TIME_FIELD);
        List<FaceDeviceSamplingResult> resultList = mongoTemplate.find(query, FaceDeviceSamplingResult.class);

        // 统计数
        Date now = new Date();
        List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
                .select(CheckIndexFace::getFacePictureAvailability)
                .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
                .between(CheckIndexFace::getCreateTime, DateUtils.getDayStart(now), DateUtils.getDayEnd(now))
                .list();
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (CollectionUtils.isNotEmpty(videoList)) {
            BigDecimal sum = videoList.stream().map(CheckIndexFace::getFacePictureAvailability).reduce(BigDecimal.ZERO, BigDecimal::add);
            BigDecimal count = BigDecimal.valueOf(videoList.size());
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }

        HashMap<String, Object> map = new HashMap<>();
        map.put("count", CollectionUtils.EMPTY_COLLECTION);
        map.put("count", Arrays.asList(this.remove0(onlineRate)));
        map.put("list", resultList);
        return Result.ok().data(map).total(total);
    }
@@ -1366,4 +1923,14 @@
        return Result.ok().data(map).total(page.getTotal());

    }

    /**
     * 删除尾部的0
     * @param rate
     * @return
     */
    private String remove0(BigDecimal rate) {
        DF.setDecimalSeparatorAlwaysShown(false);
        return DF.format(rate) + "%";
    }
}