parent: fb13447f | 补丁 | 提交 | ignore whitespace
率
xiangpei
2024-09-05 3b146767b38a6bde685867143d397b5ece3339ea 
率
2个文件已修改
420 ■■■■■ 已修改文件
ycl-server/src/main/java/com/ycl/platform/service/impl/DataCenterServiceImpl.java 387 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ycl-server/src/main/java/com/ycl/utils/MongoUtil.java 33 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 
 ycl-server/src/main/java/com/ycl/platform/service/impl/DataCenterServiceImpl.java


@@ -7,18 +7,13 @@


import com.mongodb.client.AggregateIterable;


import com.mongodb.client.MongoCollection;


import com.mongodb.client.MongoDatabase;


import com.ycl.platform.domain.entity.CheckIndexVideo;


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.mapper.ImageResourceSecurityDetailMapper;


import com.ycl.platform.mapper.YwPointMapper;


import com.ycl.platform.service.DataCenterService;


import com.ycl.platform.service.ICheckIndexCarService;


import com.ycl.platform.service.ICheckIndexVideoService;


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;


@@ -52,6 +47,8 @@


    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";


@@ -66,7 +63,7 @@


    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);


        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);




        // 先查总数再分页


        long total = mongoTemplate.count(query, VideoOnlineResult.class);


@@ -102,11 +99,10 @@


     */


    @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);


        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, 1);




        // 先查总数再分页


        long total = mongoTemplate.count(query, VideoOnlineResult.class);


@@ -116,7 +112,7 @@


        // 统计数量


        MongoDatabase database = mongoTemplate.getDb();


        MongoCollection<Document> collection = database.getCollection("uy_online");


        Document filter = new Document("deviceId", new Document("$in", deptGBList));


        Document filter = new Document("deptTag", new Document("$eq", Boolean.TRUE));


        // 构建聚合管道


        List<Document> pipeline = Arrays.asList(


                // 只要部级的


@@ -157,10 +153,8 @@


     */


    @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);


        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, 3);




        long total = mongoTemplate.count(query, VideoOnlineResult.class);


        MongoUtil.setPage(query, params, TIME_FIELD);


@@ -169,7 +163,7 @@


        // 统计数量


        MongoDatabase database = mongoTemplate.getDb();


        MongoCollection<Document> collection = database.getCollection("uy_online");


        Document filter = new Document("deviceId", new Document("$in", deptGBList));


        Document filter = new Document("importantTag", new Document("$eq", Boolean.TRUE));


        // 构建聚合管道


        List<Document> pipeline = Arrays.asList(


                new Document("$match", filter),


@@ -210,10 +204,8 @@


     */


    @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);


        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, 4);




        long total = mongoTemplate.count(query, VideoOnlineResult.class);


        MongoUtil.setPage(query, params, TIME_FIELD);


@@ -222,7 +214,7 @@


        // 统计数量


        MongoDatabase database = mongoTemplate.getDb();


        MongoCollection<Document> collection = database.getCollection("uy_online");


        Document filter = new Document("deviceId", new Document("$in", deptGBList));


        Document filter = new Document("importantCommandImageTag", new Document("$eq", Boolean.TRUE));


        // 构建聚合管道


        List<Document> pipeline = Arrays.asList(


                new Document("$match", filter),


@@ -264,7 +256,7 @@


    @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);


@@ -325,7 +317,7 @@


    @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);


@@ -387,7 +379,7 @@


    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);


@@ -437,7 +429,7 @@


    @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");


@@ -492,10 +484,8 @@


     */


    @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");


@@ -507,7 +497,7 @@


        List<Integer> status = Arrays.asList(1, 0, -1);


        List<String> resultCount = status.stream().map(item -> {


            Document filter = new Document("$and", Arrays.asList(


                    new Document("deviceId", new Document("$in", deptGBList)), // $in 条件


                    new Document("deptTag", new Document("$eq", Boolean.TRUE)),


                    new Document("recordStatus", item)


            ));


            // 构建聚合管道


@@ -553,10 +543,8 @@


     */


    @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");


@@ -568,7 +556,7 @@


        List<Integer> status = Arrays.asList(1, 0, -1);


        List<String> resultCount = status.stream().map(item -> {


            Document filter = new Document("$and", Arrays.asList(


                    new Document("deviceId", new Document("$in", deptGBList)), // $in 条件


                    new Document("importantTag", new Document("$eq", Boolean.TRUE)),


                    new Document("recordStatus", item)


            ));


            // 构建聚合管道


@@ -615,7 +603,7 @@


    @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);


@@ -639,10 +627,8 @@


     */


    @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");


@@ -652,10 +638,11 @@


        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);


        Document importantTag = new Document("importantTag", Boolean.TRUE);


        Document osdNameFilter = new Document("$and", Arrays.asList(new Document("osdNameCorrect", 1), importantTag));


        Document osdNameErrFilter = new Document("$and", Arrays.asList(new Document("osdNameCorrect", -1), importantTag));


        Document osdTimeFilter = new Document("$and", Arrays.asList(new Document("osdTimeCorrect", 1), importantTag));


        Document osdTimeErrFilter = new Document("$and", Arrays.asList(new Document("osdTimeCorrect", -1), importantTag));


        List<Document> lists = Arrays.asList(osdNameFilter, osdNameErrFilter, osdTimeFilter, osdTimeErrFilter);


        List<String> rList = lists.stream().map(filter -> {


            // 构建聚合管道


@@ -703,7 +690,7 @@


    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);


@@ -728,9 +715,8 @@


    @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");


@@ -740,8 +726,9 @@


        MongoDatabase database = mongoTemplate.getDb();


        MongoCollection<Document> collection = database.getCollection("osd_check_result");




        Document osdTimeFilter = new Document("osdTimeCorrect", 1);


        Document osdTimeErrFilter = new Document("osdTimeCorrect", -1);


        Document importantTag = new Document("importantTag", Boolean.TRUE);


        Document osdTimeFilter = new Document("$and", Arrays.asList(new Document("osdTimeCorrect", 1), importantTag));


        Document osdTimeErrFilter = new Document("$and", Arrays.asList(new Document("osdTimeCorrect", -1), importantTag));


        List<Document> lists = Arrays.asList(osdTimeFilter, osdTimeErrFilter);


        List<String> rList = lists.stream().map(filter -> {


            // 构建聚合管道


@@ -789,7 +776,7 @@


    @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);


@@ -804,7 +791,7 @@


        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 -> {


        List<String> rList = lists.stream().map(filter -> {


            // 构建聚合管道


            List<Document> pipeline = Arrays.asList(


                    new Document("$match", filter),


@@ -819,9 +806,21 @@


                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)


                .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(onlineRate + "%");


        HashMap<String, Object> map = new HashMap<>();


        map.put("count", rList);


        map.put("list", resultList);


@@ -837,7 +836,7 @@


    @Override


    public Result vehiclePointOnlineRate(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);


@@ -848,8 +847,19 @@


        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)


                .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("count", Arrays.asList(distinctCount + "%", onlineRate + "%"));


        map.put("list", resultList);


        return Result.ok().data(map).total(total);


    }


@@ -863,7 +873,7 @@


    @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);


@@ -879,7 +889,7 @@


        Document longitudeErrFilter = new Document("longitude.error", true);




        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),


@@ -894,9 +904,21 @@


                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)


                .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(onlineRate + "%");


        HashMap<String, Object> map = new HashMap<>();


        map.put("count", rList);


        map.put("list", resultList);


@@ -912,7 +934,7 @@


    @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);


@@ -928,7 +950,7 @@


        Document longitudeErrFilter = new Document("lalType", 4);




        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),


@@ -943,9 +965,21 @@


                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)


                .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(onlineRate + "%");


        HashMap<String, Object> map = new HashMap<>();


        map.put("count", rList);


        map.put("list", resultList);


@@ -961,7 +995,7 @@


    @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);


@@ -971,8 +1005,20 @@


        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)


                .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(onlineRate + "%"));


        map.put("list", resultList);


        return Result.ok().data(map).total(total);


    }


@@ -986,14 +1032,25 @@


    @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)


                .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(onlineRate + "%"));


        map.put("list", resultList);


        return Result.ok().data(map).total(total);


    }


@@ -1007,7 +1064,7 @@


    @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);


@@ -1023,7 +1080,7 @@


        Document longitudeErrFilter = new Document("snapResult", 4);




        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),


@@ -1038,9 +1095,21 @@


                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)


                .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(onlineRate + "%");


        HashMap<String, Object> map = new HashMap<>();


        map.put("count", rList);


        map.put("list", resultList);


@@ -1056,14 +1125,26 @@


    @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)


                .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(onlineRate + "%"));


        map.put("list", resultList);


        return Result.ok().data(map).total(total);


    }


@@ -1077,14 +1158,26 @@


    @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)


                .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(onlineRate + "%"));


        map.put("list", resultList);


        return Result.ok().data(map).total(total);


    }


@@ -1098,14 +1191,26 @@


    @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)


                .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(onlineRate + "%"));


        map.put("list", resultList);


        return Result.ok().data(map).total(total);


    }


@@ -1119,7 +1224,7 @@


    @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);


@@ -1134,7 +1239,7 @@


        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 -> {


        List<String> rList = lists.stream().map(filter -> {


            // 构建聚合管道


            List<Document> pipeline = Arrays.asList(


                    new Document("$match", filter),


@@ -1149,9 +1254,21 @@


                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)


                .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(onlineRate + "%");


        HashMap<String, Object> map = new HashMap<>();


        map.put("count", rList);


        map.put("list", resultList);


@@ -1167,7 +1284,7 @@


    @Override


    public Result facePointOnlineRate(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);


@@ -1182,7 +1299,7 @@


        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 -> {


        List<String> rList = lists.stream().map(filter -> {


            // 构建聚合管道


            List<Document> pipeline = Arrays.asList(


                    new Document("$match", filter),


@@ -1197,9 +1314,21 @@


                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::getSiteOnline)


                .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));


        }


        rList.add(onlineRate + "%");


        HashMap<String, Object> map = new HashMap<>();


        map.put("count", rList);


        map.put("list", resultList);


@@ -1215,7 +1344,7 @@


    @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);


@@ -1231,7 +1360,7 @@


        Document longitudeErrFilter = new Document("longitude.error", true);




        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),


@@ -1246,9 +1375,21 @@


                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)


                .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(onlineRate + "%");


        HashMap<String, Object> map = new HashMap<>();


        map.put("count", rList);


        map.put("list", resultList);


@@ -1264,7 +1405,7 @@


    @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);


@@ -1280,7 +1421,7 @@


        Document longitudeErrFilter = new Document("lalType", 4);




        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),


@@ -1295,9 +1436,21 @@


                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)


                .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(onlineRate + "%");


        HashMap<String, Object> map = new HashMap<>();


        map.put("count", rList);


        map.put("list", resultList);


@@ -1313,7 +1466,7 @@


    @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);


@@ -1329,7 +1482,7 @@


        Document longitudeErrFilter = new Document("lalType", 4);




        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),


@@ -1344,9 +1497,21 @@


                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)


                .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(onlineRate + "%");


        HashMap<String, Object> map = new HashMap<>();


        map.put("count", rList);


        map.put("list", resultList);


@@ -1362,7 +1527,7 @@


    @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);


@@ -1377,7 +1542,7 @@


        Document longitudeErrFilter = new Document("snapResult", 4);




        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),


@@ -1392,9 +1557,21 @@


                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)


                .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(onlineRate + "%");


        HashMap<String, Object> map = new HashMap<>();


        map.put("count", rList);


        map.put("list", resultList);


@@ -1410,7 +1587,7 @@


    @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);


@@ -1425,7 +1602,7 @@


        Document longitudeErrFilter = new Document("snapResult", 4);




        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),


@@ -1440,9 +1617,21 @@


                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)


                .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(onlineRate + "%");


        HashMap<String, Object> map = new HashMap<>();


        map.put("count", rList);


        map.put("list", resultList);


@@ -1458,14 +1647,26 @@


    @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)


                .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(onlineRate + "%"));


        map.put("list", resultList);


        return Result.ok().data(map).total(total);


    }




 ycl-server/src/main/java/com/ycl/utils/MongoUtil.java


@@ -28,12 +28,11 @@


     * 构造数据中心搜索的条件


     *


     * @param params 数据中心请求参数


     * @param gbFiled 国标码字段是哪一个


     * @param timeFiled 时间字段是哪一个


     * @param gbList 国标码


     * @param dataAuth 点位类型：null 所有  1 部级  2 省厅  3 重点  4 重点指挥  5 是否新设备


     * @param likeFileds 使用like查询的字段


     */


    public static Query getQuery(DataCenterQuery params, String gbFiled, String timeFiled, List<String> likeFileds, List<String> gbList) {


    public static Query getQuery(DataCenterQuery params, String timeFiled, List<String> likeFileds, Integer dataAuth) {


        // 关键字


        List<Criteria> likeList = null;


        if (StringUtils.hasText(params.getKeyword()) && !CollectionUtils.isEmpty(likeFileds)) {


@@ -50,10 +49,28 @@


            or.orOperator(likeList);


        }




        Criteria in = null;


        Criteria tag = null;


        // in


        if (! CollectionUtils.isEmpty(gbList)) {


            in = Criteria.where(gbFiled).in(gbList);


        if (Objects.nonNull(dataAuth)) {


            switch (dataAuth) {


                case 1:


                    tag = Criteria.where("deptTag").is(Boolean.TRUE);


                    break;


                case 2:


                    tag = Criteria.where("provinceTag").is(Boolean.TRUE);


                    break;


                case 3:


                    tag = Criteria.where("importantTag").is(Boolean.TRUE);


                    break;


                case 4:


                    tag = Criteria.where("importantCommandImageTag").is(Boolean.TRUE);


                    break;


                case 5:


                    tag = Criteria.where("newDevice").is(Boolean.TRUE);


                    break;


                default:


                    break;


            }


        }




        // 时间


@@ -63,8 +80,8 @@


        Criteria and = new Criteria();


        List<Criteria> qList = new ArrayList<>(3);


        qList.add(time);


        if (Objects.nonNull(in)) {


            qList.add(in);


        if (Objects.nonNull(tag)) {


            qList.add(tag);


        }


        if (Objects.nonNull(or)) {


            qList.add(or);