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xiangpei

2024-09-06 d49b037cd6d42cff6e8a15b3590a3edac2c4568b

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

@@ -11,6 +11,7 @@
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.*;
@@ -65,19 +66,14 @@
     */
    @Override
    public Result videoPointOnlineRate(DataCenterQuery params) {
        // 生成查询
        List<String> likeFileds = Arrays.asList("arealayerName", "ipAddr", "deviceName", "deviceId");
        Query query = MongoUtil.getQuery(params, 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)
@@ -91,8 +87,8 @@
        }
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", Arrays.asList(distinctCount + "",this.remove0(onlineRate)));
        map.put("list", resultList);
        return Result.ok().data(map).total(total);
        map.put("list", page.getRecords());
        return Result.ok().data(map).total(page.getTotal());
    }

    /**
@@ -103,40 +99,14 @@
     */
    @Override
    public Result deptVideoPointOnlineRate(DataCenterQuery params) {
        params.setDeptTag(1);
        params.setDeviceType(1);
        IPage<PointDetailVO> page = PageUtil.getPage(params, PointDetailVO.class);
        pointMapper.dataCenterPage(page, params);

        List<String> likeFileds = Arrays.asList("arealayerName", "ipAddr", "deviceName", "deviceId");
        // 生成查询
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, 1);
        // 统计设备数量
        Integer distinctCount = pointMapper.distinctCount(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);

        // 统计数量
        MongoDatabase database = mongoTemplate.getDb();
        MongoCollection<Document> collection = database.getCollection("uy_online");
        List<Document> dList = new ArrayList<>(2);
        dList.add(new Document("deptTag", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document filter = new Document("$and", dList);
        // 构建聚合管道
        List<Document> pipeline = Arrays.asList(
                // 只要部级的
                new Document("$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)
@@ -150,9 +120,9 @@
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", Arrays.asList(uniqueDeviceIdCount + "", this.remove0(onlineRate)));
        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());
    }

    /**
@@ -163,37 +133,13 @@
     */
    @Override
    public Result videoImportantPointOnlineRate(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("arealayerName", "ipAddr", "deviceName", "deviceId");
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, 3);
        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);

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

        List<Document> dList = new ArrayList<>(2);
        dList.add(new Document("importantTag", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document filter = new Document("$and", dList);
        // 构建聚合管道
        List<Document> pipeline = Arrays.asList(
                new Document("$match", filter),
                // $group 去重
                new Document("$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
        }
        // 统计设备数量
        Integer distinctCount = pointMapper.distinctCount(params);

        Date now = new Date();
        List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
@@ -208,9 +154,9 @@
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", Arrays.asList(uniqueDeviceIdCount + "", this.remove0(onlineRate)));
        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());
    }

    /**
@@ -221,37 +167,13 @@
     */
    @Override
    public Result videoImportantPointImageOnlineRate(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("arealayerName", "ipAddr", "deviceName", "deviceId");
        Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, 4);
        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);

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

        List<Document> dList = new ArrayList<>(2);
        dList.add(new Document("importantCommandImageTag", new Document("$eq", Boolean.TRUE)));
        if (params.getDataType().equals(1)) {
            dList.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
        }
        Document filter = new Document("$and", dList);
        // 构建聚合管道
        List<Document> pipeline = Arrays.asList(
                new Document("$match", filter),
                // $group 去重
                new Document("$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
        }
        // 统计设备数量
        Integer distinctCount = pointMapper.distinctCount(params);

        Date now = new Date();
        List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
@@ -266,9 +188,9 @@
            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
        }
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", Arrays.asList(uniqueDeviceIdCount + "", this.remove0(onlineRate)));
        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());
    }

    /**
@@ -996,17 +918,13 @@
     */
    @Override
    public Result vehiclePointOnlineRate(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
        Query query = MongoUtil.getQuery(params, 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();
        // 统计设备数量
        Integer distinctCount = pointMapper.distinctCount(params);

        Date now = new Date();
        List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
@@ -1022,8 +940,8 @@
        }
        HashMap<String, Object> map = new HashMap<>();
        map.put("count", Arrays.asList(distinctCount + "", this.remove0(onlineRate)));
        map.put("list", resultList);
        return Result.ok().data(map).total(total);
        map.put("list", page.getRecords());
        return Result.ok().data(map).total(page.getTotal());
    }

    /**
@@ -1528,59 +1446,13 @@
     */
    @Override
    public Result facePointOnlineRate(DataCenterQuery params) {
        List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
        Query query = MongoUtil.getQuery(params, 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);

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

        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<String> 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());
        // 统计设备数量
        Integer distinctCount = pointMapper.distinctCount(params);

        Date now = new Date();
        List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
@@ -1594,11 +1466,13 @@
            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());
    }

    /**