| | |
| | | import com.ycl.platform.domain.vo.DynamicColumnVO; |
| | | import com.ycl.platform.mapper.DynamicColumnMapper; |
| | | import com.ycl.platform.mapper.ImageResourceSecurityDetailMapper; |
| | | import com.ycl.platform.mapper.TMonitorMapper; |
| | | import com.ycl.platform.mapper.YwPointMapper; |
| | | import com.ycl.platform.service.*; |
| | | import com.ycl.system.Result; |
| | |
| | | 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 DynamicColumnMapper dynamicColumnMapper; |
| | |
| | | |
| | | |
| | | } |
| | | |
| | | |
| | | |
| | | /** |
| | | * 视频:点位在线率 |
| | |
| | | |
| | | return recordingMinTime; |
| | | } |
| | | private final TMonitorMapper tMonitorMapper; |
| | | |
| | | /** |
| | | * 视频:录像可用率 |
| | |
| | | */ |
| | | @Override |
| | | public Result videoAvailabilityRate(DataCenterQuery params) { |
| | | List<String> noString = tMonitorMapper.getIdListVideo(); |
| | | |
| | | List<String> likeFileds = Arrays.asList("deviceId", "deviceName"); |
| | | Query query = MongoUtil.getQuery(params, "createTime", likeFileds, null); |
| | | if (CollectionUtils.isNotEmpty(noString)) { // 防止空集合异常 |
| | | query.addCriteria(Criteria.where("no").in(noString)); |
| | | } |
| | | //下拉框录像情况查询条件 |
| | | if (params.getOption() != null) { |
| | | query.addCriteria(Criteria.where("recordStatus").is(params.getOption())); |
| | | } |
| | | long total = mongoTemplate.count(query, RecordMetaDSumResult.class); |
| | | MongoUtil.setPage(query, params, "createTime"); |
| | | |
| | | List<RecordMetaDSumResult> resultList = mongoTemplate.find(query, RecordMetaDSumResult.class); |
| | | //查询动态列数据 |
| | | //查询动态列数据更具id查询 |
| | |
| | | |
| | | }); |
| | | // 统计数量 |
| | | |
| | | MongoDatabase database = mongoTemplate.getDb(); |
| | | MongoCollection<Document> collection = database.getCollection("uy_record_meta_d_sum"); |
| | | List<Integer> status = Arrays.asList(1, 0, -1); |
| | | List<String> resultCount = status.stream().map(item -> { |
| | | List<Document> dList = new ArrayList<>(2); |
| | | |
| | | dList.add(new Document("recordStatus", new Document("$eq", item))); |
| | | dList.add(new Document("no", new Document("$in", noString))); |
| | | setTag(params, dList); |
| | | Document filter = new Document("$and", dList); |
| | | // 构建聚合管道 |
| | |
| | | double finalRecordingMinTime = getSySMinTime(); |
| | | |
| | | List<Document> documentList = new ArrayList<>(2); |
| | | documentList.add(new Document("no", new Document("$in", noString))); |
| | | setTag(params, documentList); |
| | | Document recording = new Document("recordDuration",new Document("$gte", finalRecordingMinTime)); |
| | | Document recording = new Document("missDuration",new Document("$lte", finalRecordingMinTime)); |
| | | documentList.add(recording); |
| | | |
| | | Document filter = new Document("$and", documentList); |
| | |
| | | new Document("$count", "uniqueDeviceIds") |
| | | ); |
| | | AggregateIterable<Document> result = collection2.aggregate(pipeline); |
| | | |
| | | |
| | | Integer uniqueDeviceIdCount = 0; |
| | | for (Document doc : result) { |
| | | uniqueDeviceIdCount = doc.getInteger("uniqueDeviceIds"); |
| | | break; // 不需要继续遍历,因为 $count 只会产生一个结果 |
| | | } |
| | | log.error("录像可用率打印:{}",uniqueDeviceIdCount); |
| | | // List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper()) |
| | | // .select(CheckIndexVideo::getVideoAvailable) |
| | | // .eq(params.getDataType().equals(1), CheckIndexVideo::getExamineTag, CheckConstants.Examine_Tag_Province) |
| | | // .eq(params.getDataType().equals(2), CheckIndexVideo::getExamineTag, CheckConstants.Examine_Tag_Dept) |
| | | // .between(CheckIndexVideo::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime())) |
| | | // .list(); |
| | | // BigDecimal onlineRate = BigDecimal.ZERO; |
| | | // if (CollectionUtils.isNotEmpty(videoList)) { |
| | | // BigDecimal sum = videoList.stream().map(CheckIndexVideo::getVideoAvailable).reduce(BigDecimal.ZERO, BigDecimal::add); |
| | | // BigDecimal count = BigDecimal.valueOf(videoList.size()); |
| | | // onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100)); |
| | | // } |
| | | //加一个总数 |
| | | int totalCount = 0; |
| | | for (String s : resultCount) { |
| | | totalCount += Integer.parseInt(s); |
| | |
| | | resultCount.add(0, totalCount + ""); |
| | | |
| | | BigDecimal onlineRate = BigDecimal.ZERO; |
| | | |
| | | |
| | | // 1:完整 0:间歇 -1:异常 | |
| | | if (!StringUtils.isEmpty(resultCount.get(0)) && !"0".equals(resultCount.get(0))) { |
| | | //resultCount.get(0)是总数 uniqueDeviceIdCount是更具系统参数查询到mongodb中大于等于 recordDuration字段的总数 |
| | |
| | | List<Document> documentList = new ArrayList<>(4); |
| | | documentList.add(new Document("deptTag", new Document("$eq", Boolean.TRUE))); |
| | | setTag(params, documentList); |
| | | Document recording = new Document("recordDuration",new Document("$gte", finalRecordingMinTime)); |
| | | Document recording = new Document("missDuration",new Document("$lte", finalRecordingMinTime)); |
| | | documentList.add(recording); |
| | | Document filter = new Document("$and", documentList); |
| | | // 构建聚合管道 |
| | |
| | | List<Document> documentList = new ArrayList<>(4); |
| | | documentList.add(new Document("importantTag", new Document("$eq", Boolean.TRUE))); |
| | | setTag(params, documentList); |
| | | Document recording = new Document("recordDuration",new Document("$gte", finalRecordingMinTime)); |
| | | Document recording = new Document("missDuration",new Document("$lte", finalRecordingMinTime)); |
| | | documentList.add(recording); |
| | | Document filter = new Document("$and", documentList); |
| | | // 构建聚合管道 |