package com.ycl.platform.service.impl;
|
|
import com.alibaba.excel.EasyExcel;
|
import com.alibaba.excel.write.style.column.LongestMatchColumnWidthStyleStrategy;
|
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.*;
|
import com.ycl.platform.domain.form.UpdateDynamicValueForm;
|
import com.ycl.platform.domain.query.DataCenterQuery;
|
import com.ycl.platform.domain.result.HK.*;
|
import com.ycl.platform.domain.result.SYS.TMonitorResult;
|
import com.ycl.platform.domain.result.UY.*;
|
import com.ycl.platform.domain.vo.DataCenter.BigPicUsefulVO;
|
import com.ycl.platform.domain.vo.DataCenter.MonitorQualifyResultVO;
|
import com.ycl.platform.domain.vo.DataCenter.SnapClockVO;
|
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;
|
import com.ycl.system.service.ISysConfigService;
|
import com.ycl.utils.DateUtils;
|
import com.ycl.utils.MongoUtil;
|
import com.ycl.utils.StringUtils;
|
import com.ycl.utils.bean.BeanUtils;
|
import com.ycl.utils.poi.ExcelUtil;
|
import constant.*;
|
import enumeration.general.AreaDeptEnum;
|
import jakarta.servlet.http.HttpServletResponse;
|
import lombok.RequiredArgsConstructor;
|
import lombok.extern.slf4j.Slf4j;
|
import org.apache.commons.collections.CollectionUtils;
|
import org.bson.Document;
|
import org.springframework.data.domain.Sort;
|
import org.springframework.data.mongodb.core.MongoTemplate;
|
import org.springframework.data.mongodb.core.aggregation.*;
|
import org.springframework.data.mongodb.core.query.Criteria;
|
import org.springframework.data.mongodb.core.query.Query;
|
import org.springframework.stereotype.Service;
|
|
import java.io.IOException;
|
import java.math.BigDecimal;
|
import java.math.RoundingMode;
|
import java.text.DecimalFormat;
|
import java.text.SimpleDateFormat;
|
import java.util.*;
|
import java.util.regex.Pattern;
|
import java.util.stream.Collectors;
|
|
/**
|
* 数据中心接口
|
*
|
* @author：xp
|
* @date：2024/8/2 11:07
|
*/
|
@Service
|
@RequiredArgsConstructor
|
@Slf4j
|
public class DataCenterServiceImpl implements DataCenterService {
|
|
private final MongoTemplate mongoTemplate;
|
private final ImageResourceSecurityDetailMapper securityDetailMapper;
|
private final YwPointMapper pointMapper;
|
private final ICheckIndexCarService checkIndexCarService;
|
private final ICheckIndexFaceService checkIndexFaceService;
|
private final DynamicColumnMapper dynamicColumnMapper;
|
|
|
|
private final static String TIME_FIELD = "mongoCreateTime";
|
|
private static DecimalFormat DF = new DecimalFormat("#.####");
|
|
|
|
public Map<String,List<DynamicColumnVO>> getDynamicByConditions(DataCenterQuery params,List<DynamicColumnVO> list){
|
//获得到对应id，且包含传入字符串 动态列集合
|
List<DynamicColumnVO> likeFieldDynamicColumnVOList = list.stream()
|
.filter(dynamicColumnVO ->
|
dynamicColumnVO.getLabelId().equals(params.getDyId()) &&
|
dynamicColumnVO.getColumnValue().contains(params.getDyValue())
|
).collect(Collectors.toList());
|
//获得满足条件的id集合
|
List<String> ids = likeFieldDynamicColumnVOList.stream().map(DynamicColumnVO::getRefStringId).toList();
|
Map<String,List<DynamicColumnVO>> groupByRefStringIdMap = list.stream().collect(Collectors.groupingBy(DynamicColumnVO::getRefStringId));
|
Set<String> removeSet = new HashSet<>(ids);
|
//移除掉不符合条件的key
|
groupByRefStringIdMap.keySet().retainAll(removeSet);
|
|
return groupByRefStringIdMap;
|
}
|
|
@Override
|
public void recordingAvailabilityExport(HttpServletResponse response,DataCenterQuery params) throws IOException {
|
|
List<String> likeFileds = Arrays.asList("deviceId", "deviceName");
|
Query query = MongoUtil.getQuery(params, "createTime", likeFileds, null);
|
//下拉框录像情况查询条件
|
if (params.getOption() != null) {
|
query.addCriteria(Criteria.where("recordStatus").is(params.getOption()));
|
}
|
MongoUtil.setNoPage(query, params, TIME_FIELD);
|
List<RecordMetaDSumResult> resultList = mongoTemplate.find(query, RecordMetaDSumResult.class);
|
//翻译行政区域
|
resultList.forEach(item -> {
|
String areaCode = item.getArealayername().substring(0, 6);
|
AreaDeptEnum areaDeptEnum = AreaDeptEnum.fromCode(areaCode);
|
if (areaDeptEnum != null) item.setArealayername(areaDeptEnum.getName());
|
});
|
//获得动态列数据
|
List<DynamicColumnVO> dynamicColumnVOList = dynamicColumnMapper.getDynamicColumnByTableName(TableNameConstants.COLUMN_NAME_VIDEO);
|
|
//判断是否有查询条件
|
boolean conditions = false;
|
Map<String,List<DynamicColumnVO>> groupByRefStringIdMap = new HashMap<>();
|
if (params.getDyId() != null && StringUtils.isNotEmpty(params.getDyValue())){
|
conditions = true;
|
//获得动态列集合中包含了的字符串值的集合 区分大小写
|
groupByRefStringIdMap = getDynamicByConditions(params,dynamicColumnVOList);
|
}else{
|
groupByRefStringIdMap = dynamicColumnVOList.stream().collect(Collectors.groupingBy(DynamicColumnVO::getRefStringId));
|
}
|
//固定表头
|
LinkedHashSet<String> headers = new LinkedHashSet<>();
|
headers.add(RecordingAvailabilityHeaders.arealayername);
|
headers.add(RecordingAvailabilityHeaders.arealayerno);
|
headers.add(RecordingAvailabilityHeaders.createTime);
|
headers.add(RecordingAvailabilityHeaders.deviceId);
|
headers.add(RecordingAvailabilityHeaders.missDuration);
|
headers.add(RecordingAvailabilityHeaders.platId);
|
headers.add(RecordingAvailabilityHeaders.recordDuration);
|
headers.add(RecordingAvailabilityHeaders.recordStatusText);
|
headers.add(RecordingAvailabilityHeaders.statTime);
|
|
List<String> headersList = new LinkedList<>();
|
List<String> dynamicsHeaders = dynamicColumnMapper.getHeader(TableNameConstants.COLUMN_NAME_VIDEO);
|
|
//添加动态表头
|
if (!org.springframework.util.CollectionUtils.isEmpty(dynamicsHeaders)) {
|
//使用链表保证后续补充数据时获取数据顺序一致
|
headersList.addAll(dynamicsHeaders);
|
headers.addAll(headersList);
|
}
|
// SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd");
|
//查询到有动态列查询条件
|
//获得对应动态列中ref的对象id 与 查询结果id过滤
|
if (conditions){
|
Map<String, List<DynamicColumnVO>> finalGroupByRefStringIdMap = groupByRefStringIdMap;
|
resultList = resultList.stream()
|
.filter(obj -> finalGroupByRefStringIdMap.containsKey(obj.getId()))
|
.collect(Collectors.toList());
|
}
|
SimpleDateFormat dateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
|
List<List<Object>> data = new ArrayList<>();
|
for (RecordMetaDSumResult result : resultList){
|
List<Object> row = new ArrayList<>();
|
row.add(result.getArealayername());
|
row.add(result.getArealayerno());
|
row.add(dateFormat.format(result.getCreateTime()));
|
row.add(result.getDeviceId());
|
row.add(result.getMissDuration());
|
row.add(result.getPlatId());
|
row.add(result.getRecordDuration());
|
row.add(result.getRecordStatusText());
|
row.add(dateFormat.format(result.getCreateTime()));
|
//添加动态列数据
|
for (String header : headersList){
|
boolean flag = false;
|
List<DynamicColumnVO> columnVOS = groupByRefStringIdMap.get(result.getId());
|
if (!CollectionUtils.isEmpty(columnVOS)) {
|
for (DynamicColumnVO columnVO : columnVOS) {
|
if (header.equals(columnVO.getLabelValue())) {
|
row.add(columnVO.getColumnValue());
|
flag = true;
|
}
|
}
|
}
|
//没找到用空串占位
|
if (!flag) row.add("");
|
}
|
data.add(row);
|
}
|
List<List<String>> headList = new ArrayList<>();
|
for (String header : headers) {
|
headList.add(Collections.singletonList(header));
|
}
|
EasyExcel.write(response.getOutputStream())
|
.head(headList) // 设置表头
|
.sheet("录像可用率") // 设置sheet名称
|
.registerWriteHandler(new LongestMatchColumnWidthStyleStrategy())
|
.doWrite(data); // 写入数据
|
}
|
|
@Override
|
public void pointOnlineFaceExport(HttpServletResponse response, DataCenterQuery params) throws IOException {
|
List<String> likeFileds = Arrays.asList("name", "no", "ip");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
//查人脸设备
|
query.addCriteria(Criteria.where("monitorType").regex(".*" + CheckConstants.Rule_Category_Face + ".*"));
|
//下拉框在线情况查询条件
|
if (params.getOption() != null) {
|
query.addCriteria(Criteria.where("online").is(params.getOption()));
|
}
|
Sort sort = Sort.by(
|
Sort.Order.asc("pingOnline"), // 首先按照 pingOnline 升序排序
|
Sort.Order.desc("offLineCount") // 首先按照 pingOnline 升序排序
|
);
|
// 通过pingOnline字段排序，为false的排在前面
|
query.with(sort);
|
MongoUtil.setNoPage(query, params, TIME_FIELD);
|
//分页数量
|
List<TMonitorResult> resultList = mongoTemplate.find(query, TMonitorResult.class);
|
resultList.forEach(item -> {
|
if (item.getPingOnline() == null) {
|
item.setPingOnlineStr("未知");
|
} else if (item.getPingOnline()) {
|
item.setPingOnlineStr("在线");
|
} else if (!item.getPingOnline()) {
|
item.setPingOnlineStr("离线");
|
}
|
if (1 == item.getOnline()) {
|
item.setOnlineStr("在线");
|
} else if (-1 == item.getOnline()) {
|
item.setOnlineStr("离线");
|
} else {
|
item.setOnlineStr("未知");
|
}
|
List<String> offLineTime = item.getOffLineTimeStr();
|
if (!CollectionUtils.isEmpty(offLineTime)) {
|
//后续可以改成配置的离线次数(提取前n次，n为配置的离线次数)
|
if (offLineTime.size() > 1) {
|
offLineTime = offLineTime.subList(0, 2);
|
}
|
item.setOffLineTimeStr(offLineTime);
|
}
|
});
|
|
|
|
List<DynamicColumnVO> dynamicColumnVOList = dynamicColumnMapper.getDynamicColumnByTableName(TableNameConstants.COLUMN_NAME_FACE_POINT);
|
|
|
//判断是否有查询条件
|
boolean conditions = false;
|
Map<String,List<DynamicColumnVO>> groupByRefStringIdMap = new HashMap<>();
|
if (params.getDyId() != null && StringUtils.isNotEmpty(params.getDyValue())){
|
conditions = true;
|
//获得动态列集合中包含了的字符串值的集合 区分大小写
|
groupByRefStringIdMap = getDynamicByConditions(params,dynamicColumnVOList);
|
}else{
|
groupByRefStringIdMap = dynamicColumnVOList.stream().collect(Collectors.groupingBy(DynamicColumnVO::getRefStringId));
|
}
|
|
//固定表头
|
LinkedHashSet<String> headers = new LinkedHashSet<>();
|
headers.add(PointOnlineHeaders.no);
|
headers.add(PointOnlineHeaders.name);
|
headers.add(PointOnlineHeaders.ip);
|
headers.add(PointOnlineHeaders.onlineStr);
|
headers.add(PointOnlineHeaders.pingOnlineStr);
|
headers.add(PointOnlineHeaders.checkCount);
|
headers.add(PointOnlineHeaders.offLineCount);
|
headers.add(PointOnlineHeaders.offLineTimeStr);
|
headers.add(PointOnlineHeaders.mongoCreateTime);
|
|
List<String> headersList = new LinkedList<>();
|
List<String> dynamicsHeaders = dynamicColumnMapper.getHeader(TableNameConstants.COLUMN_NAME_FACE_POINT);
|
|
//添加动态表头
|
if (!org.springframework.util.CollectionUtils.isEmpty(dynamicsHeaders)) {
|
//使用链表保证后续补充数据时获取数据顺序一致
|
headersList.addAll(dynamicsHeaders);
|
headers.addAll(headersList);
|
}
|
|
if (conditions){
|
Map<String, List<DynamicColumnVO>> finalGroupByRefStringIdMap = groupByRefStringIdMap;
|
resultList = resultList.stream()
|
.filter(obj -> finalGroupByRefStringIdMap.containsKey(obj.getNo()))
|
.collect(Collectors.toList());
|
}
|
|
List<List<Object>> data = new ArrayList<>();
|
for (TMonitorResult result : resultList){
|
List<Object> row = new ArrayList<>();
|
row.add(result.getNo());
|
row.add(result.getName());
|
row.add(result.getIp());
|
row.add(result.getOnlineStr());
|
row.add(result.getPingOnlineStr());
|
row.add(result.getCheckCount());
|
row.add(result.getOffLineCount());
|
if (CollectionUtils.isEmpty(result.getOffLineTimeStr())){
|
row.add(null);
|
}else {
|
row.add(result.getOffLineTimeStr().toString());
|
}
|
row.add(result.getMongoCreateTime());
|
//添加动态列数据
|
for (String header : headersList){
|
boolean flag = false;
|
List<DynamicColumnVO> columnVOS = groupByRefStringIdMap.get(result.getNo());
|
if (!CollectionUtils.isEmpty(columnVOS)) {
|
for (DynamicColumnVO columnVO : columnVOS) {
|
if (header.equals(columnVO.getLabelValue())) {
|
row.add(columnVO.getColumnValue());
|
flag = true;
|
}
|
}
|
}
|
//没找到用空串占位
|
if (!flag) row.add("");
|
}
|
data.add(row);
|
}
|
|
List<List<String>> headList = new ArrayList<>();
|
for (String header : headers) {
|
headList.add(Collections.singletonList(header));
|
}
|
|
EasyExcel.write(response.getOutputStream())
|
.head(headList) // 设置表头
|
.sheet("人脸点位在线率") // 设置sheet名称
|
.registerWriteHandler(new LongestMatchColumnWidthStyleStrategy())
|
.doWrite(data); // 写入数据
|
}
|
|
@Override
|
public void pointOnlineVideoExport(HttpServletResponse response, DataCenterQuery params) throws IOException {
|
List<String> likeFileds = Arrays.asList("name", "no", "ip");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
//查视频设备
|
query.addCriteria(Criteria.where("monitorType").regex(".*" + CheckConstants.Rule_Category_Video + ".*"));
|
//下拉框在线情况查询条件
|
if (params.getOption() != null) {
|
query.addCriteria(Criteria.where("online").is(params.getOption()));
|
}
|
Sort sort = Sort.by(
|
Sort.Order.asc("pingOnline"), // 首先按照 pingOnline 升序排序
|
Sort.Order.desc("offLineCount") // 首先按照 pingOnline 升序排序
|
);
|
// 通过pingOnline字段排序，为false的排在前面
|
query.with(sort);
|
MongoUtil.setNoPage(query, params, TIME_FIELD);
|
List<TMonitorResult> resultList = mongoTemplate.find(query, TMonitorResult.class);
|
resultList.forEach(item -> {
|
if (item.getPingOnline() == null) {
|
item.setPingOnlineStr("未知");
|
} else if (item.getPingOnline()) {
|
item.setPingOnlineStr("在线");
|
} else if (!item.getPingOnline()) {
|
item.setPingOnlineStr("离线");
|
}
|
if (1 == item.getOnline()) {
|
item.setOnlineStr("在线");
|
} else if (-1 == item.getOnline()) {
|
item.setOnlineStr("离线");
|
} else {
|
item.setOnlineStr("未知");
|
}
|
List<String> offLineTime = item.getOffLineTimeStr();
|
if (!CollectionUtils.isEmpty(offLineTime)) {
|
if (offLineTime.size() > 1) {
|
offLineTime = offLineTime.subList(offLineTime.size() - 2, offLineTime.size());
|
}
|
item.setOffLineTimeStr(offLineTime);
|
}
|
});
|
List<DynamicColumnVO> dynamicColumnVOList = dynamicColumnMapper.getDynamicColumnByTableName(TableNameConstants.COLUMN_NAME_VIDEO_POINT);
|
//判断是否有查询条件
|
boolean conditions = false;
|
Map<String,List<DynamicColumnVO>> groupByRefStringIdMap = new HashMap<>();
|
if (params.getDyId() != null && StringUtils.isNotEmpty(params.getDyValue())){
|
conditions = true;
|
//获得动态列集合中包含了的字符串值的集合 区分大小写
|
groupByRefStringIdMap = getDynamicByConditions(params,dynamicColumnVOList);
|
}else{
|
groupByRefStringIdMap = dynamicColumnVOList.stream().collect(Collectors.groupingBy(DynamicColumnVO::getRefStringId));
|
}
|
//固定表头
|
LinkedHashSet<String> headers = new LinkedHashSet<>();
|
headers.add(PointOnlineHeaders.no);
|
headers.add(PointOnlineHeaders.name);
|
headers.add(PointOnlineHeaders.ip);
|
headers.add(PointOnlineHeaders.onlineStr);
|
headers.add(PointOnlineHeaders.pingOnlineStr);
|
headers.add(PointOnlineHeaders.checkCount);
|
headers.add(PointOnlineHeaders.offLineCount);
|
headers.add(PointOnlineHeaders.offLineTimeStr);
|
headers.add(PointOnlineHeaders.mongoCreateTime);
|
|
List<String> headersList = new LinkedList<>();
|
List<String> dynamicsHeaders = dynamicColumnMapper.getHeader(TableNameConstants.COLUMN_NAME_VIDEO_POINT);
|
|
//添加动态表头
|
if (!org.springframework.util.CollectionUtils.isEmpty(dynamicsHeaders)) {
|
//使用链表保证后续补充数据时获取数据顺序一致
|
headersList.addAll(dynamicsHeaders);
|
headers.addAll(headersList);
|
}
|
|
|
if (conditions){
|
Map<String, List<DynamicColumnVO>> finalGroupByRefStringIdMap = groupByRefStringIdMap;
|
resultList = resultList.stream()
|
.filter(obj -> finalGroupByRefStringIdMap.containsKey(obj.getNo()))
|
.collect(Collectors.toList());
|
}
|
|
List<List<Object>> data = new ArrayList<>();
|
for (TMonitorResult result : resultList){
|
List<Object> row = new ArrayList<>();
|
row.add(result.getNo());
|
row.add(result.getName());
|
row.add(result.getIp());
|
row.add(result.getOnlineStr());
|
row.add(result.getPingOnlineStr());
|
row.add(result.getCheckCount());
|
row.add(result.getOffLineCount());
|
if (CollectionUtils.isEmpty(result.getOffLineTimeStr())){
|
row.add(null);
|
}else {
|
row.add(result.getOffLineTimeStr().toString());
|
}
|
row.add(result.getMongoCreateTime());
|
//添加动态列数据
|
for (String header : headersList){
|
boolean flag = false;
|
List<DynamicColumnVO> columnVOS = groupByRefStringIdMap.get(result.getNo());
|
if (!CollectionUtils.isEmpty(columnVOS)) {
|
for (DynamicColumnVO columnVO : columnVOS) {
|
if (header.equals(columnVO.getLabelValue())) {
|
row.add(columnVO.getColumnValue());
|
flag = true;
|
}
|
}
|
}
|
//没找到用空串占位
|
if (!flag) row.add("");
|
}
|
data.add(row);
|
}
|
|
List<List<String>> headList = new ArrayList<>();
|
for (String header : headers) {
|
headList.add(Collections.singletonList(header));
|
}
|
|
EasyExcel.write(response.getOutputStream())
|
.head(headList) // 设置表头
|
.sheet("视频点位在线率") // 设置sheet名称
|
.registerWriteHandler(new LongestMatchColumnWidthStyleStrategy())
|
.doWrite(data); // 写入数据
|
|
|
}
|
|
@Override
|
public void pointOnlineCarExport(HttpServletResponse response, DataCenterQuery params) throws IOException {
|
List<String> likeFileds = Arrays.asList("name", "no", "ip");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
//查车辆设备
|
query.addCriteria(Criteria.where("monitorType").regex(".*" + CheckConstants.Rule_Category_Car + ".*"));
|
//下拉框在线情况查询条件
|
if (params.getOption() != null) {
|
query.addCriteria(Criteria.where("online").is(params.getOption()));
|
}
|
Sort sort = Sort.by(
|
Sort.Order.asc("pingOnline"), // 首先按照 pingOnline 升序排序
|
Sort.Order.desc("offLineCount") // 首先按照 pingOnline 升序排序
|
);
|
// 通过pingOnline字段排序，为false的排在前面
|
query.with(sort);
|
//分页数量
|
//系统ping的结果
|
List<TMonitorResult> resultList = mongoTemplate.find(query, TMonitorResult.class);
|
resultList.forEach(item -> {
|
if (item.getPingOnline() == null) {
|
item.setPingOnlineStr("未知");
|
} else if (item.getPingOnline()) {
|
item.setPingOnlineStr("在线");
|
} else if (!item.getPingOnline()) {
|
item.setPingOnlineStr("离线");
|
}
|
if (1 == item.getOnline()) {
|
item.setOnlineStr("在线");
|
} else if (-1 == item.getOnline()) {
|
item.setOnlineStr("离线");
|
} else {
|
item.setOnlineStr("未知");
|
}
|
List<String> offLineTime = item.getOffLineTimeStr();
|
if (!CollectionUtils.isEmpty(offLineTime)) {
|
//后续可以改成配置的离线次数(提取前n次，n为配置的离线次数)
|
if (offLineTime.size() > 1) {
|
offLineTime = offLineTime.subList(0, 2);
|
}
|
item.setOffLineTimeStr(offLineTime);
|
}
|
});
|
List<DynamicColumnVO> dynamicColumnVOList = dynamicColumnMapper.getDynamicColumnByTableName(TableNameConstants.COLUMN_NAME_CAR_POINT);
|
//判断是否有查询条件
|
boolean conditions = false;
|
Map<String,List<DynamicColumnVO>> groupByRefStringIdMap = new HashMap<>();
|
if (params.getDyId() != null && StringUtils.isNotEmpty(params.getDyValue())){
|
conditions = true;
|
//获得动态列集合中包含了的字符串值的集合 区分大小写
|
groupByRefStringIdMap = getDynamicByConditions(params,dynamicColumnVOList);
|
}else{
|
groupByRefStringIdMap = dynamicColumnVOList.stream().collect(Collectors.groupingBy(DynamicColumnVO::getRefStringId));
|
}
|
//固定表头
|
LinkedHashSet<String> headers = new LinkedHashSet<>();
|
headers.add(PointOnlineHeaders.no);
|
headers.add(PointOnlineHeaders.name);
|
headers.add(PointOnlineHeaders.ip);
|
headers.add(PointOnlineHeaders.onlineStr);
|
headers.add(PointOnlineHeaders.pingOnlineStr);
|
headers.add(PointOnlineHeaders.checkCount);
|
headers.add(PointOnlineHeaders.offLineCount);
|
headers.add(PointOnlineHeaders.offLineTimeStr);
|
headers.add(PointOnlineHeaders.mongoCreateTime);
|
|
List<String> headersList = new LinkedList<>();
|
List<String> dynamicsHeaders = dynamicColumnMapper.getHeader(TableNameConstants.COLUMN_NAME_CAR_POINT);
|
|
//添加动态表头
|
if (!org.springframework.util.CollectionUtils.isEmpty(dynamicsHeaders)) {
|
//使用链表保证后续补充数据时获取数据顺序一致
|
headersList.addAll(dynamicsHeaders);
|
headers.addAll(headersList);
|
}
|
|
|
if (conditions){
|
Map<String, List<DynamicColumnVO>> finalGroupByRefStringIdMap = groupByRefStringIdMap;
|
resultList = resultList.stream()
|
.filter(obj -> finalGroupByRefStringIdMap.containsKey(obj.getNo()))
|
.collect(Collectors.toList());
|
}
|
|
List<List<Object>> data = new ArrayList<>();
|
for (TMonitorResult result : resultList){
|
List<Object> row = new ArrayList<>();
|
row.add(result.getNo());
|
row.add(result.getName());
|
row.add(result.getIp());
|
row.add(result.getOnlineStr());
|
row.add(result.getPingOnlineStr());
|
row.add(result.getCheckCount());
|
row.add(result.getOffLineCount());
|
if (CollectionUtils.isEmpty(result.getOffLineTimeStr())){
|
row.add(null);
|
}else {
|
row.add(result.getOffLineTimeStr().toString());
|
}
|
row.add(result.getMongoCreateTime());
|
//添加动态列数据
|
for (String header : headersList){
|
boolean flag = false;
|
List<DynamicColumnVO> columnVOS = groupByRefStringIdMap.get(result.getNo());
|
if (!CollectionUtils.isEmpty(columnVOS)) {
|
for (DynamicColumnVO columnVO : columnVOS) {
|
if (header.equals(columnVO.getLabelValue())) {
|
row.add(columnVO.getColumnValue());
|
flag = true;
|
}
|
}
|
}
|
//没找到用空串占位
|
if (!flag) row.add("");
|
}
|
data.add(row);
|
}
|
|
List<List<String>> headList = new ArrayList<>();
|
for (String header : headers) {
|
headList.add(Collections.singletonList(header));
|
}
|
|
EasyExcel.write(response.getOutputStream())
|
.head(headList) // 设置表头
|
.sheet("车辆点位在线率") // 设置sheet名称
|
.registerWriteHandler(new LongestMatchColumnWidthStyleStrategy())
|
.doWrite(data); // 写入数据
|
}
|
|
@Override
|
public Result updateDynamicValue(UpdateDynamicValueForm form) {
|
List<DynamicColumnVO> list = form.getDynamicColumnVOList();
|
|
if (CollectionUtils.isEmpty(list) || StringUtils.isEmpty(form.getId())) {
|
throw new RuntimeException("修改自定义列的传入值为null或传入id为null");
|
}
|
List<DynamicColumnValue> updateList = new ArrayList<>();
|
List<DynamicColumnValue> addList = new ArrayList<>();
|
|
for (DynamicColumnVO dynamicColumnVO : list){
|
if(dynamicColumnVO.getColumnValue() == null){
|
continue;
|
}
|
DynamicColumnValue dynamicColumnValue = new DynamicColumnValue();
|
dynamicColumnValue.setColumnValue(dynamicColumnVO.getColumnValue());
|
dynamicColumnValue.setDynamicColumnId(dynamicColumnVO.getId());
|
dynamicColumnValue.setRefStringId(form.getId());
|
dynamicColumnValue.setRefId(0);
|
if(dynamicColumnVO.getValueId() == null){
|
addList.add(dynamicColumnValue);
|
}else {
|
dynamicColumnValue.setId(dynamicColumnVO.getValueId());
|
updateList.add(dynamicColumnValue);
|
}
|
}
|
log.error("addList:{}",addList);
|
log.error("updateList:{}",updateList);
|
if (CollectionUtils.isNotEmpty(addList)){
|
dynamicColumnMapper.saveBatch(addList);
|
}
|
if (CollectionUtils.isNotEmpty(updateList)) {
|
dynamicColumnMapper.updateBatch(updateList);
|
}
|
return Result.ok("修改成功");
|
|
|
|
}
|
|
|
|
/**
|
* 视频：点位在线率
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result videoPointOnlineRate(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("name", "no", "ip");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
//查视频设备
|
query.addCriteria(Criteria.where("monitorType").regex(".*" + CheckConstants.Rule_Category_Video + ".*"));
|
//下拉框在线情况查询条件
|
if (params.getOption() != null) {
|
query.addCriteria(Criteria.where("online").is(params.getOption()));
|
}
|
Sort sort = Sort.by(
|
Sort.Order.asc("pingOnline"), // 首先按照 pingOnline 升序排序
|
Sort.Order.desc("offLineCount") // 首先按照 pingOnline 升序排序
|
);
|
// 通过pingOnline字段排序，为false的排在前面
|
query.with(sort);
|
//分页数量
|
long total = mongoTemplate.count(query, TMonitorResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<TMonitorResult> resultList = mongoTemplate.find(query, TMonitorResult.class);
|
|
resultList.forEach(item -> {
|
if (item.getPingOnline() == null) {
|
item.setPingOnlineStr("未知");
|
} else if (item.getPingOnline()) {
|
item.setPingOnlineStr("在线");
|
} else if (!item.getPingOnline()) {
|
item.setPingOnlineStr("离线");
|
}
|
if (1 == item.getOnline()) {
|
item.setOnlineStr("在线");
|
} else if (-1 == item.getOnline()) {
|
item.setOnlineStr("离线");
|
} else {
|
item.setOnlineStr("未知");
|
}
|
List<String> offLineTime = item.getOffLineTimeStr();
|
if (!CollectionUtils.isEmpty(offLineTime)) {
|
if (offLineTime.size() > 1) {
|
offLineTime = offLineTime.subList(offLineTime.size() - 2, offLineTime.size());
|
}
|
item.setOffLineTimeStr(offLineTime);
|
}
|
//添加动态数据
|
List<DynamicColumnVO> list = dynamicColumnMapper.getDynamicColumnByTable(TableNameConstants.COLUMN_NAME_VIDEO_POINT,item.getNo());
|
item.setDynamicColumnList(list);
|
});
|
|
|
params.setDeptTag(-1);
|
params.setDeviceType(1);
|
|
//卡片统计
|
int totalCount = 0;
|
int onlineCount = 0;
|
int offlineCount = 0;
|
int unknownCount = 0;
|
//构建条件
|
List<Criteria> criteriaList = new ArrayList<>();
|
// 添加固定条件
|
criteriaList.add(Criteria.where("monitorType").regex(".*" + CheckConstants.Rule_Category_Video + ".*"));
|
criteriaList.add(Criteria.where("mongoCreateTime").gte(params.getStartTime()).lte(params.getEndTime()));
|
// 根据dataType动态添加条件
|
if (params.getDataType() == 1) {
|
criteriaList.add(Criteria.where("provinceTag").is(Boolean.TRUE));
|
} else if (params.getDataType() == 2) {
|
criteriaList.add(Criteria.where("deptTag").is(Boolean.TRUE));
|
}
|
// 构建match操作
|
MatchOperation match = Aggregation.match(
|
new Criteria().andOperator(criteriaList.toArray(new Criteria[0]))
|
);
|
GroupOperation group = Aggregation.group()
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Online)).then(1).otherwise(0)).as("onlineCount")
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Offline)).then(1).otherwise(0)).as("offlineCount")
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Unknown)).then(1).otherwise(0)).as("unknownCount");
|
// 将匹配阶段和分组阶段组合起来
|
Aggregation aggregation = Aggregation.newAggregation(match, group);
|
// 执行聚合查询
|
AggregationResults<Map> results = mongoTemplate.aggregate(aggregation, "t_monitor_online", Map.class); // 替换为你的集合名称
|
for (Map<String, Object> result : results.getMappedResults()) {
|
offlineCount = (Integer) result.getOrDefault("offlineCount", 0L);
|
unknownCount = (Integer) result.getOrDefault("unknownCount", 0L);
|
onlineCount = (Integer) result.getOrDefault("onlineCount", 0L);
|
totalCount = offlineCount + unknownCount + onlineCount;
|
}
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (totalCount!=0) {
|
onlineRate = new BigDecimal(onlineCount).divide(new BigDecimal(totalCount), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
// /** 查询当天在线率 */
|
// List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
|
// .select(CheckIndexVideo::getSiteOnline)
|
// .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, params.getStartTime(), params.getEndTime())
|
// .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(totalCount + "", onlineCount + "", offlineCount + "", unknownCount + "", this.remove0(onlineRate)));
|
map.put("list", resultList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 视频：部级点位在线率
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result deptVideoPointOnlineRate(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("name", "no", "ip");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
//查视频设备
|
query.addCriteria(Criteria.where("monitorType").regex(".*" + CheckConstants.Rule_Category_Video + ".*"));
|
query.addCriteria(Criteria.where("deptTag").is(Boolean.TRUE));
|
//下拉框在线情况查询条件
|
if (params.getOption() != null) {
|
query.addCriteria(Criteria.where("online").is(params.getOption()));
|
}
|
// 通过pingOnline字段排序，为false的排在前面
|
query.with(Sort.by(Sort.Order.asc("pingOnline")));
|
//分页数量
|
long total = mongoTemplate.count(query, TMonitorResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<TMonitorResult> resultList = mongoTemplate.find(query, TMonitorResult.class);
|
resultList.forEach(item -> {
|
if (item.getPingOnline() == null) {
|
item.setPingOnlineStr("未知");
|
} else if (item.getPingOnline()) {
|
item.setPingOnlineStr("在线");
|
} else if (!item.getPingOnline()) {
|
item.setPingOnlineStr("离线");
|
}
|
if (1 == item.getOnline()) {
|
item.setOnlineStr("在线");
|
} else if (-1 == item.getOnline()) {
|
item.setOnlineStr("离线");
|
} else {
|
item.setOnlineStr("未知");
|
}
|
});
|
// 统计设备数量
|
//卡片统计
|
int totalCount = 0;
|
int onlineCount = 0;
|
int offlineCount = 0;
|
int unknownCount = 0;
|
//构建条件
|
List<Criteria> criteriaList = new ArrayList<>();
|
// 添加固定条件
|
criteriaList.add(Criteria.where("monitorType").regex(".*" + CheckConstants.Rule_Category_Video + ".*"));
|
criteriaList.add(Criteria.where("mongoCreateTime").gte(params.getStartTime()).lte(params.getEndTime()));
|
criteriaList.add(Criteria.where("deptTag").is(Boolean.TRUE));
|
// 根据dataType动态添加条件
|
if (params.getDataType() == 1) {
|
criteriaList.add(Criteria.where("provinceTag").is(Boolean.TRUE));
|
} else if (params.getDataType() == 2) {
|
criteriaList.add(Criteria.where("deptTag").is(Boolean.TRUE));
|
}
|
// 构建match操作
|
MatchOperation match = Aggregation.match(
|
new Criteria().andOperator(criteriaList.toArray(new Criteria[0]))
|
);
|
GroupOperation group = Aggregation.group()
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Online)).then(1).otherwise(0)).as("onlineCount")
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Offline)).then(1).otherwise(0)).as("offlineCount")
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Unknown)).then(1).otherwise(0)).as("unknownCount");
|
// 将匹配阶段和分组阶段组合起来
|
Aggregation aggregation = Aggregation.newAggregation(match, group);
|
// 执行聚合查询
|
AggregationResults<Map> results = mongoTemplate.aggregate(aggregation, "t_monitor_online", Map.class); // 替换为你的集合名称
|
for (Map<String, Object> result : results.getMappedResults()) {
|
offlineCount = (Integer) result.getOrDefault("offlineCount", 0L);
|
unknownCount = (Integer) result.getOrDefault("unknownCount", 0L);
|
onlineCount = (Integer) result.getOrDefault("onlineCount", 0L);
|
totalCount = offlineCount + unknownCount + onlineCount;
|
}
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (totalCount!=0) {
|
onlineRate = new BigDecimal(onlineCount).divide(new BigDecimal(totalCount), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
// params.setDeptTag(1);
|
// params.setDeviceType(1);
|
// List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
|
// .select(CheckIndexVideo::getMinistrySiteOnline)
|
// .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, params.getStartTime(), params.getEndTime())
|
// .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(totalCount + "", onlineCount + "", offlineCount + "", unknownCount + "", this.remove0(onlineRate)));
|
map.put("list", resultList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 视频：重点点位在线率
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result videoImportantPointOnlineRate(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("name", "no", "ip");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
//查视频设备
|
query.addCriteria(Criteria.where("monitorType").regex(".*" + CheckConstants.Rule_Category_Video + ".*"));
|
query.addCriteria(Criteria.where("importantTag").is(Boolean.TRUE));
|
//下拉框在线情况查询条件
|
if (params.getOption() != null) {
|
query.addCriteria(Criteria.where("online").is(params.getOption()));
|
}
|
// 通过pingOnline字段排序，为false的排在前面
|
query.with(Sort.by(Sort.Order.asc("pingOnline")));
|
//分页数量
|
long total = mongoTemplate.count(query, TMonitorResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<TMonitorResult> resultList = mongoTemplate.find(query, TMonitorResult.class);
|
params.setDeptTag(3);
|
params.setDeviceType(1);
|
resultList.forEach(item -> {
|
if (item.getPingOnline() == null) {
|
item.setPingOnlineStr("未知");
|
} else if (item.getPingOnline()) {
|
item.setPingOnlineStr("在线");
|
} else if (!item.getPingOnline()) {
|
item.setPingOnlineStr("离线");
|
}
|
if (1 == item.getOnline()) {
|
item.setOnlineStr("在线");
|
} else if (-1 == item.getOnline()) {
|
item.setOnlineStr("离线");
|
} else {
|
item.setOnlineStr("未知");
|
}
|
});
|
|
// 统计设备数量
|
//卡片统计
|
int totalCount = 0;
|
int onlineCount = 0;
|
int offlineCount = 0;
|
int unknownCount = 0;
|
//构建条件
|
List<Criteria> criteriaList = new ArrayList<>();
|
// 添加固定条件
|
criteriaList.add(Criteria.where("monitorType").regex(".*" + CheckConstants.Rule_Category_Video + ".*"));
|
criteriaList.add(Criteria.where("mongoCreateTime").gte(params.getStartTime()).lte(params.getEndTime()));
|
criteriaList.add(Criteria.where("importantTag").is(Boolean.TRUE));
|
// 根据dataType动态添加条件
|
if (params.getDataType() == 1) {
|
criteriaList.add(Criteria.where("provinceTag").is(Boolean.TRUE));
|
} else if (params.getDataType() == 2) {
|
criteriaList.add(Criteria.where("deptTag").is(Boolean.TRUE));
|
}
|
// 构建match操作
|
MatchOperation match = Aggregation.match(
|
new Criteria().andOperator(criteriaList.toArray(new Criteria[0]))
|
);
|
GroupOperation group = Aggregation.group()
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Online)).then(1).otherwise(0)).as("onlineCount")
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Offline)).then(1).otherwise(0)).as("offlineCount")
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Unknown)).then(1).otherwise(0)).as("unknownCount");
|
// 将匹配阶段和分组阶段组合起来
|
Aggregation aggregation = Aggregation.newAggregation(match, group);
|
// 执行聚合查询
|
AggregationResults<Map> results = mongoTemplate.aggregate(aggregation, "t_monitor_online", Map.class); // 替换为你的集合名称
|
for (Map<String, Object> result : results.getMappedResults()) {
|
offlineCount = (Integer) result.getOrDefault("offlineCount", 0L);
|
unknownCount = (Integer) result.getOrDefault("unknownCount", 0L);
|
onlineCount = (Integer) result.getOrDefault("onlineCount", 0L);
|
totalCount = offlineCount + unknownCount + onlineCount;
|
}
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (totalCount!=0) {
|
onlineRate = new BigDecimal(onlineCount).divide(new BigDecimal(totalCount), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
// List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
|
// .select(CheckIndexVideo::getKeySiteOnline)
|
// .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, params.getStartTime(), params.getEndTime())
|
// .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));
|
// }
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", Arrays.asList(totalCount + "", onlineCount + "", offlineCount + "", unknownCount + "", this.remove0(onlineRate)));
|
map.put("list", resultList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 视频：重点指挥图像在线率
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result videoImportantPointImageOnlineRate(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("name", "no", "ip");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
//查视频设备
|
query.addCriteria(Criteria.where("monitorType").regex(".*" + CheckConstants.Rule_Category_Video + ".*"));
|
query.addCriteria(Criteria.where("importantCommandImageTag").is(Boolean.TRUE));
|
//下拉框在线情况查询条件
|
if (params.getOption() != null) {
|
query.addCriteria(Criteria.where("online").is(params.getOption()));
|
}
|
// 通过pingOnline字段排序，为false的排在前面
|
query.with(Sort.by(Sort.Order.asc("pingOnline")));
|
//分页数量
|
long total = mongoTemplate.count(query, TMonitorResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<TMonitorResult> resultList = mongoTemplate.find(query, TMonitorResult.class);
|
|
params.setDeptTag(4);
|
params.setDeviceType(1);
|
resultList.forEach(item -> {
|
if (item.getPingOnline() == null) {
|
item.setPingOnlineStr("未知");
|
} else if (item.getPingOnline()) {
|
item.setPingOnlineStr("在线");
|
} else if (!item.getPingOnline()) {
|
item.setPingOnlineStr("离线");
|
}
|
if (1 == item.getOnline()) {
|
item.setOnlineStr("在线");
|
} else if (-1 == item.getOnline()) {
|
item.setOnlineStr("离线");
|
} else {
|
item.setOnlineStr("未知");
|
}
|
});
|
|
// 统计设备数量
|
//卡片统计
|
int totalCount = 0;
|
int onlineCount = 0;
|
int offlineCount = 0;
|
int unknownCount = 0;
|
//构建条件
|
List<Criteria> criteriaList = new ArrayList<>();
|
// 添加固定条件
|
criteriaList.add(Criteria.where("monitorType").regex(".*" + CheckConstants.Rule_Category_Video + ".*"));
|
criteriaList.add(Criteria.where("mongoCreateTime").gte(params.getStartTime()).lte(params.getEndTime()));
|
criteriaList.add(Criteria.where("importantCommandImageTag").is(Boolean.TRUE));
|
// 根据dataType动态添加条件
|
if (params.getDataType() == 1) {
|
criteriaList.add(Criteria.where("provinceTag").is(Boolean.TRUE));
|
} else if (params.getDataType() == 2) {
|
criteriaList.add(Criteria.where("deptTag").is(Boolean.TRUE));
|
}
|
// 构建match操作
|
MatchOperation match = Aggregation.match(
|
new Criteria().andOperator(criteriaList.toArray(new Criteria[0]))
|
);
|
GroupOperation group = Aggregation.group()
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Online)).then(1).otherwise(0)).as("onlineCount")
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Offline)).then(1).otherwise(0)).as("offlineCount")
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Unknown)).then(1).otherwise(0)).as("unknownCount");
|
// 将匹配阶段和分组阶段组合起来
|
Aggregation aggregation = Aggregation.newAggregation(match, group);
|
// 执行聚合查询
|
AggregationResults<Map> results = mongoTemplate.aggregate(aggregation, "t_monitor_online", Map.class); // 替换为你的集合名称
|
for (Map<String, Object> result : results.getMappedResults()) {
|
offlineCount = (Integer) result.getOrDefault("offlineCount", 0L);
|
unknownCount = (Integer) result.getOrDefault("unknownCount", 0L);
|
onlineCount = (Integer) result.getOrDefault("onlineCount", 0L);
|
totalCount = offlineCount + unknownCount + onlineCount;
|
}
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (totalCount!=0) {
|
onlineRate = new BigDecimal(onlineCount).divide(new BigDecimal(totalCount), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
// List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
|
// .select(CheckIndexVideo::getKeyCommandImageOnline)
|
// .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, params.getStartTime(), params.getEndTime())
|
// .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));
|
// }
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", Arrays.asList(totalCount + "", onlineCount + "", offlineCount + "", unknownCount + "", this.remove0(onlineRate)));
|
map.put("list", resultList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 视频：一机一档注册率
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result videoOneMachineDocumentRegister(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("ip.showValue", "name.showValue", "serialNumber.showValue");
|
List<Criteria> andCriteria = MongoUtil.getAndCriteria(params, TIME_FIELD, likeFileds, null);
|
Query query = new Query();
|
Criteria and = new Criteria();
|
if (params.getOption() != null) {
|
if (params.getOption() == 1) {
|
andCriteria.add(Criteria.where("newDevice").is(Boolean.TRUE));
|
} else if (params.getOption() == -1) {
|
andCriteria.add(Criteria.where("newDevice").is(Boolean.FALSE));
|
}
|
}
|
and.andOperator(andCriteria);
|
query = Query.query(and);
|
long total = mongoTemplate.count(query, MonitorQualifyResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<MonitorQualifyResult> resultList = mongoTemplate.find(query, MonitorQualifyResult.class);
|
List<MonitorQualifyResultVO> resultVOS = new ArrayList<>();
|
for (MonitorQualifyResult result : resultList) {
|
MonitorQualifyResultVO vo = MonitorQualifyResult.getVO(result);
|
resultVOS.add(vo);
|
}
|
// 统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("uy_monitor_qualify");
|
//总数
|
List<Document> dList1 = new ArrayList<>(2);
|
setTag(params, dList1);
|
Document totalFilter = new Document("$and", dList1);
|
//新设备数
|
List<Document> dList2 = new ArrayList<>(2);
|
setTag(params, dList2);
|
dList2.add(new Document("newDevice", Boolean.TRUE));
|
Document newFilter = new Document("$and", dList2);
|
|
List<Document> lists = Arrays.asList(totalFilter, newFilter);
|
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", "$serialNumber.showValue")),
|
new Document("$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());
|
|
// List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
|
// .select(CheckIndexVideo::getMonitorRegistration)
|
// .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::getMonitorRegistration).reduce(BigDecimal.ZERO, BigDecimal::add);
|
// BigDecimal count = BigDecimal.valueOf(videoList.size());
|
// onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
|
// }
|
BigDecimal rate = BigDecimal.ZERO;
|
if (!StringUtils.isEmpty(rList.get(0)) && !"0".equals(rList.get(0))) {
|
rate = new BigDecimal(rList.get(0)).subtract(new BigDecimal(rList.get(1))).divide(new BigDecimal(rList.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
rList.add(this.remove0(rate));
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", rList);
|
map.put("list", resultVOS);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 视频：一机一档合格率
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result videoOneMachineDocumentQualified(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("ip.showValue", "name.showValue", "serialNumber.showValue");
|
List<Criteria> andCriteria = MongoUtil.getAndCriteria(params, TIME_FIELD, likeFileds, null);
|
Query query = new Query();
|
Criteria and = new Criteria();
|
and.andOperator(andCriteria);
|
query = Query.query(and);
|
if (params.getOption() != null) {
|
if (params.getOption() == 1) {
|
andCriteria.add(Criteria.where("serialNumber.error").is(Boolean.FALSE));
|
andCriteria.add(Criteria.where("name.error").is(Boolean.FALSE));
|
andCriteria.add(Criteria.where("civilCode.error").is(Boolean.FALSE));
|
andCriteria.add(Criteria.where("integrated_device.error").is(Boolean.FALSE));
|
andCriteria.add(Criteria.where("jkdwlx.error").is(Boolean.FALSE));
|
andCriteria.add(Criteria.where("latitude.error").is(Boolean.FALSE));
|
andCriteria.add(Criteria.where("longitude.error").is(Boolean.FALSE));
|
andCriteria.add(Criteria.where("macdz.error").is(Boolean.FALSE));
|
andCriteria.add(Criteria.where("name.error").is(Boolean.FALSE));
|
andCriteria.add(Criteria.where("sbzt.error").is(Boolean.FALSE));
|
andCriteria.add(Criteria.where("sxjcjqy.error").is(Boolean.FALSE));
|
andCriteria.add(Criteria.where("sxjgnlx.error").is(Boolean.FALSE));
|
Criteria and2 = new Criteria();
|
and2.andOperator(andCriteria);
|
query = Query.query(and2);
|
} else if (params.getOption() == -1) {
|
Criteria c1 = Criteria.where("serialNumber.error").is(Boolean.TRUE);
|
Criteria c2 = Criteria.where("name.error").is(Boolean.TRUE);
|
Criteria c3 = Criteria.where("civilCode.error").is(Boolean.TRUE);
|
Criteria c4 = Criteria.where("integrated_device.error").is(Boolean.TRUE);
|
Criteria c5 = Criteria.where("jkdwlx.error").is(Boolean.TRUE);
|
Criteria c6 = Criteria.where("latitude.error").is(Boolean.TRUE);
|
Criteria c7 = Criteria.where("longitude.error").is(Boolean.TRUE);
|
Criteria c8 = Criteria.where("macdz.error").is(Boolean.TRUE);
|
Criteria c9 = Criteria.where("name.error").is(Boolean.TRUE);
|
Criteria c10 = Criteria.where("sbzt.error").is(Boolean.TRUE);
|
Criteria c11 = Criteria.where("sxjcjqy.error").is(Boolean.TRUE);
|
Criteria c12 = Criteria.where("sxjgnlx.error").is(Boolean.TRUE);
|
Criteria orOperator = new Criteria().orOperator(c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12);
|
orOperator.andOperator(andCriteria);
|
query = Query.query(orOperator);
|
}
|
}
|
|
long total = mongoTemplate.count(query, MonitorQualifyResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<MonitorQualifyResult> resultList = mongoTemplate.find(query, MonitorQualifyResult.class);
|
List<MonitorQualifyResultVO> resultVOS = new ArrayList<>();
|
for (MonitorQualifyResult result : resultList) {
|
MonitorQualifyResultVO vo = MonitorQualifyResult.getVO(result);
|
resultVOS.add(vo);
|
}
|
// 统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("uy_monitor_qualify");
|
//总数
|
List<Document> dList1 = new ArrayList<>(2);
|
setTag(params, dList1);
|
Document totalFilter = new Document("$and", dList1);
|
//合格数
|
List<Document> dList2 = new ArrayList<>(2);
|
dList2.add(new Document("serialNumber.error", Boolean.FALSE));
|
dList2.add(new Document("name.error", Boolean.FALSE));
|
dList2.add(new Document("civilCode.error", Boolean.FALSE));
|
dList2.add(new Document("integrated_device.error", Boolean.FALSE));
|
dList2.add(new Document("jkdwlx.error", Boolean.FALSE));
|
dList2.add(new Document("latitude.error", Boolean.FALSE));
|
dList2.add(new Document("longitude.error", Boolean.FALSE));
|
dList2.add(new Document("macdz.error", Boolean.FALSE));
|
dList2.add(new Document("name.error", Boolean.FALSE));
|
dList2.add(new Document("sbzt.error", Boolean.FALSE));
|
dList2.add(new Document("sxjcjqy.error", Boolean.FALSE));
|
dList2.add(new Document("sxjgnlx.error", Boolean.FALSE));
|
setTag(params, dList2);
|
Document qualifyFilter = new Document("$and", dList2);
|
//不合格数
|
List<Document> dList3 = new ArrayList<>(2);
|
setTag(params, dList3);
|
List<Document> errorConditions = new ArrayList<>();
|
errorConditions.add(new Document("serialNumber.error", new Document("$eq", Boolean.TRUE)));
|
errorConditions.add(new Document("name.error", new Document("$eq", Boolean.TRUE)));
|
errorConditions.add(new Document("civilCode.error", new Document("$eq", Boolean.TRUE)));
|
errorConditions.add(new Document("integrated_device.error", new Document("$eq", Boolean.TRUE)));
|
errorConditions.add(new Document("jkdwlx.error", new Document("$eq", Boolean.TRUE)));
|
errorConditions.add(new Document("latitude.error", new Document("$eq", Boolean.TRUE)));
|
errorConditions.add(new Document("longitude.error", new Document("$eq", Boolean.TRUE)));
|
errorConditions.add(new Document("macdz.error", new Document("$eq", Boolean.TRUE)));
|
errorConditions.add(new Document("name.error", new Document("$eq", Boolean.TRUE)));
|
errorConditions.add(new Document("sbzt.error", new Document("$eq", Boolean.TRUE)));
|
errorConditions.add(new Document("sxjcjqy.error", new Document("$eq", Boolean.TRUE)));
|
errorConditions.add(new Document("sxjgnlx.error", new Document("$eq", Boolean.TRUE)));
|
Document errorFilter = new Document("$or", errorConditions);
|
dList3.add(errorFilter);
|
Document unQualifyFilter = new Document("$and", dList3);
|
|
List<Document> lists = Arrays.asList(totalFilter, qualifyFilter, unQualifyFilter);
|
List<String> rList = lists.stream().map(filter -> {
|
// 构建聚合管道
|
List<Document> pipeline = Arrays.asList(
|
new Document("$match", filter),
|
// $group 去重
|
new Document("$group", new Document("_id", "$serialNumber.showValue")),
|
new Document("$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());
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (!StringUtils.isEmpty(rList.get(0)) && !"0".equals(rList.get(0))) {
|
onlineRate = new BigDecimal(rList.get(1)).divide(new BigDecimal(rList.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
// List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
|
// .select(CheckIndexVideo::getMonitorQualification)
|
// .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::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", resultVOS);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 视频：档案考核比
|
* 档案留存总量：mongo存的所有去重后的档案
|
* 当日档案：当日的档案
|
* 档案考核比 = 当日档案/档案留存总量
|
*
|
* @param params
|
* @return1
|
*/
|
@Override
|
public Result videoAssessmentFileRatio(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("ip.showValue", "name.showValue", "serialNumber.showValue");
|
List<Criteria> andCriteria = MongoUtil.getAndCriteria(params, TIME_FIELD, likeFileds, null);
|
Query query = new Query();
|
Criteria and = new Criteria();
|
and.andOperator(andCriteria);
|
query = Query.query(and);
|
long total = mongoTemplate.count(query, MonitorQualifyResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<MonitorQualifyResult> resultList = mongoTemplate.find(query, MonitorQualifyResult.class);
|
List<MonitorQualifyResultVO> resultVOS = new ArrayList<>();
|
for (MonitorQualifyResult result : resultList) {
|
MonitorQualifyResultVO vo = MonitorQualifyResult.getVO(result);
|
resultVOS.add(vo);
|
}
|
// 统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("uy_monitor_qualify");
|
//总数
|
List<Document> dList1 = new ArrayList<>(2);
|
DataCenterQuery totalParams = new DataCenterQuery();
|
BeanUtils.copyProperties(params, totalParams);
|
totalParams.setStartTime(null);
|
setTag(totalParams, dList1);
|
Document totalFilter = new Document("$and", dList1);
|
//当日档案数
|
List<Document> dList2 = new ArrayList<>(2);
|
setTag(params, dList2);
|
Document newFilter = new Document("$and", dList2);
|
|
List<Document> lists = Arrays.asList(totalFilter, newFilter);
|
List<String> rList = lists.stream().map(filter -> {
|
// 构建聚合管道
|
List<Document> pipeline = Arrays.asList(
|
new Document("$match", filter),
|
// $group 去重
|
new Document("$group", new Document("_id", "$serialNumber.showValue")),
|
new Document("$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());
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (!StringUtils.isEmpty(rList.get(0)) && !"0".equals(rList.get(0))) {
|
onlineRate = new BigDecimal(rList.get(1)).divide(new BigDecimal(rList.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
// List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
|
// .select(CheckIndexVideo::getArchivesRate)
|
// .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::getArchivesRate).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", resultVOS);
|
return Result.ok().data(map).total(total);
|
}
|
|
private final ISysConfigService configService;
|
|
public double getSySMinTime(){
|
//获取系统参数
|
String dictLabel = configService.selectConfigByKey("recording_min_time");
|
double recordingMinTime;
|
try {
|
recordingMinTime = Double.parseDouble(dictLabel) / 60; // 如果 dictLabel 是以小时为单位，则无需除以 60
|
} catch (Exception e) {
|
log.error("配置的删除时间范围格式不正确: {}", dictLabel, e);
|
return 12.0; // 默认 12 小时（以小时为单位）
|
}
|
|
return recordingMinTime;
|
}
|
private final TMonitorMapper tMonitorMapper;
|
|
/**
|
* 视频：录像可用率
|
*
|
* @param params
|
* @return
|
*/
|
@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
|
// List<DynamicColumnVO> dynamicColumnNames = dynamicColumnMapper.getDynamicColumnByTableName("uy_record_meta_d_sum");
|
//翻译行政区域
|
resultList.forEach(item -> {
|
String areaCode = item.getArealayername().substring(0, 6);
|
AreaDeptEnum areaDeptEnum = AreaDeptEnum.fromCode(areaCode);
|
if (areaDeptEnum != null) item.setArealayername(areaDeptEnum.getName());
|
|
List<DynamicColumnVO> list = dynamicColumnMapper.getDynamicColumnByTable(TableNameConstants.COLUMN_NAME_VIDEO,item.getId());
|
item.setDynamicColumnList(list);
|
|
});
|
// 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
|
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 $count 只会产生一个结果
|
}
|
return uniqueDeviceIdCount + "";
|
}).collect(Collectors.toList());
|
|
//计算录像可用率
|
MongoDatabase databaes2 = mongoTemplate.getDb();
|
MongoCollection<Document> collection2 = databaes2.getCollection("uy_record_meta_d_sum");
|
|
double finalRecordingMinTime = getSySMinTime();
|
|
List<Document> documentList = new ArrayList<>(2);
|
documentList.add(new Document("no", new Document("$in", noString)));
|
setTag(params, documentList);
|
Document recording = new Document("missDuration",new Document("$lte", finalRecordingMinTime));
|
documentList.add(recording);
|
|
Document filter = new Document("$and", documentList);
|
// 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")
|
);
|
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);
|
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
|
onlineRate = new BigDecimal(uniqueDeviceIdCount).divide(new BigDecimal(resultCount.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
resultCount.add(this.remove0(onlineRate));
|
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", resultCount);
|
map.put("list", resultList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 视频：部级录像可用率
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result deptVideoAvailabilityRate(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("deviceId", "deviceName");
|
Query query = MongoUtil.getQuery(params, "createTime", likeFileds, 1);
|
//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);
|
//翻译行政区域
|
resultList.forEach(item -> {
|
String areaCode = item.getArealayername().substring(0, 6);
|
AreaDeptEnum areaDeptEnum = AreaDeptEnum.fromCode(areaCode);
|
if (areaDeptEnum != null) item.setArealayername(areaDeptEnum.getName());
|
});
|
// 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<>(4);
|
dList.add(new Document("deptTag", new Document("$eq", Boolean.TRUE)));
|
dList.add(new Document("recordStatus", new Document("$eq", item)));
|
setTag(params, dList);
|
Document filter = new Document("$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 $count 只会产生一个结果
|
}
|
return uniqueDeviceIdCount + "";
|
}).collect(Collectors.toList());
|
|
|
//计算部级录像可用率
|
MongoDatabase database2 = mongoTemplate.getDb();
|
MongoCollection<Document> collection2 = database2.getCollection("uy_record_meta_d_sum");
|
double finalRecordingMinTime = getSySMinTime();
|
|
List<Document> documentList = new ArrayList<>(4);
|
documentList.add(new Document("deptTag", new Document("$eq", Boolean.TRUE)));
|
setTag(params, documentList);
|
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> pipeline = Arrays.asList(
|
new Document("$match", filter),
|
// $group 去重
|
new Document("$group", new Document("_id", "$deviceId")),
|
new Document("$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("部级录像可用率{}:",uniqueDeviceIdCount);
|
|
|
|
// List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
|
// .select(CheckIndexVideo::getMinistryVideoAvailable)
|
// .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::getMinistryVideoAvailable).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;
|
if (!StringUtils.isEmpty(resultCount.get(0)) && !"0".equals(resultCount.get(0))) {
|
onlineRate = new BigDecimal(uniqueDeviceIdCount).divide(new BigDecimal(resultCount.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
resultCount.add(this.remove0(onlineRate));
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", resultCount);
|
map.put("list", resultList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 视频：重点点位录像可用率
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result videoImportantPointAvailabilityRate(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("deviceId", "deviceName");
|
Query query = MongoUtil.getQuery(params, "createTime", likeFileds, 3);
|
//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);
|
//翻译行政区域
|
resultList.forEach(item -> {
|
String areaCode = item.getArealayername().substring(0, 6);
|
AreaDeptEnum areaDeptEnum = AreaDeptEnum.fromCode(areaCode);
|
if (areaDeptEnum != null) item.setArealayername(areaDeptEnum.getName());
|
});
|
// 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<>(4);
|
dList.add(new Document("importantTag", new Document("$eq", Boolean.TRUE)));
|
dList.add(new Document("recordStatus", new Document("$eq", item)));
|
setTag(params, dList);
|
Document filter = new Document("$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 $count 只会产生一个结果
|
}
|
return uniqueDeviceIdCount + "";
|
}).collect(Collectors.toList());
|
|
//计算重点点位录像可用率
|
MongoDatabase database2 = mongoTemplate.getDb();
|
MongoCollection<Document> collection2 = database2.getCollection("uy_record_meta_d_sum");
|
double finalRecordingMinTime = getSySMinTime();
|
|
List<Document> documentList = new ArrayList<>(4);
|
documentList.add(new Document("importantTag", new Document("$eq", Boolean.TRUE)));
|
setTag(params, documentList);
|
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> pipeline = Arrays.asList(
|
new Document("$match", filter),
|
// $group 去重
|
new Document("$group", new Document("_id", "$deviceId")),
|
new Document("$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("重点点位录像可用率{}:",uniqueDeviceIdCount);
|
|
// List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
|
// .select(CheckIndexVideo::getKeyVideoAvailable)
|
// .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::getKeyVideoAvailable).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;
|
if (!StringUtils.isEmpty(resultCount.get(0)) && !"0".equals(resultCount.get(0))) {
|
onlineRate = new BigDecimal(uniqueDeviceIdCount).divide(new BigDecimal(resultCount.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
resultCount.add(this.remove0(onlineRate));
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", resultCount);
|
map.put("list", resultList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 视频：标注正确率（暂停）
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result videoLabelingAccuracy(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("deviceId", "deviceName");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
|
long total = mongoTemplate.count(query, RecordMetaDSumResult.class);
|
List<RecordMetaDSumResult> resultList = mongoTemplate.find(query, RecordMetaDSumResult.class);
|
// 统计数
|
long nonNetwork = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("0")), RecordMetaDSumResult.class);
|
long network = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("1")), RecordMetaDSumResult.class);
|
long video = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*1.*")), RecordMetaDSumResult.class);
|
long car = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*2.*")), RecordMetaDSumResult.class);
|
long face = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*3.*")), RecordMetaDSumResult.class);
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", Arrays.asList(nonNetwork, network, video, car, face));
|
map.put("list", resultList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 视频：重点点位标注正确率
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result videoImportantPointLabelingAccuracy(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("deviceNo", "osdName");
|
List<Criteria> andCriteria = MongoUtil.getAndCriteria(params, "checkTime", likeFileds, null);
|
Query query = new Query();
|
Criteria and = new Criteria();
|
and.andOperator(andCriteria);
|
query = Query.query(and);
|
//下拉框标注正确查询条件
|
if (params.getOption() != null) {
|
if (params.getOption() == 1) {
|
andCriteria.add(Criteria.where("osdNameCorrect").is(1));
|
andCriteria.add(Criteria.where("osdTimeCorrect").is(1));
|
andCriteria.add(Criteria.where("osdProvinceCorrect").is(1));
|
andCriteria.add(Criteria.where("osdCityCorrect").is(1));
|
andCriteria.add(Criteria.where("osdPartCorrect").is(1));
|
Criteria and2 = new Criteria();
|
and2.andOperator(andCriteria);
|
query = Query.query(and2);
|
} else if (params.getOption() == -1) {
|
// 使用$or条件连接多个字段检查，每个字段检查是否等于-1
|
Criteria c1 = Criteria.where("osdNameCorrect").is(-1);
|
Criteria c2 = Criteria.where("osdTimeCorrect").is(-1);
|
Criteria c3 = Criteria.where("osdProvinceCorrect").is(-1);
|
Criteria c4 = Criteria.where("osdCityCorrect").is(-1);
|
Criteria c5 = Criteria.where("osdPartCorrect").is(-1);
|
Criteria orOperator = new Criteria().orOperator(c1, c2, c3, c4, c5);
|
orOperator.andOperator(andCriteria);
|
query = Query.query(orOperator);
|
} else {
|
Criteria c1 = Criteria.where("osdNameCorrect").is(0);
|
Criteria c2 = Criteria.where("osdTimeCorrect").is(0);
|
Criteria c3 = Criteria.where("osdProvinceCorrect").is(0);
|
Criteria c4 = Criteria.where("osdCityCorrect").is(0);
|
Criteria c5 = Criteria.where("osdPartCorrect").is(0);
|
Criteria orOperator = new Criteria().orOperator(c1, c2, c3, c4, c5);
|
orOperator.andOperator(andCriteria);
|
query = Query.query(orOperator);
|
}
|
}
|
long total = mongoTemplate.count(query, OsdCheckResult.class);
|
MongoUtil.setPage(query, params, "checkTime");
|
List<OsdCheckResult> resultList = mongoTemplate.find(query, OsdCheckResult.class);
|
for (OsdCheckResult osdCheckResult : resultList) {
|
OsdCheckResult.getError(osdCheckResult);
|
}
|
// 统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("osd_check_result");
|
//总数
|
List<Document> dList = new ArrayList<>(2);
|
dList.add(new Document("importantTag", Boolean.TRUE));
|
setTag(params, dList);
|
Document osdFilter = new Document("$and", dList);
|
//正常数
|
List<Document> dList1 = new ArrayList<>(2);
|
dList1.add(new Document("importantTag", Boolean.TRUE));
|
dList1.add(new Document("osdNameCorrect", new Document("$eq", 1)));
|
dList1.add(new Document("osdTimeCorrect", new Document("$eq", 1)));
|
dList1.add(new Document("osdProvinceCorrect", new Document("$eq", 1)));
|
dList1.add(new Document("osdCityCorrect", new Document("$eq", 1)));
|
dList1.add(new Document("osdPartCorrect", new Document("$eq", 1)));
|
setTag(params, dList1);
|
Document osdCorrectFilter = new Document("$and", dList1);
|
//异常数
|
List<Document> dList2 = new ArrayList<>(2);
|
setTag(params, dList2);
|
Document importantTagCondition = new Document("importantTag", Boolean.TRUE);
|
dList2.add(importantTagCondition);
|
List<Document> errorConditions = new ArrayList<>();
|
errorConditions.add(new Document("osdNameCorrect", new Document("$eq", -1)));
|
errorConditions.add(new Document("osdTimeCorrect", new Document("$eq", -1)));
|
errorConditions.add(new Document("osdProvinceCorrect", new Document("$eq", -1)));
|
errorConditions.add(new Document("osdCityCorrect", new Document("$eq", -1)));
|
errorConditions.add(new Document("osdPartCorrect", new Document("$eq", -1)));
|
Document errorFilter = new Document("$or", errorConditions);
|
dList2.add(errorFilter);
|
Document osdErrorFilter = new Document("$and", dList2);
|
//未知数
|
List<Document> dList3 = new ArrayList<>(2);
|
setTag(params, dList3);
|
dList3.add(importantTagCondition);
|
List<Document> unknownConditions = new ArrayList<>();
|
unknownConditions.add(new Document("osdNameCorrect", new Document("$eq", 0)));
|
unknownConditions.add(new Document("osdTimeCorrect", new Document("$eq", 0)));
|
unknownConditions.add(new Document("osdProvinceCorrect", new Document("$eq", 0)));
|
unknownConditions.add(new Document("osdCityCorrect", new Document("$eq", 0)));
|
unknownConditions.add(new Document("osdPartCorrect", new Document("$eq", 0)));
|
// 使用$or逻辑组合剩余的条件
|
Document unknownFilter = new Document("$or", unknownConditions);
|
dList3.add(unknownFilter);
|
Document osdUnknownFilter = new Document("$and", dList3);
|
|
List<Document> lists = Arrays.asList(osdFilter, osdCorrectFilter, osdErrorFilter, osdUnknownFilter);
|
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", "$deviceNo")),
|
new Document("$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());
|
|
// List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
|
// .select(CheckIndexVideo::getKeyAnnotationAccuracy)
|
// .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::getKeyAnnotationAccuracy).reduce(BigDecimal.ZERO, BigDecimal::add);
|
// BigDecimal count = BigDecimal.valueOf(videoList.size());
|
// onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
|
// }
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (!StringUtils.isEmpty(rList.get(0)) && !"0".equals(rList.get(0))) {
|
onlineRate = new BigDecimal(rList.get(1)).divide(new BigDecimal(rList.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
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);
|
}
|
|
@Override
|
public void videoImportantPointLabelingAccuracyExport(HttpServletResponse response, DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("deviceNo", "osdName");
|
List<Criteria> andCriteria = MongoUtil.getAndCriteria(params, "checkTime", likeFileds, null);
|
Query query = new Query();
|
Criteria and = new Criteria();
|
and.andOperator(andCriteria);
|
query = Query.query(and);
|
//下拉框标注正确查询条件
|
if (params.getOption() != null) {
|
if (params.getOption() == 1) {
|
andCriteria.add(Criteria.where("osdNameCorrect").is(1));
|
andCriteria.add(Criteria.where("osdTimeCorrect").is(1));
|
andCriteria.add(Criteria.where("osdProvinceCorrect").is(1));
|
andCriteria.add(Criteria.where("osdCityCorrect").is(1));
|
andCriteria.add(Criteria.where("osdPartCorrect").is(1));
|
Criteria and2 = new Criteria();
|
and2.andOperator(andCriteria);
|
query = Query.query(and2);
|
} else if (params.getOption() == -1) {
|
// 使用$or条件连接多个字段检查，每个字段检查是否等于-1
|
Criteria c1 = Criteria.where("osdNameCorrect").is(-1);
|
Criteria c2 = Criteria.where("osdTimeCorrect").is(-1);
|
Criteria c3 = Criteria.where("osdProvinceCorrect").is(-1);
|
Criteria c4 = Criteria.where("osdCityCorrect").is(-1);
|
Criteria c5 = Criteria.where("osdPartCorrect").is(-1);
|
Criteria orOperator = new Criteria().orOperator(c1, c2, c3, c4, c5);
|
orOperator.andOperator(andCriteria);
|
query = Query.query(orOperator);
|
} else {
|
Criteria c1 = Criteria.where("osdNameCorrect").is(0);
|
Criteria c2 = Criteria.where("osdTimeCorrect").is(0);
|
Criteria c3 = Criteria.where("osdProvinceCorrect").is(0);
|
Criteria c4 = Criteria.where("osdCityCorrect").is(0);
|
Criteria c5 = Criteria.where("osdPartCorrect").is(0);
|
Criteria orOperator = new Criteria().orOperator(c1, c2, c3, c4, c5);
|
orOperator.andOperator(andCriteria);
|
query = Query.query(orOperator);
|
}
|
}
|
List<OsdCheckResult> resultList = mongoTemplate.find(query, OsdCheckResult.class);
|
for (OsdCheckResult osdCheckResult : resultList) {
|
OsdCheckResult.getError(osdCheckResult);
|
StringBuilder tag = new StringBuilder("" +
|
(osdCheckResult.getProvinceTag() ? "省厅、" : "") +
|
(osdCheckResult.getImportantTag() ? "重点点位、" : "") +
|
(osdCheckResult.getImportantCommandImageTag() ? "重点指挥图像、" : "") +
|
(osdCheckResult.getDeptTag() ? "部级、" : ""));
|
// 删除字符串末尾的"、"
|
if (tag.toString().endsWith("、")) {
|
tag = new StringBuilder(tag.substring(0, tag.length() - 1));
|
}
|
osdCheckResult.setTagStr(tag.toString());
|
}
|
ExcelUtil<OsdCheckResult> util = new ExcelUtil<>(OsdCheckResult.class);
|
String sheetName = "OSD标注";
|
|
util.exportExcel(response, resultList, sheetName);
|
}
|
|
/**
|
* 视频：校时正确率(停用)
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result videoCheckTimeAccuracy(DataCenterQuery params) {
|
|
List<String> likeFileds = Arrays.asList("deviceId");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
|
long total = mongoTemplate.count(query, OneMachineFileResult.class);
|
List<OneMachineFileResult> resultList = mongoTemplate.find(query, OneMachineFileResult.class);
|
// 统计数
|
long nonNetwork = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("0")), OneMachineFileResult.class);
|
long network = mongoTemplate.count(new Query().addCriteria(Criteria.where("LWSX").is("1")), OneMachineFileResult.class);
|
long video = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*1.*")), OneMachineFileResult.class);
|
long car = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*2.*")), OneMachineFileResult.class);
|
long face = mongoTemplate.count(new Query().addCriteria(Criteria.where("SXJGNLX").regex(".*3.*")), OneMachineFileResult.class);
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", Arrays.asList(nonNetwork, network, video, car, face));
|
map.put("list", resultList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 视频：重点点位校时正确率
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result videoImportantPointCheckTimeAccuracy(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("deviceNo", "osdName");
|
Query query = MongoUtil.getQuery(params, "checkTime", likeFileds, null);
|
//下拉框标注正确查询条件
|
if (params.getOption() != null) {
|
if (params.getOption() == 1) {
|
query.addCriteria(Criteria.where("osdTimeCorrect").is(1));
|
} else if (params.getOption() == -1) {
|
query.addCriteria(Criteria.where("osdTimeCorrect").is(-1));
|
} else {
|
query.addCriteria(Criteria.where("osdTimeCorrect").is(0));
|
}
|
}
|
|
long total = mongoTemplate.count(query, OsdCheckResult.class);
|
MongoUtil.setPage(query, params, "checkTime");
|
List<OsdCheckResult> resultList = mongoTemplate.find(query, OsdCheckResult.class);
|
|
for (OsdCheckResult osdCheckResult : resultList) {
|
OsdCheckResult.getError(osdCheckResult);
|
}
|
// 统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("osd_check_result");
|
//总数
|
List<Document> dList = new ArrayList<>(2);
|
dList.add(new Document("importantTag", Boolean.TRUE));
|
setTag(params, dList);
|
Document osdFilter = new Document("$and", dList);
|
//正常数
|
List<Document> dList1 = new ArrayList<>(2);
|
dList1.add(new Document("importantTag", Boolean.TRUE));
|
dList1.add(new Document("osdNameCorrect", new Document("$eq", 1)));
|
dList1.add(new Document("osdTimeCorrect", new Document("$eq", 1)));
|
dList1.add(new Document("osdProvinceCorrect", new Document("$eq", 1)));
|
dList1.add(new Document("osdCityCorrect", new Document("$eq", 1)));
|
dList1.add(new Document("osdPartCorrect", new Document("$eq", 1)));
|
setTag(params, dList1);
|
Document osdCorrectFilter = new Document("$and", dList1);
|
//异常数
|
List<Document> dList2 = new ArrayList<>(2);
|
setTag(params, dList2);
|
Document importantTagCondition = new Document("importantTag", Boolean.TRUE);
|
dList2.add(importantTagCondition);
|
List<Document> errorConditions = new ArrayList<>();
|
errorConditions.add(new Document("osdNameCorrect", new Document("$eq", -1)));
|
errorConditions.add(new Document("osdTimeCorrect", new Document("$eq", -1)));
|
errorConditions.add(new Document("osdProvinceCorrect", new Document("$eq", -1)));
|
errorConditions.add(new Document("osdCityCorrect", new Document("$eq", -1)));
|
errorConditions.add(new Document("osdPartCorrect", new Document("$eq", -1)));
|
Document errorFilter = new Document("$or", errorConditions);
|
dList2.add(errorFilter);
|
Document osdErrorFilter = new Document("$and", dList2);
|
//未知数
|
List<Document> dList3 = new ArrayList<>(2);
|
setTag(params, dList3);
|
dList3.add(importantTagCondition);
|
List<Document> unknownConditions = new ArrayList<>();
|
unknownConditions.add(new Document("osdNameCorrect", new Document("$eq", 0)));
|
unknownConditions.add(new Document("osdTimeCorrect", new Document("$eq", 0)));
|
unknownConditions.add(new Document("osdProvinceCorrect", new Document("$eq", 0)));
|
unknownConditions.add(new Document("osdCityCorrect", new Document("$eq", 0)));
|
unknownConditions.add(new Document("osdPartCorrect", new Document("$eq", 0)));
|
// 使用$or逻辑组合剩余的条件
|
Document unknownFilter = new Document("$or", unknownConditions);
|
dList3.add(unknownFilter);
|
Document osdUnknownFilter = new Document("$and", dList3);
|
|
List<Document> lists = Arrays.asList(osdFilter, osdCorrectFilter, osdErrorFilter, osdUnknownFilter);
|
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", "$deviceNo")),
|
new Document("$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());
|
|
// List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
|
// .select(CheckIndexVideo::getKeyTimingAccuracy)
|
// .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::getKeyTimingAccuracy).reduce(BigDecimal.ZERO, BigDecimal::add);
|
// BigDecimal count = BigDecimal.valueOf(videoList.size());
|
// onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
|
// }
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (!StringUtils.isEmpty(rList.get(0)) && !"0".equals(rList.get(0))) {
|
onlineRate = new BigDecimal(rList.get(1)).divide(new BigDecimal(rList.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
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);
|
}
|
|
|
/**
|
* 车辆：视图库对接稳定性
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result vehicleViewDockStable(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
//加DataType为车辆
|
query.addCriteria(Criteria.where("dataType").is(ApiConstants.HK_DataType_CAR));
|
if (params.getOption() != null) {
|
if (ApiConstants.HK_SnapCount_ResultType_Normal.equals(params.getOption())) {
|
query.addCriteria(Criteria.where("resultType").is(ApiConstants.HK_SnapCount_ResultType_Normal));
|
} else if (ApiConstants.HK_SnapCount_ResultType_Null.equals(params.getOption())) {
|
query.addCriteria(Criteria.where("resultType").is(ApiConstants.HK_SnapCount_ResultType_Null));
|
} else if (ApiConstants.HK_SnapCount_ResultType_Descent.equals(params.getOption())) {
|
query.addCriteria(Criteria.where("resultType").is(ApiConstants.HK_SnapCount_ResultType_Descent));
|
} else if (ApiConstants.HK_SnapCount_ResultType_Low.equals(params.getOption())) {
|
query.addCriteria(Criteria.where("resultType").is(ApiConstants.HK_SnapCount_ResultType_Low));
|
}
|
}
|
long total = mongoTemplate.count(query, SnapshotDataMonitorResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<SnapshotDataMonitorResult> resultList = mongoTemplate.find(query, SnapshotDataMonitorResult.class);
|
resultList.forEach(item -> item.setResultTypeText(item.getResultTypeText()));
|
// 统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("hk_snapshot_data_monitor");
|
|
List<Document> dList2 = new ArrayList<>(2);
|
dList2.add(new Document("resultType", new Document("$eq", 1)));
|
dList2.add(new Document("dataType", new Document("$eq", ApiConstants.HK_DataType_CAR)));
|
setTag(params, dList2);
|
List<Document> dList3 = new ArrayList<>(2);
|
dList3.add(new Document("resultType", new Document("$eq", 2)));
|
dList3.add(new Document("dataType", new Document("$eq", ApiConstants.HK_DataType_CAR)));
|
setTag(params, dList3);
|
List<Document> dList4 = new ArrayList<>(2);
|
dList4.add(new Document("resultType", new Document("$eq", 3)));
|
dList4.add(new Document("dataType", new Document("$eq", ApiConstants.HK_DataType_CAR)));
|
setTag(params, dList4);
|
List<Document> dList5 = new ArrayList<>(2);
|
dList5.add(new Document("resultType", new Document("$eq", 4)));
|
dList5.add(new Document("dataType", new Document("$eq", ApiConstants.HK_DataType_CAR)));
|
setTag(params, dList5);
|
Document normalFilter = new Document("$and", dList2);
|
Document noDataFilter = new Document("$and", dList3);
|
Document downFilter = new Document("$and", dList4);
|
Document lessFilter = new Document("$and", dList5);
|
List<Document> lists = Arrays.asList(normalFilter, noDataFilter,downFilter,lessFilter);
|
List<String> rList = lists.stream().map(filter -> {
|
// 构建聚合管道
|
List<Document> pipeline = Arrays.asList(
|
new Document("$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 $count 只会产生一个结果
|
}
|
return uniqueDeviceIdCount + "";
|
}).collect(Collectors.toList());
|
// 构建基本的$match条件
|
List<Document> matchConditions = new ArrayList<>();
|
setTag(params, matchConditions);
|
matchConditions.add(new Document("dataType", new Document("$eq", ApiConstants.HK_DataType_CAR)));
|
List<Document> pipeline = Arrays.asList(
|
new Document("$match", new Document("$and", matchConditions)),
|
new Document("$group", new Document("_id", "$mongoCreateTime")
|
.append("dataCount", new Document("$sum", "$dataCount"))
|
));
|
// 执行聚合查询并获取结果
|
AggregateIterable<Document> result = collection.aggregate(pipeline);
|
int dataCount = 0;
|
for (Document doc : result) {
|
dataCount = doc.getInteger("dataCount");
|
}
|
rList.add(0, dataCount + "");
|
// List<CheckIndexCar> carList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
|
// .select(CheckIndexCar::getViewConnectStability)
|
// .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .list();
|
// BigDecimal onlineRate = BigDecimal.ZERO;
|
// if (CollectionUtils.isNotEmpty(carList)) {
|
// BigDecimal sum = carList.stream().map(CheckIndexCar::getViewConnectStability).reduce(BigDecimal.ZERO, BigDecimal::add);
|
// BigDecimal count = BigDecimal.valueOf(carList.size());
|
// onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
|
// }
|
BigDecimal normal = new BigDecimal(rList.get(1));
|
BigDecimal noData = new BigDecimal(rList.get(2));
|
BigDecimal down = new BigDecimal(rList.get(3));
|
BigDecimal less = new BigDecimal(rList.get(4));
|
BigDecimal totalCount = normal.add(noData).add(down).add(less);
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (totalCount.compareTo(BigDecimal.ZERO)>0) {
|
onlineRate = normal.divide(totalCount, 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
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);
|
}
|
|
/**
|
* 车辆：点位在线率
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result vehiclePointOnlineRate(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("name", "no", "ip");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
//查车辆设备
|
query.addCriteria(Criteria.where("monitorType").regex(".*" + CheckConstants.Rule_Category_Car + ".*"));
|
//下拉框在线情况查询条件
|
if (params.getOption() != null) {
|
query.addCriteria(Criteria.where("online").is(params.getOption()));
|
}
|
Sort sort = Sort.by(
|
Sort.Order.asc("pingOnline"), // 首先按照 pingOnline 升序排序
|
Sort.Order.desc("offLineCount") // 首先按照 pingOnline 升序排序
|
);
|
// 通过pingOnline字段排序，为false的排在前面
|
query.with(sort);
|
//分页数量
|
long total = mongoTemplate.count(query, TMonitorResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
//系统ping的结果
|
List<TMonitorResult> resultList = mongoTemplate.find(query, TMonitorResult.class);
|
params.setDeptTag(-1);
|
params.setDeviceType(2);
|
resultList.forEach(item -> {
|
if (item.getPingOnline() == null) {
|
item.setPingOnlineStr("未知");
|
} else if (item.getPingOnline()) {
|
item.setPingOnlineStr("在线");
|
} else if (!item.getPingOnline()) {
|
item.setPingOnlineStr("离线");
|
}
|
if (1 == item.getOnline()) {
|
item.setOnlineStr("在线");
|
} else if (-1 == item.getOnline()) {
|
item.setOnlineStr("离线");
|
} else {
|
item.setOnlineStr("未知");
|
}
|
List<String> offLineTime = item.getOffLineTimeStr();
|
if (!CollectionUtils.isEmpty(offLineTime)) {
|
//后续可以改成配置的离线次数(提取前n次，n为配置的离线次数)
|
if (offLineTime.size() > 1) {
|
offLineTime = offLineTime.subList(0, 2);
|
}
|
item.setOffLineTimeStr(offLineTime);
|
}
|
//添加动态数据
|
List<DynamicColumnVO> list = dynamicColumnMapper.getDynamicColumnByTable(TableNameConstants.COLUMN_NAME_CAR_POINT,item.getNo());
|
item.setDynamicColumnList(list);
|
});
|
|
// 统计设备数量
|
//卡片统计
|
int totalCount = 0;
|
int onlineCount = 0;
|
int offlineCount = 0;
|
int unknownCount = 0;
|
//构建条件
|
List<Criteria> criteriaList = new ArrayList<>();
|
// 添加固定条件
|
criteriaList.add(Criteria.where("monitorType").regex(".*" + CheckConstants.Rule_Category_Car + ".*"));
|
criteriaList.add(Criteria.where("mongoCreateTime").gte(params.getStartTime()).lte(params.getEndTime()));
|
// 根据dataType动态添加条件
|
if (params.getDataType() == 1) {
|
criteriaList.add(Criteria.where("provinceTag").is(Boolean.TRUE));
|
} else if (params.getDataType() == 2) {
|
criteriaList.add(Criteria.where("deptTag").is(Boolean.TRUE));
|
}
|
// 构建match操作
|
MatchOperation match = Aggregation.match(
|
new Criteria().andOperator(criteriaList.toArray(new Criteria[0]))
|
);
|
GroupOperation group = Aggregation.group()
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Online)).then(1).otherwise(0)).as("onlineCount")
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Offline)).then(1).otherwise(0)).as("offlineCount")
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Unknown)).then(1).otherwise(0)).as("unknownCount");
|
// 将匹配阶段和分组阶段组合起来
|
Aggregation aggregation = Aggregation.newAggregation(match, group);
|
// 执行聚合查询
|
AggregationResults<Map> results = mongoTemplate.aggregate(aggregation, "t_monitor_online", Map.class); // 替换为你的集合名称
|
for (Map<String, Object> result : results.getMappedResults()) {
|
offlineCount = (Integer) result.getOrDefault("offlineCount", 0L);
|
unknownCount = (Integer) result.getOrDefault("unknownCount", 0L);
|
onlineCount = (Integer) result.getOrDefault("onlineCount", 0L);
|
totalCount = offlineCount + unknownCount + onlineCount;
|
}
|
|
// List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
|
// .select(CheckIndexCar::getSiteOnline)
|
// .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .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));
|
// }
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (totalCount!=0) {
|
onlineRate = new BigDecimal(onlineCount).divide(new BigDecimal(totalCount), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", Arrays.asList(totalCount + "", onlineCount + "", offlineCount + "", unknownCount + "", this.remove0(onlineRate)));
|
map.put("list", resultList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 车辆：互联网卡口设备目录一致性
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result vehicleNetDeviceDirectoryConsistency(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("ip.showValue", "name.showValue", "serialNumber.showValue");
|
List<Criteria> andCriteria = MongoUtil.getAndCriteria(params, TIME_FIELD, likeFileds, null);
|
// 1/2/3 视频/车辆/人脸
|
Pattern pattern = Pattern.compile(".*2.*");
|
andCriteria.add(Criteria.where("sxjgnlx.value").regex(pattern));
|
Query query = new Query();
|
Criteria and = new Criteria();
|
if (params.getOption() != null) {
|
if (params.getOption() == 1) {
|
andCriteria.add(Criteria.where("newDevice").is(Boolean.TRUE));
|
} else if (params.getOption() == -1) {
|
andCriteria.add(Criteria.where("newDevice").is(Boolean.FALSE));
|
}
|
}
|
and.andOperator(andCriteria);
|
query = Query.query(and);
|
long total = mongoTemplate.count(query, MonitorQualifyResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<MonitorQualifyResult> resultList = mongoTemplate.find(query, MonitorQualifyResult.class);
|
List<MonitorQualifyResultVO> resultVOS = new ArrayList<>();
|
for (MonitorQualifyResult result : resultList) {
|
MonitorQualifyResultVO vo = MonitorQualifyResult.getVO(result);
|
resultVOS.add(vo);
|
}
|
//统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("uy_monitor_qualify");
|
//总数
|
List<Document> dList1 = new ArrayList<>(2);
|
setTag(params, dList1);
|
dList1.add(new Document("sxjgnlx.value", new Document("$regex", ".*2.*")));
|
Document totalFilter = new Document("$and", dList1);
|
//新设备数
|
List<Document> dList2 = new ArrayList<>(2);
|
setTag(params, dList2);
|
dList2.add(new Document("sxjgnlx.value", new Document("$regex", ".*2.*")));
|
dList2.add(new Document("newDevice", Boolean.TRUE));
|
Document newFilter = new Document("$and", dList2);
|
|
List<Document> lists = Arrays.asList(totalFilter, newFilter);
|
List<String> rList = lists.stream().map(filter -> {
|
// 构建聚合管道
|
List<Document> pipeline = Arrays.asList(
|
new Document("$match", filter),
|
// $group 去重
|
new Document("$group", new Document("_id", "$serialNumber.showValue")),
|
new Document("$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());
|
|
// List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
|
// .select(CheckIndexCar::getDeviceDirectoryConsistent)
|
// .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .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));
|
// }
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (!StringUtils.isEmpty(rList.get(0)) && !"0".equals(rList.get(0))) {
|
onlineRate = new BigDecimal(rList.get(0)).subtract(new BigDecimal(rList.get(1))).divide(new BigDecimal(rList.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
rList.add(this.remove0(onlineRate));
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", rList);
|
map.put("list", resultVOS);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 车辆：车辆卡口信息采集准确率
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result vehicleCollectionConsistency(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("externalIndexCode", "crossName");
|
List<Criteria> andCriteria = MongoUtil.getAndCriteria(params, TIME_FIELD, likeFileds, null);
|
Query query = new Query();
|
Criteria and = new Criteria();
|
and.andOperator(andCriteria);
|
query = Query.query(and);
|
if (params.getOption() != null) {
|
if (params.getOption() == 1) {
|
query.addCriteria(Criteria.where("lalType").is(ApiConstants.HK_Info_LayType_Normal));
|
query.addCriteria(Criteria.where("gbCodeType").is(ApiConstants.HK_Info_GbCodeType_Normal));
|
} else if (params.getOption() == -1) {
|
Criteria lalType = Criteria.where("lalType").ne(ApiConstants.HK_Info_LayType_Normal);
|
Criteria gbCodeType = Criteria.where("gbCodeType").ne(ApiConstants.HK_Info_GbCodeType_Normal);
|
Criteria orOperator = new Criteria().orOperator(lalType, gbCodeType);
|
orOperator.andOperator(andCriteria);
|
query = Query.query(orOperator);
|
}
|
}
|
|
long total = mongoTemplate.count(query, CrossDetailResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<CrossDetailResult> resultList = mongoTemplate.find(query, CrossDetailResult.class);
|
|
// 统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("hk_cross_detail");
|
|
List<Document> dList1 = new ArrayList<>(2);
|
setTag(params, dList1);
|
List<Document> dList2 = new ArrayList<>(2);
|
dList2.add(new Document("lalType", new Document("$eq", 1)));
|
dList2.add(new Document("gbCodeType", new Document("$eq", 1)));
|
setTag(params, dList2);
|
List<Document> dList3 = new ArrayList<>(2);
|
setTag(params, dList3);
|
List<Document> errorConditions = new ArrayList<>();
|
errorConditions.add(new Document("lalType", new Document("$ne", 1)));
|
errorConditions.add(new Document("gbCodeType", new Document("$ne", 1)));
|
Document errorDoc = new Document("$or", errorConditions);
|
dList3.add(errorDoc);
|
Document totalFilter = new Document("$and", dList1);
|
Document correctFilter = new Document("$and", dList2);
|
Document errorFilter = new Document("$and", dList3);
|
|
List<Document> lists = Arrays.asList(totalFilter, correctFilter, errorFilter);
|
List<String> rList = lists.stream().map(filter -> {
|
// 构建聚合管道
|
List<Document> pipeline = Arrays.asList(
|
new Document("$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());
|
|
// List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
|
// .select(CheckIndexCar::getVehicleInformationCollectionAccuracy)
|
// .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .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));
|
// }
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (!StringUtils.isEmpty(rList.get(0)) && !"0".equals(rList.get(0))) {
|
onlineRate = new BigDecimal(rList.get(1)).divide(new BigDecimal(rList.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
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);
|
}
|
|
/**
|
* 车辆：车辆卡口设备抓拍数据完整性
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result vehicleCollectionDataIntegrity(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
if (params.getOption() != null) {
|
//主要属性不完整
|
if (params.getOption() == 1) {
|
query.addCriteria(Criteria.where("noIntegrityCount").gt(0));
|
} else if (params.getOption() == -1) {
|
//属性不完整
|
query.addCriteria(Criteria.where("mainNoIntegrityCount").gt(0));
|
}
|
}
|
long total = mongoTemplate.count(query, DataIntegrityMonitoringResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<DataIntegrityMonitoringResult> resultList = mongoTemplate.find(query, DataIntegrityMonitoringResult.class);
|
|
// 统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("hk_data_integrity_monitoring");
|
|
//抓拍量求和
|
// 构建基本的$match条件
|
List<Document> matchConditions = new ArrayList<>();
|
setTag(params, matchConditions);
|
List<Document> pipeline = Arrays.asList(
|
new Document("$match", new Document("$and", matchConditions)),
|
new Document("$group", new Document("_id", "$mongoCreateTime")
|
.append("dataCount", new Document("$sum", "$dataCount"))
|
.append("noIntegrityCount", new Document("$sum", "$noIntegrityCount"))
|
.append("mainNoIntegrityCount", new Document("$sum", "$mainNoIntegrityCount"))
|
));
|
// 执行聚合查询并获取结果
|
AggregateIterable<Document> result = collection.aggregate(pipeline);
|
int dataCount = 0;
|
int noIntegrityCount = 0;
|
int mainNoIntegrityCount = 0;
|
for (Document doc : result) {
|
dataCount = doc.getInteger("dataCount");
|
noIntegrityCount = doc.getInteger("noIntegrityCount");
|
mainNoIntegrityCount = doc.getInteger("mainNoIntegrityCount");
|
}
|
|
// List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
|
// .select(CheckIndexCar::getVehicleCaptureIntegrity)
|
// .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .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));
|
// }
|
List<String> countList = new ArrayList<>();
|
countList.add(dataCount + "");
|
countList.add(noIntegrityCount + "");
|
countList.add(mainNoIntegrityCount + "");
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (dataCount!=0) {
|
onlineRate = new BigDecimal(dataCount-noIntegrityCount).divide(new BigDecimal(dataCount), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
countList.add(this.remove0(onlineRate));
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", countList);
|
map.put("list", resultList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 车辆：车辆卡口设备抓拍数据准确性
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result vehicleCollectionDataCaptured(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
if (params.getOption() != null) {
|
//主要属性不一致
|
if (params.getOption() == 1) {
|
query.addCriteria(Criteria.where("majorDiffCount").gt(0));
|
} else if (params.getOption() == -1) {
|
//重要属性不一致
|
query.addCriteria(Criteria.where("importantDiffCount").gt(0));
|
}
|
}
|
long total = mongoTemplate.count(query, AttrRecognitionMonitorResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<AttrRecognitionMonitorResult> resultList = mongoTemplate.find(query, AttrRecognitionMonitorResult.class);
|
|
// 统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("hk_attr_recognition_monitor");
|
|
// 构建基本的$match条件
|
List<Document> matchConditions = new ArrayList<>();
|
setTag(params, matchConditions);
|
List<Document> pipeline = Arrays.asList(
|
new Document("$match", new Document("$and", matchConditions)),
|
new Document("$group", new Document("_id", "$mongoCreateTime")
|
.append("sampleCount", new Document("$sum", "$sampleCount"))
|
.append("majorDiffCount", new Document("$sum", "$majorDiffCount"))
|
.append("importantDiffCount", new Document("$sum", "$importantDiffCount"))
|
));
|
// 执行聚合查询并获取结果
|
AggregateIterable<Document> result = collection.aggregate(pipeline);
|
int sampleCount = 0;
|
int majorDiffCount = 0;
|
int importantDiffCount = 0;
|
for (Document doc : result) {
|
sampleCount = doc.getInteger("sampleCount");
|
majorDiffCount = doc.getInteger("majorDiffCount");
|
importantDiffCount = doc.getInteger("importantDiffCount");
|
}
|
|
// List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
|
// .select(CheckIndexCar::getVehicleCaptureAccuracy)
|
// .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .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));
|
// }
|
|
List<String> countList = new ArrayList<>();
|
countList.add(sampleCount + "");
|
countList.add(majorDiffCount + "");
|
countList.add(importantDiffCount + "");
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (sampleCount!=0) {
|
onlineRate = new BigDecimal(sampleCount-majorDiffCount).divide(new BigDecimal(sampleCount), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
countList.add(this.remove0(onlineRate));
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", countList);
|
map.put("list", resultList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 车辆：车辆卡口设备时钟准确性
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result vehicleClockAccuracy(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
if (params.getOption() != null) {
|
//当日时钟异常
|
if (params.getOption() == 1) {
|
query.addCriteria(Criteria.where("majorDiffCount").gt(0));
|
} else if (params.getOption() == -1) {
|
//全部时钟异常
|
query.addCriteria(Criteria.where("importantDiffCount").gt(0));
|
}
|
}
|
long total = mongoTemplate.count(query, VehicleDeviceInspectionResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<VehicleDeviceInspectionResult> resultList = mongoTemplate.find(query, VehicleDeviceInspectionResult.class);
|
List<SnapClockVO> resultVos = new ArrayList<>();
|
resultList.forEach(item -> {
|
SnapClockVO vo = VehicleDeviceInspectionResult.getVO(item);
|
resultVos.add(vo);
|
});
|
|
// 统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("hk_vehicle_device_inspection");
|
|
List<Document> dList1 = new ArrayList<>(2);
|
dList1.add(new Document("snapClock.todayClockResult", new Document("$eq", 1)));
|
setTag(params, dList1);
|
List<Document> dList2 = new ArrayList<>(2);
|
dList2.add(new Document("snapClock.todayClockResult", new Document("$eq", 0)));
|
setTag(params, dList2);
|
List<Document> dList3 = new ArrayList<>(2);
|
dList3.add(new Document("snapClock.allClockResult", new Document("$eq", 1)));
|
setTag(params, dList3);
|
List<Document> dList4 = new ArrayList<>(2);
|
dList4.add(new Document("snapClock.allClockResult", new Document("$eq", 0)));
|
setTag(params, dList4);
|
Document todayFilter = new Document("$and", dList1);
|
Document todayErrFilter = new Document("$and", dList2);
|
Document allFilter = new Document("$and", dList3);
|
Document allErrFilter = new Document("$and", dList4);
|
|
List<Document> lists = Arrays.asList(todayFilter, todayErrFilter, allFilter, allErrFilter);
|
List<String> rList = lists.stream().map(filter -> {
|
// 构建聚合管道
|
List<Document> pipeline = Arrays.asList(
|
new Document("$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());
|
|
// List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
|
// .select(CheckIndexCar::getVehicleTimingAccuracy)
|
// .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .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));
|
// }
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
BigDecimal normal = new BigDecimal(rList.get(0));
|
BigDecimal abnormal = new BigDecimal(rList.get(1));
|
BigDecimal totalCount = normal.add(abnormal);
|
if (totalCount.compareTo(BigDecimal.ZERO)>0) {
|
onlineRate = normal.divide(totalCount, 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
rList.add(this.remove0(onlineRate));
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", rList);
|
map.put("list", resultVos);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 车辆：车辆卡口设备抓拍数据上传及时性
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result vehicleTimelyUploadAccuracy(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
query.addCriteria(Criteria.where("dataType").is(ApiConstants.HK_DataType_CAR));
|
if (params.getOption() != null) {
|
//正常
|
if (params.getOption() == 1) {
|
query.addCriteria(Criteria.where("delayCount").is(0));
|
} else if (params.getOption() == -1) {
|
//延迟
|
query.addCriteria(Criteria.where("delayCount").gt(0));
|
}
|
}
|
long total = mongoTemplate.count(query, SnapshotDelayMonitorResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<SnapshotDelayMonitorResult> resultList = mongoTemplate.find(query, SnapshotDelayMonitorResult.class);
|
// 统计数
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("hk_snapshop_delay_monitor");
|
|
List<Document> dList1 = new ArrayList<>(2);
|
setTag(params, dList1);
|
dList1.add(new Document("dataType", new Document("$eq", ApiConstants.HK_DataType_CAR)));
|
Document allFilter = new Document("$and", dList1);
|
List<Document> dList2 = new ArrayList<>(2);
|
dList2.add(new Document("dataType", new Document("$eq", ApiConstants.HK_DataType_CAR)));
|
dList2.add(new Document("delayCount", new Document("$gt", 0)));
|
setTag(params, dList2);
|
Document delayFilter = new Document("$and", dList2);
|
|
List<Document> lists = Arrays.asList(allFilter, delayFilter);
|
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());
|
|
|
// List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
|
// .select(CheckIndexCar::getVehicleUploadTimeliness)
|
// .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .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));
|
// }
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (!StringUtils.isEmpty(rList.get(0)) && !"0".equals(rList.get(0))) {
|
onlineRate = new BigDecimal(rList.get(0)).subtract(new BigDecimal(rList.get(1))).divide(new BigDecimal(rList.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
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);
|
}
|
|
/**
|
* 车辆：车辆卡口设备url可用性
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result vehicleUrlAccuracy(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
if (params.getOption() != null) {
|
if (params.getOption() == 1) {
|
query.addCriteria(Criteria.where("expCount").is(0));
|
} else if (params.getOption() == -1) {
|
query.addCriteria(Criteria.where("expCount").gt(0));
|
}
|
}
|
long total = mongoTemplate.count(query, PicAccessResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
query.with(Sort.by(Sort.Order.desc("expCount")));
|
List<PicAccessResult> resultList = mongoTemplate.find(query, PicAccessResult.class);
|
|
// 统计数
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("hk_pic_access");
|
// 构建基本的$match条件
|
List<Document> matchConditions = new ArrayList<>();
|
setTag(params, matchConditions);
|
List<Document> pipeline = Arrays.asList(
|
new Document("$match", new Document("$and", matchConditions)),
|
new Document("$group", new Document("_id", "$mongoCreateTime")
|
.append("sampleCount", new Document("$sum", "$sampleCount"))
|
.append("expCount", new Document("$sum", "$expCount"))
|
));
|
// 执行聚合查询并获取结果
|
AggregateIterable<Document> result = collection.aggregate(pipeline);
|
int sampleCount = 0;
|
int expCount = 0;
|
for (Document doc : result) {
|
sampleCount = doc.getInteger("sampleCount");
|
expCount = doc.getInteger("expCount");
|
}
|
|
List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
|
.select(CheckIndexCar::getVehicleUrlAvailability)
|
.eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
|
.eq(params.getDataType().equals(2), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
.between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
.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));
|
}
|
List<String> rList = new ArrayList<>();
|
rList.add(sampleCount + "");
|
rList.add(expCount + "");
|
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);
|
}
|
|
/**
|
* 车辆：车辆卡口设备抓拍数据大图可用性
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result vehicleBigImgAccuracy(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
if (params.getOption() != null) {
|
if (params.getOption() == 1) {
|
query.addCriteria(Criteria.where("bigUseful.bigPicExpCount").is(0));
|
} else if (params.getOption() == -1) {
|
query.addCriteria(Criteria.where("bigUseful.bigPicExpCount").gt(0));
|
}
|
}
|
long total = mongoTemplate.count(query, VehicleDeviceSamplingResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
query.with(Sort.by(Sort.Order.desc("bigUseful.bigPicExpCount")));
|
List<VehicleDeviceSamplingResult> resultList = mongoTemplate.find(query, VehicleDeviceSamplingResult.class);
|
List<BigPicUsefulVO> voList = new ArrayList<>();
|
resultList.forEach(item -> {
|
BigPicUsefulVO picVO = VehicleDeviceSamplingResult.getPicVO(item);
|
voList.add(picVO);
|
});
|
// 统计数
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("hk_vehicle_device_sampling");
|
// 构建基本的$match条件
|
List<Document> matchConditions = new ArrayList<>();
|
setTag(params, matchConditions);
|
List<Document> pipeline = Arrays.asList(
|
new Document("$match", new Document("$and", matchConditions)),
|
new Document("$group", new Document("_id", "$mongoCreateTime")
|
.append("sampleCount", new Document("$sum", "$bigUseful.sampleCount"))
|
.append("expCount", new Document("$sum", "$bigUseful.bigPicExpCount"))
|
));
|
// 执行聚合查询并获取结果
|
AggregateIterable<Document> result = collection.aggregate(pipeline);
|
int sampleCount = 0;
|
int expCount = 0;
|
for (Document doc : result) {
|
sampleCount = doc.getInteger("sampleCount");
|
expCount = doc.getInteger("expCount");
|
}
|
List<String> countList = new ArrayList<>();
|
// List<CheckIndexCar> videoList = new LambdaQueryChainWrapper<>(checkIndexCarService.getBaseMapper())
|
// .select(CheckIndexCar::getVehiclePictureAvailability)
|
// .eq(params.getDataType().equals(1), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexCar::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexCar::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .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));
|
// }
|
countList.add(sampleCount + "");
|
countList.add(expCount + "");
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (sampleCount!=0) {
|
onlineRate = new BigDecimal(sampleCount-expCount).divide(new BigDecimal(sampleCount), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
countList.add(this.remove0(onlineRate));
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", countList);
|
map.put("list", voList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 人脸：视图库对接稳定性
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result faceViewDockStable(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
//加DataType为车辆
|
query.addCriteria(Criteria.where("dataType").is(ApiConstants.HK_DataType_FACE));
|
if (params.getOption() != null) {
|
if (ApiConstants.HK_SnapCount_ResultType_Normal.equals(params.getOption())) {
|
query.addCriteria(Criteria.where("resultType").is(ApiConstants.HK_SnapCount_ResultType_Normal));
|
} else if (ApiConstants.HK_SnapCount_ResultType_Null.equals(params.getOption())) {
|
query.addCriteria(Criteria.where("resultType").is(ApiConstants.HK_SnapCount_ResultType_Null));
|
} else if (ApiConstants.HK_SnapCount_ResultType_Descent.equals(params.getOption())) {
|
query.addCriteria(Criteria.where("resultType").is(ApiConstants.HK_SnapCount_ResultType_Descent));
|
} else if (ApiConstants.HK_SnapCount_ResultType_Low.equals(params.getOption())) {
|
query.addCriteria(Criteria.where("resultType").is(ApiConstants.HK_SnapCount_ResultType_Low));
|
}
|
}
|
long total = mongoTemplate.count(query, SnapshotDataMonitorResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<SnapshotDataMonitorResult> resultList = mongoTemplate.find(query, SnapshotDataMonitorResult.class);
|
resultList.forEach(item -> item.setResultTypeText(item.getResultTypeText()));
|
// 统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("hk_snapshot_data_monitor");
|
|
List<Document> dList2 = new ArrayList<>(2);
|
dList2.add(new Document("resultType", new Document("$eq", 1)));
|
dList2.add(new Document("dataType", new Document("$eq", ApiConstants.HK_DataType_CAR)));
|
setTag(params, dList2);
|
List<Document> dList3 = new ArrayList<>(2);
|
dList3.add(new Document("resultType", new Document("$eq", 2)));
|
dList3.add(new Document("dataType", new Document("$eq", ApiConstants.HK_DataType_CAR)));
|
setTag(params, dList3);
|
|
List<Document> dList4 = new ArrayList<>(2);
|
dList4.add(new Document("resultType", new Document("$eq", 3)));
|
dList4.add(new Document("dataType", new Document("$eq", ApiConstants.HK_DataType_CAR)));
|
setTag(params, dList4);
|
List<Document> dList5 = new ArrayList<>(2);
|
dList5.add(new Document("resultType", new Document("$eq", 4)));
|
dList5.add(new Document("dataType", new Document("$eq", ApiConstants.HK_DataType_CAR)));
|
setTag(params, dList5);
|
Document normalFilter = new Document("$and", dList2);
|
Document noDataFilter = new Document("$and", dList3);
|
Document downFilter = new Document("$and", dList4);
|
Document lessFilter = new Document("$and", dList5);
|
List<Document> lists = Arrays.asList(normalFilter, noDataFilter,downFilter,lessFilter);
|
List<String> rList = lists.stream().map(filter -> {
|
// 构建聚合管道
|
List<Document> pipeline = Arrays.asList(
|
new Document("$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 $count 只会产生一个结果
|
}
|
return uniqueDeviceIdCount + "";
|
}).collect(Collectors.toList());
|
//抓拍量求和
|
// 构建基本的$match条件
|
List<Document> matchConditions = new ArrayList<>();
|
setTag(params, matchConditions);
|
matchConditions.add(new Document("dataType", new Document("$eq", ApiConstants.HK_DataType_FACE)));
|
List<Document> pipeline = Arrays.asList(
|
new Document("$match", new Document("$and", matchConditions)),
|
new Document("$group", new Document("_id", "$mongoCreateTime")
|
.append("dataCount", new Document("$sum", "$dataCount"))
|
));
|
// 执行聚合查询并获取结果
|
AggregateIterable<Document> result = collection.aggregate(pipeline);
|
int dataCount = 0;
|
for (Document doc : result) {
|
dataCount = doc.getInteger("dataCount");
|
}
|
rList.add(0, dataCount + "");
|
// List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
|
// .select(CheckIndexFace::getViewConnectStability)
|
// .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexFace::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .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));
|
// }
|
BigDecimal normal = new BigDecimal(rList.get(1));
|
BigDecimal noData = new BigDecimal(rList.get(2));
|
BigDecimal down = new BigDecimal(rList.get(3));
|
BigDecimal less = new BigDecimal(rList.get(4));
|
BigDecimal totalCount = normal.add(noData).add(down).add(less);
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (totalCount.compareTo(BigDecimal.ZERO)>0) {
|
onlineRate = normal.divide(totalCount, 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
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);
|
}
|
|
/**
|
* 人脸：点位在线率
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result facePointOnlineRate(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("name", "no", "ip");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
//查人脸设备
|
query.addCriteria(Criteria.where("monitorType").regex(".*" + CheckConstants.Rule_Category_Face + ".*"));
|
//下拉框在线情况查询条件
|
if (params.getOption() != null) {
|
query.addCriteria(Criteria.where("online").is(params.getOption()));
|
}
|
Sort sort = Sort.by(
|
Sort.Order.asc("pingOnline"), // 首先按照 pingOnline 升序排序
|
Sort.Order.desc("offLineCount") // 首先按照 pingOnline 升序排序
|
);
|
// 通过pingOnline字段排序，为false的排在前面
|
query.with(sort);
|
//分页数量
|
long total = mongoTemplate.count(query, TMonitorResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<TMonitorResult> resultList = mongoTemplate.find(query, TMonitorResult.class);
|
resultList.forEach(item -> {
|
if (item.getPingOnline() == null) {
|
item.setPingOnlineStr("未知");
|
} else if (item.getPingOnline()) {
|
item.setPingOnlineStr("在线");
|
} else if (!item.getPingOnline()) {
|
item.setPingOnlineStr("离线");
|
}
|
if (1 == item.getOnline()) {
|
item.setOnlineStr("在线");
|
} else if (-1 == item.getOnline()) {
|
item.setOnlineStr("离线");
|
} else {
|
item.setOnlineStr("未知");
|
}
|
List<String> offLineTime = item.getOffLineTimeStr();
|
if (!CollectionUtils.isEmpty(offLineTime)) {
|
//后续可以改成配置的离线次数(提取前n次，n为配置的离线次数)
|
if (offLineTime.size() > 1) {
|
offLineTime = offLineTime.subList(0, 2);
|
}
|
item.setOffLineTimeStr(offLineTime);
|
}
|
//添加动态数据
|
List<DynamicColumnVO> list = dynamicColumnMapper.getDynamicColumnByTable(TableNameConstants.COLUMN_NAME_FACE_POINT,item.getNo());
|
item.setDynamicColumnList(list);
|
});
|
params.setDeptTag(-1);
|
params.setDeviceType(3);
|
|
// 统计设备数量
|
//卡片统计
|
int totalCount = 0;
|
int onlineCount = 0;
|
int offlineCount = 0;
|
int unknownCount = 0;
|
//构建条件
|
List<Criteria> criteriaList = new ArrayList<>();
|
// 添加固定条件
|
criteriaList.add(Criteria.where("monitorType").regex(".*" + CheckConstants.Rule_Category_Face + ".*"));
|
criteriaList.add(Criteria.where("mongoCreateTime").gte(params.getStartTime()).lte(params.getEndTime()));
|
// 根据dataType动态添加条件
|
if (params.getDataType() == 1) {
|
criteriaList.add(Criteria.where("provinceTag").is(Boolean.TRUE));
|
} else if (params.getDataType() == 2) {
|
criteriaList.add(Criteria.where("deptTag").is(Boolean.TRUE));
|
}
|
// 构建match操作
|
MatchOperation match = Aggregation.match(
|
new Criteria().andOperator(criteriaList.toArray(new Criteria[0]))
|
);
|
GroupOperation group = Aggregation.group()
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Online)).then(1).otherwise(0)).as("onlineCount")
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Offline)).then(1).otherwise(0)).as("offlineCount")
|
.sum(ConditionalOperators.when(Criteria.where("online").is(ApiConstants.UY_OnlineSite_Unknown)).then(1).otherwise(0)).as("unknownCount");
|
// 将匹配阶段和分组阶段组合起来
|
Aggregation aggregation = Aggregation.newAggregation(match, group);
|
// 执行聚合查询
|
AggregationResults<Map> results = mongoTemplate.aggregate(aggregation, "t_monitor_online", Map.class); // 替换为你的集合名称
|
for (Map<String, Object> result : results.getMappedResults()) {
|
offlineCount = (Integer) result.getOrDefault("offlineCount", 0L);
|
unknownCount = (Integer) result.getOrDefault("unknownCount", 0L);
|
onlineCount = (Integer) result.getOrDefault("onlineCount", 0L);
|
totalCount = offlineCount + unknownCount + onlineCount;
|
}
|
// List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
|
// .select(CheckIndexFace::getSiteOnline)
|
// .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexFace::getCreateTime, params.getStartTime(), params.getEndTime())
|
// .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));
|
// }
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (totalCount!=0) {
|
onlineRate = new BigDecimal(onlineCount).divide(new BigDecimal(totalCount), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", Arrays.asList(totalCount + "", onlineCount + "", offlineCount + "", unknownCount + "", this.remove0(onlineRate)));
|
map.put("list", resultList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 人脸：目录一致率
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result faceDirectoryConsistency(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("ip.showValue", "name.showValue", "serialNumber.showValue");
|
List<Criteria> andCriteria = MongoUtil.getAndCriteria(params, TIME_FIELD, likeFileds, null);
|
// 1/2/3 视频/车辆/人脸
|
Pattern pattern = Pattern.compile(".*3.*");
|
andCriteria.add(Criteria.where("sxjgnlx.value").regex(pattern));
|
Query query = new Query();
|
Criteria and = new Criteria();
|
if (params.getOption() != null) {
|
if (params.getOption() == 1) {
|
andCriteria.add(Criteria.where("newDevice").is(Boolean.TRUE));
|
} else if (params.getOption() == -1) {
|
andCriteria.add(Criteria.where("newDevice").is(Boolean.FALSE));
|
}
|
}
|
and.andOperator(andCriteria);
|
query = Query.query(and);
|
long total = mongoTemplate.count(query, MonitorQualifyResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<MonitorQualifyResult> resultList = mongoTemplate.find(query, MonitorQualifyResult.class);
|
List<MonitorQualifyResultVO> resultVOS = new ArrayList<>();
|
for (MonitorQualifyResult result : resultList) {
|
MonitorQualifyResultVO vo = MonitorQualifyResult.getVO(result);
|
resultVOS.add(vo);
|
}
|
// 统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("uy_monitor_qualify");
|
//总数
|
List<Document> dList1 = new ArrayList<>(2);
|
setTag(params, dList1);
|
dList1.add(new Document("sxjgnlx.value", new Document("$regex", ".*3.*")));
|
Document totalFilter = new Document("$and", dList1);
|
//新设备数
|
List<Document> dList2 = new ArrayList<>(2);
|
setTag(params, dList2);
|
dList2.add(new Document("sxjgnlx.value", new Document("$regex", ".*3.*")));
|
dList2.add(new Document("newDevice", Boolean.TRUE));
|
Document newFilter = new Document("$and", dList2);
|
|
List<Document> lists = Arrays.asList(totalFilter, newFilter);
|
List<String> rList = lists.stream().map(filter -> {
|
// 构建聚合管道
|
List<Document> pipeline = Arrays.asList(
|
new Document("$match", filter),
|
// $group 去重
|
new Document("$group", new Document("_id", "$serialNumber.showValue")),
|
new Document("$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());
|
|
// List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
|
// .select(CheckIndexFace::getDeviceDirectoryConsistent)
|
// .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexFace::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .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));
|
// }
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (!StringUtils.isEmpty(rList.get(0)) && !"0".equals(rList.get(0))) {
|
onlineRate = new BigDecimal(rList.get(0)).subtract(new BigDecimal(rList.get(1))).divide(new BigDecimal(rList.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
rList.add(this.remove0(onlineRate));
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", rList);
|
map.put("list", resultVOS);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 人脸：人脸卡口信息采集准确率
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result faceCollectionConsistency(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("externalIndexCode", "crossName");
|
List<Criteria> andCriteria = MongoUtil.getAndCriteria(params, TIME_FIELD, likeFileds, null);
|
Query query = new Query();
|
Criteria and = new Criteria();
|
and.andOperator(andCriteria);
|
query = Query.query(and);
|
if (params.getOption() != null) {
|
if (params.getOption() == 1) {
|
query.addCriteria(Criteria.where("lalType").is(ApiConstants.HK_Info_LayType_Normal));
|
query.addCriteria(Criteria.where("gbCodeType").is(ApiConstants.HK_Info_GbCodeType_Normal));
|
} else if (params.getOption() == -1) {
|
Criteria lalType = Criteria.where("lalType").ne(ApiConstants.HK_Info_LayType_Normal);
|
Criteria gbCodeType = Criteria.where("gbCodeType").ne(ApiConstants.HK_Info_GbCodeType_Normal);
|
Criteria orOperator = new Criteria().orOperator(lalType, gbCodeType);
|
orOperator.andOperator(andCriteria);
|
query = Query.query(orOperator);
|
}
|
}
|
|
long total = mongoTemplate.count(query, MonitoringDetailResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<MonitoringDetailResult> resultList = mongoTemplate.find(query, MonitoringDetailResult.class);
|
|
// 统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("hk_monitoring_detail");
|
|
List<Document> dList1 = new ArrayList<>(2);
|
setTag(params, dList1);
|
List<Document> dList2 = new ArrayList<>(2);
|
dList2.add(new Document("lalType", new Document("$eq", 1)));
|
dList2.add(new Document("gbCodeType", new Document("$eq", 1)));
|
setTag(params, dList2);
|
List<Document> dList3 = new ArrayList<>(2);
|
setTag(params, dList3);
|
List<Document> errorConditions = new ArrayList<>();
|
errorConditions.add(new Document("lalType", new Document("$ne", 1)));
|
errorConditions.add(new Document("gbCodeType", new Document("$ne", 1)));
|
Document errorDoc = new Document("$or", errorConditions);
|
dList3.add(errorDoc);
|
Document totalFilter = new Document("$and", dList1);
|
Document correctFilter = new Document("$and", dList2);
|
Document errorFilter = new Document("$and", dList3);
|
|
List<Document> lists = Arrays.asList(totalFilter, correctFilter, errorFilter);
|
List<String> rList = lists.stream().map(filter -> {
|
// 构建聚合管道
|
List<Document> pipeline = Arrays.asList(
|
new Document("$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());
|
|
// List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
|
// .select(CheckIndexFace::getFaceInformationCollectionAccuracy)
|
// .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexFace::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .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));
|
// }
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (!StringUtils.isEmpty(rList.get(0)) && !"0".equals(rList.get(0))) {
|
onlineRate = new BigDecimal(rList.get(1)).divide(new BigDecimal(rList.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
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);
|
}
|
|
/**
|
* 人脸：设备抓拍图片合格性
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result faceImgQualification(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("externalIndexCode", "cameraName");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
if (params.getOption() != null) {
|
if (params.getOption() == 1) {
|
query.addCriteria(Criteria.where("faceEligibility.unfaceEligCount").is(0));
|
} else if (params.getOption() == -1) {
|
query.addCriteria(Criteria.where("faceEligibility.unfaceEligCount").gt(0));
|
}
|
}
|
long total = mongoTemplate.count(query, FaceDeviceSamplingResult.class);
|
query.with(Sort.by(Sort.Order.desc("faceEligibility.unfaceEligCount")));
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<FaceDeviceSamplingResult> resultList = mongoTemplate.find(query, FaceDeviceSamplingResult.class);
|
List<BigPicUsefulVO> voList = new ArrayList<>();
|
resultList.forEach(item -> {
|
BigPicUsefulVO picVO = FaceDeviceSamplingResult.getEligeVO(item);
|
voList.add(picVO);
|
});
|
|
// 统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("hk_face_device_sampling");
|
// 构建基本的$match条件
|
List<Document> matchConditions = new ArrayList<>();
|
setTag(params, matchConditions);
|
List<Document> pipeline = Arrays.asList(
|
new Document("$match", new Document("$and", matchConditions)),
|
new Document("$group", new Document("_id", "$mongoCreateTime")
|
.append("sampleCount", new Document("$sum", "$faceEligibility.sampleCount"))
|
.append("expCount", new Document("$sum", "$faceEligibility.unfaceEligCount"))
|
));
|
// 执行聚合查询并获取结果
|
AggregateIterable<Document> result = collection.aggregate(pipeline);
|
int sampleCount = 0;
|
int expCount = 0;
|
for (Document doc : result) {
|
sampleCount = doc.getInteger("sampleCount");
|
expCount = doc.getInteger("expCount");
|
}
|
List<String> countList = new ArrayList<>();
|
|
// List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
|
// .select(CheckIndexFace::getFacePictureQualification)
|
// .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexFace::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .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));
|
// }
|
countList.add(sampleCount + "");
|
countList.add(expCount + "");
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (sampleCount!=0) {
|
onlineRate = new BigDecimal(sampleCount-expCount).divide(new BigDecimal(sampleCount), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
countList.add(this.remove0(onlineRate));
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", countList);
|
map.put("list", voList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 人脸：设备抓拍图片时钟准确性
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result faceCapturesImagesAccuracy(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
if (params.getOption() != null) {
|
//当日时钟异常
|
if (params.getOption() == 1) {
|
query.addCriteria(Criteria.where("majorDiffCount").gt(0));
|
} else if (params.getOption() == -1) {
|
//全部时钟异常
|
query.addCriteria(Criteria.where("importantDiffCount").gt(0));
|
}
|
}
|
long total = mongoTemplate.count(query, FaceDeviceInspectionResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<FaceDeviceInspectionResult> resultList = mongoTemplate.find(query, FaceDeviceInspectionResult.class);
|
List<SnapClockVO> resultVos = new ArrayList<>();
|
resultList.forEach(item -> {
|
SnapClockVO vo = FaceDeviceInspectionResult.getVO(item);
|
resultVos.add(vo);
|
});
|
|
// 统计数量
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("hk_face_device_inspection");
|
|
List<Document> dList1 = new ArrayList<>(2);
|
dList1.add(new Document("snapClock.todayClockResult", new Document("$eq", 1)));
|
setTag(params, dList1);
|
List<Document> dList2 = new ArrayList<>(2);
|
dList2.add(new Document("snapClock.todayClockResult", new Document("$eq", 0)));
|
setTag(params, dList2);
|
List<Document> dList3 = new ArrayList<>(2);
|
dList3.add(new Document("snapClock.allClockResult", new Document("$eq", 1)));
|
setTag(params, dList3);
|
List<Document> dList4 = new ArrayList<>(2);
|
dList4.add(new Document("snapClock.allClockResult", new Document("$eq", 0)));
|
setTag(params, dList4);
|
Document todayFilter = new Document("$and", dList1);
|
Document todayErrFilter = new Document("$and", dList2);
|
Document allFilter = new Document("$and", dList3);
|
Document allErrFilter = new Document("$and", dList4);
|
|
|
List<Document> lists = Arrays.asList(todayFilter, todayErrFilter, allFilter, allErrFilter);
|
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());
|
|
// List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
|
// .select(CheckIndexFace::getFaceTimingAccuracy)
|
// .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexFace::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .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));
|
// }
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
BigDecimal normal = new BigDecimal(rList.get(0));
|
BigDecimal abnormal = new BigDecimal(rList.get(1));
|
BigDecimal totalCount = normal.add(abnormal);
|
if (totalCount.compareTo(BigDecimal.ZERO)>0) {
|
onlineRate = normal.divide(totalCount, 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
rList.add(this.remove0(onlineRate));
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", rList);
|
map.put("list", resultVos);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 人脸：抓拍人脸数据上传及时性
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result faceTimelyUpload(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
query.addCriteria(Criteria.where("dataType").is(ApiConstants.HK_DataType_FACE));
|
if (params.getOption() != null) {
|
//正常
|
if (params.getOption() == 1) {
|
query.addCriteria(Criteria.where("delayCount").is(0));
|
} else if (params.getOption() == -1) {
|
//延迟
|
query.addCriteria(Criteria.where("delayCount").gt(0));
|
}
|
}
|
long total = mongoTemplate.count(query, SnapshotDelayMonitorResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
List<SnapshotDelayMonitorResult> resultList = mongoTemplate.find(query, SnapshotDelayMonitorResult.class);
|
// 统计数
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("hk_snapshop_delay_monitor");
|
|
List<Document> dList1 = new ArrayList<>(2);
|
setTag(params, dList1);
|
dList1.add(new Document("dataType", new Document("$eq", ApiConstants.HK_DataType_FACE)));
|
Document allFilter = new Document("$and", dList1);
|
List<Document> dList2 = new ArrayList<>(2);
|
dList2.add(new Document("dataType", new Document("$eq", ApiConstants.HK_DataType_FACE)));
|
dList2.add(new Document("delayCount", new Document("$gt", 0)));
|
setTag(params, dList2);
|
Document delayFilter = new Document("$and", dList2);
|
|
List<Document> lists = Arrays.asList(allFilter, delayFilter);
|
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());
|
|
|
// List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
|
// .select(CheckIndexFace::getFaceUploadTimeliness)
|
// .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexFace::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .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));
|
// }
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (!StringUtils.isEmpty(rList.get(0)) && !"0".equals(rList.get(0))) {
|
onlineRate = new BigDecimal(rList.get(0)).subtract(new BigDecimal(rList.get(1))).divide(new BigDecimal(rList.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
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);
|
}
|
|
/**
|
* 人脸：人脸卡口设备抓拍数据大图可用性
|
*
|
* @param params
|
* @return
|
*/
|
@Override
|
public Result faceAvailabilityOfLargeImg(DataCenterQuery params) {
|
List<String> likeFileds = Arrays.asList("externalIndexCode", "deviceName");
|
Query query = MongoUtil.getQuery(params, TIME_FIELD, likeFileds, null);
|
if (params.getOption() != null) {
|
if (params.getOption() == 1) {
|
query.addCriteria(Criteria.where("bigUseful.bigPicExpCount").is(0));
|
} else if (params.getOption() == -1) {
|
query.addCriteria(Criteria.where("bigUseful.bigPicExpCount").gt(0));
|
}
|
}
|
long total = mongoTemplate.count(query, FaceDeviceSamplingResult.class);
|
MongoUtil.setPage(query, params, TIME_FIELD);
|
query.with(Sort.by(Sort.Order.desc("bigUseful.bigPicExpCount")));
|
List<FaceDeviceSamplingResult> resultList = mongoTemplate.find(query, FaceDeviceSamplingResult.class);
|
List<BigPicUsefulVO> voList = new ArrayList<>();
|
resultList.forEach(item -> {
|
BigPicUsefulVO picVO = FaceDeviceSamplingResult.getPicVO(item);
|
voList.add(picVO);
|
});
|
// 统计数
|
MongoDatabase database = mongoTemplate.getDb();
|
MongoCollection<Document> collection = database.getCollection("hk_face_device_sampling");
|
// 构建基本的$match条件
|
List<Document> matchConditions = new ArrayList<>();
|
setTag(params, matchConditions);
|
List<Document> pipeline = Arrays.asList(
|
new Document("$match", new Document("$and", matchConditions)),
|
new Document("$group", new Document("_id", "$mongoCreateTime")
|
.append("sampleCount", new Document("$sum", "$bigUseful.sampleCount"))
|
.append("expCount", new Document("$sum", "$bigUseful.bigPicExpCount"))
|
));
|
// 执行聚合查询并获取结果
|
AggregateIterable<Document> result = collection.aggregate(pipeline);
|
int sampleCount = 0;
|
int expCount = 0;
|
for (Document doc : result) {
|
sampleCount = doc.getInteger("sampleCount");
|
expCount = doc.getInteger("expCount");
|
}
|
|
|
//新构建聚合查询离线时间
|
|
List<String> countList = new ArrayList<>();
|
|
// 统计数
|
// List<CheckIndexFace> videoList = new LambdaQueryChainWrapper<>(checkIndexFaceService.getBaseMapper())
|
// .select(CheckIndexFace::getFacePictureAvailability)
|
// .eq(params.getDataType().equals(1), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Province)
|
// .eq(params.getDataType().equals(2), CheckIndexFace::getExamineTag, CheckConstants.Examine_Tag_Dept)
|
// .between(CheckIndexFace::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
|
// .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));
|
// }
|
countList.add(sampleCount + "");
|
countList.add(expCount + "");
|
BigDecimal onlineRate = BigDecimal.ZERO;
|
if (sampleCount!=0) {
|
onlineRate = new BigDecimal(sampleCount-expCount).divide(new BigDecimal(sampleCount), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
|
}
|
countList.add(this.remove0(onlineRate));
|
|
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", countList);
|
map.put("list", voList);
|
return Result.ok().data(map).total(total);
|
}
|
|
/**
|
* 视频：视频图像资源安全管理
|
*
|
* @param query
|
* @return
|
*/
|
@Override
|
public Result videoImageResourceSecurity(DataCenterQuery query) {
|
Page<ImageResourceSecurityDetail> page = PageHelper.startPage(query.getPageNum(), query.getPageSize());
|
securityDetailMapper.selectImageResourceSecurityDetailList(query);
|
|
// 统计数
|
HashMap<String, Object> map = new HashMap<>();
|
map.put("count", CollectionUtils.EMPTY_COLLECTION);
|
map.put("list", page);
|
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) + "%";
|
}
|
|
/**
|
* 设置标签搜索条件
|
*
|
* @param params
|
* @param dList
|
*/
|
private void setTag(DataCenterQuery params, List<Document> dList) {
|
if (params.getDataType().equals(1)) {
|
dList.add(new Document("provinceTag", new Document("$eq", Boolean.TRUE)));
|
} else if (params.getDataType().equals(2)) {
|
dList.add(new Document("deptTag", new Document("$eq", Boolean.TRUE)));
|
}
|
Document mongoCreateTimeRange = new Document();
|
if (params.getStartTime() != null) mongoCreateTimeRange.append("$gte", params.getStartTime());
|
if (params.getEndTime() != null) mongoCreateTimeRange.append("$lt", params.getEndTime());
|
dList.add(new Document("mongoCreateTime", mongoCreateTimeRange));
|
}
|
}
|
