报错日志添加

zxl

2025-06-05 29d3c47cc6c903c09b386649fabaebc81cbeca27

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

@@ -1,7 +1,7 @@
package com.ycl.platform.service.impl;

import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.baomidou.mybatisplus.core.metadata.IPage;
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;
@@ -9,7 +9,7 @@
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import com.ycl.platform.domain.entity.*;
import com.ycl.platform.domain.excel.TMonitorExp;
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;
@@ -17,23 +17,24 @@
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.PointDetailVO;
import com.ycl.platform.domain.vo.home.HomeFaceVO;
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.page.PageUtil;
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.ApiConstants;
import constant.CheckConstants;
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;
@@ -41,9 +42,9 @@
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.data.mongodb.core.query.TextCriteria;
import org.springframework.stereotype.Service;

import java.io.IOException;
import java.math.BigDecimal;
import java.math.RoundingMode;
import java.text.DecimalFormat;
@@ -60,19 +61,578 @@
 */
@Service
@RequiredArgsConstructor
@Slf4j
public class DataCenterServiceImpl implements DataCenterService {

    private final MongoTemplate mongoTemplate;
    private final ImageResourceSecurityDetailMapper securityDetailMapper;
    private final YwPointMapper pointMapper;
    private final ICheckIndexVideoService checkIndexVideoService;
    private final ICheckIndexCarService checkIndexCarService;
    private final ICheckIndexFaceService checkIndexFaceService;
    private final DynamicColumnMapper dynamicColumnMapper;



    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
@@ -100,6 +660,7 @@
        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");
@@ -122,7 +683,12 @@
                }
                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);

@@ -791,6 +1357,23 @@
        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
     *
@@ -799,28 +1382,44 @@
     */
    @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
@@ -839,19 +1438,36 @@
            }
            return uniqueDeviceIdCount + "";
        }).collect(Collectors.toList());
//        List<CheckIndexVideo> videoList = new LambdaQueryChainWrapper<>(checkIndexVideoService.getBaseMapper())
//                .select(CheckIndexVideo::getVideoAvailable)
//                .eq(params.getDataType().equals(1), CheckIndexVideo::getExamineTag, CheckConstants.Examine_Tag_Province)
//                .eq(params.getDataType().equals(2), CheckIndexVideo::getExamineTag, CheckConstants.Examine_Tag_Dept)
//                .between(CheckIndexVideo::getCreateTime, DateUtils.getDayStart(params.getStartTime()), DateUtils.getDayEnd(params.getEndTime()))
//                .list();
//        BigDecimal onlineRate = BigDecimal.ZERO;
//        if (CollectionUtils.isNotEmpty(videoList)) {
//            BigDecimal sum = videoList.stream().map(CheckIndexVideo::getVideoAvailable).reduce(BigDecimal.ZERO, BigDecimal::add);
//            BigDecimal count = BigDecimal.valueOf(videoList.size());
//            onlineRate = sum.divide(count, 4, RoundingMode.HALF_UP).multiply(BigDecimal.valueOf(100));
//        }
        //加一个总数

        //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);
@@ -859,8 +1475,10 @@
        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))) {
            onlineRate = new BigDecimal(resultCount.get(1)).divide(new BigDecimal(resultCount.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
            //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));

@@ -920,6 +1538,35 @@
            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)
@@ -940,7 +1587,7 @@
        resultCount.add(0, totalCount + "");
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (!StringUtils.isEmpty(resultCount.get(0)) && !"0".equals(resultCount.get(0))) {
            onlineRate = new BigDecimal(resultCount.get(1)).divide(new BigDecimal(resultCount.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
            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<>();
@@ -999,6 +1646,32 @@
            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)
@@ -1019,7 +1692,7 @@
        resultCount.add(0, totalCount + "");
        BigDecimal onlineRate = BigDecimal.ZERO;
        if (!StringUtils.isEmpty(resultCount.get(0)) && !"0".equals(resultCount.get(0))) {
            onlineRate = new BigDecimal(resultCount.get(1)).divide(new BigDecimal(resultCount.get(0)), 3,RoundingMode.DOWN).multiply(new BigDecimal("100"));
            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<>();
@@ -1563,6 +2236,9 @@
                }
                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
@@ -2434,6 +3110,9 @@
                }
                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);
@@ -2973,6 +3652,10 @@
            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
@@ -2995,6 +3678,8 @@
            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);