代码调整

This commit is contained in:
2022-12-13 09:31:58 +08:00
parent d043ab478b
commit 730c08098b
9 changed files with 0 additions and 578 deletions

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package com.njcn.device.pq.controller;
import com.njcn.common.pojo.annotation.OperateInfo;
import com.njcn.common.pojo.enums.common.LogEnum;
import com.njcn.common.pojo.enums.response.CommonResponseEnum;
import com.njcn.common.pojo.response.HttpResult;
import com.njcn.common.utils.HttpResultUtil;
import com.njcn.device.pq.pojo.param.AlgorithmSearchParam;
import com.njcn.device.pq.service.DataExceptionService;
import com.njcn.web.controller.BaseController;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiImplicitParam;
import io.swagger.annotations.ApiOperation;
import lombok.AllArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.validation.annotation.Validated;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
/**
* @author qijian
* @date 2022/10/26
* 数据是否异常
*/
@Validated
@Slf4j
@RestController
@RequestMapping("/dataException")
@Api(tags = "数据是否异常")
@AllArgsConstructor
public class DataExceptionController extends BaseController {
private final DataExceptionService dataExceptionService;
@OperateInfo(info = LogEnum.BUSINESS_COMMON)
@PostMapping("/lineDataException")
@ApiOperation("监测点数据是否异常")
@ApiImplicitParam(name = "algorithmSearchParam", value = "算法通用查询参数", required = true)
public HttpResult<Boolean> lineDataException(@RequestBody @Validated AlgorithmSearchParam algorithmSearchParam) {
String methodDescribe = getMethodDescribe("lineDataException");
boolean res = dataExceptionService.lineDataException(algorithmSearchParam);
if(res){
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe);
}else {
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.FAIL, null, methodDescribe);
}
}
}

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package com.njcn.device.pq.controller;
import com.njcn.common.pojo.annotation.OperateInfo;
import com.njcn.common.pojo.enums.common.LogEnum;
import com.njcn.common.pojo.enums.response.CommonResponseEnum;
import com.njcn.common.pojo.response.HttpResult;
import com.njcn.common.utils.HttpResultUtil;
import com.njcn.device.pq.pojo.param.AlgorithmSearchParam;
import com.njcn.device.pq.service.DataIntegrityRateService;
import com.njcn.web.controller.BaseController;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiImplicitParam;
import io.swagger.annotations.ApiOperation;
import lombok.AllArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.validation.annotation.Validated;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
/**
* @author qijian
* @date 2022/10/26
* 数据完整率算法
*/
@Validated
@Slf4j
@RestController
@RequestMapping("/dataIntegrityRate")
@Api(tags = "数据完整率算法")
@AllArgsConstructor
public class DataIntegrityRateController extends BaseController {
private final DataIntegrityRateService dataIntegrityRateService;
@OperateInfo(info = LogEnum.BUSINESS_COMMON)
@PostMapping("/lineDataIntegrityRate")
@ApiOperation("监测点日数据完整率")
@ApiImplicitParam(name = "algorithmSearchParam", value = "算法通用查询参数", required = true)
public HttpResult<Boolean> lineDataIntegrityRate(@RequestBody @Validated AlgorithmSearchParam algorithmSearchParam) {
String methodDescribe = getMethodDescribe("lineDataIntegrityRate");
boolean res = dataIntegrityRateService.lineDataIntegrityRate(algorithmSearchParam);
if(res){
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe);
}else {
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.FAIL, null, methodDescribe);
}
}
}

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package com.njcn.device.pq.mapper;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import com.njcn.device.pq.pojo.po.PmsAbnormalRules;
/**
* PmsAbnormalRulesMapper
*
* @author qijian
* @date 2022/10/26
*/
public interface PmsAbnormalRulesMapper extends BaseMapper<PmsAbnormalRules> {
}

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package com.njcn.device.pq.mapper;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import com.njcn.device.pq.pojo.po.RMpIntegrityD;
/**
* RMpIntegrityDMapper
*
* @author qijian
* @date 2022/10/26
*/
public interface RMpIntegrityDMapper extends BaseMapper<RMpIntegrityD> {
}

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package com.njcn.device.pq.mapper;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import com.njcn.device.pq.pojo.po.RStatAbnormalD;
/**
* RStatAbnormalDMapper
*
* @author qijian
* @date 2022/10/26
*/
public interface RStatAbnormalDMapper extends BaseMapper<RStatAbnormalD> {
}

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package com.njcn.device.pq.service;
import com.njcn.device.pq.pojo.param.AlgorithmSearchParam;
/**
* 数据是否异常
*
* @author qijian
* @version 1.0.0
* @createTime 2022/10/26 - 10:09
*/
public interface DataExceptionService {
/**
* 监测点数据是否异常
* @author qijian
* @date 2022/10/26
*/
boolean lineDataException(AlgorithmSearchParam algorithmSearchParam);
}

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package com.njcn.device.pq.service;
import com.njcn.device.pq.pojo.param.AlgorithmSearchParam;
/**
* 数据完整率算法
*
* @author qijian
* @version 1.0.0
* @createTime 2022/10/26 - 10:09
*/
public interface DataIntegrityRateService {
/**
* 监测点日数据完整率
* @author qijian
* @date 2022/10/26
*/
boolean lineDataIntegrityRate(AlgorithmSearchParam algorithmSearchParam);
}

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package com.njcn.device.pq.service.impl;
import cn.hutool.core.date.DateTime;
import cn.hutool.core.date.DateUtil;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.njcn.common.pojo.exception.BusinessException;
import com.njcn.device.pq.api.LineFeignClient;
import com.njcn.device.pq.pojo.vo.LineDetailDataVO;
import com.njcn.device.pq.service.DataExceptionService;
import com.njcn.influxdb.config.InfluxDbConfig;
import com.njcn.influxdb.param.InfluxDBPublicParam;
import com.njcn.influxdb.param.InfluxDBSqlConstant;
import com.njcn.influxdb.param.InfluxDBTableConstant;
import com.njcn.influxdb.utils.InfluxDbUtils;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.influxdb.dto.QueryResult;
import org.influxdb.impl.InfluxDBResultMapper;
import org.springframework.stereotype.Service;
import com.njcn.device.pq.constant.Param;
import com.njcn.device.pq.enums.DeviceResponseEnum;
import com.njcn.device.pq.mapper.PmsAbnormalRulesMapper;
import com.njcn.device.pq.mapper.RStatAbnormalDMapper;
import com.njcn.device.pq.pojo.param.AlgorithmSearchParam;
import com.njcn.device.pq.pojo.po.DataV;
import com.njcn.device.pq.pojo.po.PmsAbnormalRules;
import com.njcn.device.pq.pojo.po.RStatAbnormalD;
import javax.annotation.Resource;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import java.util.Objects;
/**
* 数据是否异常
*
* @author qijian
* @version 1.0.0
* @createTime 2022/10/26 - 10:09
*/
@Service
@RequiredArgsConstructor
@Slf4j
public class DataExceptionServiceImpl implements DataExceptionService {
private final InfluxDbUtils influxDbUtils;
private final LineFeignClient lineFeignClient;
private final PmsAbnormalRulesMapper pmsAbnormalRulesMapper;
private final RStatAbnormalDMapper rStatAbnormalDMapper;
@Resource
private InfluxDbConfig influxDbConfig;
/**
* 监测点数据是否异常
* @author qijian
* @date 2022/10/26
*/
@Override
public boolean lineDataException(AlgorithmSearchParam algorithmSearchParam) {
//测试
// InfluxDbUtils influxDBUtil = new InfluxDbUtils("admin", "njcnpqs", "http://192.168.1.18:8086", "pqsbase", "");
//初始化
InfluxDBResultMapper resultMapper = new InfluxDBResultMapper();
String searchSql;
String sql;
QueryResult query;
DataV dataV;
Date date = DateUtil.parse(algorithmSearchParam.getDatadate());
String lineId = algorithmSearchParam.getId();
Integer type = algorithmSearchParam.getType();
//入库数据初始化
RStatAbnormalD rStatAbnormalD = new RStatAbnormalD();
rStatAbnormalD.setDataDate(date);
rStatAbnormalD.setMeasurementPointId(lineId);
rStatAbnormalD.setValueAlarm(0);
//1、取出规则
List<PmsAbnormalRules> pmsAbnormalRules = pmsAbnormalRulesMapper.selectList(null);
//2、取出电压
List<String> lineIds = new ArrayList<>();
lineIds.add(lineId);
List<LineDetailDataVO> lineDetailList = lineFeignClient.getLineDetailList(lineIds).getData();
if (lineDetailList.size() == 0){
throw new BusinessException(DeviceResponseEnum.ALGORITHM_LINE_EMPTY);
}
String scale = lineDetailList.get(0).getScale().replace("kV","");
//3、根据规则表进行判断
//取前四项进行比较相别为A
searchSql = "MAX(freq) as freq_max,MIN(freq) as freq_min,MAX(rms) as rms_max,MIN(rms) as rms_min,MAX(rms_lvr) as rms_lvr_max,MIN(rms_lvr) as rms_lvr_min,MAX(v_thd) as v_thd_max,MIN(v_thd) as v_thd_min ";
sql = getAppend(lineId, date, type, searchSql, "A");
query = influxDbUtils.query(sql);
dataV = resultMapper.toPOJO(query, DataV.class).get(0);
//开始判断业务
DeviceResponseEnum harmonicResponseEnum = null;
for (PmsAbnormalRules pmsAbnormalRule : pmsAbnormalRules) {
//每项数据进行上下限比较MAX和MIN若有一项不在数据范围内则为异常
switch (pmsAbnormalRule.getTarget()) {
case Param.TARGET_FREQ:
//频率:正常比较
if (dataV.getFrepMIN() < pmsAbnormalRule.getLowerLimit() || dataV.getFrepMAX() > pmsAbnormalRule.getUpperLimit()){
harmonicResponseEnum = DeviceResponseEnum.ALGORITHM_FREP_RULE;
}
break;
case Param.TARGET_RMS:
//相电压有效值特殊处理在【0.85p.u.1.2p.u.】之间p.u=电压等级/1.732
pmsAbnormalRule.setLowerLimit((pmsAbnormalRule.getLowerLimit() * (Double.parseDouble(scale) / 1.732)));
pmsAbnormalRule.setUpperLimit((pmsAbnormalRule.getUpperLimit() * (Double.parseDouble(scale) / 1.732)));
if (dataV.getRmsMIN() < pmsAbnormalRule.getLowerLimit() || dataV.getRmsMAX() > pmsAbnormalRule.getUpperLimit()){
harmonicResponseEnum = DeviceResponseEnum.ALGORITHM_RMS_RULE;
}
break;
case Param.TARGET_RMS_LVR:
//线电压有效值特殊处理在【0.85p.u.1.2p.u.】之间p.u=电压等级
pmsAbnormalRule.setLowerLimit((pmsAbnormalRule.getLowerLimit() * Double.parseDouble(scale)));
pmsAbnormalRule.setUpperLimit((pmsAbnormalRule.getUpperLimit() * Double.parseDouble(scale)));
if (dataV.getRmsLvrMIN() < pmsAbnormalRule.getLowerLimit() || dataV.getRmsLvrMAX() > pmsAbnormalRule.getUpperLimit()){
harmonicResponseEnum = DeviceResponseEnum.ALGORITHM_RMS_LVR_RULE;
}
break;
case Param.TARGET_V_THD:
//电压总谐波畸变率:正常比较
if (dataV.getVThdMIN() < pmsAbnormalRule.getLowerLimit() || dataV.getVThdMAX() > pmsAbnormalRule.getUpperLimit()){
harmonicResponseEnum = DeviceResponseEnum.ALGORITHM_V_THD_RULE;
}
break;
case Param.TARGET_V_UNBALANCE:
//三相不平衡度正常比较相别为T
searchSql = "MAX(v_unbalance) as v_unbalance_max,MIN(v_unbalance) as v_unbalance_min ";
sql = getAppend(lineId, date,type, searchSql, "T");
query = influxDbUtils.query(sql);
dataV = resultMapper.toPOJO(query, DataV.class).get(0);
if (dataV.getVUnbalanceMIN() < pmsAbnormalRule.getLowerLimit() || dataV.getVUnbalanceMAX() > pmsAbnormalRule.getUpperLimit()){
harmonicResponseEnum = DeviceResponseEnum.ALGORITHM_V_UNBALANCE_RULE;
}
break;
default:
break;
}
if (harmonicResponseEnum != null){
//入库
LambdaQueryWrapper<RStatAbnormalD> lambdaQueryWrapper = new LambdaQueryWrapper<>();
lambdaQueryWrapper.eq(RStatAbnormalD::getMeasurementPointId, lineId).eq(RStatAbnormalD::getDataDate, date);
RStatAbnormalD rStatAbnormalDOne = rStatAbnormalDMapper.selectOne(lambdaQueryWrapper);
if (Objects.isNull(rStatAbnormalDOne)){
rStatAbnormalDMapper.insert(rStatAbnormalD);
}
throw new BusinessException(harmonicResponseEnum);
}
}
return true;
}
/**
* 拼装sql
* @param id,date,searchSql,tableName 参数
* @return 结果
*/
private String getAppend(String id, Date date, Integer type, String searchSql,String phase) {
StringBuilder stringBuilder = new StringBuilder();
//日期处理
DateTime startTime = null;
DateTime endTime = null;
if (Param.YEAR.equals(type)){
startTime = DateUtil.beginOfYear(date);
endTime = DateUtil.endOfYear(date);
}else if(Param.MONTH.equals(type)){
startTime = DateUtil.beginOfMonth(date);
endTime = DateUtil.endOfMonth(date);
}else if(Param.DAY.equals(type)){
startTime = DateUtil.beginOfDay(date);
endTime = DateUtil.endOfDay(date);
}
//拼接
stringBuilder.append(InfluxDBSqlConstant.SELECT).append(searchSql)
.append(InfluxDBSqlConstant.FROM).append(InfluxDBPublicParam.DATA_V)
.append(InfluxDBSqlConstant.WHERE).append(InfluxDBPublicParam.TIME).append(InfluxDBSqlConstant.GE).append(InfluxDBSqlConstant.QM).append(startTime).append(InfluxDBSqlConstant.QM)
.append(InfluxDBSqlConstant.AND).append(InfluxDBPublicParam.TIME).append(InfluxDBSqlConstant.LE).append(InfluxDBSqlConstant.QM).append(endTime).append(InfluxDBSqlConstant.QM)
.append(InfluxDBSqlConstant.AND).append(InfluxDBPublicParam.LINE_ID).append(InfluxDBSqlConstant.EQ).append(InfluxDBSqlConstant.QM).append(id).append(InfluxDBSqlConstant.QM)
.append(InfluxDBSqlConstant.AND).append(InfluxDBPublicParam.VALUE_TYPE).append(InfluxDBSqlConstant.EQ).append(InfluxDBSqlConstant.QM).append(InfluxDBTableConstant.AVG).append(InfluxDBSqlConstant.QM);
if (InfluxDBTableConstant.PHASE_TYPE_T.equals(phase)){
stringBuilder.append(InfluxDBSqlConstant.AND).append(InfluxDBPublicParam.PHASIC_TYPE).append(InfluxDBSqlConstant.EQ).append(InfluxDBSqlConstant.QM).append(InfluxDBTableConstant.PHASE_TYPE_T).append(InfluxDBSqlConstant.QM);
}else{
stringBuilder.append(InfluxDBSqlConstant.AND).append(InfluxDBPublicParam.PHASIC_TYPE).append(InfluxDBSqlConstant.EQ).append(InfluxDBSqlConstant.QM).append(InfluxDBTableConstant.PHASE_TYPE_A).append(InfluxDBSqlConstant.QM);
}
return stringBuilder.toString();
}
}

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package com.njcn.device.pq.service.impl;
import cn.hutool.core.date.DateUtil;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.njcn.common.pojo.exception.BusinessException;
import com.njcn.device.pq.api.LineFeignClient;
import com.njcn.device.pq.mapper.RMpIntegrityDMapper;
import com.njcn.device.pq.pojo.vo.LineDetailDataVO;
import com.njcn.influxdb.config.InfluxDbConfig;
import com.njcn.influxdb.param.InfluxDBPublicParam;
import com.njcn.influxdb.param.InfluxDBSqlConstant;
import com.njcn.influxdb.param.InfluxDBTableConstant;
import com.njcn.influxdb.utils.InfluxDbUtils;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.influxdb.dto.QueryResult;
import org.springframework.stereotype.Service;
import com.njcn.device.pq.enums.DeviceResponseEnum;
import com.njcn.device.pq.pojo.param.AlgorithmSearchParam;
import com.njcn.device.pq.pojo.po.RMpIntegrityD;
import com.njcn.device.pq.service.DataIntegrityRateService;
import javax.annotation.Resource;
import java.text.DecimalFormat;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import java.util.Objects;
/**
* 数据完整率算法
*
* @author qijian
* @version 1.0.0
* @createTime 2022/10/26 - 10:09
*/
@Service
@RequiredArgsConstructor
@Slf4j
public class DataIntegrityRateServiceImpl implements DataIntegrityRateService {
private final InfluxDbUtils influxDbUtils;
private final RMpIntegrityDMapper rMpIntegrityDMapper;
private final LineFeignClient lineFeignClient;
@Resource
private InfluxDbConfig influxDbConfig;
/**
* 监测点日数据完整率
* @author qijian
* @date 2022/10/26
*/
@Override
public boolean lineDataIntegrityRate(AlgorithmSearchParam algorithmSearchParam) {
//测试
// InfluxDbUtils influxDBUtil = new InfluxDbUtils("admin", "njcnpqs", "http://192.168.1.18:8086", "pqsbase", "");
//初始化
String searchSql;
String tableName;
String sql;
QueryResult query;
QueryResult.Series series;
List<String> columns;
List<List<Object>> values;
RMpIntegrityD rMpIntegrityD = new RMpIntegrityD();
Date date = DateUtil.parse(algorithmSearchParam.getDatadate());
//1、有效接入分钟数量根据监测点编号获取统计间隔1440 / 统计间隔 = 有效接入分钟数量
List<String> lineIds = new ArrayList<>();
lineIds.add(algorithmSearchParam.getId());
List<LineDetailDataVO> lineDetailList = lineFeignClient.getLineDetailList(lineIds).getData();
if (lineDetailList.size() == 0){
throw new BusinessException(DeviceResponseEnum.ALGORITHM_LINE_EMPTY);
}
Integer effectiveMinuteCount = 1440 / lineDetailList.get(0).getTimeInterval();
rMpIntegrityD.setEffectiveMinuteCount(effectiveMinuteCount);
//2、根据data_v表获取五项稳态指标日数量count
searchSql = "count(freq) as freqCount,count(rms) as phaseVoltageCount,count(rms_lvr) as lineVoltageCount,count(v_thd) as vThdCount,count(v_unbalance) as unbalanceCount ";
tableName = InfluxDBPublicParam.DATA_V;
sql = getAppend(algorithmSearchParam.getId(), date, searchSql, tableName);
query = influxDbUtils.query(sql);
series = getSeries(query);
if (Objects.nonNull(series.getColumns())){
columns = series.getColumns();
values = series.getValues();
for (List<Object> columnValue : values) {
for (int i = 0; i < columnValue.size(); i++) {
if (columns.get(i).equals("freqCount")) {
rMpIntegrityD.setFreqCount(Integer.parseInt(convertDoubleToString(columnValue.get(i))));
}else if (columns.get(i).equals("phaseVoltageCount")) {
rMpIntegrityD.setPhaseVoltageCount(Integer.parseInt(convertDoubleToString(columnValue.get(i))));
}else if (columns.get(i).equals("lineVoltageCount")) {
rMpIntegrityD.setLineVoltageCount(Integer.parseInt(convertDoubleToString(columnValue.get(i))));
}else if (columns.get(i).equals("vThdCount")) {
rMpIntegrityD.setVThdCount(Integer.parseInt(convertDoubleToString(columnValue.get(i))));
}else if (columns.get(i).equals("unbalanceCount")) {
rMpIntegrityD.setUnbalanceCount(Integer.parseInt(convertDoubleToString(columnValue.get(i))));
}
}
}
}
//3、根据day_flicker表获取两项闪变指标数量count
searchSql = "count(pst) as pstCount,count(plt) as pltCount ";
tableName = InfluxDBPublicParam.DATA_FLICKER;
sql = getAppend(algorithmSearchParam.getId(), date, searchSql, tableName);
query = influxDbUtils.query(sql);
series = getSeries(query);
if (Objects.nonNull(series.getColumns())){
columns = series.getColumns();
values = series.getValues();
for (List<Object> columnValue : values) {
for (int i = 0; i < columnValue.size(); i++) {
if (columns.get(i).equals("pstCount")) {
rMpIntegrityD.setPstCount(Integer.parseInt(convertDoubleToString(columnValue.get(i))));
}else if (columns.get(i).equals("pltCount")) {
rMpIntegrityD.setPltCount(Integer.parseInt(convertDoubleToString(columnValue.get(i))));
}
}
}
}
//4、存库
LambdaQueryWrapper<RMpIntegrityD> lambdaQueryWrapper = new LambdaQueryWrapper<>();
lambdaQueryWrapper.eq(RMpIntegrityD::getMeasurementPointId, algorithmSearchParam.getId()).eq(RMpIntegrityD::getDataDate, date);
RMpIntegrityD rMpIntegrityDOne = rMpIntegrityDMapper.selectOne(lambdaQueryWrapper);
if (Objects.nonNull(rMpIntegrityDOne)){
rMpIntegrityDMapper.update(rMpIntegrityD,lambdaQueryWrapper);
}else{
rMpIntegrityD.setMeasurementPointId(algorithmSearchParam.getId());
rMpIntegrityD.setDataDate(date);
rMpIntegrityDMapper.insert(rMpIntegrityD);
}
return true;
}
/**
* Double转String
* @param val 参数
* @return 结果
*/
private String convertDoubleToString(Object val) {
DecimalFormat decimalFormat = new DecimalFormat("###################.###########");
return decimalFormat.format(val);
}
/**
* 取series
* @param query 参数
* @return 结果
*/
private QueryResult.Series getSeries(QueryResult query) {
QueryResult.Series series = new QueryResult.Series();
List<QueryResult.Result> results = query.getResults();
if (results.size() != 0) {
QueryResult.Result result = results.get(0);
if (result.getSeries() != null){
List<QueryResult.Series> seriess = result.getSeries();
if (seriess.size() != 0) {
series = seriess.get(0);
}
}
}
return series;
}
/**
* 拼装sql
* @param id,date,searchSql,tableName 参数
* @return 结果
*/
private String getAppend(String id, Date date, String searchSql,String tableName) {
StringBuilder stringBuilder = new StringBuilder();
stringBuilder.append(InfluxDBSqlConstant.SELECT).append(searchSql)
.append(InfluxDBSqlConstant.FROM).append(tableName)
.append(InfluxDBSqlConstant.WHERE).append(InfluxDBPublicParam.TIME).append(InfluxDBSqlConstant.GE).append(InfluxDBSqlConstant.QM).append(DateUtil.beginOfDay(date)).append(InfluxDBSqlConstant.QM)
.append(InfluxDBSqlConstant.AND).append(InfluxDBPublicParam.TIME).append(InfluxDBSqlConstant.LE).append(InfluxDBSqlConstant.QM).append(DateUtil.endOfDay(date)).append(InfluxDBSqlConstant.QM)
.append(InfluxDBSqlConstant.AND).append(InfluxDBPublicParam.LINE_ID).append(InfluxDBSqlConstant.EQ).append(InfluxDBSqlConstant.QM).append(id).append(InfluxDBSqlConstant.QM)
.append(InfluxDBSqlConstant.AND).append(InfluxDBPublicParam.PHASIC_TYPE).append(InfluxDBSqlConstant.EQ).append(InfluxDBSqlConstant.QM).append(InfluxDBTableConstant.PHASE_TYPE_A).append(InfluxDBSqlConstant.QM);
if (InfluxDBPublicParam.DATA_V.equals(tableName)){
stringBuilder.append(InfluxDBSqlConstant.AND).append(InfluxDBPublicParam.VALUE_TYPE).append(InfluxDBSqlConstant.EQ).append(InfluxDBSqlConstant.QM).append(InfluxDBTableConstant.AVG).append(InfluxDBSqlConstant.QM);
}
return stringBuilder.toString();
}
}