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部分日表算法

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xy
2025-02-28 16:29:40 +08:00
parent f1ddff6bcb
commit 2632c4f7ff
81 changed files with 5847 additions and 70 deletions
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64
algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/executor/MeasurementExecutor.java
View File

@@ -155,7 +155,6 @@ public class MeasurementExecutor extends BaseExecutor {
}
/**
* 监测点报表_日表(r_stat_data_*_d)
* @author xy
@@ -169,4 +168,67 @@ public class MeasurementExecutor extends BaseExecutor {
dayDataService.dataVHandler(bindCmp.getRequestData());
}
@LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataI", nodeType = NodeTypeEnum.COMMON)
public boolean dataIToDayAccess(NodeComponent bindCmp) {
return isAccess(bindCmp);
}
@LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataI", nodeType = NodeTypeEnum.COMMON)
public void dataIToDayProcess(NodeComponent bindCmp) {
dayDataService.dataIHandler(bindCmp.getRequestData());
}
@LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataFlicker", nodeType = NodeTypeEnum.COMMON)
public boolean dataFlickerToDayAccess(NodeComponent bindCmp) {
return isAccess(bindCmp);
}
@LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataFlicker", nodeType = NodeTypeEnum.COMMON)
public void dataFlickerToDayProcess(NodeComponent bindCmp) {
dayDataService.dataFlickerHandler(bindCmp.getRequestData());
}
@LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataFluc", nodeType = NodeTypeEnum.COMMON)
public boolean dataFlucToDayAccess(NodeComponent bindCmp) {
return isAccess(bindCmp);
}
@LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataFluc", nodeType = NodeTypeEnum.COMMON)
public void dataFlucToDayProcess(NodeComponent bindCmp) {
dayDataService.dataFlucHandler(bindCmp.getRequestData());
}
@LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataHarmPhasicI", nodeType = NodeTypeEnum.COMMON)
public boolean dataHarmPhasicIToDayAccess(NodeComponent bindCmp) {
return isAccess(bindCmp);
}
@LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataHarmPhasicI", nodeType = NodeTypeEnum.COMMON)
public void dataHarmPhasicIToDayProcess(NodeComponent bindCmp) {
dayDataService.dataHarmPhasicIHandler(bindCmp.getRequestData());
}
@LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataHarmPhasicV", nodeType = NodeTypeEnum.COMMON)
public boolean dataHarmPhasicVToDayAccess(NodeComponent bindCmp) {
return isAccess(bindCmp);
}
@LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataHarmPhasicV", nodeType = NodeTypeEnum.COMMON)
public void dataHarmPhasicVToDayProcess(NodeComponent bindCmp) {
dayDataService.dataHarmPhasicVHandler(bindCmp.getRequestData());
}
@LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataHarmPowerP", nodeType = NodeTypeEnum.COMMON)
public boolean dataHarmPowerPToDayAccess(NodeComponent bindCmp) {
return isAccess(bindCmp);
}
@LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataHarmPowerP", nodeType = NodeTypeEnum.COMMON)
public void dataHarmPowerPToDayProcess(NodeComponent bindCmp) {
dayDataService.dataHarmPowerPHandler(bindCmp.getRequestData());
}
@LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataHarmPowerQ", nodeType = NodeTypeEnum.COMMON)
public boolean dataHarmPowerQToDayAccess(NodeComponent bindCmp) {
return isAccess(bindCmp);
}
@LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataHarmPowerQ", nodeType = NodeTypeEnum.COMMON)
public void dataHarmPowerQToDayProcess(NodeComponent bindCmp) {
dayDataService.dataHarmPowerQHandler(bindCmp.getRequestData());
}
}

56
algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/service/line/IDayDataService.java
View File

@@ -16,4 +16,60 @@ public interface IDayDataService {
*/
void dataVHandler(CalculatedParam calculatedParam);
/***
* dataI转r_stat_data_i_d
* @author xuyang
* @date 2025/01/18 21:18
* @param calculatedParam 查询条件
*/
void dataIHandler(CalculatedParam calculatedParam);
/***
* dataFlicker转r_stat_data_flicker_d
* @author xuyang
* @date 2025/01/18 21:18
* @param calculatedParam 查询条件
*/
void dataFlickerHandler(CalculatedParam calculatedParam);
/***
* dataFluc转r_stat_data_fluc_d
* @author xuyang
* @date 2025/01/18 21:18
* @param calculatedParam 查询条件
*/
void dataFlucHandler(CalculatedParam calculatedParam);
/***
* dataHarmPhasicI转r_stat_data_harmphasic_i_d
* @author xuyang
* @date 2025/01/18 21:18
* @param calculatedParam 查询条件
*/
void dataHarmPhasicIHandler(CalculatedParam calculatedParam);
/***
* dataHarmPhasicV转r_stat_data_harmphasic_v_d
* @author xuyang
* @date 2025/01/18 21:18
* @param calculatedParam 查询条件
*/
void dataHarmPhasicVHandler(CalculatedParam calculatedParam);
/***
* dataHarmPowerP转r_stat_data_harmpower_p_d
* @author xuyang
* @date 2025/01/18 21:18
* @param calculatedParam 查询条件
*/
void dataHarmPowerPHandler(CalculatedParam calculatedParam);
/***
* dataHarmPowerQ转r_stat_data_harmpower_q_d
* @author xuyang
* @date 2025/01/18 21:18
* @param calculatedParam 查询条件
*/
void dataHarmPowerQHandler(CalculatedParam calculatedParam);
}

702
algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/serviceimpl/line/DayDataServiceImpl.java
View File

@@ -3,15 +3,14 @@ package com.njcn.algorithm.serviceimpl.line;
import cn.hutool.core.collection.CollUtil;
import com.njcn.algorithm.pojo.bo.CalculatedParam;
import com.njcn.algorithm.service.line.IDayDataService;
import com.njcn.dataProcess.api.DataVFeignClient;
import com.njcn.dataProcess.api.PqDataVerifyFeignClient;
import com.njcn.dataProcess.api.*;
import com.njcn.dataProcess.enums.DataCleanEnum;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataVDto;
import com.njcn.dataProcess.pojo.dto.*;
import com.njcn.dataProcess.pojo.po.PqDataVerify;
import com.njcn.dataProcess.util.TimeUtils;
import com.njcn.influx.constant.InfluxDbSqlConstant;
import com.njcn.influx.pojo.po.DataHarmPowerQ;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.collections4.ListUtils;
@@ -36,6 +35,22 @@ public class DayDataServiceImpl implements IDayDataService {
private final static Integer NUM = 100;
@Resource
private DataVFeignClient dataVFeignClient;
@Resource
private DataIFeignClient dataIFeignClient;
@Resource
private DataFlickerFeignClient dataFlickerFeignClient;
@Resource
private DataFlucFeignClient dataFlucFeignClient;
@Resource
private DataHarmphasicIFeignClient dataHarmphasicIFeignClient;
@Resource
private DataHarmphasicVFeignClient dataHarmphasicVFeignClient;
@Resource
private DataHarmpowerPFeignClient dataHarmpowerPFeignClient;
@Resource
private DataHarmpowerQFeignClient dataHarmpowerQFeignClient;
@Resource
private PqDataVerifyFeignClient pqDataVerifyFeignClient;
@@ -70,7 +85,7 @@ public class DayDataServiceImpl implements IDayDataService {
dto.setLineId(item.getLineId());
dto.setPhasicType(item2.getPhasicType());
dto.setValueType(item3.getValueType());
dto.setQualityFlag(item.getQualityFlag());
dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag());
channelDataVHandler(item3,valueTypes,dto,true);
result.add(dto);
});
@@ -84,6 +99,324 @@ public class DayDataServiceImpl implements IDayDataService {
}
}
@Override
public void dataIHandler(CalculatedParam calculatedParam) {
logger.info("{},dataI表转r_stat_data_i_d算法开始=====》", LocalDateTime.now());
List<DataIDto> result = new ArrayList<>();
//远程接口获取分钟数据
LineCountEvaluateParam lineParam = new LineCountEvaluateParam();
lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate()));
lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate()));
//以100个监测点分片处理
List<List<String>> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM);
pendingIds.forEach(list->{
lineParam.setLineId(list);
//添加异常数据时间点
getAbnormalData(lineParam);
//获取原始数据
List<CommonMinuteDto> partList = dataIFeignClient.getBaseData(lineParam).getData();
if (CollUtil.isNotEmpty(partList)) {
partList.forEach(item->{
//相别
List<CommonMinuteDto.PhasicType> phasicTypeList = item.getPhasicTypeList();
phasicTypeList.forEach(item2->{
//数据类型
List<CommonMinuteDto.ValueType> valueTypeList = item2.getValueTypeList();
//获取平均值集合
CommonMinuteDto.ValueType valueTypes = valueTypeList.stream().filter(type-> type.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.AVG_WEB)).findFirst().orElse(null);
valueTypeList.forEach(item3->{
DataIDto dto = new DataIDto();
dto.setTime(item.getTime());
dto.setLineId(item.getLineId());
dto.setPhasicType(item2.getPhasicType());
dto.setValueType(item3.getValueType());
dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag());
channelDataIHandler(item3,valueTypes,dto,true);
result.add(dto);
});
});
});
}
});
if (CollUtil.isNotEmpty(result)) {
//存储数据
dataIFeignClient.addList(result);
}
}
@Override
public void dataFlickerHandler(CalculatedParam calculatedParam) {
logger.info("{},dataFlicker表转r_stat_data_flicker_d算法开始=====》", LocalDateTime.now());
List<String> valueList = Arrays.asList("AVG","MAX","MIN","CP95");
List<DataFlickerDto> result = new ArrayList<>();
//远程接口获取分钟数据
LineCountEvaluateParam lineParam = new LineCountEvaluateParam();
lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate()));
lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate()));
//以100个监测点分片处理
List<List<String>> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM);
pendingIds.forEach(list->{
lineParam.setLineId(list);
//添加异常数据时间点
getAbnormalData(lineParam);
//获取原始数据
List<CommonMinuteDto> partList = dataFlickerFeignClient.getBaseData(lineParam).getData();
if (CollUtil.isNotEmpty(partList)) {
partList.forEach(item->{
//相别
List<CommonMinuteDto.PhasicType> phasicTypeList = item.getPhasicTypeList();
phasicTypeList.forEach(item2->{
//数据类型
List<CommonMinuteDto.ValueType> valueTypeList = item2.getValueTypeList();
valueTypeList.forEach(item3->{
valueList.forEach(item4->{
DataFlickerDto dto = new DataFlickerDto();
dto.setTime(item.getTime());
dto.setLineId(item.getLineId());
dto.setPhasicType(item2.getPhasicType());
dto.setValueType(item4);
dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag());
channelDataFlickerHandler(item3,dto,item4,true);
result.add(dto);
});
});
});
});
}
});
if (CollUtil.isNotEmpty(result)) {
//存储数据
dataFlickerFeignClient.addList(result);
}
}
@Override
public void dataFlucHandler(CalculatedParam calculatedParam) {
logger.info("{},dataFluc表转r_stat_data_fluc_d算法开始=====》", LocalDateTime.now());
List<String> valueList = Arrays.asList("AVG","MAX","MIN","CP95");
List<DataFlucDto> result = new ArrayList<>();
//远程接口获取分钟数据
LineCountEvaluateParam lineParam = new LineCountEvaluateParam();
lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate()));
lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate()));
//以100个监测点分片处理
List<List<String>> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM);
pendingIds.forEach(list->{
lineParam.setLineId(list);
//添加异常数据时间点
getAbnormalData(lineParam);
//获取原始数据
List<CommonMinuteDto> partList = dataFlucFeignClient.getBaseData(lineParam).getData();
if (CollUtil.isNotEmpty(partList)) {
partList.forEach(item->{
//相别
List<CommonMinuteDto.PhasicType> phasicTypeList = item.getPhasicTypeList();
phasicTypeList.forEach(item2->{
//数据类型
List<CommonMinuteDto.ValueType> valueTypeList = item2.getValueTypeList();
valueTypeList.forEach(item3->{
valueList.forEach(item4->{
DataFlucDto dto = new DataFlucDto();
dto.setTime(item.getTime());
dto.setLineId(item.getLineId());
dto.setPhasicType(item2.getPhasicType());
dto.setValueType(item4);
dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag());
channelDataFlucHandler(item3,dto,item4,true);
result.add(dto);
});
});
});
});
}
});
if (CollUtil.isNotEmpty(result)) {
//存储数据
dataFlucFeignClient.addList(result);
}
}
@Override
public void dataHarmPhasicIHandler(CalculatedParam calculatedParam) {
logger.info("{},dataHarmPhasicI表转r_stat_data_harmphasic_i_d算法开始=====》", LocalDateTime.now());
List<DataHarmPhasicIDto> result = new ArrayList<>();
//远程接口获取分钟数据
LineCountEvaluateParam lineParam = new LineCountEvaluateParam();
lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate()));
lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate()));
//以100个监测点分片处理
List<List<String>> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM);
pendingIds.forEach(list->{
lineParam.setLineId(list);
//添加异常数据时间点
getAbnormalData(lineParam);
//获取原始数据
List<CommonMinuteDto> partList = dataHarmphasicIFeignClient.getBaseData(lineParam).getData();
if (CollUtil.isNotEmpty(partList)) {
partList.forEach(item->{
//相别
List<CommonMinuteDto.PhasicType> phasicTypeList = item.getPhasicTypeList();
phasicTypeList.forEach(item2->{
//数据类型
List<CommonMinuteDto.ValueType> valueTypeList = item2.getValueTypeList();
//获取平均值集合
CommonMinuteDto.ValueType valueTypes = valueTypeList.stream().filter(type-> type.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.AVG_WEB)).findFirst().orElse(null);
valueTypeList.forEach(item3->{
DataHarmPhasicIDto dto = new DataHarmPhasicIDto();
dto.setTime(item.getTime());
dto.setLineId(item.getLineId());
dto.setPhasicType(item2.getPhasicType());
dto.setValueType(item3.getValueType());
dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag());
channelDataHarmPhasicIHandler(item3,valueTypes,dto,true);
result.add(dto);
});
});
});
}
});
if (CollUtil.isNotEmpty(result)) {
//存储数据
dataHarmphasicIFeignClient.addList(result);
}
}
@Override
public void dataHarmPhasicVHandler(CalculatedParam calculatedParam) {
logger.info("{},dataHarmPhasicV表转r_stat_data_harmphasic_v_d算法开始=====》", LocalDateTime.now());
List<DataHarmPhasicVDto> result = new ArrayList<>();
//远程接口获取分钟数据
LineCountEvaluateParam lineParam = new LineCountEvaluateParam();
lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate()));
lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate()));
//以100个监测点分片处理
List<List<String>> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM);
pendingIds.forEach(list->{
lineParam.setLineId(list);
//添加异常数据时间点
getAbnormalData(lineParam);
//获取原始数据
List<CommonMinuteDto> partList = dataHarmphasicVFeignClient.getBaseData(lineParam).getData();
if (CollUtil.isNotEmpty(partList)) {
partList.forEach(item->{
//相别
List<CommonMinuteDto.PhasicType> phasicTypeList = item.getPhasicTypeList();
phasicTypeList.forEach(item2->{
//数据类型
List<CommonMinuteDto.ValueType> valueTypeList = item2.getValueTypeList();
//获取平均值集合
CommonMinuteDto.ValueType valueTypes = valueTypeList.stream().filter(type-> type.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.AVG_WEB)).findFirst().orElse(null);
valueTypeList.forEach(item3->{
DataHarmPhasicVDto dto = new DataHarmPhasicVDto();
dto.setTime(item.getTime());
dto.setLineId(item.getLineId());
dto.setPhasicType(item2.getPhasicType());
dto.setValueType(item3.getValueType());
dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag());
channelDataHarmPhasicVHandler(item3,valueTypes,dto,true);
result.add(dto);
});
});
});
}
});
if (CollUtil.isNotEmpty(result)) {
//存储数据
dataHarmphasicVFeignClient.addList(result);
}
}
@Override
public void dataHarmPowerPHandler(CalculatedParam calculatedParam) {
logger.info("{},dataHarmPowerP表转r_stat_data_harmpower_p_d算法开始=====》", LocalDateTime.now());
List<DataHarmPowerPDto> result = new ArrayList<>();
//远程接口获取分钟数据
LineCountEvaluateParam lineParam = new LineCountEvaluateParam();
lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate()));
lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate()));
//以100个监测点分片处理
List<List<String>> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM);
pendingIds.forEach(list->{
lineParam.setLineId(list);
//添加异常数据时间点
getAbnormalData(lineParam);
//获取原始数据
List<CommonMinuteDto> partList = dataHarmpowerPFeignClient.getBaseData(lineParam).getData();
if (CollUtil.isNotEmpty(partList)) {
partList.forEach(item->{
//相别
List<CommonMinuteDto.PhasicType> phasicTypeList = item.getPhasicTypeList();
phasicTypeList.forEach(item2->{
//数据类型
List<CommonMinuteDto.ValueType> valueTypeList = item2.getValueTypeList();
//获取平均值集合
CommonMinuteDto.ValueType valueTypes = valueTypeList.stream().filter(type-> type.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.AVG_WEB)).findFirst().orElse(null);
valueTypeList.forEach(item3->{
DataHarmPowerPDto dto = new DataHarmPowerPDto();
dto.setTime(item.getTime());
dto.setLineId(item.getLineId());
dto.setPhasicType(item2.getPhasicType());
dto.setValueType(item3.getValueType());
dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag());
channelDataHarmPowerPHandler(item3,valueTypes,dto,true);
result.add(dto);
});
});
});
}
});
if (CollUtil.isNotEmpty(result)) {
//存储数据
dataHarmpowerPFeignClient.addList(result);
}
}
@Override
public void dataHarmPowerQHandler(CalculatedParam calculatedParam) {
logger.info("{},dataHarmPowerQ表转r_stat_data_harmpower_q_d算法开始=====》", LocalDateTime.now());
List<DataHarmPowerQDto> result = new ArrayList<>();
//远程接口获取分钟数据
LineCountEvaluateParam lineParam = new LineCountEvaluateParam();
lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate()));
lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate()));
//以100个监测点分片处理
List<List<String>> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM);
pendingIds.forEach(list->{
lineParam.setLineId(list);
//添加异常数据时间点
getAbnormalData(lineParam);
//获取原始数据
List<CommonMinuteDto> partList = dataHarmpowerQFeignClient.getBaseData(lineParam).getData();
if (CollUtil.isNotEmpty(partList)) {
partList.forEach(item->{
//相别
List<CommonMinuteDto.PhasicType> phasicTypeList = item.getPhasicTypeList();
phasicTypeList.forEach(item2->{
//数据类型
List<CommonMinuteDto.ValueType> valueTypeList = item2.getValueTypeList();
//获取平均值集合
CommonMinuteDto.ValueType valueTypes = valueTypeList.stream().filter(type-> type.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.AVG_WEB)).findFirst().orElse(null);
valueTypeList.forEach(item3->{
DataHarmPowerQDto dto = new DataHarmPowerQDto();
dto.setTime(item.getTime());
dto.setLineId(item.getLineId());
dto.setPhasicType(item2.getPhasicType());
dto.setValueType(item3.getValueType());
dto.setQualityFlag(Objects.equals(item.getQualityFlag(),"null") ? "0" : item.getQualityFlag());
channelDataHarmPowerQHandler(item3,valueTypes,dto,true);
result.add(dto);
});
});
});
}
});
if (CollUtil.isNotEmpty(result)) {
//存储数据
dataHarmpowerQFeignClient.addList(result);
}
}
//获取异常数据集合
public void getAbnormalData(LineCountEvaluateParam lineParam) {
lineParam.setTableName(DataCleanEnum.DataV.getCode());
@@ -181,6 +514,365 @@ public class DayDataServiceImpl implements IDayDataService {
dto.setV50(getData(type,valueType.getValueList().get(60),scheme));
}
public void channelDataIHandler(CommonMinuteDto.ValueType pojo1, CommonMinuteDto.ValueType pojo2, DataIDto dto, boolean scheme) {
CommonMinuteDto.ValueType valueType;
String type;
if (dto.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.CP95) && !scheme) {
valueType = pojo2;
type = "CP95";
} else {
valueType = pojo1;
type = pojo1.getValueType();
}
//按照指标集合排列顺序取值
dto.setINeg(getData(type,valueType.getValueList().get(0),scheme));
dto.setIPos(getData(type,valueType.getValueList().get(1),scheme));
dto.setIThd(getData(type,valueType.getValueList().get(2),scheme));
dto.setIUnbalance(getData(type,valueType.getValueList().get(3),scheme));
dto.setIZero(getData(type,valueType.getValueList().get(4),scheme));
dto.setRms(getData(type,valueType.getValueList().get(5),scheme));
dto.setI1(getData(type,valueType.getValueList().get(6),scheme));
dto.setI2(getData(type,valueType.getValueList().get(7),scheme));
dto.setI3(getData(type,valueType.getValueList().get(8),scheme));
dto.setI4(getData(type,valueType.getValueList().get(9),scheme));
dto.setI5(getData(type,valueType.getValueList().get(10),scheme));
dto.setI6(getData(type,valueType.getValueList().get(11),scheme));
dto.setI7(getData(type,valueType.getValueList().get(12),scheme));
dto.setI8(getData(type,valueType.getValueList().get(13),scheme));
dto.setI9(getData(type,valueType.getValueList().get(14),scheme));
dto.setI10(getData(type,valueType.getValueList().get(15),scheme));
dto.setI11(getData(type,valueType.getValueList().get(16),scheme));
dto.setI12(getData(type,valueType.getValueList().get(17),scheme));
dto.setI13(getData(type,valueType.getValueList().get(18),scheme));
dto.setI14(getData(type,valueType.getValueList().get(19),scheme));
dto.setI15(getData(type,valueType.getValueList().get(20),scheme));
dto.setI16(getData(type,valueType.getValueList().get(21),scheme));
dto.setI17(getData(type,valueType.getValueList().get(22),scheme));
dto.setI18(getData(type,valueType.getValueList().get(23),scheme));
dto.setI19(getData(type,valueType.getValueList().get(24),scheme));
dto.setI20(getData(type,valueType.getValueList().get(25),scheme));
dto.setI21(getData(type,valueType.getValueList().get(26),scheme));
dto.setI22(getData(type,valueType.getValueList().get(27),scheme));
dto.setI23(getData(type,valueType.getValueList().get(28),scheme));
dto.setI24(getData(type,valueType.getValueList().get(29),scheme));
dto.setI25(getData(type,valueType.getValueList().get(30),scheme));
dto.setI26(getData(type,valueType.getValueList().get(31),scheme));
dto.setI27(getData(type,valueType.getValueList().get(32),scheme));
dto.setI28(getData(type,valueType.getValueList().get(33),scheme));
dto.setI29(getData(type,valueType.getValueList().get(34),scheme));
dto.setI30(getData(type,valueType.getValueList().get(35),scheme));
dto.setI31(getData(type,valueType.getValueList().get(36),scheme));
dto.setI32(getData(type,valueType.getValueList().get(37),scheme));
dto.setI33(getData(type,valueType.getValueList().get(38),scheme));
dto.setI34(getData(type,valueType.getValueList().get(39),scheme));
dto.setI35(getData(type,valueType.getValueList().get(40),scheme));
dto.setI36(getData(type,valueType.getValueList().get(41),scheme));
dto.setI37(getData(type,valueType.getValueList().get(42),scheme));
dto.setI38(getData(type,valueType.getValueList().get(43),scheme));
dto.setI39(getData(type,valueType.getValueList().get(44),scheme));
dto.setI40(getData(type,valueType.getValueList().get(45),scheme));
dto.setI41(getData(type,valueType.getValueList().get(46),scheme));
dto.setI42(getData(type,valueType.getValueList().get(47),scheme));
dto.setI43(getData(type,valueType.getValueList().get(48),scheme));
dto.setI44(getData(type,valueType.getValueList().get(49),scheme));
dto.setI45(getData(type,valueType.getValueList().get(50),scheme));
dto.setI46(getData(type,valueType.getValueList().get(51),scheme));
dto.setI47(getData(type,valueType.getValueList().get(52),scheme));
dto.setI48(getData(type,valueType.getValueList().get(53),scheme));
dto.setI49(getData(type,valueType.getValueList().get(54),scheme));
dto.setI50(getData(type,valueType.getValueList().get(55),scheme));
}
public void channelDataFlickerHandler(CommonMinuteDto.ValueType pojo1, DataFlickerDto dto, String valueType, boolean scheme) {
dto.setFluc(getData(valueType,pojo1.getValueList().get(0),scheme));
dto.setPlt(getData(valueType,pojo1.getValueList().get(1),scheme));
dto.setPst(getData(valueType,pojo1.getValueList().get(2),scheme));
}
public void channelDataFlucHandler(CommonMinuteDto.ValueType pojo1, DataFlucDto dto, String valueType, boolean scheme) {
dto.setFluc(getData(valueType,pojo1.getValueList().get(0),scheme));
dto.setFluccf(getData(valueType,pojo1.getValueList().get(1),scheme));
}
public void channelDataHarmPhasicIHandler(CommonMinuteDto.ValueType pojo1, CommonMinuteDto.ValueType pojo2, DataHarmPhasicIDto dto, boolean scheme) {
CommonMinuteDto.ValueType valueType;
String type;
if (dto.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.CP95) && !scheme) {
valueType = pojo2;
type = "CP95";
} else {
valueType = pojo1;
type = pojo1.getValueType();
}
//按照指标集合排列顺序取值
dto.setI1(getData(type,valueType.getValueList().get(0),scheme));
dto.setI2(getData(type,valueType.getValueList().get(1),scheme));
dto.setI3(getData(type,valueType.getValueList().get(2),scheme));
dto.setI4(getData(type,valueType.getValueList().get(3),scheme));
dto.setI5(getData(type,valueType.getValueList().get(4),scheme));
dto.setI6(getData(type,valueType.getValueList().get(5),scheme));
dto.setI7(getData(type,valueType.getValueList().get(6),scheme));
dto.setI8(getData(type,valueType.getValueList().get(7),scheme));
dto.setI9(getData(type,valueType.getValueList().get(8),scheme));
dto.setI10(getData(type,valueType.getValueList().get(9),scheme));
dto.setI11(getData(type,valueType.getValueList().get(10),scheme));
dto.setI12(getData(type,valueType.getValueList().get(11),scheme));
dto.setI13(getData(type,valueType.getValueList().get(12),scheme));
dto.setI14(getData(type,valueType.getValueList().get(13),scheme));
dto.setI15(getData(type,valueType.getValueList().get(14),scheme));
dto.setI16(getData(type,valueType.getValueList().get(15),scheme));
dto.setI17(getData(type,valueType.getValueList().get(16),scheme));
dto.setI18(getData(type,valueType.getValueList().get(17),scheme));
dto.setI19(getData(type,valueType.getValueList().get(18),scheme));
dto.setI20(getData(type,valueType.getValueList().get(19),scheme));
dto.setI21(getData(type,valueType.getValueList().get(20),scheme));
dto.setI22(getData(type,valueType.getValueList().get(21),scheme));
dto.setI23(getData(type,valueType.getValueList().get(22),scheme));
dto.setI24(getData(type,valueType.getValueList().get(23),scheme));
dto.setI25(getData(type,valueType.getValueList().get(24),scheme));
dto.setI26(getData(type,valueType.getValueList().get(25),scheme));
dto.setI27(getData(type,valueType.getValueList().get(26),scheme));
dto.setI28(getData(type,valueType.getValueList().get(27),scheme));
dto.setI29(getData(type,valueType.getValueList().get(28),scheme));
dto.setI30(getData(type,valueType.getValueList().get(29),scheme));
dto.setI31(getData(type,valueType.getValueList().get(30),scheme));
dto.setI32(getData(type,valueType.getValueList().get(31),scheme));
dto.setI33(getData(type,valueType.getValueList().get(32),scheme));
dto.setI34(getData(type,valueType.getValueList().get(33),scheme));
dto.setI35(getData(type,valueType.getValueList().get(34),scheme));
dto.setI36(getData(type,valueType.getValueList().get(35),scheme));
dto.setI37(getData(type,valueType.getValueList().get(36),scheme));
dto.setI38(getData(type,valueType.getValueList().get(37),scheme));
dto.setI39(getData(type,valueType.getValueList().get(38),scheme));
dto.setI40(getData(type,valueType.getValueList().get(39),scheme));
dto.setI41(getData(type,valueType.getValueList().get(40),scheme));
dto.setI42(getData(type,valueType.getValueList().get(41),scheme));
dto.setI43(getData(type,valueType.getValueList().get(42),scheme));
dto.setI44(getData(type,valueType.getValueList().get(43),scheme));
dto.setI45(getData(type,valueType.getValueList().get(44),scheme));
dto.setI46(getData(type,valueType.getValueList().get(45),scheme));
dto.setI47(getData(type,valueType.getValueList().get(46),scheme));
dto.setI48(getData(type,valueType.getValueList().get(47),scheme));
dto.setI49(getData(type,valueType.getValueList().get(48),scheme));
dto.setI50(getData(type,valueType.getValueList().get(49),scheme));
}
public void channelDataHarmPhasicVHandler(CommonMinuteDto.ValueType pojo1, CommonMinuteDto.ValueType pojo2, DataHarmPhasicVDto dto, boolean scheme) {
CommonMinuteDto.ValueType valueType;
String type;
if (dto.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.CP95) && !scheme) {
valueType = pojo2;
type = "CP95";
} else {
valueType = pojo1;
type = pojo1.getValueType();
}
//按照指标集合排列顺序取值
dto.setV1(getData(type,valueType.getValueList().get(0),scheme));
dto.setV2(getData(type,valueType.getValueList().get(1),scheme));
dto.setV3(getData(type,valueType.getValueList().get(2),scheme));
dto.setV4(getData(type,valueType.getValueList().get(3),scheme));
dto.setV5(getData(type,valueType.getValueList().get(4),scheme));
dto.setV6(getData(type,valueType.getValueList().get(5),scheme));
dto.setV7(getData(type,valueType.getValueList().get(6),scheme));
dto.setV8(getData(type,valueType.getValueList().get(7),scheme));
dto.setV9(getData(type,valueType.getValueList().get(8),scheme));
dto.setV10(getData(type,valueType.getValueList().get(9),scheme));
dto.setV11(getData(type,valueType.getValueList().get(10),scheme));
dto.setV12(getData(type,valueType.getValueList().get(11),scheme));
dto.setV13(getData(type,valueType.getValueList().get(12),scheme));
dto.setV14(getData(type,valueType.getValueList().get(13),scheme));
dto.setV15(getData(type,valueType.getValueList().get(14),scheme));
dto.setV16(getData(type,valueType.getValueList().get(15),scheme));
dto.setV17(getData(type,valueType.getValueList().get(16),scheme));
dto.setV18(getData(type,valueType.getValueList().get(17),scheme));
dto.setV19(getData(type,valueType.getValueList().get(18),scheme));
dto.setV20(getData(type,valueType.getValueList().get(19),scheme));
dto.setV21(getData(type,valueType.getValueList().get(20),scheme));
dto.setV22(getData(type,valueType.getValueList().get(21),scheme));
dto.setV23(getData(type,valueType.getValueList().get(22),scheme));
dto.setV24(getData(type,valueType.getValueList().get(23),scheme));
dto.setV25(getData(type,valueType.getValueList().get(24),scheme));
dto.setV26(getData(type,valueType.getValueList().get(25),scheme));
dto.setV27(getData(type,valueType.getValueList().get(26),scheme));
dto.setV28(getData(type,valueType.getValueList().get(27),scheme));
dto.setV29(getData(type,valueType.getValueList().get(28),scheme));
dto.setV30(getData(type,valueType.getValueList().get(29),scheme));
dto.setV31(getData(type,valueType.getValueList().get(30),scheme));
dto.setV32(getData(type,valueType.getValueList().get(31),scheme));
dto.setV33(getData(type,valueType.getValueList().get(32),scheme));
dto.setV34(getData(type,valueType.getValueList().get(33),scheme));
dto.setV35(getData(type,valueType.getValueList().get(34),scheme));
dto.setV36(getData(type,valueType.getValueList().get(35),scheme));
dto.setV37(getData(type,valueType.getValueList().get(36),scheme));
dto.setV38(getData(type,valueType.getValueList().get(37),scheme));
dto.setV39(getData(type,valueType.getValueList().get(38),scheme));
dto.setV40(getData(type,valueType.getValueList().get(39),scheme));
dto.setV41(getData(type,valueType.getValueList().get(40),scheme));
dto.setV42(getData(type,valueType.getValueList().get(41),scheme));
dto.setV43(getData(type,valueType.getValueList().get(42),scheme));
dto.setV44(getData(type,valueType.getValueList().get(43),scheme));
dto.setV45(getData(type,valueType.getValueList().get(44),scheme));
dto.setV46(getData(type,valueType.getValueList().get(45),scheme));
dto.setV47(getData(type,valueType.getValueList().get(46),scheme));
dto.setV48(getData(type,valueType.getValueList().get(47),scheme));
dto.setV49(getData(type,valueType.getValueList().get(48),scheme));
dto.setV50(getData(type,valueType.getValueList().get(49),scheme));
}
public void channelDataHarmPowerPHandler(CommonMinuteDto.ValueType pojo1, CommonMinuteDto.ValueType pojo2, DataHarmPowerPDto dto, boolean scheme) {
CommonMinuteDto.ValueType valueType;
String type;
if (dto.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.CP95) && !scheme) {
valueType = pojo2;
type = "CP95";
} else {
valueType = pojo1;
type = pojo1.getValueType();
}
//按照指标集合排列顺序取值
dto.setDf(getData(type,valueType.getValueList().get(0),scheme));
dto.setPf(getData(type,valueType.getValueList().get(1),scheme));
dto.setP(getData(type,valueType.getValueList().get(2),scheme));
dto.setP1(getData(type,valueType.getValueList().get(3),scheme));
dto.setP2(getData(type,valueType.getValueList().get(4),scheme));
dto.setP3(getData(type,valueType.getValueList().get(5),scheme));
dto.setP4(getData(type,valueType.getValueList().get(6),scheme));
dto.setP5(getData(type,valueType.getValueList().get(7),scheme));
dto.setP6(getData(type,valueType.getValueList().get(8),scheme));
dto.setP7(getData(type,valueType.getValueList().get(9),scheme));
dto.setP8(getData(type,valueType.getValueList().get(10),scheme));
dto.setP9(getData(type,valueType.getValueList().get(11),scheme));
dto.setP10(getData(type,valueType.getValueList().get(12),scheme));
dto.setP11(getData(type,valueType.getValueList().get(13),scheme));
dto.setP12(getData(type,valueType.getValueList().get(14),scheme));
dto.setP13(getData(type,valueType.getValueList().get(15),scheme));
dto.setP14(getData(type,valueType.getValueList().get(16),scheme));
dto.setP15(getData(type,valueType.getValueList().get(17),scheme));
dto.setP16(getData(type,valueType.getValueList().get(18),scheme));
dto.setP17(getData(type,valueType.getValueList().get(19),scheme));
dto.setP18(getData(type,valueType.getValueList().get(20),scheme));
dto.setP19(getData(type,valueType.getValueList().get(21),scheme));
dto.setP20(getData(type,valueType.getValueList().get(22),scheme));
dto.setP21(getData(type,valueType.getValueList().get(23),scheme));
dto.setP22(getData(type,valueType.getValueList().get(24),scheme));
dto.setP23(getData(type,valueType.getValueList().get(25),scheme));
dto.setP24(getData(type,valueType.getValueList().get(26),scheme));
dto.setP25(getData(type,valueType.getValueList().get(27),scheme));
dto.setP26(getData(type,valueType.getValueList().get(28),scheme));
dto.setP27(getData(type,valueType.getValueList().get(29),scheme));
dto.setP28(getData(type,valueType.getValueList().get(30),scheme));
dto.setP29(getData(type,valueType.getValueList().get(31),scheme));
dto.setP30(getData(type,valueType.getValueList().get(32),scheme));
dto.setP31(getData(type,valueType.getValueList().get(33),scheme));
dto.setP32(getData(type,valueType.getValueList().get(34),scheme));
dto.setP33(getData(type,valueType.getValueList().get(35),scheme));
dto.setP34(getData(type,valueType.getValueList().get(36),scheme));
dto.setP35(getData(type,valueType.getValueList().get(37),scheme));
dto.setP36(getData(type,valueType.getValueList().get(38),scheme));
dto.setP37(getData(type,valueType.getValueList().get(39),scheme));
dto.setP38(getData(type,valueType.getValueList().get(40),scheme));
dto.setP39(getData(type,valueType.getValueList().get(41),scheme));
dto.setP40(getData(type,valueType.getValueList().get(42),scheme));
dto.setP41(getData(type,valueType.getValueList().get(43),scheme));
dto.setP42(getData(type,valueType.getValueList().get(44),scheme));
dto.setP43(getData(type,valueType.getValueList().get(45),scheme));
dto.setP44(getData(type,valueType.getValueList().get(46),scheme));
dto.setP45(getData(type,valueType.getValueList().get(47),scheme));
dto.setP46(getData(type,valueType.getValueList().get(48),scheme));
dto.setP47(getData(type,valueType.getValueList().get(49),scheme));
dto.setP48(getData(type,valueType.getValueList().get(50),scheme));
dto.setP49(getData(type,valueType.getValueList().get(51),scheme));
dto.setP50(getData(type,valueType.getValueList().get(52),scheme));
}
public void channelDataHarmPowerQHandler(CommonMinuteDto.ValueType pojo1, CommonMinuteDto.ValueType pojo2, DataHarmPowerQDto dto, boolean scheme) {
CommonMinuteDto.ValueType valueType;
String type;
if (dto.getValueType().equalsIgnoreCase(InfluxDbSqlConstant.CP95) && !scheme) {
valueType = pojo2;
type = "CP95";
} else {
valueType = pojo1;
type = pojo1.getValueType();
}
//按照指标集合排列顺序取值
dto.setQ(getData(type,valueType.getValueList().get(0),scheme));
dto.setQ1(getData(type,valueType.getValueList().get(1),scheme));
dto.setQ2(getData(type,valueType.getValueList().get(2),scheme));
dto.setQ3(getData(type,valueType.getValueList().get(3),scheme));
dto.setQ4(getData(type,valueType.getValueList().get(4),scheme));
dto.setQ5(getData(type,valueType.getValueList().get(5),scheme));
dto.setQ6(getData(type,valueType.getValueList().get(6),scheme));
dto.setQ7(getData(type,valueType.getValueList().get(7),scheme));
dto.setQ8(getData(type,valueType.getValueList().get(8),scheme));
dto.setQ9(getData(type,valueType.getValueList().get(9),scheme));
dto.setQ10(getData(type,valueType.getValueList().get(10),scheme));
dto.setQ11(getData(type,valueType.getValueList().get(11),scheme));
dto.setQ12(getData(type,valueType.getValueList().get(12),scheme));
dto.setQ13(getData(type,valueType.getValueList().get(13),scheme));
dto.setQ14(getData(type,valueType.getValueList().get(14),scheme));
dto.setQ15(getData(type,valueType.getValueList().get(15),scheme));
dto.setQ16(getData(type,valueType.getValueList().get(16),scheme));
dto.setQ17(getData(type,valueType.getValueList().get(17),scheme));
dto.setQ18(getData(type,valueType.getValueList().get(18),scheme));
dto.setQ19(getData(type,valueType.getValueList().get(19),scheme));
dto.setQ20(getData(type,valueType.getValueList().get(20),scheme));
dto.setQ21(getData(type,valueType.getValueList().get(21),scheme));
dto.setQ22(getData(type,valueType.getValueList().get(22),scheme));
dto.setQ23(getData(type,valueType.getValueList().get(23),scheme));
dto.setQ24(getData(type,valueType.getValueList().get(24),scheme));
dto.setQ25(getData(type,valueType.getValueList().get(25),scheme));
dto.setQ26(getData(type,valueType.getValueList().get(26),scheme));
dto.setQ27(getData(type,valueType.getValueList().get(27),scheme));
dto.setQ28(getData(type,valueType.getValueList().get(28),scheme));
dto.setQ29(getData(type,valueType.getValueList().get(29),scheme));
dto.setQ30(getData(type,valueType.getValueList().get(30),scheme));
dto.setQ31(getData(type,valueType.getValueList().get(31),scheme));
dto.setQ32(getData(type,valueType.getValueList().get(32),scheme));
dto.setQ33(getData(type,valueType.getValueList().get(33),scheme));
dto.setQ34(getData(type,valueType.getValueList().get(34),scheme));
dto.setQ35(getData(type,valueType.getValueList().get(35),scheme));
dto.setQ36(getData(type,valueType.getValueList().get(36),scheme));
dto.setQ37(getData(type,valueType.getValueList().get(37),scheme));
dto.setQ38(getData(type,valueType.getValueList().get(38),scheme));
dto.setQ39(getData(type,valueType.getValueList().get(39),scheme));
dto.setQ40(getData(type,valueType.getValueList().get(40),scheme));
dto.setQ41(getData(type,valueType.getValueList().get(41),scheme));
dto.setQ42(getData(type,valueType.getValueList().get(42),scheme));
dto.setQ43(getData(type,valueType.getValueList().get(43),scheme));
dto.setQ44(getData(type,valueType.getValueList().get(44),scheme));
dto.setQ45(getData(type,valueType.getValueList().get(45),scheme));
dto.setQ46(getData(type,valueType.getValueList().get(46),scheme));
dto.setQ47(getData(type,valueType.getValueList().get(47),scheme));
dto.setQ48(getData(type,valueType.getValueList().get(48),scheme));
dto.setQ49(getData(type,valueType.getValueList().get(49),scheme));
dto.setQ50(getData(type,valueType.getValueList().get(50),scheme));
}
//数据类型处理
//cp95值的计算有点区别，会用到cp95的集合或者平均值的集合
public Double getData(String valueType, List<Double> list, boolean scheme) {

10
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataFlickerFeignClient.java
View File

@@ -5,7 +5,9 @@ import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.fallback.DataFlickerFeignClientFallbackFactory;
import com.njcn.dataProcess.dto.DataFlickerDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataFlickerDto;
import com.njcn.dataProcess.pojo.dto.DataIDto;
import org.springframework.cloud.openfeign.FeignClient;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
@@ -20,11 +22,15 @@ import java.util.List;
@FeignClient(value = ServerInfo.PLATFORM_DATA_PROCESSING_BOOT, path = "/dataFlicker", fallbackFactory = DataFlickerFeignClientFallbackFactory.class, contextId = "dataFlicker")
public interface DataFlickerFeignClient {
@PostMapping("/batchInsertion")
HttpResult<String> batchInsertion(@RequestBody List<DataFlickerDTO> dataFlickerDTOList);
@PostMapping("/getRawData")
HttpResult<List<DataFlickerDto>> getRawData(@RequestBody LineCountEvaluateParam lineParam);
@PostMapping("/getBaseData")
HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam);
@PostMapping("/addList")
HttpResult<String> addList(@RequestBody List<DataFlickerDto> data);
}

8
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataFlucFeignClient.java
View File

@@ -5,6 +5,7 @@ import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.fallback.DataFlucFeignClientFallbackFactory;
import com.njcn.dataProcess.dto.DataFlucDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataFlucDto;
import org.springframework.cloud.openfeign.FeignClient;
import org.springframework.web.bind.annotation.PostMapping;
@@ -27,4 +28,11 @@ public interface DataFlucFeignClient {
@PostMapping("/getRawData")
HttpResult<List<DataFlucDto>> getRawData(@RequestBody LineCountEvaluateParam lineParam);
@PostMapping("/getBaseData")
HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam);
@PostMapping("/addList")
HttpResult<String> addList(@RequestBody List<DataFlucDto> data);
}

12
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmphasicIFeignClient.java
View File

@@ -5,6 +5,10 @@ import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.fallback.DataHarmphasicIFeignClientFallbackFactory;
import com.njcn.dataProcess.dto.DataHarmphasicIDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataFlucDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPhasicIDto;
import org.springframework.cloud.openfeign.FeignClient;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
@@ -19,9 +23,13 @@ import java.util.List;
@FeignClient(value = ServerInfo.PLATFORM_DATA_PROCESSING_BOOT, path = "/dataHarmphasicI", fallbackFactory = DataHarmphasicIFeignClientFallbackFactory.class, contextId = "dataHarmphasicI")
public interface DataHarmphasicIFeignClient {
@PostMapping("/batchInsertion")
HttpResult<String> batchInsertion(@RequestBody List<DataHarmphasicIDTO> dataHarmphasicIDTOList);
@PostMapping("/getBaseData")
HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam);
@PostMapping("/addList")
HttpResult<String> addList(@RequestBody List<DataHarmPhasicIDto> data);
}

8
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmphasicVFeignClient.java
View File

@@ -5,7 +5,9 @@ import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.fallback.DataHarmphasicVFeignClientFallbackFactory;
import com.njcn.dataProcess.dto.DataHarmphasicVDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto;
import org.springframework.cloud.openfeign.FeignClient;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
@@ -28,4 +30,10 @@ public interface DataHarmphasicVFeignClient {
@PostMapping("/getRawData")
HttpResult<List<DataHarmDto>> getRawData(@RequestBody LineCountEvaluateParam lineParam);
@PostMapping("/getBaseData")
HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam);
@PostMapping("/addList")
HttpResult<String> addList(@RequestBody List<DataHarmPhasicVDto> data);
}

9
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmpowerPFeignClient.java
View File

@@ -5,6 +5,9 @@ import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.fallback.DataHarmpowerPFeignClientFallbackFactory;
import com.njcn.dataProcess.dto.DataHarmpowerPDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPowerPDto;
import com.njcn.dataProcess.pojo.dto.DataPowerPDto;
import org.springframework.cloud.openfeign.FeignClient;
import org.springframework.web.bind.annotation.PostMapping;
@@ -25,4 +28,10 @@ public interface DataHarmpowerPFeignClient {
@PostMapping("/getRawData")
HttpResult<List<DataPowerPDto>> getRawData(@RequestBody LineCountEvaluateParam lineParam);
@PostMapping("/getBaseData")
HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam);
@PostMapping("/addList")
HttpResult<String> addList(@RequestBody List<DataHarmPowerPDto> data);
}

10
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataHarmpowerQFeignClient.java
View File

@@ -2,9 +2,11 @@ package com.njcn.dataProcess.api;
import com.njcn.common.pojo.constant.ServerInfo;
import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.fallback.DataHarmpowerQFeignClientFallbackFactory;
import com.njcn.dataProcess.dto.DataHarmpowerQDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPowerQDto;
import org.springframework.cloud.openfeign.FeignClient;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
@@ -24,4 +26,10 @@ public interface DataHarmpowerQFeignClient {
@PostMapping("/batchInsertion")
HttpResult<String> batchInsertion(@RequestBody List<DataHarmpowerQDTO> dataHarmpowerQDTOList);
@PostMapping("/getBaseData")
HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam);
@PostMapping("/addList")
HttpResult<String> addList(@RequestBody List<DataHarmPowerQDto> data);
}

6
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataIFeignClient.java
View File

@@ -5,6 +5,7 @@ import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.fallback.DataIFeignClientFallbackFactory;
import com.njcn.dataProcess.dto.DataIDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataIDto;
import org.springframework.cloud.openfeign.FeignClient;
import org.springframework.web.bind.annotation.PostMapping;
@@ -26,4 +27,9 @@ public interface DataIFeignClient {
@PostMapping("/getRawData")
HttpResult<List<DataIDto>> getRawData(@RequestBody LineCountEvaluateParam lineParam);
@PostMapping("/getBaseData")
HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam);
@PostMapping("/addList")
HttpResult<String> addList(@RequestBody List<DataIDto> dataIDtoList);
}

13
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataFlickerFeignClientFallbackFactory.java
View File

@@ -7,6 +7,7 @@ import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.DataFlickerFeignClient;
import com.njcn.dataProcess.dto.DataFlickerDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataFlickerDto;
import com.njcn.dataProcess.util.DataProcessingEnumUtil;
import feign.hystrix.FallbackFactory;
@@ -52,6 +53,18 @@ public class DataFlickerFeignClientFallbackFactory implements FallbackFactory<Da
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<List<CommonMinuteDto>> getBaseData(LineCountEvaluateParam lineParam) {
log.error("{}异常，降级处理，异常为：{}","获取算法基础数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> addList(List<DataFlickerDto> data) {
log.error("{}异常，降级处理，异常为：{}","存储数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
};
}
}

13
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataFlucFeignClientFallbackFactory.java
View File

@@ -6,6 +6,7 @@ import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.DataFlucFeignClient;
import com.njcn.dataProcess.dto.DataFlucDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataFlucDto;
import com.njcn.dataProcess.util.DataProcessingEnumUtil;
import feign.hystrix.FallbackFactory;
@@ -52,6 +53,18 @@ public class DataFlucFeignClientFallbackFactory implements FallbackFactory<DataF
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<List<CommonMinuteDto>> getBaseData(LineCountEvaluateParam lineParam) {
log.error("{}异常，降级处理，异常为：{}","获取算法原始数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> addList(List<DataFlucDto> data) {
log.error("{}异常，降级处理，异常为：{}","存储数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
};
}
}

15
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmphasicIFeignClientFallbackFactory.java
View File

@@ -6,6 +6,9 @@ import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.DataHarmphasicIFeignClient;
import com.njcn.dataProcess.dto.DataHarmphasicIDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPhasicIDto;
import com.njcn.dataProcess.util.DataProcessingEnumUtil;
import feign.hystrix.FallbackFactory;
import lombok.extern.slf4j.Slf4j;
@@ -44,6 +47,18 @@ public class DataHarmphasicIFeignClientFallbackFactory implements FallbackFactor
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<List<CommonMinuteDto>> getBaseData(LineCountEvaluateParam lineParam) {
log.error("{}异常，降级处理，异常为：{}","获取算法原始数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> addList(List<DataHarmPhasicIDto> data) {
log.error("{}异常，降级处理，异常为：{}","存储数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
};
}
}

14
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmphasicVFeignClientFallbackFactory.java
View File

@@ -6,7 +6,9 @@ import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.DataHarmphasicVFeignClient;
import com.njcn.dataProcess.dto.DataHarmphasicVDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto;
import com.njcn.dataProcess.util.DataProcessingEnumUtil;
import feign.hystrix.FallbackFactory;
import lombok.extern.slf4j.Slf4j;
@@ -51,6 +53,18 @@ public class DataHarmphasicVFeignClientFallbackFactory implements FallbackFactor
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<List<CommonMinuteDto>> getBaseData(LineCountEvaluateParam lineParam) {
log.error("{}异常，降级处理，异常为：{}","获取预处理数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> addList(List<DataHarmPhasicVDto> data) {
log.error("{}异常，降级处理，异常为：{}","日表存储数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
};
}
}

14
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmpowerPFeignClientFallbackFactory.java
View File

@@ -6,6 +6,8 @@ import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.DataHarmpowerPFeignClient;
import com.njcn.dataProcess.dto.DataHarmpowerPDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPowerPDto;
import com.njcn.dataProcess.pojo.dto.DataPowerPDto;
import com.njcn.dataProcess.util.DataProcessingEnumUtil;
import feign.hystrix.FallbackFactory;
@@ -51,6 +53,18 @@ public class DataHarmpowerPFeignClientFallbackFactory implements FallbackFactory
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<List<CommonMinuteDto>> getBaseData(LineCountEvaluateParam lineParam) {
log.error("{}异常，降级处理，异常为：{}","获取预处理数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> addList(List<DataHarmPowerPDto> data) {
log.error("{}异常，降级处理，异常为：{}","日表存储数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
};
}
}

15
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataHarmpowerQFeignClientFallbackFactory.java
View File

@@ -5,6 +5,9 @@ import com.njcn.common.pojo.exception.BusinessException;
import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.DataHarmpowerQFeignClient;
import com.njcn.dataProcess.dto.DataHarmpowerQDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPowerQDto;
import com.njcn.dataProcess.util.DataProcessingEnumUtil;
import feign.hystrix.FallbackFactory;
import lombok.extern.slf4j.Slf4j;
@@ -43,6 +46,18 @@ public class DataHarmpowerQFeignClientFallbackFactory implements FallbackFactory
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<List<CommonMinuteDto>> getBaseData(LineCountEvaluateParam lineParam) {
log.error("{}异常，降级处理，异常为：{}","获取预处理数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> addList(List<DataHarmPowerQDto> data) {
log.error("{}异常，降级处理，异常为：{}","日表存储数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
};
}
}

14
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataIFeignClientFallbackFactory.java
View File

@@ -6,9 +6,9 @@ import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.DataIFeignClient;
import com.njcn.dataProcess.dto.DataIDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataIDto;
import com.njcn.dataProcess.util.DataProcessingEnumUtil;
import com.njcn.system.utils.SystemEnumUtil;
import feign.hystrix.FallbackFactory;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Component;
@@ -52,6 +52,18 @@ public class DataIFeignClientFallbackFactory implements FallbackFactory<DataIFei
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<List<CommonMinuteDto>> getBaseData(LineCountEvaluateParam lineParam) {
log.error("{}异常，降级处理，异常为：{}","获取算法基础数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> addList(List<DataIDto> dataIDtoList) {
log.error("{}异常，降级处理，异常为：{}","关系型数据库插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
};
}
}

145
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPhasicIDto.java Normal file
View File

@@ -0,0 +1,145 @@
package com.njcn.dataProcess.pojo.dto;
import com.fasterxml.jackson.annotation.JsonFormat;
import io.swagger.annotations.ApiModelProperty;
import lombok.Data;
import java.io.Serializable;
/**
* @author xy
*/
@Data
public class DataHarmPhasicIDto implements Serializable {
@JsonFormat(pattern = "yyyy-MM-dd")
private String time;
@JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
private String minTime;
@ApiModelProperty("监测点Id")
private String lineId;
@ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别")
private String phasicType;
@ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95")
private String valueType;
@ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计")
private String qualityFlag;
@ApiModelProperty("数据清洗标识 0:正常 1:异常")
private Integer abnormalFlag;
@ApiModelProperty("基波电流相角")
private Double i1;
@ApiModelProperty("2次谐波电流相角")
private Double i2;
@ApiModelProperty("3次谐波电流相角")
private Double i3;
@ApiModelProperty("4次谐波电流相角")
private Double i4;
@ApiModelProperty("5次谐波电流相角")
private Double i5;
@ApiModelProperty("6次谐波电流相角")
private Double i6;
@ApiModelProperty("7次谐波电流相角")
private Double i7;
@ApiModelProperty("8次谐波电流相角")
private Double i8;
private Double i9;
private Double i10;
private Double i11;
private Double i12;
private Double i13;
private Double i14;
private Double i15;
private Double i16;
private Double i17;
private Double i18;
private Double i19;
private Double i20;
private Double i21;
private Double i22;
private Double i23;
private Double i24;
private Double i25;
private Double i26;
private Double i27;
private Double i28;
private Double i29;
private Double i30;
private Double i31;
private Double i32;
private Double i33;
private Double i34;
private Double i35;
private Double i36;
private Double i37;
private Double i38;
private Double i39;
private Double i40;
private Double i41;
private Double i42;
private Double i43;
private Double i44;
private Double i45;
private Double i46;
private Double i47;
private Double i48;
private Double i49;
@ApiModelProperty("50次谐波电流相角")
private Double i50;
}

146
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPhasicVDto.java Normal file
View File

@@ -0,0 +1,146 @@
package com.njcn.dataProcess.pojo.dto;
import com.fasterxml.jackson.annotation.JsonFormat;
import io.swagger.annotations.ApiModelProperty;
import lombok.Data;
import java.io.Serializable;
/**
* @author xy
*/
@Data
public class DataHarmPhasicVDto implements Serializable {
@JsonFormat(pattern = "yyyy-MM-dd")
private String time;
@JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
private String minTime;
@ApiModelProperty("监测点Id")
private String lineId;
@ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别")
private String phasicType;
@ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95")
private String valueType;
@ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计")
private String qualityFlag;
@ApiModelProperty("数据清洗标识 0:正常 1:异常")
private Integer abnormalFlag;
@ApiModelProperty("基波电压相角")
private Double v1;
@ApiModelProperty("2次谐波电压相角")
private Double v2;
@ApiModelProperty("3次谐波电压相角")
private Double v3;
@ApiModelProperty("4次谐波电压相角")
private Double v4;
@ApiModelProperty("5次谐波电压相角")
private Double v5;
@ApiModelProperty("6次谐波电压相角")
private Double v6;
@ApiModelProperty("7次谐波电压相角")
private Double v7;
@ApiModelProperty("8次谐波电压相角")
private Double v8;
private Double v9;
private Double v10;
private Double v11;
private Double v12;
private Double v13;
private Double v14;
private Double v15;
private Double v16;
private Double v17;
private Double v18;
private Double v19;
private Double v20;
private Double v21;
private Double v22;
private Double v23;
private Double v24;
private Double v25;
private Double v26;
private Double v27;
private Double v28;
private Double v29;
private Double v30;
private Double v31;
private Double v32;
private Double v33;
private Double v34;
private Double v35;
private Double v36;
private Double v37;
private Double v38;
private Double v39;
private Double v40;
private Double v41;
private Double v42;
private Double v43;
private Double v44;
private Double v45;
private Double v46;
private Double v47;
private Double v48;
private Double v49;
@ApiModelProperty("50次谐波电压相角")
private Double v50;
}

153
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPowerPDto.java Normal file
View File

@@ -0,0 +1,153 @@
package com.njcn.dataProcess.pojo.dto;
import com.fasterxml.jackson.annotation.JsonFormat;
import io.swagger.annotations.ApiModelProperty;
import lombok.Data;
import java.io.Serializable;
/**
* @author xy
*/
@Data
public class DataHarmPowerPDto implements Serializable {
@JsonFormat(pattern = "yyyy-MM-dd")
private String time;
@JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
private String minTime;
@ApiModelProperty("监测点Id")
private String lineId;
@ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别")
private String phasicType;
@ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95")
private String valueType;
@ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计")
private String qualityFlag;
@ApiModelProperty("数据清洗标识 0:正常 1:异常")
private Integer abnormalFlag;
@ApiModelProperty("视在功率因素")
private Double pf;
@ApiModelProperty("位移功率因数")
private Double df;
@ApiModelProperty("总有功功率")
private Double p;
@ApiModelProperty("基波有功功率")
private Double p1;
@ApiModelProperty("2次谐波有功功率")
private Double p2;
@ApiModelProperty("3次谐波有功功率")
private Double p3;
@ApiModelProperty("4次谐波有功功率")
private Double p4;
@ApiModelProperty("5次谐波有功功率")
private Double p5;
@ApiModelProperty("6次谐波有功功率")
private Double p6;
@ApiModelProperty("7次谐波有功功率")
private Double p7;
@ApiModelProperty("8次谐波有功功率")
private Double p8;
private Double p9;
private Double p10;
private Double p11;
private Double p12;
private Double p13;
private Double p14;
private Double p15;
private Double p16;
private Double p17;
private Double p18;
private Double p19;
private Double p20;
private Double p21;
private Double p22;
private Double p23;
private Double p24;
private Double p25;
private Double p26;
private Double p27;
private Double p28;
private Double p29;
private Double p30;
private Double p31;
private Double p32;
private Double p33;
private Double p34;
private Double p35;
private Double p36;
private Double p37;
private Double p38;
private Double p39;
private Double p40;
private Double p41;
private Double p42;
private Double p43;
private Double p44;
private Double p45;
private Double p46;
private Double p47;
private Double p48;
private Double p49;
@ApiModelProperty("50次谐波有功功率")
private Double p50;
}

147
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPowerQDto.java Normal file
View File

@@ -0,0 +1,147 @@
package com.njcn.dataProcess.pojo.dto;
import com.fasterxml.jackson.annotation.JsonFormat;
import io.swagger.annotations.ApiModelProperty;
import lombok.Data;
import java.io.Serializable;
/**
* @author xy
*/
@Data
public class DataHarmPowerQDto implements Serializable {
@JsonFormat(pattern = "yyyy-MM-dd")
private String time;
@JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
private String minTime;
@ApiModelProperty("监测点Id")
private String lineId;
@ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别")
private String phasicType;
@ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95")
private String valueType;
@ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计")
private String qualityFlag;
@ApiModelProperty("数据清洗标识 0:正常 1:异常")
private Integer abnormalFlag;
@ApiModelProperty("总无功功率")
private Double q;
@ApiModelProperty("基波无功功率")
private Double q1;
@ApiModelProperty("2次谐波无功功率")
private Double q2;
@ApiModelProperty("3次谐波无功功率")
private Double q3;
@ApiModelProperty("4次谐波无功功率")
private Double q4;
@ApiModelProperty("5次谐波无功功率")
private Double q5;
@ApiModelProperty("6次谐波无功功率")
private Double q6;
@ApiModelProperty("7次谐波无功功率")
private Double q7;
@ApiModelProperty("8次谐波无功功率")
private Double q8;
private Double q9;
private Double q10;
private Double q11;
private Double q12;
private Double q13;
private Double q14;
private Double q15;
private Double q16;
private Double q17;
private Double q18;
private Double q19;
private Double q20;
private Double q21;
private Double q22;
private Double q23;
private Double q24;
private Double q25;
private Double q26;
private Double q27;
private Double q28;
private Double q29;
private Double q30;
private Double q31;
private Double q32;
private Double q33;
private Double q34;
private Double q35;
private Double q36;
private Double q37;
private Double q38;
private Double q39;
private Double q40;
private Double q41;
private Double q42;
private Double q43;
private Double q44;
private Double q45;
private Double q46;
private Double q47;
private Double q48;
private Double q49;
@ApiModelProperty("50次谐波无功功率")
private Double q50;
}

147
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmPowerSDto.java Normal file
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package com.njcn.dataProcess.pojo.dto;
import com.fasterxml.jackson.annotation.JsonFormat;
import io.swagger.annotations.ApiModelProperty;
import lombok.Data;
import java.io.Serializable;
/**
* @author xy
*/
@Data
public class DataHarmPowerSDto implements Serializable {
@JsonFormat(pattern = "yyyy-MM-dd")
private String time;
@JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
private String minTime;
@ApiModelProperty("监测点Id")
private String lineId;
@ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别")
private String phasicType;
@ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95")
private String valueType;
@ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计")
private String qualityFlag;
@ApiModelProperty("数据清洗标识 0:正常 1:异常")
private Integer abnormalFlag;
@ApiModelProperty("总视在功率")
private Double s;
@ApiModelProperty("基波视在功率")
private Double s1;
@ApiModelProperty("2次谐波视在功率")
private Double s2;
@ApiModelProperty("3次谐波视在功率")
private Double s3;
@ApiModelProperty("4次谐波视在功率")
private Double s4;
@ApiModelProperty("5次谐波视在功率")
private Double s5;
@ApiModelProperty("6次谐波视在功率")
private Double s6;
@ApiModelProperty("7次谐波视在功率")
private Double s7;
@ApiModelProperty("8次谐波视在功率")
private Double s8;
private Double s9;
private Double s10;
private Double s11;
private Double s12;
private Double s13;
private Double s14;
private Double s15;
private Double s16;
private Double s17;
private Double s18;
private Double s19;
private Double s20;
private Double s21;
private Double s22;
private Double s23;
private Double s24;
private Double s25;
private Double s26;
private Double s27;
private Double s28;
private Double s29;
private Double s30;
private Double s31;
private Double s32;
private Double s33;
private Double s34;
private Double s35;
private Double s36;
private Double s37;
private Double s38;
private Double s39;
private Double s40;
private Double s41;
private Double s42;
private Double s43;
private Double s44;
private Double s45;
private Double s46;
private Double s47;
private Double s48;
private Double s49;
@ApiModelProperty("50次谐波视在功率")
private Double s50;
}

145
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmRateIDto.java Normal file
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package com.njcn.dataProcess.pojo.dto;
import com.fasterxml.jackson.annotation.JsonFormat;
import io.swagger.annotations.ApiModelProperty;
import lombok.Data;
import java.io.Serializable;
/**
* @author xy
*/
@Data
public class DataHarmRateIDto implements Serializable {
@JsonFormat(pattern = "yyyy-MM-dd")
private String time;
@JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
private String minTime;
@ApiModelProperty("监测点Id")
private String lineId;
@ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别")
private String phasicType;
@ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95")
private String valueType;
@ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计")
private String qualityFlag;
@ApiModelProperty("数据清洗标识 0:正常 1:异常")
private Integer abnormalFlag;
@ApiModelProperty("基波电流含有率")
private Double i1;
@ApiModelProperty("2次谐波电流含有率")
private Double i2;
@ApiModelProperty("3次谐波电流含有率")
private Double i3;
@ApiModelProperty("4次谐波电流含有率")
private Double i4;
@ApiModelProperty("5次谐波电流含有率")
private Double i5;
@ApiModelProperty("6次谐波电流含有率")
private Double i6;
@ApiModelProperty("7次谐波电流含有率")
private Double i7;
@ApiModelProperty("8次谐波电流含有率")
private Double i8;
private Double i9;
private Double i10;
private Double i11;
private Double i12;
private Double i13;
private Double i14;
private Double i15;
private Double i16;
private Double i17;
private Double i18;
private Double i19;
private Double i20;
private Double i21;
private Double i22;
private Double i23;
private Double i24;
private Double i25;
private Double i26;
private Double i27;
private Double i28;
private Double i29;
private Double i30;
private Double i31;
private Double i32;
private Double i33;
private Double i34;
private Double i35;
private Double i36;
private Double i37;
private Double i38;
private Double i39;
private Double i40;
private Double i41;
private Double i42;
private Double i43;
private Double i44;
private Double i45;
private Double i46;
private Double i47;
private Double i48;
private Double i49;
@ApiModelProperty("50次谐波电流含有率")
private Double i50;
}

145
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataHarmRateVDto.java Normal file
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package com.njcn.dataProcess.pojo.dto;
import com.fasterxml.jackson.annotation.JsonFormat;
import io.swagger.annotations.ApiModelProperty;
import lombok.Data;
import java.io.Serializable;
/**
* @author xy
*/
@Data
public class DataHarmRateVDto implements Serializable {
@JsonFormat(pattern = "yyyy-MM-dd")
private String time;
@JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
private String minTime;
@ApiModelProperty("监测点Id")
private String lineId;
@ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别")
private String phasicType;
@ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95")
private String valueType;
@ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计")
private String qualityFlag;
@ApiModelProperty("数据清洗标识 0:正常 1:异常")
private Integer abnormalFlag;
@ApiModelProperty("基波电压含有率")
private Double v1;
@ApiModelProperty("2次谐波电压含有率")
private Double v2;
@ApiModelProperty("3次谐波电压含有率")
private Double v3;
@ApiModelProperty("4次谐波电压含有率")
private Double v4;
@ApiModelProperty("5次谐波电压含有率")
private Double v5;
@ApiModelProperty("6次谐波电压含有率")
private Double v6;
@ApiModelProperty("7次谐波电压含有率")
private Double v7;
@ApiModelProperty("8次谐波电压含有率")
private Double v8;
private Double v9;
private Double v10;
private Double v11;
private Double v12;
private Double v13;
private Double v14;
private Double v15;
private Double v16;
private Double v17;
private Double v18;
private Double v19;
private Double v20;
private Double v21;
private Double v22;
private Double v23;
private Double v24;
private Double v25;
private Double v26;
private Double v27;
private Double v28;
private Double v29;
private Double v30;
private Double v31;
private Double v32;
private Double v33;
private Double v34;
private Double v35;
private Double v36;
private Double v37;
private Double v38;
private Double v39;
private Double v40;
private Double v41;
private Double v42;
private Double v43;
private Double v44;
private Double v45;
private Double v46;
private Double v47;
private Double v48;
private Double v49;
@ApiModelProperty("50次谐波电压含有率")
private Double v50;
}

145
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataInHarmIDto.java Normal file
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package com.njcn.dataProcess.pojo.dto;
import com.fasterxml.jackson.annotation.JsonFormat;
import io.swagger.annotations.ApiModelProperty;
import lombok.Data;
import java.io.Serializable;
/**
* @author xy
*/
@Data
public class DataInHarmIDto implements Serializable {
@JsonFormat(pattern = "yyyy-MM-dd")
private String time;
@JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
private String minTime;
@ApiModelProperty("监测点Id")
private String lineId;
@ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别")
private String phasicType;
@ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95")
private String valueType;
@ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计")
private String qualityFlag;
@ApiModelProperty("数据清洗标识 0:正常 1:异常")
private Integer abnormalFlag;
@ApiModelProperty("0.5次间谐波电流幅值")
private Double i1;
@ApiModelProperty("1.5次间谐波电流幅值")
private Double i2;
@ApiModelProperty("2.5次间谐波电流幅值")
private Double i3;
@ApiModelProperty("3.5次间谐波电流幅值")
private Double i4;
@ApiModelProperty("4.5次间谐波电流幅值")
private Double i5;
@ApiModelProperty("5.5次间谐波电流幅值")
private Double i6;
@ApiModelProperty("6.5次间谐波电流幅值")
private Double i7;
@ApiModelProperty("7.5次间谐波电流幅值")
private Double i8;
private Double i9;
private Double i10;
private Double i11;
private Double i12;
private Double i13;
private Double i14;
private Double i15;
private Double i16;
private Double i17;
private Double i18;
private Double i19;
private Double i20;
private Double i21;
private Double i22;
private Double i23;
private Double i24;
private Double i25;
private Double i26;
private Double i27;
private Double i28;
private Double i29;
private Double i30;
private Double i31;
private Double i32;
private Double i33;
private Double i34;
private Double i35;
private Double i36;
private Double i37;
private Double i38;
private Double i39;
private Double i40;
private Double i41;
private Double i42;
private Double i43;
private Double i44;
private Double i45;
private Double i46;
private Double i47;
private Double i48;
private Double i49;
@ApiModelProperty("49.5次间谐波电流幅值")
private Double i50;
}

145
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataInHarmVDto.java Normal file
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package com.njcn.dataProcess.pojo.dto;
import com.fasterxml.jackson.annotation.JsonFormat;
import io.swagger.annotations.ApiModelProperty;
import lombok.Data;
import java.io.Serializable;
/**
* @author xy
*/
@Data
public class DataInHarmVDto implements Serializable {
@JsonFormat(pattern = "yyyy-MM-dd")
private String time;
@JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
private String minTime;
@ApiModelProperty("监测点Id")
private String lineId;
@ApiModelProperty("相别,'A'表示A相，'B'表示B相,'C'表示C相,'T'表示总, 'M'表示无相别")
private String phasicType;
@ApiModelProperty("数据类型 最大值：max、最小值：min、平均值：avg、95值：cp95")
private String valueType;
@ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计")
private String qualityFlag;
@ApiModelProperty("数据清洗标识 0:正常 1:异常")
private Integer abnormalFlag;
@ApiModelProperty("0.5次间谐波电压幅值")
private Double v1;
@ApiModelProperty("1.5次间谐波电压幅值")
private Double v2;
@ApiModelProperty("2.5次间谐波电压幅值")
private Double v3;
@ApiModelProperty("3.5次间谐波电压幅值")
private Double v4;
@ApiModelProperty("4.5次间谐波电压幅值")
private Double v5;
@ApiModelProperty("5.5次间谐波电压幅值")
private Double v6;
@ApiModelProperty("6.5次间谐波电压幅值")
private Double v7;
@ApiModelProperty("7.5次间谐波电压幅值")
private Double v8;
private Double v9;
private Double v10;
private Double v11;
private Double v12;
private Double v13;
private Double v14;
private Double v15;
private Double v16;
private Double v17;
private Double v18;
private Double v19;
private Double v20;
private Double v21;
private Double v22;
private Double v23;
private Double v24;
private Double v25;
private Double v26;
private Double v27;
private Double v28;
private Double v29;
private Double v30;
private Double v31;
private Double v32;
private Double v33;
private Double v34;
private Double v35;
private Double v36;
private Double v37;
private Double v38;
private Double v39;
private Double v40;
private Double v41;
private Double v42;
private Double v43;
private Double v44;
private Double v45;
private Double v46;
private Double v47;
private Double v48;
private Double v49;
@ApiModelProperty("49.5次间谐波电压幅值")
private Double v50;
}

50
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataFlickerD.java Normal file
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package com.njcn.dataProcess.pojo.po;
import com.baomidou.mybatisplus.annotation.FieldStrategy;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.io.Serializable;
import java.time.LocalDate;
/**
* 类的介绍：
*
* @author xy
* @version 1.0.0
*/
@Data
@TableName(value = "r_stat_data_flicker_d")
public class RStatDataFlickerD implements Serializable {
@MppMultiId
@TableField(value = "time")
private LocalDate time;
@MppMultiId
@TableField(value = "line_id")
private String lineId;
@MppMultiId
@TableField(value = "phasic_type")
private String phasicType;
@MppMultiId
@TableField(value = "value_type")
private String valueType;
@TableField(value = "quality_flag")
private Integer qualityFlag;
@TableField(value = "fluc",updateStrategy = FieldStrategy.IGNORED)
private Double fluc;
@TableField(value = "plt",updateStrategy = FieldStrategy.IGNORED)
private Double plt;
@TableField(value = "pst",updateStrategy = FieldStrategy.IGNORED)
private Double pst;
}

47
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataFlucD.java Normal file
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package com.njcn.dataProcess.pojo.po;
import com.baomidou.mybatisplus.annotation.FieldStrategy;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.io.Serializable;
import java.time.LocalDate;
/**
* 类的介绍：
*
* @author xy
* @version 1.0.0
*/
@Data
@TableName(value = "r_stat_data_fluc_d")
public class RStatDataFlucD implements Serializable {
@MppMultiId
@TableField(value = "time")
private LocalDate time;
@MppMultiId
@TableField(value = "line_id")
private String lineId;
@MppMultiId
@TableField(value = "phasic_type")
private String phasicType;
@MppMultiId
@TableField(value = "value_type")
private String valueType;
@TableField(value = "quality_flag")
private Integer qualityFlag;
@TableField(value = "fluc",updateStrategy = FieldStrategy.IGNORED)
private Double fluc;
@TableField(value = "fluccf",updateStrategy = FieldStrategy.IGNORED)
private Double fluccf;
}

191
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPhasicID.java Normal file
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package com.njcn.dataProcess.pojo.po;
import com.baomidou.mybatisplus.annotation.FieldStrategy;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.io.Serializable;
import java.time.LocalDate;
/**
* 类的介绍：
*
* @author xy
* @version 1.0.0
*/
@Data
@TableName(value = "R_STAT_DATA_HARMPHASIC_I_D")
public class RStatDataHarmPhasicID implements Serializable {
@MppMultiId
@TableField(value = "time")
private LocalDate time;
@MppMultiId
@TableField(value = "line_id")
private String lineId;
@MppMultiId
@TableField(value = "phasic_type")
private String phasicType;
@MppMultiId
@TableField(value = "value_type")
private String valueType;
@TableField(value = "quality_flag")
private Integer qualityFlag;
@TableField(value = "i_1",updateStrategy = FieldStrategy.IGNORED)
private Double i1;
@TableField(value = "i_2",updateStrategy = FieldStrategy.IGNORED)
private Double i2;
@TableField(value = "i_3",updateStrategy = FieldStrategy.IGNORED)
private Double i3;
@TableField(value = "i_4",updateStrategy = FieldStrategy.IGNORED)
private Double i4;
@TableField(value = "i_5",updateStrategy = FieldStrategy.IGNORED)
private Double i5;
@TableField(value = "i_6",updateStrategy = FieldStrategy.IGNORED)
private Double i6;
@TableField(value = "i_7",updateStrategy = FieldStrategy.IGNORED)
private Double i7;
@TableField(value = "i_8",updateStrategy = FieldStrategy.IGNORED)
private Double i8;
@TableField(value = "i_9",updateStrategy = FieldStrategy.IGNORED)
private Double i9;
@TableField(value = "i_10",updateStrategy = FieldStrategy.IGNORED)
private Double i10;
@TableField(value = "i_11",updateStrategy = FieldStrategy.IGNORED)
private Double i11;
@TableField(value = "i_12",updateStrategy = FieldStrategy.IGNORED)
private Double i12;
@TableField(value = "i_13",updateStrategy = FieldStrategy.IGNORED)
private Double i13;
@TableField(value = "i_14",updateStrategy = FieldStrategy.IGNORED)
private Double i14;
@TableField(value = "i_15",updateStrategy = FieldStrategy.IGNORED)
private Double i15;
@TableField(value = "i_16",updateStrategy = FieldStrategy.IGNORED)
private Double i16;
@TableField(value = "i_17",updateStrategy = FieldStrategy.IGNORED)
private Double i17;
@TableField(value = "i_18",updateStrategy = FieldStrategy.IGNORED)
private Double i18;
@TableField(value = "i_19",updateStrategy = FieldStrategy.IGNORED)
private Double i19;
@TableField(value = "i_20",updateStrategy = FieldStrategy.IGNORED)
private Double i20;
@TableField(value = "i_21",updateStrategy = FieldStrategy.IGNORED)
private Double i21;
@TableField(value = "i_22",updateStrategy = FieldStrategy.IGNORED)
private Double i22;
@TableField(value = "i_23",updateStrategy = FieldStrategy.IGNORED)
private Double i23;
@TableField(value = "i_24",updateStrategy = FieldStrategy.IGNORED)
private Double i24;
@TableField(value = "i_25",updateStrategy = FieldStrategy.IGNORED)
private Double i25;
@TableField(value = "i_26",updateStrategy = FieldStrategy.IGNORED)
private Double i26;
@TableField(value = "i_27",updateStrategy = FieldStrategy.IGNORED)
private Double i27;
@TableField(value = "i_28",updateStrategy = FieldStrategy.IGNORED)
private Double i28;
@TableField(value = "i_29",updateStrategy = FieldStrategy.IGNORED)
private Double i29;
@TableField(value = "i_30",updateStrategy = FieldStrategy.IGNORED)
private Double i30;
@TableField(value = "i_31",updateStrategy = FieldStrategy.IGNORED)
private Double i31;
@TableField(value = "i_32",updateStrategy = FieldStrategy.IGNORED)
private Double i32;
@TableField(value = "i_33",updateStrategy = FieldStrategy.IGNORED)
private Double i33;
@TableField(value = "i_34",updateStrategy = FieldStrategy.IGNORED)
private Double i34;
@TableField(value = "i_35",updateStrategy = FieldStrategy.IGNORED)
private Double i35;
@TableField(value = "i_36",updateStrategy = FieldStrategy.IGNORED)
private Double i36;
@TableField(value = "i_37",updateStrategy = FieldStrategy.IGNORED)
private Double i37;
@TableField(value = "i_38",updateStrategy = FieldStrategy.IGNORED)
private Double i38;
@TableField(value = "i_39",updateStrategy = FieldStrategy.IGNORED)
private Double i39;
@TableField(value = "i_40",updateStrategy = FieldStrategy.IGNORED)
private Double i40;
@TableField(value = "i_41",updateStrategy = FieldStrategy.IGNORED)
private Double i41;
@TableField(value = "i_42",updateStrategy = FieldStrategy.IGNORED)
private Double i42;
@TableField(value = "i_43",updateStrategy = FieldStrategy.IGNORED)
private Double i43;
@TableField(value = "i_44",updateStrategy = FieldStrategy.IGNORED)
private Double i44;
@TableField(value = "i_45",updateStrategy = FieldStrategy.IGNORED)
private Double i45;
@TableField(value = "i_46",updateStrategy = FieldStrategy.IGNORED)
private Double i46;
@TableField(value = "i_47",updateStrategy = FieldStrategy.IGNORED)
private Double i47;
@TableField(value = "i_48",updateStrategy = FieldStrategy.IGNORED)
private Double i48;
@TableField(value = "i_49",updateStrategy = FieldStrategy.IGNORED)
private Double i49;
@TableField(value = "i_50",updateStrategy = FieldStrategy.IGNORED)
private Double i50;
}

191
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPhasicVD.java Normal file
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package com.njcn.dataProcess.pojo.po;
import com.baomidou.mybatisplus.annotation.FieldStrategy;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.io.Serializable;
import java.time.LocalDate;
/**
* 类的介绍：
*
* @author xy
* @version 1.0.0
*/
@Data
@TableName(value = "R_STAT_DATA_HARMPHASIC_V_D")
public class RStatDataHarmPhasicVD implements Serializable {
@MppMultiId
@TableField(value = "time")
private LocalDate time;
@MppMultiId
@TableField(value = "line_id")
private String lineId;
@MppMultiId
@TableField(value = "phasic_type")
private String phasicType;
@MppMultiId
@TableField(value = "value_type")
private String valueType;
@TableField(value = "quality_flag")
private Integer qualityFlag;
@TableField(value = "v_1",updateStrategy = FieldStrategy.IGNORED)
private Double v1;
@TableField(value = "v_2",updateStrategy = FieldStrategy.IGNORED)
private Double v2;
@TableField(value = "v_3",updateStrategy = FieldStrategy.IGNORED)
private Double v3;
@TableField(value = "v_4",updateStrategy = FieldStrategy.IGNORED)
private Double v4;
@TableField(value = "v_5",updateStrategy = FieldStrategy.IGNORED)
private Double v5;
@TableField(value = "v_6",updateStrategy = FieldStrategy.IGNORED)
private Double v6;
@TableField(value = "v_7",updateStrategy = FieldStrategy.IGNORED)
private Double v7;
@TableField(value = "v_8",updateStrategy = FieldStrategy.IGNORED)
private Double v8;
@TableField(value = "v_9",updateStrategy = FieldStrategy.IGNORED)
private Double v9;
@TableField(value = "v_10",updateStrategy = FieldStrategy.IGNORED)
private Double v10;
@TableField(value = "v_11",updateStrategy = FieldStrategy.IGNORED)
private Double v11;
@TableField(value = "v_12",updateStrategy = FieldStrategy.IGNORED)
private Double v12;
@TableField(value = "v_13",updateStrategy = FieldStrategy.IGNORED)
private Double v13;
@TableField(value = "v_14",updateStrategy = FieldStrategy.IGNORED)
private Double v14;
@TableField(value = "v_15",updateStrategy = FieldStrategy.IGNORED)
private Double v15;
@TableField(value = "v_16",updateStrategy = FieldStrategy.IGNORED)
private Double v16;
@TableField(value = "v_17",updateStrategy = FieldStrategy.IGNORED)
private Double v17;
@TableField(value = "v_18",updateStrategy = FieldStrategy.IGNORED)
private Double v18;
@TableField(value = "v_19",updateStrategy = FieldStrategy.IGNORED)
private Double v19;
@TableField(value = "v_20",updateStrategy = FieldStrategy.IGNORED)
private Double v20;
@TableField(value = "v_21",updateStrategy = FieldStrategy.IGNORED)
private Double v21;
@TableField(value = "v_22",updateStrategy = FieldStrategy.IGNORED)
private Double v22;
@TableField(value = "v_23",updateStrategy = FieldStrategy.IGNORED)
private Double v23;
@TableField(value = "v_24",updateStrategy = FieldStrategy.IGNORED)
private Double v24;
@TableField(value = "v_25",updateStrategy = FieldStrategy.IGNORED)
private Double v25;
@TableField(value = "v_26",updateStrategy = FieldStrategy.IGNORED)
private Double v26;
@TableField(value = "v_27",updateStrategy = FieldStrategy.IGNORED)
private Double v27;
@TableField(value = "v_28",updateStrategy = FieldStrategy.IGNORED)
private Double v28;
@TableField(value = "v_29",updateStrategy = FieldStrategy.IGNORED)
private Double v29;
@TableField(value = "v_30",updateStrategy = FieldStrategy.IGNORED)
private Double v30;
@TableField(value = "v_31",updateStrategy = FieldStrategy.IGNORED)
private Double v31;
@TableField(value = "v_32",updateStrategy = FieldStrategy.IGNORED)
private Double v32;
@TableField(value = "v_33",updateStrategy = FieldStrategy.IGNORED)
private Double v33;
@TableField(value = "v_34",updateStrategy = FieldStrategy.IGNORED)
private Double v34;
@TableField(value = "v_35",updateStrategy = FieldStrategy.IGNORED)
private Double v35;
@TableField(value = "v_36",updateStrategy = FieldStrategy.IGNORED)
private Double v36;
@TableField(value = "v_37",updateStrategy = FieldStrategy.IGNORED)
private Double v37;
@TableField(value = "v_38",updateStrategy = FieldStrategy.IGNORED)
private Double v38;
@TableField(value = "v_39",updateStrategy = FieldStrategy.IGNORED)
private Double v39;
@TableField(value = "v_40",updateStrategy = FieldStrategy.IGNORED)
private Double v40;
@TableField(value = "v_41",updateStrategy = FieldStrategy.IGNORED)
private Double v41;
@TableField(value = "v_42",updateStrategy = FieldStrategy.IGNORED)
private Double v42;
@TableField(value = "v_43",updateStrategy = FieldStrategy.IGNORED)
private Double v43;
@TableField(value = "v_44",updateStrategy = FieldStrategy.IGNORED)
private Double v44;
@TableField(value = "v_45",updateStrategy = FieldStrategy.IGNORED)
private Double v45;
@TableField(value = "v_46",updateStrategy = FieldStrategy.IGNORED)
private Double v46;
@TableField(value = "v_47",updateStrategy = FieldStrategy.IGNORED)
private Double v47;
@TableField(value = "v_48",updateStrategy = FieldStrategy.IGNORED)
private Double v48;
@TableField(value = "v_49",updateStrategy = FieldStrategy.IGNORED)
private Double v49;
@TableField(value = "v_50",updateStrategy = FieldStrategy.IGNORED)
private Double v50;
}

200
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPowerPD.java Normal file
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package com.njcn.dataProcess.pojo.po;
import com.baomidou.mybatisplus.annotation.FieldStrategy;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.io.Serializable;
import java.time.LocalDate;
/**
* 类的介绍：
*
* @author xy
* @version 1.0.0
*/
@Data
@TableName(value = "R_STAT_DATA_HARMPOWER_P_D")
public class RStatDataHarmPowerPD implements Serializable {
@MppMultiId
@TableField(value = "time")
private LocalDate time;
@MppMultiId
@TableField(value = "line_id")
private String lineId;
@MppMultiId
@TableField(value = "phasic_type")
private String phasicType;
@MppMultiId
@TableField(value = "value_type")
private String valueType;
@TableField(value = "quality_flag")
private Integer qualityFlag;
@TableField(value = "p",updateStrategy = FieldStrategy.IGNORED)
private Double p;
@TableField(value = "pf",updateStrategy = FieldStrategy.IGNORED)
private Double pf;
@TableField(value = "df",updateStrategy = FieldStrategy.IGNORED)
private Double df;
@TableField(value = "p_1",updateStrategy = FieldStrategy.IGNORED)
private Double p1;
@TableField(value = "p_2",updateStrategy = FieldStrategy.IGNORED)
private Double p2;
@TableField(value = "p_3",updateStrategy = FieldStrategy.IGNORED)
private Double p3;
@TableField(value = "p_4",updateStrategy = FieldStrategy.IGNORED)
private Double p4;
@TableField(value = "p_5",updateStrategy = FieldStrategy.IGNORED)
private Double p5;
@TableField(value = "p_6",updateStrategy = FieldStrategy.IGNORED)
private Double p6;
@TableField(value = "p_7",updateStrategy = FieldStrategy.IGNORED)
private Double p7;
@TableField(value = "p_8",updateStrategy = FieldStrategy.IGNORED)
private Double p8;
@TableField(value = "p_9",updateStrategy = FieldStrategy.IGNORED)
private Double p9;
@TableField(value = "p_10",updateStrategy = FieldStrategy.IGNORED)
private Double p10;
@TableField(value = "p_11",updateStrategy = FieldStrategy.IGNORED)
private Double p11;
@TableField(value = "p_12",updateStrategy = FieldStrategy.IGNORED)
private Double p12;
@TableField(value = "p_13",updateStrategy = FieldStrategy.IGNORED)
private Double p13;
@TableField(value = "p_14",updateStrategy = FieldStrategy.IGNORED)
private Double p14;
@TableField(value = "p_15",updateStrategy = FieldStrategy.IGNORED)
private Double p15;
@TableField(value = "p_16",updateStrategy = FieldStrategy.IGNORED)
private Double p16;
@TableField(value = "p_17",updateStrategy = FieldStrategy.IGNORED)
private Double p17;
@TableField(value = "p_18",updateStrategy = FieldStrategy.IGNORED)
private Double p18;
@TableField(value = "p_19",updateStrategy = FieldStrategy.IGNORED)
private Double p19;
@TableField(value = "p_20",updateStrategy = FieldStrategy.IGNORED)
private Double p20;
@TableField(value = "p_21",updateStrategy = FieldStrategy.IGNORED)
private Double p21;
@TableField(value = "p_22",updateStrategy = FieldStrategy.IGNORED)
private Double p22;
@TableField(value = "p_23",updateStrategy = FieldStrategy.IGNORED)
private Double p23;
@TableField(value = "p_24",updateStrategy = FieldStrategy.IGNORED)
private Double p24;
@TableField(value = "p_25",updateStrategy = FieldStrategy.IGNORED)
private Double p25;
@TableField(value = "p_26",updateStrategy = FieldStrategy.IGNORED)
private Double p26;
@TableField(value = "p_27",updateStrategy = FieldStrategy.IGNORED)
private Double p27;
@TableField(value = "p_28",updateStrategy = FieldStrategy.IGNORED)
private Double p28;
@TableField(value = "p_29",updateStrategy = FieldStrategy.IGNORED)
private Double p29;
@TableField(value = "p_30",updateStrategy = FieldStrategy.IGNORED)
private Double p30;
@TableField(value = "p_31",updateStrategy = FieldStrategy.IGNORED)
private Double p31;
@TableField(value = "p_32",updateStrategy = FieldStrategy.IGNORED)
private Double p32;
@TableField(value = "p_33",updateStrategy = FieldStrategy.IGNORED)
private Double p33;
@TableField(value = "p_34",updateStrategy = FieldStrategy.IGNORED)
private Double p34;
@TableField(value = "p_35",updateStrategy = FieldStrategy.IGNORED)
private Double p35;
@TableField(value = "p_36",updateStrategy = FieldStrategy.IGNORED)
private Double p36;
@TableField(value = "p_37",updateStrategy = FieldStrategy.IGNORED)
private Double p37;
@TableField(value = "p_38",updateStrategy = FieldStrategy.IGNORED)
private Double p38;
@TableField(value = "p_39",updateStrategy = FieldStrategy.IGNORED)
private Double p39;
@TableField(value = "p_40",updateStrategy = FieldStrategy.IGNORED)
private Double p40;
@TableField(value = "p_41",updateStrategy = FieldStrategy.IGNORED)
private Double p41;
@TableField(value = "p_42",updateStrategy = FieldStrategy.IGNORED)
private Double p42;
@TableField(value = "p_43",updateStrategy = FieldStrategy.IGNORED)
private Double p43;
@TableField(value = "p_44",updateStrategy = FieldStrategy.IGNORED)
private Double p44;
@TableField(value = "p_45",updateStrategy = FieldStrategy.IGNORED)
private Double p45;
@TableField(value = "p_46",updateStrategy = FieldStrategy.IGNORED)
private Double p46;
@TableField(value = "p_47",updateStrategy = FieldStrategy.IGNORED)
private Double p47;
@TableField(value = "p_48",updateStrategy = FieldStrategy.IGNORED)
private Double p48;
@TableField(value = "p_49",updateStrategy = FieldStrategy.IGNORED)
private Double p49;
@TableField(value = "p_50",updateStrategy = FieldStrategy.IGNORED)
private Double p50;
}

194
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPowerQD.java Normal file
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package com.njcn.dataProcess.pojo.po;
import com.baomidou.mybatisplus.annotation.FieldStrategy;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.io.Serializable;
import java.time.LocalDate;
/**
* 类的介绍：
*
* @author xy
* @version 1.0.0
*/
@Data
@TableName(value = "R_STAT_DATA_HARMPOWER_Q_D")
public class RStatDataHarmPowerQD implements Serializable {
@MppMultiId
@TableField(value = "time")
private LocalDate time;
@MppMultiId
@TableField(value = "line_id")
private String lineId;
@MppMultiId
@TableField(value = "phasic_type")
private String phasicType;
@MppMultiId
@TableField(value = "value_type")
private String valueType;
@TableField(value = "quality_flag")
private Integer qualityFlag;
@TableField(value = "q",updateStrategy = FieldStrategy.IGNORED)
private Double q;
@TableField(value = "q_1",updateStrategy = FieldStrategy.IGNORED)
private Double q1;
@TableField(value = "q_2",updateStrategy = FieldStrategy.IGNORED)
private Double q2;
@TableField(value = "q_3",updateStrategy = FieldStrategy.IGNORED)
private Double q3;
@TableField(value = "q_4",updateStrategy = FieldStrategy.IGNORED)
private Double q4;
@TableField(value = "q_5",updateStrategy = FieldStrategy.IGNORED)
private Double q5;
@TableField(value = "q_6",updateStrategy = FieldStrategy.IGNORED)
private Double q6;
@TableField(value = "q_7",updateStrategy = FieldStrategy.IGNORED)
private Double q7;
@TableField(value = "q_8",updateStrategy = FieldStrategy.IGNORED)
private Double q8;
@TableField(value = "q_9",updateStrategy = FieldStrategy.IGNORED)
private Double q9;
@TableField(value = "q_10",updateStrategy = FieldStrategy.IGNORED)
private Double q10;
@TableField(value = "q_11",updateStrategy = FieldStrategy.IGNORED)
private Double q11;
@TableField(value = "q_12",updateStrategy = FieldStrategy.IGNORED)
private Double q12;
@TableField(value = "q_13",updateStrategy = FieldStrategy.IGNORED)
private Double q13;
@TableField(value = "q_14",updateStrategy = FieldStrategy.IGNORED)
private Double q14;
@TableField(value = "q_15",updateStrategy = FieldStrategy.IGNORED)
private Double q15;
@TableField(value = "q_16",updateStrategy = FieldStrategy.IGNORED)
private Double q16;
@TableField(value = "q_17",updateStrategy = FieldStrategy.IGNORED)
private Double q17;
@TableField(value = "q_18",updateStrategy = FieldStrategy.IGNORED)
private Double q18;
@TableField(value = "q_19",updateStrategy = FieldStrategy.IGNORED)
private Double q19;
@TableField(value = "q_20",updateStrategy = FieldStrategy.IGNORED)
private Double q20;
@TableField(value = "q_21",updateStrategy = FieldStrategy.IGNORED)
private Double q21;
@TableField(value = "q_22",updateStrategy = FieldStrategy.IGNORED)
private Double q22;
@TableField(value = "q_23",updateStrategy = FieldStrategy.IGNORED)
private Double q23;
@TableField(value = "q_24",updateStrategy = FieldStrategy.IGNORED)
private Double q24;
@TableField(value = "q_25",updateStrategy = FieldStrategy.IGNORED)
private Double q25;
@TableField(value = "q_26",updateStrategy = FieldStrategy.IGNORED)
private Double q26;
@TableField(value = "q_27",updateStrategy = FieldStrategy.IGNORED)
private Double q27;
@TableField(value = "q_28",updateStrategy = FieldStrategy.IGNORED)
private Double q28;
@TableField(value = "q_29",updateStrategy = FieldStrategy.IGNORED)
private Double q29;
@TableField(value = "q_30",updateStrategy = FieldStrategy.IGNORED)
private Double q30;
@TableField(value = "q_31",updateStrategy = FieldStrategy.IGNORED)
private Double q31;
@TableField(value = "q_32",updateStrategy = FieldStrategy.IGNORED)
private Double q32;
@TableField(value = "q_33",updateStrategy = FieldStrategy.IGNORED)
private Double q33;
@TableField(value = "q_34",updateStrategy = FieldStrategy.IGNORED)
private Double q34;
@TableField(value = "q_35",updateStrategy = FieldStrategy.IGNORED)
private Double q35;
@TableField(value = "q_36",updateStrategy = FieldStrategy.IGNORED)
private Double q36;
@TableField(value = "q_37",updateStrategy = FieldStrategy.IGNORED)
private Double q37;
@TableField(value = "q_38",updateStrategy = FieldStrategy.IGNORED)
private Double q38;
@TableField(value = "q_39",updateStrategy = FieldStrategy.IGNORED)
private Double q39;
@TableField(value = "q_40",updateStrategy = FieldStrategy.IGNORED)
private Double q40;
@TableField(value = "q_41",updateStrategy = FieldStrategy.IGNORED)
private Double q41;
@TableField(value = "q_42",updateStrategy = FieldStrategy.IGNORED)
private Double q42;
@TableField(value = "q_43",updateStrategy = FieldStrategy.IGNORED)
private Double q43;
@TableField(value = "q_44",updateStrategy = FieldStrategy.IGNORED)
private Double q44;
@TableField(value = "q_45",updateStrategy = FieldStrategy.IGNORED)
private Double q45;
@TableField(value = "q_46",updateStrategy = FieldStrategy.IGNORED)
private Double q46;
@TableField(value = "q_47",updateStrategy = FieldStrategy.IGNORED)
private Double q47;
@TableField(value = "q_48",updateStrategy = FieldStrategy.IGNORED)
private Double q48;
@TableField(value = "q_49",updateStrategy = FieldStrategy.IGNORED)
private Double q49;
@TableField(value = "q_50",updateStrategy = FieldStrategy.IGNORED)
private Double q50;
}

191
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmPowerSD.java Normal file
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package com.njcn.dataProcess.pojo.po;
import com.baomidou.mybatisplus.annotation.FieldStrategy;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.io.Serializable;
import java.time.LocalDate;
/**
* 类的介绍：
*
* @author xy
* @version 1.0.0
*/
@Data
@TableName(value = "R_STAT_DATA_HARMPOWER_S_D")
public class RStatDataHarmPowerSD implements Serializable {
@MppMultiId
@TableField(value = "time")
private LocalDate time;
@MppMultiId
@TableField(value = "line_id")
private String lineId;
@MppMultiId
@TableField(value = "phasic_type")
private String phasicType;
@MppMultiId
@TableField(value = "value_type")
private String valueType;
@TableField(value = "quality_flag")
private Integer qualityFlag;
@TableField(value = "s_1",updateStrategy = FieldStrategy.IGNORED)
private Double s1;
@TableField(value = "s_2",updateStrategy = FieldStrategy.IGNORED)
private Double s2;
@TableField(value = "s_3",updateStrategy = FieldStrategy.IGNORED)
private Double s3;
@TableField(value = "s_4",updateStrategy = FieldStrategy.IGNORED)
private Double s4;
@TableField(value = "s_5",updateStrategy = FieldStrategy.IGNORED)
private Double s5;
@TableField(value = "s_6",updateStrategy = FieldStrategy.IGNORED)
private Double s6;
@TableField(value = "s_7",updateStrategy = FieldStrategy.IGNORED)
private Double s7;
@TableField(value = "s_8",updateStrategy = FieldStrategy.IGNORED)
private Double s8;
@TableField(value = "s_9",updateStrategy = FieldStrategy.IGNORED)
private Double s9;
@TableField(value = "s_10",updateStrategy = FieldStrategy.IGNORED)
private Double s10;
@TableField(value = "s_11",updateStrategy = FieldStrategy.IGNORED)
private Double s11;
@TableField(value = "s_12",updateStrategy = FieldStrategy.IGNORED)
private Double s12;
@TableField(value = "s_13",updateStrategy = FieldStrategy.IGNORED)
private Double s13;
@TableField(value = "s_14",updateStrategy = FieldStrategy.IGNORED)
private Double s14;
@TableField(value = "s_15",updateStrategy = FieldStrategy.IGNORED)
private Double s15;
@TableField(value = "s_16",updateStrategy = FieldStrategy.IGNORED)
private Double s16;
@TableField(value = "s_17",updateStrategy = FieldStrategy.IGNORED)
private Double s17;
@TableField(value = "s_18",updateStrategy = FieldStrategy.IGNORED)
private Double s18;
@TableField(value = "s_19",updateStrategy = FieldStrategy.IGNORED)
private Double s19;
@TableField(value = "s_20",updateStrategy = FieldStrategy.IGNORED)
private Double s20;
@TableField(value = "s_21",updateStrategy = FieldStrategy.IGNORED)
private Double s21;
@TableField(value = "s_22",updateStrategy = FieldStrategy.IGNORED)
private Double s22;
@TableField(value = "s_23",updateStrategy = FieldStrategy.IGNORED)
private Double s23;
@TableField(value = "s_24",updateStrategy = FieldStrategy.IGNORED)
private Double s24;
@TableField(value = "s_25",updateStrategy = FieldStrategy.IGNORED)
private Double s25;
@TableField(value = "s_26",updateStrategy = FieldStrategy.IGNORED)
private Double s26;
@TableField(value = "s_27",updateStrategy = FieldStrategy.IGNORED)
private Double s27;
@TableField(value = "s_28",updateStrategy = FieldStrategy.IGNORED)
private Double s28;
@TableField(value = "s_29",updateStrategy = FieldStrategy.IGNORED)
private Double s29;
@TableField(value = "s_30",updateStrategy = FieldStrategy.IGNORED)
private Double s30;
@TableField(value = "s_31",updateStrategy = FieldStrategy.IGNORED)
private Double s31;
@TableField(value = "s_32",updateStrategy = FieldStrategy.IGNORED)
private Double s32;
@TableField(value = "s_33",updateStrategy = FieldStrategy.IGNORED)
private Double s33;
@TableField(value = "s_34",updateStrategy = FieldStrategy.IGNORED)
private Double s34;
@TableField(value = "s_35",updateStrategy = FieldStrategy.IGNORED)
private Double s35;
@TableField(value = "s_36",updateStrategy = FieldStrategy.IGNORED)
private Double s36;
@TableField(value = "s_37",updateStrategy = FieldStrategy.IGNORED)
private Double s37;
@TableField(value = "s_38",updateStrategy = FieldStrategy.IGNORED)
private Double s38;
@TableField(value = "s_39",updateStrategy = FieldStrategy.IGNORED)
private Double s39;
@TableField(value = "s_40",updateStrategy = FieldStrategy.IGNORED)
private Double s40;
@TableField(value = "s_41",updateStrategy = FieldStrategy.IGNORED)
private Double s41;
@TableField(value = "s_42",updateStrategy = FieldStrategy.IGNORED)
private Double s42;
@TableField(value = "s_43",updateStrategy = FieldStrategy.IGNORED)
private Double s43;
@TableField(value = "s_44",updateStrategy = FieldStrategy.IGNORED)
private Double s44;
@TableField(value = "s_45",updateStrategy = FieldStrategy.IGNORED)
private Double s45;
@TableField(value = "s_46",updateStrategy = FieldStrategy.IGNORED)
private Double s46;
@TableField(value = "s_47",updateStrategy = FieldStrategy.IGNORED)
private Double s47;
@TableField(value = "s_48",updateStrategy = FieldStrategy.IGNORED)
private Double s48;
@TableField(value = "s_49",updateStrategy = FieldStrategy.IGNORED)
private Double s49;
@TableField(value = "s_50",updateStrategy = FieldStrategy.IGNORED)
private Double s50;
}

191
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmRateID.java Normal file
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package com.njcn.dataProcess.pojo.po;
import com.baomidou.mybatisplus.annotation.FieldStrategy;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.io.Serializable;
import java.time.LocalDate;
/**
* 类的介绍：
*
* @author xy
* @version 1.0.0
*/
@Data
@TableName(value = "R_STAT_DATA_HARMRATE_I_D")
public class RStatDataHarmRateID implements Serializable {
@MppMultiId
@TableField(value = "time")
private LocalDate time;
@MppMultiId
@TableField(value = "line_id")
private String lineId;
@MppMultiId
@TableField(value = "phasic_type")
private String phasicType;
@MppMultiId
@TableField(value = "value_type")
private String valueType;
@TableField(value = "quality_flag")
private Integer qualityFlag;
@TableField(value = "i_1",updateStrategy = FieldStrategy.IGNORED)
private Double i1;
@TableField(value = "i_2",updateStrategy = FieldStrategy.IGNORED)
private Double i2;
@TableField(value = "i_3",updateStrategy = FieldStrategy.IGNORED)
private Double i3;
@TableField(value = "i_4",updateStrategy = FieldStrategy.IGNORED)
private Double i4;
@TableField(value = "i_5",updateStrategy = FieldStrategy.IGNORED)
private Double i5;
@TableField(value = "i_6",updateStrategy = FieldStrategy.IGNORED)
private Double i6;
@TableField(value = "i_7",updateStrategy = FieldStrategy.IGNORED)
private Double i7;
@TableField(value = "i_8",updateStrategy = FieldStrategy.IGNORED)
private Double i8;
@TableField(value = "i_9",updateStrategy = FieldStrategy.IGNORED)
private Double i9;
@TableField(value = "i_10",updateStrategy = FieldStrategy.IGNORED)
private Double i10;
@TableField(value = "i_11",updateStrategy = FieldStrategy.IGNORED)
private Double i11;
@TableField(value = "i_12",updateStrategy = FieldStrategy.IGNORED)
private Double i12;
@TableField(value = "i_13",updateStrategy = FieldStrategy.IGNORED)
private Double i13;
@TableField(value = "i_14",updateStrategy = FieldStrategy.IGNORED)
private Double i14;
@TableField(value = "i_15",updateStrategy = FieldStrategy.IGNORED)
private Double i15;
@TableField(value = "i_16",updateStrategy = FieldStrategy.IGNORED)
private Double i16;
@TableField(value = "i_17",updateStrategy = FieldStrategy.IGNORED)
private Double i17;
@TableField(value = "i_18",updateStrategy = FieldStrategy.IGNORED)
private Double i18;
@TableField(value = "i_19",updateStrategy = FieldStrategy.IGNORED)
private Double i19;
@TableField(value = "i_20",updateStrategy = FieldStrategy.IGNORED)
private Double i20;
@TableField(value = "i_21",updateStrategy = FieldStrategy.IGNORED)
private Double i21;
@TableField(value = "i_22",updateStrategy = FieldStrategy.IGNORED)
private Double i22;
@TableField(value = "i_23",updateStrategy = FieldStrategy.IGNORED)
private Double i23;
@TableField(value = "i_24",updateStrategy = FieldStrategy.IGNORED)
private Double i24;
@TableField(value = "i_25",updateStrategy = FieldStrategy.IGNORED)
private Double i25;
@TableField(value = "i_26",updateStrategy = FieldStrategy.IGNORED)
private Double i26;
@TableField(value = "i_27",updateStrategy = FieldStrategy.IGNORED)
private Double i27;
@TableField(value = "i_28",updateStrategy = FieldStrategy.IGNORED)
private Double i28;
@TableField(value = "i_29",updateStrategy = FieldStrategy.IGNORED)
private Double i29;
@TableField(value = "i_30",updateStrategy = FieldStrategy.IGNORED)
private Double i30;
@TableField(value = "i_31",updateStrategy = FieldStrategy.IGNORED)
private Double i31;
@TableField(value = "i_32",updateStrategy = FieldStrategy.IGNORED)
private Double i32;
@TableField(value = "i_33",updateStrategy = FieldStrategy.IGNORED)
private Double i33;
@TableField(value = "i_34",updateStrategy = FieldStrategy.IGNORED)
private Double i34;
@TableField(value = "i_35",updateStrategy = FieldStrategy.IGNORED)
private Double i35;
@TableField(value = "i_36",updateStrategy = FieldStrategy.IGNORED)
private Double i36;
@TableField(value = "i_37",updateStrategy = FieldStrategy.IGNORED)
private Double i37;
@TableField(value = "i_38",updateStrategy = FieldStrategy.IGNORED)
private Double i38;
@TableField(value = "i_39",updateStrategy = FieldStrategy.IGNORED)
private Double i39;
@TableField(value = "i_40",updateStrategy = FieldStrategy.IGNORED)
private Double i40;
@TableField(value = "i_41",updateStrategy = FieldStrategy.IGNORED)
private Double i41;
@TableField(value = "i_42",updateStrategy = FieldStrategy.IGNORED)
private Double i42;
@TableField(value = "i_43",updateStrategy = FieldStrategy.IGNORED)
private Double i43;
@TableField(value = "i_44",updateStrategy = FieldStrategy.IGNORED)
private Double i44;
@TableField(value = "i_45",updateStrategy = FieldStrategy.IGNORED)
private Double i45;
@TableField(value = "i_46",updateStrategy = FieldStrategy.IGNORED)
private Double i46;
@TableField(value = "i_47",updateStrategy = FieldStrategy.IGNORED)
private Double i47;
@TableField(value = "i_48",updateStrategy = FieldStrategy.IGNORED)
private Double i48;
@TableField(value = "i_49",updateStrategy = FieldStrategy.IGNORED)
private Double i49;
@TableField(value = "i_50",updateStrategy = FieldStrategy.IGNORED)
private Double i50;
}

191
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataHarmRateVD.java Normal file
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package com.njcn.dataProcess.pojo.po;
import com.baomidou.mybatisplus.annotation.FieldStrategy;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.io.Serializable;
import java.time.LocalDate;
/**
* 类的介绍：
*
* @author xy
* @version 1.0.0
*/
@Data
@TableName(value = "R_STAT_DATA_HARMRATE_V_D")
public class RStatDataHarmRateVD implements Serializable {
@MppMultiId
@TableField(value = "time")
private LocalDate time;
@MppMultiId
@TableField(value = "line_id")
private String lineId;
@MppMultiId
@TableField(value = "phasic_type")
private String phasicType;
@MppMultiId
@TableField(value = "value_type")
private String valueType;
@TableField(value = "quality_flag")
private Integer qualityFlag;
@TableField(value = "v_1",updateStrategy = FieldStrategy.IGNORED)
private Double v1;
@TableField(value = "v_2",updateStrategy = FieldStrategy.IGNORED)
private Double v2;
@TableField(value = "v_3",updateStrategy = FieldStrategy.IGNORED)
private Double v3;
@TableField(value = "v_4",updateStrategy = FieldStrategy.IGNORED)
private Double v4;
@TableField(value = "v_5",updateStrategy = FieldStrategy.IGNORED)
private Double v5;
@TableField(value = "v_6",updateStrategy = FieldStrategy.IGNORED)
private Double v6;
@TableField(value = "v_7",updateStrategy = FieldStrategy.IGNORED)
private Double v7;
@TableField(value = "v_8",updateStrategy = FieldStrategy.IGNORED)
private Double v8;
@TableField(value = "v_9",updateStrategy = FieldStrategy.IGNORED)
private Double v9;
@TableField(value = "v_10",updateStrategy = FieldStrategy.IGNORED)
private Double v10;
@TableField(value = "v_11",updateStrategy = FieldStrategy.IGNORED)
private Double v11;
@TableField(value = "v_12",updateStrategy = FieldStrategy.IGNORED)
private Double v12;
@TableField(value = "v_13",updateStrategy = FieldStrategy.IGNORED)
private Double v13;
@TableField(value = "v_14",updateStrategy = FieldStrategy.IGNORED)
private Double v14;
@TableField(value = "v_15",updateStrategy = FieldStrategy.IGNORED)
private Double v15;
@TableField(value = "v_16",updateStrategy = FieldStrategy.IGNORED)
private Double v16;
@TableField(value = "v_17",updateStrategy = FieldStrategy.IGNORED)
private Double v17;
@TableField(value = "v_18",updateStrategy = FieldStrategy.IGNORED)
private Double v18;
@TableField(value = "v_19",updateStrategy = FieldStrategy.IGNORED)
private Double v19;
@TableField(value = "v_20",updateStrategy = FieldStrategy.IGNORED)
private Double v20;
@TableField(value = "v_21",updateStrategy = FieldStrategy.IGNORED)
private Double v21;
@TableField(value = "v_22",updateStrategy = FieldStrategy.IGNORED)
private Double v22;
@TableField(value = "v_23",updateStrategy = FieldStrategy.IGNORED)
private Double v23;
@TableField(value = "v_24",updateStrategy = FieldStrategy.IGNORED)
private Double v24;
@TableField(value = "v_25",updateStrategy = FieldStrategy.IGNORED)
private Double v25;
@TableField(value = "v_26",updateStrategy = FieldStrategy.IGNORED)
private Double v26;
@TableField(value = "v_27",updateStrategy = FieldStrategy.IGNORED)
private Double v27;
@TableField(value = "v_28",updateStrategy = FieldStrategy.IGNORED)
private Double v28;
@TableField(value = "v_29",updateStrategy = FieldStrategy.IGNORED)
private Double v29;
@TableField(value = "v_30",updateStrategy = FieldStrategy.IGNORED)
private Double v30;
@TableField(value = "v_31",updateStrategy = FieldStrategy.IGNORED)
private Double v31;
@TableField(value = "v_32",updateStrategy = FieldStrategy.IGNORED)
private Double v32;
@TableField(value = "v_33",updateStrategy = FieldStrategy.IGNORED)
private Double v33;
@TableField(value = "v_34",updateStrategy = FieldStrategy.IGNORED)
private Double v34;
@TableField(value = "v_35",updateStrategy = FieldStrategy.IGNORED)
private Double v35;
@TableField(value = "v_36",updateStrategy = FieldStrategy.IGNORED)
private Double v36;
@TableField(value = "v_37",updateStrategy = FieldStrategy.IGNORED)
private Double v37;
@TableField(value = "v_38",updateStrategy = FieldStrategy.IGNORED)
private Double v38;
@TableField(value = "v_39",updateStrategy = FieldStrategy.IGNORED)
private Double v39;
@TableField(value = "v_40",updateStrategy = FieldStrategy.IGNORED)
private Double v40;
@TableField(value = "v_41",updateStrategy = FieldStrategy.IGNORED)
private Double v41;
@TableField(value = "v_42",updateStrategy = FieldStrategy.IGNORED)
private Double v42;
@TableField(value = "v_43",updateStrategy = FieldStrategy.IGNORED)
private Double v43;
@TableField(value = "v_44",updateStrategy = FieldStrategy.IGNORED)
private Double v44;
@TableField(value = "v_45",updateStrategy = FieldStrategy.IGNORED)
private Double v45;
@TableField(value = "v_46",updateStrategy = FieldStrategy.IGNORED)
private Double v46;
@TableField(value = "v_47",updateStrategy = FieldStrategy.IGNORED)
private Double v47;
@TableField(value = "v_48",updateStrategy = FieldStrategy.IGNORED)
private Double v48;
@TableField(value = "v_49",updateStrategy = FieldStrategy.IGNORED)
private Double v49;
@TableField(value = "v_50",updateStrategy = FieldStrategy.IGNORED)
private Double v50;
}

209
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataID.java Normal file
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package com.njcn.dataProcess.pojo.po;
import com.baomidou.mybatisplus.annotation.FieldStrategy;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.io.Serializable;
import java.time.LocalDate;
/**
* 类的介绍：
*
* @author xy
* @version 1.0.0
*/
@Data
@TableName(value = "r_stat_data_i_d")
public class RStatDataID implements Serializable {
@MppMultiId
@TableField(value = "time")
private LocalDate time;
@MppMultiId
@TableField(value = "line_id")
private String lineId;
@MppMultiId
@TableField(value = "phasic_type")
private String phasicType;
@MppMultiId
@TableField(value = "value_type")
private String valueType;
@TableField(value = "quality_flag")
private Integer qualityFlag;
@TableField(value = "i_neg",updateStrategy = FieldStrategy.IGNORED)
private Double iNeg;
@TableField(value = "i_pos",updateStrategy = FieldStrategy.IGNORED)
private Double iPos;
@TableField(value = "i_thd",updateStrategy = FieldStrategy.IGNORED)
private Double iThd;
@TableField(value = "i_unbalance",updateStrategy = FieldStrategy.IGNORED)
private Double iUnbalance;
@TableField(value = "i_zero",updateStrategy = FieldStrategy.IGNORED)
private Double iZero;
@TableField(value = "rms",updateStrategy = FieldStrategy.IGNORED)
private Double rms;
@TableField(value = "i_1",updateStrategy = FieldStrategy.IGNORED)
private Double i1;
@TableField(value = "i_2",updateStrategy = FieldStrategy.IGNORED)
private Double i2;
@TableField(value = "i_3",updateStrategy = FieldStrategy.IGNORED)
private Double i3;
@TableField(value = "i_4",updateStrategy = FieldStrategy.IGNORED)
private Double i4;
@TableField(value = "i_5",updateStrategy = FieldStrategy.IGNORED)
private Double i5;
@TableField(value = "i_6",updateStrategy = FieldStrategy.IGNORED)
private Double i6;
@TableField(value = "i_7",updateStrategy = FieldStrategy.IGNORED)
private Double i7;
@TableField(value = "i_8",updateStrategy = FieldStrategy.IGNORED)
private Double i8;
@TableField(value = "i_9",updateStrategy = FieldStrategy.IGNORED)
private Double i9;
@TableField(value = "i_10",updateStrategy = FieldStrategy.IGNORED)
private Double i10;
@TableField(value = "i_11",updateStrategy = FieldStrategy.IGNORED)
private Double i11;
@TableField(value = "i_12",updateStrategy = FieldStrategy.IGNORED)
private Double i12;
@TableField(value = "i_13",updateStrategy = FieldStrategy.IGNORED)
private Double i13;
@TableField(value = "i_14",updateStrategy = FieldStrategy.IGNORED)
private Double i14;
@TableField(value = "i_15",updateStrategy = FieldStrategy.IGNORED)
private Double i15;
@TableField(value = "i_16",updateStrategy = FieldStrategy.IGNORED)
private Double i16;
@TableField(value = "i_17",updateStrategy = FieldStrategy.IGNORED)
private Double i17;
@TableField(value = "i_18",updateStrategy = FieldStrategy.IGNORED)
private Double i18;
@TableField(value = "i_19",updateStrategy = FieldStrategy.IGNORED)
private Double i19;
@TableField(value = "i_20",updateStrategy = FieldStrategy.IGNORED)
private Double i20;
@TableField(value = "i_21",updateStrategy = FieldStrategy.IGNORED)
private Double i21;
@TableField(value = "i_22",updateStrategy = FieldStrategy.IGNORED)
private Double i22;
@TableField(value = "i_23",updateStrategy = FieldStrategy.IGNORED)
private Double i23;
@TableField(value = "i_24",updateStrategy = FieldStrategy.IGNORED)
private Double i24;
@TableField(value = "i_25",updateStrategy = FieldStrategy.IGNORED)
private Double i25;
@TableField(value = "i_26",updateStrategy = FieldStrategy.IGNORED)
private Double i26;
@TableField(value = "i_27",updateStrategy = FieldStrategy.IGNORED)
private Double i27;
@TableField(value = "i_28",updateStrategy = FieldStrategy.IGNORED)
private Double i28;
@TableField(value = "i_29",updateStrategy = FieldStrategy.IGNORED)
private Double i29;
@TableField(value = "i_30",updateStrategy = FieldStrategy.IGNORED)
private Double i30;
@TableField(value = "i_31",updateStrategy = FieldStrategy.IGNORED)
private Double i31;
@TableField(value = "i_32",updateStrategy = FieldStrategy.IGNORED)
private Double i32;
@TableField(value = "i_33",updateStrategy = FieldStrategy.IGNORED)
private Double i33;
@TableField(value = "i_34",updateStrategy = FieldStrategy.IGNORED)
private Double i34;
@TableField(value = "i_35",updateStrategy = FieldStrategy.IGNORED)
private Double i35;
@TableField(value = "i_36",updateStrategy = FieldStrategy.IGNORED)
private Double i36;
@TableField(value = "i_37",updateStrategy = FieldStrategy.IGNORED)
private Double i37;
@TableField(value = "i_38",updateStrategy = FieldStrategy.IGNORED)
private Double i38;
@TableField(value = "i_39",updateStrategy = FieldStrategy.IGNORED)
private Double i39;
@TableField(value = "i_40",updateStrategy = FieldStrategy.IGNORED)
private Double i40;
@TableField(value = "i_41",updateStrategy = FieldStrategy.IGNORED)
private Double i41;
@TableField(value = "i_42",updateStrategy = FieldStrategy.IGNORED)
private Double i42;
@TableField(value = "i_43",updateStrategy = FieldStrategy.IGNORED)
private Double i43;
@TableField(value = "i_44",updateStrategy = FieldStrategy.IGNORED)
private Double i44;
@TableField(value = "i_45",updateStrategy = FieldStrategy.IGNORED)
private Double i45;
@TableField(value = "i_46",updateStrategy = FieldStrategy.IGNORED)
private Double i46;
@TableField(value = "i_47",updateStrategy = FieldStrategy.IGNORED)
private Double i47;
@TableField(value = "i_48",updateStrategy = FieldStrategy.IGNORED)
private Double i48;
@TableField(value = "i_49",updateStrategy = FieldStrategy.IGNORED)
private Double i49;
@TableField(value = "i_50",updateStrategy = FieldStrategy.IGNORED)
private Double i50;
}

191
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataInHarmID.java Normal file
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package com.njcn.dataProcess.pojo.po;
import com.baomidou.mybatisplus.annotation.FieldStrategy;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.io.Serializable;
import java.time.LocalDate;
/**
* 类的介绍：
*
* @author xy
* @version 1.0.0
*/
@Data
@TableName(value = "R_STAT_DATA_INHARM_I_D")
public class RStatDataInHarmID implements Serializable {
@MppMultiId
@TableField(value = "time")
private LocalDate time;
@MppMultiId
@TableField(value = "line_id")
private String lineId;
@MppMultiId
@TableField(value = "phasic_type")
private String phasicType;
@MppMultiId
@TableField(value = "value_type")
private String valueType;
@TableField(value = "quality_flag")
private Integer qualityFlag;
@TableField(value = "i_1",updateStrategy = FieldStrategy.IGNORED)
private Double i1;
@TableField(value = "i_2",updateStrategy = FieldStrategy.IGNORED)
private Double i2;
@TableField(value = "i_3",updateStrategy = FieldStrategy.IGNORED)
private Double i3;
@TableField(value = "i_4",updateStrategy = FieldStrategy.IGNORED)
private Double i4;
@TableField(value = "i_5",updateStrategy = FieldStrategy.IGNORED)
private Double i5;
@TableField(value = "i_6",updateStrategy = FieldStrategy.IGNORED)
private Double i6;
@TableField(value = "i_7",updateStrategy = FieldStrategy.IGNORED)
private Double i7;
@TableField(value = "i_8",updateStrategy = FieldStrategy.IGNORED)
private Double i8;
@TableField(value = "i_9",updateStrategy = FieldStrategy.IGNORED)
private Double i9;
@TableField(value = "i_10",updateStrategy = FieldStrategy.IGNORED)
private Double i10;
@TableField(value = "i_11",updateStrategy = FieldStrategy.IGNORED)
private Double i11;
@TableField(value = "i_12",updateStrategy = FieldStrategy.IGNORED)
private Double i12;
@TableField(value = "i_13",updateStrategy = FieldStrategy.IGNORED)
private Double i13;
@TableField(value = "i_14",updateStrategy = FieldStrategy.IGNORED)
private Double i14;
@TableField(value = "i_15",updateStrategy = FieldStrategy.IGNORED)
private Double i15;
@TableField(value = "i_16",updateStrategy = FieldStrategy.IGNORED)
private Double i16;
@TableField(value = "i_17",updateStrategy = FieldStrategy.IGNORED)
private Double i17;
@TableField(value = "i_18",updateStrategy = FieldStrategy.IGNORED)
private Double i18;
@TableField(value = "i_19",updateStrategy = FieldStrategy.IGNORED)
private Double i19;
@TableField(value = "i_20",updateStrategy = FieldStrategy.IGNORED)
private Double i20;
@TableField(value = "i_21",updateStrategy = FieldStrategy.IGNORED)
private Double i21;
@TableField(value = "i_22",updateStrategy = FieldStrategy.IGNORED)
private Double i22;
@TableField(value = "i_23",updateStrategy = FieldStrategy.IGNORED)
private Double i23;
@TableField(value = "i_24",updateStrategy = FieldStrategy.IGNORED)
private Double i24;
@TableField(value = "i_25",updateStrategy = FieldStrategy.IGNORED)
private Double i25;
@TableField(value = "i_26",updateStrategy = FieldStrategy.IGNORED)
private Double i26;
@TableField(value = "i_27",updateStrategy = FieldStrategy.IGNORED)
private Double i27;
@TableField(value = "i_28",updateStrategy = FieldStrategy.IGNORED)
private Double i28;
@TableField(value = "i_29",updateStrategy = FieldStrategy.IGNORED)
private Double i29;
@TableField(value = "i_30",updateStrategy = FieldStrategy.IGNORED)
private Double i30;
@TableField(value = "i_31",updateStrategy = FieldStrategy.IGNORED)
private Double i31;
@TableField(value = "i_32",updateStrategy = FieldStrategy.IGNORED)
private Double i32;
@TableField(value = "i_33",updateStrategy = FieldStrategy.IGNORED)
private Double i33;
@TableField(value = "i_34",updateStrategy = FieldStrategy.IGNORED)
private Double i34;
@TableField(value = "i_35",updateStrategy = FieldStrategy.IGNORED)
private Double i35;
@TableField(value = "i_36",updateStrategy = FieldStrategy.IGNORED)
private Double i36;
@TableField(value = "i_37",updateStrategy = FieldStrategy.IGNORED)
private Double i37;
@TableField(value = "i_38",updateStrategy = FieldStrategy.IGNORED)
private Double i38;
@TableField(value = "i_39",updateStrategy = FieldStrategy.IGNORED)
private Double i39;
@TableField(value = "i_40",updateStrategy = FieldStrategy.IGNORED)
private Double i40;
@TableField(value = "i_41",updateStrategy = FieldStrategy.IGNORED)
private Double i41;
@TableField(value = "i_42",updateStrategy = FieldStrategy.IGNORED)
private Double i42;
@TableField(value = "i_43",updateStrategy = FieldStrategy.IGNORED)
private Double i43;
@TableField(value = "i_44",updateStrategy = FieldStrategy.IGNORED)
private Double i44;
@TableField(value = "i_45",updateStrategy = FieldStrategy.IGNORED)
private Double i45;
@TableField(value = "i_46",updateStrategy = FieldStrategy.IGNORED)
private Double i46;
@TableField(value = "i_47",updateStrategy = FieldStrategy.IGNORED)
private Double i47;
@TableField(value = "i_48",updateStrategy = FieldStrategy.IGNORED)
private Double i48;
@TableField(value = "i_49",updateStrategy = FieldStrategy.IGNORED)
private Double i49;
@TableField(value = "i_50",updateStrategy = FieldStrategy.IGNORED)
private Double i50;
}

191
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataInHarmVD.java Normal file
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package com.njcn.dataProcess.pojo.po;
import com.baomidou.mybatisplus.annotation.FieldStrategy;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.io.Serializable;
import java.time.LocalDate;
/**
* 类的介绍：
*
* @author xy
* @version 1.0.0
*/
@Data
@TableName(value = "R_STAT_DATA_INHARM_V_D")
public class RStatDataInHarmVD implements Serializable {
@MppMultiId
@TableField(value = "time")
private LocalDate time;
@MppMultiId
@TableField(value = "line_id")
private String lineId;
@MppMultiId
@TableField(value = "phasic_type")
private String phasicType;
@MppMultiId
@TableField(value = "value_type")
private String valueType;
@TableField(value = "quality_flag")
private Integer qualityFlag;
@TableField(value = "v_1",updateStrategy = FieldStrategy.IGNORED)
private Double v1;
@TableField(value = "v_2",updateStrategy = FieldStrategy.IGNORED)
private Double v2;
@TableField(value = "v_3",updateStrategy = FieldStrategy.IGNORED)
private Double v3;
@TableField(value = "v_4",updateStrategy = FieldStrategy.IGNORED)
private Double v4;
@TableField(value = "v_5",updateStrategy = FieldStrategy.IGNORED)
private Double v5;
@TableField(value = "v_6",updateStrategy = FieldStrategy.IGNORED)
private Double v6;
@TableField(value = "v_7",updateStrategy = FieldStrategy.IGNORED)
private Double v7;
@TableField(value = "v_8",updateStrategy = FieldStrategy.IGNORED)
private Double v8;
@TableField(value = "v_9",updateStrategy = FieldStrategy.IGNORED)
private Double v9;
@TableField(value = "v_10",updateStrategy = FieldStrategy.IGNORED)
private Double v10;
@TableField(value = "v_11",updateStrategy = FieldStrategy.IGNORED)
private Double v11;
@TableField(value = "v_12",updateStrategy = FieldStrategy.IGNORED)
private Double v12;
@TableField(value = "v_13",updateStrategy = FieldStrategy.IGNORED)
private Double v13;
@TableField(value = "v_14",updateStrategy = FieldStrategy.IGNORED)
private Double v14;
@TableField(value = "v_15",updateStrategy = FieldStrategy.IGNORED)
private Double v15;
@TableField(value = "v_16",updateStrategy = FieldStrategy.IGNORED)
private Double v16;
@TableField(value = "v_17",updateStrategy = FieldStrategy.IGNORED)
private Double v17;
@TableField(value = "v_18",updateStrategy = FieldStrategy.IGNORED)
private Double v18;
@TableField(value = "v_19",updateStrategy = FieldStrategy.IGNORED)
private Double v19;
@TableField(value = "v_20",updateStrategy = FieldStrategy.IGNORED)
private Double v20;
@TableField(value = "v_21",updateStrategy = FieldStrategy.IGNORED)
private Double v21;
@TableField(value = "v_22",updateStrategy = FieldStrategy.IGNORED)
private Double v22;
@TableField(value = "v_23",updateStrategy = FieldStrategy.IGNORED)
private Double v23;
@TableField(value = "v_24",updateStrategy = FieldStrategy.IGNORED)
private Double v24;
@TableField(value = "v_25",updateStrategy = FieldStrategy.IGNORED)
private Double v25;
@TableField(value = "v_26",updateStrategy = FieldStrategy.IGNORED)
private Double v26;
@TableField(value = "v_27",updateStrategy = FieldStrategy.IGNORED)
private Double v27;
@TableField(value = "v_28",updateStrategy = FieldStrategy.IGNORED)
private Double v28;
@TableField(value = "v_29",updateStrategy = FieldStrategy.IGNORED)
private Double v29;
@TableField(value = "v_30",updateStrategy = FieldStrategy.IGNORED)
private Double v30;
@TableField(value = "v_31",updateStrategy = FieldStrategy.IGNORED)
private Double v31;
@TableField(value = "v_32",updateStrategy = FieldStrategy.IGNORED)
private Double v32;
@TableField(value = "v_33",updateStrategy = FieldStrategy.IGNORED)
private Double v33;
@TableField(value = "v_34",updateStrategy = FieldStrategy.IGNORED)
private Double v34;
@TableField(value = "v_35",updateStrategy = FieldStrategy.IGNORED)
private Double v35;
@TableField(value = "v_36",updateStrategy = FieldStrategy.IGNORED)
private Double v36;
@TableField(value = "v_37",updateStrategy = FieldStrategy.IGNORED)
private Double v37;
@TableField(value = "v_38",updateStrategy = FieldStrategy.IGNORED)
private Double v38;
@TableField(value = "v_39",updateStrategy = FieldStrategy.IGNORED)
private Double v39;
@TableField(value = "v_40",updateStrategy = FieldStrategy.IGNORED)
private Double v40;
@TableField(value = "v_41",updateStrategy = FieldStrategy.IGNORED)
private Double v41;
@TableField(value = "v_42",updateStrategy = FieldStrategy.IGNORED)
private Double v42;
@TableField(value = "v_43",updateStrategy = FieldStrategy.IGNORED)
private Double v43;
@TableField(value = "v_44",updateStrategy = FieldStrategy.IGNORED)
private Double v44;
@TableField(value = "v_45",updateStrategy = FieldStrategy.IGNORED)
private Double v45;
@TableField(value = "v_46",updateStrategy = FieldStrategy.IGNORED)
private Double v46;
@TableField(value = "v_47",updateStrategy = FieldStrategy.IGNORED)
private Double v47;
@TableField(value = "v_48",updateStrategy = FieldStrategy.IGNORED)
private Double v48;
@TableField(value = "v_49",updateStrategy = FieldStrategy.IGNORED)
private Double v49;
@TableField(value = "v_50",updateStrategy = FieldStrategy.IGNORED)
private Double v50;
}

44
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/po/RStatDataPltD.java Normal file
View File

@@ -0,0 +1,44 @@
package com.njcn.dataProcess.pojo.po;
import com.baomidou.mybatisplus.annotation.FieldStrategy;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.io.Serializable;
import java.time.LocalDate;
/**
* 类的介绍：
*
* @author xy
* @version 1.0.0
*/
@Data
@TableName(value = "R_STAT_DATA_PLT_D")
public class RStatDataPltD implements Serializable {
@MppMultiId
@TableField(value = "time")
private LocalDate time;
@MppMultiId
@TableField(value = "line_id")
private String lineId;
@MppMultiId
@TableField(value = "phasic_type")
private String phasicType;
@MppMultiId
@TableField(value = "value_type")
private String valueType;
@TableField(value = "quality_flag")
private Integer qualityFlag;
@TableField(value = "plt",updateStrategy = FieldStrategy.IGNORED)
private Double plt;
}

19
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataFlickerController.java
View File

@@ -10,7 +10,9 @@ import com.njcn.dataProcess.annotation.InsertBean;
import com.njcn.dataProcess.annotation.QueryBean;
import com.njcn.dataProcess.dto.DataFlickerDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataFlickerDto;
import com.njcn.dataProcess.pojo.dto.DataIDto;
import com.njcn.dataProcess.service.IDataFlicker;
import com.njcn.web.controller.BaseController;
import io.swagger.annotations.Api;
@@ -64,7 +66,22 @@ public class DataFlickerController extends BaseController {
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY)
@PostMapping("/getBaseData")
@ApiOperation("获取算法基础数据")
public HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam) {
String methodDescribe = getMethodDescribe("getBaseData");
List<CommonMinuteDto> data = dataFlickerQuery.getBaseData(lineParam);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD)
@PostMapping("/addList")
@ApiOperation("关系型数据库插入数据")
public HttpResult<String> addList(@RequestBody List<DataFlickerDto> dataFlickerDtoList) {
String methodDescribe = getMethodDescribe("addList");
dataFlickerInsert.addList(dataFlickerDtoList);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe);
}
}

20
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataFlucController.java
View File

@@ -10,8 +10,8 @@ import com.njcn.dataProcess.annotation.InsertBean;
import com.njcn.dataProcess.annotation.QueryBean;
import com.njcn.dataProcess.dto.DataFlucDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataFlucDto;
import com.njcn.dataProcess.pojo.dto.DataPltDto;
import com.njcn.dataProcess.service.IDataFluc;
import com.njcn.web.controller.BaseController;
import io.swagger.annotations.Api;
@@ -64,4 +64,22 @@ public class DataFlucController extends BaseController {
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY)
@PostMapping("/getBaseData")
@ApiOperation("获取算法基础数据")
public HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam) {
String methodDescribe = getMethodDescribe("getBaseData");
List<CommonMinuteDto> data = dataFlucQuery.getBaseData(lineParam);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD)
@PostMapping("/addList")
@ApiOperation("关系型数据库插入数据")
public HttpResult<String> addList(@RequestBody List<DataFlucDto> dataFlucDtoList) {
String methodDescribe = getMethodDescribe("addList");
dataFlucInsert.addList(dataFlucDtoList);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe);
}
}

21
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmphasicIController.java
View File

@@ -6,9 +6,12 @@ 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.dataProcess.dto.DataHarmphasicIDTO;
import com.njcn.dataProcess.annotation.InsertBean;
import com.njcn.dataProcess.annotation.QueryBean;
import com.njcn.dataProcess.dto.DataHarmphasicIDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPhasicIDto;
import com.njcn.dataProcess.service.IDataHarmphasicI;
import com.njcn.web.controller.BaseController;
import io.swagger.annotations.Api;
@@ -53,7 +56,23 @@ public class DataHarmphasicIController extends BaseController {
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY)
@PostMapping("/getBaseData")
@ApiOperation("获取算法基础数据")
public HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam) {
String methodDescribe = getMethodDescribe("getBaseData");
List<CommonMinuteDto> data = dataHarmphasicIQuery.getBaseData(lineParam);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD)
@PostMapping("/addList")
@ApiOperation("关系型数据库插入数据")
public HttpResult<String> addList(@RequestBody List<DataHarmPhasicIDto> list) {
String methodDescribe = getMethodDescribe("addList");
dataHarmphasicIInsert.addList(list);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe);
}

20
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmphasicVController.java
View File

@@ -10,7 +10,10 @@ import com.njcn.dataProcess.annotation.InsertBean;
import com.njcn.dataProcess.annotation.QueryBean;
import com.njcn.dataProcess.dto.DataHarmphasicVDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPhasicIDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto;
import com.njcn.dataProcess.service.IDataHarmphasicV;
import com.njcn.web.controller.BaseController;
import io.swagger.annotations.Api;
@@ -55,7 +58,6 @@ public class DataHarmphasicVController extends BaseController {
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY)
@PostMapping("/getRawData")
@ApiOperation("获取原始数据")
@@ -65,6 +67,22 @@ public class DataHarmphasicVController extends BaseController {
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY)
@PostMapping("/getBaseData")
@ApiOperation("获取算法基础数据")
public HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam) {
String methodDescribe = getMethodDescribe("getBaseData");
List<CommonMinuteDto> data = dataHarmphasicVQuery.getBaseData(lineParam);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD)
@PostMapping("/addList")
@ApiOperation("关系型数据库插入数据")
public HttpResult<String> addList(@RequestBody List<DataHarmPhasicVDto> list) {
String methodDescribe = getMethodDescribe("addList");
dataHarmphasicVInsert.addList(list);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe);
}
}

21
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmpowerPController.java
View File

@@ -10,6 +10,9 @@ import com.njcn.dataProcess.annotation.InsertBean;
import com.njcn.dataProcess.annotation.QueryBean;
import com.njcn.dataProcess.dto.DataHarmpowerPDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPowerPDto;
import com.njcn.dataProcess.pojo.dto.DataPowerPDto;
import com.njcn.dataProcess.service.IDataHarmpowerP;
import com.njcn.web.controller.BaseController;
@@ -64,4 +67,22 @@ public class DataHarmpowerPController extends BaseController {
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY)
@PostMapping("/getBaseData")
@ApiOperation("获取算法基础数据")
public HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam) {
String methodDescribe = getMethodDescribe("getBaseData");
List<CommonMinuteDto> data = dataHarmpowerPQuery.getBaseData(lineParam);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD)
@PostMapping("/addList")
@ApiOperation("关系型数据库插入数据")
public HttpResult<String> addList(@RequestBody List<DataHarmPowerPDto> list) {
String methodDescribe = getMethodDescribe("addList");
dataHarmpowerPInsert.addList(list);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe);
}
}

20
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataHarmpowerQController.java
View File

@@ -9,6 +9,10 @@ import com.njcn.common.utils.HttpResultUtil;
import com.njcn.dataProcess.dto.DataHarmpowerQDTO;
import com.njcn.dataProcess.annotation.InsertBean;
import com.njcn.dataProcess.annotation.QueryBean;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPowerPDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPowerQDto;
import com.njcn.dataProcess.service.IDataHarmpowerQ;
import com.njcn.web.controller.BaseController;
import io.swagger.annotations.Api;
@@ -53,7 +57,23 @@ public class DataHarmpowerQController extends BaseController {
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY)
@PostMapping("/getBaseData")
@ApiOperation("获取算法基础数据")
public HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam) {
String methodDescribe = getMethodDescribe("getBaseData");
List<CommonMinuteDto> data = dataHarmpowerQQuery.getBaseData(lineParam);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD)
@PostMapping("/addList")
@ApiOperation("关系型数据库插入数据")
public HttpResult<String> addList(@RequestBody List<DataHarmPowerQDto> list) {
String methodDescribe = getMethodDescribe("addList");
dataHarmpowerQInsert.addList(list);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe);
}

19
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataIController.java
View File

@@ -10,6 +10,7 @@ import com.njcn.dataProcess.annotation.InsertBean;
import com.njcn.dataProcess.annotation.QueryBean;
import com.njcn.dataProcess.dto.DataIDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataIDto;
import com.njcn.dataProcess.service.IDataI;
import com.njcn.web.controller.BaseController;
@@ -64,4 +65,22 @@ public class DataIController extends BaseController {
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY)
@PostMapping("/getBaseData")
@ApiOperation("获取算法基础数据")
public HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam) {
String methodDescribe = getMethodDescribe("getBaseData");
List<CommonMinuteDto> data = dataIQuery.getBaseData(lineParam);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD)
@PostMapping("/addList")
@ApiOperation("关系型数据库插入数据")
public HttpResult<String> addList(@RequestBody List<DataIDto> dataIDtoList) {
String methodDescribe = getMethodDescribe("addList");
dataIInsert.addList(dataIDtoList);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe);
}
}

16
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataFlickerRelationMapper.java Normal file
View File

@@ -0,0 +1,16 @@
package com.njcn.dataProcess.dao.relation.mapper;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.dataProcess.pojo.po.RStatDataFlickerD;
/**
* <p>
* Mapper 接口
* </p>
*/
public interface RStatDataFlickerRelationMapper extends MppBaseMapper<RStatDataFlickerD> {
}

16
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataFlucRelationMapper.java Normal file
View File

@@ -0,0 +1,16 @@
package com.njcn.dataProcess.dao.relation.mapper;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.dataProcess.pojo.po.RStatDataFlucD;
/**
* <p>
* Mapper 接口
* </p>
*/
public interface RStatDataFlucRelationMapper extends MppBaseMapper<RStatDataFlucD> {
}

16
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPhasicIRelationMapper.java Normal file
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@@ -0,0 +1,16 @@
package com.njcn.dataProcess.dao.relation.mapper;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicID;
/**
* <p>
* Mapper 接口
* </p>
*/
public interface RStatDataHarmPhasicIRelationMapper extends MppBaseMapper<RStatDataHarmPhasicID> {
}

16
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPhasicVRelationMapper.java Normal file
View File

@@ -0,0 +1,16 @@
package com.njcn.dataProcess.dao.relation.mapper;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicVD;
/**
* <p>
* Mapper 接口
* </p>
*/
public interface RStatDataHarmPhasicVRelationMapper extends MppBaseMapper<RStatDataHarmPhasicVD> {
}

16
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPowerPRelationMapper.java Normal file
View File

@@ -0,0 +1,16 @@
package com.njcn.dataProcess.dao.relation.mapper;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerPD;
/**
* <p>
* Mapper 接口
* </p>
*/
public interface RStatDataHarmPowerPRelationMapper extends MppBaseMapper<RStatDataHarmPowerPD> {
}

16
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPowerQRelationMapper.java Normal file
View File

@@ -0,0 +1,16 @@
package com.njcn.dataProcess.dao.relation.mapper;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerQD;
/**
* <p>
* Mapper 接口
* </p>
*/
public interface RStatDataHarmPowerQRelationMapper extends MppBaseMapper<RStatDataHarmPowerQD> {
}

16
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmPowerSRelationMapper.java Normal file
View File

@@ -0,0 +1,16 @@
package com.njcn.dataProcess.dao.relation.mapper;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerSD;
/**
* <p>
* Mapper 接口
* </p>
*/
public interface RStatDataHarmPowerSRelationMapper extends MppBaseMapper<RStatDataHarmPowerSD> {
}

16
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmRateIRelationMapper.java Normal file
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@@ -0,0 +1,16 @@
package com.njcn.dataProcess.dao.relation.mapper;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.dataProcess.pojo.po.RStatDataHarmRateID;
/**
* <p>
* Mapper 接口
* </p>
*/
public interface RStatDataHarmRateIRelationMapper extends MppBaseMapper<RStatDataHarmRateID> {
}

16
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataHarmRateVRelationMapper.java Normal file
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@@ -0,0 +1,16 @@
package com.njcn.dataProcess.dao.relation.mapper;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.dataProcess.pojo.po.RStatDataHarmRateVD;
/**
* <p>
* Mapper 接口
* </p>
*/
public interface RStatDataHarmRateVRelationMapper extends MppBaseMapper<RStatDataHarmRateVD> {
}

16
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataIRelationMapper.java Normal file
View File

@@ -0,0 +1,16 @@
package com.njcn.dataProcess.dao.relation.mapper;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.dataProcess.pojo.po.RStatDataID;
/**
* <p>
* Mapper 接口
* </p>
*/
public interface RStatDataIRelationMapper extends MppBaseMapper<RStatDataID> {
}

16
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataInHarmIRelationMapper.java Normal file
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@@ -0,0 +1,16 @@
package com.njcn.dataProcess.dao.relation.mapper;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.dataProcess.pojo.po.RStatDataInHarmID;
/**
* <p>
* Mapper 接口
* </p>
*/
public interface RStatDataInHarmIRelationMapper extends MppBaseMapper<RStatDataInHarmID> {
}

16
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataInHarmVRelationMapper.java Normal file
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@@ -0,0 +1,16 @@
package com.njcn.dataProcess.dao.relation.mapper;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.dataProcess.pojo.po.RStatDataInHarmVD;
/**
* <p>
* Mapper 接口
* </p>
*/
public interface RStatDataInHarmVRelationMapper extends MppBaseMapper<RStatDataInHarmVD> {
}

16
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/dao/relation/mapper/RStatDataPltRelationMapper.java Normal file
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@@ -0,0 +1,16 @@
package com.njcn.dataProcess.dao.relation.mapper;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.dataProcess.pojo.po.RStatDataPltD;
/**
* <p>
* Mapper 接口
* </p>
*/
public interface RStatDataPltRelationMapper extends MppBaseMapper<RStatDataPltD> {
}

16
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataFlicker.java
View File

@@ -1,8 +1,11 @@
package com.njcn.dataProcess.service;
import com.github.jeffreyning.mybatisplus.service.IMppService;
import com.njcn.dataProcess.dto.DataFlickerDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataFlickerDto;
import com.njcn.dataProcess.pojo.po.RStatDataFlickerD;
import java.util.List;
@@ -13,7 +16,7 @@ import java.util.List;
* @author clam
* @version V1.0.0
*/
public interface IDataFlicker {
public interface IDataFlicker extends IMppService<RStatDataFlickerD> {
void batchInsertion(List<DataFlickerDTO> dataIDTOList);
/**
@@ -22,4 +25,15 @@ public interface IDataFlicker {
* @return
*/
List<DataFlickerDto> getRawData(LineCountEvaluateParam lineParam);
/**
* 获取监测点原始数据
* @param lineParam 监测点参数
*/
List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam);
/**
* 批量插入数据
*/
void addList(List<DataFlickerDto> dataIDtoList);
}

16
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataFluc.java
View File

@@ -1,8 +1,11 @@
package com.njcn.dataProcess.service;
import com.github.jeffreyning.mybatisplus.service.IMppService;
import com.njcn.dataProcess.dto.DataFlucDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataFlucDto;
import com.njcn.dataProcess.pojo.po.RStatDataFlucD;
import java.util.List;
@@ -13,7 +16,7 @@ import java.util.List;
* @author clam
* @version V1.0.0
*/
public interface IDataFluc {
public interface IDataFluc extends IMppService<RStatDataFlucD> {
void batchInsertion(List<DataFlucDTO> dataIDTOList);
/**
@@ -22,4 +25,15 @@ public interface IDataFluc {
* @return
*/
List<DataFlucDto> getRawData(LineCountEvaluateParam lineParam);
/**
* 获取监测点原始数据
* @param lineParam 监测点参数
*/
List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam);
/**
* 批量插入数据
*/
void addList(List<DataFlucDto> dataFlucDtoList);
}

18
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmphasicI.java
View File

@@ -1,6 +1,11 @@
package com.njcn.dataProcess.service;
import com.github.jeffreyning.mybatisplus.service.IMppService;
import com.njcn.dataProcess.dto.DataHarmphasicIDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPhasicIDto;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicID;
import java.util.List;
@@ -11,6 +16,17 @@ import java.util.List;
* @author clam
* @version V1.0.0
*/
public interface IDataHarmphasicI {
public interface IDataHarmphasicI extends IMppService<RStatDataHarmPhasicID> {
void batchInsertion(List<DataHarmphasicIDTO> dataIDTOList);
/**
* 获取监测点原始数据
* @param lineParam 监测点参数
*/
List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam);
/**
* 批量插入数据
*/
void addList(List<DataHarmPhasicIDto> list);
}

17
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmphasicV.java
View File

@@ -1,8 +1,12 @@
package com.njcn.dataProcess.service;
import com.github.jeffreyning.mybatisplus.service.IMppService;
import com.njcn.dataProcess.dto.DataHarmphasicVDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicVD;
import java.util.List;
@@ -13,7 +17,7 @@ import java.util.List;
* @author clam
* @version V1.0.0
*/
public interface IDataHarmphasicV {
public interface IDataHarmphasicV extends IMppService<RStatDataHarmPhasicVD> {
void batchInsertion(List<DataHarmphasicVDTO> dataIDTOList);
/**
@@ -22,4 +26,15 @@ public interface IDataHarmphasicV {
* @return
*/
List<DataHarmDto> getRawData(LineCountEvaluateParam lineParam);
/**
* 获取预处理数据
* @param lineParam 监测点参数
*/
List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam);
/**
* 批量插入数据
*/
void addList(List<DataHarmPhasicVDto> list);
}

18
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmpowerP.java
View File

@@ -1,9 +1,12 @@
package com.njcn.dataProcess.service;
import com.github.jeffreyning.mybatisplus.service.IMppService;
import com.njcn.dataProcess.dto.DataHarmpowerPDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.DataIDto;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPowerPDto;
import com.njcn.dataProcess.pojo.dto.DataPowerPDto;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerPD;
import java.util.List;
@@ -14,7 +17,7 @@ import java.util.List;
* @author clam
* @version V1.0.0
*/
public interface IDataHarmpowerP {
public interface IDataHarmpowerP extends IMppService<RStatDataHarmPowerPD> {
void batchInsertion(List<DataHarmpowerPDTO> dataIDTOList);
/**
@@ -23,4 +26,15 @@ public interface IDataHarmpowerP {
* @return
*/
List<DataPowerPDto> getRawData(LineCountEvaluateParam lineParam);
/**
* 获取预处理数据
* @param lineParam 监测点参数
*/
List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam);
/**
* 批量插入数据
*/
void addList(List<DataHarmPowerPDto> list);
}

18
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataHarmpowerQ.java
View File

@@ -1,6 +1,11 @@
package com.njcn.dataProcess.service;
import com.github.jeffreyning.mybatisplus.service.IMppService;
import com.njcn.dataProcess.dto.DataHarmpowerQDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPowerQDto;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerQD;
import java.util.List;
@@ -11,6 +16,17 @@ import java.util.List;
* @author clam
* @version V1.0.0
*/
public interface IDataHarmpowerQ {
public interface IDataHarmpowerQ extends IMppService<RStatDataHarmPowerQD> {
void batchInsertion(List<DataHarmpowerQDTO> dataIDTOList);
/**
* 获取预处理数据
* @param lineParam 监测点参数
*/
List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam);
/**
* 批量插入数据
*/
void addList(List<DataHarmPowerQDto> list);
}

19
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataI.java
View File

@@ -1,10 +1,12 @@
package com.njcn.dataProcess.service;
import com.github.jeffreyning.mybatisplus.service.IMppService;
import com.njcn.dataProcess.dto.DataIDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataI;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataIDto;
import com.njcn.dataProcess.pojo.dto.DataVDto;
import com.njcn.dataProcess.pojo.po.RStatDataID;
import com.njcn.dataProcess.pojo.po.RStatDataVD;
import java.util.List;
@@ -15,7 +17,7 @@ import java.util.List;
* @author clam
* @version V1.0.0
*/
public interface IDataI {
public interface IDataI extends IMppService<RStatDataID> {
void batchInsertion(List<DataIDTO> dataIDTOList);
@@ -25,4 +27,15 @@ public interface IDataI {
* @return
*/
List<DataIDto> getRawData(LineCountEvaluateParam lineParam);
/**
* 获取监测点原始数据
* @param lineParam 监测点参数
*/
List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam);
/**
* 批量插入数据
*/
void addList(List<DataIDto> dataIDtoList);
}

56
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataFlickerImpl.java
View File

@@ -1,12 +1,17 @@
package com.njcn.dataProcess.service.impl.influxdb;
import cn.hutool.core.collection.CollectionUtil;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.dataProcess.dao.imapper.DataFlickerMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataFlickerRelationMapper;
import com.njcn.dataProcess.dto.DataFlickerDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataFlicker;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataFlickerDto;
import com.njcn.dataProcess.pojo.po.RStatDataFlickerD;
import com.njcn.dataProcess.service.IDataFlicker;
import com.njcn.dataProcess.util.TimeUtils;
import com.njcn.influx.query.InfluxQueryWrapper;
import lombok.RequiredArgsConstructor;
import org.apache.commons.collections4.ListUtils;
@@ -16,6 +21,7 @@ import org.springframework.stereotype.Service;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
@@ -29,7 +35,7 @@ import java.util.stream.Collectors;
*/
@Service("InfluxdbDataFlickerImpl")
@RequiredArgsConstructor
public class InfluxdbDataFlickerImpl implements IDataFlicker {
public class InfluxdbDataFlickerImpl extends MppServiceImpl<RStatDataFlickerRelationMapper, RStatDataFlickerD> implements IDataFlicker {
private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
@@ -68,6 +74,54 @@ public class InfluxdbDataFlickerImpl implements IDataFlicker {
return result;
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
List<CommonMinuteDto> result = new ArrayList<>();
List<DataFlicker> dataIList = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),lineParam.getAbnormalTime());
if (CollectionUtil.isNotEmpty(dataIList)) {
String time = TimeUtils.StringTimeToString(lineParam.getStartTime());
//以监测点分组
Map<String,List<DataFlicker>> lineMap = dataIList.stream().collect(Collectors.groupingBy(DataFlicker::getLineId));
lineMap.forEach((line,lineList)->{
CommonMinuteDto dto = new CommonMinuteDto();
dto.setLineId(line);
dto.setTime(time);
dto.setQualityFlag(lineList.get(0).getQualityFlag());
//以相别分组
Map<String,List<DataFlicker>> phasicTypeMap = lineList.stream().collect(Collectors.groupingBy(DataFlicker::getPhasicType));
List<CommonMinuteDto.PhasicType> phasicTypes = new ArrayList<>();
phasicTypeMap.forEach((phasicType,phasicTypeList)->{
CommonMinuteDto.PhasicType type = new CommonMinuteDto.PhasicType();
type.setPhasicType(phasicType);
List<CommonMinuteDto.ValueType> valueTypes = new ArrayList<>();
CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType();
value.setValueType(null);
//规定好集合指标参数
List<Double> data1 = phasicTypeList.stream().map(DataFlicker::getFluc).collect(Collectors.toList());
List<Double> data2 = phasicTypeList.stream().map(DataFlicker::getPlt).collect(Collectors.toList());
List<Double> data3 = phasicTypeList.stream().map(DataFlicker::getPst).collect(Collectors.toList());
List<List<Double>> lists = Arrays.asList(data1,data2,data3);
value.setValueList(lists);
valueTypes.add(value);
type.setValueTypeList(valueTypes);
phasicTypes.add(type);
});
dto.setPhasicTypeList(phasicTypes);
result.add(dto);
});
}
return result;
}
@Override
public void addList(List<DataFlickerDto> dataIDtoList) {
}
/**
* 按监测点集合、时间条件获取分钟数据
* timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理

55
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataFlucImpl.java
View File

@@ -1,12 +1,17 @@
package com.njcn.dataProcess.service.impl.influxdb;
import cn.hutool.core.collection.CollectionUtil;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.dataProcess.dao.imapper.DataFlucMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataFlucRelationMapper;
import com.njcn.dataProcess.dto.DataFlucDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataFluc;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataFlucDto;
import com.njcn.dataProcess.pojo.po.RStatDataFlucD;
import com.njcn.dataProcess.service.IDataFluc;
import com.njcn.dataProcess.util.TimeUtils;
import com.njcn.influx.query.InfluxQueryWrapper;
import lombok.RequiredArgsConstructor;
import org.apache.commons.collections4.ListUtils;
@@ -16,6 +21,7 @@ import org.springframework.stereotype.Service;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
@@ -29,7 +35,7 @@ import java.util.stream.Collectors;
*/
@Service("InfluxdbDataFlucImpl")
@RequiredArgsConstructor
public class InfluxdbDataFlucImpl implements IDataFluc {
public class InfluxdbDataFlucImpl extends MppServiceImpl<RStatDataFlucRelationMapper, RStatDataFlucD> implements IDataFluc {
private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
@@ -68,6 +74,53 @@ public class InfluxdbDataFlucImpl implements IDataFluc {
return result;
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
List<CommonMinuteDto> result = new ArrayList<>();
List<DataFluc> dataIList = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),lineParam.getAbnormalTime());
if (CollectionUtil.isNotEmpty(dataIList)) {
String time = TimeUtils.StringTimeToString(lineParam.getStartTime());
//以监测点分组
Map<String,List<DataFluc>> lineMap = dataIList.stream().collect(Collectors.groupingBy(DataFluc::getLineId));
lineMap.forEach((line,lineList)->{
CommonMinuteDto dto = new CommonMinuteDto();
dto.setLineId(line);
dto.setTime(time);
dto.setQualityFlag(lineList.get(0).getQualityFlag());
//以相别分组
Map<String,List<DataFluc>> phasicTypeMap = lineList.stream().collect(Collectors.groupingBy(DataFluc::getPhasicType));
List<CommonMinuteDto.PhasicType> phasicTypes = new ArrayList<>();
phasicTypeMap.forEach((phasicType,phasicTypeList)->{
CommonMinuteDto.PhasicType type = new CommonMinuteDto.PhasicType();
type.setPhasicType(phasicType);
List<CommonMinuteDto.ValueType> valueTypes = new ArrayList<>();
CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType();
value.setValueType(null);
//规定好集合指标参数
List<Double> data1 = phasicTypeList.stream().map(DataFluc::getFluc).collect(Collectors.toList());
List<Double> data2 = phasicTypeList.stream().map(DataFluc::getFluccf).collect(Collectors.toList());
List<List<Double>> lists = Arrays.asList(data1,data2);
value.setValueList(lists);
valueTypes.add(value);
type.setValueTypeList(valueTypes);
phasicTypes.add(type);
});
dto.setPhasicTypeList(phasicTypes);
result.add(dto);
});
}
return result;
}
@Override
public void addList(List<DataFlucDto> dataFlucDtoList) {
}
/**
* 按监测点集合、时间条件获取分钟数据
* timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理

173
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmphasicIImpl.java
View File

@@ -1,15 +1,30 @@
package com.njcn.dataProcess.service.impl.influxdb;
import com.njcn.dataProcess.dto.DataHarmphasicIDTO;
import cn.hutool.core.collection.CollectionUtil;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.common.utils.HarmonicTimesUtil;
import com.njcn.dataProcess.dao.imapper.DataHarmphasicIMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPhasicIRelationMapper;
import com.njcn.dataProcess.dto.DataHarmphasicIDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataHarmphasicI;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPhasicIDto;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicID;
import com.njcn.dataProcess.service.IDataHarmphasicI;
import com.njcn.dataProcess.util.TimeUtils;
import com.njcn.influx.constant.InfluxDbSqlConstant;
import com.njcn.influx.query.InfluxQueryWrapper;
import lombok.RequiredArgsConstructor;
import org.apache.commons.collections4.ListUtils;
import org.springframework.stereotype.Service;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
/**
@@ -21,11 +36,11 @@ import java.util.stream.Collectors;
*/
@Service("InfluxdbDataHarmphasicIImpl")
@RequiredArgsConstructor
public class InfluxdbDataHarmphasicIImpl implements IDataHarmphasicI {
public class InfluxdbDataHarmphasicIImpl extends MppServiceImpl<RStatDataHarmPhasicIRelationMapper, RStatDataHarmPhasicID> implements IDataHarmphasicI {
private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
private final DataHarmphasicIMapper dataHarmphasicIMapper;
@Override
public void batchInsertion(List<DataHarmphasicIDTO> dataHarmphasicIDTOList) {
int totalCount = dataHarmphasicIDTOList.size();
@@ -44,4 +59,156 @@ public class InfluxdbDataHarmphasicIImpl implements IDataHarmphasicI {
}
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
List<CommonMinuteDto> result = new ArrayList<>();
List<DataHarmphasicI> data = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),lineParam.getAbnormalTime());
if (CollectionUtil.isNotEmpty(data)) {
String time = TimeUtils.StringTimeToString(lineParam.getStartTime());
//以监测点分组
Map<String,List<DataHarmphasicI>> lineMap = data.stream().collect(Collectors.groupingBy(DataHarmphasicI::getLineId));
lineMap.forEach((line,lineList)->{
CommonMinuteDto dto = new CommonMinuteDto();
dto.setLineId(line);
dto.setTime(time);
dto.setQualityFlag(lineList.get(0).getQualityFlag());
//以相别分组
Map<String,List<DataHarmphasicI>> phasicTypeMap = lineList.stream().collect(Collectors.groupingBy(DataHarmphasicI::getPhasicType));
List<CommonMinuteDto.PhasicType> phasicTypes = new ArrayList<>();
phasicTypeMap.forEach((phasicType,phasicTypeList)->{
CommonMinuteDto.PhasicType type = new CommonMinuteDto.PhasicType();
type.setPhasicType(phasicType);
//以数据类型分组
Map<String,List<DataHarmphasicI>> valueTypeMap = phasicTypeList.stream().collect(Collectors.groupingBy(DataHarmphasicI::getValueType));
List<CommonMinuteDto.ValueType> valueTypes = new ArrayList<>();
valueTypeMap.forEach((valueType,valueTypeList)->{
CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType();
value.setValueType(valueType);
//规定好集合指标参数
List<Double> data12 = valueTypeList.stream().map(DataHarmphasicI::getI1).collect(Collectors.toList());
List<Double> data13 = valueTypeList.stream().map(DataHarmphasicI::getI2).collect(Collectors.toList());
List<Double> data14 = valueTypeList.stream().map(DataHarmphasicI::getI3).collect(Collectors.toList());
List<Double> data15 = valueTypeList.stream().map(DataHarmphasicI::getI4).collect(Collectors.toList());
List<Double> data16 = valueTypeList.stream().map(DataHarmphasicI::getI5).collect(Collectors.toList());
List<Double> data17 = valueTypeList.stream().map(DataHarmphasicI::getI6).collect(Collectors.toList());
List<Double> data18 = valueTypeList.stream().map(DataHarmphasicI::getI7).collect(Collectors.toList());
List<Double> data19 = valueTypeList.stream().map(DataHarmphasicI::getI8).collect(Collectors.toList());
List<Double> data20 = valueTypeList.stream().map(DataHarmphasicI::getI9).collect(Collectors.toList());
List<Double> data21 = valueTypeList.stream().map(DataHarmphasicI::getI10).collect(Collectors.toList());
List<Double> data22 = valueTypeList.stream().map(DataHarmphasicI::getI11).collect(Collectors.toList());
List<Double> data23 = valueTypeList.stream().map(DataHarmphasicI::getI12).collect(Collectors.toList());
List<Double> data24 = valueTypeList.stream().map(DataHarmphasicI::getI13).collect(Collectors.toList());
List<Double> data25 = valueTypeList.stream().map(DataHarmphasicI::getI14).collect(Collectors.toList());
List<Double> data26 = valueTypeList.stream().map(DataHarmphasicI::getI15).collect(Collectors.toList());
List<Double> data27 = valueTypeList.stream().map(DataHarmphasicI::getI16).collect(Collectors.toList());
List<Double> data28 = valueTypeList.stream().map(DataHarmphasicI::getI17).collect(Collectors.toList());
List<Double> data29 = valueTypeList.stream().map(DataHarmphasicI::getI18).collect(Collectors.toList());
List<Double> data30 = valueTypeList.stream().map(DataHarmphasicI::getI19).collect(Collectors.toList());
List<Double> data31 = valueTypeList.stream().map(DataHarmphasicI::getI20).collect(Collectors.toList());
List<Double> data32 = valueTypeList.stream().map(DataHarmphasicI::getI21).collect(Collectors.toList());
List<Double> data33 = valueTypeList.stream().map(DataHarmphasicI::getI22).collect(Collectors.toList());
List<Double> data34 = valueTypeList.stream().map(DataHarmphasicI::getI23).collect(Collectors.toList());
List<Double> data35 = valueTypeList.stream().map(DataHarmphasicI::getI24).collect(Collectors.toList());
List<Double> data36 = valueTypeList.stream().map(DataHarmphasicI::getI25).collect(Collectors.toList());
List<Double> data37 = valueTypeList.stream().map(DataHarmphasicI::getI26).collect(Collectors.toList());
List<Double> data38 = valueTypeList.stream().map(DataHarmphasicI::getI27).collect(Collectors.toList());
List<Double> data39 = valueTypeList.stream().map(DataHarmphasicI::getI28).collect(Collectors.toList());
List<Double> data40 = valueTypeList.stream().map(DataHarmphasicI::getI29).collect(Collectors.toList());
List<Double> data41 = valueTypeList.stream().map(DataHarmphasicI::getI30).collect(Collectors.toList());
List<Double> data42 = valueTypeList.stream().map(DataHarmphasicI::getI31).collect(Collectors.toList());
List<Double> data43 = valueTypeList.stream().map(DataHarmphasicI::getI32).collect(Collectors.toList());
List<Double> data44 = valueTypeList.stream().map(DataHarmphasicI::getI33).collect(Collectors.toList());
List<Double> data45 = valueTypeList.stream().map(DataHarmphasicI::getI34).collect(Collectors.toList());
List<Double> data46 = valueTypeList.stream().map(DataHarmphasicI::getI35).collect(Collectors.toList());
List<Double> data47 = valueTypeList.stream().map(DataHarmphasicI::getI36).collect(Collectors.toList());
List<Double> data48 = valueTypeList.stream().map(DataHarmphasicI::getI37).collect(Collectors.toList());
List<Double> data49 = valueTypeList.stream().map(DataHarmphasicI::getI38).collect(Collectors.toList());
List<Double> data50 = valueTypeList.stream().map(DataHarmphasicI::getI39).collect(Collectors.toList());
List<Double> data51 = valueTypeList.stream().map(DataHarmphasicI::getI40).collect(Collectors.toList());
List<Double> data52 = valueTypeList.stream().map(DataHarmphasicI::getI41).collect(Collectors.toList());
List<Double> data53 = valueTypeList.stream().map(DataHarmphasicI::getI42).collect(Collectors.toList());
List<Double> data54 = valueTypeList.stream().map(DataHarmphasicI::getI43).collect(Collectors.toList());
List<Double> data55 = valueTypeList.stream().map(DataHarmphasicI::getI44).collect(Collectors.toList());
List<Double> data56 = valueTypeList.stream().map(DataHarmphasicI::getI45).collect(Collectors.toList());
List<Double> data57 = valueTypeList.stream().map(DataHarmphasicI::getI46).collect(Collectors.toList());
List<Double> data58 = valueTypeList.stream().map(DataHarmphasicI::getI47).collect(Collectors.toList());
List<Double> data59 = valueTypeList.stream().map(DataHarmphasicI::getI48).collect(Collectors.toList());
List<Double> data60 = valueTypeList.stream().map(DataHarmphasicI::getI49).collect(Collectors.toList());
List<Double> data61 = valueTypeList.stream().map(DataHarmphasicI::getI50).collect(Collectors.toList());
List<List<Double>> lists = Arrays.asList(data12,data13,data14,data15,data16
,data17,data18,data19,data20,data21,data22,data23,data24,data25,data26
,data27,data28,data29,data30,data31,data32,data33,data34,data35,data36
,data37,data38,data39,data40,data41,data42,data43,data44,data45,data46
,data47,data48,data49,data50,data51,data52,data53,data54,data55,data56
,data57,data58,data59,data60,data61);
value.setValueList(lists);
valueTypes.add(value);
});
type.setValueTypeList(valueTypes);
phasicTypes.add(type);
});
dto.setPhasicTypeList(phasicTypes);
result.add(dto);
});
}
return result;
}
@Override
public void addList(List<DataHarmPhasicIDto> list) {
}
/**
* 按监测点集合、时间条件获取分钟数据
* timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理
* 需要进行剔除异常数据时,这里会有三种情况判断
* 1.无异常数据，则直接返回集合；
* 2.异常数据和无异常数据参杂，剔除异常数据，只计算正常数据；
* 3.全是异常数据，则使用异常数据进行计算，但是日表中需要标记出来，此数据有异常
*/
public List<DataHarmphasicI> getMinuteData(List<String> lineList, String startTime, String endTime, Map<String,List<String>> timeMap) {
List<DataHarmphasicI> result = new ArrayList<>();
InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataHarmphasicI.class);
influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.I, "", HarmonicTimesUtil.harmonicTimesList(1, 50, 1));
influxQueryWrapper.regular(DataHarmphasicI::getLineId, lineList)
.select(DataHarmphasicI::getLineId)
.select(DataHarmphasicI::getPhasicType)
.select(DataHarmphasicI::getValueType)
.select(DataHarmphasicI::getQualityFlag)
.between(DataHarmphasicI::getTime, startTime, endTime)
.eq(DataHarmphasicI::getQualityFlag,"0");
List<DataHarmphasicI> list = dataHarmphasicIMapper.selectByQueryWrapper(influxQueryWrapper);
Map<String,List<DataHarmphasicI>> lineMap = list.stream().collect(Collectors.groupingBy(DataHarmphasicI::getLineId));
//有异常数据
if (CollectionUtil.isNotEmpty(timeMap)) {
lineMap.forEach((k,v)->{
List<String> timeList = timeMap.get(k);
//有异常数据,当前监测点自身的异常数据
if (CollectionUtil.isNotEmpty(timeList)) {
List<DataHarmphasicI> filterList = v.stream().filter(item -> !timeList.contains(DATE_TIME_FORMATTER.format(item.getTime()))).collect(Collectors.toList());
//1.过滤掉异常数据后还有正常数据，则用正常数据计算
if (CollectionUtil.isNotEmpty(filterList)) {
result.addAll(filterList);
}
//2.过滤掉异常数据后没有正常数据，则用所有异常数据计算，但是需要标记数据为异常的
else {
v.parallelStream().forEach(item -> item.setQualityFlag("1"));
result.addAll(v);
}
}
//没有异常数据，则使用原数据
else {
result.addAll(v);
}
});
}
//没有异常数据，则使用原数据
else {
result.addAll(list);
}
return result;
}
}

114
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmphasicVImpl.java
View File

@@ -1,13 +1,20 @@
package com.njcn.dataProcess.service.impl.influxdb;
import cn.hutool.core.collection.CollectionUtil;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.common.utils.HarmonicTimesUtil;
import com.njcn.dataProcess.dao.imapper.DataHarmphasicVMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPhasicVRelationMapper;
import com.njcn.dataProcess.dto.DataHarmphasicVDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataHarmphasicI;
import com.njcn.dataProcess.po.influx.DataHarmphasicV;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicVD;
import com.njcn.dataProcess.service.IDataHarmphasicV;
import com.njcn.dataProcess.util.TimeUtils;
import com.njcn.influx.constant.InfluxDbSqlConstant;
import com.njcn.influx.query.InfluxQueryWrapper;
import lombok.RequiredArgsConstructor;
@@ -17,9 +24,7 @@ import org.springframework.stereotype.Service;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.*;
import java.util.stream.Collectors;
/**
@@ -31,7 +36,7 @@ import java.util.stream.Collectors;
*/
@Service("InfluxdbDataHarmphasicVImpl")
@RequiredArgsConstructor
public class InfluxdbDataHarmphasicVImpl implements IDataHarmphasicV {
public class InfluxdbDataHarmphasicVImpl extends MppServiceImpl<RStatDataHarmPhasicVRelationMapper, RStatDataHarmPhasicVD> implements IDataHarmphasicV {
private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
@@ -70,6 +75,107 @@ public class InfluxdbDataHarmphasicVImpl implements IDataHarmphasicV {
return result;
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
List<CommonMinuteDto> result = new ArrayList<>();
List<DataHarmphasicV> data = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),lineParam.getAbnormalTime());
if (CollectionUtil.isNotEmpty(data)) {
String time = TimeUtils.StringTimeToString(lineParam.getStartTime());
//以监测点分组
Map<String,List<DataHarmphasicV>> lineMap = data.stream().collect(Collectors.groupingBy(DataHarmphasicV::getLineId));
lineMap.forEach((line,lineList)->{
CommonMinuteDto dto = new CommonMinuteDto();
dto.setLineId(line);
dto.setTime(time);
dto.setQualityFlag(lineList.get(0).getQualityFlag());
//以相别分组
Map<String,List<DataHarmphasicV>> phasicTypeMap = lineList.stream().collect(Collectors.groupingBy(DataHarmphasicV::getPhasicType));
List<CommonMinuteDto.PhasicType> phasicTypes = new ArrayList<>();
phasicTypeMap.forEach((phasicType,phasicTypeList)->{
CommonMinuteDto.PhasicType type = new CommonMinuteDto.PhasicType();
type.setPhasicType(phasicType);
//以数据类型分组
Map<String,List<DataHarmphasicV>> valueTypeMap = phasicTypeList.stream().collect(Collectors.groupingBy(DataHarmphasicV::getValueType));
List<CommonMinuteDto.ValueType> valueTypes = new ArrayList<>();
valueTypeMap.forEach((valueType,valueTypeList)->{
CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType();
value.setValueType(valueType);
//规定好集合指标参数
List<Double> data12 = valueTypeList.stream().map(DataHarmphasicV::getV1).collect(Collectors.toList());
List<Double> data13 = valueTypeList.stream().map(DataHarmphasicV::getV2).collect(Collectors.toList());
List<Double> data14 = valueTypeList.stream().map(DataHarmphasicV::getV3).collect(Collectors.toList());
List<Double> data15 = valueTypeList.stream().map(DataHarmphasicV::getV4).collect(Collectors.toList());
List<Double> data16 = valueTypeList.stream().map(DataHarmphasicV::getV5).collect(Collectors.toList());
List<Double> data17 = valueTypeList.stream().map(DataHarmphasicV::getV6).collect(Collectors.toList());
List<Double> data18 = valueTypeList.stream().map(DataHarmphasicV::getV7).collect(Collectors.toList());
List<Double> data19 = valueTypeList.stream().map(DataHarmphasicV::getV8).collect(Collectors.toList());
List<Double> data20 = valueTypeList.stream().map(DataHarmphasicV::getV9).collect(Collectors.toList());
List<Double> data21 = valueTypeList.stream().map(DataHarmphasicV::getV10).collect(Collectors.toList());
List<Double> data22 = valueTypeList.stream().map(DataHarmphasicV::getV11).collect(Collectors.toList());
List<Double> data23 = valueTypeList.stream().map(DataHarmphasicV::getV12).collect(Collectors.toList());
List<Double> data24 = valueTypeList.stream().map(DataHarmphasicV::getV13).collect(Collectors.toList());
List<Double> data25 = valueTypeList.stream().map(DataHarmphasicV::getV14).collect(Collectors.toList());
List<Double> data26 = valueTypeList.stream().map(DataHarmphasicV::getV15).collect(Collectors.toList());
List<Double> data27 = valueTypeList.stream().map(DataHarmphasicV::getV16).collect(Collectors.toList());
List<Double> data28 = valueTypeList.stream().map(DataHarmphasicV::getV17).collect(Collectors.toList());
List<Double> data29 = valueTypeList.stream().map(DataHarmphasicV::getV18).collect(Collectors.toList());
List<Double> data30 = valueTypeList.stream().map(DataHarmphasicV::getV19).collect(Collectors.toList());
List<Double> data31 = valueTypeList.stream().map(DataHarmphasicV::getV20).collect(Collectors.toList());
List<Double> data32 = valueTypeList.stream().map(DataHarmphasicV::getV21).collect(Collectors.toList());
List<Double> data33 = valueTypeList.stream().map(DataHarmphasicV::getV22).collect(Collectors.toList());
List<Double> data34 = valueTypeList.stream().map(DataHarmphasicV::getV23).collect(Collectors.toList());
List<Double> data35 = valueTypeList.stream().map(DataHarmphasicV::getV24).collect(Collectors.toList());
List<Double> data36 = valueTypeList.stream().map(DataHarmphasicV::getV25).collect(Collectors.toList());
List<Double> data37 = valueTypeList.stream().map(DataHarmphasicV::getV26).collect(Collectors.toList());
List<Double> data38 = valueTypeList.stream().map(DataHarmphasicV::getV27).collect(Collectors.toList());
List<Double> data39 = valueTypeList.stream().map(DataHarmphasicV::getV28).collect(Collectors.toList());
List<Double> data40 = valueTypeList.stream().map(DataHarmphasicV::getV29).collect(Collectors.toList());
List<Double> data41 = valueTypeList.stream().map(DataHarmphasicV::getV30).collect(Collectors.toList());
List<Double> data42 = valueTypeList.stream().map(DataHarmphasicV::getV31).collect(Collectors.toList());
List<Double> data43 = valueTypeList.stream().map(DataHarmphasicV::getV32).collect(Collectors.toList());
List<Double> data44 = valueTypeList.stream().map(DataHarmphasicV::getV33).collect(Collectors.toList());
List<Double> data45 = valueTypeList.stream().map(DataHarmphasicV::getV34).collect(Collectors.toList());
List<Double> data46 = valueTypeList.stream().map(DataHarmphasicV::getV35).collect(Collectors.toList());
List<Double> data47 = valueTypeList.stream().map(DataHarmphasicV::getV36).collect(Collectors.toList());
List<Double> data48 = valueTypeList.stream().map(DataHarmphasicV::getV37).collect(Collectors.toList());
List<Double> data49 = valueTypeList.stream().map(DataHarmphasicV::getV38).collect(Collectors.toList());
List<Double> data50 = valueTypeList.stream().map(DataHarmphasicV::getV39).collect(Collectors.toList());
List<Double> data51 = valueTypeList.stream().map(DataHarmphasicV::getV40).collect(Collectors.toList());
List<Double> data52 = valueTypeList.stream().map(DataHarmphasicV::getV41).collect(Collectors.toList());
List<Double> data53 = valueTypeList.stream().map(DataHarmphasicV::getV42).collect(Collectors.toList());
List<Double> data54 = valueTypeList.stream().map(DataHarmphasicV::getV43).collect(Collectors.toList());
List<Double> data55 = valueTypeList.stream().map(DataHarmphasicV::getV44).collect(Collectors.toList());
List<Double> data56 = valueTypeList.stream().map(DataHarmphasicV::getV45).collect(Collectors.toList());
List<Double> data57 = valueTypeList.stream().map(DataHarmphasicV::getV46).collect(Collectors.toList());
List<Double> data58 = valueTypeList.stream().map(DataHarmphasicV::getV47).collect(Collectors.toList());
List<Double> data59 = valueTypeList.stream().map(DataHarmphasicV::getV48).collect(Collectors.toList());
List<Double> data60 = valueTypeList.stream().map(DataHarmphasicV::getV49).collect(Collectors.toList());
List<Double> data61 = valueTypeList.stream().map(DataHarmphasicV::getV50).collect(Collectors.toList());
List<List<Double>> lists = Arrays.asList(data12,data13,data14,data15,data16
,data17,data18,data19,data20,data21,data22,data23,data24,data25,data26
,data27,data28,data29,data30,data31,data32,data33,data34,data35,data36
,data37,data38,data39,data40,data41,data42,data43,data44,data45,data46
,data47,data48,data49,data50,data51,data52,data53,data54,data55,data56
,data57,data58,data59,data60,data61);
value.setValueList(lists);
valueTypes.add(value);
});
type.setValueTypeList(valueTypes);
phasicTypes.add(type);
});
dto.setPhasicTypeList(phasicTypes);
result.add(dto);
});
}
return result;
}
@Override
public void addList(List<DataHarmPhasicVDto> list) {
}
/**
* 按监测点集合、时间条件获取分钟数据
* timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理

125
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmpowerPImpl.java
View File

@@ -1,15 +1,20 @@
package com.njcn.dataProcess.service.impl.influxdb;
import cn.hutool.core.collection.CollectionUtil;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.common.utils.HarmonicTimesUtil;
import com.njcn.dataProcess.dto.DataHarmpowerPDTO;
import com.njcn.dataProcess.dao.imapper.DataHarmpowerPMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPowerPRelationMapper;
import com.njcn.dataProcess.dto.DataHarmpowerPDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataHarmphasicV;
import com.njcn.dataProcess.po.influx.DataHarmpowerP;
import com.njcn.dataProcess.po.influx.DataI;
import com.njcn.dataProcess.pojo.dto.DataIDto;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPowerPDto;
import com.njcn.dataProcess.pojo.dto.DataPowerPDto;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerPD;
import com.njcn.dataProcess.service.IDataHarmpowerP;
import com.njcn.dataProcess.util.TimeUtils;
import com.njcn.influx.constant.InfluxDbSqlConstant;
import com.njcn.influx.query.InfluxQueryWrapper;
import lombok.RequiredArgsConstructor;
@@ -19,10 +24,7 @@ import org.springframework.stereotype.Service;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import java.util.*;
import java.util.stream.Collectors;
/**
@@ -34,7 +36,7 @@ import java.util.stream.Collectors;
*/
@Service("InfluxdbDataHarmpowerPImpl")
@RequiredArgsConstructor
public class InfluxdbDataHarmpowerPImpl implements IDataHarmpowerP {
public class InfluxdbDataHarmpowerPImpl extends MppServiceImpl<RStatDataHarmPowerPRelationMapper, RStatDataHarmPowerPD> implements IDataHarmpowerP {
private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
@@ -72,8 +74,113 @@ public class InfluxdbDataHarmpowerPImpl implements IDataHarmpowerP {
return result;
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
List<CommonMinuteDto> result = new ArrayList<>();
List<DataHarmpowerP> data = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),lineParam.getAbnormalTime());
if (CollectionUtil.isNotEmpty(data)) {
String time = TimeUtils.StringTimeToString(lineParam.getStartTime());
//以监测点分组
Map<String,List<DataHarmpowerP>> lineMap = data.stream().collect(Collectors.groupingBy(DataHarmpowerP::getLineId));
lineMap.forEach((line,lineList)->{
CommonMinuteDto dto = new CommonMinuteDto();
dto.setLineId(line);
dto.setTime(time);
dto.setQualityFlag(lineList.get(0).getQualityFlag());
//以相别分组
Map<String,List<DataHarmpowerP>> phasicTypeMap = lineList.stream().collect(Collectors.groupingBy(DataHarmpowerP::getPhasicType));
List<CommonMinuteDto.PhasicType> phasicTypes = new ArrayList<>();
phasicTypeMap.forEach((phasicType,phasicTypeList)->{
CommonMinuteDto.PhasicType type = new CommonMinuteDto.PhasicType();
type.setPhasicType(phasicType);
//以数据类型分组
Map<String,List<DataHarmpowerP>> valueTypeMap = phasicTypeList.stream().collect(Collectors.groupingBy(DataHarmpowerP::getValueType));
List<CommonMinuteDto.ValueType> valueTypes = new ArrayList<>();
valueTypeMap.forEach((valueType,valueTypeList)->{
CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType();
value.setValueType(valueType);
//规定好集合指标参数
List<Double> data1 = valueTypeList.stream().map(DataHarmpowerP::getDf).collect(Collectors.toList());
List<Double> data2 = valueTypeList.stream().map(DataHarmpowerP::getPf).collect(Collectors.toList());
List<Double> data3 = valueTypeList.stream().map(DataHarmpowerP::getP).collect(Collectors.toList());
List<Double> data12 = valueTypeList.stream().map(DataHarmpowerP::getP1).collect(Collectors.toList());
List<Double> data13 = valueTypeList.stream().map(DataHarmpowerP::getP2).collect(Collectors.toList());
List<Double> data14 = valueTypeList.stream().map(DataHarmpowerP::getP3).collect(Collectors.toList());
List<Double> data15 = valueTypeList.stream().map(DataHarmpowerP::getP4).collect(Collectors.toList());
List<Double> data16 = valueTypeList.stream().map(DataHarmpowerP::getP5).collect(Collectors.toList());
List<Double> data17 = valueTypeList.stream().map(DataHarmpowerP::getP6).collect(Collectors.toList());
List<Double> data18 = valueTypeList.stream().map(DataHarmpowerP::getP7).collect(Collectors.toList());
List<Double> data19 = valueTypeList.stream().map(DataHarmpowerP::getP8).collect(Collectors.toList());
List<Double> data20 = valueTypeList.stream().map(DataHarmpowerP::getP9).collect(Collectors.toList());
List<Double> data21 = valueTypeList.stream().map(DataHarmpowerP::getP10).collect(Collectors.toList());
List<Double> data22 = valueTypeList.stream().map(DataHarmpowerP::getP11).collect(Collectors.toList());
List<Double> data23 = valueTypeList.stream().map(DataHarmpowerP::getP12).collect(Collectors.toList());
List<Double> data24 = valueTypeList.stream().map(DataHarmpowerP::getP13).collect(Collectors.toList());
List<Double> data25 = valueTypeList.stream().map(DataHarmpowerP::getP14).collect(Collectors.toList());
List<Double> data26 = valueTypeList.stream().map(DataHarmpowerP::getP15).collect(Collectors.toList());
List<Double> data27 = valueTypeList.stream().map(DataHarmpowerP::getP16).collect(Collectors.toList());
List<Double> data28 = valueTypeList.stream().map(DataHarmpowerP::getP17).collect(Collectors.toList());
List<Double> data29 = valueTypeList.stream().map(DataHarmpowerP::getP18).collect(Collectors.toList());
List<Double> data30 = valueTypeList.stream().map(DataHarmpowerP::getP19).collect(Collectors.toList());
List<Double> data31 = valueTypeList.stream().map(DataHarmpowerP::getP20).collect(Collectors.toList());
List<Double> data32 = valueTypeList.stream().map(DataHarmpowerP::getP21).collect(Collectors.toList());
List<Double> data33 = valueTypeList.stream().map(DataHarmpowerP::getP22).collect(Collectors.toList());
List<Double> data34 = valueTypeList.stream().map(DataHarmpowerP::getP23).collect(Collectors.toList());
List<Double> data35 = valueTypeList.stream().map(DataHarmpowerP::getP24).collect(Collectors.toList());
List<Double> data36 = valueTypeList.stream().map(DataHarmpowerP::getP25).collect(Collectors.toList());
List<Double> data37 = valueTypeList.stream().map(DataHarmpowerP::getP26).collect(Collectors.toList());
List<Double> data38 = valueTypeList.stream().map(DataHarmpowerP::getP27).collect(Collectors.toList());
List<Double> data39 = valueTypeList.stream().map(DataHarmpowerP::getP28).collect(Collectors.toList());
List<Double> data40 = valueTypeList.stream().map(DataHarmpowerP::getP29).collect(Collectors.toList());
List<Double> data41 = valueTypeList.stream().map(DataHarmpowerP::getP30).collect(Collectors.toList());
List<Double> data42 = valueTypeList.stream().map(DataHarmpowerP::getP31).collect(Collectors.toList());
List<Double> data43 = valueTypeList.stream().map(DataHarmpowerP::getP32).collect(Collectors.toList());
List<Double> data44 = valueTypeList.stream().map(DataHarmpowerP::getP33).collect(Collectors.toList());
List<Double> data45 = valueTypeList.stream().map(DataHarmpowerP::getP34).collect(Collectors.toList());
List<Double> data46 = valueTypeList.stream().map(DataHarmpowerP::getP35).collect(Collectors.toList());
List<Double> data47 = valueTypeList.stream().map(DataHarmpowerP::getP36).collect(Collectors.toList());
List<Double> data48 = valueTypeList.stream().map(DataHarmpowerP::getP37).collect(Collectors.toList());
List<Double> data49 = valueTypeList.stream().map(DataHarmpowerP::getP38).collect(Collectors.toList());
List<Double> data50 = valueTypeList.stream().map(DataHarmpowerP::getP39).collect(Collectors.toList());
List<Double> data51 = valueTypeList.stream().map(DataHarmpowerP::getP40).collect(Collectors.toList());
List<Double> data52 = valueTypeList.stream().map(DataHarmpowerP::getP41).collect(Collectors.toList());
List<Double> data53 = valueTypeList.stream().map(DataHarmpowerP::getP42).collect(Collectors.toList());
List<Double> data54 = valueTypeList.stream().map(DataHarmpowerP::getP43).collect(Collectors.toList());
List<Double> data55 = valueTypeList.stream().map(DataHarmpowerP::getP44).collect(Collectors.toList());
List<Double> data56 = valueTypeList.stream().map(DataHarmpowerP::getP45).collect(Collectors.toList());
List<Double> data57 = valueTypeList.stream().map(DataHarmpowerP::getP46).collect(Collectors.toList());
List<Double> data58 = valueTypeList.stream().map(DataHarmpowerP::getP47).collect(Collectors.toList());
List<Double> data59 = valueTypeList.stream().map(DataHarmpowerP::getP48).collect(Collectors.toList());
List<Double> data60 = valueTypeList.stream().map(DataHarmpowerP::getP49).collect(Collectors.toList());
List<Double> data61 = valueTypeList.stream().map(DataHarmpowerP::getP50).collect(Collectors.toList());
List<List<Double>> lists = Arrays.asList(data1,data2,data3,data12,data13,data14
,data15,data16,data17,data18,data19,data20,data21,data22,data23,data24
,data25,data26,data27,data28,data29,data30,data31,data32,data33,data34
,data35,data36,data37,data38,data39,data40,data41,data42,data43,data44
,data45,data46,data47,data48,data49,data50,data51,data52,data53,data54
,data55,data56,data57,data58,data59,data60,data61);
value.setValueList(lists);
valueTypes.add(value);
});
type.setValueTypeList(valueTypes);
phasicTypes.add(type);
});
dto.setPhasicTypeList(phasicTypes);
result.add(dto);
});
}
return result;
}
@Override
public void addList(List<DataHarmPowerPDto> list) {
}
/**
* 按监测点集合、时间条件获取dataI分钟数据
* 按监测点集合、时间条件获取分钟数据
* timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理
* 需要进行剔除异常数据时,这里会有三种情况判断
* 1.无异常数据，则直接返回集合；

178
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmpowerQImpl.java
View File

@@ -1,15 +1,28 @@
package com.njcn.dataProcess.service.impl.influxdb;
import com.njcn.dataProcess.dto.DataHarmpowerQDTO;
import cn.hutool.core.collection.CollectionUtil;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.common.utils.HarmonicTimesUtil;
import com.njcn.dataProcess.dao.imapper.DataHarmpowerQMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPowerQRelationMapper;
import com.njcn.dataProcess.dto.DataHarmpowerQDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataHarmpowerP;
import com.njcn.dataProcess.po.influx.DataHarmpowerQ;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPowerQDto;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerQD;
import com.njcn.dataProcess.service.IDataHarmpowerQ;
import com.njcn.dataProcess.util.TimeUtils;
import com.njcn.influx.constant.InfluxDbSqlConstant;
import com.njcn.influx.query.InfluxQueryWrapper;
import lombok.RequiredArgsConstructor;
import org.apache.commons.collections4.ListUtils;
import org.springframework.stereotype.Service;
import java.util.ArrayList;
import java.util.List;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
import java.util.*;
import java.util.stream.Collectors;
/**
@@ -21,8 +34,9 @@ import java.util.stream.Collectors;
*/
@Service("InfluxdbDataHarmpowerQImpl")
@RequiredArgsConstructor
public class InfluxdbDataHarmpowerQImpl implements IDataHarmpowerQ {
public class InfluxdbDataHarmpowerQImpl extends MppServiceImpl<RStatDataHarmPowerQRelationMapper, RStatDataHarmPowerQD> implements IDataHarmpowerQ {
private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
private final DataHarmpowerQMapper dataHarmpowerQMapper;
@@ -43,4 +57,160 @@ public class InfluxdbDataHarmpowerQImpl implements IDataHarmpowerQ {
}
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
List<CommonMinuteDto> result = new ArrayList<>();
List<DataHarmpowerQ> data = getMinuteData(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),lineParam.getAbnormalTime());
if (CollectionUtil.isNotEmpty(data)) {
String time = TimeUtils.StringTimeToString(lineParam.getStartTime());
//以监测点分组
Map<String,List<DataHarmpowerQ>> lineMap = data.stream().collect(Collectors.groupingBy(DataHarmpowerQ::getLineId));
lineMap.forEach((line,lineList)->{
CommonMinuteDto dto = new CommonMinuteDto();
dto.setLineId(line);
dto.setTime(time);
dto.setQualityFlag(lineList.get(0).getQualityFlag());
//以相别分组
Map<String,List<DataHarmpowerQ>> phasicTypeMap = lineList.stream().collect(Collectors.groupingBy(DataHarmpowerQ::getPhasicType));
List<CommonMinuteDto.PhasicType> phasicTypes = new ArrayList<>();
phasicTypeMap.forEach((phasicType,phasicTypeList)->{
CommonMinuteDto.PhasicType type = new CommonMinuteDto.PhasicType();
type.setPhasicType(phasicType);
//以数据类型分组
Map<String,List<DataHarmpowerQ>> valueTypeMap = phasicTypeList.stream().collect(Collectors.groupingBy(DataHarmpowerQ::getValueType));
List<CommonMinuteDto.ValueType> valueTypes = new ArrayList<>();
valueTypeMap.forEach((valueType,valueTypeList)->{
CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType();
value.setValueType(valueType);
//规定好集合指标参数
List<Double> data1 = valueTypeList.stream().map(DataHarmpowerQ::getQ).collect(Collectors.toList());
List<Double> data12 = valueTypeList.stream().map(DataHarmpowerQ::getQ1).collect(Collectors.toList());
List<Double> data13 = valueTypeList.stream().map(DataHarmpowerQ::getQ2).collect(Collectors.toList());
List<Double> data14 = valueTypeList.stream().map(DataHarmpowerQ::getQ3).collect(Collectors.toList());
List<Double> data15 = valueTypeList.stream().map(DataHarmpowerQ::getQ4).collect(Collectors.toList());
List<Double> data16 = valueTypeList.stream().map(DataHarmpowerQ::getQ5).collect(Collectors.toList());
List<Double> data17 = valueTypeList.stream().map(DataHarmpowerQ::getQ6).collect(Collectors.toList());
List<Double> data18 = valueTypeList.stream().map(DataHarmpowerQ::getQ7).collect(Collectors.toList());
List<Double> data19 = valueTypeList.stream().map(DataHarmpowerQ::getQ8).collect(Collectors.toList());
List<Double> data20 = valueTypeList.stream().map(DataHarmpowerQ::getQ9).collect(Collectors.toList());
List<Double> data21 = valueTypeList.stream().map(DataHarmpowerQ::getQ10).collect(Collectors.toList());
List<Double> data22 = valueTypeList.stream().map(DataHarmpowerQ::getQ11).collect(Collectors.toList());
List<Double> data23 = valueTypeList.stream().map(DataHarmpowerQ::getQ12).collect(Collectors.toList());
List<Double> data24 = valueTypeList.stream().map(DataHarmpowerQ::getQ13).collect(Collectors.toList());
List<Double> data25 = valueTypeList.stream().map(DataHarmpowerQ::getQ14).collect(Collectors.toList());
List<Double> data26 = valueTypeList.stream().map(DataHarmpowerQ::getQ15).collect(Collectors.toList());
List<Double> data27 = valueTypeList.stream().map(DataHarmpowerQ::getQ16).collect(Collectors.toList());
List<Double> data28 = valueTypeList.stream().map(DataHarmpowerQ::getQ17).collect(Collectors.toList());
List<Double> data29 = valueTypeList.stream().map(DataHarmpowerQ::getQ18).collect(Collectors.toList());
List<Double> data30 = valueTypeList.stream().map(DataHarmpowerQ::getQ19).collect(Collectors.toList());
List<Double> data31 = valueTypeList.stream().map(DataHarmpowerQ::getQ20).collect(Collectors.toList());
List<Double> data32 = valueTypeList.stream().map(DataHarmpowerQ::getQ21).collect(Collectors.toList());
List<Double> data33 = valueTypeList.stream().map(DataHarmpowerQ::getQ22).collect(Collectors.toList());
List<Double> data34 = valueTypeList.stream().map(DataHarmpowerQ::getQ23).collect(Collectors.toList());
List<Double> data35 = valueTypeList.stream().map(DataHarmpowerQ::getQ24).collect(Collectors.toList());
List<Double> data36 = valueTypeList.stream().map(DataHarmpowerQ::getQ25).collect(Collectors.toList());
List<Double> data37 = valueTypeList.stream().map(DataHarmpowerQ::getQ26).collect(Collectors.toList());
List<Double> data38 = valueTypeList.stream().map(DataHarmpowerQ::getQ27).collect(Collectors.toList());
List<Double> data39 = valueTypeList.stream().map(DataHarmpowerQ::getQ28).collect(Collectors.toList());
List<Double> data40 = valueTypeList.stream().map(DataHarmpowerQ::getQ29).collect(Collectors.toList());
List<Double> data41 = valueTypeList.stream().map(DataHarmpowerQ::getQ30).collect(Collectors.toList());
List<Double> data42 = valueTypeList.stream().map(DataHarmpowerQ::getQ31).collect(Collectors.toList());
List<Double> data43 = valueTypeList.stream().map(DataHarmpowerQ::getQ32).collect(Collectors.toList());
List<Double> data44 = valueTypeList.stream().map(DataHarmpowerQ::getQ33).collect(Collectors.toList());
List<Double> data45 = valueTypeList.stream().map(DataHarmpowerQ::getQ34).collect(Collectors.toList());
List<Double> data46 = valueTypeList.stream().map(DataHarmpowerQ::getQ35).collect(Collectors.toList());
List<Double> data47 = valueTypeList.stream().map(DataHarmpowerQ::getQ36).collect(Collectors.toList());
List<Double> data48 = valueTypeList.stream().map(DataHarmpowerQ::getQ37).collect(Collectors.toList());
List<Double> data49 = valueTypeList.stream().map(DataHarmpowerQ::getQ38).collect(Collectors.toList());
List<Double> data50 = valueTypeList.stream().map(DataHarmpowerQ::getQ39).collect(Collectors.toList());
List<Double> data51 = valueTypeList.stream().map(DataHarmpowerQ::getQ40).collect(Collectors.toList());
List<Double> data52 = valueTypeList.stream().map(DataHarmpowerQ::getQ41).collect(Collectors.toList());
List<Double> data53 = valueTypeList.stream().map(DataHarmpowerQ::getQ42).collect(Collectors.toList());
List<Double> data54 = valueTypeList.stream().map(DataHarmpowerQ::getQ43).collect(Collectors.toList());
List<Double> data55 = valueTypeList.stream().map(DataHarmpowerQ::getQ44).collect(Collectors.toList());
List<Double> data56 = valueTypeList.stream().map(DataHarmpowerQ::getQ45).collect(Collectors.toList());
List<Double> data57 = valueTypeList.stream().map(DataHarmpowerQ::getQ46).collect(Collectors.toList());
List<Double> data58 = valueTypeList.stream().map(DataHarmpowerQ::getQ47).collect(Collectors.toList());
List<Double> data59 = valueTypeList.stream().map(DataHarmpowerQ::getQ48).collect(Collectors.toList());
List<Double> data60 = valueTypeList.stream().map(DataHarmpowerQ::getQ49).collect(Collectors.toList());
List<Double> data61 = valueTypeList.stream().map(DataHarmpowerQ::getQ50).collect(Collectors.toList());
List<List<Double>> lists = Arrays.asList(data1,data12,data13,data14
,data15,data16,data17,data18,data19,data20,data21,data22,data23,data24
,data25,data26,data27,data28,data29,data30,data31,data32,data33,data34
,data35,data36,data37,data38,data39,data40,data41,data42,data43,data44
,data45,data46,data47,data48,data49,data50,data51,data52,data53,data54
,data55,data56,data57,data58,data59,data60,data61);
value.setValueList(lists);
valueTypes.add(value);
});
type.setValueTypeList(valueTypes);
phasicTypes.add(type);
});
dto.setPhasicTypeList(phasicTypes);
result.add(dto);
});
}
return result;
}
@Override
public void addList(List<DataHarmPowerQDto> list) {
}
/**
* 按监测点集合、时间条件获取分钟数据
* timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理
* 需要进行剔除异常数据时,这里会有三种情况判断
* 1.无异常数据，则直接返回集合；
* 2.异常数据和无异常数据参杂，剔除异常数据，只计算正常数据；
* 3.全是异常数据，则使用异常数据进行计算，但是日表中需要标记出来，此数据有异常
*/
public List<DataHarmpowerQ> getMinuteData(List<String> lineList, String startTime, String endTime, Map<String,List<String>> timeMap) {
List<DataHarmpowerQ> result = new ArrayList<>();
InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataHarmpowerQ.class);
influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.Q, "", HarmonicTimesUtil.harmonicTimesList(1, 50, 1));
influxQueryWrapper.regular(DataHarmpowerQ::getLineId, lineList)
.select(DataHarmpowerQ::getLineId)
.select(DataHarmpowerQ::getPhasicType)
.select(DataHarmpowerQ::getValueType)
.select(DataHarmpowerQ::getQ)
.select(DataHarmpowerQ::getQualityFlag)
.between(DataHarmpowerQ::getTime, startTime, endTime)
.eq(DataHarmpowerQ::getQualityFlag,"0");
List<DataHarmpowerQ> list = dataHarmpowerQMapper.selectByQueryWrapper(influxQueryWrapper);
Map<String,List<DataHarmpowerQ>> lineMap = list.stream().collect(Collectors.groupingBy(DataHarmpowerQ::getLineId));
//有异常数据
if (CollectionUtil.isNotEmpty(timeMap)) {
lineMap.forEach((k,v)->{
List<String> timeList = timeMap.get(k);
//有异常数据,当前监测点自身的异常数据
if (CollectionUtil.isNotEmpty(timeList)) {
List<DataHarmpowerQ> filterList = v.stream().filter(item -> !timeList.contains(DATE_TIME_FORMATTER.format(item.getTime()))).collect(Collectors.toList());
//1.过滤掉异常数据后还有正常数据，则用正常数据计算
if (CollectionUtil.isNotEmpty(filterList)) {
result.addAll(filterList);
}
//2.过滤掉异常数据后没有正常数据，则用所有异常数据计算，但是需要标记数据为异常的
else {
v.parallelStream().forEach(item -> item.setQualityFlag("1"));
result.addAll(v);
}
}
//没有异常数据，则使用原数据
else {
result.addAll(v);
}
});
}
//没有异常数据，则使用原数据
else {
result.addAll(list);
}
return result;
}
}

117
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataIImpl.java
View File

@@ -1,13 +1,18 @@
package com.njcn.dataProcess.service.impl.influxdb;
import cn.hutool.core.collection.CollectionUtil;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.common.utils.HarmonicTimesUtil;
import com.njcn.dataProcess.dao.imapper.DataIMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataIRelationMapper;
import com.njcn.dataProcess.dto.DataIDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataI;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataIDto;
import com.njcn.dataProcess.pojo.po.RStatDataID;
import com.njcn.dataProcess.service.IDataI;
import com.njcn.dataProcess.util.TimeUtils;
import com.njcn.influx.constant.InfluxDbSqlConstant;
import com.njcn.influx.query.InfluxQueryWrapper;
import lombok.RequiredArgsConstructor;
@@ -18,6 +23,7 @@ import org.springframework.stereotype.Service;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
@@ -31,7 +37,7 @@ import java.util.stream.Collectors;
*/
@Service("InfluxdbDataIImpl")
@RequiredArgsConstructor
public class InfluxdbDataIImpl implements IDataI {
public class InfluxdbDataIImpl extends MppServiceImpl<RStatDataIRelationMapper, RStatDataID> implements IDataI {
private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
@@ -69,6 +75,115 @@ public class InfluxdbDataIImpl implements IDataI {
return result;
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
List<CommonMinuteDto> result = new ArrayList<>();
List<DataI> dataIList = getMinuteDataI(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),lineParam.getAbnormalTime());
if (CollectionUtil.isNotEmpty(dataIList)) {
String time = TimeUtils.StringTimeToString(lineParam.getStartTime());
//以监测点分组
Map<String,List<DataI>> lineMap = dataIList.stream().collect(Collectors.groupingBy(DataI::getLineId));
lineMap.forEach((line,lineList)->{
CommonMinuteDto dto = new CommonMinuteDto();
dto.setLineId(line);
dto.setTime(time);
dto.setQualityFlag(lineList.get(0).getQualityFlag());
//以相别分组
Map<String,List<DataI>> phasicTypeMap = lineList.stream().collect(Collectors.groupingBy(DataI::getPhasicType));
List<CommonMinuteDto.PhasicType> phasicTypes = new ArrayList<>();
phasicTypeMap.forEach((phasicType,phasicTypeList)->{
CommonMinuteDto.PhasicType type = new CommonMinuteDto.PhasicType();
type.setPhasicType(phasicType);
//以数据类型分组
Map<String,List<DataI>> valueTypeMap = phasicTypeList.stream().collect(Collectors.groupingBy(DataI::getValueType));
List<CommonMinuteDto.ValueType> valueTypes = new ArrayList<>();
valueTypeMap.forEach((valueType,valueTypeList)->{
CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType();
value.setValueType(valueType);
//规定好集合指标参数
List<Double> data1 = valueTypeList.stream().map(DataI::getINeg).collect(Collectors.toList());
List<Double> data2 = valueTypeList.stream().map(DataI::getIPos).collect(Collectors.toList());
List<Double> data3 = valueTypeList.stream().map(DataI::getIThd).collect(Collectors.toList());
List<Double> data4 = valueTypeList.stream().map(DataI::getIUnbalance).collect(Collectors.toList());
List<Double> data5 = valueTypeList.stream().map(DataI::getIZero).collect(Collectors.toList());
List<Double> data6 = valueTypeList.stream().map(DataI::getRms).collect(Collectors.toList());
List<Double> data12 = valueTypeList.stream().map(DataI::getI1).collect(Collectors.toList());
List<Double> data13 = valueTypeList.stream().map(DataI::getI2).collect(Collectors.toList());
List<Double> data14 = valueTypeList.stream().map(DataI::getI3).collect(Collectors.toList());
List<Double> data15 = valueTypeList.stream().map(DataI::getI4).collect(Collectors.toList());
List<Double> data16 = valueTypeList.stream().map(DataI::getI5).collect(Collectors.toList());
List<Double> data17 = valueTypeList.stream().map(DataI::getI6).collect(Collectors.toList());
List<Double> data18 = valueTypeList.stream().map(DataI::getI7).collect(Collectors.toList());
List<Double> data19 = valueTypeList.stream().map(DataI::getI8).collect(Collectors.toList());
List<Double> data20 = valueTypeList.stream().map(DataI::getI9).collect(Collectors.toList());
List<Double> data21 = valueTypeList.stream().map(DataI::getI10).collect(Collectors.toList());
List<Double> data22 = valueTypeList.stream().map(DataI::getI11).collect(Collectors.toList());
List<Double> data23 = valueTypeList.stream().map(DataI::getI12).collect(Collectors.toList());
List<Double> data24 = valueTypeList.stream().map(DataI::getI13).collect(Collectors.toList());
List<Double> data25 = valueTypeList.stream().map(DataI::getI14).collect(Collectors.toList());
List<Double> data26 = valueTypeList.stream().map(DataI::getI15).collect(Collectors.toList());
List<Double> data27 = valueTypeList.stream().map(DataI::getI16).collect(Collectors.toList());
List<Double> data28 = valueTypeList.stream().map(DataI::getI17).collect(Collectors.toList());
List<Double> data29 = valueTypeList.stream().map(DataI::getI18).collect(Collectors.toList());
List<Double> data30 = valueTypeList.stream().map(DataI::getI19).collect(Collectors.toList());
List<Double> data31 = valueTypeList.stream().map(DataI::getI20).collect(Collectors.toList());
List<Double> data32 = valueTypeList.stream().map(DataI::getI21).collect(Collectors.toList());
List<Double> data33 = valueTypeList.stream().map(DataI::getI22).collect(Collectors.toList());
List<Double> data34 = valueTypeList.stream().map(DataI::getI23).collect(Collectors.toList());
List<Double> data35 = valueTypeList.stream().map(DataI::getI24).collect(Collectors.toList());
List<Double> data36 = valueTypeList.stream().map(DataI::getI25).collect(Collectors.toList());
List<Double> data37 = valueTypeList.stream().map(DataI::getI26).collect(Collectors.toList());
List<Double> data38 = valueTypeList.stream().map(DataI::getI27).collect(Collectors.toList());
List<Double> data39 = valueTypeList.stream().map(DataI::getI28).collect(Collectors.toList());
List<Double> data40 = valueTypeList.stream().map(DataI::getI29).collect(Collectors.toList());
List<Double> data41 = valueTypeList.stream().map(DataI::getI30).collect(Collectors.toList());
List<Double> data42 = valueTypeList.stream().map(DataI::getI31).collect(Collectors.toList());
List<Double> data43 = valueTypeList.stream().map(DataI::getI32).collect(Collectors.toList());
List<Double> data44 = valueTypeList.stream().map(DataI::getI33).collect(Collectors.toList());
List<Double> data45 = valueTypeList.stream().map(DataI::getI34).collect(Collectors.toList());
List<Double> data46 = valueTypeList.stream().map(DataI::getI35).collect(Collectors.toList());
List<Double> data47 = valueTypeList.stream().map(DataI::getI36).collect(Collectors.toList());
List<Double> data48 = valueTypeList.stream().map(DataI::getI37).collect(Collectors.toList());
List<Double> data49 = valueTypeList.stream().map(DataI::getI38).collect(Collectors.toList());
List<Double> data50 = valueTypeList.stream().map(DataI::getI39).collect(Collectors.toList());
List<Double> data51 = valueTypeList.stream().map(DataI::getI40).collect(Collectors.toList());
List<Double> data52 = valueTypeList.stream().map(DataI::getI41).collect(Collectors.toList());
List<Double> data53 = valueTypeList.stream().map(DataI::getI42).collect(Collectors.toList());
List<Double> data54 = valueTypeList.stream().map(DataI::getI43).collect(Collectors.toList());
List<Double> data55 = valueTypeList.stream().map(DataI::getI44).collect(Collectors.toList());
List<Double> data56 = valueTypeList.stream().map(DataI::getI45).collect(Collectors.toList());
List<Double> data57 = valueTypeList.stream().map(DataI::getI46).collect(Collectors.toList());
List<Double> data58 = valueTypeList.stream().map(DataI::getI47).collect(Collectors.toList());
List<Double> data59 = valueTypeList.stream().map(DataI::getI48).collect(Collectors.toList());
List<Double> data60 = valueTypeList.stream().map(DataI::getI49).collect(Collectors.toList());
List<Double> data61 = valueTypeList.stream().map(DataI::getI50).collect(Collectors.toList());
List<List<Double>> lists = Arrays.asList(data1,data2,data3,data4,data5,data6
,data12,data13,data14,data15,data16,data17,data18,data19,data20
,data21,data22,data23,data24,data25,data26,data27,data28,data29,data30
,data31,data32,data33,data34,data35,data36,data37,data38,data39,data40
,data41,data42,data43,data44,data45,data46,data47,data48,data49,data50
,data51,data52,data53,data54,data55,data56,data57,data58,data59,data60
,data61);
value.setValueList(lists);
valueTypes.add(value);
});
type.setValueTypeList(valueTypes);
phasicTypes.add(type);
});
dto.setPhasicTypeList(phasicTypes);
result.add(dto);
});
}
return result;
}
@Override
public void addList(List<DataIDto> dataIDtoList) {
}
/**
* 按监测点集合、时间条件获取dataI分钟数据
* timeMap参数来判断是否进行数据处理 timeMap为空则不进行数据处理

34
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataFlickerImpl.java
View File

@@ -1,18 +1,24 @@
package com.njcn.dataProcess.service.impl.relation;
import com.njcn.dataProcess.dto.DataFlickerDTO;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.dataProcess.dao.relation.mapper.DataFlickerRelationMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataFlickerRelationMapper;
import com.njcn.dataProcess.dto.DataFlickerDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.relation.DataFlicker;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataFlickerDto;
import com.njcn.dataProcess.pojo.po.RStatDataFlickerD;
import com.njcn.dataProcess.service.IDataFlicker;
import com.njcn.dataProcess.util.BeanFeildUtils;
import com.njcn.dataProcess.util.TimeUtils;
import lombok.RequiredArgsConstructor;
import org.apache.commons.collections4.ListUtils;
import org.springframework.beans.BeanUtils;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
@@ -26,9 +32,12 @@ import java.util.stream.Collectors;
*/
@Service("RelationDataFlickerImpl")
@RequiredArgsConstructor
public class RelationDataFlickerImpl implements IDataFlicker {
public class RelationDataFlickerImpl extends MppServiceImpl<RStatDataFlickerRelationMapper, RStatDataFlickerD> implements IDataFlicker {
private final DataFlickerRelationMapper dataFlickerRelationMapper;
@Resource
private IDataFlicker dataFlicker;
@Override
public void batchInsertion(List<DataFlickerDTO> dataFlickerDTOList) {
int totalCount = dataFlickerDTOList.size();
@@ -61,4 +70,23 @@ public class RelationDataFlickerImpl implements IDataFlicker {
public List<DataFlickerDto> getRawData(LineCountEvaluateParam lineParam) {
return Collections.emptyList();
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
return Collections.emptyList();
}
@Override
public void addList(List<DataFlickerDto> dataIDtoList) {
List<RStatDataFlickerD> result = new ArrayList<>();
dataIDtoList.forEach(item->{
RStatDataFlickerD data = new RStatDataFlickerD();
data.setTime(TimeUtils.LocalDataTimeToLocalDate2(item.getTime()));
data.setPhasicType(item.getPhasicType());
data.setQualityFlag(Integer.valueOf(item.getQualityFlag()));
BeanUtils.copyProperties(item, data);
result.add(data);
});
dataFlicker.saveOrUpdateBatchByMultiId(result);
}
}

34
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataFlucImpl.java
View File

@@ -1,18 +1,24 @@
package com.njcn.dataProcess.service.impl.relation;
import com.njcn.dataProcess.dto.DataFlucDTO;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.dataProcess.dao.relation.mapper.DataFlucRelationMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataFlucRelationMapper;
import com.njcn.dataProcess.dto.DataFlucDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.relation.DataFluc;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataFlucDto;
import com.njcn.dataProcess.pojo.po.RStatDataFlucD;
import com.njcn.dataProcess.service.IDataFluc;
import com.njcn.dataProcess.util.BeanFeildUtils;
import com.njcn.dataProcess.util.TimeUtils;
import lombok.RequiredArgsConstructor;
import org.apache.commons.collections4.ListUtils;
import org.springframework.beans.BeanUtils;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
@@ -26,8 +32,11 @@ import java.util.stream.Collectors;
*/
@Service("RelationDataFlucImpl")
@RequiredArgsConstructor
public class RelationDataFlucImpl implements IDataFluc {
public class RelationDataFlucImpl extends MppServiceImpl<RStatDataFlucRelationMapper, RStatDataFlucD> implements IDataFluc {
private final DataFlucRelationMapper dataFlucRelationMapper;
@Resource
private IDataFluc dataFluc;
@Override
public void batchInsertion(List<DataFlucDTO> dataFlucDTOList) {
int totalCount = dataFlucDTOList.size();
@@ -53,5 +62,24 @@ public class RelationDataFlucImpl implements IDataFluc {
return Collections.emptyList();
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
return Collections.emptyList();
}
@Override
public void addList(List<DataFlucDto> dataFlucDtoList) {
List<RStatDataFlucD> result = new ArrayList<>();
dataFlucDtoList.forEach(item->{
RStatDataFlucD data = new RStatDataFlucD();
data.setTime(TimeUtils.LocalDataTimeToLocalDate2(item.getTime()));
data.setPhasicType(item.getPhasicType());
data.setQualityFlag(Integer.valueOf(item.getQualityFlag()));
BeanUtils.copyProperties(item, data);
result.add(data);
});
dataFluc.saveOrUpdateBatchByMultiId(result);
}
;
}

37
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmphasicIImpl.java
View File

@@ -1,16 +1,25 @@
package com.njcn.dataProcess.service.impl.relation;
import com.njcn.dataProcess.dto.DataHarmphasicIDTO;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.dataProcess.dao.relation.mapper.DataHarmphasicIRelationMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPhasicIRelationMapper;
import com.njcn.dataProcess.dto.DataHarmphasicIDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.relation.DataHarmphasicI;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPhasicIDto;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicID;
import com.njcn.dataProcess.service.IDataHarmphasicI;
import com.njcn.dataProcess.util.BeanFeildUtils;
import com.njcn.dataProcess.util.TimeUtils;
import lombok.RequiredArgsConstructor;
import org.apache.commons.collections4.ListUtils;
import org.springframework.beans.BeanUtils;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
@@ -23,10 +32,13 @@ import java.util.stream.Collectors;
*/
@Service("RelationDataHarmphasicIImpl")
@RequiredArgsConstructor
public class RelationDataHarmphasicIImpl implements IDataHarmphasicI {
public class RelationDataHarmphasicIImpl extends MppServiceImpl<RStatDataHarmPhasicIRelationMapper, RStatDataHarmPhasicID> implements IDataHarmphasicI {
private final DataHarmphasicIRelationMapper dataHarmphasicIRelationMapper;
@Resource
private IDataHarmphasicI dataHarmphasicI;
@Override
public void batchInsertion(List<DataHarmphasicIDTO> dataHarmphasicIDTOList) {
int totalCount = dataHarmphasicIDTOList.size();
@@ -54,4 +66,23 @@ public class RelationDataHarmphasicIImpl implements IDataHarmphasicI {
}
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
return Collections.emptyList();
}
@Override
public void addList(List<DataHarmPhasicIDto> list) {
List<RStatDataHarmPhasicID> result = new ArrayList<>();
list.forEach(item->{
RStatDataHarmPhasicID data = new RStatDataHarmPhasicID();
data.setTime(TimeUtils.LocalDataTimeToLocalDate2(item.getTime()));
data.setPhasicType(item.getPhasicType());
data.setQualityFlag(Integer.valueOf(item.getQualityFlag()));
BeanUtils.copyProperties(item, data);
result.add(data);
});
dataHarmphasicI.saveOrUpdateBatchByMultiId(result);
}
}

35
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmphasicVImpl.java
View File

@@ -1,17 +1,25 @@
package com.njcn.dataProcess.service.impl.relation;
import com.njcn.dataProcess.dto.DataHarmphasicVDTO;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.dataProcess.dao.relation.mapper.DataHarmphasicVRelationMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPhasicVRelationMapper;
import com.njcn.dataProcess.dto.DataHarmphasicVDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.relation.DataHarmphasicV;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPhasicVDto;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPhasicVD;
import com.njcn.dataProcess.service.IDataHarmphasicV;
import com.njcn.dataProcess.util.BeanFeildUtils;
import com.njcn.dataProcess.util.TimeUtils;
import lombok.RequiredArgsConstructor;
import org.apache.commons.collections4.ListUtils;
import org.springframework.beans.BeanUtils;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
@@ -25,8 +33,12 @@ import java.util.stream.Collectors;
*/
@Service("RelationDataHarmphasicVImpl")
@RequiredArgsConstructor
public class RelationDataHarmphasicVImpl implements IDataHarmphasicV {
public class RelationDataHarmphasicVImpl extends MppServiceImpl<RStatDataHarmPhasicVRelationMapper, RStatDataHarmPhasicVD> implements IDataHarmphasicV {
private final DataHarmphasicVRelationMapper dataHarmphasicVRelationMapper;
@Resource
private IDataHarmphasicV dataHarmphasicV;
@Override
public void batchInsertion(List<DataHarmphasicVDTO> dataHarmphasicVDTOList) {
int totalCount = dataHarmphasicVDTOList.size();
@@ -58,5 +70,24 @@ public class RelationDataHarmphasicVImpl implements IDataHarmphasicV {
return Collections.emptyList();
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
return Collections.emptyList();
}
@Override
public void addList(List<DataHarmPhasicVDto> list) {
List<RStatDataHarmPhasicVD> result = new ArrayList<>();
list.forEach(item->{
RStatDataHarmPhasicVD data = new RStatDataHarmPhasicVD();
data.setTime(TimeUtils.LocalDataTimeToLocalDate2(item.getTime()));
data.setPhasicType(item.getPhasicType());
data.setQualityFlag(Integer.valueOf(item.getQualityFlag()));
BeanUtils.copyProperties(item, data);
result.add(data);
});
dataHarmphasicV.saveOrUpdateBatchByMultiId(result);
}
}

34
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmpowerPImpl.java
View File

@@ -1,18 +1,25 @@
package com.njcn.dataProcess.service.impl.relation;
import com.njcn.dataProcess.dto.DataHarmpowerPDTO;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.dataProcess.dao.relation.mapper.DataHarmpowerPRelationMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPowerPRelationMapper;
import com.njcn.dataProcess.dto.DataHarmpowerPDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.relation.DataHarmpowerP;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPowerPDto;
import com.njcn.dataProcess.pojo.dto.DataPowerPDto;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerPD;
import com.njcn.dataProcess.service.IDataHarmpowerP;
import com.njcn.dataProcess.util.BeanFeildUtils;
import com.njcn.dataProcess.util.TimeUtils;
import lombok.RequiredArgsConstructor;
import org.apache.commons.collections4.ListUtils;
import org.springframework.beans.BeanUtils;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
@@ -26,9 +33,11 @@ import java.util.stream.Collectors;
*/
@Service("RelationDataHarmpowerPImpl")
@RequiredArgsConstructor
public class RelationDataHarmpowerPImpl implements IDataHarmpowerP {
public class RelationDataHarmpowerPImpl extends MppServiceImpl<RStatDataHarmPowerPRelationMapper, RStatDataHarmPowerPD> implements IDataHarmpowerP {
private final DataHarmpowerPRelationMapper dataHarmpowerPRelationMapper;
@Resource
private IDataHarmpowerP dataHarmPowerP;
@Override
public void batchInsertion(List<DataHarmpowerPDTO> dataHarmpowerPDTOList) {
@@ -61,4 +70,23 @@ public class RelationDataHarmpowerPImpl implements IDataHarmpowerP {
public List<DataPowerPDto> getRawData(LineCountEvaluateParam lineParam) {
return Collections.emptyList();
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
return Collections.emptyList();
}
@Override
public void addList(List<DataHarmPowerPDto> list) {
List<RStatDataHarmPowerPD> result = new ArrayList<>();
list.forEach(item->{
RStatDataHarmPowerPD data = new RStatDataHarmPowerPD();
data.setTime(TimeUtils.LocalDataTimeToLocalDate2(item.getTime()));
data.setPhasicType(item.getPhasicType());
data.setQualityFlag(Integer.valueOf(item.getQualityFlag()));
BeanUtils.copyProperties(item, data);
result.add(data);
});
dataHarmPowerP.saveOrUpdateBatchByMultiId(result);
}
}

37
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataHarmpowerQImpl.java
View File

@@ -1,16 +1,26 @@
package com.njcn.dataProcess.service.impl.relation;
import com.njcn.dataProcess.dto.DataHarmpowerQDTO;
import com.njcn.dataProcess.po.relation.DataHarmpowerQ;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.dataProcess.dao.relation.mapper.DataHarmpowerQRelationMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmPowerQRelationMapper;
import com.njcn.dataProcess.dto.DataHarmpowerQDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.relation.DataHarmpowerQ;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmPowerQDto;
import com.njcn.dataProcess.pojo.po.RStatDataHarmPowerQD;
import com.njcn.dataProcess.service.IDataHarmpowerQ;
import com.njcn.dataProcess.util.BeanFeildUtils;
import com.njcn.dataProcess.util.TimeUtils;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.collections4.ListUtils;
import org.springframework.beans.BeanUtils;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
@@ -24,8 +34,10 @@ import java.util.stream.Collectors;
@Service("RelationDataHarmpowerQImpl")
@RequiredArgsConstructor
@Slf4j
public class RelationDataHarmpowerQImpl implements IDataHarmpowerQ {
public class RelationDataHarmpowerQImpl extends MppServiceImpl<RStatDataHarmPowerQRelationMapper, RStatDataHarmPowerQD> implements IDataHarmpowerQ {
private final DataHarmpowerQRelationMapper dataHarmpowerQRelationMapper;
@Resource
private IDataHarmpowerQ dataHarmpowerQ;
@Override
public void batchInsertion(List<DataHarmpowerQDTO> dataHarmpowerQDTOList) {
int totalCount = dataHarmpowerQDTOList.size();
@@ -56,4 +68,23 @@ public class RelationDataHarmpowerQImpl implements IDataHarmpowerQ {
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
return Collections.emptyList();
}
@Override
public void addList(List<DataHarmPowerQDto> list) {
List<RStatDataHarmPowerQD> result = new ArrayList<>();
list.forEach(item->{
RStatDataHarmPowerQD data = new RStatDataHarmPowerQD();
data.setTime(TimeUtils.LocalDataTimeToLocalDate2(item.getTime()));
data.setPhasicType(item.getPhasicType());
data.setQualityFlag(Integer.valueOf(item.getQualityFlag()));
BeanUtils.copyProperties(item, data);
result.add(data);
});
dataHarmpowerQ.saveOrUpdateBatchByMultiId(result);
}
}

35
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataIImpl.java
View File

@@ -1,19 +1,24 @@
package com.njcn.dataProcess.service.impl.relation;
import com.njcn.dataProcess.dto.DataIDTO;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.dataProcess.dao.relation.mapper.DataIRelationMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataIRelationMapper;
import com.njcn.dataProcess.dto.DataIDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.relation.DataI;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataIDto;
import com.njcn.dataProcess.pojo.po.RStatDataID;
import com.njcn.dataProcess.service.IDataI;
import com.njcn.dataProcess.util.BeanFeildUtils;
import com.njcn.dataProcess.util.TimeUtils;
import lombok.RequiredArgsConstructor;
import org.apache.commons.collections4.ListUtils;
import org.springframework.beans.BeanUtils;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
@@ -27,9 +32,14 @@ import java.util.stream.Collectors;
*/
@Service("RelationDataIImpl")
@RequiredArgsConstructor
public class RelationDataIImpl implements IDataI {
public class RelationDataIImpl extends MppServiceImpl<RStatDataIRelationMapper, RStatDataID> implements IDataI {
@Resource
private DataIRelationMapper dataIRelationMapper;
@Resource
private IDataI iDataI;
@Override
public void batchInsertion(List<DataIDTO> dataIDTOList) {
int totalCount = dataIDTOList.size();
@@ -59,4 +69,23 @@ public class RelationDataIImpl implements IDataI {
public List<DataIDto> getRawData(LineCountEvaluateParam lineParam) {
return Collections.emptyList();
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
return Collections.emptyList();
}
@Override
public void addList(List<DataIDto> dataIDtoList) {
List<RStatDataID> result = new ArrayList<>();
dataIDtoList.forEach(item->{
RStatDataID dataI = new RStatDataID();
dataI.setTime(TimeUtils.LocalDataTimeToLocalDate2(item.getTime()));
dataI.setPhasicType(item.getPhasicType());
dataI.setQualityFlag(Integer.valueOf(item.getQualityFlag()));
BeanUtils.copyProperties(item, dataI);
result.add(dataI);
});
iDataI.saveOrUpdateBatchByMultiId(result);
}
}

1
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataVImpl.java
View File

@@ -41,7 +41,6 @@ public class RelationDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
private DataVRelationMapper dataVRelationMapper;
@Resource
@InsertBean
private IDataV iDataV;
@Override