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feat(algorithm): 添加监测点接线方式缓存优化数据处理逻辑

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- 在ExecutionCenter中引入CsLineDTO和RedisUtil依赖
- 实现监测点、接线方式数据缓存到Redis功能，设置3小时过期时间
- 修改wlMeasurementPointExecutor方法使用缓存的线路ID列表
- 在数据处理服务中添加Gson和TypeToken用于JSON序列化
- 实现根据接线方式过滤电压类型数据的功能
- 添加线电压和相电压类型常量定义
- 优化数据查询逻辑，按监测点分组后根据接线方式过滤多余数据
- 实现线电压数据向相电压数据的特殊处理逻辑
- 统一返回经过接线方式过滤后的数据结果
This commit is contained in:
xy
2026-06-24 14:47:05 +08:00
parent aa9dc1b00a
commit 69df89f2e8
7 changed files with 319 additions and 54 deletions
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24
algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/ExecutionCenter.java
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@@ -16,6 +16,7 @@ import com.njcn.common.pojo.annotation.OperateInfo;
import com.njcn.common.pojo.enums.common.LogEnum;
import com.njcn.common.pojo.exception.BusinessException;
import com.njcn.csdevice.api.CsLineFeignClient;
import com.njcn.csdevice.pojo.dto.CsLineDTO;
import com.njcn.device.biz.commApi.CommTerminalGeneralClient;
import com.njcn.device.biz.pojo.dto.DeptGetChildrenMoreDTO;
import com.njcn.device.biz.pojo.dto.DeptGetDeviceDTO;
@@ -23,6 +24,7 @@ import com.njcn.device.biz.pojo.dto.DeptGetSubStationDTO;
import com.njcn.device.biz.pojo.dto.LineDevGetDTO;
import com.njcn.device.biz.pojo.param.DeptGetLineParam;
import com.njcn.device.pq.api.DeptLineFeignClient;
import com.njcn.redis.utils.RedisUtil;
import com.njcn.user.api.DeptFeignClient;
import com.njcn.user.pojo.po.Dept;
import com.njcn.web.controller.BaseController;
@@ -73,6 +75,8 @@ public class ExecutionCenter extends BaseController {
private CsLineFeignClient csLineFeignClient;
@Resource
private FlowAsyncService flowService;
@Resource
private RedisUtil redisUtil;
/***
* 1、校验非全链执行时，tagNames节点标签集合必须为非空，否则提示---无可执行节点
@@ -143,9 +147,27 @@ public class ExecutionCenter extends BaseController {
String methodDescribe = getMethodDescribe("wlMeasurementPointExecutor");
//手动判断参数是否合法,
CalculatedParam calculatedParam = judgeExecuteParam(baseParam);
//缓存监测点、接线方式数据
List<CsLineDTO> csLineDTOList = csLineFeignClient.getAllLineDetail().getData();
List<String> lineIdList = new ArrayList<>();
Map<String, Integer> lineConTypeMap = new HashMap<>();
if (CollectionUtils.isNotEmpty(csLineDTOList)) {
lineIdList = csLineDTOList.stream().map(CsLineDTO::getLineId).collect(Collectors.toList());
//接线方式(0-星型 1-角型 2-V型)
lineConTypeMap = csLineDTOList.stream()
.filter(dto -> dto.getLineId() != null)
.collect(Collectors.toMap(
CsLineDTO::getLineId,
dto -> dto.getConType() != null ? dto.getConType() : 0,
(v1, v2) -> v1
));
redisUtil.saveByKeyWithExpire("wlLineDetail", lineConTypeMap, 3600L*3);
}
// 测点索引
if (CollectionUtils.isEmpty(calculatedParam.getIdList())) {
calculatedParam.setIdList(csLineFeignClient.getAllLine().getData());
calculatedParam.setIdList(lineIdList);
} else {
calculatedParam.setIdList(calculatedParam.getIdList());
}
LiteflowResponse liteflowResponse;
if (baseParam.isRepair()) {

51
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataFlickerImpl.java
View File

@@ -3,6 +3,8 @@ package com.njcn.dataProcess.service.impl.influxdb;
import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.collection.CollectionUtil;
import cn.hutool.core.util.ObjectUtil;
import com.alibaba.nacos.shaded.com.google.common.reflect.TypeToken;
import com.alibaba.nacos.shaded.com.google.gson.Gson;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.dataProcess.dao.imapper.DataFlickerMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataFlickerRelationMapper;
@@ -15,11 +17,14 @@ 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 com.njcn.redis.utils.RedisUtil;
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.lang.reflect.Type;
import java.time.LocalDateTime;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
@@ -38,15 +43,19 @@ import java.util.stream.Collectors;
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());
private final DataFlickerMapper dataFlickerMapper;
private static final Map<String, String> PHASE_MAPPING = new HashMap<String, String>() {{
put("AB", "A");
put("BC", "B");
put("CA", "C");
put("M", "T");
}};
@Resource
private RedisUtil redisUtil;
private static final Set<String> LINE_VOLTAGE_TYPES =
Collections.unmodifiableSet(new HashSet<>(Arrays.asList("AB", "BC", "CA", "T")));
private static final Set<String> PHASE_VOLTAGE_TYPES =
Collections.unmodifiableSet(new HashSet<>(Arrays.asList("A", "B", "C", "T")));
@Override
@@ -229,6 +238,13 @@ public class InfluxdbDataFlickerImpl extends MppServiceImpl<RStatDataFlickerRela
*/
public List<DataFlicker> getMinuteData(LineCountEvaluateParam lineParam) {
List<DataFlicker> result = new ArrayList<>();
List<DataFlicker> data = new ArrayList<>();
//获取监测点、接线方式数据
Type type = new TypeToken<Map<String, Integer>>(){}.getType();
Map<String, Integer> map = new Gson().fromJson(
String.valueOf(redisUtil.getObjectByKey("wlLineDetail")),
type
);
InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataFlicker.class);
influxQueryWrapper.regular(DataFlicker::getLineId, lineParam.getLineId())
.select(DataFlicker::getLineId)
@@ -242,13 +258,30 @@ public class InfluxdbDataFlickerImpl extends MppServiceImpl<RStatDataFlickerRela
.eq(DataFlicker::getQualityFlag, "0");
quality(result, influxQueryWrapper, lineParam);
if (CollectionUtil.isNotEmpty(result)) {
result.forEach(item -> {
String newType = PHASE_MAPPING.get(item.getPhasicType());
if (newType != null) {
item.setPhasicType(newType);
}
});
if (!Objects.isNull(map)) {
//现根据监测点分组，然后根据接线方式排除多于数据，在修改相别
Map<String, List<DataFlicker>> lineMap = result.stream().collect(Collectors.groupingBy(DataFlicker::getLineId));
lineMap.forEach((k,v)->{
if (Objects.isNull(map.get(k))) {
return;
}
Integer conType = map.get(k);
Set<String> validPhasicTypes = (conType != 0) ? LINE_VOLTAGE_TYPES : PHASE_VOLTAGE_TYPES;
List<DataFlicker> result2 = v.stream().filter(item -> validPhasicTypes.contains(item.getPhasicType())).collect(Collectors.toList());
data.addAll(result2);
});
} else {
data.addAll(result);
}
if (CollectionUtil.isNotEmpty(data)) {
data.forEach(item -> {
String newType = PHASE_MAPPING.get(item.getPhasicType());
if (newType != null) {
item.setPhasicType(newType);
}
});
}
}
return result;
return data;
}
}

51
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataFlucImpl.java
View File

@@ -1,6 +1,8 @@
package com.njcn.dataProcess.service.impl.influxdb;
import cn.hutool.core.collection.CollectionUtil;
import com.alibaba.nacos.shaded.com.google.common.reflect.TypeToken;
import com.alibaba.nacos.shaded.com.google.gson.Gson;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.dataProcess.dao.imapper.DataFlucMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataFlucRelationMapper;
@@ -13,11 +15,14 @@ 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 com.njcn.redis.utils.RedisUtil;
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.lang.reflect.Type;
import java.time.LocalDateTime;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
@@ -36,15 +41,19 @@ import java.util.stream.Collectors;
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());
private final DataFlucMapper dataFlucMapper;
private static final Map<String, String> PHASE_MAPPING = new HashMap<String, String>() {{
put("AB", "A");
put("BC", "B");
put("CA", "C");
put("M", "T");
}};
@Resource
private RedisUtil redisUtil;
private static final Set<String> LINE_VOLTAGE_TYPES =
Collections.unmodifiableSet(new HashSet<>(Arrays.asList("AB", "BC", "CA", "T")));
private static final Set<String> PHASE_VOLTAGE_TYPES =
Collections.unmodifiableSet(new HashSet<>(Arrays.asList("A", "B", "C", "T")));
@Override
public void batchInsertion(List<DataFlucDTO> dataFlucDTOList) {
@@ -147,6 +156,13 @@ public class InfluxdbDataFlucImpl extends MppServiceImpl<RStatDataFlucRelationMa
public List<DataFluc> getMinuteData(List<String> lineList, String startTime, String endTime, Map<String,List<String>> timeMap, Boolean dataType) {
List<DataFluc> dataList;
List<DataFluc> result = new ArrayList<>();
List<DataFluc> data = new ArrayList<>();
//获取监测点、接线方式数据
Type type = new TypeToken<Map<String, Integer>>(){}.getType();
Map<String, Integer> map = new Gson().fromJson(
String.valueOf(redisUtil.getObjectByKey("wlLineDetail")),
type
);
InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataFluc.class);
influxQueryWrapper.regular(DataFluc::getLineId, lineList)
.select(DataFluc::getLineId)
@@ -195,14 +211,31 @@ public class InfluxdbDataFlucImpl extends MppServiceImpl<RStatDataFlucRelationMa
}
}
if (CollectionUtil.isNotEmpty(result)) {
result.forEach(item -> {
String newType = PHASE_MAPPING.get(item.getPhasicType());
if (newType != null) {
item.setPhasicType(newType);
}
});
if (!Objects.isNull(map)) {
//现根据监测点分组，然后根据接线方式排除多于数据，在修改相别
Map<String, List<DataFluc>> lineMap = result.stream().collect(Collectors.groupingBy(DataFluc::getLineId));
lineMap.forEach((k,v)->{
if (Objects.isNull(map.get(k))) {
return;
}
Integer conType = map.get(k);
Set<String> validPhasicTypes = (conType != 0) ? LINE_VOLTAGE_TYPES : PHASE_VOLTAGE_TYPES;
List<DataFluc> result2 = v.stream().filter(item -> validPhasicTypes.contains(item.getPhasicType())).collect(Collectors.toList());
data.addAll(result2);
});
} else {
data.addAll(result);
}
if (CollectionUtil.isNotEmpty(data)) {
data.forEach(item -> {
String newType = PHASE_MAPPING.get(item.getPhasicType());
if (newType != null) {
item.setPhasicType(newType);
}
});
}
}
return result;
return data;
}
}

53
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmRateVImpl.java
View File

@@ -2,6 +2,8 @@ package com.njcn.dataProcess.service.impl.influxdb;
import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.collection.CollectionUtil;
import com.alibaba.nacos.shaded.com.google.common.reflect.TypeToken;
import com.alibaba.nacos.shaded.com.google.gson.Gson;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.common.utils.HarmonicTimesUtil;
import com.njcn.dataProcess.constant.InfluxDBTableConstant;
@@ -9,6 +11,7 @@ import com.njcn.dataProcess.dao.imapper.DataHarmRateVMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmRateVRelationMapper;
import com.njcn.dataProcess.dto.DataHarmrateVDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataFlicker;
import com.njcn.dataProcess.po.influx.DataHarmrateV;
import com.njcn.dataProcess.po.influx.DataV;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
@@ -19,11 +22,14 @@ import com.njcn.dataProcess.service.IDataHarmRateV;
import com.njcn.dataProcess.util.TimeUtils;
import com.njcn.influx.constant.InfluxDbSqlConstant;
import com.njcn.influx.query.InfluxQueryWrapper;
import com.njcn.redis.utils.RedisUtil;
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.lang.reflect.Type;
import java.time.LocalDateTime;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
@@ -36,17 +42,20 @@ import java.util.stream.Collectors;
@Service("InfluxdbDataHarmRateVImpl")
@RequiredArgsConstructor
public class InfluxdbDataHarmRateVImpl extends MppServiceImpl<RStatDataHarmRateVRelationMapper, RStatDataHarmRateVD> implements IDataHarmRateV {
private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
private final DataHarmRateVMapper dataHarmRateVMapper;
private static final Map<String, String> PHASE_MAPPING = new HashMap<String, String>() {{
put("AB", "A");
put("BC", "B");
put("CA", "C");
put("M", "T");
}};
@Resource
private RedisUtil redisUtil;
private static final Set<String> LINE_VOLTAGE_TYPES =
Collections.unmodifiableSet(new HashSet<>(Arrays.asList("AB", "BC", "CA", "T")));
private static final Set<String> PHASE_VOLTAGE_TYPES =
Collections.unmodifiableSet(new HashSet<>(Arrays.asList("A", "B", "C", "T")));
@Override
public List<DataHarmDto> getRawData(LineCountEvaluateParam lineParam) {
@@ -244,6 +253,13 @@ public class InfluxdbDataHarmRateVImpl extends MppServiceImpl<RStatDataHarmRateV
public List<DataHarmrateV> getMinuteData(LineCountEvaluateParam lineParam) {
List<DataHarmrateV> dataList;
List<DataHarmrateV> result = new ArrayList<>();
List<DataHarmrateV> data = new ArrayList<>();
//获取监测点、接线方式数据
Type type = new TypeToken<Map<String, Integer>>(){}.getType();
Map<String, Integer> map = new Gson().fromJson(
String.valueOf(redisUtil.getObjectByKey("wlLineDetail")),
type
);
InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataHarmrateV.class);
influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.V, InfluxDbSqlConstant.V, HarmonicTimesUtil.harmonicTimesList(1, 50, 1));
influxQueryWrapper.regular(DataHarmrateV::getLineId, lineParam.getLineId())
@@ -295,13 +311,30 @@ public class InfluxdbDataHarmRateVImpl extends MppServiceImpl<RStatDataHarmRateV
}
}
if (CollectionUtil.isNotEmpty(result)) {
result.forEach(item -> {
String newType = PHASE_MAPPING.get(item.getPhasicType());
if (newType != null) {
item.setPhasicType(newType);
}
});
if (!Objects.isNull(map)) {
//现根据监测点分组，然后根据接线方式排除多于数据，在修改相别
Map<String, List<DataHarmrateV>> lineMap = result.stream().collect(Collectors.groupingBy(DataHarmrateV::getLineId));
lineMap.forEach((k,v)->{
if (Objects.isNull(map.get(k))) {
return;
}
Integer conType = map.get(k);
Set<String> validPhasicTypes = (conType != 0) ? LINE_VOLTAGE_TYPES : PHASE_VOLTAGE_TYPES;
List<DataHarmrateV> result2 = v.stream().filter(item -> validPhasicTypes.contains(item.getPhasicType())).collect(Collectors.toList());
data.addAll(result2);
});
} else {
data.addAll(result);
}
if (CollectionUtil.isNotEmpty(data)) {
data.forEach(item -> {
String newType = PHASE_MAPPING.get(item.getPhasicType());
if (newType != null) {
item.setPhasicType(newType);
}
});
}
}
return result;
return data;
}
}

50
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataHarmphasicVImpl.java
View File

@@ -2,6 +2,8 @@ package com.njcn.dataProcess.service.impl.influxdb;
import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.collection.CollectionUtil;
import com.alibaba.nacos.shaded.com.google.common.reflect.TypeToken;
import com.alibaba.nacos.shaded.com.google.gson.Gson;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.common.utils.HarmonicTimesUtil;
import com.njcn.dataProcess.dao.imapper.DataHarmphasicVMapper;
@@ -17,11 +19,14 @@ 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 com.njcn.redis.utils.RedisUtil;
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.lang.reflect.Type;
import java.time.LocalDateTime;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
@@ -41,13 +46,18 @@ public class InfluxdbDataHarmphasicVImpl extends MppServiceImpl<RStatDataHarmPha
private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
private final DataHarmphasicVMapper dataHarmphasicVMapper;
private static final Map<String, String> PHASE_MAPPING = new HashMap<String, String>() {{
put("AB", "A");
put("BC", "B");
put("CA", "C");
put("M", "T");
}};
@Resource
private RedisUtil redisUtil;
private static final Set<String> LINE_VOLTAGE_TYPES =
Collections.unmodifiableSet(new HashSet<>(Arrays.asList("AB", "BC", "CA", "T")));
private static final Set<String> PHASE_VOLTAGE_TYPES =
Collections.unmodifiableSet(new HashSet<>(Arrays.asList("A", "B", "C", "T")));
@Override
@@ -205,6 +215,13 @@ public class InfluxdbDataHarmphasicVImpl extends MppServiceImpl<RStatDataHarmPha
public List<DataHarmphasicV> getMinuteData(List<String> lineList, String startTime, String endTime, Map<String,List<String>> timeMap, Boolean dataType) {
List<DataHarmphasicV> dataList;
List<DataHarmphasicV> result = new ArrayList<>();
List<DataHarmphasicV> data = new ArrayList<>();
//获取监测点、接线方式数据
Type type = new TypeToken<Map<String, Integer>>(){}.getType();
Map<String, Integer> map = new Gson().fromJson(
String.valueOf(redisUtil.getObjectByKey("wlLineDetail")),
type
);
InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataHarmphasicV.class);
influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.V, InfluxDbSqlConstant.V, HarmonicTimesUtil.harmonicTimesList(1, 50, 1));
influxQueryWrapper.regular(DataHarmphasicV::getLineId, lineList)
@@ -253,13 +270,30 @@ public class InfluxdbDataHarmphasicVImpl extends MppServiceImpl<RStatDataHarmPha
}
}
if (CollectionUtil.isNotEmpty(result)) {
result.forEach(item -> {
String newType = PHASE_MAPPING.get(item.getPhasicType());
if (newType != null) {
item.setPhasicType(newType);
}
});
if (!Objects.isNull(map)) {
//现根据监测点分组，然后根据接线方式排除多于数据，在修改相别
Map<String, List<DataHarmphasicV>> lineMap = result.stream().collect(Collectors.groupingBy(DataHarmphasicV::getLineId));
lineMap.forEach((k,v)->{
if (Objects.isNull(map.get(k))) {
return;
}
Integer conType = map.get(k);
Set<String> validPhasicTypes = (conType != 0) ? LINE_VOLTAGE_TYPES : PHASE_VOLTAGE_TYPES;
List<DataHarmphasicV> result2 = v.stream().filter(item -> validPhasicTypes.contains(item.getPhasicType())).collect(Collectors.toList());
data.addAll(result2);
});
} else {
data.addAll(result);
}
if (CollectionUtil.isNotEmpty(data)) {
data.forEach(item -> {
String newType = PHASE_MAPPING.get(item.getPhasicType());
if (newType != null) {
item.setPhasicType(newType);
}
});
}
}
return result;
return data;
}
}

50
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataPltImpl.java
View File

@@ -2,6 +2,8 @@ package com.njcn.dataProcess.service.impl.influxdb;
import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.collection.CollectionUtil;
import com.alibaba.nacos.shaded.com.google.common.reflect.TypeToken;
import com.alibaba.nacos.shaded.com.google.gson.Gson;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.dataProcess.dao.imapper.DataPltMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataPltRelationMapper;
@@ -15,11 +17,14 @@ import com.njcn.dataProcess.pojo.po.RStatDataPltD;
import com.njcn.dataProcess.service.IDataPlt;
import com.njcn.dataProcess.util.TimeUtils;
import com.njcn.influx.query.InfluxQueryWrapper;
import com.njcn.redis.utils.RedisUtil;
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.lang.reflect.Type;
import java.time.LocalDateTime;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
@@ -39,13 +44,18 @@ public class InfluxdbDataPltImpl extends MppServiceImpl<RStatDataPltRelationMapp
private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
private final DataPltMapper dataPltMapper;
private static final Map<String, String> PHASE_MAPPING = new HashMap<String, String>() {{
put("AB", "A");
put("BC", "B");
put("CA", "C");
put("M", "T");
}};
@Resource
private RedisUtil redisUtil;
private static final Set<String> LINE_VOLTAGE_TYPES =
Collections.unmodifiableSet(new HashSet<>(Arrays.asList("AB", "BC", "CA", "T")));
private static final Set<String> PHASE_VOLTAGE_TYPES =
Collections.unmodifiableSet(new HashSet<>(Arrays.asList("A", "B", "C", "T")));
@Override
public void batchInsertion(List<DataPltDTO> dataPltDTOList) {
@@ -152,6 +162,13 @@ public class InfluxdbDataPltImpl extends MppServiceImpl<RStatDataPltRelationMapp
public List<DataPlt> getMinuteDataPlt(LineCountEvaluateParam lineParam) {
List<DataPlt> dataList;
List<DataPlt> result = new ArrayList<>();
List<DataPlt> data = new ArrayList<>();
//获取监测点、接线方式数据
Type type = new TypeToken<Map<String, Integer>>(){}.getType();
Map<String, Integer> map = new Gson().fromJson(
String.valueOf(redisUtil.getObjectByKey("wlLineDetail")),
type
);
InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataPlt.class);
influxQueryWrapper.regular(DataPlt::getLineId, lineParam.getLineId())
.select(DataPlt::getLineId)
@@ -202,13 +219,30 @@ public class InfluxdbDataPltImpl extends MppServiceImpl<RStatDataPltRelationMapp
}
}
if (CollectionUtil.isNotEmpty(result)) {
result.forEach(item -> {
String newType = PHASE_MAPPING.get(item.getPhasicType());
if (newType != null) {
item.setPhasicType(newType);
}
});
if (!Objects.isNull(map)) {
//现根据监测点分组，然后根据接线方式排除多于数据，在修改相别
Map<String, List<DataPlt>> lineMap = result.stream().collect(Collectors.groupingBy(DataPlt::getLineId));
lineMap.forEach((k,v)->{
if (Objects.isNull(map.get(k))) {
return;
}
Integer conType = map.get(k);
Set<String> validPhasicTypes = (conType != 0) ? LINE_VOLTAGE_TYPES : PHASE_VOLTAGE_TYPES;
List<DataPlt> result2 = v.stream().filter(item -> validPhasicTypes.contains(item.getPhasicType())).collect(Collectors.toList());
data.addAll(result2);
});
} else {
data.addAll(result);
}
if (CollectionUtil.isNotEmpty(data)) {
data.forEach(item -> {
String newType = PHASE_MAPPING.get(item.getPhasicType());
if (newType != null) {
item.setPhasicType(newType);
}
});
}
}
return result;
return data;
}
}

94
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataVImpl.java
View File

@@ -4,6 +4,8 @@ import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.collection.CollectionUtil;
import cn.hutool.core.collection.ListUtil;
import cn.hutool.core.util.ObjectUtil;
import com.alibaba.nacos.shaded.com.google.common.reflect.TypeToken;
import com.alibaba.nacos.shaded.com.google.gson.Gson;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.common.utils.HarmonicTimesUtil;
import com.njcn.dataProcess.constant.InfluxDBTableConstant;
@@ -24,16 +26,19 @@ import com.njcn.dataProcess.service.IDataV;
import com.njcn.dataProcess.util.TimeUtils;
import com.njcn.influx.constant.InfluxDbSqlConstant;
import com.njcn.influx.query.InfluxQueryWrapper;
import com.njcn.redis.utils.RedisUtil;
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.lang.reflect.Type;
import java.time.LocalDateTime;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
import java.util.*;
import java.util.function.Function;
import java.util.stream.Collectors;
/**
@@ -46,16 +51,20 @@ import java.util.stream.Collectors;
public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper, RStatDataVD> implements IDataV {
private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());
private static final Map<String, String> PHASE_MAPPING = new HashMap<String, String>() {{
put("AB", "A");
put("BC", "B");
put("CA", "C");
put("M", "T");
}};
@Resource
private DataVMapper dataVMapper;
@Resource
private RedisUtil redisUtil;
private static final Set<String> LINE_VOLTAGE_TYPES =
Collections.unmodifiableSet(new HashSet<>(Arrays.asList("AB", "BC", "CA", "T")));
private static final Set<String> PHASE_VOLTAGE_TYPES =
Collections.unmodifiableSet(new HashSet<>(Arrays.asList("A", "B", "C", "T")));
/**
* 注意：influxdb不推荐采用in函数的方式批量查询监测点的数据，效率很低，容易造成崩溃，故每次单测点查询
@@ -437,6 +446,13 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
*/
public List<DataV> getMinuteDataV(LineCountEvaluateParam lineParam) {
List<DataV> result = new ArrayList<>();
List<DataV> data = new ArrayList<>();
//获取监测点、接线方式数据
Type type = new TypeToken<Map<String, Integer>>(){}.getType();
Map<String, Integer> map = new Gson().fromJson(
String.valueOf(redisUtil.getObjectByKey("wlLineDetail")),
type
);
InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataV.class);
influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.V, InfluxDbSqlConstant.V, HarmonicTimesUtil.harmonicTimesList(1, 50, 1));
influxQueryWrapper.regular(DataV::getLineId, lineParam.getLineId())
@@ -463,14 +479,74 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
}
quality(result, influxQueryWrapper, lineParam);
if (CollectionUtil.isNotEmpty(result)) {
result.forEach(item -> {
String newType = PHASE_MAPPING.get(item.getPhasicType());
if (newType != null) {
item.setPhasicType(newType);
}
});
if (!Objects.isNull(map)) {
//现根据监测点分组，然后根据接线方式排除多于数据，在修改相别
Map<String, List<DataV>> lineMap = result.stream().collect(Collectors.groupingBy(DataV::getLineId));
lineMap.forEach((k,v)->{
if (Objects.isNull(map.get(k))) {
return;
}
//这边需要特殊处理下，将线电压数据赋值
Map<String, DataV> lineVoltageIndex = v.stream()
.filter(d -> PHASE_MAPPING.containsKey(d.getPhasicType()))
.filter(d -> d.getRmsLvr() != null)
.collect(Collectors.toMap(
d -> buildKey(d.getTime(), d.getValueType(), d.getPhasicType()),
Function.identity(),
(existing, replacement) -> existing
));
v.stream()
.filter(d -> PHASE_VOLTAGE_TYPES.contains(d.getPhasicType()))
.forEach(phaseData -> {
// 根据当前相电压反查对应的线电压相别
String targetLinePhasic = getReverseLinePhasic(phaseData.getPhasicType());
if (targetLinePhasic == null) {
return;
}
String key = buildKey(phaseData.getTime(), phaseData.getValueType(), targetLinePhasic);
DataV matchedLineData = lineVoltageIndex.get(key);
if (matchedLineData != null && matchedLineData.getRmsLvr() != null) {
phaseData.setRmsLvr(matchedLineData.getRmsLvr());
}
});
Integer conType = map.get(k);
Set<String> validPhasicTypes = (conType != 0) ? LINE_VOLTAGE_TYPES : PHASE_VOLTAGE_TYPES;
List<DataV> result2 = v.stream().filter(item -> validPhasicTypes.contains(item.getPhasicType())).collect(Collectors.toList());
data.addAll(result2);
});
} else {
data.addAll(result);
}
if (CollectionUtil.isNotEmpty(data)) {
data.forEach(item -> {
String newType = PHASE_MAPPING.get(item.getPhasicType());
if (newType != null) {
item.setPhasicType(newType);
}
});
}
}
return data;
}
private static String buildKey(Object time, Object valueType, Object phasicType) {
return time + "|" + valueType + "|" + phasicType;
}
private static String getReverseLinePhasic(String phaseType) {
if (phaseType == null) {
return null;
}
switch (phaseType) {
case "A":
return "AB";
case "B":
return "BC";
case "C":
return "CA";
default:
return null;
}
return result;
}
private void quality(List<DataV> result, InfluxQueryWrapper influxQueryWrapper, LineCountEvaluateParam lineParam) {