This commit is contained in:
wr
2025-04-07 13:37:52 +08:00
parent af59a427f1
commit b8c3f4d08c
6 changed files with 21 additions and 41 deletions

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@@ -104,6 +104,21 @@
<artifactId>pq-device-api</artifactId> <artifactId>pq-device-api</artifactId>
<version>${project.version}</version> <version>${project.version}</version>
</dependency> </dependency>
<dependency>
<groupId>com.njcn</groupId>
<artifactId>common-event</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>com.njcn</groupId>
<artifactId>event-api</artifactId>
<version>${project.version}</version>
</dependency>
<dependency>
<groupId>com.njcn</groupId>
<artifactId>supervision-api</artifactId>
<version>${project.version}</version>
</dependency>
</dependencies> </dependencies>
<build> <build>

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@@ -242,11 +242,11 @@ public class SpecialAnalysisServiceImpl implements ISpecialAnalysisService {
minTime.set(dto, "[]"); minTime.set(dto, "[]");
} else { } else {
List<String> mins = min[i].stream().distinct().collect(Collectors.toList()); List<String> mins = min[i].stream().distinct().collect(Collectors.toList());
minTime.set(dto, JSON.toJSONString(mins));
List<String> limitTime = dataLimitRateDetailFeignClient.getLimitRateDetailTime(lineId, calculatedParam.getDataDate()).getData(); List<String> limitTime = dataLimitRateDetailFeignClient.getLimitRateDetailTime(lineId, calculatedParam.getDataDate()).getData();
if (CollUtil.isNotEmpty(limitTime)) { if (CollUtil.isNotEmpty(limitTime)) {
List<String> collect = mins.stream().filter(x -> limitTime.contains(x)).collect(Collectors.toList()); List<String> collect = mins.stream().filter(x -> limitTime.contains(x)).sorted().collect(Collectors.toList());
if (CollUtil.isNotEmpty(collect)) { if (CollUtil.isNotEmpty(collect)) {
minTime.set(dto, JSON.toJSONString(collect));
isOrNot.set(dto, 1); isOrNot.set(dto, 1);
} }
} }

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@@ -9,7 +9,6 @@ import com.njcn.dataProcess.dao.relation.mapper.RStatDataHarmRateVRelationMapper
import com.njcn.dataProcess.dto.DataHarmrateVDTO; import com.njcn.dataProcess.dto.DataHarmrateVDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam; import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataHarmrateV; import com.njcn.dataProcess.po.influx.DataHarmrateV;
import com.njcn.dataProcess.po.influx.DataV;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmDto; import com.njcn.dataProcess.pojo.dto.DataHarmDto;
import com.njcn.dataProcess.pojo.dto.DataHarmRateVDto; import com.njcn.dataProcess.pojo.dto.DataHarmRateVDto;
@@ -215,7 +214,7 @@ public class InfluxdbDataHarmRateVImpl extends MppServiceImpl<RStatDataHarmRateV
.between(DataHarmrateV::getTime, lineParam.getStartTime(), lineParam.getEndTime()) .between(DataHarmrateV::getTime, lineParam.getStartTime(), lineParam.getEndTime())
.eq(DataHarmrateV::getQualityFlag,"0"); .eq(DataHarmrateV::getQualityFlag,"0");
if(CollUtil.isNotEmpty(lineParam.getPhasicType())){ if(CollUtil.isNotEmpty(lineParam.getPhasicType())){
influxQueryWrapper.regular(DataV::getPhasicType,lineParam.getPhasicType()); influxQueryWrapper.regular(DataHarmrateV::getPhasicType,lineParam.getPhasicType());
} }
List<DataHarmrateV> list = dataHarmRateVMapper.selectByQueryWrapper(influxQueryWrapper); List<DataHarmrateV> list = dataHarmRateVMapper.selectByQueryWrapper(influxQueryWrapper);
Map<String,List<DataHarmrateV>> lineMap = list.stream().collect(Collectors.groupingBy(DataHarmrateV::getLineId)); Map<String,List<DataHarmrateV>> lineMap = list.stream().collect(Collectors.groupingBy(DataHarmrateV::getLineId));

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@@ -9,7 +9,6 @@ import com.njcn.dataProcess.dao.relation.mapper.RStatDataIRelationMapper;
import com.njcn.dataProcess.dto.DataIDTO; import com.njcn.dataProcess.dto.DataIDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam; import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataI; import com.njcn.dataProcess.po.influx.DataI;
import com.njcn.dataProcess.po.influx.DataV;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataIDto; import com.njcn.dataProcess.pojo.dto.DataIDto;
import com.njcn.dataProcess.pojo.po.RStatDataID; import com.njcn.dataProcess.pojo.po.RStatDataID;
@@ -214,7 +213,7 @@ public class InfluxdbDataIImpl extends MppServiceImpl<RStatDataIRelationMapper,
.between(DataI::getTime, lineParam.getStartTime(), lineParam.getEndTime()) .between(DataI::getTime, lineParam.getStartTime(), lineParam.getEndTime())
.eq(DataI::getQualityFlag,"0"); .eq(DataI::getQualityFlag,"0");
if(CollUtil.isNotEmpty(lineParam.getPhasicType())){ if(CollUtil.isNotEmpty(lineParam.getPhasicType())){
influxQueryWrapper.regular(DataV::getPhasicType,lineParam.getPhasicType()); influxQueryWrapper.regular(DataI::getPhasicType,lineParam.getPhasicType());
} }
List<DataI> list = dataIMapper.selectByQueryWrapper(influxQueryWrapper); List<DataI> list = dataIMapper.selectByQueryWrapper(influxQueryWrapper);
Map<String,List<DataI>> lineMap = list.stream().collect(Collectors.groupingBy(DataI::getLineId)); Map<String,List<DataI>> lineMap = list.stream().collect(Collectors.groupingBy(DataI::getLineId));

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@@ -10,7 +10,6 @@ import com.njcn.dataProcess.dto.DataInharmVDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam; import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataI; import com.njcn.dataProcess.po.influx.DataI;
import com.njcn.dataProcess.po.influx.DataInharmV; import com.njcn.dataProcess.po.influx.DataInharmV;
import com.njcn.dataProcess.po.influx.DataV;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto; import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataHarmDto; import com.njcn.dataProcess.pojo.dto.DataHarmDto;
import com.njcn.dataProcess.pojo.dto.DataInHarmVDto; import com.njcn.dataProcess.pojo.dto.DataInHarmVDto;
@@ -198,10 +197,10 @@ public class InfluxdbDataInharmVImpl extends MppServiceImpl<RStatDataInHarmVRela
.select(DataInharmV::getPhasicType) .select(DataInharmV::getPhasicType)
.select(DataInharmV::getValueType) .select(DataInharmV::getValueType)
.select(DataInharmV::getQualityFlag) .select(DataInharmV::getQualityFlag)
.between(DataI::getTime, lineParam.getStartTime(), lineParam.getEndTime()) .between(DataInharmV::getTime, lineParam.getStartTime(), lineParam.getEndTime())
.eq(DataI::getQualityFlag,"0"); .eq(DataI::getQualityFlag,"0");
if(CollUtil.isNotEmpty(lineParam.getPhasicType())){ if(CollUtil.isNotEmpty(lineParam.getPhasicType())){
influxQueryWrapper.regular(DataV::getPhasicType,lineParam.getPhasicType()); influxQueryWrapper.regular(DataInharmV::getPhasicType,lineParam.getPhasicType());
} }
List<DataInharmV> list = dataInharmVMapper.selectByQueryWrapper(influxQueryWrapper); List<DataInharmV> list = dataInharmVMapper.selectByQueryWrapper(influxQueryWrapper);
Map<String,List<DataInharmV>> lineMap = list.stream().collect(Collectors.groupingBy(DataInharmV::getLineId)); Map<String,List<DataInharmV>> lineMap = list.stream().collect(Collectors.groupingBy(DataInharmV::getLineId));

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@@ -120,23 +120,6 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
@Override @Override
public List<DataVDto> getRawData(LineCountEvaluateParam lineParam) { public List<DataVDto> getRawData(LineCountEvaluateParam lineParam) {
Runtime runtime = Runtime.getRuntime();
// 获取 JVM 最大可用内存(以字节为单位)
long maxMemory = runtime.maxMemory();
// 获取 JVM 当前已分配的内存(以字节为单位)
long totalMemory = runtime.totalMemory();
// 获取 JVM 当前空闲内存(以字节为单位)
long freeMemory = runtime.freeMemory();
// 计算已使用的内存
long usedMemory = totalMemory - freeMemory;
System.out.println("最大可用内存: " + maxMemory / (1024 * 1024) + " MB");
System.out.println("当前已分配的内存: " + totalMemory / (1024 * 1024) + " MB");
System.out.println("当前空闲内存: " + freeMemory / (1024 * 1024) + " MB");
System.out.println("已使用的内存: " + usedMemory / (1024 * 1024) + " MB");
System.out.println("dataprocess第一次分析结束-----------------------------------------");
List<DataVDto> result = new ArrayList<>(); List<DataVDto> result = new ArrayList<>();
List<DataV> list = getMinuteDataV(lineParam); List<DataV> list = getMinuteDataV(lineParam);
list.forEach(item -> { list.forEach(item -> {
@@ -437,21 +420,6 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
private void quality(List<DataV> result, InfluxQueryWrapper influxQueryWrapper, LineCountEvaluateParam private void quality(List<DataV> result, InfluxQueryWrapper influxQueryWrapper, LineCountEvaluateParam
lineParam) { lineParam) {
List<DataV> list = dataVMapper.selectByQueryWrapper(influxQueryWrapper); List<DataV> list = dataVMapper.selectByQueryWrapper(influxQueryWrapper);
Runtime runtime = Runtime.getRuntime();
// 获取 JVM 最大可用内存(以字节为单位)
long maxMemory = runtime.maxMemory();
// 获取 JVM 当前已分配的内存(以字节为单位)
long totalMemory = runtime.totalMemory();
// 获取 JVM 当前空闲内存(以字节为单位)
long freeMemory = runtime.freeMemory();
// 计算已使用的内存
long usedMemory = totalMemory - freeMemory;
System.out.println("最大可用内存: " + maxMemory / (1024 * 1024) + " MB");
System.out.println("当前已分配的内存: " + totalMemory / (1024 * 1024) + " MB");
System.out.println("当前空闲内存: " + freeMemory / (1024 * 1024) + " MB");
System.out.println("已使用的内存: " + usedMemory / (1024 * 1024) + " MB");
System.out.println("dataprocess第二次分析结束-----------------------------------------");
if (CollUtil.isNotEmpty(list)) { if (CollUtil.isNotEmpty(list)) {
Map<String, List<DataV>> lineMap = list.stream().collect(Collectors.groupingBy(DataV::getLineId)); Map<String, List<DataV>> lineMap = list.stream().collect(Collectors.groupingBy(DataV::getLineId));