From 3058865fa4dfa634a92b4ebd826d8b1264dc90a3 Mon Sep 17 00:00:00 2001
From: houzhongjian <houzhongyi@126.com>
Date: 星期三, 05 三月 2025 15:04:41 +0800
Subject: [PATCH] Merge remote-tracking branch 'origin/master'
---
iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/PredictSampleDataConstructor.java | 167 +++++++++++++++++++++++++++++++++++++------------------
1 files changed, 112 insertions(+), 55 deletions(-)
diff --git a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/PredictSampleDataConstructor.java b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/PredictSampleDataConstructor.java
index 6b61389..6bd9314 100644
--- a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/PredictSampleDataConstructor.java
+++ b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/PredictSampleDataConstructor.java
@@ -1,5 +1,10 @@
package com.iailab.module.model.mdk.sample;
+import cn.hutool.core.date.DateUtil;
+import com.iailab.module.data.api.ind.IndItemApi;
+import com.iailab.module.data.api.ind.dto.ApiIndItemDTO;
+import com.iailab.module.data.api.ind.dto.ApiIndItemQueryDTO;
+import com.iailab.module.data.api.ind.dto.ApiIndItemValueDTO;
import com.iailab.module.data.api.plan.PlanItemApi;
import com.iailab.module.data.api.plan.dto.ApiPlanItemDTO;
import com.iailab.module.data.api.point.DataPointApi;
@@ -8,8 +13,7 @@
import com.iailab.module.data.api.point.dto.ApiPointValueQueryDTO;
import com.iailab.module.data.common.ApiDataQueryDTO;
import com.iailab.module.data.common.ApiDataValueDTO;
-import com.iailab.module.model.common.enums.OutResultType;
-import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity;
+import com.iailab.module.model.common.utils.ASCIIUtil;
import com.iailab.module.model.mcs.pre.service.MmItemOutputService;
import com.iailab.module.model.mcs.pre.service.MmItemResultJsonService;
import com.iailab.module.model.mcs.pre.service.MmItemResultService;
@@ -21,13 +25,13 @@
import com.iailab.module.model.mdk.sample.dto.SampleInfo;
import com.iailab.module.model.mdk.vo.DataValueVO;
import lombok.extern.slf4j.Slf4j;
-import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import org.springframework.util.CollectionUtils;
+import java.math.BigDecimal;
import java.util.*;
import java.util.stream.Collectors;
@@ -45,6 +49,9 @@
@Autowired
private PlanItemApi planItemApi;
+
+ @Autowired
+ private IndItemApi indItemApi;
@Autowired
private MmItemResultService mmItemResultService;
@@ -66,48 +73,94 @@
* @return
*/
@Override
- public List<SampleData> prepareSampleData(SampleInfo sampleInfo) throws Exception {
+ public List<SampleData> prepareSampleData(SampleInfo sampleInfo) throws Exception {
List<SampleData> sampleDataList = new ArrayList<>();
Map<String, ApiPointDTO> pointMap = sampleInfo.getPointMap();
Map<String, ApiPlanItemDTO> planMap = sampleInfo.getPlanMap();
- //对每个爪分别进行计算
- for (ColumnItemPort entry : sampleInfo.getColumnInfo()) {
- //先依据爪内数据项的modelParamOrder进行排序——重写comparator匿名函数
- Collections.sort(entry.getColumnItemList(), new Comparator<ColumnItem>() {
- @Override
- public int compare(ColumnItem o1, ColumnItem o2) {
- return o1.getModelParamOrder() - o2.getModelParamOrder();
- }
- });
-
- //默认都是double类型的数据,且按列向量进行拼接,默认初始值为0.0
- double[][] matrix = new double[entry.getDataLength()][entry.getColumnItemList().size()];
- for (int i = 0; i < entry.getColumnItemList().size(); i++) {
- for (int j = 0; j < entry.getDataLength(); j++) {
- matrix[j][i] = -2.0;
+ Map<String, ApiIndItemDTO> indMap = sampleInfo.getIndMap();
+ // 校验数据
+ for (ColumnItemPort itemPort : sampleInfo.getColumnInfo()) {
+ for (ColumnItem columnItem : itemPort.getColumnItemList()) {
+ if (columnItem.getParamType().equals(ModelParamType.IND_ASCII.getCode())) {
+ if (columnItem.getModelParamOrder() != 1 || itemPort.getColumnItemList().size() != 1) {
+ throw new RuntimeException("模型输入数据异常：IND_ASCII类型输入独占一个端口；ParamPortOrder:" + columnItem.getModelParamPortOrder() + ",ParamOrder:" + columnItem.getModelParamOrder());
+ }
}
}
+ }
- //对每一项依次进行数据查询,然后将查询出的值赋给matrix对应的位置
- for (int i = 0; i < entry.getColumnItemList().size(); i++) {
- try {
- List<DataValueVO> dataEntityList = getData(entry.getColumnItemList().get(i),pointMap,planMap);
- //补全数据
- ColumnItem columnItem = entry.getColumnItemList().get(i);
- dataEntityList = super.completionData(matrix.length, dataEntityList, columnItem.startTime, columnItem.endTime,
- columnItem.paramId, columnItem.getParamType(),pointMap,planMap);
-
- /** 如果数据取不满，把缺失的数据点放在后面 */
- if (dataEntityList != null && dataEntityList.size() != 0) {
- logger.info("设置matrix, i = " + i + ", size = " + dataEntityList.size());
- for (int k = 0; k < dataEntityList.size(); k++) {
- matrix[k][i] = dataEntityList.get(k).getDataValue();
- }
+ int portIdx = 1;
+ //对每个爪分别进行计算
+ for (ColumnItemPort entry : sampleInfo.getColumnInfo()) {
+ double[][] matrix = new double[0][0];
+ // 特殊处理IND_ASCII类型
+ if (entry.getColumnItemList().get(0).getParamType().equals(ModelParamType.IND_ASCII.getCode())) {
+ // 获取指标数据
+ ColumnItem columnItem = entry.getColumnItemList().get(0);
+ ApiIndItemQueryDTO queryIndItemDTO = new ApiIndItemQueryDTO();
+ ApiIndItemDTO intItem = indMap.get(columnItem.getParamId());
+ queryIndItemDTO.setItemNo(intItem.getItemNo());
+ queryIndItemDTO.setStart(columnItem.getStartTime());
+ queryIndItemDTO.setEnd(columnItem.getEndTime());
+ List<ApiIndItemValueDTO> indItemValueList = indItemApi.queryIndItemHistoryValue(queryIndItemDTO);
+ if (!CollectionUtils.isEmpty(indItemValueList)) {
+ matrix = new double[entry.getDataLength()][0];
+ if (indItemValueList.size() > entry.getDataLength()) {
+ indItemValueList = indItemValueList.subList(0, entry.getDataLength());
}
- } catch (Exception e) {
- e.printStackTrace();
- throw e;
+ for (int i = 0; i < indItemValueList.size(); i++) {
+ String stringValue = indItemValueList.get(i).getDataValue().toString();
+ double[] asciiArray = ASCIIUtil.stringToAsciiArray(stringValue);
+ matrix[i] = asciiArray;
+ }
}
+ } else {
+ //先依据爪内数据项的modelParamOrder进行排序——重写comparator匿名函数
+ Collections.sort(entry.getColumnItemList(), new Comparator<ColumnItem>() {
+ @Override
+ public int compare(ColumnItem o1, ColumnItem o2) {
+ return o1.getModelParamOrder() - o2.getModelParamOrder();
+ }
+ });
+
+ //默认都是double类型的数据,且按列向量进行拼接,默认初始值为0.0
+ matrix = new double[entry.getDataLength()][entry.getColumnItemList().size()];
+ for (int i = 0; i < entry.getColumnItemList().size(); i++) {
+ for (int j = 0; j < entry.getDataLength(); j++) {
+ matrix[j][i] = -2.0;
+ }
+ }
+
+ //对每一项依次进行数据查询,然后将查询出的值赋给matrix对应的位置
+ for (int i = 0; i < entry.getColumnItemList().size(); i++) {
+ try {
+ List<DataValueVO> dataEntityList = getData(entry.getColumnItemList().get(i), pointMap, planMap, indMap);
+
+ //补全数据
+ ColumnItem columnItem = entry.getColumnItemList().get(i);
+ dataEntityList = super.completionData(matrix.length, dataEntityList, columnItem.startTime, columnItem.endTime, columnItem.getParamType(), columnItem.getGranularity());
+
+
+ /** 如果数据取不满，把缺失的数据点放在后面 */
+ if (dataEntityList != null && dataEntityList.size() != 0) {
+ logger.info("设置matrix, i = " + i + ", size = " + dataEntityList.size());
+ // 调整值
+ double adjustVal = SampleInfo.getAdjustValueFromDeviation(portIdx, i + 1, sampleInfo.getDeviation());
+ for (int k = 0; k < dataEntityList.size(); k++) {
+ Double dataValue = dataEntityList.get(k).getDataValue();
+ if (null != dataValue) {
+ // 用BigDecimal计算，解决double精度问题
+ matrix[k][i] = BigDecimal.valueOf(dataValue).add(BigDecimal.valueOf(adjustVal)).doubleValue();
+ }
+ }
+ }
+ } catch (Exception e) {
+ e.printStackTrace();
+ throw e;
+ }
+ }
+
+ portIdx++;
}
SampleData sampleData = new SampleData();
sampleData.setMatrix(matrix);
@@ -122,10 +175,11 @@
* @param columnItem
* @param pointMap
* @param planMap
+ * @param indMap
* @return
* @throws Exception
*/
- private List<DataValueVO> getData(ColumnItem columnItem, Map<String, ApiPointDTO> pointMap, Map<String, ApiPlanItemDTO> planMap) throws Exception {
+ private List<DataValueVO> getData(ColumnItem columnItem, Map<String, ApiPointDTO> pointMap, Map<String, ApiPlanItemDTO> planMap, Map<String, ApiIndItemDTO> indMap) throws Exception {
List<DataValueVO> dataList = new ArrayList<>();
String paramType = columnItem.getParamType();
switch (ModelParamType.getEumByCode(paramType)) {
@@ -147,23 +201,7 @@
break;
case NORMALITEM:
case MERGEITEM:
- MmItemOutputEntity outPut = mmItemOutputService.getOutPutById(columnItem.getParamId());
- OutResultType outResultType = OutResultType.getEumByCode(outPut.getResultType());
- List<DataValueVO> predictValue = new ArrayList<>();
-
- // double类型特殊处理
- if (outResultType.equals(OutResultType.D)) {
- // columnItem.getStartTime()就是预测时间
- String doubleData = mmItemResultJsonService.getDoubleData(outPut.getId(), columnItem.getStartTime());
- if (StringUtils.isNotBlank(doubleData)) {
- DataValueVO dataValueVO = new DataValueVO();
- dataValueVO.setDataTime(columnItem.getStartTime());
- dataValueVO.setDataValue(Double.valueOf(doubleData));
- predictValue.add(dataValueVO);
- }
- } else {
- predictValue = mmItemResultService.getPredictValue(outPut.getId(), columnItem.getStartTime(), columnItem.getEndTime());
- }
+ List<DataValueVO> predictValue = mmItemResultService.getPredictValue(columnItem.getParamId(), columnItem.getStartTime(), columnItem.getEndTime());
if (CollectionUtils.isEmpty(predictValue)) {
break;
@@ -185,6 +223,25 @@
vo.setDataValue(t.getDataValue());
return vo;
}).collect(Collectors.toList());
+ break;
+ case IND:
+ ApiIndItemQueryDTO queryIndItemDTO = new ApiIndItemQueryDTO();
+ ApiIndItemDTO intItem = indMap.get(columnItem.getParamId());
+ queryIndItemDTO.setItemNo(intItem.getItemNo());
+ queryIndItemDTO.setStart(columnItem.getStartTime());
+ queryIndItemDTO.setEnd(columnItem.getEndTime());
+ List<ApiIndItemValueDTO> indItemValueList = indItemApi.queryIndItemHistoryValue(queryIndItemDTO);
+ if (CollectionUtils.isEmpty(indItemValueList)) {
+ break;
+ }
+
+ dataList = indItemValueList.stream().map(t -> {
+ DataValueVO vo = new DataValueVO();
+ vo.setDataTime(DateUtil.parse(t.getDataTime()));
+ vo.setDataValue(Double.valueOf(t.getDataValue().toString()));
+ return vo;
+ }).collect(Collectors.toList());
+ break;
default:
break;
}
--
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