From 7f0bcd00c556889ba890e5e68c681f1b5d4267e1 Mon Sep 17 00:00:00 2001
From: dengzedong <dengzedong@email>
Date: 星期四, 19 十二月 2024 18:07:20 +0800
Subject: [PATCH] 预测项状态添加模型结果异常
---
iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictItemMergeHandlerImpl.java | 95 ++++++++++++++++++++++++-----------------------
1 files changed, 49 insertions(+), 46 deletions(-)
diff --git a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictItemMergeHandlerImpl.java b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictItemMergeHandlerImpl.java
index ef85630..dd8b826 100644
--- a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictItemMergeHandlerImpl.java
+++ b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictItemMergeHandlerImpl.java
@@ -4,6 +4,7 @@
import com.iailab.module.data.api.point.dto.ApiPointDTO;
import com.iailab.module.data.enums.DataPointFreqEnum;
import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity;
+import com.iailab.module.model.mcs.pre.enums.ItemRunStatusEnum;
import com.iailab.module.model.mcs.pre.service.MmItemOutputService;
import com.iailab.module.model.mcs.pre.service.MmItemResultService;
import com.iailab.module.model.mdk.common.enums.ItemPredictStatus;
@@ -21,6 +22,7 @@
import java.sql.Timestamp;
import java.util.*;
+import java.util.stream.Collectors;
/**
* @author PanZhibao
@@ -58,7 +60,7 @@
* @throws ItemInvokeException
*/
@Override
- public PredictResultVO predict(Date predictTime, ItemVO predictItemDto)
+ public PredictResultVO predict(Date predictTime, ItemVO predictItemDto, Map<String, double[]> predictValueMap, ItemRunStatusEnum itemRunStatusEnum)
throws ItemInvokeException {
PredictResultVO predictResult = new PredictResultVO();
ItemPredictStatus itemStatus = ItemPredictStatus.PREDICTING;
@@ -67,7 +69,6 @@
String expression = itemEntityFactory.getMergeItem(itemId).getExpression();
int predictLength = itemEntityFactory.getItemById(itemId).getPredictLength();
double[][] predictResultMat = new double[predictLength][1];
- Map<String, List<DataValueVO>> predictValueMap = new HashMap<>();
String[] mathOutPutId = expression.split("[\\+ \\-]");
ArrayList<Character> operator = new ArrayList<>();
for (int i = 0; i < expression.length(); i++) {
@@ -75,63 +76,65 @@
operator.add(expression.charAt(i));
}
}
- String[] compositionItem = expression.split(String.valueOf("&".toCharArray()));
+// String[] compositionItem = expression.split(String.valueOf("&".toCharArray()));
//是否为计算预测项
if (mathOutPutId.length > 1) {
- for (String outPutId : mathOutPutId) {
- if (outPutId.length() > 4) {
- Date endTime = predictTime;
-// ItemVO itemEntity = itemEntityFactory.getItemByItemNo(itemNo);
-// List<MmItemOutputEntity> outPutList = itemEntityFactory.getOutPutByItemId(itemEntity.getId());
- MmItemOutputEntity outPut = mmItemOutputService.getOutPutById(outPutId);
- ApiPointDTO pointEntity = dataPointApi.getInfoById(outPut.getPointid());
+// Map<String, List<DataValueVO>> predictValueMap = new HashMap<>();
+// for (String outPutId : mathOutPutId) {
+// if (outPutId.length() > 4) {
+// Date endTime = predictTime;
+//// ItemVO itemEntity = itemEntityFactory.getItemByItemNo(itemNo);
+//// List<MmItemOutputEntity> outPutList = itemEntityFactory.getOutPutByItemId(itemEntity.getId());
+// MmItemOutputEntity outPut = mmItemOutputService.getOutPutById(outPutId);
+// ApiPointDTO pointEntity = dataPointApi.getInfoById(outPut.getPointid());
+//
+// Calendar calendar = Calendar.getInstance();
+// calendar.setTime(endTime);
+// calendar.add(Calendar.SECOND, (predictLength - 1) * DataPointFreqEnum.getEumByCode(pointEntity.getMinfreqid()).getValue());
+// endTime = new Timestamp(calendar.getTime().getTime());
+//// List<DataValueVO> predictValueList = predictResultHandler.getPredictValueByItemNo(itemNo, predictTime, endTime);
+// List<DataValueVO> predictValueList = mmItemResultService.getPredictValue(outPutId, predictTime, endTime);
+// if (predictValueList.size() != predictLength) {
+// log.debug("merge项融合失败：缺少子项预测数据,对应子项outPutId=" + outPutId);
+// return null;
+// }
+// predictValueMap.put(outPutId, predictValueList);
+// }
+// }
- Calendar calendar = Calendar.getInstance();
- calendar.setTime(endTime);
- calendar.add(Calendar.SECOND, (predictLength - 1) * DataPointFreqEnum.getEumByCode(pointEntity.getMinfreqid()).getValue());
- endTime = new Timestamp(calendar.getTime().getTime());
-// List<DataValueVO> predictValueList = predictResultHandler.getPredictValueByItemNo(itemNo, predictTime, endTime);
- List<DataValueVO> predictValueList = mmItemResultService.getPredictValue(outPutId, predictTime, endTime);
- if (predictValueList.size() != predictLength) {
- log.debug("merge项融合失败：缺少子项预测数据,对应子项outPutId=" + outPutId);
- return null;
- }
- predictValueMap.put(outPutId, predictValueList);
- }
- }
for (Integer i = 0; i < predictLength; i++) {
double sum =0.0;
- sum = predictValueMap.get(mathOutPutId[0]).get(i).getDataValue();
+ sum = predictValueMap.get(mathOutPutId[0])[i];
for (int j = 1; j < mathOutPutId.length; j++) {
if (operator.get(j-1)=='+')
- {sum += predictValueMap.get(mathOutPutId[j]).get(i).getDataValue();}
+ {sum += predictValueMap.get(mathOutPutId[j])[i];}
if (operator.get(j-1)=='-')
- {sum -= predictValueMap.get(mathOutPutId[j]).get(i).getDataValue();}
+ {sum -= predictValueMap.get(mathOutPutId[j])[i];}
}
predictResultMat[i][0] = sum;
}
}
//是否为组合预测项
- if (compositionItem.length > 1) {
- Map<String, PredictResultVO> predictResultMap = new HashMap<>();
- Integer columnTotalNumber = 0;
- Integer rowNumber = 0;
- for (String itemNo : compositionItem) {
- PredictItemHandler predictItem = (PredictItemHandler) predictItemFactory.create(itemEntityFactory.
- getItemByItemNo(itemNo).getId());
- predictResult = predictItem.predict(predictTime, predictItemDto);
- columnTotalNumber += Integer.valueOf(predictResult.getPredictMatrix().length);
- predictResultMap.put(itemNo, predictItem.predict(predictTime, predictItemDto));
- }
- double[][] matrix = new double[columnTotalNumber][1];
- for (String itemNo : compositionItem) {
- for (Integer i = 0; i < predictResultMap.get(itemNo).getPredictMatrix().length; i++) {
- matrix[rowNumber][0] = predictResultMap.get(itemNo).getPredictMatrix()[i][0];
- rowNumber++;
- }
- }
- predictResult.setPredictMatrix(matrix);
- }
+// if (compositionItem.length > 1) {
+// Map<String, PredictResultVO> predictResultMap = new HashMap<>();
+// Integer columnTotalNumber = 0;
+// Integer rowNumber = 0;
+// for (String itemNo : compositionItem) {
+// PredictItemHandler predictItem = (PredictItemHandler) predictItemFactory.create(itemEntityFactory.
+// getItemByItemNo(itemNo).getId());
+// predictResult = predictItem.predict(predictTime, predictItemDto);
+// columnTotalNumber += Integer.valueOf(predictResult.getPredictMatrix().length);
+// predictResultMap.put(itemNo, predictItem.predict(predictTime, predictItemDto));
+// }
+// double[][] matrix = new double[columnTotalNumber][1];
+// for (String itemNo : compositionItem) {
+// for (Integer i = 0; i < predictResultMap.get(itemNo).getPredictMatrix().length; i++) {
+// matrix[rowNumber][0] = predictResultMap.get(itemNo).getPredictMatrix()[i][0];
+// rowNumber++;
+// }
+// }
+// predictResult.setPredictMatrix(matrix);
+// }
predictResult.setPredictId(itemId);
predictResult.setPredictMatrix(predictResultMat);
predictResult.setPredictTime(predictTime);
--
Gitblit v1.9.3