From b3674cefbeb8ffaf49f96d0c8fe7a6694ed86eec Mon Sep 17 00:00:00 2001
From: 潘志宝 <979469083@qq.com>
Date: 星期二, 25 二月 2025 15:05:32 +0800
Subject: [PATCH] 模拟调整 远程调用
---
iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictItemMergeHandlerImpl.java | 175 +++++++++++++++++++++++++++++++++-------------------------
1 files changed, 100 insertions(+), 75 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 5e4e599..cbcaf87 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
@@ -1,23 +1,21 @@
package com.iailab.module.model.mdk.predict.impl;
-import com.iailab.module.data.api.point.DataPointApi;
-import com.iailab.module.data.api.point.dto.ApiPointDTO;
-import com.iailab.module.data.enums.DataPointFreqEnum;
-import com.iailab.module.model.mdk.common.enums.ItemPredictStatus;
+import com.alibaba.fastjson.JSON;
+import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity;
+import com.iailab.module.model.mcs.pre.service.MmItemOutputService;
+import com.iailab.module.model.mcs.pre.service.MmItemResultJsonService;
+import com.iailab.module.model.mcs.sche.service.StAdjustResultService;
import com.iailab.module.model.mdk.common.exceptions.ItemInvokeException;
import com.iailab.module.model.mdk.factory.ItemEntityFactory;
-import com.iailab.module.model.mdk.factory.PredictItemFactory;
import com.iailab.module.model.mdk.predict.PredictItemHandler;
-import com.iailab.module.model.mdk.predict.PredictResultHandler;
-import com.iailab.module.model.mdk.vo.DataValueVO;
import com.iailab.module.model.mdk.vo.ItemVO;
-import com.iailab.module.model.mdk.vo.MmItemOutputVO;
import com.iailab.module.model.mdk.vo.PredictResultVO;
+import com.iailab.module.model.mdk.vo.StAdjustDeviationDTO;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
+import org.springframework.util.CollectionUtils;
-import java.sql.Timestamp;
import java.util.*;
/**
@@ -33,99 +31,126 @@
private ItemEntityFactory itemEntityFactory;
@Autowired
- private DataPointApi dataPointApi;
+ private MmItemResultJsonService mmItemResultJsonService;
@Autowired
- private PredictItemFactory predictItemFactory;
+ private MmItemOutputService mmItemOutputService;
@Autowired
- private PredictResultHandler predictResultHandler;
+ private StAdjustResultService stAdjustResultService;
+ /**
+ * MergeItem预测
+ *
+ * @param predictTime
+ * @param predictItemDto
+ * @return
+ * @throws ItemInvokeException
+ */
@Override
- public PredictResultVO predict(Date predictTime, ItemVO predictItemDto)
+ public PredictResultVO predict(Date predictTime, ItemVO predictItemDto, Map<String, double[]> predictValueMap)
throws ItemInvokeException {
PredictResultVO predictResult = new PredictResultVO();
- ItemPredictStatus itemStatus = ItemPredictStatus.PREDICTING;
String itemId = predictItemDto.getId();
try {
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[] mathItem = expression.split("[\\+ \\-]");
+ double[] predictResultMat = new double[predictLength];
+ String[] mathOutPutId = expression.split("[\\+ \\-]");
ArrayList<Character> operator = new ArrayList<>();
for (int i = 0; i < expression.length(); i++) {
- if (expression.charAt(i)=='+' || expression.charAt(i)=='-'){
+ if (expression.charAt(i) == '+' || expression.charAt(i) == '-') {
operator.add(expression.charAt(i));
}
}
- String[] compositionItem = expression.split(String.valueOf("&".toCharArray()));
//是否为计算预测项
- if (mathItem.length > 1) {
- for (String itemNo : mathItem) {
- if (itemNo.length() > 4) {
- Date endTime = predictTime;
- ItemVO itemEntity = itemEntityFactory.getItemByItemNo(itemNo);
- List<MmItemOutputVO> outPutList = itemEntityFactory.getOutPutByItemId(itemEntity.getId());
- ApiPointDTO pointEntity = dataPointApi.getInfoById(outPutList.get(0).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);
- if (predictValueList.size() != predictLength) {
- log.debug("merge项融合失败：缺少子项预测数据,对应子项ItemNo=" + itemNo);
- return null;
- }
- predictValueMap.put(itemNo, predictValueList);
- }
- }
+ if (mathOutPutId.length > 1) {
for (Integer i = 0; i < predictLength; i++) {
- double sum =0.0;
- sum = predictValueMap.get(mathItem[0]).get(i).getDataValue();
- for (int j = 1; j < mathItem.length; j++) {
- if (operator.get(j-1)=='+')
- {sum += predictValueMap.get(mathItem[j]).get(i).getDataValue();}
- if (operator.get(j-1)=='-')
- {sum -= predictValueMap.get(mathItem[j]).get(i).getDataValue();}
+ double sum = 0.0;
+ sum = predictValueMap.get(mathOutPutId[0])[i];
+ for (int j = 1; j < mathOutPutId.length; j++) {
+ if (operator.get(j - 1) == '+') {
+ sum += predictValueMap.get(mathOutPutId[j])[i];
+ }
+ if (operator.get(j - 1) == '-') {
+ sum -= predictValueMap.get(mathOutPutId[j])[i];
+ }
}
- predictResultMat[i][0] = sum;
+ predictResultMat[i] = 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);
}
predictResult.setPredictId(itemId);
- predictResult.setPredictMatrix(predictResultMat);
+ List<MmItemOutputEntity> outputServiceByItemid = mmItemOutputService.getByItemid(itemId);
+ if (!CollectionUtils.isEmpty(outputServiceByItemid)) {
+ Map<MmItemOutputEntity, double[]> predictMatrixs = new HashMap<>();
+ predictMatrixs.put(outputServiceByItemid.get(0), predictResultMat);
+ predictResult.setPredictMatrixs(predictMatrixs);
+ }
predictResult.setPredictTime(predictTime);
- //预测项预测成功的状态
- itemStatus = ItemPredictStatus.SUCCESS;
} catch (Exception e) {
- //预测项预测失败的状态
- itemStatus = ItemPredictStatus.FAILED;
- log.debug("merge项预测失败，itemId：" + itemId);
+ log.error("merge项预测失败，itemId：" + itemId);
+ e.printStackTrace();
throw e;
}
- log.debug("预测完成，itemId：" + itemId + ",itemStatus：" + itemStatus.getValue());
+ log.info("merge项预测完成，itemId：" + itemId + ",结果：" + JSON.toJSONString(predictResult));
+ return predictResult;
+ }
+
+ @Override
+ public PredictResultVO predictAdjust(Date predictTime, ItemVO predictItemDto, List<StAdjustDeviationDTO> deviationList)
+ throws ItemInvokeException {
+ PredictResultVO predictResult = new PredictResultVO();
+ String itemId = predictItemDto.getId();
+ try {
+ String expression = itemEntityFactory.getMergeItem(itemId).getExpression();
+ int predictLength = itemEntityFactory.getItemById(itemId).getPredictLength();
+ double[] predictResultMat = new double[predictLength];
+ String[] mathOutPutId = expression.split("[\\+ \\-]");
+ ArrayList<Character> operator = new ArrayList<>();
+ for (int i = 0; i < expression.length(); i++) {
+ if (expression.charAt(i) == '+' || expression.charAt(i) == '-') {
+ operator.add(expression.charAt(i));
+ }
+ }
+ Map<String, double[]> predictValueMap = new HashMap<>();
+ for (int k = 0; k < mathOutPutId.length; k++) {
+ String outPutId = mathOutPutId[k];
+ double[] outPutValue = stAdjustResultService.getSimpleData(outPutId, predictTime, predictLength);
+ if (outPutValue == null) {
+ outPutValue = mmItemResultJsonService.getSimpleData(outPutId, predictTime, predictLength);
+ }
+ predictValueMap.put(outPutId, outPutValue);
+ }
+
+ //是否为计算预测项
+ if (mathOutPutId.length > 1) {
+ for (int i = 0; i < predictLength; i++) {
+ double sum = predictValueMap.get(mathOutPutId[0])[i];
+ for (int j = 1; j < mathOutPutId.length; j++) {
+ if (operator.get(j - 1) == '+') {
+ sum += predictValueMap.get(mathOutPutId[j])[i];
+ }
+ if (operator.get(j - 1) == '-') {
+ sum -= predictValueMap.get(mathOutPutId[j])[i];
+ }
+ }
+ predictResultMat[i] = sum;
+ }
+ }
+ predictResult.setPredictId(itemId);
+ List<MmItemOutputEntity> outputServiceByItemid = mmItemOutputService.getByItemid(itemId);
+ if (!CollectionUtils.isEmpty(outputServiceByItemid)) {
+ Map<MmItemOutputEntity, double[]> predictMatrixs = new HashMap<>();
+ predictMatrixs.put(outputServiceByItemid.get(0), predictResultMat);
+ predictResult.setPredictMatrixs(predictMatrixs);
+ }
+ predictResult.setPredictTime(predictTime);
+ } catch (Exception e) {
+ log.error("merge项预测失败，itemId：" + itemId);
+ e.printStackTrace();
+ throw e;
+ }
+ log.info("merge项预测完成，itemId：" + itemId + ",结果：" + JSON.toJSONString(predictResult));
return predictResult;
}
}
\ No newline at end of file
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