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package com.iailab.module.model.mdk.predict.impl; |
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import com.iailab.module.data.api.point.DataPointApi; |
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import com.iailab.module.data.api.point.dto.ApiPointDTO; |
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import com.iailab.module.data.enums.DataPointFreqEnum; |
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import com.iailab.module.model.mdk.common.enums.ItemPredictStatus; |
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import com.iailab.module.model.mdk.common.exceptions.ItemInvokeException; |
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import com.iailab.module.model.mdk.factory.ItemEntityFactory; |
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import com.iailab.module.model.mdk.factory.PredictItemFactory; |
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import com.iailab.module.model.mdk.predict.PredictItemHandler; |
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import com.iailab.module.model.mdk.predict.PredictResultHandler; |
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import com.iailab.module.model.mdk.vo.DataValueVO; |
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import com.iailab.module.model.mdk.vo.ItemVO; |
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import com.iailab.module.model.mdk.vo.MmItemOutputVO; |
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import com.iailab.module.model.mdk.vo.PredictResultVO; |
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import lombok.extern.slf4j.Slf4j; |
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import org.springframework.beans.factory.annotation.Autowired; |
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import org.springframework.stereotype.Component; |
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import java.sql.Timestamp; |
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import java.util.*; |
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/** |
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* @author PanZhibao |
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* @Description |
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* @createTime 2024年09月01日 |
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*/ |
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@Slf4j |
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@Component |
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public class PredictItemMergeHandlerImpl implements PredictItemHandler { |
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@Autowired |
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private ItemEntityFactory itemEntityFactory; |
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@Autowired |
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private DataPointApi dataPointApi; |
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@Autowired |
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private PredictItemFactory predictItemFactory; |
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@Autowired |
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private PredictResultHandler predictResultHandler; |
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@Override |
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public PredictResultVO predict(Date predictTime, ItemVO predictItemDto) |
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throws ItemInvokeException { |
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PredictResultVO predictResult = new PredictResultVO(); |
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ItemPredictStatus itemStatus = ItemPredictStatus.PREDICTING; |
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String itemId = predictItemDto.getId(); |
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try { |
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String expression = itemEntityFactory.getMergeItem(itemId).getExpression(); |
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int predictLength = itemEntityFactory.getItemById(itemId).getPredictLength(); |
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double[][] predictResultMat = new double[predictLength][1]; |
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Map<String, List<DataValueVO>> predictValueMap = new HashMap<>(); |
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String[] mathItem = expression.split("[\\+ \\-]"); |
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ArrayList<Character> operator = new ArrayList<>(); |
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for (int i = 0; i < expression.length(); i++) { |
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if (expression.charAt(i)=='+' || expression.charAt(i)=='-'){ |
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operator.add(expression.charAt(i)); |
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} |
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} |
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String[] compositionItem = expression.split(String.valueOf("&".toCharArray())); |
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//是否为计算预测项 |
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if (mathItem.length > 1) { |
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for (String itemNo : mathItem) { |
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if (itemNo.length() > 4) { |
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Date endTime = predictTime; |
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ItemVO itemEntity = itemEntityFactory.getItemByItemNo(itemNo); |
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List<MmItemOutputVO> outPutList = itemEntityFactory.getOutPutByItemId(itemEntity.getId()); |
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ApiPointDTO pointEntity = dataPointApi.getInfoById(outPutList.get(0).getPointId()); |
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Calendar calendar = Calendar.getInstance(); |
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calendar.setTime(endTime); |
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calendar.add(Calendar.SECOND, (predictLength - 1) * DataPointFreqEnum.getEumByCode(pointEntity.getMinfreqid()).getValue()); |
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endTime = new Timestamp(calendar.getTime().getTime()); |
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List<DataValueVO> predictValueList = predictResultHandler.getPredictValueByItemNo(itemNo, predictTime, endTime); |
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if (predictValueList.size() != predictLength) { |
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log.debug("merge项融合失败:缺少子项预测数据,对应子项ItemNo=" + itemNo); |
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return null; |
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} |
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predictValueMap.put(itemNo, predictValueList); |
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} |
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} |
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for (Integer i = 0; i < predictLength; i++) { |
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double sum =0.0; |
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sum = predictValueMap.get(mathItem[0]).get(i).getDataValue(); |
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for (int j = 1; j < mathItem.length; j++) { |
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if (operator.get(j-1)=='+') |
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{sum += predictValueMap.get(mathItem[j]).get(i).getDataValue();} |
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if (operator.get(j-1)=='-') |
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{sum -= predictValueMap.get(mathItem[j]).get(i).getDataValue();} |
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} |
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predictResultMat[i][0] = sum; |
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} |
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} |
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//是否为组合预测项 |
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if (compositionItem.length > 1) { |
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Map<String, PredictResultVO> predictResultMap = new HashMap<>(); |
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Integer columnTotalNumber = 0; |
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Integer rowNumber = 0; |
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for (String itemNo : compositionItem) { |
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PredictItemHandler predictItem = (PredictItemHandler) predictItemFactory.create(itemEntityFactory. |
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getItemByItemNo(itemNo).getId()); |
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predictResult = predictItem.predict(predictTime, predictItemDto); |
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columnTotalNumber += Integer.valueOf(predictResult.getPredictMatrix().length); |
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predictResultMap.put(itemNo, predictItem.predict(predictTime, predictItemDto)); |
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} |
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double[][] matrix = new double[columnTotalNumber][1]; |
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for (String itemNo : compositionItem) { |
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for (Integer i = 0; i < predictResultMap.get(itemNo).getPredictMatrix().length; i++) { |
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matrix[rowNumber][0] = predictResultMap.get(itemNo).getPredictMatrix()[i][0]; |
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rowNumber++; |
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} |
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} |
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predictResult.setPredictMatrix(matrix); |
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} |
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predictResult.setPredictId(itemId); |
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predictResult.setPredictMatrix(predictResultMat); |
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predictResult.setPredictTime(predictTime); |
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//预测项预测成功的状态 |
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itemStatus = ItemPredictStatus.SUCCESS; |
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} catch (Exception e) { |
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//预测项预测失败的状态 |
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itemStatus = ItemPredictStatus.FAILED; |
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log.debug("merge项预测失败,itemId:" + itemId); |
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throw e; |
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} |
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log.debug("预测完成,itemId:" + itemId + ",itemStatus:" + itemStatus.getValue()); |
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return predictResult; |
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} |
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} |