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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.mcs.pre.entity.MmItemOutputEntity; |
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import com.iailab.module.model.mcs.pre.enums.ItemRunStatusEnum; |
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import com.iailab.module.model.mcs.pre.service.MmItemOutputService; |
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import com.iailab.module.model.mcs.pre.service.MmItemResultService; |
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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.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 org.springframework.util.CollectionUtils; |
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import java.sql.Timestamp; |
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import java.util.*; |
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import java.util.stream.Collectors; |
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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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@Autowired |
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private MmItemResultService mmItemResultService; |
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@Autowired |
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private MmItemOutputService mmItemOutputService; |
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/** |
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* MergeItem预测 |
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* @param predictTime |
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* @param predictItemDto |
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* @return |
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* @throws ItemInvokeException |
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*/ |
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@Override |
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public PredictResultVO predict(Date predictTime, ItemVO predictItemDto, Map<String, double[]> predictValueMap) |
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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]; |
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String[] mathOutPutId = 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 (mathOutPutId.length > 1) { |
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// Map<String, List<DataValueVO>> predictValueMap = new HashMap<>(); |
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// for (String outPutId : mathOutPutId) { |
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// if (outPutId.length() > 4) { |
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// Date endTime = predictTime; |
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//// ItemVO itemEntity = itemEntityFactory.getItemByItemNo(itemNo); |
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//// List<MmItemOutputEntity> outPutList = itemEntityFactory.getOutPutByItemId(itemEntity.getId()); |
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// MmItemOutputEntity outPut = mmItemOutputService.getOutPutById(outPutId); |
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// ApiPointDTO pointEntity = dataPointApi.getInfoById(outPut.getPointid()); |
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// |
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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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// List<DataValueVO> predictValueList = mmItemResultService.getPredictValue(outPutId, 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outPutId=" + outPutId); |
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// return null; |
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// } |
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// predictValueMap.put(outPutId, 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(mathOutPutId[0])[i]; |
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for (int j = 1; j < mathOutPutId.length; j++) { |
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if (operator.get(j-1)=='+') |
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{sum += predictValueMap.get(mathOutPutId[j])[i];} |
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if (operator.get(j-1)=='-') |
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{sum -= predictValueMap.get(mathOutPutId[j])[i];} |
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} |
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predictResultMat[i] = 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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log.info("计算预测模型结果:" + predictResultMat); |
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predictResult.setPredictId(itemId); |
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List<MmItemOutputEntity> outputServiceByItemid = mmItemOutputService.getByItemid(itemId); |
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if (CollectionUtils.isEmpty(outputServiceByItemid)) { |
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Map<MmItemOutputEntity, double[]> predictMatrixs = new HashMap<>(); |
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predictMatrixs.put(outputServiceByItemid.get(0),predictResultMat); |
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predictResult.setPredictMatrixs(predictMatrixs); |
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} |
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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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} |