| 提交 | 用户 | 时间 | ||
| 7fd198 | 1 | package com.iailab.module.model.mdk.predict.impl; |
| 潘 | 2 | |
| 3 | import com.iailab.module.data.api.point.DataPointApi; | |
| 4 | import com.iailab.module.data.api.point.dto.ApiPointDTO; | |
| e78121 | 5 | import com.iailab.module.data.enums.DataPointFreqEnum; |
| a4891a | 6 | import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity; |
| 3059dd | 7 | import com.iailab.module.model.mcs.pre.service.MmItemOutputService; |
| D | 8 | import com.iailab.module.model.mcs.pre.service.MmItemResultService; |
| 7fd198 | 9 | import com.iailab.module.model.mdk.common.enums.ItemPredictStatus; |
| 潘 | 10 | import com.iailab.module.model.mdk.common.exceptions.ItemInvokeException; |
| 11 | import com.iailab.module.model.mdk.factory.ItemEntityFactory; | |
| 12 | import com.iailab.module.model.mdk.factory.PredictItemFactory; | |
| 13 | import com.iailab.module.model.mdk.predict.PredictItemHandler; | |
| 14 | import com.iailab.module.model.mdk.predict.PredictResultHandler; | |
| 15 | import com.iailab.module.model.mdk.vo.DataValueVO; | |
| 16 | import com.iailab.module.model.mdk.vo.ItemVO; | |
| 17 | import com.iailab.module.model.mdk.vo.PredictResultVO; | |
| 18 | import lombok.extern.slf4j.Slf4j; | |
| 19 | import org.springframework.beans.factory.annotation.Autowired; | |
| 20 | import org.springframework.stereotype.Component; | |
| 21 | ||
| 22 | import java.sql.Timestamp; | |
| 23 | import java.util.*; | |
| 24 | ||
| 25 | /** | |
| 26 | * @author PanZhibao | |
| 27 | * @Description | |
| 28 | * @createTime 2024年09月01日 | |
| 29 | */ | |
| 30 | @Slf4j | |
| 31 | @Component | |
| 32 | public class PredictItemMergeHandlerImpl implements PredictItemHandler { | |
| 33 | ||
| 34 | @Autowired | |
| 35 | private ItemEntityFactory itemEntityFactory; | |
| 36 | ||
| 37 | @Autowired | |
| 38 | private DataPointApi dataPointApi; | |
| 39 | ||
| 40 | @Autowired | |
| 41 | private PredictItemFactory predictItemFactory; | |
| 42 | ||
| 43 | @Autowired | |
| 44 | private PredictResultHandler predictResultHandler; | |
| 45 | ||
| 3059dd | 46 | @Autowired |
| D | 47 | private MmItemResultService mmItemResultService; |
| 48 | ||
| 49 | @Autowired | |
| 50 | private MmItemOutputService mmItemOutputService; | |
| 51 | ||
| 4f1717 | 52 | /** |
| 潘 | 53 | * MergeItem预测 |
| 54 | * | |
| 55 | * @param predictTime | |
| 56 | * @param predictItemDto | |
| 57 | * @return | |
| 58 | * @throws ItemInvokeException | |
| 59 | */ | |
| 7fd198 | 60 | @Override |
| 潘 | 61 | public PredictResultVO predict(Date predictTime, ItemVO predictItemDto) |
| 62 | throws ItemInvokeException { | |
| 63 | PredictResultVO predictResult = new PredictResultVO(); | |
| 64 | ItemPredictStatus itemStatus = ItemPredictStatus.PREDICTING; | |
| 65 | String itemId = predictItemDto.getId(); | |
| 66 | try { | |
| 67 | String expression = itemEntityFactory.getMergeItem(itemId).getExpression(); | |
| 68 | int predictLength = itemEntityFactory.getItemById(itemId).getPredictLength(); | |
| 69 | double[][] predictResultMat = new double[predictLength][1]; | |
| 70 | Map<String, List<DataValueVO>> predictValueMap = new HashMap<>(); | |
| 3059dd | 71 | String[] mathOutPutId = expression.split("[\\+ \\-]"); |
| 7fd198 | 72 | ArrayList<Character> operator = new ArrayList<>(); |
| 潘 | 73 | for (int i = 0; i < expression.length(); i++) { |
| 74 | if (expression.charAt(i)=='+' || expression.charAt(i)=='-'){ | |
| 75 | operator.add(expression.charAt(i)); | |
| 76 | } | |
| 77 | } | |
| 78 | String[] compositionItem = expression.split(String.valueOf("&".toCharArray())); | |
| 79 | //是否为计算预测项 | |
| 3059dd | 80 | if (mathOutPutId.length > 1) { |
| D | 81 | for (String outPutId : mathOutPutId) { |
| 82 | if (outPutId.length() > 4) { | |
| 7fd198 | 83 | Date endTime = predictTime; |
| 3059dd | 84 | // ItemVO itemEntity = itemEntityFactory.getItemByItemNo(itemNo); |
| D | 85 | // List<MmItemOutputEntity> outPutList = itemEntityFactory.getOutPutByItemId(itemEntity.getId()); |
| 86 | MmItemOutputEntity outPut = mmItemOutputService.getOutPutById(outPutId); | |
| 87 | ApiPointDTO pointEntity = dataPointApi.getInfoById(outPut.getPointid()); | |
| 7fd198 | 88 | |
| 潘 | 89 | Calendar calendar = Calendar.getInstance(); |
| 90 | calendar.setTime(endTime); | |
| e78121 | 91 | calendar.add(Calendar.SECOND, (predictLength - 1) * DataPointFreqEnum.getEumByCode(pointEntity.getMinfreqid()).getValue()); |
| 7fd198 | 92 | endTime = new Timestamp(calendar.getTime().getTime()); |
| 3059dd | 93 | // List<DataValueVO> predictValueList = predictResultHandler.getPredictValueByItemNo(itemNo, predictTime, endTime); |
| D | 94 | List<DataValueVO> predictValueList = mmItemResultService.getPredictValue(outPutId, predictTime, endTime); |
| 7fd198 | 95 | if (predictValueList.size() != predictLength) { |
| 3059dd | 96 | log.debug("merge项融合失败：缺少子项预测数据,对应子项outPutId=" + outPutId); |
| 7fd198 | 97 | return null; |
| 潘 | 98 | } |
| 3059dd | 99 | predictValueMap.put(outPutId, predictValueList); |
| 7fd198 | 100 | } |
| 潘 | 101 | } |
| 102 | for (Integer i = 0; i < predictLength; i++) { | |
| 103 | double sum =0.0; | |
| 3059dd | 104 | sum = predictValueMap.get(mathOutPutId[0]).get(i).getDataValue(); |
| D | 105 | for (int j = 1; j < mathOutPutId.length; j++) { |
| 7fd198 | 106 | if (operator.get(j-1)=='+') |
| 3059dd | 107 | {sum += predictValueMap.get(mathOutPutId[j]).get(i).getDataValue();} |
| 7fd198 | 108 | if (operator.get(j-1)=='-') |
| 3059dd | 109 | {sum -= predictValueMap.get(mathOutPutId[j]).get(i).getDataValue();} |
| 7fd198 | 110 | } |
| 潘 | 111 | predictResultMat[i][0] = sum; |
| 112 | } | |
| 113 | } | |
| 114 | //是否为组合预测项 | |
| 115 | if (compositionItem.length > 1) { | |
| 116 | Map<String, PredictResultVO> predictResultMap = new HashMap<>(); | |
| 117 | Integer columnTotalNumber = 0; | |
| 118 | Integer rowNumber = 0; | |
| 119 | for (String itemNo : compositionItem) { | |
| 120 | PredictItemHandler predictItem = (PredictItemHandler) predictItemFactory.create(itemEntityFactory. | |
| 121 | getItemByItemNo(itemNo).getId()); | |
| 122 | predictResult = predictItem.predict(predictTime, predictItemDto); | |
| 123 | columnTotalNumber += Integer.valueOf(predictResult.getPredictMatrix().length); | |
| 124 | predictResultMap.put(itemNo, predictItem.predict(predictTime, predictItemDto)); | |
| 125 | } | |
| 126 | double[][] matrix = new double[columnTotalNumber][1]; | |
| 127 | for (String itemNo : compositionItem) { | |
| 128 | for (Integer i = 0; i < predictResultMap.get(itemNo).getPredictMatrix().length; i++) { | |
| 129 | matrix[rowNumber][0] = predictResultMap.get(itemNo).getPredictMatrix()[i][0]; | |
| 130 | rowNumber++; | |
| 131 | } | |
| 132 | } | |
| 133 | predictResult.setPredictMatrix(matrix); | |
| 134 | } | |
| 135 | predictResult.setPredictId(itemId); | |
| 136 | predictResult.setPredictMatrix(predictResultMat); | |
| 137 | predictResult.setPredictTime(predictTime); | |
| 138 | //预测项预测成功的状态 | |
| 139 | itemStatus = ItemPredictStatus.SUCCESS; | |
| 140 | } catch (Exception e) { | |
| 141 | //预测项预测失败的状态 | |
| 142 | itemStatus = ItemPredictStatus.FAILED; | |
| 143 | log.debug("merge项预测失败，itemId：" + itemId); | |
| 144 | throw e; | |
| 145 | } | |
| 146 | log.debug("预测完成，itemId：" + itemId + ",itemStatus：" + itemStatus.getValue()); | |
| 147 | return predictResult; | |
| 148 | } | |
| 149 | } | |
