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package com.iailab.module.model.mdk.predict; |
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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.enums.ItemStatus; |
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import com.iailab.module.model.mcs.pre.service.MmItemStatusService; |
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import com.iailab.module.model.mdk.factory.PredictItemFactory; |
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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.text.MessageFormat; |
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import java.time.Duration; |
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import java.time.Instant; |
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import java.util.Date; |
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import java.util.HashMap; |
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import java.util.List; |
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import java.util.Map; |
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/** |
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* @author PanZhibao |
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* @Description |
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* @createTime 2024年08月30日 |
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*/ |
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@Slf4j |
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@Component |
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public class PredictModuleHandler { |
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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 MmItemStatusService mmItemStatusService; |
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/** |
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* 预测处理 |
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* |
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* @param predictItemList |
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* @param predictTime |
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* @param intervalTime |
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* @return |
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*/ |
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public void predict(List<ItemVO> predictItemList, Date predictTime, int intervalTime,Map<String, PredictResultVO> predictResultMap) { |
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PredictResultVO predictResult; |
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Map<String, double[]> predictValueMap = null; |
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if (!CollectionUtils.isEmpty(predictResultMap)) { |
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// 将predictResultMap处理成Map<outPutId, double[]> |
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predictValueMap = new HashMap<>(); |
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for (Map.Entry<String, PredictResultVO> entry : predictResultMap.entrySet()) { |
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for (Map.Entry<MmItemOutputEntity, double[]> mmItemOutputEntityEntry : entry.getValue().getPredictMatrixs().entrySet()) { |
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predictValueMap.put(mmItemOutputEntityEntry.getKey().getId(),mmItemOutputEntityEntry.getValue()); |
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} |
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} |
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} |
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for (ItemVO predictItem : predictItemList) { |
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if (!predictItem.getStatus().equals(ItemStatus.STATUS1.getCode())) { |
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continue; |
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} |
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Long totalDur = 0L; |
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ItemRunStatusEnum itemRunStatusEnum = ItemRunStatusEnum.PROCESSING; |
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try { |
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mmItemStatusService.recordStatus(predictItem.getId(), itemRunStatusEnum, totalDur, predictTime); |
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PredictItemHandler predictItemHandler = predictItemFactory.create(predictItem.getId()); |
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long start = System.currentTimeMillis(); |
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try { |
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// 预测项开始预测 |
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predictResult = predictItemHandler.predict(predictTime, predictItem, predictValueMap,itemRunStatusEnum); |
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} catch (Exception e) { |
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continue; |
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} |
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long end = System.currentTimeMillis(); |
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Long drtPre = end - start; |
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log.info(MessageFormat.format("预测项:{0},预测时间:{1}ms", predictItem.getItemName(), drtPre)); |
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totalDur = totalDur + drtPre; |
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predictResult.setGranularity(predictItem.getGranularity()); |
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predictResult.setT(intervalTime); |
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predictResult.setSaveIndex(predictItem.getSaveIndex()); |
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predictResult.setLt(1); |
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// 保存预测结果 |
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predictResultHandler.savePredictResult(predictResult); |
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long endSave = System.currentTimeMillis(); |
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Long drtSave = endSave - end; |
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log.info(MessageFormat.format("预测项:{0},保存时间:{1}ms", predictItem.getItemName(), |
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drtSave)); |
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totalDur = totalDur + drtSave; |
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predictResultMap.put(predictItem.getItemNo(), predictResult); |
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} catch (Exception e) { |
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e.printStackTrace(); |
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log.error(MessageFormat.format("预测项编号:{0},预测项名称:{1},预测失败:{2} 预测时刻:{3}", |
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predictItem.getId(), predictItem.getItemName(), e.getMessage(), predictTime)); |
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itemRunStatusEnum = ItemRunStatusEnum.FAIL; |
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} finally { |
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mmItemStatusService.recordStatus(predictItem.getId(), itemRunStatusEnum, totalDur, predictTime); |
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} |
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} |
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} |
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} |