package com.iailab.module.model.mdk.predict; import com.iailab.module.model.common.exception.ModelResultErrorException; import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity; import com.iailab.module.model.mcs.pre.enums.ItemRunStatusEnum; import com.iailab.module.model.mcs.pre.enums.ItemStatus; import com.iailab.module.model.mcs.pre.service.MmItemStatusService; import com.iailab.module.model.mdk.factory.PredictItemFactory; import com.iailab.module.model.mdk.vo.ItemVO; import com.iailab.module.model.mdk.vo.PredictResultVO; import lombok.extern.slf4j.Slf4j; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Component; import org.springframework.util.CollectionUtils; import java.text.MessageFormat; import java.time.Duration; import java.time.Instant; import java.util.Date; import java.util.HashMap; import java.util.List; import java.util.Map; /** * @author PanZhibao * @Description * @createTime 2024年08月30日 */ @Slf4j @Component public class PredictModuleHandler { @Autowired private PredictItemFactory predictItemFactory; @Autowired private PredictResultHandler predictResultHandler; @Autowired private MmItemStatusService mmItemStatusService; /** * 预测处理 * * @param predictItemList * @param predictTime * @param intervalTime * @return */ public void predict(List predictItemList, Date predictTime, int intervalTime,Map predictResultMap) { Map predictValueMap = null; if (!CollectionUtils.isEmpty(predictResultMap)) { // 将predictResultMap处理成Map predictValueMap = new HashMap<>(); for (Map.Entry entry : predictResultMap.entrySet()) { for (Map.Entry mmItemOutputEntityEntry : entry.getValue().getPredictMatrixs().entrySet()) { predictValueMap.put(mmItemOutputEntityEntry.getKey().getId(),mmItemOutputEntityEntry.getValue()); } } } for (ItemVO predictItem : predictItemList) { PredictResultVO predictResult; if (!predictItem.getStatus().equals(ItemStatus.STATUS1.getCode())) { continue; } Long totalDur = 0L; ItemRunStatusEnum itemRunStatusEnum = ItemRunStatusEnum.PROCESSING; try { mmItemStatusService.recordStatus(predictItem.getId(), itemRunStatusEnum, totalDur, predictTime); PredictItemHandler predictItemHandler = predictItemFactory.create(predictItem.getId()); long start = System.currentTimeMillis(); try { // 预测项开始预测 predictResult = predictItemHandler.predict(predictTime, predictItem, predictValueMap); } catch (ModelResultErrorException e) { itemRunStatusEnum = ItemRunStatusEnum.MODELRESULTERROR; continue; } catch (Exception e) { itemRunStatusEnum = ItemRunStatusEnum.FAIL; continue; } long end = System.currentTimeMillis(); Long drtPre = end - start; log.info(MessageFormat.format("预测项:{0},预测时间:{1}ms", predictItem.getItemName(), drtPre)); totalDur = totalDur + drtPre; predictResult.setGranularity(predictItem.getGranularity()); predictResult.setT(intervalTime); predictResult.setSaveIndex(predictItem.getSaveIndex()); predictResult.setLt(1); predictResultMap.put(predictItem.getItemNo(), predictResult); // 保存预测结果 try { predictResultHandler.savePredictResult(predictResult); } catch (Exception e) { itemRunStatusEnum = ItemRunStatusEnum.MODELRESULTSAVEERROR; throw new RuntimeException("模型结果保存异常,result:" + predictResult); } itemRunStatusEnum = ItemRunStatusEnum.SUCCESS; // long endSave = System.currentTimeMillis(); // Long drtSave = endSave - end; // log.info(MessageFormat.format("预测项:{0},保存时间:{1}ms", predictItem.getItemName(), // drtSave)); // totalDur = totalDur + drtSave; } catch (Exception e) { e.printStackTrace(); 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}", predictItem.getId(), predictItem.getItemName(), e.getMessage(), predictTime)); } finally { mmItemStatusService.recordStatus(predictItem.getId(), itemRunStatusEnum, totalDur, predictTime); } } } }