iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/PredictModuleHandler.java

@@ -1,5 +1,6 @@
package com.iailab.module.model.mdk.predict;

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;
@@ -9,6 +10,7 @@
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;
@@ -46,29 +48,37 @@
     * @param intervalTime
     * @return
     */
    public Map<String, PredictResultVO> predict(List<ItemVO> predictItemList, Date predictTime, int intervalTime) {
        Map<String, PredictResultVO> result = new HashMap<>();

        PredictResultVO predictResult = new PredictResultVO();
    public void predict(List<ItemVO> predictItemList, Date predictTime, int intervalTime,Map<String, PredictResultVO> predictResultMap) {
        PredictResultVO predictResult;
        Map<String, double[]> predictValueMap = null;
        if (!CollectionUtils.isEmpty(predictResultMap)) {
            // 将predictResultMap处理成Map<outPutId, double[]>
            predictValueMap = new HashMap<>();
            for (Map.Entry<String, PredictResultVO> entry : predictResultMap.entrySet()) {
                for (Map.Entry<MmItemOutputEntity, double[]> mmItemOutputEntityEntry : entry.getValue().getPredictMatrixs().entrySet()) {
                    predictValueMap.put(mmItemOutputEntityEntry.getKey().getId(),mmItemOutputEntityEntry.getValue());
                }
            }
        }
        for (ItemVO predictItem : predictItemList) {
            if (!predictItem.getStatus().equals(ItemStatus.STATUS1.getCode())) {
                continue;
            }
            Long totalDur = 0L;
            ItemRunStatusEnum itemRunStatusEnum = ItemRunStatusEnum.PROCESSING;
            try {
                mmItemStatusService.recordStatus(predictItem.getId(), ItemRunStatusEnum.PROCESSING, totalDur);
                mmItemStatusService.recordStatus(predictItem.getId(), itemRunStatusEnum, totalDur, predictTime);
                PredictItemHandler predictItemHandler = predictItemFactory.create(predictItem.getId());
                Instant start = Instant.now();
                long start = System.currentTimeMillis();
                try {
                    // 预测项开始预测
                    predictResult = predictItemHandler.predict(predictTime, predictItem);
                    predictResult = predictItemHandler.predict(predictTime, predictItem, predictValueMap,itemRunStatusEnum);
                } catch (Exception e) {
                    e.printStackTrace();
                    log.error(String.valueOf(e));
                    continue;
                }
                Instant end = Instant.now();
                Long drtPre = Duration.between(start, end).getSeconds();
                log.info(MessageFormat.format("预测项：{0}，预测时间：{1}秒", predictItem.getItemName(), drtPre));
                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());
@@ -78,20 +88,20 @@

                // 保存预测结果
                predictResultHandler.savePredictResult(predictResult);
                Instant endSave = Instant.now();
                Long drtSave = Duration.between(end, endSave).getSeconds();
                log.info(MessageFormat.format("预测项：{0}，保存时间：{1}秒", predictItem.getItemName(),
                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;
                mmItemStatusService.recordStatus(predictItem.getId(), ItemRunStatusEnum.SUCCESS, totalDur);
                result.put(predictItem.getItemNo(), predictResult);
                predictResultMap.put(predictItem.getItemNo(), predictResult);
            } 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));
                mmItemStatusService.recordStatus(predictItem.getId(), ItemRunStatusEnum.FAIL, totalDur);
                itemRunStatusEnum = ItemRunStatusEnum.FAIL;
            } finally {
                mmItemStatusService.recordStatus(predictItem.getId(), itemRunStatusEnum, totalDur, predictTime);
            }
        }
        return result;
    }
}