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package com.iailab.module.model.mdk.predict;
 
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 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 Map<String, PredictResultVO> predict(List<ItemVO> predictItemList, Date predictTime, int intervalTime) {
        Map<String, PredictResultVO> result = new HashMap<>();
 
        PredictResultVO predictResult = new PredictResultVO();
        for (ItemVO predictItem : predictItemList) {
            if (!predictItem.getStatus().equals(ItemStatus.STATUS1.getCode())) {
                continue;
            }
            Long totalDur = 0L;
            try {
                mmItemStatusService.recordStatus(predictItem.getId(), ItemRunStatusEnum.PROCESSING, totalDur, predictTime);
                PredictItemHandler predictItemHandler = predictItemFactory.create(predictItem.getId());
                Instant start = Instant.now();
                try {
                    // 预测项开始预测
                    predictResult = predictItemHandler.predict(predictTime, predictItem);
                } catch (Exception e) {
                    e.printStackTrace();
                    log.error(String.valueOf(e));
                    mmItemStatusService.recordStatus(predictItem.getId(), ItemRunStatusEnum.FAIL, totalDur, predictTime);
                    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));
                totalDur = totalDur + drtPre;
 
                predictResult.setGranularity(predictItem.getGranularity());
                predictResult.setT(intervalTime);
                predictResult.setSaveIndex(predictItem.getSaveIndex());
                predictResult.setLt(1);
 
                // 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(),
                        drtSave));
                totalDur = totalDur + drtSave;
                mmItemStatusService.recordStatus(predictItem.getId(), ItemRunStatusEnum.SUCCESS, totalDur, predictTime);
                result.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, predictTime);
            }
        }
        return result;
    }
}