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

@@ -1,14 +1,10 @@
package com.iailab.module.model.mdk.predict;

import com.baomidou.dynamic.datasource.annotation.DSTransactional;
import com.iailab.module.data.api.point.DataPointApi;
import com.iailab.module.data.api.point.dto.ApiPointDTO;
import com.iailab.module.data.enums.DataPointFreqEnum;
import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity;
import com.iailab.module.model.mcs.pre.service.MmItemResultService;
import com.iailab.module.model.mdk.factory.ItemEntityFactory;
import com.iailab.module.model.mdk.vo.DataValueVO;
import com.iailab.module.model.mdk.vo.MmItemOutputVO;
import com.iailab.module.model.mdk.vo.PredictResultVO;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.scheduling.annotation.Async;
@@ -25,9 +21,6 @@
    @Autowired
    private ItemEntityFactory itemEntityFactory;

    @Autowired
    private DataPointApi dataPointApi;

    /**
     * convertToPredictData
     *
@@ -36,17 +29,15 @@
     */
    public Map<String, List<DataValueVO>> convertToPredictData(PredictResultVO predictResult) {
        Map<String, List<DataValueVO>> resultMap = new HashMap<>();
        List<MmItemOutputVO> itemOutPutList = itemEntityFactory.getOutPutByItemId(predictResult.getPredictId());
        List<MmItemOutputEntity> itemOutPutList = itemEntityFactory.getOutPutByItemId(predictResult.getPredictId());

        if (!CollectionUtils.isEmpty(predictResult.getPredictList())) {
            resultMap.put(itemOutPutList.get(0).getId(), predictResult.getPredictList());
            return resultMap;
        }
        Map<MmItemOutputEntity, double[]> predictMatrixs = predictResult.getPredictMatrixs();
        Map<com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity, double[]> predictMatrixs = predictResult.getPredictMatrixs();
        HashMap<String,List<DataValueVO>> predictLists = new HashMap<>();
        for (Map.Entry<MmItemOutputEntity, double[]> entry : predictMatrixs.entrySet()) {
            ApiPointDTO point = dataPointApi.getInfoById(entry.getKey().getPointid());
            Integer pointMinfreq = DataPointFreqEnum.getEumByCode(point.getMinfreqid()).getValue();
        for (Map.Entry<com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity, double[]> entry : predictMatrixs.entrySet()) {
            Integer rows = entry.getValue().length;
            List<DataValueVO> predictDataList = new ArrayList<>();
            Calendar calendar = Calendar.getInstance();
@@ -57,12 +48,37 @@
                predictData.setDataValue(Double.valueOf(entry.getValue()[i]));
                predictDataList.add(predictData);

                calendar.add(Calendar.SECOND, pointMinfreq);
                calendar.add(Calendar.SECOND, predictResult.getGranularity());
            }
            resultMap.put(entry.getKey().getId(), predictDataList);
            predictLists.put(entry.getKey().getResultstr(), predictDataList);
        }
        predictResult.setPredictLists(predictLists);
        return resultMap;
    }

    public Map<String, List<DataValueVO>> convertToPredictData2(PredictResultVO predictResult) {
        Map<String, List<DataValueVO>> predictLists = new HashMap<>();
        if (!CollectionUtils.isEmpty(predictResult.getPredictList())) {
            return predictLists;
        }
        Map<com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity, double[]> predictMatrixs = predictResult.getPredictMatrixs();
        for (Map.Entry<com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity, double[]> entry : predictMatrixs.entrySet()) {
            Integer rows = entry.getValue().length;
            List<DataValueVO> predictDataList = new ArrayList<>();
            Calendar calendar = Calendar.getInstance();
            calendar.setTime(predictResult.getPredictTime());
            for (Integer i = 0; i < rows; i++) {
                DataValueVO predictData = new DataValueVO();
                predictData.setDataTime(calendar.getTime());
                predictData.setDataValue(Double.valueOf(entry.getValue()[i]));
                predictDataList.add(predictData);

                calendar.add(Calendar.SECOND, predictResult.getGranularity());
            }
            predictLists.put(entry.getKey().getResultstr(), predictDataList);
        }
        return predictLists;
    }

    /**
@@ -75,16 +91,20 @@
    public void savePredictResult(PredictResultVO predictResult) {
        Map<String, List<DataValueVO>> resultMap = convertToPredictData(predictResult);
        mmItemResultService.savePredictValue(resultMap, predictResult.getLt(), "n", predictResult.getPredictTime());
        // 存double类型输出
        if (!CollectionUtils.isEmpty(predictResult.getPredictDoubleValues())) {
            mmItemResultService.savePredictValue(predictResult.getPredictDoubleValues(), predictResult.getPredictTime());
        }
    }

    public List<DataValueVO> getPredictValueByItemNo(String itemNo, Date start, Date end) {
        String itemId = itemEntityFactory.getItemByItemNo(itemNo).getId();
        List<MmItemOutputVO> outputList = itemEntityFactory.getOutPutByItemId(itemId);
        List<MmItemOutputEntity> outputList = itemEntityFactory.getOutPutByItemId(itemId);
        return mmItemResultService.getPredictValue(outputList.get(0).getId(), start, end);
    }

    public List<DataValueVO> getPredictValueByItemId(String itemId, Date start, Date end) {
        List<MmItemOutputVO> outputList = itemEntityFactory.getOutPutByItemId(itemId);
        List<MmItemOutputEntity> outputList = itemEntityFactory.getOutPutByItemId(itemId);
        return mmItemResultService.getPredictValue(outputList.get(0).getId(), start, end);
    }
}