iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/PredictSampleDataConstructor.java

@@ -14,10 +14,8 @@
import com.iailab.module.data.common.ApiDataQueryDTO;
import com.iailab.module.data.common.ApiDataValueDTO;
import com.iailab.module.model.common.utils.ASCIIUtil;
import com.iailab.module.model.mcs.pre.service.MmItemOutputService;
import com.iailab.module.model.mcs.pre.service.MmItemResultJsonService;
import com.iailab.module.model.mcs.pre.service.MmItemResultService;
import com.iailab.module.model.mcs.pre.service.MmItemTypeService;
import com.iailab.module.model.mcs.sche.service.StAdjustResultService;
import com.iailab.module.model.mdk.common.enums.ModelParamType;
import com.iailab.module.model.mdk.sample.dto.ColumnItem;
import com.iailab.module.model.mdk.sample.dto.ColumnItemPort;
@@ -57,13 +55,7 @@
    private MmItemResultService mmItemResultService;

    @Autowired
    private MmItemResultJsonService mmItemResultJsonService;

    @Autowired
    private MmItemTypeService mmItemTypeService;

    @Autowired
    private MmItemOutputService mmItemOutputService;
    private StAdjustResultService stAdjustResultService;

    /**
     * alter by zfc 2020.11.24 修改数据样本构造方案：sampleInfo中数据已按爪子进行分类，但爪内数据为无序的，
@@ -89,8 +81,16 @@
            }
        }

        int deviationIndex = 0;
        // 判断要调整的列
        for (ColumnItemPort itemPort : sampleInfo.getColumnInfo()) {

            for (ColumnItem columnItem : itemPort.getColumnItemList()) {

            }
        }


        int portIdx = 1;
        //对每个爪分别进行计算
        for (ColumnItemPort entry : sampleInfo.getColumnInfo()) {
            double[][] matrix = new double[0][0];
@@ -107,7 +107,7 @@
                if (!CollectionUtils.isEmpty(indItemValueList)) {
                    matrix = new double[entry.getDataLength()][0];
                    if (indItemValueList.size() > entry.getDataLength()) {
                        indItemValueList = indItemValueList.subList(0,entry.getDataLength());
                        indItemValueList = indItemValueList.subList(0, entry.getDataLength());
                    }
                    for (int i = 0; i < indItemValueList.size(); i++) {
                        String stringValue = indItemValueList.get(i).getDataValue().toString();
@@ -115,7 +115,7 @@
                        matrix[i] = asciiArray;
                    }
                }
            }else {
            } else {
                //先依据爪内数据项的modelParamOrder进行排序——重写comparator匿名函数
                Collections.sort(entry.getColumnItemList(), new Comparator<ColumnItem>() {
                    @Override
@@ -132,49 +132,37 @@
                    }
                }

                //找出对应的调整值
                double[] deviationItem = null;
                if (sampleInfo.getDeviation() != null && sampleInfo.getDeviation().length > 0) {
                    deviationItem = sampleInfo.getDeviation()[deviationIndex];
                }
                deviationIndex ++;

                //对每一项依次进行数据查询,然后将查询出的值赋给matrix对应的位置
                for (int i = 0; i < entry.getColumnItemList().size(); i++) {
                    try {
                        List<DataValueVO> dataEntityList = getData(entry.getColumnItemList().get(i), pointMap, planMap,indMap);

                        //设置调整值
                        if (deviationItem != null && deviationItem.length > 0) {
                            logger.info("设置调整值, i = " + i);
                            if (deviationItem[i] <= 0) {
                                continue;
                            }
                            for(int dataKey = 1; dataKey < dataEntityList.size(); dataKey ++) {
                                DataValueVO item = dataEntityList.get(dataKey);
                                item.setDataValue(item.getDataValue() + deviationItem[i]);
                            }
                        }
                        List<DataValueVO> dataEntityList = getData(sampleInfo, entry.getColumnItemList().get(i), pointMap, planMap, indMap);

                        //补全数据
                        ColumnItem columnItem = entry.getColumnItemList().get(i);
                        dataEntityList = super.completionData(matrix.length, dataEntityList, columnItem.startTime, columnItem.endTime, columnItem.getParamType(),columnItem.getGranularity());
                        dataEntityList = super.completionData(matrix.length, dataEntityList, columnItem.startTime, columnItem.endTime, columnItem.getParamType(), columnItem.getGranularity());

                        /** 如果数据取不满，把缺失的数据点放在后面 */
                        if (dataEntityList != null && dataEntityList.size() != 0) {
                            logger.info("设置matrix, i = " + i + ", size = " + dataEntityList.size());
                            for (int k = 0; k < dataEntityList.size(); k++) {
                                Double dataValue = dataEntityList.get(k).getDataValue();
                                if (null != dataValue) {
                                    matrix[k][i] = dataValue;
                                }
                        if (CollectionUtils.isEmpty(dataEntityList)) {
                            continue;
                        }
                        logger.info("设置matrix, i = " + i + ", size = " + dataEntityList.size());
                        // 调整值
                        double adjustVal = SampleInfo.getAdjustValueFromDeviation(portIdx, i + 1, sampleInfo.getDeviation());
                        for (int k = 0; k < dataEntityList.size(); k++) {
                            Double dataValue = dataEntityList.get(k).getDataValue();
                            if (null == dataValue) {
                                continue;
                            }
                            // 用BigDecimal计算，解决double精度问题
                            matrix[k][i] = BigDecimal.valueOf(dataValue).add(BigDecimal.valueOf(adjustVal)).doubleValue();
                        }
                    } catch (Exception e) {
                        e.printStackTrace();
                        throw e;
                    }
                }

                portIdx++;
            }
            SampleData sampleData = new SampleData();
            sampleData.setMatrix(matrix);
@@ -186,6 +174,7 @@
    /**
     * getData
     *
     * @param sampleInfo
     * @param columnItem
     * @param pointMap
     * @param planMap
@@ -193,7 +182,8 @@
     * @return
     * @throws Exception
     */
    private List<DataValueVO> getData(ColumnItem columnItem, Map<String, ApiPointDTO> pointMap, Map<String, ApiPlanItemDTO> planMap, Map<String, ApiIndItemDTO> indMap) throws Exception {
    private List<DataValueVO> getData(SampleInfo sampleInfo, ColumnItem columnItem, Map<String, ApiPointDTO> pointMap, Map<String, ApiPlanItemDTO> planMap,
                                      Map<String, ApiIndItemDTO> indMap) throws Exception {
        List<DataValueVO> dataList = new ArrayList<>();
        String paramType = columnItem.getParamType();
        switch (ModelParamType.getEumByCode(paramType)) {
@@ -215,12 +205,19 @@
                break;
            case NORMALITEM:
            case MERGEITEM:
                List<DataValueVO> predictValue = mmItemResultService.getPredictValue(columnItem.getParamId(), columnItem.getStartTime(), columnItem.getEndTime());

                List<DataValueVO> predictValue = new ArrayList<>();
                if (sampleInfo.getIsAdjust()) {
                    // 如果模拟调整先查调整结果
                    predictValue = stAdjustResultService.getPredictValue(columnItem.getParamId(), sampleInfo.getPredictTime());
                }
                if (CollectionUtils.isEmpty(predictValue)) {
                    predictValue = mmItemResultService.getPredictValue(columnItem.getParamId(), columnItem.getStartTime(), columnItem.getEndTime());
                }
                if (CollectionUtils.isEmpty(predictValue)) {
                    break;
                }
                dataList = predictValue;

                break;
            case PLAN:
                ApiDataQueryDTO queryPlanItemDto = new ApiDataQueryDTO();