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

@@ -1,5 +1,10 @@
package com.iailab.module.model.mdk.sample;

import cn.hutool.core.date.DateUtil;
import com.iailab.module.data.api.ind.IndItemApi;
import com.iailab.module.data.api.ind.dto.ApiIndItemDTO;
import com.iailab.module.data.api.ind.dto.ApiIndItemQueryDTO;
import com.iailab.module.data.api.ind.dto.ApiIndItemValueDTO;
import com.iailab.module.data.api.plan.PlanItemApi;
import com.iailab.module.data.api.plan.dto.ApiPlanItemDTO;
import com.iailab.module.data.api.point.DataPointApi;
@@ -8,8 +13,7 @@
import com.iailab.module.data.api.point.dto.ApiPointValueQueryDTO;
import com.iailab.module.data.common.ApiDataQueryDTO;
import com.iailab.module.data.common.ApiDataValueDTO;
import com.iailab.module.model.common.enums.OutResultType;
import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity;
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;
@@ -21,13 +25,13 @@
import com.iailab.module.model.mdk.sample.dto.SampleInfo;
import com.iailab.module.model.mdk.vo.DataValueVO;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import org.springframework.util.CollectionUtils;

import java.math.BigDecimal;
import java.util.*;
import java.util.stream.Collectors;

@@ -45,6 +49,9 @@

    @Autowired
    private PlanItemApi planItemApi;

    @Autowired
    private IndItemApi indItemApi;

    @Autowired
    private MmItemResultService mmItemResultService;
@@ -70,45 +77,90 @@
        List<SampleData> sampleDataList = new ArrayList<>();
        Map<String, ApiPointDTO> pointMap = sampleInfo.getPointMap();
        Map<String, ApiPlanItemDTO> planMap = sampleInfo.getPlanMap();
        //对每个爪分别进行计算
        for (ColumnItemPort entry : sampleInfo.getColumnInfo()) {
            //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
                public int compare(ColumnItem o1, ColumnItem o2) {
                    return o1.getModelParamOrder() - o2.getModelParamOrder();
                }
            });

            //默认都是double类型的数据,且按列向量进行拼接,默认初始值为0.0
            double[][] matrix = new double[entry.getDataLength()][entry.getColumnItemList().size()];
            for (int i = 0; i < entry.getColumnItemList().size(); i++) {
                for (int j = 0; j < entry.getDataLength(); j++) {
                    matrix[j][i] = -2.0;
        Map<String, ApiIndItemDTO> indMap = sampleInfo.getIndMap();
        // 校验数据
        for (ColumnItemPort itemPort : sampleInfo.getColumnInfo()) {
            for (ColumnItem columnItem : itemPort.getColumnItemList()) {
                if (columnItem.getParamType().equals(ModelParamType.IND_ASCII.getCode())) {
                    if (columnItem.getModelParamOrder() != 1 || itemPort.getColumnItemList().size() != 1) {
                        throw new RuntimeException("模型输入数据异常：IND_ASCII类型输入独占一个端口；ParamPortOrder:" + columnItem.getModelParamPortOrder() + ",ParamOrder:" + columnItem.getModelParamOrder());
                    }
                }
            }
        }

            //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);
                    //补全数据
                    ColumnItem columnItem = entry.getColumnItemList().get(i);
                    dataEntityList = super.completionData(matrix.length, dataEntityList, columnItem.startTime, columnItem.endTime, columnItem.getParamType(),columnItem.getGranularity());
        int deviationIndex = 0;

                    /** 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;
        //对每个爪分别进行计算
        for (ColumnItemPort entry : sampleInfo.getColumnInfo()) {
            double[][] matrix = new double[0][0];
            // 特殊处理IND_ASCII类型
            if (entry.getColumnItemList().get(0).getParamType().equals(ModelParamType.IND_ASCII.getCode())) {
                // 获取指标数据
                ColumnItem columnItem = entry.getColumnItemList().get(0);
                ApiIndItemQueryDTO queryIndItemDTO = new ApiIndItemQueryDTO();
                ApiIndItemDTO intItem = indMap.get(columnItem.getParamId());
                queryIndItemDTO.setItemNo(intItem.getItemNo());
                queryIndItemDTO.setStart(columnItem.getStartTime());
                queryIndItemDTO.setEnd(columnItem.getEndTime());
                List<ApiIndItemValueDTO> indItemValueList = indItemApi.queryIndItemHistoryValue(queryIndItemDTO);
                if (!CollectionUtils.isEmpty(indItemValueList)) {
                    matrix = new double[entry.getDataLength()][0];
                    if (indItemValueList.size() > entry.getDataLength()) {
                        indItemValueList = indItemValueList.subList(0,entry.getDataLength());
                    }
                    for (int i = 0; i < indItemValueList.size(); i++) {
                        String stringValue = indItemValueList.get(i).getDataValue().toString();
                        double[] asciiArray = ASCIIUtil.stringToAsciiArray(stringValue);
                        matrix[i] = asciiArray;
                    }
                }
            }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
                    public int compare(ColumnItem o1, ColumnItem o2) {
                        return o1.getModelParamOrder() - o2.getModelParamOrder();
                    }
                });

                //默认都是double类型的数据,且按列向量进行拼接,默认初始值为0.0
                matrix = new double[entry.getDataLength()][entry.getColumnItemList().size()];
                for (int i = 0; i < entry.getColumnItemList().size(); i++) {
                    for (int j = 0; j < entry.getDataLength(); j++) {
                        matrix[j][i] = -2.0;
                    }
                }

                //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);
                        //补全数据
                        ColumnItem columnItem = entry.getColumnItemList().get(i);
                        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;
                                }
                            }
                        }
                    } catch (Exception e) {
                        e.printStackTrace();
                        throw e;
                    }
                } catch (Exception e) {
                    e.printStackTrace();
                    throw e;
                }
            }
            SampleData sampleData = new SampleData();
@@ -124,10 +176,11 @@
     * @param columnItem
     * @param pointMap
     * @param planMap
     * @param indMap
     * @return
     * @throws Exception
     */
    private List<DataValueVO> getData(ColumnItem columnItem, Map<String, ApiPointDTO> pointMap, Map<String, ApiPlanItemDTO> planMap) throws Exception {
    private List<DataValueVO> getData(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)) {
@@ -171,6 +224,25 @@
                    vo.setDataValue(t.getDataValue());
                    return vo;
                }).collect(Collectors.toList());
                break;
            case IND:
                ApiIndItemQueryDTO queryIndItemDTO = new ApiIndItemQueryDTO();
                ApiIndItemDTO intItem = indMap.get(columnItem.getParamId());
                queryIndItemDTO.setItemNo(intItem.getItemNo());
                queryIndItemDTO.setStart(columnItem.getStartTime());
                queryIndItemDTO.setEnd(columnItem.getEndTime());
                List<ApiIndItemValueDTO> indItemValueList = indItemApi.queryIndItemHistoryValue(queryIndItemDTO);
                if (CollectionUtils.isEmpty(indItemValueList)) {
                    break;
                }

                dataList = indItemValueList.stream().map(t -> {
                    DataValueVO vo = new DataValueVO();
                    vo.setDataTime(DateUtil.parse(t.getDataTime()));
                    vo.setDataValue(Double.valueOf(t.getDataValue().toString()));
                    return vo;
                }).collect(Collectors.toList());
                break;
            default:
                break;
        }