| 提交 | 用户 | 时间 | ||
| 7fd198 | 1 | package com.iailab.module.model.mdk.sample; |
| 潘 | 2 | |
| 50084d | 3 | import com.iailab.module.data.api.plan.PlanItemApi; |
| 8bf553 | 4 | import com.iailab.module.data.api.plan.dto.ApiPlanItemDTO; |
| 7fd198 | 5 | import com.iailab.module.data.api.point.DataPointApi; |
| 潘 | 6 | import com.iailab.module.data.api.point.dto.ApiPointDTO; |
| 7 | import com.iailab.module.data.api.point.dto.ApiPointValueDTO; | |
| 8 | import com.iailab.module.data.api.point.dto.ApiPointValueQueryDTO; | |
| 50084d | 9 | import com.iailab.module.data.common.ApiDataQueryDTO; |
| D | 10 | import com.iailab.module.data.common.ApiDataValueDTO; |
| c4b37d | 11 | import com.iailab.module.model.common.enums.OutResultType; |
| a4891a | 12 | import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity; |
| 潘 | 13 | import com.iailab.module.model.mcs.pre.service.MmItemOutputService; |
| c4b37d | 14 | import com.iailab.module.model.mcs.pre.service.MmItemResultJsonService; |
| 7fd198 | 15 | import com.iailab.module.model.mcs.pre.service.MmItemResultService; |
| a4891a | 16 | import com.iailab.module.model.mcs.pre.service.MmItemTypeService; |
| 潘 | 17 | import com.iailab.module.model.mdk.common.enums.ModelParamType; |
| 7fd198 | 18 | import com.iailab.module.model.mdk.sample.dto.ColumnItem; |
| 潘 | 19 | import com.iailab.module.model.mdk.sample.dto.ColumnItemPort; |
| 20 | import com.iailab.module.model.mdk.sample.dto.SampleData; | |
| 21 | import com.iailab.module.model.mdk.sample.dto.SampleInfo; | |
| 22 | import com.iailab.module.model.mdk.vo.DataValueVO; | |
| 50084d | 23 | import lombok.extern.slf4j.Slf4j; |
| c4b37d | 24 | import org.apache.commons.lang3.StringUtils; |
| 7fd198 | 25 | import org.slf4j.Logger; |
| 潘 | 26 | import org.slf4j.LoggerFactory; |
| 27 | import org.springframework.beans.factory.annotation.Autowired; | |
| 28 | import org.springframework.stereotype.Component; | |
| 50084d | 29 | import org.springframework.util.CollectionUtils; |
| 7fd198 | 30 | |
| 潘 | 31 | import java.util.*; |
| 214275 | 32 | import java.util.stream.Collectors; |
| 7fd198 | 33 | |
| 潘 | 34 | /** |
| 35 | * 预测样本数据构造 | |
| 36 | */ | |
| 50084d | 37 | @Slf4j |
| 7fd198 | 38 | @Component |
| 潘 | 39 | public class PredictSampleDataConstructor extends SampleDataConstructor { |
| 40 | ||
| 41 | private Logger logger = LoggerFactory.getLogger(getClass()); | |
| 42 | ||
| 43 | @Autowired | |
| 44 | private DataPointApi dataPointApi; | |
| 50084d | 45 | |
| D | 46 | @Autowired |
| 47 | private PlanItemApi planItemApi; | |
| 7fd198 | 48 | |
| 潘 | 49 | @Autowired |
| 50 | private MmItemResultService mmItemResultService; | |
| c4b37d | 51 | |
| D | 52 | @Autowired |
| 53 | private MmItemResultJsonService mmItemResultJsonService; | |
| 7fd198 | 54 | |
| 潘 | 55 | @Autowired |
| a4891a | 56 | private MmItemTypeService mmItemTypeService; |
| 潘 | 57 | |
| 58 | @Autowired | |
| 59 | private MmItemOutputService mmItemOutputService; | |
| 7fd198 | 60 | |
| 潘 | 61 | /** |
| 62 | * 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， | |
| 63 | * 对爪内数据样本拼接：先基于modelParamOrder对项进行排序（重写comparator匿名函数），再逐项拼接 | |
| 64 | * | |
| 65 | * @param sampleInfo | |
| 66 | * @return | |
| 67 | */ | |
| 68 | @Override | |
| bab433 | 69 | public List<SampleData> prepareSampleData(SampleInfo sampleInfo) throws Exception { |
| 7fd198 | 70 | List<SampleData> sampleDataList = new ArrayList<>(); |
| 50084d | 71 | Map<String, ApiPointDTO> pointMap = sampleInfo.getPointMap(); |
| 8bf553 | 72 | Map<String, ApiPlanItemDTO> planMap = sampleInfo.getPlanMap(); |
| 7fd198 | 73 | //对每个爪分别进行计算 |
| 潘 | 74 | for (ColumnItemPort entry : sampleInfo.getColumnInfo()) { |
| 75 | //先依据爪内数据项的modelParamOrder进行排序——重写comparator匿名函数 | |
| 76 | Collections.sort(entry.getColumnItemList(), new Comparator<ColumnItem>() { | |
| 77 | @Override | |
| 78 | public int compare(ColumnItem o1, ColumnItem o2) { | |
| 79 | return o1.getModelParamOrder() - o2.getModelParamOrder(); | |
| 80 | } | |
| 81 | }); | |
| 82 | ||
| 83 | //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 | |
| 84 | double[][] matrix = new double[entry.getDataLength()][entry.getColumnItemList().size()]; | |
| 85 | for (int i = 0; i < entry.getColumnItemList().size(); i++) { | |
| 86 | for (int j = 0; j < entry.getDataLength(); j++) { | |
| 87 | matrix[j][i] = -2.0; | |
| 88 | } | |
| 89 | } | |
| 90 | ||
| 91 | //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 | |
| 92 | for (int i = 0; i < entry.getColumnItemList().size(); i++) { | |
| 93 | try { | |
| bab433 | 94 | List<DataValueVO> dataEntityList = getData(entry.getColumnItemList().get(i), pointMap, planMap); |
| 7fd198 | 95 | //补全数据 |
| 潘 | 96 | ColumnItem columnItem = entry.getColumnItemList().get(i); |
| e691b9 | 97 | dataEntityList = super.completionData(matrix.length, dataEntityList, columnItem.startTime, columnItem.endTime, columnItem.getParamType(),columnItem.getGranularity()); |
| 7fd198 | 98 | |
| 潘 | 99 | /** 如果数据取不满，把缺失的数据点放在后面 */ |
| 100 | if (dataEntityList != null && dataEntityList.size() != 0) { | |
| 101 | logger.info("设置matrix, i = " + i + ", size = " + dataEntityList.size()); | |
| 102 | for (int k = 0; k < dataEntityList.size(); k++) { | |
| e691b9 | 103 | Double dataValue = dataEntityList.get(k).getDataValue(); |
| D | 104 | if (null != dataValue) { |
| 105 | matrix[k][i] = dataValue; | |
| 106 | } | |
| 7fd198 | 107 | } |
| 潘 | 108 | } |
| 109 | } catch (Exception e) { | |
| 110 | e.printStackTrace(); | |
| 50084d | 111 | throw e; |
| 7fd198 | 112 | } |
| 潘 | 113 | } |
| 114 | SampleData sampleData = new SampleData(); | |
| 115 | sampleData.setMatrix(matrix); | |
| 116 | sampleDataList.add(sampleData); | |
| 117 | } | |
| 118 | return sampleDataList; | |
| 119 | } | |
| 120 | ||
| 121 | /** | |
| 122 | * getData | |
| 123 | * | |
| 124 | * @param columnItem | |
| 50084d | 125 | * @param pointMap |
| 8bf553 | 126 | * @param planMap |
| 7fd198 | 127 | * @return |
| 潘 | 128 | * @throws Exception |
| 129 | */ | |
| 8bf553 | 130 | private List<DataValueVO> getData(ColumnItem columnItem, Map<String, ApiPointDTO> pointMap, Map<String, ApiPlanItemDTO> planMap) throws Exception { |
| 7fd198 | 131 | List<DataValueVO> dataList = new ArrayList<>(); |
| 潘 | 132 | String paramType = columnItem.getParamType(); |
| a4891a | 133 | switch (ModelParamType.getEumByCode(paramType)) { |
| 潘 | 134 | case DATAPOINT: |
| 7fd198 | 135 | ApiPointValueQueryDTO queryDto = new ApiPointValueQueryDTO(); |
| 50084d | 136 | queryDto.setPointNo(pointMap.get(columnItem.getParamId()).getPointNo()); |
| 7fd198 | 137 | queryDto.setStart(columnItem.getStartTime()); |
| 潘 | 138 | queryDto.setEnd(columnItem.getEndTime()); |
| 536b8e | 139 | List<ApiPointValueDTO> pointValueList = dataPointApi.queryPointHistoryValue(queryDto); |
| 50084d | 140 | if (CollectionUtils.isEmpty(pointValueList)) { |
| D | 141 | break; |
| 142 | } | |
| a4891a | 143 | dataList = pointValueList.stream().map(t -> { |
| 214275 | 144 | DataValueVO vo = new DataValueVO(); |
| 潘 | 145 | vo.setDataTime(t.getT()); |
| 146 | vo.setDataValue(t.getV()); | |
| 147 | return vo; | |
| 148 | }).collect(Collectors.toList()); | |
| 7fd198 | 149 | break; |
| 19a4fb | 150 | case NORMALITEM: |
| D | 151 | case MERGEITEM: |
| 033e69 | 152 | List<DataValueVO> predictValue = mmItemResultService.getPredictValue(columnItem.getParamId(), columnItem.getStartTime(), columnItem.getEndTime()); |
| 037fb7 | 153 | |
| 50084d | 154 | if (CollectionUtils.isEmpty(predictValue)) { |
| D | 155 | break; |
| 7fd198 | 156 | } |
| 50084d | 157 | dataList = predictValue; |
| 7fd198 | 158 | break; |
| 50084d | 159 | case PLAN: |
| D | 160 | ApiDataQueryDTO queryPlanItemDto = new ApiDataQueryDTO(); |
| 8bf553 | 161 | queryPlanItemDto.setItemNo(planMap.get(columnItem.getParamId()).getItemNo()); |
| 50084d | 162 | queryPlanItemDto.setStart(columnItem.getStartTime()); |
| D | 163 | queryPlanItemDto.setEnd(columnItem.getEndTime()); |
| 164 | List<ApiDataValueDTO> planValueList = planItemApi.queryPlanItemHistoryValue(queryPlanItemDto); | |
| 165 | if (CollectionUtils.isEmpty(planValueList)) { | |
| 166 | break; | |
| 167 | } | |
| 168 | dataList = planValueList.stream().map(t -> { | |
| 169 | DataValueVO vo = new DataValueVO(); | |
| 170 | vo.setDataTime(t.getDataTime()); | |
| 171 | vo.setDataValue(t.getDataValue()); | |
| 172 | return vo; | |
| 173 | }).collect(Collectors.toList()); | |
| 7fd198 | 174 | default: |
| 潘 | 175 | break; |
| 176 | } | |
| e9f7b1 | 177 | // 避免生产环境日志过多，分级打印 |
| 9f09d4 | 178 | log.debug("数据获取,columnItem:" + columnItem + ",dataList：" + dataList); |
| D | 179 | log.info("数据获取,columnItem:" + columnItem + ",dataListLength：" + dataList.size()); |
| 7fd198 | 180 | return dataList; |
| 潘 | 181 | } |
| 182 | } | |
