| 提交 | 用户 | 时间 | ||
| 7fd198 | 1 | package com.iailab.module.model.mdk.sample; |
| 潘 | 2 | |
| 75a848 | 3 | import cn.hutool.core.date.DateUtil; |
| D | 4 | import com.iailab.module.data.api.ind.IndItemApi; |
| 5 | import com.iailab.module.data.api.ind.dto.ApiIndItemDTO; | |
| 6 | import com.iailab.module.data.api.ind.dto.ApiIndItemQueryDTO; | |
| 7 | import com.iailab.module.data.api.ind.dto.ApiIndItemValueDTO; | |
| 50084d | 8 | import com.iailab.module.data.api.plan.PlanItemApi; |
| 8bf553 | 9 | import com.iailab.module.data.api.plan.dto.ApiPlanItemDTO; |
| 7fd198 | 10 | import com.iailab.module.data.api.point.DataPointApi; |
| 潘 | 11 | import com.iailab.module.data.api.point.dto.ApiPointDTO; |
| 12 | import com.iailab.module.data.api.point.dto.ApiPointValueDTO; | |
| 13 | import com.iailab.module.data.api.point.dto.ApiPointValueQueryDTO; | |
| 50084d | 14 | import com.iailab.module.data.common.ApiDataQueryDTO; |
| D | 15 | import com.iailab.module.data.common.ApiDataValueDTO; |
| a4891a | 16 | import com.iailab.module.model.mcs.pre.service.MmItemOutputService; |
| c4b37d | 17 | import com.iailab.module.model.mcs.pre.service.MmItemResultJsonService; |
| 7fd198 | 18 | import com.iailab.module.model.mcs.pre.service.MmItemResultService; |
| a4891a | 19 | import com.iailab.module.model.mcs.pre.service.MmItemTypeService; |
| 潘 | 20 | import com.iailab.module.model.mdk.common.enums.ModelParamType; |
| 7fd198 | 21 | import com.iailab.module.model.mdk.sample.dto.ColumnItem; |
| 潘 | 22 | import com.iailab.module.model.mdk.sample.dto.ColumnItemPort; |
| 23 | import com.iailab.module.model.mdk.sample.dto.SampleData; | |
| 24 | import com.iailab.module.model.mdk.sample.dto.SampleInfo; | |
| 25 | import com.iailab.module.model.mdk.vo.DataValueVO; | |
| 50084d | 26 | import lombok.extern.slf4j.Slf4j; |
| 7fd198 | 27 | import org.slf4j.Logger; |
| 潘 | 28 | import org.slf4j.LoggerFactory; |
| 29 | import org.springframework.beans.factory.annotation.Autowired; | |
| 30 | import org.springframework.stereotype.Component; | |
| 50084d | 31 | import org.springframework.util.CollectionUtils; |
| 7fd198 | 32 | |
| 潘 | 33 | import java.util.*; |
| 214275 | 34 | import java.util.stream.Collectors; |
| 7fd198 | 35 | |
| 潘 | 36 | /** |
| 37 | * 预测样本数据构造 | |
| 38 | */ | |
| 50084d | 39 | @Slf4j |
| 7fd198 | 40 | @Component |
| 潘 | 41 | public class PredictSampleDataConstructor extends SampleDataConstructor { |
| 42 | ||
| 43 | private Logger logger = LoggerFactory.getLogger(getClass()); | |
| 44 | ||
| 45 | @Autowired | |
| 46 | private DataPointApi dataPointApi; | |
| 50084d | 47 | |
| D | 48 | @Autowired |
| 49 | private PlanItemApi planItemApi; | |
| 7fd198 | 50 | |
| 潘 | 51 | @Autowired |
| 75a848 | 52 | private IndItemApi indItemApi; |
| D | 53 | |
| 54 | @Autowired | |
| 7fd198 | 55 | private MmItemResultService mmItemResultService; |
| c4b37d | 56 | |
| D | 57 | @Autowired |
| 58 | private MmItemResultJsonService mmItemResultJsonService; | |
| 7fd198 | 59 | |
| 潘 | 60 | @Autowired |
| a4891a | 61 | private MmItemTypeService mmItemTypeService; |
| 潘 | 62 | |
| 63 | @Autowired | |
| 64 | private MmItemOutputService mmItemOutputService; | |
| 7fd198 | 65 | |
| 潘 | 66 | /** |
| 67 | * 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， | |
| 68 | * 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 | |
| 69 | * | |
| 70 | * @param sampleInfo | |
| 71 | * @return | |
| 72 | */ | |
| 73 | @Override | |
| bab433 | 74 | public List<SampleData> prepareSampleData(SampleInfo sampleInfo) throws Exception { |
| 7fd198 | 75 | List<SampleData> sampleDataList = new ArrayList<>(); |
| 50084d | 76 | Map<String, ApiPointDTO> pointMap = sampleInfo.getPointMap(); |
| 8bf553 | 77 | Map<String, ApiPlanItemDTO> planMap = sampleInfo.getPlanMap(); |
| 75a848 | 78 | Map<String, ApiIndItemDTO> indMap = sampleInfo.getIndMap(); |
| 7fd198 | 79 | //对每个爪分别进行计算 |
| 潘 | 80 | for (ColumnItemPort entry : sampleInfo.getColumnInfo()) { |
| 81 | //先依据爪内数据项的modelParamOrder进行排序——重写comparator匿名函数 | |
| 82 | Collections.sort(entry.getColumnItemList(), new Comparator<ColumnItem>() { | |
| 83 | @Override | |
| 84 | public int compare(ColumnItem o1, ColumnItem o2) { | |
| 85 | return o1.getModelParamOrder() - o2.getModelParamOrder(); | |
| 86 | } | |
| 87 | }); | |
| 88 | ||
| 89 | //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 | |
| 90 | double[][] matrix = new double[entry.getDataLength()][entry.getColumnItemList().size()]; | |
| 91 | for (int i = 0; i < entry.getColumnItemList().size(); i++) { | |
| 92 | for (int j = 0; j < entry.getDataLength(); j++) { | |
| 93 | matrix[j][i] = -2.0; | |
| 94 | } | |
| 95 | } | |
| 96 | ||
| 97 | //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 | |
| 98 | for (int i = 0; i < entry.getColumnItemList().size(); i++) { | |
| 99 | try { | |
| 75a848 | 100 | List<DataValueVO> dataEntityList = getData(entry.getColumnItemList().get(i), pointMap, planMap,indMap); |
| 7fd198 | 101 | //补全数据 |
| 潘 | 102 | ColumnItem columnItem = entry.getColumnItemList().get(i); |
| e691b9 | 103 | dataEntityList = super.completionData(matrix.length, dataEntityList, columnItem.startTime, columnItem.endTime, columnItem.getParamType(),columnItem.getGranularity()); |
| 7fd198 | 104 | |
| 潘 | 105 | /** 如果数据取不满，把缺失的数据点放在后面 */ |
| 106 | if (dataEntityList != null && dataEntityList.size() != 0) { | |
| 107 | logger.info("设置matrix, i = " + i + ", size = " + dataEntityList.size()); | |
| 108 | for (int k = 0; k < dataEntityList.size(); k++) { | |
| e691b9 | 109 | Double dataValue = dataEntityList.get(k).getDataValue(); |
| D | 110 | if (null != dataValue) { |
| 111 | matrix[k][i] = dataValue; | |
| 112 | } | |
| 7fd198 | 113 | } |
| 潘 | 114 | } |
| 115 | } catch (Exception e) { | |
| 116 | e.printStackTrace(); | |
| 50084d | 117 | throw e; |
| 7fd198 | 118 | } |
| 潘 | 119 | } |
| 120 | SampleData sampleData = new SampleData(); | |
| 121 | sampleData.setMatrix(matrix); | |
| 122 | sampleDataList.add(sampleData); | |
| 123 | } | |
| 124 | return sampleDataList; | |
| 125 | } | |
| 126 | ||
| 127 | /** | |
| 128 | * getData | |
| 129 | * | |
| 130 | * @param columnItem | |
| 50084d | 131 | * @param pointMap |
| 8bf553 | 132 | * @param planMap |
| 75a848 | 133 | * @param indMap |
| 7fd198 | 134 | * @return |
| 潘 | 135 | * @throws Exception |
| 136 | */ | |
| 75a848 | 137 | private List<DataValueVO> getData(ColumnItem columnItem, Map<String, ApiPointDTO> pointMap, Map<String, ApiPlanItemDTO> planMap, Map<String, ApiIndItemDTO> indMap) throws Exception { |
| 7fd198 | 138 | List<DataValueVO> dataList = new ArrayList<>(); |
| 潘 | 139 | String paramType = columnItem.getParamType(); |
| a4891a | 140 | switch (ModelParamType.getEumByCode(paramType)) { |
| 潘 | 141 | case DATAPOINT: |
| 7fd198 | 142 | ApiPointValueQueryDTO queryDto = new ApiPointValueQueryDTO(); |
| 50084d | 143 | queryDto.setPointNo(pointMap.get(columnItem.getParamId()).getPointNo()); |
| 7fd198 | 144 | queryDto.setStart(columnItem.getStartTime()); |
| 潘 | 145 | queryDto.setEnd(columnItem.getEndTime()); |
| 536b8e | 146 | List<ApiPointValueDTO> pointValueList = dataPointApi.queryPointHistoryValue(queryDto); |
| 50084d | 147 | if (CollectionUtils.isEmpty(pointValueList)) { |
| D | 148 | break; |
| 149 | } | |
| a4891a | 150 | dataList = pointValueList.stream().map(t -> { |
| 214275 | 151 | DataValueVO vo = new DataValueVO(); |
| 潘 | 152 | vo.setDataTime(t.getT()); |
| 153 | vo.setDataValue(t.getV()); | |
| 154 | return vo; | |
| 155 | }).collect(Collectors.toList()); | |
| 7fd198 | 156 | break; |
| 19a4fb | 157 | case NORMALITEM: |
| D | 158 | case MERGEITEM: |
| 033e69 | 159 | List<DataValueVO> predictValue = mmItemResultService.getPredictValue(columnItem.getParamId(), columnItem.getStartTime(), columnItem.getEndTime()); |
| 037fb7 | 160 | |
| 50084d | 161 | if (CollectionUtils.isEmpty(predictValue)) { |
| D | 162 | break; |
| 7fd198 | 163 | } |
| 50084d | 164 | dataList = predictValue; |
| 7fd198 | 165 | break; |
| 50084d | 166 | case PLAN: |
| D | 167 | ApiDataQueryDTO queryPlanItemDto = new ApiDataQueryDTO(); |
| 8bf553 | 168 | queryPlanItemDto.setItemNo(planMap.get(columnItem.getParamId()).getItemNo()); |
| 50084d | 169 | queryPlanItemDto.setStart(columnItem.getStartTime()); |
| D | 170 | queryPlanItemDto.setEnd(columnItem.getEndTime()); |
| 171 | List<ApiDataValueDTO> planValueList = planItemApi.queryPlanItemHistoryValue(queryPlanItemDto); | |
| 172 | if (CollectionUtils.isEmpty(planValueList)) { | |
| 173 | break; | |
| 174 | } | |
| 175 | dataList = planValueList.stream().map(t -> { | |
| 176 | DataValueVO vo = new DataValueVO(); | |
| 177 | vo.setDataTime(t.getDataTime()); | |
| 178 | vo.setDataValue(t.getDataValue()); | |
| 179 | return vo; | |
| 180 | }).collect(Collectors.toList()); | |
| af5604 | 181 | break; |
| 75a848 | 182 | case IND: |
| D | 183 | ApiIndItemQueryDTO queryIndItemDTO = new ApiIndItemQueryDTO(); |
| 184 | ApiIndItemDTO intItem = indMap.get(columnItem.getParamId()); | |
| 185 | queryIndItemDTO.setItemNo(intItem.getItemNo()); | |
| 186 | queryIndItemDTO.setStart(columnItem.getStartTime()); | |
| 187 | queryIndItemDTO.setEnd(columnItem.getEndTime()); | |
| 188 | List<ApiIndItemValueDTO> indItemValueList = indItemApi.queryIndItemHistoryValue(queryIndItemDTO); | |
| 189 | if (CollectionUtils.isEmpty(indItemValueList)) { | |
| 190 | break; | |
| 191 | } | |
| 192 | ||
| 193 | dataList = indItemValueList.stream().map(t -> { | |
| 194 | DataValueVO vo = new DataValueVO(); | |
| 195 | vo.setDataTime(DateUtil.parse(t.getDataTime())); | |
| 196 | vo.setDataValue(t.getDataValue()); | |
| 197 | return vo; | |
| 198 | }).collect(Collectors.toList()); | |
| 7fd198 | 199 | default: |
| 潘 | 200 | break; |
| 201 | } | |
| e9f7b1 | 202 | // 避免生产环境日志过多，分级打印 |
| 9f09d4 | 203 | log.debug("数据获取,columnItem:" + columnItem + ",dataList：" + dataList); |
| D | 204 | log.info("数据获取,columnItem:" + columnItem + ",dataListLength：" + dataList.size()); |
| 7fd198 | 205 | return dataList; |
| 潘 | 206 | } |
| 207 | } | |
