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 |
|
fdcde1
|
33 |
import java.math.BigDecimal; |
7fd198
|
34 |
import java.util.*; |
214275
|
35 |
import java.util.stream.Collectors; |
7fd198
|
36 |
|
潘 |
37 |
/** |
|
38 |
* 预测样本数据构造 |
|
39 |
*/ |
50084d
|
40 |
@Slf4j |
7fd198
|
41 |
@Component |
潘 |
42 |
public class PredictSampleDataConstructor extends SampleDataConstructor { |
|
43 |
|
|
44 |
private Logger logger = LoggerFactory.getLogger(getClass()); |
|
45 |
|
|
46 |
@Autowired |
|
47 |
private DataPointApi dataPointApi; |
50084d
|
48 |
|
D |
49 |
@Autowired |
|
50 |
private PlanItemApi planItemApi; |
7fd198
|
51 |
|
潘 |
52 |
@Autowired |
75a848
|
53 |
private IndItemApi indItemApi; |
D |
54 |
|
|
55 |
@Autowired |
7fd198
|
56 |
private MmItemResultService mmItemResultService; |
c4b37d
|
57 |
|
D |
58 |
@Autowired |
|
59 |
private MmItemResultJsonService mmItemResultJsonService; |
7fd198
|
60 |
|
潘 |
61 |
@Autowired |
a4891a
|
62 |
private MmItemTypeService mmItemTypeService; |
潘 |
63 |
|
|
64 |
@Autowired |
|
65 |
private MmItemOutputService mmItemOutputService; |
7fd198
|
66 |
|
潘 |
67 |
/** |
|
68 |
* 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, |
|
69 |
* 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 |
|
70 |
* |
|
71 |
* @param sampleInfo |
|
72 |
* @return |
|
73 |
*/ |
|
74 |
@Override |
bab433
|
75 |
public List<SampleData> prepareSampleData(SampleInfo sampleInfo) throws Exception { |
7fd198
|
76 |
List<SampleData> sampleDataList = new ArrayList<>(); |
50084d
|
77 |
Map<String, ApiPointDTO> pointMap = sampleInfo.getPointMap(); |
8bf553
|
78 |
Map<String, ApiPlanItemDTO> planMap = sampleInfo.getPlanMap(); |
75a848
|
79 |
Map<String, ApiIndItemDTO> indMap = sampleInfo.getIndMap(); |
fdcde1
|
80 |
int deviationIndex = 0; |
潘 |
81 |
|
7fd198
|
82 |
//对每个爪分别进行计算 |
潘 |
83 |
for (ColumnItemPort entry : sampleInfo.getColumnInfo()) { |
|
84 |
//先依据爪内数据项的modelParamOrder进行排序——重写comparator匿名函数 |
|
85 |
Collections.sort(entry.getColumnItemList(), new Comparator<ColumnItem>() { |
|
86 |
@Override |
|
87 |
public int compare(ColumnItem o1, ColumnItem o2) { |
|
88 |
return o1.getModelParamOrder() - o2.getModelParamOrder(); |
|
89 |
} |
|
90 |
}); |
|
91 |
|
|
92 |
//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 |
|
93 |
double[][] matrix = new double[entry.getDataLength()][entry.getColumnItemList().size()]; |
|
94 |
for (int i = 0; i < entry.getColumnItemList().size(); i++) { |
|
95 |
for (int j = 0; j < entry.getDataLength(); j++) { |
|
96 |
matrix[j][i] = -2.0; |
|
97 |
} |
|
98 |
} |
|
99 |
|
fdcde1
|
100 |
//找出对应的调整值 |
潘 |
101 |
double[] deviationItem = null; |
|
102 |
if (sampleInfo.getDeviation() != null && sampleInfo.getDeviation().length > 0) { |
|
103 |
deviationItem = sampleInfo.getDeviation()[deviationIndex]; |
|
104 |
} |
|
105 |
deviationIndex ++; |
|
106 |
|
7fd198
|
107 |
//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 |
潘 |
108 |
for (int i = 0; i < entry.getColumnItemList().size(); i++) { |
|
109 |
try { |
75a848
|
110 |
List<DataValueVO> dataEntityList = getData(entry.getColumnItemList().get(i), pointMap, planMap,indMap); |
fdcde1
|
111 |
|
潘 |
112 |
//设置调整值 |
|
113 |
if (deviationItem != null && deviationItem.length > 0) { |
|
114 |
logger.info("设置调整值, i = " + i); |
|
115 |
if (deviationItem[i] <= 0) { |
|
116 |
continue; |
|
117 |
} |
|
118 |
for(int dataKey = 1; dataKey < dataEntityList.size(); dataKey ++) { |
|
119 |
DataValueVO item = dataEntityList.get(dataKey); |
|
120 |
item.setDataValue(item.getDataValue() + deviationItem[i]); |
|
121 |
} |
|
122 |
} |
|
123 |
|
|
124 |
// 补全数据 |
7fd198
|
125 |
ColumnItem columnItem = entry.getColumnItemList().get(i); |
e691b9
|
126 |
dataEntityList = super.completionData(matrix.length, dataEntityList, columnItem.startTime, columnItem.endTime, columnItem.getParamType(),columnItem.getGranularity()); |
7fd198
|
127 |
|
潘 |
128 |
/** 如果数据取不满,把缺失的数据点放在后面 */ |
|
129 |
if (dataEntityList != null && dataEntityList.size() != 0) { |
|
130 |
logger.info("设置matrix, i = " + i + ", size = " + dataEntityList.size()); |
|
131 |
for (int k = 0; k < dataEntityList.size(); k++) { |
e691b9
|
132 |
Double dataValue = dataEntityList.get(k).getDataValue(); |
D |
133 |
if (null != dataValue) { |
|
134 |
matrix[k][i] = dataValue; |
|
135 |
} |
7fd198
|
136 |
} |
潘 |
137 |
} |
|
138 |
} catch (Exception e) { |
|
139 |
e.printStackTrace(); |
50084d
|
140 |
throw e; |
7fd198
|
141 |
} |
潘 |
142 |
} |
|
143 |
SampleData sampleData = new SampleData(); |
|
144 |
sampleData.setMatrix(matrix); |
|
145 |
sampleDataList.add(sampleData); |
|
146 |
} |
|
147 |
return sampleDataList; |
|
148 |
} |
|
149 |
|
|
150 |
/** |
|
151 |
* getData |
|
152 |
* |
|
153 |
* @param columnItem |
50084d
|
154 |
* @param pointMap |
8bf553
|
155 |
* @param planMap |
75a848
|
156 |
* @param indMap |
7fd198
|
157 |
* @return |
潘 |
158 |
* @throws Exception |
|
159 |
*/ |
75a848
|
160 |
private List<DataValueVO> getData(ColumnItem columnItem, Map<String, ApiPointDTO> pointMap, Map<String, ApiPlanItemDTO> planMap, Map<String, ApiIndItemDTO> indMap) throws Exception { |
7fd198
|
161 |
List<DataValueVO> dataList = new ArrayList<>(); |
潘 |
162 |
String paramType = columnItem.getParamType(); |
a4891a
|
163 |
switch (ModelParamType.getEumByCode(paramType)) { |
潘 |
164 |
case DATAPOINT: |
7fd198
|
165 |
ApiPointValueQueryDTO queryDto = new ApiPointValueQueryDTO(); |
50084d
|
166 |
queryDto.setPointNo(pointMap.get(columnItem.getParamId()).getPointNo()); |
7fd198
|
167 |
queryDto.setStart(columnItem.getStartTime()); |
潘 |
168 |
queryDto.setEnd(columnItem.getEndTime()); |
536b8e
|
169 |
List<ApiPointValueDTO> pointValueList = dataPointApi.queryPointHistoryValue(queryDto); |
50084d
|
170 |
if (CollectionUtils.isEmpty(pointValueList)) { |
D |
171 |
break; |
|
172 |
} |
a4891a
|
173 |
dataList = pointValueList.stream().map(t -> { |
214275
|
174 |
DataValueVO vo = new DataValueVO(); |
潘 |
175 |
vo.setDataTime(t.getT()); |
|
176 |
vo.setDataValue(t.getV()); |
|
177 |
return vo; |
|
178 |
}).collect(Collectors.toList()); |
7fd198
|
179 |
break; |
19a4fb
|
180 |
case NORMALITEM: |
D |
181 |
case MERGEITEM: |
033e69
|
182 |
List<DataValueVO> predictValue = mmItemResultService.getPredictValue(columnItem.getParamId(), columnItem.getStartTime(), columnItem.getEndTime()); |
037fb7
|
183 |
|
50084d
|
184 |
if (CollectionUtils.isEmpty(predictValue)) { |
D |
185 |
break; |
7fd198
|
186 |
} |
50084d
|
187 |
dataList = predictValue; |
7fd198
|
188 |
break; |
50084d
|
189 |
case PLAN: |
D |
190 |
ApiDataQueryDTO queryPlanItemDto = new ApiDataQueryDTO(); |
8bf553
|
191 |
queryPlanItemDto.setItemNo(planMap.get(columnItem.getParamId()).getItemNo()); |
50084d
|
192 |
queryPlanItemDto.setStart(columnItem.getStartTime()); |
D |
193 |
queryPlanItemDto.setEnd(columnItem.getEndTime()); |
|
194 |
List<ApiDataValueDTO> planValueList = planItemApi.queryPlanItemHistoryValue(queryPlanItemDto); |
|
195 |
if (CollectionUtils.isEmpty(planValueList)) { |
|
196 |
break; |
|
197 |
} |
|
198 |
dataList = planValueList.stream().map(t -> { |
|
199 |
DataValueVO vo = new DataValueVO(); |
|
200 |
vo.setDataTime(t.getDataTime()); |
|
201 |
vo.setDataValue(t.getDataValue()); |
|
202 |
return vo; |
|
203 |
}).collect(Collectors.toList()); |
af5604
|
204 |
break; |
75a848
|
205 |
case IND: |
D |
206 |
ApiIndItemQueryDTO queryIndItemDTO = new ApiIndItemQueryDTO(); |
|
207 |
ApiIndItemDTO intItem = indMap.get(columnItem.getParamId()); |
|
208 |
queryIndItemDTO.setItemNo(intItem.getItemNo()); |
|
209 |
queryIndItemDTO.setStart(columnItem.getStartTime()); |
|
210 |
queryIndItemDTO.setEnd(columnItem.getEndTime()); |
|
211 |
List<ApiIndItemValueDTO> indItemValueList = indItemApi.queryIndItemHistoryValue(queryIndItemDTO); |
|
212 |
if (CollectionUtils.isEmpty(indItemValueList)) { |
|
213 |
break; |
|
214 |
} |
|
215 |
|
|
216 |
dataList = indItemValueList.stream().map(t -> { |
|
217 |
DataValueVO vo = new DataValueVO(); |
|
218 |
vo.setDataTime(DateUtil.parse(t.getDataTime())); |
|
219 |
vo.setDataValue(t.getDataValue()); |
|
220 |
return vo; |
|
221 |
}).collect(Collectors.toList()); |
7fd198
|
222 |
default: |
潘 |
223 |
break; |
|
224 |
} |
e9f7b1
|
225 |
// 避免生产环境日志过多,分级打印 |
9f09d4
|
226 |
log.debug("数据获取,columnItem:" + columnItem + ",dataList:" + dataList); |
D |
227 |
log.info("数据获取,columnItem:" + columnItem + ",dataListLength:" + dataList.size()); |
7fd198
|
228 |
return dataList; |
潘 |
229 |
} |
|
230 |
} |