From 5bf42aa9950058f391805e6fb8d7376f4378924b Mon Sep 17 00:00:00 2001
From: 潘志宝 <979469083@qq.com>
Date: 星期一, 23 十二月 2024 16:16:55 +0800
Subject: [PATCH] cumulateHandle.getCurrent

---
 iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/PredictSampleDataConstructor.java |  108 +++++++++++++++++++++++++++++++++---------------------
 1 files changed, 66 insertions(+), 42 deletions(-)

diff --git a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/PredictSampleDataConstructor.java b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/PredictSampleDataConstructor.java
index f6573a1..093156e 100644
--- a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/PredictSampleDataConstructor.java
+++ b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/PredictSampleDataConstructor.java
@@ -1,29 +1,37 @@
 package com.iailab.module.model.mdk.sample;
 
-import com.iailab.framework.common.util.object.ConvertUtils;
+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;
 import com.iailab.module.data.api.point.dto.ApiPointDTO;
 import com.iailab.module.data.api.point.dto.ApiPointValueDTO;
 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.mcs.pre.entity.MmItemOutputEntity;
+import com.iailab.module.model.mcs.pre.service.MmItemOutputService;
 import com.iailab.module.model.mcs.pre.service.MmItemResultService;
-import com.iailab.module.model.mdk.factory.ItemEntityFactory;
+import com.iailab.module.model.mcs.pre.service.MmItemTypeService;
+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;
 import com.iailab.module.model.mdk.sample.dto.SampleData;
 import com.iailab.module.model.mdk.sample.dto.SampleInfo;
 import com.iailab.module.model.mdk.vo.DataValueVO;
-import com.iailab.module.model.mdk.vo.MmItemOutputVO;
+import lombok.extern.slf4j.Slf4j;
 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;
 
 /**
  * 预测样本数据构造
  */
+@Slf4j
 @Component
 public class PredictSampleDataConstructor extends SampleDataConstructor {
 
@@ -33,10 +41,16 @@
     private DataPointApi dataPointApi;
 
     @Autowired
+    private PlanItemApi planItemApi;
+
+    @Autowired
     private MmItemResultService mmItemResultService;
 
     @Autowired
-    private ItemEntityFactory itemEntityFactory;
+    private MmItemTypeService mmItemTypeService;
+
+    @Autowired
+    private MmItemOutputService mmItemOutputService;
 
     /**
      * 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,
@@ -46,10 +60,11 @@
      * @return
      */
     @Override
-    public List<SampleData> prepareSampleData(SampleInfo sampleInfo) {
+    public List<SampleData>  prepareSampleData(SampleInfo sampleInfo) throws Exception {
         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
-        int deviationIndex = 0;
         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>() {
@@ -67,30 +82,14 @@
                 }
             }
 
-            //找出对应的调整值
-            BigDecimal[] 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));
-                    //设置调整值
-                    if (deviationItem != null && deviationItem.length > 0) {
-                        logger.info("设置调整值, i = " + i);
-                        if (deviationItem[i] != null && deviationItem[i].compareTo(BigDecimal.ZERO) != 0) {
-                            for (int dataKey = 1; dataKey < dataEntityList.size(); dataKey++) {
-                                DataValueVO item = dataEntityList.get(dataKey);
-                                item.setDataValue(item.getDataValue() + deviationItem[i].doubleValue());
-                            }
-                        }
-                    }
+                    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.getEndTime(), columnItem.granularity);
+                    dataEntityList = super.completionData(matrix.length, dataEntityList, columnItem.startTime, columnItem.endTime,
+                            columnItem.paramId, columnItem.getParamType(),pointMap,planMap);
 
                     /** 如果数据取不满,把缺失的数据点放在后面 */
                     if (dataEntityList != null && dataEntityList.size() != 0) {
@@ -101,6 +100,7 @@
                     }
                 } catch (Exception e) {
                     e.printStackTrace();
+                    throw e;
                 }
             }
             SampleData sampleData = new SampleData();
@@ -114,35 +114,59 @@
      * getData
      *
      * @param columnItem
+     * @param pointMap
+     * @param planMap
      * @return
      * @throws Exception
      */
-    private List<DataValueVO> getData(ColumnItem columnItem) throws Exception {
+    private List<DataValueVO> getData(ColumnItem columnItem, Map<String, ApiPointDTO> pointMap, Map<String, ApiPlanItemDTO> planMap) throws Exception {
         List<DataValueVO> dataList = new ArrayList<>();
         String paramType = columnItem.getParamType();
-        switch (paramType) {
-            case "DATAPOINT":
-                ApiPointDTO point = dataPointApi.getPointById(columnItem.getId());
+        switch (ModelParamType.getEumByCode(paramType)) {
+            case DATAPOINT:
                 ApiPointValueQueryDTO queryDto = new ApiPointValueQueryDTO();
-                queryDto.setPointNo(point.getPointNo());
+                queryDto.setPointNo(pointMap.get(columnItem.getParamId()).getPointNo());
                 queryDto.setStart(columnItem.getStartTime());
                 queryDto.setEnd(columnItem.getEndTime());
-                List<ApiPointValueDTO> pointValueList = dataPointApi.getValue(queryDto);
-                dataList = ConvertUtils.sourceToTarget(pointValueList, DataValueVO.class);
-                break;
-            case "PREDICTITEM":
-                MmItemOutputVO outPut = itemEntityFactory.getItemOutPutById(columnItem.getId());
-                dataList = mmItemResultService.getPredictValue(outPut.getId(),
-                        columnItem.getStartTime(), columnItem.getEndTime());
-                if (dataList == null) {
-                    throw new Exception("没有预测值");
+                List<ApiPointValueDTO> pointValueList = dataPointApi.queryPointHistoryValue(queryDto);
+                if (CollectionUtils.isEmpty(pointValueList)) {
+                    break;
                 }
+                dataList = pointValueList.stream().map(t -> {
+                    DataValueVO vo = new DataValueVO();
+                    vo.setDataTime(t.getT());
+                    vo.setDataValue(t.getV());
+                    return vo;
+                }).collect(Collectors.toList());
                 break;
-
-
+            case NORMALITEM:
+            case MERGEITEM:
+                MmItemOutputEntity outPut = mmItemOutputService.getOutPutById(columnItem.getParamId());
+                List<DataValueVO> predictValue = mmItemResultService.getPredictValue(outPut.getId(), columnItem.getStartTime(), columnItem.getEndTime());
+                if (CollectionUtils.isEmpty(predictValue)) {
+                    break;
+                }
+                dataList = predictValue;
+                break;
+            case PLAN:
+                ApiDataQueryDTO queryPlanItemDto = new ApiDataQueryDTO();
+                queryPlanItemDto.setItemNo(planMap.get(columnItem.getParamId()).getItemNo());
+                queryPlanItemDto.setStart(columnItem.getStartTime());
+                queryPlanItemDto.setEnd(columnItem.getEndTime());
+                List<ApiDataValueDTO> planValueList = planItemApi.queryPlanItemHistoryValue(queryPlanItemDto);
+                if (CollectionUtils.isEmpty(planValueList)) {
+                    break;
+                }
+                dataList = planValueList.stream().map(t -> {
+                    DataValueVO vo = new DataValueVO();
+                    vo.setDataTime(t.getDataTime());
+                    vo.setDataValue(t.getDataValue());
+                    return vo;
+                }).collect(Collectors.toList());
             default:
                 break;
         }
+        log.info("数据获取,columnItem:" + columnItem + ",dataList" + dataList);
         return dataList;
     }
 }

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