From 280ca0c6a4a1e73ab4516d4850dedb5a43541594 Mon Sep 17 00:00:00 2001
From: Jay <csj123456>
Date: 星期一, 20 一月 2025 15:25:31 +0800
Subject: [PATCH] Merge remote-tracking branch 'origin/master'

---
 iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/SampleDataConstructor.java |   90 ++++++++++++++++++++++++++++++++++++++------
 1 files changed, 77 insertions(+), 13 deletions(-)

diff --git a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/SampleDataConstructor.java b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/SampleDataConstructor.java
index bee81d5..6915322 100644
--- a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/SampleDataConstructor.java
+++ b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/sample/SampleDataConstructor.java
@@ -1,10 +1,19 @@
 package com.iailab.module.model.mdk.sample;
 
+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.enums.DataPointFreqEnum;
+import com.iailab.module.data.enums.TimeGranularitySecEnum;
+import com.iailab.module.model.mcs.pre.enums.PredGranularityEnum;
+import com.iailab.module.model.mdk.common.enums.ModelParamType;
 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 org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
+import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.util.CollectionUtils;
 
 import java.util.*;
@@ -13,13 +22,18 @@
 
     private Logger logger = LoggerFactory.getLogger(getClass());
 
+    @Autowired
+    private DataPointApi dataPointApi;
+    @Autowired
+    private PlanItemApi planItemApi;
+
     /**
      * prepareSampleData
      *
      * @param sampleInfo
      * @return
      */
-    public abstract List<SampleData> prepareSampleData(SampleInfo sampleInfo);
+    public abstract List<SampleData> prepareSampleData(SampleInfo sampleInfo) throws Exception;
 
     /**
      * 补全数据
@@ -30,23 +44,76 @@
      * @param endTime
      * @return
      */
-    public List<DataValueVO> completionData(int length, List<DataValueVO> dataEntityList, Date startTime, Date endTime, int granularity) {
-        if (CollectionUtils.isEmpty(dataEntityList) || length <= dataEntityList.size()) {
+    public List<DataValueVO> completionData(int length, List<DataValueVO> dataEntityList, Date startTime, Date endTime, String paramType, Integer granularity) {
+        if (CollectionUtils.isEmpty(dataEntityList) || length == dataEntityList.size()) {
             return dataEntityList;
+        } else if (length < dataEntityList.size()) {
+            return dataEntityList.subList(dataEntityList.size() - length, dataEntityList.size());
         }
-        logger.info("补全数据, length =" + length + "; size = " + dataEntityList.size() + "; startTime = " + startTime.getTime() + "; endTime = " + endTime.getTime());
-        logger.info("补全前:" + dataEntityList);
 
+        List<DataValueVO> completionDataEntityList = new ArrayList<>();
+        long oneMin = 0L;
+
+        long start = startTime.getTime();
+        long end = endTime.getTime();
+        long mins = 0L;
+
+        switch (ModelParamType.getEumByCode(paramType)) {
+            case NORMALITEM:
+            case MERGEITEM:
+                // 预测值
+                oneMin = granularity * 1000L;
+                // 设置时间偏移量
+                if (granularity >= 24*60*60) {
+                    // 如果时间粒度大于等于一天,因为时区问题,特殊处理,否则时间为8:00,而非0:00
+                    start = start - ((start+8*60*60*1000) % oneMin);
+                    end = end - ((end+8*60*60*1000) % oneMin);
+                } else {
+                    start = start - (start % oneMin);
+                    end = end - (end % oneMin);
+                }
+                mins = ((end - start) / oneMin);
+                break;
+            case DATAPOINT:
+            case PLAN:
+                // 测点值
+                oneMin = 1000L * granularity;
+                // 设置时间偏移量
+                if (granularity >= 24*60*60) {
+                    // 如果时间粒度大于等于一天,因为时区问题,特殊处理,否则时间为8:00,而非0:00
+                    start = start - ((start+8*60*60*1000) % oneMin);
+                    end = end - ((end+8*60*60*1000) % oneMin);
+                } else {
+                    start = start - (start % oneMin);
+                    end = end - (end % oneMin);
+                }
+                mins = ((end - start) / oneMin);
+                break;
+            case IND:
+                // 测点值
+                oneMin = 1000L * granularity;
+                // 设置时间偏移量
+                if (granularity >= 24*60*60) {
+                    // 如果时间粒度大于等于一天,因为时区问题,特殊处理,否则时间为8:00,而非0:00
+                    start = start - ((start+8*60*60*1000) % oneMin);
+                    end = end - ((end+8*60*60*1000) % oneMin);
+                } else {
+                    start = start - (start % oneMin);
+                    end = end - (end % oneMin);
+                }
+                mins = ((end - start) / oneMin) + 1;
+                break;
+            default:
+                break;
+        }
         Map<Long, Double> sourceDataMap = new HashMap<>(dataEntityList.size());
         for (DataValueVO dataEntity : dataEntityList) {
-            sourceDataMap.put(dataEntity.getDataTime().getTime(), dataEntity.getDataValue());
+            if (null != dataEntity.getDataTime()) {
+                sourceDataMap.put(dataEntity.getDataTime().getTime(), dataEntity.getDataValue());
+            }
         }
 
         //找出缺少项
-        long oneMin = 1000 * granularity;
-        long start = startTime.getTime();
-        long end = endTime.getTime();
-        long mins = ((end - start) / oneMin) + 1;
         Map<Long, Double> dataMap = new LinkedHashMap<>();
         for (int i = 0; i < mins; i++) {
             Long key = start + oneMin * i;
@@ -57,7 +124,6 @@
         //补充缺少项
         int k = 0;
         Map.Entry<Long, Double> lastItem = null;
-        List<DataValueVO> completionDataEntityList = new ArrayList<>();
         for (Map.Entry<Long, Double> item : dataMap.entrySet()) {
             if (k == 0 && item.getValue() == null) {
                 item.setValue(getFirstValue(dataMap));
@@ -72,8 +138,6 @@
             dataEntity.setDataValue(item.getValue());
             completionDataEntityList.add(dataEntity);
         }
-
-        logger.info("补全后:" + completionDataEntityList);
         return completionDataEntityList;
     }
 

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