From 3058865fa4dfa634a92b4ebd826d8b1264dc90a3 Mon Sep 17 00:00:00 2001
From: houzhongjian <houzhongyi@126.com>
Date: 星期三, 05 三月 2025 15:04:41 +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/PredictSampleDataConstructor.java |  147 ++++++++++++++++++++++++++++++++++++------------
 1 files changed, 110 insertions(+), 37 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 5c680ed..6bd9314 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
@@ -1,5 +1,10 @@
 package com.iailab.module.model.mdk.sample;
 
+import cn.hutool.core.date.DateUtil;
+import com.iailab.module.data.api.ind.IndItemApi;
+import com.iailab.module.data.api.ind.dto.ApiIndItemDTO;
+import com.iailab.module.data.api.ind.dto.ApiIndItemQueryDTO;
+import com.iailab.module.data.api.ind.dto.ApiIndItemValueDTO;
 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;
@@ -8,8 +13,7 @@
 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.common.enums.OutResultType;
-import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity;
+import com.iailab.module.model.common.utils.ASCIIUtil;
 import com.iailab.module.model.mcs.pre.service.MmItemOutputService;
 import com.iailab.module.model.mcs.pre.service.MmItemResultJsonService;
 import com.iailab.module.model.mcs.pre.service.MmItemResultService;
@@ -21,13 +25,13 @@
 import com.iailab.module.model.mdk.sample.dto.SampleInfo;
 import com.iailab.module.model.mdk.vo.DataValueVO;
 import lombok.extern.slf4j.Slf4j;
-import org.apache.commons.lang3.StringUtils;
 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;
 
@@ -45,6 +49,9 @@
 
     @Autowired
     private PlanItemApi planItemApi;
+
+    @Autowired
+    private IndItemApi indItemApi;
 
     @Autowired
     private MmItemResultService mmItemResultService;
@@ -70,44 +77,90 @@
         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
-        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>() {
-                @Override
-                public int compare(ColumnItem o1, ColumnItem o2) {
-                    return o1.getModelParamOrder() - o2.getModelParamOrder();
-                }
-            });
-
-            //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
-            double[][] matrix = new double[entry.getDataLength()][entry.getColumnItemList().size()];
-            for (int i = 0; i < entry.getColumnItemList().size(); i++) {
-                for (int j = 0; j < entry.getDataLength(); j++) {
-                    matrix[j][i] = -2.0;
+        Map<String, ApiIndItemDTO> indMap = sampleInfo.getIndMap();
+        // 校验数据
+        for (ColumnItemPort itemPort : sampleInfo.getColumnInfo()) {
+            for (ColumnItem columnItem : itemPort.getColumnItemList()) {
+                if (columnItem.getParamType().equals(ModelParamType.IND_ASCII.getCode())) {
+                    if (columnItem.getModelParamOrder() != 1 || itemPort.getColumnItemList().size() != 1) {
+                        throw new RuntimeException("模型输入数据异常:IND_ASCII类型输入独占一个端口;ParamPortOrder:" + columnItem.getModelParamPortOrder() + ",ParamOrder:" + columnItem.getModelParamOrder());
+                    }
                 }
             }
+        }
 
-            //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), pointMap, planMap);
-                    //补全数据
-                    ColumnItem columnItem = entry.getColumnItemList().get(i);
-                    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) {
-                        logger.info("设置matrix, i = " + i + ", size = " + dataEntityList.size());
-                        for (int k = 0; k < dataEntityList.size(); k++) {
-                            matrix[k][i] = dataEntityList.get(k).getDataValue();
-                        }
+        int portIdx = 1;
+        //对每个爪分别进行计算
+        for (ColumnItemPort entry : sampleInfo.getColumnInfo()) {
+            double[][] matrix = new double[0][0];
+            // 特殊处理IND_ASCII类型
+            if (entry.getColumnItemList().get(0).getParamType().equals(ModelParamType.IND_ASCII.getCode())) {
+                // 获取指标数据
+                ColumnItem columnItem = entry.getColumnItemList().get(0);
+                ApiIndItemQueryDTO queryIndItemDTO = new ApiIndItemQueryDTO();
+                ApiIndItemDTO intItem = indMap.get(columnItem.getParamId());
+                queryIndItemDTO.setItemNo(intItem.getItemNo());
+                queryIndItemDTO.setStart(columnItem.getStartTime());
+                queryIndItemDTO.setEnd(columnItem.getEndTime());
+                List<ApiIndItemValueDTO> indItemValueList = indItemApi.queryIndItemHistoryValue(queryIndItemDTO);
+                if (!CollectionUtils.isEmpty(indItemValueList)) {
+                    matrix = new double[entry.getDataLength()][0];
+                    if (indItemValueList.size() > entry.getDataLength()) {
+                        indItemValueList = indItemValueList.subList(0, entry.getDataLength());
                     }
-                } catch (Exception e) {
-                    e.printStackTrace();
-                    throw e;
+                    for (int i = 0; i < indItemValueList.size(); i++) {
+                        String stringValue = indItemValueList.get(i).getDataValue().toString();
+                        double[] asciiArray = ASCIIUtil.stringToAsciiArray(stringValue);
+                        matrix[i] = asciiArray;
+                    }
                 }
+            } else {
+                //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>() {
+                    @Override
+                    public int compare(ColumnItem o1, ColumnItem o2) {
+                        return o1.getModelParamOrder() - o2.getModelParamOrder();
+                    }
+                });
+
+                //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
+                matrix = new double[entry.getDataLength()][entry.getColumnItemList().size()];
+                for (int i = 0; i < entry.getColumnItemList().size(); i++) {
+                    for (int j = 0; j < entry.getDataLength(); j++) {
+                        matrix[j][i] = -2.0;
+                    }
+                }
+
+                //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), pointMap, planMap, indMap);
+
+                        //补全数据
+                        ColumnItem columnItem = entry.getColumnItemList().get(i);
+                        dataEntityList = super.completionData(matrix.length, dataEntityList, columnItem.startTime, columnItem.endTime, columnItem.getParamType(), columnItem.getGranularity());
+
+
+                        /** 如果数据取不满,把缺失的数据点放在后面 */
+                        if (dataEntityList != null && dataEntityList.size() != 0) {
+                            logger.info("设置matrix, i = " + i + ", size = " + dataEntityList.size());
+                            // 调整值
+                            double adjustVal = SampleInfo.getAdjustValueFromDeviation(portIdx, i + 1, sampleInfo.getDeviation());
+                            for (int k = 0; k < dataEntityList.size(); k++) {
+                                Double dataValue = dataEntityList.get(k).getDataValue();
+                                if (null != dataValue) {
+                                    // 用BigDecimal计算,解决double精度问题
+                                    matrix[k][i] = BigDecimal.valueOf(dataValue).add(BigDecimal.valueOf(adjustVal)).doubleValue();
+                                }
+                            }
+                        }
+                    } catch (Exception e) {
+                        e.printStackTrace();
+                        throw e;
+                    }
+                }
+
+                portIdx++;
             }
             SampleData sampleData = new SampleData();
             sampleData.setMatrix(matrix);
@@ -122,10 +175,11 @@
      * @param columnItem
      * @param pointMap
      * @param planMap
+     * @param indMap
      * @return
      * @throws Exception
      */
-    private List<DataValueVO> getData(ColumnItem columnItem, Map<String, ApiPointDTO> pointMap, Map<String, ApiPlanItemDTO> planMap) throws Exception {
+    private List<DataValueVO> getData(ColumnItem columnItem, Map<String, ApiPointDTO> pointMap, Map<String, ApiPlanItemDTO> planMap, Map<String, ApiIndItemDTO> indMap) throws Exception {
         List<DataValueVO> dataList = new ArrayList<>();
         String paramType = columnItem.getParamType();
         switch (ModelParamType.getEumByCode(paramType)) {
@@ -169,6 +223,25 @@
                     vo.setDataValue(t.getDataValue());
                     return vo;
                 }).collect(Collectors.toList());
+                break;
+            case IND:
+                ApiIndItemQueryDTO queryIndItemDTO = new ApiIndItemQueryDTO();
+                ApiIndItemDTO intItem = indMap.get(columnItem.getParamId());
+                queryIndItemDTO.setItemNo(intItem.getItemNo());
+                queryIndItemDTO.setStart(columnItem.getStartTime());
+                queryIndItemDTO.setEnd(columnItem.getEndTime());
+                List<ApiIndItemValueDTO> indItemValueList = indItemApi.queryIndItemHistoryValue(queryIndItemDTO);
+                if (CollectionUtils.isEmpty(indItemValueList)) {
+                    break;
+                }
+
+                dataList = indItemValueList.stream().map(t -> {
+                    DataValueVO vo = new DataValueVO();
+                    vo.setDataTime(DateUtil.parse(t.getDataTime()));
+                    vo.setDataValue(Double.valueOf(t.getDataValue().toString()));
+                    return vo;
+                }).collect(Collectors.toList());
+                break;
             default:
                 break;
         }

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