From aa0382e44311f9f7e62a688c8fcaa9c69a512e0f Mon Sep 17 00:00:00 2001
From: dengzedong <dengzedong@email>
Date: 星期二, 24 十二月 2024 15:15:10 +0800
Subject: [PATCH] Merge remote-tracking branch 'origin/master'

---
 iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictModelHandlerImpl.java |   18 ++++++++++--------
 1 files changed, 10 insertions(+), 8 deletions(-)

diff --git a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictModelHandlerImpl.java b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictModelHandlerImpl.java
index f2c3cef..67ada3b 100644
--- a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictModelHandlerImpl.java
+++ b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictModelHandlerImpl.java
@@ -6,6 +6,7 @@
 import com.iail.model.IAILModel;
 import com.iailab.module.model.common.enums.CommonConstant;
 import com.iailab.module.model.common.enums.OutResultType;
+import com.iailab.module.model.common.exception.ModelResultErrorException;
 import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity;
 import com.iailab.module.model.mcs.pre.entity.MmModelArithSettingsEntity;
 import com.iailab.module.model.mcs.pre.entity.MmPredictModelEntity;
@@ -56,14 +57,14 @@
      * @throws ModelInvokeException
      */
     @Override
-    public synchronized PredictResultVO predictByModel(Date predictTime, MmPredictModelEntity predictModel,String itemName, ItemRunStatusEnum itemRunStatusEnum) throws ModelInvokeException {
+    public synchronized PredictResultVO predictByModel(Date predictTime, MmPredictModelEntity predictModel,String itemName,String itemNo) throws ModelInvokeException {
         PredictResultVO result = new PredictResultVO();
         if (predictModel == null) {
             throw new ModelInvokeException("modelEntity is null");
         }
         String modelId = predictModel.getId();
         try {
-            List<SampleData> sampleDataList = sampleConstructor.constructSample(TypeA.Predict.name(), modelId, predictTime);
+            List<SampleData> sampleDataList = sampleConstructor.constructSample(TypeA.Predict.name(), modelId, predictTime, itemName);
             String modelPath = predictModel.getModelpath();
             if (modelPath == null) {
                 log.info("模型路径不存在,modelId=" + modelId);
@@ -88,7 +89,7 @@
             param2Values[portLength] = newModelBean.getDataMap().get("models");
             param2Values[portLength + 1] = settings;
 
-            log.info("####################### 预测模型 "+ "【itemId:" + predictModel.getItemid() + ",itemName" + itemName + "】 ##########################");
+            log.info("####################### 预测模型 "+ "【itemId:" + predictModel.getItemid() + ",itemName:" + itemName + ",itemNo:" + itemNo + "】 ##########################");
 //            JSONObject jsonObjNewModelBean = new JSONObject();
 //            jsonObjNewModelBean.put("newModelBean", newModelBean);
 //            log.info(String.valueOf(jsonObjNewModelBean));
@@ -100,15 +101,13 @@
             HashMap<String, Object> modelResult = DllUtils.run(newModelBean, param2Values, predictModel.getMpkprojectid());
             if (!modelResult.containsKey(CommonConstant.MDK_STATUS_CODE) || !modelResult.containsKey(CommonConstant.MDK_RESULT) ||
                     !modelResult.get(CommonConstant.MDK_STATUS_CODE).toString().equals(CommonConstant.MDK_STATUS_100)) {
-                itemRunStatusEnum = ItemRunStatusEnum.MODELRESULTERROR;
-                throw new RuntimeException("模型结果异常:" + modelResult);
+                throw new ModelResultErrorException("模型结果异常:" + modelResult);
             }
             modelResult = (HashMap<String, Object>) modelResult.get(CommonConstant.MDK_RESULT);
             //打印结果
-            log.info("预测模型计算完成:modelId=" + modelId + ",modelName" + predictModel.getMethodname());
             JSONObject jsonObjResult = new JSONObject();
             jsonObjResult.put("result", modelResult);
-            log.info(String.valueOf(jsonObjResult));
+            log.info("预测模型计算完成:modelId=" + modelId + ",modelName=" + predictModel.getMethodname() + ",modelResult=" + String.valueOf(jsonObjResult));
 
             List<MmItemOutputEntity> itemOutputList = mmItemOutputService.getByItemid(predictModel.getItemid());
             Map<MmItemOutputEntity, double[]> predictMatrixs = new HashMap<>();
@@ -143,8 +142,11 @@
             result.setPredictDoubleValues(predictDoubleValues);
             result.setModelResult(modelResult);
             result.setPredictTime(predictTime);
+        } catch (ModelResultErrorException ex) {
+            ex.printStackTrace();
+            throw ex;
         } catch (Exception ex) {
-            log.error("调用发生异常,异常信息为:{}", ex);
+//            log.error("调用发生异常,异常信息为:{0}", ex.getMessage());
             ex.printStackTrace();
             throw new ModelInvokeException(ex.getMessage());
         }

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