From 8aadcbe920f02806b9fa363b386d3d6c693c5c56 Mon Sep 17 00:00:00 2001
From: dongyukun <1208714201@qq.com>
Date: 星期五, 07 二月 2025 16:49:03 +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 | 23 ++++++++++-------------
1 files changed, 10 insertions(+), 13 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 67ada3b..dd80a49 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
@@ -2,15 +2,13 @@
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
-import com.alibaba.fastjson.JSONObject;
import com.iail.model.IAILModel;
-import com.iailab.module.model.common.enums.CommonConstant;
+import com.iailab.module.model.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;
-import com.iailab.module.model.mcs.pre.enums.ItemRunStatusEnum;
import com.iailab.module.model.mcs.pre.service.MmItemOutputService;
import com.iailab.module.model.mcs.pre.service.MmModelArithSettingsService;
import com.iailab.module.model.mdk.common.enums.TypeA;
@@ -64,7 +62,7 @@
}
String modelId = predictModel.getId();
try {
- List<SampleData> sampleDataList = sampleConstructor.constructSample(TypeA.Predict.name(), modelId, predictTime, itemName);
+ List<SampleData> sampleDataList = sampleConstructor.constructSample(TypeA.Predict.name(), modelId, predictTime, itemName, new HashMap<>());
String modelPath = predictModel.getModelpath();
if (modelPath == null) {
log.info("模型路径不存在，modelId=" + modelId);
@@ -99,19 +97,17 @@
//IAILMDK.run
HashMap<String, Object> modelResult = DllUtils.run(newModelBean, param2Values, predictModel.getMpkprojectid());
+ //打印结果
+ log.info("预测模型计算完成：modelId=" + modelId + ",modelName=" + predictModel.getMethodname() + "，modelResult=" + JSON.toJSONString(modelResult));
+ //判断模型结果
if (!modelResult.containsKey(CommonConstant.MDK_STATUS_CODE) || !modelResult.containsKey(CommonConstant.MDK_RESULT) ||
!modelResult.get(CommonConstant.MDK_STATUS_CODE).toString().equals(CommonConstant.MDK_STATUS_100)) {
throw new ModelResultErrorException("模型结果异常：" + modelResult);
}
modelResult = (HashMap<String, Object>) modelResult.get(CommonConstant.MDK_RESULT);
- //打印结果
- JSONObject jsonObjResult = new JSONObject();
- jsonObjResult.put("result", modelResult);
- 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<>();
- Map<MmItemOutputEntity, Double> predictDoubleValues = new HashMap<>();
for (MmItemOutputEntity output : itemOutputList) {
if (!modelResult.containsKey(output.getResultstr())) {
continue;
@@ -132,22 +128,23 @@
break;
case D:
Double temp3 = (Double) modelResult.get(output.getResultstr());
- predictDoubleValues.put(output, temp3);
+ predictMatrixs.put(output, new double[]{temp3});
break;
default:
break;
}
}
result.setPredictMatrixs(predictMatrixs);
- result.setPredictDoubleValues(predictDoubleValues);
result.setModelResult(modelResult);
result.setPredictTime(predictTime);
} catch (ModelResultErrorException ex) {
- ex.printStackTrace();
+// ex.printStackTrace();
+ log.error("模型结果异常", ex);
throw ex;
} catch (Exception ex) {
// log.error("调用发生异常，异常信息为:{0}", ex.getMessage());
- ex.printStackTrace();
+// ex.printStackTrace();
+ log.error("模型运行异常", ex);
throw new ModelInvokeException(ex.getMessage());
}
return result;
--
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