From efdc380e66bbc3112eb87d7522f0a37d082082e1 Mon Sep 17 00:00:00 2001
From: dengzedong <dengzedong@email>
Date: 星期四, 26 十二月 2024 09:42:07 +0800
Subject: [PATCH] double类型特殊处理 异常处理
---
iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictModelHandlerImpl.java | 48 ++++++++++++++++++++++++++++++------------------
1 files changed, 30 insertions(+), 18 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 e8a9142..6d1ebbd 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
@@ -1,13 +1,16 @@
package com.iailab.module.model.mdk.predict.impl;
+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.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;
@@ -54,14 +57,14 @@
* @throws ModelInvokeException
*/
@Override
- public synchronized PredictResultVO predictByModel(Date predictTime, MmPredictModelEntity predictModel) 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);
@@ -86,29 +89,28 @@
param2Values[portLength] = newModelBean.getDataMap().get("models");
param2Values[portLength + 1] = settings;
- log.info("#######################预测模型 " + predictModel.getItemid() + " ##########################");
- JSONObject jsonObjNewModelBean = new JSONObject();
- jsonObjNewModelBean.put("newModelBean", newModelBean);
- log.info(String.valueOf(jsonObjNewModelBean));
- JSONObject jsonObjParam2Values = new JSONObject();
- jsonObjParam2Values.put("param2Values", param2Values);
- log.info(String.valueOf(jsonObjParam2Values));
+ 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));
+// JSONObject jsonObjParam2Values = new JSONObject();
+// jsonObjParam2Values.put("param2Values", param2Values);
+ log.info("参数： " + JSON.toJSONString(param2Values));
//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 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 + modelResult);
- JSONObject jsonObjResult = new JSONObject();
- jsonObjResult.put("result", modelResult);
- log.info(String.valueOf(jsonObjResult));
List<MmItemOutputEntity> itemOutputList = mmItemOutputService.getByItemid(predictModel.getItemid());
- Map<MmItemOutputEntity, double[]> predictMatrixs = new HashMap<>(itemOutputList.size());
+ Map<MmItemOutputEntity, double[]> predictMatrixs = new HashMap<>();
+ Map<MmItemOutputEntity, Double> predictDoubleValues = new HashMap<>();
for (MmItemOutputEntity output : itemOutputList) {
if (!modelResult.containsKey(output.getResultstr())) {
continue;
@@ -127,16 +129,26 @@
}
predictMatrixs.put(output, tempColumn);
break;
+ case D:
+ Double temp3 = (Double) modelResult.get(output.getResultstr());
+ predictDoubleValues.put(output, temp3);
+ break;
default:
break;
}
}
result.setPredictMatrixs(predictMatrixs);
+ result.setPredictDoubleValues(predictDoubleValues);
result.setModelResult(modelResult);
result.setPredictTime(predictTime);
+ } catch (ModelResultErrorException ex) {
+// 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:{}", ex);
- ex.printStackTrace();
+// log.error("调用发生异常，异常信息为:{0}", ex.getMessage());
+// ex.printStackTrace();
+ log.error("模型运行异常", ex);
throw new ModelInvokeException(ex.getMessage());
}
return result;
--
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