From 28c2db9d5ede90b0670446344084eb6169b6c65e Mon Sep 17 00:00:00 2001
From: dengzedong <dengzedong@email>
Date: 星期二, 24 十二月 2024 14:08:50 +0800
Subject: [PATCH] 日志
---
iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictModelHandlerImpl.java | 22 ++++++++++++++--------
1 files changed, 14 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 a15f603..8603b8f 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);
@@ -86,26 +89,26 @@
param2Values[portLength] = newModelBean.getDataMap().get("models");
param2Values[portLength + 1] = settings;
- log.info("####################### 预测模型 "+ "【itemId:" + predictModel.getItemid() + ",modelName" + predictModel.getMethodname() + "】 ##########################");
+ 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(String.valueOf(jsonObjParam2Values));
+ log.info("参数： " + JSON.toJSONString(param2Values));
//IAILMDK.run
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)) {
- 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());
+// 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<>();
@@ -140,8 +143,11 @@
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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