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 | 18 +++++++++---------
1 files changed, 9 insertions(+), 9 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 c66d887..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
@@ -57,7 +57,7 @@
* @throws ModelInvokeException
*/
@Override
- public synchronized PredictResultVO predictByModel(Date predictTime, MmPredictModelEntity predictModel,String itemName) 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");
@@ -89,7 +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));
@@ -99,16 +99,14 @@
//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
- 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));
List<MmItemOutputEntity> itemOutputList = mmItemOutputService.getByItemid(predictModel.getItemid());
Map<MmItemOutputEntity, double[]> predictMatrixs = new HashMap<>();
@@ -144,11 +142,13 @@
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:{1}", ex);
+// 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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