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 | 51 ++++++++++++++++++++++++++++++++++++---------------
1 files changed, 36 insertions(+), 15 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 9d5359b..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;
@@ -16,12 +19,16 @@
import com.iailab.module.model.mdk.sample.SampleConstructor;
import com.iailab.module.model.mdk.sample.dto.SampleData;
import com.iailab.module.model.mdk.vo.PredictResultVO;
+import com.iailab.module.model.mpk.common.MdkConstant;
import com.iailab.module.model.mpk.common.utils.DllUtils;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
-import java.util.*;
+import java.util.Date;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
/**
* @author PanZhibao
@@ -50,14 +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);
@@ -65,6 +72,11 @@
}
IAILModel newModelBean = composeNewModelBean(predictModel);
HashMap<String, Object> settings = getPredictSettingsByModelId(modelId);
+ // 校验setting必须有pyFile，否则可能导致程序崩溃
+ if (!settings.containsKey(MdkConstant.PY_FILE_KEY)) {
+ throw new RuntimeException("模型设置参数缺少必要信息【" + MdkConstant.PY_FILE_KEY + "】,请重新上传模型！");
+ }
+
if (settings == null) {
log.error("模型setting不存在，modelId=" + modelId);
return null;
@@ -77,29 +89,30 @@
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());
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("模型计算完成：modelId=" + modelId + modelResult);
+// 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<>(itemOutputList.size());
+ Map<MmItemOutputEntity, double[]> predictMatrixs = new HashMap<>();
+ Map<MmItemOutputEntity, Double> predictDoubleValues = new HashMap<>();
for (MmItemOutputEntity output : itemOutputList) {
if (!modelResult.containsKey(output.getResultstr())) {
continue;
@@ -118,15 +131,23 @@
}
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();
+ 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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