From 97d38f7b7f7d95fe38cdbb79960106c15454b6ba Mon Sep 17 00:00:00 2001
From: 潘志宝 <979469083@qq.com>
Date: 星期二, 19 十一月 2024 15:23:51 +0800
Subject: [PATCH] 预警信息
---
iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictModelHandlerImpl.java | 75 +++++++++++++++++++++++--------------
1 files changed, 47 insertions(+), 28 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 ef75d02..3bdf3d4 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
@@ -2,13 +2,13 @@
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
-import com.iail.IAILMDK;
import com.iail.model.IAILModel;
+import com.iailab.module.model.common.enums.CommonConstant;
+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.MmModelResultstrEntity;
import com.iailab.module.model.mcs.pre.entity.MmPredictModelEntity;
+import com.iailab.module.model.mcs.pre.service.MmItemOutputService;
import com.iailab.module.model.mcs.pre.service.MmModelArithSettingsService;
-import com.iailab.module.model.mcs.pre.service.MmModelResultstrService;
import com.iailab.module.model.mdk.common.enums.TypeA;
import com.iailab.module.model.mdk.common.exceptions.ModelInvokeException;
import com.iailab.module.model.mdk.predict.PredictModelHandler;
@@ -20,10 +20,7 @@
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
-import java.util.ArrayList;
-import java.util.Date;
-import java.util.HashMap;
-import java.util.List;
+import java.util.*;
/**
* @author PanZhibao
@@ -38,13 +35,21 @@
private MmModelArithSettingsService mmModelArithSettingsService;
@Autowired
- private MmModelResultstrService mmModelResultstrService;
+ private MmItemOutputService mmItemOutputService;
@Autowired
private SampleConstructor sampleConstructor;
+ /**
+ * 根据模型预测,返回预测结果
+ *
+ * @param predictTime
+ * @param predictModel
+ * @return
+ * @throws ModelInvokeException
+ */
@Override
- public PredictResultVO predictByModel(Date predictTime, MmPredictModelEntity predictModel) throws ModelInvokeException {
+ public synchronized PredictResultVO predictByModel(Date predictTime, MmPredictModelEntity predictModel) throws ModelInvokeException {
PredictResultVO result = new PredictResultVO();
if (predictModel == null) {
throw new ModelInvokeException("modelEntity is null");
@@ -67,10 +72,10 @@
int portLength = sampleDataList.size();
Object[] param2Values = new Object[portLength + 2];
for (int i = 0; i < portLength; i++) {
- param2Values[i]=sampleDataList.get(i).getMatrix();
+ param2Values[i] = sampleDataList.get(i).getMatrix();
}
param2Values[portLength] = newModelBean.getDataMap().get("models");
- param2Values[portLength+1] = settings;
+ param2Values[portLength + 1] = settings;
log.info("#######################预测模型 " + predictModel.getItemid() + " ##########################");
JSONObject jsonObjNewModelBean = new JSONObject();
@@ -81,38 +86,52 @@
log.info(String.valueOf(jsonObjParam2Values));
//IAILMDK.run
-// HashMap<String, Object> modelResult = IAILMDK.run(newModelBean, param2Values);
HashMap<String, Object> modelResult = DllUtils.run(newModelBean, param2Values, predictModel.getMpkprojectid());
- if(!modelResult.containsKey("status_code") || !modelResult.containsKey("result") || Integer.parseInt(modelResult.get("status_code").toString()) != 100) {
+ 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);
}
-
- modelResult = (HashMap<String, Object>) modelResult.get("result");
+ modelResult = (HashMap<String, Object>) modelResult.get(CommonConstant.MDK_RESULT);
//打印结果
JSONObject jsonObjResult = new JSONObject();
jsonObjResult.put("result", modelResult);
log.info(String.valueOf(jsonObjResult));
- MmModelResultstrEntity modelResultstr = mmModelResultstrService.getInfo(predictModel.getResultstrid());
- log.info("模型计算完成：modelId=" + modelId + result);
- if (modelResult.containsKey(modelResultstr.getResultstr())) {
- Double[][] temp = (Double[][]) modelResult.get(modelResultstr.getResultstr());
- double[][] temp1 = new double[temp.length][temp[0].length];
- for (int i = 0; i < temp.length; i++) {
- for (int j = 0; j < temp[i].length; j++) {
- temp1[i][j] = temp[i][j].doubleValue();
+ List<MmItemOutputEntity> ItemOutputList = mmItemOutputService.getByItemid(predictModel.getItemid());
+ log.info("模型计算完成：modelId=" + modelId + modelResult);
+
+ Map<MmItemOutputEntity, double[]> predictMatrixs = new HashMap<>(ItemOutputList.size());
+
+ for (MmItemOutputEntity outputEntity : ItemOutputList) {
+ String resultStr = outputEntity.getResultstr();
+ if (modelResult.containsKey(resultStr)) {
+ if (outputEntity.getResultType() == 1) {
+ // 一维数组
+ Double[] temp = (Double[]) modelResult.get(resultStr);
+ double[] temp1 = new double[temp.length];
+ for (int i = 0; i < temp.length; i++) {
+ temp1[i] = temp[i].doubleValue();
+ }
+ predictMatrixs.put(outputEntity, temp1);
+ } else if (outputEntity.getResultType() == 2) {
+ // 二维数组
+ Double[][] temp = (Double[][]) modelResult.get(resultStr);
+ Double[] temp2 = temp[outputEntity.getResultIndex()];
+ double[] temp1 = new double[temp2.length];
+ for (int i = 0; i < temp2.length; i++) {
+ temp1[i] = temp2[i].doubleValue();
+ }
+ predictMatrixs.put(outputEntity, temp1);
}
}
- result.setPredictMatrix(temp1);
}
+ result.setPredictMatrixs(predictMatrixs);
result.setModelResult(modelResult);
result.setPredictTime(predictTime);
} catch (Exception ex) {
- log.error("IAILModel对象构造失败，modelId=" + modelId);
- log.error(ex.getMessage());
- 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:{}", ex);
ex.printStackTrace();
-
+ throw new ModelInvokeException(ex.getMessage());
}
return result;
}
--
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