From b3674cefbeb8ffaf49f96d0c8fe7a6694ed86eec Mon Sep 17 00:00:00 2001
From: 潘志宝 <979469083@qq.com>
Date: 星期二, 25 二月 2025 15:05:32 +0800
Subject: [PATCH] 模拟调整 远程调用
---
iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictModelHandlerImpl.java | 22 ++++++++++------------
1 files changed, 10 insertions(+), 12 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 466ee10..7e0ac4b 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
@@ -3,6 +3,7 @@
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.iail.model.IAILModel;
+import com.iailab.module.model.mdk.vo.StAdjustDeviationDTO;
import com.iailab.module.model.enums.CommonConstant;
import com.iailab.module.model.common.enums.OutResultType;
import com.iailab.module.model.common.exception.ModelResultErrorException;
@@ -55,7 +56,7 @@
* @throws ModelInvokeException
*/
@Override
- public synchronized PredictResultVO predictByModel(Date predictTime, MmPredictModelEntity predictModel,String itemName,String itemNo) throws ModelInvokeException {
+ public 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");
@@ -72,7 +73,7 @@
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！");
+ 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) {
@@ -87,12 +88,7 @@
param2Values[portLength] = newModelBean.getDataMap().get("models");
param2Values[portLength + 1] = settings;
- 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("####################### 预测模型 " + "【itemId:" + predictModel.getItemid() + ",itemName：" + itemName + ",itemNo：" + itemNo + "】 ##########################");
log.info("参数： " + JSON.toJSONString(param2Values));
//IAILMDK.run
@@ -157,18 +153,19 @@
* @param predictModel
* @param itemName
* @param itemNo
+ * @param deviationList
* @return
* @throws ModelInvokeException
*/
@Override
- public synchronized PredictResultVO predictByModel(Date predictTime, MmPredictModelEntity predictModel,String itemName,String itemNo, double[][] deviation) throws ModelInvokeException {
+ public PredictResultVO predictByModel(Date predictTime, MmPredictModelEntity predictModel, String itemName, String itemNo, List<StAdjustDeviationDTO> deviationList) 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, itemName, new HashMap<>());
+ List<SampleData> sampleDataList = sampleConstructor.constructSample(TypeA.Predict.name(), modelId, predictTime, itemName, new HashMap<>(), deviationList);
String modelPath = predictModel.getModelpath();
if (modelPath == null) {
log.info("模型路径不存在，modelId=" + modelId);
@@ -178,7 +175,7 @@
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！");
+ 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) {
@@ -193,7 +190,7 @@
param2Values[portLength] = newModelBean.getDataMap().get("models");
param2Values[portLength + 1] = settings;
- log.info("####################### 模拟调整 "+ "【itemId:" + predictModel.getItemid() + ",itemName：" + itemName + ",itemNo：" + itemNo + "】 ##########################");
+ log.info("####################### 模拟调整 " + "【itemId:" + predictModel.getItemid() + ",itemName：" + itemName + ",itemNo：" + itemNo + "】 ##########################");
log.info("参数： " + JSON.toJSONString(param2Values));
//IAILMDK.run
@@ -247,6 +244,7 @@
}
return result;
}
+
/**
* 构造IAILMDK.run()方法的newModelBean参数
*
--
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