From 6c2ff1c7c8e0aba3af92110b76687b78f8278e86 Mon Sep 17 00:00:00 2001
From: 潘志宝 <979469083@qq.com>
Date: 星期五, 03 一月 2025 09:57:37 +0800
Subject: [PATCH] 动态数据长度
---
iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/MdkApiImpl.java | 158 ++++++++++++++++++++++++++++++++++++++++++----------
1 files changed, 126 insertions(+), 32 deletions(-)
diff --git a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/MdkApiImpl.java b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/MdkApiImpl.java
index ddb8638..69e416a 100644
--- a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/MdkApiImpl.java
+++ b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/MdkApiImpl.java
@@ -1,15 +1,20 @@
package com.iailab.module.model.api;
import com.alibaba.fastjson.JSON;
-import com.iailab.framework.common.util.object.ConvertUtils;
+import com.iailab.module.data.api.point.DataPointApi;
+import com.iailab.module.data.api.point.dto.ApiPointValueWriteDTO;
+import com.iailab.module.model.api.mcs.dto.StScheduleModelOutDTO;
import com.iailab.module.model.api.mdk.MdkApi;
import com.iailab.module.model.api.mdk.dto.*;
+import com.iailab.module.model.common.enums.IsWriteEnum;
+import com.iailab.module.model.common.enums.ModelOutResultType;
+import com.iailab.module.model.common.enums.OutResultType;
import com.iailab.module.model.mcs.pre.entity.DmModuleEntity;
import com.iailab.module.model.mcs.pre.service.DmModuleService;
import com.iailab.module.model.mcs.pre.service.MmPredictItemService;
-import com.iailab.module.model.mdk.factory.ItemEntityFactory;
-import com.iailab.module.model.mdk.factory.PredictItemFactory;
-import com.iailab.module.model.mdk.predict.PredictItemHandler;
+import com.iailab.module.model.mcs.sche.service.StScheduleModelOutService;
+import com.iailab.module.model.mcs.sche.service.StScheduleRecordService;
+import com.iailab.module.model.mcs.sche.service.StScheduleSchemeService;
import com.iailab.module.model.mdk.predict.PredictModuleHandler;
import com.iailab.module.model.mdk.predict.PredictResultHandler;
import com.iailab.module.model.mdk.schedule.ScheduleModelHandler;
@@ -26,8 +31,7 @@
import java.util.*;
import java.util.stream.Collectors;
-import static com.iailab.framework.common.pojo.CommonResult.error;
-import static com.iailab.framework.common.pojo.CommonResult.success;
+import static com.iailab.module.model.common.enums.ModelOutResultType.D;
/**
* @author PanZhibao
@@ -49,16 +53,22 @@
private PredictModuleHandler predictModuleHandler;
@Autowired
- private ItemEntityFactory itemEntityFactory;
-
- @Autowired
- private PredictItemFactory predictItemFactory;
-
- @Autowired
private PredictResultHandler predictResultHandler;
@Autowired
private ScheduleModelHandler scheduleModelHandler;
+
+ @Autowired
+ private StScheduleRecordService stScheduleRecordService;
+
+ @Autowired
+ private StScheduleSchemeService stScheduleSchemeService;
+
+ @Autowired
+ private StScheduleModelOutService stScheduleModelOutService;
+
+ @Autowired
+ private DataPointApi dataPointApi;
/**
* 按模块预测
@@ -97,7 +107,16 @@
intervalTime = (int) (reqDTO.getPredictTime().getTime() - module.getPredicttime().getTime()) / (1000 * 60);
}
List<ItemVO> predictItemList = mmPredictItemService.getByModuleId(module.getId());
- Map<String, PredictResultVO> predictResultMap = predictModuleHandler.predict(predictItemList, reqDTO.getPredictTime(), intervalTime);
+ Map<String, PredictResultVO> predictResultMap = new HashMap<>(predictItemList.size());
+ // 分组，先运行normal预测项，再将结果传递给merge预测项
+ List<ItemVO> normalItems = predictItemList.stream().filter(e -> e.getItemType().equals("NormalItem")).collect(Collectors.toList());
+ if (!CollectionUtils.isEmpty(normalItems)) {
+ predictModuleHandler.predict(normalItems, reqDTO.getPredictTime(), intervalTime, predictResultMap);
+ List<ItemVO> mergeItems = predictItemList.stream().filter(e -> e.getItemType().equals("MergeItem")).collect(Collectors.toList());
+ if (!CollectionUtils.isEmpty(mergeItems)) {
+ predictModuleHandler.predict(mergeItems, reqDTO.getPredictTime(), intervalTime, predictResultMap);
+ }
+ }
// 更新Module时间
dmModuleService.updatePredictTime(module.getId(), reqDTO.getPredictTime());
if (reqDTO.getIsResult() == null || !reqDTO.getIsResult()) {
@@ -141,27 +160,31 @@
@Override
public MdkPredictItemRespDTO predictItem(MdkPredictReqDTO reqDTO) {
MdkPredictItemRespDTO resp = new MdkPredictItemRespDTO();
-
try {
- log.info("预测计算开始: " + System.currentTimeMillis());
- Map<String, List<MdkPredictDataDTO>> predictData = new HashMap<>();
- ItemVO predictItem = itemEntityFactory.getItemByItemNo(reqDTO.getItemNo());
- PredictItemHandler predictItemHandler = predictItemFactory.create(predictItem.getId());
- PredictResultVO predictResult = predictItemHandler.predict(reqDTO.getPredictTime(), predictItem);
- Map<String, List<DataValueVO>> resultMap = predictResultHandler.convertToPredictData(predictResult);
- if (!CollectionUtils.isEmpty(resultMap)) {
- for (Map.Entry<String, List<DataValueVO>> entry : resultMap.entrySet()) {
- List<MdkPredictDataDTO> data = ConvertUtils.sourceToTarget(entry.getValue(), MdkPredictDataDTO.class);
- predictData.put(entry.getKey(), data);
- }
+
+ ItemVO itemByItemNo = mmPredictItemService.getItemByItemNo(reqDTO.getItemNo());
+ List<ItemVO> predictItemList = new ArrayList<>();
+ predictItemList.add(itemByItemNo);
+ Map<String, PredictResultVO> predictResultMap = new HashMap<>(predictItemList.size());
+ predictModuleHandler.predict(predictItemList, reqDTO.getPredictTime(), 0, predictResultMap);
+
+ Map<String, List<MdkPredictDataDTO>> itemPredictData = new HashMap<>();
+
+ Map<String, List<DataValueVO>> predictLists = predictResultHandler.convertToPredictData2(predictResultMap.get(reqDTO.getItemNo()));
+ for (Map.Entry<String, List<DataValueVO>> dataListEntry : predictLists.entrySet()) {
+ List<MdkPredictDataDTO> predictData = dataListEntry.getValue().stream().map(t -> {
+ MdkPredictDataDTO dto1 = new MdkPredictDataDTO();
+ dto1.setDataTime(t.getDataTime());
+ dto1.setDataValue(t.getDataValue());
+ return dto1;
+ }).collect(Collectors.toList());
+ itemPredictData.put(dataListEntry.getKey(), predictData);
}
- resp.setPredictData(predictData);
- resp.setItemId(predictItem.getId());
+ resp.setItemId(reqDTO.getItemNo());
resp.setPredictTime(reqDTO.getPredictTime());
- log.info("预测计算结束: " + System.currentTimeMillis());
- } catch (Exception ex) {
- log.info("预测计算异常: " + System.currentTimeMillis(), ex);
- return resp;
+ resp.setPredictData(itemPredictData);
+ } catch (Exception e) {
+ throw new RuntimeException(e);
}
return resp;
@@ -193,8 +216,11 @@
resp.setScheduleTime(reqDTO.getScheduleTime());
try {
log.info("调度计算开始: " + System.currentTimeMillis());
- ScheduleResultVO scheduleResult = scheduleModelHandler.doSchedule(reqDTO.getModelCode(), reqDTO.getScheduleTime());
+ ScheduleResultVO scheduleResult = scheduleModelHandler.doSchedule(reqDTO.getScheduleCode(), reqDTO.getScheduleTime(), reqDTO.getDynamicDataLength());
+ resp.setStatusCode(scheduleResult.getResultCode());
resp.setResult(scheduleResult.getResult());
+ stScheduleRecordService.create(scheduleResult);
+ stScheduleSchemeService.updateTime(scheduleResult.getSchemeId(), scheduleResult.getScheduleTime(), scheduleResult.getResultCode());
log.info("预测计算结束: " + System.currentTimeMillis());
} catch (Exception ex) {
log.info("调度计算异常: " + System.currentTimeMillis());
@@ -203,4 +229,72 @@
}
return resp;
}
+
+ @Override
+ public Boolean scheduleModelOut(MdkScheduleRespDTO dto) {
+ String modelId = stScheduleSchemeService.getByCode(dto.getScheduleCode()).getModelId();
+ Map<String, Object> result = dto.getResult();
+ List<StScheduleModelOutDTO> list = stScheduleModelOutService.list(modelId);
+ try {
+ for (StScheduleModelOutDTO stScheduleModelOutDTO : list) {
+ double value = 0;
+ //判断点位是否下发
+ if (stScheduleModelOutDTO.getIsWrite().equals(IsWriteEnum.NOTWRITE.value())) {
+ continue;
+ }
+ //返回结果是否存在
+ if (result.get(stScheduleModelOutDTO.getResultKey()) == null) {
+ log.error(result.get(stScheduleModelOutDTO.getResultKey()) + "resultKey匹配失败");
+ continue;
+ }
+ Object resultValue = result.get(stScheduleModelOutDTO.getResultKey());
+ //判断解析方式
+ ModelOutResultType modelOutResultType = ModelOutResultType.getEumByCode(stScheduleModelOutDTO.getResultType());
+ switch (modelOutResultType) {
+ case D:
+ value = (Double) resultValue;
+ break;
+ case D1:
+ ArrayList<Double> doubleList = (ArrayList<Double>) resultValue;
+ double[] array1 = new double[doubleList.size()];
+ for (int i = 0; i < doubleList.size(); i++) {
+ array1[i] = doubleList.get(i);
+ }
+ if (stScheduleModelOutDTO.getResultPort() < array1.length) {
+ value = array1[stScheduleModelOutDTO.getResultPort()];
+ } else {
+ log.error(result.get(stScheduleModelOutDTO.getResultKey()) + "下角标超限");
+ }
+ break;
+ case D2:
+ ArrayList<ArrayList<Double>> doubleListList = (ArrayList<ArrayList<Double>>) resultValue;
+ double[][] array2 = new double[doubleListList.size()][];
+ for (int i = 0; i < doubleListList.size(); i++) {
+ ArrayList<Double> doubleList2 = doubleListList.get(i);
+ array2[i] = new double[doubleList2.size()];
+ for (int j = 0; j < doubleList2.size(); j++) {
+ array2[i][j] = doubleList2.get(j);
+ }
+ }
+ if (stScheduleModelOutDTO.getResultPort() < array2.length && stScheduleModelOutDTO.getResultIndex() < array2[stScheduleModelOutDTO.getResultPort()].length) {
+ value = array2[stScheduleModelOutDTO.getResultPort()][stScheduleModelOutDTO.getResultIndex()];
+ } else {
+ log.error(result.get(stScheduleModelOutDTO.getResultKey()) + "下标超限");
+ }
+ break;
+ }
+ //下发到point点位
+ ApiPointValueWriteDTO ApiPointValueWriteDTO = new ApiPointValueWriteDTO();
+ ApiPointValueWriteDTO.setPointNo(stScheduleModelOutDTO.getPointNo());
+ ApiPointValueWriteDTO.setValue(value);
+ if (!dataPointApi.writePointRealValue(ApiPointValueWriteDTO)) {
+ log.error(result.get(stScheduleModelOutDTO.getResultKey()) + "下发数据异常");
+ }
+ }
+ } catch (Exception ex) {
+ log.error("下发数据异常");
+ ex.printStackTrace();
+ }
+ return true;
+ }
}
\ No newline at end of file
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