From a440ec3bfaa1363f5841100b8948d852971a2eb1 Mon Sep 17 00:00:00 2001
From: 潘志宝 <979469083@qq.com>
Date: 星期二, 10 十二月 2024 13:19:58 +0800
Subject: [PATCH] MmPredictAlarmConfigService
---
iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mcs/pre/service/impl/MmItemResultServiceImpl.java | 90 +++++++++++++-------------------------------
1 files changed, 27 insertions(+), 63 deletions(-)
diff --git a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mcs/pre/service/impl/MmItemResultServiceImpl.java b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mcs/pre/service/impl/MmItemResultServiceImpl.java
index b69168a..99455b0 100644
--- a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mcs/pre/service/impl/MmItemResultServiceImpl.java
+++ b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mcs/pre/service/impl/MmItemResultServiceImpl.java
@@ -3,6 +3,7 @@
import com.alibaba.fastjson.JSONArray;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
+import com.iailab.framework.common.util.date.DateUtils;
import com.iailab.module.model.mcs.pre.dao.MmItemResultDao;
import com.iailab.module.model.mcs.pre.entity.MmItemResultEntity;
import com.iailab.module.model.mcs.pre.entity.MmItemResultJsonEntity;
@@ -31,32 +32,6 @@
@Autowired
private MmItemResultDao mmItemResultDao;
-
- @Override
- public List<MmItemResultEntity> getListByOutputId(String outputid, Map<String, Object> params) {
-
- SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
- Date startDateParam = null;
- try {
- startDateParam = sdf.parse((String)params.get("startTime"));
- } catch (ParseException e) {
- e.printStackTrace();
- }
- Date endDateParam = null;
- try {
- endDateParam = sdf.parse((String)params.get("endTime"));
- } catch (ParseException e) {
- e.printStackTrace();
- }
-
- List<MmItemResultEntity> list = mmItemResultDao.selectList(
- new QueryWrapper<MmItemResultEntity>()
- .eq("outputid", outputid)
- .between("datatime", startDateParam, endDateParam)
- .orderByAsc("datatime")
- );
- return list;
- }
@Override
public void savePredictValue(Map<String, List<DataValueVO>> predictValueMap, int t, String nIndex, Date predictTime) {
@@ -75,9 +50,9 @@
List<DataValueVO> lastVoList = new ArrayList<>();
int size = entry.getValue().size();
- t = t > 0 ? t : 0;
+ t = Math.max(t, 0);
int n = "n".equals(nIndex) ? size : Integer.parseInt(nIndex);
- int length = (n - t) > 0 ? (n - t) : 0; //预测完不变的数据长度
+ int length = Math.max((n - t), 0); //预测完不变的数据长度
if (size >= n) {
for (int i = 0; i < (size - length); i ++) {
int index = length + i;
@@ -100,7 +75,10 @@
resultJson.setId(UUID.randomUUID().toString());
resultJson.setOutputid(entry.getKey());
resultJson.setPredicttime(predictTime);
- resultJson.setJsonvalue(JSONArray.toJSONString(entry.getValue()));
+ List<Double> jsonValueList = entry.getValue().stream().map(valueVO -> {
+ return valueVO.getDataValue();
+ }).collect(Collectors.toList());
+ resultJson.setJsonvalue(JSONArray.toJSONString(jsonValueList));
Map<String, Object> map4 = new HashMap(2);
map4.put("TABLENAME", "T_MM_ITEM_RESULT_JSON");
map4.put("entity", resultJson);
@@ -112,41 +90,7 @@
params.put("STARTTIME", importList.get(0).getDatatime());
params.put("ENDTIME", importList.get(importList.size() - 1).getDatatime());
mmItemResultDao.deletePredictValue(params);
-
-
}
-
-// Map<String, Object> params = new HashMap(4);
-// params.put("TABLENAME", T_MM_ITEM_RESULT);
-// params.put("OUTPUTID", importList.get(0).getOutputid());
-// params.put("STARTTIME", importList.get(0).getDatatime());
-// params.put("ENDTIME", importList.get(importList.size() - 1).getDatatime());
-// mmItemResultDao.deletePredictValue(params);
-
-// int num1 = importList.size() / max_group_count;
-// int num2 = importList.size() % max_group_count;
-// if (num2 != 0) {
-// num1++;
-// }
-//
-// List<MmItemResultEntity> tempList;
-// //先删除已经存在的数据，再插入新数据
-// for (int i = 0; i < num1; i++) {
-// int startIndex = max_group_count * i;
-// int count = max_group_count;
-// if (num2!=0 && i == num1 - 1) {
-// count = num2;
-// }
-// tempList = new ArrayList<>();
-// //获取某个索引范围内的对象集合
-// for (int j = startIndex; j < startIndex + count; j++) {
-// tempList.add(importList.get(j));
-// }
-// Map<String, Object> map2 = new HashMap<>(2);
-// map2.put("TABLENAME", T_MM_ITEM_RESULT);
-// map2.put("list", tempList);
-// mmItemResultDao.savePredictValue(map2);
-// }
mmItemResultDao.insertBatch(importList,max_group_count);
Map<String, Object> map3 = new HashMap<>(2);
@@ -174,4 +118,24 @@
}).collect(Collectors.toList());
return result;
}
+
+ @Override
+ public List<Object[]> getData(String outputid, Date startTime, Date endTime, String timeFormat) {
+ List<Object[]> result = new ArrayList<>();
+ QueryWrapper<MmItemResultEntity> queryWrapper = new QueryWrapper<MmItemResultEntity>()
+ .eq("outputid", outputid)
+ .between("datatime", startTime, endTime)
+ .orderByAsc("datatime");
+ List<MmItemResultEntity> list = mmItemResultDao.selectList(queryWrapper);
+ if (CollectionUtils.isEmpty(list)) {
+ return result;
+ }
+ list.forEach(item -> {
+ Object[] dataItem = new Object[2];
+ dataItem[0] = DateUtils.format(item.getDatatime(), timeFormat);
+ dataItem[1] = item.getDatavalue().setScale(2, BigDecimal.ROUND_HALF_UP);
+ result.add(dataItem);
+ });
+ return result;
+ }
}
--
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