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1.设备注册接入优化

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2.波形文件接收、解析功能调整
This commit is contained in:
xuyang
2023-10-13 10:49:43 +08:00
parent 340e7dc75f
commit 6e12027e69
27 changed files with 894 additions and 662 deletions
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214
iot-analysis/analysis-zl-event/zl-event-boot/src/test/java/com/njcn/AppTest.java
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@@ -1,14 +1,64 @@
package com.njcn;
import static org.junit.Assert.assertTrue;
import com.alibaba.fastjson.JSON;
import com.alibaba.nacos.shaded.com.google.gson.Gson;
import com.njcn.csharmonic.api.WavePicFeignClient;
import com.njcn.influx.pojo.constant.InfluxDBTableConstant;
import com.njcn.influx.utils.InfluxDbUtils;
import com.njcn.oss.utils.FileStorageUtil;
import com.njcn.redis.pojo.enums.AppRedisKey;
import com.njcn.redis.utils.RedisUtil;
import com.njcn.user.api.AppUserFeignClient;
import com.njcn.user.api.UserFeignClient;
import com.njcn.user.pojo.po.User;
import com.njcn.zlevent.ZlEventBootApplication;
import com.njcn.zlevent.pojo.constant.ZlConstant;
import com.njcn.zlevent.pojo.dto.FileStreamDto;
import com.njcn.zlevent.pojo.dto.WaveTimeDto;
import org.influxdb.InfluxDB;
import org.influxdb.dto.BatchPoints;
import org.influxdb.dto.Point;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;
import org.springframework.test.context.web.WebAppConfiguration;
import javax.annotation.Resource;
import java.io.*;
import java.nio.file.Files;
import java.nio.file.Path;
import java.sql.Timestamp;
import java.text.SimpleDateFormat;
import java.util.*;
import java.util.concurrent.TimeUnit;
import java.util.stream.IntStream;
import static org.junit.Assert.assertTrue;
/**
* Unit test for simple App.
*/
public class AppTest
{
@RunWith(SpringRunner.class)
@WebAppConfiguration
@SpringBootTest(classes = ZlEventBootApplication.class)
public class AppTest {
@Resource
private RedisUtil redisUtil;
@Resource
private FileStorageUtil fileStorageUtil;
@Resource
private WavePicFeignClient wavePicFeignClient;
@Resource
private AppUserFeignClient appUserFeignClient;
@Resource
private InfluxDbUtils influxDbUtils;
/**
* Rigorous Test :-)
*/
@@ -17,4 +67,160 @@ public class AppTest
{
assertTrue( true );
}
@Test
public void test3() {
List<String> records = new ArrayList<String>();
long timeSec = 1695892557L;
Map<String, String> tags = new HashMap<>();
tags.put(InfluxDBTableConstant.UUID,"000002");
Map<String,Object> fields = new HashMap<>();
fields.put("location","电网侧");
//fixme 这边前置传递的应该是UTC时间,但是前置说是传递的北京时间,讨论了一下没太理解。这边暂时先这样处理,influx入库处理成北京时间,减去8小时。
Point point = influxDbUtils.pointBuilder("zl_test", System.currentTimeMillis(), TimeUnit.MILLISECONDS, tags, fields);
BatchPoints batchPoints = BatchPoints.database(influxDbUtils.getDbName()).retentionPolicy("").consistency(InfluxDB.ConsistencyLevel.ALL).build();
batchPoints.point(point);
records.add(batchPoints.lineProtocol());
influxDbUtils.batchInsert(influxDbUtils.getDbName(), "", InfluxDB.ConsistencyLevel.ALL, TimeUnit.MILLISECONDS, records);
}
@Test
public void test2() throws IOException {
String localPath = "C:\\Users\\徐扬\\Desktop\\123.dat";
FileOutputStream fileOut = new FileOutputStream(localPath,true);
ObjectOutputStream objectOut = new ObjectOutputStream(fileOut);
Map<Integer, String> mapToWrite = new HashMap<>();
mapToWrite.put(1, "value1");
mapToWrite.put(2, "value2");
mapToWrite.put(3, "value3");
Map<Integer, String> mapToWrite2 = new HashMap<>();
mapToWrite2.put(11, "value1");
mapToWrite2.put(22, "value2");
mapToWrite2.put(33, "value3");
objectOut.writeObject(mapToWrite);
objectOut.writeObject(mapToWrite2);
objectOut.close();
fileOut.close();
}
@Test
public void test222() throws IOException {
List<Map<String, Integer>> mapList = new ArrayList<>();
String localPath = "C:\\Users\\徐扬\\Desktop\\123.dat";
ObjectInputStream inputStream = new ObjectInputStream(new FileInputStream(localPath));
while (true) {
try {
Map<String, Integer> loadedMap = (Map<String, Integer>) inputStream.readObject();
mapList.add(loadedMap);
} catch (EOFException | ClassNotFoundException e) {
// 读取到文件末尾时退出循环
break;
}
}
System.out.println("list集合为：" + mapList);
}
@Test
public void test22() {
String filePath = "C:\\Users\\徐扬\\Desktop\\PQS_PQM1_000005_20231007_141638_348.dat";
Map<Integer, String> readMap = new HashMap<>();
try {
BufferedReader reader = new BufferedReader(new FileReader(filePath));
Gson gson = new Gson();
String line;
while ((line = reader.readLine()) != null) {
readMap = gson.fromJson(line, Map.class);
}
// 关闭流
reader.close();
} catch (IOException e) {
e.printStackTrace();
}
System.out.println("从文件读取的Map: " + readMap.size());
}
@Test
public void test4() {
String fileName = "/sd0:1/comtrade/PQS_PQM1_000005_20231007_141638_348.dat";
Object object1 = redisUtil.getObjectByKey(AppRedisKey.FILE_PART.concat(fileName));
FileStreamDto dto = JSON.parseObject(JSON.toJSONString(object1), FileStreamDto.class);
System.out.println("数据个数:" + dto.getList().size());
System.out.println("总个数:" + dto.getTotal());
IntStream.rangeClosed(1, 476)
.filter(i -> !dto.getList().contains(i))
.forEach(missingNumber -> System.out.println("缺失的数字: " + missingNumber));
}
@Test
public void test5() {
String name = "/sd0:1/comtrade/PQS_PQM1_000005_20231007_141638_348.dat";
redisUtil.saveByKeyWithExpire(AppRedisKey.FILE_PART_TIME.concat(name), null, 10L);
}
@Test
public void test() {
long time = 1694598894;
Double millisecond = 60000.0;
long subtleTime = 99000L;
long millisecondValue = millisecond.longValue() * 1000;
long time1 = time * 1000000 + subtleTime;
long time2 = time * 1000000 + subtleTime + millisecondValue;
String time1String = String.valueOf(time1);
String time2String = String.valueOf(time2);
SimpleDateFormat format = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
String time11 = time1String.substring(time1String.length() - 6);
String time111 = time1String.substring(0,time1String.length() - 6);
String formatTime1 = format.format(Long.parseLong(time111) * 1000);
String time22 = time2String.substring(time2String.length() - 6);
String time222 = time2String.substring(0,time2String.length() - 6);
String formatTime2 = format.format(Long.parseLong(time222) * 1000);
WaveTimeDto waveTimeDto = new WaveTimeDto();
waveTimeDto.setStartTime(formatTime1 + "." + time11);
waveTimeDto.setEndTime(formatTime2 + "." + time22);
System.out.println("waveTimeDto===:" + waveTimeDto);
// long endTime;
// //开始时间
// time = (time - 8*3600) * 1000000;
// //结束时间
// long millisecondValue = millisecond.longValue() * 1000;
// endTime = time + subtleTime + millisecondValue;
// System.out.println("endTime==:" + endTime);
// String endTimeString = String.valueOf(endTime);
// String time1 = endTimeString.substring(endTimeString.length() - 6);
// String time2 = endTimeString.substring(0,endTimeString.length() - 6);
// System.out.println("time1==:" + time1);
// System.out.println("time2==:" + time2);
// long longTime2 = Long.parseLong(time2)/1000;
// SimpleDateFormat format = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
// System.out.println("time==:" + time);
// System.out.println("longTime2==:" + longTime2);
// String formatTime1 = format.format(time/1000000);
// String formatTime2 = format.format(longTime2);
// System.out.println("formatTime1==:" + formatTime1);
// System.out.println("formatTime2==:" + formatTime2);
// WaveTimeDto waveTimeDto = new WaveTimeDto();
// waveTimeDto.setStartTime(formatTime1 + "." + subtleTime);
// waveTimeDto.setEndTime(formatTime2 + "." + time1);
// System.out.println("waveTimeDto==:" + waveTimeDto);
}
}