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feat(test): 添加谐波分析测试功能并重构设备测试类

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- 添加新的BaseJunitTest测试类用于谐波分析功能测试
- 在AppTest中添加压降落点区域判定算法实现
- 重构AppTest类的依赖注入方式，从构造器注入改为字段注入
- 添加多个InfluxDB数据写入测试方法用于设备通信状态记录
- 实现完整的谐波报表生成功能包括Excel导出和数据处理逻辑
- 添加设备单位数据映射和统计方法用于报表展示
- 实现自定义报表模板解析和数据填充功能
- 添加数据库查询优化和并发处理支持
This commit is contained in:
xy
2026-06-30 13:38:43 +08:00
parent d84d91a241
commit 9f5c273180
8 changed files with 1506 additions and 31 deletions
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6
cs-device/cs-device-boot/src/main/resources/bootstrap.yml
View File

@@ -8,7 +8,7 @@ microservice:
gateway:
url: @gateway.url@
server:
port: 10220
port: 20220
#feign接口开启服务熔断降级处理
feign:
sentinel:
@@ -45,8 +45,8 @@ spring:
#项目日志的配置
logging:
# config: http://@nacos.url@/nacos/v1/cs/configs?tenant=@nacos.namespace@&username=@nacos.username@&password=@nacos.password@&group=DEFAULT_GROUP&dataId=logback.xml
config: http://@nacos.url@/nacos/v1/cs/configs?tenant=@nacos.namespace@&group=DEFAULT_GROUP&dataId=logback.xml
config: http://@nacos.url@/nacos/v1/cs/configs?tenant=@nacos.namespace@&username=@nacos.username@&password=@nacos.password@&group=DEFAULT_GROUP&dataId=logback.xml
# config: http://@nacos.url@/nacos/v1/cs/configs?tenant=@nacos.namespace@&group=DEFAULT_GROUP&dataId=logback.xml
level:
root: warn

154
cs-device/cs-device-boot/src/test/java/com/njcn/AppTest.java
View File

@@ -3,12 +3,12 @@ package com.njcn;
import cn.hutool.core.date.DatePattern;
import com.njcn.csdevice.CsDeviceBootApplication;
import com.njcn.csdevice.pojo.dto.PqsCommunicateDto;
import com.njcn.csdevice.pojo.po.CsEquipmentDeliveryPO;
import com.njcn.csdevice.service.*;
import com.njcn.influx.pojo.po.PqsCommunicate;
import com.njcn.influx.query.InfluxQueryWrapper;
import com.njcn.csdevice.service.DeviceFtpService;
import com.njcn.csdevice.service.ICsCommunicateService;
import com.njcn.csdevice.service.IRStatIntegrityDService;
import com.njcn.csdevice.service.IRStatOnlineRateDService;
import com.njcn.influx.utils.InfluxDbUtils;
import lombok.AllArgsConstructor;
import lombok.NoArgsConstructor;
import lombok.SneakyThrows;
import lombok.extern.slf4j.Slf4j;
import org.influxdb.InfluxDB;
@@ -20,12 +20,15 @@ import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;
import org.springframework.test.context.web.WebAppConfiguration;
import org.springframework.util.CollectionUtils;
import java.math.BigDecimal;
import java.math.RoundingMode;
import java.time.LocalDateTime;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
import java.util.*;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.TimeUnit;
import static org.junit.Assert.assertTrue;
@@ -37,7 +40,7 @@ import static org.junit.Assert.assertTrue;
@WebAppConfiguration
@SpringBootTest(classes = CsDeviceBootApplication.class)
@Slf4j
@AllArgsConstructor
@NoArgsConstructor
public class AppTest{
@Autowired
@@ -46,9 +49,69 @@ public class AppTest{
@Autowired
private ICsCommunicateService csCommunicateService;
private final IRStatIntegrityDService statIntegrityDService;
private final IRStatOnlineRateDService statOnlineRateDService;
@Autowired
private IRStatIntegrityDService statIntegrityDService;
@Autowired
private IRStatOnlineRateDService statOnlineRateDService;
public static void main(String[] args) {
String eventValue = "122.5493";
String persistTime = "0.2410";
String data = determineDropZone(eventValue, persistTime);
System.out.println("data==:" + data);
}
public static String determineDropZone(String eventValue, String persistTime) {
if (eventValue != null && !eventValue.trim().isEmpty() && persistTime != null && !persistTime.trim().isEmpty()) {
BigDecimal vvm;
BigDecimal vvtm;
try {
vvm = (new BigDecimal(eventValue.trim())).divide(new BigDecimal("100"), 6, RoundingMode.HALF_UP);
vvtm = new BigDecimal(persistTime.trim());
} catch (Exception var6) {
Exception e = var6;
log.error("判定压降落点区域入参解析失败，eventValue={}, persistTime={}", new Object[]{eventValue, persistTime, e});
return null;
}
if (vvtm.compareTo(new BigDecimal("0.001")) >= 0 && vvm.compareTo(BigDecimal.ZERO) != 0) {
if (inRange(vvm, "0.9", "1") && inRange(vvtm, "0.001", "60")) {
return "A区";
} else if (inRange(vvm, "0", "0.9") && inRange(vvtm, "0.001", "0.05")) {
return "A区";
} else if (inRange(vvm, "0.5", "0.7") && inRange(vvtm, "0.05", "0.2")) {
return "B区";
} else if (inRange(vvm, "0.7", "0.8") && inRange(vvtm, "0.05", "0.5")) {
return "B区";
} else if (inRange(vvm, "0.8", "0.9") && inRange(vvtm, "0.05", "60")) {
return "B区";
} else if (inRange(vvm, "0", "0.5") && inRange(vvtm, "0.05", "1")) {
return "C区";
} else if (inRange(vvm, "0.5", "0.7") && inRange(vvtm, "0.2", "1")) {
return "C区";
} else if (inRange(vvm, "0.7", "0.8") && inRange(vvtm, "0.5", "1")) {
return "C区";
} else if (inRange(vvm, "0", "0.8") && inRange(vvtm, "1", "60")) {
return "D区";
} else {
log.warn("压降落点区域未匹配任何规则，eventValue={}, persistTime={}", eventValue, persistTime);
return null;
}
} else {
return "A区";
}
} else {
log.warn("判定压降落点区域入参为空，eventValue={}, persistTime={}", eventValue, persistTime);
return null;
}
}
private static boolean inRange(BigDecimal value, String lowerInclusive, String upperExclusive) {
return value.compareTo(new BigDecimal(lowerInclusive)) >= 0
&& value.compareTo(new BigDecimal(upperExclusive)) < 0;
}
/**
* Rigorous Test :-)
@@ -59,7 +122,6 @@ public class AppTest{
assertTrue( true );
}
/**
* 测试下载文件
*/
@@ -95,18 +157,76 @@ public class AppTest{
}
public static void main(String[] args) {
InfluxDbUtils influxDbUtils = new InfluxDbUtils("admin", "123456", "http://192.168.1.24:8086", "pqsbase_zl", "");
public static void test2() {
InfluxDbUtils influxDbUtils = new InfluxDbUtils("admin", "123456", "http://192.168.1.103:18086", "pqsbase", "");
Map<String, String> tags = new HashMap<>();
tags.put("dev_id","da7aa071bf89864bedea8833133676b7");
tags.put("dev_id","0eb0262f706445ac9c69931a60357561");
Map<String,Object> fields = new HashMap<>();
fields.put("type",1);
fields.put("description","通讯正常");
long time = LocalDateTime.parse("2025-08-02 18:00:00", DateTimeFormatter.ofPattern(DatePattern.NORM_DATETIME_PATTERN)).atZone(ZoneId.systemDefault()).toInstant().toEpochMilli();
// fields.put("type",1);
// fields.put("description","通讯正常");
fields.put("type",0);
fields.put("description","通讯中断");
long time = LocalDateTime.parse("2024-01-06 06:00:00", DateTimeFormatter.ofPattern(DatePattern.NORM_DATETIME_PATTERN)).atZone(ZoneId.systemDefault()).toInstant().toEpochMilli();
Point point = influxDbUtils.pointBuilder("pqs_communicate", time, TimeUnit.MILLISECONDS, tags, fields);
BatchPoints batchPoints = BatchPoints.database(influxDbUtils.getDbName()).retentionPolicy("").consistency(InfluxDB.ConsistencyLevel.ALL).build();
batchPoints.point(point);
influxDbUtils.batchInsert(influxDbUtils.getDbName(), "", InfluxDB.ConsistencyLevel.ALL, TimeUnit.MILLISECONDS, Collections.singletonList(batchPoints.lineProtocol()));
}
public static void test22() {
InfluxDbUtils influxDbUtils = new InfluxDbUtils("admin", "123456", "http://192.168.1.103:18086", "pqsbase", "");
Map<String, String> tags = new HashMap<>();
tags.put("dev_id","0eb0262f706445ac9c69931a60357561");
Map<String,Object> fields = new HashMap<>();
fields.put("type",1);
fields.put("description","通讯正常");
// fields.put("type",0);
// fields.put("description","通讯中断");
long time = LocalDateTime.parse("2024-01-06 12:00:00", DateTimeFormatter.ofPattern(DatePattern.NORM_DATETIME_PATTERN)).atZone(ZoneId.systemDefault()).toInstant().toEpochMilli();
Point point = influxDbUtils.pointBuilder("pqs_communicate", time, TimeUnit.MILLISECONDS, tags, fields);
BatchPoints batchPoints = BatchPoints.database(influxDbUtils.getDbName()).retentionPolicy("").consistency(InfluxDB.ConsistencyLevel.ALL).build();
batchPoints.point(point);
influxDbUtils.batchInsert(influxDbUtils.getDbName(), "", InfluxDB.ConsistencyLevel.ALL, TimeUnit.MILLISECONDS, Collections.singletonList(batchPoints.lineProtocol()));
}
public static void test3() {
InfluxDbUtils influxDbUtils = new InfluxDbUtils("admin", "123456", "http://192.168.1.103:18086", "pqsbase", "");
Map<String, String> tags = new HashMap<>();
tags.put("dev_id","0eb0262f706445ac9c69931a60357561");
Map<String,Object> fields = new HashMap<>();
fields.put("type",0);
fields.put("description","通讯中断");
// fields.put("type",1);
// fields.put("description","通讯正常");
long time = LocalDateTime.parse("2024-01-06 18:00:00", DateTimeFormatter.ofPattern(DatePattern.NORM_DATETIME_PATTERN)).atZone(ZoneId.systemDefault()).toInstant().toEpochMilli();
Point point = influxDbUtils.pointBuilder("pqs_communicate", time, TimeUnit.MILLISECONDS, tags, fields);
BatchPoints batchPoints = BatchPoints.database(influxDbUtils.getDbName()).retentionPolicy("").consistency(InfluxDB.ConsistencyLevel.ALL).build();
batchPoints.point(point);
influxDbUtils.batchInsert(influxDbUtils.getDbName(), "", InfluxDB.ConsistencyLevel.ALL, TimeUnit.MILLISECONDS, Collections.singletonList(batchPoints.lineProtocol()));
}
public static void test33() {
InfluxDbUtils influxDbUtils = new InfluxDbUtils("admin", "123456", "http://192.168.1.103:18086", "pqsbase", "");
Map<String, String> tags = new HashMap<>();
tags.put("dev_id","0eb0262f706445ac9c69931a60357561");
Map<String,Object> fields = new HashMap<>();
// fields.put("type",0);
// fields.put("description","通讯中断");
fields.put("type",1);
fields.put("description","通讯正常");
long time = LocalDateTime.parse("2024-01-06 22:00:00", DateTimeFormatter.ofPattern(DatePattern.NORM_DATETIME_PATTERN)).atZone(ZoneId.systemDefault()).toInstant().toEpochMilli();
Point point = influxDbUtils.pointBuilder("pqs_communicate", time, TimeUnit.MILLISECONDS, tags, fields);
BatchPoints batchPoints = BatchPoints.database(influxDbUtils.getDbName()).retentionPolicy("").consistency(InfluxDB.ConsistencyLevel.ALL).build();
batchPoints.point(point);
influxDbUtils.batchInsert(influxDbUtils.getDbName(), "", InfluxDB.ConsistencyLevel.ALL, TimeUnit.MILLISECONDS, Collections.singletonList(batchPoints.lineProtocol()));
}
}