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修改bug

server_five
lijiayao 2024-04-09 17:07:26 +08:00
parent 3fc01c4102
commit bc8558576f
10 changed files with 54 additions and 79 deletions
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3
couplet-common/couplet-common-business/src/main/java/com/couplet/common/domain/request/RealTimeDataRequest.java
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@ -6,6 +6,7 @@ import lombok.NoArgsConstructor;
import lombok.ToString;
import java.io.Serializable;
import java.util.List;
/**
* @author fufanrui
@ -20,7 +21,7 @@ import java.io.Serializable;
public class RealTimeDataRequest implements Serializable {
private Long userId;
private List<Long> userId;
private String vin;

74
couplet-common/couplet-common-redis/src/main/java/com/couplet/common/redis/service/RedisService.java
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@ -23,14 +23,13 @@ public class RedisService {
public RedisTemplate redisTemplate;
// ... 其他已有方法 ...
/**
* 向指定集合中添加值，如果值不存在则添加并返回true，否则返回false。
*
* @param setKey 集合键名
* @param value 要添加的值
* @param value 要添加的值
* @return true表示值已成功添加（之前不存在），false表示值已存在
*/
public boolean addToSetIfNotExists(String setKey, String value) {
@ -44,7 +43,7 @@ public class RedisService {
* @param key 缓存的键值
* @param value 缓存的值
*/
public <T> void setCacheObject (final String key, final T value) {
public <T> void setCacheObject(final String key, final T value) {
redisTemplate.opsForValue().set(key, value);
}
@ -56,7 +55,7 @@ public class RedisService {
* @param timeout 时间
* @param timeUnit 时间颗粒度
*/
public <T> void setCacheObject (final String key, final T value, final Long timeout, final TimeUnit timeUnit) {
public <T> void setCacheObject(final String key, final T value, final Long timeout, final TimeUnit timeUnit) {
redisTemplate.opsForValue().set(key, value, timeout, timeUnit);
}
@ -65,10 +64,9 @@ public class RedisService {
*
* @param key Redis键
* @param timeout 超时时间
*
* @return true=设置成功；false=设置失败
*/
public boolean expire (final String key, final long timeout) {
public boolean expire(final String key, final long timeout) {
return expire(key, timeout, TimeUnit.SECONDS);
}
@ -78,10 +76,9 @@ public class RedisService {
* @param key Redis键
* @param timeout 超时时间
* @param unit 时间单位
*
* @return true=设置成功；false=设置失败
*/
public boolean expire (final String key, final long timeout, final TimeUnit unit) {
public boolean expire(final String key, final long timeout, final TimeUnit unit) {
return redisTemplate.expire(key, timeout, unit);
}
@ -89,10 +86,9 @@ public class RedisService {
* 获取有效时间
*
* @param key Redis键
*
* @return 有效时间
*/
public long getExpire (final String key) {
public long getExpire(final String key) {
return redisTemplate.getExpire(key);
}
@ -100,10 +96,9 @@ public class RedisService {
* 判断 key是否存在
*
* @param key 键
*
* @return true 存在 false不存在
*/
public Boolean hasKey (String key) {
public Boolean hasKey(String key) {
return redisTemplate.hasKey(key);
}
@ -111,10 +106,9 @@ public class RedisService {
* 获得缓存的基本对象。
*
* @param key 缓存键值
*
* @return 缓存键值对应的数据
*/
public <T> T getCacheObject (final String key) {
public <T> T getCacheObject(final String key) {
ValueOperations<String, T> operation = redisTemplate.opsForValue();
return operation.get(key);
}
@ -124,7 +118,7 @@ public class RedisService {
*
* @param key
*/
public boolean deleteObject (final String key) {
public boolean deleteObject(final String key) {
return redisTemplate.delete(key);
}
@ -132,10 +126,9 @@ public class RedisService {
* 删除集合对象
*
* @param collection 多个对象
*
* @return
*/
public boolean deleteObject (final Collection collection) {
public boolean deleteObject(final Collection collection) {
return redisTemplate.delete(collection) > 0;
}
@ -144,10 +137,9 @@ public class RedisService {
*
* @param key 缓存的键值
* @param dataList 待缓存的List数据
*
* @return 缓存的对象
*/
public <T> long setCacheList (final String key, final List<T> dataList) {
public <T> long setCacheList(final String key, final List<T> dataList) {
Long count = redisTemplate.opsForList().rightPushAll(key, dataList);
return count == null ? 0 : count;
}
@ -156,10 +148,9 @@ public class RedisService {
* 获得缓存的list对象
*
* @param key 缓存的键值
*
* @return 缓存键值对应的数据
*/
public <T> List<T> getCacheList (final String key) {
public <T> List<T> getCacheList(final String key) {
return redisTemplate.opsForList().range(key, 0, -1);
}
@ -168,10 +159,9 @@ public class RedisService {
*
* @param key 缓存键值
* @param dataSet 缓存的数据
*
* @return 缓存数据的对象
*/
public <T> BoundSetOperations<String, T> setCacheSet (final String key, final Set<T> dataSet) {
public <T> BoundSetOperations<String, T> setCacheSet(final String key, final Set<T> dataSet) {
BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key);
Iterator<T> it = dataSet.iterator();
while (it.hasNext()) {
@ -179,25 +169,25 @@ public class RedisService {
}
return setOperation;
}
/**
* 缓存Set
*
* @param key 缓存键值
* @param key 缓存键值
* @param setValue 缓存的数据
*
* @return 缓存数据的对象
*/
public <T> BoundSetOperations<String, T> setCacheSet (final String key, final T setValue) {
public <T> BoundSetOperations<String, T> setCacheSet(final String key, final T setValue) {
BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key);
setOperation.add(setValue);
return setOperation;
}
/**
* 缓存Set
*
* @param key 缓存键值
* @param key 缓存键值
* @param setValue 缓存的数据
*
* @return 缓存数据的对象
*/
public <T> void deleteSet(String key, String setValue) {
@ -205,26 +195,25 @@ public class RedisService {
BoundSetOperations setOperations = redisTemplate.boundSetOps(key);
setOperations.remove(setValue);
}
/**
* 获得缓存的set
*
* @param key
*
* @return
*/
public <T> Set<T> getCacheSet (final String key) {
public <T> Set<T> getCacheSet(final String key) {
return redisTemplate.opsForSet().members(key);
}
/**
* 缓存Map
*
* @param key
* @param dataMap
*/
public <T> void setCacheMap (final String key, final Map<String, T> dataMap) {
public <T> void setCacheMap(final String key, final Map<String, T> dataMap) {
if (dataMap != null) {
redisTemplate.opsForHash().putAll(key, dataMap);
}
@ -234,10 +223,9 @@ public class RedisService {
* 获得缓存的Map
*
* @param key
*
* @return
*/
public <T> Map<String, T> getCacheMap (final String key) {
public <T> Map<String, T> getCacheMap(final String key) {
return redisTemplate.opsForHash().entries(key);
}
@ -248,7 +236,7 @@ public class RedisService {
* @param hKey Hash键
* @param value 值
*/
public <T> void setCacheMapValue (final String key, final String hKey, final T value) {
public <T> void setCacheMapValue(final String key, final String hKey, final T value) {
redisTemplate.opsForHash().put(key, hKey, value);
}
@ -257,10 +245,9 @@ public class RedisService {
*
* @param key Redis键
* @param hKey Hash键
*
* @return Hash中的对象
*/
public <T> T getCacheMapValue (final String key, final String hKey) {
public <T> T getCacheMapValue(final String key, final String hKey) {
HashOperations<String, String, T> opsForHash = redisTemplate.opsForHash();
return opsForHash.get(key, hKey);
}
@ -270,10 +257,9 @@ public class RedisService {
*
* @param key Redis键
* @param hKeys Hash键集合
*
* @return Hash对象集合
*/
public <T> List<T> getMultiCacheMapValue (final String key, final Collection<Object> hKeys) {
public <T> List<T> getMultiCacheMapValue(final String key, final Collection<Object> hKeys) {
return redisTemplate.opsForHash().multiGet(key, hKeys);
}
@ -282,10 +268,9 @@ public class RedisService {
*
* @param key Redis键
* @param hKey Hash键
*
* @return 是否成功
*/
public boolean deleteCacheMapValue (final String key, final String hKey) {
public boolean deleteCacheMapValue(final String key, final String hKey) {
return redisTemplate.opsForHash().delete(key, hKey) > 0;
}
@ -293,20 +278,19 @@ public class RedisService {
* 获得缓存的基本对象列表
*
* @param pattern 字符串前缀
*
* @return 对象列表
*/
public Collection<String> keys (final String pattern) {
public Collection<String> keys(final String pattern) {
return redisTemplate.keys(pattern);
}
public void setVinAndUserId(RealTimeDataRequest realTimeDataRequest) {
String key = "vin:" + realTimeDataRequest.getVin();
redisTemplate.opsForSet().add(key,realTimeDataRequest);
redisTemplate.opsForSet().add(key, realTimeDataRequest);
}
public void stopViewingData(String vin) {
String key = "vin:"+vin;
String key = "vin:" + vin;
redisTemplate.delete(key);
}

2
couplet-modules/couplet-analyze/couplet-analyze-msg/src/main/java/com/couplet/analyze/msg/model/ModelsKafkaMessage.java
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@ -38,7 +38,7 @@ import static java.lang.Thread.sleep;
@Component
@Slf4j
public class ModelsKafkaMessage {
private static final String TOPIC_NAME = "xy";
private static final String TOPIC_NAME = "topic_lyh";
private static final String BOOTSTRAP_SERVERS = "39.103.133.136:9092";

4
couplet-modules/couplet-analyze/couplet-analyze-msg/src/main/java/com/couplet/analyze/msg/service/impl/ElectronicFenceServiceImpl.java
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@ -5,6 +5,7 @@ import com.couplet.analyze.common.contents.AnalyzeEventContents;
import com.couplet.analyze.msg.domain.CoupletMsgData;
import com.couplet.analyze.msg.service.IncidentService;
import com.couplet.common.core.text.Convert;
import com.couplet.common.core.utils.StringUtils;
import com.couplet.common.domain.Fence;
import com.couplet.common.domain.request.FenceAndLogeRequest;
import com.couplet.common.redis.service.RedisService;
@ -48,6 +49,9 @@ public class ElectronicFenceServiceImpl implements IncidentService {
log.info("电子围栏事件redis存在.......");
for (Fence fence : cacheSet) {
String fenceLongitudeLatitude = fence.getFenceLongitudeLatitude();
if (!StringUtils.isEmpty(fenceLongitudeLatitude)){
log.info("电子围栏没有数据鸭...");
}
/**
* 先通过；后切割
*/

23
couplet-modules/couplet-analyze/couplet-analyze-msg/src/main/java/com/couplet/analyze/msg/service/impl/RealTimeDataServiceImpl.java
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@ -43,29 +43,16 @@ public class RealTimeDataServiceImpl implements IncidentService {
@Override
public void incident(CoupletMsgData coupletMsgData) {
log.info("实时数据事件开始.....");
Set<Set<String, HashSet<>>> cacheSet = redisService.getCacheSet("vin:" + coupletMsgData.getVin());
// //判断是否有缓存数据
// if (redisService.hasKey("vin:query:" + coupletMsgData.getVin())){
// redisService.deleteObject("vin:query:" + coupletMsgData.getVin());
// }
// if (RealTimeJudge.isJudge(coupletMsgData.getVin())) {
if (StringUtils.isArray(cacheObject)){
if (coupletMsgData.getVin().equals(cacheObject.getVin())){
// log.info("有实时数据，值为：[{}]开始传输实时数据", coupletMsgData.getVin());
//判断数据是否一致，
// if (RealTimeJudge.addRealTime(cacheObject)) {
log.info("[{}]有缓存数据，值为：[{}]，且缓存数据与实时数据一致，开始传输实时数据", coupletMsgData.getVin(), cacheObject);
if (redisService.hasKey("实时轨迹vin:"+ coupletMsgData.getVin())){
boolean a= ("实时轨迹vin:" + coupletMsgData.getVin()).equals("实时轨迹vin:"+ coupletMsgData.getVin());
if (a){
log.info("[{}]有缓存数据，值为：[{}]，且缓存数据与实时数据一致，开始传输实时数据", coupletMsgData.getVin(), coupletMsgData);
redisService.setCacheSet("vin:query:" + coupletMsgData.getVin(), coupletMsgData);
redisService.expire("vin:"+coupletMsgData.getVin(),10, TimeUnit.MINUTES);
// } else {
// log.info("[{}]有缓存数据，值为：[{}]，且缓存数据与实时数据不一致，开始传输实时数据", coupletMsgData.getVin(), cacheObject);
// }
}
}
log.info("实时数据事件结束.....");
}
/**

2
couplet-modules/couplet-analyze/couplet-analyze-msg/src/main/java/com/couplet/analyze/msg/service/impl/realTimeData/RealTimeJudge.java
View File

@ -37,7 +37,7 @@ public class RealTimeJudge {
userIds = new HashSet<>();
setMap.put(realTimeDataRequest.getVin(),userIds);
}
userIds.add(realTimeDataRequest.getUserId());
// userIds.add(realTimeDataRequest.getUserId());
return true;
}

19
couplet-modules/couplet-business/src/main/java/com/couplet/business/server/service/impl/VehicleDetectionServiceImpl.java
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@ -22,10 +22,7 @@ import org.springframework.stereotype.Service;
import springfox.documentation.spring.web.json.Json;
import java.lang.reflect.Array;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Set;
import java.util.*;
import java.util.concurrent.TimeUnit;
/**
@ -63,13 +60,19 @@ public class VehicleDetectionServiceImpl implements VehicleDetectionService{
@Override
public void monitorinData(String vin) {
//创建对象
RealTimeDataRequest realTimeDataRequest = new RealTimeDataRequest();
//获取用户id
Long userId = SecurityUtils.getUserId();
//设置车辆vin
realTimeDataRequest.setVin(vin);
realTimeDataRequest.setUserId(userId);
// analyzeEventCache.queryEvent("查询实时数据"+vin,realTimeDataRequest);
// redisService.expire("查询实时数据"+vin,4,TimeUnit.MINUTES);
redisService.setVinAndUserId(realTimeDataRequest);
//创建hashSet集合
HashSet<Long> objects = new HashSet<>();
//添加车辆id
objects.add(userId);
//把对象放入hashSet集合中
//存储的对象是:key:业务+vin value: hashSet集合类型的对象
redisService.setCacheSet("实时轨迹vin:"+ vin,objects);
}
@Override

2
couplet-modules/couplet-business/src/main/resources/bootstrap.yml
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@ -16,11 +16,9 @@ spring:
discovery:
# 服务注册地址
server-addr: 121.89.211.230:8848
namespace: 968741d4-299d-483c-8d30-ede2aff8cfd4
config:
# 配置中心地址
server-addr: 121.89.211.230:8848
namespace: 968741d4-299d-483c-8d30-ede2aff8cfd4
# 配置文件格式
file-extension: yml
# 共享配置

2
couplet-modules/couplet-modules-mq/src/main/java/com/couplet/mq/controller/MqController.java
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@ -74,7 +74,7 @@ public class MqController {
RealTimeDataRequest realTimeDataRequest = new RealTimeDataRequest();
realTimeDataRequest.setVin(vin);
Long userId = SecurityUtils.getUserId();
realTimeDataRequest.setUserId(userId);
rabbitTemplate.convertAndSend(RabbitMQConfig.VinExchangeName, RabbitMQConfig.VinRoutingKey, realTimeDataRequest,
message -> {
message.getMessageProperties().setMessageId(IdUtils.randomUUID());

2
couplet-modules/couplet-system/src/main/resources/bootstrap.yml
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@ -15,11 +15,9 @@ spring:
discovery:
# 服务注册地址
server-addr: 121.89.211.230:8848
namespace: 968741d4-299d-483c-8d30-ede2aff8cfd4
config:
# 配置中心地址
server-addr: 121.89.211.230:8848
namespace: 968741d4-299d-483c-8d30-ede2aff8cfd4
# 配置文件格式
file-extension: yml
# 共享配置