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App统计图增加功能：添加app趋势详情和App通联关系Top100 数据查询接口

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This commit is contained in:
zhangdongxu
2019-01-05 17:21:07 +08:00
parent 76f3808a84
commit 66b92f37d2
7 changed files with 375 additions and 1 deletions
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163
src/main/java/com/nis/web/controller/restful/DashboardServiceController.java
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@@ -1,5 +1,6 @@
package com.nis.web.controller.restful;
import java.text.ParseException;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Calendar;
@@ -19,7 +20,12 @@ import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import com.nis.datasource.CustomerContextHolder;
import com.nis.domain.restful.NtcConnNumReport;
import com.nis.domain.restful.NtcRadiusReport;
import com.nis.domain.restful.dashboard.AppConnRecordStatistic;
import com.nis.domain.restful.dashboard.AppTrendEntity;
import com.nis.domain.restful.dashboard.TrafficAppFocusStatistic;
import com.nis.restful.RestBusinessCode;
import com.nis.restful.RestServiceException;
import com.nis.restful.ServiceRuntimeException;
@@ -985,4 +991,161 @@ public class DashboardServiceController extends BaseRestController {
return serviceLogResponse(saveLogThread, System.currentTimeMillis() - start, request, "流量各指标趋势统计成功",
restMap, 0);
}
/**
* @Description:
* @author(zdx)
* @date 2019年1月4日 下午8:57:32
* @param model
* @param entity
* @param request
* @param response
* @return
*/
@RequestMapping(value = "trafficAppTrend", method = RequestMethod.GET)
@ApiOperation(value = "App趋势详情查询", httpMethod = "GET", notes = "对App趋势详情提供数据查询服务")
public Map<String, ?> trafficAppTrend(TrafficAppFocusStatistic entity, Model model,
HttpServletRequest request, HttpServletResponse response) {
long start = System.currentTimeMillis();
AuditLogThread auditLogThread = super.saveRequestLog(servicesRequestLogService, Constants.OPACTION_GET, request,
null);
Map resultMap = new HashMap();
try {
//验证
checkAppTrendCondition(entity);
if (StringUtil.isEmpty(entity.getSearchStartTime())
&& StringUtil.isEmpty(entity.getSearchEndTime())) {
Map<String, String> map = DateUtils.getLocalTime(null, null, Constants.LOG_LOCAL_TIME, "hour");
entity.setSearchStartTime(map.get("startTime"));
entity.setSearchEndTime(map.get("endTime"));
}
//将数据源切换到本地clickhouse
CustomerContextHolder.setCustomerType(CustomerContextHolder.DATA_SOURCE_B);
resultMap = dashboardService.getAppTrend(entity);
CustomerContextHolder.clearCustomerType();
} catch (Exception e) {
auditLogThread.setExceptionInfo("App趋势详情数据检索失败:" + e.getMessage());
logger.error("App趋势详情数据检索失败:" + ExceptionUtil.getExceptionMsg(e));
if (e instanceof RestServiceException) {
throw new RestServiceException(auditLogThread, System.currentTimeMillis() - start,
"App趋势详情数据检索失败:" + e.getMessage(), ((RestServiceException) e).getErrorCode());
} else if (e instanceof ServiceRuntimeException) {
throw new ServiceRuntimeException(auditLogThread, System.currentTimeMillis() - start,
"App趋势详情数据检索失败:" + e.getMessage(), ((ServiceRuntimeException) e).getErrorCode());
} else {
throw new ServiceRuntimeException(auditLogThread, System.currentTimeMillis() - start,
"App趋势详情数据检索失败:" + e.getMessage(), RestBusinessCode.service_runtime_error.getValue());
}
}
return serviceLogResponse(auditLogThread, System.currentTimeMillis() - start, request, "App趋势详情数据检索成功",
resultMap, 0);
}
/**
* @Description:
* @author(zdx)
* @date 2019年1月4日 下午8:57:12
* @param beginDate
* @param endDate
* @param model
* @param request
* @param response
* @return
*/
@RequestMapping(value = "appConnRecordTop100", method = RequestMethod.GET)
@ApiOperation(value = "App通联关系Top100", httpMethod = "GET", notes = "对App通联关系Top100提供查询服务。")
public Map<String, ?> appConnRecordTop100(AppConnRecordStatistic entity,Model model, HttpServletRequest request,
HttpServletResponse response) {
long start = System.currentTimeMillis();
AuditLogThread auditLogThread = super.saveRequestLog(servicesRequestLogService, Constants.OPACTION_GET, request,
null);
List<AppConnRecordStatistic> list = new ArrayList<AppConnRecordStatistic>();
try {
//验证
checkAppTrendCondition(entity);
if (StringUtil.isEmpty(entity.getSearchStartTime())
&& StringUtil.isEmpty(entity.getSearchEndTime())) {
Map<String, String> map = DateUtils.getLocalTime(null, null, Constants.LOG_LOCAL_TIME, "hour");
entity.setSearchStartTime(map.get("startTime"));
entity.setSearchEndTime(map.get("endTime"));
}
CustomerContextHolder.setCustomerType(CustomerContextHolder.DATA_SOURCE_B);
list = dashboardService.appConnRecordTop100(entity);
CustomerContextHolder.clearCustomerType();
} catch (Exception e) {
auditLogThread.setExceptionInfo("App通联关系Top100数据检索失败:" + e.getMessage());
logger.error("App通联关系Top100检索失败:" + ExceptionUtil.getExceptionMsg(e));
if (e instanceof RestServiceException) {
throw new RestServiceException(auditLogThread, System.currentTimeMillis() - start,
"App通联关系Top100数据检索失败:" + e.getMessage(), ((RestServiceException) e).getErrorCode());
} else if (e instanceof ServiceRuntimeException) {
throw new ServiceRuntimeException(auditLogThread, System.currentTimeMillis() - start,
"App通联关系Top100数据检索失败:" + e.getMessage(), ((ServiceRuntimeException) e).getErrorCode());
} else {
throw new ServiceRuntimeException(auditLogThread, System.currentTimeMillis() - start,
"App通联关系Top100数据检索失败:" + e.getMessage(), RestBusinessCode.service_runtime_error.getValue());
}
}
return serviceLogResponse(auditLogThread, System.currentTimeMillis() - start, request, "App通联关系Top100数据检索成功", list,
0);
}
/**
*/
public void checkAppTrendCondition(AppTrendEntity entity) {
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
int timeCount = 0;
try {
if (!StringUtil.isBlank(entity.getSearchStartTime())) {
sdf.parse(entity.getSearchStartTime());
timeCount++;
}
} catch (ParseException e) {
throw new RestServiceException("searchStartTime参数格式错误",
RestBusinessCode.param_formate_error.getValue());
} catch (Exception e) {
throw new RestServiceException("searchStartTime参数错误",
RestBusinessCode.param_formate_error.getValue());
}
try {
if (!StringUtil.isBlank(entity.getSearchEndTime())) {
sdf.parse(entity.getSearchEndTime());
timeCount++;
}
} catch (ParseException e) {
throw new RestServiceException("searchEndTime参数格式错误",
RestBusinessCode.param_formate_error.getValue());
} catch (Exception e) {
throw new RestServiceException("searchEndTime参数错误", RestBusinessCode.param_formate_error.getValue());
}
if (timeCount == 1) {
throw new RestServiceException("searchStartTime和searchEndTime参数必须同时填写",
RestBusinessCode.config_integrity_error.getValue());
}
//验证AppId和EntranceId必须是数值
checkNumericCondition(entity.getSearchAppId(),"searchAppId");
checkNumericCondition(entity.getSearchEntranceId(),"searchEntranceId");
logger.info("用户行为日志统计参数校验结束----" + System.currentTimeMillis());
}
public void checkNumericCondition(String condition, String condName) {
if (!StringUtil.isEmpty(condition)) {
Boolean flag = false;
if (condition.contains(",")) {
String services[] = condition.split(",");
for (String service : services) {
if (!StringUtil.isNumeric(service)) {
flag = true;
break;
}
}
} else if (!StringUtil.isNumeric(condition)) {
flag = true;
}
if (flag) {
throw new RestServiceException(condName + "参数格式错误", RestBusinessCode.param_formate_error.getValue());
}
}
}
}

5
src/main/java/com/nis/web/dao/dashboard/TrafficAppStatisticDao.java
View File

@@ -5,7 +5,8 @@ import java.util.List;
import java.util.Map;
import org.apache.ibatis.annotations.Param;
import com.nis.domain.restful.dashboard.AppConnRecordStatistic;
import com.nis.domain.restful.dashboard.TrafficAppFocusStatistic;
import com.nis.domain.restful.dashboard.TrafficAppStatistic;
import com.nis.web.dao.MyBatisDao;
@MyBatisDao
@@ -14,4 +15,6 @@ public interface TrafficAppStatisticDao {
TrafficAppStatistic getMaxStatTime();
List<Map> appChart(@Param("statTime")Date statTime);
List<Map> getAppList(@Param("beginTime")String beginTime,@Param("endTime")String endTime,@Param("appType")Integer[] appType);
List<TrafficAppFocusStatistic> getAppTrend(TrafficAppFocusStatistic entity);
List<AppConnRecordStatistic> appConnRecordTop100(AppConnRecordStatistic entity);
}

25
src/main/java/com/nis/web/dao/dashboard/TrafficAppStatisticDao.xml
View File

@@ -42,4 +42,29 @@
GROUP BY app_type ) p
LEFT JOIN ui_code_app_dic c ON p.app_type=c.view_code ORDER BY p.GByte DESC
</select>
<!-- App 趋势详情 -->
<select id="getAppTrend" parameterType="com.nis.domain.restful.dashboard.TrafficAppFocusStatistic" resultType="com.nis.domain.restful.dashboard.TrafficAppFocusStatistic">
select stat_time time, max(unique_sip_num) sipNum,max(unique_dip_num) dipNum from traffic_app_focus_statistic t where
<![CDATA[ stat_time>= toDateTime(#{searchStartTime}) and stat_time< toDateTime(#{searchEndTime})
and app_id=toInt64(#{searchAppId}) ]]>
<if test="searchEntranceId">
<![CDATA[and entrance_id=toInt64(#{searchEntranceId}) ]]>
</if>
group by stat_time
order by stat_time
</select>
<!-- App通联关系Top100 -->
<select id="appConnRecordTop100" parameterType="com.nis.domain.restful.dashboard.AppConnRecordStatistic" resultType="com.nis.domain.restful.dashboard.AppConnRecordStatistic">
select found_time,s_ip ipAddr, sum(c2s_byte_num + s2c_byte_num) byteNum, sum(c2s_pkt_num + s2c_pkt_num) pktNum, count(found_time) logNum
from tbs_ods_ntc_conn_record_log t where
<![CDATA[ found_time>= toDateTime(#{searchStartTime}) and found_time< toDateTime(#{searchEndTime})
and app_id=toInt64(#{searchAppId}) ]]>
<if test="searchEntranceId">
<![CDATA[and entrance_id=toInt64(#{searchEntranceId}) ]]>
</if>
group by found_time,s_ip
order by logNum limit 100
</select>
</mapper>

66
src/main/java/com/nis/web/service/restful/DashboardService.java
View File

@@ -22,7 +22,9 @@ import org.springframework.stereotype.Service;
import com.beust.jcommander.internal.Maps;
import com.nis.domain.restful.NtcConnNumReport;
import com.nis.domain.restful.NtcEntranceReport;
import com.nis.domain.restful.dashboard.AppConnRecordStatistic;
import com.nis.domain.restful.dashboard.NtcTotalReport;
import com.nis.domain.restful.dashboard.TrafficAppFocusStatistic;
import com.nis.domain.restful.dashboard.TrafficAppStatistic;
import com.nis.domain.restful.dashboard.TrafficHttpFocusStatistic;
import com.nis.domain.restful.dashboard.TrafficIpActiveStatistic;
@@ -1633,4 +1635,68 @@ public class DashboardService extends BaseService {
}
return restMap;
}
public Map getAppTrend(TrafficAppFocusStatistic entity) {
List<TrafficAppFocusStatistic> appFocusList = new ArrayList<TrafficAppFocusStatistic>();
appFocusList = trafficAppStatisticDao.getAppTrend(entity);
Map resultMap = new HashMap();
if(!StringUtil.isEmpty(appFocusList)){
Date beginDate = DateUtils.parseDate(entity.getSearchStartTime());
Date endDate = DateUtils.parseDate(entity.getSearchEndTime());
List<Date> dateRangeList = new ArrayList<Date>();
Calendar calendar = Calendar.getInstance();
calendar.setTime(beginDate);
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
while (calendar.getTime().compareTo(endDate) < 0) {
dateRangeList.add(calendar.getTime());
calendar.add(Calendar.MINUTE, Constants.TREND_TIME_INTERVAL);
}
// 存放每个时间点的总数
Map<String, List<Long>> ipCountListMap = new HashMap<String, List<Long>>();
int index = 0;
List resultSipList = new ArrayList();
List resultDipList = new ArrayList();
Long sipTotal = 0L;
Long dipTotal = 0L;
for (int i = 0; i < dateRangeList.size(); i++) {
// 存放一个时间点中总数
List sipList = new ArrayList();
List dipList = new ArrayList();
Date date = dateRangeList.get(i);
Long sipNum = 0L;
Long dipNum = 0L;
for (int j = index; j < appFocusList.size(); j++) {
TrafficAppFocusStatistic info = appFocusList.get(j);
if (info.getTime() != null) {
if (info.getTime().compareTo(date) >= 0 && (i + 1 < dateRangeList.size()?info.getTime().compareTo(dateRangeList.get(i + 1)) < 0:true)) {
sipNum = sipNum + info.getSipNum();
dipNum = dipNum + info.getDipNum();
} else {
index = j;
break;
}
}
}
sipList.add(date.getTime());
sipList.add(sipNum);
resultSipList.add(sipList);
dipList.add(date.getTime());
dipList.add(dipNum);
resultDipList.add(dipList);
sipTotal+=sipNum;
dipTotal+=dipNum;
}
resultMap.put("sipResult", resultSipList);
resultMap.put("dipResult", resultDipList);
resultMap.put("sipSum", sipTotal);
resultMap.put("dipSum", dipTotal);
}
return resultMap;
}
public List<AppConnRecordStatistic> appConnRecordTop100(AppConnRecordStatistic entity) {
List<AppConnRecordStatistic> list = new ArrayList<AppConnRecordStatistic>();
list = trafficAppStatisticDao.appConnRecordTop100(entity);
return list;
}
}