gfwleak/k18-ntcs-web-argus-service
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解决最近时间段显示为0问题，动作详情时间趋势转为后台运算时间分组

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zhanghongqing
2018-12-13 19:17:52 +08:00
parent 76008c23f9
commit 0b1d9d8783
4 changed files with 100 additions and 46 deletions
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116
src/main/java/com/nis/web/service/restful/DashboardService.java
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@@ -169,16 +169,16 @@ public class DashboardService extends BaseService {
Map<String, Comparable> m= new HashMap<String, Comparable>();
int inter=1000*60*5;// 间隔时间为五分钟
// 开始时间，结束时间 时间戳
Long b = dateToStamp(endDate);
Long e = dateToStamp(beginDate);
Long b = dateToStamp(beginDate);
Long e = dateToStamp(endDate);
int num=0;
Long pointTime=b;
while(pointTime>e){
while(pointTime<e){
Map rm=new HashMap();
Long sumL=0l;
Long sumP=0l;
Long sumG=0l;
if(pointTime<e){
if(pointTime>=e){
break; //停止
}
for (TrafficTransStatistic tt : bandwidthList) {
@@ -192,17 +192,29 @@ public class DashboardService extends BaseService {
sumG=sumG+ tt.getGbps();
}
}
timeList.add(stampToDate(pointTime));
linkList.add(sumL);
gbpsList.add(sumG);
ppsList.add(sumP);
// 在结束时间只有当值大于0时才记录数据，防止折线降为0引起误会
if(pointTime>=e-inter&&sumL>0) {
linkList.add(sumL);
}
if(pointTime>=e-inter&&sumP>0) {
ppsList.add(sumP);
}
if(pointTime>=e-inter&&sumG>0) {
gbpsList.add(sumG);
}
if(pointTime>=e-inter&&(sumL>0||sumG>0||sumP>0)) {
timeList.add(stampToDate(pointTime));
}
if(pointTime<e-inter) {
timeList.add(stampToDate(pointTime));
linkList.add(sumL);
gbpsList.add(sumG);
ppsList.add(sumP);
}
num=num+1;
pointTime =b-inter*num;
pointTime =b+inter*num;
}
Collections.reverse(linkList);
Collections.reverse(gbpsList);
Collections.reverse(ppsList);
Collections.reverse(timeList);
resulMap.put("linkNum", linkList);
resulMap.put("gbps", gbpsList);
resulMap.put("pps", ppsList);
@@ -227,10 +239,10 @@ public class DashboardService extends BaseService {
Long e = dateToStamp(end);
int num=0;
Long pointTime=b;
while(pointTime>e){
while(pointTime<e){
Map rm=new HashMap();
Long sum=0l;
if(pointTime<e){
if(pointTime>=e){
break; //停止
}
for (Map<?, ?> map : li) {
@@ -245,7 +257,7 @@ public class DashboardService extends BaseService {
rm.put("time", stampToDate(pointTime));
rm.put("sum", sum);
num=num+1;
pointTime =b-inter*num;
pointTime =b+inter*num;
resList.add(rm);
}
return resList;
@@ -281,7 +293,7 @@ public class DashboardService extends BaseService {
/**
* 根据service 动作查询近五分钟变化趋势 entrance 默认为1,2
*/
public List<HashMap> getActionTrans(String serviceType) {
public List<HashMap> getActionTrans(String begin,String end,String serviceType) {
String sql = "";
String sqlBlock = "((service>=16 and service<=40) or (service>=258 and service<=273) or (service=576))"; // 阻断
String sqlMonitor = "((service>=128 and service<=152) or (service>=384 and service<=513) or (service=592) or (service>=848 and service<=1030) or (service=1152))"; // 监测
@@ -297,36 +309,65 @@ public class DashboardService extends BaseService {
ArrayList<HashMap> listMap = new ArrayList<HashMap>();
List<NtcEntranceReport> entrance1 = new ArrayList<NtcEntranceReport>();
List<NtcEntranceReport> entrance2 = new ArrayList<NtcEntranceReport>();
Map maxReportTime = ntcTotalReportDao.getEntranceMaxReportTime();
if (maxReportTime != null && maxReportTime.get("reportTime") != null) {
Date reportTime = (Date) maxReportTime.get("reportTime");
HashMap m1 = new HashMap();
HashMap m2 = new HashMap();
entrance1 = ntcTotalReportDao.getActionTrans(reportTime, 1, sql);
entrance2 = ntcTotalReportDao.getActionTrans(reportTime, 2, sql);
entrance1 = ntcTotalReportDao.getActionTrans(begin,end, 1, sql);
entrance2 = ntcTotalReportDao.getActionTrans(begin,end, 2, sql);
List timeList = new ArrayList();
List sumList1 = new ArrayList();
List sumList2 = new ArrayList();
// entrance 为1的趋势
if (entrance1 != null && entrance1.size() > 0) {
for (NtcEntranceReport tt : entrance1) {
if (tt.getTime() != null && tt.getSum() != null) {
timeList.add(tt.getTime());
sumList1.add(tt.getSum());
Map<String, Comparable> m= new HashMap<String, Comparable>();
int inter=1000*60*5;// 间隔时间为五分钟
// 开始时间，结束时间 时间戳
Long b = dateToStamp(begin);
Long e = dateToStamp(end);
int num=0;
Long pointTime=b;
while(pointTime<e){
Map rm=new HashMap();
Long sum1=0l;
Long sum2=0l;
if(pointTime>=e){
break; //停止
}
for (NtcEntranceReport e1 : entrance1) {
// 实际时间
String time= e1.getTime();
Long t = dateToStamp(time);
if(t>=pointTime&&t<pointTime+inter){
// 范围之内分到此pointTime组
sum1=sum1+ e1.getSum();
}
}
}
// entrance 为2的趋势
if (entrance2 != null && entrance2.size() > 0) {
for (NtcEntranceReport tt : entrance2) {
if (tt.getTime() != null && tt.getSum() != null) {
// timeList.add(tt.getTime());
sumList2.add(tt.getSum());
for (NtcEntranceReport e2 : entrance2) {
// 实际时间
String time= e2.getTime();
Long t = dateToStamp(time);
if(t>=pointTime&&t<pointTime+inter){
// 范围之内分到此pointTime组
sum2=sum2+ e2.getSum();
}
}
// 在结束时间只有当值大于0时才记录数据，防止折线降为0引起误会
if(pointTime>=e-inter&&sum1>0) {
sumList1.add(sum1);
}
if(pointTime>=e-inter&&sum2>0) {
sumList2.add(sum2);
}
if(pointTime>=e-inter&&(sum1>0||sum2>0)) {
timeList.add(stampToDate(pointTime));
}
if(pointTime<e-inter) {
sumList1.add(sum1);
sumList2.add(sum2);
timeList.add(stampToDate(pointTime));
}
num=num+1;
pointTime =b+inter*num;
}
m1.put("count", sumList1);// [{time:[],link:[],link2:[]}]
m1.put("count", sumList1);
m1.put("statTime", timeList);
m1.put("entranceId", 1);
m2.put("count", sumList2);// [{link1:[],time:[],entrance:"1"},]
@@ -334,7 +375,6 @@ public class DashboardService extends BaseService {
m2.put("entranceId", 2);
listMap.add(m1);
listMap.add(m2);
}
return listMap;
}