Commit 8f10cdec authored by liuna's avatar liuna

2018年1月26日 --智能分析平台

--实体厅流量监测页面
parent 5c7fe802
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package com.hp.cmsz.entity;
import org.apache.commons.net.ntp.TimeStamp;
import javax.persistence.*;
import java.io.Serializable;
/**
* app_sm_db_account_kpi_250_t表对应的实体类
*
* @author Liu Na
*
*/
@Entity
@Table(name = "app_sm_db_account_kpi_250_t",schema = "CCOLAP")
public class FlowAccount implements Serializable {
private Long batchId;
private TimeStamp statsTime;
private String account;
private Long transCnt;
private Long transAvailCnt;
private Long transTimeAvg;
private Long time1MobileCnt;
private Long time2MobileCnt;
private Long time3MobileCnt;
private Long statsPeriod;
private TimeStamp crtTime;
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
public Long getBatchId() {
return batchId;
}
public void setBatchId(Long batchId) {
this.batchId = batchId;
}
public TimeStamp getStatsTime() {
return statsTime;
}
public void setStatsTime(TimeStamp statsTime) {
this.statsTime = statsTime;
}
public String getAccount() {
return account;
}
public void setAccount(String account) {
this.account = account;
}
public Long getTransCnt() {
return transCnt;
}
public void setTransCnt(Long transCnt) {
this.transCnt = transCnt;
}
public Long getTransAvailCnt() {
return transAvailCnt;
}
public void setTransAvailCnt(Long transAvailCnt) {
this.transAvailCnt = transAvailCnt;
}
public Long getTransTimeAvg() {
return transTimeAvg;
}
public void setTransTimeAvg(Long transTimeAvg) {
this.transTimeAvg = transTimeAvg;
}
public Long getTime1MobileCnt() {
return time1MobileCnt;
}
public void setTime1MobileCnt(Long time1MobileCnt) {
this.time1MobileCnt = time1MobileCnt;
}
public Long getTime2MobileCnt() {
return time2MobileCnt;
}
public void setTime2MobileCnt(Long time2MobileCnt) {
this.time2MobileCnt = time2MobileCnt;
}
public Long getTime3MobileCnt() {
return time3MobileCnt;
}
public void setTime3MobileCnt(Long time3MobileCnt) {
this.time3MobileCnt = time3MobileCnt;
}
public Long getStatsPeriod() {
return statsPeriod;
}
public void setStatsPeriod(Long statsPeriod) {
this.statsPeriod = statsPeriod;
}
public TimeStamp getCrtTime() {
return crtTime;
}
public void setCrtTime(TimeStamp crtTime) {
this.crtTime = crtTime;
}
}
package com.hp.cmsz.entity;
import org.apache.commons.net.ntp.TimeStamp;
import javax.persistence.*;
import java.io.Serializable;
/**
* app_sm_db_browser_kpi_t表对应的实体类
*
* @author Liu Na
*
*/
@Entity
@Table(name = "app_sm_db_browser_kpi_t",schema = "CCOLAP")
public class FlowBrowser implements Serializable {
private Long batchId;
private TimeStamp statsTime;
private String province;
private String browser;
private Long activeAccountCnt;
private Long transCnt;
private Long transAvg;
private Long transAvail;
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
public Long getBatchId() {
return batchId;
}
public void setBatchId(Long batchId) {
this.batchId = batchId;
}
public TimeStamp getStatsTime() {
return statsTime;
}
public void setStatsTime(TimeStamp statsTime) {
this.statsTime = statsTime;
}
public String getProvince() {
return province;
}
public void setProvince(String province) {
this.province = province;
}
public String getBrowser() {
return browser;
}
public void setBrowser(String browser) {
this.browser = browser;
}
public Long getActiveAccountCnt() {
return activeAccountCnt;
}
public void setActiveAccountCnt(Long activeAccountCnt) {
this.activeAccountCnt = activeAccountCnt;
}
public Long getTransCnt() {
return transCnt;
}
public void setTransCnt(Long transCnt) {
this.transCnt = transCnt;
}
public Long getTransAvg() {
return transAvg;
}
public void setTransAvg(Long transAvg) {
this.transAvg = transAvg;
}
public Long getTransAvail() {
return transAvail;
}
public void setTransAvail(Long transAvail) {
this.transAvail = transAvail;
}
}
package com.hp.cmsz.entity;
import org.apache.commons.net.ntp.TimeStamp;
import javax.persistence.*;
import java.io.Serializable;
/**
* app_sm_db_client_kpi_250_t表对应的实体类
*
* @author Liu Na
*
*/
@Entity
@Table(name = "app_sm_db_client_kpi_250_t",schema = "CCOLAP")
public class FlowClient implements Serializable {
private Long batchId;
private TimeStamp statsTime;
private String clientIp;
private String transName;
private Long transCnt;
private Long transAvailCnt;
private Long transTimeSum;
private Long mobileCnt;
private Long statsPeriod;
private TimeStamp crtTime;
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
public Long getBatchId() {
return batchId;
}
public void setBatchId(Long batchId) {
this.batchId = batchId;
}
public TimeStamp getStatsTime() {
return statsTime;
}
public void setStatsTime(TimeStamp statsTime) {
this.statsTime = statsTime;
}
public String getClientIp() {
return clientIp;
}
public void setClientIp(String clientIp) {
this.clientIp = clientIp;
}
public String getTransName() {
return transName;
}
public void setTransName(String transName) {
this.transName = transName;
}
public Long getTransCnt() {
return transCnt;
}
public void setTransCnt(Long transCnt) {
this.transCnt = transCnt;
}
public Long getTransAvailCnt() {
return transAvailCnt;
}
public void setTransAvailCnt(Long transAvailCnt) {
this.transAvailCnt = transAvailCnt;
}
public Long getTransTimeSum() {
return transTimeSum;
}
public void setTransTimeSum(Long transTimeSum) {
this.transTimeSum = transTimeSum;
}
public Long getMobileCnt() {
return mobileCnt;
}
public void setMobileCnt(Long mobileCnt) {
this.mobileCnt = mobileCnt;
}
public Long getStatsPeriod() {
return statsPeriod;
}
public void setStatsPeriod(Long statsPeriod) {
this.statsPeriod = statsPeriod;
}
public TimeStamp getCrtTime() {
return crtTime;
}
public void setCrtTime(TimeStamp crtTime) {
this.crtTime = crtTime;
}
}
package com.hp.cmsz.entity;
import org.apache.commons.net.ntp.TimeStamp;
import javax.persistence.*;
import java.io.Serializable;
/**
* app_sm_db_hall_kpi_250_t表对应的实体类
*
* @author Liu Na
*
*/
@Entity
@Table(name = "app_sm_db_hall_kpi_250_t",schema = "ccolap")
public class FlowHallBusiness implements Serializable {
private Long batchId;
private TimeStamp statsTime;
private String city;
private String district;
private String hall;
private Long transCnt;
private Long timeAvg;
private Long statsPeriod;
private TimeStamp crtTime;
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
public Long getBatchId() {
return batchId;
}
public void setBatchId(Long batchId) {
this.batchId = batchId;
}
public TimeStamp getStatsTime() {
return statsTime;
}
public void setStatsTime(TimeStamp statsTime) {
this.statsTime = statsTime;
}
public String getCity() {
return city;
}
public void setCity(String city) {
this.city = city;
}
public String getDistrict() {
return district;
}
public void setDistrict(String district) {
this.district = district;
}
public String getHall() {
return hall;
}
public void setHall(String hall) {
this.hall = hall;
}
public Long getTransCnt() {
return transCnt;
}
public void setTransCnt(Long transCnt) {
this.transCnt = transCnt;
}
public Long getTimeAvg() {
return timeAvg;
}
public void setTimeAvg(Long timeAvg) {
this.timeAvg = timeAvg;
}
public Long getStatsPeriod() {
return statsPeriod;
}
public void setStatsPeriod(Long statsPeriod) {
this.statsPeriod = statsPeriod;
}
public TimeStamp getCrtTime() {
return crtTime;
}
public void setCrtTime(TimeStamp crtTime) {
this.crtTime = crtTime;
}
}
......@@ -2,8 +2,7 @@ package com.hp.cmsz.entity;
import org.apache.commons.net.ntp.TimeStamp;
import javax.persistence.Entity;
import javax.persistence.Table;
import javax.persistence.*;
import java.io.Serializable;
/**
......@@ -12,8 +11,8 @@ import java.io.Serializable;
* @author Liu Na
*
*/
//@Entity
//@Table(name = "APP_SM_DB_CITY_KPI_T",schema = "ccolap")
@Entity
@Table(name = "APP_SM_DB_CITY_KPI_T",schema = "CCOLAP")
public class FlowMonitor implements Serializable {
private Long batchId;
......@@ -24,4 +23,88 @@ public class FlowMonitor implements Serializable {
private Long transCnt;
private Long timeAvg;
private Long timeoutCnt;
private Long statsPeriod;
private TimeStamp crtTime;
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
public Long getBatchId() {
return batchId;
}
public void setBatchId(Long batchId) {
this.batchId = batchId;
}
public TimeStamp getStatsTime() {
return statsTime;
}
public void setStatsTime(TimeStamp statsTime) {
this.statsTime = statsTime;
}
public String getProvince() {
return province;
}
public void setProvince(String province) {
this.province = province;
}
public String getCity() {
return city;
}
public void setCity(String city) {
this.city = city;
}
public Long getActiveAccountCnt() {
return activeAccountCnt;
}
public void setActiveAccountCnt(Long activeAccountCnt) {
this.activeAccountCnt = activeAccountCnt;
}
public Long getTransCnt() {
return transCnt;
}
public void setTransCnt(Long transCnt) {
this.transCnt = transCnt;
}
public Long getTimeAvg() {
return timeAvg;
}
public void setTimeAvg(Long timeAvg) {
this.timeAvg = timeAvg;
}
public Long getTimeoutCnt() {
return timeoutCnt;
}
public void setTimeoutCnt(Long timeoutCnt) {
this.timeoutCnt = timeoutCnt;
}
public Long getStatsPeriod() {
return statsPeriod;
}
public void setStatsPeriod(Long statsPeriod) {
this.statsPeriod = statsPeriod;
}
public TimeStamp getCrtTime() {
return crtTime;
}
public void setCrtTime(TimeStamp crtTime) {
this.crtTime = crtTime;
}
}
package com.hp.cmsz.entity;
import org.apache.commons.net.ntp.TimeStamp;
import javax.persistence.*;
import java.io.Serializable;
/**
* app_sm_db_province_kpi_t表对应的实体类
*
* @author Liu Na
*
*/
@Entity
@Table(name = "app_sm_db_province_kpi_t",schema = "ccolap")
public class FlowMonitorCator implements Serializable {
private Long batchId;
private TimeStamp statsTime;
private String province;
private Long activeAccountCnt;
private Long time1AccountCnt;//无法使用坐席数
private Long time2AccountCnt;//可容忍坐席数
private Long time3AccountCnt;//不满意坐席数
private Long statsPeriod;
private TimeStamp crtTime;
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
public Long getBatchId() {
return batchId;
}
public void setBatchId(Long batchId) {
this.batchId = batchId;
}
public TimeStamp getStatsTime() {
return statsTime;
}
public void setStatsTime(TimeStamp statsTime) {
this.statsTime = statsTime;
}
public String getProvince() {
return province;
}
public void setProvince(String province) {
this.province = province;
}
public Long getActiveAccountCnt() {
return activeAccountCnt;
}
public void setActiveAccountCnt(Long activeAccountCnt) {
this.activeAccountCnt = activeAccountCnt;
}
public Long getTime1AccountCnt() {
return time1AccountCnt;
}
public void setTime1AccountCnt(Long time1AccountCnt) {
this.time1AccountCnt = time1AccountCnt;
}
public Long getTime2AccountCnt() {
return time2AccountCnt;
}
public void setTime2AccountCnt(Long time2AccountCnt) {
this.time2AccountCnt = time2AccountCnt;
}
public Long getTime3AccountCnt() {
return time3AccountCnt;
}
public void setTime3AccountCnt(Long time3AccountCnt) {
this.time3AccountCnt = time3AccountCnt;
}
public Long getStatsPeriod() {
return statsPeriod;
}
public void setStatsPeriod(Long statsPeriod) {
this.statsPeriod = statsPeriod;
}
public TimeStamp getCrtTime() {
return crtTime;
}
public void setCrtTime(TimeStamp crtTime) {
this.crtTime = crtTime;
}
}
package com.hp.cmsz.entity;
import org.apache.commons.net.ntp.TimeStamp;
import javax.persistence.*;
import java.io.Serializable;
/**
* ccolap.app_sm_db_server_kpi_t表对应的实体类
*
* @author Liu Na
*
*/
@Entity
@Table(name = "app_sm_db_server_kpi_t",schema = "CCOLAP")
public class FlowServer implements Serializable {
private Long batchId;
private TimeStamp statsTime;
private String province;
private String serverIp;
private Long activeAccountCnt;
private Long transCnt;
private Long transAvg;
private Long transAvail;
private Long s10xCnt;
private Long s20xCnt;
private Long s30xCnt;
private Long s40xCnt;
private Long s50xCnt;
private Long sotherCnt;
private Long statsPeriod;
private TimeStamp crtTime;
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
public Long getBatchId() {
return batchId;
}
public void setBatchId(Long batchId) {
this.batchId = batchId;
}
public TimeStamp getStatsTime() {
return statsTime;
}
public void setStatsTime(TimeStamp statsTime) {
this.statsTime = statsTime;
}
public String getProvince() {
return province;
}
public void setProvince(String province) {
this.province = province;
}
public String getServerIp() {
return serverIp;
}
public void setServerIp(String serverIp) {
this.serverIp = serverIp;
}
public Long getActiveAccountCnt() {
return activeAccountCnt;
}
public void setActiveAccountCnt(Long activeAccountCnt) {
this.activeAccountCnt = activeAccountCnt;
}
public Long getTransCnt() {
return transCnt;
}
public void setTransCnt(Long transCnt) {
this.transCnt = transCnt;
}
public Long getTransAvg() {
return transAvg;
}
public void setTransAvg(Long transAvg) {
this.transAvg = transAvg;
}
public Long getTransAvail() {
return transAvail;
}
public void setTransAvail(Long transAvail) {
this.transAvail = transAvail;
}
public Long getS10xCnt() {
return s10xCnt;
}
public void setS10xCnt(Long s10xCnt) {
this.s10xCnt = s10xCnt;
}
public Long getS20xCnt() {
return s20xCnt;
}
public void setS20xCnt(Long s20xCnt) {
this.s20xCnt = s20xCnt;
}
public Long getS30xCnt() {
return s30xCnt;
}
public void setS30xCnt(Long s30xCnt) {
this.s30xCnt = s30xCnt;
}
public Long getS40xCnt() {
return s40xCnt;
}
public void setS40xCnt(Long s40xCnt) {
this.s40xCnt = s40xCnt;
}
public Long getS50xCnt() {
return s50xCnt;
}
public void setS50xCnt(Long s50xCnt) {
this.s50xCnt = s50xCnt;
}
public Long getSotherCnt() {
return sotherCnt;
}
public void setSotherCnt(Long sotherCnt) {
this.sotherCnt = sotherCnt;
}
public Long getStatsPeriod() {
return statsPeriod;
}
public void setStatsPeriod(Long statsPeriod) {
this.statsPeriod = statsPeriod;
}
public TimeStamp getCrtTime() {
return crtTime;
}
public void setCrtTime(TimeStamp crtTime) {
this.crtTime = crtTime;
}
}
package com.hp.cmsz.repository;
import com.hp.cmsz.entity.FlowAccount;
import org.springframework.data.jpa.repository.JpaSpecificationExecutor;
import org.springframework.data.jpa.repository.Query;
import org.springframework.data.repository.PagingAndSortingRepository;
import java.util.List;
public interface FlowAccountDao extends PagingAndSortingRepository<FlowAccount,Long>,JpaSpecificationExecutor<FlowAccount> {
//坐席分析前TOP10
@Query(value="SELECT ACCOUNT,TRANS_CNT,TRANS_AVAIL_CNT,TRANS_TIME_AVG FROM (SELECT ACCOUNT,TRANS_CNT,TRANS_AVAIL_CNT,TRANS_TIME_AVG,RANK()OVER(ORDER BY STATS_TIME DESC) AS RANK FROM CCOLAP.app_sm_db_account_kpi_250_t)A WHERE RANK=1 ORDER BY TRANS_CNT DESC LIMIT 10", nativeQuery=true)
List<Object[]> seatAnalysisTop();
//坐席分析后TOP10
@Query(value="SELECT ACCOUNT,TRANS_CNT,TRANS_AVAIL_CNT,TRANS_TIME_AVG FROM (SELECT ACCOUNT,TRANS_CNT,TRANS_AVAIL_CNT,TRANS_TIME_AVG,RANK()OVER(ORDER BY STATS_TIME DESC) AS RANK FROM CCOLAP.app_sm_db_account_kpi_250_t)A WHERE RANK=1 ORDER BY TRANS_CNT LIMIT 10", nativeQuery=true)
List<Object[]> seatAnalysisLast();
//坐席*接待客户分析实时(TIME1_MOBILE_CNT:无法使用客户数 TIME2_MOBILE_CNT:可容忍客户数 TIME3_MOBILE_CNT:不满意客户数)
@Query(value="select STATS_TIME,sum(TIME1_MOBILE_CNT) as TIME1_MOBILE_CNT,sum(TIME2_MOBILE_CNT) as TIME2_MOBILE_CNT,sum(TIME3_MOBILE_CNT) as TIME3_MOBILE_CNT from ccolap.app_sm_db_account_kpi_250_t where STATS_TIME>=now()-34/24 and STATS_TIME<now()-4/24 group by STATS_TIME order by STATS_TIME", nativeQuery=true)
List<Object[]> seatsReceptionUser();
//坐席*接待客户分析当月1号到当前时间(TIME1_MOBILE_CNT:无法使用客户数 TIME2_MOBILE_CNT:可容忍客户数 TIME3_MOBILE_CNT:不满意客户数)
@Query(value="select trunc(STATS_TIME) as STATS_TIME,sum(TIME1_MOBILE_CNT) as TIME1_MOBILE_CNT,sum(TIME2_MOBILE_CNT) as TIME2_MOBILE_CNT,sum(TIME3_MOBILE_CNT) as TIME3_MOBILE_CNT from ccolap.app_sm_db_account_kpi_250_t where STATS_TIME>=trunc(sysdate,'mm') group by trunc(STATS_TIME) order by STATS_TIME", nativeQuery=true)
List<Object[]> seatsReceptionUserMonth();
}
package com.hp.cmsz.repository;
import com.hp.cmsz.entity.FlowBrowser;
import org.springframework.data.jpa.repository.JpaSpecificationExecutor;
import org.springframework.data.jpa.repository.Query;
import org.springframework.data.repository.PagingAndSortingRepository;
import java.util.List;
public interface FlowBrowserDao extends PagingAndSortingRepository<FlowBrowser,Long>,JpaSpecificationExecutor<FlowBrowser> {
//服务器相关情况分析:客户端兼容性分析实时
@Query(value="select BROWSER,ACTIVE_ACCOUNT_CNT,TRANS_CNT,TRANS_AVAIL from (select BROWSER,ACTIVE_ACCOUNT_CNT,TRANS_CNT,TRANS_AVAIL*100 as TRANS_AVAIL,rank()over(order by STATS_TIME desc) as rank from ccolap.app_sm_db_browser_kpi_t where STATS_TIME>=trunc(sysdate))a where rank=1 order by TRANS_AVAIL desc limit 10", nativeQuery=true)
List<Object[]> clientCompatibility();
//服务器相关情况分析:客户端兼容性分析当月1号到当前时间
@Query(value="select BROWSER,sum(ACTIVE_ACCOUNT_CNT) as ACTIVE_ACCOUNT_CNT,sum(TRANS_CNT) as TRANS_CNT,round(avg(TRANS_AVAIL*100),2) as TRANS_AVAIL from ccolap.app_sm_db_browser_kpi_t where STATS_TIME>=trunc(sysdate,'mm') group by BROWSER order by TRANS_AVAIL desc limit 10", nativeQuery=true)
List<Object[]> clientCompatibilityMonth();
//服务器相关情况分析:HTTP状态码分析(数据中没有'代码号'字段)实时
@Query(value="select SERVER_IP,SOTHER_CNT from (select SERVER_IP,SOTHER_CNT,rank()over(order by STATS_TIME desc) as rank from ccolap.app_sm_db_server_kpi_t where STATS_TIME>=trunc(sysdate))a where rank=1 order by SOTHER_CNT desc limit 10", nativeQuery=true)
List<Object[]> httpInformation();
//服务器相关情况分析:HTTP状态码分析(数据中没有'代码号'字段)当月1号到当前时间
@Query(value="select SERVER_IP,sum(SOTHER_CNT) as SOTHER_CNT from ccolap.app_sm_db_server_kpi_t where STATS_TIME>=trunc(sysdate,'mm') group by SERVER_IP order by SOTHER_CNT desc limit 10", nativeQuery=true)
List<Object[]> httpInformationMonth();
}
package com.hp.cmsz.repository;
import com.hp.cmsz.entity.FlowClient;
import org.springframework.data.jpa.repository.JpaSpecificationExecutor;
import org.springframework.data.jpa.repository.Query;
import org.springframework.data.repository.PagingAndSortingRepository;
import java.util.List;
public interface FlowClientDao extends PagingAndSortingRepository<FlowClient,Long>,JpaSpecificationExecutor<FlowClient> {
//用户IP分析:TOP10实时
@Query(value="select CLIENT_IP,TRANS_CNT,MOBILE_CNT,cast (round(TRANS_AVAIL_CNT/TRANS_CNT*100,2) as numeric (18,2)) as RATE,cast (TRANS_TIME_SUM/TRANS_CNT as numeric (18,2))as TIME_AVG from (select CLIENT_IP,TRANS_CNT,MOBILE_CNT,TRANS_AVAIL_CNT,TRANS_TIME_SUM,rank()over(order by STATS_TIME desc) as rank from ccolap.app_sm_db_client_kpi_250_t where STATS_TIME>=trunc(sysdate))a where rank =1 order by TRANS_CNT desc limit 10", nativeQuery=true)
List<Object[]> userIp();
//用户IP分析:TOP10当月1号到当前时间
@Query(value="select CLIENT_IP,TRANS_CNT,MOBILE_CNT,cast (round(TRANS_AVAIL_CNT/TRANS_CNT*100,2) as numeric (18,2)) as RATE,cast (TRANS_TIME_SUM/TRANS_CNT as numeric (18,2))as TIME_AVG from ccolap.app_sm_db_client_kpi_250_t where STATS_TIME>=trunc(sysdate,'mm') order by TRANS_CNT desc limit 10", nativeQuery=true)
List<Object[]> userIpMonth();
//用户IP业务分布:TOP10实时
@Query(value="SELECT \n" +
"sum(decode(TRANS_NAME_NEW,'宽带开户',cnt1,0)) as CNT1," +
"sum(decode(TRANS_NAME_NEW,'资料变更',cnt1,0)) as CNT2," +
"sum(decode(TRANS_NAME_NEW,'产品变更',cnt1,0)) as CNT3," +
"sum(decode(TRANS_NAME_NEW,'套餐变更',cnt1,0)) as CNT4," +
"sum(decode(TRANS_NAME_NEW,'综合账单查询',cnt1,0)) as CNT5," +
"sum(decode(TRANS_NAME_NEW,'充值缴费',cnt1,0)) as CNT6," +
"sum(decode(TRANS_NAME_NEW,'资金变化查询',cnt1,0)) as CNT7," +
"sum(decode(TRANS_NAME_NEW,'详单查询',cnt1,0)) as CNT8," +
"sum(decode(TRANS_NAME_NEW,'积分查询',cnt1,0)) as CNT9," +
"sum(decode(TRANS_NAME_NEW,'其他',cnt1,0)) as CNT10," +
"CLIENT_IP,CNT from" +
" (SELECT A.CLIENT_IP,TRANS_NAME_NEW,cnt1,cnt FROM " +
"(SELECT CLIENT_IP,TRANS_NAME_NEW,sum(TRANS_CNT) as cnt1 FROM " +
"(select CLIENT_IP,TRANS_CNT,TRANS_NAME_NEW," +
"rank()over(order by STATS_TIME desc) as rank from ccolap.app_sm_db_client_kpi_250_t where STATS_TIME>=trunc(sysdate))a " +
"WHERE rank=1 group by CLIENT_IP,TRANS_NAME_NEW)A," +
"(SELECT CLIENT_IP,sum(TRANS_CNT) as CNT FROM " +
"(select CLIENT_IP,TRANS_CNT," +
"rank()over(order by STATS_TIME desc) as rank from ccolap.app_sm_db_client_kpi_250_t where STATS_TIME>=trunc(sysdate))a " +
"WHERE rank=1 group by CLIENT_IP ORDER BY CNT DESC LIMIT 10)B WHERE A.CLIENT_IP=B.CLIENT_IP)A group by CLIENT_IP,CNT ORDER BY CNT DESC", nativeQuery=true)
List<Object[]> ipBusiness();
//用户IP业务分布:TOP10当月1号到当前时间
@Query(value="SELECT \n" +
"sum(decode(TRANS_NAME_NEW,'宽带开户',cnt1,0)) as CNT1," +
"sum(decode(TRANS_NAME_NEW,'资料变更',cnt1,0)) as CNT2," +
"sum(decode(TRANS_NAME_NEW,'产品变更',cnt1,0)) as CNT3," +
"sum(decode(TRANS_NAME_NEW,'套餐变更',cnt1,0)) as CNT4," +
"sum(decode(TRANS_NAME_NEW,'综合账单查询',cnt1,0)) as CNT5," +
"sum(decode(TRANS_NAME_NEW,'充值缴费',cnt1,0)) as CNT6," +
"sum(decode(TRANS_NAME_NEW,'资金变化查询',cnt1,0)) as CNT7," +
"sum(decode(TRANS_NAME_NEW,'详单查询',cnt1,0)) as CNT8," +
"sum(decode(TRANS_NAME_NEW,'积分查询',cnt1,0)) as CNT9," +
"sum(decode(TRANS_NAME_NEW,'其他',cnt1,0)) as CNT10," +
"CLIENT_IP,CNT from" +
" (SELECT A.CLIENT_IP,TRANS_NAME_NEW,cnt1,cnt FROM " +
"(SELECT CLIENT_IP,TRANS_NAME_NEW,sum(TRANS_CNT) as cnt1 FROM " +
"ccolap.app_sm_db_client_kpi_250_t where STATS_TIME>=trunc(sysdate,'mm') " +
"group by CLIENT_IP,TRANS_NAME_NEW)A," +
"(SELECT CLIENT_IP,sum(TRANS_CNT) as CNT FROM " +
"(select CLIENT_IP,TRANS_CNT," +
"rank()over(order by STATS_TIME desc) as rank from ccolap.app_sm_db_client_kpi_250_t where STATS_TIME>=trunc(sysdate))a " +
"WHERE rank=1 group by CLIENT_IP ORDER BY CNT DESC LIMIT 10)B WHERE A.CLIENT_IP=B.CLIENT_IP)A group by CLIENT_IP,CNT ORDER BY CNT DESC", nativeQuery=true)
List<Object[]> ipBusinessMonth();
//用户IP趋势分析:确定ip:
@Query(value="SELECT CLIENT_IP from (SELECT CLIENT_IP,sum(TRANS_CNT) as CNT FROM ccolap.app_sm_db_client_kpi_250_t where STATS_TIME>=now()-34/24 and STATS_TIME<now()-4/24 group by CLIENT_IP ORDER BY CNT DESC LIMIT 6)a", nativeQuery=true)
List<String> findIp();
//用户IP趋势分析:趋势图实时
@Query(value="select sum(TRANS_CNT) as CNT,CLIENT_IP,STATS_TIME as time from ccolap.app_sm_db_client_kpi_250_t where STATS_TIME>=now()-34/24 and STATS_TIME<now()-4/24 and CLIENT_IP =(?1) group by CLIENT_IP,STATS_TIME order by STATS_TIME", nativeQuery=true)
List<Object[]> ipTrend(String ipList);
//用户IP趋势分析:趋势图当月1号到当前时间
@Query(value="select sum(TRANS_CNT) as CNT,CLIENT_IP,trunc(STATS_TIME,'dd') as time from ccolap.app_sm_db_client_kpi_250_t where STATS_TIME>=trunc(sysdate,'mm') and CLIENT_IP=(?1) group by CLIENT_IP,time order by time", nativeQuery=true)
List<Object[]> ipTrendMonth(String ipList);
}
package com.hp.cmsz.repository;
import com.hp.cmsz.entity.FlowHallBusiness;
import org.springframework.data.jpa.repository.JpaSpecificationExecutor;
import org.springframework.data.jpa.repository.Query;
import org.springframework.data.repository.PagingAndSortingRepository;
import java.util.List;
public interface FlowHallBusinessDao extends PagingAndSortingRepository<FlowHallBusiness,Long>,JpaSpecificationExecutor<FlowHallBusiness> {
//营业厅业务量分析查找营业厅
@Query(value="select hall from (select sum(trans_cnt) as cnt,HALL from ccolap.app_sm_db_hall_kpi_250_t where STATS_TIME>=now()-34/24 group by HALL order by cnt desc limit 5)a", nativeQuery=true)
List<String> hall();
//营业厅业务量分析查找营业厅当月
@Query(value="select hall from (select sum(trans_cnt) as cnt,HALL from ccolap.app_sm_db_hall_kpi_250_t where STATS_TIME>=trunc(sysdate,'mm') group by HALL order by cnt desc limit 5)a", nativeQuery=true)
List<String> hallMonth();
// 实时
@Query(value="select sum(TRANS_CNT) as TRANS_CNT,HALL,STATS_TIME from ccolap.app_sm_db_hall_kpi_250_t where STATS_TIME>=now()-34/24 and STATS_TIME<now()-4/24 and hall =(?1) group by HALL,STATS_TIME order by STATS_TIME;", nativeQuery=true)
List<Object[]> businessOffice(String hall);
//营业厅业务量分析当月1号到当前时间
@Query(value="select sum(TRANS_CNT) as TRANS_CNT,HALL,TRUNC(STATS_TIME) as STATS_TIME from ccolap.app_sm_db_hall_kpi_250_t where STATS_TIME>=trunc(sysdate,'mm') and HALL =(?1) group by trunc(STATS_TIME),HALL order by STATS_TIME;", nativeQuery=true)
List<Object[]> businessOfficeMonth(String hall);
}
package com.hp.cmsz.repository;
import com.hp.cmsz.entity.FlowMonitorCator;
import org.springframework.data.jpa.repository.JpaSpecificationExecutor;
import org.springframework.data.jpa.repository.Query;
import org.springframework.data.repository.PagingAndSortingRepository;
import java.util.List;
public interface FlowMonitorCatonDao extends PagingAndSortingRepository<FlowMonitorCator,Long>,JpaSpecificationExecutor<FlowMonitorCator> {
//营业厅卡顿及业务量分析营业厅卡顿用户数实时(ACTIVE_ACCOUNT_CNT:全部活跃用户数 TIME1_ACCOUNT_CNT:无法使用坐席数 TIME2_ACCOUNT_CNT:可容忍坐席数 TIME3_ACCOUNT_CNT:不满意坐席数)
@Query(value="select STATS_TIME, sum(TIME1_ACCOUNT_CNT) as TIME1_ACCOUNT_CNT,sum(TIME2_ACCOUNT_CNT) as TIME2_ACCOUNT_CNT,sum(TIME3_ACCOUNT_CNT) as TIME3_ACCOUNT_CNT from ccolap.app_sm_db_province_kpi_t where STATS_TIME>=now()-34/24 and STATS_TIME<now()-4/24 group by STATS_TIME order by STATS_TIME", nativeQuery=true)
List<Object[]> catonUser();
//营业厅卡顿及业务量分析营业厅卡顿用户数当月1号到当前时间
@Query(value="select trunc(STATS_TIME) as STATS_TIME,sum(TIME1_ACCOUNT_CNT) as TIME1_ACCOUNT_CNT,sum(TIME2_ACCOUNT_CNT) as TIME2_ACCOUNT_CNT,sum(TIME3_ACCOUNT_CNT) as TIME3_ACCOUNT_CNT from ccolap.app_sm_db_province_kpi_t where STATS_TIME>=trunc(sysdate,'mm') group by trunc(STATS_TIME) order by STATS_TIME", nativeQuery=true)
List<Object[]> catonUserMonth();
}
package com.hp.cmsz.repository;
import com.hp.cmsz.entity.FlowMonitor;
import org.springframework.data.jpa.repository.JpaSpecificationExecutor;
import org.springframework.data.jpa.repository.Query;
import org.springframework.data.repository.PagingAndSortingRepository;
import java.util.List;
public interface FlowMonitorDao extends PagingAndSortingRepository<FlowMonitor,Long>,JpaSpecificationExecutor<FlowMonitor> {
//地市坐席活跃度分析实时
@Query(value="select CITY,cast (round(sum(ACTIVE_ACCOUNT_CNT)/sum(TRANS_CNT)*100,2) as numeric (18,2)) as percent from (select TRANS_CNT,ACTIVE_ACCOUNT_CNT,CITY,rank()over(order by STATS_TIME desc) as rank from ccolap.app_sm_db_city_kpi_t where STATS_TIME>=trunc(sysdate))a where rank=1 group by CITY order by percent desc", nativeQuery=true)
List<Object[]> seatsActiveness();
//地市坐席活跃度分析当月1号到当前时间
@Query(value="select CITY,cast (round(sum(ACTIVE_ACCOUNT_CNT)/sum(TRANS_CNT)*100,2) as numeric (18,2)) as percent from ccolap.app_sm_db_city_kpi_t where STATS_TIME>=trunc(sysdate,'mm') group by CITY order by percent desc", nativeQuery=true)
List<Object[]> seatsActivenessMonth();
//地市性能稳定率分析实时(Q1:最小值,Q2:下四分位数,Q3:中位数,Q4:上四分位数,Q5:最大值,L1:下边缘值,L5:上边缘值)
@Query(value="SELECT A.CITY,L1,Q2,Q3,Q4,L5,PERCENT FROM\n" +
"(select distinct\n" +
"Q4+1.5*(Q4-Q2) AS L5,--上边缘值\n" +
"Q2-1.5*(Q4-Q2) AS L1,--下边缘值\n" +
"Q2,Q3,Q4,CITY from(SELECT \n" +
"PERCENTILE_CONT(0) WITHIN GROUP (ORDER BY TIME_AVG) over (PARTITION BY CITY) AS Q1,--最小值\n" +
"PERCENTILE_CONT(.25) WITHIN GROUP (ORDER BY TIME_AVG) over (PARTITION BY CITY) AS Q2,--下四分位数\n" +
"PERCENTILE_CONT(.5) WITHIN GROUP (ORDER BY TIME_AVG) over (PARTITION BY CITY) AS Q3,--中位数\n" +
"PERCENTILE_CONT(.75) WITHIN GROUP (ORDER BY TIME_AVG) over (PARTITION BY CITY) AS Q4,--上四分位数\n" +
"PERCENTILE_CONT(1) WITHIN GROUP (ORDER BY TIME_AVG) over (PARTITION BY CITY) AS Q5,--最大值\n" +
"CITY from (select TIME_AVG,CITY from\n" +
"(select TIME_AVG,CITY,rank()over(order by STATS_TIME desc) as rank\n" +
"from ccolap.app_sm_db_city_kpi_t )a where rank=1)a)b)A,\n" +
"(select cast (round(sum(TIMEOUT_CNT)/sum(TRANS_CNT)*100,2) as numeric (18,2)) as percent,CITY from\n" +
"(select TRANS_CNT,TIMEOUT_CNT,CITY,rank()over(order by STATS_TIME desc) as rank\n" +
"from ccolap.app_sm_db_city_kpi_t )a where rank=1 group by CITY)B WHERE A.CITY=B.CITY ORDER BY PERCENT DESC", nativeQuery=true)
List<Object[]> performanceStability();
//地市性能稳定率分析当月1号到当前时间(Q1:最小值,Q2:下四分位数,Q3:中位数,Q4:上四分位数,Q5:最大值,L1:下边缘值,L5:上边缘值)
@Query(value="SELECT A.CITY,L1,Q2,Q3,Q4,L5,PERCENT FROM\n" +
"(select distinct\n" +
"Q4+1.5*(Q4-Q2) AS L5,--上边缘值\n" +
"Q2-1.5*(Q4-Q2) AS L1,--下边缘值\n" +
"Q2,Q3,Q4,CITY from(SELECT \n" +
"PERCENTILE_CONT(0) WITHIN GROUP (ORDER BY TIME_AVG) over (PARTITION BY CITY) AS Q1,--最小值\n" +
"PERCENTILE_CONT(.25) WITHIN GROUP (ORDER BY TIME_AVG) over (PARTITION BY CITY) AS Q2,--下四分位数\n" +
"PERCENTILE_CONT(.5) WITHIN GROUP (ORDER BY TIME_AVG) over (PARTITION BY CITY) AS Q3,--中位数\n" +
"PERCENTILE_CONT(.75) WITHIN GROUP (ORDER BY TIME_AVG) over (PARTITION BY CITY) AS Q4,--上四分位数\n" +
"PERCENTILE_CONT(1) WITHIN GROUP (ORDER BY TIME_AVG) over (PARTITION BY CITY) AS Q5,--最大值\n" +
"CITY from (select TIME_AVG,CITY from\n" +
"ccolap.app_sm_db_city_kpi_t where STATS_TIME>=trunc(sysdate,'mm'))a)b)A,\n" +
"(select cast (round(sum(TIMEOUT_CNT)/sum(TRANS_CNT)*100,2) as numeric (18,2)) as percent,CITY \n" +
"from ccolap.app_sm_db_city_kpi_t where STATS_TIME>=trunc(sysdate,'mm') group by CITY)B WHERE A.CITY=B.CITY ORDER BY PERCENT DESC", nativeQuery=true)
List<Object[]> performanceStabilityMonth();
}
package com.hp.cmsz.repository;
import com.hp.cmsz.entity.FlowServer;
import org.springframework.data.jpa.repository.JpaSpecificationExecutor;
import org.springframework.data.jpa.repository.Query;
import org.springframework.data.repository.PagingAndSortingRepository;
import java.util.List;
public interface FlowServerDao extends PagingAndSortingRepository<FlowServer,Long>,JpaSpecificationExecutor<FlowServer> {
//服务器相关情况分析:服务器实例分析实时
@Query(value = "select SERVER_IP,TRANS_AVAIL,TRANS_AVG,TRANS_CNT,ACTIVE_ACCOUNT_CNT from (select SERVER_IP,TRANS_AVAIL*100 as TRANS_AVAIL,TRANS_AVG,TRANS_CNT,ACTIVE_ACCOUNT_CNT,rank()over(order by STATS_TIME desc) as rank from ccolap.app_sm_db_server_kpi_t where STATS_TIME>=trunc(sysdate))a where rank=1 order by TRANS_AVAIL desc limit 10", nativeQuery = true)
List<Object[]> serverExample();
//服务器相关情况分析:服务器实例分析当月1号到当前时间
@Query(value = "select SERVER_IP,round(avg(TRANS_AVAIL*100),2) as TRANS_AVAIL,round(avg(TRANS_AVG),2) as TRANS_AVG,sum(TRANS_CNT) as TRANS_CNT,sum(ACTIVE_ACCOUNT_CNT) as ACTIVE_ACCOUNT_CNT from ccolap.app_sm_db_server_kpi_t where STATS_TIME>=trunc(sysdate,'mm') group by SERVER_IP order by TRANS_AVAIL desc limit 10", nativeQuery = true)
List<Object[]> serverExampleMonth();
}
......@@ -2,13 +2,22 @@ package com.hp.cmsz.web.monitoroperation;
import com.google.gson.Gson;
import com.hp.cmsz.entity.Province;
import com.hp.cmsz.repository.ProvinceDao;
import com.hp.cmsz.repository.*;
import com.hp.cmsz.service.CmszOperationLogService;
import com.hp.cmsz.web.PageURLController;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.ResponseBody;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import java.io.IOException;
import java.io.PrintWriter;
import java.io.UnsupportedEncodingException;
import java.text.ParseException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
......@@ -25,6 +34,30 @@ public class FlowMonitorController {
@Autowired
private ProvinceDao provinceDao;
@Autowired
private FlowMonitorDao flowMonitorDao;
@Autowired
private FlowMonitorCatonDao flowMonitorCatonDao;
@Autowired
private FlowHallBusinessDao flowHallBusinessDao;
@Autowired
private FlowAccountDao flowAccountDao;
@Autowired
private FlowClientDao flowClientDao;
@Autowired
private FlowServerDao flowServerDao;
@Autowired
private FlowBrowserDao flowBrowserDao;
@Autowired
private CmszOperationLogService cmszOperationLogService;
@RequestMapping(method = RequestMethod.GET)
public String FlowMonitor(Map model) {
......@@ -35,4 +68,247 @@ public class FlowMonitorController {
model.put("provinceList", provinceList);
return PageURLController.FlowMonitor;
}
//地市坐席活跃度分析
@RequestMapping(value = "/seatsActiveness",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findSeatsActiveness(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> seatsActivenessList = new ArrayList<Object[]>();
seatsActivenessList = flowMonitorDao.seatsActiveness();
return seatsActivenessList;
}
//地市坐席活跃度分析当月
@RequestMapping(value = "/seatsActivenessMonth",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findSeatsActivenessMonth(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> seatsActivenessMonthList = new ArrayList<Object[]>();
seatsActivenessMonthList = flowMonitorDao.seatsActivenessMonth();
return seatsActivenessMonthList;
}
//地市性能稳定率分析
@RequestMapping(value = "/performanceStability",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findPerformanceStability(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> performanceStabilityList = new ArrayList<Object[]>();
performanceStabilityList = flowMonitorDao.performanceStability();
return performanceStabilityList;
}
//地市性能稳定率分析当月
@RequestMapping(value = "/performanceStabilityMonth",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findPerformanceStabilityMonth(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> performanceStabilityMonthList = new ArrayList<Object[]>();
performanceStabilityMonthList = flowMonitorDao.performanceStabilityMonth();
return performanceStabilityMonthList;
}
//营业厅卡顿用户数
@RequestMapping(value = "/catonUser",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findCatonUser(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> catonUserList = new ArrayList<Object[]>();
catonUserList = flowMonitorCatonDao.catonUser();
return catonUserList;
}
//营业厅卡顿用户数当月
@RequestMapping(value = "/catonUserMonth",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findCatonUserMonth(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> catonUserMonthList = new ArrayList<Object[]>();
catonUserMonthList = flowMonitorCatonDao.catonUserMonth();
return catonUserMonthList;
}
//坐席分析前top10
@RequestMapping(value = "/seatAnalysisTop",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findBusinessPerformanceTop(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> seatAnalysisTopList = new ArrayList<Object[]>();
seatAnalysisTopList = flowAccountDao.seatAnalysisTop();
return seatAnalysisTopList;
}
//坐席分析后top10
@RequestMapping(value = "/seatAnalysisLast",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findBusinessPerformanceLast(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> seatAnalysisLastList = new ArrayList<Object[]>();
seatAnalysisLastList = flowAccountDao.seatAnalysisLast();
return seatAnalysisLastList;
}
//营业厅业务量分析
@RequestMapping(value = "/businessOffice",method = RequestMethod.GET)
@ResponseBody
public List<List<Object[]>> findBusinessOffice(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> businessOfficeList = new ArrayList<Object[]>();
List<List<Object[]>> list = new ArrayList<List<Object[]>>();
List<String> hallList = new ArrayList<String>();
hallList = flowHallBusinessDao.hall();
for(String hall : hallList){
businessOfficeList = flowHallBusinessDao.businessOffice(hall);
list.add(businessOfficeList);
}
return list;
}
//营业厅业务量分析当月
@RequestMapping(value = "/businessOfficeMonth",method = RequestMethod.GET)
@ResponseBody
public List<List<Object[]>> findBusinessOfficeMonth(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> businessOfficeMonthList = new ArrayList<Object[]>();
List<String> hallList = new ArrayList<String>();
List<List<Object[]>> list = new ArrayList<List<Object[]>>();
hallList = flowHallBusinessDao.hallMonth();
for(String hall : hallList) {
businessOfficeMonthList = flowHallBusinessDao.businessOfficeMonth(hall);
list.add(businessOfficeMonthList);
}
return list;
}
//坐席*接待客户分析
@RequestMapping(value = "/seatsReceptionUser",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findSeatsReceptionUser(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> seatsReceptionUserList = new ArrayList<Object[]>();
seatsReceptionUserList = flowAccountDao.seatsReceptionUser();
return seatsReceptionUserList;
}
//坐席*接待客户分析当月
@RequestMapping(value = "/seatsReceptionUserMonth",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findSeatsReceptionUserMonth(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> seatsReceptionUserMonthList = new ArrayList<Object[]>();
seatsReceptionUserMonthList = flowAccountDao.seatsReceptionUserMonth();
return seatsReceptionUserMonthList;
}
//用户IP分析:TOP10
@RequestMapping(value = "/userIp",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findUserIp(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> userIpList = new ArrayList<Object[]>();
userIpList = flowClientDao.userIp();
return userIpList;
}
//用户IP分析:TOP10当月
@RequestMapping(value = "/userIpMonth",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findUserIpMonth(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> userIpMonthList = new ArrayList<Object[]>();
userIpMonthList = flowClientDao.userIpMonth();
return userIpMonthList;
}
//用户IP业务分布:TOP10
@RequestMapping(value = "/ipBusiness",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findIpBusiness(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> ipBusinessList = new ArrayList<Object[]>();
ipBusinessList = flowClientDao.ipBusiness();
return ipBusinessList;
}
//用户IP业务分布:TOP10当月
@RequestMapping(value = "/ipBusinessMonth",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findIpBusinessMonth(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> ipBusinessMonthList = new ArrayList<Object[]>();
ipBusinessMonthList = flowClientDao.ipBusinessMonth();
return ipBusinessMonthList;
}
//用户IP趋势图
@RequestMapping(value = "/ipTrend",method = RequestMethod.GET)
@ResponseBody
public List<List<Object[]>> findIpTrend(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<String> ipList = new ArrayList<String>();
List<List<Object[]>> list = new ArrayList<List<Object[]>>();
ipList = flowClientDao.findIp();
for(String ip : ipList){
System.out.println("123");
List<Object[]> ipTrendList = flowClientDao.ipTrend(ip);
list.add(ipTrendList);
}
return list;
}
//用户IP趋势图当月
@RequestMapping(value = "/ipTrendMonth",method = RequestMethod.GET)
@ResponseBody
public List<List<Object[]>> findIpTrendMonth(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<String> ipList = new ArrayList<String>();
List<List<Object[]>> list = new ArrayList<List<Object[]>>();
List<Object[]> ipTrendMonthList = new ArrayList<Object[]>();
ipList = flowClientDao.findIp();
for(String ip : ipList){
ipTrendMonthList = flowClientDao.ipTrendMonth(ip);
list.add(ipTrendMonthList);
}
return list;
}
//服务器实例分析:
@RequestMapping(value = "/serverExample",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findServerExample(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> serverExampleList = new ArrayList<Object[]>();
serverExampleList = flowServerDao.serverExample();
return serverExampleList;
}
//服务器实例分析当月:
@RequestMapping(value = "/serverExampleMonth",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findServerExampleMonth(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> serverExampleMonthList = new ArrayList<Object[]>();
serverExampleMonthList = flowServerDao.serverExampleMonth();
return serverExampleMonthList;
}
//客户端兼容性分析:
@RequestMapping(value = "/clientCompatibility",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findClientCompatibility(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> clientCompatibilityList = new ArrayList<Object[]>();
clientCompatibilityList = flowBrowserDao.clientCompatibility();
return clientCompatibilityList;
}
//客户端兼容性分析当月:
@RequestMapping(value = "/clientCompatibilityMonth",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findClientCompatibilityMonth(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> clientCompatibilityMonthList = new ArrayList<Object[]>();
clientCompatibilityMonthList = flowBrowserDao.clientCompatibilityMonth();
return clientCompatibilityMonthList;
}
//HTTP状态码分析:
@RequestMapping(value = "/httpInformation",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findHttpInformation(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> httpInformationList = new ArrayList<Object[]>();
httpInformationList = flowBrowserDao.httpInformation();
return httpInformationList;
}
//HTTP状态码分析当月:
@RequestMapping(value = "/httpInformationMonth",method = RequestMethod.GET)
@ResponseBody
public List<Object[]> findHttpInformationMonth(HttpServletRequest request, HttpServletResponse response) throws ParseException, UnsupportedEncodingException {
List<Object[]> httpInformationMonthList = new ArrayList<Object[]>();
httpInformationMonthList = flowBrowserDao.httpInformationMonth();
return httpInformationMonthList;
}
}
......@@ -114,7 +114,7 @@
<ul class="dropdown-menu">
<li><a href="${ctx}/MonitorOperation/RegularityAnalysis">数据特征探查</a></li>
<li><a href="${ctx}/MonitorOperation/KeyLinkProcessAnalysis">业务环节分析</a></li>
<%--<li><a href="${ctx}/MonitorOperation/FlowMonitor">实体厅流量监测分析</a></li>--%>
<li><a href="${ctx}/MonitorOperation/FlowMonitor">实体厅流量监测分析</a></li>
</ul>
</li>
</shiro:hasPermission>
......
......@@ -11,6 +11,14 @@
.divTitle{
color:#333333;background-color: #f5f5f5;border-color: #dddddd;font-size: 14px;border-top: 1px solid #dddddd;padding:10px 0 10px 10px;font-weight: bold;
}
.chartTable thead{
color:rgb(23,138,234);
}
.chartTable th,td{
text-align:center;
border-bottom: 1px solid #e3e3e3;
border-right:1px solid #e3e3e3;
}
</style>
</head>
<body>
......@@ -78,11 +86,12 @@
<div class="row" id="row">
<div class="panel panel-default" style="width: 1080px">
<div class="panel-heading ">
<span id="provinceChange">河南</span>省各地市业务量占比
<div class="panel-heading " style="height: 50px">
<div style="display: inline"><span id="provinceChange">江苏</span>省各地市业务量占比</div>
<a href="javascript:void(0)" onclick="seatsActiveness()" style="margin-left: 800px;display: inline;">实时</a><a href="javascript:void(0)" onclick="seatsActivenessMonth()" style="margin-left: 10px">当月</a>
</div>
<div class="panel-body" style="width: 1060px">
<div id="seatsActiveness"></div>
<div id="seatsActiveness" style="height: 350px;width: 1060px;"></div>
</div>
</div>
......@@ -90,9 +99,10 @@
<div class="panel panel-default" style="width: 1080px">
<div class="panel-heading ">
地市性能稳定性
<a href="javascript:void(0)" onclick="performanceStability()" style="margin-left: 850px;display: inline;">实时</a><a href="javascript:void(0)" onclick="performanceStabilityMonth()" style="margin-left: 10px">当月</a>
</div>
<div class="panel-body" style="width: 1060px">
<div id="performanceStability"></div>
<div id="performanceStability" style="height: 350px;width: 1060px;"></div>
</div>
</div>
......@@ -100,38 +110,42 @@
<div class="panel panel-default" style="width: 1080px">
<div class="panel-body" style="width: 1060px">
<div id="card1" style="width: 530px">
<div id="caton1" style="width: 500px;height:350px;margin:10px;float:left;">
<div class="divTitle">
营业厅卡顿用户数
<a href="javascript:void(0)" onclick="catonUser();" style="margin-left: 300px;display: inline;">实时</a><a href="javascript:void(0)" onclick="catonUserMonth();" style="margin-left: 10px">当月</a>
</div>
<div id="cardUser">
<div id="catonUser" style="width: 500px;height:300px;">
</div>
</div>
<div id="card2" style="width: 530px">
<div class="divTitle">
各地市业务性能情况
<div id="caton2" style="width: 500px;height:350px;margin:10px;float: left;">
<div class="divTitle" style="width: 500px;">
坐席分析
<a href="javascript:void(0)" onclick="seatAnalysisTop();" style="margin-left: 270px;display: inline;">前TOP10</a><a href="javascript:void(0)" onclick="seatAnalysisLast();" style="margin-left: 10px">后TOP10</a>
</div>
<div id="businessPerformance">
<div id="seatAnalysis" style="width: 500px;height:300px;">
</div>
</div>
<div id="card3" style="width: 530px">
<div id="caton3" style="width: 500px;height:350px;margin:10px;float: left;">
<div class="divTitle">
营业厅业务量
<a href="javascript:void(0)" onclick="businessOffice();" style="margin-left: 310px;display: inline;">实时</a><a href="javascript:void(0)" onclick="businessOfficeMonth();" style="margin-left: 10px">当月</a>
</div>
<div id="businessOffice">
<div id="businessOffice" style="width: 500px;height:300px;">
</div>
</div>
<div id="card4" style="width: 530px">
<div class="divTitle">
<div id="caton4" style="width: 500px;height:350px;margin:10px;float: left;">
<div class="divTitle" style="width: 500px;">
坐席×接待客户分析
<a href="javascript:void(0)" onclick="seatsReceptionUser();" style="margin-left: 280px;display: inline;">实时</a><a href="javascript:void(0)" onclick="seatsReceptionUserMonth();" style="margin-left: 10px">当月</a>
</div>
<div id="seatsReceptionUser">
<div id="seatsReceptionUser" style="width: 500px;height:300px;">
</div>
</div>
......@@ -140,57 +154,84 @@
</div>
<div class="panel panel-default" style="width: 1080px">
<div class="panel-body" style="width: 1060px">
<div class="panel-body" style="width: 1060px;height:630px;">
<div id="user1" style="width: 530px">
<div class="divTitle">
<div style="width: 500px;height:630px;margin:10px;float: left;">
<div id="user1" style="width: 500px;height:250px;float: left;">
<div class="divTitle" style="width:500px;">
用户IP分析(TOP10)
<a href="javascript:void(0)" onclick="userIp();" style="margin-left: 270px;display: inline;">实时</a><a href="javascript:void(0)" onclick="userIpMonth();" style="margin-left: 10px">当月</a>
</div>
<div id="userIp">
<table id="userIpTable" class="chartTable">
<thead>
<tr><th style="width: 120px;">用户IP</th><th style="width: 100px;">业务量</th><th style="width: 100px;">用户数</th><th style="width: 80px;">可用性</th><th style="width: 100px;">均时长</th>
</thead>
<tbody></tbody>
</table>
</div>
</div>
<div id="user2" style="width: 530px">
<div class="divTitle">
<div id="user2" style="width: 500px;height:350px;margin:10px;float: left;">
<div class="divTitle" style="width:500px;">
用户IP业务分布(TOP10)
<a href="javascript:void(0)" onclick="ipBusiness();" style="margin-left: 250px;display: inline;">实时</a><a href="javascript:void(0)" onclick="ipBusinessMonth();" style="margin-left: 10px">当月</a>
</div>
<div id="ipBusiness" style="width:500px;height:300px;">
</div>
<div id="ipBusiness">
</div>
</div>
<div id="user3" style="width: 530px">
<div class="divTitle">
<div id="user3" style="width: 500px;height:580px;margin:10px;float: left;">
<div class="divTitle" style="width:500px;">
用户IP趋势分析(TOP10)
<a href="javascript:void(0)" onclick="ipTrend();" style="margin-left: 250px;display: inline;">实时</a><a href="javascript:void(0)" onclick="ipTrendMonth();" style="margin-left: 10px">当月</a>
</div>
<div id="ipTrend">
<div id="ipTrend" style="width:500px;height:570px;">
</div>
</div>
</div>
</div>
<div class="panel panel-default" style="width: 1080px">
<div class="panel panel-default" style="width: 1080px;height:550px;">
<div class="panel-body" style="width: 1060px">
<div id="server1" style="width: 530px">
<div id="server1" style="width: 500px;height:530px;margin:10px;float: left;">
<div class="divTitle">
服务器实例分析
<a href="javascript:void(0)" onclick="serverExample();" style="margin-left: 295px;display: inline;">实时</a><a href="javascript:void(0)" onclick="serverExampleMonth();" style="margin-left: 10px">当月</a>
</div>
<div id="serverExample">
<table id="serverExampleTable" class="chartTable" style="height: 470px">
<thead>
<tr><th style="width: 120px;height: 30px;">服务器实例</th><th style="width: 100px;">可用性</th><th style="width: 100px;">性能</th><th style="width: 100px;">业务量</th><th style="width: 80px;">用户数</th>
</thead>
<tbody id="addServerExample"></tbody>
</table>
</div>
</div>
<div id="server2" style="width: 530px">
<div class="divTitle">
<div id="server2" style="width: 500px;height:530px;margin:10px;float: left;">
<div class="divTitle" >
客户端兼容性分析
<a href="javascript:void(0)" onclick="clientCompatibility();" style="margin-left: 290px;display: inline;">实时</a><a href="javascript:void(0)" onclick="clientCompatibilityMonth();" style="margin-left: 10px">当月</a>
</div>
<div id="clientCompatibility">
<div id="browserInformation">
<div id="clientCompatibility" style="width: 500px;height:500px;float: left;">
<div id="browserInformation" style="width: 500px;height:200px;margin:10px;">
<table id="browserInformationTable" class="chartTable">
<thead>
<tr><th style="width: 120px;">浏览器信息</th><th style="width: 120px;">用户数</th><th style="width: 120px;">业务量</th><th style="width: 120px;">可用性</th>
</thead>
<tbody id="addBrowserInformation"></tbody>
</table>
</div>
<div id="httpInformation">
<div id="httpInformation" style="width: 500px;height:240px;float: left;">
<div class="divTitle">
HTTP状态码分析
<a href="javascript:void(0)" onclick="httpInformation();" style="margin-left: 290px;display: inline;">实时</a><a href="javascript:void(0)" onclick="httpInformationMonth();" style="margin-left: 10px">当月</a>
</div>
<div id="httpState" style="width: 500px;height:220px;float: left;">
</div>
</div>
</div>
......@@ -211,6 +252,1298 @@
</div>
</div>
</div>
<script type="text/javascript" src="${ctx}/static/js/echarts.min.js"></script>
<script type="text/javascript">
$(document).ready(function(){
timer();
});
function load() {
seatsActiveness();
performanceStability();
catonUser();
seatAnalysisTop();
businessOffice();
seatsReceptionUser();
userIp();
ipBusiness();
ipTrend();
serverExample();
clientCompatibility();
httpInformation();
}
function timer() {
var interval = window.setInterval(load(),300000);
}
//格式化日期
function Format(){
this.jsjava_class="jsjava.text.Format";
}
function DateFormat(){
this.jsjava_class="jsjava.text.DateFormat";
}
DateFormat.prototype=new Format();
DateFormat.prototype.constructor=DateFormat;
DateFormat.zh_cn_month2=["01","02","03","04","05","06","07","08","09","10","11","12"];
DateFormat.zh_cn_month3=["\u4e00\u6708","\u4e8c\u6708","\u4e09\u6708","\u56db\u6708","\u4e94\u6708","\u516d\u6708","\u4e03\u6708","\u516b\u6708","\u4e5d\u6708","\u5341\u6708","\u5341\u4e00\u6708","\u5341\u4e8c\u6708",];
DateFormat.zh_cn_month4=["\u4e00\u6708","\u4e8c\u6708","\u4e09\u6708","\u56db\u6708","\u4e94\u6708","\u516d\u6708","\u4e03\u6708","\u516b\u6708","\u4e5d\u6708","\u5341\u6708","\u5341\u4e00\u6708","\u5341\u4e8c\u6708",];
DateFormat.en_us_month4=["Janu","Febr","Marc","Apri","May","Juhn","July","Augu","Sept","Octo","Nove","Dece"];
DateFormat.en_us_month3=["Jan","Feb","Mar","Apr","May","Juh","Jul","Aug","Sep","Oct","Nov","Dec"];
DateFormat.en_us_month2=["01","02","03","04","05","06","07","08","09","10","11","12"];
DateFormat.zh_cn_week=["\u661f\u671f\u65e5","\u661f\u671f\u4e00","\u661f\u671f\u4e8c","\u661f\u671f\u4e09","\u661f\u671f\u56db","\u661f\u671f\u4e94","\u661f\u671f\u516d"];
DateFormat.zh_cn_am="\u4e0b\u5348";
DateFormat.zh_cn_pm="\u4e0a\u5348";
DateFormat.language=(navigator.userLanguage==undefined?navigator.language:navigator.userLanguage).replace("-","_").toLowerCase();
DateFormat.prototype.format=function(date){
var year4=date.getFullYear();
var year2=year4.toString().substring(2);
var pattern=this.pattern;
pattern=pattern.replace(/yyyy/,year4);
pattern=pattern.replace(/yy/,year2);
var month=date.getMonth();
pattern=pattern.replace(/MMMM/,eval("DateFormat."+DateFormat.language+"_month4[month]"));
pattern=pattern.replace(/MMM/,eval("DateFormat."+DateFormat.language+"_month3[month]"));
pattern=pattern.replace(/MM/,eval("DateFormat."+DateFormat.language+"_month2[month]"));
var dayOfMonth=date.getDate();
var dayOfMonth2=dayOfMonth;
var dayOfMonthLength=dayOfMonth.toString().length;
if(dayOfMonthLength==1){
dayOfMonth2="0"+dayOfMonth;
}
pattern=pattern.replace(/dd/,dayOfMonth2);
pattern=pattern.replace(/d/,dayOfMonth);
var hours=date.getHours();
var hours2=hours;
var hoursLength=hours.toString().length;
if(hoursLength==1){
hours2="0"+hours;
}
pattern=pattern.replace(/HH/,hours2);
pattern=pattern.replace(/H/,hours);
var minutes=date.getMinutes();
var minutes2=minutes;
var minutesLength=minutes.toString().length;
if(minutesLength==1){
minutes2="0"+minutes;
}
pattern=pattern.replace(/mm/,minutes2);
pattern=pattern.replace(/m/,minutes);
var seconds=date.getSeconds();
var seconds2=seconds;
var secondsLength=seconds.toString().length;
if(secondsLength==1){
seconds2="0"+seconds;
}
pattern=pattern.replace(/ss/,seconds2);
pattern=pattern.replace(/s/,seconds);
var milliSeconds=date.getMilliseconds();
pattern=pattern.replace(/S+/,milliSeconds);
var day=date.getDay();
// pattern=pattern.replace(/E+/,eval("DateFormat."+DateFormat.language+"_week[day]"));
if(hours>12){
pattern=pattern.replace(/a+/,eval("DateFormat."+DateFormat.language+"_am"));
}else{
pattern=pattern.replace(/a+/,eval("DateFormat."+DateFormat.language+"_pm"));
}
var kHours=hours;
if(kHours==0){
kHours=24;
}
var kHours2=kHours;
var kHoursLength=kHours.toString().length;
if(kHoursLength==1){
kHours2="0"+kHours;
}
pattern=pattern.replace(/kk/,kHours2);
pattern=pattern.replace(/k/,kHours);
var KHours=hours;
if(hours>11){
KHours=hours-12;
}
var KHours2=KHours;
var KHoursLength=KHours.toString().length;
if(KHoursLength==1){
KHours2="0"+KHours;
}
pattern=pattern.replace(/KK/,KHours2);
pattern=pattern.replace(/K/,KHours);
var hHours=KHours;
if(hHours==0){
hHours=12;
}
var hHours2=hHours;
var hHoursLength=hHours.toString().length;
if(KHoursLength==1){
hHours2="0"+hHours;
}
pattern=pattern.replace(/hh/,hHours2);
pattern=pattern.replace(/h/,hHours);
return pattern;
};
function SimpleDateFormat(){
this.jsjava_class="jsjava.text.SimpleDateFormat";
}
SimpleDateFormat.prototype=new DateFormat();
SimpleDateFormat.prototype.constructor=SimpleDateFormat;
SimpleDateFormat.prototype.applyPattern=function(pattern){
this.pattern=pattern;
};
var df=new SimpleDateFormat();
df.applyPattern("yyyy-MM-dd HH:mm:ss");
function seatsActivenessChart(city,cityValue) {
var myChart = echarts.init(document.getElementById('seatsActiveness'));
var option = {
title:{
text:null,
subtext:null
},
grid:{
x:50,
y:0,
x2:0,
y2:20,
},
xAxis:[
{
type:'value',
show:false,
}
],
yAxis:[
{
type:'category',
data:city
}
],
series:[
{
type:'bar',
data:cityValue,
itemStyle: {
normal: {
color:'#7ecbf2',
label: {
show: true,
position: [950,0],
formatter:'{c}%',
textStyle:{
color:'black'
}
}
}
}
}
],
}
myChart.setOption(option);
}
function performanceStabilityChart(city,boxValue,percent) {
var myChart = echarts.init(document.getElementById('performanceStability'));
var option = {
title:{
text:null,
subtext:null
},
legend: {
data: ['line', 'line2', 'line3']
},
grid:{
x:50,
y:0,
x2:0,
y2:20,
},
tooltip: {
trigger: 'item',
},
xAxis: {
type: 'value',
show:false,
},
yAxis: {
type: 'category',
data: city,
boundaryGap: true,
splitArea: {
show: false
},
splitLine: {
show: false
}
},
series: [
{
type: 'boxplot',
data: boxValue,
tooltip: {
formatter: function (param) {
return [
'下边缘值: ' + param.data[1],
'下四分位数: ' + param.data[2],
'中位数: ' + param.data[3],
'上四位数: ' + param.data[4],
'上边缘值: ' + param.data[5]
].join('<br/>')
}
}
},
{
type:'bar',
show:false,
data:percent,
itemStyle: {
normal: {
color:'#7ecbf2',
label: {
show: true,
position: [950,0],
formatter:'{c}%',
textStyle:{
color:'black'
}
}
}
}
}
],
}
myChart.setOption(option);
}
function catonUserChart(time,time1Account,time2Account,time3Account) {
var myChart = echarts.init(document.getElementById('catonUser'));
var option = {
title:{
text:null,
subtext:null
},
tooltip: {
trigger: 'axis',
},
grid:{
x:60,
y:20,
x2:40,
y2:40,
},
legend: {
data:['无法使用','可容忍','不满意']
},
xAxis:[
{
type:'category',
data:time,
splitLine:{
show:false
},
}
],
yAxis:[
{
type:'value',
splitLine:{
show:false
}
}
],
series:[
{
name:'无法使用',
type:'line',
data:time1Account,
smooth: true
},
{
name:'可容忍',
type:'line',
data:time2Account,
smooth: true
},
{
name:'不满意',
type:'line',
data:time3Account,
smooth: true
}
],
}
myChart.setOption(option);
}
function seatAnalysisChart(account,transCnt,transAvail,transTime) {
var myChart = echarts.init(document.getElementById('seatAnalysis'));
var option = {
title:{
text:null,
subtext:null
},
tooltip : {
trigger: 'axis'
},
legend: {
data:['业务量','成功量','均时长']
},
xAxis : [
{
type : 'category',
splitLine:{
show:false
},
data : ['坐\n席\n一','坐\n席\n二','坐\n席\n三','坐\n席\n四','坐\n席\n五','坐\n席\n六','坐\n席\n七','坐\n席\n八','坐\n席\n九','坐\n席\n十']
}
],
yAxis : [
{
type : 'value',
splitLine:{
show:false
},
},
{
type : 'value',
splitLine:{
show:false
},
}
],
series : [
{
name:'业务量',
type:'bar',
data:transCnt
},
{
name:'成功量',
type:'bar',
data:transAvail
},
{
name:'均时长',
type:'line',
yAxisIndex: 1,
data:transTime
}
]
}
myChart.setOption(option);
}
function businessOfficeChart(hallList,dataList,time){
var myChart = echarts.init(document.getElementById('businessOffice'));
var option = {
title:{
text:null,
subtext:null
},
tooltip : {
trigger: 'axis'
},
legend: {
data:['营业厅1','营业厅2','营业厅3','营业厅4','营业厅5']
},
xAxis:[
{
type: 'category',
data: time,
splitLine: {
show: false
},
}
],
yAxis:[
{
type:'value',
splitLine:{
show:false
}
}
],
series:[
{
name:'营业厅1',
type:'line',
data:dataList[0],
smooth: true
},
{
name:'营业厅2',
type:'line',
data:dataList[1],
smooth: true
},
{
name:'营业厅3',
type:'line',
data:dataList[2],
smooth: true
},
{
name:'营业厅4',
type:'line',
data:dataList[3],
smooth: true
},
{
name:'营业厅5',
type:'line',
data:dataList[4],
smooth: true
}
],
}
myChart.setOption(option);
}
function seatsReceptionUserChart(time,time1Account,time2Account,time3Account){
var myChart = echarts.init(document.getElementById('seatsReceptionUser'));
var option = {
title:{
text:null,
subtext:null
},
tooltip: {
trigger: 'axis',
},
grid:{
x:40,
x2:40,
},
legend: {
data:['无法使用','可容忍','不满意']
},
xAxis:[
{
type: 'category',
data: time,
splitLine: {
show: false
}
}
],
yAxis:[
{
type:'value',
splitLine:{
show:false
}
}
],
series:[
{
name:'无法使用',
type:'line',
itemStyle: {
normal: {
areaStyle: {
type: 'default'
}
}
},
data:time1Account,
smooth: true
},
{
name:'可容忍',
type:'line',
itemStyle: {
normal: {
areaStyle: {
type: 'default'
}
}
},
data:time2Account,
smooth: true
},
{
name:'不满意',
type:'line',
itemStyle: {
normal: {
areaStyle: {
type: 'default'
}
}
},
data:time3Account,
smooth: true
}
],
}
myChart.setOption(option);
}
function ipBusinessChart(cnt1,cnt2,cnt3,cnt4,cnt5,cnt6,cnt7,cnt8,cnt9,cnt10,clientIp,cnt){
var myChart = echarts.init(document.getElementById('ipBusiness'));
var option = {
title: {
text: null,
subtext: null
},
tooltip : {
trigger: 'axis',
},
grid:{
x:100,
x2:20
},
legend: {
data:['宽带开户', '资料变更','产品变更','套餐变更','综合账单查询','充值缴费','资金变化查询','详单查询','积分查询','其他']
},
xAxis : [
{
type : 'value',
splitLine:{
show:false
},
}
],
yAxis : [
{
type : 'category',
data : clientIp,
splitLine:{
show:false
},
}
],
series : [
{
name:'宽带开户',
type:'bar',
stack: '总量',
data:cnt1
},
{
name:'资料变更',
type:'bar',
stack: '总量',
data:cnt2
},
{
name:'产品变更',
type:'bar',
stack: '总量',
data:cnt3
},
{
name:'套餐变更',
type:'bar',
stack: '总量',
data:cnt4
},
{
name:'综合账单查询',
type:'bar',
stack: '总量',
data:cnt5
},
{
name:'充值缴费',
type:'bar',
stack: '总量',
data:cnt6
},
{
name:'资金变化查询',
type:'bar',
stack: '总量',
data:cnt7
},
{
name:'详单查询',
type:'bar',
stack: '总量',
data:cnt8
},
{
name:'积分查询',
type:'bar',
stack: '总量',
data:cnt9
},
{
name:'其他',
type:'bar',
stack: '总量',
data:cnt10
}
]
}
myChart.setOption(option);
}
function httpInformationChart(serverIp,sotherCnt){
var myChart = echarts.init(document.getElementById('httpState'));
var option = {
title: {
text: null,
subtext: null
},
tooltip : {
trigger: 'axis',
},
grid:{
x2:60
},
legend: {
data:['200', '302','404','空白']
},
xAxis : [
{
type : 'category',
data : serverIp,
splitLine:{
show:false
},
}
],
yAxis : [
{
type : 'value',
splitLine:{
show:false
},
}
],
series : [
{
name:'200',
type:'bar',
stack: '总量',
data:sotherCnt
},
{
name:'302',
type:'bar',
stack: '总量',
data:sotherCnt
},
{
name:'404',
type:'bar',
stack: '总量',
data:sotherCnt
},
{
name:'空白',
type:'bar',
stack: '总量',
data:sotherCnt
},
],
}
myChart.setOption(option);
}
function ipTrendChart(time,dataList,ipList) {
var myChart = echarts.init(document.getElementById('ipTrend'));
var option = {
title:{
text:null,
subtext:null
},
tooltip : {
trigger: 'axis'
},
legend: {
data:ipList,
},
xAxis:[
{
type: 'category',
data: time,
splitLine: {
show: false
},
}
],
yAxis:[
{
type:'value',
splitLine:{
show:false
}
}
],
series:[
{
name:ipList[0],
type:'line',
data:dataList[0],
smooth: true
},
{
name:ipList[1],
type:'line',
data:dataList[1],
smooth: true
},
{
name:ipList[2],
type:'line',
data:dataList[2],
smooth: true
},
{
name:ipList[3],
type:'line',
data:dataList[3],
smooth: true
},
{
name:ipList[4],
type:'line',
data:dataList[4],
smooth: true
},
{
name:ipList[5],
type:'line',
data:dataList[5],
smooth: true
}
],
}
myChart.setOption(option);
}
function seatsActiveness() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/seatsActiveness",
async: false,
success: function(data){
var city = new Array();
var cityValue = new Array();
for(var i=0; i<data.length; i++){
city.push(data[i][0]);
cityValue.push(data[i][1]);
}
city.reverse();
cityValue.reverse();
seatsActivenessChart(city,cityValue);
}
});
}
function seatsActivenessMonth() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/seatsActivenessMonth",
async: false,
success: function(data){
var city = new Array();
var cityValue = new Array();
for(var i=0; i<data.length; i++){
city.push(data[i][0]);
cityValue.push(data[i][1]);
}
city.reverse();
cityValue.reverse();
seatsActivenessChart(city,cityValue);
}
});
}
function performanceStability() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/performanceStability",
async: false,
success: function(data){
var city = new Array();
var boxValue = [];
var percent = new Array();
for(var i=0; i<data.length; i++){
city.push(data[i][0]);
percent.push(data[i][6]);
boxValue.push([data[i][1],data[i][2],data[i][3],data[i][4],data[i][5]]);
}
city.reverse();
percent.reverse();
boxValue.reverse();
performanceStabilityChart(city,boxValue,percent);
}
});
}
function performanceStabilityMonth() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/performanceStabilityMonth",
async: false,
success: function(data){
var city = new Array();
var boxValue = [];
var percent = new Array();
for(var i=0; i<data.length; i++){
city.push(data[i][0]);
percent.push(data[i][6]);
boxValue.push([data[i][1],data[i][2],data[i][3],data[i][4],data[i][5]]);
}
city.reverse();
percent.reverse();
boxValue.reverse();
performanceStabilityChart(city,boxValue,percent);
}
});
}
function catonUser() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/catonUser",
async: false,
success: function(data){
var time = new Array();
var time1Account = new Array();
var time2Account = new Array();
var time3Account = new Array();
for(var i=0; i<data.length; i++){
time.push(df.format(new Date(data[i][0])));
time1Account.push(data[i][1]);
time2Account.push(data[i][2]);
time3Account.push(data[i][3]);
}
catonUserChart(time,time1Account,time2Account,time3Account);
}
});
}
function catonUserMonth() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/catonUserMonth",
async: false,
success: function(data){
var time = new Array();
var time1Account = new Array();
var time2Account = new Array();
var time3Account = new Array();
for(var i=0; i<data.length; i++){
time.push(df.format(new Date(data[i][0])));
time1Account.push(data[i][1]);
time2Account.push(data[i][2]);
time3Account.push(data[i][3]);
}
catonUserChart(time,time1Account,time2Account,time3Account);
}
});
}
function seatAnalysisTop() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/seatAnalysisTop",
async: false,
success: function(data){
var account = new Array();
var transCnt = new Array();
var transAvail = new Array();
var transTime = new Array();
for(var i=0; i<data.length; i++){
account.push(data[i][0]);
transCnt.push(data[i][1]);
transAvail.push(data[i][2]);
transTime.push(data[i][3]);
}
seatAnalysisChart(account,transCnt,transAvail,transTime);
}
});
}
function seatAnalysisLast() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/seatAnalysisLast",
async: false,
success: function(data){
var account = new Array();
var transCnt = new Array();
var transAvail = new Array();
var transTime = new Array();
for(var i=0; i<data.length; i++){
account.push(data[i][0]);
transCnt.push(data[i][1]);
transAvail.push(data[i][2]);
transTime.push(data[i][3]);
}
seatAnalysisChart(account,transCnt,transAvail,transTime);
}
});
}
function businessOffice() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/businessOffice",
async: false,
success: function(data){
var hallList = [];
var time=[];
var dataList=[];
data.forEach(function(t,i){
if(i===0){
t.forEach(function(t1){
time.push(df.format(new Date(t1[2])))
})
}
dataList.push([])
t.forEach(function(t1,j){
if(j===0){
hallList.push(t1[1])
}
dataList[i].push(t1[0])
})
})
businessOfficeChart(hallList,dataList,time);
}
});
}
function businessOfficeMonth() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/businessOfficeMonth",
async: false,
success: function(data){
var hallList = [];
var time=[];
var dataList=[];
data.forEach(function(t,i){
if(i===0){
t.forEach(function(t1){
time.push(df.format(new Date(t1[2])))
})
}
dataList.push([])
t.forEach(function(t1,j){
if(j===0){
hallList.push(t1[1])
}
dataList[i].push(t1[0])
})
})
businessOfficeChart(hallList,dataList,time);
}
});
}
function seatsReceptionUser() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/seatsReceptionUser",
async: false,
success: function(data){
var time = new Array();
var time1Account = new Array();
var time2Account = new Array();
var time3Account = new Array();
for(var i=0; i<data.length; i++){
time.push(df.format(new Date(data[i][0])));
time1Account.push(data[i][1]);
time2Account.push(data[i][2]);
time3Account.push(data[i][3]);
}
seatsReceptionUserChart(time,time1Account,time2Account,time3Account);
}
});
}
function seatsReceptionUserMonth() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/seatsReceptionUserMonth",
async: false,
success: function(data){
var time = new Array();
var time1Account = new Array();
var time2Account = new Array();
var time3Account = new Array();
for(var i=0; i<data.length; i++){
time.push(df.format(new Date(data[i][0])));
time1Account.push(data[i][1]);
time2Account.push(data[i][2]);
time3Account.push(data[i][3]);
}
seatsReceptionUserChart(time,time1Account,time2Account,time3Account);
}
});
}
function userIp() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/userIp",
async: false,
success: function(data){
var tbody=$('<tbody></tbody>');
data.forEach(function(t) {
var tr = $('<tr></tr>');
tr.append('<td>'+t[0]+'</td>'+'<td>'+t[1]+'</td>'+'<td>'+t[2]+'</td>'+'<td>'+t[3]+'</td>'+'<td>'+t[4]+'</td>');
tbody.append(tr);
});
$('#userIpTable tbody').replaceWith(tbody);
}
});
}
function userIpMonth() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/userIpMonth",
async: false,
success: function(data){
var tbody=$('<tbody></tbody>');
data.forEach(function(t) {
var tr = $('<tr></tr>');
tr.append('<td>'+t[0]+'</td>'+'<td>'+t[1]+'</td>'+'<td>'+t[2]+'</td>'+'<td>'+t[3]+'</td>'+'<td>'+t[4]+'</td>');
tbody.append(tr);
});
$('#userIpTable tbody').replaceWith(tbody);
}
});
}
function ipBusiness() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/ipBusiness",
async: false,
success: function(data){
var cnt1 = new Array();
var cnt2 = new Array();
var cnt3 = new Array();
var cnt4 = new Array();
var cnt5 = new Array();
var cnt6 = new Array();
var cnt7 = new Array();
var cnt8 = new Array();
var cnt9 = new Array();
var cnt10 = new Array();
var clientIp = new Array();
var cnt = new Array();
for(var i=0; i<data.length; i++){
cnt1.push(data[i][0]);
cnt2.push(data[i][1]);
cnt3.push(data[i][2]);
cnt4.push(data[i][3]);
cnt5.push(data[i][4]);
cnt6.push(data[i][5]);
cnt7.push(data[i][6]);
cnt8.push(data[i][7]);
cnt9.push(data[i][8]);
cnt10.push(data[i][9]);
clientIp.push(data[i][10]);
cnt.push(data[i][11]);
}
ipBusinessChart(cnt1,cnt2,cnt3,cnt4,cnt5,cnt6,cnt7,cnt8,cnt9,cnt10,clientIp,cnt);
}
});
}
function ipBusinessMonth() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/ipBusinessMonth",
async: false,
success: function(data){
var cnt1 = new Array();
var cnt2 = new Array();
var cnt3 = new Array();
var cnt4 = new Array();
var cnt5 = new Array();
var cnt6 = new Array();
var cnt7 = new Array();
var cnt8 = new Array();
var cnt9 = new Array();
var cnt10 = new Array();
var clientIp = new Array();
var cnt = new Array();
for(var i=0; i<data.length; i++){
cnt1.push(data[i][0]);
cnt2.push(data[i][1]);
cnt3.push(data[i][2]);
cnt4.push(data[i][3]);
cnt5.push(data[i][4]);
cnt6.push(data[i][5]);
cnt7.push(data[i][6]);
cnt8.push(data[i][7]);
cnt9.push(data[i][8]);
cnt10.push(data[i][9]);
clientIp.push(data[i][10]);
cnt.push(data[i][11]);
}
ipBusinessChart(cnt1,cnt2,cnt3,cnt4,cnt5,cnt6,cnt7,cnt8,cnt9,cnt10,clientIp,cnt);
}
});
}
function ipTrend() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/ipTrend",
async: false,
success: function(data){
var dataList=[];
var time=[];
var ipList=[];
data.forEach(function(t,i){
if(i===0){
t.forEach(function(t1){
time.push(df.format(new Date(t1[2])))
})
}
dataList.push([])
t.forEach(function(t1,j){
if(j===0){
ipList.push(t1[1])
}
dataList[i].push(t1[0])
})
})
ipTrendChart(time,dataList,ipList);
}
});
}
function ipTrendMonth() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/ipTrendMonth",
async: false,
success: function(data){
var dataList=[];
var time=[];
var ipList=[];
data.forEach(function(t,i){
if(i===0){
t.forEach(function(t1){
time.push(df.format(new Date(t1[2])))
})
}
dataList.push([])
t.forEach(function(t1,j){
if(j===0){
ipList.push(t1[1])
}
dataList[i].push(t1[0])
})
});
ipTrendChart(time,dataList,ipList);
}
});
}
function serverExample() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/serverExample",
async: false,
success: function(data){
var tbody=$('<tbody></tbody>');
data.forEach(function(t) {
var tr = $('<tr></tr>');
tr.append('<td>'+t[0]+'</td>'+'<td>'+t[1]+'</td>'+'<td>'+t[2]+'</td>'+'<td>'+t[3]+'</td>'+'<td>'+t[4]+'</td>');
tbody.append(tr);
});
$('#serverExampleTable tbody').replaceWith(tbody);
}
});
}
function serverExampleMonth() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/serverExampleMonth",
async: false,
success: function(data){
var tbody=$('<tbody></tbody>');
data.forEach(function(t) {
var tr = $('<tr></tr>');
tr.append('<td>'+t[0]+'</td>'+'<td>'+t[1]+'</td>'+'<td>'+t[2]+'</td>'+'<td>'+t[3]+'</td>'+'<td>'+t[4]+'</td>');
tbody.append(tr);
});
$('#serverExampleTable tbody').replaceWith(tbody);
}
});
}
function clientCompatibility() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/clientCompatibility",
async: false,
success: function(data){
var tbody=$('<tbody></tbody>');
data.forEach(function(t) {
var tr = $('<tr></tr>');
tr.append('<td>'+t[0]+'</td>'+'<td>'+t[1]+'</td>'+'<td>'+t[2]+'</td>'+'<td>'+t[3]+'</td>');
tbody.append(tr);
});
$('#browserInformationTable tbody').replaceWith(tbody);
}
});
}
function clientCompatibilityMonth() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/clientCompatibilityMonth",
async: false,
success: function(data){
var tbody=$('<tbody></tbody>');
data.forEach(function(t) {
var tr = $('<tr></tr>');
tr.append('<td>'+t[0]+'</td>'+'<td>'+t[1]+'</td>'+'<td>'+t[2]+'</td>'+'<td>'+t[3]+'</td>');
tbody.append(tr);
});
$('#browserInformationTable tbody').replaceWith(tbody);
}
});
}
function httpInformation() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/httpInformation",
async: false,
success: function(data){
var serverIp = new Array();
var sotherCnt = new Array();
for(var i=0; i<data.length; i++){
serverIp.push(data[i][0]);
sotherCnt.push(data[i][1]);
}
httpInformationChart(serverIp,sotherCnt)
}
});
}
function httpInformationMonth() {
$.ajax({
type : "GET",
contentType : "application/json",
url: "${ctx}/MonitorOperation/FlowMonitor/httpInformationMonth",
async: false,
success: function(data){
var serverIp = new Array();
var sotherCnt = new Array();
for(var i=0; i<data.length; i++){
serverIp.push(data[i][0]);
sotherCnt.push(data[i][1]);
}
httpInformationChart(serverIp,sotherCnt)
}
});
}
</script>
</body>
</html>
\ No newline at end of file
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