流量统计增加域名查询接口，修改活跃IP增加时间查询，app增加appType条件查询，增加主题详情统计

src/main/java/com/nis/domain/restful/dashboard/TrafficIpActiveStatistic.java

@@ -32,8 +32,19 @@ public class TrafficIpActiveStatistic extends BaseEntity<TrafficIpActiveStatisti
     
     private String time;
     
+    private Long count;
+    
+    
 
-    public String getTime() {
+    public Long getCount() {
+		return count;
+	}
+
+	public void setCount(Long count) {
+		this.count = count;
+	}
+
+	public String getTime() {
 		return time;
 	}
 

src/main/java/com/nis/web/controller/restful/DashboardServiceController.java

@@ -22,6 +22,7 @@ import com.nis.restful.RestBusinessCode;
 import com.nis.restful.RestServiceException;
 import com.nis.restful.ServiceRuntimeException;
 import com.nis.util.Constants;
+import com.nis.util.DateUtils;
 import com.nis.util.ExceptionUtil;
 import com.nis.util.JsonMapper;
 import com.nis.util.StringUtils;
@@ -291,13 +292,26 @@ public class DashboardServiceController extends BaseRestController {
 	 */
 	@RequestMapping(value = "trafficIpActive", method = RequestMethod.GET)
 	@ApiOperation(value = "活跃IP统计", httpMethod = "GET", notes = "对应活跃IP实时统计查询服务。")
-	public Map<String,?> trafficIpActive(Model model, HttpServletRequest request, HttpServletResponse response) {
+	public Map<String,?> trafficIpActive(String beginDate, String endDate ,Model model, HttpServletRequest request, HttpServletResponse response) {
 
 		long start = System.currentTimeMillis();
 		AuditLogThread auditLogThread = super.saveRequestLog(servicesRequestLogService, Constants.OPACTION_GET, request, null);
 		List<LinkedHashMap> list = new ArrayList<LinkedHashMap>();
 		try {
-			List<LinkedHashMap> ipActiveChart = dashboardService.ipActiveChart();
+			Date begin=null;
+			Date end=null;
+			if(StringUtils.isEmpty(beginDate)||StringUtils.isEmpty(endDate)) {
+				Calendar cal = Calendar. getInstance ();
+				cal.setTime(new Date());
+				begin =  cal.getTime();//获取到完整的时间
+				cal.set(Calendar.HOUR_OF_DAY, cal.get(Calendar.HOUR_OF_DAY) - 1);
+				end =  cal.getTime();
+			}else {
+				begin = DateUtils.parseDate(beginDate);
+				end = DateUtils.parseDate(endDate);
+			}
+			
+			List<LinkedHashMap> ipActiveChart = dashboardService.ipActiveChart(begin,end);
 				if (ipActiveChart!=null&&ipActiveChart.size() > 0) {
 					list = ipActiveChart;
 			}
@@ -322,13 +336,15 @@ public class DashboardServiceController extends BaseRestController {
 	 */
 	@RequestMapping(value = "trafficIpActiveOneHour", method = RequestMethod.GET)
 	@ApiOperation(value = "活跃IP统计一个小时的活跃IP", httpMethod = "GET", notes = "对应活跃IP实时统计查询服务。")
-	public Map<String,?> trafficIpActiveOneHour(Model model, HttpServletRequest request, HttpServletResponse response) {
+	public Map<String,?> trafficIpActiveOneHour(String beginDate, String endDate ,Model model, HttpServletRequest request, HttpServletResponse response) {
 		
 		long start = System.currentTimeMillis();
 		AuditLogThread auditLogThread = super.saveRequestLog(servicesRequestLogService, Constants.OPACTION_GET, request, null);
 		List<HashMap> list = new ArrayList<HashMap>();
 		try {
-			List<HashMap> ipActiveChart = dashboardService.ipActiveOneHour();
+			Date begin = DateUtils.parseDate(beginDate);
+			Date end = DateUtils.parseDate(endDate);
+			List<HashMap> ipActiveChart = dashboardService.ipActiveOneHour(begin,end);
 			if (ipActiveChart!=null&&ipActiveChart.size() > 0) {
 				list = ipActiveChart;
 			}
@@ -353,13 +369,19 @@ public class DashboardServiceController extends BaseRestController {
 	 */
 	@RequestMapping(value = "trafficIpActiveFiveMinute", method = RequestMethod.GET)
 	@ApiOperation(value = "活跃IP最近一个小时的变化趋势统计", httpMethod = "GET", notes = "对最新TOP10的活跃IP，在近一个小时的变化情况进行统计")
-	public Map<String,?> trafficIpActiveFiveMinute(Model model, HttpServletRequest request, HttpServletResponse response) {
+	public Map<String,?> trafficIpActiveFiveMinute(String beginDate, String endDate ,Model model, HttpServletRequest request, HttpServletResponse response) {
 		
 		long start = System.currentTimeMillis();
 		AuditLogThread auditLogThread = super.saveRequestLog(servicesRequestLogService, Constants.OPACTION_GET, request, null);
 		List<HashMap> list = new ArrayList<HashMap>();
 		try {
-			List<HashMap> ipActiveChart = dashboardService.ipActiveFiveMinute();
+			Date begin=null;
+			Date end=null;
+			if(!StringUtils.isEmpty(beginDate)&&!StringUtils.isEmpty(endDate)) {
+				begin=DateUtils.parseDate(beginDate);
+				end=DateUtils.parseDate(endDate);
+			}
+			List<HashMap> ipActiveChart = dashboardService.ipActiveFiveMinute(begin,end);
 			if (ipActiveChart!=null&&ipActiveChart.size() > 0) {
 				list = ipActiveChart;
 			}
@@ -415,12 +437,12 @@ public class DashboardServiceController extends BaseRestController {
 	 */
 	@RequestMapping(value="trafficAppList", method = RequestMethod.GET)
 	@ApiOperation(value = "App统计占比与报表", httpMethod = "GET", notes = "对应App统计详情占比与报表")
-	public Map<String,?> trafficAppList(String beginDate,String endDate,Model model, HttpServletRequest request, HttpServletResponse response){
+	public Map<String,?> trafficAppList(Integer appType,String beginDate,String endDate,Model model, HttpServletRequest request, HttpServletResponse response){
 		long start = System.currentTimeMillis();
 		AuditLogThread auditLogThread = super.saveRequestLog(servicesRequestLogService, Constants.OPACTION_GET, request, null);
 		List<HashMap> list = new ArrayList<HashMap>();
 		try {
-			List<Map> appList = dashboardService.getAppList(beginDate,endDate);
+			List<Map> appList = dashboardService.getAppList(beginDate,endDate,appType);
 			if (appList!=null&&appList.size() > 0) {
 				String jsonString = JsonMapper.toJsonString(appList);
 				list = (java.util.List<HashMap>) JsonMapper.fromJsonList(jsonString,HashMap.class);
@@ -554,17 +576,28 @@ public class DashboardServiceController extends BaseRestController {
 	}
 	@RequestMapping(value = "trafficWebsiteList", method = RequestMethod.GET)
 	@ApiOperation(value = "网站流量分析统计", httpMethod = "GET", notes = "对应网站http分类显示")
-	public Map<String,?> trafficWebsiteList(Model model, HttpServletRequest request, HttpServletResponse response) {
+	public Map<String,?> trafficWebsiteList(String beginDate,String endDate,Model model, HttpServletRequest request, HttpServletResponse response) {
 		
 		long start = System.currentTimeMillis();
 		AuditLogThread auditLogThread = super.saveRequestLog(servicesRequestLogService, Constants.OPACTION_GET, request, null);
 		List<Map> list = new ArrayList<Map>();
 		try {
-//			List<Map> websiteChart = dashboardService.websiteList();
-			List<Map> websiteChart = dashboardService.getDomainByWebsiteList();
-			if (websiteChart!=null&&websiteChart.size() > 0) {
-				list = websiteChart;
+			if(!StringUtils.isEmpty(beginDate)&&!StringUtils.isEmpty(endDate)) {
+				Date begin = DateUtils.parseDate(beginDate);
+				Date end = DateUtils.parseDate(endDate);
+				// 带查询时间查询所有
+				List<Map> websiteChart = dashboardService.getWebsiteDetails(begin,end);
+				if (websiteChart!=null&&websiteChart.size() > 0) {
+					list = websiteChart;
+				}
+			}else {
+				// 不带时间默认top10
+				List<Map> websiteChart = dashboardService.getWebsiteTop10();
+				if (websiteChart!=null&&websiteChart.size() > 0) {
+					list = websiteChart;
+				}
 			}
+			
 		} catch (Exception e) {
 			auditLogThread.setExceptionInfo("网站流量分析统计数据检索失败:"+e.getMessage());
 			logger.error("网站流量分析统计数据检索失败:"+ExceptionUtil.getExceptionMsg(e));
@@ -583,16 +616,28 @@ public class DashboardServiceController extends BaseRestController {
 	}
 	@RequestMapping(value = "trafficWebTypeChart", method = RequestMethod.GET)
 	@ApiOperation(value = "HTTP网站分类分析统计", httpMethod = "GET", notes = "对应某个网站类型分类统计图")
-	public Map<String, ?> trafficWebTypeChart(Integer websiteServiceId,Model model, HttpServletRequest request, HttpServletResponse response) {
+	public Map<String, ?> trafficWebTypeChart(String beginDate,String endDate,Integer websiteServiceId,Model model, HttpServletRequest request, HttpServletResponse response) {
 		
 		long start = System.currentTimeMillis();
 		AuditLogThread auditLogThread = super.saveRequestLog(servicesRequestLogService, Constants.OPACTION_GET, request, null);
 		List<Map> list = new ArrayList<Map>();
 		try {
-			List<Map> websiteChart = dashboardService.getDomainByWebsiteServiceId(websiteServiceId);
-			if (websiteChart!=null&&websiteChart.size() > 0) {
-				list = websiteChart;
+			if(!StringUtils.isEmpty(beginDate)&&!StringUtils.isEmpty(endDate)) {
+				Date begin = DateUtils.parseDate(beginDate);
+				Date end = DateUtils.parseDate(endDate);
+				// 带查询时间查询所有
+				List<Map> websiteChart = dashboardService.getWebsiteDetailsById(websiteServiceId,begin,end);
+				if (websiteChart!=null&&websiteChart.size() > 0) {
+					list = websiteChart;
+				}
+			}else {
+				// 不带时间默认top10
+				List<Map> websiteChart = dashboardService.getWebsiteTop10ById(websiteServiceId);
+				if (websiteChart!=null&&websiteChart.size() > 0) {
+					list = websiteChart;
+				}
 			}
+			
 		} catch (Exception e) {
 			auditLogThread.setExceptionInfo("HTTP网站分类分析统计失败:"+e.getMessage());
 			logger.error("HTTP网站分类分析统计失败:"+ExceptionUtil.getExceptionMsg(e));
@@ -611,15 +656,26 @@ public class DashboardServiceController extends BaseRestController {
 	}
 	@RequestMapping(value = "trafficTopicAndDomainChart", method = RequestMethod.GET)
 	@ApiOperation(value = "HTTP网站主题分类分析统计", httpMethod = "GET", notes = "对应某个网站主题类型分类统计图")
-	public Map<String, ?> trafficTopicAndDomainChart(Integer websiteServiceId,Model model, HttpServletRequest request, HttpServletResponse response) {
+	public Map<String, ?> trafficTopicAndDomainChart(String beginDate,String endDate,Model model, HttpServletRequest request, HttpServletResponse response) {
 		
 		long start = System.currentTimeMillis();
 		AuditLogThread auditLogThread = super.saveRequestLog(servicesRequestLogService, Constants.OPACTION_GET, request, null);
 		List<Map> list = new ArrayList<Map>();
 		try {
-			List<Map> websiteChart = dashboardService.getTopicAndDomainList();
-			if (websiteChart!=null&&websiteChart.size() > 0) {
-				list = websiteChart;
+			if(!StringUtils.isEmpty(beginDate)&&!StringUtils.isEmpty(endDate)) {
+				Date begin = DateUtils.parseDate(beginDate);
+				Date end = DateUtils.parseDate(endDate);
+				// 带查询时间查询所有
+				List<Map> websiteChart = dashboardService.getTopicDetails(begin,end);
+				if (websiteChart!=null&&websiteChart.size() > 0) {
+					list = websiteChart;
+				}
+			}else {
+				// 不带时间默认top10
+				List<Map> websiteChart = dashboardService.getTopicTop10();
+				if (websiteChart!=null&&websiteChart.size() > 0) {
+					list = websiteChart;
+				}
 			}
 		} catch (Exception e) {
 			auditLogThread.setExceptionInfo("HTTP网站主题分类分析数据检索失败:"+e.getMessage());

src/main/java/com/nis/web/dao/dashboard/TrafficAppStatisticDao.java

@@ -13,5 +13,5 @@ public interface TrafficAppStatisticDao {
 
 	TrafficAppStatistic getMaxStatTime();
 	List<Map> appChart(@Param("statTime")Date statTime);
-	List<Map> getAppList(@Param("statTime")Date statTime,@Param("beginTime")String beginTime,@Param("endTime")String endTime);
+	List<Map> getAppList(@Param("beginTime")String beginTime,@Param("endTime")String endTime,@Param("appType")Integer appType);
 }

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

@@ -32,12 +32,12 @@
 	SELECT app_type,SUM(link_num) AS link_num,SUM(c2s_pkt_num+s2c_pkt_num) AS packets,
 	((SUM(c2s_byte_len+s2c_byte_len)*8)/300/1024/1024/1024) AS GByte 
 	FROM traffic_app_statistic WHERE
-	<if test="beginTime==null or endTime==null">
-			stat_time > DATE_SUB(#{statTime},INTERVAL 1 HOUR)
-	</if>
 	<if test="beginTime!=null and endTime!=null">
 			stat_time >= #{beginTime} and stat_time &lt;= #{endTime}
 	</if>
+	<if test="appType!=null and appType!=''">
+			and app_type=#{appType}
+	</if>
 	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>

src/main/java/com/nis/web/dao/dashboard/TrafficHttpStatisticDao.java

@@ -30,4 +30,7 @@ public interface TrafficHttpStatisticDao {
 	List<Map> getDomainByTopicId(@Param("statTime") Date statTime, @Param("endTime") Date endTime);
 
 	List getIdByWebSiteId(@Param("websiteId") Integer websiteId);
+
+	List<Map> getDomainList(@Param("beginDate")Date beginDate, @Param("endDate") Date endDate);
+
 }

src/main/java/com/nis/web/dao/dashboard/TrafficHttpStatisticDao.xml

@@ -60,7 +60,7 @@
 
 	<!--获取上个时间段该网站站域名流量的数据量 -->
 	<select id="preWebsiteListCount" resultType="java.util.HashMap">
-		select web_id webId,	SUM(c2s_byte_len + s2c_byte_len) count from
+		select web_id webId,SUM(c2s_byte_len + s2c_byte_len) count from
 		traffic_http_statistic t where
 		<![CDATA[ stat_time>= #{statTime} and stat_time< #{endTime} group by t.web_id ]]>
 
@@ -100,9 +100,15 @@ FROM
 
 	<!-- 根据主题分组获取子域名 -->
 	<select id="getDomainByTopicId" resultType="java.util.HashMap">
-		select web_id webId,sum(c2s_byte_len + s2c_byte_len) count from
+		select web_id webId,link_num linkNum,SUM(c2s_pkt_num+s2c_pkt_num) packets,sum(c2s_byte_len + s2c_byte_len) count from
 		traffic_http_statistic t where
-		<![CDATA[ stat_time>= #{statTime} and stat_time< #{endTime} group by t.web_id ]]>
+		<![CDATA[ stat_time>= #{statTime} and stat_time< #{endTime} group by t.web_id]]>
+	</select>
+	<!-- 获取域名列表 -->
+	<select id="getDomainList" resultType="java.util.HashMap">
+		select web_id webId,link_num linkNum,SUM(c2s_pkt_num+s2c_pkt_num) packets,sum(c2s_byte_len + s2c_byte_len) count from
+		traffic_http_statistic t where
+		<![CDATA[ stat_time>= #{beginDate} and stat_time< #{endDate} group by t.web_id order by count]]>
 	</select>
 
 

src/main/java/com/nis/web/dao/dashboard/TrafficIpActiveStatisticDao.java

@@ -15,9 +15,9 @@ public interface TrafficIpActiveStatisticDao {
 //	List<TrafficIpActiveStatistic> getIpList(TrafficIpActiveStatistic trafficIpActiveStatistic);
 	TrafficIpActiveStatistic getMaxStatTime();
 
-	ArrayList<TrafficIpActiveStatistic> ipActiveFiveMinute(@Param("ipAddr") String ipAddr,@Param("statTime")Date statTime);
+	ArrayList<TrafficIpActiveStatistic> ipActiveFiveMinute( @Param("ipAddr") String ipAddr,@Param("beginDate")Date beginDate,@Param("endDate")Date endDate);
 
-	ArrayList<HashMap> ipActiveOneHour(@Param("ipAddr") String ipAddr,@Param("statTime")Date statTime);
+	ArrayList<HashMap> ipActiveOneHour(@Param("ipAddr") String ipAddr,@Param("beginDate")Date beginDate,@Param("endDate")Date endDate);
 
-	ArrayList<LinkedHashMap> ipActiveChart(@Param("statTime")Date statTime);
+	ArrayList<LinkedHashMap> ipActiveChart(@Param("beginDate")Date beginDate,@Param("endDate")Date endDate);
 }

src/main/java/com/nis/web/dao/dashboard/TrafficIpActiveStatisticDao.xml

@@ -26,31 +26,37 @@
   <select id="getMaxStatTime" resultType="com.nis.domain.restful.dashboard.TrafficIpActiveStatistic">
   	SELECT stat_time statTime FROM traffic_ip_active_statistic order by stat_time desc limit 1
   </select>
-    <!-- IP流量统计五分钟-->
+    <!-- IP流量统计五分钟TOp10-->
   <select id="ipActiveChart" resultType="java.util.LinkedHashMap">
   	SELECT ip_addr ipAddr, SUM(c2s_byte_len+s2c_byte_len) linkNum FROM traffic_ip_active_statistic
-	WHERE stat_time > DATE_SUB(#{statTime},INTERVAL 1 hour)
+	WHERE
+	<![CDATA[ stat_time> #{beginDate} and stat_time<=#{endDate}]]>
 	GROUP BY ip_addr ORDER BY linkNum DESC limit 0,10
   </select>
   
     <!-- IP流量统计一小时内每隔五分钟数据-->
-  <select id="ipActiveFiveMinute" resultMap="BaseResultMap">
+<!--   <select id="ipActiveFiveMinute" resultMap="BaseResultMap">
 	select IFNULL(p.sumNum,0) linkNum, date_format(a.min5,'%Y-%m-%d %H:%i') time from 
-	(select date_sub(#{statTime},interval @mycnt :=@mycnt + 5 MINUTE) min5
-	from (SELECT @mycnt:=-5) m, traffic_ip_active_statistic limit 12) a
+	(select date_sub(#{endDate},interval @mycnt :=@mycnt + 5 MINUTE) min5
+	from (SELECT @mycnt:=-5) m, traffic_ip_active_statistic limit #{inter}) a
 	LEFT JOIN (
 	SELECT date_format(stat_time, '%Y-%m-%d %H:%i') timestamp, SUM(c2s_byte_len+s2c_byte_len) sumNum FROM traffic_ip_active_statistic 
-	WHERE ip_addr=#{ipAddr} AND stat_time > DATE_SUB(#{statTime,jdbcType=TIMESTAMP}, INTERVAL 1 HOUR) 
+	WHERE ip_addr=#{ipAddr} AND <![CDATA[ stat_time> #{beginDate} and stat_time<=#{endDate}]]>
 	GROUP by timestamp
 	) p 
 	on date_format(p.timestamp,'%Y-%m-%d %H:%i')=date_format(a.min5,'%Y-%m-%d %H:%i')
 	ORDER by time
+  </select> -->
+  <select id="ipActiveFiveMinute" resultMap="BaseResultMap">
+  	select SUM(c2s_byte_len+s2c_byte_len) count ,stat_time time from traffic_ip_active_statistic
+  	WHERE ip_addr=#{ipAddr} and
+	<![CDATA[ stat_time> #{beginDate} and stat_time<=#{endDate}]]>
   </select>
     <!-- IP流量统计一小时-->
   <select id="ipActiveOneHour" resultType="java.util.HashMap">
 	SELECT ip_addr ipAddr,area_id areaId,SUM(c2s_byte_len+s2c_byte_len) count, link_num linkNum ,c2s_pkt_num c2sPktNum,s2c_pkt_num s2cPktNum,c2s_byte_len c2sByteLen,s2c_byte_len s2cByteLen,date_format(stat_time, '%Y-%m-%d %H:%i:%s') statTime FROM traffic_ip_active_statistic
 	WHERE ip_addr=#{ipAddr}
-	and stat_time > DATE_SUB(#{statTime},INTERVAL 1 HOUR) GROUP BY statTime
+	and <![CDATA[ stat_time> #{beginDate} and stat_time<=#{endDate}]]> GROUP BY statTime
 	ORDER BY count DESC LIMIT 1
   </select>
   

src/main/java/com/nis/web/service/BaseService.java

@@ -162,7 +162,7 @@ public abstract class BaseService {
 	 * @param set             所有的count
 	 * @param countAndViewMap key是count,val是viewmap
 	 */
-	protected List<Map> getTop10Data(Set<Long> set, Map<Long, List<Map>> countAndViewMap) {
+	protected List<Map> getTop10Data(Set<Long> set, Map<Long, List<Map>> countAndViewMap,int param) {
 		List<Map> topicList = new ArrayList<Map>();
 		Long[] countArr = new Long[set.size()];
 		set.toArray(countArr);
@@ -172,7 +172,7 @@ public abstract class BaseService {
 			boolean exit = false;
 			for (Map map : list) {
 				topicList.add(map);
-				if (topicList.size() == 10) {
+				if (param==1&&topicList.size() == 10) {
 					exit = true;
 					break;
 				}

src/main/java/com/nis/web/service/restful/DashboardService.java

@@ -3,6 +3,7 @@ package com.nis.web.service.restful;
 import com.beust.jcommander.internal.Maps;
 import com.nis.domain.restful.NtcEntranceReport;
 import com.nis.domain.restful.dashboard.*;
+import com.nis.util.DateUtils;
 import com.nis.util.StringUtils;
 import com.nis.web.dao.dashboard.*;
 import com.nis.web.service.BaseService;
@@ -416,22 +417,24 @@ public class DashboardService extends BaseService {
 	 * 
 	 * @return
 	 */
-	public List<HashMap> ipActiveFiveMinute() {
+/*	public List<HashMap> ipActiveFiveMinute(Date beginDate,Date endDate) {
 		TrafficIpActiveStatistic maxStatTime = trafficIpActiveStatisticDao.getMaxStatTime();
 		ArrayList<HashMap> listMap = new ArrayList<HashMap>();
 		if (maxStatTime != null && maxStatTime.getStatTime() != null) {
 			Date statTime = maxStatTime.getStatTime();
 			// 查询最近五分钟TOP10
-			ArrayList<LinkedHashMap> list = trafficIpActiveStatisticDao.ipActiveChart(statTime);
-			if (list != null && list.size() > 0) {
-				for (LinkedHashMap map : list) {
+			ArrayList<LinkedHashMap> ipListTop10 = trafficIpActiveStatisticDao.ipActiveChart(beginDate,endDate);
+			if (ipListTop10 != null && ipListTop10.size() > 0) {
+				for (LinkedHashMap map : ipListTop10) {
 					HashMap m = new HashMap();
 					if (map.get("ipAddr") != null) {
 						String ipAddr = (String) map.get("ipAddr");
 						m.put("ipAddr", ipAddr);
 						// 根据五分钟TOP10IP，查询TOP10中每个IP最近一小时的变化
-						ArrayList<TrafficIpActiveStatistic> ipList = trafficIpActiveStatisticDao
-								.ipActiveFiveMinute(ipAddr, statTime);
+						long beforeTime = beginDate.getTime();
+						long afterTime = endDate.getTime();
+						Long inter=(afterTime - beforeTime) / (1000 * 60 * 5);
+						ArrayList<TrafficIpActiveStatistic> ipList = trafficIpActiveStatisticDao.ipActiveFiveMinute(inter,ipAddr, beginDate,endDate);
 						List linkList = new ArrayList();
 						List timeList = new ArrayList();
 						if (ipList != null && ipList.size() > 0) {
@@ -451,24 +454,79 @@ public class DashboardService extends BaseService {
 		}
 
 		return listMap;
+	}*/
+	/**
+	 * 获取活跃IPtop10 的趋势图
+	 */
+	public List<HashMap> ipActiveFiveMinute(Date beginDate,Date endDate) {
+		ArrayList<HashMap> listMap = new ArrayList<HashMap>();
+			ArrayList<LinkedHashMap> ipListTop10 = trafficIpActiveStatisticDao.ipActiveChart(beginDate,endDate);
+			if (ipListTop10 != null && ipListTop10.size() > 0) {
+				for (LinkedHashMap map : ipListTop10) {
+					HashMap m1 = new HashMap();
+					String ipAddr = (String) map.get("ipAddr");
+					m1.put("ipAddr", ipAddr);
+					ArrayList<TrafficIpActiveStatistic> ipList = trafficIpActiveStatisticDao.ipActiveFiveMinute(ipAddr, beginDate,endDate);
+					List timeList = new ArrayList();
+					List sumList1 = new ArrayList();
+					
+					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(DateUtils.formatDateTime(beginDate));
+					Long e = dateToStamp(DateUtils.formatDateTime(endDate));
+					int num=0;
+					Long pointTime=b;
+					while(pointTime<e){
+						Map rm=new HashMap();
+						Long sum1=0l;
+						if(pointTime>=e){
+							break; //停止 
+						}
+						for (TrafficIpActiveStatistic e1 : ipList) {
+							// 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.getCount();
+							}
+						}
+						// 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);
+							timeList.add(stampToDate(pointTime));
+						}
+						if(pointTime<e-inter) {
+							sumList1.add(sum1);
+							timeList.add(stampToDate(pointTime));
+						}
+						num=num+1;
+						pointTime =b+inter*num;
+					}
+					m1.put("linkNum", sumList1);
+					m1.put("statTime", timeList);
+					listMap.add(m1);
+				}
+			}
+		return listMap;
 	}
-
 	/**
 	 * 根据活跃IP最近五分钟TOP10，查询近1小时最大值
 	 * 
 	 * @return
 	 */
-	public List<HashMap> ipActiveOneHour() {
+	public List<HashMap> ipActiveOneHour(Date beginDate,Date endDate) {
 		TrafficIpActiveStatistic maxStatTime = trafficIpActiveStatisticDao.getMaxStatTime();
 		ArrayList<HashMap> listMap = new ArrayList<HashMap>();
 		if (maxStatTime != null && maxStatTime.getStatTime() != null) {
 			Date statTime = maxStatTime.getStatTime();
-			ArrayList<LinkedHashMap> list = trafficIpActiveStatisticDao.ipActiveChart(statTime);
+			ArrayList<LinkedHashMap> list = trafficIpActiveStatisticDao.ipActiveChart(beginDate,endDate);
 			if (list != null && list.size() > 0) {
 				for (LinkedHashMap map : list) {
 					if (map.get("ipAddr") != null) {
 						String ipAddr = (String) map.get("ipAddr");
-						ArrayList<HashMap> iplList = trafficIpActiveStatisticDao.ipActiveOneHour(ipAddr, statTime);
+						ArrayList<HashMap> iplList = trafficIpActiveStatisticDao.ipActiveOneHour(ipAddr, beginDate,endDate);
 						listMap.add(iplList.get(0));
 					}
 				}
@@ -478,13 +536,19 @@ public class DashboardService extends BaseService {
 		return listMap;
 	}
 
+	/**
+	 * 活跃IP首页top10
+	 * @param beginDate
+	 * @param endDate
+	 * @return
+	 */
 	@SuppressWarnings("rawtypes")
-	public List<LinkedHashMap> ipActiveChart() {
-		TrafficIpActiveStatistic maxStatTime = trafficIpActiveStatisticDao.getMaxStatTime();
+	public List<LinkedHashMap> ipActiveChart(Date beginDate, Date endDate) {
+//		TrafficIpActiveStatistic maxStatTime = trafficIpActiveStatisticDao.getMaxStatTime();
 		ArrayList<LinkedHashMap> list = new ArrayList<>();
-		if (maxStatTime != null && maxStatTime.getStatTime() != null) {
-			Date statTime = maxStatTime.getStatTime();
-			list = trafficIpActiveStatisticDao.ipActiveChart(statTime);
+//		if (maxStatTime != null && maxStatTime.getStatTime() != null) {
+//			Date statTime = maxStatTime.getStatTime();
+			list = trafficIpActiveStatisticDao.ipActiveChart(beginDate,endDate);
 			if (list != null && list.size() > 0) {
 				for (LinkedHashMap map : list) {
 					if (map.get("ipAddr") != null) {
@@ -494,7 +558,7 @@ public class DashboardService extends BaseService {
 					}
 				}
 			}
-		}
+//		}
 		return list;
 	}
 
@@ -560,13 +624,13 @@ public class DashboardService extends BaseService {
 	 * 
 	 * @return
 	 */
-	public List<Map> getAppList(String startTime, String endTime) {
-		TrafficAppStatistic maxStatTime = trafficAppStatisticDao.getMaxStatTime();
+	public List<Map> getAppList(String startTime, String endTime,Integer appType) {
+//		TrafficAppStatistic maxStatTime = trafficAppStatisticDao.getMaxStatTime();
 		List<Map> list = new ArrayList<Map>();
-		if (maxStatTime != null && maxStatTime.getStatTime() != null) {
-			Date statTime = maxStatTime.getStatTime();
-			list = trafficAppStatisticDao.getAppList(statTime, startTime, endTime);
-		}
+//		if (maxStatTime != null && maxStatTime.getStatTime() != null) {
+//			Date statTime = maxStatTime.getStatTime();
+			list = trafficAppStatisticDao.getAppList(startTime, endTime,appType);
+//		}
 		return list;
 	}
 
@@ -700,20 +764,42 @@ public class DashboardService extends BaseService {
 //		}
 //		return result;
 //	}
-
+	/**
+	 * 
+	 * 网站子域名详情
+	 * @param beginDate
+	 * @param endDate
+	 * @return
+	 */
+	public List<Map> getWebsiteDetailsById(Integer websiteServiceId,Date beginDate,Date endDate){
+		List<Map> list = getDomainByWebsiteServiceId(websiteServiceId,beginDate,endDate,null);
+		return list;
+	}
+/**
+ * 
+ * 网站子域名TOP10 默认一小时
+ * @param beginDate
+ * @param endDate
+ * @return
+ */
+public List<Map> getWebsiteTop10ById(Integer websiteServiceId){
+	Date startTime = getBeforeByHourTime(1);// 获取上一个小时
+	List<Map> list = getDomainByWebsiteServiceId(websiteServiceId,startTime,new Date(),"top");
+	return list;
+}
 	/**
 	 * 根据网站服务查询子域名
 	 * 
 	 * @param websiteServiceId
 	 * @return list
 	 */
-	public List<Map> getDomainByWebsiteServiceId(Integer websiteServiceId) {
+	public List<Map> getDomainByWebsiteServiceId(Integer websiteServiceId,Date beginDate,Date endDate,String top) {
 
-		Date statTime = getBeforeByHourTime(1);// 获取上一个小时
+//		Date statTime = getBeforeByHourTime(1);// 获取上一个小时
 
 		List idList = trafficHttpStatisticDao.getIdByWebSiteId(websiteServiceId);
 
-		List<Map> matchList = trafficHttpStatisticDao.getDomainByWebsiteServiceId(idList, statTime, new Date());// 获取webid和count的对应关系,key是webid,val是count
+		List<Map> matchList = trafficHttpStatisticDao.getDomainByWebsiteServiceId(idList, beginDate, endDate);// 获取webid和count的对应关系,key是webid,val是count
 // 获取webid和count的对应关系,key是webid,val是count
 		Set<Long> set = new HashSet<>();
 		Map<Long, List<Map>> countMap = new HashMap();// 存储count和map的对应关系,后面根据count过滤,获取top10的count
@@ -729,7 +815,12 @@ public class DashboardService extends BaseService {
 				countMap.put(count, listMap);
 			}
 		}
-		List<Map> top10Data = getTop10Data(set, countMap);
+		List<Map> top10Data =new ArrayList();
+		if(top!=null) {
+			top10Data = getTop10Data(set, countMap,1);
+		}else {
+			top10Data = getTop10Data(set, countMap,2);
+		}
 		List<String> notTop10List = new ArrayList<>();// 获取不在top10中的webid,用来查询标记为orther
 		for (Map map : matchList) {
 			String webIdStr = String.valueOf(map.get("webId"));
@@ -747,7 +838,7 @@ public class DashboardService extends BaseService {
 
 		// 查询固定网站下的域名除了TOP10以外的others域名
 		if (matchList != null && matchList.size() > 10) {
-			Map others = trafficHttpStatisticDao.websiteDomainOthers(notTop10List, statTime, new Date());
+			Map others = trafficHttpStatisticDao.websiteDomainOthers(notTop10List, beginDate, endDate);
 			if (others != null && others.size() > 0) {
 				others.put("webId", "-1");
 				top10Data.add(others);
@@ -756,17 +847,39 @@ public class DashboardService extends BaseService {
 		return top10Data;
 
 	}
-
+	
+	/**
+	 * 
+	 * 网站详情
+	 * @param beginDate
+	 * @param endDate
+	 * @return
+	 */
+	public List<Map> getWebsiteDetails(Date beginDate,Date endDate){
+		List<Map> list = trafficHttpStatisticDao.getDomainList(beginDate,endDate);
+		return list;
+	}
+/**
+ * 
+ * 网站TOP10 默认一小时
+ * @param beginDate
+ * @param endDate
+ * @return
+ */
+public List<Map> getWebsiteTop10(){
+	Date startTime = getBeforeByHourTime(1);// 获取上一个小时
+	List<Map> list = getDomainByWebsiteList(startTime,new Date(),"top");
+	return list;
+}
 	/**
 	 * 获取网站列表
 	 * 
 	 * @return
 	 */
 	@SuppressWarnings("unchecked")
-	public List<Map> getDomainByWebsiteList() {
-		Date statTime = getBeforeByHourTime(1);// 获取上一个小时
+	public List<Map> getDomainByWebsiteList(Date beginDate,Date endDate,String top) {
 		Map<String, List<String>> websiteIdAndIdMap = new HashMap<>();// 存储websiteServiceId和id的对应关系,一个websiteServiceId有多个id
-		List<Map> websiteIdAndidList = trafficHttpStatisticDao.getDomainByWebsiteList(statTime, new Date());// 获取website_service_id和id的对应关系,group
+		List<Map> websiteIdAndidList = trafficHttpStatisticDao.getDomainByWebsiteList(beginDate, endDate);// 获取website_service_id和id的对应关系,group
 																											// by
 																											// website_service_id,id
 		for (Map map : websiteIdAndidList) {
@@ -785,11 +898,13 @@ public class DashboardService extends BaseService {
 
 		Set<Long> set = new HashSet<>();
 		Map<Long, List<Map>> countAndViewMap = new HashMap<>();// 存储count和map的对应关系,后面根据count过滤,获取top10的count
-		List<Map> webIdAndCountList = trafficHttpStatisticDao.preWebsiteListCount(statTime, new Date());// 获取最近一小时的webid和count的关系
-		List<Map> prevWebIdAndCountList = trafficHttpStatisticDao.preWebsiteListCount(getBeforeByHourTime(2), statTime);// 获取最近一小时的webid和count的关系
+		List<Map> webIdAndCountList = trafficHttpStatisticDao.preWebsiteListCount(beginDate, endDate);// 获取最近一小时的webid和count的关系
+		List<Map> prevWebIdAndCountList = trafficHttpStatisticDao.preWebsiteListCount(getBeforeByHourTime(2), beginDate);// 获取最近一小时的webid和count的关系
 		for (String websiteServiceId : websiteIdAndIdMap.keySet()) {// 遍历上面获取的websiteServiceId和id的对应关系,拼接json
 			Map viewMap = new HashMap<>();
 			long count = 0l;// 记录当前websiteServiceId所有的count
+//			long linkNum = 0l;// 
+//			long packets = 0l;// 
 			long prevCount = 0l;// 记录当前websiteServiceId所有的count
 			List<String> idList = websiteIdAndIdMap.get(websiteServiceId);// 根据websiteServiceId获取对应的id
 			for (String id : idList) {
@@ -797,9 +912,17 @@ public class DashboardService extends BaseService {
 					String webId = String.valueOf(webIdAndCountMap.get("webId"));
 					if (webId != null && webId.equals(id)) {// 如果webid和id相等则获取count数据并统计
 						String countStr = String.valueOf(webIdAndCountMap.get("count"));
+//						String linkNumStr = String.valueOf(webIdAndCountMap.get("linkNum"));
+//						String packetsStr = String.valueOf(webIdAndCountMap.get("packets"));
 						if (countStr != null) {
 							count += Long.parseLong(countStr);// 将count累加
 						}
+//						if (linkNumStr != null) {
+//							linkNum += Long.parseLong(linkNumStr);// 将count累加
+//						}
+//						if (packetsStr != null) {
+//							packets += Long.parseLong(packetsStr);// 将count累加
+//						}
 					}
 				}
 				for (Map webIdAndCountMap : prevWebIdAndCountList) {// 遍历webid和count
@@ -815,6 +938,8 @@ public class DashboardService extends BaseService {
 			}
 			viewMap.put("websiteServiceId", websiteServiceId);
 			viewMap.put("count", count);
+//			viewMap.put("linkNum", linkNum);
+//			viewMap.put("packets", packets);
 			viewMap.put("pktNum", 0);
 			viewMap.put("byteLen", 0);
 			viewMap.put("preCount", prevCount);
@@ -828,18 +953,48 @@ public class DashboardService extends BaseService {
 			}
 			set.add(count);
 		}
-		return getTop10Data(set, countAndViewMap);
+		List<Map> dataList = new ArrayList();
+		if(top!=null) {
+			dataList = getTop10Data(set, countAndViewMap,1);// 取top10
+		}else {
+			dataList = getTop10Data(set, countAndViewMap,2);
+		}
+		return dataList;
 	}
-
+	
+	
+	/**
+	 * 
+	 * 主题详情
+	 * @param beginDate
+	 * @param endDate
+	 * @return
+	 */
+	public List<Map> getTopicDetails(Date beginDate,Date endDate){
+		List<Map> topicAndDomainList = getTopicAndDomainList(beginDate,endDate,null);
+		return topicAndDomainList;
+	}
+/**
+ * 
+ * 主题TOP10 默认一小时
+ * @param beginDate
+ * @param endDate
+ * @return
+ */
+public List<Map> getTopicTop10(){
+	Date startTime = getBeforeByHourTime(1);// 获取上一个小时
+	List<Map> topicAndDomainList = getTopicAndDomainList(startTime,new Date(),"top");
+	return topicAndDomainList;
+}
 	/**
 	 * 主题网站分类，域名
 	 * 
 	 **/
-	public List<Map> getTopicAndDomainList() {
+	public List<Map> getTopicAndDomainList(Date beginDate,Date endDate,String top) {
 
-		Date startTime = getBeforeByHourTime(1);// 获取上一个小时
+		
 		Map<String, List<String>> topicIdAndIdMap = new HashMap<>();// 存储topicid和id的对应关系,一个topicid有多个id
-		List<Map> topicIdAndIdList = trafficHttpStatisticDao.getDomainByTopicList(startTime, new Date());// 获取最近一个小时topicId和id的对应关系,group
+		List<Map> topicIdAndIdList = trafficHttpStatisticDao.getDomainByTopicList(beginDate,endDate );// 获取最近一个小时topicId和id的对应关系,group
 		for (Map map : topicIdAndIdList) {
 			Object topicIdObj = map.get("topicId");
 			Object idObj = map.get("id");
@@ -856,26 +1011,40 @@ public class DashboardService extends BaseService {
 
 		Set<Long> set = new HashSet<>();
 		Map<Long, List<Map>> countAndViewMap = new HashMap<>();// 存储count和map的对应关系,后面根据count过滤,获取top10的count
-		List<Map> webIdAndCountList = trafficHttpStatisticDao.getDomainByTopicId(startTime, new Date());// 获取最近一小时的webid和count的关系
+		List<Map> webIdAndCountList = trafficHttpStatisticDao.getDomainByTopicId(beginDate, endDate);// 获取最近一小时的webid和count的关系
 		for (String topicId : topicIdAndIdMap.keySet()) {// 遍历上面获取的topicid和id的对应关系,拼接json
 			Map viewMap = new HashMap<>();
 			viewMap.put("topicId", topicId);
 			List<Map> list = new ArrayList<>();
 			long count = 0l;// 记录当前topicid所有的count
+			long linkNum = 0l; 
+			long packets = 0l;
 			List<String> idList = topicIdAndIdMap.get(topicId);// 根据topicid获取对应的id
 			for (String id : idList) {
 				for (Map webIdAndCountMap : webIdAndCountList) {// 遍历webid和count
 					String webId = String.valueOf(webIdAndCountMap.get("webId"));
 					if (webId != null && webId.equals(id)) {// 如果webid和id相等则获取count数据并统计
 						String countStr = String.valueOf(webIdAndCountMap.get("count"));
+						String linkNumStr = String.valueOf(webIdAndCountMap.get("linkNum"));
+						String packetsStr = String.valueOf(webIdAndCountMap.get("packets"));
 						if (countStr != null) {
 							count += Long.parseLong(countStr);// 将count累加
 							list.add(webIdAndCountMap);
 						}
+						if (linkNumStr != null) {
+							linkNum += Long.parseLong(linkNumStr);// 将count累加
+							list.add(webIdAndCountMap);
+						}
+						if (packetsStr != null) {
+							packets += Long.parseLong(packetsStr);// 将count累加
+							list.add(webIdAndCountMap);
+						}
 					}
 				}
 			}
 			viewMap.put("count", count);
+			viewMap.put("linkNum", linkNum);
+			viewMap.put("packets", packets);
 			viewMap.put("domainData", list);
 			if (countAndViewMap.containsKey(count)) {// 将每个count和对应的viewmap放到map中,count可能相同所以value是list
 				countAndViewMap.get(count).add(viewMap);
@@ -886,7 +1055,13 @@ public class DashboardService extends BaseService {
 			}
 			set.add(count);
 		}
-		return getTop10Data(set, countAndViewMap);
+		List<Map> dataList = new ArrayList();
+		if(top!=null) {
+			dataList = getTop10Data(set, countAndViewMap,1);
+		}else {
+			dataList = getTop10Data(set, countAndViewMap,2);
+		}
+		return dataList;
 	}
 
 }