Merge pull request kaltura#2154 from kaltura/Jupiter-10.3.0-top-playb…

…ackContext-report

Jupiter 10.3.0 top playback context report

alpha/apps/kaltura/lib/reports/myReportsMgr.class.php

@@ -40,6 +40,7 @@ class myReportsMgr
 	const REPORT_TYPE_OPERATION_SYSTEM = 22;
 	const REPORT_TYPE_BROWSERS = 23;
 	const REPORT_TYPE_LIVE = 24;
+	const REPORT_TYPE_TOP_PLAYBACK_CONTEXT = 25;
 
 	const REPORTS_TABLE_MAX_QUERY_SIZE = 20000;
 	const REPORTS_CSV_MAX_QUERY_SIZE = 130000;
@@ -59,7 +60,8 @@ class myReportsMgr
 	static $end_user_filter_get_count_reports = array (self::REPORT_TYPE_PLATFORMS,
 										self::REPORT_TYPE_OPERATION_SYSTEM, 
 										self::REPORT_TYPE_BROWSERS,
-										self::REPORT_TYPE_TOP_CONTENT);
+										self::REPORT_TYPE_TOP_CONTENT,
+										self::REPORT_TYPE_TOP_PLAYBACK_CONTEXT);
 
 
 	public static function runQuery ( $query_file , $map , $debug = false )
@@ -671,7 +673,7 @@ private static function createCacheKey ( $partner_id , $report_type , reportsInp
 			$input_filter->from_date . $input_filter->to_date . $input_filter->keywords . $input_filter->search_in_admin_tags . $input_filter->search_in_tags . $input_filter->interval .
 			$object_ids . $input_filter->categories;
 		if ($input_filter instanceof endUserReportsInputFilter)
-			$key = $key .  $input_filter->application . $input_filter->userIds . $input_filter->playbackContext;
+			$key = $key .  $input_filter->application . $input_filter->userIds . $input_filter->playbackContext . $input_filter->ancestorPlaybackContext;
 		return $key;
 	}
 
@@ -731,23 +733,30 @@ private static function executeQueryByType ( $partner_id , $report_type , $repor
 			$category_ids_clause = "1=1"; 
 			if ($input_filter instanceof endUserReportsInputFilter)
 			{
-				if ($input_filter->playbackContext)
+				if ($input_filter->playbackContext || $input_filter->ancestorPlaybackContext)
 				{
 					$categoryFilter = new categoryFilter();
-					$categoryFilter->set("_in_full_name", $input_filter->playbackContext);
-					$c = KalturaCriteria::create(categoryPeer::OM_CLASS);
-					$categoryFilter->attachToCriteria($c);
-					$c->applyFilters();
-
-					$categoryIdsFromDB = $c->getFetchedIds();
-
-					if (count($categoryIdsFromDB))
-						$categoryIds = implode(",", $categoryIdsFromDB);
-					else
+					if ($input_filter->playbackContext && $input_filter->ancestorPlaybackContext)
 						$categoryIds = category::CATEGORY_ID_THAT_DOES_NOT_EXIST;
+					else {
+						if ($input_filter->playbackContext)
+							$categoryFilter->set("_in_full_name", $input_filter->playbackContext);
+						if ($input_filter->ancestorPlaybackContext)
+							$categoryFilter->set("_matchor_likex_full_name", $input_filter->ancestorPlaybackContext);
+
+						$c = KalturaCriteria::create(categoryPeer::OM_CLASS);
+						$categoryFilter->attachToCriteria($c);
+						$c->applyFilters();
+
+						$categoryIdsFromDB = $c->getFetchedIds();
+
+						if (count($categoryIdsFromDB))
+							$categoryIds = implode(",", $categoryIdsFromDB);
+						else
+							$categoryIds = category::CATEGORY_ID_THAT_DOES_NOT_EXIST;
+					}
 
 					$category_ids_clause = "ev.context_id in ( $categoryIds )";
-
 				}
 			}
 
@@ -915,7 +924,8 @@ private static function executeQueryByType ( $partner_id , $report_type , $repor
 		self::REPORT_TYPE_PLATFORMS => 'platforms',
 		self::REPORT_TYPE_OPERATION_SYSTEM => 'os',
 		self::REPORT_TYPE_BROWSERS => 'browsers',
-		self::REPORT_TYPE_LIVE => "live" ,
+		self::REPORT_TYPE_LIVE => "live",
+		self::REPORT_TYPE_TOP_PLAYBACK_CONTEXT => "top_playback_context",
 
 	);
 
@@ -1112,6 +1122,14 @@ private static function getOrderBy ( $report_type , $order_by )
 			),
 			"live" => array (
 				"count_plays"
+			),
+			"top_playback_context" => array (
+				"count_plays" ,	
+				"sum_time_viewed" ,
+				"avg_time_viewed" ,
+				"count_loads" ,
+				"avg_view_drop_off",
+				"load_play_ratio" ,		
 			)
 		);
 
@@ -1433,13 +1451,14 @@ class endUserReportsInputFilter extends reportsInputFilter
 	public $application;
 	public $userIds;
 	public $playbackContext;
+	public $ancestorPlaybackContext;
 
 	public function getFilterBy() {
 		$filterBy = ""; 
-		if ($this->playbackContext != null) 
+		if ($this->playbackContext != null || $this->ancestorPlaybackContext != null) 
 			$filterBy = "_by_context";
 		if ($this->userIds != null) 
-			$filterBy = "_by_user";
+			$filterBy = $filterBy . "_by_user";
 		if ($this->application != null)
 			$filterBy = $filterBy . "_by_app";
 

alpha/apps/kaltura/lib/reports/myReportsSqlFileMgr.class.php

@@ -572,6 +572,73 @@ private static function getFileNameMappingConfig ( $type_str , $flavor_str , $no
 				"count_without_filter" => "count",
 				"count_no_text" => "count",
 			),
+			"top_playback_context" => array (
+				"graph_no_text" => "user_engagement/graph_no_text",
+				"graph_without_filter" => "user_engagement/graph_by_context",
+			    "graph_by_context" => "user_engagement/graph_by_context",
+			    "graph_by_context_for_objects" => "user_engagement/graph_by_context_for_objects",
+				"graph_by_context_by_user" => "user_engagement/graph_by_user",
+				"graph_by_context_by_user_for_objects" => "user_engagement/graph_by_user",
+				"graph_by_context_by_app" => "user_engagement/graph_by_app",
+				"graph_by_context_by_app_for_objects" => "user_engagement/graph_by_app_for_objects",
+				"graph_by_context_by_user_by_app" => "user_engagement/graph_by_user_by_app",
+				"graph_by_context_by_user_by_app_for_objects" => "user_engagement/graph_by_user_by_app",
+				"graph_by_user" => "user_engagement/graph_by_user",
+				"graph_by_user_for_objects" => "user_engagement/graph_by_user",
+				"graph_by_user_by_app" => "user_engagement/graph_by_user_by_app",
+				"graph_by_user_by_app_for_objects" => "user_engagement/graph_by_user_by_app",
+				"graph_by_app" => "user_engagement/graph_by_app",
+				"graph_by_app_for_objects" => "user_engagement/graph_by_app_for_objects",
+				"total_no_text" => "user_engagement/total_no_text",
+				"total_without_filter" => "user_engagement/total_by_context",
+			    "total_by_context" => "user_engagement/total_by_context",
+			    "total_by_context_for_objects" => "total_by_context_for_objects",
+				"total_by_context_by_user" => "total_by_user",
+				"total_by_context_by_user_for_objects" => "total_by_user",
+				"total_by_context_by_app" => "user_engagement/total_by_app",
+				"total_by_context_by_app_for_objects" => "total_by_app_for_objects",
+				"total_by_context_by_user_by_app" => "total_by_user_by_app",
+				"total_by_context_by_user_by_app_for_objects" => "total_by_user_by_app",
+				"total_by_user" => "total_by_user",
+				"total_by_user_for_objects" => "total_by_user",
+				"total_by_user_by_app" => "total_by_user_by_app",
+				"total_by_user_by_app_for_objects" => "total_by_user_by_app",
+				"total_by_app" => "user_engagement/total_by_app",
+				"total_by_app_for_objects" => "total_by_app_for_objects",
+				"detail_no_text" => "detail_no_text",
+				"detail_without_filter" => "detail_by_context",
+			    "detail_by_context" => "detail_by_context",
+			    "detail_by_context_for_objects" => "detail_by_context_for_objects",
+				"detail_by_context_by_user" => "detail_by_user",
+				"detail_by_context_by_user_for_objects" => "detail_by_user",
+				"detail_by_context_by_app" => "detail_by_app",
+				"detail_by_context_by_app_for_objects" => "detail_by_app_for_objects",
+				"detail_by_context_by_user_by_app" => "detail_by_user_by_app",
+				"detail_by_context_by_user_by_app_for_objects" => "detail_by_user_by_app",
+				"detail_by_user" => "detail_by_user",
+				"detail_by_user_for_objects" => "detail_by_user",
+				"detail_by_user_by_app" => "detail_by_user_by_app",
+				"detail_by_user_by_app_for_objects" => "detail_by_user_by_app",
+				"detail_by_app" => "detail_by_app",
+				"detail_by_app_for_objects" => "detail_by_app_for_objects",
+
+				"count_no_text" => "count_no_text",
+				"count_without_filter" => "count_by_context",
+			    "count_by_context" => "count_by_context",
+			    "count_by_context_for_objects" => "count_by_context_for_objects",
+				"count_by_context_by_user" => "count_by_user",
+				"count_by_context_by_user_for_objects" => "count_by_user",
+				"count_by_context_by_app" => "count_by_app",
+				"count_by_context_by_app_for_objects" => "count_by_app_for_objects",
+				"count_by_context_by_user_by_app" => "count_by_user_by_app",
+				"count_by_context_by_user_by_app_for_objects" => "count_by_user_by_app",
+				"count_by_user" => "count_by_user",
+				"count_by_user_for_objects" => "count_by_user",
+				"count_by_user_by_app" => "count_by_user_by_app",
+				"count_by_user_by_app_for_objects" => "count_by_user_by_app",
+				"count_by_app" => "count_by_app",
+				"count_by_app_for_objects" => "count_by_app_for_objects",
+			),
 
 		);
 

alpha/apps/kaltura/lib/reports/top_playback_context/top_playback_context_count_by_app.sql

@@ -0,0 +1,18 @@
+SELECT COUNT(DISTINCT context_id) count_all
+FROM 
+		dwh_hourly_events_context_app ev, dwh_dim_applications ap
+WHERE 	
+	{CAT_ID_CLAUSE}
+	AND ap.name = {APPLICATION_NAME}
+	AND ap.partner_id = ev.partner_id
+	AND ap.application_id = ev.application_id
+	AND ev.partner_id =  {PARTNER_ID} # PARTNER_ID
+    AND date_id BETWEEN IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID})  
+    		AND     IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID})
+			AND hour_id >= IF (date_id = IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 0)
+			AND hour_id < IF (date_id = IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 24)
+	AND ( count_time_viewed > 0 OR
+	      count_plays > 0 OR
+		  count_loads > 0 OR 
+		  sum_time_viewed > 0)
+

alpha/apps/kaltura/lib/reports/top_playback_context/top_playback_context_count_by_app_for_objects.sql

@@ -0,0 +1,19 @@
+SELECT COUNT(DISTINCT context_id) count_all
+FROM 
+		dwh_hourly_events_context_entry_user_app ev, dwh_dim_applications ap
+WHERE 	
+	{OBJ_ID_CLAUSE} # ev.entry_id in 
+	AND {CAT_ID_CLAUSE}
+	AND ap.name = {APPLICATION_NAME}
+	AND ap.partner_id = ev.partner_id
+	AND ap.application_id = ev.application_id
+	AND ev.partner_id =  {PARTNER_ID} # PARTNER_ID
+    AND date_id BETWEEN IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID})  
+    		AND     IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID})
+			AND hour_id >= IF (date_id = IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 0)
+			AND hour_id < IF (date_id = IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 24)
+	AND ( count_time_viewed > 0 OR
+	      count_plays > 0 OR
+		  count_loads > 0 OR 
+		  sum_time_viewed > 0)
+

alpha/apps/kaltura/lib/reports/top_playback_context/top_playback_context_count_by_context.sql

@@ -0,0 +1,15 @@
+SELECT COUNT(DISTINCT context_id) count_all
+FROM 
+	dwh_hourly_events_context_app ev
+WHERE 	
+    {CAT_ID_CLAUSE}
+	AND partner_id =  {PARTNER_ID} # PARTNER_ID
+    AND date_id BETWEEN IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID})  
+    		AND     IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID})
+			AND hour_id >= IF (date_id = IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 0)
+			AND hour_id < IF (date_id = IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 24)
+	AND ( count_time_viewed > 0 OR
+		  count_plays > 0 OR
+		  count_loads > 0 OR 
+		  sum_time_viewed > 0)
+

alpha/apps/kaltura/lib/reports/top_playback_context/top_playback_context_count_by_context_for_objects.sql

@@ -0,0 +1,16 @@
+SELECT COUNT(DISTINCT context_id) count_all
+FROM 
+	dwh_hourly_events_context_entry_user_app ev
+WHERE 	
+    {OBJ_ID_CLAUSE} # ev.entry_id in 
+	AND {CAT_ID_CLAUSE}
+	AND partner_id =  {PARTNER_ID} # PARTNER_ID
+    AND date_id BETWEEN IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID})  
+    		AND     IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID})
+			AND hour_id >= IF (date_id = IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 0)
+			AND hour_id < IF (date_id = IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 24)
+	AND ( count_time_viewed > 0 OR
+		  count_plays > 0 OR
+		  count_loads > 0 OR 
+		  sum_time_viewed > 0)
+

alpha/apps/kaltura/lib/reports/top_playback_context/top_playback_context_count_by_user.sql

@@ -0,0 +1,18 @@
+SELECT COUNT(DISTINCT context_id) count_all	
+FROM 
+	dwh_hourly_events_context_entry_user_app ev, dwh_dim_pusers us
+WHERE 	
+	{OBJ_ID_CLAUSE} 
+	AND {CAT_ID_CLAUSE}
+	AND ev.partner_id =  {PARTNER_ID} # PARTNER_ID
+	AND ev.partner_id = us.partner_id
+	AND us.name IN {PUSER_ID}
+	AND us.puser_id = ev.user_id
+	AND date_id BETWEEN IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID})  
+			AND     IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID})
+		AND hour_id >= IF (date_id = IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 0)
+		AND hour_id < IF (date_id = IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 24)
+	AND ( count_time_viewed > 0 OR
+	  count_plays > 0 OR
+	  count_loads > 0 OR 
+	  sum_time_viewed > 0)

alpha/apps/kaltura/lib/reports/top_playback_context/top_playback_context_count_by_user_by_app.sql

@@ -0,0 +1,21 @@
+SELECT COUNT(DISTINCT context_id) count_all
+FROM 
+	dwh_hourly_events_context_entry_user_app ev, dwh_dim_pusers us, dwh_dim_applications ap
+WHERE 	
+	{OBJ_ID_CLAUSE} # ev.entry_id in 
+	AND {CAT_ID_CLAUSE}
+	AND ev.partner_id =  {PARTNER_ID} # PARTNER_ID
+	AND us.name IN {PUSER_ID}
+	AND ev.partner_id = us.partner_id
+	AND ev.user_id = us.puser_id
+	AND ap.name = {APPLICATION_NAME}
+	AND ap.application_id = ev.application_id
+	AND ap.partner_id = ev.partner_id
+	AND date_id BETWEEN IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID})  
+			AND IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID})
+		AND hour_id >= IF (date_id = IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 0)
+		AND hour_id < IF (date_id = IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 24)
+	AND ( count_time_viewed > 0 OR
+	  count_plays > 0 OR
+	  count_loads > 0 OR 
+	  sum_time_viewed > 0)

alpha/apps/kaltura/lib/reports/top_playback_context/top_playback_context_count_no_text.sql

@@ -0,0 +1,15 @@
+SELECT 
+	COUNT(DISTINCT context_id) count_all
+FROM 
+	dwh_hourly_events_context_entry_user_app ev
+WHERE 	{OBJ_ID_CLAUSE} 
+	AND partner_id =  {PARTNER_ID} # PARTNER_ID
+    AND date_id BETWEEN IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID})  
+    		AND     IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID})
+			AND hour_id >= IF (date_id = IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 0)
+			AND hour_id < IF (date_id = IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 24)
+	AND ( count_time_viewed > 0 OR
+		  count_plays > 0 OR
+		  count_loads > 0 OR 
+		  sum_time_viewed > 0)
+

alpha/apps/kaltura/lib/reports/top_playback_context/top_playback_context_detail_by_app.sql

@@ -0,0 +1,41 @@
+SELECT 
+	context_id object_id,
+	cat.name name,
+	count_plays,
+	sum_time_viewed,
+	avg_time_viewed,
+	avg_view_drop_off,
+	count_loads,
+	load_play_ratio
+FROM
+(
+	SELECT 
+		context_id,
+		SUM(sum_time_viewed) sum_time_viewed,
+		SUM(sum_time_viewed)/SUM(count_plays) avg_time_viewed,
+		SUM(count_plays) count_plays,
+		SUM(count_loads) count_loads,
+		(SUM(IFNULL(count_plays_25,0)) + SUM(IFNULL(count_plays_50,0)) + SUM(IFNULL(count_plays_75,0)) + SUM(IFNULL(count_plays_100,0)))/4/SUM(count_plays) avg_view_drop_off,
+		( SUM(count_plays) / SUM(count_loads) ) load_play_ratio
+	FROM 
+		dwh_hourly_events_context_app ev, dwh_dim_applications ap
+	WHERE 	
+	    {CAT_ID_CLAUSE}
+		AND ap.name = {APPLICATION_NAME}
+		AND ap.partner_id = ev.partner_id
+		AND ap.application_id = ev.application_id
+		AND ev.partner_id =  {PARTNER_ID} # PARTNER_ID
+        AND date_id BETWEEN IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID})  
+    			AND     IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID})
+			AND hour_id >= IF (date_id = IF({TIME_SHIFT}>0,(DATE({FROM_DATE_ID}) - INTERVAL 1 DAY)*1, {FROM_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 0)
+			AND hour_id < IF (date_id = IF({TIME_SHIFT}<=0,(DATE({TO_DATE_ID}) + INTERVAL 1 DAY)*1, {TO_DATE_ID}), IF({TIME_SHIFT}>0, 24 - {TIME_SHIFT}, ABS({TIME_SHIFT})), 24)
+		AND ( count_time_viewed > 0 OR
+		  count_plays > 0 OR
+		  count_loads > 0 OR 
+		  sum_time_viewed > 0 )
+	GROUP BY context_id
+	ORDER BY {SORT_FIELD}
+	LIMIT {PAGINATION_FIRST},{PAGINATION_SIZE}  /* pagination  */
+) AS ev_stats LEFT JOIN dwh_dim_category cat
+ON ev_stats.context_id = cat.category_id
+