feat(queries): add BOUNCE_THRESHOLD and enhance bounce calculation logic

Updated bounce calculations to account for visits with custom events
(`EVENT_TYPE.customEvent`). A visit counts as a bounce only when its
custom event count is below `BOUNCE_THRESHOLD`, so engaged single
pageview visits are no longer misreported.

Since #3614 was opened v3 moved `getInsights` into `getBreakdown` and
copied the old formula into the channel, pageview and session
breakdowns, so those are updated too.

src/queries/sql/getWebsiteStats.ts

@@ -1,5 +1,5 @@
 import clickhouse from '@/lib/clickhouse';
-import { EVENT_COLUMNS } from '@/lib/constants';
+import { BOUNCE_THRESHOLD, EVENT_COLUMNS, EVENT_TYPE } from '@/lib/constants';
 import { CLICKHOUSE, PRISMA, runQuery } from '@/lib/db';
 import prisma from '@/lib/prisma';
 import type { QueryFilters } from '@/lib/types';
@@ -35,7 +35,9 @@ async function relationalQuery(
     });
 
   const { excludeBounce } = filters;
-  const bounceQuery = excludeBounce ? '0' : 'coalesce(sum(case when t.c = 1 then 1 else 0 end), 0)';
+  const bounceQuery = excludeBounce
+    ? '0'
+    : `coalesce(sum(case when t.c = 1 and t.events_count < ${BOUNCE_THRESHOLD} then 1 else 0 end), 0)`;
 
   return rawQuery(
     `
@@ -51,11 +53,20 @@ async function relationalQuery(
         website_event.visit_id,
         count(*) as "c",
         min(website_event.created_at) as "min_time",
-        max(website_event.created_at) as "max_time"
+        max(website_event.created_at) as "max_time",
+        max((
+          select count(*)
+          from website_event we2
+          where we2.website_id = website_event.website_id
+            and we2.session_id = website_event.session_id
+            and we2.visit_id = website_event.visit_id
+            and we2.created_at between {{startDate}} and {{endDate}}
+            and we2.event_type = ${EVENT_TYPE.customEvent}
+        )) as "events_count"
       from website_event
       ${cohortQuery}
       ${excludeBounceQuery}
-      ${joinSessionQuery}  
+      ${joinSessionQuery}
       where website_event.website_id = {{websiteId::uuid}}
         and website_event.created_at between {{startDate}} and {{endDate}}
         and website_event.event_type NOT IN (2, 5)
@@ -81,7 +92,9 @@ async function clickhouseQuery(
 
   let sql = '';
   const { excludeBounce } = filters;
-  const bounceQuery = excludeBounce ? '0' : 'sumIf(1, t.c = 1)';
+  const bounceQuery = excludeBounce
+    ? '0'
+    : `sumIf(1, t.c = 1 and ifNull(e.events_count, 0) < ${BOUNCE_THRESHOLD})`;
 
   if (EVENT_COLUMNS.some(item => Object.keys(filters).includes(item))) {
     sql = `
@@ -106,7 +119,15 @@ async function clickhouseQuery(
         and event_type NOT IN (2, 5)
         ${filterQuery}
       group by session_id, visit_id
-    ) as t;
+    ) as t
+    left join (
+      select session_id, visit_id, toUInt32(count()) as events_count
+      from website_event
+      where website_id = {websiteId:UUID}
+        and created_at between {startDate:DateTime64} and {endDate:DateTime64}
+        and event_type = ${EVENT_TYPE.customEvent}
+      group by session_id, visit_id
+    ) as e using (session_id, visit_id);
     `;
   } else {
     sql = `
@@ -130,7 +151,14 @@ async function clickhouseQuery(
       and event_type NOT IN (2, 5)
       ${filterQuery}
       group by session_id, visit_id
-    ) as t;
+    ) as t
+    left join (
+      select session_id, visit_id, toUInt32(sumIf(views, event_type = ${EVENT_TYPE.customEvent})) as events_count
+      from website_event_stats_hourly
+      where website_id = {websiteId:UUID}
+        and created_at between {startDate:DateTime64} and {endDate:DateTime64}
+      group by session_id, visit_id
+    ) as e using (session_id, visit_id);
     `;
   }