fix: apply the group filter to the Analytics hourly chart (#30978)

backend/open_webui/models/chat_messages.py

@@ -1012,12 +1012,15 @@ class ChatMessageTable:
         self,
         start_date: Optional[int] = None,
         end_date: Optional[int] = None,
+        group_id: Optional[str] = None,
         db: Optional[AsyncSession] = None,
     ) -> dict[str, dict[str, int]]:
         """Get message counts grouped by hour and model."""
         async with get_async_db_context(db) as db:
             from datetime import datetime, timedelta
 
+            from open_webui.models.groups import GroupMember
+
             stmt = select(ChatMessage.created_at, ChatMessage.model_id).filter(
                 ChatMessage.role == 'assistant',
                 ChatMessage.model_id.isnot(None),
@@ -1027,6 +1030,9 @@ class ChatMessageTable:
                 stmt = stmt.filter(ChatMessage.created_at >= start_date)
             if end_date:
                 stmt = stmt.filter(ChatMessage.created_at <= end_date)
+            if group_id:
+                group_users = select(GroupMember.user_id).filter(GroupMember.group_id == group_id).scalar_subquery()
+                stmt = stmt.filter(ChatMessage.user_id.in_(group_users))
 
             result = await db.execute(stmt)
             results = result.all()

backend/open_webui/routers/analytics.py

@@ -207,7 +207,9 @@ async def get_daily_stats(
 ):
     """Get message counts grouped by model for time-series chart."""
     if granularity == 'hourly':
-        counts = await ChatMessages.get_hourly_message_counts_by_model(start_date=start_date, end_date=end_date, db=db)
+        counts = await ChatMessages.get_hourly_message_counts_by_model(
+            start_date=start_date, end_date=end_date, group_id=group_id, db=db
+        )
     else:
         counts = await ChatMessages.get_daily_message_counts_by_model(
             start_date=start_date, end_date=end_date, group_id=group_id, db=db