odstranenie odohranych kol za den zo statistik

api/stats.py

@@ -12,7 +12,7 @@ from sqlalchemy import extract, func, or_, select
 from user_agents import parse as parse_ua
 
 from db.db import async_session
-from db.models import Game, Guess, PageView, Player
+from db.models import Game, PageView, Player
 
 # Konvencia na rozpoznanie botieho uctu (viz api.bots.BOT_PREFIX) -- drzana tu
 # lokalne, aby sa do statistickej cesty netahala rl vrstva (siet/numpy).
@@ -190,7 +190,7 @@ async def _login_event_counts(session, column, exclude_empty=False) -> list:
 async def get_daily_stats(logged_in_only: bool = False) -> dict:
     """logged_in_only obmedzuje traffic-analyticke widgety (PageView) na
     zaznamy z eventu "login" (jediny event, ktory nesie player_id -- bezne
-    beacony ho neposielaju vobec). Herne metriky (games/players/rounds) su
+    beacony ho neposielaju vobec). Herne metriky (games/players) su
     uz zo svojej podstaty vzdy o prihlasenych uctoch, prepinac sa ich netyka.
     top_paths ostava vzdy pocitane zo vsetkych navstev bez ohladu na scope --
     najnavstevovanejsie stranky maju zmysel len ako celok."""
@@ -269,18 +269,6 @@ async def get_daily_stats(logged_in_only: bool = False) -> dict:
             )
         ).all()
 
-        rday = func.date(Game.created_at)
-        rounds_rows = (
-            await session.execute(
-                select(rday.label("day"), func.count().label("n"))
-                .select_from(Guess)
-                .join(Game, Guess.game_id == Game.id)
-                .group_by(rday)
-                .order_by(rday.desc())
-                .limit(_DAYS_WINDOW)
-            )
-        ).all()
-
         vday = func.date(PageView.created_at)
         pageview_q = select(vday.label("day"), func.count().label("n"))
         if logged_in_only:
@@ -354,7 +342,6 @@ async def get_daily_stats(logged_in_only: bool = False) -> dict:
         "total_players": total_players,
         "unconfirmed_players": unconfirmed_players,
         "peak_hours": {int(r.h): r.n for r in peak_hours},
-        "rounds_per_day": {str(r.day): r.n for r in rounds_rows},
         "pageviews_per_day": {str(r.day): r.n for r in pageview_rows},
         "visitors_per_day": {str(r.day): r.n for r in visitor_rows},
         "pageviews_per_day_by_device": pageviews_per_day_by_device,

frontend/src/pages/admin/AdminStats.tsx

@@ -23,7 +23,6 @@ interface DailyStats {
   total_players: number;
   unconfirmed_players: number;
   peak_hours: Record<string, number>;
-  rounds_per_day: Record<string, number>;
   pageviews_per_day: Record<string, number>;
   visitors_per_day: Record<string, number>;
   pageviews_per_day_by_device: Record<string, Record<string, number>>;
@@ -169,7 +168,6 @@ export default function AdminStats() {
       <div className={`grid gap-4 ${desktop ? 'grid-cols-2' : 'grid-cols-1'}`}>
         <TimeSeriesChart title="Hry za deň" data={data.games_per_day} />
         <TimeSeriesChart title="Nové registrácie za deň" data={data.players_per_day} />
-        <TimeSeriesChart title="Odohrané kolá za deň" data={data.rounds_per_day} />
         <TimeSeriesChart title="Hodiny s najvyššou aktivitou" data={data.peak_hours} kind="bar" />
       </div>
 

tests/test_stats.py

@@ -351,7 +351,6 @@ class StatsCase(unittest.TestCase):
         self.assertEqual(data["finished_bot_games"], base_bot_games + 1)
         self.assertEqual(data["finished_human_games"], base_human_games)
         self.assertGreaterEqual(sum(data["games_per_day"].values()), 1)
-        self.assertGreaterEqual(sum(data["rounds_per_day"].values()), 4)
 
     def test_unconfirmed_players_counted_separately(self):
         before = run(stats.get_daily_stats())