Added winrate over time statistic

src/classes/statistic_classes.py

@@ -21,7 +21,7 @@ class GamesStatistic(StatisticBase):
     }
 
 class TimeLineStatistic(StatisticBase):
-    result: Dict[Union[date, int], int]
+    result: Dict[Union[date, int], Union[int, float]]
 
     model_config = {
         'validate_assignment':True

src/main.py

@@ -218,3 +218,10 @@ def get_winrate(player_name: str | None = None, session: Session = Depends(get_s
     statistic_to_return = statistic_creator.get_winrate(session, player_name)
 
     return statistic_to_return
+
+@app.get('/statistics/winrate_over_time', response_model=statistic_classes.TimeLineStatistic)
+def get_winrate_over_time(player_name: str, day_step: int = 1, session: Session=Depends(get_session)):
+    statistic_to_return = statistic_creator.get_winrate_over_time(session, player_name, day_step)
+
+    return statistic_to_return
+

src/modules/statistic_creator.py

@@ -180,3 +180,40 @@ def get_winrate(session: Session, player_name: str | None = None):
     return statistic_to_return
 
         
+def get_winrate_over_time(session: Session, player_name: str, day_step = 1):
+
+    def daterange(start_date: date, end_date: date, day_step):
+        days = int((end_date - start_date).days)
+        for n in range(0, days, day_step):
+            yield start_date + timedelta(n)
+
+
+    wanted_player = data_connection.get_player(player_name, session)
+    all_playplayers = [playplayer for playplayer in wanted_player.playplayers]
+    all_playplayers.sort(key=lambda x: x.play.play_date)
+
+    start_date = all_playplayers[0].play.play_date
+
+    timeline_dict = {}
+
+    for current_date in daterange(start_date, date.today(), day_step):
+        playplayers_at_date = list(filter(lambda playplayer: playplayer.play.play_date <= current_date, all_playplayers))
+        total_games_played = len(playplayers_at_date)
+        total_games_won = 0
+        for playplayer in playplayers_at_date:
+            if playplayer.has_won:
+                total_games_won += 1
+        
+        timeline_dict[current_date] = total_games_won / total_games_played
+
+
+    statistic_dict = {
+        'name': 'Player winrate over time',
+        'result': timeline_dict
+    }
+
+    statistic_to_return = statistic_classes.TimeLineStatistic.model_validate(statistic_dict)
+
+    return statistic_to_return
+
+