Use actual week 19 but map 18 for bye week players

src/domain/playoffs.py

@@ -12,7 +12,7 @@ SCHEDULE_WEEK_TO_PLAYOFF_WEEK = {v: k for k, v in PLAYOFF_WEEK_TO_SCHEDULE_WEEK.
 
 
 PLAYOFF_WEEK_TO_ROSTER_WEEK = {
-    1: 18,
+    1: 19,
     2: 20,
     3: 21,
     4: 22,
@@ -20,6 +20,9 @@ PLAYOFF_WEEK_TO_ROSTER_WEEK = {
 
 ROSTER_WEEK_TO_PLAYOFF_WEEK = {v: k for k, v in PLAYOFF_WEEK_TO_ROSTER_WEEK.items()}
 
+# Still map 18 to week 1 in one direction for players on a bye in week 19
+ROSTER_WEEK_TO_PLAYOFF_WEEK[18] = 1
+
 
 PLAYOFF_WEEK_TO_NAME = {
     1: "Wildcard",

src/load_options.py

@@ -93,12 +93,16 @@ def load_options():
     latest_game_time_defaults = {k: max(v.values()) for k, v in week_game_times.items() if v}
 
     # sort
-    sort_by_cols = ["position", "week", "fantasy_points"]
+    sort_by_cols = ["position", "fantasy_points", "week"]
     df_rosters.sort_values(sort_by_cols, ascending=False, inplace=True)
 
     # filter data from non-playoffs
     df_rosters = df_rosters[df_rosters.week.isin(ROSTER_WEEK_TO_PLAYOFF_WEEK.keys())]
     df_rosters["week"] = df_rosters["week"].map(ROSTER_WEEK_TO_PLAYOFF_WEEK)
+
+    # Filter out duplicates which occur for week 1 (bye players come from week 18)
+    df_rosters = df_rosters.drop_duplicates(subset=["gsis_id", "week"])
+
     # set gametime
     if len(df_rosters) == 0:
         return initialize_empty_options_map()