Map team names in schedule to start and implement scores shown

src/domain/teams.py

@@ -299,4 +299,4 @@ washington_football_team = NFLTeam(
 )
 
 
-SCHEDULE_NAME_TO_PFR_NAME_MAP = {t.rosters_short_name: t.team_full_name for t in ALL_TEAMS}
+PFR_NAME_TO_SCHEDULE_NAME_MAP = {t.team_full_name: t.rosters_short_name for t in ALL_TEAMS}

src/load_options.py

@@ -9,7 +9,6 @@ from domain.playoffs import (
     PLAYOFFS_TEAMS,
     PLAYOFF_TEAM_DEF_PLAYER,
 )
-from domain.teams import SCHEDULE_NAME_TO_PFR_NAME_MAP
 from queries.nflverse.github_data import get_weekly_rosters
 from queries.pfr.league_schedule import get_season_game_map
 
@@ -117,7 +116,7 @@ def load_options():
         return initialize_empty_options_map()
     df_rosters["gametime"] = df_rosters.apply(
         lambda x: week_game_times.get(x.week, {})
-        .get(SCHEDULE_NAME_TO_PFR_NAME_MAP[x.team], {})
+        .get(x.team, {})
         .get("gametime", latest_game_time_defaults.get(x.week, None)),
         axis=1,
     )

src/pages/11_Scoreboard.py

@@ -5,9 +5,11 @@ from config import DEFAULT_ICON
 from shared_page import common_page_config
 
 from data_storage import get_all_users, get_all_rosters
+from domain.constants import SEASON
 from domain.playoffs import CURRENT_PLAYOFF_WEEK, PLAYOFF_WEEK_TO_NAME
 from load_options import get_map_week_player_id_option, PlayerOption
 from stats import get_stats_map, get_scores_map
+from queries.pfr.league_schedule import get_season_game_map
 
 
 POSITION_LABELS = [
@@ -22,6 +24,27 @@ POSITION_LABELS = [
 ]
 
 
+def get_live_schedule() -> dict[int, dict[str, dict[str, str | int | pd.Timestamp]]]:
+    return {}
+
+
+@st.cache_data(ttl=60 * 60 * 24)
+def get_daily_updated_schedule() -> dict[int, dict[str, dict[str, str | int | pd.Timestamp]]]:
+    schedule, _ = get_season_game_map(SEASON)
+    return schedule
+
+
+@st.cache_data(ttl=60 * 5)
+def get_schedule_with_live() -> dict[int, dict[str, dict[str, str | int | pd.Timestamp]]]:
+    schedule = get_daily_updated_schedule()
+
+    for week, week_live in get_live_schedule().items():
+        for team, team_live in week_live.items():
+            schedule[week][team].update(team_live)
+
+    return schedule
+
+
 def get_users_df():
     columns = ["user_id", "name"]
     all_users = pd.DataFrame(get_all_users(columns_included=columns), columns=columns)
@@ -65,8 +88,10 @@ def get_roster_html_str(week: int, user_map: dict[str, PlayerOption]) -> str:
 def get_player_html_str(player_opt: PlayerOption, player_stats: dict[str, float], score: float) -> str:
     # TODO
     multiplier = 1
+
+    game_map = get_schedule_with_live().get(player_opt.week, {}).get(player_opt.team, {})
     game_status = " "
-    game_score = " "
+    game_score = f"""{game_map.get("score")} - {game_map.get("opponent_score")}"""
     player_stats_str = get_player_stats_html_str(player_stats)
 
     player_classes = "player"

src/queries/pfr/league_schedule.py

@@ -1,6 +1,7 @@
 import pandas as pd
 
 from domain.playoffs import SCHEDULE_WEEK_TO_PLAYOFF_WEEK
+from domain.teams import PFR_NAME_TO_SCHEDULE_NAME_MAP
 
 
 def get_full_schedule(season_int: str | int) -> pd.DataFrame:
@@ -31,8 +32,8 @@ def get_season_game_map(
                 last_game_week_map[mapped_week] = max(game_time, last_game_week_map[mapped_week])
 
             # only actual winner/loser if game has already happened
-            winner_team = row["Winner/tie"]
-            loser_team = row["Loser/tie"]
+            winner_team = PFR_NAME_TO_SCHEDULE_NAME_MAP[row["Winner/tie"]]
+            loser_team = PFR_NAME_TO_SCHEDULE_NAME_MAP[row["Loser/tie"]]
             winner_game = {
                 "gametime": game_time,
                 "opponent": loser_team,