Show top half of scoring and luck summary

src/pages/51_League_Results_Summary.py

@@ -1,6 +1,6 @@
 import streamlit as st
 
-from analyze_yahoo import analyze_league
+from analyze_yahoo import get_grouped_luck, calculate_luck
 from config import DEFAULT_ICON, SEASON
 from login_component import is_token_in_session
 from shared_page import common_page_config
@@ -11,6 +11,14 @@ def get_all_league_settings_with_cache(season: int):
     return st.session_state.yahoo_client.get_all_logged_in_user_league_settings(season=season)
 
 
+@st.cache_resource(ttl=60 * 10)
+def get_cached_league_luck(league_key):
+    df_weekly_results = st.session_state.yahoo_client.full_schedule_dataframe(league_key)
+    df_weekly_luck = calculate_luck(df_weekly_results)
+    df_grouped_luck = get_grouped_luck(df_weekly_luck)
+    return df_weekly_luck, df_grouped_luck
+
+
 def get_page():
     page_title = "Yahoo League Scoring Summary"
     st.set_page_config(page_title=page_title, page_icon=DEFAULT_ICON, layout="wide")
@@ -29,8 +37,12 @@ def get_page():
         selected_league = st.selectbox("Select league", user_leagues, format_func=lambda x: x.name)
         st.header(f"{selected_league.name} - {selected_league.season}")
 
-        df_weekly_results = st.session_state.yahoo_client.full_schedule_dataframe(selected_league.league_key)
-        df_luck = analyze_league(df_weekly_results, selected_league)
+        df_weekly_luck, df_luck = get_cached_league_luck(selected_league.league_key)
+
+        st.header("Weekly Top Half Scores")
+        st.dataframe(df_weekly_luck.pivot(columns="week", index="team_name", values="half_wins"))
+
+        st.header("Luck Summary")
         st.dataframe(df_luck)