Update app.py

app.py

@@ -17,4 +17,134 @@ credentials = {
   "token_uri": "https://oauth2.googleapis.com/token",
   "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
   "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/gspread-connection%40sheets-api-connect-378620.iam.gserviceaccount.com"
-}
+}
+
+# Set up gspread service account
+gc = gspread.service_account_from_dict(credentials)
+
+# Set Streamlit page config
+st.set_page_config(layout="wide")
+
+# Define formats for dataframes
+roo_format = {'Win%': '{:.2%}', 'Top_finish': '{:.2%}', 'Top_5_finish': '{:.2%}', 'Top_10_finish': '{:.2%}',
+              '60+%': '{:.2%}', '5x%': '{:.2%}', '6x%': '{:.2%}', '7x%': '{:.2%}', 'Own': '{:.2%}', 'LevX': '{:.2%}'}
+stat_format = {'Odds%': '{:.2%}'}
+table_format = {'Odds': '{:.2%}'}
+
+# Define sheet URLs
+sheet_urls = {
+    'csgo_overall': 'CSGO_Overall_Proj',
+    'csgo_rpl': 'CSGO_RPL_Proj',
+    'csgo_neutral': 'CSGO_Neutral_Proj',
+    'csgo_wins': 'CSGO_Win_Proj',
+    'csgo_losses': 'CSGO_Loss_Proj',
+    'overall_odds': 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013',
+    'RPL_odds': 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013',
+    'csgo_bo1': 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013',
+    'two_map': 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013',
+    'csgo_bo3': 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013',
+    'csgo_bo5': 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013',
+    'player_baselines': 'https://docs.google.com/spreadsheets/d/1aLVN4izjSuqZGRyz73Kip6U1q3rubh6v9GrckgEqbfs/edit?pli=1#gid=1545712013'
+}
+
+# Define function to load data from Google Sheets
+@st.cache_data
+def load_data(sheet_name, worksheet_name=None):
+    try:
+        sh = gc.open_by_url(sheet_name)
+        worksheet = sh.get_worksheet(0) if not worksheet_name else sh.worksheet(worksheet_name)
+        df = pd.DataFrame(worksheet.get_all_records())
+        return df
+    except Exception as e:
+        st.error(f"Error loading data: {e}")
+        return pd.DataFrame()
+
+# Define function to convert dataframe to CSV
+def convert_df_to_csv(df):
+    return df.to_csv().encode('utf-8')
+
+# Load initial data
+hold_display = load_data(sheet_urls['csgo_overall'])
+
+# Define tabs for the app
+tab1, tab2, tab3, tab4, tab5 = st.tabs(["CSGO Odds Tables", "CSGO Range of Outcomes", "CSGO Player Stat Projections", "CSGO Slate Baselines", '2-map Projections'])
+
+with tab1:
+    if st.button("Reset Data", key='reset4'):
+        st.cache_data.clear()
+
+    odds_choice = st.radio("What table would you like to display?", ('Overall', 'RPL'), key='odds_table')
+    if odds_choice == 'Overall':
+        hold_display = load_data(sheet_urls['overall_odds'], 'Overall_Vegas')
+    elif odds_choice == 'RPL':
+        hold_display = load_data(sheet_urls['RPL_odds'], 'RPL_Vegas')
+    
+    hold_display['Odds'] = hold_display['Odds'].str.replace('%', '').astype(float)/100
+    display = hold_display.set_index('Team')
+    st.dataframe(display.style.background_gradient(cmap='RdYlGn').format(table_format, precision=2), use_container_width=True)
+    st.download_button(label="Export Tables", data=convert_df_to_csv(display), file_name='CSGO_Odds_Tables_export.csv', mime='text/csv')
+
+with tab2:
+    if st.button("Reset Data", key='reset1'):
+        st.cache_data.clear()
+
+    model_choice = st.radio("What table would you like to display?", ('Overall', 'RPL', 'Neutral', 'Wins', 'Losses'), key='roo_table')
+    team_var1 = st.multiselect('View specific team?', options=hold_display['Team'].unique(), key='roo_teamvar')
+    
+    if model_choice == 'Overall':
+        hold_display = load_data(sheet_urls['csgo_overall'])
+    elif model_choice == 'RPL':
+        hold_display = load_data(sheet_urls['csgo_rpl'])
+    elif model_choice == 'Neutral':
+        hold_display = load_data(sheet_urls['csgo_neutral'])
+    elif model_choice == 'Wins':
+        hold_display = load_data(sheet_urls['csgo_wins'])
+    elif model_choice == 'Losses':
+        hold_display = load_data(sheet_urls['csgo_losses'])
+    
+    hold_display['Own'] = hold_display['Own'] / 100
+    display = hold_display.set_index('Player')
+    export_display = display.copy()
+    export_display['Own'] = export_display['Own'] * 100
+    export_display['Position'] = "FLEX"
+    
+    if team_var1:
+        display = display[display['Team'].isin(team_var1)]
+    
+    st.dataframe(display.style.background_gradient(cmap='RdYlGn').format(roo_format, precision=2), use_container_width=True)
+    st.download_button(label="Export Range of Outcomes", data=convert_df_to_csv(export_display), file_name='CSGO_ROO_export.csv', mime='text/csv')
+
+with tab3:
+    if st.button("Reset Data", key='reset2'):
+        st.cache_data.clear()
+
+    gametype_choice = st.radio("What format are the games being played?", ('Best of 1', 'Best of 3', 'Best of 5'), key='player_stats')
+    team_var2 = st.multiselect('View specific team?', options=hold_display['Team'].unique(), key='stat_teamvar')
+    
+    if gametype_choice == 'Best of 1':
+        hold_display = load_data(sheet_urls['csgo_bo1'], 'Overall_BO1_Projections')
+    elif gametype_choice == 'Best of 3':
+        hold_display = load_data(sheet_urls['csgo_bo3'], 'Overall_BO3_Projections')
+    elif gametype_choice == 'Best of 5':
+        hold_display = load_data(sheet_urls['csgo_bo5'], 'Overall_BO5_Projections')
+    
+    display = hold_display.set_index('Player')
+    
+    if team_var2:
+        display = display[display['Team'].isin(team_var2)]
+    
+    st.dataframe(display.style.background_gradient(cmap='RdYlGn').format(stat_format, precision=2), use_container_width=True)
+    st.download_button(label="Export Projections", data=convert_df_to_csv(display), file_name='CSGO_Projections_export.csv', mime='text/csv')
+
+with tab4:
+    if st.button("Reset Data", key='reset3'):
+        st.cache_data.clear()
+
+    hold_display = load_data(sheet_urls['player_baselines'], 'Player_Data')
+    display = hold_display.set_index('Player')
+    st.dataframe(display.style.background_gradient(cmap='RdYlGn').format(precision=2), use_container_width=True)
+    st.download_button(label="Export Baselines", data=convert_df_to_csv(display), file_name='CSGO_Baselines_export.csv', mime='text/csv')
+
+with tab5:
+    if st.button("Reset Data", key='reset5'):
+        st.cache_data.clear()