Update app.py

app.py

@@ -1,150 +1,14 @@
-import numpy as np
-import pandas as pd
-import streamlit as st
-import gspread
+from parsebets import *
+from iteratenba import *
+from iteratenfl import *
+from createnbascore import *
+from createnflscore import *
 
-scope = ['https://www.googleapis.com/auth/spreadsheets',
-          "https://www.googleapis.com/auth/drive"]
+bet_dicts = Create_Current_Bet_Dicts('Rebounds')
 
-credentials = {
-  "type": "service_account",
-  "project_id": "sheets-api-connect-378620",
-  "private_key_id": "1005124050c80d085e2c5b344345715978dd9cc9",
-  "private_key": "-----BEGIN PRIVATE KEY-----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\nJuElxA33rFEjbgbzdyrE768=\n-----END PRIVATE KEY-----\n",
-  "client_email": "gspread-connection@sheets-api-connect-378620.iam.gserviceaccount.com",
-  "client_id": "106625872877651920064",
-  "auth_uri": "https://accounts.google.com/o/oauth2/auth",
-  "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"
-}
+nba = Create_NBA_Score(bet_dicts)
+print(nba)
 
-# Set up gspread service account
-gc = gspread.service_account_from_dict(credentials)
+#test = Create_NBA_Score(bet_dicts)
+#print(test)
 
-# 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()