Update app.py

app.py

@@ -29,16 +29,16 @@ def init_conn():
             "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/gspread-connection%40sheets-api-connect-378620.iam.gserviceaccount.com"
           }
 
-          gc = gspread.service_account_from_dict(credentials)
-          return gc
+          gc_con = gspread.service_account_from_dict(credentials)
+          return gc_con
 
-gc = init_conn()
+gcservice_account = init_conn()
 
 freq_format = {'Proj Own': '{:.2%}', 'Exposure': '{:.2%}', 'Edge': '{:.2%}'}
 
 @st.cache_resource(ttl = 300)
 def load_dk_player_projections():
-    sh = gc.open_by_url('https://docs.google.com/spreadsheets/d/1I_1Ve3F4tftgfLQQoRKOJ351XfEG48s36OxXUKxmgS8/edit#gid=1391856348')
+    sh = gcservice_account.open_by_url('https://docs.google.com/spreadsheets/d/1I_1Ve3F4tftgfLQQoRKOJ351XfEG48s36OxXUKxmgS8/edit#gid=1391856348')
     worksheet = sh.worksheet('DK_ROO')
     load_display = pd.DataFrame(worksheet.get_all_records())
     load_display.replace('', np.nan, inplace=True)
@@ -48,7 +48,7 @@ def load_dk_player_projections():
 
 @st.cache_resource(ttl = 300)
 def load_fd_player_projections():
-    sh = gc.open_by_url('https://docs.google.com/spreadsheets/d/1I_1Ve3F4tftgfLQQoRKOJ351XfEG48s36OxXUKxmgS8/edit#gid=1391856348')
+    sh = gcservice_account.open_by_url('https://docs.google.com/spreadsheets/d/1I_1Ve3F4tftgfLQQoRKOJ351XfEG48s36OxXUKxmgS8/edit#gid=1391856348')
     worksheet = sh.worksheet('FD_ROO')
     load_display = pd.DataFrame(worksheet.get_all_records())
     load_display.replace('', np.nan, inplace=True)
@@ -58,7 +58,7 @@ def load_fd_player_projections():
 
 @st.cache_resource(ttl = 300)
 def set_export_ids():
-    sh = gc.open_by_url('https://docs.google.com/spreadsheets/d/1I_1Ve3F4tftgfLQQoRKOJ351XfEG48s36OxXUKxmgS8/edit#gid=1391856348')
+    sh = gcservice_account.open_by_url('https://docs.google.com/spreadsheets/d/1I_1Ve3F4tftgfLQQoRKOJ351XfEG48s36OxXUKxmgS8/edit#gid=1391856348')
     worksheet = sh.worksheet('DK_ROO')
     load_display = pd.DataFrame(worksheet.get_all_records())
     load_display.replace('', np.nan, inplace=True)
@@ -1042,7 +1042,7 @@ with tab2:
                                                    columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
                         cleaport_players['Freq'] = cleaport_players['Freq'].astype(int)
                         nerf_frame = Overall_Proj
-                        
+                    
                     ref_dict = {
                         'pos':['RB', 'WR', 'TE', 'FLEX'],
                         'pos_dfs':['RB_Table', 'WR_Table', 'TE_Table', 'FLEX_Table'],
@@ -1076,24 +1076,6 @@ with tab2:
                     st.write('Seed frame creation')
                     FinalPortfolio, maps_dict = run_seed_frame(10, Strength_var, strength_grow, Teams_used, 1000000)
                     
-                    Sim_size = 2500
-                    SimVar = 1
-                    Sim_Winners = []
-                    fp_array = FinalPortfolio.values
-                    
-                    if insert_port == 1:
-                        up_array = CleanPortfolio.values
-                    
-                    # Pre-vectorize functions
-                    vec_projection_map = np.vectorize(maps_dict['Projection_map'].__getitem__)
-                    vec_stdev_map = np.vectorize(maps_dict['STDev_map'].__getitem__)
-                    
-                    if insert_port == 1:
-                        vec_up_projection_map = np.vectorize(up_dict['Projection_map'].__getitem__)
-                        vec_up_stdev_map = np.vectorize(up_dict['STDev_map'].__getitem__)
-                    
-                    st.write('Simulating contest on frames')
-                    
                     Sim_Winners = sim_contest(2500, FinalPortfolio, CleanPortfolio, maps_dict, up_dict, insert_port)
                         
                     st.write('Contest simulation complete')
@@ -1128,7 +1110,7 @@ with tab2:
                     player_freq['Position'] = player_freq['Player'].map(maps_dict['Pos_map'])
                     player_freq['Salary'] = player_freq['Player'].map(maps_dict['Salary_map'])
                     player_freq['Proj Own'] = player_freq['Player'].map(maps_dict['Own_map']) / 100
-                    player_freq['Exposure'] = player_freq['Freq']/(Sim_size)
+                    player_freq['Exposure'] = player_freq['Freq']/(2500)
                     player_freq['Edge'] = player_freq['Exposure'] - player_freq['Proj Own']
                     player_freq['Team'] = player_freq['Player'].map(maps_dict['Team_map'])
                     for checkVar in range(len(team_list)):
@@ -1142,7 +1124,7 @@ with tab2:
                     qb_freq['Position'] = qb_freq['Player'].map(maps_dict['Pos_map'])
                     qb_freq['Salary'] = qb_freq['Player'].map(maps_dict['Salary_map'])
                     qb_freq['Proj Own'] = qb_freq['Player'].map(maps_dict['Own_map']) / 100
-                    qb_freq['Exposure'] = qb_freq['Freq']/(Sim_size)
+                    qb_freq['Exposure'] = qb_freq['Freq']/(2500)
                     qb_freq['Edge'] = qb_freq['Exposure'] - qb_freq['Proj Own']
                     qb_freq['Team'] = qb_freq['Player'].map(maps_dict['Team_map'])
                     for checkVar in range(len(team_list)):
@@ -1156,7 +1138,7 @@ with tab2:
                     rb_freq['Position'] = rb_freq['Player'].map(maps_dict['Pos_map'])
                     rb_freq['Salary'] = rb_freq['Player'].map(maps_dict['Salary_map'])
                     rb_freq['Proj Own'] = rb_freq['Player'].map(maps_dict['Own_map']) / 100
-                    rb_freq['Exposure'] = rb_freq['Freq']/Sim_size
+                    rb_freq['Exposure'] = rb_freq['Freq']/2500
                     rb_freq['Edge'] = rb_freq['Exposure'] - rb_freq['Proj Own']
                     rb_freq['Team'] = rb_freq['Player'].map(maps_dict['Team_map'])
                     for checkVar in range(len(team_list)):
@@ -1170,7 +1152,7 @@ with tab2:
                     wr_freq['Position'] = wr_freq['Player'].map(maps_dict['Pos_map'])
                     wr_freq['Salary'] = wr_freq['Player'].map(maps_dict['Salary_map'])
                     wr_freq['Proj Own'] = wr_freq['Player'].map(maps_dict['Own_map']) / 100
-                    wr_freq['Exposure'] = wr_freq['Freq']/Sim_size
+                    wr_freq['Exposure'] = wr_freq['Freq']/2500
                     wr_freq['Edge'] = wr_freq['Exposure'] - wr_freq['Proj Own']
                     wr_freq['Team'] = wr_freq['Player'].map(maps_dict['Team_map'])
                     for checkVar in range(len(team_list)):
@@ -1184,7 +1166,7 @@ with tab2:
                     te_freq['Position'] = te_freq['Player'].map(maps_dict['Pos_map'])
                     te_freq['Salary'] = te_freq['Player'].map(maps_dict['Salary_map'])
                     te_freq['Proj Own'] = te_freq['Player'].map(maps_dict['Own_map']) / 100
-                    te_freq['Exposure'] = te_freq['Freq']/Sim_size
+                    te_freq['Exposure'] = te_freq['Freq']/2500
                     te_freq['Edge'] = te_freq['Exposure'] - te_freq['Proj Own']
                     te_freq['Team'] = te_freq['Player'].map(maps_dict['Team_map'])
                     for checkVar in range(len(team_list)):
@@ -1198,7 +1180,7 @@ with tab2:
                     flex_freq['Position'] = flex_freq['Player'].map(maps_dict['Pos_map'])
                     flex_freq['Salary'] = flex_freq['Player'].map(maps_dict['Salary_map'])
                     flex_freq['Proj Own'] = flex_freq['Player'].map(maps_dict['Own_map']) / 100
-                    flex_freq['Exposure'] = flex_freq['Freq']/Sim_size
+                    flex_freq['Exposure'] = flex_freq['Freq']/2500
                     flex_freq['Edge'] = flex_freq['Exposure'] - flex_freq['Proj Own']
                     flex_freq['Team'] = flex_freq['Player'].map(maps_dict['Team_map'])
                     for checkVar in range(len(team_list)):
@@ -1212,7 +1194,7 @@ with tab2:
                     dst_freq['Position'] = dst_freq['Player'].map(maps_dict['Pos_map'])
                     dst_freq['Salary'] = dst_freq['Player'].map(maps_dict['Salary_map'])
                     dst_freq['Proj Own'] = dst_freq['Player'].map(maps_dict['Own_map']) / 100
-                    dst_freq['Exposure'] = dst_freq['Freq']/Sim_size
+                    dst_freq['Exposure'] = dst_freq['Freq']/2500
                     dst_freq['Edge'] = dst_freq['Exposure'] - dst_freq['Proj Own']
                     dst_freq['Team'] = dst_freq['Player'].map(maps_dict['Team_map'])
                     for checkVar in range(len(team_list)):
@@ -1310,7 +1292,10 @@ with tab2:
                         mime='text/csv',
                     )
 
-del gc
+del gcservice_account
 del dk_roo_raw, fd_roo_raw
 del t_stamp
-del dkid_dict, fdid_dict
+del dkid_dict, fdid_dict
+del static_exposure, overall_exposure
+del insert_port1, Contest_Size, sharp_split, Strength_var, scaling_var
+del raw_baselines