Update app.py

app.py

@@ -38,62 +38,74 @@ gcservice_account = init_conn()
 
 freq_format = {'Proj Own': '{:.2%}', 'Exposure': '{:.2%}', 'Edge': '{:.2%}'}
 
-@st.cache_resource(ttl=600)
-def load_dk_player_projections():
-    sh = gcservice_account.open_by_url('https://docs.google.com/spreadsheets/d/1I_1Ve3F4tftgfLQQoRKOJ351XfEG48s36OxXUKxmgS8/edit#gid=1391856348')
+@st.cache_resource(ttl=601)
+def init_baselines():
+    sh = gcservice_account.open_by_url('https://docs.google.com/spreadsheets/d/1I_1Ve3F4tftgfLQQoRKOJ351XfEG48s36OxXUKxmgS8/edit#gid=1030253279')
     worksheet = sh.worksheet('SD_Projections')
     load_display = pd.DataFrame(worksheet.get_all_records())
-    load_display.rename(columns={"PPR": "Median", "name": "Player"}, inplace = True)
-    load_display['Floor'] = load_display['Median'] * .25
-    load_display['Ceiling'] = load_display['Median'] + (load_display['Median'] * .75)
     load_display.replace('', np.nan, inplace=True)
-    raw_display = load_display.dropna(subset=['Median'])
+    raw_display = load_display.dropna(subset=['PPR'])
+    raw_display.rename(columns={"name": "Player", "PPR": "Median"}, inplace = True)
+    raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
+    dk_roo_raw = raw_display.loc[raw_display['Median'] > 0]
 
-    return raw_display
-
-@st.cache_resource(ttl=600)
-def load_fd_player_projections():
-    sh = gcservice_account.open_by_url('https://docs.google.com/spreadsheets/d/1I_1Ve3F4tftgfLQQoRKOJ351XfEG48s36OxXUKxmgS8/edit#gid=1391856348')
     worksheet = sh.worksheet('FD_SD_Projections')
     load_display = pd.DataFrame(worksheet.get_all_records())
-    load_display.rename(columns={"Half_PPR": "Median", "name": "Player"}, inplace = True)
-    load_display['Floor'] = load_display['Median'] * .25
-    load_display['Ceiling'] = load_display['Median'] + (load_display['Median'] * .75)
     load_display.replace('', np.nan, inplace=True)
-    raw_display = load_display.dropna(subset=['Median'])
-
-    return raw_display
+    raw_display = load_display.dropna(subset=['Half_PPR'])
+    raw_display.rename(columns={"name": "Player", "Half_PPR": "Median"}, inplace = True)
+    raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
+    fd_roo_raw = raw_display.loc[raw_display['Median'] > 0]
 
-@st.cache_resource(ttl=600)
-def load_dk_player_projections_2():
-    sh = gcservice_account.open_by_url('https://docs.google.com/spreadsheets/d/1I_1Ve3F4tftgfLQQoRKOJ351XfEG48s36OxXUKxmgS8/edit#gid=1391856348')
     worksheet = sh.worksheet('SD_Projections_2')
     load_display = pd.DataFrame(worksheet.get_all_records())
-    load_display.rename(columns={"PPR": "Median", "name": "Player"}, inplace = True)
-    load_display['Floor'] = load_display['Median'] * .25
-    load_display['Ceiling'] = load_display['Median'] + (load_display['Median'] * .75)
     load_display.replace('', np.nan, inplace=True)
-    raw_display = load_display.dropna(subset=['Median'])
-
-    return raw_display
+    raw_display = load_display.dropna(subset=['PPR'])
+    raw_display.rename(columns={"name": "Player", "PPR": "Median"}, inplace = True)
+    raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
+    dk_roo_raw_2 = raw_display.loc[raw_display['Median'] > 0]
 
-@st.cache_resource(ttl=600)
-def load_fd_player_projections_2():
-    sh = gcservice_account.open_by_url('https://docs.google.com/spreadsheets/d/1I_1Ve3F4tftgfLQQoRKOJ351XfEG48s36OxXUKxmgS8/edit#gid=1391856348')
     worksheet = sh.worksheet('FD_SD_Projections_2')
     load_display = pd.DataFrame(worksheet.get_all_records())
-    load_display.rename(columns={"Half_PPR": "Median", "name": "Player"}, inplace = True)
-    load_display['Floor'] = load_display['Median'] * .25
-    load_display['Ceiling'] = load_display['Median'] + (load_display['Median'] * .75)
     load_display.replace('', np.nan, inplace=True)
+    raw_display = load_display.dropna(subset=['Half_PPR'])
+    raw_display.rename(columns={"name": "Player", "Half_PPR": "Median"}, inplace = True)
+    raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
+    fd_roo_raw_2 = raw_display.loc[raw_display['Median'] > 0]
+    
+    worksheet = sh.worksheet('SD_Projections_3')
+    load_display = pd.DataFrame(worksheet.get_all_records())
+    load_display.replace('', np.nan, inplace=True)
+    raw_display = load_display.dropna(subset=['PPR'])
+    raw_display.rename(columns={"name": "Player", "PPR": "Median"}, inplace = True)
+    raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
+    dk_roo_raw_3 = raw_display.loc[raw_display['Median'] > 0]
+
+    worksheet = sh.worksheet('FD_SD_Projections_3')
+    load_display = pd.DataFrame(worksheet.get_all_records())
+    load_display.replace('', np.nan, inplace=True)
+    raw_display = load_display.dropna(subset=['Half_PPR'])
+    raw_display.rename(columns={"name": "Player", "Half_PPR": "Median"}, inplace = True)
+    raw_display = raw_display[['Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', 'Own', 'rush_yards', 'rec']]
+    fd_roo_raw_3 = raw_display.loc[raw_display['Median'] > 0]
+
+    worksheet = sh.worksheet('SD_Projections')
+    load_display = pd.DataFrame(worksheet.get_all_records())
+    load_display.replace('', np.nan, inplace=True)
+    load_display.rename(columns={"PPR": "Median", "name": "Player"}, inplace = True)
+    raw_display = load_display.dropna(subset=['Median'])
+    dk_ids = dict(zip(raw_display['Player'], raw_display['player_id']))
+    
+    worksheet = sh.worksheet('FD_SD_Projections')
+    load_display = pd.DataFrame(worksheet.get_all_records())
+    load_display.replace('', np.nan, inplace=True)
+    load_display.rename(columns={"Half_PPR": "Median", "name": "Player"}, inplace = True)
     raw_display = load_display.dropna(subset=['Median'])
+    fd_ids = dict(zip(raw_display['Player'], raw_display['player_id']))
 
-    return raw_display
+    return dk_roo_raw, dk_roo_raw_2, dk_roo_raw_3, fd_roo_raw, fd_roo_raw_2, fd_roo_raw_3, dk_ids, fd_ids
 
-dk_roo_raw = load_dk_player_projections()
-dk_roo_raw_2 = load_dk_player_projections_2()
-fd_roo_raw = load_fd_player_projections()
-fd_roo_raw_2 = load_fd_player_projections_2()
+dk_roo_raw, dk_roo_raw_2, dk_roo_raw_3, fd_roo_raw, fd_roo_raw_2, fd_roo_raw_3, dkid_dict, fdid_dict = init_baselines()
 
 static_exposure = pd.DataFrame(columns=['Player', 'count'])
 overall_exposure = pd.DataFrame(columns=['Player', 'count'])
@@ -590,12 +602,9 @@ with tab2:
               st.cache_data.clear()
               for key in st.session_state.keys():
                   del st.session_state[key]
-              dk_roo_raw = load_dk_player_projections()
-              dk_roo_raw_2 = load_dk_player_projections_2()
-              fd_roo_raw = load_fd_player_projections()
-              fd_roo_raw_2 = load_fd_player_projections_2()
+              dk_roo_raw, dk_roo_raw_2, dk_roo_raw_3, fd_roo_raw, fd_roo_raw_2, fd_roo_raw_3, dkid_dict, fdid_dict = init_baselines()
               
-        slate_var1 = st.radio("Which data are you loading?", ('Paydirt (Main)', 'Paydirt (Secondary)', 'User'))
+        slate_var1 = st.radio("Which data are you loading?", ('Paydirt (Main)', 'Paydirt (Secondary)', 'Paydirt (Third)', 'User'))
         site_var1 = 'Draftkings'
         if site_var1 == 'Draftkings':
               if slate_var1 == 'User':
@@ -604,6 +613,8 @@ with tab2:
                   raw_baselines = dk_roo_raw
               elif slate_var1 == 'Paydirt (Secondary)':
                   raw_baselines = dk_roo_raw_2
+              elif slate_var1 == 'Paydirt (Third)':
+                  raw_baselines = dk_roo_raw_3
         elif site_var1 == 'Fanduel':
               if slate_var1 == 'User':
                   raw_baselines = proj_dataframe
@@ -611,6 +622,8 @@ with tab2:
                   raw_baselines = dk_roo_raw
               elif slate_var1 == 'Paydirt (Secondary)':
                   raw_baselines = dk_roo_raw_2
+              elif slate_var1 == 'Paydirt (Third)':
+                  raw_baselines = dk_roo_raw_3
                   
         st.info("If you are uploading a portfolio, note that there is an adjustments to projections and deviation mapping to prevent 'Projection Bias' and create a fair simulation")
         insert_port1 = st.selectbox("Are you uploading a portfolio?", ('No', 'Yes'))