Update app.py

app.py

@@ -56,6 +56,24 @@ def load_overall_stats():
     raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
     fd_raw = raw_display.sort_values(by='Median', ascending=False)
     
+    worksheet = sh.worksheet('Secondary_DK_Build')
+    raw_display = pd.DataFrame(worksheet.get_all_records())
+    raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"}, inplace = True)
+    raw_display.replace("", 'Welp', inplace=True)
+    raw_display = raw_display.loc[raw_display['Player'] != 'Welp']
+    raw_display = raw_display.loc[raw_display['Median'] > 0]
+    raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
+    dk_raw_sec = raw_display.sort_values(by='Median', ascending=False)
+    
+    worksheet = sh.worksheet('Secondary_FD_Build')
+    raw_display = pd.DataFrame(worksheet.get_all_records())
+    raw_display.rename(columns={"Name": "Player", "Nickname": "Player", "Fantasy": "Median"}, inplace = True)
+    raw_display.replace("", 'Welp', inplace=True)
+    raw_display = raw_display.loc[raw_display['Player'] != 'Welp']
+    raw_display = raw_display.loc[raw_display['Median'] > 0]
+    raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
+    fd_raw_sec = raw_display.sort_values(by='Median', ascending=False)
+    
     worksheet = sh.worksheet('Player_Level_ROO')
     raw_display = pd.DataFrame(worksheet.get_all_records())
     raw_display.replace("", 'Welp', inplace=True)
@@ -67,12 +85,12 @@ def load_overall_stats():
     worksheet = sh.worksheet('Timestamp')
     timestamp = worksheet.acell('A1').value
 
-    return dk_raw, fd_raw, roo_raw, timestamp
+    return dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp
 
 def convert_df_to_csv(df):
     return df.to_csv().encode('utf-8')
 
-dk_raw, fd_raw, roo_raw, timestamp = load_overall_stats()
+dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp = load_overall_stats()
 t_stamp = f"Last Update: " + str(timestamp) + f" CST"
 
 tab1, tab2, tab3 = st.tabs(['Uploads and Info', 'Range of Outcomes', 'Custom Range of Outcomes'])
@@ -101,7 +119,7 @@ with tab2:
         st.info(t_stamp)
         if st.button("Load/Reset Data", key='reset1'):
               st.cache_data.clear()
-              dk_raw, fd_raw, roo_raw, timestamp = load_overall_stats()
+              dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp = load_overall_stats()
               t_stamp = f"Last Update: " + str(timestamp) + f" CST"
               for key in st.session_state.keys():
                   del st.session_state[key]
@@ -156,27 +174,29 @@ with tab3:
         st.info(t_stamp)
         if st.button("Load/Reset Data", key='reset2'):
               st.cache_data.clear()
-              dk_raw, fd_raw, roo_raw, timestamp = load_overall_stats()
+              dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp = load_overall_stats()
               t_stamp = f"Last Update: " + str(timestamp) + f" CST"
               for key in st.session_state.keys():
                   del st.session_state[key]
         slate_var1 = st.radio("Which data are you loading?", ('Paydirt', 'User'), key='slate_var1')
-        site_var1 = st.radio("What table would you like to display?", ('Draftkings', 'Fanduel'), key='site_var1')
+        site_var1 = st.radio("What table would you like to display?", ('Draftkings', 'Fanduel'), key='site_var1')  
+        slate_split2 = st.radio("Are you viewing the main slate or the secondary slate?", ('Main Slate', 'Secondary'), key='slate_split2')
         if site_var1 == 'Draftkings':
               if slate_var1 == 'User':
-                  site_baselines = proj_dataframe
+                  raw_baselines = proj_dataframe
               elif slate_var1 != 'User':
-                  site_baselines = dk_raw
+                  if slate_split2 == 'Main Slate':
+                      raw_baselines = dk_raw
+                  elif slate_split2 == 'Secondary':
+                      raw_baselines = dk_raw_sec
         elif site_var1 == 'Fanduel':
               if slate_var1 == 'User':
-                  site_baselines = proj_dataframe
+                  raw_baselines = proj_dataframe
               elif slate_var1 != 'User':
-                  site_baselines = fd_raw
-        slate_split2 = st.radio("Are you viewing the main slate or the secondary slate?", ('Main Slate', 'Secondary'), key='slate_split2')
-        if slate_split2 == 'Main Slate':
-            raw_baselines = site_baselines[site_baselines['Slate'] == 'Main Slate']
-        elif slate_split2 == 'Secondary':
-            raw_baselines = site_baselines[site_baselines['Slate'] == 'Secondary']
+                  if slate_split2 == 'Main Slate':
+                      raw_baselines = fd_raw
+                  elif slate_split2 == 'Secondary':
+                      raw_baselines = fd_raw_sec
         split_var1 = st.radio("Are you running the full slate or crtain games?", ('Full Slate Run', 'Specific Games'), key='split_var1')
         if split_var1 == 'Specific Games':
             team_var1 = st.multiselect('Which teams would you like to include in the ROO?', options = raw_baselines['Team'].unique(), key='team_var1')