Added backlog option to display, collection limit of 10k on seed frame

app.py

@@ -63,7 +63,6 @@ def load_overall_stats():
     worksheet = sh.worksheet('DK_Build_Up')
     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['Salary'] > 0]
     raw_display = raw_display.loc[raw_display['Median'] > 0]
     raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
@@ -72,7 +71,6 @@ def load_overall_stats():
     worksheet = sh.worksheet('FD_Build_Up')
     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['Median'] > 0]
     raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
     fd_raw = raw_display.sort_values(by='Median', ascending=False)
@@ -80,7 +78,6 @@ def load_overall_stats():
     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['Median'] > 0]
     raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
     dk_raw_sec = raw_display.sort_values(by='Median', ascending=False)
@@ -88,31 +85,33 @@ def load_overall_stats():
     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['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)
     raw_display = raw_display.loc[raw_display['Median'] > 0]
     raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
     roo_raw = raw_display.sort_values(by='Median', ascending=False)
 
     timestamp = raw_display['timestamp'].values[0]
 
-    return dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp
+    worksheet = sh.worksheet('ROO_backlog')
+    raw_display = pd.DataFrame(worksheet.get_all_records())
+    roo_backlog = raw_display.sort_values(by='Median', ascending=False)
+    
+    return dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp, roo_backlog
 
 @st.cache_data(ttl = 300)
 def init_DK_lineups():  
     
         collection = db["DK_NBA_seed_frame"] 
-        cursor = collection.find()
+        cursor = collection.find().limit(10000)
     
         raw_display = pd.DataFrame(list(cursor))
         raw_display = raw_display[['PG', 'SG', 'SF', 'PF', 'C', 'G', 'F', 'FLEX', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
-        DK_seed = raw_display.head(10000).to_numpy()
+        DK_seed = raw_display.to_numpy()
 
         return DK_seed
 
@@ -120,11 +119,11 @@ def init_DK_lineups():
 def init_FD_lineups():  
     
         collection = db["FD_NBA_seed_frame"] 
-        cursor = collection.find()
+        cursor = collection.find().limit(10000)
     
         raw_display = pd.DataFrame(list(cursor))
         raw_display = raw_display[['PG1', 'PG2', 'SG1', 'SG2', 'SF1', 'SF2', 'PF1', 'PF2', 'C1', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
-        FD_seed = raw_display.head(10000).to_numpy()
+        FD_seed = raw_display.to_numpy()
 
         return FD_seed
 
@@ -136,7 +135,7 @@ def convert_df(array):
     array = pd.DataFrame(array, columns=column_names)
     return array.to_csv().encode('utf-8')
 
-dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp = load_overall_stats()
+dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp, roo_backlog = load_overall_stats()
 dk_lineups = init_DK_lineups()
 fd_lineups = init_FD_lineups()
 t_stamp = f"Last Update: " + str(timestamp) + f" CST"
@@ -151,7 +150,7 @@ with tab1:
         st.info(t_stamp)
         if st.button("Load/Reset Data", key='reset1'):
             st.cache_data.clear()
-            dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp = load_overall_stats()
+            dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp, roo_backlog = load_overall_stats()
             dk_lineups = init_DK_lineups()
             fd_lineups = init_FD_lineups()
             t_stamp = f"Last Update: " + str(timestamp) + f" CST"
@@ -162,11 +161,14 @@ with tab1:
             site_baselines = roo_raw[roo_raw['site'] == 'Draftkings']
         elif site_var2 == 'Fanduel':
             site_baselines = roo_raw[roo_raw['site'] == 'Fanduel']
-        slate_split = st.radio("Are you viewing the main slate or the secondary slate?", ('Main Slate', 'Secondary'), key='slate_split')
+        slate_split = st.radio("Are you viewing the main slate or the secondary slate?", ('Main Slate', 'Secondary', 'Backlog'), key='slate_split')
         if slate_split == 'Main Slate':
             raw_baselines = site_baselines[site_baselines['slate'] == 'Main Slate']
         elif slate_split == 'Secondary':
             raw_baselines = site_baselines[site_baselines['slate'] == 'Secondary Slate']
+        elif slate_split == 'Backlog':
+            raw_baselines = roo_backlog
+            raw_baselines = raw_baselines[site_baselines['site'] == site_var2]
         split_var2 = st.radio("Are you running the full slate or certain games?", ('Full Slate Run', 'Specific Games'), key='split_var2')
         if split_var2 == 'Specific Games':
             team_var2 = st.multiselect('Which teams would you like to include in the ROO?', options = raw_baselines['Team'].unique(), key='team_var2')
@@ -206,7 +208,7 @@ with tab2:
     with col1:
         if st.button("Load/Reset Data", key='reset2'):
             st.cache_data.clear()
-            dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp = load_overall_stats()
+            dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp, roo_backlog = load_overall_stats()
             dk_lineups = init_DK_lineups()
             fd_lineups = init_FD_lineups()
             t_stamp = f"Last Update: " + str(timestamp) + f" CST"