Update app.py

app.py

@@ -152,10 +152,8 @@ with tab1:
                 opp_var1 = opp_dict[stack_var1]
                 qbstack_var1 = st.selectbox('How many forced WR/TE stacked with QB?', options = [1, 2], key='qbstack_var1')
                 ministack_var1 = st.selectbox('How many forced bring backs?', options = [0, 1, 2], key='ministack_var1')
-            elif opto_var1 == "Pivot Optimal":
-                opp_var1 = opp_dict[stack_var1]
-                qbstack_var1 = 2
-                ministack_var1 = 0
+            elif 
+                
         elif contest_var1 == 'Large Field GPP':
             st.info('The Pivot optimal uses backend functions to create a stack and lock in certain pieces, if you want control over QB pairing use the Manual model instead.')
             opto_var1 = st.selectbox("Pivot optimal or Manual?", ('Pivot Optimal', 'Manual'), key='opto_var1')
@@ -192,24 +190,6 @@ with tab1:
     with col2:
         raw_baselines = raw_baselines[raw_baselines['Team'].isin(team_var1)]
         
-        try:
-            dk_stacks_raw = dk_stacks_raw[dk_stacks_raw['Team'].isin(team_var1)]
-            fd_stacks_raw = fd_stacks_raw[fd_stacks_raw['Team'].isin(team_var1)]
-            dk_Max_Rank = dk_stacks_raw['Team'][0]
-            fd_Max_Rank = fd_stacks_raw['Team'][0]
-            dk_stacks_raw = dk_stacks_raw.sort_values(by='Median', ascending=False)
-            fd_stacks_raw = fd_stacks_raw.sort_values(by='Median', ascending=False)
-            dk_Max_Upside = dk_stacks_raw['Team'][0]
-            fd_Max_Upside = fd_stacks_raw['Team'][0]
-            if contest_var1 == 'Small Field GPP':
-                stack_var1 = dk_Max_Rank
-            elif contest_var1 == 'Large Field GPP':
-                stack_var1 = dk_Max_Upside
-            opp_var1 = opp_dict[stack_var1]
-        except:
-            pass
-        
-        st.write(dk_Max_Rank)
         raw_baselines = raw_baselines[~raw_baselines['Player'].isin(avoid_var1)]
         ownframe = raw_baselines.copy()
         if contest_var1 == 'Cash':
@@ -756,6 +736,20 @@ with tab1:
                                         qbfile = qbfile[qbfile['Position'] == 'QB']
                                         qbfile = qbfile.reset_index()
                                     elif contest_var1 == 'Small Field GPP':
+                                        if opto_var1 == "Pivot Optimal":
+                                            qbstack_var1 = 2
+                                            ministack_var1 = 0
+                                            dk_stacks_raw = dk_stacks_raw[dk_stacks_raw['Team'].isin(team_var1)]
+                                            fd_stacks_raw = fd_stacks_raw[fd_stacks_raw['Team'].isin(team_var1)]
+                                            dk_Max_Rank = dk_stacks_raw['Team'][0]
+                                            fd_Max_Rank = fd_stacks_raw['Team'][0]
+                                            dk_stacks_raw = dk_stacks_raw.sort_values(by='Median', ascending=False)
+                                            fd_stacks_raw = fd_stacks_raw.sort_values(by='Median', ascending=False)
+                                            dk_Max_Upside = dk_stacks_raw['Team'][0]
+                                            fd_Max_Upside = fd_stacks_raw['Team'][0]
+                                            stack_var1 = dk_Max_Rank
+                                            opp_var1 = opp_dict[stack_var1]
+                                            
                                         qbfile = flex_file[flex_file['Team'] == stack_var1]
                                         qbfile = qbfile[qbfile['Position'] == 'QB']
                                         qbfile = qbfile.reset_index()
@@ -782,6 +776,20 @@ with tab1:
                                                 sub_idx = flex_file[flex_file['Player'] == qb_var].index
                                                 total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) == 1
                                     elif contest_var1 == 'Large Field GPP':
+                                        if opto_var1 == "Pivot Optimal":
+                                            qbstack_var1 = 2
+                                            ministack_var1 = 0
+                                            dk_stacks_raw = dk_stacks_raw[dk_stacks_raw['Team'].isin(team_var1)]
+                                            fd_stacks_raw = fd_stacks_raw[fd_stacks_raw['Team'].isin(team_var1)]
+                                            dk_Max_Rank = dk_stacks_raw['Team'][0]
+                                            fd_Max_Rank = fd_stacks_raw['Team'][0]
+                                            dk_stacks_raw = dk_stacks_raw.sort_values(by='Median', ascending=False)
+                                            fd_stacks_raw = fd_stacks_raw.sort_values(by='Median', ascending=False)
+                                            dk_Max_Upside = dk_stacks_raw['Team'][0]
+                                            fd_Max_Upside = fd_stacks_raw['Team'][0]
+                                            stack_var1 = dk_Max_Upside
+                                            opp_var1 = opp_dict[stack_var1]
+                                            
                                         qbfile = flex_file[flex_file['Team'] == stack_var1]
                                         qbfile = qbfile[qbfile['Position'] == 'QB']
                                         qbfile = qbfile.reset_index()