Refactor session state management in app.py

- Removed the 'calc_toggle' variable from session state, simplifying the logic for calculations.
- Updated variable names for ownership and actual dataframes to improve clarity and consistency.
- Enhanced the handling of name mismatches by directly using updated dataframe variables, streamlining data processing.

app.py

@@ -15,14 +15,11 @@ from global_func.create_stack_exposures import create_stack_exposures
 from global_func.create_stack_size_exposures import create_stack_size_exposures
 
 player_exposure_format = {'Exposure Overall': '{:.2%}', 'Exposure Top 1%': '{:.2%}', 'Exposure Top 5%': '{:.2%}', 'Exposure Top 10%': '{:.2%}', 'Exposure Top 20%': '{:.2%}'}
-if 'calc_toggle' not in st.session_state:
-    st.session_state['calc_toggle'] = False
 
 tab1, tab2 = st.tabs(["Data Load", "Contest Analysis"])
 with tab1:
     if st.button('Clear data', key='reset1'):
         st.session_state.clear()
-    st.session_state['calc_toggle'] = False
     col1, col2 = st.columns(2)
     with col1:
         sport_select = st.selectbox("Select Sport", ['MLB', 'NBA', 'NFL'])
@@ -39,7 +36,7 @@ with tab1:
             del st.session_state['Contest']
 
         if Contest_file:
-            st.session_state['Contest'], st.session_state['ownership_dict'], st.session_state['actual_dict'], st.session_state['entry_list'] = load_contest_file(Contest_file, sport_select)
+            st.session_state['Contest'], st.session_state['ownership_df'], st.session_state['actual_df'], st.session_state['entry_list'] = load_contest_file(Contest_file, sport_select)
             st.session_state['Contest'] = st.session_state['Contest'].dropna(how='all')
             st.session_state['Contest'] = st.session_state['Contest'].reset_index(drop=True)
             if st.session_state['Contest'] is not None:
@@ -77,11 +74,10 @@ with tab1:
         
     if Contest_file and projections_file:
         st.subheader("Name Matching functions")
-        st.session_state['Contest'], st.session_state['projections_df'], st.session_state['ownership_dict'], st.session_state['actual_dict'], st.session_state['calc_toggle'] = find_name_mismatches(st.session_state['Contest'], st.session_state['projections_df'], st.session_state['ownership_dict'], st.session_state['actual_dict'], st.session_state['calc_toggle'])
+        st.session_state['Contest'], st.session_state['projections_df'], st.session_state['ownership_df'], st.session_state['actual_df'] = find_name_mismatches(st.session_state['Contest'], st.session_state['projections_df'], st.session_state['ownership_df'], st.session_state['actual_df'])
         st.session_state['projections_df']['salary'] = (st.session_state['projections_df']['salary'].astype(str).str.replace(',', '').astype(float).astype(int))
-        st.session_state['ownership_dict'] = dict(zip(st.session_state['ownership_dict']['Player'], st.session_state['ownership_dict']['Own']))
-        st.session_state['actual_dict'] = dict(zip(st.session_state['actual_dict']['Player'], st.session_state['actual_dict']['FPTS']))
-        st.session_state['calc_toggle'] = True
+        st.session_state['ownership_dict'] = dict(zip(st.session_state['ownership_df']['Player'], st.session_state['ownership_df']['Own']))
+        st.session_state['actual_dict'] = dict(zip(st.session_state['actual_df']['Player'], st.session_state['actual_df']['FPTS']))
 
 
 with tab2:
@@ -105,7 +101,7 @@ with tab2:
     # Create a copy of the dataframe for calculations
     working_df = st.session_state['Contest'].copy()
 
-    if 'Contest' in st.session_state and 'projections_df' in st.session_state and st.session_state['calc_toggle']:    
+    if 'Contest' in st.session_state and 'projections_df' in st.session_state:    
         if type_var == 'Classic':
             working_df['stack'] = working_df.apply(
                 lambda row: Counter(
@@ -192,9 +188,6 @@ with tab2:
                 # Apply entry name filter if specific entries are selected
                 if entry_parse_var == 'Specific' and entry_names:
                     working_df = working_df[working_df['BaseName'].isin(entry_names)]
-                    st.session_state['calc_toggle'] = True
-                elif entry_parse_var == 'All':
-                    st.session_state['calc_toggle'] = True
         
     # Initialize pagination in session state if not exists
     if 'current_page' not in st.session_state: