Refactor data loading and processing in the main function of the Streamlit app. Removed try-except block for data loading, streamlining the flow by directly loading projections and ranks data before creating position frames and calculating VORP metrics. Enhanced the display of player rankings and position breakdowns.

src/streamlit_app.py

@@ -412,39 +412,33 @@ def main():
     
     # Get user configuration
     user_league_settings, user_flex_percentiles, user_flex_multipliers, user_pos_vorp_limiters = create_user_config_interface()
+
+    projections_df = load_projections_data(Dwain_proj)
+    ranks_dict = load_ranks_data(dwain_ranks)
     
-    # Load data
-    try:
-        projections_df = load_projections_data(Dwain_proj)
-        ranks_dict = load_ranks_data(dwain_ranks)
-        
-        # Create position frames
-        position_df = create_position_frames(projections_df, ranks_dict)
-        
-        # Calculate position requirements
-        pos_reqs = designate_custom_position_reqs(user_league_settings, user_flex_percentiles, user_flex_multipliers)
-        
-        # Calculate replacement values
-        halfPpr_rv = create_halfPpr_rv(position_df, pos_reqs)
-        custom_rv = create_custom_rv(position_df, pos_reqs, user_league_settings)
-        
-        # Calculate VORP and rankings
-        final_df = assign_vorp(position_df, halfPpr_rv, custom_rv, user_league_settings, user_pos_vorp_limiters)
-        
-        # Display results
-        st.header("Player Rankings")
-        st.dataframe(final_df[['Name', 'Pos', 'Rank', 'custom_rank', 'halfPpr', 'custom_VORP', 'halfPpr_VORP']].head(50))
-        
-        # Position breakdown
-        st.header("Position Breakdown")
-        for pos in ['QB', 'RB', 'WR', 'TE']:
-            pos_df = final_df[final_df['Pos'] == pos].head(20)
-            st.subheader(f"Top {pos}s")
-            st.dataframe(pos_df[['Name', 'Rank', 'custom_rank', 'halfPpr', 'custom_VORP']])
-            
-    except Exception as e:
-        st.error(f"Error loading data: {str(e)}")
-        st.info("Please check your internet connection and try again.")
+    # Create position frames
+    position_df = create_position_frames(projections_df, ranks_dict)
+    
+    # Calculate position requirements
+    pos_reqs = designate_custom_position_reqs(user_league_settings, user_flex_percentiles, user_flex_multipliers)
+    
+    # Calculate replacement values
+    halfPpr_rv = create_halfPpr_rv(position_df, pos_reqs)
+    custom_rv = create_custom_rv(position_df, pos_reqs, user_league_settings)
+    
+    # Calculate VORP and rankings
+    final_df = assign_vorp(position_df, halfPpr_rv, custom_rv, user_league_settings, user_pos_vorp_limiters)
+    
+    # Display results
+    st.header("Player Rankings")
+    st.dataframe(final_df[['Name', 'Pos', 'Rank', 'custom_rank', 'halfPpr', 'custom_VORP', 'halfPpr_VORP']].head(50))
+    
+    # Position breakdown
+    st.header("Position Breakdown")
+    for pos in ['QB', 'RB', 'WR', 'TE']:
+        pos_df = final_df[final_df['Pos'] == pos].head(20)
+        st.subheader(f"Top {pos}s")
+        st.dataframe(pos_df[['Name', 'Rank', 'custom_rank', 'halfPpr', 'custom_VORP']])
 
 if __name__ == "__main__":
     main()