Refine position filtering logic in create_position_export_dict function in app.py to remove trailing digits from column names, and update debug print statements to log structured output of filtered DataFrames for better data validation.

app.py

@@ -40,7 +40,7 @@ def create_position_export_dict(column_name, csv_file):
     try:
         # Remove any numbers from the column name to get the position
         import re
-        position_filter = re.sub(r'\d+', '', column_name)
+        position_filter = re.sub(r'\d+$', '', column_name)
         
         print(position_filter)
 
@@ -57,12 +57,12 @@ def create_position_export_dict(column_name, csv_file):
         
         try:
             filtered_df = filtered_df.sort_values(by='Salary', ascending=False).drop_duplicates(subset=['Name'])
-            print(filtered_df)
+            print(dict(zip(filtered_df['Name'], filtered_df['Name + ID'])))
             return dict(zip(filtered_df['Name'], filtered_df['Name + ID']))
         except:
             try:
                 filtered_df = filtered_df.sort_values(by='Salary', ascending=False).drop_duplicates(subset=['Nickname'])
-                print(filtered_df)
+                print(dict(zip(filtered_df['Nickname'], filtered_df['Id'])))
                 return dict(zip(filtered_df['Nickname'], filtered_df['Id']))
             except:
                 # Final fallback