Update app.py

app.py

@@ -75,12 +75,12 @@ def generate_main_accounts(updated_data=None):
             save_processed_files(UPDATED_ASSIGNMENTS, PROCESSED_FOLDER)
             return "Assignments updated successfully!", pd.DataFrame(updated_data)
 
-        # Generate new assignments if no updated data is provided
-        main_assignments = assign_main_accounts(creators_file, chatter_files)
-        UPDATED_ASSIGNMENTS = main_assignments
+        # Debugging: Verify creators file before processing
+        print("DEBUG: Original Creators File Columns")
+        creators_df = pd.read_excel(creators_file)
+        print(creators_df.columns)
 
         # Ensure creators file has correct columns
-        creators_df = pd.read_excel(creators_file)
         column_mapping = {
             "Creator": "Creator",
             "Total earnings": "Total earnings",
@@ -90,6 +90,10 @@ def generate_main_accounts(updated_data=None):
         }
         creators_df.rename(columns={k: v for k, v in column_mapping.items() if k in creators_df.columns}, inplace=True)
 
+        # Debugging: Verify creators file after renaming
+        print("DEBUG: Renamed Creators File Columns")
+        print(creators_df.columns)
+
         required_columns = ["Creator", "ActiveFans"]
         missing_columns = [col for col in required_columns if col not in creators_df.columns]
         if missing_columns:
@@ -97,6 +101,8 @@ def generate_main_accounts(updated_data=None):
 
         # Save the processed creators file
         creators_df.to_excel(os.path.join(PROCESSED_FOLDER, "creators_file.xlsx"), index=False)
+        main_assignments = assign_main_accounts(creators_file, chatter_files)
+        UPDATED_ASSIGNMENTS = main_assignments
         save_processed_files(main_assignments, PROCESSED_FOLDER)
 
         # Combine all shifts into a single DataFrame for preview
@@ -117,6 +123,7 @@ def generate_main_accounts(updated_data=None):
 
 
 
+
 # Global variable to store updated assignments from the main account generation
 UPDATED_ASSIGNMENTS = {}