.gitignore

@@ -1,5 +1,3 @@
 app/__pycache__/
 app/.flask_session/
-.flask_session/
-venv/
 .env

app/app.py

@@ -27,7 +27,7 @@ def get_dataframe(key):
     return df
 
 
-def get_merged_df(table_name): # return table_name: str
+def get_merged_df(table_name):
     """
     Return a DataFrame for the given table_name based on Stripe and Raisenow inputs,
     enforcing strict one-to-one matching with:
@@ -36,7 +36,7 @@ def get_merged_df(table_name): # return table_name: str
       - no pandas merge suffixes at all
       - all original columns (including Raisenow's norm_zweck) preserved
     """
-    print('calculated DataFrame')
+
     # --- load & normalize Stripe ---
     stripe_import = get_dataframe('stripe_import')
     
@@ -339,12 +339,10 @@ def upload():
         return jsonify({'error': 'No files uploaded'}), 400
 
     for f in files:
-        print('uploading file:', f.filename)
         raw = (
             pd.read_csv(f) if f.filename.lower().endswith('.csv') else pd.read_excel(f)
         )
         raw = raw.dropna(how='all').dropna(axis=1, how='all')
-        print('number of rows:', len(raw))
         raw = raw.astype(object).replace({np.nan: None})
         cols = list(raw.columns)
         if cols[:len(STRIPE_STARTING_COLS)] == STRIPE_STARTING_COLS:
@@ -369,9 +367,9 @@ def upload():
 @app.route('/get_table')
 def get_table():
     table = request.args.get('table')
-    print('get_table:', table)
+    
     df = get_merged_df(table)
-    print('number of rows:', len(df))
+
     df = df.astype(object).where(pd.notnull(df), None)
     return jsonify({
         'columns': list(df.columns),