fix: Refactor compute_offer function to exclude offers by offer_id

utils/gradio_utils.py

@@ -258,14 +258,16 @@ def compute_offer(csv_file, days_lookback, min_sent, domain, team, offer_type, x
     else:
         team_members = [] # All
 
-    cols = ['Campanie', 'Oferta', 'Nume', 'Server', 'User',
+    cols = ['Campanie', 'Oferta', 'Nume', 'Server', 'User', 'offer_id',
         'Lista Custom', 'Data', 'HClicks', 'Clicks', 'Unscribers', 'Openers',
         'Click Open', 'Leads', 'CLike', 'Complains', 'Traps', 'Send', 'ECPM', 'Comision', 'Domeniu']
 
+    df_all['offer_id'] = df_all['Nume'].str.extract(r'(\d{3,4}$)')
+
     exclude_list = df_all[(df_all['Data'] > (pd.Timestamp('now') - pd.Timedelta(days=days_lookback))) \
                             & (df_all['Domeniu'] == domain)\
-                            & (df_all['User'].isin(team_members))]['Oferta'].unique()
-    df_all = df_all[~df_all['Oferta'].isin(exclude_list)]
+                            & (df_all['User'].isin(team_members))]['offer_id'].unique()
+    df_all = df_all[~df_all['offer_id'].isin(exclude_list)]
     
     df_all = df_all[df_all['Send'] > int(min_sent)]
     df_all = df_all[cols]
@@ -322,7 +324,6 @@ def compute_offer(csv_file, days_lookback, min_sent, domain, team, offer_type, x
         final_df['ECPM'] = final_df['ECPM'].round(2).astype(float)
         final_df.reset_index(inplace=True)
     elif offer_type == "Offers - IDs only":
-        df_all['offer_id'] = df_all['Nume'].str.extract(r'(\d{3,4}$)')
 
         final_df = df_all.groupby(["offer_id"])\
             .agg( times_sent=('offer_id', 'count'), send_avg=('Send', 'mean'), total_sent=('Send', 'sum'),\