fix: fixed filtering prioritization

utils/gradio_utils.py

@@ -243,11 +243,14 @@ def compute_offer(csv_file, days_lookback, min_sent):
         'Click Open', 'Leads', 'CLike', 'Complains', 'Traps', 'Send']
     # comcast_df = raw_df[raw_df['Nume'].str.contains('|'.join(cmp_list))]  #1
     # comcast_df = comcast_df[comcast_df['Domeniu'] == 'Comcast'] #2
+    exclude_list = comcast_df[(comcast_df['Data'] > (pd.Timestamp('now') - pd.Timedelta(days=days_lookback))) \
+                            & (comcast_df['Domeniu'] == 'Comcast')]['Oferta'].unique()
+    comcast_df = comcast_df[~comcast_df['Oferta'].isin(exclude_list)]
+    
     comcast_df = comcast_df[comcast_df['Send'] > int(min_sent)]
     comcast_df = comcast_df[cols]
     comcast_df['Click Open'] = comcast_df['Click Open'].str.replace('%', '').astype(float)
-    exclude_list = comcast_df[comcast_df['Data'] > (pd.Timestamp('now') - pd.Timedelta(days=days_lookback))]['Oferta'].unique()
-    comcast_df = comcast_df[~comcast_df['Oferta'].isin(exclude_list)]
+    
     # comcast_df = comcast_df[comcast_df['Lista Custom'].str.contains('open')]
     comcast_df = comcast_df[comcast_df['Nume'].str.startswith("Aeon News") & comcast_df['Nume'].str.contains(r'\b[A-Z]{3}\b.*\b\d{4}\*?\s*(\(\d{4}\))?\b')]