Update app.py

app.py

@@ -697,7 +697,15 @@ def page_frauds():
         return
     
     with st.spinner("Chargement des fraudes..."):
-        df = load_last_24h_data()  
+        df = load_last_24h_data()
+        
+        # 🔧 Convertir created_at en heure de Paris
+        if 'created_at' in df.columns and not df.empty:
+            df['created_at'] = pd.to_datetime(df['created_at'], utc=True)
+            df['created_at'] = df['created_at'].dt.tz_convert('Europe/Paris')
+            # Formater pour affichage plus lisible
+            df['created_at_display'] = df['created_at'].dt.strftime('%Y-%m-%d %H:%M:%S')
+        
         df_frauds = df[df['pred_is_fraud'] == 1]
     
     st.markdown(f"""
@@ -707,8 +715,13 @@ def page_frauds():
     """, unsafe_allow_html=True)
     
     if not df_frauds.empty:
+        # Utiliser created_at_display au lieu de created_at pour l'affichage
+        display_cols = ['trans_num','merchant','category','amt','city','gender','created_at_display']
+        df_display = df_frauds[display_cols].copy()
+        df_display = df_display.rename(columns={'created_at_display': 'Date/Heure (Paris)'})
+        
         st.dataframe(
-            df_frauds[['trans_num','merchant','category','amt','city','gender','created_at']].sort_values('created_at', ascending=False),
+            df_display.sort_values('Date/Heure (Paris)', ascending=False),
             use_container_width=True,
             height=600
         )
@@ -737,6 +750,14 @@ def page_no_frauds():
     
     with st.spinner("Chargement des transactions légitimes..."):
         df = load_last_24h_data()
+        
+        # 🔧 Convertir created_at en heure de Paris
+        if 'created_at' in df.columns and not df.empty:
+            df['created_at'] = pd.to_datetime(df['created_at'], utc=True)
+            df['created_at'] = df['created_at'].dt.tz_convert('Europe/Paris')
+            # Formater pour affichage plus lisible
+            df['created_at_display'] = df['created_at'].dt.strftime('%Y-%m-%d %H:%M:%S')
+        
         df_no_frauds = df[df['pred_is_fraud'] == 0]
     
     st.markdown(f"""
@@ -746,8 +767,13 @@ def page_no_frauds():
     """, unsafe_allow_html=True)
     
     if not df_no_frauds.empty:
+        # Utiliser created_at_display au lieu de created_at pour l'affichage
+        display_cols = ['trans_num','merchant','category','amt','city','gender','created_at_display']
+        df_display = df_no_frauds[display_cols].copy()
+        df_display = df_display.rename(columns={'created_at_display': 'Date/Heure (Paris)'})
+        
         st.dataframe(
-            df_no_frauds[['trans_num','merchant','category','amt','city','gender','created_at']].sort_values('created_at', ascending=False),
+            df_display.sort_values('Date/Heure (Paris)', ascending=False),
             use_container_width=True,
             height=600
         )