Update app.py

app.py

@@ -33,6 +33,11 @@ with tabs[0]:
 
         df['Shipment Status'] = df.apply(determine_status, axis=1)
         df['ETA'] = pd.to_datetime(df['ETA'])
+        df['ATA'] = pd.to_datetime(df['ATA'])
+
+        # Fallback date: ATA if available, otherwise ETA
+        df['Final Arrival Date'] = df['ATA'].fillna(df['ETA'])
+        df['Final Arrival Date'] = pd.to_datetime(df['Final Arrival Date']).dt.date
 
         # Filter for Injection Gateway
         injection_gateways = df['Injection Gateway'].dropna().unique().tolist()
@@ -62,22 +67,21 @@ with tabs[0]:
 
         st.altair_chart(chart, use_container_width=True)
 
-        # Volume by ETA (grouped by date only)
+        # Volume by final arrival date (ATA preferred, fallback to ETA)
         st.subheader("Shipment Volume by ETA")
-        df['ETA_Date'] = df['ETA'].dt.date
-        volume_by_eta = df.groupby('ETA_Date').agg({
+        volume_by_arrival = df.groupby('Final Arrival Date').agg({
             'MAWB': 'count',
             'Cartons': 'sum',
             'Packages': 'sum',
             'Weights': 'sum'
         }).reset_index().rename(columns={'MAWB': 'Shipment Count'})
 
-        st.dataframe(volume_by_eta, use_container_width=True)
+        st.dataframe(volume_by_arrival, use_container_width=True)
 
-        line_chart = alt.Chart(volume_by_eta).mark_line(point=True).encode(
-            x='ETA_Date:T',
+        line_chart = alt.Chart(volume_by_arrival).mark_line(point=True).encode(
+            x='Final Arrival Date:T',
             y='Cartons:Q',
-            tooltip=['ETA_Date:T', 'Shipment Count:Q', 'Cartons:Q', 'Packages:Q', 'Weights:Q']
+            tooltip=['Final Arrival Date:T', 'Shipment Count:Q', 'Cartons:Q', 'Packages:Q', 'Weights:Q']
         ).properties(height=400)
 
         st.altair_chart(line_chart, use_container_width=True)
@@ -92,7 +96,7 @@ with tabs[0]:
         else:
             filtered_df = df[df['Shipment Status'] == selected_status]
 
-        sorted_df = filtered_df[['MAWB', 'ETA', 'ATA', 'Shipment Status', 'Cartons', 'Last Mile Carrier']].sort_values(by='ETA')
+        sorted_df = filtered_df[['MAWB', 'ETA', 'ATA', 'Shipment Status', 'Cartons', 'Last Mile Carrier', 'Exception Note Description']].sort_values(by='ETA')
         st.dataframe(sorted_df, use_container_width=True)
 
 with tabs[1]: