Update app.py

app.py

@@ -62,19 +62,22 @@ with tabs[0]:
 
         st.altair_chart(chart, use_container_width=True)
 
-        # Volume by ETA
+        # Volume by ETA (grouped by date only)
         st.subheader("Shipment Volume by ETA")
-        volume_by_eta = df.groupby('ETA').agg({
+        df['ETA_Date'] = df['ETA'].dt.date
+        volume_by_eta = df.groupby('ETA_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)
 
         line_chart = alt.Chart(volume_by_eta).mark_line(point=True).encode(
-            x='ETA:T',
+            x='ETA_Date:T',
             y='Cartons:Q',
-            tooltip=['ETA:T', 'Shipment Count:Q', 'Cartons:Q']
+            tooltip=['ETA_Date:T', 'Shipment Count:Q', 'Cartons:Q', 'Packages:Q', 'Weights:Q']
         ).properties(height=400)
 
         st.altair_chart(line_chart, use_container_width=True)
@@ -103,5 +106,5 @@ with tabs[1]:
         last_mile_col = [col for col in df_ctn.columns if "last mile" in col.lower()][0]
 
         # Group by Last Mile Service and aggregate by row count
-        grouped = df_ctn.groupby(last_mile_col).size().reset_index(name='CTN Count')
+        grouped = df_ctn.groupby(last_mile_col).size().reset_index(name='Row Count')
         st.dataframe(grouped, use_container_width=True)