Update app.py

app.py

@@ -1,7 +1,6 @@
 import streamlit as st
 import pandas as pd
 import altair as alt
-import io
 
 st.set_page_config(page_title="Shipment Monitoring Dashboard", layout="wide")
 st.title("Shipment Monitoring Dashboard")
@@ -97,10 +96,12 @@ 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', 'Exception Note Description']].sort_values(by='ETA')
+        sorted_df = filtered_df[['MAWB', 'ETA', 'ATA', 'Shipment Status', 'Cartons', 'Last Mile Carrier']].sort_values(by='ETA')
         st.dataframe(sorted_df, use_container_width=True)
 
-        # Export to Excel
+        # Add download as Excel button
+        import io
+
         excel_buffer = io.BytesIO()
         with pd.ExcelWriter(excel_buffer, engine='xlsxwriter') as writer:
             sorted_df.to_excel(writer, index=False, sheet_name='Shipment Details')
@@ -112,17 +113,33 @@ with tabs[0]:
             file_name="shipment_details.xlsx",
             mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
         )
-        
+
 with tabs[1]:
     st.header("Upload CTN File for Last Mile Summary")
-    ctn_file = st.file_uploader("Upload Excel with Last Mile Service", type=["xlsx"], key="ctn_upload")
+    ctn_files = st.file_uploader("Upload one or more Excel files with Last Mile Service", type=["xlsx"], key="ctn_upload", accept_multiple_files=True)
 
-    if ctn_file:
-        df_ctn = pd.read_excel(ctn_file, sheet_name=0)
+    if ctn_files:
+        df_list = []
+        for file in ctn_files:
+            df_part = pd.read_excel(file, sheet_name=0)
+            df_list.append(df_part)
+
+        df_ctn = pd.concat(df_list, ignore_index=True)
 
         # Try to match the correct column
         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')
-        st.dataframe(grouped, use_container_width=True)
+        # Uploaded Preview: group by MAWB + Last Mile Service
+        st.subheader("MAWB Last Mile Cartons Count")
+        if 'MAWB' in df_ctn.columns:
+            preview_grouped = df_ctn.groupby(['MAWB', last_mile_col]).size().reset_index(name='CTN Count')
+            st.dataframe(preview_grouped, use_container_width=True)
+
+        # Grouped Summary: only for Last Mile Service == GOFO, grouped by MAWB + Channal_name
+        st.subheader("GOFO Each Channel Cartons Summary")
+        if 'Channal_name' in df_ctn.columns:
+            df_gofo = df_ctn[df_ctn[last_mile_col].str.upper() == 'GOFO']
+            grouped = df_gofo.groupby(['MAWB', 'Channal_name']).size().reset_index(name='CTN Count')
+            st.dataframe(grouped, use_container_width=True)
+        else:
+            st.warning("Column 'Channal_name' not found in the uploaded file(s). Please ensure this column exists.")