Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import altair as alt
+
+st.set_page_config(page_title="Shipment Monitoring Dashboard", layout="wide")
+st.title("🚚 Shipment Monitoring Dashboard")
+
+uploaded_file = st.file_uploader("Upload your Excel file", type=["xlsx"])
+
+if uploaded_file:
+    df = pd.read_excel(uploaded_file, sheet_name=0)
+
+    # Rename columns
+    df.columns = ['MAWB', 'MAWB Serial Number', 'Injection Gateway', 'Clearance Port', 'Latest Status',
+                  'Cartons', 'Packages', 'Weights', 'Not online packages count', 'ETD', 'ETA', 'ATD', 'ATA',
+                  'Last Mile Carrier', 'Readynotice has been notified', 'Vehicle has been arranged',
+                  'Pick-upcompletedfrom', 'WH-IN Scan', 'Cargo Ready', 'Ship Out', 'Note',
+                  'Exception Note', 'Exception Note Description']
+
+    # Add status column
+    def determine_status(row):
+        if pd.isna(row['WH-IN Scan']):
+            return "Pending"
+        elif pd.isna(row['Cargo Ready']):
+            return "WH-IN"
+        elif pd.isna(row['Ship Out']):
+            return "Cargo Ready"
+        else:
+            return "Ship Out"
+
+    df['Shipment Status'] = df.apply(determine_status, axis=1)
+
+    # Shipment status summary
+    st.subheader("📊 Shipment Status Distribution")
+    status_counts = df['Shipment Status'].value_counts().reset_index()
+    status_counts.columns = ['Shipment Status', 'Count']
+    chart = alt.Chart(status_counts).mark_bar().encode(
+        x='Shipment Status',
+        y='Count',
+        color='Shipment Status',
+        tooltip=['Shipment Status', 'Count']
+    )
+    st.altair_chart(chart, use_container_width=True)
+
+    # Volume by ETA
+    st.subheader("📅 Shipment Volume by ETA")
+    df['ETA'] = pd.to_datetime(df['ETA'])
+    volume_by_eta = df.groupby('ETA').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).transform_fold(
+        ['Shipment Count', 'Cartons', 'Packages', 'Weights'],
+        as_=['Metric', 'Value']
+    ).mark_line(point=True).encode(
+        x='ETA:T',
+        y='Value:Q',
+        color='Metric:N',
+        tooltip=['ETA:T', 'Metric:N', 'Value:Q']
+    ).properties(height=400)
+
+    st.altair_chart(line_chart, use_container_width=True)