Update app.py

app.py

@@ -27,18 +27,66 @@ def load_data(file):
 def get_material_stats(df):
     stats = {}
     total = df['weight_kg'].sum()
+
+    total_work_days = df['date'].nunique()
+    
     for material in df['material_type'].unique():
         data = df[df['material_type'] == material]
+
+        work_days = data['date'].nunique()
         daily_avg = data.groupby('date')['weight_kg'].sum().mean()
         
         stats[material] = {
             'total': data['weight_kg'].sum(),
             'percentage': (data['weight_kg'].sum() / total) * 100,
             'daily_avg': daily_avg,
+            'work_days': work_days,
             'records': len(data)
         }
+    
+    stats['_total_'] = {
+        'total': total,
+        'percentage': 100.0,
+        'daily_avg': df.groupby('date')['weight_kg'].sum().mean(),
+        'work_days': total_work_days,
+        'records': len(df)
+    }
+    
     return stats
 
+def display_material_overview(stats):
+    st.subheader("📋 Material Overview")
+    
+
+    materials = [k for k in stats.keys() if k != '_total_']
+    
+
+    cols = st.columns(4)
+    
+
+    for i, material in enumerate(materials):
+        if i < 3: 
+            info = stats[material]
+            with cols[i]:
+                st.metric(
+                    label=material.replace('_', ' ').title(),
+                    value=f"{info['total']:,.0f} kg",
+                    delta=f"{info['percentage']:.1f}% of total"
+                )
+                st.caption(f"Daily avg: {info['daily_avg']:,.0f} kg")
+                st.caption(f"Work days: {info['work_days']} days")
+    
+
+    total_info = stats['_total_']
+    with cols[3]:
+        st.metric(
+            label="Total Production",
+            value=f"{total_info['total']:,.0f} kg",
+            delta="100% of total"
+        )
+        st.caption(f"Daily avg: {total_info['daily_avg']:,.0f} kg")
+        st.caption(f"Work days: {total_info['work_days']} days")
+
 def create_trend_chart(df, time_period='daily', material_filter=None):
     if material_filter:
         df = df[df['material_type'].isin(material_filter)]