Update app.py

app.py

@@ -80,6 +80,35 @@ def create_total_production_chart(df, time_period='daily'):
         fig.update_traces(line=dict(color='#1f77b4'))
     return fig
 
+def create_materials_trend_chart(df, time_period='daily', selected_materials=None):
+    """Create individual materials trend chart"""
+    if selected_materials:
+        df = df[df['material_type'].isin(selected_materials)]
+    
+    if time_period == 'daily':
+        grouped = df.groupby(['date', 'material_type'])['weight_kg'].sum().reset_index()
+        fig = px.line(grouped, x='date', y='weight_kg', color='material_type',
+                     title='🏷️ Materials Production Trends',
+                     labels={'weight_kg': 'Weight (kg)', 'date': 'Date', 'material_type': 'Material'})
+    elif time_period == 'weekly':
+        df['week'] = df['date'].dt.isocalendar().week
+        df['year'] = df['date'].dt.year
+        grouped = df.groupby(['year', 'week', 'material_type'])['weight_kg'].sum().reset_index()
+        grouped['week_label'] = grouped['year'].astype(str) + '-W' + grouped['week'].astype(str)
+        fig = px.bar(grouped, x='week_label', y='weight_kg', color='material_type',
+                    title='🏷️ Materials Production Trends (Weekly)',
+                    labels={'weight_kg': 'Weight (kg)', 'week_label': 'Week', 'material_type': 'Material'})
+    else:  # monthly
+        df['month'] = df['date'].dt.to_period('M')
+        grouped = df.groupby(['month', 'material_type'])['weight_kg'].sum().reset_index()
+        grouped['month'] = grouped['month'].astype(str)
+        fig = px.bar(grouped, x='month', y='weight_kg', color='material_type',
+                    title='🏷️ Materials Production Trends (Monthly)',
+                    labels={'weight_kg': 'Weight (kg)', 'month': 'Month', 'material_type': 'Material'})
+    
+    fig.update_layout(height=400)
+    return fig
+
 def create_shift_trend_chart(df, time_period='daily'):
     """Create shift production trend chart over time"""
     if time_period == 'daily':