Update app.py

app.py

@@ -80,7 +80,34 @@ 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):
+def create_shift_trend_chart(df, time_period='daily'):
+    """Create shift production trend chart over time"""
+    if time_period == 'daily':
+        grouped = df.groupby(['date', 'shift'])['weight_kg'].sum().reset_index()
+        fig = px.bar(grouped, x='date', y='weight_kg', color='shift',
+                     title='📅 Daily Shift Production Trends',
+                     labels={'weight_kg': 'Weight (kg)', 'date': 'Date', 'shift': 'Shift'},
+                     barmode='group')
+    elif time_period == 'weekly':
+        df['week'] = df['date'].dt.isocalendar().week
+        df['year'] = df['date'].dt.year
+        grouped = df.groupby(['year', 'week', 'shift'])['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='shift',
+                    title='📅 Weekly Shift Production Trends',
+                    labels={'weight_kg': 'Weight (kg)', 'week_label': 'Week', 'shift': 'Shift'},
+                    barmode='group')
+    else:  # monthly
+        df['month'] = df['date'].dt.to_period('M')
+        grouped = df.groupby(['month', 'shift'])['weight_kg'].sum().reset_index()
+        grouped['month'] = grouped['month'].astype(str)
+        fig = px.bar(grouped, x='month', y='weight_kg', color='shift',
+                    title='📅 Monthly Shift Production Trends',
+                    labels={'weight_kg': 'Weight (kg)', 'month': 'Month', 'shift': 'Shift'},
+                    barmode='group')
+    
+    fig.update_layout(height=400)
+    return fig
     """Create individual materials trend chart"""
     if selected_materials:
         df = df[df['material_type'].isin(selected_materials)]
@@ -204,12 +231,11 @@ def main():
         # Materials Production Chart Section
         st.subheader("🏷️ Materials Production Trends")
         
-        col_mat1, col_mat2, col_mat3 = st.columns([1, 2, 3])
+        col_mat1, col_mat2 = st.columns([1, 3])
         
         with col_mat1:
             materials_time_view = st.selectbox("Materials Time Period", ["daily", "weekly", "monthly"], key="materials_time")
-        
-        with col_mat2:
+            
             selected_materials = st.multiselect(
                 "Select Materials", 
                 options=materials,
@@ -218,7 +244,7 @@ def main():
                 help="Choose which materials to display"
             )
         
-        with col_mat3:
+        with col_mat2:
             if selected_materials:
                 materials_chart = create_materials_trend_chart(df, materials_time_view, selected_materials)
                 st.plotly_chart(materials_chart, use_container_width=True)
@@ -229,6 +255,19 @@ def main():
         if 'shift' in df.columns:
             st.subheader("🌓 Shift Analysis")
             
+            # Shift time trend controls
+            col_shift_ctrl, col_shift_space = st.columns([2, 2])
+            
+            with col_shift_ctrl:
+                shift_time_view = st.selectbox("Shift Time Period", ["daily", "weekly", "monthly"], key="shift_time")
+            
+            # Daily shift trend chart
+            st.markdown("**📈 Shift Production Trends**")
+            shift_trend_chart = create_shift_trend_chart(df, shift_time_view)
+            st.plotly_chart(shift_trend_chart, use_container_width=True)
+            
+            # Shift comparison charts
+            st.markdown("**📊 Shift Comparison Analysis**")
             shift_col1, shift_col2 = st.columns(2)
             
             with shift_col1: