Update app.py

app.py

@@ -864,6 +864,133 @@ EXAMPLES = [
     ["u_bob", "Gas Stations", "Shell", 45.00, False, "", ""],
 ]
 
+def update_analytics_with_charts(user_id: str):
+            """Fetch and format analytics with charts for selected user"""
+            
+            try:
+                result = client.get_user_analytics(user_id)
+                
+                print("=" * 60)
+                print(f"DEBUG: Analytics for {user_id}")
+                print(f"Success: {result.get('success')}")
+                if result.get('data'):
+                    print(f"Data keys: {result['data'].keys()}")
+                    print(f"Total spending: {result['data'].get('total_spending')}")
+                    print(f"Total rewards: {result['data'].get('total_rewards')}")
+                print("=" * 60)
+                
+                if not result.get('success'):
+                    error_msg = result.get('error', 'Unknown error')
+                    empty_fig = create_empty_chart(f"Error: {error_msg}")
+                    return (
+                        f"<p>❌ Error: {error_msg}</p>",
+                        empty_fig, empty_fig, empty_fig, empty_fig, empty_fig,
+                        "Error loading data",
+                        "Error loading data",
+                        "Error loading data",
+                        f"*Error: {error_msg}*"
+                    )
+                
+                analytics_data = result.get('data', {})
+                
+                if not analytics_data:
+                    empty_fig = create_empty_chart("No analytics data available")
+                    return (
+                        "<p>No data available</p>",
+                        empty_fig, empty_fig, empty_fig, empty_fig, empty_fig,
+                        "No data",
+                        "No data",
+                        "No data",
+                        "*No data available*"
+                    )
+                
+                metrics_html, table_md, insights_md, forecast_md = format_analytics_metrics(analytics_data)
+                
+                spending_fig = create_spending_chart(analytics_data)
+                pie_fig = create_rewards_pie_chart(analytics_data)
+                gauge_fig = create_optimization_gauge(analytics_data)
+                trend_fig = create_trend_line_chart(analytics_data)
+                performance_fig = create_card_performance_chart(analytics_data)
+                
+                from datetime import datetime
+                status = f"*Analytics updated for {user_id} at {datetime.now().strftime('%I:%M %p')}*"
+                
+                return (
+                    metrics_html,
+                    spending_fig,
+                    gauge_fig,
+                    pie_fig,
+                    performance_fig,
+                    trend_fig,
+                    table_md,
+                    insights_md,
+                    forecast_md,
+                    status
+                )
+                
+            except Exception as e:
+                error_details = traceback.format_exc()
+                error_msg = f"❌ Error loading analytics: {str(e)}"
+                print(error_msg)
+                print(error_details)
+                
+                empty_fig = create_empty_chart("Error loading chart")
+                
+                return (
+                    f"<p>{error_msg}</p>",
+                    empty_fig, empty_fig, empty_fig, empty_fig, empty_fig,
+                    "Error loading table",
+                    "Error loading insights",
+                    "Error loading forecast",
+                    f"*{error_msg}*"
+                )
+        
+        def create_empty_chart(message: str) -> go.Figure:
+            """Helper to create empty chart with message"""
+            fig = go.Figure()
+            fig.add_annotation(
+                text=message,
+                xref="paper", yref="paper",
+                x=0.5, y=0.5, showarrow=False,
+                font=dict(size=14, color="#666")
+            )
+            fig.update_layout(height=400, template='plotly_white')
+            return fig
+        
+        refresh_analytics_btn.click(
+            fn=update_analytics_with_charts,
+            inputs=[analytics_user],
+            outputs=[
+                metrics_display,
+                spending_chart,
+                optimization_gauge,
+                rewards_pie_chart,
+                card_performance_chart,
+                trend_chart,
+                spending_table,
+                insights_display,
+                forecast_display,
+                analytics_status
+            ]
+        )
+        
+        analytics_user.change(
+            fn=update_analytics_with_charts,
+            inputs=[analytics_user],
+            outputs=[
+                metrics_display,
+                spending_chart,
+                optimization_gauge,
+                rewards_pie_chart,
+                card_performance_chart,
+                trend_chart,
+                spending_table,
+                insights_display,
+                forecast_display,
+                analytics_status
+            ]
+        )
+
 def _toggle_custom_mcc(use_custom: bool):
     return gr.update(visible=use_custom, value="")
 
@@ -1229,132 +1356,7 @@ Get AI-powered credit card recommendations that maximize your rewards based on:
             ]
         )
         
-        def update_analytics_with_charts(user_id: str):
-            """Fetch and format analytics with charts for selected user"""
-            
-            try:
-                result = client.get_user_analytics(user_id)
-                
-                print("=" * 60)
-                print(f"DEBUG: Analytics for {user_id}")
-                print(f"Success: {result.get('success')}")
-                if result.get('data'):
-                    print(f"Data keys: {result['data'].keys()}")
-                    print(f"Total spending: {result['data'].get('total_spending')}")
-                    print(f"Total rewards: {result['data'].get('total_rewards')}")
-                print("=" * 60)
-                
-                if not result.get('success'):
-                    error_msg = result.get('error', 'Unknown error')
-                    empty_fig = create_empty_chart(f"Error: {error_msg}")
-                    return (
-                        f"<p>❌ Error: {error_msg}</p>",
-                        empty_fig, empty_fig, empty_fig, empty_fig, empty_fig,
-                        "Error loading data",
-                        "Error loading data",
-                        "Error loading data",
-                        f"*Error: {error_msg}*"
-                    )
-                
-                analytics_data = result.get('data', {})
-                
-                if not analytics_data:
-                    empty_fig = create_empty_chart("No analytics data available")
-                    return (
-                        "<p>No data available</p>",
-                        empty_fig, empty_fig, empty_fig, empty_fig, empty_fig,
-                        "No data",
-                        "No data",
-                        "No data",
-                        "*No data available*"
-                    )
-                
-                metrics_html, table_md, insights_md, forecast_md = format_analytics_metrics(analytics_data)
-                
-                spending_fig = create_spending_chart(analytics_data)
-                pie_fig = create_rewards_pie_chart(analytics_data)
-                gauge_fig = create_optimization_gauge(analytics_data)
-                trend_fig = create_trend_line_chart(analytics_data)
-                performance_fig = create_card_performance_chart(analytics_data)
-                
-                from datetime import datetime
-                status = f"*Analytics updated for {user_id} at {datetime.now().strftime('%I:%M %p')}*"
-                
-                return (
-                    metrics_html,
-                    spending_fig,
-                    gauge_fig,
-                    pie_fig,
-                    performance_fig,
-                    trend_fig,
-                    table_md,
-                    insights_md,
-                    forecast_md,
-                    status
-                )
-                
-            except Exception as e:
-                error_details = traceback.format_exc()
-                error_msg = f"❌ Error loading analytics: {str(e)}"
-                print(error_msg)
-                print(error_details)
-                
-                empty_fig = create_empty_chart("Error loading chart")
-                
-                return (
-                    f"<p>{error_msg}</p>",
-                    empty_fig, empty_fig, empty_fig, empty_fig, empty_fig,
-                    "Error loading table",
-                    "Error loading insights",
-                    "Error loading forecast",
-                    f"*{error_msg}*"
-                )
-        
-        def create_empty_chart(message: str) -> go.Figure:
-            """Helper to create empty chart with message"""
-            fig = go.Figure()
-            fig.add_annotation(
-                text=message,
-                xref="paper", yref="paper",
-                x=0.5, y=0.5, showarrow=False,
-                font=dict(size=14, color="#666")
-            )
-            fig.update_layout(height=400, template='plotly_white')
-            return fig
-        
-        refresh_analytics_btn.click(
-            fn=update_analytics_with_charts,
-            inputs=[analytics_user],
-            outputs=[
-                metrics_display,
-                spending_chart,
-                optimization_gauge,
-                rewards_pie_chart,
-                card_performance_chart,
-                trend_chart,
-                spending_table,
-                insights_display,
-                forecast_display,
-                analytics_status
-            ]
-        )
         
-        analytics_user.change(
-            fn=update_analytics_with_charts,
-            inputs=[analytics_user],
-            outputs=[
-                metrics_display,
-                spending_chart,
-                optimization_gauge,
-                rewards_pie_chart,
-                card_performance_chart,
-                trend_chart,
-                spending_table,
-                insights_display,
-                forecast_display,
-                analytics_status
-            ]
-        )
         
         with gr.Tab("💬 Ask AI"):
             gr.Markdown("## Chat with RewardPilot AI")