feat: update combined time series graph to connect APR data points with consistent line color and improved legend handling

app.py

@@ -615,18 +615,21 @@ def create_combined_time_series_graph(df):
                     )
                 )
         
-        # Add the combined line AFTER markers for both APR and Performance
-        fig.add_trace(
-            go.Scatter(
-                x=agent_data['timestamp'],
-                y=agent_data['apr'],
-                mode='lines',
-                line=dict(color=color, width=2),
-                name=f'{agent_name}',
-                legendgroup=agent_name,
-                hovertemplate='Time: %{x}<br>Value: %{y:.2f}<br>Agent: ' + agent_name + '<extra></extra>'
+        # Add the line connecting APR data points
+        # MODIFIED: Make sure to use same color for line and marker and ensure line mode works
+        if not apr_data.empty:
+            fig.add_trace(
+                go.Scatter(
+                    x=apr_data['timestamp'],
+                    y=apr_data['apr'],
+                    mode='lines',
+                    line=dict(color='blue', width=2),
+                    name=f'{agent_name} Line',
+                    legendgroup=agent_name,
+                    showlegend=False,  # Don't show duplicate legend entries
+                    hovertemplate='Time: %{x}<br>Value: %{y:.2f}<br>Agent: ' + agent_name + '<extra></extra>'
+                )
             )
-        )
     
     # Update layout - use simple boolean values everywhere
     fig.update_layout(