add

app.py

@@ -304,9 +304,9 @@ def create_monthly_metrics_plot(type="issue", top_n=5):
         print_msg = "discussion"
     elif type == "wanted":
         metrics_key = 'wanted_issue_monthly_metrics'
-        total_field = 'total_wanted'
+        total_field = 'resolved_wanted'  # Only resolved_wanted is available now
         no_data_msg = "No wanted issue data available for visualization"
-        total_label = "Total Wanted Issues"
+        total_label = "Resolved Wanted Issues"
         print_msg = "wanted issue"
 
     # Load from saved dataset
@@ -390,41 +390,45 @@ def create_monthly_metrics_plot(type="issue", top_n=5):
         color = agent_colors[agent_name]
         agent_data = data[agent_name]
 
-        # Add line trace for resolved rate (left y-axis)
-        resolved_rates = agent_data['resolved_rates']
-        # Filter out None values for plotting
-        x_resolved = [month for month, rate in zip(months, resolved_rates) if rate is not None]
-        y_resolved = [rate for rate in resolved_rates if rate is not None]
-
-        if x_resolved and y_resolved:  # Only add trace if there's data
-            fig.add_trace(
-                go.Scatter(
-                    x=x_resolved,
-                    y=y_resolved,
-                    name=agent_name,
-                    mode='lines+markers',
-                    line=dict(color=color, width=2),
-                    marker=dict(size=8),
-                    legendgroup=agent_name,
-                    showlegend=(top_n is not None and top_n <= 10),  # Show legend for top N assistants
-                    hovertemplate='<b>Assistant: %{fullData.name}</b><br>' +
-                                 'Month: %{x}<br>' +
-                                 'Resolved Rate: %{y:.2f}%<br>' +
-                                 '<extra></extra>'
-                ),
-                secondary_y=False
-            )
+        # Add line trace for resolved rate (left y-axis) - only if resolved_rates exists
+        resolved_rates = agent_data.get('resolved_rates')
+        if resolved_rates:
+            # Filter out None values for plotting
+            x_resolved = [month for month, rate in zip(months, resolved_rates) if rate is not None]
+            y_resolved = [rate for rate in resolved_rates if rate is not None]
+
+            if x_resolved and y_resolved:  # Only add trace if there's data
+                fig.add_trace(
+                    go.Scatter(
+                        x=x_resolved,
+                        y=y_resolved,
+                        name=agent_name,
+                        mode='lines+markers',
+                        line=dict(color=color, width=2),
+                        marker=dict(size=8),
+                        legendgroup=agent_name,
+                        showlegend=(top_n is not None and top_n <= 10),  # Show legend for top N assistants
+                        hovertemplate='<b>Assistant: %{fullData.name}</b><br>' +
+                                     'Month: %{x}<br>' +
+                                     'Resolved Rate: %{y:.2f}%<br>' +
+                                     '<extra></extra>'
+                    ),
+                    secondary_y=False
+                )
 
         # Add bar trace for total count (right y-axis)
         # Only show bars for months where assistant has data
         x_bars = []
         y_bars = []
-        for month, count in zip(months, agent_data[total_field]):
+        total_data = agent_data.get(total_field, [])
+        for month, count in zip(months, total_data):
             if count > 0:  # Only include months with data
                 x_bars.append(month)
                 y_bars.append(count)
 
         if x_bars and y_bars:  # Only add trace if there's data
+            # For wanted type without resolved_rates, show legend on bar chart
+            show_bar_legend = (top_n is not None and top_n <= 10) and not resolved_rates
             fig.add_trace(
                 go.Bar(
                     x=x_bars,
@@ -432,7 +436,7 @@ def create_monthly_metrics_plot(type="issue", top_n=5):
                     name=agent_name,
                     marker=dict(color=color, opacity=0.6),
                     legendgroup=agent_name,
-                    showlegend=False,  # Hide duplicate legend entry (already shown in Scatter)
+                    showlegend=show_bar_legend,  # Show legend if no line chart was added
                     hovertemplate=f'<b>Assistant: %{{fullData.name}}</b><br>' +
                                  f'Month: %{{x}}<br>' +
                                  f'{total_label}: %{{y}}<br>' +
@@ -444,15 +448,25 @@ def create_monthly_metrics_plot(type="issue", top_n=5):
 
     # Update axes labels
     fig.update_xaxes(title_text=None)
-    fig.update_yaxes(
-        title_text="<b>Resolved Rate (%)</b>",
-        range=[0, 100],
-        secondary_y=False,
-        showticklabels=True,
-        tickmode='linear',
-        dtick=10,
-        showgrid=True
-    )
+
+    # For "wanted" type, there's no resolved_rates, so hide the left y-axis
+    if type == "wanted":
+        fig.update_yaxes(
+            title_text=None,
+            showticklabels=False,
+            showgrid=False,
+            secondary_y=False
+        )
+    else:
+        fig.update_yaxes(
+            title_text="<b>Resolved Rate (%)</b>",
+            range=[0, 100],
+            secondary_y=False,
+            showticklabels=True,
+            tickmode='linear',
+            dtick=10,
+            showgrid=True
+        )
     fig.update_yaxes(title_text=f"<b>{total_label}</b>", secondary_y=True)
 
     # Update layout
@@ -762,7 +776,7 @@ with gr.Blocks(title="SWE Assistant Issue & Discussion Leaderboard", theme=gr.th
                     discussion_metrics_plot = gr.Plot()
 
                 with gr.Column():
-                    gr.Markdown("*Wanted issue volume and resolved rate over time*")
+                    gr.Markdown("*Resolved wanted issues over time*")
                     wanted_metrics_plot = gr.Plot()
 
             # Load monthly metrics when app starts