Fix icon positioning for date-based charts

Use data coordinates (xref='x', yref='y') for date axes instead of
domain coordinates. This matches the previous behavior where icons
were positioned using actual x/y values.

- Date charts: use data coordinates with sizex in milliseconds
- Log charts: continue using domain coordinates (0-1 range)

Co-authored-by: openhands <openhands@all-hands.dev>

leaderboard_transformer.py

@@ -458,34 +458,46 @@ def create_scatter_chart(
                     encoded_logo = base64.b64encode(f.read()).decode('utf-8')
                 logo_uri = f"data:image/svg+xml;base64,{encoded_logo}"
                 
-                # Convert to domain coordinates (0-1 range)
-                if x_type == "log" and x_val > 0:
-                    log_x = np.log10(x_val)
-                    domain_x = (log_x - x_range_log[0]) / (x_range_log[1] - x_range_log[0])
-                elif x_type == "date":
-                    total_range = (max_x - min_x).total_seconds() if max_x != min_x else 1
-                    domain_x = ((x_val - min_x).total_seconds() / total_range) if total_range else 0.5
+                if x_type == "date":
+                    # For date axes, use data coordinates directly
+                    layout_images.append(dict(
+                        source=logo_uri,
+                        xref="x",
+                        yref="y",
+                        x=x_val,
+                        y=y_val,
+                        sizex=15 * 24 * 60 * 60 * 1000,  # ~15 days in milliseconds
+                        sizey=3,  # score units
+                        xanchor="center",
+                        yanchor="middle",
+                        layer="above"
+                    ))
                 else:
-                    domain_x = 0.5
-                
-                domain_y = (y_val - y_range[0]) / (y_range[1] - y_range[0]) if (y_range[1] - y_range[0]) > 0 else 0.5
-                
-                # Clamp to valid range
-                domain_x = max(0, min(1, domain_x))
-                domain_y = max(0, min(1, domain_y))
-                
-                layout_images.append(dict(
-                    source=logo_uri,
-                    xref="x domain",
-                    yref="y domain",
-                    x=domain_x,
-                    y=domain_y,
-                    sizex=0.04,
-                    sizey=0.06,
-                    xanchor="center",
-                    yanchor="middle",
-                    layer="above"
-                ))
+                    # For log axes, use domain coordinates (0-1 range)
+                    if x_type == "log" and x_val > 0:
+                        log_x = np.log10(x_val)
+                        domain_x = (log_x - x_range_log[0]) / (x_range_log[1] - x_range_log[0])
+                    else:
+                        domain_x = 0.5
+                    
+                    domain_y = (y_val - y_range[0]) / (y_range[1] - y_range[0]) if (y_range[1] - y_range[0]) > 0 else 0.5
+                    
+                    # Clamp to valid range
+                    domain_x = max(0, min(1, domain_x))
+                    domain_y = max(0, min(1, domain_y))
+                    
+                    layout_images.append(dict(
+                        source=logo_uri,
+                        xref="x domain",
+                        yref="y domain",
+                        x=domain_x,
+                        y=domain_y,
+                        sizex=0.04,
+                        sizey=0.06,
+                        xanchor="center",
+                        yanchor="middle",
+                        layer="above"
+                    ))
             except Exception:
                 pass