feat: enable auto-ranging for x-axis and y-axis in APR and ROI charts

modius_performance/visualization/apr_charts.py

@@ -101,13 +101,11 @@ class APRChart(BaseChart):
             y_range=[y_range['min'], y_range['max']]
         )
         
-        # Find last valid date for x-axis range
-        last_valid_date = avg_apr_data['timestamp'].max() if not avg_apr_data.empty else max_time
-        
+        # Use auto-range for both x-axis and y-axis to show all available data
         self._update_axes(
             fig,
-            x_range=[x_start_date, last_valid_date],
-            y_range=[y_range['min'], y_range['max']]
+            x_range=None,  # Let plotly auto-determine the best x-axis range
+            y_auto=True    # Let plotly auto-determine the best y-axis range
         )
         
         # Add region-specific annotations for positive and negative areas

modius_performance/visualization/base_chart.py

@@ -87,9 +87,9 @@ class BaseChart(ABC):
             legend=dict(
                 orientation="h",
                 yanchor="bottom",
-                y=1.02,
-                xanchor="right",
-                x=1,
+                y=1.05,
+                xanchor="center",
+                x=0.5,
                 groupclick="toggleitem",
                 font=dict(
                     family=self.config['font_family'],
@@ -98,7 +98,7 @@ class BaseChart(ABC):
                     weight="bold"
                 )
             ),
-            margin=dict(r=30, l=120, t=40, b=50),
+            margin=dict(r=30, l=120, t=80, b=60),
             hovermode="closest"
         )
         

modius_performance/visualization/roi_charts.py

@@ -111,13 +111,11 @@ class ROIChart(BaseChart):
             y_range=[y_range['min'], y_range['max']]
         )
         
-        # Find last valid date for x-axis range
-        last_valid_date = avg_roi_data['timestamp'].max() if not avg_roi_data.empty else max_time
-        
+        # Use auto-range for both x-axis and y-axis to show all available data
         self._update_axes(
             fig,
-            x_range=[x_start_date, last_valid_date],
-            y_range=[y_range['min'], y_range['max']]
+            x_range=None,  # Let plotly auto-determine the best x-axis range
+            y_auto=True    # Let plotly auto-determine the best y-axis range
         )
         
         # Save chart