feat: change default visibility of agents to hidden and update y-axis range for improved clarity

app.py

@@ -700,8 +700,8 @@ def create_combined_time_series_graph(df):
             x_values = agent_data['timestamp'].tolist()
             y_values = agent_data['apr'].tolist()
             
-            # Determine if this agent should be visible by default
-            is_visible = agent_name in top_agents
+            # Change default visibility to False to hide all agent data points
+            is_visible = False
             
             # Add data points as markers for APR
             fig.add_trace(
@@ -717,7 +717,7 @@ def create_combined_time_series_graph(df):
                     ),
                     name=f'Agent: {agent_name} (APR)',
                     hovertemplate='Time: %{x}<br>APR: %{y:.2f}<br>Agent: ' + agent_name + '<extra></extra>',
-                    visible=is_visible  # Only top agents visible by default
+                    visible=is_visible  # All agents hidden by default
                 )
             )
             logger.info(f"Added APR data points for agent {agent_name} with {len(x_values)} points (visible: {is_visible})")
@@ -740,7 +740,7 @@ def create_combined_time_series_graph(df):
                         ),
                         name=f'Agent: {agent_name} (Adjusted APR)',
                         hovertemplate='Time: %{x}<br>Adjusted APR: %{y:.2f}<br>Agent: ' + agent_name + '<extra></extra>',
-                        visible=is_visible  # Only top agents visible by default
+                        visible=is_visible  # All agents hidden by default
                     )
                 )
                 logger.info(f"Added Adjusted APR data points for agent {agent_name} with {len(x_values_adj)} points (visible: {is_visible})")
@@ -810,7 +810,7 @@ def create_combined_time_series_graph(df):
     fig.update_layout(
         title="Babydegen agents",
         xaxis_title="Time",
-        yaxis_title="Value",
+        yaxis_title="Percent drawdown || Agent APR",
         template="plotly_white",
         height=700,  # Increased height
         width=1400,  # Increased width
@@ -826,29 +826,16 @@ def create_combined_time_series_graph(df):
         hovermode="closest"
     )
     
-    # Add a note about hidden agents if there are more than MAX_VISIBLE_AGENTS
-    if len(unique_agents) > MAX_VISIBLE_AGENTS:
-        fig.add_annotation(
-            text=f"Note: Only showing top {MAX_VISIBLE_AGENTS} agents by default. Toggle others in legend.",
-            xref="paper", yref="paper",
-            x=0.5, y=1.05,
-            showarrow=False,
-            font=dict(size=12, color="gray"),
-            align="center"
-        )
-    
-    # Use fixed tick spacing for clarity
-    dtick = 5  # 5-unit ticks for better readability
-    
-    # Update y-axis with autoscaling and improved appearance
+    # Update y-axis with fixed range of -50 to +100 for psychological effect
     fig.update_yaxes(
         showgrid=True, 
         gridwidth=1, 
         gridcolor='rgba(0,0,0,0.1)',
-        # No fixed range - let Plotly autoscale
-        autorange=True,  # Explicitly enable autoscaling
+        # Use fixed range instead of autoscaling
+        autorange=False,  # Disable autoscaling
+        range=[-50, 100],  # Set fixed range from -50 to +100
         tickformat=".2f",  # Format tick labels with 2 decimal places
-        tickfont=dict(size=12)  # Larger font for tick labels
+        tickfont=dict(size=16, family="Arial, sans-serif", color="black", weight="bold")  # Larger and bold font for tick labels
     )
     
     # Update x-axis with better formatting and autoscaling
@@ -860,7 +847,7 @@ def create_combined_time_series_graph(df):
         autorange=True,  # Explicitly enable autoscaling
         tickformat="%b %d, %H:%M",  # More detailed time format
         tickangle=-30,  # Angle the labels for better readability
-        tickfont=dict(size=12)  # Larger font for tick labels
+        tickfont=dict(size=16, family="Arial, sans-serif", color="black", weight="bold")  # Larger and bold font for tick labels
     )
     
     # SIMPLIFIED APPROACH: Do a direct plot without markers for comparison
@@ -1005,7 +992,7 @@ def create_combined_time_series_graph(df):
         simple_fig.update_layout(
             title="Babydegen agents",
             xaxis_title="Time",
-            yaxis_title="Value",
+            yaxis_title="Percent drawdown || Agent APR",
                     yaxis=dict(
                         # No fixed range - let Plotly autoscale
                         autorange=True,  # Explicitly enable autoscaling