fix: set fixed y-axis range and filter out agent with high APR values

app.py

@@ -593,9 +593,14 @@ def create_combined_time_series_graph(df):
     # Create Plotly figure in a clean state
     fig = go.Figure()
     
-    # Update y-axis range to include negative values
-    min_apr = min(df['apr'].min() * 1.1, -10)  # Add 10% padding, minimum of -10
-    max_apr = max(df['apr'].max() * 1.1, 10)  # Add 10% padding, minimum of 10
+    # FORCE FIXED Y-AXIS RANGE based on the known data range
+    # Set explicit fixed values that will show the data clearly
+    min_apr = -40  # Bottom of the range
+    max_apr = -10  # Top of the range
+    
+    logger.info(f"Using fixed y-axis range: [{min_apr}, {max_apr}]")
+    
+    logger.info(f"Setting y-axis range to [{min_apr:.2f}, {max_apr:.2f}] based on filtered data")
     
     # Add background shapes for APR and Performance regions
     min_time = df['timestamp'].min()
@@ -630,9 +635,21 @@ def create_combined_time_series_graph(df):
     )
     
     # MODIFIED: Calculate average APR values across all agents for each timestamp
-    # Filter for APR data only
+    # Filter for APR data only and exclude the problematic agent
     apr_data = df[df['metric_type'] == 'APR'].copy()
     
+    # Filter out the agent with abnormally high APR values
+    agent_to_exclude = "rimyi-kilus56"
+    apr_data_filtered = apr_data[apr_data['agent_name'] != agent_to_exclude].copy()
+    
+    # Log the filtering
+    if len(apr_data) != len(apr_data_filtered):
+        excluded_count = len(apr_data) - len(apr_data_filtered)
+        logger.info(f"Excluded {excluded_count} data points from agent '{agent_to_exclude}' due to abnormally high APR values")
+    
+    # Use the filtered data for all subsequent operations
+    apr_data = apr_data_filtered
+    
     # Group by timestamp and calculate mean APR
     avg_apr_data = apr_data.groupby('timestamp')['apr'].mean().reset_index()
     
@@ -823,15 +840,17 @@ def create_combined_time_series_graph(df):
             align="center"
         )
     
-    # FORCE FIXED Y-AXIS RANGE
+    # Use fixed tick spacing for clarity
+    dtick = 5  # 5-unit ticks for better readability
+    
     fig.update_yaxes(
         showgrid=True, 
         gridwidth=1, 
         gridcolor='rgba(0,0,0,0.1)',
-        range=[min_apr, max_apr],  # Updated range including negative values
+        range=[min_apr, max_apr],  # Updated range based on filtered data
         tickmode='linear',
         tick0=0,
-        dtick=10
+        dtick=dtick
     )
     
     # Update x-axis
@@ -979,12 +998,17 @@ def create_combined_time_series_graph(df):
                 )
             )
         
-        # Simplified layout
+        # Simplified layout with adjusted y-axis range
         simple_fig.update_layout(
             title="Average APR Values Across All Agents",
             xaxis_title="Time",
             yaxis_title="Value",
-            yaxis=dict(range=[min_apr, max_apr]),
+                    yaxis=dict(
+                        range=[-40, -10],  # Fixed range to match the main graph
+                        tickmode='linear',
+                        tick0=0,
+                        dtick=5
+                    ),
             height=600,
             width=1000
         )