feat: add debug print statements for combined agent data in time series graph

app.py

@@ -434,7 +434,7 @@ def create_combined_time_series_graph(df):
         
         # Sort the data by timestamp
         agent_data = agent_data.sort_values('timestamp')
-        
+        print("agent_data_combined",agent_data)
         # Add the combined line for both APR and Performance
         fig.add_trace(
             go.Scatter(
@@ -450,6 +450,7 @@ def create_combined_time_series_graph(df):
         
         # Add scatter points for APR values
         apr_data = agent_data[agent_data['metric_type'] == 'APR']
+        print("apr_data_combined",apr_data)
         if not apr_data.empty:
             fig.add_trace(
                 go.Scatter(
@@ -466,6 +467,7 @@ def create_combined_time_series_graph(df):
         
         # Add scatter points for Performance values
         perf_data = agent_data[agent_data['metric_type'] == 'Performance']
+        print("perf_data_combined",perf_data)
         if not perf_data.empty:
             fig.add_trace(
                 go.Scatter(