removed logging

app.py

@@ -598,10 +598,7 @@ def fetch_apr_data_from_db():
         logger.info("All values are APR type (excluding zero and -100 values)")
         logger.info(f"Agents count: {global_df['agent_name'].value_counts().to_dict()}")
         
-        # Log the entire dataframe for debugging
-        logger.debug("Final DataFrame contents:")
-        for idx, row in global_df.iterrows():
-            logger.debug(f"Row {idx}: {row.to_dict()}")
+        # Debug logging disabled for HF Spaces to prevent Content-Length issues
         
         # Add this at the end, right before returning
         logger.info("Analyzing adjusted_apr data availability...")
@@ -1113,10 +1110,7 @@ def create_combined_roi_time_series_graph(df):
     logger.info(f"ROI Graph data - unique agents: {df['agent_name'].unique().tolist()}")
     logger.info(f"ROI Graph data - min ROI: {df['roi'].min()}, max ROI: {df['roi'].max()}")
     
-    # Export full dataframe to CSV for debugging
-    debug_csv = "debug_roi_data.csv"
-    df.to_csv(debug_csv)
-    logger.info(f"Exported ROI graph data to {debug_csv} for debugging")
+    # Debug CSV export disabled for HF Spaces to prevent Content-Length issues
     
     # Create Plotly figure in a clean state
     fig = go.Figure()
@@ -1628,14 +1622,9 @@ def create_time_series_graph_per_agent(df):
     return fig
 
 def write_debug_info(df, fig):
-    """Minimal debug info function"""
-    try:
-        # Just log minimal information
-        logger.debug(f"Graph created with {len(df)} data points and {len(fig.data)} traces")
-        return True
-    except Exception as e:
-        logger.error(f"Error writing debug info: {e}")
-        return False
+    """Disabled debug info function to prevent Content-Length issues"""
+    # Completely disable debug file generation for HF Spaces
+    return True
 
 def create_combined_time_series_graph(df):
     """Create a time series graph showing average APR values across all agents"""
@@ -1666,39 +1655,8 @@ def create_combined_time_series_graph(df):
     logger.info("Graph data - all positive APR values only")
     logger.info(f"Graph data - min APR: {df['apr'].min()}, max APR: {df['apr'].max()}")
     
-    # Export full dataframe to CSV for debugging
-    debug_csv = "debug_graph_data.csv"
-    df.to_csv(debug_csv)
-    logger.info(f"Exported graph data to {debug_csv} for debugging")
-    
-    # Write detailed data report
-    with open("debug_graph_data_report.txt", "w") as f:
-        f.write("==== GRAPH DATA REPORT ====\n\n")
-        f.write(f"Total data points: {len(df)}\n")
-        f.write(f"Timestamp range: {df['timestamp'].min()} to {df['timestamp'].max()}\n\n")
-        
-        # Output per-agent details
-        unique_agents = df['agent_id'].unique()
-        f.write(f"Number of agents: {len(unique_agents)}\n\n")
-        
-        for agent_id in unique_agents:
-            agent_data = df[df['agent_id'] == agent_id]
-            agent_name = agent_data['agent_name'].iloc[0]
-            
-            f.write(f"== Agent: {agent_name} (ID: {agent_id}) ==\n")
-            f.write(f"  Total data points: {len(agent_data)}\n")
-            
-            apr_data = agent_data[agent_data['metric_type'] == 'APR']
-            
-            f.write(f"  APR data points: {len(apr_data)}\n")
-            
-            if not apr_data.empty:
-                f.write(f"  APR values: {apr_data['apr'].tolist()}\n")
-                f.write(f"  APR timestamps: {[ts.strftime('%Y-%m-%d %H:%M:%S') if ts is not None else 'None' for ts in apr_data['timestamp']]}\n")
-            
-            f.write("\n")
-    
-    logger.info("Generated detailed graph data report")
+    # Debug file generation disabled for HF Spaces to prevent Content-Length issues
+    logger.debug(f"Graph data processed: {len(df)} records")
     
     # ENSURE THERE ARE NO CONFLICTING AXES OR TRACES
     # Create Plotly figure in a clean state