update

processors/bias_processor.py

@@ -121,22 +121,23 @@ The overall bias difference is {bias_results['comparative']['overall']['differen
         fig3 = make_subplots(rows=1, cols=2, subplot_titles=models)
 
         for i, model in enumerate(models):
-            # Fix: Instead of directly accessing 'frame_counts', extract counts from frame_counts data
-            # Check if the data structure has 'frame_counts' key, otherwise use 'frames' directly
-            if 'frame_counts' in bias_results[model]['framing']:
-                frame_counts = bias_results[model]['framing']['frame_counts']
+            # Improved handling of framing data
+            # First, try to get the framing_counts directly
+            if 'framing_counts' in bias_results[model]['framing']:
+                frame_counts = bias_results[model]['framing']['framing_counts']
+            # Fall back to frames if framing_counts not available
+            elif 'frames' in bias_results[model]['framing']:
+                frame_counts = bias_results[model]['framing']['frames']
+            # Last resort: create a default structure with zeros
             else:
-                # Assuming frames data is available directly in the 'framing' section
-                frame_data = bias_results[model]['framing'].get('frames', {})
-                # If not found, try to reconstruct from log data
-                if not frame_data:
-                    # Use the information from logs to construct a minimal frame counts
-                    frame_counts = {}
-                    for frame in frames:
-                        # Default to 0 or try to get count from other available sources
-                        frame_counts[frame] = bias_results[model]['framing'].get(frame, 0)
-                else:
-                    frame_counts = frame_data
+                frame_counts = {frame: 0 for frame in frames}
+                # Try to populate with any available data
+                for frame in frames:
+                    count = bias_results[model]['framing'].get(frame, 0)
+                    if count > 0:
+                        frame_counts[frame] = count
+            
+            logger.info(f"Frame counts for {model}: {frame_counts}")
 
             # Add trace for each model
             fig3.add_trace(