Update visualization.py

visualization.py

@@ -16,51 +16,50 @@ def create_charts(results):
         # Attachment Styles
         attachment_data = data['attachments']
         labels = ['Secured', 'Anxious-Preoccupied', 'Dismissive-Avoidant', 'Fearful-Avoidant']
-        values = [attachment_data.get('Secured', 0), 
-                  attachment_data.get('Anxious-Preoccupied', 0), 
-                  attachment_data.get('Dismissive-Avoidant', 0), 
-                  attachment_data.get('Fearful-Avoidant', 0)]
+        values = [getattr(attachment_data, 'secured', 0), 
+                  getattr(attachment_data, 'anxious_preoccupied', 0), 
+                  getattr(attachment_data, 'dismissive_avoidant', 0), 
+                  getattr(attachment_data, 'fearful_avoidant', 0)]
         colors = ['blue', 'orange', 'green', 'red']
         
         fig = go.Figure(data=[go.Bar(x=labels, y=values, marker_color=colors)])
         fig.update_layout(title=f'{speaker_id}: Attachment Styles', yaxis_range=[0, 1])
         charts[speaker_id]['attachment'] = fig
-        explanations[speaker_id]['attachment'] = attachment_data.get('Explanation', 'No explanation provided')
+        explanations[speaker_id]['attachment'] = attachment_data.explanation
         
         # Big Five Traits
         bigfive_data = data['bigfive']
         labels = ['Extraversion', 'Agreeableness', 'Conscientiousness', 'Neuroticism', 'Openness']
-        values = [bigfive_data.get('Extraversion', 0), bigfive_data.get('Agreeableness', 0), 
-                  bigfive_data.get('Conscientiousness', 0), bigfive_data.get('Neuroticism', 0), 
-                  bigfive_data.get('Openness', 0)]
+        values = [bigfive_data.extraversion, bigfive_data.agreeableness, 
+                  bigfive_data.conscientiousness, bigfive_data.neuroticism, bigfive_data.openness]
         colors = ['blue', 'green', 'red', 'purple', 'orange']
         
         fig = go.Figure(data=[go.Bar(x=labels, y=values, marker_color=colors)])
         fig.update_layout(title=f'{speaker_id}: Big Five Traits', yaxis_range=[0, 10])
         charts[speaker_id]['bigfive'] = fig
-        explanations[speaker_id]['bigfive'] = bigfive_data.get('Explanation', 'No explanation provided')
+        explanations[speaker_id]['bigfive'] = bigfive_data.explanation
         
         # Personality Disorders
         personality_data = data['personalities']
         labels = ['Depressed', 'Paranoid', 'Schizoid-Schizotypal', 'Antisocial-Psychopathic',
                   'Borderline-Dysregulated', 'Narcissistic', 'Anxious-Avoidant', 'Dependent-Victimized', 'Obsessional']
-        values = [personality_data.get('Depressed', 0), personality_data.get('Paranoid', 0),
-                  personality_data.get('Schizoid-Schizotypal', 0), personality_data.get('Antisocial-Psychopathic', 0),
-                  personality_data.get('Borderline-Dysregulated', 0), personality_data.get('Narcissistic', 0),
-                  personality_data.get('Anxious-Avoidant', 0), personality_data.get('Dependent-Victimized', 0),
-                  personality_data.get('Obsessional', 0)]
+        values = [personality_data.depressed, personality_data.paranoid,
+                  personality_data.schizoid_schizotypal, personality_data.antisocial_psychopathic,
+                  personality_data.borderline_dysregulated, personality_data.narcissistic,
+                  personality_data.anxious_avoidant, personality_data.dependent_victimized,
+                  personality_data.obsessional]
         colors = ['gray', 'purple', 'gold', 'black', 'red', 'orange', 'green', 'cyan', 'brown']
         
         fig = go.Figure(data=[go.Bar(x=labels, y=values, marker_color=colors)])
         fig.update_layout(title=f'{speaker_id}: Personality Disorders', yaxis_range=[0, 5])
         charts[speaker_id]['personality'] = fig
-        explanations[speaker_id]['personality'] = personality_data.get('Explanation', 'No explanation provided')
+        explanations[speaker_id]['personality'] = personality_data.explanation
 
         # Attachment Dimensions (Radar Chart)
         dimensions_data = data['attachments']
         labels = ['Self', 'Others', 'Anxiety', 'Avoidance']
-        values = [dimensions_data.get('Self', 0), dimensions_data.get('Others', 0), 
-                  dimensions_data.get('Anxiety', 0), dimensions_data.get('Avoidance', 0)]
+        values = [dimensions_data.self_model, dimensions_data.others_model, 
+                  dimensions_data.anxiety, dimensions_data.avoidance]
         
         fig = go.Figure(data=go.Scatterpolar(
           r=values,