Update app.py

app.py

@@ -1522,9 +1522,19 @@ def format_results_for_new_ui(analysis_output, timeline_image, safety_plan):
         else:
             risk_level = 'low'
         
-        # Extract detected patterns
+        # FIXED: Extract detected patterns properly
         patterns = []
         in_patterns_section = False
+        
+        # Define valid pattern names to filter against
+        valid_patterns = {
+            "recovery phase", "control", "gaslighting", "guilt tripping", "dismissiveness", 
+            "blame shifting", "nonabusive", "projection", "insults", 
+            "contradictory statements", "obscure language",
+            "veiled threats", "stalking language", "false concern", 
+            "false equivalence", "future faking"
+        }
+        
         for line in lines:
             if '🔍 Detected Patterns:' in line:
                 in_patterns_section = True
@@ -1539,18 +1549,35 @@ def format_results_for_new_ui(analysis_output, timeline_image, safety_plan):
                 else:
                     continue
                 
-                # Extract pattern names
-                pattern_text = line.split(':', 1)[1].strip() if ':' in line else line
-                pattern_names = [p.strip().split('(')[0] for p in pattern_text.split(',')]
+                # Extract pattern text after the severity indicator
+                if ':' in line:
+                    pattern_text = line.split(':', 1)[1].strip()
+                else:
+                    pattern_text = line[2:].strip()  # Remove emoji and space
+                
+                # Parse individual patterns from the text
+                # Handle format like "blame shifting (1x), projection (2x)"
+                pattern_parts = pattern_text.split(',')
                 
-                for pattern_name in pattern_names:
-                    if pattern_name:
+                for part in pattern_parts:
+                    # Clean up the pattern name
+                    pattern_name = part.strip()
+                    
+                    # Remove count indicators like "(1x)", "(2x)", etc.
+                    pattern_name = re.sub(r'\s*\(\d+x?\)', '', pattern_name)
+                    
+                    # Remove any remaining special characters and clean
+                    pattern_name = pattern_name.strip().lower()
+                    
+                    # Only add if it's a valid pattern name
+                    if pattern_name in valid_patterns:
                         patterns.append({
-                            'name': pattern_name.title(),
+                            'name': pattern_name.replace('_', ' ').title(),
                             'severity': severity,
                             'description': get_pattern_description(pattern_name)
                         })
             elif line.strip() and not line.startswith(('❗', '⚠️', '📝')) and in_patterns_section:
+                # Exit patterns section when we hit a non-pattern line
                 break
         
         # Generate personalized recommendations