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handler.py

@@ -34,6 +34,7 @@ from fastapi.responses import JSONResponse
 from pydantic import BaseModel
 from typing import Optional, List, Dict
 import traceback
+import numpy as np
 
 # ──────────────────────────────────────────────────────────────────────── #
 # Constants & Defaults

text_features.py

@@ -43,6 +43,9 @@ class TextFeatureExtractor:
         self.coherence_model = SentenceTransformer('all-MiniLM-L6-v2')
         print("[OK] Coherence model loaded")
 
+        # Always setup patterns — busy_keywords is needed by extract_marker_counts()
+        self._setup_patterns()
+
         # Intent classification model (NEW - understands context!)
         if self.use_intent_model:
             try:
@@ -56,9 +59,6 @@ class TextFeatureExtractor:
                 print(f"[WARN] Intent classifier failed to load: {e}")
                 print("  Falling back to pattern matching")
                 self.use_intent_model = False
-                self._setup_patterns()
-        else:
-            self._setup_patterns()
 
     def _setup_patterns(self):
         """Setup pattern-based matching as fallback"""