Update model/anomaly_detector.py

model/anomaly_detector.py

@@ -15,7 +15,7 @@ model.fit(train_data)
 
 def detect_anomaly_plain_text(agent_data):
     features = extract_features(agent_data)
-    prediction = model.predict([features])[0]  # -1 is anomaly
+    prediction = model.predict([features])[0]  # -1 = anomaly
     flagged = prediction == -1
 
     reasons = []
@@ -28,6 +28,10 @@ def detect_anomaly_plain_text(agent_data):
             reasons.append("a high lead drop rate")
         if agent_data["travel_distance"] < 10:
             reasons.append("unusual travel distance")
+        
+        # 🔧 New fallback reason if no rule matches but model flags it
+        if not reasons:
+            reasons.append("an unusual behavior pattern detected by the model")
 
     reason_text = (
         f"Agent {agent_data['agent_id']} has been flagged for anomalous behavior due to "
@@ -37,3 +41,4 @@ def detect_anomaly_plain_text(agent_data):
     )
 
     return reason_text
+