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| # anomaly_score.py | |
| import datetime | |
| class AnomalyScorer: | |
| def __init__(self): | |
| self.history = [] | |
| def score_event(self, event_type: str, data: dict) -> dict: | |
| base_score = { | |
| "unauthorized_access": 80, | |
| "unexpected_output": 50, | |
| "module_instability": 60, | |
| "unknown_connection": 90, | |
| "philosophical_dissonance": 40, | |
| }.get(event_type, 10) | |
| # Increase score if suspicious data is present | |
| if data.get("confidence") and data["confidence"] < 0.4: | |
| base_score += 20 | |
| if "kill" in data.get("content", "").lower(): | |
| base_score += 50 | |
| result = { | |
| "timestamp": datetime.datetime.utcnow().isoformat(), | |
| "event": event_type, | |
| "score": min(base_score, 100), | |
| "notes": f"Scored anomaly: {event_type}" | |
| } | |
| self.history.append(result) | |
| return result | |
| def get_history(self): | |
| return self.history |