AI-Powered Congestion Control Advanced

class CongestionPredictor:
    def predict_congestion(self, link_metrics, time_horizon_min=15):
        """Predict congestion probability for next N minutes"""
        features = {
            "current_utilization": link_metrics.utilization_pct,
            "utilization_trend_5m": link_metrics.util_slope_5m,
            "utilization_trend_15m": link_metrics.util_slope_15m,
            "queue_depth": link_metrics.queue_depth_pct,
            "drop_rate": link_metrics.drop_rate,
            "flow_count": link_metrics.active_flows,
            "hour_of_day": datetime.now().hour,
            "day_of_week": datetime.now().weekday()
        }
        prob = self.model.predict_proba(features)[0][1]
        if prob > 0.8:
            self.trigger_preemptive_reroute(link_metrics.link_id)
        return {"congestion_probability": prob,
                "time_horizon": time_horizon_min}