AlertRecord

# List recent critical alerts
critical_alerts = [
    record for record in AlertRecord.list(
        alert_rule_id=drift_alert.id,
        start_time=datetime.now() - timedelta(days=3)
    )
    if record.severity == "CRITICAL"
]

# Analyze alert details
for alert in critical_alerts:

    print(f"Alert triggered at {alert.created_at}")
    print(f"Metric value: {alert.alert_value:.3f}")
    print(f"Critical threshold: {alert.critical_threshold:.3f}")
    if alert.feature_name:

        print(f"Feature: {alert.feature_name}")

        print(f"Message: {alert.message}")
        print("—")

        # Check for alert patterns
        hourly_alerts = {}
        for alert in AlertRecord.list(alert_rule_id=perf_alert.id):

            hour = alert.created_at.hour
            hourly_alerts[hour] = hourly_alerts.get(hour, 0) + 1

            print("Alerts by hour:", hourly_alerts)

# Get recent alerts for analysis
recent_alerts = list(AlertRecord.list(
    alert_rule_id=drift_alert.id,
    start_time=datetime.now() - timedelta(days=3),
    ordering=["-created_at"]  # Newest first
))

# Analyze alert frequency
print(f"Total alerts in last 3 days: {len(recent_alerts)}")
critical_count = sum(1 for a in recent_alerts if a.severity == "CRITICAL")
print(f"Critical alerts: {critical_count}")

# Check alert patterns by feature
feature_alerts = {}
for alert in recent_alerts:

    if alert.feature_name:
        feature_alerts[alert.feature_name] = feature_alerts.get(alert.feature_name, 0) + 1

        print("Alerts by feature:", feature_alerts)

        # Analyze threshold violations
        for alert in recent_alerts[:5]:  # Latest 5 alerts

        violation_ratio = alert.alert_value / alert.critical_threshold
        print(f"Alert value: {alert.alert_value:.3f} "

        f"({violation_ratio:.1%} of threshold)")