Has anyone used the

metrics_anomaly_score

view for metrics with day_of_week seasonality? Unless I'm misreading, it seems like the code behind that view isn't applying seasonality as expected (seems to just aggregate the entire training window), which results in incorrect anomaly scores and is_anomalous bool flags (see here lines 29-33)