Hey all! I'd love some support, I'm migrating from another testing package to Elementary so I just want to re-check my config as it doesn't seem to be behaving. I have a

agg_metrics

table that has a date dimension

event_date_dt

, I want to set up anomaly detection on all columns in this table. This is my config:

models:
  - name: agg_metrics
    config:
        elementary:
            timestamp_column: event_date_dt
            time_bucket:
                period: day # supported periods: day, week, month
                count: 1
            anomaly_sensitivity: 2.2
            anomaly_direction: both
            training_period:
                period: day # supported periods: day, week, month
                count: 90
            detection_period:
                period: day # supported periods: day, week, month
                count: 30
            seasonality: day_of_week
    tests:
      - elementary.all_columns_anomalies: 
            column_anomalies:
                - standard_deviation
                - variance
                - zero_count
                - zero_percent

This is the command I'm running locally (windows):

dbt run -m agg_metrics && dbt test -m agg_metrics && edr report --profiles-dir . --profile-target dev

My report doesn't seem to calculate

standard_deviation

or

variance

, and the training period is 338 days. Any ideas on what I'm doing wrong?

Hey! As we talked over DM - the seasonality multiplies the training period to create enough data, as seen here. It seems that there's a bug with these two monitors, we're looking into it 🙌