schedulers:
  periodic:
    infer_every: "1m"
    fit_every: "1h"
    fit_window: "2d" # 2d-14d based on the presence of weekly seasonality in your data

models:
  prophet:
    class: "prophet"
    args:
      interval_width: 0.98
      weekly_seasonality: False  # comment it if your data has weekly seasonality
      yearly_seasonality: False

reader:
  datasource_url: "http://victoriametrics:8428/"
  sampling_period: "60s"
  queries:
    node_cpu_rate:
      expr: "sum(rate(node_cpu_seconds_total[5m])) by (mode, instance, job)"

writer:
  datasource_url: "http://victoriametrics:8428/"


monitoring:
  pull: # Enable /metrics endpoint.
    addr: "0.0.0.0"
    port: 8490