# netdata python.d.plugin configuration for example
#
# This file is in YaML format. Generally the format is:
#
# name: value
#
# There are 2 sections:
#  - global variables
#  - one or more JOBS
#
# JOBS allow you to collect values from multiple sources.
# Each source will have its own set of charts.
#
# JOB parameters have to be indented (using spaces only, example below).

# ----------------------------------------------------------------------
# Global Variables
# These variables set the defaults for all JOBs, however each JOB
# may define its own, overriding the defaults.

# update_every sets the default data collection frequency.
# If unset, the python.d.plugin default is used.
# update_every: 5

# priority controls the order of charts at the netdata dashboard.
# Lower numbers move the charts towards the top of the page.
# If unset, the default for python.d.plugin is used.
# priority: 60000

# penalty indicates whether to apply penalty to update_every in case of failures.
# Penalty will increase every 5 failed updates in a row. Maximum penalty is 10 minutes.
# penalty: yes

# autodetection_retry sets the job re-check interval in seconds.
# The job is not deleted if check fails.
# Attempts to start the job are made once every autodetection_retry.
# This feature is disabled by default.
# autodetection_retry: 0

# ----------------------------------------------------------------------
# JOBS (data collection sources)

local:

  # A friendly name for this job.
  name: 'local'

  # What host to pull data from.
  host: '127.0.0.1:19999'

  # What charts to pull data for - A regex like 'system\..*|' or 'system\..*|apps.cpu|apps.mem' etc.
  charts_regex: 'system\..*'

  # Charts to exclude, useful if you would like to exclude some specific charts. 
  # Note: should be a ',' separated string like 'chart.name,chart.name'.
  charts_to_exclude: ''

  # Get ChangeFinder scores 'per_dim' or 'per_chart'.
  mode: 'per_chart'

  # Default parameters that can be passed to the changefinder library.
  cf_r: 0.5
  cf_order: 1
  cf_smooth: 15

  # The percentile above which scores will be flagged.
  cf_threshold: 99

  # The number of recent scores to use when calculating the percentile of the changefinder score.
  n_score_samples: 14400

  # Set to true if you also want to chart the percentile scores in addition to the flags.
  # Mainly useful for debugging or if you want to dive deeper on how the scores are evolving over time.
  show_scores: false