New upstream version 1.11.0+dfsgupstream/1.11.0+dfsg

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 0 insertions, 90 deletions

diff --git a/conf.d/python.d/smartd_log.conf b/conf.d/python.d/smartd_log.conf
deleted file mode 100644
index 3fab3f1c0..000000000
--- a/conf.d/python.d/smartd_log.conf
+++ /dev/null
@@ -1,90 +0,0 @@
-# netdata python.d.plugin configuration for smartd log
-#
-# 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: 1
-
-# 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
-
-# retries sets the number of retries to be made in case of failures.
-# If unset, the default for python.d.plugin is used.
-# Attempts to restore the service are made once every update_every
-# and only if the module has collected values in the past.
-# retries: 60
-
-# 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)
-#
-# The default JOBS share the same *name*. JOBS with the same name
-# are mutually exclusive. Only one of them will be allowed running at
-# any time. This allows autodetection to try several alternatives and
-# pick the one that works.
-#
-# Any number of jobs is supported.
-#
-# All python.d.plugin JOBS (for all its modules) support a set of
-# predefined parameters. These are:
-#
-# job_name:
-#     name: myname            # the JOB's name as it will appear at the
-#                             # dashboard (by default is the job_name)
-#                             # JOBs sharing a name are mutually exclusive
-#     update_every: 1         # the JOB's data collection frequency
-#     priority: 60000         # the JOB's order on the dashboard
-#     retries: 60             # the JOB's number of restoration attempts
-#     autodetection_retry: 0  # the JOB's re-check interval in seconds
-#
-# Additionally to the above, smartd_log also supports the following:
-#
-#    log_path: '/path/to/smartdlogs'    # path to smartd log files. Default is /var/log/smartd
-#    raw_values: yes                    # enable/disable raw values charts. Enabled by default.
-#    smart_attributes: '1 2 3 4 44'     # smart attributes charts. Default are ['1', '4', '5', '7', '9', '12', '193', '194', '197', '198', '200'].
-#    exclude_disks: 'PATTERN1 PATTERN2' # space separated patterns. If the pattern is in the drive name, the module will not collect data for it.
-#
-# ----------------------------------------------------------------------
-# Additional information
-#  Plugin reads smartd log files (-A option).
-#  You need to add (man smartd) to /etc/default/smartmontools '-i 600 -A /var/log/smartd/' to pass additional options to smartd on startup
-#  Then restart smartd service and check /path/log/smartdlogs
-#  ls /var/log/smartd/
-#  CDC_WD10EZEX_00BN5A0-WD_WCC3F7FLVZS9.ata.csv  WDC_WD10EZEX_00BN5A0-WD_WCC3F7FLVZS9.ata.csv  ZDC_WD10EZEX_00BN5A0-WD_WCC3F7FLVZS9.ata.csv
-#
-# Smartd APPEND logs at every run. Its NOT RECOMMENDED to set '-i' option below 60 sec.
-# STRONGLY RECOMMENDED to create smartd conf file for logrotate
-#
-# RAW vs NORMALIZED values
-# "Normalized value", commonly referred to as just "value". This is a most universal measurement, on the scale from 0 (bad) to some maximum (good) value.
-# Maximum values are typically 100, 200 or 253. Rule of thumb is: high values are good, low values are bad.
-#
-# "Raw value" - the value of the attribute as it is tracked by the device, before any normalization takes place.
-# Some raw numbers provide valuable insight when properly interpreted. These cases will be discussed later on.
-# Raw values are typically listed in hexadecimal numbers. The raw value has different structure for different vendors and is often not meaningful as a decimal number.
-#
-# ----------------------------------------------------------------------