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SH-Deployer/apps/SA-ITOA/bin/itsi_summary_metrics_backfi...

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# Copyright (C) 2005-2024 Splunk Inc. All Rights Reserved.
'''
Modular Input that dispatches search jobs for moving data from
itsi_summary to itsi_summary_metrics index.
'''
import sys
from splunk.clilib.bundle_paths import make_splunkhome_path
sys.path.append(make_splunkhome_path(['etc', 'apps', 'SA-ITOA', 'lib']))
sys.path.append(make_splunkhome_path(['etc', 'apps', 'SA-ITOA', 'lib', 'SA_ITOA_app_common']))
import itsi_path
from itsi_py3 import _
from ITOA.setup_logging import getLogger4ModInput
from itsi.metrics_backfill import MetricsBackfillQueue
from ITOA.itoa_common import modular_input_should_run
from SA_ITOA_app_common.solnlib.modular_input import ModularInput
class ItsiMetricsBackfillModularInput(ModularInput):
'''
Mod input that moves data from event summary index to metric index
'''
title = _('IT Service Intelligence Metrics Backfill Process Queue')
description = _('Supervises long-running backfill jobs that populate metric index from summary index.')
handlers = None
app = 'SA-ITOA'
name = 'itsi_metrics_backfill_queue'
use_single_instance = False
use_kvstore_checkpointer = False
use_hec_event_writer = False
def extra_arguments(self):
return [{
'name' : 'log_level',
'title' : _('Logging Level'),
'description' : _('This is the level at which the modular input will log data.')
},
{
'name' : 'metrics_backfill_throttle',
'title' : _('ITSI Summary Metrics Backfill Throttle'),
'description' : _('The interval, in seconds, that specifies how long the backfill modular input should '
'pause in between executing the concurrent backfill searches.')
},
{
'name' : 'metrics_backfill_length',
'title' : _('ITSI Summary Metrics Backfill Length'),
'description' : _('The length of time, in days, that specifies how far back the backfill operation '
'should run over. The more days run for the backfill, the longer the operation will '
'take.')
},
{
'name' : 'metrics_backfill_concurrent_searches',
'title' : _('ITSI Summary Metrics Backfill Concurrent Searches'),
'description' : _('The number of concurrent searches the backfill modular input should run. More '
'concurrent searches will allow the backfill to complete faster, but will likely lead'
' to a higher impact on the indexers.')
}
]
def do_run(self, input_config):
"""
- This is the method called by splunkd when mod input is enabled.
@type input_config: object
@param input_config: config passed down by splunkd
input_config is a dictionary key'ed by the name of the modular
input, its value is the modular input configuration.
"""
logger = getLogger4ModInput(input_config)
# input_config is a dictionary: Key = name of the modular input, Value = a dict of the mod_input configuration.
# To get the values, convert to a list and just return the first entry, which will be the original dict value
config_settings = list(input_config.values())[0]
if modular_input_should_run(self.session_key, logger):
MetricsBackfillQueue(self.session_key, logger).execute_backfill_queue(config_settings=config_settings)
if __name__ == '__main__':
worker = ItsiMetricsBackfillModularInput()
worker.execute()
sys.exit(0)