watcher.decision_engine.goal.efficacy.specs

Source code for watcher.decision_engine.goal.efficacy.specs

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# Licensed under the Apache License, Version 2.0 (the "License");
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# http://www.apache.org/licenses/LICENSE-2.0
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from watcher._i18n import _
from watcher.decision_engine.goal.efficacy import base
from watcher.decision_engine.goal.efficacy import indicators
from watcher.decision_engine.solution import efficacy


[docs]class Unclassified(base.EfficacySpecification):
[docs] def get_indicators_specifications(self): return ()
[docs] def get_global_efficacy_indicator(self, indicators_map): return None
[docs]class ServerConsolidation(base.EfficacySpecification):
[docs] def get_indicators_specifications(self): return [ indicators.ComputeNodesCount(), indicators.ReleasedComputeNodesCount(), indicators.InstanceMigrationsCount(), ]
[docs] def get_global_efficacy_indicator(self, indicators_map=None): value = 0 global_efficacy = [] if indicators_map and indicators_map.compute_nodes_count > 0: value = (float(indicators_map.released_compute_nodes_count) / float(indicators_map.compute_nodes_count)) * 100 global_efficacy.append(efficacy.Indicator( name="released_nodes_ratio", description=_("Ratio of released compute nodes divided by the " "total number of enabled compute nodes."), unit='%', value=value, )) return global_efficacy
[docs]class HardwareMaintenance(base.EfficacySpecification):
[docs] def get_indicators_specifications(self): return [ indicators.LiveInstanceMigrateCount(), indicators.PlannedLiveInstanceMigrateCount(), indicators.ColdInstanceMigrateCount(), indicators.PlannedColdInstanceMigrateCount(), indicators.VolumeMigrateCount(), indicators.PlannedVolumeMigrateCount(), indicators.VolumeUpdateCount(), indicators.PlannedVolumeUpdateCount() ]
[docs] def get_global_efficacy_indicator(self, indicators_map=None): li_value = 0 if (indicators_map and indicators_map.planned_live_migrate_instance_count > 0): li_value = ( float(indicators_map.planned_live_migrate_instance_count) / float(indicators_map.live_migrate_instance_count) * 100 ) li_indicator = efficacy.Indicator( name="live_instance_migrate_ratio", description=_("Ratio of actual live migrated instances " "to planned live migrate instances."), unit='%', value=li_value) ci_value = 0 if (indicators_map and indicators_map.planned_cold_migrate_instance_count > 0): ci_value = ( float(indicators_map.planned_cold_migrate_instance_count) / float(indicators_map.cold_migrate_instance_count) * 100 ) ci_indicator = efficacy.Indicator( name="cold_instance_migrate_ratio", description=_("Ratio of actual cold migrated instances " "to planned cold migrate instances."), unit='%', value=ci_value) dv_value = 0 if (indicators_map and indicators_map.planned_volume_migrate_count > 0): dv_value = (float(indicators_map.planned_volume_migrate_count) / float(indicators_map. volume_migrate_count) * 100) dv_indicator = efficacy.Indicator( name="volume_migrate_ratio", description=_("Ratio of actual detached volumes migrated to" " planned detached volumes migrate."), unit='%', value=dv_value) av_value = 0 if (indicators_map and indicators_map.planned_volume_update_count > 0): av_value = (float(indicators_map.planned_volume_update_count) / float(indicators_map. volume_update_count) * 100) av_indicator = efficacy.Indicator( name="volume_update_ratio", description=_("Ratio of actual attached volumes migrated to" " planned attached volumes migrate."), unit='%', value=av_value) return [li_indicator, ci_indicator, dv_indicator, av_indicator]
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