def _soft_delete_stale_goals(self, goal_map, matching_goals):
"""Soft delete the stale goals
:param goal_map: discovered goal map
:type goal_map: :py:class:`~.GoalMapping` instance
:param matching_goals: list of DB goals matching the goal_map
:type matching_goals: list of :py:class:`~.objects.Goal` instances
:returns: A list of soft deleted DB goals (subset of matching goals)
:rtype: list of :py:class:`~.objects.Goal` instances
"""
goal_display_name = goal_map.display_name
goal_name = goal_map.name
goal_efficacy_spec = goal_map.efficacy_specification
stale_goals = []
for matching_goal in matching_goals:
if (matching_goal.efficacy_specification == goal_efficacy_spec and
matching_goal.display_name == goal_display_name):
LOG.info(_LI("Goal %s unchanged"), goal_name)
else:
LOG.info(_LI("Goal %s modified"), goal_name)
matching_goal.soft_delete()
stale_goals.append(matching_goal)
return stale_goals
def _soft_delete_stale_goals(self, goal_map, matching_goals):
"""Soft delete the stale goals
:param goal_map: discovered goal map
:type goal_map: :py:class:`~.GoalMapping` instance
:param matching_goals: list of DB goals matching the goal_map
:type matching_goals: list of :py:class:`~.objects.Goal` instances
:returns: A list of soft deleted DB goals (subset of matching goals)
:rtype: list of :py:class:`~.objects.Goal` instances
"""
goal_display_name = goal_map.display_name
goal_name = goal_map.name
goal_efficacy_spec = goal_map.efficacy_specification
stale_goals = []
for matching_goal in matching_goals:
if (matching_goal.efficacy_specification == goal_efficacy_spec and
matching_goal.display_name == goal_display_name):
LOG.info(_LI("Goal %s unchanged"), goal_name)
else:
LOG.info(_LI("Goal %s modified"), goal_name)
matching_goal.soft_delete()
stale_goals.append(matching_goal)
return stale_goals
def execute(self):
LOG.info(_LI("Starting purge command"))
self._objects_map = self.find_objects_to_delete()
if (self.max_number is not None and
len(self._objects_map) > self.max_number):
if self.delete_up_to_max_prompt(self._objects_map):
self._objects_map = self._get_objects_up_to_limit()
else:
return
_orphans_note = (_(" (orphans excluded)") if self.exclude_orphans
else _(" (may include orphans)"))
if not self.dry_run and self.confirmation_prompt():
self.do_delete()
print(_("Purge results summary%s:") % _orphans_note)
LOG.info(_LI("Purge results summary%s:"), _orphans_note)
else:
LOG.debug(self._objects_map)
print(_("Here below is a table containing the objects "
"that can be purged%s:") % _orphans_note)
LOG.info("\n%s", self._objects_map.get_count_table())
print(self._objects_map.get_count_table())
LOG.info(_LI("Purge process completed"))
def sync(self):
self.discovered_map = self._discover()
goals_map = self.discovered_map["goals"]
strategies_map = self.discovered_map["strategies"]
scoringengines_map = self.discovered_map["scoringengines"]
for goal_name, goal_map in goals_map.items():
if goal_map in self.available_goals_map:
LOG.info(_LI("Goal %s already exists"), goal_name)
continue
self.goal_mapping.update(self._sync_goal(goal_map))
for strategy_name, strategy_map in strategies_map.items():
if (strategy_map in self.available_strategies_map and
strategy_map.goal_name not in
[g.name for g in self.goal_mapping.values()]):
LOG.info(_LI("Strategy %s already exists"), strategy_name)
continue
self.strategy_mapping.update(self._sync_strategy(strategy_map))
for se_name, se_map in scoringengines_map.items():
if se_map in self.available_scoringengines_map:
LOG.info(_LI("Scoring Engine %s already exists"),
se_name)
continue
self.se_mapping.update(self._sync_scoringengine(se_map))
self._sync_objects()
self._soft_delete_removed_scoringengines()
def main():
LOG.info(_LI('Watcher sync started.'))
service.prepare_service(sys.argv, CONF)
syncer = sync.Syncer()
syncer.sync()
LOG.info(_LI('Watcher sync finished.'))
def choose_instance_to_migrate(self, hosts):
"""Pick up an active instance instance to migrate from provided hosts
:param hosts: the array of dict which contains node object
"""
instances_tobe_migrate = []
for nodemap in hosts:
source_node = nodemap['node']
source_instances = self.compute_model.mapping.get_node_instances(
source_node)
if source_instances:
inlet_t = self.ceilometer.statistic_aggregation(
resource_id=source_node.uuid,
meter_name=self.meter_name_inlet_t,
period=self._period,
aggregate='avg')
power = self.ceilometer.statistic_aggregation(
resource_id=source_node.uuid,
meter_name=self.meter_name_power,
period=self._period,
aggregate='avg')
if (power < self.threshold_power and
inlet_t < self.threshold_inlet_t):
# hardware issue, migrate all instances from this node
for instance_id in source_instances:
try:
instance = (self.compute_model.
get_instance_by_uuid(instance_id))
instances_tobe_migrate.append(instance)
except wexc.InstanceNotFound:
LOG.error(_LE("Instance not found; error: %s"),
instance_id)
return source_node, instances_tobe_migrate
else:
# migrate the first active instance
for instance_id in source_instances:
try:
instance = (self.compute_model.
get_instance_by_uuid(instance_id))
if (instance.state !=
element.InstanceState.ACTIVE.value):
LOG.info(
_LI("Instance not active, skipped: %s"),
instance.uuid)
continue
instances_tobe_migrate.append(instance)
return source_node, instances_tobe_migrate
except wexc.InstanceNotFound:
LOG.error(_LE("Instance not found; error: %s"),
instance_id)
else:
LOG.info(_LI("Instance not found on node: %s"),
source_node.uuid)
def choose_instance_to_migrate(self, hosts):
"""Pick up an active instance instance to migrate from provided hosts
:param hosts: the array of dict which contains node object
"""
instances_tobe_migrate = []
for nodemap in hosts:
source_node = nodemap['node']
source_instances = self.compute_model.mapping.get_node_instances(
source_node)
if source_instances:
inlet_t = self.ceilometer.statistic_aggregation(
resource_id=source_node.uuid,
meter_name=self.meter_name_inlet_t,
period=self._period,
aggregate='avg')
power = self.ceilometer.statistic_aggregation(
resource_id=source_node.uuid,
meter_name=self.meter_name_power,
period=self._period,
aggregate='avg')
if (power < self.threshold_power and
inlet_t < self.threshold_inlet_t):
# hardware issue, migrate all instances from this node
for instance_id in source_instances:
try:
instance = (self.compute_model.
get_instance_from_id(instance_id))
instances_tobe_migrate.append(instance)
except wexc.InstanceNotFound:
LOG.error(_LE("Instance not found; error: %s"),
instance_id)
return source_node, instances_tobe_migrate
else:
# migrate the first active instance
for instance_id in source_instances:
try:
instance = (self.compute_model.
get_instance_from_id(instance_id))
if (instance.state !=
element.InstanceState.ACTIVE.value):
LOG.info(
_LI("Instance not active, skipped: %s"),
instance.uuid)
continue
instances_tobe_migrate.append(instance)
return source_node, instances_tobe_migrate
except wexc.InstanceNotFound:
LOG.error(_LE("Instance not found; error: %s"),
instance_id)
else:
LOG.info(_LI("Instance not found on node: %s"),
source_node.uuid)
def _soft_delete_stale_strategies(self, strategy_map, matching_strategies):
strategy_name = strategy_map.name
strategy_display_name = strategy_map.display_name
stale_strategies = []
for matching_strategy in matching_strategies:
if (matching_strategy.display_name == strategy_display_name and
matching_strategy.goal_id not in self.goal_mapping):
LOG.info(_LI("Strategy %s unchanged"), strategy_name)
else:
LOG.info(_LI("Strategy %s modified"), strategy_name)
matching_strategy.soft_delete()
stale_strategies.append(matching_strategy)
return stale_strategies
def _soft_delete_stale_strategies(self, strategy_map, matching_strategies):
strategy_name = strategy_map.name
strategy_display_name = strategy_map.display_name
stale_strategies = []
for matching_strategy in matching_strategies:
if (matching_strategy.display_name == strategy_display_name
and matching_strategy.goal_id not in self.goal_mapping):
LOG.info(_LI("Strategy %s unchanged"), strategy_name)
else:
LOG.info(_LI("Strategy %s modified"), strategy_name)
matching_strategy.soft_delete()
stale_strategies.append(matching_strategy)
return stale_strategies
def _soft_delete_stale_goals(self, goal_map, matching_goals):
goal_name = goal_map.name
goal_display_name = goal_map.display_name
stale_goals = []
for matching_goal in matching_goals:
if (matching_goal.display_name == goal_display_name and
matching_goal.strategy_id not in self.strategy_mapping):
LOG.info(_LI("Goal %s unchanged"), goal_name)
else:
LOG.info(_LI("Goal %s modified"), goal_name)
matching_goal.soft_delete()
stale_goals.append(matching_goal)
return stale_goals
def _find_orphans(self):
orphans = WatcherObjectsMap()
filters = dict(deleted=False)
audit_templates = objects.audit_template.AuditTemplate.list(
self.ctx, filters=filters)
audits = objects.audit.Audit.list(self.ctx, filters=filters)
action_plans = objects.action_plan.ActionPlan.list(
self.ctx, filters=filters)
actions = objects.action.Action.list(self.ctx, filters=filters)
audit_template_ids = set(at.id for at in audit_templates)
orphans.audits = [
audit for audit in audits
if audit.audit_template_id not in audit_template_ids]
# Objects with orphan parents are themselves orphans
audit_ids = [audit.id for audit in (a for a in audits
if a not in orphans.audits)]
orphans.action_plans = [
ap for ap in action_plans
if ap.audit_id not in audit_ids]
# Objects with orphan parents are themselves orphans
action_plan_ids = [ap.id for ap in (a for a in action_plans
if a not in orphans.action_plans)]
orphans.actions = [
action for action in actions
if action.action_plan_id not in action_plan_ids]
LOG.debug("Orphans found:\n%s", orphans)
LOG.info(_LI("Orphans found:\n%s"), orphans.get_count_table())
return orphans
def choose_vm_to_migrate(self, hosts, avg_workload, workload_cache):
"""Pick up an active vm instance to migrate from provided hosts
:param hosts: the array of dict which contains hypervisor object
:param avg_workload: the average workload value of all hypervisors
:param workload_cache: the map contains vm to workload mapping
"""
for hvmap in hosts:
source_hypervisor = hvmap['hv']
source_vms = self.model.get_mapping().get_node_vms(
source_hypervisor)
if source_vms:
delta_workload = hvmap['workload'] - avg_workload
min_delta = 1000000
instance_id = None
for vm_id in source_vms:
try:
# select the first active VM to migrate
vm = self.model.get_vm_from_id(vm_id)
if vm.state != vm_state.VMState.ACTIVE.value:
LOG.debug("VM not active; skipped: %s",
vm.uuid)
continue
current_delta = delta_workload - workload_cache[vm_id]
if 0 <= current_delta < min_delta:
min_delta = current_delta
instance_id = vm_id
except wexc.InstanceNotFound:
LOG.error(_LE("VM not found; error: %s"), vm_id)
if instance_id:
return source_hypervisor, self.model.get_vm_from_id(
instance_id)
else:
LOG.info(_LI("VM not found on hypervisor: %s"),
source_hypervisor.uuid)
def _sync_goal(self, goal_map):
goal_name = goal_map.name
goal_mapping = dict()
# Goals that are matching by name with the given discovered goal name
matching_goals = [g for g in self.available_goals
if g.name == goal_name]
stale_goals = self._soft_delete_stale_goals(goal_map, matching_goals)
if stale_goals or not matching_goals:
goal = objects.Goal(self.ctx)
goal.name = goal_name
goal.display_name = goal_map.display_name
goal.efficacy_specification = [
indicator._asdict()
for indicator in goal_map.efficacy_specification]
goal.create()
LOG.info(_LI("Goal %s created"), goal_name)
# Updating the internal states
self.available_goals_map[goal] = goal_map
# Map the old goal IDs to the new (equivalent) goal
for matching_goal in matching_goals:
goal_mapping[matching_goal.id] = goal
return goal_mapping
def _sync_strategy(self, strategy_map):
strategy_name = strategy_map.name
strategy_display_name = strategy_map.display_name
goal_name = strategy_map.goal_name
parameters_spec = strategy_map.parameters_spec
strategy_mapping = dict()
# Strategies that are matching by name with the given
# discovered strategy name
matching_strategies = [s for s in self.available_strategies
if s.name == strategy_name]
stale_strategies = self._soft_delete_stale_strategies(
strategy_map, matching_strategies)
if stale_strategies or not matching_strategies:
strategy = objects.Strategy(self.ctx)
strategy.name = strategy_name
strategy.display_name = strategy_display_name
strategy.goal_id = objects.Goal.get_by_name(self.ctx, goal_name).id
strategy.parameters_spec = parameters_spec
strategy.create()
LOG.info(_LI("Strategy %s created"), strategy_name)
# Updating the internal states
self.available_strategies_map[strategy] = strategy_map
# Map the old strategy IDs to the new (equivalent) strategy
for matching_strategy in matching_strategies:
strategy_mapping[matching_strategy.id] = strategy
return strategy_mapping
def _sync_scoringengine(self, scoringengine_map):
scoringengine_name = scoringengine_map.name
se_mapping = dict()
# Scoring Engines matching by id with discovered Scoring engine
matching_scoringengines = [se for se in self.available_scoringengines
if se.name == scoringengine_name]
stale_scoringengines = self._soft_delete_stale_scoringengines(
scoringengine_map, matching_scoringengines)
if stale_scoringengines or not matching_scoringengines:
scoringengine = objects.ScoringEngine(self.ctx)
scoringengine.name = scoringengine_name
scoringengine.description = scoringengine_map.description
scoringengine.metainfo = scoringengine_map.metainfo
scoringengine.create()
LOG.info(_LI("Scoring Engine %s created"), scoringengine_name)
# Updating the internal states
self.available_scoringengines_map[scoringengine] = \
scoringengine_map
# Map the old scoring engine names to the new (equivalent) SE
for matching_scoringengine in matching_scoringengines:
se_mapping[matching_scoringengine.name] = scoringengine
return se_mapping
def _soft_delete_removed_scoringengines(self):
removed_se = [
se for se in self.available_scoringengines
if se.name not in self.discovered_map['scoringengines']]
for se in removed_se:
LOG.info(_LI("Scoring Engine %s removed"), se.name)
se.soft_delete()
def _sync_goal(self, goal_map):
goal_name = goal_map.name
goal_mapping = dict()
# Goals that are matching by name with the given discovered goal name
matching_goals = [g for g in self.available_goals
if g.name == goal_name]
stale_goals = self._soft_delete_stale_goals(goal_map, matching_goals)
if stale_goals or not matching_goals:
goal = objects.Goal(self.ctx)
goal.name = goal_name
goal.display_name = goal_map.display_name
goal.efficacy_specification = [
indicator._asdict()
for indicator in goal_map.efficacy_specification]
goal.create()
LOG.info(_LI("Goal %s created"), goal_name)
# Updating the internal states
self.available_goals_map[goal] = goal_map
# Map the old goal IDs to the new (equivalent) goal
for matching_goal in matching_goals:
goal_mapping[matching_goal.id] = goal
return goal_mapping
def _sync_strategy(self, strategy_map):
strategy_name = strategy_map.name
strategy_display_name = strategy_map.display_name
goal_name = strategy_map.goal_name
parameters_spec = strategy_map.parameters_spec
strategy_mapping = dict()
# Strategies that are matching by name with the given
# discovered strategy name
matching_strategies = [s for s in self.available_strategies
if s.name == strategy_name]
stale_strategies = self._soft_delete_stale_strategies(
strategy_map, matching_strategies)
if stale_strategies or not matching_strategies:
strategy = objects.Strategy(self.ctx)
strategy.name = strategy_name
strategy.display_name = strategy_display_name
strategy.goal_id = objects.Goal.get_by_name(self.ctx, goal_name).id
strategy.parameters_spec = parameters_spec
strategy.create()
LOG.info(_LI("Strategy %s created"), strategy_name)
# Updating the internal states
self.available_strategies_map[strategy] = strategy_map
# Map the old strategy IDs to the new (equivalent) strategy
for matching_strategy in matching_strategies:
strategy_mapping[matching_strategy.id] = strategy
return strategy_mapping
def _soft_delete_stale_scoringengines(
self, scoringengine_map, matching_scoringengines):
se_name = scoringengine_map.name
se_description = scoringengine_map.description
se_metainfo = scoringengine_map.metainfo
stale_scoringengines = []
for matching_scoringengine in matching_scoringengines:
if (matching_scoringengine.description == se_description and
matching_scoringengine.metainfo == se_metainfo):
LOG.info(_LI("Scoring Engine %s unchanged"), se_name)
else:
LOG.info(_LI("Scoring Engine %s modified"), se_name)
matching_scoringengine.soft_delete()
stale_scoringengines.append(matching_scoringengine)
return stale_scoringengines
def main():
watcher_service.prepare_service(sys.argv)
LOG.info(_LI('Starting Watcher Applier service in PID %s'), os.getpid())
applier_service = watcher_service.Service(manager.ApplierManager)
launcher = service.launch(CONF, applier_service)
launcher.wait()
def publish_status_event(self, event, payload, request_id=None):
if self.status_topic_handler:
return self.status_topic_handler.publish_event(
event, payload, request_id)
else:
LOG.info(
_LI("No status notifier declared: notification '%s' not sent"),
event)
def pre_execute(self):
"""Pre-execution phase
This can be used to fetch some pre-requisites or data.
"""
LOG.info(_LI("Initializing Workload Balance Strategy"))
if not self.compute_model:
raise wexc.ClusterStateNotDefined()
def main():
service.prepare_service(sys.argv, CONF)
host, port = cfg.CONF.api.host, cfg.CONF.api.port
protocol = "http" if not CONF.api.enable_ssl_api else "https"
# Build and start the WSGI app
server = service.WSGIService('watcher-api', CONF.api.enable_ssl_api)
if host == '127.0.0.1':
LOG.info(_LI('serving on 127.0.0.1:%(port)s, '
'view at %(protocol)s://127.0.0.1:%(port)s') %
dict(protocol=protocol, port=port))
else:
LOG.info(_LI('serving on %(protocol)s://%(host)s:%(port)s') %
dict(protocol=protocol, host=host, port=port))
launcher = service.launch(CONF, server, workers=server.workers)
launcher.wait()
def pre_execute(self):
LOG.info(_LI("Initializing Server Consolidation"))
if not self.compute_model:
raise exception.ClusterStateNotDefined()
if len(self.compute_model.get_all_compute_nodes()) == 0:
raise exception.ClusterEmpty()
LOG.debug(self.compute_model.to_string())
def main():
service.prepare_service(sys.argv)
host, port = cfg.CONF.api.host, cfg.CONF.api.port
protocol = "http" if not CONF.api.enable_ssl_api else "https"
# Build and start the WSGI app
server = service.WSGIService(
'watcher-api', CONF.api.enable_ssl_api)
if host == '127.0.0.1':
LOG.info(_LI('serving on 127.0.0.1:%(port)s, '
'view at %(protocol)s://127.0.0.1:%(port)s') %
dict(protocol=protocol, port=port))
else:
LOG.info(_LI('serving on %(protocol)s://%(host)s:%(port)s') %
dict(protocol=protocol, host=host, port=port))
launcher = service.launch(CONF, server, workers=server.workers)
launcher.wait()
def choose_instance_to_migrate(self, hosts):
"""Pick up an active instance to migrate from provided hosts"""
for instance_data in hosts:
mig_source_node = instance_data['node']
instances_of_src = self.compute_model.get_node_instances(
mig_source_node)
for instance in instances_of_src:
try:
# select the first active instance to migrate
if (instance.state != element.InstanceState.ACTIVE.value):
LOG.info(_LI("Instance not active, skipped: %s"),
instance.uuid)
continue
return mig_source_node, instance
except wexc.InstanceNotFound as e:
LOG.exception(e)
LOG.info(_LI("Instance not found"))
return None
def info(self, ctxt, publisher_id, event_type, payload, metadata):
LOG.info(
_LI("Event '%(event)s' received from %(publisher)s "
"with metadata %(metadata)s") %
dict(event=event_type, publisher=publisher_id, metadata=metadata))
instance_uuid = payload['instance_id']
instance = self.get_or_create_instance(instance_uuid)
self.legacy_update_instance(instance, payload)
def main():
watcher_service.prepare_service(sys.argv)
LOG.info(_LI('Starting Watcher Applier service in PID %s'), os.getpid())
applier_service = watcher_service.Service(manager.ApplierManager)
# Only 1 process
launcher = watcher_service.launch(CONF, applier_service)
launcher.wait()
def _find_orphans(self):
orphans = WatcherObjectsMap()
filters = dict(deleted=False)
goals = objects.Goal.list(self.ctx, filters=filters)
strategies = objects.Strategy.list(self.ctx, filters=filters)
audit_templates = objects.AuditTemplate.list(self.ctx, filters=filters)
audits = objects.Audit.list(self.ctx, filters=filters)
action_plans = objects.ActionPlan.list(self.ctx, filters=filters)
actions = objects.Action.list(self.ctx, filters=filters)
goal_ids = set(g.id for g in goals)
orphans.strategies = [
strategy for strategy in strategies
if strategy.goal_id not in goal_ids
]
strategy_ids = [
s.id
for s in (s for s in strategies if s not in orphans.strategies)
]
orphans.audit_templates = [
audit_template for audit_template in audit_templates
if audit_template.goal_id not in goal_ids or (
audit_template.strategy_id
and audit_template.strategy_id not in strategy_ids)
]
orphans.audits = [
audit for audit in audits if audit.goal_id not in goal_ids or (
audit.strategy_id and audit.strategy_id not in strategy_ids)
]
# Objects with orphan parents are themselves orphans
audit_ids = [
audit.id for audit in audits if audit not in orphans.audits
]
orphans.action_plans = [
ap for ap in action_plans if ap.audit_id not in audit_ids
or ap.strategy_id not in strategy_ids
]
# Objects with orphan parents are themselves orphans
action_plan_ids = [
ap.id for ap in action_plans if ap not in orphans.action_plans
]
orphans.actions = [
action for action in actions
if action.action_plan_id not in action_plan_ids
]
LOG.debug("Orphans found:\n%s", orphans)
LOG.info(_LI("Orphans found:\n%s"), orphans.get_count_table())
return orphans
def pre_execute(self):
"""Pre-execution phase
This can be used to fetch some pre-requisites or data.
"""
LOG.info(_LI("Initializing Workload Balance Strategy"))
if not self.compute_model:
raise wexc.ClusterStateNotDefined()
LOG.debug(self.compute_model.to_string())
def pre_execute(self):
LOG.info(_LI("Initializing Workload Stabilization"))
if not self.compute_model:
raise exception.ClusterStateNotDefined()
self.weights = self.input_parameters.weights
self.metrics = self.input_parameters.metrics
self.thresholds = self.input_parameters.thresholds
self.host_choice = self.input_parameters.host_choice
self.instance_metrics = self.input_parameters.instance_metrics
self.retry_count = self.input_parameters.retry_count
def info(self, ctxt, publisher_id, event_type, payload, metadata):
LOG.info(
_LI("Event '%(event)s' received from %(publisher)s "
"with metadata %(metadata)s") %
dict(event=event_type, publisher=publisher_id, metadata=metadata))
node_data = payload['nova_object.data']
node_uuid = node_data['host']
try:
node = self.get_or_create_node(node_uuid)
self.update_compute_node(node, payload)
except exception.ComputeNodeNotFound as exc:
LOG.exception(exc)
def main():
watcher_service.prepare_service(sys.argv)
LOG.info(_LI('Starting Watcher Decision Engine service in PID %s'),
os.getpid())
syncer = sync.Syncer()
syncer.sync()
de_service = watcher_service.Service(manager.DecisionEngineManager)
launcher = service.launch(CONF, de_service)
launcher.wait()
def info(self, ctxt, publisher_id, event_type, payload, metadata):
LOG.info(
_LI("Event '%(event)s' received from %(publisher)s "
"with metadata %(metadata)s") %
dict(event=event_type, publisher=publisher_id, metadata=metadata))
LOG.debug(payload)
instance_data = payload['nova_object.data']
instance_uuid = instance_data['uuid']
node_uuid = instance_data.get('host')
instance = self.get_or_create_instance(instance_uuid, node_uuid)
self.update_instance(instance, payload)
def choose_vm_to_migrate(self, hosts):
"""Pick up an active vm instance to migrate from provided hosts"""
for hvmap in hosts:
mig_src_hypervisor = hvmap['hv']
vms_of_src = self.model.get_mapping().get_node_vms(
mig_src_hypervisor)
if len(vms_of_src) > 0:
for vm_id in vms_of_src:
try:
# select the first active VM to migrate
vm = self.model.get_vm_from_id(vm_id)
if vm.state != vm_state.VMState.ACTIVE.value:
LOG.info(_LI("VM not active, skipped: %s"),
vm.uuid)
continue
return mig_src_hypervisor, vm
except wexc.InstanceNotFound as e:
LOG.exception(e)
LOG.info(_LI("VM not found"))
return None
def do_execute(self):
# the migration plan will be triggered when the outlet temperature
# reaches threshold
self.threshold = self.input_parameters.threshold
LOG.debug("Initializing Outlet temperature strategy with threshold=%d",
self.threshold)
hosts_need_release, hosts_target = self.group_hosts_by_outlet_temp()
if len(hosts_need_release) == 0:
# TODO(zhenzanz): return something right if there's no hot servers
LOG.debug("No hosts require optimization")
return self.solution
if len(hosts_target) == 0:
LOG.warning(_LW("No hosts under outlet temp threshold found"))
return self.solution
# choose the server with highest outlet t
hosts_need_release = sorted(hosts_need_release,
reverse=True,
key=lambda x: (x["outlet_temp"]))
instance_to_migrate = self.choose_instance_to_migrate(
hosts_need_release)
# calculate the instance's cpu cores,memory,disk needs
if instance_to_migrate is None:
return self.solution
mig_source_node, instance_src = instance_to_migrate
dest_servers = self.filter_dest_servers(hosts_target, instance_src)
# sort the filtered result by outlet temp
# pick up the lowest one as dest server
if len(dest_servers) == 0:
# TODO(zhenzanz): maybe to warn that there's no resource
# for instance.
LOG.info(_LI("No proper target host could be found"))
return self.solution
dest_servers = sorted(dest_servers, key=lambda x: (x["outlet_temp"]))
# always use the host with lowerest outlet temperature
mig_destination_node = dest_servers[0]['node']
# generate solution to migrate the instance to the dest server,
if self.compute_model.migrate_instance(instance_src, mig_source_node,
mig_destination_node):
parameters = {
'migration_type': 'live',
'source_node': mig_source_node.uuid,
'destination_node': mig_destination_node.uuid
}
self.solution.add_action(action_type=self.MIGRATION,
resource_id=instance_src.uuid,
input_parameters=parameters)
def purge(age_in_days, max_number, goal, exclude_orphans, dry_run):
"""Removes soft deleted objects from the database
:param age_in_days: Number of days since deletion (from today)
to exclude from the purge. If None, everything will be purged.
:type age_in_days: int
:param max_number: Max number of objects expected to be deleted.
Prevents the deletion if exceeded. No limit if set to None.
:type max_number: int
:param goal: UUID or name of the goal to purge.
:type goal: str
:param exclude_orphans: Flag to indicate whether or not you want to
exclude orphans from deletion (default: False).
:type exclude_orphans: bool
:param dry_run: Flag to indicate whether or not you want to perform
a dry run (no deletion).
:type dry_run: bool
"""
try:
if max_number and max_number < 0:
raise exception.NegativeLimitError
LOG.info(_LI("[options] age_in_days = %s"), age_in_days)
LOG.info(_LI("[options] max_number = %s"), max_number)
LOG.info(_LI("[options] goal = %s"), goal)
LOG.info(_LI("[options] exclude_orphans = %s"), exclude_orphans)
LOG.info(_LI("[options] dry_run = %s"), dry_run)
uuid = PurgeCommand.get_goal_uuid(goal)
cmd = PurgeCommand(age_in_days, max_number, uuid, exclude_orphans,
dry_run)
cmd.execute()
except Exception as exc:
LOG.exception(exc)
print(exc)
sys.exit(1)
def sync(self):
self.discovered_map = self._discover()
goals_map = self.discovered_map["goals"]
strategies_map = self.discovered_map["strategies"]
for goal_name, goal_map in goals_map.items():
if goal_map in self.available_goals_map:
LOG.info(_LI("Goal %s already exists"), goal_name)
continue
self.goal_mapping.update(self._sync_goal(goal_map))
for strategy_name, strategy_map in strategies_map.items():
if (strategy_map in self.available_strategies_map and
strategy_map.goal_name not in
[g.name for g in self.goal_mapping.values()]):
LOG.info(_LI("Strategy %s already exists"), strategy_name)
continue
self.strategy_mapping.update(self._sync_strategy(strategy_map))
self._sync_audit_templates()
def purge(age_in_days, max_number, goal, exclude_orphans, dry_run):
"""Removes soft deleted objects from the database
:param age_in_days: Number of days since deletion (from today)
to exclude from the purge. If None, everything will be purged.
:type age_in_days: int
:param max_number: Max number of objects expected to be deleted.
Prevents the deletion if exceeded. No limit if set to None.
:type max_number: int
:param goal: UUID or name of the goal to purge.
:type goal: str
:param exclude_orphans: Flag to indicate whether or not you want to
exclude orphans from deletion (default: False).
:type exclude_orphans: bool
:param dry_run: Flag to indicate whether or not you want to perform
a dry run (no deletion).
:type dry_run: bool
"""
try:
if max_number and max_number < 0:
raise exception.NegativeLimitError
LOG.info(_LI("[options] age_in_days = %s"), age_in_days)
LOG.info(_LI("[options] max_number = %s"), max_number)
LOG.info(_LI("[options] goal = %s"), goal)
LOG.info(_LI("[options] exclude_orphans = %s"), exclude_orphans)
LOG.info(_LI("[options] dry_run = %s"), dry_run)
uuid = PurgeCommand.get_goal_uuid(goal)
cmd = PurgeCommand(age_in_days, max_number, uuid,
exclude_orphans, dry_run)
cmd.execute()
except Exception as exc:
LOG.exception(exc)
print(exc)
sys.exit(1)
def _sync_objects(self):
# First we find audit templates, audits and action plans that are stale
# because their associated goal or strategy has been modified and we
# update them in-memory
self._find_stale_audit_templates_due_to_goal()
self._find_stale_audit_templates_due_to_strategy()
self._find_stale_audits_due_to_goal()
self._find_stale_audits_due_to_strategy()
self._find_stale_action_plans_due_to_strategy()
self._find_stale_action_plans_due_to_audit()
# Then we handle the case where an audit template, an audit or an
# action plan becomes stale because its related goal does not
# exist anymore.
self._soft_delete_removed_goals()
# Then we handle the case where an audit template, an audit or an
# action plan becomes stale because its related strategy does not
# exist anymore.
self._soft_delete_removed_strategies()
# Finally, we save into the DB the updated stale audit templates
# and soft delete stale audits and action plans
for stale_audit_template in self.stale_audit_templates_map.values():
stale_audit_template.save()
LOG.info(_LI("Audit Template '%s' synced"),
stale_audit_template.name)
for stale_audit in self.stale_audits_map.values():
stale_audit.save()
LOG.info(_LI("Stale audit '%s' synced and cancelled"),
stale_audit.uuid)
for stale_action_plan in self.stale_action_plans_map.values():
stale_action_plan.save()
LOG.info(_LI("Stale action plan '%s' synced and cancelled"),
stale_action_plan.uuid)
def choose_instance_to_migrate(self, hosts):
"""Pick up an active instance to migrate from provided hosts"""
for instance_data in hosts:
mig_source_node = instance_data['node']
instances_of_src = self.compute_model.mapping.get_node_instances(
mig_source_node)
if len(instances_of_src) > 0:
for instance_id in instances_of_src:
try:
# select the first active instance to migrate
instance = self.compute_model.get_instance_from_id(
instance_id)
if (instance.state !=
element.InstanceState.ACTIVE.value):
LOG.info(_LI("Instance not active, skipped: %s"),
instance.uuid)
continue
return mig_source_node, instance
except wexc.InstanceNotFound as e:
LOG.exception(e)
LOG.info(_LI("Instance not found"))
return None
def do_execute(self):
# the migration plan will be triggered when the outlet temperature
# reaches threshold
self.threshold = self.input_parameters.threshold
LOG.debug("Initializing Outlet temperature strategy with threshold=%d",
self.threshold)
hosts_need_release, hosts_target = self.group_hosts_by_outlet_temp()
if len(hosts_need_release) == 0:
# TODO(zhenzanz): return something right if there's no hot servers
LOG.debug("No hosts require optimization")
return self.solution
if len(hosts_target) == 0:
LOG.warning(_LW("No hosts under outlet temp threshold found"))
return self.solution
# choose the server with highest outlet t
hosts_need_release = sorted(hosts_need_release,
reverse=True,
key=lambda x: (x["outlet_temp"]))
instance_to_migrate = self.choose_instance_to_migrate(
hosts_need_release)
# calculate the instance's cpu cores,memory,disk needs
if instance_to_migrate is None:
return self.solution
mig_source_node, instance_src = instance_to_migrate
dest_servers = self.filter_dest_servers(hosts_target, instance_src)
# sort the filtered result by outlet temp
# pick up the lowest one as dest server
if len(dest_servers) == 0:
# TODO(zhenzanz): maybe to warn that there's no resource
# for instance.
LOG.info(_LI("No proper target host could be found"))
return self.solution
dest_servers = sorted(dest_servers, key=lambda x: (x["outlet_temp"]))
# always use the host with lowerest outlet temperature
mig_destination_node = dest_servers[0]['node']
# generate solution to migrate the instance to the dest server,
if self.compute_model.mapping.migrate_instance(
instance_src, mig_source_node, mig_destination_node):
parameters = {'migration_type': 'live',
'source_node': mig_source_node.uuid,
'destination_node': mig_destination_node.uuid}
self.solution.add_action(action_type=self.MIGRATION,
resource_id=instance_src.uuid,
input_parameters=parameters)
def info(self, ctxt, publisher_id, event_type, payload, metadata):
ctxt.request_id = metadata['message_id']
ctxt.project_domain = event_type
LOG.info(
_LI("Event '%(event)s' received from %(publisher)s "
"with metadata %(metadata)s") %
dict(event=event_type, publisher=publisher_id, metadata=metadata))
LOG.debug(payload)
instance_uuid = payload['instance_id']
node_uuid = payload.get('node')
instance = self.get_or_create_instance(instance_uuid, node_uuid)
self.legacy_update_instance(instance, payload)
def _soft_delete_removed_strategies(self):
removed_strategies = [
s for s in self.available_strategies
if s.name not in self.discovered_map['strategies']]
for removed_strategy in removed_strategies:
removed_strategy.soft_delete()
filters = {"strategy_id": removed_strategy.id}
invalid_ats = objects.AuditTemplate.list(self.ctx, filters=filters)
for at in invalid_ats:
LOG.info(
_LI("Audit Template '%(audit_template)s' references a "
"strategy that does not exist"),
audit_template=at.uuid)
# In this case we can reset the strategy ID to None
# so the audit template can still achieve the same goal
# but with a different strategy
if at.id not in self.stale_audit_templates_map:
at.strategy_id = None
self.stale_audit_templates_map[at.id] = at
else:
self.stale_audit_templates_map[at.id].strategy_id = None
stale_audits = objects.Audit.list(
self.ctx, filters=filters, eager=True)
for audit in stale_audits:
LOG.warning(
_LW("Audit '%(audit)s' references a "
"strategy that does not exist"), audit=audit.uuid)
if audit.id not in self.stale_audits_map:
audit.state = objects.audit.State.CANCELLED
self.stale_audits_map[audit.id] = audit
else:
self.stale_audits_map[
audit.id].state = objects.audit.State.CANCELLED
stale_action_plans = objects.ActionPlan.list(
self.ctx, filters=filters, eager=True)
for action_plan in stale_action_plans:
LOG.warning(
_LW("Action Plan '%(action_plan)s' references a "
"strategy that does not exist"),
action_plan=action_plan.uuid)
if action_plan.id not in self.stale_action_plans_map:
action_plan.state = objects.action_plan.State.CANCELLED
self.stale_action_plans_map[action_plan.id] = action_plan
else:
self.stale_action_plans_map[
action_plan.id].state = (
objects.action_plan.State.CANCELLED)
def _find_orphans(self):
orphans = WatcherObjectsMap()
filters = dict(deleted=False)
goals = objects.Goal.list(self.ctx, filters=filters)
strategies = objects.Strategy.list(self.ctx, filters=filters)
audit_templates = objects.AuditTemplate.list(self.ctx, filters=filters)
audits = objects.Audit.list(self.ctx, filters=filters)
action_plans = objects.ActionPlan.list(self.ctx, filters=filters)
actions = objects.Action.list(self.ctx, filters=filters)
goal_ids = set(g.id for g in goals)
orphans.strategies = [
strategy for strategy in strategies
if strategy.goal_id not in goal_ids]
strategy_ids = [s.id for s in (s for s in strategies
if s not in orphans.strategies)]
orphans.audit_templates = [
audit_template for audit_template in audit_templates
if audit_template.goal_id not in goal_ids or
(audit_template.strategy_id and
audit_template.strategy_id not in strategy_ids)]
orphans.audits = [
audit for audit in audits
if audit.goal_id not in goal_ids or
(audit.strategy_id and
audit.strategy_id not in strategy_ids)]
# Objects with orphan parents are themselves orphans
audit_ids = [audit.id for audit in audits
if audit not in orphans.audits]
orphans.action_plans = [
ap for ap in action_plans
if ap.audit_id not in audit_ids]
# Objects with orphan parents are themselves orphans
action_plan_ids = [ap.id for ap in action_plans
if ap not in orphans.action_plans]
orphans.actions = [
action for action in actions
if action.action_plan_id not in action_plan_ids]
LOG.debug("Orphans found:\n%s", orphans)
LOG.info(_LI("Orphans found:\n%s"), orphans.get_count_table())
return orphans
def execute(self, original_model):
"""Execute strategy.
This strategy produces a solution resulting in more
efficient utilization of cluster resources using following
four phases:
* Offload phase - handling over-utilized resources
* Consolidation phase - handling under-utilized resources
* Solution optimization - reducing number of migrations
* Deactivation of unused hypervisors
:param original_model: root_model object
"""
LOG.info(_LI('Executing Smart Strategy'))
model = self.get_prediction_model(original_model)
rcu = self.get_relative_cluster_utilization(model)
self.ceilometer_vm_data_cache = dict()
cc = {'cpu': 1.0, 'ram': 1.0, 'disk': 1.0}
# Offloading phase
self.offload_phase(model, cc)
# Consolidation phase
self.consolidation_phase(model, cc)
# Optimize solution
self.optimize_solution(model)
# Deactivate unused hypervisors
self.deactivate_unused_hypervisors(model)
rcu_after = self.get_relative_cluster_utilization(model)
info = {
'number_of_migrations': self.number_of_migrations,
'number_of_released_hypervisors':
self.number_of_released_hypervisors,
'relative_cluster_utilization_before': str(rcu),
'relative_cluster_utilization_after': str(rcu_after)
}
LOG.debug(info)
self.solution.model = model
self.solution.efficacy = rcu_after['cpu']
return self.solution
def info(self, ctxt, publisher_id, event_type, payload, metadata):
LOG.info(
_LI("Event '%(event)s' received from %(publisher)s "
"with metadata %(metadata)s") %
dict(event=event_type, publisher=publisher_id, metadata=metadata))
instance_uuid = payload['instance_id']
instance = self.get_or_create_instance(instance_uuid)
try:
node = self.get_or_create_node(payload['host'])
except exception.ComputeNodeNotFound as exc:
LOG.exception(exc)
# If we can't create the node, we consider the instance as unmapped
node = None
self.delete_instance(instance, node)
def choose_vm_to_migrate(self, hosts):
"""pick up an active vm instance to migrate from provided hosts
:param hosts: the array of dict which contains hypervisor object
"""
vms_tobe_migrate = []
for hvmap in hosts:
source_hypervisor = hvmap['hv']
source_vms = self.model.get_mapping().get_node_vms(
source_hypervisor)
if source_vms:
inlet_t = self.ceilometer.statistic_aggregation(
resource_id=source_hypervisor.uuid,
meter_name=self.meter_name_inlet_t,
period=self._period,
aggregate='avg')
power = self.ceilometer.statistic_aggregation(
resource_id=source_hypervisor.uuid,
meter_name=self.meter_name_power,
period=self._period,
aggregate='avg')
if (power < self.threshold_power and
inlet_t < self.threshold_inlet_t):
# hardware issue, migrate all vms from this hypervisor
for vm_id in source_vms:
try:
vm = self.model.get_vm_from_id(vm_id)
vms_tobe_migrate.append(vm)
except wexc.InstanceNotFound:
LOG.error(_LE("VM not found Error: %s"), vm_id)
return source_hypervisor, vms_tobe_migrate
else:
# migrate the first active vm
for vm_id in source_vms:
try:
vm = self.model.get_vm_from_id(vm_id)
if vm.state != vm_state.VMState.ACTIVE.value:
LOG.info(_LE("VM not active, skipped: %s"),
vm.uuid)
continue
vms_tobe_migrate.append(vm)
return source_hypervisor, vms_tobe_migrate
except wexc.InstanceNotFound:
LOG.error(_LE("VM not found Error: %s"), vm_id)
else:
LOG.info(_LI("VM not found from hypervisor: %s"),
source_hypervisor.uuid)
def execute(self, original_model):
"""Execute strategy.
This strategy produces a solution resulting in more
efficient utilization of cluster resources using following
four phases:
* Offload phase - handling over-utilized resources
* Consolidation phase - handling under-utilized resources
* Solution optimization - reducing number of migrations
* Deactivation of unused hypervisors
:param original_model: root_model object
"""
LOG.info(_LI('Executing Smart Strategy'))
model = self.get_prediction_model(original_model)
rcu = self.get_relative_cluster_utilization(model)
self.ceilometer_vm_data_cache = dict()
cc = {'cpu': 1.0, 'ram': 1.0, 'disk': 1.0}
# Offloading phase
self.offload_phase(model, cc)
# Consolidation phase
self.consolidation_phase(model, cc)
# Optimize solution
self.optimize_solution(model)
# Deactivate unused hypervisors
self.deactivate_unused_hypervisors(model)
rcu_after = self.get_relative_cluster_utilization(model)
info = {
'number_of_migrations': self.number_of_migrations,
'number_of_released_hypervisors':
self.number_of_released_hypervisors,
'relative_cluster_utilization_before': str(rcu),
'relative_cluster_utilization_after': str(rcu_after)
}
LOG.debug(info)
self.solution.model = model
self.solution.efficacy = rcu_after['cpu']
return self.solution
def main():
watcher_service.prepare_service(sys.argv)
LOG.info(_LI('Starting Watcher Decision Engine service in PID %s'),
os.getpid())
syncer = sync.Syncer()
syncer.sync()
de_service = watcher_service.Service(manager.DecisionEngineManager)
bg_schedulder_service = scheduling.DecisionEngineSchedulingService()
# Only 1 process
launcher = watcher_service.launch(CONF, de_service)
launcher.launch_service(bg_schedulder_service)
launcher.wait()
def stop(self):
try:
self.rpcserver.stop()
self.rpcserver.wait()
except Exception as e:
LOG.exception(_LE('Service error occurred when stopping the '
'RPC server. Error: %s'), e)
try:
self.manager.del_host(deregister=self.deregister)
except Exception as e:
LOG.exception(_LE('Service error occurred when cleaning up '
'the RPC manager. Error: %s'), e)
super(RPCService, self).stop(graceful=True)
LOG.info(_LI('Stopped RPC server for service %(service)s on host '
'%(host)s.'),
{'service': self.topic, 'host': self.host})
def _sync_audit_templates(self):
# First we find audit templates that are stale because their associated
# goal or strategy has been modified and we update them in-memory
self._find_stale_audit_templates_due_to_goal()
self._find_stale_audit_templates_due_to_strategy()
# Then we handle the case where an audit template became
# stale because its related goal does not exist anymore.
self._soft_delete_removed_goals()
# Then we handle the case where an audit template became
# stale because its related strategy does not exist anymore.
self._soft_delete_removed_strategies()
# Finally, we save into the DB the updated stale audit templates
for stale_audit_template in self.stale_audit_templates_map.values():
stale_audit_template.save()
LOG.info(_LI("Audit Template '%s' synced"),
stale_audit_template.name)
def do_execute(self):
"""Execute strategy.
This strategy produces a solution resulting in more
efficient utilization of cluster resources using following
four phases:
* Offload phase - handling over-utilized resources
* Consolidation phase - handling under-utilized resources
* Solution optimization - reducing number of migrations
* Disability of unused nodes
:param original_model: root_model object
"""
LOG.info(_LI('Executing Smart Strategy'))
model = self.compute_model.get_latest_cluster_data_model()
rcu = self.get_relative_cluster_utilization(model)
self.ceilometer_vm_data_cache = dict()
cc = {'cpu': 1.0, 'ram': 1.0, 'disk': 1.0}
# Offloading phase
self.offload_phase(model, cc)
# Consolidation phase
self.consolidation_phase(model, cc)
# Optimize solution
self.optimize_solution(model)
# disable unused nodes
self.disable_unused_nodes(model)
rcu_after = self.get_relative_cluster_utilization(model)
info = {
'number_of_migrations': self.number_of_migrations,
'number_of_released_nodes':
self.number_of_released_nodes,
'relative_cluster_utilization_before': str(rcu),
'relative_cluster_utilization_after': str(rcu_after)
}
LOG.debug(info)
def start(self):
super(RPCService, self).start()
admin_context = context.RequestContext('admin', 'admin', is_admin=True)
target = messaging.Target(topic=self.topic, server=self.host)
endpoints = [self.manager]
serializer = objects_base.IronicObjectSerializer()
self.rpcserver = rpc.get_server(target, endpoints, serializer)
self.rpcserver.start()
self.handle_signal()
self.manager.init_host()
self.tg.add_dynamic_timer(
self.manager.periodic_tasks,
periodic_interval_max=cfg.CONF.periodic_interval,
context=admin_context)
LOG.info(_LI('Created RPC server for service %(service)s on host '
'%(host)s.'),
{'service': self.topic, 'host': self.host})
def choose_instance_to_migrate(self, hosts, avg_workload, workload_cache):
"""Pick up an active instance instance to migrate from provided hosts
:param hosts: the array of dict which contains node object
:param avg_workload: the average workload value of all nodes
:param workload_cache: the map contains instance to workload mapping
"""
for instance_data in hosts:
source_node = instance_data['node']
source_instances = self.compute_model.mapping.get_node_instances(
source_node)
if source_instances:
delta_workload = instance_data['workload'] - avg_workload
min_delta = 1000000
instance_id = None
for inst_id in source_instances:
try:
# select the first active VM to migrate
instance = self.compute_model.get_instance_from_id(
inst_id)
if (instance.state !=
element.InstanceState.ACTIVE.value):
LOG.debug("Instance not active, skipped: %s",
instance.uuid)
continue
current_delta = (
delta_workload - workload_cache[inst_id])
if 0 <= current_delta < min_delta:
min_delta = current_delta
instance_id = inst_id
except wexc.InstanceNotFound:
LOG.error(_LE("Instance not found; error: %s"),
instance_id)
if instance_id:
return (source_node,
self.compute_model.get_instance_from_id(
instance_id))
else:
LOG.info(_LI("VM not found from node: %s"),
source_node.uuid)
def execute(self, orign_model):
LOG.info(_LI("Initializing Workload Stabilization"))
current_model = orign_model
if orign_model is None:
raise exception.ClusterStateNotDefined()
migration = self.check_threshold(current_model)
if migration:
hosts_load = self.get_hosts_load(current_model)
min_sd = 1
balanced = False
for vm_host in migration:
dst_hp_disk = current_model.get_resource_from_id(
resource.ResourceType.disk).get_capacity(
current_model.get_hypervisor_from_id(vm_host['host']))
vm_disk = current_model.get_resource_from_id(
resource.ResourceType.disk).get_capacity(
current_model.get_vm_from_id(vm_host['vm']))
if vm_disk > dst_hp_disk:
continue
vm_load = self.calculate_migration_case(hosts_load,
vm_host['vm'],
vm_host['s_host'],
vm_host['host'],
current_model)
weighted_sd = self.calculate_weighted_sd(vm_load[:-1])
if weighted_sd < min_sd:
min_sd = weighted_sd
hosts_load = vm_load[-1]
self.migrate(current_model, vm_host['vm'],
vm_host['s_host'], vm_host['host'])
for metric, value in zip(self.metrics, vm_load[:-1]):
if value < float(self.thresholds[metric]):
balanced = True
break
if balanced:
break
return self.fill_solution(current_model)
def _soft_delete_removed_strategies(self):
removed_strategies = [
s for s in self.available_strategies
if s.name not in self.discovered_map['strategies']]
for removed_strategy in removed_strategies:
removed_strategy.soft_delete()
filters = {"strategy_id": removed_strategy.id}
invalid_ats = objects.AuditTemplate.list(self.ctx, filters=filters)
for at in invalid_ats:
LOG.info(
_LI("Audit Template '%(audit_template)s' references a "
"strategy that does not exist"),
audit_template=at.uuid)
# In this case we can reset the strategy ID to None
# so the audit template can still achieve the same goal
# but with a different strategy
if at.id not in self.stale_audit_templates_map:
at.strategy_id = None
self.stale_audit_templates_map[at.id] = at
else:
self.stale_audit_templates_map[at.id].strategy_id = None
def get_vm_load(self, vm_uuid):
"""Gathering vm load through ceilometer statistic.
:param vm_uuid: vm for which statistic is gathered.
:return: dict
"""
LOG.debug(_LI('get_vm_load started'))
vm_vcpus = self.model.get_resource_from_id(
resource.ResourceType.cpu_cores).get_capacity(
self.model.get_vm_from_id(vm_uuid))
vm_load = {'uuid': vm_uuid, 'vcpus': vm_vcpus}
for meter in self.metrics:
avg_meter = self.ceilometer.statistic_aggregation(
resource_id=vm_uuid,
meter_name=meter,
period="120",
aggregate='min'
)
if avg_meter is None:
raise exception.NoMetricValuesForVM(resource_id=vm_uuid,
metric_name=meter)
vm_load[meter] = avg_meter
return vm_load
