# Copyright (c) 2012 OpenStack Foundation # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. """ Track resources like memory and disk for a compute host. Provides the scheduler with useful information about availability through the ComputeNode model. """ import copy from oslo_config import cfg from oslo_log import log as logging from oslo_serialization import jsonutils from oslo_utils import importutils from nova.compute import claims from nova.compute import monitors from nova.compute import resources as ext_resources from nova.compute import task_states from nova.compute import vm_states from nova import exception from nova.i18n import _, _LI, _LW from nova import objects from nova.objects import base as obj_base from nova.pci import manager as pci_manager from nova.pci import whitelist as pci_whitelist from nova import rpc from nova.scheduler import client as scheduler_client from nova import utils from nova.virt import hardware resource_tracker_opts = [ cfg.IntOpt('reserved_host_disk_mb', default=0, help='Amount of disk in MB to reserve for the host'), cfg.IntOpt('reserved_host_memory_mb', default=512, help='Amount of memory in MB to reserve for the host'), cfg.StrOpt('compute_stats_class', default='nova.compute.stats.Stats', help='Class that will manage stats for the local compute host'), cfg.ListOpt('compute_resources', default=['vcpu'], help='The names of the extra resources to track.'), ] CONF = cfg.CONF CONF.register_opts(resource_tracker_opts) LOG = logging.getLogger(__name__) COMPUTE_RESOURCE_SEMAPHORE = "compute_resources" CONF.import_opt('my_ip', 'nova.netconf') class ResourceTracker(object): """Compute helper class for keeping track of resource usage as instances are built and destroyed. """ def __init__(self, host, driver, nodename): self.host = host self.driver = driver self.pci_tracker = None self.pci_filter = pci_whitelist.get_pci_devices_filter() self.nodename = nodename self.compute_node = None self.stats = importutils.import_object(CONF.compute_stats_class) self.tracked_instances = {} self.tracked_migrations = {} monitor_handler = monitors.MonitorHandler(self) self.monitors = monitor_handler.monitors self.ext_resources_handler = \ ext_resources.ResourceHandler(CONF.compute_resources) self.old_resources = objects.ComputeNode() self.scheduler_client = scheduler_client.SchedulerClient() @utils.synchronized(COMPUTE_RESOURCE_SEMAPHORE) def instance_claim(self, context, instance_ref, limits=None): """Indicate that some resources are needed for an upcoming compute instance build operation. This should be called before the compute node is about to perform an instance build operation that will consume additional resources. :param context: security context :param instance_ref: instance to reserve resources for. :type instance_ref: nova.objects.instance.Instance object :param limits: Dict of oversubscription limits for memory, disk, and CPUs. :returns: A Claim ticket representing the reserved resources. It can be used to revert the resource usage if an error occurs during the instance build. """ if self.disabled: # compute_driver doesn't support resource tracking, just # set the 'host' and node fields and continue the build: self._set_instance_host_and_node(context, instance_ref) return claims.NopClaim() # sanity checks: if instance_ref.host: LOG.warning(_LW("Host field should not be set on the instance " "until resources have been claimed."), instance=instance_ref) if instance_ref.node: LOG.warning(_LW("Node field should not be set on the instance " "until resources have been claimed."), instance=instance_ref) # get memory overhead required to build this instance: overhead = self.driver.estimate_instance_overhead(instance_ref) LOG.debug("Memory overhead for %(flavor)d MB instance; %(overhead)d " "MB", {'flavor': instance_ref.memory_mb, 'overhead': overhead['memory_mb']}) claim = claims.Claim(context, instance_ref, self, self.compute_node, overhead=overhead, limits=limits) # self._set_instance_host_and_node() will save instance_ref to the DB # so set instance_ref['numa_topology'] first. We need to make sure # that numa_topology is saved while under COMPUTE_RESOURCE_SEMAPHORE # so that the resource audit knows about any cpus we've pinned. instance_ref.numa_topology = claim.claimed_numa_topology self._set_instance_host_and_node(context, instance_ref) # Mark resources in-use and update stats self._update_usage_from_instance(context, instance_ref) elevated = context.elevated() # persist changes to the compute node: self._update(elevated) return claim @utils.synchronized(COMPUTE_RESOURCE_SEMAPHORE) def resize_claim(self, context, instance, instance_type, image_meta=None, limits=None): """Indicate that resources are needed for a resize operation to this compute host. :param context: security context :param instance: instance object to reserve resources for :param instance_type: new instance_type being resized to :param limits: Dict of oversubscription limits for memory, disk, and CPUs :returns: A Claim ticket representing the reserved resources. This should be turned into finalize a resource claim or free resources after the compute operation is finished. """ image_meta = image_meta or {} if self.disabled: # compute_driver doesn't support resource tracking, just # generate the migration record and continue the resize: migration = self._create_migration(context, instance, instance_type) return claims.NopClaim(migration=migration) # get memory overhead required to build this instance: overhead = self.driver.estimate_instance_overhead(instance_type) LOG.debug("Memory overhead for %(flavor)d MB instance; %(overhead)d " "MB", {'flavor': instance_type.memory_mb, 'overhead': overhead['memory_mb']}) claim = claims.MoveClaim(context, instance, instance_type, image_meta, self, self.compute_node, overhead=overhead, limits=limits) migration = self._create_migration(context, instance, instance_type) claim.migration = migration # Mark the resources in-use for the resize landing on this # compute host: self._update_usage_from_migration(context, instance, image_meta, migration) elevated = context.elevated() self._update(elevated) return claim def _create_migration(self, context, instance, instance_type): """Create a migration record for the upcoming resize. This should be done while the COMPUTE_RESOURCES_SEMAPHORE is held so the resource claim will not be lost if the audit process starts. """ migration = objects.Migration(context=context.elevated()) migration.dest_compute = self.host migration.dest_node = self.nodename migration.dest_host = self.driver.get_host_ip_addr() migration.old_instance_type_id = instance.flavor.id migration.new_instance_type_id = instance_type.id migration.status = 'pre-migrating' migration.instance_uuid = instance.uuid migration.source_compute = instance.host migration.source_node = instance.node migration.migration_type = ( migration.old_instance_type_id != migration.new_instance_type_id and 'resize' or 'migration') migration.create() return migration def _set_instance_host_and_node(self, context, instance): """Tag the instance as belonging to this host. This should be done while the COMPUTE_RESOURCES_SEMAPHORE is held so the resource claim will not be lost if the audit process starts. """ instance.host = self.host instance.launched_on = self.host instance.node = self.nodename instance.save() @utils.synchronized(COMPUTE_RESOURCE_SEMAPHORE) def abort_instance_claim(self, context, instance): """Remove usage from the given instance.""" # flag the instance as deleted to revert the resource usage # and associated stats: instance['vm_state'] = vm_states.DELETED self._update_usage_from_instance(context, instance) self._update(context.elevated()) @utils.synchronized(COMPUTE_RESOURCE_SEMAPHORE) def drop_move_claim(self, context, instance, instance_type=None, image_meta=None, prefix='new_'): """Remove usage for an incoming/outgoing migration.""" if instance['uuid'] in self.tracked_migrations: migration, itype = self.tracked_migrations.pop(instance['uuid']) if not instance_type: ctxt = context.elevated() instance_type = self._get_instance_type(ctxt, instance, prefix) if image_meta is None: image_meta = utils.get_image_from_system_metadata( instance['system_metadata']) if (instance_type is not None and instance_type.id == itype['id']): numa_topology = hardware.numa_get_constraints( itype, image_meta) usage = self._get_usage_dict( itype, numa_topology=numa_topology) if self.pci_tracker: self.pci_tracker.update_pci_for_migration(context, instance, sign=-1) self._update_usage(usage, sign=-1) ctxt = context.elevated() self._update(ctxt) @utils.synchronized(COMPUTE_RESOURCE_SEMAPHORE) def update_usage(self, context, instance): """Update the resource usage and stats after a change in an instance """ if self.disabled: return uuid = instance['uuid'] # don't update usage for this instance unless it submitted a resource # claim first: if uuid in self.tracked_instances: self._update_usage_from_instance(context, instance) self._update(context.elevated()) @property def disabled(self): return self.compute_node is None def _init_compute_node(self, context, resources): """Initialise the compute node if it does not already exist. The resource tracker will be inoperable if compute_node is not defined. The compute_node will remain undefined if we fail to create it or if there is no associated service registered. If this method has to create a compute node it needs initial values - these come from resources. :param context: security context :param resources: initial values """ # if there is already a compute node just use resources # to initialize if self.compute_node: self._copy_resources(resources) return # TODO(pmurray): this lookup should be removed when the service_id # field in the compute node goes away. At the moment it is deprecated # but still a required field, so it has to be assigned below. service = self._get_service(context) if not service: # no service record, disable resource return # now try to get the compute node record from the # database. If we get one we use resources to initialize self.compute_node = self._get_compute_node(context) if self.compute_node: self._copy_resources(resources) return # there was no local copy and none in the database # so we need to create a new compute node. This needs # to be initialised with resource values. self.compute_node = objects.ComputeNode(context) # TODO(pmurray) service_id is deprecated but is still a required field. # This should be removed when the field is changed. self.compute_node.service_id = service.id self.compute_node.host = self.host self._copy_resources(resources) self.compute_node.create() LOG.info(_LI('Compute_service record created for ' '%(host)s:%(node)s'), {'host': self.host, 'node': self.nodename}) def _copy_resources(self, resources): """Copy resource values to initialise compute_node and related data structures. """ # purge old stats and init with anything passed in by the driver self.stats.clear() self.stats.digest_stats(resources.get('stats')) # now copy rest to compute_node self.compute_node.update_from_virt_driver(resources) def _get_host_metrics(self, context, nodename): """Get the metrics from monitors and notify information to message bus. """ metrics = objects.MonitorMetricList() metrics_info = {} for monitor in self.monitors: try: monitor.add_metrics_to_list(metrics) except Exception: LOG.warning(_LW("Cannot get the metrics from %s."), monitor) # TODO(jaypipes): Remove this when compute_node.metrics doesn't need # to be populated as a JSON-ified string. metrics = metrics.to_list() if len(metrics): metrics_info['nodename'] = nodename metrics_info['metrics'] = metrics metrics_info['host'] = self.host metrics_info['host_ip'] = CONF.my_ip notifier = rpc.get_notifier(service='compute', host=nodename) notifier.info(context, 'compute.metrics.update', metrics_info) return metrics def update_available_resource(self, context): """Override in-memory calculations of compute node resource usage based on data audited from the hypervisor layer. Add in resource claims in progress to account for operations that have declared a need for resources, but not necessarily retrieved them from the hypervisor layer yet. """ LOG.info(_LI("Auditing locally available compute resources for " "node %(node)s"), {'node': self.nodename}) resources = self.driver.get_available_resource(self.nodename) if not resources: # The virt driver does not support this function LOG.info(_LI("Virt driver does not support " "'get_available_resource'. Compute tracking is disabled.")) self.compute_node = None return resources['host_ip'] = CONF.my_ip # We want the 'cpu_info' to be None from the POV of the # virt driver, but the DB requires it to be non-null so # just force it to empty string if ("cpu_info" not in resources or resources["cpu_info"] is None): resources["cpu_info"] = '' # TODO(berrange): remove this once all virt drivers are updated # to report topology if "numa_topology" not in resources: resources["numa_topology"] = None self._verify_resources(resources) self._report_hypervisor_resource_view(resources) self._update_available_resource(context, resources) @utils.synchronized(COMPUTE_RESOURCE_SEMAPHORE) def _update_available_resource(self, context, resources): # initialise the compute node object, creating it # if it does not already exist. self._init_compute_node(context, resources) # if we could not init the compute node the tracker will be # disabled and we should quit now if self.disabled: return if 'pci_passthrough_devices' in resources: devs = [] for dev in jsonutils.loads(resources.pop( 'pci_passthrough_devices')): if dev['dev_type'] == 'type-PF': continue if self.pci_filter.device_assignable(dev): devs.append(dev) if not self.pci_tracker: n_id = self.compute_node['id'] if self.compute_node else None self.pci_tracker = pci_manager.PciDevTracker(context, node_id=n_id) self.pci_tracker.set_hvdevs(devs) # Grab all instances assigned to this node: instances = objects.InstanceList.get_by_host_and_node( context, self.host, self.nodename, expected_attrs=['system_metadata', 'numa_topology']) # Now calculate usage based on instance utilization: self._update_usage_from_instances(context, instances) # Grab all in-progress migrations: migrations = objects.MigrationList.get_in_progress_by_host_and_node( context, self.host, self.nodename) # Only look at resize/migrate migration records # NOTE(danms): RT should probably examine live migration # records as well and do something smart. However, ignore # those for now to avoid them being included in below calculations. migrations = [migration for migration in migrations if migration.migration_type in ('resize', 'migrate')] self._update_usage_from_migrations(context, migrations) # Detect and account for orphaned instances that may exist on the # hypervisor, but are not in the DB: orphans = self._find_orphaned_instances() self._update_usage_from_orphans(orphans) # NOTE(yjiang5): Because pci device tracker status is not cleared in # this periodic task, and also because the resource tracker is not # notified when instances are deleted, we need remove all usages # from deleted instances. if self.pci_tracker: self.pci_tracker.clean_usage(instances, migrations, orphans) dev_pools_obj = self.pci_tracker.stats.to_device_pools_obj() self.compute_node.pci_device_pools = dev_pools_obj else: self.compute_node.pci_device_pools = objects.PciDevicePoolList() self._report_final_resource_view() metrics = self._get_host_metrics(context, self.nodename) # TODO(pmurray): metrics should not be a json string in ComputeNode, # but it is. This should be changed in ComputeNode self.compute_node.metrics = jsonutils.dumps(metrics) # update the compute_node self._update(context) LOG.info(_LI('Compute_service record updated for %(host)s:%(node)s'), {'host': self.host, 'node': self.nodename}) def _get_compute_node(self, context): """Returns compute node for the host and nodename.""" try: return objects.ComputeNode.get_by_host_and_nodename( context, self.host, self.nodename) except exception.NotFound: LOG.warning(_LW("No compute node record for %(host)s:%(node)s"), {'host': self.host, 'node': self.nodename}) def _write_ext_resources(self, resources): resources.stats = copy.deepcopy(self.stats) self.ext_resources_handler.write_resources(resources) def _get_service(self, context): try: return objects.Service.get_by_compute_host(context, self.host) except exception.NotFound: LOG.warning(_LW("No service record for host %s"), self.host) def _report_hypervisor_resource_view(self, resources): """Log the hypervisor's view of free resources. This is just a snapshot of resource usage recorded by the virt driver. The following resources are logged: - free memory - free disk - free CPUs - assignable PCI devices """ free_ram_mb = resources['memory_mb'] - resources['memory_mb_used'] free_disk_gb = resources['local_gb'] - resources['local_gb_used'] vcpus = resources['vcpus'] if vcpus: free_vcpus = vcpus - resources['vcpus_used'] LOG.debug("Hypervisor: free VCPUs: %s" % free_vcpus) else: free_vcpus = 'unknown' LOG.debug("Hypervisor: VCPU information unavailable") if ('pci_passthrough_devices' in resources and resources['pci_passthrough_devices']): LOG.debug("Hypervisor: assignable PCI devices: %s" % resources['pci_passthrough_devices']) pci_devices = resources.get('pci_passthrough_devices') LOG.debug("Hypervisor/Node resource view: " "name=%(node)s " "free_ram=%(free_ram)sMB " "free_disk=%(free_disk)sGB " "free_vcpus=%(free_vcpus)s " "pci_devices=%(pci_devices)s", {'node': self.nodename, 'free_ram': free_ram_mb, 'free_disk': free_disk_gb, 'free_vcpus': free_vcpus, 'pci_devices': pci_devices}) def _report_final_resource_view(self): """Report final calculate of physical memory, used virtual memory, disk, usable vCPUs, used virtual CPUs and PCI devices, including instance calculations and in-progress resource claims. These values will be exposed via the compute node table to the scheduler. """ vcpus = self.compute_node.vcpus if vcpus: tcpu = vcpus ucpu = self.compute_node.vcpus_used LOG.info(_LI("Total usable vcpus: %(tcpu)s, " "total allocated vcpus: %(ucpu)s"), {'tcpu': vcpus, 'ucpu': ucpu}) else: tcpu = 0 ucpu = 0 pci_stats = self.compute_node.pci_device_pools LOG.info(_LI("Final resource view: " "name=%(node)s " "phys_ram=%(phys_ram)sMB " "used_ram=%(used_ram)sMB " "phys_disk=%(phys_disk)sGB " "used_disk=%(used_disk)sGB " "total_vcpus=%(total_vcpus)s " "used_vcpus=%(used_vcpus)s " "pci_stats=%(pci_stats)s"), {'node': self.nodename, 'phys_ram': self.compute_node.memory_mb, 'used_ram': self.compute_node.memory_mb_used, 'phys_disk': self.compute_node.local_gb, 'used_disk': self.compute_node.local_gb_used, 'total_vcpus': tcpu, 'used_vcpus': ucpu, 'pci_stats': pci_stats}) def _resource_change(self): """Check to see if any resources have changed.""" if not obj_base.obj_equal_prims(self.compute_node, self.old_resources): self.old_resources = copy.deepcopy(self.compute_node) return True return False def _update(self, context): """Update partial stats locally and populate them to Scheduler.""" self._write_ext_resources(self.compute_node) if not self._resource_change(): return # Persist the stats to the Scheduler self.scheduler_client.update_resource_stats(self.compute_node) if self.pci_tracker: self.pci_tracker.save(context) def _update_usage(self, usage, sign=1): mem_usage = usage['memory_mb'] overhead = self.driver.estimate_instance_overhead(usage) mem_usage += overhead['memory_mb'] self.compute_node.memory_mb_used += sign * mem_usage self.compute_node.local_gb_used += sign * usage.get('root_gb', 0) self.compute_node.local_gb_used += sign * usage.get('ephemeral_gb', 0) # free ram and disk may be negative, depending on policy: self.compute_node.free_ram_mb = (self.compute_node.memory_mb - self.compute_node.memory_mb_used) self.compute_node.free_disk_gb = (self.compute_node.local_gb - self.compute_node.local_gb_used) self.compute_node.running_vms = self.stats.num_instances self.ext_resources_handler.update_from_instance(usage, sign) # Calculate the numa usage free = sign == -1 updated_numa_topology = hardware.get_host_numa_usage_from_instance( self.compute_node, usage, free) self.compute_node.numa_topology = updated_numa_topology def _update_usage_from_migration(self, context, instance, image_meta, migration): """Update usage for a single migration. The record may represent an incoming or outbound migration. """ uuid = migration.instance_uuid LOG.info(_LI("Updating from migration %s") % uuid) incoming = (migration.dest_compute == self.host and migration.dest_node == self.nodename) outbound = (migration.source_compute == self.host and migration.source_node == self.nodename) same_node = (incoming and outbound) record = self.tracked_instances.get(uuid, None) itype = None if same_node: # same node resize. record usage for whichever instance type the # instance is *not* in: if (instance['instance_type_id'] == migration.old_instance_type_id): itype = self._get_instance_type(context, instance, 'new_', migration.new_instance_type_id) else: # instance record already has new flavor, hold space for a # possible revert to the old instance type: itype = self._get_instance_type(context, instance, 'old_', migration.old_instance_type_id) elif incoming and not record: # instance has not yet migrated here: itype = self._get_instance_type(context, instance, 'new_', migration.new_instance_type_id) elif outbound and not record: # instance migrated, but record usage for a possible revert: itype = self._get_instance_type(context, instance, 'old_', migration.old_instance_type_id) if image_meta is None: image_meta = utils.get_image_from_system_metadata( instance['system_metadata']) if itype: host_topology = self.compute_node.get('numa_topology') if host_topology: host_topology = objects.NUMATopology.obj_from_db_obj( host_topology) numa_topology = hardware.numa_get_constraints(itype, image_meta) numa_topology = ( hardware.numa_fit_instance_to_host( host_topology, numa_topology)) usage = self._get_usage_dict( itype, numa_topology=numa_topology) if self.pci_tracker: self.pci_tracker.update_pci_for_migration(context, instance) self._update_usage(usage) if self.pci_tracker: obj = self.pci_tracker.stats.to_device_pools_obj() self.compute_node.pci_device_pools = obj else: obj = objects.PciDevicePoolList() self.compute_node.pci_device_pools = obj self.tracked_migrations[uuid] = (migration, itype) def _update_usage_from_migrations(self, context, migrations): self.tracked_migrations.clear() filtered = {} # do some defensive filtering against bad migrations records in the # database: for migration in migrations: try: instance = migration.instance except exception.InstanceNotFound as e: # migration referencing deleted instance LOG.debug('Migration instance not found: %s', e) continue uuid = instance.uuid # skip migration if instance isn't in a resize state: if not self._instance_in_resize_state(instance): LOG.warning(_LW("Instance not resizing, skipping migration."), instance_uuid=uuid) continue # filter to most recently updated migration for each instance: m = filtered.get(uuid, None) if not m or migration.updated_at >= m.updated_at: filtered[uuid] = migration for migration in filtered.values(): instance = migration.instance try: self._update_usage_from_migration(context, instance, None, migration) except exception.FlavorNotFound: LOG.warning(_LW("Flavor could not be found, skipping " "migration."), instance_uuid=uuid) continue def _update_usage_from_instance(self, context, instance): """Update usage for a single instance.""" uuid = instance['uuid'] is_new_instance = uuid not in self.tracked_instances is_deleted_instance = instance['vm_state'] == vm_states.DELETED if is_new_instance: self.tracked_instances[uuid] = obj_base.obj_to_primitive(instance) sign = 1 if is_deleted_instance: self.tracked_instances.pop(uuid) sign = -1 self.stats.update_stats_for_instance(instance) if self.pci_tracker: self.pci_tracker.update_pci_for_instance(context, instance) # if it's a new or deleted instance: if is_new_instance or is_deleted_instance: # new instance, update compute node resource usage: self._update_usage(instance, sign=sign) self.compute_node.current_workload = self.stats.calculate_workload() if self.pci_tracker: obj = self.pci_tracker.stats.to_device_pools_obj() self.compute_node.pci_device_pools = obj else: self.compute_node.pci_device_pools = objects.PciDevicePoolList() def _update_usage_from_instances(self, context, instances): """Calculate resource usage based on instance utilization. This is different than the hypervisor's view as it will account for all instances assigned to the local compute host, even if they are not currently powered on. """ self.tracked_instances.clear() # set some initial values, reserve room for host/hypervisor: self.compute_node.local_gb_used = CONF.reserved_host_disk_mb / 1024 self.compute_node.memory_mb_used = CONF.reserved_host_memory_mb self.compute_node.free_ram_mb = (self.compute_node.memory_mb - self.compute_node.memory_mb_used) self.compute_node.free_disk_gb = (self.compute_node.local_gb - self.compute_node.local_gb_used) self.compute_node.current_workload = 0 self.compute_node.running_vms = 0 # Reset values for extended resources self.ext_resources_handler.reset_resources(self.compute_node, self.driver) for instance in instances: if instance.vm_state != vm_states.DELETED: self._update_usage_from_instance(context, instance) def _find_orphaned_instances(self): """Given the set of instances and migrations already account for by resource tracker, sanity check the hypervisor to determine if there are any "orphaned" instances left hanging around. Orphans could be consuming memory and should be accounted for in usage calculations to guard against potential out of memory errors. """ uuids1 = frozenset(self.tracked_instances.keys()) uuids2 = frozenset(self.tracked_migrations.keys()) uuids = uuids1 | uuids2 usage = self.driver.get_per_instance_usage() vuuids = frozenset(usage.keys()) orphan_uuids = vuuids - uuids orphans = [usage[uuid] for uuid in orphan_uuids] return orphans def _update_usage_from_orphans(self, orphans): """Include orphaned instances in usage.""" for orphan in orphans: memory_mb = orphan['memory_mb'] LOG.warning(_LW("Detected running orphan instance: %(uuid)s " "(consuming %(memory_mb)s MB memory)"), {'uuid': orphan['uuid'], 'memory_mb': memory_mb}) # just record memory usage for the orphan usage = {'memory_mb': memory_mb} self._update_usage(usage) def _verify_resources(self, resources): resource_keys = ["vcpus", "memory_mb", "local_gb", "cpu_info", "vcpus_used", "memory_mb_used", "local_gb_used", "numa_topology"] missing_keys = [k for k in resource_keys if k not in resources] if missing_keys: reason = _("Missing keys: %s") % missing_keys raise exception.InvalidInput(reason=reason) def _instance_in_resize_state(self, instance): vm = instance['vm_state'] task = instance['task_state'] if vm == vm_states.RESIZED: return True if (vm in [vm_states.ACTIVE, vm_states.STOPPED] and task in [task_states.RESIZE_PREP, task_states.RESIZE_MIGRATING, task_states.RESIZE_MIGRATED, task_states.RESIZE_FINISH]): return True return False def _get_instance_type(self, context, instance, prefix, instance_type_id=None): """Get the instance type from instance.""" return getattr(instance, '%sflavor' % prefix) def _get_usage_dict(self, object_or_dict, **updates): """Make a usage dict _update methods expect. Accepts a dict or an Instance or Flavor object, and a set of updates. Converts the object to a dict and applies the updates. :param object_or_dict: instance or flavor as an object or just a dict :param updates: key-value pairs to update the passed object. Currently only considers 'numa_topology', all other keys are ignored. :returns: a dict with all the information from object_or_dict updated with updates """ usage = {} if isinstance(object_or_dict, objects.Instance): usage = obj_base.obj_to_primitive(object_or_dict) elif isinstance(object_or_dict, objects.Flavor): usage = obj_base.obj_to_primitive(object_or_dict) else: usage.update(object_or_dict) for key in ('numa_topology',): if key in updates: usage[key] = updates[key] return usage