As of Nova API microversion 2.47, response of GET /servers/detail has flavor which contains a subset of the actual flavor information used to create the server instance, represented as a nested dictionary. Since current watcher nova default api version is 2.53(Pike), This patch follows the API response change. Change-Id: Ia575950f0702afa1d093f03ca8ddedd3c410b7de Closes-Bug: #1722462
371 lines
15 KiB
Python
371 lines
15 KiB
Python
# -*- encoding: utf-8 -*-
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# Copyright (c) 2017 Intel Innovation and Research Ireland Ltd.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from oslo_log import log
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from watcher.common import exception
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from watcher.common import nova_helper
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from watcher.decision_engine.model.collector import base
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from watcher.decision_engine.model import element
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from watcher.decision_engine.model import model_root
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from watcher.decision_engine.model.notification import nova
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LOG = log.getLogger(__name__)
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class NovaClusterDataModelCollector(base.BaseClusterDataModelCollector):
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"""Nova cluster data model collector
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The Nova cluster data model collector creates an in-memory
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representation of the resources exposed by the compute service.
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"""
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def __init__(self, config, osc=None):
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super(NovaClusterDataModelCollector, self).__init__(config, osc)
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@property
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def notification_endpoints(self):
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"""Associated notification endpoints
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:return: Associated notification endpoints
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:rtype: List of :py:class:`~.EventsNotificationEndpoint` instances
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"""
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return [
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nova.ServiceUpdated(self),
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nova.InstanceCreated(self),
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nova.InstanceUpdated(self),
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nova.InstanceDeletedEnd(self),
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nova.LegacyInstanceCreatedEnd(self),
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nova.LegacyInstanceUpdated(self),
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nova.LegacyInstanceDeletedEnd(self),
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nova.LegacyLiveMigratedEnd(self),
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]
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def execute(self):
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"""Build the compute cluster data model"""
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LOG.debug("Building latest Nova cluster data model")
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builder = ModelBuilder(self.osc)
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return builder.execute()
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class ModelBuilder(object):
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"""Build the graph-based model
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This model builder adds the following data"
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- Compute-related knowledge (Nova)
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- TODO(v-francoise): Storage-related knowledge (Cinder)
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- TODO(v-francoise): Network-related knowledge (Neutron)
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NOTE(v-francoise): This model builder is meant to be extended in the future
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to also include both storage and network information respectively coming
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from Cinder and Neutron. Some prelimary work has been done in this
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direction in https://review.openstack.org/#/c/362730 but since we cannot
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guarantee a sufficient level of consistency for neither the storage nor the
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network part before the end of the Ocata cycle, this work has been
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re-scheduled for Pike. In the meantime, all the associated code has been
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commented out.
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"""
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def __init__(self, osc):
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self.osc = osc
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self.model = model_root.ModelRoot()
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self.nova = osc.nova()
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self.nova_helper = nova_helper.NovaHelper(osc=self.osc)
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# self.neutron = osc.neutron()
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# self.cinder = osc.cinder()
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def _add_physical_layer(self):
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"""Add the physical layer of the graph.
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This includes components which represent actual infrastructure
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hardware.
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"""
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for cnode in self.nova_helper.get_compute_node_list():
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self.add_compute_node(cnode)
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def add_compute_node(self, node):
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# Build and add base node.
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compute_node = self.build_compute_node(node)
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self.model.add_node(compute_node)
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# NOTE(v-francoise): we can encapsulate capabilities of the node
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# (special instruction sets of CPUs) in the attributes; as well as
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# sub-nodes can be added re-presenting e.g. GPUs/Accelerators etc.
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# # Build & add disk, memory, network and cpu nodes.
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# disk_id, disk_node = self.build_disk_compute_node(base_id, node)
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# self.add_node(disk_id, disk_node)
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# mem_id, mem_node = self.build_memory_compute_node(base_id, node)
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# self.add_node(mem_id, mem_node)
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# net_id, net_node = self._build_network_compute_node(base_id)
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# self.add_node(net_id, net_node)
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# cpu_id, cpu_node = self.build_cpu_compute_node(base_id, node)
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# self.add_node(cpu_id, cpu_node)
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# # Connect the base compute node to the dependent nodes.
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# self.add_edges_from([(base_id, disk_id), (base_id, mem_id),
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# (base_id, cpu_id), (base_id, net_id)],
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# label="contains")
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def build_compute_node(self, node):
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"""Build a compute node from a Nova compute node
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:param node: A node hypervisor instance
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:type node: :py:class:`~novaclient.v2.hypervisors.Hypervisor`
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"""
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# build up the compute node.
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compute_service = self.nova_helper.get_service(node.service["id"])
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node_attributes = {
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"id": node.id,
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"uuid": compute_service.host,
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"hostname": node.hypervisor_hostname,
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"memory": node.memory_mb,
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"disk": node.free_disk_gb,
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"disk_capacity": node.local_gb,
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"vcpus": node.vcpus,
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"state": node.state,
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"status": node.status}
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compute_node = element.ComputeNode(**node_attributes)
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# compute_node = self._build_node("physical", "compute", "hypervisor",
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# node_attributes)
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return compute_node
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# def _build_network_compute_node(self, base_node):
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# attributes = {}
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# net_node = self._build_node("physical", "network", "NIC", attributes)
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# net_id = "{}_network".format(base_node)
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# return net_id, net_node
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# def build_disk_compute_node(self, base_node, compute):
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# # Build disk node attributes.
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# disk_attributes = {
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# "size_gb": compute.local_gb,
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# "used_gb": compute.local_gb_used,
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# "available_gb": compute.free_disk_gb}
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# disk_node = self._build_node("physical", "storage", "disk",
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# disk_attributes)
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# disk_id = "{}_disk".format(base_node)
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# return disk_id, disk_node
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# def build_memory_compute_node(self, base_node, compute):
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# # Build memory node attributes.
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# memory_attrs = {"size_mb": compute.memory_mb,
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# "used_mb": compute.memory_mb_used,
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# "available_mb": compute.free_ram_mb}
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# memory_node = self._build_node("physical", "memory", "memory",
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# memory_attrs)
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# memory_id = "{}_memory".format(base_node)
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# return memory_id, memory_node
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# def build_cpu_compute_node(self, base_node, compute):
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# # Build memory node attributes.
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# cpu_attributes = {"vcpus": compute.vcpus,
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# "vcpus_used": compute.vcpus_used,
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# "info": jsonutils.loads(compute.cpu_info)}
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# cpu_node = self._build_node("physical", "cpu", "cpu", cpu_attributes)
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# cpu_id = "{}_cpu".format(base_node)
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# return cpu_id, cpu_node
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# @staticmethod
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# def _build_node(layer, category, node_type, attributes):
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# return {"layer": layer, "category": category, "type": node_type,
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# "attributes": attributes}
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def _add_virtual_layer(self):
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"""Add the virtual layer to the graph.
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This layer is the virtual components of the infrastructure,
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such as vms.
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"""
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self._add_virtual_servers()
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# self._add_virtual_network()
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# self._add_virtual_storage()
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def _add_virtual_servers(self):
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all_instances = self.nova_helper.get_instance_list()
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for inst in all_instances:
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# Add Node
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instance = self._build_instance_node(inst)
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self.model.add_instance(instance)
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# Get the cnode_name uuid.
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cnode_uuid = getattr(inst, "OS-EXT-SRV-ATTR:host")
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if cnode_uuid is None:
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# The instance is not attached to any Compute node
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continue
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try:
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# Nova compute node
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# cnode = self.nova_helper.get_compute_node_by_hostname(
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# cnode_uuid)
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compute_node = self.model.get_node_by_uuid(
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cnode_uuid)
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# Connect the instance to its compute node
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self.model.map_instance(instance, compute_node)
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except exception.ComputeNodeNotFound:
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continue
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def _build_instance_node(self, instance):
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"""Build an instance node
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Create an instance node for the graph using nova and the
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`server` nova object.
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:param instance: Nova VM object.
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:return: A instance node for the graph.
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"""
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flavor = instance.flavor
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instance_attributes = {
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"uuid": instance.id,
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"human_id": instance.human_id,
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"memory": flavor["ram"],
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"disk": flavor["disk"],
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"disk_capacity": flavor["disk"],
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"vcpus": flavor["vcpus"],
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"state": getattr(instance, "OS-EXT-STS:vm_state"),
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"metadata": instance.metadata}
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# node_attributes = dict()
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# node_attributes["layer"] = "virtual"
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# node_attributes["category"] = "compute"
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# node_attributes["type"] = "compute"
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# node_attributes["attributes"] = instance_attributes
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return element.Instance(**instance_attributes)
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# def _add_virtual_storage(self):
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# try:
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# volumes = self.cinder.volumes.list()
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# except Exception:
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# return
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# for volume in volumes:
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# volume_id, volume_node = self._build_storage_node(volume)
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# self.add_node(volume_id, volume_node)
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# host = self._get_volume_host_id(volume_node)
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# self.add_edge(volume_id, host)
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# # Add connections to an instance.
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# if volume_node['attributes']['attachments']:
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# for attachment in volume_node['attributes']['attachments']:
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# self.add_edge(volume_id, attachment['server_id'],
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# label='ATTACHED_TO')
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# volume_node['attributes'].pop('attachments')
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# def _add_virtual_network(self):
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# try:
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# routers = self.neutron.list_routers()
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# except Exception:
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# return
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# for network in self.neutron.list_networks()['networks']:
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# self.add_node(*self._build_network(network))
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# for router in routers['routers']:
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# self.add_node(*self._build_router(router))
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# router_interfaces, _, compute_ports = self._group_ports()
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# for router_interface in router_interfaces:
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# interface = self._build_router_interface(router_interface)
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# router_interface_id = interface[0]
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# router_interface_node = interface[1]
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# router_id = interface[2]
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# self.add_node(router_interface_id, router_interface_node)
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# self.add_edge(router_id, router_interface_id)
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# network_id = router_interface_node['attributes']['network_id']
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# self.add_edge(router_interface_id, network_id)
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# for compute_port in compute_ports:
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# cp_id, cp_node, instance_id = self._build_compute_port_node(
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# compute_port)
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# self.add_node(cp_id, cp_node)
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# self.add_edge(cp_id, vm_id)
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# net_id = cp_node['attributes']['network_id']
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# self.add_edge(net_id, cp_id)
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# # Connect port to physical node
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# phys_net_node = "{}_network".format(cp_node['attributes']
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# ['binding:host_id'])
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# self.add_edge(cp_id, phys_net_node)
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# def _get_volume_host_id(self, volume_node):
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# host = volume_node['attributes']['os-vol-host-attr:host']
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# if host.find('@') != -1:
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# host = host.split('@')[0]
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# elif host.find('#') != -1:
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# host = host.split('#')[0]
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# return "{}_disk".format(host)
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# def _build_storage_node(self, volume_obj):
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# volume = volume_obj.__dict__
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# volume["name"] = volume["id"]
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# volume.pop("id")
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# volume.pop("manager")
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# node = self._build_node("virtual", "storage", 'volume', volume)
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# return volume["name"], node
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# def _build_compute_port_node(self, compute_port):
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# compute_port["name"] = compute_port["id"]
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# compute_port.pop("id")
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# nde_type = "{}_port".format(
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# compute_port["device_owner"].split(":")[0])
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# compute_port.pop("device_owner")
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# device_id = compute_port["device_id"]
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# compute_port.pop("device_id")
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# node = self._build_node("virtual", "network", nde_type, compute_port)
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# return compute_port["name"], node, device_id
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# def _group_ports(self):
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# router_interfaces = []
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# floating_ips = []
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# compute_ports = []
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# interface_types = ["network:router_interface",
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# 'network:router_gateway']
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# for port in self.neutron.list_ports()['ports']:
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# if port['device_owner'] in interface_types:
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# router_interfaces.append(port)
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# elif port['device_owner'].startswith('compute:'):
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# compute_ports.append(port)
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# elif port['device_owner'] == 'network:floatingip':
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# floating_ips.append(port)
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# return router_interfaces, floating_ips, compute_ports
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# def _build_router_interface(self, interface):
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# interface["name"] = interface["id"]
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# interface.pop("id")
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# node_type = interface["device_owner"].split(":")[1]
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# node = self._build_node("virtual", "network", node_type, interface)
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# return interface["name"], node, interface["device_id"]
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# def _build_router(self, router):
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# router_attrs = {"uuid": router['id'],
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# "name": router['name'],
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# "state": router['status']}
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# node = self._build_node('virtual', 'network', 'router', router_attrs)
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# return str(router['id']), node
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# def _build_network(self, network):
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# node = self._build_node('virtual', 'network', 'network', network)
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# return network['id'], node
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def execute(self):
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"""Instantiates the graph with the openstack cluster data.
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The graph is populated along 2 layers: virtual and physical. As each
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new layer is built connections are made back to previous layers.
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"""
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self._add_physical_layer()
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self._add_virtual_layer()
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return self.model
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