d433d6b3c8
In this changeset, I use https://review.openstack.org/#/c/362730/ as an example to make the existing ModelRoot fully graph-based. Change-Id: I3a1ec8674b885d75221035459233722c18972f67 Implements: blueprint graph-based-cluster-model
136 lines
4.3 KiB
Python
136 lines
4.3 KiB
Python
# -*- encoding: utf-8 -*-
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# Copyright (c) 2015 b<>com
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#
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# Authors: Jean-Emile DARTOIS <jean-emile.dartois@b-com.com>
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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
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# 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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import os
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import mock
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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 as modelroot
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class FakerModelCollector(base.BaseClusterDataModelCollector):
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def __init__(self, config=None, osc=None):
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if config is None:
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config = mock.Mock(period=777)
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super(FakerModelCollector, self).__init__(config)
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@property
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def notification_endpoints(self):
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return []
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def load_data(self, filename):
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cwd = os.path.abspath(os.path.dirname(__file__))
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data_folder = os.path.join(cwd, "data")
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with open(os.path.join(data_folder, filename), 'rb') as xml_file:
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xml_data = xml_file.read()
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return xml_data
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def load_model(self, filename):
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return modelroot.ModelRoot.from_xml(self.load_data(filename))
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def execute(self):
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return self._cluster_data_model or self.build_scenario_1()
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def build_scenario_1(self):
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instances = []
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model = modelroot.ModelRoot()
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# number of nodes
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node_count = 5
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# number max of instance per node
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node_instance_count = 7
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# total number of virtual machine
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instance_count = (node_count * node_instance_count)
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for id_ in range(0, node_count):
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node_uuid = "Node_{0}".format(id_)
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hostname = "hostname_{0}".format(id_)
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node_attributes = {
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"id": id_,
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"uuid": node_uuid,
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"hostname": hostname,
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"memory": 132,
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"disk": 250,
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"disk_capacity": 250,
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"vcpus": 40,
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}
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node = element.ComputeNode(**node_attributes)
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model.add_node(node)
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for i in range(0, instance_count):
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instance_uuid = "INSTANCE_{0}".format(i)
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instance_attributes = {
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"uuid": instance_uuid,
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"memory": 2,
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"disk": 20,
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"disk_capacity": 20,
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"vcpus": 10,
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}
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instance = element.Instance(**instance_attributes)
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instances.append(instance)
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model.add_instance(instance)
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mappings = [
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("INSTANCE_0", "Node_0"),
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("INSTANCE_1", "Node_0"),
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("INSTANCE_2", "Node_1"),
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("INSTANCE_3", "Node_2"),
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("INSTANCE_4", "Node_2"),
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("INSTANCE_5", "Node_2"),
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("INSTANCE_6", "Node_3"),
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("INSTANCE_7", "Node_4"),
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]
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for instance_uuid, node_uuid in mappings:
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model.map_instance(
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model.get_instance_by_uuid(instance_uuid),
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model.get_node_by_uuid(node_uuid),
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)
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return model
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def generate_scenario_1(self):
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return self.load_model('scenario_1.xml')
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def generate_scenario_3_with_2_nodes(self):
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return self.load_model('scenario_3_with_2_nodes.xml')
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def generate_scenario_4_with_1_node_no_instance(self):
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return self.load_model('scenario_4_with_1_node_no_instance.xml')
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def generate_scenario_5_with_instance_disk_0(self):
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return self.load_model('scenario_5_with_instance_disk_0.xml')
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def generate_scenario_6_with_2_nodes(self):
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return self.load_model('scenario_6_with_2_nodes.xml')
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def generate_scenario_7_with_2_nodes(self):
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return self.load_model('scenario_7_with_2_nodes.xml')
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def generate_scenario_8_with_4_nodes(self):
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return self.load_model('scenario_8_with_4_nodes.xml')
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def generate_scenario_9_with_3_active_plus_1_disabled_nodes(self):
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return self.load_model(
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'scenario_9_with_3_active_plus_1_disabled_nodes.xml')
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