332 lines
15 KiB
Python
332 lines
15 KiB
Python
# Copyright 2012 Canonical Ltd.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# 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, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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from ceilometerclient.v2 import alarms
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from ceilometerclient.v2 import meters
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from ceilometerclient.v2 import resources
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from ceilometerclient.v2 import samples
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from ceilometerclient.v2 import statistics
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from keystoneclient.v2_0 import tenants
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from keystoneclient.v2_0 import users
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from openstack_dashboard.api import ceilometer
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from openstack_dashboard.test.test_data import utils
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def data(TEST):
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TEST.ceilometer_users = utils.TestDataContainer()
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TEST.ceilometer_tenants = utils.TestDataContainer()
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TEST.resources = utils.TestDataContainer()
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TEST.api_resources = utils.TestDataContainer()
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TEST.samples = utils.TestDataContainer()
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TEST.meters = utils.TestDataContainer()
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TEST.alarms = utils.TestDataContainer()
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TEST.statistics = utils.TestDataContainer()
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TEST.global_disk_usages = utils.TestDataContainer()
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TEST.global_network_usages = utils.TestDataContainer()
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TEST.global_network_traffic_usages = utils.TestDataContainer()
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TEST.global_object_store_usages = utils.TestDataContainer()
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TEST.statistics_array = utils.TestDataContainer()
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# users
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ceilometer_user_dict1 = {'id': "1",
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'name': 'user',
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'email': 'test@example.com',
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'password': 'password',
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'token': 'test_token',
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'project_id': '1',
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'enabled': True,
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'domain_id': "1"}
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ceilometer_user_dict2 = {'id': "2",
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'name': 'user2',
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'email': 'test2@example.com',
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'password': 'password',
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'token': 'test_token',
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'project_id': '2',
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'enabled': True,
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'domain_id': "2"}
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TEST.ceilometer_users.add(users.User(None,
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ceilometer_user_dict1))
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TEST.ceilometer_users.add(users.User(None,
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ceilometer_user_dict2))
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# Tenants.
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tenant_dict = {'id': "1",
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'name': 'test_tenant',
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'description': "a test tenant.",
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'enabled': True,
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'domain_id': '1'}
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tenant_dict_2 = {'id': "2",
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'name': 'disabled_tenant',
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'description': "a disabled test tenant.",
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'enabled': False,
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'domain_id': '2'}
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tenant_dict_3 = {'id': "3",
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'name': u'\u4e91\u89c4\u5219',
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'description': "an unicode-named tenant.",
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'enabled': True,
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'domain_id': '2'}
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ceilometer_tenant = tenants.Tenant(tenants.TenantManager,
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tenant_dict)
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ceilometer_disabled_tenant = tenants.Tenant(tenants.TenantManager,
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tenant_dict_2)
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ceilometer_tenant_unicode = tenants.Tenant(tenants.TenantManager,
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tenant_dict_3)
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TEST.ceilometer_tenants.add(ceilometer_tenant,
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ceilometer_disabled_tenant,
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ceilometer_tenant_unicode)
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# resources
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resource_dict_1 = dict(
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resource_id='fake_resource_id',
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project_id='fake_project_id',
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user_id="fake_user_id",
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timestamp='2012-07-02T10:42:00.000000',
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metadata={'tag': 'self.counter3', 'display_name': 'test-server'},
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links=[{'url': 'test_url', 'rel': 'storage.objects'}],
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)
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resource_dict_2 = dict(
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resource_id='fake_resource_id2',
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project_id='fake_project_id',
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user_id="fake_user_id",
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timestamp='2012-07-02T10:42:00.000000',
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metadata={'tag': 'self.counter3', 'display_name': 'test-server'},
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links=[{'url': 'test_url', 'rel': 'storage.objects'}],
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)
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resource_dict_3 = dict(
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resource_id='fake_resource_id3',
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project_id='fake_project_id',
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user_id="fake_user_id",
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timestamp='2012-07-02T10:42:00.000000',
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metadata={'tag': 'self.counter3', 'display_name': 'test-server'},
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links=[{'url': 'test_url', 'rel': 'instance'}],
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)
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resource_dict_4 = dict(
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resource_id='fake_resource_id3',
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project_id='fake_project_id',
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user_id="fake_user_id",
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timestamp='2012-07-02T10:42:00.000000',
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metadata={'tag': 'self.counter3', 'display_name': 'test-server'},
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links=[{'url': 'test_url', 'rel': 'memory'}],
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)
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resource_1 = resources.Resource(resources.ResourceManager(None),
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resource_dict_1)
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resource_2 = resources.Resource(resources.ResourceManager(None),
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resource_dict_2)
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resource_3 = resources.Resource(resources.ResourceManager(None),
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resource_dict_3)
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resource_4 = resources.Resource(resources.ResourceManager(None),
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resource_dict_4)
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TEST.resources.add(resource_1)
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TEST.resources.add(resource_2)
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TEST.resources.add(resource_3)
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# Having a separate set of fake objects for openstack_dashboard
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# api Resource class. This is required because of additional methods
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# defined in openstack_dashboard.api.ceilometer.Resource
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api_resource_1 = ceilometer.Resource(resource_1)
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api_resource_2 = ceilometer.Resource(resource_2)
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api_resource_3 = ceilometer.Resource(resource_3)
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api_resource_4 = ceilometer.Resource(resource_4)
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TEST.api_resources.add(api_resource_1)
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TEST.api_resources.add(api_resource_2)
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TEST.api_resources.add(api_resource_3)
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TEST.api_resources.add(api_resource_4)
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# samples
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sample_dict_1 = {'resource_id': 'fake_resource_id',
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'project_id': 'fake_project_id',
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'user_id': 'fake_user_id',
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'counter_name': 'image',
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'counter_type': 'gauge',
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'counter_unit': 'image',
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'counter_volume': 1,
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'timestamp': '2012-12-21T11:00:55.000000',
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'metadata': {'name1': 'value1', 'name2': 'value2'},
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'message_id': 'fake_message_id'}
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sample_dict_2 = {'resource_id': 'fake_resource_id2',
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'project_id': 'fake_project_id',
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'user_id': 'fake_user_id',
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'counter_name': 'image',
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'counter_type': 'gauge',
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'counter_unit': 'image',
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'counter_volume': 1,
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'timestamp': '2012-12-21T11:00:55.000000',
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'metadata': {'name1': 'value1', 'name2': 'value2'},
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'message_id': 'fake_message_id'}
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sample_1 = samples.Sample(samples.SampleManager(None), sample_dict_1)
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sample_2 = samples.Sample(samples.SampleManager(None), sample_dict_2)
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TEST.samples.add(sample_1)
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TEST.samples.add(sample_2)
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# alarms
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alarm_dict_1 = {'alarm_actions': ['alarm_action1', 'alarm_action2'],
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'ok_actions': ['ok_action_1', 'ok_action_2'],
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'name': 'fake_alarm_name',
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'timestamp': '2015-08-07T05:32:20.970341',
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'description': 'fake_random_description',
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'time_constraints': [],
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'enabled': True,
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'state_timestamp': '2015-08-07T17:59:11.351033',
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'threshold_rule': {'meter_name': 'fake_meter_name',
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'evaluation_periods': 1, 'period': 300,
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'statistic': 'avg', 'threshold': 2.0,
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'query': [],
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'comparison_operator': 'ge',
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'exclude_outliers': False},
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'alarm_id': 'fake_alarm_id',
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'state': 'ok',
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'insufficient_data_actions': ['fake_action_1',
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'fake_action_2'],
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'repeat_actions': True,
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'user_id': 'fake_user_id',
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'project_id': 'fake_project_id',
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'type': 'threshold',
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'severity': 'low'}
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alarm_dict_2 = {'alarm_actions': ['alarm_action1', 'alarm_action2'],
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'ok_actions': ['ok_action_1', 'ok_action_2'],
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'name': 'fake_alarm_name',
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'timestamp': '2015-08-07T05:32:20.970341',
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'description': 'New',
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'time_constraints': [],
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'enabled': True,
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'state_timestamp': '2015-08-07T17:59:11.351033',
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'threshold_rule': {'meter_name': 'fake_meter_name',
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'evaluation_periods': 1, 'period': 300,
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'statistic': 'avg', 'threshold': 2.0,
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'query': [],
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'comparison_operator': 'ge',
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'exclude_outliers': False},
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'alarm_id': 'fake_alarm_id2',
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'state': 'ok',
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'insufficient_data_actions': ['fake_action_1',
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'fake_action_2'],
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'repeat_actions': True,
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'user_id': 'fake_user_id',
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'project_id': 'fake_project_id',
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'type': 'threshold',
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'severity': 'low'}
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alarm_dict_3 = {'alarm_actions': ['alarm_action1', 'alarm_action2'],
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'ok_actions': ['ok_action_1', 'ok_action_2'],
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'name': 'fake_alarm_name',
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'timestamp': '2015-08-07T05:32:20.970341',
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'description': 'fake_random_description',
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'time_constraints': [],
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'enabled': True,
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'state_timestamp': '2015-08-07T17:59:11.351033',
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'threshold_rule': {'meter_name': 'fake_meter_name',
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'evaluation_periods': 2, 'period': 300,
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'statistic': 'avg', 'threshold': 2.0,
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'query': [{'field': 'resource_id',
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'value': ''}],
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'comparison_operator': 'ge',
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'exclude_outliers': False},
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'alarm_id': 'fake_alarm_id3',
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'state': 'ok',
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'insufficient_data_actions': ['fake_action_1',
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'fake_action_2'],
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'repeat_actions': True,
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'user_id': '',
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'project_id': '',
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'type': 'threshold',
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'severity': 'low'}
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alarm_dict_4 = {'alarm_actions': ['alarm_action1', 'alarm_action2'],
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'ok_actions': ['ok_action_1', 'ok_action_2'],
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'name': 'fake_alarm_name4',
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'timestamp': '2015-08-07T05:32:20.970341',
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'description': 'fake_random_description',
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'time_constraints': [],
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'enabled': True,
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'state_timestamp': '2015-08-07T17:59:11.351033',
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'threshold_rule': {'meter_name': '',
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'evaluation_periods': -10, 'period': -1,
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'statistic': 'avg', 'threshold': '',
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'query': [{'field': 'resource_id',
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'value': ''}],
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'comparison_operator': 'ge',
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'exclude_outliers': False},
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'alarm_id': 'fake_alarm_id4',
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'state': 'ok',
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'insufficient_data_actions': ['fake_action_1',
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'fake_action_2'],
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'repeat_actions': True,
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'user_id': 'fake_user_id',
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'project_id': 'fake_project_id',
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'type': 'threshold',
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'severity': 'low'}
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alarm_1 = alarms.Alarm(alarms.AlarmManager(None), alarm_dict_1)
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alarm_2 = alarms.Alarm(alarms.AlarmManager(None), alarm_dict_2)
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alarm_3 = alarms.Alarm(alarms.AlarmManager(None), alarm_dict_3)
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alarm_4 = alarms.Alarm(alarms.AlarmManager(None), alarm_dict_4)
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TEST.alarms.add(alarm_1)
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TEST.alarms.add(alarm_2)
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TEST.alarms.add(alarm_3)
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TEST.alarms.add(alarm_4)
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# meters
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meter_dict_1 = {'name': 'instance',
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'type': 'gauge',
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'unit': 'instance',
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'resource_id': 'fake_resource_id',
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'project_id': 'fake_project_id',
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'user_id': 'fake_user_id'}
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meter_dict_2 = {'name': 'instance',
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'type': 'gauge',
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'unit': 'instance',
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'resource_id': 'fake_resource_id',
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'project_id': 'fake_project_id',
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'user_id': 'fake_user_id'}
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meter_dict_3 = {'name': 'disk.read.bytes',
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'type': 'gauge',
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'unit': 'instance',
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'resource_id': 'fake_resource_id',
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'project_id': 'fake_project_id',
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'user_id': 'fake_user_id'}
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meter_dict_4 = {'name': 'disk.write.bytes',
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'type': 'gauge',
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'unit': 'instance',
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'resource_id': 'fake_resource_id',
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'project_id': 'fake_project_id',
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'user_id': 'fake_user_id'}
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meter_1 = meters.Meter(meters.MeterManager(None), meter_dict_1)
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meter_2 = meters.Meter(meters.MeterManager(None), meter_dict_2)
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meter_3 = meters.Meter(meters.MeterManager(None), meter_dict_3)
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meter_4 = meters.Meter(meters.MeterManager(None), meter_dict_4)
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TEST.meters.add(meter_1)
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TEST.meters.add(meter_2)
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TEST.meters.add(meter_3)
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TEST.meters.add(meter_4)
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# statistic
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statistic_dict_1 = {'min': 1,
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'max': 9,
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'avg': 4.55,
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'sum': 45,
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'count': 10,
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'duration_start': '2012-12-21T11:00:55.000000',
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'duration_end': '2012-12-21T11:00:55.000000',
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'period': 7200,
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'period_start': '2012-12-21T11:00:55.000000',
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'period_end': '2012-12-21T11:00:55.000000'}
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statistic_1 = statistics.Statistics(statistics.StatisticsManager(None),
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statistic_dict_1)
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TEST.statistics.add(statistic_1)
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