Adapt noisy_neighbor strategy to multiple datasource backend
Partially-Implements: blueprint watcher-multi-datasource Change-Id: Ibcd5d0776280bb68ed838f88ebfcde27fc1a3d35
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@ -33,7 +33,7 @@ class DataSourceBase(object):
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host_memory_usage='hardware.memory.used', ),
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gnocchi=dict(host_cpu_usage='compute.node.cpu.percent',
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instance_cpu_usage='cpu_util',
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instance_l3_cache_usage=None,
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instance_l3_cache_usage='cpu_l3_cache',
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host_outlet_temp='hardware.ipmi.node.outlet_temperature',
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host_airflow='hardware.ipmi.node.airflow',
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host_inlet_temp='hardware.ipmi.node.temperature',
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@ -146,7 +146,9 @@ class GnocchiHelper(base.DataSourceBase):
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def get_instance_l3_cache_usage(self, resource_id, period, aggregate,
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granularity=300):
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raise NotImplementedError
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meter_name = self.METRIC_MAP.get('instance_l3_cache_usage')
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return self.statistic_aggregation(resource_id, meter_name, period,
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granularity, aggregation=aggregate)
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def get_instance_ram_allocated(self, resource_id, period, aggregate,
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granularity=300):
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@ -16,14 +16,15 @@
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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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#
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from oslo_config import cfg
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from oslo_log import log
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from watcher._i18n import _
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from watcher.common import exception as wexc
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from watcher.datasource import ceilometer as ceil
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from watcher.decision_engine.strategy.strategies import base
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LOG = log.getLogger(__name__)
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CONF = cfg.CONF
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class NoisyNeighbor(base.NoisyNeighborBaseStrategy):
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@ -45,17 +46,6 @@ class NoisyNeighbor(base.NoisyNeighborBaseStrategy):
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super(NoisyNeighbor, self).__init__(config, osc)
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self.meter_name = self.METER_NAME_L3
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self._ceilometer = None
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@property
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def ceilometer(self):
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if self._ceilometer is None:
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self.ceilometer = ceil.CeilometerHelper(osc=self.osc)
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return self._ceilometer
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@ceilometer.setter
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def ceilometer(self, c):
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self._ceilometer = c
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@classmethod
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def get_name(cls):
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@ -81,32 +71,39 @@ class NoisyNeighbor(base.NoisyNeighborBaseStrategy):
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"default": 35.0
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},
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"period": {
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"description": "Aggregate time period of ceilometer",
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"description": "Aggregate time period of "
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"ceilometer and gnocchi",
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"type": "number",
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"default": 100.0
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},
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},
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}
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@classmethod
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def get_config_opts(cls):
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return [
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cfg.ListOpt(
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"datasource",
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help="Data source to use in order to query the needed metrics",
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item_type=cfg.types.String(choices=['gnocchi', 'ceilometer',
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'monasca']),
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default=['gnocchi', 'ceilometer', 'monasca'])
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]
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def get_current_and_previous_cache(self, instance):
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try:
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current_cache = self.ceilometer.statistic_aggregation(
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resource_id=instance.uuid,
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meter_name=self.meter_name, period=self.period,
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aggregate='avg')
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curr_cache = self.datasource_backend.get_instance_l3_cache_usage(
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instance.uuid, self.period, 'mean', granularity=300)
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previous_cache = 2 * (
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self.ceilometer.statistic_aggregation(
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resource_id=instance.uuid,
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meter_name=self.meter_name,
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period=2*self.period, aggregate='avg')) - current_cache
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self.datasource_backend.get_instance_l3_cache_usage(
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instance.uuid, 2 * self.period,
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'mean', granularity=300)) - curr_cache
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except Exception as exc:
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LOG.exception(exc)
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return None
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return None, None
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return current_cache, previous_cache
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return curr_cache, previous_cache
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def find_priority_instance(self, instance):
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@ -114,7 +111,7 @@ class NoisyNeighbor(base.NoisyNeighborBaseStrategy):
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self.get_current_and_previous_cache(instance)
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if None in (current_cache, previous_cache):
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LOG.warning("Ceilometer unable to pick L3 Cache "
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LOG.warning("Datasource unable to pick L3 Cache "
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"values. Skipping the instance")
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return None
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@ -130,7 +127,7 @@ class NoisyNeighbor(base.NoisyNeighborBaseStrategy):
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self.get_current_and_previous_cache(instance)
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if None in (noisy_current_cache, noisy_previous_cache):
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LOG.warning("Ceilometer unable to pick "
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LOG.warning("Datasource unable to pick "
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"L3 Cache. Skipping the instance")
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return None
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@ -64,12 +64,12 @@ class FakeCeilometerMetrics(object):
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result = self.get_average_usage_instance_memory_wb(resource_id)
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return result
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def mock_get_statistics_nn(self, resource_id, meter_name, period,
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aggregate='avg'):
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def mock_get_statistics_nn(self, resource_id, period,
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aggregation, granularity=300):
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result = 0.0
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if meter_name == "cpu_l3_cache" and period == 100:
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if period == 100:
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result = self.get_average_l3_cache_current(resource_id)
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if meter_name == "cpu_l3_cache" and period == 200:
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if period == 200:
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result = self.get_average_l3_cache_previous(resource_id)
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return result
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@ -52,6 +52,41 @@ class FakeGnocchiMetrics(object):
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result = self.get_average_power(resource_id)
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return result
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def mock_get_statistics_nn(self, resource_id, period,
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aggregation, granularity=300):
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result = 0.0
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if period == 100:
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result = self.get_average_l3_cache_current(resource_id)
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if period == 200:
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result = self.get_average_l3_cache_previous(resource_id)
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return result
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@staticmethod
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def get_average_l3_cache_current(uuid):
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"""The average l3 cache used by instance"""
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mock = {}
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mock['73b09e16-35b7-4922-804e-e8f5d9b740fc'] = 35 * oslo_utils.units.Ki
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mock['cae81432-1631-4d4e-b29c-6f3acdcde906'] = 30 * oslo_utils.units.Ki
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mock['INSTANCE_3'] = 40 * oslo_utils.units.Ki
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mock['INSTANCE_4'] = 35 * oslo_utils.units.Ki
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if uuid not in mock.keys():
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mock[uuid] = 25 * oslo_utils.units.Ki
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return mock[str(uuid)]
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@staticmethod
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def get_average_l3_cache_previous(uuid):
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"""The average l3 cache used by instance"""
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mock = {}
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mock['73b09e16-35b7-4922-804e-e8f5d9b740fc'] = 34.5 * (
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oslo_utils.units.Ki)
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mock['cae81432-1631-4d4e-b29c-6f3acdcde906'] = 30.5 * (
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oslo_utils.units.Ki)
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mock['INSTANCE_3'] = 60 * oslo_utils.units.Ki
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mock['INSTANCE_4'] = 22.5 * oslo_utils.units.Ki
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if uuid not in mock.keys():
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mock[uuid] = 25 * oslo_utils.units.Ki
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return mock[str(uuid)]
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def mock_get_statistics_wb(self, resource_id, metric, granularity,
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start_time, stop_time, aggregation='mean'):
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result = 0.0
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@ -27,14 +27,24 @@ from watcher.decision_engine.strategy import strategies
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from watcher.tests import base
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from watcher.tests.decision_engine.model import ceilometer_metrics
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from watcher.tests.decision_engine.model import faker_cluster_state
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from watcher.tests.decision_engine.model import gnocchi_metrics
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class TestNoisyNeighbor(base.TestCase):
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scenarios = [
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("Ceilometer",
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{"datasource": "ceilometer",
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"fake_datasource_cls": ceilometer_metrics.FakeCeilometerMetrics}),
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("Gnocchi",
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{"datasource": "gnocchi",
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"fake_datasource_cls": gnocchi_metrics.FakeGnocchiMetrics}),
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]
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def setUp(self):
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super(TestNoisyNeighbor, self).setUp()
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# fake metrics
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self.fake_metrics = ceilometer_metrics.FakeCeilometerMetrics()
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self.f_metrics = self.fake_datasource_cls()
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# fake cluster
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self.fake_cluster = faker_cluster_state.FakerModelCollector()
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@ -44,11 +54,11 @@ class TestNoisyNeighbor(base.TestCase):
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self.m_model = p_model.start()
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self.addCleanup(p_model.stop)
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p_ceilometer = mock.patch.object(
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strategies.NoisyNeighbor, "ceilometer",
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p_datasource = mock.patch.object(
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strategies.NoisyNeighbor, "datasource_backend",
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new_callable=mock.PropertyMock)
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self.m_ceilometer = p_ceilometer.start()
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self.addCleanup(p_ceilometer.stop)
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self.m_datasource = p_datasource.start()
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self.addCleanup(p_datasource.stop)
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p_audit_scope = mock.patch.object(
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strategies.NoisyNeighbor, "audit_scope",
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@ -60,8 +70,8 @@ class TestNoisyNeighbor(base.TestCase):
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self.m_audit_scope.return_value = mock.Mock()
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self.m_model.return_value = model_root.ModelRoot()
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self.m_ceilometer.return_value = mock.Mock(
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statistic_aggregation=self.fake_metrics.mock_get_statistics_nn)
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self.m_datasource.return_value = mock.Mock(
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get_instance_l3_cache_usage=self.f_metrics.mock_get_statistics_nn)
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self.strategy = strategies.NoisyNeighbor(config=mock.Mock())
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self.strategy.input_parameters = utils.Struct()
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