Remove ceilometer-api from test_storage_scenarios
Change-Id: I2ecadc6418aeb64eda31ae9ad57bb27623852f97
This commit is contained in:
Mehdi Abaakouk
parent
d6489652e5
commit
9a890a3c59
@ -26,6 +26,11 @@ from aodh.tests import constants
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from aodh.tests.functional import db as tests_db
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ALARM_TYPE = 'gnocchi_aggregation_by_metrics_threshold'
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METRIC_IDS = ['41869681-5776-46d6-91ed-cccc43b6e4e3',
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'a1fb80f4-c242-4f57-87c6-68f47521059e']
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class DBTestBase(tests_db.TestBase):
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@staticmethod
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def create_side_effect(method, exception_type, test_exception):
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@ -48,7 +53,7 @@ class AlarmTestBase(DBTestBase):
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def add_some_alarms(self):
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alarms = [alarm_models.Alarm(alarm_id='r3d',
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enabled=True,
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type='threshold',
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type=ALARM_TYPE,
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name='red-alert',
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description='my red-alert',
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timestamp=datetime.datetime(2015, 7,
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@ -67,18 +72,14 @@ class AlarmTestBase(DBTestBase):
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duration=300)],
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rule=dict(comparison_operator='eq',
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threshold=36,
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statistic='count',
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aggregation_method='count',
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evaluation_periods=1,
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period=60,
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meter_name='test.one',
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query=[{'field': 'key',
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'op': 'eq',
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'value': 'value',
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'type': 'string'}]),
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granularity=60,
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metrics=METRIC_IDS)
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),
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alarm_models.Alarm(alarm_id='0r4ng3',
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enabled=True,
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type='threshold',
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type=ALARM_TYPE,
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name='orange-alert',
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description='a orange',
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timestamp=datetime.datetime(2015, 7,
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@ -95,18 +96,14 @@ class AlarmTestBase(DBTestBase):
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time_constraints=[],
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rule=dict(comparison_operator='gt',
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threshold=75,
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statistic='avg',
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aggregation_method='avg',
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evaluation_periods=1,
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period=60,
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meter_name='test.forty',
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query=[{'field': 'key2',
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'op': 'eq',
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'value': 'value2',
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'type': 'string'}]),
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granularity=60,
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metrics=METRIC_IDS)
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),
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alarm_models.Alarm(alarm_id='y3ll0w',
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enabled=False,
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type='threshold',
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type=ALARM_TYPE,
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name='yellow-alert',
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description='yellow',
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timestamp=datetime.datetime(2015, 7,
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@ -123,19 +120,10 @@ class AlarmTestBase(DBTestBase):
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time_constraints=[],
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rule=dict(comparison_operator='lt',
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threshold=10,
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statistic='min',
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aggregation_method='min',
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evaluation_periods=1,
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period=60,
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meter_name='test.five',
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query=[{'field': 'key2',
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'op': 'eq',
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'value': 'value2',
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'type': 'string'},
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{'field':
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'user_metadata.key3',
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'op': 'eq',
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'value': 'value3',
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'type': 'string'}]),
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granularity=60,
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metrics=METRIC_IDS)
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)]
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for a in alarms:
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@ -175,7 +163,7 @@ class AlarmTest(AlarmTestBase):
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def test_list_by_type(self):
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self.add_some_alarms()
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alarms = list(self.alarm_conn.get_alarms(alarm_type='threshold'))
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alarms = list(self.alarm_conn.get_alarms(alarm_type=ALARM_TYPE))
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self.assertEqual(3, len(alarms))
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def test_list_excluded_by_name(self):
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@ -191,31 +179,27 @@ class AlarmTest(AlarmTestBase):
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alarms = list(self.alarm_conn.get_alarms())
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self.assertEqual(3, len(alarms))
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meter_names = sorted([a.rule['meter_name'] for a in alarms])
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self.assertEqual(['test.five', 'test.forty', 'test.one'], meter_names)
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metrics = sorted([a.rule['metrics'] for a in alarms])
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self.assertEqual([METRIC_IDS, METRIC_IDS, METRIC_IDS], metrics)
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def test_update(self):
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self.add_some_alarms()
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metrics = ['6841c175-d7c4-4bc2-bc7a-1c7832271b8f',
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'bc1efaa5-93b4-4518-8337-18519917c15a']
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orange = list(self.alarm_conn.get_alarms(name='orange-alert'))[0]
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orange.enabled = False
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orange.state = alarm_models.Alarm.ALARM_INSUFFICIENT_DATA
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query = [{'field': 'metadata.group',
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'op': 'eq',
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'value': 'test.updated',
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'type': 'string'}]
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orange.rule['query'] = query
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orange.rule['meter_name'] = 'new_meter_name'
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orange.rule['metrics'] = metrics
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updated = self.alarm_conn.update_alarm(orange)
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self.assertFalse(updated.enabled)
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self.assertEqual(alarm_models.Alarm.ALARM_INSUFFICIENT_DATA,
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updated.state)
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self.assertEqual(query, updated.rule['query'])
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self.assertEqual('new_meter_name', updated.rule['meter_name'])
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self.assertEqual(metrics, updated.rule['metrics'])
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def test_update_llu(self):
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llu = alarm_models.Alarm(alarm_id='llu',
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enabled=True,
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type='threshold',
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type=ALARM_TYPE,
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name='llu',
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description='llu',
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timestamp=constants.MIN_DATETIME,
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@ -231,11 +215,10 @@ class AlarmTest(AlarmTestBase):
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time_constraints=[],
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rule=dict(comparison_operator='lt',
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threshold=34,
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statistic='max',
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aggregation_method='max',
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evaluation_periods=1,
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period=60,
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meter_name='llt',
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query=[])
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granularity=60,
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metrics=METRIC_IDS)
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)
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updated = self.alarm_conn.create_alarm(llu)
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updated.state = alarm_models.Alarm.ALARM_OK
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