Remove ceilometer-api from test_composite
Change-Id: Ib63d3f9f0d882f55024b7207c0b5d6f2f51ec5d8
This commit is contained in:
Mehdi Abaakouk
parent
d9ce260461
commit
fb6d414ab7
@ -78,49 +78,37 @@ class BaseCompositeEvaluate(base.TestEvaluatorBase):
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class CompositeTest(BaseCompositeEvaluate):
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sub_rule1 = {
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"type": "threshold",
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"meter_name": "cpu_util",
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"type": "gnocchi_aggregation_by_metrics_threshold",
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"metrics": ['41869681-5776-46d6-91ed-cccc43b6e4e3',
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'a1fb80f4-c242-4f57-87c6-68f47521059e'],
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"evaluation_periods": 5,
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"threshold": 0.8,
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"query": [{
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"field": "metadata.metering.stack_id",
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"value": "36b20eb3-d749-4964-a7d2-a71147cd8145",
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"op": "eq"
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}],
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"statistic": "avg",
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"period": 60,
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"aggregation_method": "mean",
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"granularity": 60,
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"exclude_outliers": False,
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"comparison_operator": "gt"
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}
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sub_rule2 = {
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"type": "threshold",
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"meter_name": "disk.iops",
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"type": "gnocchi_aggregation_by_metrics_threshold",
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"metrics": ['41869681-5776-46d6-91ed-cccc43b6e4e3',
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'a1fb80f4-c242-4f57-87c6-68f47521059e'],
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"evaluation_periods": 4,
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"threshold": 200,
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"query": [{
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"field": "metadata.metering.stack_id",
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"value": "36b20eb3-d749-4964-a7d2-a71147cd8145",
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"op": "eq"
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}],
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"statistic": "max",
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"period": 60,
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"aggregation_method": "max",
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"granularity": 60,
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"exclude_outliers": False,
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"comparison_operator": "gt"
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}
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sub_rule3 = {
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"type": "threshold",
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"meter_name": "network.incoming.packets.rate",
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"type": "gnocchi_aggregation_by_metrics_threshold",
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"metrics": ['41869681-5776-46d6-91ed-cccc43b6e4e3',
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'a1fb80f4-c242-4f57-87c6-68f47521059e'],
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"evaluation_periods": 3,
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"threshold": 1000,
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"query": [{
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"field": "metadata.metering.stack_id",
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"value": "36b20eb3-d749-4964-a7d2-a71147cd8145",
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"op": "eq"
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}],
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"statistic": "avg",
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"period": 60,
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"aggregation_method": "mean",
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"granularity": 60,
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"exclude_outliers": False,
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"comparison_operator": "gt"
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}
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@ -255,7 +243,6 @@ class CompositeTest(BaseCompositeEvaluate):
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def test_simple_insufficient(self):
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self._set_all_alarms('ok')
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self.api_client.statistics.list.return_value = []
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self.client.metric.aggregation.return_value = []
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self.client.metric.get_measures.return_value = []
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self._evaluate_all_alarms()
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@ -307,12 +294,12 @@ class CompositeTest(BaseCompositeEvaluate):
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# self.sub_rule4: ok
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# self.sub_rule5: ok
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# self.sub_rule6: alarm
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maxs = [self._get_stats('max', self.sub_rule2['threshold'] + 0.01 * v)
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for v in moves.xrange(1, 5)]
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avgs1 = [self._get_stats('avg', self.sub_rule3['threshold'] + 0.01 * v)
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for v in moves.xrange(1, 4)]
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avgs2 = [self._get_stats('avg', self.sub_rule1['threshold'] - 0.01 * v)
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for v in moves.xrange(1, 6)]
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maxs = self._get_gnocchi_stats(60, [self.sub_rule2['threshold'] + v
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for v in moves.xrange(1, 5)])
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avgs1 = self._get_gnocchi_stats(60, [self.sub_rule3['threshold'] + v
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for v in moves.xrange(1, 4)])
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avgs2 = self._get_gnocchi_stats(60, [self.sub_rule1['threshold'] - v
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for v in moves.xrange(1, 6)])
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gavgs1 = self._get_gnocchi_stats(60, [self.sub_rule4['threshold']
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- v for v in moves.xrange(1, 6)])
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@ -321,13 +308,12 @@ class CompositeTest(BaseCompositeEvaluate):
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gavgs2 = self._get_gnocchi_stats(50, [self.sub_rule6['threshold'] + v
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for v in moves.xrange(1, 7)])
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self.api_client.statistics.list.side_effect = [maxs, avgs1, avgs2]
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self.client.metric.get_measures.side_effect = [gavgs1]
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self.client.metric.aggregation.side_effect = [gmaxs, gavgs2]
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self.client.metric.aggregation.side_effect = [maxs, avgs1, avgs2,
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gmaxs, gavgs2]
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self.evaluator.evaluate(alarm)
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self.assertEqual(3, self.api_client.statistics.list.call_count)
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self.assertEqual(1, self.client.metric.get_measures.call_count)
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self.assertEqual(2, self.client.metric.aggregation.call_count)
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self.assertEqual(5, self.client.metric.aggregation.call_count)
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self.assertEqual('alarm', alarm.state)
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expected = mock.call(
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alarm, 'ok',
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@ -341,12 +327,12 @@ class CompositeTest(BaseCompositeEvaluate):
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def test_alarm_with_short_circuit_logic(self):
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alarm = self.alarms[1]
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# self.sub_rule1: alarm
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avgs = [self._get_stats('avg', self.sub_rule1['threshold'] + 0.01 * v)
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for v in moves.xrange(1, 6)]
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self.api_client.statistics.list.side_effect = [avgs]
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avgs = self._get_gnocchi_stats(60, [self.sub_rule1['threshold'] + v
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for v in moves.xrange(1, 6)])
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self.client.metric.aggregation.side_effect = [avgs]
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self.evaluator.evaluate(alarm)
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self.assertEqual('alarm', alarm.state)
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self.assertEqual(1, self.api_client.statistics.list.call_count)
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self.assertEqual(1, self.client.metric.aggregation.call_count)
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expected = mock.call(self.alarms[1], 'insufficient data',
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*self._reason(
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'alarm',
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@ -357,12 +343,12 @@ class CompositeTest(BaseCompositeEvaluate):
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def test_ok_with_short_circuit_logic(self):
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alarm = self.alarms[2]
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# self.sub_rule1: ok
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avgs = [self._get_stats('avg', self.sub_rule1['threshold'] - 0.01 * v)
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for v in moves.xrange(1, 6)]
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self.api_client.statistics.list.side_effect = [avgs]
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avgs = self._get_gnocchi_stats(60, [self.sub_rule1['threshold'] - v
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for v in moves.xrange(1, 6)])
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self.client.metric.aggregation.side_effect = [avgs]
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self.evaluator.evaluate(alarm)
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self.assertEqual('ok', alarm.state)
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self.assertEqual(1, self.api_client.statistics.list.call_count)
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self.assertEqual(1, self.client.metric.aggregation.call_count)
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expected = mock.call(self.alarms[2], 'insufficient data',
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*self._reason(
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'ok',
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@ -372,13 +358,14 @@ class CompositeTest(BaseCompositeEvaluate):
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def test_unknown_state_with_sub_rules_trending_state(self):
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alarm = self.alarms[0]
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maxs = [self._get_stats('max', self.sub_rule2['threshold'] + 0.01 * v)
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for v in moves.xrange(-1, 4)]
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avgs = [self._get_stats('avg', self.sub_rule3['threshold'] + 0.01 * v)
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for v in moves.xrange(-1, 3)]
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avgs2 = [self._get_stats('avg', self.sub_rule1['threshold'] - 0.01 * v)
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for v in moves.xrange(1, 6)]
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self.api_client.statistics.list.side_effect = [avgs2, maxs, avgs]
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maxs = self._get_gnocchi_stats(60, [self.sub_rule2['threshold'] + v
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for v in moves.xrange(-1, 4)])
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avgs = self._get_gnocchi_stats(60, [self.sub_rule3['threshold'] + v
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for v in moves.xrange(-1, 3)])
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avgs2 = self._get_gnocchi_stats(60, [self.sub_rule1['threshold'] - v
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for v in moves.xrange(1, 6)])
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self.client.metric.aggregation.side_effect = [avgs2, maxs, avgs]
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self.evaluator.evaluate(alarm)
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self.assertEqual('alarm', alarm.state)
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expected = mock.call(self.alarms[0], 'insufficient data',
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@ -393,13 +380,15 @@ class CompositeTest(BaseCompositeEvaluate):
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alarm = self.alarms[0]
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alarm.repeat_actions = True
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alarm.state = 'ok'
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maxs = [self._get_stats('max', self.sub_rule2['threshold'] + 0.01 * v)
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for v in moves.xrange(-1, 4)]
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avgs = [self._get_stats('avg', self.sub_rule3['threshold'] + 0.01 * v)
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for v in moves.xrange(-1, 3)]
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avgs2 = [self._get_stats('avg', self.sub_rule1['threshold'] - 0.01 * v)
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for v in moves.xrange(1, 6)]
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self.api_client.statistics.list.side_effect = [avgs2, maxs, avgs]
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maxs = self._get_gnocchi_stats(60, [self.sub_rule2['threshold'] + v
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for v in moves.xrange(-1, 4)])
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avgs = self._get_gnocchi_stats(60, [self.sub_rule3['threshold'] + v
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for v in moves.xrange(-1, 3)])
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avgs2 = self._get_gnocchi_stats(60, [self.sub_rule1['threshold'] - v
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for v in moves.xrange(1, 6)])
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self.client.metric.aggregation.side_effect = [avgs2, maxs, avgs]
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self.evaluator.evaluate(alarm)
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self.assertEqual('ok', alarm.state)
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expected = mock.call(self.alarms[0], 'ok',
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@ -414,13 +403,13 @@ class CompositeTest(BaseCompositeEvaluate):
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def test_known_state_with_sub_rules_trending_state_and_not_repeat(self):
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alarm = self.alarms[2]
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alarm.state = 'ok'
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maxs = [self._get_stats('max', self.sub_rule2['threshold'] + 0.01 * v)
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for v in moves.xrange(-1, 4)]
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avgs = [self._get_stats('avg', self.sub_rule3['threshold'] + 0.01 * v)
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for v in moves.xrange(-1, 3)]
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avgs2 = [self._get_stats('avg', self.sub_rule1['threshold'] - 0.01 * v)
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for v in moves.xrange(1, 6)]
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self.api_client.statistics.list.side_effect = [avgs2, maxs, avgs]
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maxs = self._get_gnocchi_stats(60, [self.sub_rule2['threshold'] + v
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for v in moves.xrange(-1, 4)])
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avgs = self._get_gnocchi_stats(60, [self.sub_rule3['threshold'] + v
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for v in moves.xrange(-1, 3)])
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avgs2 = self._get_gnocchi_stats(60, [self.sub_rule1['threshold'] - v
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for v in moves.xrange(1, 6)])
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self.client.metric.aggregation.side_effect = [avgs2, maxs, avgs]
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self.evaluator.evaluate(alarm)
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self.assertEqual('ok', alarm.state)
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self.assertEqual([], self.notifier.notify.mock_calls)
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