de6808a850
Merge data from several SLA instances into a single one
so that the code
sla1 = SLA()
sla1.add_iteration(a)
sla1.add_iteration(b)
sla2 = SLA()
sla2.add_iteration(c)
sla2.add_iteration(d)
sla1.merge(sla2)
is equivalent to
sla1 = SLA()
sla1.add_iteration(a)
sla1.add_iteration(b)
sla1.add_iteration(c)
sla1.add_iteration(d)
It is needed for distribluted load generation.
Change-Id: I1bf4b5a76a2729e800928ddd7306864de4612461
81 lines
3.0 KiB
Python
81 lines
3.0 KiB
Python
# Copyright 2014: Mirantis Inc.
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# All Rights Reserved.
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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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import ddt
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import jsonschema
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from rally.plugins.common.sla import max_average_duration
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from tests.unit import test
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@ddt.ddt
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class MaxAverageDurationTestCase(test.TestCase):
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def test_config_schema(self):
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properties = {
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"max_avg_duration": 0
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}
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self.assertRaises(jsonschema.ValidationError,
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max_average_duration.MaxAverageDuration.validate,
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properties)
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def test_result(self):
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sla1 = max_average_duration.MaxAverageDuration(42)
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sla2 = max_average_duration.MaxAverageDuration(3.62)
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for sla in [sla1, sla2]:
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sla.add_iteration({"duration": 3.14})
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sla.add_iteration({"duration": 6.28})
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self.assertTrue(sla1.result()["success"]) # 42 > avg([3.14, 6.28])
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self.assertFalse(sla2.result()["success"]) # 3.62 < avg([3.14, 6.28])
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self.assertEqual("Passed", sla1.status())
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self.assertEqual("Failed", sla2.status())
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def test_result_no_iterations(self):
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sla = max_average_duration.MaxAverageDuration(42)
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self.assertTrue(sla.result()["success"])
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def test_add_iteration(self):
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sla = max_average_duration.MaxAverageDuration(4.0)
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self.assertTrue(sla.add_iteration({"duration": 3.5}))
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self.assertTrue(sla.add_iteration({"duration": 2.5}))
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self.assertTrue(sla.add_iteration({"duration": 5.0})) # avg = 3.667
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self.assertFalse(sla.add_iteration({"duration": 7.0})) # avg = 4.5
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self.assertTrue(sla.add_iteration({"duration": 1.0})) # avg = 3.8
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@ddt.data([[1.0, 2.0, 1.5, 4.3],
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[2.1, 3.4, 1.2, 6.3, 7.2, 7.0, 1.],
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[1.1, 1.1, 2.2, 2.2, 3.3, 4.3]])
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def test_merge(self, durations):
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single_sla = max_average_duration.MaxAverageDuration(4.0)
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for dd in durations:
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for d in dd:
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single_sla.add_iteration({"duration": d})
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slas = [max_average_duration.MaxAverageDuration(4.0)
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for _ in durations]
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for idx, sla in enumerate(slas):
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for duration in durations[idx]:
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sla.add_iteration({"duration": duration})
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merged_sla = slas[0]
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for sla in slas[1:]:
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merged_sla.merge(sla)
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self.assertEqual(single_sla.success, merged_sla.success)
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self.assertEqual(single_sla.avg, merged_sla.avg)
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