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# Copyright 2014: Mirantis Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import ddt
from rally.plugins.task.sla import max_average_duration
from rally.task import sla
from tests.unit import test
@ddt.ddt
class MaxAverageDurationTestCase(test.TestCase):
@ddt.data((1, True), (1000, True), (0, False))
@ddt.unpack
def test_validate(self, config, valid):
results = sla.SLA.validate("max_avg_duration", None, None, config)
if valid:
self.assertEqual([], results)
else:
self.assertEqual(1, len(results))
def test_result(self):
sla1 = max_average_duration.MaxAverageDuration(42)
sla2 = max_average_duration.MaxAverageDuration(3.62)
for sla_inst in [sla1, sla2]:
sla_inst.add_iteration({"duration": 3.14})
sla_inst.add_iteration({"duration": 6.28})
self.assertTrue(sla1.result()["success"]) # 42 > avg([3.14, 6.28])
self.assertFalse(sla2.result()["success"]) # 3.62 < avg([3.14, 6.28])
self.assertEqual("Passed", sla1.status())
self.assertEqual("Failed", sla2.status())
def test_result_no_iterations(self):
sla_inst = max_average_duration.MaxAverageDuration(42)
self.assertTrue(sla_inst.result()["success"])
def test_add_iteration(self):
sla_inst = max_average_duration.MaxAverageDuration(4.0)
self.assertTrue(sla_inst.add_iteration({"duration": 3.5}))
self.assertTrue(sla_inst.add_iteration({"duration": 2.5}))
self.assertTrue(
sla_inst.add_iteration({"duration": 5.0})) # avg = 3.667
self.assertFalse(
sla_inst.add_iteration({"duration": 7.0})) # avg = 4.5
self.assertTrue(
sla_inst.add_iteration({"duration": 1.0})) # avg = 3.8
@ddt.data([[1.0, 2.0, 1.5, 4.3],
[2.1, 3.4, 1.2, 6.3, 7.2, 7.0, 1.],
[1.1, 1.1, 2.2, 2.2, 3.3, 4.3]])
def test_merge(self, durations):
single_sla = max_average_duration.MaxAverageDuration(4.0)
for dd in durations:
for d in dd:
single_sla.add_iteration({"duration": d})
slas = [max_average_duration.MaxAverageDuration(4.0)
for _ in durations]
for idx, sla_inst in enumerate(slas):
for duration in durations[idx]:
sla_inst.add_iteration({"duration": duration})
merged_sla = slas[0]
for sla_inst in slas[1:]:
merged_sla.merge(sla_inst)
self.assertEqual(single_sla.success, merged_sla.success)
self.assertEqual(single_sla.avg, merged_sla.avg)
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