77904a25fd
Added following unit tests 1. Ceilometer test_create_and_query_alarms_no_filter test_create_and_query_samples_no_filter 2. Dummy t_dummy_dummy_with_scenario_output 3. Heat test_heat_resource_is Change-Id: I21a877a0b4d63febf3043fc7445d3bb051374093 Implements: blueprint improve-unit-test-coverage-rally
60 lines
2.1 KiB
Python
60 lines
2.1 KiB
Python
# 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 mock
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from rally.benchmark.scenarios.dummy import dummy
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from rally import exceptions
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from tests import test
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class DummyTestCase(test.TestCase):
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@mock.patch("rally.benchmark.scenarios.dummy.dummy.time")
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def test_dummy(self, mock_sleep):
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scenario = dummy.Dummy()
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scenario.sleep_between = mock.MagicMock()
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scenario.dummy()
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self.assertFalse(mock_sleep.sleep.called)
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scenario.dummy(sleep=10)
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mock_sleep.sleep.assert_called_once_with(10)
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def test_dummy_exception(self):
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scenario = dummy.Dummy()
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size_of_message = 5
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self.assertRaises(exceptions.DummyScenarioException,
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scenario.dummy_exception, size_of_message)
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def test_dummy_exception_probability(self):
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scenario = dummy.Dummy()
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# should not raise an exception as probability is 0
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for i in range(100):
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scenario.dummy_exception_probability(exception_probability=0)
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# should always raise an exception as probability is 1
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for i in range(100):
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self.assertRaises(exceptions.DummyScenarioException,
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scenario.dummy_exception_probability,
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{'exception_probability': 1})
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def test_dummy_dummy_with_scenario_output(self):
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scenario = dummy.Dummy()
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result = scenario.dummy_with_scenario_output()
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self.assertEqual(result['errors'], "")
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# Since the data is generated in random,
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# checking for not None
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self.assertNotEqual(result['data'], None)
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