89ea8a5de3
Cannot use method fail() in a class method Added quick fail to two other test groups Added some detail to setup failure messages Change-Id: I47deae35feea1b50916d8820334f30e2bb8f2cba
95 lines
3.6 KiB
Python
95 lines
3.6 KiB
Python
# (C) Copyright 2015 Hewlett Packard Enterprise Development Company LP
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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 time
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from oslo_utils import timeutils
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from monasca_tempest_tests.tests.api import base
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from monasca_tempest_tests.tests.api import constants
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from monasca_tempest_tests.tests.api import helpers
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from tempest.common.utils import data_utils
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from tempest import test
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class TestMetricsNames(base.BaseMonascaTest):
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@classmethod
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def resource_setup(cls):
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super(TestMetricsNames, cls).resource_setup()
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name = data_utils.rand_name()
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key = data_utils.rand_name()
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value = data_utils.rand_name()
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cls._param = key + ':' + value
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metric = helpers.create_metric(name=name,
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dimensions={key: value})
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cls._test_metric = metric
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cls.monasca_client.create_metrics(metric)
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start_time = str(timeutils.iso8601_from_timestamp(
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metric['timestamp'] / 1000.0))
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query_params = '?name=' + str(cls._test_metric['name']) +\
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'&start_time=' + start_time
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for i in xrange(constants.MAX_RETRIES):
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resp, response_body = cls.monasca_client.list_metrics(
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query_params)
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elements = response_body['elements']
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for element in elements:
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if str(element['name']) == cls._test_metric['name']:
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return
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time.sleep(constants.RETRY_WAIT_SECS)
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assert False, 'Unable to initialize metrics'
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@classmethod
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def resource_cleanup(cls):
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super(TestMetricsNames, cls).resource_cleanup()
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@test.attr(type='gate')
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def test_list_metrics_names(self):
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resp, response_body = self.monasca_client.list_metrics_names()
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self.assertEqual(200, resp.status)
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self.assertTrue(set(['links', 'elements']) == set(response_body))
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if self._is_name_in_list(response_body):
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return
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self.fail('Metric name not found')
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@test.attr(type='gate')
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def test_list_metrics_names_with_dimensions(self):
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query_params = '?dimensions=' + self._param
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resp, response_body = self.monasca_client.list_metrics_names(
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query_params)
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self.assertEqual(200, resp.status)
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self.assertTrue(set(['links', 'elements']) == set(response_body))
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if self._is_name_in_list(response_body):
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return
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self.fail('Metric name not found')
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@test.attr(type='gate')
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def test_list_metrics_names_with_limit_offset(self):
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# Can not test list_metrics_names_with_limit_offset for now because
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# list_metrics_names returns a list of metric names with no
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# duplicates. But the limit and offset are using the original list
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# with duplicates as reference.
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self.skipException('list_metrics_names_with_limit_offset')
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def _is_name_in_list(self, response_body):
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elements = response_body['elements']
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for element in elements:
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self.assertTrue(set(['id', 'name']) == set(element))
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if str(element['name']) == self._test_metric['name']:
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return True
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return False
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