Merge "Enhance test_statistics"
This commit is contained in:
Jenkins
@@ -25,6 +25,8 @@ from tempest_lib import exceptions
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NUM_MEASUREMENTS = 100
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WAIT_TIME = 30
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metric_value1 = 1.23
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metric_value2 = 4.56
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class TestStatistics(base.BaseMonascaTest):
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@@ -32,21 +34,43 @@ class TestStatistics(base.BaseMonascaTest):
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@classmethod
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def resource_setup(cls):
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super(TestStatistics, cls).resource_setup()
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name = data_utils.rand_name('name')
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key = data_utils.rand_name('key')
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value = data_utils.rand_name('value')
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cls._test_name = name
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cls._test_key = key
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cls._test_value = value
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cls._start_timestamp = int(time.time() * 1000)
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metrics = [
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helpers.create_metric(name=cls._test_name,
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dimensions={cls._test_key: cls._test_value},
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timestamp=cls._start_timestamp,
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value=metric_value1),
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helpers.create_metric(name=cls._test_name,
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dimensions={cls._test_key: cls._test_value},
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timestamp=cls._start_timestamp + 1000,
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value=metric_value2)
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]
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cls.monasca_client.create_metrics(metrics)
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start_time_iso = helpers.timestamp_to_iso(cls._start_timestamp)
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query_param = '?name=' + str(name) + '&start_time=' + \
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start_time_iso + '&end_time=' + \
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helpers.timestamp_to_iso(cls._start_timestamp + 1000 * 2)
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start_time_iso = helpers.timestamp_to_iso(cls._start_timestamp)
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cls._start_time_iso = start_time_iso
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start_timestamp = int(time.time() * 1000)
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end_timestamp = int(time.time() * 1000) + NUM_MEASUREMENTS * 1000
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metrics = []
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for i in xrange(NUM_MEASUREMENTS):
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metric = helpers.create_metric(
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name="name-1",
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timestamp=start_timestamp + i)
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metrics.append(metric)
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cls.monasca_client.create_metrics(metric)
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cls._start_timestamp = start_timestamp
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cls._end_timestamp = end_timestamp
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cls._metrics = metrics
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for i in xrange(constants.MAX_RETRIES):
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resp, response_body = cls.monasca_client.\
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list_measurements(query_param)
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elements = response_body['elements']
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for element in elements:
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if str(element['name']) == name and len(
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element['measurements']) == 2:
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cls._end_timestamp = cls._start_timestamp + 1000 * 3
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cls._end_time_iso = helpers.timestamp_to_iso(
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cls._end_timestamp)
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return
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time.sleep(constants.RETRY_WAIT_SECS)
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@classmethod
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def resource_cleanup(cls):
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@@ -54,110 +78,93 @@ class TestStatistics(base.BaseMonascaTest):
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@test.attr(type="gate")
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def test_list_statistics(self):
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start_time = timeutils.iso8601_from_timestamp(self._start_timestamp /
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1000)
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end_time = timeutils.iso8601_from_timestamp(self._end_timestamp / 1000)
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query_parms = '?name=name-1&merge_metrics=true&statistics=avg' \
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'&start_time=' + str(start_time) + '&end_time=' \
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+ str(end_time)
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query_parms = '?name=' + str(self._test_name) + \
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'&statistics=avg,min,max,sum,count' + '&start_time=' + \
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str(self._start_time_iso) + '&end_time=' + \
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str(self._end_time_iso) + '&merge_metrics=true' + \
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'&period=100000'
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resp, response_body = self.monasca_client.list_statistics(
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query_parms)
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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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elements = response_body['elements']
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element = elements[0]
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self.assertTrue(set(['id', 'name', 'dimensions', 'columns',
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'statistics']) == set(element))
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# check if 'id' is unicode type
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self.assertTrue(type(element['id']) is unicode)
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# check if 'name' is a string. NOPE its unicode
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self.assertTrue(type(element['name']) is unicode)
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self.assertTrue(type(element['dimensions']) is dict)
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self.assertTrue(type(element['columns']) is list)
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self.assertTrue(type(element['statistics']) is list)
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statistic = element['statistics']
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element = response_body['elements'][0]
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self._verify_element(element)
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column = element['columns']
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self.assertTrue(type(statistic) is list)
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self.assertTrue(type(column) is list)
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num_statistics_method = 5
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self._verify_column(column, num_statistics_method)
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statistics = element['statistics'][0]
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self._verify_statistics(statistics, metric_value1, metric_value2)
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@test.attr(type="gate")
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@test.attr(type=['negative'])
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def test_list_statistics_with_no_name(self):
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start_time = timeutils.iso8601_from_timestamp(self._start_timestamp /
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1000)
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end_time = timeutils.iso8601_from_timestamp(self._end_timestamp / 1000)
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query_parms = '?merge_metrics=true&statistics=avg&start_time=' + \
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str(start_time) + '&end_time=' + str(end_time)
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str(self._start_time_iso) + '&end_time=' + \
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str(self._end_time_iso)
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self.assertRaises(exceptions.UnprocessableEntity,
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self.monasca_client.list_statistics, query_parms)
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@test.attr(type="gate")
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@test.attr(type=['negative'])
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def test_list_statistics_with_no_statistics(self):
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start_time = timeutils.iso8601_from_timestamp(self._start_timestamp /
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1000)
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end_time = timeutils.iso8601_from_timestamp(self._end_timestamp / 1000)
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query_parms = '?name=name-1&start_time=' + str(start_time) + \
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'&end_time=' + str(end_time)
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query_parms = '?name=' + str(self._test_name) + '&start_time=' + str(
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self._start_time_iso) + '&end_time=' + str(self._end_time_iso)
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self.assertRaises(exceptions.UnprocessableEntity,
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self.monasca_client.list_statistics, query_parms)
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@test.attr(type="gate")
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@test.attr(type=['negative'])
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def test_list_statistics_with_no_start_time(self):
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query_parms = '?name=name-1&statistics=avg'
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query_parms = '?name=' + str(self._test_name) + '&statistics=avg'
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self.assertRaises(exceptions.UnprocessableEntity,
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self.monasca_client.list_statistics, query_parms)
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@test.attr(type="gate")
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@test.attr(type=['negative'])
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def test_list_statistics_with_invalid_statistics(self):
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start_time = timeutils.iso8601_from_timestamp(
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self._start_timestamp / 1000)
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end_time = timeutils.iso8601_from_timestamp(self._end_timestamp / 1000)
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query_parms = '?name=name-1&statistics=abc&start_time=' + str(
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start_time) + '&end_time=' + str(end_time)
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query_parms = '?name=' + str(self._test_name) + '&statistics=abc' + \
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'&start_time=' + str(self._start_time_iso) + \
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'&end_time=' + str(self._end_time_iso)
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self.assertRaises(exceptions.UnprocessableEntity,
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self.monasca_client.list_statistics, query_parms)
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@test.attr(type="gate")
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def test_list_statistics_with_dimensions(self):
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start_time = timeutils.iso8601_from_timestamp(self._start_timestamp
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/ 1000)
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end_time = timeutils.iso8601_from_timestamp(self._end_timestamp / 1000)
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query_parms = '?name=name-1&merge_metrics=true&statistics=avg&' \
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'start_time=' + str(start_time) + '&end_time=' + \
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str(end_time) + '&dimensions=key1:value1'
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query_parms = '?name=' + str(self._test_name) + '&statistics=avg' \
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'&start_time=' + str(self._start_time_iso) + \
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'&end_time=' + str(self._end_time_iso) + \
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'&dimensions=' + str(self._test_key) + ':' + \
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str(self._test_value) + '&period=100000'
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resp, response_body = self.monasca_client.list_statistics(
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query_parms)
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self.assertEqual(200, resp.status)
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dimensions = response_body['elements'][0]['dimensions']
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self.assertEqual(dimensions[self._test_key], self._test_value)
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@test.attr(type="gate")
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def test_list_statistics_with_end_time(self):
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start_time = timeutils.iso8601_from_timestamp(
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self._start_timestamp / 1000)
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end_time = timeutils.iso8601_from_timestamp(
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self._end_timestamp / 1000)
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query_parms = '?name=name-1&merge_metrics=true&statistics=avg&' \
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'start_time=' + str(start_time) + '&end_time=' + \
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str(end_time)
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resp, response_body = self.monasca_client.list_statistics(
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query_parms)
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self.assertEqual(200, resp.status)
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@test.attr(type=['negative'])
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def test_list_statistics_with_end_time_equals_start_time(self):
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query_parms = '?name=' + str(self._test_name) + \
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'&merge_metrics=true&statistics=avg&' \
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'start_time=' + str(self._start_time_iso) + \
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'&end_time=' + str(self._start_time_iso) + \
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'&period=100000'
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self.assertRaises(exceptions.BadRequest,
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self.monasca_client.list_statistics, query_parms)
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@test.attr(type="gate")
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def test_list_statistics_with_period(self):
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start_time = timeutils.iso8601_from_timestamp(
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self._start_timestamp / 1000)
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end_time = timeutils.iso8601_from_timestamp(
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self._end_timestamp / 1000)
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query_parms = '?name=name-1&merge_metrics=true&statistics=avg&' \
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'start_time=' + str(start_time) + '&end_time=' + \
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str(end_time) + '&period=300'
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query_parms = '?name=' + str(self._test_name) + \
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'&merge_metrics=true&statistics=avg&' \
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'start_time=' + str(self._start_time_iso) + \
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'&end_time=' + str(self._end_time_iso) + \
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'&period=1'
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resp, response_body = self.monasca_client.list_statistics(
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query_parms)
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self.assertEqual(200, resp.status)
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time_diff = self._end_timestamp - self._start_timestamp
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len_statistics = len(response_body['elements'][0]['statistics'])
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self.assertEqual(time_diff / 1000, len_statistics)
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@test.attr(type="gate")
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def test_list_statistics_with_offset_limit(self):
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@@ -179,59 +186,36 @@ class TestStatistics(base.BaseMonascaTest):
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helpers.create_metric(name=name, timestamp=start_timestamp + 1500,
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dimensions={'key1': 'value-4',
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'key2': 'value-4'},
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value=4),
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helpers.create_metric(name=name, timestamp=start_timestamp + 2000,
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dimensions={'key1': 'value-2',
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'key2': 'value-2'},
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value=5),
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helpers.create_metric(name=name, timestamp=start_timestamp + 2500,
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dimensions={'key1': 'value-3',
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'key2': 'value-3'},
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value=6),
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helpers.create_metric(name=name, timestamp=start_timestamp + 3000,
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dimensions={'key1': 'value-4',
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'key2': 'value-4'},
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value=7),
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helpers.create_metric(name=name, timestamp=start_timestamp + 3500,
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dimensions={'key1': 'value-4',
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'key2': 'value-4'},
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value=8)
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value=4)
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]
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self.monasca_client.create_metrics(metric)
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for timer in xrange(WAIT_TIME):
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query_parms = '?name=' + name
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query_parms = '?name=' + name
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for i in xrange(constants.MAX_RETRIES):
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resp, response_body = self.monasca_client.list_metrics(query_parms)
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self.assertEqual(200, resp.status)
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elements = response_body['elements']
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if elements:
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break
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else:
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time.sleep(1)
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if timer == WAIT_TIME - 1:
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skip_msg = ("Skipped test_list_statistics_with_offset_limit: "
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"timeout on waiting for metrics: 4 elements are "
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"needed. Current number of elements = {}").\
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format(len(elements))
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raise self.skipException(skip_msg)
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time.sleep(constants.RETRY_WAIT_SECS)
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self._check_timeout(i, constants.MAX_RETRIES, elements, 4)
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start_time = timeutils.iso8601_from_timestamp(
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start_timestamp / 1000)
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start_time = helpers.timestamp_to_iso(start_timestamp)
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end_timestamp = start_timestamp + 4000
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end_time = timeutils.iso8601_from_timestamp(end_timestamp / 1000)
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query_parms = '?name=' + name + '&merge_metrics=true&statistics=avg,' \
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'max,min,sum,count&start_time=' + str(start_time) + \
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'&end_time=' + str(end_time) + '&period=1'
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end_time = helpers.timestamp_to_iso(end_timestamp)
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query_parms = '?name=' + name + '&merge_metrics=true&statistics=avg' \
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+ '&start_time=' + str(start_time) + '&end_time=' + \
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str(end_time) + '&period=1'
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resp, body = self.monasca_client.list_statistics(query_parms)
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self.assertEqual(200, resp.status)
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elements = body['elements'][0]['statistics']
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first_element = elements[0]
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last_element = elements[3]
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query_parms = '?name=' + name + '&merge_metrics=true&statistics=avg,' \
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'max,min,sum,count&start_time=' + str(start_time) + \
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'&end_time=' + str(end_time) + '&period=1' + '&limit=4'
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query_parms = '?name=' + name + '&merge_metrics=true&statistics=avg'\
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+ '&start_time=' + str(start_time) + '&end_time=' + \
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str(end_time) + '&period=1' + '&limit=4'
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resp, response_body = self.monasca_client.list_statistics(
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query_parms)
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self.assertEqual(200, resp.status)
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@@ -252,11 +236,10 @@ class TestStatistics(base.BaseMonascaTest):
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offset = timeutils.iso8601_from_timestamp(
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offset_timestamp / 1000)
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query_parms = '?name=' + name + '&merge_metrics=true' + \
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'&statistics=avg,max,min,sum,' \
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'count&start_time=' + str(start_time) + \
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'&end_time=' + str(end_time) + \
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'&period=1' + '&limit=' + str(limit) + \
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'&offset=' + str(offset)
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'&statistics=avg' + '&start_time=' + \
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str(start_time) + '&end_time=' + \
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str(end_time) + '&period=1' + '&limit=' + \
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str(limit) + '&offset=' + str(offset)
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resp, response_body = self.monasca_client.list_statistics(
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query_parms)
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self.assertEqual(200, resp.status)
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@@ -272,64 +255,57 @@ class TestStatistics(base.BaseMonascaTest):
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self.assertEqual(last_element, next_element)
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break
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@test.attr(type="gate")
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def test_list_statistics_with_merge_metrics(self):
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start_time = timeutils.iso8601_from_timestamp(
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self._start_timestamp / 1000)
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end_time = timeutils.iso8601_from_timestamp(self._end_timestamp / 1000)
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query_parms = '?name=name-1&merge_metrics=true&statistics=avg&' \
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'merge_metrics=true&start_time=' + str(start_time) + \
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'&end_time=' + str(end_time)
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resp, response_body = self.monasca_client.list_statistics(
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query_parms)
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self.assertEqual(200, resp.status)
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@test.attr(type="gate")
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@test.attr(type=['negative'])
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def test_list_statistics_with_no_merge_metrics(self):
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start_time = timeutils.\
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iso8601_from_timestamp(self._start_timestamp / 1000)
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end_time = timeutils.\
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iso8601_from_timestamp(self._end_timestamp / 1000)
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query_parms = '?name=name-1&merge_metrics=false&' \
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'statistics=avg,min,max&start_time=' + str(start_time)\
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+ '&end_time=' + str(end_time)
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self.assertRaises(exceptions.Conflict,
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self.monasca_client.list_statistics, query_parms)
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key = data_utils.rand_name('key')
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value = data_utils.rand_name('value')
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metric3 = helpers.create_metric(
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name=self._test_name,
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dimensions={key: value},
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timestamp=self._start_timestamp + 2000)
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self.monasca_client.create_metrics(metric3)
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query_param = '?name=' + str(self._test_name) + '&start_time=' + \
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self._start_time_iso + '&end_time=' + helpers.\
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timestamp_to_iso(self._start_timestamp + 1000 * 4) + \
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'&merge_metrics=True'
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for i in xrange(constants.MAX_RETRIES):
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resp, response_body = self.monasca_client.\
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list_measurements(query_param)
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elements = response_body['elements']
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for element in elements:
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if str(element['name']) == self._test_name and len(
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element['measurements']) == 3:
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end_time_iso = helpers.timestamp_to_iso(
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self._start_timestamp + 1000 * 4)
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query_parms = '?name=' + str(self._test_name) + \
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'&statistics=avg' + '&start_time=' + \
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str(self._start_time_iso) + '&end_time=' +\
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str(end_time_iso) + '&period=100000'
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self.assertRaises(exceptions.Conflict,
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self.monasca_client.list_statistics,
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query_parms)
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return
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time.sleep(constants.RETRY_WAIT_SECS)
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self._check_timeout(i, constants.MAX_RETRIES, elements, 3)
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@test.attr(type="gate")
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@test.attr(type=['negative'])
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def test_list_statistics_with_name_exceeds_max_length(self):
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long_name = "x" * (constants.MAX_LIST_STATISTICS_NAME_LENGTH + 1)
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start_time = timeutils.iso8601_from_timestamp(self._start_timestamp
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/ 1000)
|
||||
end_time = timeutils.iso8601_from_timestamp(self._end_timestamp / 1000)
|
||||
query_parms = '?merge_metrics=true&name=' + str(long_name) + \
|
||||
'&start_time=' + str(start_time) + '&end_time=' + str(
|
||||
end_time)
|
||||
query_parms = '?name=' + str(long_name) + '&merge_metrics=true' + \
|
||||
'&start_time=' + str(self._start_time_iso) + \
|
||||
'&end_time=' + str(self._end_time_iso)
|
||||
self.assertRaises(exceptions.UnprocessableEntity,
|
||||
self.monasca_client.list_statistics, query_parms)
|
||||
|
||||
@test.attr(type="gate")
|
||||
def test_list_statistics_with_more_than_one_statistics(self):
|
||||
start_time = timeutils.\
|
||||
iso8601_from_timestamp(self._start_timestamp / 1000)
|
||||
end_time = timeutils.iso8601_from_timestamp(self._end_timestamp / 1000)
|
||||
query_parms = '?name=name-1&merge_metrics=true&' \
|
||||
'statistics=avg,min,max&start_time=' + str(start_time)\
|
||||
+ '&end_time=' + str(end_time)
|
||||
resp, response_body = self.monasca_client.list_statistics(
|
||||
query_parms)
|
||||
self.assertEqual(200, resp.status)
|
||||
|
||||
@test.attr(type="gate")
|
||||
def test_list_statistics_response_body_statistic_result_type(self):
|
||||
start_time = timeutils.iso8601_from_timestamp(self._start_timestamp
|
||||
/ 1000)
|
||||
end_time = timeutils.iso8601_from_timestamp(self._end_timestamp / 1000)
|
||||
query_parms = '?name=name-1&merge_metrics=true&statistics=avg' \
|
||||
'&start_time=' + str(start_time) + '&end_time=' \
|
||||
+ str(end_time)
|
||||
query_parms = '?name=' + str(self._test_name) + '&period=100000' + \
|
||||
'&statistics=avg' + '&merge_metrics=true' + \
|
||||
'&start_time=' + str(self._start_time_iso) + \
|
||||
'&end_time=' + str(self._end_time_iso)
|
||||
resp, response_body = self.monasca_client.list_statistics(
|
||||
query_parms)
|
||||
self.assertEqual(200, resp.status)
|
||||
@@ -337,3 +313,41 @@ class TestStatistics(base.BaseMonascaTest):
|
||||
statistic = element['statistics']
|
||||
statistic_result_type = type(statistic[0][1])
|
||||
self.assertEqual(statistic_result_type, float)
|
||||
|
||||
def _verify_statistics(self, statistics, num1, num2):
|
||||
self.assertTrue(type(statistics) is list)
|
||||
self.assertEqual(statistics[1], (num1 + num2) / 2)
|
||||
self.assertEqual(statistics[2], min(num1, num2))
|
||||
self.assertEqual(statistics[3], max(num1, num2))
|
||||
self.assertEqual(statistics[4], num1 + num2)
|
||||
self.assertEqual(statistics[5], 2)
|
||||
|
||||
def _verify_element(self, element):
|
||||
self.assertTrue(set(['id', 'name', 'dimensions', 'columns',
|
||||
'statistics']) == set(element))
|
||||
self.assertTrue(type(element['id']) is unicode)
|
||||
self.assertTrue(element['id'] is not None)
|
||||
self.assertTrue(type(element['name']) is unicode)
|
||||
self.assertTrue(type(element['dimensions']) is dict)
|
||||
self.assertEqual(len(element['dimensions']), 0)
|
||||
self.assertTrue(type(element['columns']) is list)
|
||||
self.assertTrue(type(element['statistics']) is list)
|
||||
self.assertEqual(element['name'], self._test_name)
|
||||
|
||||
def _verify_column(self, column, num_statistics_method):
|
||||
self.assertTrue(type(column) is list)
|
||||
self.assertEqual(len(column), num_statistics_method + 1)
|
||||
self.assertEqual(column[0], 'timestamp')
|
||||
self.assertEqual(column[1], 'avg')
|
||||
self.assertEqual(column[2], 'min')
|
||||
self.assertEqual(column[3], 'max')
|
||||
self.assertEqual(column[4], 'sum')
|
||||
self.assertEqual(column[5], 'count')
|
||||
|
||||
def _check_timeout(self, timer, max_retries, elements,
|
||||
expect_num_elements):
|
||||
if timer == max_retries - 1:
|
||||
error_msg = ("Failed: timeout on waiting for metrics: {} elements "
|
||||
"are needed. Current number of elements = {}").\
|
||||
format(expect_num_elements, len(elements))
|
||||
raise self.fail(error_msg)
|
||||
|
||||
Reference in New Issue
Block a user