302 lines
14 KiB
Python
302 lines
14 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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from tempest_lib import exceptions
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NUM_MEASUREMENTS = 100
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WAIT_TIME = 30
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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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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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resp, response_body = 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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@classmethod
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def resource_cleanup(cls):
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super(TestStatistics, cls).resource_cleanup()
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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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query_parms = '?name=name-1&merge_metrics=true&statistics=avg' \
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'&start_time=' + str(start_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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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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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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@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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query_parms = '?merge_metrics=true&statistics=avg&start_time=' + \
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str(start_time)
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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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query_parms = '?name=name-1&start_time=' + str(start_time)
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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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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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query_parms = '?name=name-1&statistics=abc&start_time=' + str(
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start_time)
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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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query_parms = '?name=name-1&merge_metrics=true&statistics=avg&' \
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'start_time=' + str(start_time) + \
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'&dimensions=key1:value1'
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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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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="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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query_parms = '?name=name-1&merge_metrics=true&statistics=avg&' \
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'start_time=' + str(start_time) + '&period=300'
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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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def test_list_statistics_with_offset_limit(self):
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start_timestamp = int(time.time() * 1000)
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name = data_utils.rand_name()
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metric = [
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helpers.create_metric(name=name, timestamp=start_timestamp + 0,
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dimensions={'key1': 'value-1',
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'key2': 'value-1'},
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value=1),
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helpers.create_metric(name=name, timestamp=start_timestamp + 500,
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dimensions={'key1': 'value-2',
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'key2': 'value-2'},
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value=2),
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helpers.create_metric(name=name, timestamp=start_timestamp + 1000,
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dimensions={'key1': 'value-3',
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'key2': 'value-3'},
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value=3),
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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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]
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resp, response_body = self.monasca_client.create_metrics(metric)
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time.sleep(WAIT_TIME)
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query_parms = '?name=' + name
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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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start_time = timeutils.iso8601_from_timestamp(
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start_timestamp / 1000)
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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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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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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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elements = response_body['elements'][0]['statistics']
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self.assertEqual(4, len(elements))
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self.assertEqual(first_element, elements[0])
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for limit in xrange(1, 5):
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next_element = elements[limit - 1]
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offset_timestamp = start_timestamp
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while True:
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offset_timestamp += 1000 * limit
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offset = timeutils.iso8601_from_timestamp(offset_timestamp /
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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) + '&period=1' + \
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'&limit=' + 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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new_elements = response_body['elements'][0]['statistics']
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if len(new_elements) > limit - 1:
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self.assertEqual(limit, len(new_elements))
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next_element = new_elements[limit - 1]
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elif len(new_elements) > 0 and len(new_elements) <= limit - 1:
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self.assertEqual(last_element, new_elements[0])
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break
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else:
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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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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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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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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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self.assertRaises(exceptions.Conflict,
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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_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)
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query_parms = '?merge_metrics=true&name=' + str(long_name) + \
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'&start_time=' + str(start_time)
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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_more_than_one_statistics(self):
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start_time = timeutils.\
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iso8601_from_timestamp(self._start_timestamp / 1000)
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query_parms = '?name=name-1&merge_metrics=true&' \
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'statistics=avg,min,max&start_time=' + str(start_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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def test_list_statistics_response_body_statistic_result_type(self):
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start_time = timeutils.iso8601_from_timestamp(self._start_timestamp
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/ 1000)
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query_parms = '?name=name-1&merge_metrics=true&statistics=avg&' \
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'start_time=' + str(start_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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element = response_body['elements'][0]
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statistic = element['statistics']
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statistic_result_type = type(statistic[0][1])
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self.assertEqual(statistic_result_type, float)
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