# # Copyright 2015 Hewlett Packard # # 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 collections import datetime import dateutil.parser import mock from oslo_config import fixture as fixture_config from oslo_utils import timeutils from oslotest import base import ceilometer from ceilometer.api.controllers.v2.meters import Aggregate import ceilometer.storage as storage from ceilometer.storage import impl_monasca class TestGetResources(base.BaseTestCase): @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_not_implemented_params(self, mock_mdf): with mock.patch("ceilometer.monasca_client.Client"): conn = impl_monasca.Connection("127.0.0.1:8080") kwargs = dict(start_timestamp_op='le') self.assertRaises(ceilometer.NotImplementedError, lambda: list(conn.get_resources(**kwargs))) kwargs = dict(end_timestamp_op='ge') self.assertRaises(ceilometer.NotImplementedError, lambda: list(conn.get_resources(**kwargs))) @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_dims_filter(self, mdf_patch): with mock.patch("ceilometer.monasca_client.Client") as mock_client: conn = impl_monasca.Connection("127.0.0.1:8080") mnl_mock = mock_client().metrics_list mnl_mock.return_value = [ { 'name': 'some', 'dimensions': {} } ] kwargs = dict(project='proj1') list(conn.get_resources(**kwargs)) self.assertEqual(True, mnl_mock.called) self.assertEqual(dict(dimensions=dict(project_id='proj1')), mnl_mock.call_args[1]) self.assertEqual(1, mnl_mock.call_count) @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_get_resources(self, mock_mdf): with mock.patch("ceilometer.monasca_client.Client") as mock_client: conn = impl_monasca.Connection("127.0.0.1:8080") mnl_mock = mock_client().metrics_list mnl_mock.return_value = [{'name': 'metric1', 'dimensions': {}}, {'name': 'metric2', 'dimensions': {}} ] kwargs = dict(source='openstack') list(conn.get_resources(**kwargs)) ml_mock = mock_client().measurements_list self.assertEqual(2, ml_mock.call_count) self.assertEqual(dict(dimensions={}, name='metric1', limit=1, start_time='1970-01-01T00:00:00Z'), ml_mock.call_args_list[0][1]) @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_get_resources_simple_metaquery(self, mock_mdf): with mock.patch("ceilometer.monasca_client.Client") as mock_client: conn = impl_monasca.Connection("127.0.0.1:8080") mnl_mock = mock_client().metrics_list mnl_mock.return_value = [{'name': 'metric1', 'dimensions': {}, 'value_meta': {'key': 'value1'}}, {'name': 'metric2', 'dimensions': {}, 'value_meta': {'key': 'value2'}}, ] kwargs = dict(metaquery={'metadata.key': 'value1'}) list(conn.get_resources(**kwargs)) ml_mock = mock_client().measurements_list self.assertEqual(2, ml_mock.call_count) self.assertEqual(dict(dimensions={}, name='metric2', limit=1, start_time='1970-01-01T00:00:00Z'), ml_mock.call_args_list[1][1]) class MeterTest(base.BaseTestCase): @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_not_implemented_params(self, mock_mdf): with mock.patch('ceilometer.monasca_client.Client'): conn = impl_monasca.Connection('127.0.0.1:8080') kwargs = dict(metaquery=True) self.assertRaises(ceilometer.NotImplementedError, lambda: list(conn.get_meters(**kwargs))) @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_metrics_list_call(self, mock_mdf): with mock.patch('ceilometer.monasca_client.Client') as mock_client: conn = impl_monasca.Connection('127.0.0.1:8080') metrics_list_mock = mock_client().metrics_list kwargs = dict(user='user-1', project='project-1', resource='resource-1', source='openstack', limit=100) list(conn.get_meters(**kwargs)) self.assertEqual(True, metrics_list_mock.called) self.assertEqual(1, metrics_list_mock.call_count) self.assertEqual(dict(dimensions=dict(user_id='user-1', project_id='project-1', resource_id='resource-1', source='openstack'), limit=100), metrics_list_mock.call_args[1]) class TestGetSamples(base.BaseTestCase): dummy_get_samples_mocked_return_value = ( [{u'dimensions': {}, u'measurements': [[u'2015-04-14T17:52:31Z', 1.0, {}]], u'id': u'2015-04-14T18:42:31Z', u'columns': [u'timestamp', u'value', u'value_meta'], u'name': u'image'}]) dummy_metrics_mocked_return_value = ( [{u'dimensions': {}, u'id': u'2015-04-14T18:42:31Z', u'name': u'specific meter'}]) def setUp(self): super(TestGetSamples, self).setUp() self.CONF = self.useFixture(fixture_config.Config()).conf self.CONF([], project='ceilometer', validate_default_values=True) self.CONF.set_override('query_concurrency_limit', 3, group='monasca') @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_get_samples_not_implemented_params(self, mdf_mock): with mock.patch("ceilometer.monasca_client.Client"): conn = impl_monasca.Connection("127.0.0.1:8080") sample_filter = storage.SampleFilter(meter='specific meter', start_timestamp_op='<') self.assertRaises(ceilometer.NotImplementedError, lambda: list(conn.get_samples(sample_filter))) sample_filter = storage.SampleFilter(meter='specific meter', end_timestamp_op='>') self.assertRaises(ceilometer.NotImplementedError, lambda: list(conn.get_samples(sample_filter))) sample_filter = storage.SampleFilter(meter='specific meter', message_id='specific message') self.assertRaises(ceilometer.NotImplementedError, lambda: list(conn.get_samples(sample_filter))) def get_concurrent_task_args(self, conn, start_time, end_time, sample_filter, dimensions=None, limit=None): delta = ((end_time - start_time) / self.CONF.monasca.query_concurrency_limit) expected_args_list = [] for start, end in impl_monasca.Connection.get_next_time_delta( conn, start_time, end_time, delta): if limit: expected_args_list.append(dict( dimensions=dimensions if dimensions else {}, start_time=timeutils.isotime(start), start_timestamp_op=sample_filter.start_timestamp_op, merge_metrics=False, name='specific meter', limit=limit, end_time=timeutils.isotime(end))) else: expected_args_list.append(dict( dimensions=dimensions if dimensions else {}, start_time=timeutils.isotime(start), start_timestamp_op=sample_filter.start_timestamp_op, merge_metrics=False, name='specific meter', end_time=timeutils.isotime(end))) return expected_args_list @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_get_samples_name(self, mdf_mock): with mock.patch("ceilometer.monasca_client.Client") as mock_client: conn = impl_monasca.Connection("127.0.0.1:8080") metrics_list_mock = mock_client().metrics_list metrics_list_mock.return_value = ( TestGetSamples.dummy_metrics_mocked_return_value ) ml_mock = mock_client().measurements_list ml_mock.return_value = ( TestGetSamples.dummy_get_samples_mocked_return_value) start_time = datetime.datetime(1970, 1, 1) end_time = datetime.datetime(2015, 4, 20) sample_filter = storage.SampleFilter( meter='specific meter', end_timestamp=timeutils.isotime(end_time)) list(conn.get_samples(sample_filter)) self.assertEqual(True, ml_mock.called) expected_args_list = self.get_concurrent_task_args( conn, start_time, end_time, sample_filter) self.assertEqual(3, ml_mock.call_count) (self.assertIn(call_arg[1], expected_args_list) for call_arg in ml_mock.call_args_list) @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_get_samples_start_timestamp_filter(self, mdf_mock): with mock.patch("ceilometer.monasca_client.Client") as mock_client: conn = impl_monasca.Connection("127.0.0.1:8080") metrics_list_mock = mock_client().metrics_list metrics_list_mock.return_value = ( TestGetSamples.dummy_metrics_mocked_return_value ) ml_mock = mock_client().measurements_list ml_mock.return_value = ( TestGetSamples.dummy_get_samples_mocked_return_value) start_time = datetime.datetime(2015, 3, 20) end_time = datetime.datetime.utcnow() sample_filter = storage.SampleFilter( meter='specific meter', start_timestamp=timeutils.isotime(start_time), start_timestamp_op='ge') list(conn.get_samples(sample_filter)) self.assertEqual(True, ml_mock.called) expected_args_list = self.get_concurrent_task_args(conn, start_time, end_time, sample_filter) self.assertEqual(3, ml_mock.call_count) (self.assertIn(call_arg[1], expected_args_list) for call_arg in ml_mock.call_args_list) @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_get_samples_limit(self, mdf_mock): with mock.patch("ceilometer.monasca_client.Client") as mock_client: conn = impl_monasca.Connection("127.0.0.1:8080") metrics_list_mock = mock_client().metrics_list metrics_list_mock.return_value = ( TestGetSamples.dummy_metrics_mocked_return_value ) ml_mock = mock_client().measurements_list ml_mock.return_value = ( TestGetSamples.dummy_get_samples_mocked_return_value) start_time = datetime.datetime(1970, 1, 1) end_time = datetime.datetime(2015, 4, 20) sample_filter = storage.SampleFilter( meter='specific meter', end_timestamp='2015-04-20T00:00:00Z') list(conn.get_samples(sample_filter, limit=50)) self.assertEqual(True, ml_mock.called) expected_args_list = self.get_concurrent_task_args(conn, start_time, end_time, sample_filter, limit=50) self.assertEqual(3, ml_mock.call_count) (self.assertIn(call_arg[1], expected_args_list) for call_arg in ml_mock.call_args_list) @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_get_samples_project_filter(self, mock_mdf): with mock.patch("ceilometer.monasca_client.Client") as mock_client: conn = impl_monasca.Connection("127.0.0.1:8080") metrics_list_mock = mock_client().metrics_list metrics_list_mock.return_value = ( [{u'dimensions': dict(project_id='specific project'), u'id': u'2015-04-14T18:42:31Z', u'name': u'specific meter'}] ) ml_mock = mock_client().measurements_list ml_mock.return_value = ( TestGetSamples.dummy_get_samples_mocked_return_value) start_time = datetime.datetime(1970, 1, 1) end_time = datetime.datetime.utcnow() sample_filter = storage.SampleFilter(meter='specific meter', project='specific project') list(conn.get_samples(sample_filter)) self.assertEqual(True, ml_mock.called) expected_args_list = self.get_concurrent_task_args( conn, start_time, end_time, sample_filter, dimensions=dict(project_id=sample_filter.project)) self.assertEqual(3, ml_mock.call_count) (self.assertIn(call_arg[1], expected_args_list) for call_arg in ml_mock.call_args_list) @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_get_samples_resource_filter(self, mock_mdf): with mock.patch("ceilometer.monasca_client.Client") as mock_client: conn = impl_monasca.Connection("127.0.0.1:8080") metrics_list_mock = mock_client().metrics_list metrics_list_mock.return_value = ( [{u'dimensions': dict(resource_id='specific resource'), u'id': u'2015-04-14T18:42:31Z', u'name': u'specific meter'}] ) ml_mock = mock_client().measurements_list ml_mock.return_value = ( TestGetSamples.dummy_get_samples_mocked_return_value) start_time = datetime.datetime(1970, 1, 1) end_time = datetime.datetime.utcnow() sample_filter = storage.SampleFilter(meter='specific meter', resource='specific resource') list(conn.get_samples(sample_filter)) self.assertEqual(True, ml_mock.called) expected_args_list = self.get_concurrent_task_args( conn, start_time, end_time, sample_filter, dimensions=dict(resource_id=sample_filter.resource)) self.assertEqual(3, ml_mock.call_count) (self.assertIn(call_arg[1], expected_args_list) for call_arg in ml_mock.call_args_list) @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_get_samples_source_filter(self, mdf_mock): with mock.patch("ceilometer.monasca_client.Client") as mock_client: conn = impl_monasca.Connection("127.0.0.1:8080") metrics_list_mock = mock_client().metrics_list metrics_list_mock.return_value = ( [{u'dimensions': dict(source='specific source'), u'id': u'2015-04-14T18:42:31Z', u'name': u'specific meter'}] ) ml_mock = mock_client().measurements_list ml_mock.return_value = ( TestGetSamples.dummy_get_samples_mocked_return_value) start_time = datetime.datetime(1970, 1, 1) end_time = datetime.datetime.utcnow() sample_filter = storage.SampleFilter(meter='specific meter', source='specific source') list(conn.get_samples(sample_filter)) self.assertEqual(True, ml_mock.called) expected_args_list = self.get_concurrent_task_args( conn, start_time, end_time, sample_filter, dimensions=dict(source=sample_filter.source)) self.assertEqual(3, ml_mock.call_count) (self.assertIn(call_arg[1], expected_args_list) for call_arg in ml_mock.call_args_list) @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_get_samples_simple_metaquery(self, mdf_mock): with mock.patch("ceilometer.monasca_client.Client") as mock_client: conn = impl_monasca.Connection("127.0.0.1:8080") metrics_list_mock = mock_client().metrics_list metrics_list_mock.return_value = ( TestGetSamples.dummy_metrics_mocked_return_value ) ml_mock = mock_client().measurements_list ml_mock.return_value = ( TestGetSamples.dummy_get_samples_mocked_return_value) start_time = datetime.datetime(1970, 1, 1) end_time = datetime.datetime.utcnow() sample_filter = storage.SampleFilter( meter='specific meter', metaquery={'metadata.key': u'value'}) list(conn.get_samples(sample_filter)) self.assertEqual(True, ml_mock.called) expected_args_list = self.get_concurrent_task_args( conn, start_time, end_time, sample_filter) self.assertEqual(3, ml_mock.call_count) (self.assertIn(call_arg[1], expected_args_list) for call_arg in ml_mock.call_args_list) @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_get_samples_results(self, mdf_mock): with mock.patch("ceilometer.monasca_client.Client") as mock_client: conn = impl_monasca.Connection("127.0.0.1:8080") metrics_list_mock = mock_client().metrics_list metrics_list_mock.return_value = ( [{u'dimensions': { 'source': 'some source', 'project_id': 'some project ID', 'resource_id': 'some resource ID', 'type': 'some type', 'unit': 'some unit'}, u'id': u'2015-04-14T18:42:31Z', u'name': u'image'}] ) ml_mock = mock_client().measurements_list # TODO(this test case needs more work) ml_mock.return_value = ( [{u'dimensions': { 'source': 'some source', 'project_id': 'some project ID', 'resource_id': 'some resource ID', 'type': 'some type', 'unit': 'some unit'}, u'measurements': [[u'2015-04-01T02:03:04Z', 1.0, {}], [u'2015-04-11T22:33:44Z', 2.0, {}]], u'id': u'2015-04-14T18:42:31Z', u'columns': [u'timestamp', u'value', u'value_meta'], u'name': u'image'}]) sample_filter = storage.SampleFilter( meter='specific meter', start_timestamp='2015-03-20T00:00:00Z') results = list(conn.get_samples(sample_filter)) self.assertEqual(True, ml_mock.called) self.assertEqual(results[0].counter_name, ml_mock.return_value[0].get('name')) self.assertEqual(results[0].counter_type, ml_mock.return_value[0].get('dimensions'). get('type')) self.assertEqual(results[0].counter_unit, ml_mock.return_value[0].get('dimensions'). get('unit')) self.assertEqual(results[0].counter_volume, ml_mock.return_value[0]. get('measurements')[0][1]) self.assertEqual(results[0].message_id, ml_mock.return_value[0].get('id')) self.assertEqual(results[0].message_signature, '') self.assertEqual(results[0].project_id, ml_mock.return_value[0].get('dimensions'). get('project_id')) self.assertEqual(results[0].recorded_at, dateutil.parser.parse( ml_mock.return_value[0]. get('measurements')[0][0])) self.assertEqual(results[0].resource_id, ml_mock.return_value[0].get('dimensions'). get('resource_id')) self.assertEqual(results[0].resource_metadata, {}) self.assertEqual(results[0].source, ml_mock.return_value[0].get('dimensions'). get('source')) self.assertEqual(results[0].timestamp, dateutil.parser.parse( ml_mock.return_value[0]. get('measurements')[0][0])) self.assertEqual(results[0].user_id, None) self.assertEqual(3, ml_mock.call_count) class MeterStatisticsTest(base.BaseTestCase): Aggregate = collections.namedtuple("Aggregate", ['func', 'param']) def assertRaisesWithMessage(self, msg, exc_class, func, *args, **kwargs): try: func(*args, **kwargs) self.fail('Expecting %s exception, none raised' % exc_class.__name__) except AssertionError: raise except Exception as e: self.assertIsInstance(e, exc_class) self.assertEqual(e.message, msg) @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_not_implemented_params(self, mock_mdf): with mock.patch("ceilometer.monasca_client.Client"): conn = impl_monasca.Connection("127.0.0.1:8080") self.assertRaisesWithMessage("Query without filter " "not implemented", ceilometer.NotImplementedError, lambda: list( conn.get_meter_statistics(None))) sf = storage.SampleFilter() self.assertRaisesWithMessage("Query without meter " "not implemented", ceilometer.NotImplementedError, lambda: list( conn.get_meter_statistics(sf))) sf.meter = "image" self.assertRaisesWithMessage("Groupby message_id not implemented", ceilometer.NotImplementedError, lambda: list( conn.get_meter_statistics( sf, groupby=['message_id']))) sf.metaquery = "metaquery" self.assertRaisesWithMessage("Metaquery not implemented", ceilometer.NotImplementedError, lambda: list( conn.get_meter_statistics(sf))) sf.metaquery = None sf.start_timestamp_op = 'le' self.assertRaisesWithMessage("Start time op le not implemented", ceilometer.NotImplementedError, lambda: list( conn.get_meter_statistics(sf))) sf.start_timestamp_op = None sf.end_timestamp_op = 'ge' self.assertRaisesWithMessage("End time op ge not implemented", ceilometer.NotImplementedError, lambda: list( conn.get_meter_statistics(sf))) sf.end_timestamp_op = None sf.message_id = "message_id" self.assertRaisesWithMessage("Message_id query not implemented", ceilometer.NotImplementedError, lambda: list( conn.get_meter_statistics(sf))) sf.message_id = None aggregate = [self.Aggregate(func='stddev', param='test')] self.assertRaisesWithMessage("Aggregate function(s) ['stddev']" " not implemented", ceilometer.NotImplementedError, lambda: list( conn.get_meter_statistics( sf, aggregate=aggregate))) @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_stats_list_called_with(self, mock_mdf): with mock.patch("ceilometer.monasca_client.Client") as mock_client: conn = impl_monasca.Connection("127.0.0.1:8080") sl_mock = mock_client().statistics_list sf = storage.SampleFilter() sf.meter = "image" sf.project = "project_id" sf.user = "user_id" sf.resource = "resource_id" sf.source = "source_id" aggregate = [self.Aggregate(func="min", param="some")] list(conn.get_meter_statistics(sf, period=10, aggregate=aggregate)) self.assertEqual(True, sl_mock.called) self.assertEqual( {'merge_metrics': True, 'dimensions': {'source': 'source_id', 'project_id': 'project_id', 'user_id': 'user_id', 'resource_id': 'resource_id' }, 'start_time': '1970-01-01T00:00:00Z', 'period': 10, 'statistics': 'min', 'name': 'image' }, sl_mock.call_args[1] ) @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_stats_list(self, mock_mdf): with mock.patch("ceilometer.monasca_client.Client") as mock_client: conn = impl_monasca.Connection("127.0.0.1:8080") sl_mock = mock_client().statistics_list sl_mock.return_value = [ { 'statistics': [ ['2014-10-24T12:12:12Z', 0.008], ['2014-10-24T12:52:12Z', 0.018] ], 'dimensions': {'unit': 'gb'}, 'columns': ['timestamp', 'min'] } ] sf = storage.SampleFilter() sf.meter = "image" aggregate = Aggregate() aggregate.func = 'min' sf.start_timestamp = timeutils.parse_isotime( '2014-10-24T12:12:42').replace(tzinfo=None) stats = list(conn.get_meter_statistics(sf, aggregate=[aggregate], period=30)) self.assertEqual(2, len(stats)) self.assertEqual('gb', stats[0].unit) self.assertEqual('gb', stats[1].unit) self.assertEqual(0.008, stats[0].min) self.assertEqual(0.018, stats[1].min) self.assertEqual(30, stats[0].period) self.assertEqual('2014-10-24T12:12:42', stats[0].period_end.isoformat()) self.assertEqual('2014-10-24T12:52:42', stats[1].period_end.isoformat()) self.assertIsNotNone(stats[0].as_dict().get('aggregate')) self.assertEqual({u'min': 0.008}, stats[0].as_dict()['aggregate']) @mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter") def test_stats_list_with_groupby(self, mock_mdf): with mock.patch("ceilometer.monasca_client.Client") as mock_client: conn = impl_monasca.Connection("127.0.0.1:8080") ml_mock = mock_client().metrics_list ml_mock.return_value = [ { 'name': 'image', 'dimensions': {'project_id': '1234'} }, { 'name': 'image', 'dimensions': {'project_id': '5678'} } ] sl_mock = mock_client().statistics_list sl_mock.side_effect = [[ { 'statistics': [ ['2014-10-24T12:12:12Z', 0.008, 1.3, 3, 0.34], ['2014-10-24T12:20:12Z', 0.078, 1.25, 2, 0.21], ['2014-10-24T12:52:12Z', 0.018, 0.9, 4, 0.14] ], 'dimensions': {'project_id': '1234', 'unit': 'gb'}, 'columns': ['timestamp', 'min', 'max', 'count', 'avg'] }], [{ 'statistics': [ ['2014-10-24T12:14:12Z', 0.45, 2.5, 2, 2.1], ['2014-10-24T12:20:12Z', 0.58, 3.2, 3, 3.4], ['2014-10-24T13:52:42Z', 1.67, 3.5, 1, 5.3] ], 'dimensions': {'project_id': '5678', 'unit': 'gb'}, 'columns': ['timestamp', 'min', 'max', 'count', 'avg'] }]] sf = storage.SampleFilter() sf.meter = "image" sf.start_timestamp = timeutils.parse_isotime( '2014-10-24T12:12:42').replace(tzinfo=None) groupby = ['project_id'] stats = list(conn.get_meter_statistics(sf, period=30, groupby=groupby)) self.assertEqual(2, len(stats)) for stat in stats: self.assertIsNotNone(stat.groupby) project_id = stat.groupby.get('project_id') self.assertIn(project_id, ['1234', '5678']) if project_id == '1234': self.assertEqual(0.008, stat.min) self.assertEqual(1.3, stat.max) self.assertEqual(0.23, stat.avg) self.assertEqual(9, stat.count) self.assertEqual(30, stat.period) self.assertEqual('2014-10-24T12:12:12', stat.period_start.isoformat()) if project_id == '5678': self.assertEqual(0.45, stat.min) self.assertEqual(3.5, stat.max) self.assertEqual(3.6, stat.avg) self.assertEqual(6, stat.count) self.assertEqual(30, stat.period) self.assertEqual('2014-10-24T13:52:42', stat.period_end.isoformat()) class CapabilitiesTest(base.BaseTestCase): def test_capabilities(self): expected_capabilities = { 'meters': { 'query': { 'complex': False, 'metadata': False, 'simple': True } }, 'resources': { 'query': { 'complex': False, 'metadata': True, 'simple': True } }, 'samples': { 'groupby': False, 'pagination': False, 'query': { 'complex': False, 'metadata': True, 'simple': True } }, 'statistics': { 'aggregation': { 'selectable': { 'avg': True, 'cardinality': False, 'count': True, 'max': True, 'min': True, 'stddev': False, 'sum': True }, 'standard': True}, 'groupby': False, 'query': { 'complex': False, 'metadata': False, 'simple': True } } } actual_capabilities = impl_monasca.Connection.get_capabilities() self.assertEqual(expected_capabilities, actual_capabilities)