553 lines
25 KiB
Python
553 lines
25 KiB
Python
#
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# Copyright 2015 Hewlett Packard
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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 collections
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import dateutil.parser
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import mock
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from oslotest import base
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import ceilometer
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import ceilometer.storage as storage
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from ceilometer.storage import impl_monasca
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class TestGetResources(base.BaseTestCase):
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_not_implemented_params(self, mock_mdf):
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with mock.patch("ceilometer.monasca_client.Client"):
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conn = impl_monasca.Connection("127.0.0.1:8080")
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kwargs = dict(pagination=True)
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self.assertRaises(ceilometer.NotImplementedError,
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lambda: list(conn.get_resources(**kwargs)))
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kwargs = dict(metaquery=True)
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self.assertRaises(ceilometer.NotImplementedError,
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lambda: list(conn.get_resources(**kwargs)))
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kwargs = dict(start_timestamp_op='le')
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self.assertRaises(ceilometer.NotImplementedError,
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lambda: list(conn.get_resources(**kwargs)))
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kwargs = dict(end_timestamp_op='ge')
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self.assertRaises(ceilometer.NotImplementedError,
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lambda: list(conn.get_resources(**kwargs)))
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_dims_filter(self, mdf_patch):
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with mock.patch("ceilometer.monasca_client.Client") as mock_client:
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conn = impl_monasca.Connection("127.0.0.1:8080")
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mnl_mock = mock_client().metrics_list
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mnl_mock.return_value = [
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{
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'name': 'some',
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'dimensions': {}
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}
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]
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kwargs = dict(project='proj1')
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list(conn.get_resources(**kwargs))
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self.assertEqual(True, mnl_mock.called)
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self.assertEqual(dict(dimensions=dict(project_id='proj1')),
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mnl_mock.call_args[1])
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self.assertEqual(1, mnl_mock.call_count)
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_get_resources(self, mock_mdf):
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with mock.patch("ceilometer.monasca_client.Client") as mock_client:
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conn = impl_monasca.Connection("127.0.0.1:8080")
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mnl_mock = mock_client().metrics_list
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mnl_mock.return_value = [{'name': 'metric1',
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'dimensions': {}},
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{'name': 'metric2',
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'dimensions': {}}
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]
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kwargs = dict(source='openstack')
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list(conn.get_resources(**kwargs))
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ml_mock = mock_client().measurements_list
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self.assertEqual(2, ml_mock.call_count)
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self.assertEqual(dict(dimensions={},
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name='metric1',
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limit=1,
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start_time='1970-01-01T00:00:00Z'),
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ml_mock.call_args_list[0][1])
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class MeterTest(base.BaseTestCase):
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_not_implemented_params(self, mock_mdf):
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with mock.patch('ceilometer.monasca_client.Client'):
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conn = impl_monasca.Connection('127.0.0.1:8080')
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kwargs = dict(pagination=True)
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self.assertRaises(ceilometer.NotImplementedError,
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lambda: list(conn.get_meters(**kwargs)))
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kwargs = dict(metaquery=True)
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self.assertRaises(ceilometer.NotImplementedError,
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lambda: list(conn.get_meters(**kwargs)))
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_metrics_list_call(self, mock_mdf):
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with mock.patch('ceilometer.monasca_client.Client') as mock_client:
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conn = impl_monasca.Connection('127.0.0.1:8080')
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metrics_list_mock = mock_client().metrics_list
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kwargs = dict(user='user-1',
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project='project-1',
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resource='resource-1',
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source='openstack',
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limit=100)
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list(conn.get_meters(**kwargs))
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self.assertEqual(True, metrics_list_mock.called)
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self.assertEqual(1, metrics_list_mock.call_count)
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self.assertEqual(dict(dimensions=dict(user_id='user-1',
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project_id='project-1',
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resource_id='resource-1',
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source='openstack'),
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limit=100),
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metrics_list_mock.call_args[1])
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class TestGetSamples(base.BaseTestCase):
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dummy_get_samples_mocked_return_value = (
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[{u'dimensions': {},
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u'measurements': [[u'2015-04-14T17:52:31Z', 1.0, {}]],
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u'id': u'2015-04-14T18:42:31Z',
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u'columns': [u'timestamp', u'value', u'value_meta'],
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u'name': u'image'}])
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_get_samples_not_implemented_params(self, mdf_mock):
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with mock.patch("ceilometer.monasca_client.Client"):
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conn = impl_monasca.Connection("127.0.0.1:8080")
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sample_filter = storage.SampleFilter(meter='specific meter',
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start_timestamp_op='<')
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self.assertRaises(ceilometer.NotImplementedError,
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lambda: list(conn.get_samples(sample_filter)))
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sample_filter = storage.SampleFilter(meter='specific meter',
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end_timestamp_op='>')
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self.assertRaises(ceilometer.NotImplementedError,
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lambda: list(conn.get_samples(sample_filter)))
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sample_filter = storage.SampleFilter(
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meter='specific meter', metaquery='specific metaquery')
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self.assertRaises(ceilometer.NotImplementedError,
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lambda: list(conn.get_samples(sample_filter)))
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sample_filter = storage.SampleFilter(meter='specific meter',
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message_id='specific message')
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self.assertRaises(ceilometer.NotImplementedError,
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lambda: list(conn.get_samples(sample_filter)))
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_get_samples_name(self, mdf_mock):
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with mock.patch("ceilometer.monasca_client.Client") as mock_client:
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conn = impl_monasca.Connection("127.0.0.1:8080")
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ml_mock = mock_client().measurements_list
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ml_mock.return_value = (
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TestGetSamples.dummy_get_samples_mocked_return_value)
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sample_filter = storage.SampleFilter(
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meter='specific meter', end_timestamp='2015-04-20T00:00:00Z')
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list(conn.get_samples(sample_filter))
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self.assertEqual(True, ml_mock.called)
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self.assertEqual(dict(
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dimensions={},
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start_time='1970-01-01T00:00:00Z',
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merge_metrics=True, name='specific meter',
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end_time=str(sample_filter.end_timestamp)),
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ml_mock.call_args[1])
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self.assertEqual(1, ml_mock.call_count)
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_get_samples_start_timestamp_filter(self, mdf_mock):
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with mock.patch("ceilometer.monasca_client.Client") as mock_client:
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conn = impl_monasca.Connection("127.0.0.1:8080")
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ml_mock = mock_client().measurements_list
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ml_mock.return_value = (
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TestGetSamples.dummy_get_samples_mocked_return_value)
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sample_filter = storage.SampleFilter(
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meter='specific meter',
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start_timestamp='2015-03-20T00:00:00Z',
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start_timestamp_op='ge')
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list(conn.get_samples(sample_filter))
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self.assertEqual(True, ml_mock.called)
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self.assertEqual(dict(
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dimensions={},
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start_time=str(sample_filter.start_timestamp),
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start_timestamp_op=sample_filter.start_timestamp_op,
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merge_metrics=True, name='specific meter'),
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ml_mock.call_args[1])
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self.assertEqual(1, ml_mock.call_count)
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_get_samples_end_timestamp_filter(self, mdf_mock):
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with mock.patch("ceilometer.monasca_client.Client") as mock_client:
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conn = impl_monasca.Connection("127.0.0.1:8080")
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ml_mock = mock_client().measurements_list
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ml_mock.return_value = (
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TestGetSamples.dummy_get_samples_mocked_return_value)
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sample_filter = storage.SampleFilter(
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meter='specific meter', end_timestamp='2015-04-20T00:00:00Z')
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list(conn.get_samples(sample_filter))
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self.assertEqual(True, ml_mock.called)
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self.assertEqual(dict(
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dimensions={},
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start_time='1970-01-01T00:00:00Z',
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merge_metrics=True, name='specific meter',
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end_time=str(sample_filter.end_timestamp)),
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ml_mock.call_args[1])
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self.assertEqual(1, ml_mock.call_count)
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_get_samples_limit(self, mdf_mock):
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with mock.patch("ceilometer.monasca_client.Client") as mock_client:
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conn = impl_monasca.Connection("127.0.0.1:8080")
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ml_mock = mock_client().measurements_list
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ml_mock.return_value = (
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TestGetSamples.dummy_get_samples_mocked_return_value)
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sample_filter = storage.SampleFilter(
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meter='specific meter', end_timestamp='2015-04-20T00:00:00Z')
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list(conn.get_samples(sample_filter, limit=50))
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self.assertEqual(True, ml_mock.called)
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self.assertEqual(dict(
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dimensions={},
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start_time='1970-01-01T00:00:00Z',
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merge_metrics=True, name='specific meter', limit=50,
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end_time=str(sample_filter.end_timestamp)),
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ml_mock.call_args[1])
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self.assertEqual(1, ml_mock.call_count)
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_get_samples_project_filter(self, mock_mdf):
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with mock.patch("ceilometer.monasca_client.Client") as mock_client:
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conn = impl_monasca.Connection("127.0.0.1:8080")
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ml_mock = mock_client().measurements_list
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ml_mock.return_value = (
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TestGetSamples.dummy_get_samples_mocked_return_value)
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sample_filter = storage.SampleFilter(meter='specific meter',
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project='specific project')
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list(conn.get_samples(sample_filter))
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self.assertEqual(True, ml_mock.called)
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self.assertEqual(dict(
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start_time='1970-01-01T00:00:00Z',
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merge_metrics=True, name='specific meter',
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dimensions=dict(project_id=sample_filter.project)),
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ml_mock.call_args[1])
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self.assertEqual(1, ml_mock.call_count)
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_get_samples_resource_filter(self, mock_mdf):
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with mock.patch("ceilometer.monasca_client.Client") as mock_client:
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conn = impl_monasca.Connection("127.0.0.1:8080")
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ml_mock = mock_client().measurements_list
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ml_mock.return_value = (
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TestGetSamples.dummy_get_samples_mocked_return_value)
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sample_filter = storage.SampleFilter(meter='specific meter',
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resource='specific resource')
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list(conn.get_samples(sample_filter))
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self.assertEqual(True, ml_mock.called)
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self.assertEqual(dict(
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start_time='1970-01-01T00:00:00Z',
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merge_metrics=True, name='specific meter',
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dimensions=dict(resource_id=sample_filter.resource)),
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ml_mock.call_args[1])
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self.assertEqual(1, ml_mock.call_count)
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_get_samples_source_filter(self, mdf_mock):
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with mock.patch("ceilometer.monasca_client.Client") as mock_client:
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conn = impl_monasca.Connection("127.0.0.1:8080")
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ml_mock = mock_client().measurements_list
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ml_mock.return_value = (
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TestGetSamples.dummy_get_samples_mocked_return_value)
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sample_filter = storage.SampleFilter(meter='specific meter',
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source='specific source')
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list(conn.get_samples(sample_filter))
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self.assertEqual(True, ml_mock.called)
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self.assertEqual(dict(
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start_time='1970-01-01T00:00:00Z',
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merge_metrics=True, name='specific meter',
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dimensions=dict(source=sample_filter.source)),
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ml_mock.call_args[1])
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self.assertEqual(1, ml_mock.call_count)
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_get_samples_results(self, mdf_mock):
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with mock.patch("ceilometer.monasca_client.Client") as mock_client:
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conn = impl_monasca.Connection("127.0.0.1:8080")
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ml_mock = mock_client().measurements_list
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ml_mock.return_value = (
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[{u'dimensions': {
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'source': 'some source',
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'project_id': 'some project ID',
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'resource_id': 'some resource ID',
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'type': 'some type',
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'unit': 'some unit'},
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u'measurements':
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[[u'2015-04-01T02:03:04Z', 1.0, {}],
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[u'2015-04-11T22:33:44Z', 2.0, {}]],
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u'id': u'2015-04-14T18:42:31Z',
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u'columns': [u'timestamp', u'value', u'value_meta'],
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u'name': u'image'}])
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sample_filter = storage.SampleFilter(
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meter='specific meter',
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start_timestamp='2015-03-20T00:00:00Z')
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results = list(conn.get_samples(sample_filter))
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self.assertEqual(True, ml_mock.called)
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self.assertEqual(results[0].counter_name,
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ml_mock.return_value[0].get('name'))
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self.assertEqual(results[0].counter_type,
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ml_mock.return_value[0].get('dimensions').
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get('type'))
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self.assertEqual(results[0].counter_unit,
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ml_mock.return_value[0].get('dimensions').
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get('unit'))
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self.assertEqual(results[0].counter_volume,
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ml_mock.return_value[0].
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get('measurements')[0][1])
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self.assertEqual(results[0].message_id,
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ml_mock.return_value[0].get('id'))
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self.assertEqual(results[0].message_signature, '')
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self.assertEqual(results[0].project_id,
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ml_mock.return_value[0].get('dimensions').
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get('project_id'))
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self.assertEqual(results[0].recorded_at,
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dateutil.parser.parse(
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ml_mock.return_value[0].
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get('measurements')[0][0]))
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self.assertEqual(results[0].resource_id,
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ml_mock.return_value[0].get('dimensions').
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get('resource_id'))
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self.assertEqual(results[0].resource_metadata, {})
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self.assertEqual(results[0].source,
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ml_mock.return_value[0].get('dimensions').
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get('source'))
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self.assertEqual(results[0].timestamp,
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dateutil.parser.parse(
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ml_mock.return_value[0].
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get('measurements')[0][0]))
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self.assertEqual(results[0].user_id, None)
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self.assertEqual(1, ml_mock.call_count)
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class MeterStatisticsTest(base.BaseTestCase):
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Aggregate = collections.namedtuple("Aggregate", ['func', 'param'])
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def assertRaisesWithMessage(self, msg, exc_class, func, *args, **kwargs):
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try:
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func(*args, **kwargs)
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self.fail('Expecting %s exception, none raised' %
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exc_class.__name__)
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except AssertionError:
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raise
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except Exception as e:
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self.assertIsInstance(e, exc_class)
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self.assertEqual(e.message, msg)
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_not_implemented_params(self, mock_mdf):
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with mock.patch("ceilometer.monasca_client.Client"):
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conn = impl_monasca.Connection("127.0.0.1:8080")
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self.assertRaisesWithMessage("Query without filter "
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"not implemented",
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ceilometer.NotImplementedError,
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lambda: list(
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conn.get_meter_statistics(None)))
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sf = storage.SampleFilter()
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self.assertRaisesWithMessage("Query without meter "
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"not implemented",
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ceilometer.NotImplementedError,
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lambda: list(
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conn.get_meter_statistics(sf)))
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sf.meter = "image"
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self.assertRaisesWithMessage("Groupby not implemented",
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ceilometer.NotImplementedError,
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lambda: list(
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conn.get_meter_statistics(
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sf,
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groupby="resource_id")))
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sf.metaquery = "metaquery"
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self.assertRaisesWithMessage("Metaquery not implemented",
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ceilometer.NotImplementedError,
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lambda: list(
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conn.get_meter_statistics(sf)))
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sf.metaquery = None
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sf.start_timestamp_op = 'le'
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self.assertRaisesWithMessage("Start time op le not implemented",
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ceilometer.NotImplementedError,
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lambda: list(
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conn.get_meter_statistics(sf)))
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sf.start_timestamp_op = None
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sf.end_timestamp_op = 'ge'
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self.assertRaisesWithMessage("End time op ge not implemented",
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ceilometer.NotImplementedError,
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lambda: list(
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conn.get_meter_statistics(sf)))
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sf.end_timestamp_op = None
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sf.message_id = "message_id"
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self.assertRaisesWithMessage("Message_id query not implemented",
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ceilometer.NotImplementedError,
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lambda: list(
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conn.get_meter_statistics(sf)))
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sf.message_id = None
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aggregate = [self.Aggregate(func='stddev', param='test')]
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self.assertRaisesWithMessage("Aggregate function(s) ['stddev']"
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" not implemented",
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ceilometer.NotImplementedError,
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lambda: list(
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conn.get_meter_statistics(
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sf, aggregate=aggregate)))
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@mock.patch("ceilometer.storage.impl_monasca.MonascaDataFilter")
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def test_stats_list_called_with(self, mock_mdf):
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with mock.patch("ceilometer.monasca_client.Client") as mock_client:
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conn = impl_monasca.Connection("127.0.0.1:8080")
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sl_mock = mock_client().statistics_list
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sf = storage.SampleFilter()
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sf.meter = "image"
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sf.project = "project_id"
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sf.user = "user_id"
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sf.resource = "resource_id"
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sf.source = "source_id"
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aggregate = [self.Aggregate(func="min", param="some")]
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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"
|
|
stats = list(conn.get_meter_statistics(sf, 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+00:00',
|
|
stats[0].period_end.isoformat())
|
|
self.assertEqual('2014-10-24T12:52:42+00:00',
|
|
stats[1].period_end.isoformat())
|
|
|
|
|
|
class CapabilitiesTest(base.BaseTestCase):
|
|
|
|
def test_capabilities(self):
|
|
expected_capabilities = {
|
|
'meters':
|
|
{
|
|
'pagination': False,
|
|
'query':
|
|
{
|
|
'complex': False,
|
|
'metadata': False,
|
|
'simple': True
|
|
}
|
|
},
|
|
'resources':
|
|
{
|
|
'pagination': False,
|
|
'query':
|
|
{
|
|
'complex': False, 'metadata': False, 'simple': True
|
|
}
|
|
},
|
|
'samples':
|
|
{
|
|
'groupby': False,
|
|
'pagination': False,
|
|
'query':
|
|
{
|
|
'complex': False,
|
|
'metadata': False,
|
|
'simple': True
|
|
}
|
|
},
|
|
'statistics':
|
|
{
|
|
'aggregation':
|
|
{
|
|
'selectable':
|
|
{
|
|
'avg': True,
|
|
'cardinality': False,
|
|
'count': True,
|
|
'max': True,
|
|
'min': True,
|
|
'stddev': False,
|
|
'sum': True
|
|
},
|
|
'standard': True},
|
|
'groupby': False,
|
|
'pagination': False,
|
|
'query':
|
|
{
|
|
'complex': False,
|
|
'metadata': False,
|
|
'simple': True
|
|
}
|
|
}
|
|
}
|
|
|
|
actual_capabilities = impl_monasca.Connection.get_capabilities()
|
|
self.assertEqual(expected_capabilities, actual_capabilities)
|