97 lines
3.3 KiB
Python
97 lines
3.3 KiB
Python
# Copyright 2019 Objectif Libre
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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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#
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import datetime
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from unittest import mock
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from cloudkitty.collector import monasca as mon_collector
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from cloudkitty import tests
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class MonascaCollectorTest(tests.TestCase):
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def setUp(self):
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super(MonascaCollectorTest, self).setUp()
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self.conf.set_override('collector', 'monasca', 'collect')
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conf = {
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'metrics': {
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'metric_one': {
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'unit': 'GiB',
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'groupby': ['project_id'],
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'extra_args': {
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'aggregation_method': 'max',
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},
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},
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'metric_two': {
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'unit': 'MiB',
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'groupby': ['project_id'],
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'extra_args': {
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'aggregation_method': 'max',
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'forced_project_id': 'project_x'
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},
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},
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}
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}
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with mock.patch(
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'cloudkitty.common.monasca_client.'
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'get_monasca_endpoint',
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return_value='http://noop'):
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self.collector = mon_collector.MonascaCollector(
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period=3600,
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conf=conf,
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)
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def test_fetch_measures_kwargs_no_forced_project(self):
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with mock.patch.object(self.collector._conn.metrics,
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'list_statistics') as m:
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start = datetime.datetime(2019, 1, 1)
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end = datetime.datetime(2019, 1, 1, 1)
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self.collector._fetch_measures(
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'metric_one',
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start,
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end,
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)
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m.assert_called_once_with(
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name='metric_one',
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merge_metrics=True,
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dimensions={},
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start_time=start,
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end_time=end,
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period=3600,
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statistics='max',
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group_by=['project_id', 'resource_id'],
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)
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def test_fetch_measures_kwargs_with_forced_project(self):
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with mock.patch.object(self.collector._conn.metrics,
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'list_statistics') as m:
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start = datetime.datetime(2019, 1, 1)
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end = datetime.datetime(2019, 1, 1, 1)
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self.collector._fetch_measures(
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'metric_two',
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start,
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end,
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)
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m.assert_called_once_with(
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name='metric_two',
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merge_metrics=True,
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dimensions={},
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start_time=start,
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end_time=end,
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period=3600,
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statistics='max',
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group_by=['project_id', 'resource_id'],
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tenant_id='project_x',
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)
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