Implements base method for time series metrics
Implements base method as well as some basic implementations to retrieve time series metrics. Ceilometer can not be supported as API documentation has been unavailable. Grafana will be supported in follow-up patch. Partially Implements: blueprint time-series-framework Change-Id: I55414093324c8cff379b28f5b855f41a9265c2d3
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@@ -13,7 +13,7 @@
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from datetime import datetime
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from unittest import mock
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from oslo_config import cfg
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@@ -67,6 +67,43 @@ class TestMonascaHelper(base.BaseTestCase):
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)
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self.assertEqual(0.6, result)
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def test_monasca_statistic_series(self, mock_monasca):
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monasca = mock.MagicMock()
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expected_stat = [{
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'columns': ['timestamp', 'avg'],
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'dimensions': {
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'hostname': 'rdev-indeedsrv001',
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'service': 'monasca'},
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'id': '0',
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'name': 'cpu.percent',
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'statistics': [
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['2016-07-29T12:45:00Z', 0.0],
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['2016-07-29T12:50:00Z', 0.9],
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['2016-07-29T12:55:00Z', 0.9]]}]
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expected_result = {
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'2016-07-29T12:45:00Z': 0.0,
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'2016-07-29T12:50:00Z': 0.9,
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'2016-07-29T12:55:00Z': 0.9,
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}
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monasca.metrics.list_statistics.return_value = expected_stat
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mock_monasca.return_value = monasca
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start = datetime(year=2016, month=7, day=29, hour=12, minute=45)
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end = datetime(year=2016, month=7, day=29, hour=12, minute=55)
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helper = monasca_helper.MonascaHelper()
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result = helper.statistic_series(
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resource=mock.Mock(id='NODE_UUID'),
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resource_type='compute_node',
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meter_name='host_cpu_usage',
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start_time=start,
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end_time=end,
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granularity=300,
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)
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self.assertEqual(expected_result, result)
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def test_statistic_aggregation_metric_unavailable(self, mock_monasca):
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helper = monasca_helper.MonascaHelper()
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