3fa527f752
Implements: blueprint api-group-by New class StatisticsGroupByTest contains the storage tests for group by statistics and has its own test data The storage tests check group by statistics for 1) single field, "user-id" 2) single field, "resource-id" 3) single field, "project-id" 4) single field, "source" 5) single metadata field (not yet implemented) 6) multiple fields 7) multiple metadata fields (not yet implemented) 8) multiple mixed fields, regular and metadata (not yet implemented) 9) single field groupby with query filter 10) single metadata field groupby with query filter (not yet implemented) 11) multiple field group by with multiple query filters 12) multiple metadata field group by with multiple query filters (not yet implemented) 13) single field with period 14) single metadata field with period (not yet implemented) 15) single field with query filter and period 16) single metadata field with query filter and period (not yet implemented) It also includes the implementation for the SQLAlchemy driver. Change-Id: I902db657e424b9894c0382db4869b22317fc25da
145 lines
5.4 KiB
Python
145 lines
5.4 KiB
Python
# -*- encoding: utf-8 -*-
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#
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# Copyright © 2012 New Dream Network, LLC (DreamHost)
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#
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# Author: Doug Hellmann <doug.hellmann@dreamhost.com>
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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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"""Test listing raw events.
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"""
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import datetime
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import logging
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import testscenarios
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from ceilometer.openstack.common import timeutils
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from ceilometer.storage import models
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from ceilometer.tests import api as tests_api
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from ceilometer.tests import db as tests_db
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load_tests = testscenarios.load_tests_apply_scenarios
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LOG = logging.getLogger(__name__)
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class TestComputeDurationByResource(tests_api.TestBase,
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tests_db.MixinTestsWithBackendScenarios):
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def setUp(self):
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super(TestComputeDurationByResource, self).setUp()
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# Create events relative to the range and pretend
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# that the intervening events exist.
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self.early1 = datetime.datetime(2012, 8, 27, 7, 0)
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self.early2 = datetime.datetime(2012, 8, 27, 17, 0)
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self.start = datetime.datetime(2012, 8, 28, 0, 0)
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self.middle1 = datetime.datetime(2012, 8, 28, 8, 0)
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self.middle2 = datetime.datetime(2012, 8, 28, 18, 0)
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self.end = datetime.datetime(2012, 8, 28, 23, 59)
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self.late1 = datetime.datetime(2012, 8, 29, 9, 0)
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self.late2 = datetime.datetime(2012, 8, 29, 19, 0)
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def _set_stats(self, start, end):
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def get_meter_statistics(event_filter):
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return models.Statistics(
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unit='',
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min=0, max=0, avg=0, sum=0, count=0,
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period=None,
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period_start=None,
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period_end=None,
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duration=end - start,
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duration_start=start,
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duration_end=end,
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groupby=None)
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self.stubs.Set(self.conn, 'get_meter_statistics',
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get_meter_statistics)
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def _invoke_api(self):
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return self.get(
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'/resources/resource-id/meters/instance:m1.tiny/duration',
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start_timestamp=self.start.isoformat(),
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end_timestamp=self.end.isoformat(),
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search_offset=10, # this value doesn't matter, db call is mocked
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)
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def test_before_range(self):
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self._set_stats(self.early1, self.early2)
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data = self._invoke_api()
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assert data['start_timestamp'] is None
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assert data['end_timestamp'] is None
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assert data['duration'] is None
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def _assert_times_match(self, actual, expected):
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actual = timeutils.parse_isotime(actual).replace(tzinfo=None)
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assert actual == expected
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def test_overlap_range_start(self):
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self._set_stats(self.early1, self.middle1)
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data = self._invoke_api()
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self._assert_times_match(data['start_timestamp'], self.start)
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self._assert_times_match(data['end_timestamp'], self.middle1)
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self.assertEqual(data['duration'], 8 * 60 * 60)
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def test_within_range(self):
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self._set_stats(self.middle1, self.middle2)
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data = self._invoke_api()
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self._assert_times_match(data['start_timestamp'], self.middle1)
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self._assert_times_match(data['end_timestamp'], self.middle2)
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self.assertEqual(data['duration'], 10 * 60 * 60)
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def test_within_range_zero_duration(self):
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self._set_stats(self.middle1, self.middle1)
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data = self._invoke_api()
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self._assert_times_match(data['start_timestamp'], self.middle1)
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self._assert_times_match(data['end_timestamp'], self.middle1)
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assert data['duration'] == 0
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def test_overlap_range_end(self):
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self._set_stats(self.middle2, self.late1)
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data = self._invoke_api()
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self._assert_times_match(data['start_timestamp'], self.middle2)
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self._assert_times_match(data['end_timestamp'], self.end)
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self.assertEqual(data['duration'], ((6 * 60) - 1) * 60)
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def test_after_range(self):
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self._set_stats(self.late1, self.late2)
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data = self._invoke_api()
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assert data['start_timestamp'] is None
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assert data['end_timestamp'] is None
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assert data['duration'] is None
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def test_without_end_timestamp(self):
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self._set_stats(self.late1, self.late2)
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data = self.get(
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'/resources/resource-id/meters/instance:m1.tiny/duration',
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start_timestamp=self.late1.isoformat(),
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search_offset=10, # this value doesn't matter, db call is mocked
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)
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self._assert_times_match(data['start_timestamp'], self.late1)
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self._assert_times_match(data['end_timestamp'], self.late2)
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def test_without_start_timestamp(self):
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self._set_stats(self.early1, self.early2)
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data = self.get(
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'/resources/resource-id/meters/instance:m1.tiny/duration',
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end_timestamp=self.early2.isoformat(),
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search_offset=10, # this value doesn't matter, db call is mocked
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)
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self._assert_times_match(data['start_timestamp'], self.early1)
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self._assert_times_match(data['end_timestamp'], self.early2)
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