9f923ae928
When statistics queried with large period value the overflow causes error 500. This patch converts the overflow error to ClientSideError which is returned as 400 bad input error Change-Id: Iacf89c75428713a151fbe81aa1601df63785f942 Closes-Bug: 1396223
1673 lines
79 KiB
Python
1673 lines
79 KiB
Python
#
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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 events statistics retrieval."""
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import datetime
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from ceilometer.publisher import utils
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from ceilometer import sample
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from ceilometer.tests.api import v2
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from ceilometer.tests import db as tests_db
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class TestMaxProjectVolume(v2.FunctionalTest,
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tests_db.MixinTestsWithBackendScenarios):
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PATH = '/meters/volume.size/statistics'
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def setUp(self):
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super(TestMaxProjectVolume, self).setUp()
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for i in range(3):
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s = sample.Sample(
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'volume.size',
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'gauge',
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'GiB',
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5 + i,
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'user-id',
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'project1',
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'resource-id-%s' % i,
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timestamp=datetime.datetime(2012, 9, 25, 10 + i, 30 + i),
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resource_metadata={'display_name': 'test-volume',
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'tag': 'self.sample',
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},
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source='source1',
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)
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msg = utils.meter_message_from_counter(
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s,
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self.CONF.publisher.metering_secret,
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)
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self.conn.record_metering_data(msg)
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def test_no_time_bounds(self):
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data = self.get_json(self.PATH, q=[{'field': 'project_id',
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'value': 'project1',
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}])
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self.assertEqual(7, data[0]['max'])
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self.assertEqual(3, data[0]['count'])
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def test_start_timestamp(self):
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data = self.get_json(self.PATH, q=[{'field': 'project_id',
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'value': 'project1',
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},
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{'field': 'timestamp',
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'op': 'ge',
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'value': '2012-09-25T11:30:00',
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},
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])
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self.assertEqual(7, data[0]['max'])
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self.assertEqual(2, data[0]['count'])
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def test_start_timestamp_after(self):
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data = self.get_json(self.PATH, q=[{'field': 'project_id',
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'value': 'project1',
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},
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{'field': 'timestamp',
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'op': 'ge',
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'value': '2012-09-25T12:34:00',
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},
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])
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self.assertEqual([], data)
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def test_end_timestamp(self):
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data = self.get_json(self.PATH, q=[{'field': 'project_id',
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'value': 'project1',
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},
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{'field': 'timestamp',
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'op': 'le',
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'value': '2012-09-25T11:30:00',
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},
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])
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self.assertEqual(5, data[0]['max'])
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self.assertEqual(1, data[0]['count'])
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def test_end_timestamp_before(self):
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data = self.get_json(self.PATH, q=[{'field': 'project_id',
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'value': 'project1',
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},
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{'field': 'timestamp',
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'op': 'le',
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'value': '2012-09-25T09:54:00',
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},
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])
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self.assertEqual([], data)
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def test_start_end_timestamp(self):
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data = self.get_json(self.PATH, q=[{'field': 'project_id',
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'value': 'project1',
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},
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{'field': 'timestamp',
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'op': 'ge',
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'value': '2012-09-25T11:30:00',
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},
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{'field': 'timestamp',
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'op': 'le',
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'value': '2012-09-25T11:32:00',
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},
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])
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self.assertEqual(6, data[0]['max'])
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self.assertEqual(1, data[0]['count'])
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class TestMaxResourceVolume(v2.FunctionalTest,
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tests_db.MixinTestsWithBackendScenarios):
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PATH = '/meters/volume.size/statistics'
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def setUp(self):
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super(TestMaxResourceVolume, self).setUp()
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for i in range(3):
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s = sample.Sample(
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'volume.size',
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'gauge',
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'GiB',
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5 + i,
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'user-id',
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'project1',
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'resource-id',
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timestamp=datetime.datetime(2012, 9, 25, 10 + i, 30 + i),
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resource_metadata={'display_name': 'test-volume',
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'tag': 'self.sample',
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},
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source='source1',
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)
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msg = utils.meter_message_from_counter(
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s,
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self.CONF.publisher.metering_secret,
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)
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self.conn.record_metering_data(msg)
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def test_no_time_bounds(self):
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data = self.get_json(self.PATH, q=[{'field': 'resource_id',
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'value': 'resource-id',
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}])
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self.assertEqual(7, data[0]['max'])
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self.assertEqual(3, data[0]['count'])
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def test_no_time_bounds_with_period(self):
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data = self.get_json(self.PATH,
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q=[{'field': 'resource_id',
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'value': 'resource-id'}],
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period=3600)
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self.assertEqual(3, len(data))
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self.assertEqual(set([u'2012-09-25T10:30:00',
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u'2012-09-25T12:32:00',
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u'2012-09-25T11:31:00']),
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set(x['duration_start'] for x in data))
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self.assertEqual(3600, data[0]['period'])
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self.assertEqual(set([u'2012-09-25T10:30:00',
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u'2012-09-25T11:30:00',
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u'2012-09-25T12:30:00']),
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set(x['period_start'] for x in data))
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def test_period_with_negative_value(self):
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resp = self.get_json(self.PATH, expect_errors=True,
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q=[{'field': 'resource_id',
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'value': 'resource-id'}],
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period=-1)
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self.assertEqual(400, resp.status_code)
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@tests_db.run_with('mysql', 'hbase', 'db2')
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def test_period_with_large_value(self):
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resp = self.get_json(self.PATH, expect_errors=True,
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q=[{'field': 'user_id',
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'value': 'user-id'}],
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period=10000000000000)
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self.assertEqual(400, resp.status_code)
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self.assertIn("Invalid period", resp.body)
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def test_start_timestamp(self):
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data = self.get_json(self.PATH, q=[{'field': 'resource_id',
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'value': 'resource-id',
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},
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{'field': 'timestamp',
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'op': 'ge',
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'value': '2012-09-25T11:30:00',
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},
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])
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self.assertEqual(7, data[0]['max'])
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self.assertEqual(2, data[0]['count'])
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def test_start_timestamp_after(self):
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data = self.get_json(self.PATH, q=[{'field': 'resource_id',
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'value': 'resource-id',
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},
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{'field': 'timestamp',
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'op': 'ge',
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'value': '2012-09-25T12:34:00',
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},
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])
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self.assertEqual([], data)
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def test_end_timestamp(self):
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data = self.get_json(self.PATH, q=[{'field': 'resource_id',
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'value': 'resource-id',
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},
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{'field': 'timestamp',
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'op': 'le',
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'value': '2012-09-25T11:30:00',
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},
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])
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self.assertEqual(5, data[0]['max'])
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self.assertEqual(1, data[0]['count'])
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def test_end_timestamp_before(self):
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data = self.get_json(self.PATH, q=[{'field': 'resource_id',
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'value': 'resource-id',
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},
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{'field': 'timestamp',
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'op': 'le',
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'value': '2012-09-25T09:54:00',
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},
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])
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self.assertEqual([], data)
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def test_start_end_timestamp(self):
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data = self.get_json(self.PATH, q=[{'field': 'resource_id',
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'value': 'resource-id',
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},
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{'field': 'timestamp',
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'op': 'ge',
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'value': '2012-09-25T11:30:00',
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},
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{'field': 'timestamp',
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'op': 'le',
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'value': '2012-09-25T11:32:00',
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},
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])
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self.assertEqual(6, data[0]['max'])
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self.assertEqual(1, data[0]['count'])
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class TestSumProjectVolume(v2.FunctionalTest,
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tests_db.MixinTestsWithBackendScenarios):
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PATH = '/meters/volume.size/statistics'
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def setUp(self):
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super(TestSumProjectVolume, self).setUp()
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for i in range(3):
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s = sample.Sample(
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'volume.size',
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'gauge',
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'GiB',
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5 + i,
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'user-id',
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'project1',
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'resource-id-%s' % i,
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timestamp=datetime.datetime(2012, 9, 25, 10 + i, 30 + i),
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resource_metadata={'display_name': 'test-volume',
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'tag': 'self.sample',
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},
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source='source1',
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)
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msg = utils.meter_message_from_counter(
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s,
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self.CONF.publisher.metering_secret,
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)
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self.conn.record_metering_data(msg)
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def test_no_time_bounds(self):
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data = self.get_json(self.PATH, q=[{'field': 'project_id',
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'value': 'project1',
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}])
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expected = 5 + 6 + 7
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self.assertEqual(expected, data[0]['sum'])
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self.assertEqual(3, data[0]['count'])
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def test_start_timestamp(self):
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data = self.get_json(self.PATH, q=[{'field': 'project_id',
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'value': 'project1',
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},
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{'field': 'timestamp',
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'op': 'ge',
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'value': '2012-09-25T11:30:00',
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},
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])
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expected = 6 + 7
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self.assertEqual(expected, data[0]['sum'])
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self.assertEqual(2, data[0]['count'])
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def test_start_timestamp_after(self):
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data = self.get_json(self.PATH, q=[{'field': 'project_id',
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'value': 'project1',
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},
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{'field': 'timestamp',
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'op': 'ge',
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'value': '2012-09-25T12:34:00',
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},
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])
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self.assertEqual([], data)
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def test_end_timestamp(self):
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data = self.get_json(self.PATH, q=[{'field': 'project_id',
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'value': 'project1',
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},
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{'field': 'timestamp',
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'op': 'le',
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'value': '2012-09-25T11:30:00',
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},
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])
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self.assertEqual(5, data[0]['sum'])
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self.assertEqual(1, data[0]['count'])
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def test_end_timestamp_before(self):
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data = self.get_json(self.PATH, q=[{'field': 'project_id',
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'value': 'project1',
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},
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{'field': 'timestamp',
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'op': 'le',
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'value': '2012-09-25T09:54:00',
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},
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])
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self.assertEqual([], data)
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def test_start_end_timestamp(self):
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data = self.get_json(self.PATH, q=[{'field': 'project_id',
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'value': 'project1',
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},
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{'field': 'timestamp',
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'op': 'ge',
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'value': '2012-09-25T11:30:00',
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},
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{'field': 'timestamp',
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'op': 'le',
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'value': '2012-09-25T11:32:00',
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},
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])
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self.assertEqual(6, data[0]['sum'])
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self.assertEqual(1, data[0]['count'])
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class TestSumResourceVolume(v2.FunctionalTest,
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tests_db.MixinTestsWithBackendScenarios):
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PATH = '/meters/volume.size/statistics'
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def setUp(self):
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super(TestSumResourceVolume, self).setUp()
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for i in range(3):
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s = sample.Sample(
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'volume.size',
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'gauge',
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'GiB',
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5 + i,
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'user-id',
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'project1',
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'resource-id',
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timestamp=datetime.datetime(2012, 9, 25, 10 + i, 30 + i),
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resource_metadata={'display_name': 'test-volume',
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'tag': 'self.sample',
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},
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source='source1',
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)
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msg = utils.meter_message_from_counter(
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s,
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self.CONF.publisher.metering_secret,
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)
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self.conn.record_metering_data(msg)
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def test_no_time_bounds(self):
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data = self.get_json(self.PATH, q=[{'field': 'resource_id',
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'value': 'resource-id',
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}])
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self.assertEqual(5 + 6 + 7, data[0]['sum'])
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self.assertEqual(3, data[0]['count'])
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def test_no_time_bounds_with_period(self):
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data = self.get_json(self.PATH,
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q=[{'field': 'resource_id',
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'value': 'resource-id'}],
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period=1800)
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self.assertEqual(3, len(data))
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self.assertEqual(set([u'2012-09-25T10:30:00',
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u'2012-09-25T12:32:00',
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u'2012-09-25T11:31:00']),
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set(x['duration_start'] for x in data))
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self.assertEqual(1800, data[0]['period'])
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self.assertEqual(set([u'2012-09-25T10:30:00',
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u'2012-09-25T11:30:00',
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u'2012-09-25T12:30:00']),
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set(x['period_start'] for x in data))
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def test_start_timestamp(self):
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data = self.get_json(self.PATH, q=[{'field': 'resource_id',
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'value': 'resource-id',
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},
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{'field': 'timestamp',
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'op': 'ge',
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'value': '2012-09-25T11:30:00',
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}])
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self.assertEqual(6 + 7, data[0]['sum'])
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self.assertEqual(2, data[0]['count'])
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def test_start_timestamp_with_period(self):
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data = self.get_json(self.PATH,
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q=[{'field': 'resource_id',
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'value': 'resource-id'},
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{'field': 'timestamp',
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'op': 'ge',
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'value': '2012-09-25T10:15:00'}],
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period=7200)
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self.assertEqual(2, len(data))
|
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self.assertEqual(set([u'2012-09-25T10:30:00',
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u'2012-09-25T12:32:00']),
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set(x['duration_start'] for x in data))
|
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self.assertEqual(7200, data[0]['period'])
|
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self.assertEqual(set([u'2012-09-25T10:15:00',
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u'2012-09-25T12:15:00']),
|
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set(x['period_start'] for x in data))
|
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|
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def test_start_timestamp_after(self):
|
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data = self.get_json(self.PATH, q=[{'field': 'resource_id',
|
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'value': 'resource-id',
|
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},
|
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{'field': 'timestamp',
|
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'op': 'ge',
|
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'value': '2012-09-25T12:34:00',
|
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}])
|
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self.assertEqual([], data)
|
|
|
|
def test_end_timestamp(self):
|
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data = self.get_json(self.PATH, q=[{'field': 'resource_id',
|
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'value': 'resource-id',
|
|
},
|
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{'field': 'timestamp',
|
|
'op': 'le',
|
|
'value': '2012-09-25T11:30:00',
|
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}])
|
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self.assertEqual(5, data[0]['sum'])
|
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self.assertEqual(1, data[0]['count'])
|
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|
|
def test_end_timestamp_before(self):
|
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data = self.get_json(self.PATH, q=[{'field': 'resource_id',
|
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'value': 'resource-id',
|
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},
|
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{'field': 'timestamp',
|
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'op': 'le',
|
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'value': '2012-09-25T09:54:00',
|
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}])
|
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self.assertEqual([], data)
|
|
|
|
def test_start_end_timestamp(self):
|
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data = self.get_json(self.PATH, q=[{'field': 'resource_id',
|
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'value': 'resource-id',
|
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},
|
|
{'field': 'timestamp',
|
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'op': 'ge',
|
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'value': '2012-09-25T11:30:00',
|
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},
|
|
{'field': 'timestamp',
|
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'op': 'lt',
|
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'value': '2012-09-25T11:32:00',
|
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}])
|
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self.assertEqual(6, data[0]['sum'])
|
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self.assertEqual(1, data[0]['count'])
|
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|
|
|
|
class TestGroupByInstance(v2.FunctionalTest,
|
|
tests_db.MixinTestsWithBackendScenarios):
|
|
|
|
PATH = '/meters/instance/statistics'
|
|
|
|
def setUp(self):
|
|
super(TestGroupByInstance, self).setUp()
|
|
|
|
test_sample_data = (
|
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{'volume': 2, 'user': 'user-1', 'project': 'project-1',
|
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'resource': 'resource-1', 'timestamp': (2013, 8, 1, 16, 10),
|
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'metadata_flavor': 'm1.tiny', 'metadata_event': 'event-1',
|
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'source': 'source-2'},
|
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{'volume': 2, 'user': 'user-1', 'project': 'project-2',
|
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'resource': 'resource-1', 'timestamp': (2013, 8, 1, 15, 37),
|
|
'metadata_flavor': 'm1.large', 'metadata_event': 'event-1',
|
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'source': 'source-2'},
|
|
{'volume': 1, 'user': 'user-2', 'project': 'project-1',
|
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'resource': 'resource-2', 'timestamp': (2013, 8, 1, 10, 11),
|
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'metadata_flavor': 'm1.tiny', 'metadata_event': 'event-2',
|
|
'source': 'source-1'},
|
|
{'volume': 1, 'user': 'user-2', 'project': 'project-1',
|
|
'resource': 'resource-2', 'timestamp': (2013, 8, 1, 10, 40),
|
|
'metadata_flavor': 'm1.large', 'metadata_event': 'event-2',
|
|
'source': 'source-1'},
|
|
{'volume': 2, 'user': 'user-2', 'project': 'project-1',
|
|
'resource': 'resource-1', 'timestamp': (2013, 8, 1, 14, 59),
|
|
'metadata_flavor': 'm1.large', 'metadata_event': 'event-2',
|
|
'source': 'source-1'},
|
|
{'volume': 4, 'user': 'user-2', 'project': 'project-2',
|
|
'resource': 'resource-2', 'timestamp': (2013, 8, 1, 17, 28),
|
|
'metadata_flavor': 'm1.large', 'metadata_event': 'event-2',
|
|
'source': 'source-1'},
|
|
{'volume': 4, 'user': 'user-3', 'project': 'project-1',
|
|
'resource': 'resource-3', 'timestamp': (2013, 8, 1, 11, 22),
|
|
'metadata_flavor': 'm1.tiny', 'metadata_event': 'event-2',
|
|
'source': 'source-3'},
|
|
)
|
|
|
|
for test_sample in test_sample_data:
|
|
c = sample.Sample(
|
|
'instance',
|
|
sample.TYPE_CUMULATIVE,
|
|
unit='s',
|
|
volume=test_sample['volume'],
|
|
user_id=test_sample['user'],
|
|
project_id=test_sample['project'],
|
|
resource_id=test_sample['resource'],
|
|
timestamp=datetime.datetime(*test_sample['timestamp']),
|
|
resource_metadata={'flavor': test_sample['metadata_flavor'],
|
|
'event': test_sample['metadata_event'], },
|
|
source=test_sample['source'],
|
|
)
|
|
msg = utils.meter_message_from_counter(
|
|
c,
|
|
self.CONF.publisher.metering_secret,
|
|
)
|
|
self.conn.record_metering_data(msg)
|
|
|
|
def test_group_by_user(self):
|
|
data = self.get_json(self.PATH, groupby=['user_id'])
|
|
groupby_keys_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].keys())
|
|
groupby_vals_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].values())
|
|
self.assertEqual(set(['user_id']), groupby_keys_set)
|
|
self.assertEqual(set(['user-1', 'user-2', 'user-3']), groupby_vals_set)
|
|
|
|
for r in data:
|
|
grp = r['groupby']
|
|
if grp == {'user_id': 'user-1'}:
|
|
self.assertEqual(2, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
elif grp == {'user_id': 'user-2'}:
|
|
self.assertEqual(4, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(1, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(8, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
elif grp == {'user_id': 'user-3'}:
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(4, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(4, r['avg'])
|
|
|
|
def test_group_by_resource(self):
|
|
data = self.get_json(self.PATH, groupby=['resource_id'])
|
|
groupby_keys_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].keys())
|
|
groupby_vals_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].values())
|
|
self.assertEqual(set(['resource_id']), groupby_keys_set)
|
|
self.assertEqual(set(['resource-1', 'resource-2', 'resource-3']),
|
|
groupby_vals_set)
|
|
|
|
for r in data:
|
|
grp = r['groupby']
|
|
if grp == {'resource_id': 'resource-1'}:
|
|
self.assertEqual(3, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(6, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
elif grp == {'resource_id': 'resource-2'}:
|
|
self.assertEqual(3, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(1, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(6, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
elif grp == {'resource_id': 'resource-3'}:
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(4, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(4, r['avg'])
|
|
|
|
def test_group_by_project(self):
|
|
data = self.get_json(self.PATH, groupby=['project_id'])
|
|
groupby_keys_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].keys())
|
|
groupby_vals_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].values())
|
|
self.assertEqual(set(['project_id']), groupby_keys_set)
|
|
self.assertEqual(set(['project-1', 'project-2']), groupby_vals_set)
|
|
|
|
for r in data:
|
|
grp = r['groupby']
|
|
if grp == {'project_id': 'project-1'}:
|
|
self.assertEqual(5, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(1, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(10, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
elif grp == {'project_id': 'project-2'}:
|
|
self.assertEqual(2, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(6, r['sum'])
|
|
self.assertEqual(3, r['avg'])
|
|
|
|
def test_group_by_unknown_field(self):
|
|
response = self.get_json(self.PATH,
|
|
expect_errors=True,
|
|
groupby=['wtf'])
|
|
self.assertEqual(400, response.status_code)
|
|
|
|
def test_group_by_multiple_regular(self):
|
|
data = self.get_json(self.PATH, groupby=['user_id', 'resource_id'])
|
|
groupby_keys_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].keys())
|
|
groupby_vals_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].values())
|
|
self.assertEqual(set(['user_id', 'resource_id']), groupby_keys_set)
|
|
self.assertEqual(set(['user-1', 'user-2', 'user-3', 'resource-1',
|
|
'resource-2', 'resource-3']),
|
|
groupby_vals_set)
|
|
|
|
for r in data:
|
|
grp = r['groupby']
|
|
if grp == {'user_id': 'user-1',
|
|
'resource_id': 'resource-1'}:
|
|
self.assertEqual(2, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
elif grp == {'user_id': 'user-2',
|
|
'resource_id': 'resource-1'}:
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(2, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
elif grp == {'user_id': 'user-2',
|
|
'resource_id': 'resource-2'}:
|
|
self.assertEqual(3, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(1, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(6, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
elif grp == {'user_id': 'user-3',
|
|
'resource_id': 'resource-3'}:
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(4, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(4, r['avg'])
|
|
else:
|
|
self.assertNotEqual(grp, {'user_id': 'user-1',
|
|
'resource_id': 'resource-2'})
|
|
self.assertNotEqual(grp, {'user_id': 'user-1',
|
|
'resource_id': 'resource-3'})
|
|
self.assertNotEqual(grp, {'user_id': 'user-2',
|
|
'resource_id': 'resource-3'})
|
|
self.assertNotEqual(grp, {'user_id': 'user-3',
|
|
'resource_id': 'resource-1'})
|
|
self.assertNotEqual(grp, {'user_id': 'user-3',
|
|
'resource_id': 'resource-2'})
|
|
|
|
def test_group_by_with_query_filter(self):
|
|
data = self.get_json(self.PATH,
|
|
q=[{'field': 'project_id',
|
|
'op': 'eq',
|
|
'value': 'project-1'}],
|
|
groupby=['resource_id'])
|
|
groupby_keys_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].keys())
|
|
groupby_vals_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].values())
|
|
self.assertEqual(set(['resource_id']), groupby_keys_set)
|
|
self.assertEqual(set(['resource-1', 'resource-2', 'resource-3']),
|
|
groupby_vals_set)
|
|
|
|
for r in data:
|
|
grp = r['groupby']
|
|
if grp == {'resource_id': 'resource-1'}:
|
|
self.assertEqual(2, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
elif grp == {'resource_id': 'resource-2'}:
|
|
self.assertEqual(2, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(1, r['min'])
|
|
self.assertEqual(1, r['max'])
|
|
self.assertEqual(2, r['sum'])
|
|
self.assertEqual(1, r['avg'])
|
|
elif grp == {'resource_id': 'resource-3'}:
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(4, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(4, r['avg'])
|
|
|
|
def test_group_by_with_query_filter_multiple(self):
|
|
data = self.get_json(self.PATH,
|
|
q=[{'field': 'user_id',
|
|
'op': 'eq',
|
|
'value': 'user-2'},
|
|
{'field': 'source',
|
|
'op': 'eq',
|
|
'value': 'source-1'}],
|
|
groupby=['project_id', 'resource_id'])
|
|
groupby_keys_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].keys())
|
|
groupby_vals_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].values())
|
|
self.assertEqual(set(['project_id', 'resource_id']), groupby_keys_set)
|
|
self.assertEqual(set(['project-1', 'project-2',
|
|
'resource-1', 'resource-2']),
|
|
groupby_vals_set)
|
|
|
|
for r in data:
|
|
grp = r['groupby']
|
|
if grp == {'project_id': 'project-1',
|
|
'resource_id': 'resource-1'}:
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(2, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
elif grp == {'project_id': 'project-1',
|
|
'resource_id': 'resource-2'}:
|
|
self.assertEqual(2, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(1, r['min'])
|
|
self.assertEqual(1, r['max'])
|
|
self.assertEqual(2, r['sum'])
|
|
self.assertEqual(1, r['avg'])
|
|
elif grp == {'project_id': 'project-2',
|
|
'resource_id': 'resource-2'}:
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(4, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(4, r['avg'])
|
|
else:
|
|
self.assertNotEqual(grp, {'project_id': 'project-2',
|
|
'resource_id': 'resource-1'})
|
|
|
|
def test_group_by_with_period(self):
|
|
data = self.get_json(self.PATH,
|
|
groupby=['project_id'],
|
|
period=7200)
|
|
groupby_keys_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].keys())
|
|
groupby_vals_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].values())
|
|
self.assertEqual(set(['project_id']), groupby_keys_set)
|
|
self.assertEqual(set(['project-1', 'project-2']), groupby_vals_set)
|
|
period_start_set = set(sub_dict['period_start'] for sub_dict in data)
|
|
period_start_valid = set([u'2013-08-01T10:11:00',
|
|
u'2013-08-01T14:11:00',
|
|
u'2013-08-01T16:11:00'])
|
|
self.assertEqual(period_start_valid, period_start_set)
|
|
|
|
for r in data:
|
|
grp = r['groupby']
|
|
period_start = r['period_start']
|
|
if (grp == {'project_id': 'project-1'} and
|
|
period_start == u'2013-08-01T10:11:00'):
|
|
self.assertEqual(3, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(1, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(6, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
self.assertEqual(4260, r['duration'])
|
|
self.assertEqual(u'2013-08-01T10:11:00', r['duration_start'])
|
|
self.assertEqual(u'2013-08-01T11:22:00', r['duration_end'])
|
|
self.assertEqual(7200, r['period'])
|
|
self.assertEqual(u'2013-08-01T12:11:00', r['period_end'])
|
|
elif (grp == {'project_id': 'project-1'} and
|
|
period_start == u'2013-08-01T14:11:00'):
|
|
self.assertEqual(2, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
self.assertEqual(4260, r['duration'])
|
|
self.assertEqual(u'2013-08-01T14:59:00', r['duration_start'])
|
|
self.assertEqual(u'2013-08-01T16:10:00', r['duration_end'])
|
|
self.assertEqual(7200, r['period'])
|
|
self.assertEqual(u'2013-08-01T16:11:00', r['period_end'])
|
|
elif (grp == {'project_id': 'project-2'} and
|
|
period_start == u'2013-08-01T14:11:00'):
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(2, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
self.assertEqual(0, r['duration'])
|
|
self.assertEqual(u'2013-08-01T15:37:00', r['duration_start'])
|
|
self.assertEqual(u'2013-08-01T15:37:00', r['duration_end'])
|
|
self.assertEqual(7200, r['period'])
|
|
self.assertEqual(u'2013-08-01T16:11:00', r['period_end'])
|
|
elif (grp == {'project_id': 'project-2'} and
|
|
period_start == u'2013-08-01T16:11:00'):
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(4, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(4, r['avg'])
|
|
self.assertEqual(0, r['duration'])
|
|
self.assertEqual(u'2013-08-01T17:28:00', r['duration_start'])
|
|
self.assertEqual(u'2013-08-01T17:28:00', r['duration_end'])
|
|
self.assertEqual(7200, r['period'])
|
|
self.assertEqual(u'2013-08-01T18:11:00', r['period_end'])
|
|
else:
|
|
self.assertNotEqual([grp, period_start],
|
|
[{'project_id': 'project-1'},
|
|
u'2013-08-01T16:11:00'])
|
|
self.assertNotEqual([grp, period_start],
|
|
[{'project_id': 'project-2'},
|
|
u'2013-08-01T10:11:00'])
|
|
|
|
def test_group_by_with_query_filter_and_period(self):
|
|
data = self.get_json(self.PATH,
|
|
q=[{'field': 'source',
|
|
'op': 'eq',
|
|
'value': 'source-1'}],
|
|
groupby=['project_id'],
|
|
period=7200)
|
|
groupby_keys_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].keys())
|
|
groupby_vals_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].values())
|
|
self.assertEqual(set(['project_id']), groupby_keys_set)
|
|
self.assertEqual(set(['project-1', 'project-2']), groupby_vals_set)
|
|
period_start_set = set(sub_dict['period_start'] for sub_dict in data)
|
|
period_start_valid = set([u'2013-08-01T10:11:00',
|
|
u'2013-08-01T14:11:00',
|
|
u'2013-08-01T16:11:00'])
|
|
self.assertEqual(period_start_valid, period_start_set)
|
|
|
|
for r in data:
|
|
grp = r['groupby']
|
|
period_start = r['period_start']
|
|
if (grp == {'project_id': 'project-1'} and
|
|
period_start == u'2013-08-01T10:11:00'):
|
|
self.assertEqual(2, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(1, r['min'])
|
|
self.assertEqual(1, r['max'])
|
|
self.assertEqual(2, r['sum'])
|
|
self.assertEqual(1, r['avg'])
|
|
self.assertEqual(1740, r['duration'])
|
|
self.assertEqual(u'2013-08-01T10:11:00', r['duration_start'])
|
|
self.assertEqual(u'2013-08-01T10:40:00', r['duration_end'])
|
|
self.assertEqual(7200, r['period'])
|
|
self.assertEqual(u'2013-08-01T12:11:00', r['period_end'])
|
|
elif (grp == {'project_id': 'project-1'} and
|
|
period_start == u'2013-08-01T14:11:00'):
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(2, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
self.assertEqual(0, r['duration'])
|
|
self.assertEqual(u'2013-08-01T14:59:00', r['duration_start'])
|
|
self.assertEqual(u'2013-08-01T14:59:00', r['duration_end'])
|
|
self.assertEqual(7200, r['period'])
|
|
self.assertEqual(u'2013-08-01T16:11:00', r['period_end'])
|
|
elif (grp == {'project_id': 'project-2'} and
|
|
period_start == u'2013-08-01T16:11:00'):
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(4, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(4, r['avg'])
|
|
self.assertEqual(0, r['duration'])
|
|
self.assertEqual(u'2013-08-01T17:28:00', r['duration_start'])
|
|
self.assertEqual(u'2013-08-01T17:28:00', r['duration_end'])
|
|
self.assertEqual(7200, r['period'])
|
|
self.assertEqual(u'2013-08-01T18:11:00', r['period_end'])
|
|
else:
|
|
self.assertNotEqual([grp, period_start],
|
|
[{'project_id': 'project-1'},
|
|
u'2013-08-01T16:11:00'])
|
|
self.assertNotEqual([grp, period_start],
|
|
[{'project_id': 'project-2'},
|
|
u'2013-08-01T10:11:00'])
|
|
self.assertNotEqual([grp, period_start],
|
|
[{'project_id': 'project-2'},
|
|
u'2013-08-01T14:11:00'])
|
|
|
|
def test_group_by_start_timestamp_after(self):
|
|
data = self.get_json(self.PATH,
|
|
q=[{'field': 'timestamp',
|
|
'op': 'ge',
|
|
'value': '2013-08-01T17:28:01'}],
|
|
groupby=['project_id'])
|
|
self.assertEqual([], data)
|
|
|
|
def test_group_by_end_timestamp_before(self):
|
|
data = self.get_json(self.PATH,
|
|
q=[{'field': 'timestamp',
|
|
'op': 'le',
|
|
'value': '2013-08-01T10:10:59'}],
|
|
groupby=['project_id'])
|
|
self.assertEqual([], data)
|
|
|
|
def test_group_by_start_timestamp(self):
|
|
data = self.get_json(self.PATH,
|
|
q=[{'field': 'timestamp',
|
|
'op': 'ge',
|
|
'value': '2013-08-01T14:58:00'}],
|
|
groupby=['project_id'])
|
|
groupby_keys_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].keys())
|
|
groupby_vals_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].values())
|
|
self.assertEqual(set(['project_id']), groupby_keys_set)
|
|
self.assertEqual(set(['project-1', 'project-2']), groupby_vals_set)
|
|
|
|
for r in data:
|
|
grp = r['groupby']
|
|
if grp == {'project_id': 'project-1'}:
|
|
self.assertEqual(2, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
elif grp == {'project_id': 'project-2'}:
|
|
self.assertEqual(2, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(6, r['sum'])
|
|
self.assertEqual(3, r['avg'])
|
|
|
|
def test_group_by_end_timestamp(self):
|
|
data = self.get_json(self.PATH,
|
|
q=[{'field': 'timestamp',
|
|
'op': 'le',
|
|
'value': '2013-08-01T11:45:00'}],
|
|
groupby=['project_id'])
|
|
groupby_keys_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].keys())
|
|
groupby_vals_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].values())
|
|
self.assertEqual(set(['project_id']), groupby_keys_set)
|
|
self.assertEqual(set(['project-1']), groupby_vals_set)
|
|
|
|
for r in data:
|
|
grp = r['groupby']
|
|
if grp == {'project_id': 'project-1'}:
|
|
self.assertEqual(3, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(1, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(6, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
|
|
def test_group_by_start_end_timestamp(self):
|
|
data = self.get_json(self.PATH,
|
|
q=[{'field': 'timestamp',
|
|
'op': 'ge',
|
|
'value': '2013-08-01T08:17:03'},
|
|
{'field': 'timestamp',
|
|
'op': 'le',
|
|
'value': '2013-08-01T23:59:59'}],
|
|
groupby=['project_id'])
|
|
groupby_keys_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].keys())
|
|
groupby_vals_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].values())
|
|
self.assertEqual(set(['project_id']), groupby_keys_set)
|
|
self.assertEqual(set(['project-1', 'project-2']), groupby_vals_set)
|
|
|
|
for r in data:
|
|
grp = r['groupby']
|
|
if grp == {'project_id': 'project-1'}:
|
|
self.assertEqual(5, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(1, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(10, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
elif grp == {'project_id': 'project-2'}:
|
|
self.assertEqual(2, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(6, r['sum'])
|
|
self.assertEqual(3, r['avg'])
|
|
|
|
def test_group_by_start_end_timestamp_with_query_filter(self):
|
|
data = self.get_json(self.PATH,
|
|
q=[{'field': 'project_id',
|
|
'op': 'eq',
|
|
'value': 'project-1'},
|
|
{'field': 'timestamp',
|
|
'op': 'ge',
|
|
'value': '2013-08-01T11:01:00'},
|
|
{'field': 'timestamp',
|
|
'op': 'le',
|
|
'value': '2013-08-01T20:00:00'}],
|
|
groupby=['resource_id'])
|
|
groupby_keys_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].keys())
|
|
groupby_vals_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].values())
|
|
self.assertEqual(set(['resource_id']), groupby_keys_set)
|
|
self.assertEqual(set(['resource-1', 'resource-3']), groupby_vals_set)
|
|
|
|
for r in data:
|
|
grp = r['groupby']
|
|
if grp == {'resource_id': 'resource-1'}:
|
|
self.assertEqual(2, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
elif grp == {'resource_id': 'resource-3'}:
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(4, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(4, r['avg'])
|
|
|
|
def test_group_by_start_end_timestamp_with_period(self):
|
|
data = self.get_json(self.PATH,
|
|
q=[{'field': 'timestamp',
|
|
'op': 'ge',
|
|
'value': '2013-08-01T14:00:00'},
|
|
{'field': 'timestamp',
|
|
'op': 'le',
|
|
'value': '2013-08-01T17:00:00'}],
|
|
groupby=['project_id'],
|
|
period=3600)
|
|
groupby_keys_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].keys())
|
|
groupby_vals_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].values())
|
|
self.assertEqual(set(['project_id']), groupby_keys_set)
|
|
self.assertEqual(set(['project-1', 'project-2']), groupby_vals_set)
|
|
period_start_set = set(sub_dict['period_start'] for sub_dict in data)
|
|
period_start_valid = set([u'2013-08-01T14:00:00',
|
|
u'2013-08-01T15:00:00',
|
|
u'2013-08-01T16:00:00'])
|
|
self.assertEqual(period_start_valid, period_start_set)
|
|
|
|
for r in data:
|
|
grp = r['groupby']
|
|
period_start = r['period_start']
|
|
if (grp == {'project_id': 'project-1'} and
|
|
period_start == u'2013-08-01T14:00:00'):
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(2, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
self.assertEqual(0, r['duration'])
|
|
self.assertEqual(u'2013-08-01T14:59:00', r['duration_start'])
|
|
self.assertEqual(u'2013-08-01T14:59:00', r['duration_end'])
|
|
self.assertEqual(3600, r['period'])
|
|
self.assertEqual(u'2013-08-01T15:00:00', r['period_end'])
|
|
elif (grp == {'project_id': 'project-1'} and
|
|
period_start == u'2013-08-01T16:00:00'):
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(2, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
self.assertEqual(0, r['duration'])
|
|
self.assertEqual(u'2013-08-01T16:10:00', r['duration_start'])
|
|
self.assertEqual(u'2013-08-01T16:10:00', r['duration_end'])
|
|
self.assertEqual(3600, r['period'])
|
|
self.assertEqual(u'2013-08-01T17:00:00', r['period_end'])
|
|
elif (grp == {'project_id': 'project-2'} and
|
|
period_start == u'2013-08-01T15:00:00'):
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(2, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
self.assertEqual(0, r['duration'])
|
|
self.assertEqual(u'2013-08-01T15:37:00', r['duration_start'])
|
|
self.assertEqual(u'2013-08-01T15:37:00', r['duration_end'])
|
|
self.assertEqual(3600, r['period'])
|
|
self.assertEqual(u'2013-08-01T16:00:00', r['period_end'])
|
|
else:
|
|
self.assertNotEqual([grp, period_start],
|
|
[{'project_id': 'project-1'},
|
|
u'2013-08-01T15:00:00'])
|
|
self.assertNotEqual([grp, period_start],
|
|
[{'project_id': 'project-2'},
|
|
u'2013-08-01T14:00:00'])
|
|
self.assertNotEqual([grp, period_start],
|
|
[{'project_id': 'project-2'},
|
|
u'2013-08-01T16:00:00'])
|
|
|
|
def test_group_by_start_end_timestamp_with_query_filter_and_period(self):
|
|
data = self.get_json(self.PATH,
|
|
q=[{'field': 'source',
|
|
'op': 'eq',
|
|
'value': 'source-1'},
|
|
{'field': 'timestamp',
|
|
'op': 'ge',
|
|
'value': '2013-08-01T10:00:00'},
|
|
{'field': 'timestamp',
|
|
'op': 'le',
|
|
'value': '2013-08-01T18:00:00'}],
|
|
groupby=['project_id'],
|
|
period=7200)
|
|
groupby_keys_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].keys())
|
|
groupby_vals_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].values())
|
|
self.assertEqual(set(['project_id']), groupby_keys_set)
|
|
self.assertEqual(set(['project-1', 'project-2']), groupby_vals_set)
|
|
period_start_set = set(sub_dict['period_start'] for sub_dict in data)
|
|
period_start_valid = set([u'2013-08-01T10:00:00',
|
|
u'2013-08-01T14:00:00',
|
|
u'2013-08-01T16:00:00'])
|
|
self.assertEqual(period_start_valid, period_start_set)
|
|
|
|
for r in data:
|
|
grp = r['groupby']
|
|
period_start = r['period_start']
|
|
if (grp == {'project_id': 'project-1'} and
|
|
period_start == u'2013-08-01T10:00:00'):
|
|
self.assertEqual(2, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(1, r['min'])
|
|
self.assertEqual(1, r['max'])
|
|
self.assertEqual(2, r['sum'])
|
|
self.assertEqual(1, r['avg'])
|
|
self.assertEqual(1740, r['duration'])
|
|
self.assertEqual(u'2013-08-01T10:11:00', r['duration_start'])
|
|
self.assertEqual(u'2013-08-01T10:40:00', r['duration_end'])
|
|
self.assertEqual(7200, r['period'])
|
|
self.assertEqual(u'2013-08-01T12:00:00', r['period_end'])
|
|
elif (grp == {'project_id': 'project-1'} and
|
|
period_start == u'2013-08-01T14:00:00'):
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(2, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
self.assertEqual(0, r['duration'])
|
|
self.assertEqual(u'2013-08-01T14:59:00', r['duration_start'])
|
|
self.assertEqual(u'2013-08-01T14:59:00', r['duration_end'])
|
|
self.assertEqual(7200, r['period'])
|
|
self.assertEqual(u'2013-08-01T16:00:00', r['period_end'])
|
|
elif (grp == {'project_id': 'project-2'} and
|
|
period_start == u'2013-08-01T16:00:00'):
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(4, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(4, r['avg'])
|
|
self.assertEqual(0, r['duration'])
|
|
self.assertEqual(u'2013-08-01T17:28:00', r['duration_start'])
|
|
self.assertEqual(u'2013-08-01T17:28:00', r['duration_end'])
|
|
self.assertEqual(7200, r['period'])
|
|
self.assertEqual(u'2013-08-01T18:00:00', r['period_end'])
|
|
else:
|
|
self.assertNotEqual([grp, period_start],
|
|
[{'project_id': 'project-1'},
|
|
u'2013-08-01T16:00:00'])
|
|
self.assertNotEqual([grp, period_start],
|
|
[{'project_id': 'project-2'},
|
|
u'2013-08-01T10:00:00'])
|
|
self.assertNotEqual([grp, period_start],
|
|
[{'project_id': 'project-2'},
|
|
u'2013-08-01T14:00:00'])
|
|
|
|
|
|
@tests_db.run_with('mongodb', 'hbase', 'db2')
|
|
class TestGroupBySource(v2.FunctionalTest,
|
|
tests_db.MixinTestsWithBackendScenarios):
|
|
|
|
# FIXME(terriyu): We have to put test_group_by_source in its own class
|
|
# because SQLAlchemy currently doesn't support group by source statistics.
|
|
# When group by source is supported in SQLAlchemy, this test should be
|
|
# moved to TestGroupByInstance with all the other group by statistics
|
|
# tests.
|
|
|
|
PATH = '/meters/instance/statistics'
|
|
|
|
def setUp(self):
|
|
super(TestGroupBySource, self).setUp()
|
|
|
|
test_sample_data = (
|
|
{'volume': 2, 'user': 'user-1', 'project': 'project-1',
|
|
'resource': 'resource-1', 'timestamp': (2013, 8, 1, 16, 10),
|
|
'metadata_flavor': 'm1.tiny', 'metadata_event': 'event-1',
|
|
'source': 'source-2'},
|
|
{'volume': 2, 'user': 'user-1', 'project': 'project-2',
|
|
'resource': 'resource-1', 'timestamp': (2013, 8, 1, 15, 37),
|
|
'metadata_flavor': 'm1.large', 'metadata_event': 'event-1',
|
|
'source': 'source-2'},
|
|
{'volume': 1, 'user': 'user-2', 'project': 'project-1',
|
|
'resource': 'resource-2', 'timestamp': (2013, 8, 1, 10, 11),
|
|
'metadata_flavor': 'm1.tiny', 'metadata_event': 'event-2',
|
|
'source': 'source-1'},
|
|
{'volume': 1, 'user': 'user-2', 'project': 'project-1',
|
|
'resource': 'resource-2', 'timestamp': (2013, 8, 1, 10, 40),
|
|
'metadata_flavor': 'm1.large', 'metadata_event': 'event-2',
|
|
'source': 'source-1'},
|
|
{'volume': 2, 'user': 'user-2', 'project': 'project-1',
|
|
'resource': 'resource-1', 'timestamp': (2013, 8, 1, 14, 59),
|
|
'metadata_flavor': 'm1.large', 'metadata_event': 'event-2',
|
|
'source': 'source-1'},
|
|
{'volume': 4, 'user': 'user-2', 'project': 'project-2',
|
|
'resource': 'resource-2', 'timestamp': (2013, 8, 1, 17, 28),
|
|
'metadata_flavor': 'm1.large', 'metadata_event': 'event-2',
|
|
'source': 'source-1'},
|
|
{'volume': 4, 'user': 'user-3', 'project': 'project-1',
|
|
'resource': 'resource-3', 'timestamp': (2013, 8, 1, 11, 22),
|
|
'metadata_flavor': 'm1.tiny', 'metadata_event': 'event-2',
|
|
'source': 'source-3'},
|
|
)
|
|
|
|
for test_sample in test_sample_data:
|
|
c = sample.Sample(
|
|
'instance',
|
|
sample.TYPE_CUMULATIVE,
|
|
unit='s',
|
|
volume=test_sample['volume'],
|
|
user_id=test_sample['user'],
|
|
project_id=test_sample['project'],
|
|
resource_id=test_sample['resource'],
|
|
timestamp=datetime.datetime(*test_sample['timestamp']),
|
|
resource_metadata={'flavor': test_sample['metadata_flavor'],
|
|
'event': test_sample['metadata_event'], },
|
|
source=test_sample['source'],
|
|
)
|
|
msg = utils.meter_message_from_counter(
|
|
c,
|
|
self.CONF.publisher.metering_secret,
|
|
)
|
|
self.conn.record_metering_data(msg)
|
|
|
|
def tearDown(self):
|
|
self.conn.clear()
|
|
super(TestGroupBySource, self).tearDown()
|
|
|
|
def test_group_by_source(self):
|
|
data = self.get_json(self.PATH, groupby=['source'])
|
|
groupby_keys_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].keys())
|
|
groupby_vals_set = set(x for sub_dict in data
|
|
for x in sub_dict['groupby'].values())
|
|
self.assertEqual(set(['source']), groupby_keys_set)
|
|
self.assertEqual(set(['source-1', 'source-2', 'source-3']),
|
|
groupby_vals_set)
|
|
|
|
for r in data:
|
|
grp = r['groupby']
|
|
if grp == {'source': 'source-1'}:
|
|
self.assertEqual(4, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(1, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(8, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
elif grp == {'source': 'source-2'}:
|
|
self.assertEqual(2, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(2, r['min'])
|
|
self.assertEqual(2, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(2, r['avg'])
|
|
elif grp == {'source': 'source-3'}:
|
|
self.assertEqual(1, r['count'])
|
|
self.assertEqual('s', r['unit'])
|
|
self.assertEqual(4, r['min'])
|
|
self.assertEqual(4, r['max'])
|
|
self.assertEqual(4, r['sum'])
|
|
self.assertEqual(4, r['avg'])
|
|
|
|
|
|
class TestSelectableAggregates(v2.FunctionalTest,
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tests_db.MixinTestsWithBackendScenarios):
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PATH = '/meters/instance/statistics'
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def setUp(self):
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super(TestSelectableAggregates, self).setUp()
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test_sample_data = (
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{'volume': 2, 'user': 'user-1', 'project': 'project-1',
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'resource': 'resource-1', 'timestamp': (2013, 8, 1, 16, 10),
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'metadata_flavor': 'm1.tiny', 'metadata_event': 'event-1',
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'source': 'source'},
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{'volume': 2, 'user': 'user-2', 'project': 'project-2',
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'resource': 'resource-3', 'timestamp': (2013, 8, 1, 15, 37),
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'metadata_flavor': 'm1.large', 'metadata_event': 'event-1',
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'source': 'source'},
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{'volume': 1, 'user': 'user-2', 'project': 'project-2',
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'resource': 'resource-5', 'timestamp': (2013, 8, 1, 10, 11),
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'metadata_flavor': 'm1.medium', 'metadata_event': 'event-2',
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'source': 'source'},
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{'volume': 2, 'user': 'user-1', 'project': 'project-1',
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'resource': 'resource-2', 'timestamp': (2013, 8, 1, 10, 40),
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'metadata_flavor': 'm1.large', 'metadata_event': 'event-2',
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'source': 'source'},
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{'volume': 2, 'user': 'user-2', 'project': 'project-2',
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'resource': 'resource-4', 'timestamp': (2013, 8, 1, 14, 59),
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'metadata_flavor': 'm1.large', 'metadata_event': 'event-2',
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'source': 'source'},
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{'volume': 5, 'user': 'user-1', 'project': 'project-1',
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'resource': 'resource-2', 'timestamp': (2013, 8, 1, 17, 28),
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'metadata_flavor': 'm1.large', 'metadata_event': 'event-2',
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'source': 'source'},
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{'volume': 4, 'user': 'user-2', 'project': 'project-2',
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'resource': 'resource-3', 'timestamp': (2013, 8, 1, 11, 22),
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'metadata_flavor': 'm1.large', 'metadata_event': 'event-2',
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'source': 'source'},
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{'volume': 9, 'user': 'user-3', 'project': 'project-3',
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'resource': 'resource-4', 'timestamp': (2013, 8, 1, 11, 59),
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'metadata_flavor': 'm1.large', 'metadata_event': 'event-3',
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'source': 'source'},
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)
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for test_sample in test_sample_data:
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c = sample.Sample(
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'instance',
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sample.TYPE_GAUGE,
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unit='instance',
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volume=test_sample['volume'],
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user_id=test_sample['user'],
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project_id=test_sample['project'],
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resource_id=test_sample['resource'],
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timestamp=datetime.datetime(*test_sample['timestamp']),
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resource_metadata={'flavor': test_sample['metadata_flavor'],
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'event': test_sample['metadata_event'], },
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source=test_sample['source'],
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)
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msg = utils.meter_message_from_counter(
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c,
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self.CONF.publisher.metering_secret,
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)
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self.conn.record_metering_data(msg)
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def _do_test_per_tenant_selectable_standard_aggregate(self,
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aggregate,
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expected_values):
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agg_args = {'aggregate.func': aggregate}
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data = self.get_json(self.PATH, groupby=['project_id'], **agg_args)
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groupby_keys_set = set(x for sub_dict in data
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for x in sub_dict['groupby'].keys())
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groupby_vals_set = set(x for sub_dict in data
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for x in sub_dict['groupby'].values())
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self.assertEqual(set(['project_id']), groupby_keys_set)
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projects = ['project-1', 'project-2', 'project-3']
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self.assertEqual(set(projects), groupby_vals_set)
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standard_aggregates = set(['count', 'min', 'max', 'sum', 'avg'])
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for r in data:
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grp = r['groupby']
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for project in projects:
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if grp == {'project_id': project}:
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expected = expected_values[projects.index(project)]
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self.assertEqual('instance', r['unit'])
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self.assertAlmostEqual(r[aggregate], expected)
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self.assertIn('aggregate', r)
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self.assertIn(aggregate, r['aggregate'])
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self.assertAlmostEqual(r['aggregate'][aggregate], expected)
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for a in standard_aggregates - set([aggregate]):
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self.assertNotIn(a, r)
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def test_per_tenant_selectable_max(self):
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self._do_test_per_tenant_selectable_standard_aggregate('max',
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[5, 4, 9])
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def test_per_tenant_selectable_min(self):
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self._do_test_per_tenant_selectable_standard_aggregate('min',
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[2, 1, 9])
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def test_per_tenant_selectable_sum(self):
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self._do_test_per_tenant_selectable_standard_aggregate('sum',
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[9, 9, 9])
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def test_per_tenant_selectable_avg(self):
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self._do_test_per_tenant_selectable_standard_aggregate('avg',
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[3, 2.25, 9])
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def test_per_tenant_selectable_count(self):
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self._do_test_per_tenant_selectable_standard_aggregate('count',
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[3, 4, 1])
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def test_per_tenant_selectable_parameterized_aggregate(self):
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agg_args = {'aggregate.func': 'cardinality',
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'aggregate.param': 'resource_id'}
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data = self.get_json(self.PATH, groupby=['project_id'], **agg_args)
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groupby_keys_set = set(x for sub_dict in data
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for x in sub_dict['groupby'].keys())
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groupby_vals_set = set(x for sub_dict in data
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for x in sub_dict['groupby'].values())
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self.assertEqual(set(['project_id']), groupby_keys_set)
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projects = ['project-1', 'project-2', 'project-3']
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self.assertEqual(set(projects), groupby_vals_set)
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aggregate = 'cardinality/resource_id'
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expected_values = [2.0, 3.0, 1.0]
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standard_aggregates = set(['count', 'min', 'max', 'sum', 'avg'])
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for r in data:
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grp = r['groupby']
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for project in projects:
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if grp == {'project_id': project}:
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expected = expected_values[projects.index(project)]
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self.assertEqual('instance', r['unit'])
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self.assertNotIn(aggregate, r)
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self.assertIn('aggregate', r)
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self.assertIn(aggregate, r['aggregate'])
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self.assertEqual(expected, r['aggregate'][aggregate])
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for a in standard_aggregates:
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self.assertNotIn(a, r)
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def test_large_quantum_selectable_parameterized_aggregate(self):
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# add a large number of datapoints that won't impact on cardinality
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# if the computation logic is tolerant of different DB behavior on
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# larger numbers of samples per-period
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for i in xrange(200):
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s = sample.Sample(
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'instance',
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sample.TYPE_GAUGE,
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unit='instance',
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volume=i * 1.0,
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user_id='user-1',
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project_id='project-1',
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resource_id='resource-1',
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timestamp=datetime.datetime(2013, 8, 1, 11, i % 60),
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resource_metadata={'flavor': 'm1.tiny',
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'event': 'event-1', },
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source='source',
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)
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msg = utils.meter_message_from_counter(
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s,
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self.CONF.publisher.metering_secret,
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)
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self.conn.record_metering_data(msg)
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agg_args = {'aggregate.func': 'cardinality',
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'aggregate.param': 'resource_id'}
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data = self.get_json(self.PATH, **agg_args)
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aggregate = 'cardinality/resource_id'
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expected_value = 5.0
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standard_aggregates = set(['count', 'min', 'max', 'sum', 'avg'])
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r = data[0]
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self.assertNotIn(aggregate, r)
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self.assertIn('aggregate', r)
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self.assertIn(aggregate, r['aggregate'])
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self.assertEqual(expected_value, r['aggregate'][aggregate])
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for a in standard_aggregates:
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self.assertNotIn(a, r)
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def test_repeated_unparameterized_aggregate(self):
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agg_params = 'aggregate.func=count&aggregate.func=count'
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data = self.get_json(self.PATH, override_params=agg_params)
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aggregate = 'count'
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expected_value = 8.0
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standard_aggregates = set(['min', 'max', 'sum', 'avg'])
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r = data[0]
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self.assertIn(aggregate, r)
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self.assertEqual(expected_value, r[aggregate])
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self.assertIn('aggregate', r)
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self.assertIn(aggregate, r['aggregate'])
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self.assertEqual(expected_value, r['aggregate'][aggregate])
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for a in standard_aggregates:
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self.assertNotIn(a, r)
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def test_fully_repeated_parameterized_aggregate(self):
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agg_params = ('aggregate.func=cardinality&'
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'aggregate.param=resource_id&'
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'aggregate.func=cardinality&'
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'aggregate.param=resource_id&')
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data = self.get_json(self.PATH, override_params=agg_params)
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aggregate = 'cardinality/resource_id'
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expected_value = 5.0
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standard_aggregates = set(['count', 'min', 'max', 'sum', 'avg'])
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r = data[0]
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self.assertIn('aggregate', r)
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self.assertNotIn(aggregate, r)
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self.assertIn(aggregate, r['aggregate'])
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self.assertEqual(expected_value, r['aggregate'][aggregate])
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for a in standard_aggregates:
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self.assertNotIn(a, r)
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def test_partially_repeated_parameterized_aggregate(self):
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agg_params = ('aggregate.func=cardinality&'
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'aggregate.param=resource_id&'
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'aggregate.func=cardinality&'
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'aggregate.param=project_id&')
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data = self.get_json(self.PATH, override_params=agg_params)
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expected_values = {'cardinality/resource_id': 5.0,
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'cardinality/project_id': 3.0}
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standard_aggregates = set(['count', 'min', 'max', 'sum', 'avg'])
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r = data[0]
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self.assertIn('aggregate', r)
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for aggregate in expected_values.keys():
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self.assertNotIn(aggregate, r)
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self.assertIn(aggregate, r['aggregate'])
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self.assertEqual(expected_values[aggregate],
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r['aggregate'][aggregate])
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for a in standard_aggregates:
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self.assertNotIn(a, r)
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def test_bad_selectable_parameterized_aggregate(self):
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agg_args = {'aggregate.func': 'cardinality',
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'aggregate.param': 'injection_attack'}
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resp = self.get_json(self.PATH, status=[400],
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groupby=['project_id'], **agg_args)
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self.assertIn('error_message', resp)
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self.assertEqual(resp['error_message'].get('faultcode'),
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'Client')
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self.assertEqual(resp['error_message'].get('faultstring'),
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'Bad aggregate: cardinality.injection_attack')
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@tests_db.run_with('mongodb', 'hbase', 'db2')
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class TestUnparameterizedAggregates(v2.FunctionalTest,
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tests_db.MixinTestsWithBackendScenarios):
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# We put the stddev test case in a separate class so that we
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# can easily exclude the sqlalchemy scenario, as sqlite doesn't
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# support the stddev_pop function and fails ungracefully with
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# OperationalError when it is used. However we still want to
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# test the corresponding functionality in the mongo driver.
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# For hbase & db2, the skip on NotImplementedError logic works
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# in the usual way.
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PATH = '/meters/instance/statistics'
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def setUp(self):
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super(TestUnparameterizedAggregates, self).setUp()
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test_sample_data = (
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{'volume': 2, 'user': 'user-1', 'project': 'project-1',
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'resource': 'resource-1', 'timestamp': (2013, 8, 1, 16, 10),
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'metadata_flavor': 'm1.tiny', 'metadata_event': 'event-1',
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'source': 'source'},
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{'volume': 2, 'user': 'user-2', 'project': 'project-2',
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'resource': 'resource-3', 'timestamp': (2013, 8, 1, 15, 37),
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'metadata_flavor': 'm1.large', 'metadata_event': 'event-1',
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'source': 'source'},
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{'volume': 1, 'user': 'user-2', 'project': 'project-2',
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'resource': 'resource-5', 'timestamp': (2013, 8, 1, 10, 11),
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'metadata_flavor': 'm1.medium', 'metadata_event': 'event-2',
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'source': 'source'},
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{'volume': 2, 'user': 'user-1', 'project': 'project-1',
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'resource': 'resource-2', 'timestamp': (2013, 8, 1, 10, 40),
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'metadata_flavor': 'm1.large', 'metadata_event': 'event-2',
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'source': 'source'},
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{'volume': 2, 'user': 'user-2', 'project': 'project-2',
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'resource': 'resource-4', 'timestamp': (2013, 8, 1, 14, 59),
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'metadata_flavor': 'm1.large', 'metadata_event': 'event-2',
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'source': 'source'},
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{'volume': 5, 'user': 'user-1', 'project': 'project-1',
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'resource': 'resource-2', 'timestamp': (2013, 8, 1, 17, 28),
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'metadata_flavor': 'm1.large', 'metadata_event': 'event-2',
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'source': 'source'},
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{'volume': 4, 'user': 'user-2', 'project': 'project-2',
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'resource': 'resource-3', 'timestamp': (2013, 8, 1, 11, 22),
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'metadata_flavor': 'm1.large', 'metadata_event': 'event-2',
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'source': 'source'},
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{'volume': 9, 'user': 'user-3', 'project': 'project-3',
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'resource': 'resource-4', 'timestamp': (2013, 8, 1, 11, 59),
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'metadata_flavor': 'm1.large', 'metadata_event': 'event-3',
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'source': 'source'},
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)
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for test_sample in test_sample_data:
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c = sample.Sample(
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'instance',
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sample.TYPE_GAUGE,
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unit='instance',
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volume=test_sample['volume'],
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user_id=test_sample['user'],
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project_id=test_sample['project'],
|
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resource_id=test_sample['resource'],
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timestamp=datetime.datetime(*test_sample['timestamp']),
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resource_metadata={'flavor': test_sample['metadata_flavor'],
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'event': test_sample['metadata_event'], },
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source=test_sample['source'],
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)
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msg = utils.meter_message_from_counter(
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c,
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self.CONF.publisher.metering_secret,
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)
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self.conn.record_metering_data(msg)
|
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|
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def test_per_tenant_selectable_unparameterized_aggregate(self):
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agg_args = {'aggregate.func': 'stddev'}
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data = self.get_json(self.PATH, groupby=['project_id'], **agg_args)
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groupby_keys_set = set(x for sub_dict in data
|
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for x in sub_dict['groupby'].keys())
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groupby_vals_set = set(x for sub_dict in data
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for x in sub_dict['groupby'].values())
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self.assertEqual(set(['project_id']), groupby_keys_set)
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projects = ['project-1', 'project-2', 'project-3']
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self.assertEqual(set(projects), groupby_vals_set)
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|
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aggregate = 'stddev'
|
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expected_values = [1.4142, 1.0897, 0.0]
|
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standard_aggregates = set(['count', 'min', 'max', 'sum', 'avg'])
|
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for r in data:
|
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grp = r['groupby']
|
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for project in projects:
|
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if grp == {'project_id': project}:
|
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expected = expected_values[projects.index(project)]
|
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self.assertEqual('instance', r['unit'])
|
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self.assertNotIn(aggregate, r)
|
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self.assertIn('aggregate', r)
|
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self.assertIn(aggregate, r['aggregate'])
|
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self.assertAlmostEqual(r['aggregate'][aggregate],
|
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expected,
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|
places=4)
|
|
for a in standard_aggregates:
|
|
self.assertNotIn(a, r)
|