/usr/lib/python2.7/dist-packages/gnocchi/tests/storage/test_carbonara.py is in python-gnocchi 3.0.4-3.
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#
# Copyright © 2015-2016 Red Hat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import datetime
import itertools
import uuid
import mock
import msgpack
import six
from gnocchi import carbonara
from gnocchi import storage
from gnocchi.storage import _carbonara
from gnocchi.tests import base as tests_base
from gnocchi import utils
def _serialize_v2(split):
d = {'values': dict((timestamp.value, float(v))
for timestamp, v
in six.iteritems(split.ts.dropna()))}
return msgpack.dumps(d)
class TestCarbonaraMigration(tests_base.TestCase):
def setUp(self):
super(TestCarbonaraMigration, self).setUp()
if not isinstance(self.storage, _carbonara.CarbonaraBasedStorage):
self.skipTest("This driver is not based on Carbonara")
self.metric = storage.Metric(uuid.uuid4(),
self.archive_policies['low'])
self.storage._create_metric(self.metric)
with mock.patch('gnocchi.carbonara.SplitKey.'
'POINTS_PER_SPLIT', 14400):
bts = carbonara.BoundTimeSerie(
block_size=self.metric.archive_policy.max_block_size,
back_window=self.metric.archive_policy.back_window)
# NOTE: there is a split at 2016-07-18 on granularity 300
values = ((datetime.datetime(2016, 7, 17, 23, 59, 0), 4),
(datetime.datetime(2016, 7, 17, 23, 59, 4), 5),
(datetime.datetime(2016, 7, 17, 23, 59, 9), 6),
(datetime.datetime(2016, 7, 18, 0, 0, 0), 7),
(datetime.datetime(2016, 7, 18, 0, 0, 4), 8),
(datetime.datetime(2016, 7, 18, 0, 0, 9), 9))
def _before_truncate(bound_timeserie):
for d, agg in itertools.product(
self.metric.archive_policy.definition,
['mean', 'max']):
grouped = bound_timeserie.group_serie(
d.granularity, carbonara.round_timestamp(
bound_timeserie.first, d.granularity * 10e8))
aggts = carbonara.AggregatedTimeSerie.from_grouped_serie(
grouped, d.granularity, agg, max_size=d.points)
for key, split in aggts.split():
self.storage._store_metric_measures(
self.metric,
str(key),
agg, d.granularity,
_serialize_v2(split), offset=None, version=None)
bts.set_values(values, before_truncate_callback=_before_truncate)
self.storage._store_unaggregated_timeserie(self.metric,
_serialize_v2(bts),
version=None)
def upgrade(self):
with mock.patch.object(self.index, 'list_metrics') as f:
f.side_effect = [[self.metric], []]
self.storage.upgrade(self.index)
def test_get_measures(self):
with mock.patch.object(
self.storage, '_get_measures_and_unserialize',
side_effect=self.storage._get_measures_and_unserialize_v2):
self.assertEqual([
(utils.datetime_utc(2016, 7, 17), 86400, 5),
(utils.datetime_utc(2016, 7, 18), 86400, 8),
(utils.datetime_utc(2016, 7, 17, 23), 3600, 5),
(utils.datetime_utc(2016, 7, 18, 0), 3600, 8),
(utils.datetime_utc(2016, 7, 17, 23, 55), 300, 5),
(utils.datetime_utc(2016, 7, 18, 0), 300, 8)
], self.storage.get_measures(self.metric))
self.assertEqual([
(utils.datetime_utc(2016, 7, 17), 86400, 6),
(utils.datetime_utc(2016, 7, 18), 86400, 9),
(utils.datetime_utc(2016, 7, 17, 23), 3600, 6),
(utils.datetime_utc(2016, 7, 18, 0), 3600, 9),
(utils.datetime_utc(2016, 7, 17, 23, 55), 300, 6),
(utils.datetime_utc(2016, 7, 18, 0), 300, 9)
], self.storage.get_measures(self.metric, aggregation='max'))
self.upgrade()
self.assertEqual([
(utils.datetime_utc(2016, 7, 17), 86400, 5),
(utils.datetime_utc(2016, 7, 18), 86400, 8),
(utils.datetime_utc(2016, 7, 17, 23), 3600, 5),
(utils.datetime_utc(2016, 7, 18, 0), 3600, 8),
(utils.datetime_utc(2016, 7, 17, 23, 55), 300, 5),
(utils.datetime_utc(2016, 7, 18, 0), 300, 8)
], self.storage.get_measures(self.metric))
self.assertEqual([
(utils.datetime_utc(2016, 7, 17), 86400, 6),
(utils.datetime_utc(2016, 7, 18), 86400, 9),
(utils.datetime_utc(2016, 7, 17, 23), 3600, 6),
(utils.datetime_utc(2016, 7, 18, 0), 3600, 9),
(utils.datetime_utc(2016, 7, 17, 23, 55), 300, 6),
(utils.datetime_utc(2016, 7, 18, 0), 300, 9)
], self.storage.get_measures(self.metric, aggregation='max'))
with mock.patch.object(
self.storage, '_get_measures_and_unserialize',
side_effect=self.storage._get_measures_and_unserialize_v2):
self.assertRaises(
storage.AggregationDoesNotExist,
self.storage.get_measures, self.metric)
self.assertRaises(
storage.AggregationDoesNotExist,
self.storage.get_measures, self.metric, aggregation='max')
self.storage.add_measures(self.metric, [
storage.Measure(utils.datetime_utc(2016, 7, 18), 69),
storage.Measure(utils.datetime_utc(2016, 7, 18, 1, 1), 64),
])
with mock.patch.object(self.index, 'list_metrics') as f:
f.side_effect = [[self.metric], []]
self.storage.process_background_tasks(
self.index, [str(self.metric.id)], sync=True)
self.assertEqual([
(utils.datetime_utc(2016, 7, 17), 86400, 6),
(utils.datetime_utc(2016, 7, 18), 86400, 69),
(utils.datetime_utc(2016, 7, 17, 23), 3600, 6),
(utils.datetime_utc(2016, 7, 18, 0), 3600, 69),
(utils.datetime_utc(2016, 7, 18, 1), 3600, 64),
(utils.datetime_utc(2016, 7, 18, 0), 300, 69),
(utils.datetime_utc(2016, 7, 18, 1), 300, 64)
], self.storage.get_measures(self.metric, aggregation='max'))
def test_upgrade_upgraded_storage(self):
with mock.patch.object(
self.storage, '_get_measures_and_unserialize',
side_effect=self.storage._get_measures_and_unserialize_v2):
self.assertEqual([
(utils.datetime_utc(2016, 7, 17), 86400, 5),
(utils.datetime_utc(2016, 7, 18), 86400, 8),
(utils.datetime_utc(2016, 7, 17, 23), 3600, 5),
(utils.datetime_utc(2016, 7, 18, 0), 3600, 8),
(utils.datetime_utc(2016, 7, 17, 23, 55), 300, 5),
(utils.datetime_utc(2016, 7, 18, 0), 300, 8)
], self.storage.get_measures(self.metric))
self.assertEqual([
(utils.datetime_utc(2016, 7, 17), 86400, 6),
(utils.datetime_utc(2016, 7, 18), 86400, 9),
(utils.datetime_utc(2016, 7, 17, 23), 3600, 6),
(utils.datetime_utc(2016, 7, 18, 0), 3600, 9),
(utils.datetime_utc(2016, 7, 17, 23, 55), 300, 6),
(utils.datetime_utc(2016, 7, 18, 0), 300, 9)
], self.storage.get_measures(self.metric, aggregation='max'))
self.upgrade()
self.upgrade()
self.assertEqual([
(utils.datetime_utc(2016, 7, 17), 86400, 5),
(utils.datetime_utc(2016, 7, 18), 86400, 8),
(utils.datetime_utc(2016, 7, 17, 23), 3600, 5),
(utils.datetime_utc(2016, 7, 18, 0), 3600, 8),
(utils.datetime_utc(2016, 7, 17, 23, 55), 300, 5),
(utils.datetime_utc(2016, 7, 18, 0), 300, 8)
], self.storage.get_measures(self.metric))
self.assertEqual([
(utils.datetime_utc(2016, 7, 17), 86400, 6),
(utils.datetime_utc(2016, 7, 18), 86400, 9),
(utils.datetime_utc(2016, 7, 17, 23), 3600, 6),
(utils.datetime_utc(2016, 7, 18, 0), 3600, 9),
(utils.datetime_utc(2016, 7, 17, 23, 55), 300, 6),
(utils.datetime_utc(2016, 7, 18, 0), 300, 9)
], self.storage.get_measures(self.metric, aggregation='max'))
def test_delete_metric_not_upgraded(self):
# Make sure that we delete everything (e.g. objects + container)
# correctly even if the metric has not been upgraded.
self.storage.delete_metric(self.metric)
self.assertEqual([], self.storage.get_measures(self.metric))
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