cinder/cinder/tests/unit/scheduler/test_stochastic_weight_handler.py
Eric Harney d4eb4a9ba1 Move unit test code under tests/unit/
test.py was previously not in the tests
directory.  This means that downstream packagers
of Cinder have to specifically exclude it from
the main Cinder package (which does not typically
include unit tests).

Move it under the cinder/tests/unit/ dir where it
should be, to clean this up.

Change-Id: I65c50722f5990f540d84fa361b997302bbc935c5
2020-04-30 18:13:54 -04:00

63 lines
2.0 KiB
Python

#
# 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.
"""Tests for stochastic weight handler."""
import random
import ddt
from cinder.scheduler import base_weight
from cinder.scheduler.weights.stochastic import StochasticHostWeightHandler
from cinder.tests.unit import test
@ddt.ddt
class StochasticWeightHandlerTestCase(test.TestCase):
"""Test case for StochasticHostWeightHandler."""
@ddt.data(
(0.0, 'A'),
(0.1, 'A'),
(0.2, 'B'),
(0.3, 'B'),
(0.4, 'B'),
(0.5, 'B'),
(0.6, 'B'),
(0.7, 'C'),
(0.8, 'C'),
(0.9, 'C'),
)
@ddt.unpack
def test_get_weighed_objects_correct(self, rand_value, expected_obj):
self.mock_object(random,
'random',
return_value=rand_value)
class MapWeigher(base_weight.BaseWeigher):
minval = 0
maxval = 100
def _weigh_object(self, obj, weight_map):
return weight_map[obj]
weight_map = {'A': 1, 'B': 3, 'C': 2}
objs = sorted(weight_map.keys())
weigher_classes = [MapWeigher]
handler = StochasticHostWeightHandler('fake_namespace')
weighted_objs = handler.get_weighed_objects(weigher_classes,
objs,
weight_map)
winner = weighted_objs[0].obj
self.assertEqual(expected_obj, winner)