6c3c0fc8ff
The nova solver scheduler was designed to be a drop-in patch for nova, and it uses 'nova' as the directory now, however it's easier to manage the project as an individual python package, therefore we want to move the top directory out to a separate one, which is called 'nova_solverscheduler'. This patch will modify the module import dependencies and also add necessary init files so as to turn the project into a complete python package. Change-Id: I62550c84f157db398da5edbef514832e1351f66f
44 lines
1.7 KiB
Python
44 lines
1.7 KiB
Python
# Copyright (c) 2014 Cisco Systems, Inc.
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# All Rights Reserved.
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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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from nova import test
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from nova_solverscheduler.scheduler.solvers.constraints import no_constraint
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from nova_solverscheduler.tests.scheduler import solver_scheduler_fakes \
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as fakes
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class TestNoConstraint(test.NoDBTestCase):
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def setUp(self):
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super(TestNoConstraint, self).setUp()
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self.constraint_cls = no_constraint.NoConstraint
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self._generate_fake_constraint_input()
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def _generate_fake_constraint_input(self):
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self.fake_filter_properties = {
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'instance_uuids': ['fake_uuid_%s' % x for x in range(3)],
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'num_instances': 3}
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host1 = fakes.FakeSolverSchedulerHostState('host1', 'node1', {})
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host2 = fakes.FakeSolverSchedulerHostState('host2', 'node1', {})
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self.fake_hosts = [host1, host2]
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def test_get_constraint_matrix(self):
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expected_cons_mat = [
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[True, True, True],
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[True, True, True]]
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cons_mat = self.constraint_cls().get_constraint_matrix(
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self.fake_hosts, self.fake_filter_properties)
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self.assertEqual(expected_cons_mat, cons_mat)
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