Files
python-ganttclient/nova/tests/scheduler/test_least_cost.py
Mark McLoughlin 1573b2794c Remove nova.config.CONF
Modules import nova.config for two reasons right now - firstly, to
reference nova.config.CONF and, secondly, if they use one of the
options defined in nova.config.

Often modules import nova.openstack.common.cfg and nova.config
which is a bit pointless since they could just use cfg.CONF if
they just want to nova.config in order to reference CONF.

Let's just use cfg.CONF everywhere and we can explicitly state
where we actually require options defined in nova.config.

Change-Id: Ie4184a74e3e78c99658becb18dce1c2087e450bb
2012-11-20 00:00:21 +00:00

143 lines
4.9 KiB
Python

# Copyright 2011-2012 OpenStack LLC.
# All Rights Reserved.
#
# 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 Least Cost functions.
"""
from nova import context
from nova.openstack.common import cfg
from nova.scheduler import weights
from nova.scheduler.weights import least_cost
from nova import test
from nova.tests.scheduler import fakes
test_least_cost_opts = [
cfg.FloatOpt('compute_fake_weigher1_weight',
default=2.0,
help='How much weight to give the fake_weigher1 function'),
cfg.FloatOpt('compute_fake_weigher2_weight',
default=1.0,
help='How much weight to give the fake_weigher2 function'),
]
CONF = cfg.CONF
CONF.import_opt('least_cost_functions', 'nova.scheduler.weights.least_cost')
CONF.import_opt('compute_fill_first_cost_fn_weight',
'nova.scheduler.weights.least_cost')
CONF.register_opts(test_least_cost_opts)
def compute_fake_weigher1(hostinfo, options):
return hostinfo.free_ram_mb + 10000
def compute_fake_weigher2(hostinfo, options):
return hostinfo.free_ram_mb * 2
class LeastCostTestCase(test.TestCase):
def setUp(self):
super(LeastCostTestCase, self).setUp()
self.host_manager = fakes.FakeHostManager()
self.weight_handler = weights.HostWeightHandler()
def _get_weighed_host(self, hosts, weight_properties=None):
weigher_classes = least_cost.get_least_cost_weighers()
if weight_properties is None:
weight_properties = {}
return self.weight_handler.get_weighed_objects(weigher_classes,
hosts, weight_properties)[0]
def _get_all_hosts(self):
ctxt = context.get_admin_context()
fakes.mox_host_manager_db_calls(self.mox, ctxt)
self.mox.ReplayAll()
host_states = self.host_manager.get_all_host_states(ctxt)
self.mox.VerifyAll()
self.mox.ResetAll()
return host_states
def test_default_of_spread_first(self):
# Default modifier is -1.0, so it turns out that hosts with
# the most free memory win
hostinfo_list = self._get_all_hosts()
# host1: free_ram_mb=512
# host2: free_ram_mb=1024
# host3: free_ram_mb=3072
# host4: free_ram_mb=8192
# so, host1 should win:
weighed_host = self._get_weighed_host(hostinfo_list)
self.assertEqual(weighed_host.weight, 8192)
self.assertEqual(weighed_host.obj.host, 'host4')
def test_filling_first(self):
self.flags(compute_fill_first_cost_fn_weight=1.0)
hostinfo_list = self._get_all_hosts()
# host1: free_ram_mb=-512
# host2: free_ram_mb=-1024
# host3: free_ram_mb=-3072
# host4: free_ram_mb=-8192
# so, host1 should win:
weighed_host = self._get_weighed_host(hostinfo_list)
self.assertEqual(weighed_host.weight, -512)
self.assertEqual(weighed_host.obj.host, 'host1')
def test_weighted_sum_provided_method(self):
fns = ['nova.tests.scheduler.test_least_cost.compute_fake_weigher1',
'nova.tests.scheduler.test_least_cost.compute_fake_weigher2']
self.flags(least_cost_functions=fns)
hostinfo_list = self._get_all_hosts()
# host1: free_ram_mb=512
# host2: free_ram_mb=1024
# host3: free_ram_mb=3072
# host4: free_ram_mb=8192
# [offset, scale]=
# [10512, 11024, 13072, 18192]
# [1024, 2048, 6144, 16384]
# adjusted [ 2.0 * x + 1.0 * y] =
# [22048, 24096, 32288, 52768]
# so, host1 should win:
weighed_host = self._get_weighed_host(hostinfo_list)
self.assertEqual(weighed_host.weight, 52768)
self.assertEqual(weighed_host.obj.host, 'host4')
def test_weighted_sum_single_function(self):
fns = ['nova.tests.scheduler.test_least_cost.compute_fake_weigher1']
self.flags(least_cost_functions=fns)
hostinfo_list = self._get_all_hosts()
# host1: free_ram_mb=0
# host2: free_ram_mb=1536
# host3: free_ram_mb=3072
# host4: free_ram_mb=8192
# [offset, ]=
# [10512, 11024, 13072, 18192]
# adjusted [ 2.0 * x ]=
# [21024, 22048, 26144, 36384]
# so, host1 should win:
weighed_host = self._get_weighed_host(hostinfo_list)
self.assertEqual(weighed_host.weight, 36384)
self.assertEqual(weighed_host.obj.host, 'host4')