Files
python-ganttclient/nova/tests/scheduler/test_least_cost.py
Sandy Walsh db640a36b3 Add auto-reloading JSON config file support to scheduler.
This branch adds the ability to define a local JSON file that will hold
configuration information that the scheduler can use.

This dict will be passed into the filter and weighing functions so that
Operations can tweak the scheduler without having to bring down the scheduler
service.

Currently the polling time on the file is hardcoded at 5 minutes, but certainly
this could be made into a flag.

Next update will be to remove the host_filter and weighing_functions flags
and fix the scheduler to get these values from the config file.

Change-Id: Ia2487e933483761276058689fad84564d96a451e
2011-11-04 04:41:50 -07:00

83 lines
2.7 KiB
Python

# Copyright 2011 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.scheduler import least_cost
from nova.scheduler import zone_manager
from nova import test
from nova.tests.scheduler import fake_zone_manager
def offset(hostinfo, options):
return hostinfo.free_ram_mb + 10000
def scale(hostinfo, options):
return hostinfo.free_ram_mb * 2
class LeastCostTestCase(test.TestCase):
def setUp(self):
super(LeastCostTestCase, self).setUp()
self.flags(reserved_host_disk_mb=0, reserved_host_memory_mb=0)
self.zone_manager = fake_zone_manager.FakeZoneManager()
def tearDown(self):
super(LeastCostTestCase, self).tearDown()
def test_weighted_sum_happy_day(self):
fn_tuples = [(1.0, offset), (1.0, scale)]
hostinfo_list = self.zone_manager.get_all_host_data(None).items()
# host1: free_ram_mb=0
# host2: free_ram_mb=1536
# host3: free_ram_mb=3072
# host4: free_ram_mb=8192
# [offset, scale]=
# [10000, 11536, 13072, 18192]
# [0, 768, 1536, 4096]
# adjusted [ 1.0 * x + 1.0 * y] =
# [10000, 12304, 14608, 22288]
# so, host1 should win:
options = {}
weighted_host = least_cost.weighted_sum(fn_tuples, hostinfo_list,
options)
self.assertEqual(weighted_host.weight, 10000)
self.assertEqual(weighted_host.host, 'host1')
def test_weighted_sum_single_function(self):
fn_tuples = [(1.0, offset), ]
hostinfo_list = self.zone_manager.get_all_host_data(None).items()
# host1: free_ram_mb=0
# host2: free_ram_mb=1536
# host3: free_ram_mb=3072
# host4: free_ram_mb=8192
# [offset, ]=
# [10000, 11536, 13072, 18192]
# so, host1 should win:
options = {}
weighted_host = least_cost.weighted_sum(fn_tuples, hostinfo_list,
options)
self.assertEqual(weighted_host.weight, 10000)
self.assertEqual(weighted_host.host, 'host1')