f1c6ac9f2e
It turns out that the ComputeCapabilitiesFilter built-in to Nova doesn't respect capabilities passed in scheduler_hints, so we can't use it for predictable placement. Adding this filter to the undercloud Nova filter list will allow us to do so. Instead of pulling in all of Nova as a test requirement, I've added a fake_nova module to the source tree, which is injected as 'nova' when unit tests are being run. A check is included to make sure nova isn't being imported for real, as well as a README explaining the reasoning behind the fake_nova module. Change-Id: I0618a3b9e3c33af7cdc78db4b6994d463b8aeda9
28 lines
1003 B
Python
28 lines
1003 B
Python
# Copyright 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 nova
|
|
|
|
from tripleo_common.filters import capabilities_filter
|
|
|
|
|
|
def tripleo_filters():
|
|
"""Return a list of filter classes for TripleO
|
|
|
|
This is a wrapper around the Nova all_filters function so we can add our
|
|
filters to the resulting list.
|
|
"""
|
|
nova_filters = nova.scheduler.filters.all_filters()
|
|
return (nova_filters + [capabilities_filter.TripleOCapabilitiesFilter])
|