# Copyright 2017 Cisco Systems # # 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 logging LOG = logging.getLogger(__name__) # A list of features and their supported microversions. Note that these are # explicit functioning versions, not a range. # There should be a minimum of two versions per feature. The first entry in # this list should always be the lowest possible API microversion for a # feature i.e. the version at which that feature was introduced. The second # entry should be the current service version when the feature was added to # horizon. # Further documentation can be found at # https://docs.openstack.org/horizon/latest/contributor/topics/ # microversion_support.html MICROVERSION_FEATURES = { "nova": { "locked_attribute": ["2.9", "2.42"], "instance_description": ["2.19", "2.42"], "remote_console_mks": ["2.8", "2.53"] }, "cinder": { "consistency_groups": ["2.0", "3.10"], "message_list": ["3.5", "3.29"] } } # NOTE(robcresswell): Since each client implements their own wrapper class for # API objects, we'll need to allow that to be passed in. In the future this # should be replaced by some common handling in Oslo. def get_microversion_for_features(service, features, wrapper_class, min_ver, max_ver): """Retrieves that highest known functional microversion for features""" if not features: return None # Convert a single feature string into a list for backward compatiblity. if isinstance(features, str): features = [features] try: service_features = MICROVERSION_FEATURES[service] except KeyError: LOG.debug("'%s' could not be found in the MICROVERSION_FEATURES dict", service) return None feature_versions = set(service_features[features[0]]) for feature in features[1:]: feature_versions &= set(service_features[feature]) if not feature_versions: return None # Sort version candidates from larger versins feature_versions = sorted(feature_versions, reverse=True, key=lambda v: [int(i) for i in v.split('.')]) for version in feature_versions: microversion = wrapper_class(version) if microversion.matches(min_ver, max_ver): return microversion return None