mogan/mogan/scheduler/node_manager.py

147 lines
5.4 KiB
Python

# Copyright (c) 2011 OpenStack Foundation
# 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.
"""
Manage nodes.
"""
from oslo_config import cfg
from oslo_log import log as logging
from oslo_utils import importutils
from mogan.common import exception
from mogan import objects
from mogan.scheduler import filters
CONF = cfg.CONF
LOG = logging.getLogger(__name__)
class NodeState(object):
"""Mutable and immutable information tracked for a Ironic node."""
def __init__(self, node):
self.node_uuid = node.node_uuid
self.capabilities = node.extra_specs
self.availability_zone = node.availability_zone \
or CONF.engine.default_availability_zone
self.flavor = node.resource_class
self.ports = node.ports
def consume_from_request(self, context):
"""Consume the compute node."""
objects.ComputeNode.consume_node(context, self.node_uuid)
def __repr__(self):
return "<Node:%s resource_class:%s>" % (self.node_uuid, self.flavor)
class NodeManager(object):
"""Base NodeManager class."""
node_state_cls = NodeState
def __init__(self):
self.filter_handler = filters.NodeFilterHandler(
'mogan.scheduler.filters')
self.filter_classes = self.filter_handler.get_all_classes()
self.weight_handler = importutils.import_object(
CONF.scheduler.scheduler_weight_handler,
'mogan.scheduler.weights')
self.weight_classes = self.weight_handler.get_all_classes()
def _choose_node_filters(self, filter_cls_names):
"""Return a list of available filter names.
This function checks input filter names against a predefined set
of acceptable filterss (all loaded filters). If input is None,
it uses CONF.scheduler_default_filters instead.
"""
if filter_cls_names is None:
filter_cls_names = CONF.scheduler.scheduler_default_filters
if not isinstance(filter_cls_names, (list, tuple)):
filter_cls_names = [filter_cls_names]
good_filters = []
bad_filters = []
for filter_name in filter_cls_names:
found_class = False
for cls in self.filter_classes:
if cls.__name__ == filter_name:
found_class = True
good_filters.append(cls)
break
if not found_class:
bad_filters.append(filter_name)
if bad_filters:
raise exception.SchedulerNodeFilterNotFound(
filter_name=", ".join(bad_filters))
return good_filters
def _choose_node_weighers(self, weight_cls_names):
"""Return a list of available weigher names.
This function checks input weigher names against a predefined set
of acceptable weighers (all loaded weighers). If input is None,
it uses CONF.scheduler_default_weighers instead.
"""
if weight_cls_names is None:
weight_cls_names = CONF.scheduler.scheduler_default_weighers
if not isinstance(weight_cls_names, (list, tuple)):
weight_cls_names = [weight_cls_names]
good_weighers = []
bad_weighers = []
for weigher_name in weight_cls_names:
found_class = False
for cls in self.weight_classes:
if cls.__name__ == weigher_name:
good_weighers.append(cls)
found_class = True
break
if not found_class:
bad_weighers.append(weigher_name)
if bad_weighers:
raise exception.SchedulerNodeWeigherNotFound(
weigher_name=", ".join(bad_weighers))
return good_weighers
def get_filtered_nodes(self, nodes, filter_properties,
filter_class_names=None):
"""Filter nodes and return only ones passing all filters."""
filter_classes = self._choose_node_filters(filter_class_names)
return self.filter_handler.get_filtered_objects(filter_classes,
nodes,
filter_properties)
def get_weighed_nodes(self, nodes, weight_properties,
weigher_class_names=None):
"""Weigh the nodes."""
weigher_classes = self._choose_node_weighers(weigher_class_names)
return self.weight_handler.get_weighed_objects(weigher_classes,
nodes,
weight_properties)
def get_all_node_states(self, context):
"""Returns a list of all the nodes the NodeManager knows about."""
nodes = objects.ComputeNodeList.get_all_available(context)
node_states = []
for node in nodes:
node_state = self.node_state_cls(node)
node_states.append(node_state)
return node_states