72 lines
		
	
	
		
			2.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			72 lines
		
	
	
		
			2.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# Copyright (c) 2011-2012 OpenStack Foundation
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# All Rights Reserved.
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#
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#    Licensed under the Apache License, Version 2.0 (the "License"); you may
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#    not use this file except in compliance with the License. You may obtain
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#    a copy of the License at
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#
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#         http://www.apache.org/licenses/LICENSE-2.0
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#
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#    Unless required by applicable law or agreed to in writing, software
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#    distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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#    WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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#    License for the specific language governing permissions and limitations
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#    under the License.
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"""
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Pluggable Weighing support
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"""
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from nova import loadables
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class WeighedObject(object):
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    """Object with weight information."""
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    def __init__(self, obj, weight):
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        self.obj = obj
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        self.weight = weight
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    def __repr__(self):
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        return "<WeighedObject '%s': %s>" % (self.obj, self.weight)
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class BaseWeigher(object):
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    """Base class for pluggable weighers."""
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    def _weight_multiplier(self):
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        """How weighted this weigher should be.  Normally this would
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        be overridden in a subclass based on a config value.
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        """
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        return 1.0
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    def _weigh_object(self, obj, weight_properties):
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        """Override in a subclass to specify a weight for a specific
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        object.
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        """
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        return 0.0
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    def weigh_objects(self, weighed_obj_list, weight_properties):
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        """Weigh multiple objects.  Override in a subclass if you need
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        need access to all objects in order to manipulate weights.
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        """
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        for obj in weighed_obj_list:
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            obj.weight += (self._weight_multiplier() *
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                           self._weigh_object(obj.obj, weight_properties))
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class BaseWeightHandler(loadables.BaseLoader):
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    object_class = WeighedObject
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    def get_weighed_objects(self, weigher_classes, obj_list,
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            weighing_properties):
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        """Return a sorted (highest score first) list of WeighedObjects."""
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        if not obj_list:
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            return []
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        weighed_objs = [self.object_class(obj, 0.0) for obj in obj_list]
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        for weigher_cls in weigher_classes:
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            weigher = weigher_cls()
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            weigher.weigh_objects(weighed_objs, weighing_properties)
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        return sorted(weighed_objs, key=lambda x: x.weight, reverse=True)
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