Extend taggable-mixin to support different Tag models.
Usage is pretty simple. Tag model is default in Taggable constructor but you
can call it with different model like GHOPTaskType that inherits from Tag model.
Both Taggable and Tag models have been updated and they don't use hardcoded Tag
model anymore and instead use cls of class methods or self.__class__. In case
of Taggable it's self.__tag_model.
#!/usr/bin/python2.5
#
# Copyright 2009 the Melange authors.
#
# 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.
"""RankerRoot (Model) query functions.
"""
__authors__ = [
'"Lennard de Rijk" <ljvderijk@gmail.com>',
]
from google.appengine.api import datastore
from ranklist.ranker import Ranker
from soc.logic.models import base
import soc.models.ranker_root
class Logic(base.Logic):
"""Logic methods for the RankerRoot model.
"""
def __init__(self, model=soc.models.ranker_root.RankerRoot,
base_model=None, scope_logic=None):
"""Defines the name, key_name and model for this entity.
"""
super(Logic, self).__init__(model=model, base_model=base_model,
scope_logic=scope_logic)
def create(self, name, scope, scores, branching_factor):
"""Creates a new RankerRoot with a new Ranker.
Args:
name: the Link ID of the ranker root
scope: the entity owning the ranker
score_range: A list showing the range of valid scores, in the form:
[most_significant_score_min, most_significant_score_max,
less_significant_score_min, less_significant_score_max, ...]
Ranges are [inclusive, exclusive)
branching_factor: The branching factor of the tree. The number of
datastore Gets is Theta(1/log(branching_factor)), and the amount of data
returned by each Get is Theta(branching_factor).
"""
ranker = Ranker.Create(scores, branching_factor)
fields = {'link_id': name,
'scope': scope,
'scope_path': scope.key().id_or_name(),
'root': ranker.rootkey}
key_name = self.getKeyNameFromFields(fields)
self.updateOrCreateFromKeyName(fields, key_name)
def getRootFromEntity(self, entity):
"""Returns a Ranker object created from a RankerRoot entity.
Args:
entity: A RankerRoot entity which the root should be retrieved of
"""
return Ranker(datastore.Get(entity.key())['root'])
logic = Logic()