63646f8cfd
Adds `min_adjustment_step` property to ScalingPolicy resource. It represents the minimum number of resources that are added or removed when AutoScaling group scales up or down. This can be used only when specifying value `percent_change_in_capacity` for `adjustment_type` property. Change-Id: Ia8976e52047ab47245566487ce1872a8890bcff2 Closes-Bug: #1447913
114 lines
5.3 KiB
Python
114 lines
5.3 KiB
Python
#
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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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from heat.engine.resources.aws.autoscaling import autoscaling_group as asc
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from heat.tests import common
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class TestCapacityChanges(common.HeatTestCase):
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# below:
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# n CHANGE_IN_CAPACITY (+up, -down)
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# b bounded
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# r rounded (+up, -down)
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# e EXACT_CAPACITY
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# p PERCENT_CHANGE_IN_CAPACITY
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# s MIN_ADJUSTMENT_STEP
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scenarios = [
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('+n', dict(current=2, adjustment=3,
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adjustment_type=asc.CHANGE_IN_CAPACITY,
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min_adjustment_step=None,
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minimum=0, maximum=10, expected=5)),
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('-n', dict(current=6, adjustment=-2,
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adjustment_type=asc.CHANGE_IN_CAPACITY,
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min_adjustment_step=None,
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minimum=0, maximum=5, expected=4)),
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('+nb', dict(current=2, adjustment=8,
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adjustment_type=asc.CHANGE_IN_CAPACITY,
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min_adjustment_step=None,
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minimum=0, maximum=5, expected=5)),
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('-nb', dict(current=2, adjustment=-10,
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adjustment_type=asc.CHANGE_IN_CAPACITY,
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min_adjustment_step=None,
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minimum=1, maximum=5, expected=1)),
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('e', dict(current=2, adjustment=4,
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adjustment_type=asc.EXACT_CAPACITY,
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min_adjustment_step=None,
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minimum=0, maximum=5, expected=4)),
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('+eb', dict(current=2, adjustment=11,
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adjustment_type=asc.EXACT_CAPACITY,
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min_adjustment_step=None,
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minimum=0, maximum=5, expected=5)),
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('-eb', dict(current=4, adjustment=1,
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adjustment_type=asc.EXACT_CAPACITY,
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min_adjustment_step=None,
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minimum=3, maximum=5, expected=3)),
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('+p', dict(current=4, adjustment=50,
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adjustment_type=asc.PERCENT_CHANGE_IN_CAPACITY,
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min_adjustment_step=None,
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minimum=1, maximum=10, expected=6)),
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('-p', dict(current=4, adjustment=-25,
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adjustment_type=asc.PERCENT_CHANGE_IN_CAPACITY,
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min_adjustment_step=None,
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minimum=1, maximum=10, expected=3)),
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('+pb', dict(current=4, adjustment=100,
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adjustment_type=asc.PERCENT_CHANGE_IN_CAPACITY,
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min_adjustment_step=None,
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minimum=1, maximum=6, expected=6)),
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('-pb', dict(current=6, adjustment=-50,
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adjustment_type=asc.PERCENT_CHANGE_IN_CAPACITY,
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min_adjustment_step=None,
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minimum=4, maximum=10, expected=4)),
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('-p+r', dict(current=2, adjustment=-33,
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adjustment_type=asc.PERCENT_CHANGE_IN_CAPACITY,
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min_adjustment_step=None,
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minimum=0, maximum=10, expected=1)),
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('+p+r', dict(current=1, adjustment=33,
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adjustment_type=asc.PERCENT_CHANGE_IN_CAPACITY,
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min_adjustment_step=None,
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minimum=0, maximum=10, expected=2)),
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('-p-r', dict(current=2, adjustment=-66,
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adjustment_type=asc.PERCENT_CHANGE_IN_CAPACITY,
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min_adjustment_step=None,
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minimum=0, maximum=10, expected=1)),
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('+p-r', dict(current=1, adjustment=225,
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adjustment_type=asc.PERCENT_CHANGE_IN_CAPACITY,
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min_adjustment_step=None,
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minimum=0, maximum=10, expected=3)),
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('+ps', dict(current=1, adjustment=100,
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adjustment_type=asc.PERCENT_CHANGE_IN_CAPACITY,
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min_adjustment_step=3,
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minimum=0, maximum=10, expected=4)),
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('+p+rs', dict(current=1, adjustment=33,
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adjustment_type=asc.PERCENT_CHANGE_IN_CAPACITY,
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min_adjustment_step=2,
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minimum=0, maximum=10, expected=3)),
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('+p-rs', dict(current=1, adjustment=325,
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adjustment_type=asc.PERCENT_CHANGE_IN_CAPACITY,
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min_adjustment_step=2,
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minimum=0, maximum=10, expected=4)),
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('-p-rs', dict(current=3, adjustment=-25,
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adjustment_type=asc.PERCENT_CHANGE_IN_CAPACITY,
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min_adjustment_step=2,
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minimum=0, maximum=10, expected=1)),
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]
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def test_calc(self):
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self.assertEqual(self.expected,
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asc._calculate_new_capacity(
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self.current, self.adjustment,
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self.adjustment_type,
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self.min_adjustment_step,
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self.minimum, self.maximum))
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