0b31828a01
This strategy now allow us to create action plans with an explicit set of actions. Co-Authored-By: Mikhail Kizilov <kizilov.mikhail@gmail.com> Change-Id: I7b04b9936ce5f3b5b38f319da7f8737e0f3eea88 Closes-Bug: #1659243
38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
# -*- encoding: utf-8 -*-
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# Copyright (c) 2017 b<>com
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import mock
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from watcher.common import utils
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from watcher.decision_engine.strategy import strategies
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from watcher.tests import base
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class TestActuator(base.TestCase):
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def setUp(self):
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super(TestActuator, self).setUp()
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# fake cluster
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self.strategy = strategies.Actuator(config=mock.Mock())
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def test_actuator_strategy(self):
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fake_action = {"action_type": "TEST", "input_parameters": {"a": "b"}}
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self.strategy.input_parameters = utils.Struct(
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{"actions": [fake_action]})
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solution = self.strategy.execute()
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self.assertEqual(1, len(solution.actions))
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self.assertEqual([fake_action], solution.actions)
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