e7508eb8e5
* duplicated tests were removed * common tasks moved to utils Change-Id: I69c91a264ec668b1333db8fd907298262af098cb
569 lines
23 KiB
Python
569 lines
23 KiB
Python
# -*- coding: utf-8 -*-
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# vim: tabstop=4 shiftwidth=4 softtabstop=4
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# Copyright (C) 2012 Yahoo! Inc. 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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import contextlib
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import networkx
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from concurrent import futures
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from taskflow.patterns import graph_flow as gf
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from taskflow.patterns import linear_flow as lf
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from taskflow.patterns import unordered_flow as uf
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import taskflow.engines
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from taskflow.engines.action_engine import engine as eng
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from taskflow.persistence import logbook
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from taskflow import states
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from taskflow import test
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from taskflow.tests import utils
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from taskflow.utils import persistence_utils as p_utils
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class EngineTaskTest(utils.EngineTestBase):
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def test_run_task_as_flow(self):
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flow = utils.SaveOrderTask(self.values, name='task1')
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engine = self._make_engine(flow)
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engine.run()
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self.assertEquals(self.values, ['task1'])
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@staticmethod
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def _callback(state, values, details):
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name = details.get('task_name', '<unknown>')
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values.append('%s %s' % (name, state))
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@staticmethod
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def _flow_callback(state, values, details):
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values.append('flow %s' % state)
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def test_run_task_with_notifications(self):
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flow = utils.SaveOrderTask(self.values, name='task1')
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engine = self._make_engine(flow)
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engine.notifier.register('*', self._flow_callback,
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kwargs={'values': self.values})
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engine.task_notifier.register('*', self._callback,
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kwargs={'values': self.values})
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engine.run()
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self.assertEquals(self.values,
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['flow RUNNING',
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'task1 RUNNING',
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'task1',
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'task1 SUCCESS',
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'flow SUCCESS'])
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def test_failing_task_with_notifications(self):
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flow = utils.FailingTask(self.values, 'fail')
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engine = self._make_engine(flow)
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engine.notifier.register('*', self._flow_callback,
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kwargs={'values': self.values})
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engine.task_notifier.register('*', self._callback,
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kwargs={'values': self.values})
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with self.assertRaisesRegexp(RuntimeError, '^Woot'):
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engine.run()
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self.assertEquals(
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self.values,
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['flow RUNNING',
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'fail RUNNING',
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'fail FAILURE',
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'flow FAILURE',
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'flow REVERTING',
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'fail REVERTING',
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'fail reverted(Failure: RuntimeError: Woot!)',
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'fail REVERTED',
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'fail PENDING',
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'flow REVERTED'])
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def test_invalid_flow_raises(self):
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value = 'i am string, not task/flow, sorry'
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with self.assertRaises(TypeError) as err:
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engine = self._make_engine(value)
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engine.compile()
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self.assertIn(value, str(err.exception))
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def test_invalid_flow_raises_from_run(self):
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value = 'i am string, not task/flow, sorry'
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with self.assertRaises(TypeError) as err:
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engine = self._make_engine(value)
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engine.run()
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self.assertIn(value, str(err.exception))
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class EngineLinearFlowTest(utils.EngineTestBase):
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def test_sequential_flow_one_task(self):
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flow = lf.Flow('flow-1').add(
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utils.SaveOrderTask(self.values, name='task1')
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)
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self._make_engine(flow).run()
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self.assertEquals(self.values, ['task1'])
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def test_sequential_flow_two_tasks(self):
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flow = lf.Flow('flow-2').add(
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utils.SaveOrderTask(self.values, name='task1'),
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utils.SaveOrderTask(self.values, name='task2')
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)
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self._make_engine(flow).run()
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self.assertEquals(self.values, ['task1', 'task2'])
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self.assertEquals(len(flow), 2)
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def test_revert_removes_data(self):
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flow = lf.Flow('revert-removes').add(
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utils.TaskOneReturn(provides='one'),
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utils.TaskMultiReturn(provides=('a', 'b', 'c')),
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utils.FailingTask(name='fail')
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)
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engine = self._make_engine(flow)
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with self.assertRaisesRegexp(RuntimeError, '^Woot'):
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engine.run()
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self.assertEquals(engine.storage.fetch_all(), {})
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def test_sequential_flow_nested_blocks(self):
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flow = lf.Flow('nested-1').add(
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utils.SaveOrderTask(self.values, 'task1'),
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lf.Flow('inner-1').add(
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utils.SaveOrderTask(self.values, 'task2')
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)
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)
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self._make_engine(flow).run()
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self.assertEquals(self.values, ['task1', 'task2'])
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def test_revert_exception_is_reraised(self):
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flow = lf.Flow('revert-1').add(
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utils.NastyTask(),
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utils.FailingTask(name='fail')
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)
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engine = self._make_engine(flow)
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with self.assertRaisesRegexp(RuntimeError, '^Gotcha'):
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engine.run()
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def test_revert_not_run_task_is_not_reverted(self):
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flow = lf.Flow('revert-not-run').add(
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utils.FailingTask(self.values, 'fail'),
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utils.NeverRunningTask(),
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)
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engine = self._make_engine(flow)
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with self.assertRaisesRegexp(RuntimeError, '^Woot'):
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engine.run()
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self.assertEquals(
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self.values,
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['fail reverted(Failure: RuntimeError: Woot!)'])
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def test_correctly_reverts_children(self):
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flow = lf.Flow('root-1').add(
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utils.SaveOrderTask(self.values, 'task1'),
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lf.Flow('child-1').add(
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utils.SaveOrderTask(self.values, 'task2'),
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utils.FailingTask(self.values, 'fail')
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)
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)
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engine = self._make_engine(flow)
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with self.assertRaisesRegexp(RuntimeError, '^Woot'):
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engine.run()
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self.assertEquals(
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self.values,
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['task1', 'task2',
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'fail reverted(Failure: RuntimeError: Woot!)',
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'task2 reverted(5)', 'task1 reverted(5)'])
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class EngineParallelFlowTest(utils.EngineTestBase):
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def test_parallel_flow_one_task(self):
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flow = uf.Flow('p-1').add(
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utils.SaveOrderTask(self.values, name='task1', sleep=0.01)
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)
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self._make_engine(flow).run()
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self.assertEquals(self.values, ['task1'])
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def test_parallel_flow_two_tasks(self):
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flow = uf.Flow('p-2').add(
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utils.SaveOrderTask(self.values, name='task1', sleep=0.01),
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utils.SaveOrderTask(self.values, name='task2', sleep=0.01)
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)
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self._make_engine(flow).run()
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result = set(self.values)
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self.assertEquals(result, set(['task1', 'task2']))
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self.assertEquals(len(flow), 2)
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def test_parallel_revert_common(self):
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flow = uf.Flow('p-r-3').add(
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utils.TaskNoRequiresNoReturns(name='task1'),
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utils.FailingTask(sleep=0.01),
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utils.TaskNoRequiresNoReturns(name='task2')
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)
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engine = self._make_engine(flow)
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with self.assertRaisesRegexp(RuntimeError, '^Woot'):
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engine.run()
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def test_parallel_revert_exception_is_reraised(self):
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# NOTE(imelnikov): if we put NastyTask and FailingTask
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# into the same unordered flow, it is not guaranteed
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# that NastyTask execution would be attempted before
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# FailingTask fails.
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flow = lf.Flow('p-r-r-l').add(
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uf.Flow('p-r-r').add(
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utils.TaskNoRequiresNoReturns(name='task1'),
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utils.NastyTask()
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),
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utils.FailingTask(self.values, sleep=0.1)
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)
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engine = self._make_engine(flow)
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with self.assertRaisesRegexp(RuntimeError, '^Gotcha'):
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engine.run()
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def test_sequential_flow_two_tasks_with_resumption(self):
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flow = lf.Flow('lf-2-r').add(
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utils.SaveOrderTask(self.values, name='task1', provides='x1'),
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utils.SaveOrderTask(self.values, name='task2', provides='x2')
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)
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# Create FlowDetail as if we already run task1
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_lb, fd = p_utils.temporary_flow_detail(self.backend)
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td = logbook.TaskDetail(name='task1', uuid='42')
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td.state = states.SUCCESS
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td.results = 17
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fd.add(td)
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with contextlib.closing(self.backend.get_connection()) as conn:
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fd.update(conn.update_flow_details(fd))
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td.update(conn.update_task_details(td))
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engine = self._make_engine(flow, fd)
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engine.run()
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self.assertEquals(self.values, ['task2'])
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self.assertEquals(engine.storage.fetch_all(),
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{'x1': 17, 'x2': 5})
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def test_parallel_revert_specific(self):
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flow = uf.Flow('p-r-r').add(
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utils.SaveOrderTask(self.values, name='task1', sleep=0.01),
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utils.FailingTask(sleep=0.01),
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utils.SaveOrderTask(self.values, name='task2', sleep=0.01)
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)
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engine = self._make_engine(flow)
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with self.assertRaisesRegexp(RuntimeError, '^Woot'):
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engine.run()
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result = set(self.values)
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# NOTE(harlowja): task 1/2 may or may not have executed, even with the
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# sleeps due to the fact that the above is an unordered flow.
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possible_result = set(['task1', 'task2',
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'task2 reverted(5)', 'task1 reverted(5)'])
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self.assertIsSubset(possible_result, result)
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def test_parallel_revert_exception_is_reraised_(self):
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flow = lf.Flow('p-r-reraise').add(
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utils.SaveOrderTask(self.values, name='task1', sleep=0.01),
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utils.NastyTask(),
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utils.FailingTask(sleep=0.01),
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utils.SaveOrderTask(self.values,
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name='task2') # this should not get reverted
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)
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engine = self._make_engine(flow)
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with self.assertRaisesRegexp(RuntimeError, '^Gotcha'):
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engine.run()
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result = set(self.values)
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self.assertEquals(result, set(['task1']))
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def test_nested_parallel_revert_exception_is_reraised(self):
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flow = uf.Flow('p-root').add(
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utils.SaveOrderTask(self.values, name='task1'),
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utils.SaveOrderTask(self.values, name='task2'),
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lf.Flow('p-inner').add(
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utils.SaveOrderTask(self.values, name='task3', sleep=0.1),
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utils.NastyTask(),
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utils.FailingTask(sleep=0.01)
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)
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)
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engine = self._make_engine(flow)
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with self.assertRaisesRegexp(RuntimeError, '^Gotcha'):
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engine.run()
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result = set(self.values)
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# Task1, task2 may *not* have executed and also may have *not* reverted
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# since the above is an unordered flow so take that into account by
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# ensuring that the superset is matched.
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possible_result = set(['task1', 'task1 reverted(5)',
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'task2', 'task2 reverted(5)',
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'task3', 'task3 reverted(5)'])
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self.assertIsSubset(possible_result, result)
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def test_parallel_revert_exception_do_not_revert_linear_tasks(self):
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flow = lf.Flow('l-root').add(
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utils.SaveOrderTask(self.values, name='task1'),
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utils.SaveOrderTask(self.values, name='task2'),
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uf.Flow('p-inner').add(
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utils.SaveOrderTask(self.values, name='task3', sleep=0.1),
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utils.NastyTask(),
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utils.FailingTask(sleep=0.01)
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)
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)
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engine = self._make_engine(flow)
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# Depending on when (and if failing task) is executed the exception
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# raised could be either woot or gotcha since the above unordered
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# sub-flow does not guarantee that the ordering will be maintained,
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# even with sleeping.
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was_nasty = False
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try:
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engine.run()
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self.assertTrue(False)
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except RuntimeError as e:
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self.assertRegexpMatches(str(e), '^Gotcha|^Woot')
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if 'Gotcha!' in str(e):
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was_nasty = True
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result = set(self.values)
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possible_result = set(['task1', 'task2',
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'task3', 'task3 reverted(5)'])
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if not was_nasty:
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possible_result.update(['task1 reverted(5)', 'task2 reverted(5)'])
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self.assertIsSubset(possible_result, result)
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# If the nasty task killed reverting, then task1 and task2 should not
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# have reverted, but if the failing task stopped execution then task1
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# and task2 should have reverted.
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if was_nasty:
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must_not_have = ['task1 reverted(5)', 'task2 reverted(5)']
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for r in must_not_have:
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self.assertNotIn(r, result)
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else:
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must_have = ['task1 reverted(5)', 'task2 reverted(5)']
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for r in must_have:
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self.assertIn(r, result)
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def test_parallel_nested_to_linear_revert(self):
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flow = lf.Flow('l-root').add(
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utils.SaveOrderTask(self.values, name='task1'),
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utils.SaveOrderTask(self.values, name='task2'),
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uf.Flow('p-inner').add(
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utils.SaveOrderTask(self.values, name='task3', sleep=0.1),
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utils.FailingTask(sleep=0.01)
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)
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)
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engine = self._make_engine(flow)
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with self.assertRaisesRegexp(RuntimeError, '^Woot'):
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engine.run()
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result = set(self.values)
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# Task3 may or may not have executed, depending on scheduling and
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# task ordering selection, so it may or may not exist in the result set
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possible_result = set(['task1', 'task1 reverted(5)',
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'task2', 'task2 reverted(5)',
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'task3', 'task3 reverted(5)'])
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self.assertIsSubset(possible_result, result)
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# These must exist, since the linearity of the linear flow ensures
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# that they were executed first.
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must_have = ['task1', 'task1 reverted(5)',
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'task2', 'task2 reverted(5)']
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for r in must_have:
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self.assertIn(r, result)
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def test_linear_nested_to_parallel_revert(self):
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flow = uf.Flow('p-root').add(
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utils.SaveOrderTask(self.values, name='task1'),
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utils.SaveOrderTask(self.values, name='task2'),
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lf.Flow('l-inner').add(
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utils.SaveOrderTask(self.values, name='task3', sleep=0.1),
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utils.FailingTask(self.values, name='fail', sleep=0.01)
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)
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)
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engine = self._make_engine(flow)
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with self.assertRaisesRegexp(RuntimeError, '^Woot'):
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engine.run()
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result = set(self.values)
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# Since this is an unordered flow we can not guarantee that task1 or
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# task2 will exist and be reverted, although they may exist depending
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# on how the OS thread scheduling and execution graph algorithm...
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possible_result = set([
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'task1', 'task1 reverted(5)',
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'task2', 'task2 reverted(5)',
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'task3', 'task3 reverted(5)',
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'fail reverted(Failure: RuntimeError: Woot!)'
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])
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self.assertIsSubset(possible_result, result)
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def test_linear_nested_to_parallel_revert_exception(self):
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flow = uf.Flow('p-root').add(
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utils.SaveOrderTask(self.values, name='task1', sleep=0.01),
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utils.SaveOrderTask(self.values, name='task2', sleep=0.01),
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lf.Flow('l-inner').add(
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utils.SaveOrderTask(self.values, name='task3'),
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utils.NastyTask(),
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utils.FailingTask(sleep=0.01)
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)
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)
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engine = self._make_engine(flow)
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with self.assertRaisesRegexp(RuntimeError, '^Gotcha'):
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engine.run()
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result = set(self.values)
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possible_result = set(['task1', 'task1 reverted(5)',
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'task2', 'task2 reverted(5)',
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'task3'])
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self.assertIsSubset(possible_result, result)
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class EngineGraphFlowTest(utils.EngineTestBase):
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def test_graph_flow_one_task(self):
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flow = gf.Flow('g-1').add(
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utils.SaveOrderTask(self.values, name='task1')
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)
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self._make_engine(flow).run()
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self.assertEquals(self.values, ['task1'])
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def test_graph_flow_two_independent_tasks(self):
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flow = gf.Flow('g-2').add(
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utils.SaveOrderTask(self.values, name='task1'),
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utils.SaveOrderTask(self.values, name='task2')
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)
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self._make_engine(flow).run()
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self.assertEquals(set(self.values), set(['task1', 'task2']))
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self.assertEquals(len(flow), 2)
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def test_graph_flow_two_tasks(self):
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flow = gf.Flow('g-1-1').add(
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utils.SaveOrderTask(self.values, name='task2', requires=['a']),
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utils.SaveOrderTask(self.values, name='task1', provides='a')
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)
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self._make_engine(flow).run()
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self.assertEquals(self.values, ['task1', 'task2'])
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def test_graph_flow_four_tasks_added_separately(self):
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flow = (gf.Flow('g-4')
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.add(utils.SaveOrderTask(self.values, name='task4',
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provides='d', requires=['c']))
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.add(utils.SaveOrderTask(self.values, name='task2',
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provides='b', requires=['a']))
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.add(utils.SaveOrderTask(self.values, name='task3',
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provides='c', requires=['b']))
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.add(utils.SaveOrderTask(self.values, name='task1',
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provides='a'))
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)
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self._make_engine(flow).run()
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self.assertEquals(self.values, ['task1', 'task2', 'task3', 'task4'])
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def test_graph_flow_four_tasks_revert(self):
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flow = gf.Flow('g-4-failing').add(
|
|
utils.SaveOrderTask(self.values, name='task4',
|
|
provides='d', requires=['c']),
|
|
utils.SaveOrderTask(self.values, name='task2',
|
|
provides='b', requires=['a']),
|
|
utils.FailingTask(self.values, name='task3',
|
|
provides='c', requires=['b']),
|
|
utils.SaveOrderTask(self.values, name='task1', provides='a'))
|
|
|
|
engine = self._make_engine(flow)
|
|
with self.assertRaisesRegexp(RuntimeError, '^Woot'):
|
|
engine.run()
|
|
self.assertEquals(
|
|
self.values,
|
|
['task1', 'task2',
|
|
'task3 reverted(Failure: RuntimeError: Woot!)',
|
|
'task2 reverted(5)', 'task1 reverted(5)'])
|
|
|
|
def test_graph_flow_four_tasks_revert_failure(self):
|
|
flow = gf.Flow('g-3-nasty').add(
|
|
utils.NastyTask(name='task2', provides='b', requires=['a']),
|
|
utils.FailingTask(self.values, name='task3', requires=['b']),
|
|
utils.SaveOrderTask(self.values, name='task1', provides='a'))
|
|
|
|
engine = self._make_engine(flow)
|
|
with self.assertRaisesRegexp(RuntimeError, '^Gotcha'):
|
|
engine.run()
|
|
|
|
def test_graph_flow_with_multireturn_and_multiargs_tasks(self):
|
|
flow = gf.Flow('g-3-multi').add(
|
|
utils.TaskMultiArgOneReturn(name='task1',
|
|
rebind=['a', 'b', 'y'], provides='z'),
|
|
utils.TaskMultiReturn(name='task2', provides=['a', 'b', 'c']),
|
|
utils.TaskMultiArgOneReturn(name='task3',
|
|
rebind=['c', 'b', 'x'], provides='y'))
|
|
|
|
engine = self._make_engine(flow)
|
|
engine.storage.inject({'x': 30})
|
|
engine.run()
|
|
self.assertEquals(engine.storage.fetch_all(), {
|
|
'a': 1,
|
|
'b': 3,
|
|
'c': 5,
|
|
'x': 30,
|
|
'y': 38,
|
|
'z': 42
|
|
})
|
|
|
|
def test_task_graph_property(self):
|
|
flow = gf.Flow('test').add(
|
|
utils.TaskNoRequiresNoReturns(name='task1'),
|
|
utils.TaskNoRequiresNoReturns(name='task2'))
|
|
|
|
engine = self._make_engine(flow)
|
|
graph = engine.execution_graph
|
|
self.assertTrue(isinstance(graph, networkx.DiGraph))
|
|
|
|
def test_task_graph_property_for_one_task(self):
|
|
flow = utils.TaskNoRequiresNoReturns(name='task1')
|
|
|
|
engine = self._make_engine(flow)
|
|
graph = engine.execution_graph
|
|
self.assertTrue(isinstance(graph, networkx.DiGraph))
|
|
|
|
|
|
class SingleThreadedEngineTest(EngineTaskTest,
|
|
EngineLinearFlowTest,
|
|
EngineParallelFlowTest,
|
|
EngineGraphFlowTest,
|
|
test.TestCase):
|
|
def _make_engine(self, flow, flow_detail=None):
|
|
return taskflow.engines.load(flow,
|
|
flow_detail=flow_detail,
|
|
engine_conf='serial',
|
|
backend=self.backend)
|
|
|
|
def test_correct_load(self):
|
|
engine = self._make_engine(utils.TaskNoRequiresNoReturns)
|
|
self.assertIsInstance(engine, eng.SingleThreadedActionEngine)
|
|
|
|
def test_singlethreaded_is_the_default(self):
|
|
engine = taskflow.engines.load(utils.TaskNoRequiresNoReturns)
|
|
self.assertIsInstance(engine, eng.SingleThreadedActionEngine)
|
|
|
|
|
|
class MultiThreadedEngineTest(EngineTaskTest,
|
|
EngineLinearFlowTest,
|
|
EngineParallelFlowTest,
|
|
EngineGraphFlowTest,
|
|
test.TestCase):
|
|
def _make_engine(self, flow, flow_detail=None, executor=None):
|
|
engine_conf = dict(engine='parallel',
|
|
executor=executor)
|
|
return taskflow.engines.load(flow, flow_detail=flow_detail,
|
|
engine_conf=engine_conf,
|
|
backend=self.backend)
|
|
|
|
def test_correct_load(self):
|
|
engine = self._make_engine(utils.TaskNoRequiresNoReturns)
|
|
self.assertIsInstance(engine, eng.MultiThreadedActionEngine)
|
|
self.assertIs(engine.executor, None)
|
|
|
|
def test_using_common_executor(self):
|
|
flow = utils.TaskNoRequiresNoReturns(name='task1')
|
|
executor = futures.ThreadPoolExecutor(2)
|
|
try:
|
|
e1 = self._make_engine(flow, executor=executor)
|
|
e2 = self._make_engine(flow, executor=executor)
|
|
self.assertIs(e1.executor, e2.executor)
|
|
finally:
|
|
executor.shutdown(wait=True)
|