23dfff4105
In order to move away from the existing flows having their own implementation of running, start moving the existing flows to be patterns that only structure tasks (and impose constraints about how the group of tasks can run) in useful ways. Let the concept of running those patterns be handled by an engine instead of being handled by the flow itself. This will allow for varying engines to be able to run flows in whichever way the engine chooses (as long as the constraints set up by the flow are observed). Currently threaded flow and graph flow are broken by this commit, since they have not been converted to being a structure of tasks + constraints. The existing engine has not yet been modified to run those structures either, work is underway to remediate this. Part of: blueprint patterns-and-engines Followup bugs that must be addressed: Bug: 1221448 Bug: 1221505 Change-Id: I3a8b96179f336d1defe269728ebae0caa3d832d7
139 lines
4.1 KiB
Python
139 lines
4.1 KiB
Python
# -*- coding: utf-8 -*-
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# vim: tabstop=4 shiftwidth=4 softtabstop=4
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# Copyright (C) 2012-2013 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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from taskflow import decorators
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from taskflow.patterns import linear_flow
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from taskflow import test
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from taskflow.engines.action_engine import engine as eng
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def _make_engine(flow):
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e = eng.SingleThreadedActionEngine(flow)
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e.compile()
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return e
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class WrapableObjectsTest(test.TestCase):
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def test_simple_function(self):
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values = []
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def revert_one(*args, **kwargs):
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values.append('revert one')
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@decorators.task(revert=revert_one)
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def run_one(*args, **kwargs):
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values.append('one')
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@decorators.task
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def run_fail(*args, **kwargs):
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values.append('fail')
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raise RuntimeError('Woot!')
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flow = linear_flow.Flow('test')
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flow.add(
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run_one,
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run_fail
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)
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with self.assertRaisesRegexp(RuntimeError, '^Woot'):
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e = _make_engine(flow)
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e.run()
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self.assertEquals(values, ['one', 'fail', 'revert one'])
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def test_simple_method(self):
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class MyTasks(object):
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def __init__(self):
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# NOTE(imelnikov): that's really *bad thing* to pass
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# data between task like this; though, its good enough
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# for our testing here
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self.values = []
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@decorators.task
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def run_one(self, *args, **kwargs):
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self.values.append('one')
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@decorators.task
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def run_fail(self, *args, **kwargs):
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self.values.append('fail')
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raise RuntimeError('Woot!')
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tasks = MyTasks()
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flow = linear_flow.Flow('test')
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flow.add(
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tasks.run_one,
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tasks.run_fail
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)
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with self.assertRaisesRegexp(RuntimeError, '^Woot'):
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e = _make_engine(flow)
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e.run()
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self.assertEquals(tasks.values, ['one', 'fail'])
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def test_static_method(self):
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values = []
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class MyTasks(object):
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@decorators.task
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@staticmethod
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def run_one(*args, **kwargs):
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values.append('one')
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# NOTE(imelnikov): decorators should work in any order:
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@staticmethod
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@decorators.task
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def run_fail(*args, **kwargs):
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values.append('fail')
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raise RuntimeError('Woot!')
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flow = linear_flow.Flow('test')
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flow.add(
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MyTasks.run_one,
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MyTasks.run_fail
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)
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with self.assertRaisesRegexp(RuntimeError, '^Woot'):
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e = _make_engine(flow)
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e.run()
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self.assertEquals(values, ['one', 'fail'])
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def test_class_method(self):
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class MyTasks(object):
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values = []
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@decorators.task
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@classmethod
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def run_one(cls, *args, **kwargs):
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cls.values.append('one')
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# NOTE(imelnikov): decorators should work in any order:
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@classmethod
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@decorators.task
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def run_fail(cls, *args, **kwargs):
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cls.values.append('fail')
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raise RuntimeError('Woot!')
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flow = linear_flow.Flow('test')
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flow.add(
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MyTasks.run_one,
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MyTasks.run_fail
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)
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with self.assertRaisesRegexp(RuntimeError, '^Woot'):
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e = _make_engine(flow)
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e.run()
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self.assertEquals(MyTasks.values, ['one', 'fail'])
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