38a9908be4
Make decorator code lean and mean by employing FunctorTask to implement them. This results in: - making everything we call 'task' to provide same interface; - encouraging distinction between task classes and task instances; - code becoming simpler. Implements: blueprint refactor-decorators Change-Id: I43f4ae2db2b7a20f294e2f2d91d53e151a60b139
128 lines
3.9 KiB
Python
128 lines
3.9 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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import unittest2
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from taskflow import decorators
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from taskflow.patterns import linear_flow
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class WrapableObjectsTest(unittest2.TestCase):
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def test_simple_function(self):
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values = []
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def revert_one(self, *args, **kwargs):
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values.append('revert one')
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@decorators.task(revert_with=revert_one)
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def run_one(self, *args, **kwargs):
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values.append('one')
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@decorators.task
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def run_fail(self, *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_many((
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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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flow.run(None)
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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_many((
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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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flow.run(None)
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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_many((
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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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flow.run(None)
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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_many((
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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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flow.run(None)
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self.assertEquals(MyTasks.values, ['one', 'fail'])
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