taskflow/taskflow/tests/unit/test_suspend_flow.py

227 lines
7.8 KiB
Python

# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (C) 2012 Yahoo! Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import time
from taskflow.patterns import linear_flow as lf
import taskflow.engines
from taskflow import exceptions as exc
from taskflow import states
from taskflow import task
from taskflow import test
from taskflow.tests import utils
class TestTask(task.Task):
def __init__(self, values=None, name=None, sleep=None,
provides=None, rebind=None, requires=None):
super(TestTask, self).__init__(name=name, provides=provides,
rebind=rebind, requires=requires)
if values is None:
self.values = []
else:
self.values = values
self._sleep = sleep
def execute(self, **kwargs):
self.update_progress(0.0)
if self._sleep:
time.sleep(self._sleep)
self.values.append(self.name)
self.update_progress(1.0)
return 5
def revert(self, **kwargs):
self.update_progress(0)
if self._sleep:
time.sleep(self._sleep)
self.values.append(self.name + ' reverted(%s)'
% kwargs.get('result'))
self.update_progress(1.0)
class FailingTask(TestTask):
def execute(self, **kwargs):
self.update_progress(0)
if self._sleep:
time.sleep(self._sleep)
self.update_progress(0.99)
raise RuntimeError('Woot!')
class AutoSuspendingTask(TestTask):
def execute(self, engine):
result = super(AutoSuspendingTask, self).execute()
engine.suspend()
return result
def revert(self, engine, result, flow_failures):
super(AutoSuspendingTask, self).revert(**{'result': result})
class AutoSuspendingTaskOnRevert(TestTask):
def execute(self, engine):
return super(AutoSuspendingTaskOnRevert, self).execute()
def revert(self, engine, result, flow_failures):
super(AutoSuspendingTaskOnRevert, self).revert(**{'result': result})
engine.suspend()
class SuspendFlowTest(utils.EngineTestBase):
def test_suspend_one_task(self):
flow = AutoSuspendingTask(self.values, 'a')
engine = self._make_engine(flow)
engine.storage.inject({'engine': engine})
engine.run()
self.assertEqual(engine.storage.get_flow_state(), states.SUCCESS)
self.assertEqual(self.values, ['a'])
engine.run()
self.assertEqual(engine.storage.get_flow_state(), states.SUCCESS)
self.assertEqual(self.values, ['a'])
def test_suspend_linear_flow(self):
flow = lf.Flow('linear').add(
TestTask(self.values, 'a'),
AutoSuspendingTask(self.values, 'b'),
TestTask(self.values, 'c')
)
engine = self._make_engine(flow)
engine.storage.inject({'engine': engine})
engine.run()
self.assertEqual(engine.storage.get_flow_state(), states.SUSPENDED)
self.assertEqual(self.values, ['a', 'b'])
engine.run()
self.assertEqual(engine.storage.get_flow_state(), states.SUCCESS)
self.assertEqual(self.values, ['a', 'b', 'c'])
def test_suspend_linear_flow_on_revert(self):
flow = lf.Flow('linear').add(
TestTask(self.values, 'a'),
AutoSuspendingTaskOnRevert(self.values, 'b'),
FailingTask(self.values, 'c')
)
engine = self._make_engine(flow)
engine.storage.inject({'engine': engine})
engine.run()
self.assertEqual(engine.storage.get_flow_state(), states.SUSPENDED)
self.assertEqual(
self.values,
['a', 'b',
'c reverted(Failure: RuntimeError: Woot!)',
'b reverted(5)'])
self.assertRaisesRegexp(RuntimeError, '^Woot', engine.run)
self.assertEqual(engine.storage.get_flow_state(), states.REVERTED)
self.assertEqual(
self.values,
['a',
'b',
'c reverted(Failure: RuntimeError: Woot!)',
'b reverted(5)',
'a reverted(5)'])
def test_suspend_and_resume_linear_flow_on_revert(self):
flow = lf.Flow('linear').add(
TestTask(self.values, 'a'),
AutoSuspendingTaskOnRevert(self.values, 'b'),
FailingTask(self.values, 'c')
)
engine = self._make_engine(flow)
engine.storage.inject({'engine': engine})
engine.run()
# pretend we are resuming
engine2 = self._make_engine(flow, engine.storage._flowdetail)
self.assertRaisesRegexp(RuntimeError, '^Woot', engine2.run)
self.assertEqual(engine2.storage.get_flow_state(), states.REVERTED)
self.assertEqual(
self.values,
['a',
'b',
'c reverted(Failure: RuntimeError: Woot!)',
'b reverted(5)',
'a reverted(5)'])
def test_suspend_and_revert_even_if_task_is_gone(self):
flow = lf.Flow('linear').add(
TestTask(self.values, 'a'),
AutoSuspendingTaskOnRevert(self.values, 'b'),
FailingTask(self.values, 'c')
)
engine = self._make_engine(flow)
engine.storage.inject({'engine': engine})
engine.run()
# pretend we are resuming, but task 'c' gone when flow got updated
flow2 = lf.Flow('linear').add(
TestTask(self.values, 'a'),
AutoSuspendingTaskOnRevert(self.values, 'b')
)
engine2 = self._make_engine(flow2, engine.storage._flowdetail)
self.assertRaisesRegexp(RuntimeError, '^Woot', engine2.run)
self.assertEqual(engine2.storage.get_flow_state(), states.REVERTED)
self.assertEqual(
self.values,
['a',
'b',
'c reverted(Failure: RuntimeError: Woot!)',
'b reverted(5)',
'a reverted(5)'])
def test_storage_is_rechecked(self):
flow = lf.Flow('linear').add(
AutoSuspendingTask(self.values, 'b'),
TestTask(self.values, name='c')
)
engine = self._make_engine(flow)
engine.storage.inject({'engine': engine, 'boo': True})
engine.run()
self.assertEqual(engine.storage.get_flow_state(), states.SUSPENDED)
# uninject engine
engine.storage.save(
engine.storage.get_uuid_by_name(engine.storage.injector_name),
None,
states.FAILURE)
self.assertRaises(exc.MissingDependencies, engine.run)
class SingleThreadedEngineTest(SuspendFlowTest,
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)
class MultiThreadedEngineTest(SuspendFlowTest,
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)