4e514f41e5
The reflection module is now part of oslo.utils so we should remove our local version and use that version instead; this also goes for the uuidutils module which is now part of oslo.utils as well so we no longer need our local version copied from the incubator... Note that one reflection method `find_subclasses` which was to specific to taskflow is now moved to the misc utility module instead of its prior home in the reflection module. Change-Id: I069881c80b0b2916cc0c414992b80171f7eeb79f
102 lines
3.7 KiB
Python
102 lines
3.7 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (C) 2014 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 concurrent import futures
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from oslo.utils import uuidutils
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from taskflow.engines.action_engine import executor as base_executor
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from taskflow.engines.worker_based import endpoint
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from taskflow.engines.worker_based import executor as worker_executor
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from taskflow.engines.worker_based import server as worker_server
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from taskflow import test
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from taskflow.tests import utils as test_utils
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from taskflow.types import failure
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from taskflow.utils import threading_utils
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TEST_EXCHANGE, TEST_TOPIC = ('test-exchange', 'test-topic')
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WAIT_TIMEOUT = 1.0
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POLLING_INTERVAL = 0.01
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class TestPipeline(test.TestCase):
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def _fetch_server(self, task_classes):
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endpoints = []
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for cls in task_classes:
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endpoints.append(endpoint.Endpoint(cls))
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server = worker_server.Server(
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TEST_TOPIC, TEST_EXCHANGE,
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futures.ThreadPoolExecutor(1), endpoints,
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transport='memory',
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transport_options={
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'polling_interval': POLLING_INTERVAL,
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})
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server_thread = threading_utils.daemon_thread(server.start)
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return (server, server_thread)
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def _fetch_executor(self):
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executor = worker_executor.WorkerTaskExecutor(
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uuidutils.generate_uuid(),
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TEST_EXCHANGE,
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[TEST_TOPIC],
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transport='memory',
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transport_options={
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'polling_interval': POLLING_INTERVAL,
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})
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return executor
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def _start_components(self, task_classes):
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server, server_thread = self._fetch_server(task_classes)
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executor = self._fetch_executor()
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self.addCleanup(executor.stop)
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self.addCleanup(server_thread.join)
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self.addCleanup(server.stop)
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executor.start()
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server_thread.start()
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server.wait()
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return (executor, server)
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def test_execution_pipeline(self):
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executor, server = self._start_components([test_utils.TaskOneReturn])
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self.assertEqual(0, executor.wait_for_workers(timeout=WAIT_TIMEOUT))
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t = test_utils.TaskOneReturn()
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progress_callback = lambda *args, **kwargs: None
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f = executor.execute_task(t, uuidutils.generate_uuid(), {},
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progress_callback=progress_callback)
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executor.wait_for_any([f])
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event, result = f.result()
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self.assertEqual(1, result)
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self.assertEqual(base_executor.EXECUTED, event)
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def test_execution_failure_pipeline(self):
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task_classes = [
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test_utils.TaskWithFailure,
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]
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executor, server = self._start_components(task_classes)
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t = test_utils.TaskWithFailure()
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progress_callback = lambda *args, **kwargs: None
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f = executor.execute_task(t, uuidutils.generate_uuid(), {},
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progress_callback=progress_callback)
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executor.wait_for_any([f])
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action, result = f.result()
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self.assertIsInstance(result, failure.Failure)
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self.assertEqual(RuntimeError, result.check(RuntimeError))
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self.assertEqual(base_executor.EXECUTED, action)
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