c543dc2066
Instead of creating daemon threads using the threads module directly use our small utility file to create the daemon thread on our behalf and set the appropriate attributes to ensure it's a daemon thread. This change replaces the existing locations where we were doing this manually and uses the threading_utils helper function uniformly instead. Change-Id: I535cee8a63407f753cf812df53c4f5bc83e0c9ae
97 lines
3.3 KiB
Python
97 lines
3.3 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 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.openstack.common import uuidutils
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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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f = executor.execute_task(t, uuidutils.generate_uuid(), {})
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executor.wait_for_any([f])
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t2, _action, result = f.result()
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self.assertEqual(1, result)
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self.assertEqual(t, t2)
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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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f = executor.execute_task(t, uuidutils.generate_uuid(), {})
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executor.wait_for_any([f])
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_t2, _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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