Files
deb-python-taskflow/taskflow/tests/unit/worker_based/test_pipeline.py
Joshua Harlow 5780a5d77e Use the features that the oslotest mock base class provides
Instead of having our own mock subclass that has similar functions
as the oslotest base mocking class just use the base class functions
where we can and add on our own customizations as we choose to.

This change moves to using the base classes fixtures and also adjusts
the customized subclass method names to match closer to the rest of
the unittest classes method name style (camel-case not underscores).

Change-Id: If24530c0381d7fb99797acaa582d3be1d7054185
2014-09-27 21:56:05 +00:00

99 lines
3.3 KiB
Python

# -*- coding: utf-8 -*-
# Copyright (C) 2014 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 threading
from concurrent import futures
from taskflow.engines.worker_based import endpoint
from taskflow.engines.worker_based import executor as worker_executor
from taskflow.engines.worker_based import server as worker_server
from taskflow.openstack.common import uuidutils
from taskflow import test
from taskflow.tests import utils as test_utils
from taskflow.utils import misc
TEST_EXCHANGE, TEST_TOPIC = ('test-exchange', 'test-topic')
WAIT_TIMEOUT = 1.0
POLLING_INTERVAL = 0.01
class TestPipeline(test.TestCase):
def _fetch_server(self, task_classes):
endpoints = []
for cls in task_classes:
endpoints.append(endpoint.Endpoint(cls))
server = worker_server.Server(
TEST_TOPIC, TEST_EXCHANGE,
futures.ThreadPoolExecutor(1), endpoints,
transport='memory',
transport_options={
'polling_interval': POLLING_INTERVAL,
})
server_thread = threading.Thread(target=server.start)
server_thread.daemon = True
return (server, server_thread)
def _fetch_executor(self):
executor = worker_executor.WorkerTaskExecutor(
uuidutils.generate_uuid(),
TEST_EXCHANGE,
[TEST_TOPIC],
transport='memory',
transport_options={
'polling_interval': POLLING_INTERVAL,
})
return executor
def _start_components(self, task_classes):
server, server_thread = self._fetch_server(task_classes)
executor = self._fetch_executor()
self.addCleanup(executor.stop)
self.addCleanup(server_thread.join)
self.addCleanup(server.stop)
executor.start()
server_thread.start()
server.wait()
return (executor, server)
def test_execution_pipeline(self):
executor, server = self._start_components([test_utils.TaskOneReturn])
self.assertEqual(0, executor.wait_for_workers(timeout=WAIT_TIMEOUT))
t = test_utils.TaskOneReturn()
f = executor.execute_task(t, uuidutils.generate_uuid(), {})
executor.wait_for_any([f])
t2, _action, result = f.result()
self.assertEqual(1, result)
self.assertEqual(t, t2)
def test_execution_failure_pipeline(self):
task_classes = [
test_utils.TaskWithFailure,
]
executor, server = self._start_components(task_classes)
t = test_utils.TaskWithFailure()
f = executor.execute_task(t, uuidutils.generate_uuid(), {})
executor.wait_for_any([f])
_t2, _action, result = f.result()
self.assertIsInstance(result, misc.Failure)
self.assertEqual(RuntimeError, result.check(RuntimeError))