Cleanup WBE example to be simpler to understand
This makes the example simpler to follow and understand when it is using threads, is in one file and just uses the simpler in-memory kombu backend by default (it can still use the file transport if configured to use it). Change-Id: I7fe9758e3285e7f0a610482bf26322841fb22f39
This commit is contained in:

committed by
Joshua Harlow

parent
9c0329bcfa
commit
494003283f
@@ -151,3 +151,15 @@ Controlling retries using a retry controller
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:language: python
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:linenos:
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:lines: 16-
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Distributed execution (simple)
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==============================
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.. note::
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Full source located at :example:`wbe_simple_linear`
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.. literalinclude:: ../../taskflow/examples/wbe_simple_linear.py
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:language: python
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:linenos:
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:lines: 16-
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5
taskflow/examples/wbe_simple_linear.out.txt
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5
taskflow/examples/wbe_simple_linear.out.txt
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@@ -0,0 +1,5 @@
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Running 2 workers.
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Executing some work.
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Execution finished.
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Result = {"result1": 1, "result2": 666, "x": 111, "y": 222, "z": 333}
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Stopping workers.
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146
taskflow/examples/wbe_simple_linear.py
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146
taskflow/examples/wbe_simple_linear.py
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# -*- 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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import json
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import logging
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import os
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import sys
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import tempfile
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import threading
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top_dir = os.path.abspath(os.path.join(os.path.dirname(__file__),
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os.pardir,
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os.pardir))
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sys.path.insert(0, top_dir)
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from taskflow import engines
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from taskflow.engines.worker_based import worker
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from taskflow.patterns import linear_flow as lf
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from taskflow.tests import utils
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import example_utils # noqa
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# INTRO: This example walks through a miniature workflow which shows how to
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# start up a number of workers (these workers will process task execution and
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# reversion requests using any provided input data) and then use an engine
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# that creates a set of *capable* tasks and flows (the engine can not create
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# tasks that the workers are not able to run, this will end in failure) that
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# those workers will run and then executes that workflow seamlessly using the
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# workers to perform the actual execution.
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#
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# NOTE(harlowja): this example simulates the expected larger number of workers
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# by using a set of threads (which in this example simulate the remote workers
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# that would typically be running on other external machines).
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# A filesystem can also be used as the queue transport (useful as simple
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# transport type that does not involve setting up a larger mq system). If this
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# is false then the memory transport is used instead, both work in standalone
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# setups.
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USE_FILESYSTEM = False
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BASE_SHARED_CONF = {
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'exchange': 'taskflow',
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}
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WORKERS = 2
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WORKER_CONF = {
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# These are the tasks the worker can execute, they *must* be importable,
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# typically this list is used to restrict what workers may execute to
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# a smaller set of *allowed* tasks that are known to be safe (one would
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# not want to allow all python code to be executed).
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'tasks': [
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'taskflow.tests.utils:TaskOneArgOneReturn',
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'taskflow.tests.utils:TaskMultiArgOneReturn'
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],
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}
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ENGINE_CONF = {
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'engine': 'worker-based',
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}
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def run(engine_conf):
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flow = lf.Flow('simple-linear').add(
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utils.TaskOneArgOneReturn(provides='result1'),
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utils.TaskMultiArgOneReturn(provides='result2')
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)
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eng = engines.load(flow,
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store=dict(x=111, y=222, z=333),
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engine_conf=engine_conf)
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eng.run()
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return eng.storage.fetch_all()
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if __name__ == "__main__":
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logging.basicConfig(level=logging.ERROR)
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# Setup our transport configuration and merge it into the worker and
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# engine configuration so that both of those use it correctly.
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shared_conf = dict(BASE_SHARED_CONF)
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tmp_path = None
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if USE_FILESYSTEM:
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tmp_path = tempfile.mkdtemp(prefix='wbe-example-')
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shared_conf.update({
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'transport': 'filesystem',
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'transport_options': {
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'data_folder_in': tmp_path,
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'data_folder_out': tmp_path,
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'polling_interval': 0.1,
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},
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})
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else:
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shared_conf.update({
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'transport': 'memory',
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'transport_options': {
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'polling_interval': 0.1,
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},
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})
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worker_conf = dict(WORKER_CONF)
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worker_conf.update(shared_conf)
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engine_conf = dict(ENGINE_CONF)
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engine_conf.update(shared_conf)
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workers = []
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worker_topics = []
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try:
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# Create a set of workers to simulate actual remote workers.
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print('Running %s workers.' % (WORKERS))
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for i in range(0, WORKERS):
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worker_conf['topic'] = 'worker-%s' % (i + 1)
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worker_topics.append(worker_conf['topic'])
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w = worker.Worker(**worker_conf)
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runner = threading.Thread(target=w.run)
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runner.daemon = True
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runner.start()
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w.wait()
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workers.append((runner, w.stop))
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# Now use those workers to do something.
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print('Executing some work.')
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engine_conf['topics'] = worker_topics
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result = run(engine_conf)
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print('Execution finished.')
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# This is done so that the test examples can work correctly
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# even when the keys change order (which will happen in various
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# python versions).
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print("Result = %s" % json.dumps(result, sort_keys=True))
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finally:
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# And cleanup.
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print('Stopping workers.')
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while workers:
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r, stopper = workers.pop()
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stopper()
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r.join()
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if tmp_path:
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example_utils.rm_path(tmp_path)
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@@ -1,61 +0,0 @@
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# -*- 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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import json
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import logging
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import sys
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import taskflow.engines
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from taskflow.patterns import linear_flow as lf
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from taskflow.tests import utils
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LOG = logging.getLogger(__name__)
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if __name__ == "__main__":
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logging.basicConfig(level=logging.ERROR)
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engine_conf = {
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'engine': 'worker-based',
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'exchange': 'taskflow',
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'topics': ['test-topic'],
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}
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# parse command line
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try:
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arg = sys.argv[1]
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except IndexError:
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pass
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else:
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try:
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cfg = json.loads(arg)
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except ValueError:
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engine_conf.update(url=arg)
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else:
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engine_conf.update(cfg)
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finally:
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LOG.debug("Worker configuration: %s\n" %
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json.dumps(engine_conf, sort_keys=True, indent=4))
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# create and run flow
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flow = lf.Flow('simple-linear').add(
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utils.TaskOneArgOneReturn(provides='result1'),
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utils.TaskMultiArgOneReturn(provides='result2')
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)
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eng = taskflow.engines.load(flow,
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store=dict(x=111, y=222, z=333),
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engine_conf=engine_conf)
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eng.run()
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print(json.dumps(eng.storage.fetch_all(), sort_keys=True))
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@@ -1,58 +0,0 @@
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# -*- 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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import json
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import logging
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import sys
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from taskflow.engines.worker_based import worker as w
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LOG = logging.getLogger(__name__)
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if __name__ == "__main__":
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logging.basicConfig(level=logging.ERROR)
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worker_conf = {
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'exchange': 'taskflow',
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'topic': 'test-topic',
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'tasks': [
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'taskflow.tests.utils:TaskOneArgOneReturn',
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'taskflow.tests.utils:TaskMultiArgOneReturn'
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]
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}
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# parse command line
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try:
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arg = sys.argv[1]
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except IndexError:
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pass
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else:
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try:
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cfg = json.loads(arg)
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except ValueError:
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worker_conf.update(url=arg)
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else:
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worker_conf.update(cfg)
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finally:
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LOG.debug("Worker configuration: %s\n" %
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json.dumps(worker_conf, sort_keys=True, indent=4))
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# run worker
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worker = w.Worker(**worker_conf)
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try:
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worker.run()
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except KeyboardInterrupt:
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pass
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@@ -1,6 +0,0 @@
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Run worker.
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Run flow.
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{"result1": 1, "result2": 666, "x": 111, "y": 222, "z": 333}
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Flow finished.
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Stop worker.
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@@ -1,73 +0,0 @@
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# -*- 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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import json
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import os
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import subprocess
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import sys
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import tempfile
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self_dir = os.path.abspath(os.path.dirname(__file__))
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sys.path.insert(0, self_dir)
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import example_utils # noqa
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def _path_to(name):
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return os.path.abspath(os.path.join(os.path.dirname(__file__),
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'worker_based', name))
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def run_test(name, config):
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cmd = [sys.executable, _path_to(name), config]
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process = subprocess.Popen(cmd, stdin=None, stdout=subprocess.PIPE,
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stderr=sys.stderr)
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return process, cmd
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def main():
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tmp_path = None
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try:
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tmp_path = tempfile.mkdtemp(prefix='worker-based-example-')
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config = json.dumps({
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'transport': 'filesystem',
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'transport_options': {
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'data_folder_in': tmp_path,
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'data_folder_out': tmp_path
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}
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})
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print('Run worker.')
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worker_process, _ = run_test('worker.py', config)
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print('Run flow.')
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flow_process, flow_cmd = run_test('flow.py', config)
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stdout, _ = flow_process.communicate()
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rc = flow_process.returncode
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if rc != 0:
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raise RuntimeError("Could not run %s [%s]" % (flow_cmd, rc))
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print(stdout.decode())
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print('Flow finished.')
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print('Stop worker.')
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worker_process.terminate()
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finally:
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if tmp_path is not None:
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example_utils.rm_path(tmp_path)
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if __name__ == '__main__':
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main()
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