To avoid having one set of options coming from `engine_conf` and another set of options coming from `kwargs` and another set coming from `engine_conf` if it is a URI just start to shift toward `engine_conf` being deprecated and `engine` being a string type only (or a URI with additional query parameters) and having any additional **kwargs that are provided just get merged into the final engine options. This adds a new helper function that handles all these various options and adds in a keyword argument `engine` that will be shifted to in a future version (in that future version we can also then remove the `engine_conf` and just stick to a smaller set of option mechanisms). It also adjusts all examples to use this new and more easier to understand format and adjusts tests, conductor interface to use this new more easily understandable style of getting an engine. Change-Id: Ic7617057338e0c63775cf38a24643cff6e454950
90 lines
2.8 KiB
Python
90 lines
2.8 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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import logging
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import os
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import sys
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from concurrent import futures
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logging.basicConfig(level=logging.ERROR)
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self_dir = os.path.abspath(os.path.dirname(__file__))
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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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sys.path.insert(0, self_dir)
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# INTRO: in this example linear_flow we will attach a listener to an engine
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# and delay the return from a function until after the result of a task has
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# occurred in that engine. The engine will continue running (in the background)
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# while the function will have returned.
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import taskflow.engines
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from taskflow.listeners import base
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from taskflow.patterns import linear_flow as lf
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from taskflow import states
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from taskflow import task
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from taskflow.utils import misc
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class PokeFutureListener(base.ListenerBase):
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def __init__(self, engine, future, task_name):
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super(PokeFutureListener, self).__init__(
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engine,
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task_listen_for=(misc.Notifier.ANY,),
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flow_listen_for=[])
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self._future = future
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self._task_name = task_name
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def _task_receiver(self, state, details):
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if state in (states.SUCCESS, states.FAILURE):
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if details.get('task_name') == self._task_name:
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if state == states.SUCCESS:
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self._future.set_result(details['result'])
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else:
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failure = details['result']
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self._future.set_exception(failure.exception)
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class Hi(task.Task):
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def execute(self):
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# raise IOError("I broken")
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return 'hi'
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class Bye(task.Task):
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def execute(self):
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return 'bye'
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def return_from_flow(pool):
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wf = lf.Flow("root").add(Hi("hi"), Bye("bye"))
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eng = taskflow.engines.load(wf, engine='serial')
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f = futures.Future()
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watcher = PokeFutureListener(eng, f, 'hi')
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watcher.register()
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pool.submit(eng.run)
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return (eng, f.result())
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with futures.ThreadPoolExecutor(1) as pool:
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engine, hi_result = return_from_flow(pool)
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print(hi_result)
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print(engine.storage.get_flow_state())
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