67 lines
2.4 KiB
Python
67 lines
2.4 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (C) 2012-2013 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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logging.basicConfig(level=logging.ERROR)
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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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import taskflow.engines
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from taskflow.patterns import linear_flow as lf
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from taskflow import task
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# INTRO: In this example we create two tasks, each of which ~calls~ a given
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# ~phone~ number (provided as a function input) in a linear fashion (one after
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# the other). For a workflow which is serial this shows a extremely simple way
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# of structuring your tasks (the code that does the work) into a linear
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# sequence (the flow) and then passing the work off to an engine, with some
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# initial data to be ran in a reliable manner.
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#
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# NOTE(harlowja): This example shows a basic usage of the taskflow structures
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# without involving the complexity of persistence. Using the structures that
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# taskflow provides via tasks and flows makes it possible for you to easily at
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# a later time hook in a persistence layer (and then gain the functionality
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# that offers) when you decide the complexity of adding that layer in
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# is 'worth it' for your application's usage pattern (which certain
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# applications may not need).
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class CallJim(task.Task):
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def execute(self, jim_number, *args, **kwargs):
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print("Calling jim %s." % jim_number)
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class CallJoe(task.Task):
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def execute(self, joe_number, *args, **kwargs):
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print("Calling joe %s." % joe_number)
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# Create your flow and associated tasks (the work to be done).
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flow = lf.Flow('simple-linear').add(
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CallJim(),
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CallJoe()
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)
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# Now run that flow using the provided initial data (store below).
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taskflow.engines.run(flow, store=dict(joe_number=444,
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jim_number=555))
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