57 lines
1.9 KiB
Python
57 lines
1.9 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (C) 2015 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.DEBUG)
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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.listeners import logging as logging_listener
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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: This example walks through a miniature workflow which will do a
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# simple echo operation; during this execution a listener is associated with
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# the engine to receive all notifications about what the flow has performed,
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# this example dumps that output to the stdout for viewing (at debug level
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# to show all the information which is possible).
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class Echo(task.Task):
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def execute(self):
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print(self.name)
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# Generate the work to be done (but don't do it yet).
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wf = lf.Flow('abc')
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wf.add(Echo('a'))
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wf.add(Echo('b'))
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wf.add(Echo('c'))
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# This will associate the listener with the engine (the listener
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# will automatically register for notifications with the engine and deregister
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# when the context is exited).
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e = engines.load(wf)
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with logging_listener.DynamicLoggingListener(e):
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e.run()
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