Task results are saved on success and passed to revert method on revert. If task failed (execute method raised an exception), special object of type taskflow.utils.misc.Failure is created and saved as task result to indicate that. To store results Storage class is introduced. As for now it is simple tiny wrapper of a dictionary, but future plans include rewriting it using persistence API and adding more sophisticated functionality. Change-Id: Ic806421a3780653602d8879c33fdf655950a6804
61 lines
1.9 KiB
Python
61 lines
1.9 KiB
Python
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# -*- coding: utf-8 -*-
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# vim: tabstop=4 shiftwidth=4 softtabstop=4
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# Copyright (C) 2012 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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from taskflow.engines.action_engine import seq_action
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from taskflow.engines.action_engine import task_action
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from taskflow import blocks
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from taskflow import states
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from taskflow import storage
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class ActionEngine(object):
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"""Generic action-based engine
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Converts the flow to recursive structure of actions.
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"""
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def __init__(self, flow, action_map):
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self._action_map = action_map
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self._root = self._to_action(flow)
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self.storage = storage.Storage()
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def _to_action(self, pattern):
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try:
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factory = self._action_map[type(pattern)]
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except KeyError:
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raise ValueError('Action of unknown type: %s (type %s)'
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% (pattern, type(pattern)))
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return factory(pattern, self._to_action)
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def run(self):
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status = self._root.execute(self)
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if status == states.FAILURE:
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self._root.revert(self)
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class SingleThreadedActionEngine(ActionEngine):
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def __init__(self, flow):
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ActionEngine.__init__(self, flow, {
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blocks.Task: task_action.TaskAction,
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blocks.LinearFlow: seq_action.SequentialAction,
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blocks.ParallelFlow: seq_action.SequentialAction
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})
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