3c9871d8c3
Internally we should be using the new location and not the deprecated location wherever possible. This avoids emitting warnings messages on our own code, which is a dirty habit. Change-Id: Idac5a772eca7529d92542ada3be1cea092880e25
150 lines
4.9 KiB
Python
150 lines
4.9 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (C) 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 abc
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import six
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from taskflow import task as _task
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from taskflow.types import failure
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from taskflow.types import futures
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from taskflow.utils import async_utils
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from taskflow.utils import threading_utils
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# Execution and reversion events.
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EXECUTED = 'executed'
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REVERTED = 'reverted'
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def _execute_task(task, arguments, progress_callback):
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with task.autobind('update_progress', progress_callback):
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try:
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task.pre_execute()
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result = task.execute(**arguments)
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except Exception:
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# NOTE(imelnikov): wrap current exception with Failure
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# object and return it.
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result = failure.Failure()
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finally:
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task.post_execute()
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return (task, EXECUTED, result)
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def _revert_task(task, arguments, result, failures, progress_callback):
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kwargs = arguments.copy()
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kwargs[_task.REVERT_RESULT] = result
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kwargs[_task.REVERT_FLOW_FAILURES] = failures
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with task.autobind('update_progress', progress_callback):
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try:
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task.pre_revert()
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result = task.revert(**kwargs)
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except Exception:
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# NOTE(imelnikov): wrap current exception with Failure
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# object and return it.
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result = failure.Failure()
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finally:
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task.post_revert()
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return (task, REVERTED, result)
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@six.add_metaclass(abc.ABCMeta)
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class TaskExecutorBase(object):
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"""Executes and reverts tasks.
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This class takes task and its arguments and executes or reverts it.
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It encapsulates knowledge on how task should be executed or reverted:
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right now, on separate thread, on another machine, etc.
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"""
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@abc.abstractmethod
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def execute_task(self, task, task_uuid, arguments, progress_callback=None):
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"""Schedules task execution."""
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@abc.abstractmethod
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def revert_task(self, task, task_uuid, arguments, result, failures,
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progress_callback=None):
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"""Schedules task reversion."""
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@abc.abstractmethod
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def wait_for_any(self, fs, timeout=None):
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"""Wait for futures returned by this executor to complete."""
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def start(self):
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"""Prepare to execute tasks."""
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pass
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def stop(self):
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"""Finalize task executor."""
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pass
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class SerialTaskExecutor(TaskExecutorBase):
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"""Execute task one after another."""
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def __init__(self):
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self._executor = futures.SynchronousExecutor()
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def execute_task(self, task, task_uuid, arguments, progress_callback=None):
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return self._executor.submit(_execute_task, task, arguments,
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progress_callback)
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def revert_task(self, task, task_uuid, arguments, result, failures,
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progress_callback=None):
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return self._executor.submit(_revert_task, task, arguments, result,
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failures, progress_callback)
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def wait_for_any(self, fs, timeout=None):
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return async_utils.wait_for_any(fs, timeout)
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class ParallelTaskExecutor(TaskExecutorBase):
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"""Executes tasks in parallel.
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Submits tasks to an executor which should provide an interface similar
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to concurrent.Futures.Executor.
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"""
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def __init__(self, executor=None, max_workers=None):
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self._executor = executor
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self._max_workers = max_workers
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self._create_executor = executor is None
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def execute_task(self, task, task_uuid, arguments, progress_callback=None):
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return self._executor.submit(
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_execute_task, task, arguments, progress_callback)
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def revert_task(self, task, task_uuid, arguments, result, failures,
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progress_callback=None):
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return self._executor.submit(
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_revert_task, task,
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arguments, result, failures, progress_callback)
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def wait_for_any(self, fs, timeout=None):
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return async_utils.wait_for_any(fs, timeout)
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def start(self):
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if self._create_executor:
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if self._max_workers is not None:
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max_workers = self._max_workers
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else:
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max_workers = threading_utils.get_optimal_thread_count()
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self._executor = futures.ThreadPoolExecutor(max_workers)
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def stop(self):
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if self._create_executor:
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self._executor.shutdown(wait=True)
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self._executor = None
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