Introduce TaskExecutor
This change introduces new entity in the ActionEngine internals, TaskExecutor. It's responsibilities are simple: take task and it's arguments and execute it or revert it when engine says so. Implements blueprint task-executor Change-Id: I81c63bf4f43342a630f5aa9872fb14776e481176
This commit is contained in:
		@@ -20,6 +20,7 @@ import threading
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from concurrent import futures
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from taskflow.engines.action_engine import executor
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from taskflow.engines.action_engine import graph_action
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from taskflow.engines.action_engine import task_action
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from taskflow.engines import base
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@@ -51,6 +52,7 @@ class ActionEngine(base.EngineBase):
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    """
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    _graph_action_cls = None
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    _task_action_cls = task_action.TaskAction
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    _task_executor_cls = executor.SerialTaskExecutor
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    def __init__(self, flow, flow_detail, backend, conf):
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        super(ActionEngine, self).__init__(flow, flow_detail, backend, conf)
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@@ -59,7 +61,9 @@ class ActionEngine(base.EngineBase):
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        self._state_lock = threading.RLock()
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        self.notifier = misc.TransitionNotifier()
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        self.task_notifier = misc.TransitionNotifier()
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        self._task_executor = self._task_executor_cls()
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        self.task_action = self._task_action_cls(self.storage,
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                                                 self._task_executor,
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                                                 self.task_notifier)
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    def _revert(self, current_failure=None):
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@@ -106,10 +110,14 @@ class ActionEngine(base.EngineBase):
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        missing = self._flow.requires - external_provides
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        if missing:
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            raise exc.MissingDependencies(self._flow, sorted(missing))
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        self._task_executor.start()
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        try:
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            if self.storage.has_failures():
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                self._revert()
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            else:
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                self._run()
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        finally:
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            self._task_executor.stop()
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    def _run(self):
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        self._change_state(states.RUNNING)
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										154
									
								
								taskflow/engines/action_engine/executor.py
									
									
									
									
									
										Normal file
									
								
							
							
						
						
									
										154
									
								
								taskflow/engines/action_engine/executor.py
									
									
									
									
									
										Normal file
									
								
							@@ -0,0 +1,154 @@
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# -*- coding: utf-8 -*-
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# vim: tabstop=4 shiftwidth=4 softtabstop=4
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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 contextlib
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import six
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from concurrent import futures
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from taskflow.utils import misc
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from taskflow.utils import threading_utils
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@contextlib.contextmanager
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def _autobind(task, bind_name, bind_func, **kwargs):
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    try:
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        task.bind(bind_name, bind_func, **kwargs)
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        yield task
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    finally:
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        task.unbind(bind_name, bind_func)
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def _noop(*args, **kwargs):
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    pass
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def _execute_task(task, arguments, progress_callback):
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    with _autobind(task, 'update_progress', progress_callback):
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        try:
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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 = misc.Failure()
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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['result'] = result
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    kwargs['flow_failures'] = failures
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    with _autobind(task, 'update_progress', progress_callback):
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        try:
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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 = misc.Failure()
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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, arguments, progress_callback=_noop):
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        """Schedules task execution."""
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    @abc.abstractmethod
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    def revert_task(self, task, arguments, result, failures,
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                    progress_callback=_noop):
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        """Schedules task reversion"""
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    @abc.abstractmethod
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    def wait_for_any(self, fs):
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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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    @staticmethod
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    def _completed_future(result):
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        future = futures.Future()
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        future.set_result(result)
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        return future
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    def execute_task(self, task, arguments, progress_callback=_noop):
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        return self._completed_future(
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            _execute_task(task, arguments, progress_callback))
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    def revert_task(self, task, arguments, result, failures,
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                    progress_callback=_noop):
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        return self._completed_future(
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            _revert_task(task, arguments, result,
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                         failures, progress_callback))
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    def wait_for_any(self, fs):
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        # NOTE(imelnikov): this executor returns only done futures
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        return fs, []
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class ParallelTaskExecutor(TaskExecutorBase):
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    """Executes tasks in parallel.
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    Submits tasks to executor which should provide interface similar
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    to concurrent.Futures.Executor.
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    """
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    def __init__(self, executor=None):
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        self._executor = executor
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        self._own_executor = executor is None
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    def execute_task(self, task, arguments, progress_callback=_noop):
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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, arguments, result, failures,
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                    progress_callback=_noop):
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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):
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        return futures.wait(fs, return_when=futures.FIRST_COMPLETED)
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    def start(self):
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        if self._own_executor:
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            thread_count = threading_utils.get_optimal_thread_count()
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            self._executor = futures.ThreadPoolExecutor(thread_count)
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    def stop(self):
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        if self._own_executor:
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            self._executor.shutdown(wait=True)
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            self._executor = None
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@@ -16,10 +16,8 @@
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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 contextlib
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import logging
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from taskflow.openstack.common import excutils
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from taskflow import states
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from taskflow.utils import misc
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@@ -28,18 +26,10 @@ LOG = logging.getLogger(__name__)
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SAVE_RESULT_STATES = (states.SUCCESS, states.FAILURE)
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@contextlib.contextmanager
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def _autobind(task, bind_name, bind_func, **kwargs):
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    try:
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        task.bind(bind_name, bind_func, **kwargs)
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        yield task
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    finally:
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        task.unbind(bind_name, bind_func)
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class TaskAction(object):
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    def __init__(self, storage, notifier):
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    def __init__(self, storage, task_executor, notifier):
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        self._storage = storage
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        self._task_executor = task_executor
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        self._notifier = notifier
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    def _change_state(self, task, state, result=None, progress=None):
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@@ -75,27 +65,29 @@ class TaskAction(object):
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    def execute(self, task):
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        if not self._change_state(task, states.RUNNING, progress=0.0):
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            return
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        with _autobind(task, 'update_progress', self._on_update_progress):
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            try:
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                kwargs = self._storage.fetch_mapped_args(task.rebind)
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                result = task.execute(**kwargs)
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            except Exception:
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                failure = misc.Failure()
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                self._change_state(task, states.FAILURE, result=failure)
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                failure.reraise()
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        kwargs = self._storage.fetch_mapped_args(task.rebind)
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        future = self._task_executor.execute_task(task, kwargs,
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                                                  self._on_update_progress)
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        self._task_executor.wait_for_any(future)
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        _task, _event, result = future.result()
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        if isinstance(result, misc.Failure):
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            self._change_state(task, states.FAILURE, result=result)
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            result.reraise()
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        self._change_state(task, states.SUCCESS, result=result, progress=1.0)
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    def revert(self, task):
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        if not self._change_state(task, states.REVERTING, progress=0.0):
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            return
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        with _autobind(task, 'update_progress', self._on_update_progress):
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        kwargs = self._storage.fetch_mapped_args(task.rebind)
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            kwargs['result'] = self._storage.get(task.name)
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            kwargs['flow_failures'] = self._storage.get_failures()
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            try:
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                task.revert(**kwargs)
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            except Exception:
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                with excutils.save_and_reraise_exception():
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        task_result = self._storage.get(task.name)
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        failures = self._storage.get_failures()
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        future = self._task_executor.revert_task(task, kwargs,
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                                                 task_result, failures,
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                                                 self._on_update_progress)
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        self._task_executor.wait_for_any(future)
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        _task, _event, result = future.result()
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        if isinstance(result, misc.Failure):
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            self._change_state(task, states.FAILURE)
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            result.reraise()
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        self._change_state(task, states.REVERTED, progress=1.0)
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