Files
deb-python-taskflow/taskflow/engines/action_engine/executor.py
Joshua Harlow e168f44979 Rework pieces of the task callback capability
Unifies the bind, unbind, autobind parameters.

Also to make it easier to introspect what are a tasks associated
callbacks and events are provide a listeners_iter() method that
can be used to introspect the registered (event, callbacks) pairs that
are registered with a task.

Also adds more useful docstrings to the various callback associated
binding, unbinding functions to make it more understandable how they
are used and what they are provided.

Also makes the currently only default provided event 'update_progress'
a constant that can be referenced from the task module, which allows others
to easily find it and use it.

Change-Id: I14181a150b74fbd97f6ea976723f37c0ba4cec36
2014-12-06 14:29:24 -08:00

150 lines
4.9 KiB
Python

# -*- coding: utf-8 -*-
# Copyright (C) 2013 Yahoo! Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import abc
import six
from taskflow import task as _task
from taskflow.types import failure
from taskflow.types import futures
from taskflow.utils import async_utils
from taskflow.utils import threading_utils
# Execution and reversion events.
EXECUTED = 'executed'
REVERTED = 'reverted'
def _execute_task(task, arguments, progress_callback):
with task.autobind(_task.EVENT_UPDATE_PROGRESS, progress_callback):
try:
task.pre_execute()
result = task.execute(**arguments)
except Exception:
# NOTE(imelnikov): wrap current exception with Failure
# object and return it.
result = failure.Failure()
finally:
task.post_execute()
return (task, EXECUTED, result)
def _revert_task(task, arguments, result, failures, progress_callback):
kwargs = arguments.copy()
kwargs[_task.REVERT_RESULT] = result
kwargs[_task.REVERT_FLOW_FAILURES] = failures
with task.autobind(_task.EVENT_UPDATE_PROGRESS, progress_callback):
try:
task.pre_revert()
result = task.revert(**kwargs)
except Exception:
# NOTE(imelnikov): wrap current exception with Failure
# object and return it.
result = failure.Failure()
finally:
task.post_revert()
return (task, REVERTED, result)
@six.add_metaclass(abc.ABCMeta)
class TaskExecutorBase(object):
"""Executes and reverts tasks.
This class takes task and its arguments and executes or reverts it.
It encapsulates knowledge on how task should be executed or reverted:
right now, on separate thread, on another machine, etc.
"""
@abc.abstractmethod
def execute_task(self, task, task_uuid, arguments, progress_callback=None):
"""Schedules task execution."""
@abc.abstractmethod
def revert_task(self, task, task_uuid, arguments, result, failures,
progress_callback=None):
"""Schedules task reversion."""
@abc.abstractmethod
def wait_for_any(self, fs, timeout=None):
"""Wait for futures returned by this executor to complete."""
def start(self):
"""Prepare to execute tasks."""
pass
def stop(self):
"""Finalize task executor."""
pass
class SerialTaskExecutor(TaskExecutorBase):
"""Execute task one after another."""
def __init__(self):
self._executor = futures.SynchronousExecutor()
def execute_task(self, task, task_uuid, arguments, progress_callback=None):
return self._executor.submit(_execute_task, task, arguments,
progress_callback)
def revert_task(self, task, task_uuid, arguments, result, failures,
progress_callback=None):
return self._executor.submit(_revert_task, task, arguments, result,
failures, progress_callback)
def wait_for_any(self, fs, timeout=None):
return async_utils.wait_for_any(fs, timeout)
class ParallelTaskExecutor(TaskExecutorBase):
"""Executes tasks in parallel.
Submits tasks to an executor which should provide an interface similar
to concurrent.Futures.Executor.
"""
def __init__(self, executor=None, max_workers=None):
self._executor = executor
self._max_workers = max_workers
self._create_executor = executor is None
def execute_task(self, task, task_uuid, arguments, progress_callback=None):
return self._executor.submit(
_execute_task, task, arguments, progress_callback)
def revert_task(self, task, task_uuid, arguments, result, failures,
progress_callback=None):
return self._executor.submit(
_revert_task, task,
arguments, result, failures, progress_callback)
def wait_for_any(self, fs, timeout=None):
return async_utils.wait_for_any(fs, timeout)
def start(self):
if self._create_executor:
if self._max_workers is not None:
max_workers = self._max_workers
else:
max_workers = threading_utils.get_optimal_thread_count()
self._executor = futures.ThreadPoolExecutor(max_workers)
def stop(self):
if self._create_executor:
self._executor.shutdown(wait=True)
self._executor = None