Files
deb-python-taskflow/taskflow/engines/action_engine/engine.py
Joshua Harlow 23dfff4105 Engine, task, linear_flow unification
In order to move away from the existing flows having their
own implementation of running, start moving the existing
flows to be  patterns that only structure tasks (and impose
constraints about how the group of tasks can run) in useful
ways.

Let the concept of running those patterns be handled by an
engine instead of being handled by the flow itself. This
will allow for varying engines to be able to run flows in
whichever way the engine chooses (as long as the constraints
set up by the flow are observed).

Currently threaded flow and graph flow are broken by this
commit, since they have not been converted to being a
structure of tasks + constraints. The existing engine has
not yet been modified to run those structures either, work
is underway  to remediate this.

Part of: blueprint patterns-and-engines

Followup bugs that must be addressed:
  Bug: 1221448
  Bug: 1221505

Change-Id: I3a8b96179f336d1defe269728ebae0caa3d832d7
2013-09-05 19:26:36 -07:00

180 lines
5.5 KiB
Python

# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (C) 2012 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 threading
from multiprocessing import pool
from taskflow.engines.action_engine import parallel_action
from taskflow.engines.action_engine import seq_action
from taskflow.engines.action_engine import task_action
from taskflow.patterns import linear_flow as lf
from taskflow.patterns import unordered_flow as uf
from taskflow import exceptions as exc
from taskflow import states
from taskflow import storage as t_storage
from taskflow import task
from taskflow.utils import misc
class ActionEngine(object):
"""Generic action-based engine.
Converts the flow to recursive structure of actions.
"""
def __init__(self, flow, storage):
self._failures = []
self._root = None
self._flow = flow
self._run_lock = threading.RLock()
self.notifier = misc.TransitionNotifier()
self.task_notifier = misc.TransitionNotifier()
self.storage = storage
def _revert(self, current_failure):
self._change_state(states.REVERTING)
self._root.revert(self)
self._change_state(states.REVERTED)
self._change_state(states.FAILURE)
if self._failures:
if len(self._failures) == 1:
self._failures[0].reraise()
else:
exc_infos = [f.exc_info for f in self._failures]
raise exc.LinkedException.link(exc_infos)
else:
current_failure.reraise()
def _reset(self):
self._failures = []
def run(self):
with self._run_lock:
self.compile()
self._reset()
self._change_state(states.RUNNING)
try:
self._root.execute(self)
except Exception:
self._revert(misc.Failure())
else:
self._change_state(states.SUCCESS)
def _change_state(self, state):
self.storage.set_flow_state(state)
details = dict(engine=self)
self.notifier.notify(state, details)
def on_task_state_change(self, task_action, state, result=None):
if isinstance(result, misc.Failure):
self._failures.append(result)
details = dict(engine=self,
task_name=task_action.name,
task_uuid=task_action.uuid,
result=result)
self.task_notifier.notify(state, details)
def compile(self):
if self._root is None:
translator = self.translator_cls(self)
self._root = translator.translate(self._flow)
class Translator(object):
def __init__(self, engine):
self.engine = engine
def _factory_map(self):
return []
def translate(self, pattern):
"""Translates the pattern into an engine runnable action"""
if isinstance(pattern, task.BaseTask):
# Wrap the task into something more useful.
return task_action.TaskAction(pattern, self.engine)
# Decompose the flow into something more useful:
for cls, factory in self._factory_map():
if isinstance(pattern, cls):
return factory(pattern)
raise TypeError('Unknown pattern type: %s (type %s)'
% (pattern, type(pattern)))
class SingleThreadedTranslator(Translator):
def _factory_map(self):
return [(lf.Flow, self._translate_sequential),
(uf.Flow, self._translate_sequential)]
def _translate_sequential(self, pattern):
action = seq_action.SequentialAction()
for p in pattern:
action.add(self.translate(p))
return action
class SingleThreadedActionEngine(ActionEngine):
translator_cls = SingleThreadedTranslator
def __init__(self, flow, flow_detail=None):
ActionEngine.__init__(self, flow,
storage=t_storage.Storage(flow_detail))
class MultiThreadedTranslator(Translator):
def _factory_map(self):
return [(lf.Flow, self._translate_sequential),
# unordered can be run in parallel
(uf.Flow, self._translate_parallel)]
def _translate_sequential(self, pattern):
action = seq_action.SequentialAction()
for p in pattern:
action.add(self.translate(p))
return action
def _translate_parallel(self, pattern):
action = parallel_action.ParallelAction()
for p in pattern:
action.add(self.translate(p))
return action
class MultiThreadedActionEngine(ActionEngine):
translator_cls = MultiThreadedTranslator
def __init__(self, flow, flow_detail=None, thread_pool=None):
ActionEngine.__init__(self, flow,
storage=t_storage.ThreadSafeStorage(flow_detail))
if thread_pool:
self._thread_pool = thread_pool
else:
self._thread_pool = pool.ThreadPool()
@property
def thread_pool(self):
return self._thread_pool