taskflow/taskflow/engines/action_engine/engine.py

220 lines
7.5 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 concurrent import futures
from taskflow.engines.action_engine import graph_action
from taskflow.engines.action_engine import task_action
from taskflow.engines import base
from taskflow import exceptions as exc
from taskflow.openstack.common import excutils
from taskflow.openstack.common import uuidutils
from taskflow import states
from taskflow import storage as t_storage
from taskflow.utils import flow_utils
from taskflow.utils import lock_utils
from taskflow.utils import misc
from taskflow.utils import reflection
from taskflow.utils import threading_utils
class ActionEngine(base.EngineBase):
"""Generic action-based engine.
Converts the flow to recursive structure of actions.
"""
_graph_action = None
def __init__(self, flow, flow_detail, backend, conf):
super(ActionEngine, self).__init__(flow, flow_detail, backend, conf)
self._failures = {} # task uuid => failure
self._root = None
self._lock = threading.RLock()
self._state_lock = threading.RLock()
self.notifier = misc.TransitionNotifier()
self.task_notifier = misc.TransitionNotifier()
def _revert(self, current_failure=None):
self._change_state(states.REVERTING)
try:
state = self._root.revert(self)
except Exception:
with excutils.save_and_reraise_exception():
self._change_state(states.FAILURE)
self._change_state(state)
if state == states.SUSPENDED:
return
misc.Failure.reraise_if_any(self._failures.values())
if current_failure:
current_failure.reraise()
def __str__(self):
return "%s: %s" % (reflection.get_class_name(self), id(self))
def suspend(self):
self._change_state(states.SUSPENDING)
def get_graph(self):
self.compile()
return self._root.graph
@lock_utils.locked
def run(self):
self.compile()
external_provides = set(self.storage.fetch_all().keys())
missing = self._flow.requires - external_provides
if missing:
raise exc.MissingDependencies(self._flow, sorted(missing))
if self._failures:
self._revert()
else:
self._run()
def _run(self):
self._change_state(states.RUNNING)
try:
state = self._root.execute(self)
except Exception:
self._change_state(states.FAILURE)
self._revert(misc.Failure())
else:
self._change_state(state)
@lock_utils.locked(lock='_state_lock')
def _change_state(self, state):
old_state = self.storage.get_flow_state()
if not states.check_flow_transition(old_state, state):
return
self.storage.set_flow_state(state)
try:
flow_uuid = self._flow.uuid
except AttributeError:
# NOTE(harlowja): if the flow was just a single task, then it will
# not itself have a uuid, but the constructed flow_detail will.
if self._flow_detail is not None:
flow_uuid = self._flow_detail.uuid
else:
flow_uuid = None
details = dict(engine=self,
flow_name=self._flow.name,
flow_uuid=flow_uuid,
old_state=old_state)
self.notifier.notify(state, details)
def on_task_state_change(self, task_action, state, result=None):
if isinstance(result, misc.Failure):
self._failures[task_action.uuid] = 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 not None:
return
assert self._graph_action is not None, ('Graph action class must be'
' specified')
self._change_state(states.RESUMING) # does nothing in PENDING state
task_graph = flow_utils.flatten(self._flow)
self._root = self._graph_action(task_graph)
loaded_failures = {}
for task in task_graph.nodes_iter():
try:
task_id = self.storage.get_uuid_by_name(task.name)
except exc.NotFound:
task_id = uuidutils.generate_uuid()
task_version = misc.get_version_string(task)
self.storage.add_task(task_name=task.name, uuid=task_id,
task_version=task_version)
try:
result = self.storage.get(task_id)
except exc.NotFound:
result = None
if isinstance(result, misc.Failure):
# NOTE(imelnikov): old failure may have exc_info which
# might get lost during serialization, so we preserve
# old failure object if possible.
old_failure = self._failures.get(task_id, None)
if result.matches(old_failure):
loaded_failures[task_id] = old_failure
else:
loaded_failures[task_id] = result
self.storage.set_result_mapping(task_id, task.save_as)
self._root.add(task, task_action.TaskAction(task, task_id))
self._failures = loaded_failures
self._change_state(states.SUSPENDED) # does nothing in PENDING state
@property
def is_running(self):
return self.storage.get_flow_state() == states.RUNNING
@property
def is_reverting(self):
return self.storage.get_flow_state() == states.REVERTING
class SingleThreadedActionEngine(ActionEngine):
# This one attempts to run in a serial manner.
_graph_action = graph_action.SequentialGraphAction
_storage_cls = t_storage.Storage
class MultiThreadedActionEngine(ActionEngine):
# This one attempts to run in a parallel manner.
_graph_action = graph_action.ParallelGraphAction
_storage_cls = t_storage.ThreadSafeStorage
def __init__(self, flow, flow_detail, backend, conf):
super(MultiThreadedActionEngine, self).__init__(
flow, flow_detail, backend, conf)
self._executor = conf.get('executor', None)
@lock_utils.locked
def run(self):
if self._executor is None:
self._executor = futures.ThreadPoolExecutor(
threading_utils.get_optimal_thread_count())
owns_executor = True
else:
owns_executor = False
try:
ActionEngine.run(self)
finally:
# Don't forget to shutdown the executor!!
if owns_executor:
try:
self._executor.shutdown(wait=True)
finally:
self._executor = None
@property
def executor(self):
return self._executor