Files
deb-python-taskflow/taskflow/engines/action_engine/actions/task.py
Joshua Harlow 5996c8f25e Allow the storage unit to use the right scoping strategy
Instead of having the fetch arguments functions need to be
provided a scope walker to correctly find the right arguments,
which only the internals of the action engine know about
provide a default scope walker (that is the same one the
action engine internal uses) to the storage unit and have it be
the default strategy used so that users need not know how to
pass it in (which they should not care about).

This allows for users to fetch the same mapped arguments as the
internals of the engine will fetch.

Change-Id: I1beca532b2b7c7ad98b09265a0c4477658052d16
2015-03-11 19:13:52 -07:00

153 lines
6.0 KiB
Python

# -*- coding: utf-8 -*-
# Copyright (C) 2012-2013 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 functools
from taskflow.engines.action_engine.actions import base
from taskflow import logging
from taskflow import states
from taskflow import task as task_atom
from taskflow.types import failure
LOG = logging.getLogger(__name__)
class TaskAction(base.Action):
"""An action that handles scheduling, state changes, ... of task atoms."""
def __init__(self, storage, notifier, task_executor):
super(TaskAction, self).__init__(storage, notifier)
self._task_executor = task_executor
@staticmethod
def handles(atom):
return isinstance(atom, task_atom.BaseTask)
def _is_identity_transition(self, old_state, state, task, progress):
if state in base.SAVE_RESULT_STATES:
# saving result is never identity transition
return False
if state != old_state:
# changing state is not identity transition by definition
return False
# NOTE(imelnikov): last thing to check is that the progress has
# changed, which means progress is not None and is different from
# what is stored in the database.
if progress is None:
return False
old_progress = self._storage.get_task_progress(task.name)
if old_progress != progress:
return False
return True
def change_state(self, task, state,
result=base.NO_RESULT, progress=None):
old_state = self._storage.get_atom_state(task.name)
if self._is_identity_transition(old_state, state, task, progress):
# NOTE(imelnikov): ignore identity transitions in order
# to avoid extra write to storage backend and, what's
# more important, extra notifications
return
if state in base.SAVE_RESULT_STATES:
save_result = None
if result is not base.NO_RESULT:
save_result = result
self._storage.save(task.name, save_result, state)
else:
self._storage.set_atom_state(task.name, state)
if progress is not None:
self._storage.set_task_progress(task.name, progress)
task_uuid = self._storage.get_atom_uuid(task.name)
details = {
'task_name': task.name,
'task_uuid': task_uuid,
'old_state': old_state,
}
if result is not base.NO_RESULT:
details['result'] = result
self._notifier.notify(state, details)
if progress is not None:
task.update_progress(progress)
def _on_update_progress(self, task, event_type, details):
"""Should be called when task updates its progress."""
try:
progress = details.pop('progress')
except KeyError:
pass
else:
try:
self._storage.set_task_progress(task.name, progress,
details=details)
except Exception:
# Update progress callbacks should never fail, so capture and
# log the emitted exception instead of raising it.
LOG.exception("Failed setting task progress for %s to %0.3f",
task, progress)
def schedule_execution(self, task):
self.change_state(task, states.RUNNING, progress=0.0)
arguments = self._storage.fetch_mapped_args(
task.rebind,
atom_name=task.name,
optional_args=task.optional
)
if task.notifier.can_be_registered(task_atom.EVENT_UPDATE_PROGRESS):
progress_callback = functools.partial(self._on_update_progress,
task)
else:
progress_callback = None
task_uuid = self._storage.get_atom_uuid(task.name)
return self._task_executor.execute_task(
task, task_uuid, arguments,
progress_callback=progress_callback)
def complete_execution(self, task, result):
if isinstance(result, failure.Failure):
self.change_state(task, states.FAILURE, result=result)
else:
self.change_state(task, states.SUCCESS,
result=result, progress=1.0)
def schedule_reversion(self, task):
self.change_state(task, states.REVERTING, progress=0.0)
arguments = self._storage.fetch_mapped_args(
task.rebind,
atom_name=task.name,
optional_args=task.optional
)
task_uuid = self._storage.get_atom_uuid(task.name)
task_result = self._storage.get(task.name)
failures = self._storage.get_failures()
if task.notifier.can_be_registered(task_atom.EVENT_UPDATE_PROGRESS):
progress_callback = functools.partial(self._on_update_progress,
task)
else:
progress_callback = None
future = self._task_executor.revert_task(
task, task_uuid, arguments, task_result, failures,
progress_callback=progress_callback)
return future
def complete_reversion(self, task, result):
if isinstance(result, failure.Failure):
self.change_state(task, states.FAILURE)
else:
self.change_state(task, states.REVERTED, progress=1.0)
def wait_for_any(self, fs, timeout):
return self._task_executor.wait_for_any(fs, timeout)