Files
deb-python-taskflow/taskflow/patterns/linear_flow.py
Joshua Harlow 81d0884d55 Provide the length of the flows.
Its useful to be able to check if a flow contains
anything by just inspecting the len() of the flow.
This can be used to avoid running a flow in the
first place if nothing is in said flow.

Change-Id: Ibfea7f10fc67d5dd3ddfa6f6fe6c08805562998a
2013-07-10 00:00:04 -07:00

283 lines
11 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 collections
import copy
import logging
from taskflow.openstack.common import excutils
from taskflow import decorators
from taskflow import exceptions as exc
from taskflow import states
from taskflow import utils
from taskflow.patterns import base
LOG = logging.getLogger(__name__)
class Flow(base.Flow):
""""A linear chain of tasks that can be applied in order as one unit and
rolled back as one unit using the reverse order that the tasks have
been applied in.
Note(harlowja): Each task in the chain must have requirements
which are satisfied by the previous task/s in the chain."""
def __init__(self, name, parents=None, uuid=None):
super(Flow, self).__init__(name, parents, uuid)
# The tasks which have been applied will be collected here so that they
# can be reverted in the correct order on failure.
self._accumulator = utils.RollbackAccumulator()
# Tasks results are stored here. Lookup is by the uuid that was
# returned from the add function.
self.results = {}
# The previously left off iterator that can be used to resume from
# the last task (if interrupted and soft-reset).
self._leftoff_at = None
# All runners to run are collected here.
self._runners = []
self._connected = False
# The resumption strategy to use.
self.resumer = None
@decorators.locked
def add(self, task):
"""Adds a given task to this flow."""
assert isinstance(task, collections.Callable)
r = utils.Runner(task)
r.runs_before = list(reversed(self._runners))
self._runners.append(r)
self._reset_internals()
return r.uuid
def _reset_internals(self):
self._connected = False
self._leftoff_at = None
def _associate_providers(self, runner):
# Ensure that some previous task provides this input.
who_provides = {}
task_requires = runner.requires
LOG.debug("Finding providers of %s for %s", task_requires, runner)
for r in task_requires:
provider = None
for before_me in runner.runs_before:
if r in before_me.provides:
provider = before_me
break
if provider:
LOG.debug("Found provider of %s from %s", r, provider)
who_provides[r] = provider
# Ensure that the last task provides all the needed input for this
# task to run correctly.
missing_requires = task_requires - set(who_provides.keys())
if missing_requires:
raise exc.MissingDependencies(runner, sorted(missing_requires))
runner.providers.update(who_provides)
def __str__(self):
lines = ["LinearFlow: %s" % (self.name)]
lines.append("%s" % (self.uuid))
lines.append("%s" % (len(self._runners)))
lines.append("%s" % (len(self.parents)))
lines.append("%s" % (self.state))
return "; ".join(lines)
@decorators.locked
def remove(self, uuid):
index_removed = -1
for (i, r) in enumerate(self._runners):
if r.uuid == uuid:
index_removed = i
break
if index_removed == -1:
raise ValueError("No runner found with uuid %s" % (uuid))
else:
removed = self._runners.pop(index_removed)
self._reset_internals()
# Go and remove it from any runner after the removed runner since
# those runners may have had an attachment to it.
for r in self._runners[index_removed:]:
try:
r.runs_before.remove(removed)
except (IndexError, ValueError):
pass
def __len__(self):
return len(self._runners)
def _connect(self):
if self._connected:
return self._runners
for r in self._runners:
r.providers = {}
for r in reversed(self._runners):
self._associate_providers(r)
self._connected = True
return self._runners
def _ordering(self):
return iter(self._connect())
@decorators.locked
def run(self, context, *args, **kwargs):
super(Flow, self).run(context, *args, **kwargs)
def resume_it():
if self._leftoff_at is not None:
return ([], self._leftoff_at)
if self.resumer:
(finished, leftover) = self.resumer.resume(self,
self._ordering())
else:
finished = []
leftover = self._ordering()
return (finished, leftover)
self._change_state(context, states.STARTED)
try:
those_finished, leftover = resume_it()
except Exception:
with excutils.save_and_reraise_exception():
self._change_state(context, states.FAILURE)
def run_it(runner, failed=False, result=None, simulate_run=False):
try:
# Add the task to be rolled back *immediately* so that even if
# the task fails while producing results it will be given a
# chance to rollback.
rb = utils.RollbackTask(context, runner.task, result=None)
self._accumulator.add(rb)
self.task_notifier.notify(states.STARTED, details={
'context': context,
'flow': self,
'runner': runner,
})
if not simulate_run:
result = runner(context, *args, **kwargs)
else:
if failed:
# TODO(harlowja): make this configurable??
# If we previously failed, we want to fail again at
# the same place.
if not result:
# If no exception or exception message was provided
# or captured from the previous run then we need to
# form one for this task.
result = "%s failed running." % (runner.task)
if isinstance(result, basestring):
result = exc.InvalidStateException(result)
if not isinstance(result, Exception):
LOG.warn("Can not raise a non-exception"
" object: %s", result)
result = exc.InvalidStateException()
raise result
# Adjust the task result in the accumulator before
# notifying others that the task has finished to
# avoid the case where a listener might throw an
# exception.
#
# Note(harlowja): Keep the original result in the
# accumulator only and give a duplicated copy to
# avoid the original result being altered by other
# tasks.
#
# This is due to python being by reference (which means
# some task could alter this result intentionally or not
# intentionally).
rb.result = result
runner.result = result
self.results[runner.uuid] = copy.deepcopy(result)
self.task_notifier.notify(states.SUCCESS, details={
'context': context,
'flow': self,
'runner': runner,
})
except Exception as e:
runner.result = e
cause = utils.FlowFailure(runner, self, e)
with excutils.save_and_reraise_exception():
# Notify any listeners that the task has errored.
self.task_notifier.notify(states.FAILURE, details={
'context': context,
'flow': self,
'runner': runner,
})
self.rollback(context, cause)
if len(those_finished):
self._change_state(context, states.RESUMING)
for (r, details) in those_finished:
# Fake running the task so that we trigger the same
# notifications and state changes (and rollback that
# would have happened in a normal flow).
failed = states.FAILURE in details.get('states', [])
result = details.get('result')
run_it(r, failed=failed, result=result, simulate_run=True)
self._leftoff_at = leftover
self._change_state(context, states.RUNNING)
if self.state == states.INTERRUPTED:
return
was_interrupted = False
for r in leftover:
r.reset()
run_it(r)
if self.state == states.INTERRUPTED:
was_interrupted = True
break
if not was_interrupted:
# Only gets here if everything went successfully.
self._change_state(context, states.SUCCESS)
self._leftoff_at = None
@decorators.locked
def reset(self):
super(Flow, self).reset()
self.results = {}
self.resumer = None
self._accumulator.reset()
self._reset_internals()
@decorators.locked
def rollback(self, context, cause):
# Performs basic task by task rollback by going through the reverse
# order that tasks have finished and asking said task to undo whatever
# it has done. If this flow has any parent flows then they will
# also be called to rollback any tasks said parents contain.
#
# Note(harlowja): if a flow can more simply revert a whole set of
# tasks via a simpler command then it can override this method to
# accomplish that.
#
# For example, if each task was creating a file in a directory, then
# it's easier to just remove the directory than to ask each task to
# delete its file individually.
self._change_state(context, states.REVERTING)
try:
self._accumulator.rollback(cause)
finally:
self._change_state(context, states.FAILURE)
# Rollback any parents flows if they exist...
for p in self.parents:
p.rollback(context, cause)