Files
deb-python-taskflow/taskflow/examples/delayed_return.py
Joshua Harlow d433a5323f Deprecate engine_conf and prefer engine instead
To avoid having one set of options coming from `engine_conf`
and another set of options coming from `kwargs` and another set
coming from `engine_conf` if it is a URI just start to shift
toward `engine_conf` being deprecated and `engine` being a string
type only (or a URI with additional query parameters) and having
any additional **kwargs that are provided just get merged into the
final engine options.

This adds a new helper function that handles all these various
options and adds in a keyword argument `engine` that will be shifted
to in a future version (in that future version we can also then
remove the `engine_conf` and just stick to a smaller set of option
mechanisms).

It also adjusts all examples to use this new and more easier to
understand format and adjusts tests, conductor interface to use
this new more easily understandable style of getting an engine.

Change-Id: Ic7617057338e0c63775cf38a24643cff6e454950
2014-10-18 13:28:27 -07:00

90 lines
2.8 KiB
Python

# -*- coding: utf-8 -*-
# Copyright (C) 2014 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 logging
import os
import sys
from concurrent import futures
logging.basicConfig(level=logging.ERROR)
self_dir = os.path.abspath(os.path.dirname(__file__))
top_dir = os.path.abspath(os.path.join(os.path.dirname(__file__),
os.pardir,
os.pardir))
sys.path.insert(0, top_dir)
sys.path.insert(0, self_dir)
# INTRO: in this example linear_flow we will attach a listener to an engine
# and delay the return from a function until after the result of a task has
# occurred in that engine. The engine will continue running (in the background)
# while the function will have returned.
import taskflow.engines
from taskflow.listeners import base
from taskflow.patterns import linear_flow as lf
from taskflow import states
from taskflow import task
from taskflow.utils import misc
class PokeFutureListener(base.ListenerBase):
def __init__(self, engine, future, task_name):
super(PokeFutureListener, self).__init__(
engine,
task_listen_for=(misc.Notifier.ANY,),
flow_listen_for=[])
self._future = future
self._task_name = task_name
def _task_receiver(self, state, details):
if state in (states.SUCCESS, states.FAILURE):
if details.get('task_name') == self._task_name:
if state == states.SUCCESS:
self._future.set_result(details['result'])
else:
failure = details['result']
self._future.set_exception(failure.exception)
class Hi(task.Task):
def execute(self):
# raise IOError("I broken")
return 'hi'
class Bye(task.Task):
def execute(self):
return 'bye'
def return_from_flow(pool):
wf = lf.Flow("root").add(Hi("hi"), Bye("bye"))
eng = taskflow.engines.load(wf, engine='serial')
f = futures.Future()
watcher = PokeFutureListener(eng, f, 'hi')
watcher.register()
pool.submit(eng.run)
return (eng, f.result())
with futures.ThreadPoolExecutor(1) as pool:
engine, hi_result = return_from_flow(pool)
print(hi_result)
print(engine.storage.get_flow_state())