Files
deb-python-taskflow/taskflow/utils/threading_utils.py
Joshua Harlow 2a8fde1798 Get the basics of a process executor working
Since we support various executors (threaded and distributed)
the next best executor when a threaded executor will not perform
and a distributed one requires to much setup is a local process
based one so it would be great to support this where we can.

Things that are currently (likely never) not going to work:

 * Non-pickleable/non-copyable tasks
 * Tasks that return non-pickleable/non-copyable results
 * Tasks that use non-pickleable/non-copyable args/kwargs

Part of blueprint process-executor

Change-Id: I966ae01d390c7217b858db3feb2db949ce5c08d1
2014-12-19 20:48:23 -08:00

74 lines
2.4 KiB
Python

# -*- coding: utf-8 -*-
# Copyright (C) 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 multiprocessing
import sys
import threading
from six.moves import _thread
if sys.version_info[0:2] == (2, 6):
# This didn't return that was/wasn't set in 2.6, since we actually care
# whether it did or didn't add that feature by taking the code from 2.7
# that added this functionality...
#
# TODO(harlowja): remove when we can drop 2.6 support.
class Event(threading._Event):
def wait(self, timeout=None):
self.__cond.acquire()
try:
if not self.__flag:
self.__cond.wait(timeout)
return self.__flag
finally:
self.__cond.release()
else:
Event = threading.Event
def is_alive(thread):
"""Helper to determine if a thread is alive (handles none safely)."""
if not thread:
return False
return thread.is_alive()
def get_ident():
"""Return the 'thread identifier' of the current thread."""
return _thread.get_ident()
def get_optimal_thread_count():
"""Try to guess optimal thread count for current system."""
try:
return multiprocessing.cpu_count() + 1
except NotImplementedError:
# NOTE(harlowja): apparently may raise so in this case we will
# just setup two threads since it's hard to know what else we
# should do in this situation.
return 2
def daemon_thread(target, *args, **kwargs):
"""Makes a daemon thread that calls the given target when started."""
thread = threading.Thread(target=target, args=args, kwargs=kwargs)
# NOTE(skudriashev): When the main thread is terminated unexpectedly
# and thread is still alive - it will prevent main thread from exiting
# unless the daemon property is set to True.
thread.daemon = True
return thread