In order to avoid the circular import in threading utils move the decorators functionality to utils/misc and move the locking functionality to utils/lock_utils and then use these functions from the threading util (and elsewhere). Fixes bug: 1236080 Change-Id: I9e71c2ba15782cbb6dd5ab7e1264b77ed47bc29e
		
			
				
	
	
		
			112 lines
		
	
	
		
			3.7 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			112 lines
		
	
	
		
			3.7 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# -*- coding: utf-8 -*-
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# vim: tabstop=4 shiftwidth=4 softtabstop=4
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#    Copyright (C) 2013 Yahoo! Inc. All Rights Reserved.
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#
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#    Licensed under the Apache License, Version 2.0 (the "License"); you may
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#    not use this file except in compliance with the License. You may obtain
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#    a copy of the License at
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#
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#         http://www.apache.org/licenses/LICENSE-2.0
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#
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#    Unless required by applicable law or agreed to in writing, software
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#    distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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#    WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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#    License for the specific language governing permissions and limitations
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#    under the License.
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import logging
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import multiprocessing
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import threading
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import time
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import types
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from taskflow.utils import lock_utils
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LOG = logging.getLogger(__name__)
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def await(check_functor, timeout=None):
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    """Spin-loops + sleeps awaiting for a given functor to return true."""
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    if timeout is not None:
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        end_time = time.time() + max(0, timeout)
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    else:
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        end_time = None
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    # Use the same/similar scheme that the python condition class uses.
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    delay = 0.0005
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    while not check_functor():
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        time.sleep(delay)
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        if end_time is not None:
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            remaining = end_time - time.time()
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            if remaining <= 0:
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                return False
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            delay = min(delay * 2, remaining, 0.05)
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        else:
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            delay = min(delay * 2, 0.05)
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    return True
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def get_optimal_thread_count():
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    """Try to guess optimal thread count for current system."""
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    try:
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        return multiprocessing.cpu_count() + 1
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    except NotImplementedError:
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        # NOTE(harlowja): apparently may raise so in this case we will
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        # just setup two threads since its hard to know what else we
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        # should do in this situation.
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        return 2
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class CountDownLatch(object):
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    """Similar in concept to the java count down latch."""
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    def __init__(self, count=0):
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        self.count = count
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        self.lock = threading.Condition()
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    def countDown(self):
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        with self.lock:
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            self.count -= 1
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            if self.count <= 0:
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                self.lock.notifyAll()
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    def await(self, timeout=None):
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        end_time = None
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        if timeout is not None:
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            timeout = max(0, timeout)
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            end_time = time.time() + timeout
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        time_up = False
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        with self.lock:
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            while True:
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                # Stop waiting on these 2 conditions.
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                if time_up or self.count <= 0:
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                    break
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                # Was this a spurious wakeup or did we really end??
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                self.lock.wait(timeout=timeout)
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                if end_time is not None:
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                    if time.time() >= end_time:
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                        time_up = True
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                    else:
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                        # Reduce the timeout so that we don't wait extra time
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                        # over what we initially were requested to.
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                        timeout = end_time - time.time()
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            return self.count <= 0
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class ThreadSafeMeta(type):
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    """Metaclass that adds locking to all pubic methods of a class"""
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    def __new__(cls, name, bases, attrs):
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        for attr_name, attr_value in attrs.iteritems():
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            if isinstance(attr_value, types.FunctionType):
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                if attr_name[0] != '_':
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                    attrs[attr_name] = lock_utils.locked(attr_value)
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        return super(ThreadSafeMeta, cls).__new__(cls, name, bases, attrs)
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    def __call__(cls, *args, **kwargs):
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        instance = super(ThreadSafeMeta, cls).__call__(*args, **kwargs)
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        if not hasattr(instance, '_lock'):
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            instance._lock = threading.RLock()
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        return instance
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