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135 lines
4.5 KiB
135 lines
4.5 KiB
# Copyright 2009 Brian Quinlan. All Rights Reserved.
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# Licensed to PSF under a Contributor Agreement.
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"""Implements ThreadPoolExecutor."""
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import atexit
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from concurrent.futures import _base
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import Queue as queue
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import threading
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import weakref
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import sys
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__author__ = 'Brian Quinlan (brian@sweetapp.com)'
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# Workers are created as daemon threads. This is done to allow the interpreter
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# to exit when there are still idle threads in a ThreadPoolExecutor's thread
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# pool (i.e. shutdown() was not called). However, allowing workers to die with
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# the interpreter has two undesirable properties:
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# - The workers would still be running during interpretor shutdown,
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# meaning that they would fail in unpredictable ways.
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# - The workers could be killed while evaluating a work item, which could
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# be bad if the callable being evaluated has external side-effects e.g.
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# writing to a file.
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#
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# To work around this problem, an exit handler is installed which tells the
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# workers to exit when their work queues are empty and then waits until the
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# threads finish.
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_threads_queues = weakref.WeakKeyDictionary()
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_shutdown = False
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def _python_exit():
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global _shutdown
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_shutdown = True
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items = list(_threads_queues.items()) if _threads_queues else ()
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for t, q in items:
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q.put(None)
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for t, q in items:
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t.join(sys.maxint)
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atexit.register(_python_exit)
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class _WorkItem(object):
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def __init__(self, future, fn, args, kwargs):
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self.future = future
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self.fn = fn
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self.args = args
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self.kwargs = kwargs
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def run(self):
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if not self.future.set_running_or_notify_cancel():
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return
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try:
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result = self.fn(*self.args, **self.kwargs)
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except BaseException:
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e, tb = sys.exc_info()[1:]
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self.future.set_exception_info(e, tb)
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else:
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self.future.set_result(result)
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def _worker(executor_reference, work_queue):
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try:
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while True:
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work_item = work_queue.get(block=True)
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if work_item is not None:
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work_item.run()
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# Delete references to object. See issue16284
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del work_item
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continue
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executor = executor_reference()
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# Exit if:
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# - The interpreter is shutting down OR
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# - The executor that owns the worker has been collected OR
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# - The executor that owns the worker has been shutdown.
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if _shutdown or executor is None or executor._shutdown:
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# Notice other workers
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work_queue.put(None)
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return
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del executor
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except BaseException:
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_base.LOGGER.critical('Exception in worker', exc_info=True)
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class ThreadPoolExecutor(_base.Executor):
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def __init__(self, max_workers):
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"""Initializes a new ThreadPoolExecutor instance.
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Args:
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max_workers: The maximum number of threads that can be used to
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execute the given calls.
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"""
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self._max_workers = max_workers
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self._work_queue = queue.Queue()
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self._threads = set()
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self._shutdown = False
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self._shutdown_lock = threading.Lock()
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def submit(self, fn, *args, **kwargs):
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with self._shutdown_lock:
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if self._shutdown:
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raise RuntimeError('cannot schedule new futures after shutdown')
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f = _base.Future()
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w = _WorkItem(f, fn, args, kwargs)
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self._work_queue.put(w)
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self._adjust_thread_count()
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return f
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submit.__doc__ = _base.Executor.submit.__doc__
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def _adjust_thread_count(self):
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# When the executor gets lost, the weakref callback will wake up
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# the worker threads.
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def weakref_cb(_, q=self._work_queue):
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q.put(None)
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# TODO(bquinlan): Should avoid creating new threads if there are more
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# idle threads than items in the work queue.
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if len(self._threads) < self._max_workers:
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t = threading.Thread(target=_worker,
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args=(weakref.ref(self, weakref_cb),
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self._work_queue))
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t.daemon = True
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t.start()
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self._threads.add(t)
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_threads_queues[t] = self._work_queue
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def shutdown(self, wait=True):
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with self._shutdown_lock:
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self._shutdown = True
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self._work_queue.put(None)
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if wait:
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for t in self._threads:
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t.join(sys.maxint)
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shutdown.__doc__ = _base.Executor.shutdown.__doc__
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