openmedialibrary_platform/Darwin/lib/python2.7/site-packages/twisted/internet/threads.py
2014-05-16 01:20:41 +02:00

127 lines
3.9 KiB
Python

# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Extended thread dispatching support.
For basic support see reactor threading API docs.
"""
from __future__ import division, absolute_import
from twisted.python.compat import _PY3
if not _PY3:
import Queue
else:
import queue as Queue
from twisted.python import failure
from twisted.internet import defer
def deferToThreadPool(reactor, threadpool, f, *args, **kwargs):
"""
Call the function C{f} using a thread from the given threadpool and return
the result as a Deferred.
This function is only used by client code which is maintaining its own
threadpool. To run a function in the reactor's threadpool, use
C{deferToThread}.
@param reactor: The reactor in whose main thread the Deferred will be
invoked.
@param threadpool: An object which supports the C{callInThreadWithCallback}
method of C{twisted.python.threadpool.ThreadPool}.
@param f: The function to call.
@param *args: positional arguments to pass to f.
@param **kwargs: keyword arguments to pass to f.
@return: A Deferred which fires a callback with the result of f, or an
errback with a L{twisted.python.failure.Failure} if f throws an
exception.
"""
d = defer.Deferred()
def onResult(success, result):
if success:
reactor.callFromThread(d.callback, result)
else:
reactor.callFromThread(d.errback, result)
threadpool.callInThreadWithCallback(onResult, f, *args, **kwargs)
return d
def deferToThread(f, *args, **kwargs):
"""
Run a function in a thread and return the result as a Deferred.
@param f: The function to call.
@param *args: positional arguments to pass to f.
@param **kwargs: keyword arguments to pass to f.
@return: A Deferred which fires a callback with the result of f,
or an errback with a L{twisted.python.failure.Failure} if f throws
an exception.
"""
from twisted.internet import reactor
return deferToThreadPool(reactor, reactor.getThreadPool(),
f, *args, **kwargs)
def _runMultiple(tupleList):
"""
Run a list of functions.
"""
for f, args, kwargs in tupleList:
f(*args, **kwargs)
def callMultipleInThread(tupleList):
"""
Run a list of functions in the same thread.
tupleList should be a list of (function, argsList, kwargsDict) tuples.
"""
from twisted.internet import reactor
reactor.callInThread(_runMultiple, tupleList)
def blockingCallFromThread(reactor, f, *a, **kw):
"""
Run a function in the reactor from a thread, and wait for the result
synchronously. If the function returns a L{Deferred}, wait for its
result and return that.
@param reactor: The L{IReactorThreads} provider which will be used to
schedule the function call.
@param f: the callable to run in the reactor thread
@type f: any callable.
@param a: the arguments to pass to C{f}.
@param kw: the keyword arguments to pass to C{f}.
@return: the result of the L{Deferred} returned by C{f}, or the result
of C{f} if it returns anything other than a L{Deferred}.
@raise: If C{f} raises a synchronous exception,
C{blockingCallFromThread} will raise that exception. If C{f}
returns a L{Deferred} which fires with a L{Failure},
C{blockingCallFromThread} will raise that failure's exception (see
L{Failure.raiseException}).
"""
queue = Queue.Queue()
def _callFromThread():
result = defer.maybeDeferred(f, *a, **kw)
result.addBoth(queue.put)
reactor.callFromThread(_callFromThread)
result = queue.get()
if isinstance(result, failure.Failure):
result.raiseException()
return result
__all__ = ["deferToThread", "deferToThreadPool", "callMultipleInThread",
"blockingCallFromThread"]