build/third_party/twisted_10_2/twisted/python/threadpool.py

# -*- test-case-name: twisted.test.test_threadpool -*-
# Copyright (c) 2001-2010 Twisted Matrix Laboratories.
# See LICENSE for details.


"""
twisted.threadpool: a pool of threads to which we dispatch tasks.

In most cases you can just use reactor.callInThread and friends
instead of creating a thread pool directly.
"""

# System Imports
import Queue
import threading
import copy
import sys
import warnings


# Twisted Imports
from twisted.python import log, context, failure
from twisted.python.deprecate import deprecatedModuleAttribute
from twisted.python.versions import Version

WorkerStop = object()


class ThreadPool:
    """
    This class (hopefully) generalizes the functionality of a pool of
    threads to which work can be dispatched.

    callInThread() and stop() should only be called from
    a single thread, unless you make a subclass where stop() and
    _startSomeWorkers() are synchronized.
    """
    min = 5
    max = 20
    joined = False
    started = False
    workers = 0
    name = None

    threadFactory = threading.Thread
    currentThread = staticmethod(threading.currentThread)

    def __init__(self, minthreads=5, maxthreads=20, name=None):
        """
        Create a new threadpool.

        @param minthreads: minimum number of threads in the pool

        @param maxthreads: maximum number of threads in the pool
        """
        assert minthreads >= 0, 'minimum is negative'
        assert minthreads <= maxthreads, 'minimum is greater than maximum'
        self.q = Queue.Queue(0)
        self.min = minthreads
        self.max = maxthreads
        self.name = name
        self.waiters = []
        self.threads = []
        self.working = []

    def start(self):
        """
        Start the threadpool.
        """
        self.joined = False
        self.started = True
        # Start some threads.
        self.adjustPoolsize()

    def startAWorker(self):
        self.workers += 1
        name = "PoolThread-%s-%s" % (self.name or id(self), self.workers)
        newThread = self.threadFactory(target=self._worker, name=name)
        self.threads.append(newThread)
        newThread.start()

    def stopAWorker(self):
        self.q.put(WorkerStop)
        self.workers -= 1

    def __setstate__(self, state):
        self.__dict__ = state
        ThreadPool.__init__(self, self.min, self.max)

    def __getstate__(self):
        state = {}
        state['min'] = self.min
        state['max'] = self.max
        return state

    def _startSomeWorkers(self):
        neededSize = self.q.qsize() + len(self.working)
        # Create enough, but not too many
        while self.workers < min(self.max, neededSize):
            self.startAWorker()


    def dispatch(self, owner, func, *args, **kw):
        """
        DEPRECATED: use L{callInThread} instead.

        Dispatch a function to be a run in a thread.
        """
        warnings.warn("dispatch() is deprecated since Twisted 8.0, "
                      "use callInThread() instead",
                      DeprecationWarning, stacklevel=2)
        self.callInThread(func, *args, **kw)


    def callInThread(self, func, *args, **kw):
        """
        Call a callable object in a separate thread.

        @param func: callable object to be called in separate thread

        @param *args: positional arguments to be passed to func

        @param **kw: keyword args to be passed to func
        """
        self.callInThreadWithCallback(None, func, *args, **kw)


    def callInThreadWithCallback(self, onResult, func, *args, **kw):
        """
        Call a callable object in a separate thread and call onResult
        with the return value, or a L{twisted.python.failure.Failure}
        if the callable raises an exception.

        The callable is allowed to block, but the onResult function
        must not block and should perform as little work as possible.

        A typical action for onResult for a threadpool used with a
        Twisted reactor would be to schedule a Deferred to fire in the
        main reactor thread using C{.callFromThread}.  Note that
        onResult is called inside the separate thread, not inside the
        reactor thread.

        @param onResult: a callable with the signature (success, result).
            If the callable returns normally, onResult is called with
            (True, result) where result is the return value of the callable.
            If the callable throws an exception, onResult is called with
            (False, failure).

            Optionally, onResult may be None, in which case it is not
            called at all.

        @param func: callable object to be called in separate thread

        @param *args: positional arguments to be passed to func

        @param **kwargs: keyword arguments to be passed to func
        """
        if self.joined:
            return
        ctx = context.theContextTracker.currentContext().contexts[-1]
        o = (ctx, func, args, kw, onResult)
        self.q.put(o)
        if self.started:
            self._startSomeWorkers()


    def _runWithCallback(self, callback, errback, func, args, kwargs):
        try:
            result = apply(func, args, kwargs)
        except:
            errback(sys.exc_info()[1])
        else:
            callback(result)


    def dispatchWithCallback(self, owner, callback, errback, func, *args, **kw):
        """
        DEPRECATED: use L{twisted.internet.threads.deferToThread} instead.

        Dispatch a function, returning the result to a callback function.

        The callback function will be called in the thread - make sure it is
        thread-safe.
        """
        warnings.warn("dispatchWithCallback() is deprecated since Twisted 8.0, "
                      "use twisted.internet.threads.deferToThread() instead.",
                      DeprecationWarning, stacklevel=2)
        self.callInThread(
            self._runWithCallback, callback, errback, func, args, kw
        )


    def _worker(self):
        """
        Method used as target of the created threads: retrieve task to run
        from the threadpool, run it, and proceed to the next task until
        threadpool is stopped.
        """
        ct = self.currentThread()
        o = self.q.get()
        while o is not WorkerStop:
            self.working.append(ct)
            ctx, function, args, kwargs, onResult = o
            del o

            try:
                result = context.call(ctx, function, *args, **kwargs)
                success = True
            except:
                success = False
                if onResult is None:
                    context.call(ctx, log.err)
                    result = None
                else:
                    result = failure.Failure()

            del function, args, kwargs

            self.working.remove(ct)

            if onResult is not None:
                try:
                    context.call(ctx, onResult, success, result)
                except:
                    context.call(ctx, log.err)

            del ctx, onResult, result

            self.waiters.append(ct)
            o = self.q.get()
            self.waiters.remove(ct)

        self.threads.remove(ct)

    def stop(self):
        """
        Shutdown the threads in the threadpool.
        """
        self.joined = True
        threads = copy.copy(self.threads)
        while self.workers:
            self.q.put(WorkerStop)
            self.workers -= 1

        # and let's just make sure
        # FIXME: threads that have died before calling stop() are not joined.
        for thread in threads:
            thread.join()

    def adjustPoolsize(self, minthreads=None, maxthreads=None):
        if minthreads is None:
            minthreads = self.min
        if maxthreads is None:
            maxthreads = self.max

        assert minthreads >= 0, 'minimum is negative'
        assert minthreads <= maxthreads, 'minimum is greater than maximum'

        self.min = minthreads
        self.max = maxthreads
        if not self.started:
            return

        # Kill of some threads if we have too many.
        while self.workers > self.max:
            self.stopAWorker()
        # Start some threads if we have too few.
        while self.workers < self.min:
            self.startAWorker()
        # Start some threads if there is a need.
        self._startSomeWorkers()

    def dumpStats(self):
        log.msg('queue: %s'   % self.q.queue)
        log.msg('waiters: %s' % self.waiters)
        log.msg('workers: %s' % self.working)
        log.msg('total: %s'   % self.threads)



class ThreadSafeList:
    """
    In Jython 2.1 lists aren't thread-safe, so this wraps it.  Newer versions
    of Jython are completely different than 2.1, so this class is deprecated
    to make way for future versions of Jython.
    """

    deprecatedModuleAttribute(
        Version("Twisted", 10, 1, 0),
        "This was an internal implementation detail of support for Jython 2.1,"
        " which is now obsolete.",
        __name__, "ThreadSafeList")

    def __init__(self):
        self.lock = threading.Lock()
        self.l = []

    def append(self, i):
        self.lock.acquire()
        try:
            self.l.append(i)
        finally:
            self.lock.release()

    def remove(self, i):
        self.lock.acquire()
        try:
            self.l.remove(i)
        finally:
            self.lock.release()

    def __len__(self):
        return len(self.l)