Current File : //usr/lib/python3/dist-packages/twisted/python/threadpool.py
# -*- test-case-name: twisted.test.test_threadpool -*-
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
twisted.python.threadpool: a pool of threads to which we dispatch tasks.
In most cases you can just use C{reactor.callInThread} and friends
instead of creating a thread pool directly.
"""
from threading import Thread, current_thread
from typing import List
from twisted._threads import pool as _pool
from twisted.python import context, log
from twisted.python.deprecate import deprecated
from twisted.python.failure import Failure
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.
L{callInThread} and L{stop} should only be called from a single thread.
@ivar started: Whether or not the thread pool is currently running.
@type started: L{bool}
@ivar threads: List of workers currently running in this thread pool.
@type threads: L{list}
@ivar _pool: A hook for testing.
@type _pool: callable compatible with L{_pool}
"""
min = 5
max = 20
joined = False
started = False
name = None
threadFactory = Thread
currentThread = staticmethod(
deprecated(
version=Version("Twisted", 22, 1, 0),
replacement="threading.current_thread",
)(current_thread)
)
_pool = staticmethod(_pool)
def __init__(self, minthreads=5, maxthreads=20, name=None):
"""
Create a new threadpool.
@param minthreads: minimum number of threads in the pool
@type minthreads: L{int}
@param maxthreads: maximum number of threads in the pool
@type maxthreads: L{int}
@param name: The name to give this threadpool; visible in log messages.
@type name: native L{str}
"""
assert minthreads >= 0, "minimum is negative"
assert minthreads <= maxthreads, "minimum is greater than maximum"
self.min = minthreads
self.max = maxthreads
self.name = name
self.threads: List[Thread] = []
def trackingThreadFactory(*a, **kw):
thread = self.threadFactory( # type: ignore[misc]
*a, name=self._generateName(), **kw
)
self.threads.append(thread)
return thread
def currentLimit():
if not self.started:
return 0
return self.max
self._team = self._pool(currentLimit, trackingThreadFactory)
@property
def workers(self):
"""
For legacy compatibility purposes, return a total number of workers.
@return: the current number of workers, both idle and busy (but not
those that have been quit by L{ThreadPool.adjustPoolsize})
@rtype: L{int}
"""
stats = self._team.statistics()
return stats.idleWorkerCount + stats.busyWorkerCount
@property
def working(self):
"""
For legacy compatibility purposes, return the number of busy workers as
expressed by a list the length of that number.
@return: the number of workers currently processing a work item.
@rtype: L{list} of L{None}
"""
return [None] * self._team.statistics().busyWorkerCount
@property
def waiters(self):
"""
For legacy compatibility purposes, return the number of idle workers as
expressed by a list the length of that number.
@return: the number of workers currently alive (with an allocated
thread) but waiting for new work.
@rtype: L{list} of L{None}
"""
return [None] * self._team.statistics().idleWorkerCount
@property
def _queue(self):
"""
For legacy compatibility purposes, return an object with a C{qsize}
method that indicates the amount of work not yet allocated to a worker.
@return: an object with a C{qsize} method.
"""
class NotAQueue:
def qsize(q):
"""
Pretend to be a Python threading Queue and return the
number of as-yet-unconsumed tasks.
@return: the amount of backlogged work not yet dispatched to a
worker.
@rtype: L{int}
"""
return self._team.statistics().backloggedWorkCount
return NotAQueue()
q = _queue # Yes, twistedchecker, I want a single-letter
# attribute name.
def start(self):
"""
Start the threadpool.
"""
self.joined = False
self.started = True
# Start some threads.
self.adjustPoolsize()
backlog = self._team.statistics().backloggedWorkCount
if backlog:
self._team.grow(backlog)
def startAWorker(self):
"""
Increase the number of available workers for the thread pool by 1, up
to the maximum allowed by L{ThreadPool.max}.
"""
self._team.grow(1)
def _generateName(self):
"""
Generate a name for a new pool thread.
@return: A distinctive name for the thread.
@rtype: native L{str}
"""
return f"PoolThread-{self.name or id(self)}-{self.workers}"
def stopAWorker(self):
"""
Decrease the number of available workers by 1, by quitting one as soon
as it's idle.
"""
self._team.shrink(1)
def __setstate__(self, state):
setattr(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 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 C{func}
@param kw: keyword args to be passed to C{func}
"""
self.callInThreadWithCallback(None, func, *args, **kw)
def callInThreadWithCallback(self, onResult, func, *args, **kw):
"""
Call a callable object in a separate thread and call C{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 C{onResult} function must not
block and should perform as little work as possible.
A typical action for C{onResult} for a threadpool used with a Twisted
reactor would be to schedule a L{twisted.internet.defer.Deferred} to
fire in the main reactor thread using C{.callFromThread}. Note that
C{onResult} is called inside the separate thread, not inside the
reactor thread.
@param onResult: a callable with the signature C{(success, result)}.
If the callable returns normally, C{onResult} is called with
C{(True, result)} where C{result} is the return value of the
callable. If the callable throws an exception, C{onResult} is
called with C{(False, failure)}.
Optionally, C{onResult} may be L{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 C{func}
@param kw: keyword arguments to be passed to C{func}
"""
if self.joined:
return
ctx = context.theContextTracker.currentContext().contexts[-1]
def inContext():
try:
result = inContext.theWork() # type: ignore[attr-defined]
ok = True
except BaseException:
result = Failure()
ok = False
inContext.theWork = None # type: ignore[attr-defined]
if inContext.onResult is not None: # type: ignore[attr-defined]
inContext.onResult(ok, result) # type: ignore[attr-defined]
inContext.onResult = None # type: ignore[attr-defined]
elif not ok:
log.err(result)
# Avoid closing over func, ctx, args, kw so that we can carefully
# manage their lifecycle. See
# test_threadCreationArgumentsCallInThreadWithCallback.
inContext.theWork = lambda: context.call( # type: ignore[attr-defined]
ctx, func, *args, **kw
)
inContext.onResult = onResult # type: ignore[attr-defined]
self._team.do(inContext)
def stop(self):
"""
Shutdown the threads in the threadpool.
"""
self.joined = True
self.started = False
self._team.quit()
for thread in self.threads:
thread.join()
def adjustPoolsize(self, minthreads=None, maxthreads=None):
"""
Adjust the number of available threads by setting C{min} and C{max} to
new values.
@param minthreads: The new value for L{ThreadPool.min}.
@param maxthreads: The new value for L{ThreadPool.max}.
"""
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.
if self.workers > self.max:
self._team.shrink(self.workers - self.max)
# Start some threads if we have too few.
if self.workers < self.min:
self._team.grow(self.min - self.workers)
def dumpStats(self):
"""
Dump some plain-text informational messages to the log about the state
of this L{ThreadPool}.
"""
log.msg(f"waiters: {self.waiters}")
log.msg(f"workers: {self.working}")
log.msg(f"total: {self.threads}")
Mini Shell