是否有可能终止一个正在运行的线程而不设置/检查任何标志/信号/等等?
当前回答
在Python中,你不能直接杀死一个线程。
如果你不是真的需要Thread(!),你可以做的,而不是使用threading包,是使用 多处理包。在这里,要终止一个进程,你可以简单地调用方法:
yourProcess.terminate() # kill the process!
Python将终止您的进程(在Unix上通过SIGTERM信号,而在Windows上通过TerminateProcess()调用)。注意在使用队列或管道时使用它!(可能会破坏队列/管道中的数据)
注意,多处理。事件和多处理。信号量的工作方式与线程完全相同。事件和线程。信号量分别。事实上,前者是后者的克隆。
如果你真的需要使用一个线程,没有办法直接杀死它。但是,您可以使用“守护线程”。事实上,在Python中,线程可以被标记为守护进程:
yourThread.daemon = True # set the Thread as a "daemon thread"
当没有活动的非守护进程线程时,主程序将退出。换句话说,当主线程(当然是非守护线程)完成其操作时,即使仍有一些守护线程在工作,程序也将退出。
注意,在调用start()方法之前,有必要将线程设置为守护进程!
当然,你可以,也应该在多进程中使用daemon。在这里,当主进程退出时,它将尝试终止其所有守护子进程。
最后,请注意sys.exit()和os.kill()不是选项。
其他回答
下面的方法可以用来杀死一个线程:
kill_threads = False
def doSomething():
global kill_threads
while True:
if kill_threads:
thread.exit()
......
......
thread.start_new_thread(doSomething, ())
这甚至可以用于从主线程终止代码写在另一个模块中的线程。我们可以在该模块中声明一个全局变量,并使用它来终止在该模块中生成的线程。
我通常使用它在程序出口终止所有线程。这可能不是终止线程的完美方法,但可能有帮助。
在Python和任何语言中,突然终止线程通常都是一种糟糕的模式。考虑以下情况:
线程持有一个必须正确关闭的关键资源 线程创建了其他几个线程,这些线程也必须被杀死。
如果你能负担得起(如果你在管理自己的线程),处理这个问题的好方法是有一个exit_request标志,每个线程都会定期检查它,看看它是否到了退出的时候。
例如:
import threading
class StoppableThread(threading.Thread):
"""Thread class with a stop() method. The thread itself has to check
regularly for the stopped() condition."""
def __init__(self, *args, **kwargs):
super(StoppableThread, self).__init__(*args, **kwargs)
self._stop_event = threading.Event()
def stop(self):
self._stop_event.set()
def stopped(self):
return self._stop_event.is_set()
在这段代码中,当您希望线程退出时,应该在线程上调用stop(),并使用join()等待线程正确退出。线程应该定期检查停止标志。
然而,在某些情况下,您确实需要终止一个线程。例如,当您正在包装一个外部库时,该库正忙于长时间的调用,并且您希望中断它。
下面的代码允许(有一些限制)在Python线程中引发异常:
def _async_raise(tid, exctype):
'''Raises an exception in the threads with id tid'''
if not inspect.isclass(exctype):
raise TypeError("Only types can be raised (not instances)")
res = ctypes.pythonapi.PyThreadState_SetAsyncExc(ctypes.c_long(tid),
ctypes.py_object(exctype))
if res == 0:
raise ValueError("invalid thread id")
elif res != 1:
# "if it returns a number greater than one, you're in trouble,
# and you should call it again with exc=NULL to revert the effect"
ctypes.pythonapi.PyThreadState_SetAsyncExc(ctypes.c_long(tid), None)
raise SystemError("PyThreadState_SetAsyncExc failed")
class ThreadWithExc(threading.Thread):
'''A thread class that supports raising an exception in the thread from
another thread.
'''
def _get_my_tid(self):
"""determines this (self's) thread id
CAREFUL: this function is executed in the context of the caller
thread, to get the identity of the thread represented by this
instance.
"""
if not self.isAlive():
raise threading.ThreadError("the thread is not active")
# do we have it cached?
if hasattr(self, "_thread_id"):
return self._thread_id
# no, look for it in the _active dict
for tid, tobj in threading._active.items():
if tobj is self:
self._thread_id = tid
return tid
# TODO: in python 2.6, there's a simpler way to do: self.ident
raise AssertionError("could not determine the thread's id")
def raiseExc(self, exctype):
"""Raises the given exception type in the context of this thread.
If the thread is busy in a system call (time.sleep(),
socket.accept(), ...), the exception is simply ignored.
If you are sure that your exception should terminate the thread,
one way to ensure that it works is:
t = ThreadWithExc( ... )
...
t.raiseExc( SomeException )
while t.isAlive():
time.sleep( 0.1 )
t.raiseExc( SomeException )
If the exception is to be caught by the thread, you need a way to
check that your thread has caught it.
CAREFUL: this function is executed in the context of the
caller thread, to raise an exception in the context of the
thread represented by this instance.
"""
_async_raise( self._get_my_tid(), exctype )
(根据Tomer Filiba的《Killable Threads》改编。关于PyThreadState_SetAsyncExc返回值的引用似乎来自旧版本的Python。)
正如文档中所指出的,这不是一个神奇的子弹,因为如果线程在Python解释器之外忙,它将不会捕获中断。
这段代码的一个良好使用模式是让线程捕获特定的异常并执行清理。这样,您可以中断任务,但仍然可以进行适当的清理。
Python版本:3.8
使用守护线程来执行我们想要的,如果我们想要终止守护线程,我们只需要让父线程退出,然后系统就会终止父线程创建的守护线程。
还支持协程和协程函数。
def main():
start_time = time.perf_counter()
t1 = ExitThread(time.sleep, (10,), debug=False)
t1.start()
time.sleep(0.5)
t1.exit()
try:
print(t1.result_future.result())
except concurrent.futures.CancelledError:
pass
end_time = time.perf_counter()
print(f"time cost {end_time - start_time:0.2f}")
下面是ExitThread源代码
import concurrent.futures
import threading
import typing
import asyncio
class _WorkItem(object):
""" concurrent\futures\thread.py
"""
def __init__(self, future, fn, args, kwargs, *, debug=None):
self._debug = debug
self.future = future
self.fn = fn
self.args = args
self.kwargs = kwargs
def run(self):
if self._debug:
print("ExitThread._WorkItem run")
if not self.future.set_running_or_notify_cancel():
return
try:
coroutine = None
if asyncio.iscoroutinefunction(self.fn):
coroutine = self.fn(*self.args, **self.kwargs)
elif asyncio.iscoroutine(self.fn):
coroutine = self.fn
if coroutine is None:
result = self.fn(*self.args, **self.kwargs)
else:
result = asyncio.run(coroutine)
if self._debug:
print("_WorkItem done")
except BaseException as exc:
self.future.set_exception(exc)
# Break a reference cycle with the exception 'exc'
self = None
else:
self.future.set_result(result)
class ExitThread:
""" Like a stoppable thread
Using coroutine for target then exit before running may cause RuntimeWarning.
"""
def __init__(self, target: typing.Union[typing.Coroutine, typing.Callable] = None
, args=(), kwargs={}, *, daemon=None, debug=None):
#
self._debug = debug
self._parent_thread = threading.Thread(target=self._parent_thread_run, name="ExitThread_parent_thread"
, daemon=daemon)
self._child_daemon_thread = None
self.result_future = concurrent.futures.Future()
self._workItem = _WorkItem(self.result_future, target, args, kwargs, debug=debug)
self._parent_thread_exit_lock = threading.Lock()
self._parent_thread_exit_lock.acquire()
self._parent_thread_exit_lock_released = False # When done it will be True
self._started = False
self._exited = False
self.result_future.add_done_callback(self._release_parent_thread_exit_lock)
def _parent_thread_run(self):
self._child_daemon_thread = threading.Thread(target=self._child_daemon_thread_run
, name="ExitThread_child_daemon_thread"
, daemon=True)
self._child_daemon_thread.start()
# Block manager thread
self._parent_thread_exit_lock.acquire()
self._parent_thread_exit_lock.release()
if self._debug:
print("ExitThread._parent_thread_run exit")
def _release_parent_thread_exit_lock(self, _future):
if self._debug:
print(f"ExitThread._release_parent_thread_exit_lock {self._parent_thread_exit_lock_released} {_future}")
if not self._parent_thread_exit_lock_released:
self._parent_thread_exit_lock_released = True
self._parent_thread_exit_lock.release()
def _child_daemon_thread_run(self):
self._workItem.run()
def start(self):
if self._debug:
print(f"ExitThread.start {self._started}")
if not self._started:
self._started = True
self._parent_thread.start()
def exit(self):
if self._debug:
print(f"ExitThread.exit exited: {self._exited} lock_released: {self._parent_thread_exit_lock_released}")
if self._parent_thread_exit_lock_released:
return
if not self._exited:
self._exited = True
if not self.result_future.cancel():
if self.result_future.running():
self.result_future.set_exception(concurrent.futures.CancelledError())
这是一个糟糕的答案,请看评论
以下是如何做到这一点:
from threading import *
...
for thread in enumerate():
if thread.isAlive():
try:
thread._Thread__stop()
except:
print(str(thread.getName()) + ' could not be terminated'))
给它几秒钟,然后你的线程应该停止。还要检查thread._Thread__delete()方法。
为了方便,我建议使用thread.quit()方法。例如,如果你的线程中有一个套接字,我建议在你的套接字句柄类中创建一个quit()方法,终止套接字,然后在你的quit()中运行一个thread. _thread__stop()。
这是基于thread2—可杀死线程ActiveState配方。
您需要调用PyThreadState_SetAsyncExc(),它只能通过ctypes模块使用。
这只在Python 2.7.3上进行了测试,但它很可能与最近的其他2一起工作。x版本。PyThreadState_SetAsyncExc()仍然存在于Python 3中以实现向后兼容性(但我还没有测试它)。
import ctypes
def terminate_thread(thread):
"""Terminates a python thread from another thread.
:param thread: a threading.Thread instance
"""
if not thread.isAlive():
return
exc = ctypes.py_object(SystemExit)
res = ctypes.pythonapi.PyThreadState_SetAsyncExc(
ctypes.c_long(thread.ident), exc)
if res == 0:
raise ValueError("nonexistent thread id")
elif res > 1:
# """if it returns a number greater than one, you're in trouble,
# and you should call it again with exc=NULL to revert the effect"""
ctypes.pythonapi.PyThreadState_SetAsyncExc(thread.ident, None)
raise SystemError("PyThreadState_SetAsyncExc failed")
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