我对Python和多线程编程非常陌生。基本上,我有一个脚本,将文件复制到另一个位置。我想把这个放在另一个线程,这样我就可以输出....表示脚本仍在运行。

我遇到的问题是,如果文件不能复制,它将抛出异常。如果在主线程中运行,这是可以的;但是,使用以下代码是无效的:

try:
    threadClass = TheThread(param1, param2, etc.)
    threadClass.start()   ##### **Exception takes place here**
except:
    print "Caught an exception"

在线程类本身中,我试图重新抛出异常,但它不起作用。我在这里看到有人问类似的问题,但他们似乎都在做一些比我试图做的更具体的事情(我不太理解所提供的解决方案)。我看到有人提到sys.exc_info()的用法,但我不知道在哪里或如何使用它。

编辑:线程类的代码如下:

class TheThread(threading.Thread):
    def __init__(self, sourceFolder, destFolder):
        threading.Thread.__init__(self)
        self.sourceFolder = sourceFolder
        self.destFolder = destFolder
    
    def run(self):
        try:
           shul.copytree(self.sourceFolder, self.destFolder)
        except:
           raise

当前回答

我认为其他的解决方案有点复杂,如果你唯一想要的是真正看到某个异常,而不是完全无视和盲目。

解决方案是创建一个自定义线程,从主线程获取记录器并记录任何异常。

class ThreadWithLoggedException(threading.Thread):
    """
    Similar to Thread but will log exceptions to passed logger.

    Args:
        logger: Logger instance used to log any exception in child thread

    Exception is also reachable via <thread>.exception from the main thread.
    """

    def __init__(self, *args, **kwargs):
        try:
            self.logger = kwargs.pop("logger")
        except KeyError:
            raise Exception("Missing 'logger' in kwargs")
        super().__init__(*args, **kwargs)
        self.exception = None

    def run(self):
        try:
            if self._target is not None:
                self._target(*self._args, **self._kwargs)
        except Exception as exception:
            thread = threading.current_thread()
            self.exception = exception
            self.logger.exception(f"Exception in child thread {thread}: {exception}")
        finally:
            del self._target, self._args, self._kwargs

例子:

logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
logger.addHandler(logging.StreamHandler())

def serve():
    raise Exception("Earth exploded.")

th = ThreadWithLoggedException(target=serve, logger=logger)
th.start()

主线程输出:

Exception in child thread <ThreadWithLoggedException(Thread-1, started 139922384414464)>: Earth exploded.
Traceback (most recent call last):
  File "/core/utils.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "/myapp.py", line 105, in serve
    raise Exception("Earth exploded.")
Exception: Earth exploded.

其他回答

并发。Futures模块使得在单独的线程(或进程)中工作并处理任何由此产生的异常变得简单:

import concurrent.futures
import shutil

def copytree_with_dots(src_path, dst_path):
    with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor:
        # Execute the copy on a separate thread,
        # creating a future object to track progress.
        future = executor.submit(shutil.copytree, src_path, dst_path)

        while future.running():
            # Print pretty dots here.
            pass

        # Return the value returned by shutil.copytree(), None.
        # Raise any exceptions raised during the copy process.
        return future.result()

并发。futures包含在Python 3.2中,并可作为早期版本的反向移植futures模块使用。

在Python 3.8中,我们可以使用线程。Excepthook在所有子线程中钩住未捕获的异常!例如,

threading.excepthook = thread_exception_handler

推荐人:https://stackoverflow.com/a/60002752/5093308

如果在线程中发生异常,最好的方法是在连接期间在调用线程中重新引发它。您可以使用sys.exc_info()函数获取当前正在处理的异常的信息。此信息可以简单地存储为线程对象的属性,直到调用join,此时可以重新引发它。

注意,队列。队列(在其他回答中建议)在这个简单的情况下是不必要的,因为线程最多抛出1个异常,并且在抛出一个异常后立即完成。我们通过简单地等待线程完成来避免竞争条件。

例如,扩展ExcThread(如下),覆盖excRun(而不是run)。

Python 2. x:

import threading

class ExcThread(threading.Thread):
  def excRun(self):
    pass

  def run(self):
    self.exc = None
    try:
      # Possibly throws an exception
      self.excRun()
    except:
      import sys
      self.exc = sys.exc_info()
      # Save details of the exception thrown but don't rethrow,
      # just complete the function

  def join(self):
    threading.Thread.join(self)
    if self.exc:
      msg = "Thread '%s' threw an exception: %s" % (self.getName(), self.exc[1])
      new_exc = Exception(msg)
      raise new_exc.__class__, new_exc, self.exc[2]

Python 3. x:

在Python 3中,raise的参数形式为3,因此将最后一行更改为:

raise new_exc.with_traceback(self.exc[2])

我使用这个版本,它是最小的,它工作得很好。

class SafeThread(threading.Thread):
    def __init__(self, *args, **kwargs):
        super(SafeThread, self).__init__(*args, **kwargs)
        self.exception = None

    def run(self) -> None:
        try:
            super(SafeThread, self).run()
        except Exception as ex:
            self.exception = ex
            traceback.print_exc()

    def join(self, *args, **kwargs) -> None:
        super(SafeThread, self).join(*args, **kwargs)
        if self.exception:
            raise self.exception

要使用它,只需替换线程。带安全线程的线程

t = SafeThread(target = some_function, args = (some, args,))
t.start()
# do something else here if you want as the thread runs in the background
t.join()

捕获线程异常并与调用方方法通信的一个简单方法是将字典或列表传递给worker方法。

示例(将字典传递给工作方法):

import threading

def my_method(throw_me):
    raise Exception(throw_me)

def worker(shared_obj, *args, **kwargs):
    try:
        shared_obj['target'](*args, **kwargs)
    except Exception as err:
        shared_obj['err'] = err

shared_obj = {'err':'', 'target': my_method}
throw_me = "Test"

th = threading.Thread(target=worker, args=(shared_obj, throw_me), kwargs={})
th.start()
th.join()

if shared_obj['err']:
    print(">>%s" % shared_obj['err'])