如果子线程引发异常,则打破主要调用线程

时间:2017-10-05 10:09:06

标签: python multithreading exception-handling

我使用带有Callables列表的threading.Thread和t.start()来执行长时间运行的多线程处理。我的主线程被阻塞,直到所有线程完成。但是,我想t.start()立即返回,如果其中一个Callables抛出异常并终止其他线程。

使用t.join()检查线程是否已执行,不会提供有关异常导致的失败的信息。

以下是代码:

import json
import requests


class ThreadServices:
    def __init__(self):
        self.obj = ""

    def execute_services(self, arg1, arg2):
        try:
            result = call_some_process(arg1, arg2) #some method
            #save results somewhere
        except Exception, e:
            # raise exception
            print e

    def invoke_services(self, stubs):
       """
       Thread Spanning Function        
       """
       try:
           p1 = ""  #some value
           p2 = ""  #some value
           # Call service 1
           t1 = threading.Thread(target=self.execute_services, args=(a, b,)

           # Start thread
           t1.start()
           # Block till thread completes execution
           t1.join()

           thread_pool = list()
           for stub in stubs:
               # Start parallel execution of threads
               t = threading.Thread(target=self.execute_services,
                                          args=(p1, p2))
               t.start()
               thread_pool.append(t)
            for thread in thread_pool:
                # Block till all the threads complete execution: Wait for all 
                the parallel tasks to complete
                thread.join()

            # Start another process thread
            t2 = threading.Thread(target=self.execute_services,
                                           args=(p1, p2)
            t2.start()
            # Block till this thread completes execution
            t2.join()

            requests.post(url, data= json.dumps({status_code=200}))
        except Exception, e:
            print e
            requests.post(url, data= json.dumps({status_code=500}))
        # Don't return anything as this function is invoked as a thread from 
        #  main calling function


class Service(ThreadServices):
    """
    Service Class
    """

    def main_thread(self, request, context):
        """
        Main Thread:Invokes Task Execution Sequence in ThreadedService        
        :param request: 
        :param context:
        :return: 
        """
        try:
            main_thread = threading.Thread(target=self.invoke_services,
                                       args=(request,))
            main_thread.start()
            return True
        except Exception, e:
            return False

当我调用Service()。main_thread(请求,上下文)并且执行t1时有一些异常,我需要在main_thread中引发它并返回False。我该如何为这个结构实现它。谢谢!

1 个答案:

答案 0 :(得分:0)

首先,你太过复杂了。我会这样做:

from thread import start_new_thread as thread
from time import sleep

class Task:
    """One thread per task.
    This you should do with subclassing threading.Thread().
    This is just conceptual example.
    """
    def __init__ (self, func, args=(), kwargs={}):
        self.func = func
        self.args = args
        self.kwargs = kwargs
        self.error = None
        self.done = 0
        self.result = None

    def _run (self):
        self.done = 0
        self.error = None
        self.result = None
        # So this is what you should do in subclassed Thread():
        try: self.result = self.func(*self.args, **self.kwargs)
        except Exception, e:
            self.error = e
        self.done = 1

    def start (self):
        thread(self._run,())

    def wait (self, retrexc=1):
        """Used in place of threading.Thread.join(), but it returns the result of the function self.func() and manages errors.."""
        while not self.done: sleep(0.001)
        if self.error:
            if retrexc: return self.error
            raise self.error
        return self.result

# And this is how you should use your pool:
def do_something (tasknr):
    print tasknr-20
    if tasknr%7==0: raise Exception, "Dummy exception!"
    return tasknr**120/82.0

pool = []
for task in xrange(20, 50):
    t = Task(do_something, (task,))
    pool.append(t)
# And only then wait for each one:
results = []
for task in pool:
    results.append(task.wait())
print results

这样你可以使task.wait()引发错误。该线程已经停止。因此,您需要做的就是在完成后从池或整个池中删除它们的引用。你甚至可以:

results = []
for task in pool:
    try: results.append(task.wait(0))
    except Exception, e:
        print task.args, "Error:", str(e)
print results

现在,不要严格使用这个(我的意思是Task()类),因为它需要添加很多东西才能用于真实。

只需子类化threading.Thread()并通过重写run()和join()或添加wait()等新函数来实现类似的概念。

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