python-如何获取特定类启动的活动线程数? [英] python - how to get the number of active threads started by specific class?

问题描述

代码如下所示:

class workers1(Thread):
...   def __init__(self):
...      Thread.__init__(self)
...   def run(self):
...      ...do some stuff 

class workers2(Thread):
...   def __init__(self):
...      Thread.__init__(self)
...   def run(self):
...      ...do some stuff 


if __name__ == "__main__":
...   start workers 
while True: 
    print "Number of threads active", threading.activeCount()
    print "Number of worker1 threads", ?????, "Number of worker2 threads", ?????

有没有一种方法可以通过发起类来获取活动线程的数量?

Is there a way to get the number of threads being active by originating class ?

推荐答案

这是对Doug Hellman的多处理ActivePool示例代码(以使用线程).这个想法是让您的工作人员在一个池中注册自己，使用线程锁定来结束他们的注册，以协调对池的活动列表的修改:

This is a minor modification of Doug Hellman's multiprocessing ActivePool example code (to use threading). The idea is to have your workers register themselves in a pool, unregister themselves when they finish, using a threading.Lock to coordinate modification of the pool's active list:

import threading
import time
import random

class ActivePool(object):
    def __init__(self):
        super(ActivePool, self).__init__()
        self.active=[]
        self.lock=threading.Lock()
    def makeActive(self, name):
        with self.lock:
            self.active.append(name)
    def makeInactive(self, name):
        with self.lock:
            self.active.remove(name)
    def numActive(self):
        with self.lock:
            return len(self.active)
    def __str__(self):
        with self.lock:
            return str(self.active)
def worker(pool):
    name=threading.current_thread().name
    pool.makeActive(name)
    print 'Now running: %s' % str(pool)
    time.sleep(random.randint(1,3))
    pool.makeInactive(name)

if __name__=='__main__':
    poolA=ActivePool()
    poolB=ActivePool()    
    jobs=[]
    for i in range(5):
        jobs.append(
            threading.Thread(target=worker, name='A{0}'.format(i),
                             args=(poolA,)))
        jobs.append(
            threading.Thread(target=worker, name='B{0}'.format(i),
                             args=(poolB,)))
    for j in jobs:
        j.daemon=True
        j.start()
    while threading.activeCount()>1:
        for j in jobs:
            j.join(1)
            print 'A-threads active: {0}, B-threads active: {1}'.format(
                poolA.numActive(),poolB.numActive())

收益

Now running: ['A0']
Now running: ['B0']
Now running: ['A0', 'A1']
Now running: ['B0', 'B1']
 Now running: ['A0', 'A1', 'A2']
 Now running: ['B0', 'B1', 'B2']
Now running: ['A0', 'A1', 'A2', 'A3']
Now running: ['B0', 'B1', 'B2', 'B3']
Now running: ['A0', 'A1', 'A2', 'A3', 'A4']
Now running: ['B0', 'B1', 'B2', 'B3', 'B4']
A-threads active: 4, B-threads active: 5
A-threads active: 2, B-threads active: 5
A-threads active: 0, B-threads active: 3
A-threads active: 0, B-threads active: 3
A-threads active: 0, B-threads active: 3
A-threads active: 0, B-threads active: 3
A-threads active: 0, B-threads active: 3
A-threads active: 0, B-threads active: 0
A-threads active: 0, B-threads active: 0
A-threads active: 0, B-threads active: 0

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