Question

我目前拥有以下代码，灵感来自Non-blocking read on a subprocess.PIPE in python的答案。它似乎工作正常，将行输出到屏幕，但它只对第一个创建的进程执行此操作，所有其他进程（正在运行）不会打印任何数据。

如何确保我可以从多个子进程中读取数据（以非阻塞方式）？

#!/usr/bin/env python
import sys
import os
import subprocess
from threading import Thread
from Queue import Queue, Empty

STREAMER_URL = 'rtmp://127.0.0.1/app'
RTMPDUMP_EXECUTEABLE = 'rtmpdump'

def enqueue_output(out, queue):
    for line in iter(lambda: out.read(16), b''):
        queue.put(line)
    out.close()

def download_rtmp(media, filename):
  # Create parameters
  args=[RTMPDUMP_EXECUTEABLE]
  args.extend(['-r',media[0],'-y',media[1]])

  # Set output file
  OUTPUT_FILE = filename
  args.extend(['-o',OUTPUT_FILE])

  # Send rtmpdump any extra arguments
  if len(sys.argv) > 2:
    args.extend(sys.argv[2:])

  # Execute rtmpdump
  p = subprocess.Popen(args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT )
  q = Queue()
  t = Thread(target=enqueue_output, args=(p.stdout, q))
  t.daemon = True # thread dies with the program
  t.start()
  return (p, q, t)

def main():

  # actual data is from somewhere else on the internet
  for (name, playpath, filepath) in data:
    print 'Spawning %s download...' % name
    PROCESSES.append(download_rtmp((STREAMER_URL, playpath), filepath))

  BUFS = dict()

  # infinite loop checking if all processes have finished
  while True:
    done = True
    for (process, queue, thread) in PROCESSES:
      try:
        readdata = queue.get_nowait()
      except Empty:
        pass
      else:
        if process in BUFS:
          readdata = BUFS[process] + readdata
        lines = readdata.split('\n')
        if len(lines) > 1:
          for line in lines[:-1]:
            print 'Line: %s' % line
        if '\r' in lines[-1]:
          lines = readdata.split('\r')
          for line in lines[:-1]:
            print 'Line2: %s' % line
        BUFS[process] = lines[-1]

      process.poll()

      if process.returncode is None:
        done = False
        break
    if done:
      break

  print "Done"

if __name__ == "__main__":
    main()

Answer 1

我没有想到整件事情，但if process.returncode is None:中的中断意味着在第一个进程完全退出之前，您不会查看其他进程队列。而且我不确定你从哪里获得多队列轮询，但它绝对可怕。

使用所有工作线程使用的单个返回队列可以最好地解决此问题。工作者传递（进程，行）的元组，主线程阻塞等待来自所有工作者的数据。

这实际上是伪代码，但它看起来像：

STREAMER_URL = 'rtmp://127.0.0.1/app'
RTMPDUMP_EXECUTEABLE = 'rtmpdump'

def enqueue_output(process, queue):
    """read process stdout in small chunks and queue for processing"""
    for line in iter(lambda: out.read(16), b''):
        queue.put((process, line))
    process.wait()
    queue.put((process, None))

def download_rtmp(media, filename):
  # Create parameters
  args=[RTMPDUMP_EXECUTEABLE, '-r', media[0], '-y', media[1], '-o', filename]

  # Send rtmpdump any extra arguments
  # if len(sys.argv) > 2: no need for the if in list comprehension
  args.extend(sys.argv[2:])

  # Execute rtmpdump
  p = subprocess.Popen(args, stdout=subprocess.PIPE, stderr=subprocess.STDOUT )
  t = Thread(target=enqueue_output, args=(p, return_q))
  t.daemon = True # thread dies with the program
  t.start()
  return (p, t)

def main():
  THREADS = []
  BUFS = dict()

  # actual data is from somewhere else on the internet
  for (name, playpath, filepath) in data:
    print 'Spawning %s download...' % name
    process, thread = download_rtmp((STREAMER_URL, playpath), filepath)
    BUFS[process] = ''
    THREADS.append(thread)

  # all processes write to return_q and we process them here
  while BUFS:
    process, line = return_q.get()
    readdata = BUFS[process] + (line or '')
    if line is None:
        del BUFS[process]
    # I didn't try to figure this part out... basically, when line is
    # None, process is removed from BUFS so you know your end condition
    # and the following stuff should do its final processing.
    lines = readdata.split('\n')
    if len(lines) > 1:
      for line in lines[:-1]:
        print 'Line: %s' % line
    if '\r' in lines[-1]:
      lines = readdata.split('\r')
      for line in lines[:-1]:
        print 'Line2: %s' % line
    if line is not None:
        BUFS[process] = lines[-1]

从多个子进程读取非阻塞（Python）

1 个答案: