我正在嘗試使用this example作爲我的cherrypy應用程序上排隊系統的模板。多重處理在Ubuntu中運行,不在Windows中
我能夠將它從python 2轉換爲python 3(將from Queue import Empty
更改爲from queue import Empty
)並在Ubuntu中執行它。但是,當我在Windows中執行它,我得到以下錯誤:
F:\workspace\test>python test.py
Traceback (most recent call last):
File "test.py", line 112, in <module>
broker.start()
File "C:\Anaconda3\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Anaconda3\lib\multiprocessing\context.py", line 212, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Anaconda3\lib\multiprocessing\context.py", line 313, in _Popen
return Popen(process_obj)
File "C:\Anaconda3\lib\multiprocessing\popen_spawn_win32.py", line 66, in __init__
reduction.dump(process_obj, to_child)
File "C:\Anaconda3\lib\multiprocessing\reduction.py", line 59, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: cannot serialize '_io.TextIOWrapper' object
F:\workspace\test>Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\Anaconda3\lib\multiprocessing\spawn.py", line 100, in spawn_main
new_handle = steal_handle(parent_pid, pipe_handle)
File "C:\Anaconda3\lib\multiprocessing\reduction.py", line 81, in steal_handle
_winapi.PROCESS_DUP_HANDLE, False, source_pid)
OSError: [WinError 87] The parameter is incorrect
下面是完整的代碼:
# from http://www.defuze.org/archives/198-managing-your-process-with-the-cherrypy-bus.html
import sys
import logging
from logging import handlers
from cherrypy.process import wspbus
class MyBus(wspbus.Bus):
def __init__(self, name=""):
wspbus.Bus.__init__(self)
self.open_logger(name)
self.subscribe("log", self._log)
def exit(self):
wspbus.Bus.exit(self)
self.close_logger()
def open_logger(self, name=""):
logger = logging.getLogger(name)
logger.setLevel(logging.INFO)
h = logging.StreamHandler(sys.stdout)
h.setLevel(logging.INFO)
h.setFormatter(logging.Formatter("[%(asctime)s] %(name)s - %(levelname)s - %(message)s"))
logger.addHandler(h)
self.logger = logger
def close_logger(self):
for handler in self.logger.handlers:
handler.flush()
handler.close()
def _log(self, msg="", level=logging.INFO):
self.logger.log(level, msg)
import random
import string
from multiprocessing import Process
class Bank(object):
def __init__(self, queue):
self.bus = MyBus(Bank.__name__)
self.queue = queue
self.bus.subscribe("main", self.randomly_place_order)
self.bus.subscribe("exit", self.terminate)
def randomly_place_order(self):
order = random.sample(['BUY', 'SELL'], 1)[0]
code = random.sample(string.ascii_uppercase, 4)
amount = random.randint(0, 100)
message = "%s %s %d" % (order, ''.join(code), amount)
self.bus.log("Placing order: %s" % message)
self.queue.put(message)
def run(self):
self.bus.start()
self.bus.block(interval=0.01)
def terminate(self):
self.bus.unsubscribe("main", self.randomly_place_order)
self.bus.unsubscribe("exit", self.terminate)
from queue import Empty
class Broker(Process):
def __init__(self, queue):
Process.__init__(self)
self.queue = queue
self.bus = MyBus(Broker.__name__)
self.bus.subscribe("main", self.check)
def check(self):
try:
message = self.queue.get_nowait()
except Empty:
return
if message == "stop":
self.bus.unsubscribe("main", self.check)
self.bus.exit()
elif message.startswith("BUY"):
self.buy(*message.split(' ', 2)[1:])
elif message.startswith("SELL"):
self.sell(*message.split(' ', 2)[1:])
def run(self):
self.bus.start()
self.bus.block(interval=0.01)
def stop(self):
self.queue.put("stop")
def buy(self, code, amount):
self.bus.log("BUY order placed for %s %s" % (amount, code))
def sell(self, code, amount):
self.bus.log("SELL order placed for %s %s" % (amount, code))
if __name__ == '__main__':
from multiprocessing import Queue
queue = Queue()
broker = Broker(queue)
broker.start()
bank = Bank(queue)
bank.run()
哇,我印象深刻!很好的解釋。 – stenci
嗯...在Windows中缺少'fork()'也意味着爲了在一個擁有數百個類的大型Web應用程序上運行一個小類的小方法,整個shebang將在每次從頭開始被解釋新流程開始了嗎?這是我應該擔心的事嗎? – stenci
@stenci腳本中的__main__'模塊將被重新導入到孩子中,並且您調用方法的整個狀態將被醃製併發送給孩子。如果你在'if __name__ ==「__main __」:'guard中創建了其他類(你應該這樣做),而且你的小類沒有任何其他類的引用,它們將不會被醃製併發送給或重新輸入兒童。要記住的最重要的事情是用'if __name__ ==「__main __」:'來保護你不想在孩子中重新運行的東西。 – dano