TypeError: AutoProxy object is not iterable - multiprocessing

consider the following server code :

from multiprocessing.managers import BaseManager, BaseProxy

def baz(aa) :
    print "aaa"
    l = []
    for i in range(3) :
      l.append(aa)
    return l

class SolverManager(BaseManager): pass

manager = SolverManager(address=('127.0.0.1', 50000), authkey='mpm')
manager.register('solver', baz)

server = manager.get_server()
server.serve_forever()

and the associated client :

import sys
from multiprocessing.managers import BaseManager, BaseProxy

class SolverManager(BaseManager): pass

def main(args) :
    SolverManager.register('solver')
    m = SolverManager(address=('127.0.0.1', 50000), authkey='mpm')
    m.connect()

    for i in m.solver(args[1]):
        print i

if __name__ == '__main__':
    sys.exit(main(sys.argv))

I think I'm missing something important here. My guess is that I have to subclass the BaseProxy class to provide an iterable object, but so far I haven't managed to get it right.

when I run the client I get this error :

Traceback (most recent call last):
  File "mpmproxy.py", line 17, in <module>
    sys.exit(main(sys.argv))
  File "mpmproxy.py", line 13, in main
    for i in m.solver(args[1]):
TypeError: 'AutoProxy[solver]' object is not iterable

however if I try to print it, the list is there ... Maybe it has also something to do with the way data is serialized between client and server ...

in the documentation there is a similar case (with a generator) and they use the following class to access the data :

class GeneratorProxy(BaseProxy):
    _exposed_ = ('next', '__next__')
    def __iter__(self):
        return self
    def next(self):
        return self._callmethod('next')
    def 开发者_如何学编程__next__(self):
        return self._callmethod('__next__')

shall I do something similar ? Can anybody give me an example and explain to me how this works ?

update

To clarify : suppose I add the class :

class IteratorProxy(BaseProxy):
    def __iter__(self):
        print self
        return self

and in the client I register the function as

SolverManager.register('solver', proxytype=IteratorProxy)

the error I get is :

$python mpmproxy.py test
['test', 'test', 'test']
Traceback (most recent call last):
  File "mpmproxy.py", line 22, in <module>
    sys.exit(main(sys.argv))
  File "mpmproxy.py", line 18, in main
    for i in m.solver(args[1]):
TypeError: iter() returned non-iterator of type 'IteratorProxy'

I have the impression I'm missing something stupid here ...

update 2

I think I solved this problem:

The point was to get the real value :

for i in m.solver(args[1])._getvalue():
    print i

gosh !!! I'm not sure if this is the correct answer or just a workaround ...

---

Indeed, to be iterable your class needs to define the __iter__ method that BaseProxy defines, so I guess inheritance is the right way to go !

---

While the solution in OPs 2nd update may work, the method _getvalue() is private and therefore shouldn't really be accessed in this way. Why don't you try using the list proxy type instead (from multiprocessing.managers import ListProxy)? While the result returned from the server still won't be iterable, as far as I've seen, you should be able to run the well known .pop() or .pop(i) (where i is an index) on it, which is a publicly available method for the result.