让 python 生成器在后台运行

现在我有一些代码大致执行以下操作

def generator():

    while True:
        value = do_some_lengthy_IO()
        yield value 

def model():

    for datapoint in generator():
        do_some_lengthy_computation(datapoint)

Right now, the I/O and the computation happen in serial. Ideally the should be running in parallel concurrently (the generator having ready the next value) since they share nothing but the value being passed. I started looking into this and got very confused with the multiprocessing, threading, and async stuff and could not get a minimal working example going. Also, since some of this seems to be recent features, I am using Python 3.6.

我最终弄清楚了。最简单的方法是使用multiprocessing封装并使用管道与子进程通信。我写了一个可以接受任何生成器的包装器

import time
import multiprocessing

def bg(gen):
    def _bg_gen(gen, conn):
        while conn.recv():
            try:
                conn.send(next(gen))
            except StopIteration:
                conn.send(StopIteration)
                return

    parent_conn, child_conn = multiprocessing.Pipe()
    p = multiprocessing.Process(target=_bg_gen, args=(gen, child_conn))
    p.start()

    parent_conn.send(True)
    while True:
        parent_conn.send(True)
        x = parent_conn.recv()
        if x is StopIteration:
            return
        else:
            yield x

def generator(n):
    for i in range(n):
        time.sleep(1)
        yield i

#This takes 2s/iteration
for i in generator(100):
    time.sleep(1)

#This takes 1s/iteration
for i in bg(generator(100)):
    time.sleep(1)

现在唯一缺少的是，对于无限生成器，该进程永远不会被终止，但可以通过执行以下操作轻松添加parent_conn.send(False).