如何产生通知并从函数返回结果? (Python)

时间:2018-09-06 13:18:27

标签: python generator yield server-sent-events

我必须创建一个在内部调用中进行一些艰苦工作的函数。该函数必须是生成器,因为我正在使用服务器发送的事件。因此,我希望此函数通过使用“收益”来通知计算进度。之后,该函数必须将结果传递给父函数,以便继续进行其他计算。

我想要这样的东西:

def hardWork():
    for i in range(N):
        # hard work
        yield 'Work done: ' + str(i)

    # Here is the problem: I can't return a result if I use a yield
    return result             

def generator():
    # do some calculations
    result = hardWork()
    # do other calculations with this result
    yield finalResult

我发现一个基于的解决方案产生了一个字典,该字典可以告诉函数是否已完成,但是执行此操作的代码很脏。

还有其他解决方法吗?

谢谢!

编辑

我想到了类似的东西

def innerFunction(gen):
    calc = 1

    for iteration in range(10):
        for i in range(50000):
            calc *= random.randint(0, 10)
        gen.send(iteration)

    yield calc


def calcFunction(gen):
    gen2 = innerFunction(gen)
    r = next(gen2)

    gen.send("END: " + str(r + 1))
    gen.send(None)


def notifier():
    while True:
        x = yield
        if x is None:
            return
        yield "Iteration " + x


def generator():
    noti = notifier()
    calcFunction(noti)
    yield from noti


for g in generator():
    print(g)

但是我收到此错误:

TypeError: can't send non-None value to a just-started generator

3 个答案:

答案 0 :(得分:0)

Python3.5之前的版本:生成器

此解决方案也适用于最新的Python版本,尽管Python3.5中的async def似乎更适合您的用例。 请参阅下一部分

通过迭代或使用next获得生成器产生的值。在结尾处返回的值存储在value异常的StopIteration属性中,该属性指示生成器的结尾。幸运的是,恢复起来并不难。

def hardWork():
    output = []

    for i in range(10):
        # hard work
        yield 'Doing ' + str(i)
        output.append(i ** 2)

    return output

def generator():
    # do some calculations
    work = hardWork()

    while True:
        try:
            print(next(work))
        except StopIteration as e:
            result = e.value
            break

    yield result

示例

foo = generator()
print(next(foo))

输出

Doing 0
Doing 1
Doing 2
Doing 3
Doing 4
Doing 5
Doing 6
Doing 7
Doing 8
Doing 9
[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]

Python3.5 +:async def

如果您正在运行Python3.5 +,则您尝试的操作似乎完全适合使用等待函数的事件循环。

import asyncio

async def hardWork():
    output = []

    for i in range(10):
        # do hard work
        print('Doing ', i)
        output.append(i**2)

        # Break point to allow the event loop to do other stuff on the side
        await asyncio.sleep(0)

    return output

async def main():
    result = await asyncio.wait_for(hardWork(), timeout=None)
    print(result)

loop = asyncio.get_event_loop()

loop.run_until_complete(main())

输出

Doing  0
Doing  1
Doing  2
Doing  3
Doing  4
Doing  5
Doing  6
Doing  7
Doing  8
Doing  9
[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]

答案 1 :(得分:0)

我的建议是将您的功能嵌入类中。

def Worker:

    def hardWork(self):
        self.Finished = False
        for i in range(10):
            yield 'Work done: ' + str(i)
        self.Finished = True
        self.Result = 'result'

    def generator(self):
        while (not self.Finished):
            print(next(self.hardWork()))
        return self.Result

这将具有您想要的功能,而不必担心围绕异常抛出捕获逻辑对逻辑进行编程。

答案 2 :(得分:0)

Python 3.3引入了yield from for generator delegation,几乎完全符合您的要求。 yield from允许主生成器将功能委派给另一个包含yield语句的函数,如下所示:

def hardWork():
    for i in range(N):
        # hard work
        yield 'Work done so far: ' + str(i)

    # With this construction, you can still return a result after the `yield`s
    return result

def generator():
    # here's the new construction that makes it all work:
    result = yield from hardWork()

    # do other calculations with this result
    yield finalResult