如何生成通知并从函数返回结果？ （蟒蛇）

Question

我必须创建一个在内部调用中做一些艰苦工作的函数。此函数需要是生成器，因为我正在使用Server-Sent Events。所以，我希望这个函数通过使用“yield”来通知计算的进度。之后，此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

我找到了一个解决方案，它包含一个字典，告诉函数是否已经完成，但执行此操作的代码非常脏。

还有其他解决方案吗？

谢谢！

EDIT

我想的是：

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)

但是我收到了这个错误：

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

Answer 1

Prior to Python3.5: generators

这个解决方案也适用于更新的Python版本，尽管Python3.5中新增的async def似乎更适合您的用例。见下一节。

通过迭代或使用next获得生成器产生的值。最后返回的值存储在value异常的StopIteration属性中，该属性指示生成器的结束。幸运的是，恢复并不难。

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

例

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

产量

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 +，那么您尝试的内容似乎非常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())

产量

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]

Answer 2

我的建议是将您的功能嵌入到课堂中。

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throw-catch逻辑编写逻辑。