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我想用ViewFlow 库实现以下用例:

问题

由用户启动的特定 Flow 的进程必须在队列中等待,然后才能执行 celery 作业。每个用户都有这些进程的队列。根据计划或手动触发,允许队列中的下一个进程继续进行。

例子

我的流程中的一个节点进入一个命名队列。应用程序中的其他逻辑为每个队列确定何时允许下一个任务继续进行。选择队列中的下一个任务并调用其激活的 done() 方法。

示例流程可能如下所示:

class MyFlow(Flow):

    start = flow.Start(...).Next(queue_wait)
    queue_wait = QueueWait("myQueue").Next(job)
    job = celery.Job(...).Next(end)
    end = flow.End()

问题

实现排队的最佳方法是什么?在上面的例子中,我不知道“QueueWait”应该是什么。

我已经阅读了文档和视图流代码,但我还不清楚这是否可以使用内置的 Node 和 Activation 类(例如 func.Function)来完成,或者我是否需要使用自定义类进行扩展。

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1 回答 1

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经过大量实验,我得出了一个可行且简单的解决方案:

from viewflow.flow import base
from viewflow.flow.func import FuncActivation
from viewflow.activation import STATUS


class Queue(base.NextNodeMixin,
            base.UndoViewMixin,
            base.CancelViewMixin,
            base.DetailsViewMixin,
            base.Event):

    """
    Node that halts the flow and waits in a queue. To process the next waiting task
    call the dequeue method, optionally specifying the task owner.

    Example placing a job in a queue::

        class MyFlow(Flow):
            wait = Queue().Next(this.job)
            job = celery.Job(send_stuff).Next(this.end)
            end = flow.End()

        somewhere in the application code:
        MyFlow.wait.dequeue()
        or:
        MyFlow.wait.dequeue(process__myprocess__owner=user)

    Queues are logically separated by the task_type, so new queues defined in a
    subclass by overriding task_type attribute.
    """

    task_type = 'QUEUE'
    activation_cls = FuncActivation

    def __init__(self, **kwargs):
        super(Queue, self).__init__(**kwargs)

    def dequeue(self, **kwargs):
        """
        Process the next task in the queue by created date/time. kwargs is
        used to add task filter arguments, thereby effectively splitting the queue
        into subqueues. This could be used to implement per-user queues.

        Returns True if task was found and dequeued, False otherwise
        """
        filter_kwargs = {'flow_task_type': self.task_type, 'status': STATUS.NEW}
        if kwargs is not None:
            filter_kwargs.update(kwargs)

        task = self.flow_cls.task_cls.objects.filter(**filter_kwargs).order_by('created').first()
        if task is not None:
            lock = self.flow_cls.lock_impl(self.flow_cls.instance)
            with lock(self.flow_cls, task.process_id):
                task = self.flow_cls.task_cls._default_manager.get(pk=task.pk)
                activation = self.activation_cls()
                activation.initialize(self, task)
                activation.prepare()
                activation.done()
            return True

        return False

我试图使其尽可能通用并支持多个命名队列以及子队列的定义,例如每个用户的队列。

于 2015-07-29T16:52:13.083 回答