[openstack-dev] [TaskFlow] TaskFlow persistence
Joshua Harlow
harlowja at fastmail.com
Fri Feb 12 07:59:50 UTC 2016
pn kk wrote:
> Hi Joshua,
>
> Yes, sure will do that once I get some window out of my work.
>
> One last query(hopefully :) ) , can the factory method be an instance
> method of a class?
Instance methods are particularly hard to use (since they require an
instance of an object to be useful); so I think the check u have hit is
making sure that if the flow-factory is called to recreate the flow that
it can do so without having import issues. Currently I believe it
doesn't handle instance methods (due to the complexity of needing an
instance attached to that method).
Perhaps what u want is to provide a function that can be found like:
def make_flow_factory():
return FlowFactory().flow_factory
Or make flow_factory a class or static method, which should have the
same/similar effect.
Hope that makes sense (more queries are fine and welcome!)
>
> I tried giving it as "FlowFactory().flow_factory", where FlowFactory is
> my class name. It failed with below error:
> ValueError: Flow factory <bound method FlowFactory.flow_factory of
> <__main__.FlowFactory instance at 0x2b43b48>> is not reimportable by
> name __builtin__.instance.flow_factory
>
> Thanks again
> -Kanthi
>
>
> On Thu, Jan 28, 2016 at 12:29 AM, Joshua Harlow <harlowja at fastmail.com
> <mailto:harlowja at fastmail.com>> wrote:
>
> pn kk wrote:
>
> Hi,
>
> Thanks for the responses. Putting it in a small example
>
> def flow_factory(tmp):
> return lf.Flow('resume from backend example').add(
> TestTask(name='first', test=tmp),
> InterruptTask(name='boom'),
> TestTask(name='second', test="second task"))
>
>
> class TestTask(task.Task):
> def __init__(self, name, provides=None, test, **kwargs):
> self.test=test
> super(TestTask, self).__init__(name, provides, **kwargs)
> def execute(self, *args, **kwargs):
> print('executing %s' % self)
> return 'ok'
>
> class InterruptTask(task.Task):
> def execute(self, *args, **kwargs):
> # DO NOT TRY THIS AT HOME
> engine.suspend()
>
> I was searching for a way in which I can reload the flow after crash
> without passing the parameter "tmp" shown above
> Looks like "load_from_factory" gives this provision.
>
>
> Thanks for the example, ya, this is one such way to do this that u
> have found, there are a few other ways, but that is the main one
> that people should be using.
>
>
>
> engine =
> taskflow.engines.load_from_factory(flow_factory=flow_factory,
> factory_kwargs={"tmp":"test_data"}, book=book, backend=backend)
> engine.run()
>
> Now it suspends after running interrupt task, I can now reload
> the flow
> from the saved factory method without passing parameter again.
> for flow_detail_2 in book:
> engine2 = taskflow.engines.load_from_detail(flow_detail_2,
> backend=backend)
>
> engine2.run()
>
> Let me know if this is ok or is there a better approach to
> achieve this?
>
>
> There are a few other ways, but this one should be the currently
> recommended one.
>
> An idea, do u want to maybe update (submit a review to update) the
> docs, if u didn't find this very easy to figure out so that others
> can more easily figure it out. I'm sure that would be appreciated by
> all.
>
>
> -Thanks
>
>
> On Wed, Jan 27, 2016 at 12:03 AM, Joshua Harlow
> <harlowja at fastmail.com <mailto:harlowja at fastmail.com>
> <mailto:harlowja at fastmail.com <mailto:harlowja at fastmail.com>>>
> wrote:
>
> Hi there,
>
> Michał is correct, it should be saved.
>
> Do u have a small example of what u are trying to do
> because that
> will help determine if what u are doing will be saved or
> whether it
> will not be.
>
> Or even possibly explaining what is being done would be fine to
> (more data/info for me to reason about what should be
> stored in your
> case).
>
> Thanks,
>
> Josh
>
>
> Michał Dulko wrote:
>
> On 01/26/2016 10:23 AM, pn kk wrote:
>
> Hi,
>
> I use taskflow for job management and now trying to
> persist
> the state
> of flows/tasks in mysql to recover incase of
> process crashes.
>
> I could see the state and the task results stored
> in the
> database.
>
> Now I am looking for some way to store the input
> parameters
> of the tasks.
>
> Please share your inputs to achieve this.
>
> -Thanks
>
> I've played with that some time ago and if I recall
> correctly input
> parameters should be available in the flow's storage, which
> means these
> are also saved to the DB. Take a look on
> resume_workflows method
> on my
> old PoC [1] (hopefully TaskFlow haven't changed much
> since then).
>
> [1]
> https://review.openstack.org/#/c/152200/4/cinder/scheduler/manager.py
>
>
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