That is excellent, Tony, thanks! I'll give that a go, look through the
code, and hopefully that takes care of the routing and task-creation
questions I had.

To be continued.


On 30 May 2014 14:23, Tony Barbieri <great...@gmail.com> wrote:

> I've used Celery pretty extensively at this point.  We use it primarily
> for running various tasks that users don't have permissions to run locally.
>  I basically wrapped it all up into a library that makes it super simple to
> add new methods with optional tasks associated with them that offers both a
> json-rpc interface running in a tornado server as well as direct celery
> access.
>
> I only mention it's difficult to reverse-engineer because there is a lot
> of indirection and dynamic inheritance going on in the internal code.
>  Celery also relies on a few different libraries that are written by the
> same developer so you have to follow the order of operations through quite
> a few places.  The code is actually really interesting but takes awhile to
> wrap your head around, and there is a lot of it.  However, the public
> facing API is quite nice and it's very well documented.  I've found it to
> be really nice to work with and it's also pretty robust at this point.
>  There have been quite a few years put into it with a ton of feedback and
> it seems to be pretty widely used.
>
>
>
> On Fri, May 30, 2014 at 9:14 AM, Marcus Ottosson <konstrukt...@gmail.com>
> wrote:
>
>> Both. Tasks are to be scheduled via a chat-like interface. Humans send
>> tasks via a terminal whereas workers build messages programmatically.
>>
>> For example, the command..
>>
>> $ order coffee latte --no-milk
>>
>> ..should send a task to the swarm who will in turn delegate the task to
>> workers capable of executing it.
>>
>> On the other hand, tasks can be delegated to a group of workers:
>>
>> $ peer barista order coffee latte --no-milk
>>
>> In which case the swarm will still distribute the task, but in this case
>> to a pre-determined group of workers. Who also provide an interface to
>> available services:
>>
>> $ peer barista --list-services
>>
>> Barista services:
>>    Take order (order)
>>
>> I’ve had a brief look at Celery, do you have any experience with it? How
>> come it’d be difficult to reverse-engineer? Poor docs? Complicated
>> behaviour?
>>
>> Thanks
>> ​
>>
>>
>> On 30 May 2014 13:57, Tony Barbieri <great...@gmail.com> wrote:
>>
>>> Are you looking to write a chat like program or are you interested in
>>> having tasks executed by workers on the other side of the "swarm"?  Have
>>> you looked at celery <http://www.celeryproject.org/>?  It deals with
>>> sending tasks to a broker, routing them using exchanges + queues and having
>>> the tasks executed by workers and returning results through a promise.
>>>  It's very neat, but good luck trying to reverse engineer what's going on
>>> in the code :).
>>>
>>>
>>>
>>>
>>> On Fri, May 30, 2014 at 8:12 AM, Marcus Ottosson <konstrukt...@gmail.com
>>> > wrote:
>>>
>>>> Something like this?
>>>>
>>>>
>>>> https://github.com/abstractfactory/labs/blob/master/python/messaging/chat/swarm.py#L57
>>>>
>>>>
>>>> On 30 May 2014 13:04, Justin Israel <justinisr...@gmail.com> wrote:
>>>>
>>>>> You could just register all your different endpoints or types in a
>>>>> dict where the key is the type and the value is the handler function. And
>>>>> each handler function could do the custom logic that transforms the 
>>>>> message
>>>>> into a conformned message for the output.
>>>>>  On May 30, 2014 11:57 PM, "Marcus Ottosson" <konstrukt...@gmail.com>
>>>>> wrote:
>>>>>
>>>>>> Hi all,
>>>>>>
>>>>>> I’m developing an example program to illustrate the benefits and
>>>>>> disadvantages of a service-oriented approach to task-distribution;
>>>>>> mimicking the instant message-approach to routing messages from 
>>>>>> one-to-many
>>>>>> via a central broker, it’s not quite at the point where pros and cons 
>>>>>> start
>>>>>> showing their true colors, but getting there.
>>>>>>
>>>>>>
>>>>>> ​
>>>>>> First question - Routing multiple inputs to a single output
>>>>>>
>>>>>> peer.py represents a running client capable of making requests to
>>>>>> the server, or swarm.py. Both peer.py and swarm.py handles incoming
>>>>>> requests/replies via rather long-winded if/else methods:
>>>>>>
>>>>>> # Incoming messagesif type == 'letter':
>>>>>>         # do stuff
>>>>>> elif type == 'service':
>>>>>>         # do stuff
>>>>>> elif type == 'receipt':
>>>>>>
>>>>>>             ...
>>>>>>
>>>>>> What would be a better/neater approach to routing multiple inputs to
>>>>>> a single output, in cases where there’d be a large number (50+) of 
>>>>>> branches
>>>>>> in logic?
>>>>>> Go to method
>>>>>> <https://github.com/abstractfactory/labs/tree/master/python/messaging/chat>
>>>>>>
>>>>>> Best,
>>>>>> Marcus
>>>>>> ​
>>>>>> --
>>>>>> *Marcus Ottosson*
>>>>>> konstrukt...@gmail.com
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>>>
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>>>
>>> --
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>>
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>> konstrukt...@gmail.com
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>
>
> --
> -tony
>
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-- 
*Marcus Ottosson*
konstrukt...@gmail.com

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