Which API is the nicest for the new RQ with concurrency?

worker_poll.py

# Alt 1: very explicit, but requires knowledge on what type of workers exist
from rq.workers.gevent import GeventWorker
w = GeventWorker(4)

# Alt 2: A bit like an "Abstract Factory", no need for knowing the implementing
# class names, backward compatible, and kind='forking' by default
from rq import Worker
w = Worker(4, kind='gevent')

# Alt 3: I don't think (2) works without really nasty tricks. This one is as
# simple as (2), but uses a convenient class method, so we can return an instance
# of the implementing subclass instead. Switching worker impls is as easy as
# changing a single string.
from rq import Worker
w = Worker.create('gevent', 4)

# Alt 4: A helper function that wraps (1)
from rq import make_worker
w = make_worker('gevent', 4)  # will return a rq.workers.gevent.GeventWorker
                              # with max 4 processes

I've added another alternative. What about (4)?

@nvie I knew that 4 is the number of concurrent processes, but if I just look at the code it's not really clear.
Maybe you could force passing a keyword argument for num_processes to make it always readable.

Otherwise I would keep separate the standard Worker from something like ConcurrentWorker (which then might default to num_processes=2 for example), unless it really make sense that the default implementation should be concurrent.

Otherwise I would vote for option #2..
And anyway it's probably better if you leave the old alternatives instead of replacing them or old answers will not make much sense..

1 is the most explicit. You call a factory on a class and it returns an instance of that class. Whats the use case for needing to be able to type of worker on the fly, instead of importing?

@saulshanabrook: The main use case is that implementing custom worker scripts would be easier. The default rqworker script would look something like this:

import sys
from rq import make_worker

...

if __name__ == '__main__':
    args = parse_args()
    worker = make_worker(args.concurrency_backend, args.num_processes)
    worker.work()

Where the concurrency_backend and num_processes arguments could be command line flags, like for example:

$ rqworker -c gevent -n 4

Implementing custom worker scripts would be just as easy and can use the default rqworker script as a reference implementation.

I'm really interested in concurrency. Did any of this get implemented?

I'm all curious what the final decision was on this one.