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Multi-process Gearman Task Server library

branch: master
README.rst

Gearman Task Server

gmtasks contains a simple multiprocessing server for Gearman workers, designed for ease of configuration and maximum availability. It includes a task wrapper class that traps any interrupts or exceptions that might be thrown by your task methods, and attempts to make sure that the affected job is re-inserted into the queue (which is not the default behavior if the worker script exits abnormally)

Please see the full documentation for more detailed information.

Sample usage

from multiprocessing   import freeze_support
from gmtasks.jsonclass import GearmanWorker
from gmtasks           import GearmanTaskServer, Task

# Jobs
def job1(worker, job):
    return job.data['string1']
def job2(worker, job):
    return job.data['string2']
def job3(worker, job):
    return job.data['string3']

# Main loop
if __name__ == '__main__':
    # Need this to run in Windows
    freeze_support()
    # Import all of the jobs we handle
    tasks = [
        Task('job1', job1),
        {'task': 'job2', 'callback': job2},
        ['job3', job3],
        ]
    # Initialize the server
    server = GearmanTaskServer(
        host_list      = ['localhost:4730'],
        tasks          = tasks,
        max_workers    = None, # Defaults to multiprocessing.cpu_count()
        id_prefix      = 'myworker.',
        worker_class   = GearmanWorker,
        use_sighandler = True, # SIGINT and SIGTERM send KeyboardInterrupt
        verbose        = True, # log.info() and log.error() messages
        )
    # Run the loop
    server.serve_forever()

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