class TaskflowDistributedTaskServices(base.DistributedTaskServices):
def __init__(self):
super(TaskflowDistributedTaskServices, self).__init__()
self.driver = TaskFlowDistributedTaskDriver(conf)
self.jobboard_backend_conf_worker = \
self.driver.jobboard_backend_conf_worker
@property
def persistence(self):
return self.driver.persistence()
def submit_task(self, flow_factory, **kwargs):
"""submit a task.
"""
with self.persistence as persistence:
with self.driver.job_board(
self.jobboard_backend_conf_worker.copy(),
persistence=persistence) as board:
job_id = uuidutils.generate_uuid()
job_name = '-'.join([flow_factory.__name__, job_id])
job_logbook = logbook.LogBook(job_name)
flow_detail = logbook.FlowDetail(job_name,
uuidutils.generate_uuid())
factory_args = ()
factory_kwargs = {}
engines.save_factory_details(flow_detail, flow_factory,
factory_args, factory_kwargs)
job_logbook.add(flow_detail)
persistence.get_connection().save_logbook(job_logbook)
job_details = {
'store': kwargs
}
job = board.post(job_name,
book=job_logbook,
details=job_details)
LOG.info("Posted: {0}".format(job))
def run_task_worker(self):
"""Run a task flow worker (conductor).
"""
with self.persistence as persistence:
with self.driver.job_board(
self.jobboard_backend_conf_worker.copy(),
persistence=persistence) as board:
conductor = single_threaded.SingleThreadedConductor(
"Canary worker conductor", board, persistence,
engine='serial')
conductor.run()
def __init__(self):
super(TaskflowDistributedTaskServices, self).__init__()
self.driver = TaskFlowDistributedTaskDriver(conf)
self.jobboard_backend_conf_worker = \
self.driver.jobboard_backend_conf_worker
