workflows.append(("mutiple_transfer", tr_wf_examples.multiple_simple_example()))
workflows.append(("special_command_transfer", tr_wf_examples.special_command()))
workflows.append(("special_transfer", tr_wf_examples.special_transfer()))
workflows.append(("mutiple_crp", srp_wf_examples.multiple_simple_example()))
workflows.append(("special_command_crp", srp_wf_examples.special_command()))
ret_value = 0
for workflow_name, workflow in workflows:
print "--------------------------------------------------------------"
print workflow_name
file_path = os.path.join(directory, "json_" + workflow_name + ".wf")
Helper.serialize(file_path, workflow)
new_workflow = Helper.unserialize(file_path)
if not new_workflow.attributs_equal(workflow):
print "FAILED !!"
ret_value = 1
else:
print "OK"
try:
os.remove(file_path)
except IOError:
pass
if ret_value == 0:
print "\nAll test ran with success."
else:
logger.info("epd_to_deploy " + repr(options.epd_to_deploy))
logger.info("untar_directory " + repr(options.untar_directory))
sch = MPIScheduler(comm, interval=1, nb_attempt_per_job=options.nb_attempt_per_job)
config.disable_queue_limits()
workflow_engine = ConfiguredWorkflowEngine(database_server,
sch,
config)
if options.workflow_file and os.path.exists(options.workflow_file):
workflow_file = options.workflow_file
logger.info(" ")
logger.info("******* submission of worklfow **********")
logger.info("workflow file: " + repr(workflow_file))
workflow = Helper.unserialize(workflow_file)
workflow_engine.submit_workflow(workflow,
expiration_date=None,
name=None,
queue=None)
if options.wf_id_to_restart != None:
workflow_id = options.wf_id_to_restart
logger.info(" ")
logger.info("******* restart worklfow **********")
logger.info("workflow if: " + repr(workflow_id))
workflow_engine.stop_workflow(workflow_id)
workflow_engine.restart_workflow(workflow_id, queue=None)
while not workflow_engine.engine_loop.are_jobs_and_workflow_done():
time.sleep(2)
for slave in range(1, comm.size):
