def do_hpc(self, args, arguments):
# noinspection PyPep8
"""
::
Usage:
hpc queue [--job=NAME][--cluster=CLUSTER][--format=FORMAT]
hpc info [--cluster=CLUSTER][--format=FORMAT]
hpc run list [ID] [--cluster=CLUSTER]
hpc run output [ID] [--cluster=CLUSTER]
hpc run rm [ID] [--cluster=CLUSTER]
hpc run SCRIPT [--queue=QUEUE] [--t=TIME] [--N=nodes] [--name=NAME] [--cluster=CLUSTER][--dir=DIR][--group=GROUP][--format=FORMAT]
hpc delete --job=NAME [--cluster=CLUSTER][--group=GROUP]
hpc delete all [--cluster=CLUSTER][--group=GROUP][--format=FORMAT]
hpc status [--job=name] [--cluster=CLUSTER] [--group=GROUP]
hpc test --cluster=CLUSTER [--time=SECONDS]
Options:
--format=FORMAT the output format [default: table]
Examples:
Special notes
if the group is specified only jobs from that group are
considered. Otherwise the default group is used. If the
group is set to None, all groups are used.
cm hpc queue
lists the details of the queues of the hpc cluster
cm hpc queue --job=NAME
lists the details of the job in the queue of the hpc cluster
cm hpc info
lists the details of the hpc cluster
cm hpc run SCRIPT
submits the script to the cluster. The script will be
copied prior to execution into the home directory on the
remote machine. If a DIR is specified it will be copied
into that dir.
The name of the script is either specified in the script
itself, or if not the default naming scheme of
cloudmesh is used using the same index incremented name
as in vms fro clouds: cloudmes husername-index
cm hpc delete all
kills all jobs on the default hpc group
cm hpc delete --job=NAME
kills a job with a given name or job id
cm default cluster=NAME
sets the default hpc cluster
cm hpc status
returns the status of all jobs
cm hpc status job=ID
returns the status of the named job
cm hpc test --cluster=CLUSTER --time=SECONDS
submits a simple test job to the named cluster and returns
if the job could be successfully executed. This is a
blocking call and may take a long time to complete
dependent on if the queuing system of that cluster is
busy. It will only use one node/core and print the message
#CLOUDMESH: Test ok
in that is being looked for to identify if the test is
successful. If time is used, the job is terminated
after the time is elapsed.
Examples:
cm hpc queue
cm hpc queue --job=xxx
cm hpc info
cm hpc delete --job=6
cm hpc delete all
cm hpc status
cm hpc status --job=6
cm hpc run uname
cm hpc run ~/test.sh --cluster=india
"""
format = arguments['--format']
cluster = arguments['--cluster'] or Default.get_cluster()
arguments["CLUSTER"] = cluster
if cluster is None:
Console.error("Default cluster doesn't exist")
return
batch = BatchProvider(cluster)
if arguments["queue"]:
name = arguments['--job']
result = batch.queue(cluster, format=format, job=name)
Console.msg(result)
elif arguments["info"]:
Console.msg(batch.info(cluster, format))
elif arguments['delete'] and arguments['all']:
group = arguments['--group'] or Default.get('group')
if group is None:
Console.error('set default group using: default group=<value> --cloud=general')
return
Console.ok(batch.delete(cluster,None,group))
elif arguments["delete"]:
job = arguments['--job']
Console.ok(batch.delete(cluster, job))
elif arguments["status"]:
name = arguments['--job']
result = batch.queue(cluster, format=format, job=name)
Console.msg(result)
elif arguments["test"]:
time_secs = arguments['--time']
if time_secs:
time = '00:00:' + time_secs
else:
time = '00:00:10' # give a default time of 10 secs
print(batch.test(cluster, time))
elif arguments["run"] and arguments["list"]:
# hpc experiment list [--cluster=CLUSTER]
if arguments["ID"]:
print ("# List of experiment {ID} on Cluster {CLUSTER}".format(**arguments))
result = Experiment.list(cluster, id=arguments["ID"], format="list")
if result is not None:
print ("\n".join(result))
else:
Console.error("Could not find experiment {ID} on {CLUSTER}".format(**arguments))
else:
print ("# List of experiments on Cluster {CLUSTER}".format(**arguments))
ids = Experiment.list(cluster, id=None, format="list")
if ids is not None:
print (", ".join([str(i) for i in ids]))
else:
Console.error("Could not find experiment {ID} on {CLUSTER}".format(**arguments))
elif arguments["run"] and arguments["rm"]:
# hpc experiment list [--cluster=CLUSTER]
if arguments["ID"]:
force = yn_choice("Would you like to delete experiment {ID} on Cluster {CLUSTER}".format(**arguments))
if force:
try:
result = Experiment.rm(cluster, id=arguments["ID"])
Console.ok("Experiment {ID} on Cluster {CLUSTER} deleted".format(**arguments))
except:
Console.error("Could not delete experiment {ID} on {CLUSTER}".format(**arguments))
else:
result = Experiment.list(cluster, id=None, format="list")
if result is not None:
arguments['experiments'] = ", ".join([str(i) for i in result])
else:
Console.error("Could not find experiment {ID} on {CLUSTER}".format(**arguments))
return ""
force = yn_choice("Would you like to delete the experiments {experiments} on Cluster {CLUSTER}".format(
**arguments))
if force:
try:
result = Experiment.rm(cluster, id=None)
Console.ok("Experiments {experiments} on Cluster {CLUSTER} deleted".format(**arguments))
except:
Console.error("Could delete the experiments on {CLUSTER}".format(**arguments))
return ""
elif arguments["run"] and arguments["output"]:
# hpc experiment list [--cluster=CLUSTER]
if arguments["ID"]:
print ("# List of experiment {ID} on Cluster {CLUSTER}".format(**arguments))
result = Experiment.output(cluster, id=arguments["ID"], format="list")
if result is not None:
print ("\n".join(result))
else:
Console.error("Could not find experiment {ID} on {CLUSTER}".format(**arguments))
else:
print ("# List of experiments on Cluster {CLUSTER}".format(**arguments))
ids = Experiment.output(cluster, id=None, format="list")
if ids is not None:
print (", ".join([str(i) for i in ids]))
else:
Console.error("Could not find experiment {ID} on {CLUSTER}".format(**arguments))
elif arguments["run"]:
queue = arguments['--queue'] or Default.get('queue')
# if not queue:
# Console.error('set default queue using: default queue=<value>')
# return
group = arguments['--group'] or Default.get('group')
if group is None:
Console.error('set default group using: default group=<value> --cloud=general')
return
script = arguments['SCRIPT']
arg_dict = {
'-name': arguments['--name'],
'-p': queue,
'-t': arguments['--t'],
'-N': arguments['--N']
}
result = batch.run(cluster, group, script, **arg_dict)
if isinstance(result, dict):
print (attribute_printer(result))
Console.ok("Experiment {count}: Started batch job {job_id} on {cluster}".format(**result))
else:
Console.error(result)
return ""
def do_hpc(self, args, arguments):
# noinspection PyPep8
"""
::
Usage:
hpc queue [--job=NAME][--cluster=CLUSTER][--format=FORMAT]
hpc info [--cluster=CLUSTER][--format=FORMAT]
hpc run SCRIPT [--queue=QUEUE] [--t=TIME] [--N=nodes] [--name=NAME] [--cluster=CLUSTER][--dir=DIR][--group=GROUP][--format=FORMAT]
hpc delete --job=NAME [--cluster=CLUSTER][--group=GROUP]
hpc delete all [--cluster=CLUSTER][--group=GROUP][--format=FORMAT]
hpc status [--job=name] [--cluster=CLUSTER] [--group=GROUP]
hpc test --cluster=CLUSTER [--time=SECONDS]
Options:
--format=FORMAT the output format [default: table]
Examples:
Special notes
if the group is specified only jobs from that group are
considered. Otherwise the default group is used. If the
group is set to None, all groups are used.
cm hpc queue
lists the details of the queues of the hpc cluster
cm hpc queue --name=NAME
lists the details of the job in the queue of the hpc cluster
cm hpc info
lists the details of the hpc cluster
cm hpc run SCRIPT
submits the script to the cluster. The script will be
copied prior to execution into the home directory on the
remote machine. If a DIR is specified it will be copied
into that dir.
The name of the script is either specified in the script
itself, or if not the default nameing scheme of
cloudmesh is used using the same index incremented name
as in vms fro clouds: cloudmeshusername-index
cm hpc delete all
kills all jobs on the default hpc cluster
cm hpc delete all -cluster=all
kills all jobs on all clusters
cm hpc delete --job=NAME
kills a job with a given name or job id
cm hpc default cluster=NAME
sets the default hpc cluster
cm hpc status
returns the status of all jobs
cm hpc status job=ID
returns the status of the named job
cm hpc test --cluster=CLUSTER --time=SECONDS
submits a simple test job to the named cluster and returns
if the job could be successfully executed. This is a
blocking call and may take a long time to complete
dependent on if the queuing system of that cluster is
busy. It will only use one node/core and print the message
#CLOUDMESH: Test ok
in that is being looked for to identify if the test is
successful. If time is used, the job is terminated
after the time is elapsed.
Examples:
cm hpc queue
cm hpc queue --job=xxx
cm hpc info
cm hpc delete --job=6
cm hpc run uname
"""
format = arguments['--format']
cluster = arguments['--cluster'] or Default.get_cluster()
print ("CCC", cluster)
if cluster is None:
Console.error("Default cluster doesn't exist")
return
batch = BatchProvider(cluster)
if arguments["queue"]:
name = arguments['--job']
result = batch.queue(cluster, format=format, job=name)
Console.msg(result)
elif arguments["info"]:
Console.msg(batch.info(cluster, format))
elif arguments["delete"]:
job = arguments['--job']
Console.ok(batch.kill(cluster, job))
elif arguments["status"]:
name = arguments['--job']
result = batch.queue(cluster, format=format, job=name)
Console.msg(result)
elif arguments["run"]:
queue = arguments['--queue'] or Default.get('queue')
# if not queue:
# Console.error('set default queue using: default queue=<value>')
# return
script = arguments['SCRIPT']
arg_dict = {
'-name': arguments['--name'],
'-p': queue,
'-t': arguments['--t'],
'-N': arguments['--N']
}
result = batch.run(cluster, script, **arg_dict)
Console.ok("Started batch job {id} on {cluster}".format(**result))
elif arguments["test"]:
time_secs = arguments['--time']
if time_secs:
time = '00:00:' + time_secs
else:
time = '00:00:10' # give a default time of 10 secs
print(batch.test(cluster, time))
return ""