def comet_list_queue(request):
cluster = "comet"
output_format = "json"
order = [
"jobid",
"user",
"partition",
"nodes",
"st",
"name",
"nodelist",
"time",
]
provider = BatchProvider(cluster)
data = json.loads(provider.queue(cluster, format=output_format))
print(data)
return dict_table(request, title="Comet Queue", data=data, order=order)
def comet_info(request):
cluster = "comet"
output_format = "json"
order = [
'partition',
'nodes',
'state',
'avail',
'timelimit',
'cluster',
'nodelist',
# 'updated',
]
provider = BatchProvider(cluster)
data = json.loads(provider.info(cluster, format=output_format))
print(data)
return dict_table(request, title="Comet Queue", data=data, order=order)
def comet_info(request):
cluster = "comet"
output_format = "json"
order = [
'partition',
'nodes',
'state',
'avail',
'timelimit',
'cluster',
'nodelist',
# 'updated',
]
provider = BatchProvider(cluster)
data = json.loads(provider.info(cluster, format=output_format))
print (data)
return dict_table(request, title="Comet Queue", data=data, order=order)
def comet_list_queue(request):
cluster = "comet"
output_format = "json"
order = [
"jobid",
"user",
"partition",
"nodes",
"st",
"name",
"nodelist",
"time",
]
provider = BatchProvider(cluster)
data = json.loads(provider.queue(cluster, format=output_format))
print (data)
return dict_table(request, title="Comet Queue", data=data, order=order)
def hpc_queue(request, cluster=None):
output_format = "json"
order = [
"jobid",
"user",
"partition",
"nodes",
"st",
"name",
"nodelist",
"time",
]
provider = BatchProvider(cluster)
data = json.loads(provider.queue(cluster, format=output_format))
print(data)
return dict_table(request,
title="Queues for {}".format(cluster),
data=data,
order=order)
def hpc_queue(request, cluster=None):
output_format = "json"
order = [
"jobid",
"user",
"partition",
"nodes",
"st",
"name",
"nodelist",
"time",
]
provider = BatchProvider(cluster)
data = json.loads(provider.queue(cluster, format=output_format))
print (data)
return dict_table(request,
title="Queues for {}".format(cluster),
data=data,
order=order)
def hpc_info(request, cluster=None):
output_format = "json"
order = [
'partition',
'nodes',
'state',
'avail',
'timelimit',
'cluster',
'nodelist',
# 'updated',
]
provider = BatchProvider(cluster)
data = json.loads(provider.info(cluster, format=output_format))
print (data)
return dict_table(request,
title="Info for {}".format(cluster),
data=data, order=order)
def hpc_info(request, cluster=None):
output_format = "json"
order = [
'partition',
'nodes',
'state',
'avail',
'timelimit',
'cluster',
'nodelist',
# 'updated',
]
provider = BatchProvider(cluster)
data = json.loads(provider.info(cluster, format=output_format))
print(data)
return dict_table(request,
title="Info for {}".format(cluster),
data=data,
order=order)
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 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.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(name='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(name='queue')
# if not queue:
# Console.error('set default queue using: default queue=<value>')
# return
group = arguments['--group'] or Default.get(name='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(Printer.attribute(result))
Console.ok("Experiment {count}: Started batch job {job_id} on {cluster}".format(**result))
else:
Console.error(result)
return ""
def refresh(self, kind, name, **kwargs):
"""
This method refreshes the local database
with the live cloud details
:param kind:
:param name:
:param kwargs:
:return:
"""
try:
# print(cloudname)
# get the user
# TODO: Confirm user
user = self.user
if kind in ["flavor", "image", "vm", "secgroup"]:
# get provider for specific cloud
provider = CloudProvider(name).provider
# clear local db records for kind
self.clear(kind, name)
# for secgroup, clear rules as well
if kind == "secgroup":
self.clear("secgrouprule", name)
if kind == "flavor":
flavors = provider.list_flavor(name)
for flavor in list(flavors.values()):
flavor["uuid"] = flavor['id']
flavor['type'] = 'string'
flavor["category"] = name
flavor["user"] = user
db_obj = {0: {kind: flavor}}
self.add_obj(db_obj)
self.save()
return True
elif kind == "image":
images = provider.list_image(name)
for image in list(images.values()):
image['uuid'] = image['id']
image['type'] = 'string'
image['category'] = name
image['user'] = user
db_obj = {0: {kind: image}}
self.add_obj(db_obj)
self.save()
return True
elif kind == "vm":
vms = provider.list_vm(name)
for vm in list(vms.values()):
vm['uuid'] = vm['id']
vm['type'] = 'string'
vm['category'] = name
vm['user'] = user
db_obj = {0: {kind: vm}}
self.add_obj(db_obj)
self.save()
return True
elif kind == "secgroup":
secgroups = provider.list_secgroup(name)
# pprint(secgroups)
for secgroup in list(secgroups.values()):
secgroup_db_obj = self.db_obj_dict(
"secgroup",
name=secgroup['name'],
uuid=secgroup['id'],
category=name,
project=secgroup['tenant_id'],
user=user)
for rule in secgroup['rules']:
rule_db_obj = self.db_obj_dict(
"secgrouprule",
uuid=rule['id'],
name=secgroup['name'],
groupid=rule['parent_group_id'],
category=name,
user=user,
project=secgroup['tenant_id'],
fromPort=rule['from_port'],
toPort=rule['to_port'],
protocol=rule['ip_protocol'])
if bool(rule['ip_range']) is not False:
rule_db_obj[0]['secgrouprule']['cidr'] = rule[
'ip_range']['cidr']
self.add_obj(rule_db_obj)
self.save()
# rule-for-loop ends
self.add_obj(secgroup_db_obj)
self.save()
return True
elif kind in ["batchjob"]:
# provider = BatchProvider(name).provider
# provider = BatchProvider(name)
from cloudmesh_client.cloud.hpc.BatchProvider import BatchProvider
provider = BatchProvider(name)
vms = provider.list_job(name)
for vm in list(vms.values()):
vm['uuid'] = vm['id']
vm['type'] = 'string'
vm['category'] = name
vm['user'] = user
db_obj = {0: {kind: vm}}
self.add_obj(db_obj)
self.save()
return True
else:
Console.error(
"refresh not supported for this kind: {}".format(kind))
except Exception as ex:
Console.error(ex.message)
return False
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 ""
def refresh_new(cls, kind, name, **kwargs):
"""
This method refreshes the local database
with the live cloud details
:param kind:
:param name:
:param kwargs:
:return:
"""
try:
# print(cloudname)
# get the user
# TODO: Confirm user
# user = cls.user
purge = kwargs.get("purge", True)
if kind in ["flavor", "image", "vm"]:
# get provider for specific cloud
provider = CloudProvider(name).provider
current_elements = cls.find_new(category=name,
kind=kind,
output='dict',
key='name')
#returns the following:
#current_elements = {}
#for element in elements:
# current_elements[element["name"]] = element
# pprint(current_elements)
if purge:
cls.clear(kind=kind, category=name)
elements = provider.list(kind, name)
#
# image, flavor, username, group, ...
#
for element in list(elements.values()):
element["uuid"] = element['id']
element['type'] = 'string'
element["category"] = name
# element["user"] = user
element["kind"] = kind
element["provider"] = provider.cloud_type
if current_elements is not None:
for index in current_elements:
current = current_elements[index]
for attribute in [
"username", "image", "flavor", "group"
]:
if attribute in current and current[
attribute] is not None:
element[attribute] = current[attribute]
print("CCC", index, element["name"], element["flavor"])
cls.add(element)
return True
elif kind in ["batchjob"]:
# provider = BatchProvider(name).provider
# provider = BatchProvider(name)
from cloudmesh_client.cloud.hpc.BatchProvider import BatchProvider
provider = BatchProvider(name)
vms = provider.list_job(name)
for job in list(vms.values()):
job[u'uuid'] = job['id']
job[u'type'] = 'string'
job[u'category'] = name
# job[u'user'] = user
cls.add(job)
cls.save()
return True
elif kind not in ["secgroup"]:
Console.error(
"refresh not supported for this kind: {}".format(kind))
except Exception as ex:
Console.error("Problem with secgroup")
return False
def read_squeue():
# read squeue from comet
# TODO: check this function
name = None
provider = BatchProvider(name)
return provider.read_squeue(format="json")
