示例#1
0
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)
示例#2
0
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)
示例#3
0
文件: views.py 项目: cloudmesh/portal
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)
示例#4
0
文件: views.py 项目: cloudmesh/portal
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)
示例#5
0
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)
示例#6
0
文件: views.py 项目: cloudmesh/portal
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)
示例#7
0
文件: views.py 项目: cloudmesh/portal
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)
示例#8
0
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)
示例#9
0
    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 ""
示例#10
0
    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 ""
示例#11
0
    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
示例#12
0
    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 ""
示例#13
0
    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
示例#14
0
 def read_squeue():
     # read squeue from comet
     # TODO: check this function
     name = None
     provider = BatchProvider(name)
     return provider.read_squeue(format="json")