Example #1
0
def handler(event, context):
    """
    Run on AWS Lambda.
    """

    config_file = "config.dev.json"
    if context.function_name == "autotune-prod-mentalmodels":
        config_file = "config.prod.json"

    autotune = Autotune(config_file, event['ID'])

    memory = Memory(autotune)
    networking = Networking(autotune)

    ai_features = dict(memory.ai_features().items() + networking.ai_features().items())
    procfs_features = dict(memory.procfs_features().items() + networking.procfs_features().items())
    sysfs_features = dict(memory.sysfs_features().items() + networking.sysfs_features().items())

    autotune.write_ai_features(ai_features)
    autotune.write_procfs_features(procfs_features)
    autotune.write_sysfs_features(sysfs_features)

    autotune.close()

    return {
        'Message': "OK"
    }
Example #2
0
def run_model(config_file, event_id):
    print "Running {}".format(event_id)

    autotune = Autotune(config_file)
    autotune.get_id(event_id)

    memory = Memory(autotune)
    networking = Networking(autotune)

    ai_features = dict(memory.ai_features().items() + networking.ai_features().items())
    procfs_features = dict(memory.procfs_features().items() + networking.procfs_features().items())
    sysfs_features = dict(memory.sysfs_features().items() + networking.sysfs_features().items())

    autotune.write_ai_features(ai_features)
    autotune.write_procfs_features(procfs_features)
    autotune.write_sysfs_features(sysfs_features)

    autotune.close()
Example #3
0
def run_model(config_file, machine_id):
    print "Running {}".format(machine_id)

    machine = Machine(config_file)
    machine.get_id(machine_id)

    memory = Memory(machine)
    networking = Networking(machine)

    ai_features = dict(memory.ai_features().items() + networking.ai_features().items())
    procfs_features = dict(memory.procfs_features().items() + networking.procfs_features().items())
    sysfs_features = dict(memory.sysfs_features().items() + networking.sysfs_features().items())

    machine.write_features('ai_features', ai_features)
    machine.write_features('procfs', procfs_features)
    machine.write_features('sysfs', sysfs_features)

    machine.write_features('quick', {
        'Security': 0,
        'Stats': len(procfs_features) + len(sysfs_features),
    })
Example #4
0
def run_model(config_file, machine_id):
    print "Running {}".format(machine_id)

    machine = Machine(config_file)
    machine.get_id(machine_id)

    memory = Memory(machine)
    networking = Networking(machine)

    ai_features = dict(memory.ai_features().items() +
                       networking.ai_features().items())
    procfs_features = dict(memory.procfs_features().items() +
                           networking.procfs_features().items())
    sysfs_features = dict(memory.sysfs_features().items() +
                          networking.sysfs_features().items())

    machine.write_features('ai_features', ai_features)
    machine.write_features('procfs', procfs_features)
    machine.write_features('sysfs', sysfs_features)

    machine.write_features('quick', {
        'Security': 0,
        'Stats': len(procfs_features) + len(sysfs_features),
    })