How to use the resilient.get_client function in resilient

def main():
    """
    program main
    """

    config_file = resilient.get_config_file()
    parser = ExampleArgumentParser(config_file)
    opts = parser.parse_args()

    inc_types = opts["itype"]
    inc_limit = opts["limit"]

    # Create SimpleClient for a REST connection to the Resilient services
    client = resilient.get_client(opts)

    # Discovered Date will be set to the current time
    time_now = int(time.time() * 1000)

    try:
        uri = '/incidents'

        rf_config = configparser.ConfigParser()
        rf_config.read(config_file)
        rf_opts = dict(rf_config.items('fn_risk_fabric'))
        params = {
            'Limit': inc_limit
        }
        result = get_risk_model_instances(rf_opts, params)

        for ap in result['Records']:

def main():
    """
    program main
    """

    config_file = resilient.get_config_file()
    parser = ExampleArgumentParser(config_file)
    opts = parser.parse_args()

    inc_types = opts["itype"]
    inc_queue = opts["queue"]

    # Create SimpleClient for a REST connection to the Resilient services
    client = resilient.get_client(opts)

    # Discovered Date will be set to the current time
    time_now = int(time.time() * 1000)

    try:
        uri = '/incidents'

        rf_config = configparser.ConfigParser()
        rf_config.read(config_file)
        rf_opts = dict(rf_config.items('fn_risk_fabric'))
        result = get_action_plans(rf_opts)

        for ap in result:

            if 'AssignToQueueName' in ap and ap['AssignToQueueName'] == inc_queue: