def METHOD_NAME(args):
    # initialise the RulesSpec parser
    rule_spec_parser = RulesSpec(args.rules_spec)
    # initialise the benchmark runner
    bench_runner_module = __import__(
        args.benchrunner_module, fromlist=[args.benchrunner_class]
    )
    bench_runner_class = getattr(bench_runner_module, args.benchrunner_class)
    ods_args = {}
    if args.ods_client and args.ods_entity:
        ods_args["client_script"] = args.ods_client
        ods_args["entity"] = args.ods_entity
        if args.ods_key_prefix:
            ods_args["key_prefix"] = args.ods_key_prefix
    db_bench_runner = bench_runner_class(args.benchrunner_pos_args, ods_args)
    # initialise the database configuration
    db_options = DatabaseOptions(args.rocksdb_options, args.misc_options)
    # set the frequency at which stats are dumped in the LOG file and the
    # location of the LOG file.
    db_log_dump_settings = {
        "DBOptions.stats_dump_period_sec": {NO_COL_FAMILY: args.stats_dump_period_sec}
    }
    db_options.update_options(db_log_dump_settings)
    # initialise the configuration optimizer
    config_optimizer = ConfigOptimizer(
        db_bench_runner, db_options, rule_spec_parser, args.base_db_path
    )
    # run the optimiser to improve the database configuration for given
    # benchmarks, with the help of expert-specified rules
    final_db_options = config_optimizer.run()
    # generate the final rocksdb options file
    print(
        "Final configuration in: " + final_db_options.generate_options_config("final")
    )
    print("Final miscellaneous options: " + repr(final_db_options.get_misc_options()))