def METHOD_NAME(gcs_config_path, project_id, db_type):
    """
    Main function to execute the other function call
    """
    # Set the variable value
    config_source_bucket_name = gcs_config_path.split("//")[1].split("/")[0]
    config_source_prefix = gcs_config_path.split(config_source_bucket_name + "/")[1]
    # Read Config File values:
    gcs_client = storage.Client(project_id)
    config_string = readgcs_file(
        gcs_client, config_source_bucket_name, config_source_prefix
    )
    migration_config_dict = parse_json(config_string)
    # Read variable values define in config file
    gcs_source_path = migration_config_dict["gcs_source_path"]
    target_dataset = migration_config_dict["target_dataset"]
    object_name_config_file = migration_config_dict["object_name_mapping_path"]
    default_db = migration_config_dict["default_database"]
    # Derived variable required in the code:
    source_bucket_name = gcs_source_path.split("//")[1].split("/")[0]
    gcs_target_path = f"gs://{source_bucket_name}/{target_dataset}"
    target_bucket_name = gcs_target_path.split("//")[1].split("/")[0]
    log_table_id = f"{target_dataset}/batch_translation_report.csv"
    print(
        "-------------------- Running Migration workflow function --------------------\n"
    )
    # Call the migration workflow function
    create_migration_workflow(
        gcs_client,
        gcs_source_path,
        gcs_target_path,
        project_id,
        db_type,
        target_bucket_name,
        log_table_id,
        object_name_config_file,
        default_db,
    )