#
# Copyright (c) 2019-2021, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from .etl import etl, extract_paths
from com.nvidia.spark.examples.utility.utils import *
from pyspark.sql import SparkSession


def main(args, xgboost_args):
    spark = (SparkSession
             .builder
             .appName(args.mainClass)
             .getOrCreate())
    etled_df = etl(spark, args)
    # outPath should has only one input
    outPath = extract_paths(args.dataPaths, 'out::')[0]
    etled_df.write.mode("overwrite").parquet(outPath)
