# Copyright 2019 Amazon.com, Inc. or its affiliates. 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. A copy of
# the License is located at
#
#     http://aws.amazon.com/apache2.0/
#
# or in the 'license' file accompanying this file. This file 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 sagemaker_algorithm_toolkit import channel_validation as cv
from sagemaker_xgboost_container.data_utils import (
    VALID_CONTENT_TYPES,
    VALID_PIPED_CONTENT_TYPES,
)


def initialize():
    train_channel = cv.Channel(name="train", required=True)
    for ct in VALID_CONTENT_TYPES:
        train_channel.add(ct, cv.Channel.FILE_MODE, cv.Channel.SHARDED)
        train_channel.add(ct, cv.Channel.FILE_MODE, cv.Channel.REPLICATED)

    for ct in VALID_PIPED_CONTENT_TYPES:
        train_channel.add(ct, cv.Channel.PIPE_MODE, cv.Channel.SHARDED)
        train_channel.add(ct, cv.Channel.PIPE_MODE, cv.Channel.REPLICATED)

    validation_channel = cv.Channel(name="validation", required=False)
    for ct in VALID_CONTENT_TYPES:
        validation_channel.add(ct, cv.Channel.FILE_MODE, cv.Channel.SHARDED)
        validation_channel.add(ct, cv.Channel.FILE_MODE, cv.Channel.REPLICATED)

    for ct in VALID_PIPED_CONTENT_TYPES:
        validation_channel.add(ct, cv.Channel.PIPE_MODE, cv.Channel.SHARDED)
        validation_channel.add(ct, cv.Channel.PIPE_MODE, cv.Channel.REPLICATED)

    # new for script mode/algorithm mode toggle
    code_channel = cv.Channel(name="code", required=False)
    code_channel.add("text/python", cv.Channel.FILE_MODE, cv.Channel.REPLICATED)

    data_channels = cv.Channels(train_channel, validation_channel, code_channel)
    data_channels.set_default_content_type("text/libsvm")

    return data_channels