# Copyright (c) 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.

DISPLAY_ID_COLUMN = "display_id"

BASE_CONT_COLUMNS = [
    "publish_time",
    "publish_time_promo",
    "timestamp",
    "document_id_promo_clicked_sum_ctr",
    "publisher_id_promo_clicked_sum_ctr",
    "source_id_promo_clicked_sum_ctr",
    "document_id_promo_count",
    "publish_time_days_since_published",
    "ad_id_clicked_sum_ctr",
    "advertiser_id_clicked_sum_ctr",
    "campaign_id_clicked_sum_ctr",
    "ad_id_count",
    "publish_time_promo_days_since_published",
]

SIM_COLUMNS = [
    "doc_event_doc_ad_sim_categories",
    "doc_event_doc_ad_sim_topics",
    "doc_event_doc_ad_sim_entities",
]

CONTINUOUS_COLUMNS = BASE_CONT_COLUMNS + SIM_COLUMNS + [DISPLAY_ID_COLUMN]

exclude_conts = ["publish_time", "publish_time_promo", "timestamp"]

NUMERIC_COLUMNS = [col for col in CONTINUOUS_COLUMNS if col not in exclude_conts]

CATEGORICAL_COLUMNS = [
    "ad_id",
    "document_id",
    "platform",
    "document_id_promo",
    "campaign_id",
    "advertiser_id",
    "source_id",
    "publisher_id",
    "source_id_promo",
    "publisher_id_promo",
]

CTR_INPUTS = [
    "ad_id",
    "source_id_promo",
    "document_id_promo",
    "publisher_id_promo",
    "advertiser_id",
    "campaign_id",
]

EXCLUDE_COLUMNS = [
    "publish_time",
    "publish_time_promo",
    "timestamp",
    "ad_id_clicked_sum",
    "source_id_promo_count",
    "source_id_promo_clicked_sum",
    "document_id_promo_clicked_sum",
    "publisher_id_promo_count",
    "publisher_id_promo_clicked_sum",
    "advertiser_id_count",
    "advertiser_id_clicked_sum",
    "campaign_id_count",
    "campaign_id_clicked_sum",
    "uuid",
    "day_event",
]

nvt_to_spark = {
    "ad_id": "ad_id",
    "clicked": "label",
    "display_id": "display_id",
    "document_id": "doc_event_id",
    "platform": "event_platform",
    "document_id_promo": "doc_id",
    "campaign_id": "campaign_id",
    "advertiser_id": "ad_advertiser",
    "source_id": "doc_event_source_id",
    "publisher_id": "doc_event_publisher_id",
    "source_id_promo": "doc_ad_source_id",
    "publisher_id_promo": "doc_ad_publisher_id",
    "geo_location": "event_geo_location",
    "geo_location_country": "event_country",
    "geo_location_state": "event_country_state",
    "document_id_promo_ctr": "pop_document_id",
    "publisher_id_promo_ctr": "pop_publisher_id",
    "source_id_promo_ctr": "pop_source_id",
    "document_id_promo_count": "doc_views_log_01scaled",
    "publish_time_days_since_published": "doc_event_days_since_published_log_01scaled",
    "ad_id_ctr": "pop_ad_id",
    "advertiser_id_ctr": "pop_advertiser_id",
    "campaign_id_ctr": "pop_campain_id",
    "ad_id_count": "ad_views_log_01scaled",
    "publish_time_promo_days_since_published": "doc_ad_days_since_published_log_01scaled",
    "document_id_document_id_promo_sim_categories": "doc_event_doc_ad_sim_categories",
    "document_id_document_id_promo_sim_topics": "doc_event_doc_ad_sim_topics",
    "document_id_document_id_promo_sim_entities": "doc_event_doc_ad_sim_entities",
}

spark_to_nvt = {item: key for key, item in nvt_to_spark.items()}


def transform_nvt_to_spark(column):
    return nvt_to_spark[column]


def transform_spark_to_nvt(column):
    return spark_to_nvt[column]