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/*
 * Copyright 2017-2022 John Snow Labs
 *
 * 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.
 */

package com.johnsnowlabs.nlp.annotators.common

import com.johnsnowlabs.nlp.{Annotation, AnnotatorType}

import scala.collection.Map

object WordpieceTokenized extends Annotated[WordpieceTokenizedSentence] {

  override def annotatorType: String = AnnotatorType.WORDPIECE

  override def unpack(annotations: Seq[Annotation]): Seq[WordpieceTokenizedSentence] = {
    val tokens = annotations
      .filter(_.annotatorType == annotatorType)
      .toArray

    SentenceSplit
      .unpack(annotations)
      .map(sentence => {
        tokens
          .filter(token => token.begin >= sentence.start & token.end <= sentence.end)
          .map(token =>
            TokenPiece(
              wordpiece = token.result,
              token = token.metadata("token"),
              pieceId = token.metadata("pieceId").toInt,
              isWordStart = token.metadata("isWordStart").toBoolean,
              begin = token.begin,
              end = token.end))
      })
      .filter(_.nonEmpty)
      .map(tokens => WordpieceTokenizedSentence(tokens))

  }

  override def pack(sentences: Seq[WordpieceTokenizedSentence]): Seq[Annotation] = {
    var sentenceIndex = 0

    sentences.flatMap { sentence =>
      sentenceIndex += 1
      sentence.tokens.map { token =>
        Annotation(
          annotatorType,
          token.begin,
          token.end,
          token.wordpiece,
          Map(
            "sentence" -> sentenceIndex.toString,
            "isWordStart" -> token.isWordStart.toString,
            "pieceId" -> token.pieceId.toString,
            "token" -> token.token))
      }
    }
  }
}

case class WordpieceTokenizedSentence(tokens: Array[TokenPiece])
case class TokenPiece(
    wordpiece: String,
    token: String,
    pieceId: Int,
    isWordStart: Boolean,
    begin: Int,
    end: Int)




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