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// Copyright 2018-2020 The HuggingFace Inc. team.
// Copyright 2020 Marian Team Authors
// Copyright 2019 Google LLC. All Rights Reserved.
// Copyright 2019-2020 Guillaume Becquin
// 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.

use crate::error::TokenizerError;
use crate::vocab::base_vocab::swap_key_values;
use crate::vocab::sentencepiece_proto::sentencepiece_model::ModelProto;
use crate::vocab::Vocab;
use protobuf::Message;
use std::collections::HashMap;
use std::fs::File;
use std::io::Read;

/// # FNetVocab
/// Vocabulary for FNet tokenizer. Contains the following special values:
/// - CLS token
/// - SEP token
/// - PAD token
/// - MASK token
///
/// Expects a SentencePiece BPE protobuf file when created from file.
#[derive(Debug, Clone)]
pub struct FNetVocab {
    /// A mapping of tokens as string to indices (i.e. the encoder base)
    pub values: HashMap<String, i64>,

    /// A mapping of token ids to strings (i.e. the decoder base)
    pub indices: HashMap<i64, String>,

    /// The string to use for unknown (out of vocabulary) tokens
    pub unknown_value: &'static str,

    /// A mapping of special value tokens as strings to IDs (i.e. the encoder base for special
    /// values), special values typically include things like BOS/EOS markers, class markers, mask
    /// markers and padding markers
    pub special_values: HashMap<String, i64>,

    /// A mapping of special value tokens as IDs to strings (i.e. the decoder base for special values)
    pub special_indices: HashMap<i64, String>,
}

impl FNetVocab {
    /// Returns the SEP token for FNet (`[SEP]`)
    pub fn sep_value() -> &'static str {
        "[SEP]"
    }

    /// Returns the CLS token for FNet (`[CLS]`)
    pub fn cls_value() -> &'static str {
        "[CLS]"
    }

    /// Returns the MASK token for FNet (`[MASK]`)
    pub fn mask_value() -> &'static str {
        "[MASK]"
    }

    /// Returns the PAD token for FNet (`<pad>`)
    pub fn pad_value() -> &'static str {
        "<pad>"
    }
}

impl Vocab for FNetVocab {
    fn unknown_value() -> &'static str {
        "<unk>"
    }

    fn get_unknown_value(&self) -> &'static str {
        "<unk>"
    }

    fn values(&self) -> &HashMap<String, i64> {
        &self.values
    }

    fn indices(&self) -> &HashMap<i64, String> {
        &self.indices
    }

    fn special_values(&self) -> &HashMap<String, i64> {
        &self.special_values
    }

    fn special_indices(&self) -> &HashMap<i64, String> {
        &self.special_indices
    }

    fn from_file(path: &str) -> Result<FNetVocab, TokenizerError> {
        let mut f = File::open(path).map_err(|e| {
            TokenizerError::FileNotFound(format!("{} vocabulary file not found :{}", path, e))
        })?;
        let mut contents = Vec::new();
        let proto = match f.read_to_end(&mut contents) {
            Ok(_) => match ModelProto::parse_from_bytes(contents.as_slice()) {
                Ok(proto_value) => proto_value,
                Err(e) => {
                    return Err(TokenizerError::VocabularyParsingError(e.to_string()));
                }
            },
            Err(e) => {
                return Err(TokenizerError::VocabularyParsingError(e.to_string()));
            }
        };

        let mut values = HashMap::new();
        for (idx, piece) in proto.get_pieces().iter().enumerate() {
            values.insert(piece.get_piece().to_owned(), idx as i64);
        }

        let mut special_values = HashMap::new();
        let unknown_value = FNetVocab::unknown_value();
        FNetVocab::_register_as_special_value(unknown_value, &values, &mut special_values)?;

        let cls_value = FNetVocab::cls_value();
        FNetVocab::_register_as_special_value(cls_value, &values, &mut special_values)?;

        let mask_value = FNetVocab::mask_value();
        FNetVocab::_register_as_special_value(mask_value, &values, &mut special_values)?;

        let pad_value = FNetVocab::pad_value();
        FNetVocab::_register_as_special_value(pad_value, &values, &mut special_values)?;

        let sep_value = FNetVocab::sep_value();
        FNetVocab::_register_as_special_value(sep_value, &values, &mut special_values)?;

        let indices = swap_key_values(&values);
        let special_indices = swap_key_values(&special_values);

        Ok(FNetVocab {
            values,
            indices,
            unknown_value,
            special_values,
            special_indices,
        })
    }

    fn token_to_id(&self, token: &str) -> i64 {
        self._token_to_id(
            token,
            &self.values,
            &self.special_values,
            self.unknown_value,
        )
    }

    fn id_to_token(&self, id: &i64) -> String {
        self._id_to_token(id, &self.indices, &self.special_indices, self.unknown_value)
    }
}