# Copyright (c) 2020 PaddlePaddle Authors. 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.

import collections
import os

from paddle.dataset.common import md5file
from paddle.utils.download import get_path_from_url

from ..utils.env import DATA_HOME
from .dataset import DatasetBuilder

__all__ = ["IWSLT15"]


class IWSLT15(DatasetBuilder):
    """
    Created by Stanford at 2015, the IWSLT 15 English-Vietnamese Sentence
    pairs for translation., in Multi-Lingual language. Containing 133 in Text
    file format.
    """

    URL = "https://bj.bcebos.com/paddlenlp/datasets/iwslt15.en-vi.tar.gz"
    META_INFO = collections.namedtuple("META_INFO", ("src_file", "tgt_file", "src_md5", "tgt_md5"))
    MD5 = "aca22dc3f90962e42916dbb36d8f3e8e"
    SPLITS = {
        "train": META_INFO(
            os.path.join("iwslt15.en-vi", "train.en"),
            os.path.join("iwslt15.en-vi", "train.vi"),
            "5b6300f46160ab5a7a995546d2eeb9e6",
            "858e884484885af5775068140ae85dab",
        ),
        "dev": META_INFO(
            os.path.join("iwslt15.en-vi", "tst2012.en"),
            os.path.join("iwslt15.en-vi", "tst2012.vi"),
            "c14a0955ed8b8d6929fdabf4606e3875",
            "dddf990faa149e980b11a36fca4a8898",
        ),
        "test": META_INFO(
            os.path.join("iwslt15.en-vi", "tst2013.en"),
            os.path.join("iwslt15.en-vi", "tst2013.vi"),
            "c41c43cb6d3b122c093ee89608ba62bd",
            "a3185b00264620297901b647a4cacf38",
        ),
    }
    VOCAB_INFO = (
        os.path.join("iwslt15.en-vi", "vocab.en"),
        os.path.join("iwslt15.en-vi", "vocab.vi"),
        "98b5011e1f579936277a273fd7f4e9b4",
        "e8b05f8c26008a798073c619236712b4",
    )
    UNK_TOKEN = "<unk>"
    BOS_TOKEN = "<s>"
    EOS_TOKEN = "</s>"

    def _get_data(self, mode, **kwargs):
        default_root = os.path.join(DATA_HOME, self.__class__.__name__)
        src_filename, tgt_filename, src_data_hash, tgt_data_hash = self.SPLITS[mode]
        src_fullname = os.path.join(default_root, src_filename)
        tgt_fullname = os.path.join(default_root, tgt_filename)

        src_vocab_filename, src_vocab_hash, tgt_vocab_filename, tgt_vocab_hash = self.VOCAB_INFO
        src_vocab_fullname = os.path.join(default_root, src_vocab_filename)
        tgt_vocab_fullname = os.path.join(default_root, tgt_vocab_filename)

        if (
            (not os.path.exists(src_fullname) or (src_data_hash and not md5file(src_fullname) == src_data_hash))
            or (not os.path.exists(tgt_fullname) or (tgt_data_hash and not md5file(tgt_fullname) == tgt_data_hash))
            or (
                not os.path.exists(src_vocab_fullname)
                or (src_vocab_hash and not md5file(src_vocab_fullname) == src_vocab_hash)
            )
            or (
                not os.path.exists(tgt_vocab_fullname)
                or (tgt_vocab_hash and not md5file(tgt_vocab_fullname) == tgt_vocab_hash)
            )
        ):
            get_path_from_url(self.URL, default_root, self.MD5)

        return src_fullname, tgt_fullname

    def _read(self, filename, *args):
        src_filename, tgt_filename = filename
        with open(src_filename, "r", encoding="utf-8") as src_f:
            with open(tgt_filename, "r", encoding="utf-8") as tgt_f:
                for src_line, tgt_line in zip(src_f, tgt_f):
                    src_line = src_line.strip()
                    tgt_line = tgt_line.strip()
                    if not src_line and not tgt_line:
                        continue
                    yield {"en": src_line, "vi": tgt_line}

    def get_vocab(self):
        en_vocab_fullname = os.path.join(DATA_HOME, self.__class__.__name__, self.VOCAB_INFO[0])
        vi_vocab_fullname = os.path.join(DATA_HOME, self.__class__.__name__, self.VOCAB_INFO[1])

        # Construct vocab_info to match the form of the input of `Vocab.load_vocabulary()` function
        vocab_info = {
            "en": {
                "filepath": en_vocab_fullname,
                "unk_token": self.UNK_TOKEN,
                "bos_token": self.BOS_TOKEN,
                "eos_token": self.EOS_TOKEN,
            },
            "vi": {
                "filepath": vi_vocab_fullname,
                "unk_token": self.UNK_TOKEN,
                "bos_token": self.BOS_TOKEN,
                "eos_token": self.EOS_TOKEN,
            },
        }
        return vocab_info