# 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 json
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__ = ["LCSTSNew"]


class LCSTSNew(DatasetBuilder):
    """
    Large-scale Chinese Short Text Summarization(LCSTS) dataset is
    constructed by utilizing the naturally annotated web resources
    on Sina Weibo. For more information, please refer
    to `https://aclanthology.org/D15-1229.pdf`.
    """

    META_INFO = collections.namedtuple("META_INFO", ("file", "md5", "URL"))
    SPLITS = {
        "train": META_INFO(
            os.path.join("train.json"),
            "4e06fd1cfd5e7f0380499df8cbe17237",
            "https://bj.bcebos.com/paddlenlp/datasets/LCSTS_new/train.json",
        ),
        "dev": META_INFO(
            os.path.join("dev.json"),
            "9c39d49d25d5296bdc537409208ddc85",
            "https://bj.bcebos.com/paddlenlp/datasets/LCSTS_new/dev.json",
        ),
    }

    def _get_data(self, mode, **kwargs):
        default_root = os.path.join(DATA_HOME, self.__class__.__name__)
        filename, data_hash, URL = self.SPLITS[mode]
        fullname = os.path.join(default_root, filename)
        if not os.path.exists(fullname) or (data_hash and not md5file(fullname) == data_hash):
            get_path_from_url(URL, default_root)

        return fullname

    def _read(self, filename, *args):
        with open(filename, "r", encoding="utf8") as f:
            for line in f:
                line = line.strip()
                if not line:
                    continue
                json_data = json.loads(line)

                yield {"source": json_data["content"], "target": json_data.get("summary", ""), "id": json_data["id"]}