# Copyright (c) 2021 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 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__ = ["Cote"]


class Cote(DatasetBuilder):
    """
    COTE_DP/COTE-BD/COTE-MFW dataset for Opinion Role Labeling task.
    More information please refer to https://aistudio.baidu.com/aistudio/competition/detail/50/?isFromLuge=1.

    """

    BUILDER_CONFIGS = {
        "dp": {
            "url": "https://bj.bcebos.com/paddlenlp/datasets/COTE-DP.zip",
            "md5": "a73d4170a283a2264a41c3ee9eb4d262",
            "splits": {
                "train": [os.path.join("COTE-DP", "train.tsv"), "17d11ca91b7979f2c2023757650096e5"],
                "test": [os.path.join("COTE-DP", "test.tsv"), "5bb9b9ccaaee6bcc1ac7a6c852b46f66"],
            },
            "labels": ["B", "I", "O"],
        },
        "bd": {
            "url": "https://bj.bcebos.com/paddlenlp/datasets/COTE-BD.zip",
            "md5": "8d87ff9bb6f5e5d46269d72632a1b01f",
            "splits": {
                "train": [os.path.join("COTE-BD", "train.tsv"), "4c08ccbcc373cb3bf05c3429d435f608"],
                "test": [os.path.join("COTE-BD", "test.tsv"), "aeb5c9af61488dadb12cbcc1d2180667"],
            },
            "labels": ["B", "I", "O"],
        },
        "mfw": {
            "url": "https://bj.bcebos.com/paddlenlp/datasets/COTE-MFW.zip",
            "md5": "c85326bf2be4424d03373ea70cb32c3f",
            "splits": {
                "train": [os.path.join("COTE-MFW", "train.tsv"), "01fc90b9098d35615df6b8d257eb46ca"],
                "test": [os.path.join("COTE-MFW", "test.tsv"), "c61a475917a461089db141c59c688343"],
            },
            "labels": ["B", "I", "O"],
        },
    }

    def _get_data(self, mode, **kwargs):
        """Downloads dataset."""
        builder_config = self.BUILDER_CONFIGS[self.name]
        default_root = os.path.join(DATA_HOME, f"COTE-{self.name.upper()}")
        filename, data_hash = builder_config["splits"][mode]
        fullname = os.path.join(default_root, filename)
        if not os.path.exists(fullname) or (data_hash and not md5file(fullname) == data_hash):
            url = builder_config["url"]
            md5 = builder_config["md5"]
            get_path_from_url(url, DATA_HOME, md5)

        return fullname

    def _read(self, filename, split):
        """Reads data"""
        with open(filename, "r", encoding="utf-8") as f:
            for idx, line in enumerate(f):
                if idx == 0:
                    # ignore first line about title
                    continue
                line_stripped = line.strip().split("\t")
                if not line_stripped:
                    continue
                if split == "test":
                    yield {"tokens": list(line_stripped[1])}
                else:
                    try:
                        entity, text = line_stripped[0], line_stripped[1]
                        start_idx = text.index(entity)
                    except Exception:
                        # drop the dirty data
                        continue

                    labels = ["O"] * len(text)
                    labels[start_idx] = "B"
                    for idx in range(start_idx + 1, start_idx + len(entity)):
                        labels[idx] = "I"
                    yield {"tokens": list(text), "labels": labels, "entity": entity}

    def get_labels(self):
        """
        Return labels of the COTE.
        """
        return self.BUILDER_CONFIGS[self.name]["labels"]