# coding=utf-8
# Copyright 2020 HuggingFace Datasets Authors.
#
# 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
#
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# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# Lint as: python3
"""Political Stance in Danish"""

import csv
import os

import datasets


logger = datasets.logging.get_logger(__name__)


_CITATION = """\
@inproceedings{lehmann2019political,
  title={Political Stance in Danish},
  author={Lehmann, Rasmus and Derczynski, Leon},
  booktitle={Proceedings of the 22nd Nordic Conference on Computational Linguistics},
  pages={197--207},
  year={2019}
}
"""

_DESCRIPTION = """\
Political stance in Danish. Examples represent statements by 
politicians and are annotated for, against, or neutral to a given topic/article.
"""

_URL = "https://raw.githubusercontent.com/StrombergNLP/Political-Stance-in-Danish/master/Scraper/resources/parsedQuotes/quote_db.csv"


class PolStanceConfig(datasets.BuilderConfig):
    """BuilderConfig for PolStance"""

    def __init__(self, **kwargs):
        """BuilderConfig PolStance.

        Args:
          **kwargs: keyword arguments forwarded to super.
        """
        super(PolStanceConfig, self).__init__(**kwargs)


class PolStance(datasets.GeneratorBasedBuilder):
    """PolStance dataset."""

    BUILDER_CONFIGS = [
        PolStanceConfig(name="PolStance", version=datasets.Version("1.0.0"), description="Political Stance in Danish"),
    ]

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                # quoteID;party;politician;date;quote;falsePositive;subTopic;fan;articleID;topic
                {
                    "id": datasets.Value("string"),
                    "topic": datasets.Value("string"),
                    "quote": datasets.Value("string"),
                    "label": datasets.features.ClassLabel(
                            names=["a", "n", "f"]
                    ),
                    "quoteID": datasets.Value("string"),
                    "party": datasets.Value("string"),
                    "politician": datasets.Value("string"),
                    "quoteID": datasets.Value("string"),
                }
            ),
            supervised_keys=None,
            homepage="https://stromberg.ai/publication/politicalstanceindanish/",
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        downloaded_file = dl_manager.download_and_extract(_URL)

        return [
            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_file}),
        ]

    def _generate_examples(self, filepath):
        logger.info("⏳ Generating examples from = %s", filepath)
        with open(filepath, encoding="utf-16") as f:
            PolStance_reader = csv.DictReader(f, delimiter=";", quotechar='"')
            guid = 0
            for instance in PolStance_reader:
                if not instance["fan"]:
                    continue
                instance["topic"] = instance["topic"].rstrip()
                instance["id"] = str(guid)
                instance["label"] = instance.pop("fan")
                for dropfield in ('falsePositive', 'subTopic', 'date', 'articleID'):
                    instance.pop(dropfield)
                yield guid, instance
                guid += 1