# coding=utf-8
# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace NLP 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
#
# 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.

# Lint as: python3
"""Open Data Rechtspraak dutch topic classification dataset."""

from __future__ import absolute_import, division, print_function

import csv

# import nlp # old loader
import datasets
from datasets.tasks import TextClassification


_DESCRIPTION = """\
still a WIP, Dataset originally comes from Open Data van de Rechtspraak"
"""

_TRAIN_DOWNLOAD_URL = "https://huggingface.co/datasets/Rodekool/ornl26/resolve/main/train.csv"
_TEST_DOWNLOAD_URL  = "https://huggingface.co/datasets/Rodekool/ornl26/resolve/main/test.csv"


class ORnl(datasets.GeneratorBasedBuilder):
    """Open Data van de Rechtspraak dutch topic classification dataset."""

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "text": datasets.Value("string"),
                    "label": datasets.features.ClassLabel(names=[
'Aanbestedingsrecht',
'Ambtenarenrecht',
'Arbeidsrecht',
'Belastingrecht',
'Bestuursprocesrecht',
'Bestuursstrafrecht',
'Burgerlijk procesrecht',
'Europees bestuursrecht',
'Europees civiel recht',
'Europees strafrecht',
'Goederenrecht',
'Insolventierecht',
'Intellectueel-eigendomsrecht',
'Internationaal privaatrecht',
'Internationaal strafrecht',
'Materieel strafrecht',
'Mededingingsrecht',
'Omgevingsrecht',
'Ondernemingsrecht',
'Penitentiair strafrecht',
'Personen- en familierecht',
'Socialezekerheidsrecht',
'Strafprocesrecht',
'Verbintenissenrecht',
'Volkenrecht',
'Vreemdelingenrecht',
]),
                }
            ),
            homepage="https://www.rechtspraak.nl/Uitspraken/paginas/open-data.aspx",
        )

    def _split_generators(self, dl_manager):
        train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
        test_path = dl_manager.download_and_extract(_TEST_DOWNLOAD_URL)
        return [
            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}),
        ]

    def _generate_examples(self, filepath):
        """Generate Rechtspraak examples."""
        with open(filepath, encoding="utf-8") as csv_file:
            csv_reader = csv.reader(
                csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
            )
            for id_, row in enumerate(csv_reader):
                label, title, description = row
                
                # Original labels are [1, 2, ... 25, 26] ->
                # Re-map to [0, 1, ... 24, 25].
                
                label = int(label) - 1
                text = " ".join((title, description))
                yield id_, {"text": text, "label": label}