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# FSTDT Quotes dataset loading script

import os
import json

import datasets


class FSTDTQuotes(datasets.GeneratorBasedBuilder):
    def _info(self):
        return datasets.DatasetInfo(
            description='Quotes submitted to FSTDT',
            features=datasets.Features({
                'id': datasets.Value('string'),
                'submitter': datasets.Value('string'),
                'timestamp': datasets.Value('string')
                'name': datasets.Value('string'),
                'src_url': datasets.Value('string'),
                'tags': datasets.Sequence(datasets.Value('string')),
                'quote': datasets.Value('string')
            })
        )

    def _split_generators(self, dl_manager):
        data_files = dl_manager.download_and_extract({
            'train': 'train.json',
            'validation': 'validation.json',
            'test': 'test.json'
        })
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={'filepath': data_files['train']}
            ),
            datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                gen_kwargs={'filepath': data_files['validation']}
            ),
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={'filepath': data_files['test']}
            )
        ]

    def _generate_examples(self, filepath):
        with open(filepath) as f:
            for key, row in enumerate(f):
                yield key, json.loads(row)