import os
import pandas as pd
import datasets

_CITATION = """\
@InProceedings{YourReferenceHere,
}
"""

_DESCRIPTION = """\
Description of your dataset.
"""

_HOMEPAGE = "https://dataset-homepage/"
_LICENSE = "Dataset License"

_URLS = {
    "Network-Flows": "Network-Flows/CICIDS_Flow.csv",
    "Packet-Fields": "Packet-Fields/Packet_Fields_File_10.csv",
    "Packet-Bytes": "Packet-Bytes/Packet_Bytes_File_10.csv",
    "Payload-Bytes": "Payload-Bytes/Payload_Bytes_File_10.csv",
}


class YourDataset(datasets.GeneratorBasedBuilder):

    VERSION = datasets.Version("1.0.0")

    BUILDER_CONFIGS = [
        datasets.BuilderConfig(name=config_name, version=VERSION, description=f"This part of my dataset covers {config_name}")
        for config_name in _URLS.keys()
    ]

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features({
                # TODO: Adjust features according to your dataset
                "flow_id": datasets.Value("int64"),
                "attack_label": datasets.Value("string"),
                # More columns...
            }),
            homepage=_HOMEPAGE,
            license=_LICENSE,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        url = os.path.join(self.config.data_dir, _URLS[self.config.name])
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={"filepath": url},
            ),
        ]

    def _generate_examples(self, filepath):
        df = pd.read_csv(filepath)
        for id_, row in df.iterrows():
            yield id_, row.to_dict()