from datasets import DatasetBuilder, DatasetInfo, Features, Value, SplitGenerator
import pandas as pd

class Euro2020Dataset(DatasetBuilder):
    VERSION = "1.0.0"  # Change as needed
    BUILDER_CONFIGS = ["euro2020"]  # Not strictly necessary but useful for multiple datasets

    def _info(self):
        return DatasetInfo(
            description="Your dataset description here.",
            features=Features({
                "PlayerID": Value("int32"),
                "PlayerName": Value("string"),
                "PlayerSurname": Value("string"),
                "IsGoalkeeper": Value("bool"),
                "PlayedTime": Value("int32"),
                "StatsID": Value("int32"),
                "StatsName": Value("string"),
                "Value": Value("string"),  # Adjust according to actual content type
                "Rank": Value("int32"),
                # Add or remove columns as needed
            }),
            supervised_keys=None,
            homepage="Optional dataset homepage",
            citation="Optional citation",
        )

    def _split_generators(self, dl_manager):
        # Here you define how the data should be split (train, test, validation, etc.)
        # Since you have a single CSV file, let's assume a single 'train' split for simplicity
        return [
            SplitGenerator(
                name="train",
                gen_kwargs={"filepath": "path/to/your/euro2020.csv"}
            ),
        ]

    def _generate_examples(self, filepath):
        # Here we read the CSV file and yield examples
        data = pd.read_csv(filepath)
        for idx, row in data.iterrows():
            yield idx, {
                "PlayerID": row["PlayerID"],
                "PlayerName": row["PlayerName"],
                "PlayerSurname": row["PlayerSurname"],
                "IsGoalkeeper": row["IsGoalkeeper"],
                "PlayedTime": row["PlayedTime"],
                "StatsID": row["StatsID"],
                "StatsName": row["StatsName"],
                "Value": row["Value"],
                "Rank": row["Rank"],
                # Make sure to include all fields defined in _info
            }