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

class Euro2020Dataset(DatasetBuilder):
    VERSION = "1.0.0" 

    def _info(self):
        return DatasetInfo(
            description="Your dataset description here.",
            features=Features({
                "HomeTeamName": Value("string"),
                "AwayTeamName": Value("string"),
                "DateandTimeCET": Value("string"),
                "MatchID": Value("int64"),
                "RoundName": Value("string"),
                "Stage": Value("string"),
                "MatchDay": Value("int64"),
                "Session": Value("int64"),
                "MatchMinute": Value("int64"),
                "InjuryTime": Value("int64"),
                "NumberofPhases": Value("int64"),
                "Phase": Value("int64"),
                "ScoreHome": Value("int64"),
                "ScoreAway": Value("int64"),
                "MatchStatus": Value("string"),
                "StadiumID": Value("int64"),
                "NumberofMatchesRefereedPostMatch": Value("int64"),
                "TotalNumberofMatchesRefereed": Value("int64"),
                "NumberofMatchesRefereedinGroupStage": Value("int64"),
                "NumberofMatchesRefereedinKnockoutStage": Value("int64"),
                "AssistantRefereeWebName": Value("string"),
                "Humidity": Value("int64"),
                "Temperature": Value("int64"),
                "WindSpeed": Value("int64"),
                "MatchEvent": Features({
                    "1-First Half": Features({
                        "Event": Value("string"),
                        "Minute": Value("int"),
                        "Phase": Value("int"),
                        "InjuryMinute": Value("int"),
                        "TeamFromID": Value("float"),
                        "TeamToID": Value("float"),
                        "PlayerFromID": Value("float"),
                        "PlayerToID": Value("float"),
                        "Time": Value("string"),
                        "MatchEventAttribute": Value("float"),
                    }),
                    "2-Second Half": Features({
                        "Event": Value("string"),
                        "Minute": Value("int"),
                        "Phase": Value("int"),
                        "InjuryMinute": Value("int"),
                        "TeamFromID": Value("float"),
                        "TeamToID": Value("float"),
                        "PlayerFromID": Value("float"),
                        "PlayerToID": Value("float"),
                        "Time": Value("string"),
                        "MatchEventAttribute": Value("float"),
                    }),
                    "3-Extra Time First Half": Features({
                        "Event": Value("string"),
                        "Minute": Value("int"),
                        "Phase": Value("int"),
                        "InjuryMinute": Value("int"),
                        "TeamFromID": Value("float"),
                        "TeamToID": Value("float"),
                        "PlayerFromID": Value("float"),
                        "PlayerToID": Value("float"),
                        "Time": Value("string"),
                        "MatchEventAttribute": Value("float"),
                    }),
                    "4-Extra Time Second Half": Features({
                        "Event": Value("string"),
                        "Minute": Value("int"),
                        "Phase": Value("int"),
                        "InjuryMinute": Value("int"),
                        "TeamFromID": Value("float"),
                        "TeamToID": Value("float"),
                        "PlayerFromID": Value("float"),
                        "PlayerToID": Value("float"),
                        "Time": Value("string"),
                        "MatchEventAttribute": Value("float"),
                    }),
                    "5-Penalty Shootout": Features({
                        "Event": Value("string"),
                        "Minute": Value("int"),
                        "Phase": Value("int"),
                        "InjuryMinute": Value("int"),
                        "TeamFromID": Value("float"),
                        "TeamToID": Value("float"),
                        "PlayerFromID": Value("float"),
                        "PlayerToID": Value("float"),
                        "Time": Value("string"),
                        "MatchEventAttribute": Value("float"),
                    }),
                }),
                "TeamLineUps": Value("dict"),
                "TeamStats": Value("dict"),
                "PlayerStats": Value("dict"),
                "PlayerPreMatchInfo": Value("dict"),
            }),
            supervised_keys=None,
            homepage="Optional dataset homepage",
            license= "",
            citation="Optional citation"
        )

    def _split_generators(self, dl_manager):
        # Since the final processed dataset is a single CSV file that combines the content from numerous rows to only 51 rows,
        # with each row representing the information of each game, I wil just use a single 'train' split and no need for test / validation.
        return [
            SplitGenerator(
                name="train",
                gen_kwargs={"filepath": "ForzaJuve1/UEFA_Euro_2020_Data"}
            ),
        ]

    #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
            #}