class EventDataLoader(ABC):
    """Load event data either from a remote location or from a local folder.

    Parameters
    ----------
    root : str
        Root-path of the data.
    getter : str
        "remote" or "local"
    """

    @abstractmethod
    def competitions(self) -> DataFrame[Any]:
        """Return a dataframe with all available competitions and seasons.

        Returns
        -------
        pd.DataFrame
            A dataframe containing all available competitions and seasons. See
            :class:`~socceraction.spadl.base.CompetitionSchema` for the schema.
        """

    @abstractmethod
    def games(self, competition_id: int, season_id: int) -> DataFrame[Any]:
        """Return a dataframe with all available games in a season.

        Parameters
        ----------
        competition_id : int
            The ID of the competition.
        season_id : int
            The ID of the season.

        Returns
        -------
        pd.DataFrame
            A dataframe containing all available games. See
            :class:`~socceraction.spadl.base.GameSchema` for the schema.
        """

    @abstractmethod
    def teams(self, game_id: int) -> DataFrame[Any]:
        """Return a dataframe with both teams that participated in a game.

        Parameters
        ----------
        game_id : int
            The ID of the game.

        Returns
        -------
        pd.DataFrame
            A dataframe containing both teams. See
            :class:`~socceraction.spadl.base.TeamSchema` for the schema.
        """

    @abstractmethod
    def players(self, game_id: int) -> DataFrame[Any]:
        """Return a dataframe with all players that participated in a game.

        Parameters
        ----------
        game_id : int
            The ID of the game.

        Returns
        -------
        pd.DataFrame
            A dataframe containing all players. See
            :class:`~socceraction.spadl.base.PlayerSchema` for the schema.
        """

    @abstractmethod
    def events(self, game_id: int) -> DataFrame[Any]:
        """Return a dataframe with the event stream of a game.

        Parameters
        ----------
        game_id : int
            The ID of the game.

        Returns
        -------
        pd.DataFrame
            A dataframe containing the event stream. See
            :class:`~socceraction.spadl.base.EventSchema` for the schema.
        """ class MissingDataError(Exception):
    """Exception raised when a field is missing in the input data.""" class ParseError(Exception):
    """Exception raised when a file is not correctly formatted.""" def _localloadjson(path: str) -> JSONType:
    """Load a dictionary from a JSON's filepath.

    Parameters
    ----------
    path : str
        JSON's filepath.

    Returns
    -------
    JSONType
        A dictionary with the data loaded.
    """
    with open(path, 'rt', encoding='utf-8') as fh:
        return json.load(fh) def _remoteloadjson(path: str) -> JSONType:
    """Load JSON data from a URL.

    Parameters
    ----------
    path : str
        URL of the data source.

    Returns
    -------
    JSONType
        A dictionary with the loaded JSON data.
    """
    return json.loads(urlopen(path).read()) class WyscoutCompetitionSchema(CompetitionSchema):
    """Definition of a dataframe containing a list of competitions and seasons."""

    country_name: Series[str]
    competition_gender: Series[str] class WyscoutEventSchema(EventSchema):
    """Definition of a dataframe containing event stream data of a game."""

    milliseconds: Series[float]
    subtype_id: Series[int]
    subtype_name: Series[str]
    positions: Series[Object]
    tags: Series[Object] class WyscoutGameSchema(GameSchema):
    """Definition of a dataframe containing a list of games.""" class WyscoutPlayerSchema(PlayerSchema):
    """Definition of a dataframe containing the list of teams of a game."""

    firstname: Series[str]
    lastname: Series[str]
    nickname: Series[str] = pa.Field(nullable=True)
    birth_date: Series[DateTime] = pa.Field(nullable=True) class WyscoutTeamSchema(TeamSchema):
    """Definition of a dataframe containing the list of players of a game."""

    team_name_short: Series[str]
import glob
import os
import re
import warnings
import pandas as pd  # type: ignore
from pathlib import Path
from typing import Any, Dict, List, Optional, cast
from urllib.parse import urlparse
from urllib.request import urlopen, urlretrieve
from zipfile import ZipFile, is_zipfile
from pandera.typing import DataFrame
from ..base import (
    EventDataLoader,
    MissingDataError,
    ParseError,
    _localloadjson,
    _remoteloadjson,
)
from .schema import (
    WyscoutCompetitionSchema,
    WyscoutEventSchema,
    WyscoutGameSchema,
    WyscoutPlayerSchema,
    WyscoutTeamSchema,
)
"""Implements serializers for Wyscout data."""




class PublicWyscoutLoader(EventDataLoader):
    """
    Load the public Wyscout dataset.

    This dataset is a public release of event stream data, collected by Wyscout
    (https://wyscout.com/) containing all matches of the 2017/18 season of the
    top-5 European leagues (La Liga, Serie A, Bundesliga, Premier League, Ligue
    1), the FIFA World Cup 2018, and UEFA Euro Cup 2016. For a detailed
    description, see Pappalardo et al. [1]_.

    Parameters
    ----------
    root : str
        Path where a local copy of the dataset is stored or where the
        downloaded dataset should be stored.
    download : bool
        Whether to force a redownload of the data.

    References
    ----------
    .. [1] Pappalardo, L., Cintia, P., Rossi, A. et al. A public data set of
        spatio-temporal match events in soccer competitions. Sci Data 6, 236
        (2019). https://doi.org/10.1038/s41597-019-0247-7
    """

    def __init__(self, root: Optional[str] = None, download: bool = False) -> None:
        if root is None:
            self.root = os.path.join(os.getcwd(), 'wyscout_data')
            os.makedirs(self.root, exist_ok=True)
        else:
            self.root = root


        self.get = _localloadjson