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"""JSON parser for Stats Perform MA3 feeds."""
from datetime import datetime
from typing import Any, Optional
import pandas as pd
from ...base import MissingDataError
from .base import OptaJSONParser, _get_end_x, _get_end_y, assertget
class MA3JSONParser(OptaJSONParser):
"""Extract data from a Stats Perform MA3 data stream.
Parameters
----------
path : str
Path of the data file.
"""
_position_map = {
1: "Goalkeeper",
2: "Defender",
3: "Midfielder",
4: "Forward",
5: "Substitute",
}
def _get_match_info(self) -> dict[str, Any]:
if "matchInfo" in self.root:
return self.root["matchInfo"]
raise MissingDataError
def _get_live_data(self) -> dict[str, Any]:
if "liveData" in self.root:
return self.root["liveData"]
raise MissingDataError
def extract_competitions(self) -> dict[tuple[str, str], dict[str, Any]]:
"""Return a dictionary with all available competitions.
Returns
-------
dict
A mapping between competion IDs and the information available about
each competition in the data stream.
"""
match_info = self._get_match_info()
season = assertget(match_info, "tournamentCalendar")
competition = assertget(match_info, "competition")
competition_id = assertget(competition, "id")
season_id = assertget(season, "id")
season = {
# Fields required by the base schema
"season_id": season_id,
"season_name": assertget(season, "name"),
"competition_id": competition_id,
"competition_name": assertget(competition, "name"),
}
return {(competition_id, season_id): season}
def extract_games(self) -> dict[str, dict[str, Any]]:
"""Return a dictionary with all available games.
Returns
-------
dict
A mapping between game IDs and the information available about
each game in the data stream.
"""
match_info = self._get_match_info()
game_id = assertget(match_info, "id")
season = assertget(match_info, "tournamentCalendar")
competition = assertget(match_info, "competition")
contestant = assertget(match_info, "contestant")
game_date = assertget(match_info, "date")[0:10]
game_time = assertget(match_info, "time")[0:8]
game_datetime = f"{game_date}T{game_time}"
venue = assertget(match_info, "venue")
game_obj = {
"game_id": game_id,
"competition_id": assertget(competition, "id"),
"season_id": assertget(season, "id"),
"game_day": int(match_info["week"]) if "week" in match_info else None,
"game_date": datetime.strptime(game_datetime, "%Y-%m-%dT%H:%M:%S"),
"home_team_id": self._extract_team_id(contestant, "home"),
"away_team_id": self._extract_team_id(contestant, "away"),
"venue": assertget(venue, "shortName"),
}
live_data = self._get_live_data()
if "matchDetails" in live_data:
match_details = assertget(live_data, "matchDetails")
if "matchLengthMin" in match_details:
game_obj["duration"] = assertget(match_details, "matchLengthMin")
if "scores" in match_details:
scores = assertget(match_details, "scores")
game_obj["home_score"] = assertget(scores, "total")["home"]
game_obj["away_score"] = assertget(scores, "total")["away"]
return {game_id: game_obj}
def extract_teams(self) -> dict[str, dict[str, Any]]:
"""Return a dictionary with all available teams.
Returns
-------
dict
A mapping between team IDs and the information available about
each team in the data stream.
"""
match_info = self._get_match_info()
contestants = assertget(match_info, "contestant")
teams = {}
for contestant in contestants:
team_id = assertget(contestant, "id")
team = {
# Fields required by the base schema
"team_id": team_id,
"team_name": assertget(contestant, "name"),
}
teams[team_id] = team
return teams
def extract_players(self) -> dict[tuple[str, str], dict[str, Any]]: # noqa: C901
"""Return a dictionary with all available players.
Returns
-------
dict
A mapping between (game ID, player ID) tuples and the information
available about each player in the data stream.
"""
match_info = self._get_match_info()
game_id = assertget(match_info, "id")
live_data = self._get_live_data()
events = assertget(live_data, "event")
game_duration = self._extract_duration()
playerid_to_name = {}
players_data: dict[str, list[Any]] = {
"starting_position_id": [],
"player_id": [],
"team_id": [],
"position_in_formation": [],
"jersey_number": [],
}
red_cards = {}
for event in events:
event_type = assertget(event, "typeId")
if event_type == 34:
team_id = assertget(event, "contestantId")
qualifiers = assertget(event, "qualifier")
for q in qualifiers:
qualifier_id = assertget(q, "qualifierId")
value = assertget(q, "value")
value = value.split(", ")
if qualifier_id == 30:
players_data["player_id"] += value
team = [team_id for _ in range(len(value))]
players_data["team_id"] += team
elif qualifier_id == 44:
value = [int(v) for v in value]
players_data["starting_position_id"] += value
elif qualifier_id == 131:
value = [int(v) for v in value]
players_data["position_in_formation"] += value
elif qualifier_id == 59:
value = [int(v) for v in value]
players_data["jersey_number"] += value
elif event_type == 17 and "playerId" in event:
qualifiers = assertget(event, "qualifier")
for q in qualifiers:
qualifier_id = assertget(q, "qualifierId")
if qualifier_id in [32, 33]:
red_cards[event["playerId"]] = event["timeMin"]
player_id = event.get("playerId")
if player_id is None:
continue
player_name = assertget(event, "playerName")
if player_id not in playerid_to_name:
playerid_to_name[player_id] = player_name
df_players_data = pd.DataFrame.from_dict(players_data) # type: ignore
substitutions = list(self.extract_substitutions().values())
substitutions_columns = ["player_id", "team_id", "minute_start", "minute_end"]
df_substitutions = pd.DataFrame(substitutions, columns=substitutions_columns)
df_substitutions = df_substitutions.groupby(["player_id", "team_id"]).max().reset_index()
df_substitutions["minute_start"] = df_substitutions["minute_start"].fillna(0)
df_substitutions["minute_end"] = df_substitutions["minute_end"].fillna(game_duration)
if df_substitutions.empty:
df_players_data["minute_start"] = 0
df_players_data["minute_end"] = game_duration
else:
df_players_data = df_players_data.merge(
df_substitutions, on=["team_id", "player_id"], how="left"
)
df_players_data["minute_end"] = df_players_data.apply(
lambda row: red_cards[row["player_id"]]
if row["player_id"] in red_cards
else row["minute_end"],
axis=1,
)
df_players_data["is_starter"] = df_players_data["position_in_formation"] > 0
df_players_data.loc[
df_players_data["is_starter"] & df_players_data["minute_start"].isnull(),
"minute_start",
] = 0
df_players_data.loc[
df_players_data["is_starter"] & df_players_data["minute_end"].isnull(), "minute_end"
] = game_duration
df_players_data["minutes_played"] = (
(df_players_data["minute_end"] - df_players_data["minute_start"]).fillna(0).astype(int)
)
players = {}
for _, player in df_players_data.iterrows():
if player.minutes_played > 0:
players[(game_id, player.player_id)] = {
# Fields required by the base schema
"game_id": game_id,
"team_id": player.team_id,
"player_id": player.player_id,
"player_name": playerid_to_name[player.player_id],
"is_starter": player.is_starter,
"minutes_played": player.minutes_played,
"jersey_number": player.jersey_number,
# Fields required by the opta schema
"starting_position": self._position_map.get(
player.starting_position_id, "Unknown"
),
}
return players
def extract_events(self) -> dict[tuple[str, int], dict[str, Any]]:
"""Return a dictionary with all available events.
Returns
-------
dict
A mapping between (game ID, event ID) tuples and the information
available about each event in the data stream.
"""
match_info = self._get_match_info()
live_data = self._get_live_data()
game_id = assertget(match_info, "id")
events = {}
for element in assertget(live_data, "event"):
timestamp_string = assertget(element, "timeStamp")
timestamp = self._convert_timestamp(timestamp_string)
qualifiers = {
int(q["qualifierId"]): q.get("value") for q in element.get("qualifier", [])
}
start_x = float(assertget(element, "x"))
start_y = float(assertget(element, "y"))
end_x = _get_end_x(qualifiers)
end_y = _get_end_y(qualifiers)
event_id = int(assertget(element, "id"))
event = {
# Fields required by the base schema
"game_id": game_id,
"event_id": event_id,
"period_id": int(assertget(element, "periodId")),
"team_id": assertget(element, "contestantId"),
"player_id": element.get("playerId"),
"type_id": int(assertget(element, "typeId")),
# Fields required by the opta schema
"timestamp": timestamp,
"minute": int(assertget(element, "timeMin")),
"second": int(assertget(element, "timeSec")),
"outcome": bool(int(element.get("outcome", 1))),
"start_x": start_x,
"start_y": start_y,
"end_x": end_x if end_x is not None else start_x,
"end_y": end_y if end_y is not None else start_y,
"qualifiers": qualifiers,
# Optional fields
"assist": bool(int(element.get("assist", 0))),
"keypass": bool(int(element.get("keyPass", 0))),
}
events[(game_id, event_id)] = event
return events
def extract_substitutions(self) -> dict[int, dict[str, Any]]:
"""Return a dictionary with all substitution events.
Returns
-------
dict
A mapping between player IDs and the information available about
each substitution in the data stream.
"""
live_data = self._get_live_data()
events = assertget(live_data, "event")
subs = {}
for e in events:
event_type = assertget(e, "typeId")
if event_type in (18, 19):
sub_id = assertget(e, "playerId")
substitution_data = {
"player_id": assertget(e, "playerId"),
"team_id": assertget(e, "contestantId"),
}
if event_type == 18:
substitution_data["minute_end"] = assertget(e, "timeMin")
else:
substitution_data["minute_start"] = assertget(e, "timeMin")
subs[sub_id] = substitution_data
return subs
def _extract_duration(self) -> int:
live_data = self._get_live_data()
events = assertget(live_data, "event")
game_duration = 90
for event in events:
event_type = assertget(event, "typeId")
if event_type == 30:
# todo: add 1st half time
qualifiers = assertget(event, "qualifier")
for q in qualifiers:
qualifier = assertget(q, "qualifierId")
if qualifier == 209:
new_duration = assertget(event, "timeMin")
if new_duration > game_duration:
game_duration = new_duration
return game_duration
@staticmethod
def _extract_team_id(teams: list[dict[str, str]], side: str) -> Optional[str]:
for team in teams:
team_side = assertget(team, "position")
if team_side == side:
team_id = assertget(team, "id")
return team_id
raise MissingDataError
@staticmethod
def _convert_timestamp(timestamp_string: str) -> datetime:
try:
return datetime.strptime(timestamp_string, "%Y-%m-%dT%H:%M:%S.%fZ")
except ValueError:
return datetime.strptime(timestamp_string, "%Y-%m-%dT%H:%M:%SZ")
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