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"""Utility functions for all event stream to SPADL converters.
A converter should implement 'convert_to_actions' to convert the events to the
SPADL format.
"""
import pandas as pd # type: ignore
from . import config as spadlconfig
def _fix_clearances(actions: pd.DataFrame) -> pd.DataFrame:
next_actions = actions.shift(-1)
next_actions[-1:] = actions[-1:]
clearance_idx = actions.type_id == spadlconfig.actiontypes.index("clearance")
actions.loc[clearance_idx, "end_x"] = next_actions[clearance_idx].start_x.values
actions.loc[clearance_idx, "end_y"] = next_actions[clearance_idx].start_y.values
return actions
def _fix_direction_of_play(actions: pd.DataFrame, home_team_id: int) -> pd.DataFrame:
away_idx = (actions.team_id != home_team_id).values
for col in ["start_x", "end_x"]:
actions.loc[away_idx, col] = spadlconfig.field_length - actions[away_idx][col].values
for col in ["start_y", "end_y"]:
actions.loc[away_idx, col] = spadlconfig.field_width - actions[away_idx][col].values
return actions
min_dribble_length: float = 3.0
max_dribble_length: float = 60.0
max_dribble_duration: float = 10.0
def _add_dribbles(actions: pd.DataFrame) -> pd.DataFrame:
next_actions = actions.shift(-1, fill_value=0)
same_team = actions.team_id == next_actions.team_id
# not_clearance = actions.type_id != actiontypes.index("clearance")
not_offensive_foul = same_team & (
next_actions.type_id != spadlconfig.actiontypes.index("foul")
)
not_headed_shot = (next_actions.type_id != spadlconfig.actiontypes.index("shot")) & (
next_actions.bodypart_id != spadlconfig.bodyparts.index("head")
)
dx = actions.end_x - next_actions.start_x
dy = actions.end_y - next_actions.start_y
far_enough = dx**2 + dy**2 >= min_dribble_length**2
not_too_far = dx**2 + dy**2 <= max_dribble_length**2
dt = next_actions.time_seconds - actions.time_seconds
same_phase = dt < max_dribble_duration
same_period = actions.period_id == next_actions.period_id
dribble_idx = (
same_team
& far_enough
& not_too_far
& same_phase
& same_period
& not_offensive_foul
& not_headed_shot
)
dribbles = pd.DataFrame()
prev = actions[dribble_idx]
nex = next_actions[dribble_idx]
dribbles["game_id"] = nex.game_id
dribbles["period_id"] = nex.period_id
dribbles["action_id"] = prev.action_id + 0.1
dribbles["time_seconds"] = (prev.time_seconds + nex.time_seconds) / 2
if "timestamp" in actions.columns:
dribbles["timestamp"] = nex.timestamp
dribbles["team_id"] = nex.team_id
dribbles["player_id"] = nex.player_id
dribbles["start_x"] = prev.end_x
dribbles["start_y"] = prev.end_y
dribbles["end_x"] = nex.start_x
dribbles["end_y"] = nex.start_y
dribbles["bodypart_id"] = spadlconfig.bodyparts.index("foot")
dribbles["type_id"] = spadlconfig.actiontypes.index("dribble")
dribbles["result_id"] = spadlconfig.results.index("success")
actions = pd.concat([actions, dribbles], ignore_index=True, sort=False)
actions = actions.sort_values(["game_id", "period_id", "action_id"]).reset_index(drop=True)
actions["action_id"] = range(len(actions))
return actions
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