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import os
import pandas as pd
from socceraction.data.wyscout import PublicWyscoutLoader
from socceraction.spadl import SPADLSchema
from socceraction.spadl import config as spadl
from socceraction.spadl import wyscout as wy
class TestSpadlConvertor:
def setup_method(self) -> None:
data_dir = os.path.join(
os.path.dirname(__file__), os.pardir, "datasets", "wyscout_public", "raw"
)
self.WSL = PublicWyscoutLoader(root=data_dir, download=False)
self.events = self.WSL.events(2058007)
def test_convert_to_actions(self) -> None:
df_actions = wy.convert_to_actions(self.events, 5629)
assert len(df_actions) > 0
SPADLSchema.validate(df_actions)
assert (df_actions.game_id == 2058007).all()
assert ((df_actions.team_id == 5629) | (df_actions.team_id == 12913)).all()
def test_insert_interception_passes(self) -> None:
event = pd.DataFrame(
[
{
"type_id": 8,
"subtype_name": "Head pass",
"tags": [{"id": 102}, {"id": 1401}, {"id": 1801}], # own goal
"player_id": 38093,
"positions": [{"y": 56, "x": 5}, {"y": 100, "x": 100}],
"game_id": 2499737,
"type_name": "Pass",
"team_id": 1610,
"period_id": 2,
"milliseconds": 2184.793924,
"subtype_id": 82,
"event_id": 180427412,
}
]
)
actions = wy.convert_to_actions(event, 1610)
assert len(actions) == 2
assert actions.at[0, "type_id"] == spadl.actiontypes.index("interception")
assert actions.at[1, "type_id"] == spadl.actiontypes.index("bad_touch")
assert actions.at[0, "result_id"] == spadl.results.index("success")
assert actions.at[1, "result_id"] == spadl.results.index("owngoal")
def test_convert_own_goal(self) -> None:
events_morira = self.WSL.events(2057961)
own_goal_event = events_morira[events_morira.event_id == 258696133]
own_goal_actions = wy.convert_to_actions(own_goal_event, 16216)
assert len(own_goal_actions) == 2 # interception + clearance
assert own_goal_actions.iloc[0]["type_id"] == spadl.actiontypes.index("interception")
assert own_goal_actions.iloc[0]["result_id"] == spadl.results.index("success")
assert own_goal_actions.iloc[1]["type_id"] == spadl.actiontypes.index("bad_touch")
assert own_goal_actions.iloc[1]["result_id"] == spadl.results.index("owngoal")
assert own_goal_actions.iloc[1]["bodypart_id"] == spadl.bodyparts.index("foot")
def test_convert_own_goal_touches(self) -> None:
"""Tests conversion of own goals following a bad touch.
Own goals resulting from bad touch events in the Wyscout event
streams should be included in the SPADL representation.
"""
# An own goal from the game between Leicester and Stoke on 24 Feb 2018.
# Stoke's goalkeeper Jack Butland allows a low cross to bounce off his
# gloves and into the net:
event = pd.DataFrame(
[
{
"type_id": 8,
"subtype_name": "Cross",
"tags": [{"id": 402}, {"id": 801}, {"id": 1802}],
"player_id": 8013,
"positions": [{"y": 89, "x": 97}, {"y": 0, "x": 0}],
"game_id": 2499994,
"type_name": "Pass",
"team_id": 1631,
"period_id": 2,
"milliseconds": 1496.7290489999993,
"subtype_id": 80,
"event_id": 230320305,
},
{
"type_id": 7,
"subtype_name": "Touch",
"tags": [{"id": 102}],
"player_id": 8094,
"positions": [{"y": 50, "x": 1}, {"y": 100, "x": 100}],
"game_id": 2499994,
"type_name": "Others on the ball",
"team_id": 1639,
"period_id": 2,
"milliseconds": 1497.6330749999993,
"subtype_id": 72,
"event_id": 230320132,
},
{
"type_id": 9,
"subtype_name": "Reflexes",
"tags": [{"id": 101}, {"id": 1802}],
"player_id": 8094,
"positions": [{"y": 100, "x": 100}, {"y": 50, "x": 1}],
"game_id": 2499994,
"type_name": "Save attempt",
"team_id": 1639,
"period_id": 2,
"milliseconds": 1499.980547,
"subtype_id": 90,
"event_id": 230320135,
},
]
)
actions = wy.convert_to_actions(event, 1639)
# FIXME: It adds a dribble between the bad touch of the goalkeeper and
# his attempt to save the ball before crossing the line. Not sure
# whether that is ideal.
assert len(actions) == 4
assert actions.at[1, "type_id"] == spadl.actiontypes.index("bad_touch")
assert actions.at[1, "result_id"] == spadl.results.index("owngoal")
def test_convert_simulations_precede_by_take_on(self) -> None:
events = pd.DataFrame(
[
{
"type_id": 1,
"subtype_name": "Ground attacking duel",
"tags": [{"id": 503}, {"id": 701}, {"id": 1802}],
"player_id": 8327,
"positions": [{"y": 48, "x": 82}, {"y": 47, "x": 83}],
"game_id": 2576263,
"type_name": "Duel",
"team_id": 3158,
"period_id": 2,
"milliseconds": 706.309475 * 1000,
"subtype_id": 11,
"event_id": 240828365,
},
{
"type_id": 2,
"subtype_name": "Simulation",
"tags": [{"id": 1702}],
"player_id": 8327,
"positions": [{"y": 47, "x": 83}, {"y": 0, "x": 0}],
"game_id": 2576263,
"type_name": "Foul",
"team_id": 3158,
"period_id": 2,
"milliseconds": 709.1020480000002 * 1000,
"subtype_id": 25,
"event_id": 240828368,
},
]
)
actions = wy.convert_to_actions(events, 3158)
assert len(actions) == 1
assert actions.at[0, "type_id"] == spadl.actiontypes.index("take_on")
assert actions.at[0, "result_id"] == spadl.results.index("fail")
def test_convert_simulations(self) -> None:
events = pd.DataFrame(
[
{
"type_id": 8,
"subtype_name": "Cross",
"tags": [{"id": 402}, {"id": 801}, {"id": 1801}],
"player_id": 20472,
"positions": [{"y": 76, "x": 92}, {"y": 92, "x": 98}],
"game_id": 2575974,
"type_name": "Pass",
"team_id": 3173,
"period_id": 1,
"milliseconds": 1010.5460250000001 * 1000,
"subtype_id": 80,
"event_id": 182640540,
},
{
"type_id": 1,
"subtype_name": "Ground loose ball duel",
"tags": [{"id": 701}, {"id": 1802}],
"player_id": 116171,
"positions": [{"y": 92, "x": 98}, {"y": 43, "x": 87}],
"game_id": 2575974,
"type_name": "Duel",
"team_id": 3173,
"period_id": 1,
"milliseconds": 1012.8018770000001 * 1000,
"subtype_id": 13,
"event_id": 182640541,
},
{
"type_id": 2,
"subtype_name": "Simulation",
"tags": [{"id": 1702}],
"player_id": 116171,
"positions": [{"y": 43, "x": 87}, {"y": 100, "x": 100}],
"game_id": 2575974,
"type_name": "Foul",
"team_id": 3173,
"period_id": 1,
"milliseconds": 1014.7540220000001 * 1000,
"subtype_id": 25,
"event_id": 182640542,
},
]
)
actions = wy.convert_to_actions(events, 3157)
assert len(actions) == 3
assert actions.at[2, "type_id"] == spadl.actiontypes.index("take_on")
assert actions.at[2, "result_id"] == spadl.results.index("fail")
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