File size: 10,931 Bytes
d6ea71e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 |
import os
from typing import NamedTuple
import pandas as pd
import pytest
from kloppy import opta, statsbomb, wyscout
from kloppy.domain import Orientation
from pandas.testing import assert_frame_equal
from socceraction.data.opta import OptaLoader
from socceraction.data.statsbomb import StatsBombLoader
from socceraction.data.wyscout import PublicWyscoutLoader, WyscoutLoader
from socceraction.spadl import config as spadl
from socceraction.spadl import kloppy as kl
from socceraction.spadl import opta as spadl_opta
from socceraction.spadl import statsbomb as sb
from socceraction.spadl import wyscout as spadl_wyscout
pd.set_option("display.max_columns", None)
pd.set_option("display.max_rows", None)
class Dataset(NamedTuple):
kloppy: pd.DataFrame
socceraction: pd.DataFrame
@pytest.fixture(scope="session")
def statsbomb_actions() -> Dataset:
data_dir = os.path.join(os.path.dirname(__file__), os.pardir, "datasets", "statsbomb", "raw")
kloppy_dataset = statsbomb.load(
event_data=os.path.join(data_dir, "events", "7584.json"),
lineup_data=os.path.join(data_dir, "lineups", "7584.json"),
)
df_actions_kl = kl.convert_to_actions(kloppy_dataset, game_id=7584)
SBL = StatsBombLoader(root=data_dir, getter="local")
df_actions_sa = sb.convert_to_actions(SBL.events(7584), 782)
return Dataset(df_actions_kl, df_actions_sa)
@pytest.mark.parametrize("actiontype", spadl.actiontypes)
def test_kloppy_to_actions_statsbomb(statsbomb_actions: Dataset, actiontype: str) -> None:
# columns to compare
cols = [
"game_id",
"original_event_id",
"period_id",
"time_seconds",
"team_id",
"player_id",
# 'start_x',
# 'start_y',
# 'end_x',
# 'end_y',
"type_id",
"result_id",
"bodypart_id",
# 'action_id',
]
# load statsbomb data using socceraction
sel_actions_sa = statsbomb_actions.socceraction.loc[
(statsbomb_actions.socceraction.type_id == spadl.actiontypes.index(actiontype)),
cols,
]
# load statsbomb data using kloppy
sel_actions_kl = statsbomb_actions.kloppy.loc[
(statsbomb_actions.kloppy.type_id == spadl.actiontypes.index(actiontype)),
cols,
].replace({"original_event_id": {"interception-": ""}}, regex=True)
# FIXME
sel_actions_sa["team_id"] = sel_actions_sa["team_id"].astype(str)
sel_actions_sa["player_id"] = sel_actions_sa["player_id"].astype("Int64").astype(str)
if actiontype in ["keeper_save", "keeper_punch"]:
sel_actions_sa["result_id"] = spadl.results.index("success")
#
print(
"These events should not be included",
set(sel_actions_kl.original_event_id) - set(sel_actions_sa.original_event_id),
)
print(
"These events are missing",
set(sel_actions_sa.original_event_id) - set(sel_actions_kl.original_event_id),
)
# compare the two datasets
assert_frame_equal(
sel_actions_kl.set_index("original_event_id"),
sel_actions_sa.set_index("original_event_id"),
)
@pytest.fixture(scope="session")
def opta_actions() -> Dataset:
data_dir = os.path.join(os.path.dirname(__file__), os.pardir, "datasets", "opta")
kloppy_dataset = opta.load(
f7_data=os.path.join(data_dir, "f7-23-2018-1009316-matchresults.xml"),
f24_data=os.path.join(data_dir, "f24-23-2018-1009316-eventdetails.xml"),
)
df_actions_kl = kl.convert_to_actions(kloppy_dataset, game_id=1009316)
loader = OptaLoader(
root=data_dir,
parser="xml",
feeds={
"f7": "f7-{competition_id}-{season_id}-{game_id}-matchresults.xml",
"f24": "f24-{competition_id}-{season_id}-{game_id}-eventdetails.xml",
},
)
df_actions_sa = spadl_opta.convert_to_actions(loader.events(1009316), 174)
return Dataset(df_actions_kl, df_actions_sa)
# def test_dummy_opta() -> None:
# data_dir = os.path.join(os.path.dirname(__file__), os.pardir, "datasets", "opta")
# kloppy_dataset = opta.load(
# f7_data=os.path.join(data_dir, "f7-23-2018-1009316-matchresults.xml"),
# f24_data=os.path.join(data_dir, "f24-23-2018-1009316-eventdetails.xml"),
# ).transform(
# to_orientation=Orientation.HOME_AWAY, # FIXME
# to_coordinate_system=kl._SoccerActionCoordinateSystem(),
# )
#
# EVENT_ID = "1189699160"
#
# event = kloppy_dataset.get_event_by_id(EVENT_ID)
# print("KLOPPY EVENT", event.qualifiers, "\n")
# loader = OptaLoader(
# root=data_dir,
# parser="xml",
# feeds={
# "f7": "f7-{competition_id}-{season_id}-{game_id}-matchresults.xml",
# "f24": "f24-{competition_id}-{season_id}-{game_id}-eventdetails.xml",
# },
# )
# df = loader.events(1009316)
# print("RAW EVENT", df.loc[df.event_id == int(EVENT_ID)], "\n")
#
# df_actions = spadl_opta.convert_to_actions(loader.events(1009316), 174)
# print("ACTION", df_actions.loc[df_actions.original_event_id == int(EVENT_ID)], "\n")
#
# assert False
@pytest.mark.skip(reason="not yet supported")
@pytest.mark.parametrize("actiontype", spadl.actiontypes)
def test_kloppy_to_actions_opta(opta_actions: Dataset, actiontype: str) -> None:
# columns to compare
cols = [
"game_id",
"original_event_id",
"period_id",
# 'time_seconds', # FIXME
"team_id",
"player_id",
# "start_x",
# "start_y",
# "end_x",
# "end_y",
"type_id",
"result_id",
"bodypart_id",
# 'action_id',
]
# load statsbomb data using socceraction
sel_actions_sa = opta_actions.socceraction.loc[
(opta_actions.socceraction.type_id == spadl.actiontypes.index(actiontype)),
cols,
]
# load statsbomb data using kloppy
sel_actions_kl = opta_actions.kloppy.loc[
(opta_actions.kloppy.type_id == spadl.actiontypes.index(actiontype)),
cols,
]
# FIXME
sel_actions_kl["team_id"] = sel_actions_kl["team_id"].astype(int)
sel_actions_kl["player_id"] = sel_actions_kl["player_id"].astype(float)
# sel_actions_kl["original_event_id"] = sel_actions_kl["original_event_id"].astype(float)
sel_actions_sa["original_event_id"] = sel_actions_sa["original_event_id"].astype(str)
#
print(
"These events should not be included",
set(sel_actions_kl.original_event_id) - set(sel_actions_sa.original_event_id),
)
print(
"These events are missing",
set(sel_actions_sa.original_event_id) - set(sel_actions_kl.original_event_id),
)
print("These events are different")
df = pd.concat(
[
sel_actions_kl.set_index("original_event_id"),
sel_actions_sa.set_index("original_event_id"),
]
) # concat dataframes
df = df.reset_index(drop=False) # reset the index
df_gpby = df.groupby(list(df.columns)) # group by
idx = [x[0] for x in df_gpby.groups.values() if len(x) == 1] # reindex
print(df.reindex(idx))
# compare the two datasets
assert_frame_equal(
sel_actions_kl.set_index("original_event_id"),
sel_actions_sa.set_index("original_event_id"),
)
@pytest.fixture(scope="session")
def wyscout_actions() -> Dataset:
data_dir = os.path.join(os.path.dirname(__file__), os.pardir, "datasets", "wyscout_api")
kloppy_dataset = wyscout.load(
event_data=os.path.join(data_dir, "events_2852835.json"),
)
df_actions_kl = kl.convert_to_actions(kloppy_dataset, game_id=2852835)
WSL = WyscoutLoader(
root=data_dir,
getter="local",
feeds={
"competitions": "competitions.json",
"seasons": "seasons_{competition_id}.json",
# "games": "matches_{season_id}.json",
"events": "events_{game_id}.json",
},
)
df_actions_sa = spadl_wyscout.convert_to_actions(WSL.events(2852835), 3166)
return Dataset(df_actions_kl, df_actions_sa)
@pytest.fixture(scope="session")
def public_wyscout_actions() -> tuple[pd.DataFrame, pd.DataFrame]:
data_dir = os.path.join(
os.path.dirname(__file__), os.pardir, "datasets", "wyscout_public", "raw"
)
kloppy_dataset = wyscout.load_open_data(match_id="2058007")
kloppy_dataset.metadata.orientation = Orientation.ACTION_EXECUTING_TEAM
df_actions_kl = kl.convert_to_actions(kloppy_dataset, game_id=2058007)
WSL = PublicWyscoutLoader(root=data_dir, download=False)
df_actions_sa = spadl_wyscout.convert_to_actions(WSL.events(2058007), 5629)
return Dataset(df_actions_kl, df_actions_sa)
# def test_dummy_wyscout() -> None:
# kloppy_dataset = wyscout.load_open_data(match_id="2058007").transform(
# to_orientation=Orientation.FIXED_HOME_AWAY, # FIXME
# to_coordinate_system=kl._SoccerActionCoordinateSystem(normalized=False),
# )
#
# event = kloppy_dataset.get_event_by_id("261445568")
# print(event)
# print(event.qualifiers)
# print(event.coordinates)
# # print(event.end_coordinates)
# print(event.raw_event)
#
# assert False
@pytest.mark.skip(reason="not yet supported")
@pytest.mark.parametrize("actiontype", spadl.actiontypes)
def test_kloppy_to_actions_wyscout(public_wyscout_actions: Dataset, actiontype: str) -> None:
# columns to compare
cols = [
"game_id",
"original_event_id",
"period_id",
"time_seconds",
"team_id",
"player_id",
"start_x",
"start_y",
"end_x",
"end_y",
"type_id",
"result_id",
"bodypart_id",
# 'action_id',
]
# load statsbomb data using socceraction
sel_actions_sa = public_wyscout_actions.socceraction.loc[
(public_wyscout_actions.socceraction.type_id == spadl.actiontypes.index(actiontype)),
cols,
]
# load statsbomb data using kloppy
sel_actions_kl = public_wyscout_actions.kloppy.loc[
(public_wyscout_actions.kloppy.type_id == spadl.actiontypes.index(actiontype)),
cols,
].replace({"original_event_id": {"interception-": ""}}, regex=True)
# FIXME
sel_actions_kl["team_id"] = sel_actions_kl["team_id"].astype(int)
sel_actions_kl["player_id"] = sel_actions_kl["player_id"].astype(int)
sel_actions_sa["original_event_id"] = sel_actions_sa["original_event_id"].astype(str)
#
print(
"These events should not be included",
set(sel_actions_kl.original_event_id) - set(sel_actions_sa.original_event_id),
)
print(
"These events are missing",
set(sel_actions_sa.original_event_id) - set(sel_actions_kl.original_event_id),
)
# compare the two datasets
assert_frame_equal(
sel_actions_kl.set_index("original_event_id"),
sel_actions_sa.set_index("original_event_id"),
)
|