def _update_players_teams():
global players_data
players = {}
sample = db['match_headers'].find().sort([('date', pymongo.ASCENDING)])
for match_header in tqdm.tqdm(sample, total=sample.count()):
home = match_header['home']
home_id = get_value(teams_data, 'whoscoredName', home, 'whoscoredId')
away = match_header['away']
away_id = get_value(teams_data, 'whoscoredName', away, 'whoscoredId')
additional_info = db['additional_info'].find_one(
{'match_uuid': match_header['uuid']})
if 'homePlayers' in additional_info:
for player_data in additional_info['homePlayers']:
player_id = player_data['playerId']
players[player_id] = (home_id, home)
if 'awayPlayers' in additional_info:
for player_data in additional_info['awayPlayers']:
player_id = player_data['playerId']
players[player_id] = (away_id, away)
for player_id in players:
players_data.loc[player_id, 'whoscoredId'] = players[player_id][0]
players_data.loc[player_id, 'whoscoredName'] = players[player_id][1]
save_players_data()
def get_match_uuid_by_intelbet_match(intelbet_match):
date_ = dateize(intelbet_match['date'])
home = get_value(teams_data, 'intelbetName', intelbet_match['home'],
'whoscoredName')
away = get_value(teams_data, 'intelbetName', intelbet_match['away'],
'whoscoredName')
if home is None or away is None:
return None
return get_match_header_by_date_and_teams(date_, home, away)
def _print_unmatched_player_names(match_header, is_home):
content = ''
if is_home:
intelbet_player_names = intelbet_player_names_df.loc[ intelbet_player_names_df['whoscoredName'] == match_header['home'], 'intelbetPlayerName' ].tolist()
unmatched_whoscored_names = players_data.loc[ (players_data['whoscoredName'] == match_header['home']) & (players_data['intelbetPlayerName'].isnull()), 'whoscoredPlayerName' ].tolist()
team_players_data = players_data[ players_data['whoscoredName'] == match_header['home'] ]
else:
intelbet_player_names = intelbet_player_names_df.loc[ intelbet_player_names_df['whoscoredName'] == match_header['away'], 'intelbetPlayerName' ].tolist()
unmatched_whoscored_names = players_data.loc[ (players_data['whoscoredName'] == match_header['away']) & (players_data['intelbetPlayerName'].isnull()), 'whoscoredPlayerName' ].tolist()
team_players_data = players_data[ players_data['whoscoredName'] == match_header['away'] ]
if len(intelbet_player_names) > 0:
content += '<form action="/match_player_names" method="post">'
for intelbet_player_name in sorted(intelbet_player_names):
whoscored_player_name = get_value(team_players_data, 'intelbetPlayerName', intelbet_player_name, 'whoscoredPlayerName')
if whoscored_player_name is not None and whoscored_player_name != '':
continue
content += intelbet_player_name
content += ' '
content += '<select name="player_%s">' % (intelbet_player_name,)
content += '<option value="" selected="selected"></option>'
for unmatched_whoscored_name in unmatched_whoscored_names:
escaped_unmatched_whoscored_name = re.sub('"', '\\"', unmatched_whoscored_name)
content += '<option value="%s">%s</option>' % (escaped_unmatched_whoscored_name, unmatched_whoscored_name)
content += '</select>'
content += '<br>'
content += '<input type="submit" value="Задать соответствия">'
content += '</form>'
return content
def _get_additional_info_of_intelbet_match(intelbet_match):
additional_info = {}
if 'homePlayerNames' in intelbet_match:
additional_info['homePlayers'] = []
home = get_value(teams_data, 'intelbetName', intelbet_match['home'], 'whoscoredName')
home_players_data = players_data[ players_data['whoscoredName'] == home ]
for intelbet_player_name in intelbet_match['homePlayerNames']:
player_name = get_value(home_players_data, 'intelbetPlayerName', intelbet_player_name, 'whoscoredPlayerName')
if player_name is None:
print('Unknown player: %s' % (intelbet_player_name,))
intelbet_player_names_add(intelbet_player_name, home)
continue
player_id = get_value(home_players_data, 'intelbetPlayerName', intelbet_player_name, 'whoscoredPlayerId')
# FIXME: Из-за переименования команд, некоторые игроки имеют имя команды, но ее идентификатор определить не удается.
# Тогда в колонке 'whoscoredPlayerId' появляется '' (после парсинга - `None`), а ее тип становится `np.float64`. Это - костыль от этого
player_id = int(player_id) if player_id is not None else None
additional_info['homePlayers'].append({
'playerId': player_id,
'playerName': player_name,
'isFirstEleven': True
})
if 'awayPlayerNames' in intelbet_match:
additional_info['awayPlayers'] = []
away = get_value(teams_data, 'intelbetName', intelbet_match['away'], 'whoscoredName')
away_players_data = players_data[ players_data['whoscoredName'] == away ]
for intelbet_player_name in intelbet_match['awayPlayerNames']:
player_name = get_value(away_players_data, 'intelbetPlayerName', intelbet_player_name, 'whoscoredPlayerName')
if player_name is None:
print('Unknown player: %s' % (intelbet_player_name,))
intelbet_player_names_add(intelbet_player_name, away)
continue
# FIXME: Из-за переименования команд, некоторые игроки имеют имя команды, но ее идентификатор определить не удается.
# Тогда в колонке 'whoscoredPlayerId' появляется '' (после парсинга - `None`), а ее тип становится `np.float64`. Это - костыль от этого
player_id = int(player_id) if player_id is not None else None
additional_info['awayPlayers'].append({
'playerId': player_id,
'playerName': player_name,
'isFirstEleven': True
})
return additional_info
def _create_player_if_neccessary(whoscored_player_id, whoscored_player_name, team):
if whoscored_player_id not in players_data['whoscoredPlayerId'].values:
print('Creating player %u (%s)...' % (whoscored_player_id, whoscored_player_name))
players_data.loc[whoscored_player_id] = pd.Series({
'whoscoredPlayerId': whoscored_player_id,
'whoscoredPlayerName': whoscored_player_name,
'intelbetPlayerName': None,
'whoscoredName': team,
'whoscoredId': get_value(teams_data, 'whoscoredName', team, 'whoscoredId')
})
save_players_data()
def _fit(self, match_header, **kwargs):
statistic = self.previous_fitter.statistic.copy()
if statistic.shape[0] == 0:
self.statistic = statistic
return
self.tournament_id = match_header['tournamentId']
transformed_statistic = statistic[statistic['tournament_id'] ==
self.tournament_id]
self.statistic = transformed_statistic.copy()
get_logger('prediction').info(
'Отобраны заголовки матчей, произошедших в рамках турнира %s (%u): %u штук',
get_value(tournaments_data, 'whoscoredTournamentId',
self.tournament_id, 'whoscoredTournamentName'),
self.tournament_id, self.statistic.shape[0])
def index():
match_headers_collection = db['match_headers']
match_headers = get_match_headers()
today = datetime.date.today()
first_date = today - datetime.timedelta(days=90)
last_date = today
date_range = pd.date_range(first_date, last_date, freq='D')
content = ''
content += '<h2>Матчи</h2>'
for date_ in date_range:
date_str = date_.strftime('%Y-%m-%d')
content += '<h3>' + date_str + '</h3>'
whoscored_tournament_ids = set(tournaments_data['whoscoredTournamentId'].values)
for whoscored_tournament_id in whoscored_tournament_ids:
this_date_tournament_match_headers = match_headers[ (match_headers['date'] == date_) & (match_headers['tournament_id'] == whoscored_tournament_id) ]
if this_date_tournament_match_headers.shape[0] == 0:
continue
betcity_tournament_name = get_value(tournaments_data, 'whoscoredTournamentId', whoscored_tournament_id, 'betcityTournamentName')
content += '<h4>' + betcity_tournament_name + '</h4>'
content += '<table>'
content += '<tbody>'
for (match_uuid, match_header) in this_date_tournament_match_headers.iterrows():
match_href = '/matches/%s' % (match_uuid,)
content += '<tr>'
content += '<td>' + date_str + '</td>'
content += '<td><a href="' + match_href + '">' + match_uuid + '</a></td>'
content += '<td><a href="' + match_href + '">' + match_header['home'] + '</a></td>'
content += '<td><a href="' + match_href + '">' + match_header['away'] + '</a></td>'
content += '</tr>'
content += '</tbody>'
content += '</table>'
return { 'content': content }
