def __init__(self,
db=None,
cache_name='nbacom-agent',
cookies=None,
table_names=None):
'''
Args:
db (NBAPostgres): instance
cache_name (str): for scraper cache_name
cookies: cookie jar
table_names (dict): Database table names
'''
logging.getLogger(__name__).addHandler(logging.NullHandler())
self.scraper = NBAComScraper(cache_name=cache_name, cookies=cookies)
self.parser = NBAComParser()
self.db = db
if table_names:
self.table_names = table_names
else:
self.table_names = {
'pgl': 'player_gamelogs',
'tgl': 'team_gamelogs',
'seas': 'season',
'pl': 'player',
'ps': 'playerstats_daily',
'ts': 'teamstats_daily',
'tod': 'team_opponent_dashboard',
'pbs': 'player_boxscores_combined',
'tbs': 'team_boxscores_combined',
'box2': 'game_boxscores',
'tm': 'team'
}
def __init__(self, db=None):
logging.getLogger(__name__).addHandler(logging.NullHandler())
self._dk_players = []
self.scraper = NBAComScraper()
self.parser = NBAComParser()
if db:
self.nbadb = db
def __init__(self, db=None, cache_name=None, cookies=None):
'''
Arguments:
cache_name: str for scraper cache_name
cookies: cookie jar
db: NBAComPg instance
'''
self.scraper = NBAComScraper(cache_name=cache_name, cookies=cookies)
self.parser = NBAComParser()
if db:
self.db = db
self.insert_db = True
else:
self.insert_db = False
def __init__(self, db=None, cache_name=None, cookies=None):
'''
Arguments:
cache_name: str for scraper cache_name
cookies: cookie jar
db: NBAComPg instance
'''
logging.getLogger(__name__).addHandler(logging.NullHandler())
self.scraper = NBAComScraper(cache_name=cache_name, cookies=cookies)
self.parser = NBAComParser()
if db:
self.db = db
self.insert_db = True
else:
self.insert_db = False
def __init__(self, db=False):
self.logger = logging.getLogger(__name__)
self._dk_players = []
self.scraper = NBAComScraper()
self.parser = NBAComParser()
if db:
self.nbadb = NBAPostgres()
def __init__(self, db=True, safe=True):
'''
Args:
db (bool): compose NBAComPg object as self.nbadb
safe (bool): create backups of tables prior to inserts
'''
NBAAgent.__init__(self)
self.logger = logging.getLogger(__name__)
self.scraper = NBAComScraper()
self.parser = NBAComParser()
self.safe = safe
self.nbas = NBASeasons()
if db:
self.nbadb = NBAComPg()
else:
self.nbadb = None
class NBAComAgent(NBAAgent):
'''
Performs script-like tasks using NBA.com API
Intended to replace standalone scripts so can use common API and tools
Examples:
a = NBAComAgent()
gamelogs = a.cs_player_gamelogs('2015-16')
'''
def __init__(self, db=True, safe=True):
'''
Args:
db (bool): compose NBAComPg object as self.nbadb
safe (bool): create backups of tables prior to inserts
'''
NBAAgent.__init__(self)
self.logger = logging.getLogger(__name__)
self.scraper = NBAComScraper()
self.parser = NBAComParser()
self.safe = safe
self.nbas = NBASeasons()
if db:
self.nbadb = NBAComPg()
else:
self.nbadb = None
def combine_boxscores(self, boxes, advanced_boxes):
'''
Combines NBAComScraper.boxscores() and boxscores_advanced()
Arguments:
boxscores(list): list of 'base' boxscores
boxscores(list): list of 'advanced' boxscores
Returns:
merged_players (list): base and advanced combined
merged_teams (list): base and advanced combined
Examples:
a = NBAComAgent()
combined = a.combine_boxscores(boxes, advanced_boxes)
'''
merged_players = []
merged_teams = []
for gid, box in boxes.iteritems():
# players and teams are lists of dicts
players, teams, starterbench = self.parser.boxscore(box)
# players_adv and teams_adv are lists of dicts
adv_box = advanced_boxes.get(gid)
players_adv, teams_adv = self.parser.boxscore_advanced(adv_box)
# need to transform into dicts
players_dict = {p['PLAYER_ID']: p for p in players}
players_adv_dict = {p['PLAYER_ID']: p for p in players_adv}
teams_dict = {t['TEAM_ID']: t for t in teams}
teams_adv_dict = {t['TEAM_ID']: t for t in teams_adv}
# now loop through players
for pid, player in players_dict.iteritems():
player_adv = players_adv_dict.get(pid)
if player_adv:
merged_players.append(self.merge_boxes(player, player_adv))
# now loop through teams
for tid, team in teams_dict.iteritems():
team_adv = teams_adv_dict.get(tid)
if team_adv:
merged_teams.append(self.merge_boxes(team, team_adv))
self.nbadb.insert_boxscores(merged_players, merged_teams)
def commonallplayers(self, season):
'''
Solves problem of players changing teams
nba.com updates player teams regularly, so i look every day to make sure lists accurate
Arguments:
season (str): in YYYY-YY format
Returns:
to_insert (list): list of players that needed to be updated
Examples:
a = NBAComAgent()
combined = a.commonallplayers('2015-16')
'''
game_date = dt.datetime.today()
players = self.parser.players(self.scraper.players(season=season, cs_only='1'))
to_insert = []
convert = {
"PERSON_ID": 'nbacom_player_id',
"DISPLAY_LAST_COMMA_FIRST": '',
"DISPLAY_FIRST_LAST": 'display_first_last',
"ROSTERSTATUS": 'rosterstatus',
"FROM_YEAR": '',
"TO_YEAR": '',
"PLAYERCODE": '',
"TEAM_ID": 'team_id',
"TEAM_CITY": '',
"TEAM_NAME": '',
"TEAM_ABBREVIATION": 'team_code',
"TEAM_CODE": '',
"GAMES_PLAYED_FLAG": ''
}
for p in players:
pti = {'game_date': game_date, 'nbacom_season_id': 22015, 'season': 2016}
for k,v in p.iteritems():
converted = convert.get(k)
if converted:
pti[converted] = v
to_insert.append(pti)
if self.nbadb:
if to_insert:
self.nbadb.insert_dicts(to_insert, 'stats.playerteams')
return to_insert
def cs_player_gamelogs(self, season, date_from=None, date_to=None):
'''
Fetches player_gamelogs and updates cs_player_gamelogs table
Arguments:
season (str): in YYYY-YY format (2015-16)
Returns:
players (list): player dictionary of stats + dfs points
'''
gamelogs = self.parser.season_gamelogs(self.scraper.season_gamelogs(season, 'P'), 'P')
table_name = 'stats.cs_player_gamelogs'
if self.nbadb:
if self.safe:
self.nbadb.postgres_backup_table(self.nbadb.database, table_name)
gamelogs = self.nbadb.insert_player_gamelogs(gamelogs, table_name)
self.nbadb.update_positions(table_name)
self.nbadb.update_teamids(table_name)
return gamelogs
def cs_playerstats(self, season, date_from=None, date_to=None):
'''
Fetches cs_player_stats and updates database table
Arguments:
season (str): in YYYY-YY format (2015-16)
date_from (str): in %Y-%m-%d format, default beginning of season
date_from (str): in %Y-%m-%d format, default yesterday
Returns:
player_stats (list): player dictionary of basic and advanced stats
Examples:
a = NBAComAgent()
ps = a.cs_playerstats('2015-16')
ps = a.cs_playerstats(season='2015-16', date_from='2016-03-01', date_to='2016-03-08')
'''
# default is to get entire season through yesterday
yesterday = dt.datetime.strftime(dt.datetime.today() - dt.timedelta(1), '%Y-%m-%d')
if not date_from:
date_from = self.nbas.season_start(season)
if not date_to:
date_to = yesterday
ps_base = self.parser.playerstats(self.scraper.playerstats(season, DateFrom=date_from, DateTo=date_to))
ps_advanced = self.parser.playerstats(self.scraper.playerstats(season, DateFrom=date_from, DateTo=date_to, MeasureType='Advanced'))
# now need to merge base and advanced
ps_base = {p['PLAYER_ID']: p for p in ps_base}
for ps_adv in ps_advanced:
pid = ps_adv['PLAYER_ID']
base = ps_base.get(pid)
if base:
base.update(ps_adv)
ps_base[pid] = base
return self.nbadb.insert_playerstats(ps_base.values(), table_name='stats.cs_playerstats', game_date=yesterday)
def cs_team_gamelogs(self, season, date_from=None, date_to=None):
'''
Fetches team_gamelogs and updates cs_team_gamelogs table
Arguments:
season (str): in YYYY-YY format (2015-16)
Returns:
team_gl (list): player dictionary of stats
Examples:
a = NBAComAgent()
tgl = a.cs_team_gamelogs('2015-16')
tgl = a.cs_playerstats(season='2015-16', date_from='2016-03-01', date_to='2016-03-08')
'''
gamelogs = self.parser.season_gamelogs(self.scraper.season_gamelogs(season='2015-16', player_or_team='T'), 'T')
self.logger.debug('there are {0} team gamelogs'.format(len(gamelogs)))
if self.nbadb:
table_name = 'stats.cs_team_gamelogs'
if self.safe:
self.nbadb.postgres_backup_table(self.nbadb.database, table_name)
gamelogs = self.nbadb.insert_team_gamelogs(gamelogs, table_name)
self.logger.debug('there are now {0} team gamelogs'.format(len(gamelogs)))
return gamelogs
def cs_teamstats(self, season, date_from=None, date_to=None):
'''
Fetches leaguedashteamstats and updates cs_leaguedashteamstats table
Arguments:
season (str): in YYYY-YY format (2015-16)
date_from (str): in %Y-%m-%d format, default beginning of season
date_from (str): in %Y-%m-%d format, default yesterday
Returns:
teamstats (list): team dictionary of basic and advanced stats
Examples:
a = NBAComAgent()
ps = a.cs_teamstats('2015-16')
ps = a.cs_teamstats(season='2015-16', date_from='2016-03-01', date_to='2016-03-08')
'''
# default is to get entire season through yesterday
yesterday = dt.datetime.strftime(dt.datetime.today() - dt.timedelta(1), '%Y-%m-%d')
if not date_from:
date_from = self.nbas.season_start(season)
if not date_to:
date_to = yesterday
ts_base = self.parser.teamstats(self.scraper.teamstats(season, DateFrom=date_from, DateTo=date_to))
ts_adv = self.parser.teamstats(self.scraper.teamstats(season, DateFrom=date_from, DateTo=date_to, MeasureType='Advanced'))
# now need to merge base and advanced
ts_base = {t['TEAM_ID']: t for t in ts_base}
for ts_adv in ts_adv:
tid = ts_adv['TEAM_ID']
base = ts_base.get(tid)
if base:
base.update(ts_adv)
ts_base[tid] = base
self.nbadb.insert_teamstats(ts_base.values(), table_name='stats.cs_teamstats', game_date=yesterday)
return ts_base, ts_adv
def merge_boxes(self, b1, b2):
'''
Combines base and advanced player or team boxscores from same game
Arguments:
base_box(dict): base boxscore
adv_box(dict): advanced boxscore
Returns:
merged (dict) or None
Examples:
a = NBAComAgent()
merged = a.merge_boxes(base_box, adv_box)
'''
z = b1
z.update(b2)
return z
def players_to_add(self):
'''
Compare current_season_gamelogs and players tables to see if missing players in latter
Arguments:
None
Returns:
list
'''
sql = '''SELECT * FROM vw_add_players_table'''
return self.nbadb.select_dict(sql)
def scoreboards(self, season_start, season_end, pkl_fname=None):
'''
Downloads and parses range of scoreboards, optionally saves to pickle file
Arguments:
season_start (str): in %Y-%m-%d format
season_end (str): in %Y-%m-%d format
pkl_fname (optional [str]): example - 'scoreboards_2015-16.pkl'
Returns:
scoreboards (list): scoreboard dicts
Examples:
a = NBAComAgent()
sb = a.scoreboards()
sb = a.scoreboards(pkl_fname = 'scoreboards_2015-16.pkl')
sb = a.scoreboards(season_start='2015-10-27', season_end='2016-04-15')
'''
scoreboards = []
for day in reversed(self.date_list(season_end, season_start)):
game_date = dt.datetime.strftime(day, '%Y-%m-%d')
scoreboard_json = self.nbas.scoreboard(game_date=game_date)
scoreboard = self.nbap.scoreboard(scoreboard_json, game_date=game_date)
scoreboards.append(scoreboard)
if pkl_fname:
try:
with open('/home/sansbacon/scoreboards_20160108.pkl', 'wb') as outfile:
pickle.dump(scoreboards, outfile)
except:
logging.error('could not save scoreboards to {0}'.format(pkl_fname))
return scoreboards
def teamgames(self, games):
'''
Converts list of games into list in teamgames format, where there are2 teamgames for every game
Arguments:
games(list): list of games from nba.com where two teams are in 1 row (visitor, home)
Returns:
teamgames(list): list of games in teamgames format, 2 teamgames per game row
Examples:
# is in format {'game_id', 'visitor_team_id', 'home_team_id', . . . }
games = NBAPostgres.select_dict('SELECT * FROM games')
# is in format {'game_id', 'team_id', 'opponent_team_id', 'is_home' . . . }
teamgames = NBAComAgent.teamgames(games)
'''
teamgames = []
to_drop = ['home_team_code', 'home_team_id', 'visitor_team_code', 'visitor_team_id']
for game in games:
tg1 = copy.deepcopy(game)
tg1['team_code'] = game['home_team_code']
tg1['team_id'] = game['home_team_id']
tg1['opponent_team_code'] = game['visitor_team_code']
tg1['opponent_team_id'] = game['visitor_team_id']
tg1['is_home'] = True
teamgames.append({k:v for k,v in tg1.iteritems() if not k in to_drop})
tg2 = copy.deepcopy(game)
tg2['team_code'] = game['visitor_team_code']
tg2['team_id'] = game['visitor_team_id']
tg2['opponent_team_code'] = game['home_team_code']
tg2['opponent_team_id'] = game['home_team_id']
tg2['is_home'] = False
teamgames.append({k:v for k,v in tg2.iteritems() if not k in to_drop})
return teamgames
def team_opponents(self, season, season_start=None, season_end=None, pkl_fname=None):
'''
Downloads and parses range of team_opponents, optionally saves to pickle file
Arguments:
season (str): in YYYY-YY format
season_start (str): in %Y-%m-%d format, default is actual start of season
season_end (str): in %Y-%m-%d format, default is actual end of season
pkl_fname (optional [str]): example - 'scoreboards_2015-16.pkl'
Returns:
topp (list): dicts
Examples:
a = NBAComAgent()
topp = a.team_opponents('2014-15')
'''
topp = []
# figure out season_start, season end
if season_start is None:
days = self.nbas.season_dates('2014-15')
season_start = dt.datetime.strftime(days[-1], '%Y-%m-%d')
else:
days = date_list(season_end, season_start)
for day in reversed(days):
content = self.scraper.team_opponent_dashboard(season, DateFrom=season_start, DateTo=day)
teamstats_opp = self.parser.team_opponent_dashboard(content)
for team in teamstats_opp:
fixed_team = {k.lower():v for k,v in team.iteritems()}
fixed_team['game_date'] = dt.datetime.strftime(day, '%Y-%m-%d')
topp.append(fixed_team)
if pkl_fname:
try:
with open(pkl_fname, 'wb') as outfile:
pickle.dump(topp, outfile)
except:
self.logger.error('could not save scoreboards to {0}'.format(pkl_fname))
return topp
class NBAComAgent(object):
'''
Performs script-like tasks using NBA.com API
'''
def __init__(self, db=None, cache_name=None, cookies=None):
'''
Arguments:
cache_name: str for scraper cache_name
cookies: cookie jar
db: NBAComPg instance
'''
logging.getLogger(__name__).addHandler(logging.NullHandler())
self.scraper = NBAComScraper(cache_name=cache_name, cookies=cookies)
self.parser = NBAComParser()
if db:
self.db = db
self.insert_db = True
else:
self.insert_db = False
def _combined_player_boxscores(self, gid):
'''
Combines 5 types of boxscores from nba.com API into list of boxscores
Arguments:
gid: string game ID, with leading '00'
Returns:
list of player boxscores combined - traditional, advanced, misc, scoring, usage
Examples:
a = NBAComAgent()
playerboxes = a.combined_player_boxscores('0020161001')
'''
traditional_players, traditional_teams, traditional_starter_bench = self.parser.boxscore_traditional(
self.scraper.boxscore_traditional(gid))
adv_players, adv_team = self.parser.boxscore_advanced(
self.scraper.boxscore_advanced(gid))
misc_players, misc_team = self.parser.boxscore_misc(
self.scraper.boxscore_misc(gid))
scoring_players, scoring_team = self.parser.boxscore_scoring(
self.scraper.boxscore_scoring(gid))
usage_players = self.parser.boxscore_usage(
self.scraper.boxscore_usage(gid))
# now need to combine player and team boxscores
players = merge(
dict(),
[{t['PLAYER_ID']: t
for t in traditional_players},
{t['PLAYER_ID']: t
for t in adv_players}, {t['PLAYER_ID']: t
for t in misc_players},
{t['PLAYER_ID']: t
for t in scoring_players},
{t['PLAYER_ID']: t
for t in usage_players}])
return players.values()
def combined_team_boxscores(self, gid):
'''
Combines 5 types of boxscores from nba.com API into list of boxscores
Arguments:
gid: string game ID, with leading '00'
Returns:
list of team boxscores - combined traditional, advanced, misc, scoring
Examples:
a = NBAComAgent()
teamboxes = a.combined_team_boxscores('0020161001')
'''
traditional_players, traditional_teams, traditional_starter_bench = self.parser.boxscore_traditional(
self.scraper.boxscore_traditional(gid))
adv_players, adv_teams = self.parser.boxscore_advanced(
self.scraper.boxscore_advanced(gid))
misc_players, misc_teams = self.parser.boxscore_misc(
self.scraper.boxscore_misc(gid))
scoring_players, scoring_teams = self.parser.boxscore_scoring(
self.scraper.boxscore_scoring(gid))
# now need to combine player and team boxscores
teams = merge(
dict(),
[{t['TEAM_ID']: t
for t in traditional_teams},
{t['TEAM_ID']: t
for t in adv_teams}, {t['TEAM_ID']: t
for t in misc_teams},
{t['TEAM_ID']: t
for t in scoring_teams}])
return list(teams.values())
def linescores(self):
'''
Updates gamesmeta table with game_information
'''
#q = """SELECT '00' || game_id, to_char(game_date, 'YYYYmmdd') FROM gamesmeta
# WHERE season = (select max(season) from seasons) AND game_date < now()::date AND q1 IS NULL
# ORDER BY game_date DESC;"""
#q = """SELECT '00' || game_id as gid, to_char(game_date, 'YYYYmmdd') as gd FROM cs_games
# WHERE game_date < (CURRENT_TIMESTAMP AT TIME ZONE 'CST')::date AND
# game_id NOT IN (SELECT DISTINCT game_id FROM boxv2015)
# ORDER BY game_date DESC;"""
q = """SELECT '00' || game_id as gid, to_char(game_date, 'YYYYmmdd') as gd FROM games
WHERE game_date < localdate() AND
season > 2015 AND game_id NOT IN (SELECT DISTINCT game_id FROM boxv2015)
ORDER BY game_date DESC;"""
for g in self.db.select_dict(q):
try:
content = self.scraper.boxscore_v2015(g['gid'], g['gd'])
v, h = self.parser.boxscore_v2015(content)
self.db.insert_dicts([v, h], 'boxv2015')
logging.info('finished {} - {}'.format(g['gd'], g['gid']))
except Exception as e:
logging.error('could not get {}'.format(g))
logging.exception(e)
def new_players(self, season):
'''
Updates players table with missing players
Arguments:
season (str): in YYYY-YY format
Returns:
list of players to add to stats.players
Examples:
a = NBAComAgent(cache_name='newplayers', cookies=httplib.CookieJar(), db=NBAComPg(...))
np = a.new_players(season='2015-16')
'''
content = self.scraper.players_v2015(season)
players = self.parser.players_v2015(content)
currids = set([int(p.get('personId', 0)) for p in players])
logging.debug(currids)
allids = set(
self.db.select_list('SELECT nbacom_player_id from players'))
missing = currids - allids
if missing:
np = [p for p in players if int(p['personId']) in missing]
if self.insert_db:
self.db.insert_players_v2015(np)
return np
else:
return None
def player_boxscores_combined(self):
'''
Fetches player boxscores combined
Arguments:
season: str in YYYY-YY format (2015-16)
Returns:
players (list): player boxscores
'''
pboxes = []
gids = self.db.select_list(missing_player_boxscores())
if not gids:
logging.error('no missing gameids found')
return None
logging.info('there are {} missing game boxscores'.format(len(gids)))
for gid in gids:
logging.info('getting {}'.format(gid))
box = self._combined_player_boxscores(gid)
if not box:
logging.error('no box for {}'.format(gid))
continue
if self.insert_db:
self.db.insert_player_boxscores(box)
pboxes.append(box)
return [item for sublist in pboxes for item in sublist]
def player_boxscores_combined(self):
'''
Fetches player boxscores combined
Arguments:
season: str in YYYY-YY format (2015-16)
Returns:
players (list): player boxscores
'''
pboxes = []
gids = self.db.select_list(missing_player_boxscores())
if not gids:
logging.error('no missing gameids found')
return None
logging.info('there are {} missing game boxscores'.format(len(gids)))
for gid in gids:
logging.info('getting {}'.format(gid))
box = self._combined_player_boxscores(gid)
if not box:
logging.error('no box for {}'.format(gid))
continue
if self.insert_db:
self.db.insert_player_boxscores(box)
pboxes.append(box)
return [item for sublist in pboxes for item in sublist]
def player_gamelogs(self, season, date_from=None, date_to=None):
'''
Fetches player_gamelogs and updates player_gamelogs table
Arguments:
season: str in YYYY-YY format (2015-16)
date_from: str in YYYY-mm-dd format
date_to: str in YYYY-mm-dd format
Returns:
players (list): player dictionary of stats + dfs points
'''
pgl = self.parser.season_gamelogs(
self.scraper.season_gamelogs(season, 'P'), 'P')
if self.insert_db:
self.db.insert_player_gamelogs(pgl)
return pgl
def playerstats(self,
season,
date_from=None,
date_to=None,
all_missing=False):
'''
Fetches playerstats and updates player_gamelogs table
Arguments:
season: str in YYYY-YY format (2015-16)
date_from: str in YYYY-mm-dd format
date_to: str in YYYY-mm-dd format
all_missing: boolean
Returns:
players (list): player dictionary of stats + dfs points
Examples:
a = NBAComAgent()
np = a.playerstats(season='2015-16', date_from='2016-03-01', date_to='2016-03-08')
'''
if date_from and date_to:
ps_base = self.parser.playerstats(
self.scraper.playerstats(season,
DateFrom=date_from,
DateTo=date_to))
ps_advanced = self.parser.playerstats(
self.scraper.playerstats(season,
DateFrom=date_from,
DateTo=date_to,
MeasureType='Advanced'))
ps = [
merge(dict(), [psb, psadv])
for psb, psadv in zip(ps_base, ps_advanced)
]
if self.insert_db:
self.db.insert_playerstats(ps, as_of=date_to)
return ps
elif all_missing:
pstats = {}
start = datetostr(d=season_start(season), site='nba')
for day in self.db.select_list(missing_playerstats()):
daystr = datetostr(day, 'nba')
ps_base = self.parser.playerstats(
self.scraper.playerstats(season,
DateFrom=start,
DateTo=daystr))
ps_advanced = self.parser.playerstats(
self.scraper.playerstats(season,
DateFrom=start,
DateTo=daystr,
MeasureType='Advanced'))
ps = [
merge(dict(), [psadv, psb])
for psb, psadv in zip(ps_base, ps_advanced)
]
pstats[daystr] = ps
if self.insert_db:
self.db.insert_playerstats(ps, as_of=daystr)
logging.info('completed {}'.format(daystr))
return pstats
else:
raise ValueError(
'need to specify dates or set all_missing to true')
def scoreboards(self, season_start, season_end):
'''
Downloads and parses range of scoreboards
Arguments:
season_start (str): in %Y-%m-%d format
season_end (str): in %Y-%m-%d format
Returns:
scoreboards (list): scoreboard dicts
Examples:
a = NBAComAgent()
sb = a.scoreboards(season_start='2015-10-27', season_end='2016-04-15')
'''
scoreboards = []
for day in reversed(date_list(season_end, season_start)):
game_date = dt.datetime.strftime(day, '%Y-%m-%d')
scoreboard_json = self.scraper.scoreboard(game_date=game_date)
scoreboard = self.parser.scoreboard(scoreboard_json,
game_date=game_date)
scoreboards.append(scoreboard)
if self.insert_db:
self.db.insert_scoreboards(scoreboards)
return scoreboards
def team_boxscores_combined(self):
'''
Fetches team boxscores combined
Returns:
tboxes: list of boxscores
'''
tboxes = []
gids = self.db.select_list(missing_team_boxscores())
if not gids:
logging.error('no missing gameids found')
return None
logging.info('there are {} missing game boxscores'.format(len(gids)))
for gid in gids:
logging.info('getting {}'.format(gid))
box = self.combined_team_boxscores(gid)
if not box:
logging.error('no box for {}'.format(gid))
continue
if self.insert_db:
self.db.insert_team_boxscores(box)
tboxes.append(box)
return [item for sublist in tboxes for item in sublist]
def team_gamelogs(self, season, date_from=None, date_to=None):
'''
Fetches team_gamelogs and updates cs_team_gamelogs table
Arguments:
season (str): in YYYY-YY format (2015-16)
Returns:
team_gl (list): player dictionary of stats
Examples:
a = NBAComAgent()
tgl = a.team_gamelogs(season='2015-16', date_from='2016-03-01', date_to='2016-03-08', insert_db=True)
'''
content = self.scraper.season_gamelogs(season=season,
player_or_team='T')
tgl = self.parser.season_gamelogs(content, 'T')
mtgl = self.db.missing_tgl()
if tgl and mtgl:
toins = [gl for gl in tgl if gl.get('GAME_ID', None) in mtgl]
if self.insert_db:
self.db.insert_team_gamelogs(toins)
return toins
else:
logging.error('no team gamelogs to insert')
def teamstats(self,
season,
date_from=None,
date_to=None,
all_missing=False):
'''
Fetches teamstats and updates database table
Arguments:
season (str): in YYYY-YY format (2015-16)
date_from (str): in %Y-%m-%d format, default beginning of season
date_from (str): in %Y-%m-%d format, default yesterday
all_missing: boolean
Returns:
list of team dictionary of basic and advanced stats
Examples:
a = NBAComAgent()
ps = a.teamstats(season='2015-16', date_from='2016-03-01', date_to='2016-03-08')
ps = a.teamstats(season='2015-16', all_missing=True)
'''
if date_from and date_to:
ts_base = self.parser.teamstats(
self.scraper.teamstats(season,
DateFrom=date_from,
DateTo=date_to))
ts_advanced = self.parser.teamstats(
self.scraper.teamstats(season,
DateFrom=date_from,
DateTo=date_to,
MeasureType='Advanced'))
ts = [
merge(dict(), [psb, psadv])
for psb, psadv in zip(ts_base, ts_advanced)
]
if self.insert_db:
self.db.insert_teamstats(ts, as_of=date_to)
return ts
elif all_missing:
tstats = {}
start = datetostr(d=season_start(season), site='nba')
for day in self.db.select_list(missing_teamstats()):
daystr = datetostr(day, 'nba')
ts_base = self.parser.teamstats(
self.scraper.teamstats(season,
DateFrom=start,
DateTo=daystr))
ts_advanced = self.parser.teamstats(
self.scraper.teamstats(season,
DateFrom=start,
DateTo=daystr,
MeasureType='Advanced'))
ts = [
merge(dict(), [psb, psadv])
for psb, psadv in zip(ts_base, ts_advanced)
]
tstats[daystr] = ts
if self.insert_db:
self.db.insert_teamstats(ts, as_of=daystr)
logging.debug('teamstats: completed {}'.format(daystr))
else:
logging.error('did not insert: {}'.format(ts))
return tstats
else:
raise ValueError(
'need to specify dates or set all_missing to true')
def team_opponent_dashboards(self,
season,
date_from=None,
date_to=None,
all_missing=False):
'''
Downloads and parses range of team_opponents
Arguments:
season (str): in YYYY-YY format
date_from (str): in %Y-%m-%d format, default is actual start of season
date_to (str): in %Y-%m-%d format, default is actual end of season
all_missing (bool): get all missing dashboards
Returns:
topp (list): dicts
Examples:
a = NBAComAgent()
topp = a.team_opponent_dashboards('2014-15')
'''
if date_from and date_to:
content = self.scraper.team_opponent_dashboard(season,
DateFrom=date_from,
DateTo=date_to)
topp = self.parser.team_opponent_dashboard(content)
if self.insert_db:
self.db.insert_team_opponent_dashboards(topp, as_of=date_to)
return topp
elif all_missing:
topps = {}
start = datetostr(d=season_start(season), site='nba')
for day in self.db.select_list(missing_team_opponent_dashboard()):
daystr = datetostr(day, 'nba')
content = self.scraper.team_opponent_dashboard(season,
DateFrom=start,
DateTo=daystr)
topp = self.parser.team_opponent_dashboard(content)
if self.insert_db:
self.db.insert_team_opponent_dashboards(topp, as_of=daystr)
topps[daystr] = topp
return topps
else:
raise ValueError(
'need to specify dates or set all_missing to true')
def update_player_positions(self):
'''
Trying to make sure all position data is current
Only info in nba.com is PLAYER key, this is only Guard, etc.
Unclear where the PG, etc. comes from
TODO: this is not functional yet
'''
if not self.db:
raise ValueError('need database connection to update players')
q = """SELECT nbacom_player_id FROM stats.players2 WHERE nbacom_position IS NULL or nbacom_position = ''"""
uq = """UPDATE stats.players2 SET nbacom_position = '{}' WHERE nbacom_player_id = {}"""
for pid in self.db.select_list(q):
logging.debug('getting {}'.format(pid))
pinfo = self.parser.player_info(
self.scraper.player_info(pid, '2015-16'))
if pinfo.get('POSITION'):
self.db.update(uq.format(pinfo.get('POSITION'), pid))
logging.debug('inserted {}'.format(
pinfo.get('DISPLAY_FIRST_LAST')))
class NBAPlayers(object):
'''
TODO: need to update / merge this with the names module
Provides for updating nba.com players table (stats.players)
Also permits cross-reference of player names and player ids from various sites(stats.player_xref)
Usage:
np = NBAComPlayers(db=True)
np.missing_players('2015-16')
'''
def __init__(self, db=False):
self.logger = logging.getLogger(__name__)
self._dk_players = []
self.scraper = NBAComScraper()
self.parser = NBAComParser()
if db:
self.nbadb = NBAPostgres()
@property
def dk_players(self):
'''
Dictionary of player_name: draftkings_player_id
Returns:
dk_players (dict): key is player name, value is dk_player_id
'''
if not self._dk_players:
try:
fn = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'data', 'dk_players.json')
with open(fn, 'r') as infile:
self._dk_players = json.load(infile)
except:
self.logger.exception('could not open dk_players json file')
return self._dk_players
def missing_players(self, season):
'''
Looks for missing players by comparing current_season_gamelogs and players tables
Fetches player_info by id, inserts player into players table
Arguments:
season (str): example '2015-16' for the current season
Returns:
missing (list): list of dictionaries that represent row in players table
'''
if not self.nbadb:
raise ValueError('missing_players requires a database connection')
missing = []
# get list of ids that appear in current_season_gamelogs but not players
sql = '''
SELECT DISTINCT player_id FROM stats.cs_player_gamelogs
WHERE player_id NOT IN (SELECT DISTINCT nbacom_player_id FROM stats.players)
'''
results = self.nbadb.select_list(sql)
if results:
for pid in results:
content = self.scraper.player_info(pid, season)
pi = self.parser.player_info(content)
pi = {k.lower(): v for k,v in pi.iteritems()}
pi.pop('games_played_flag', None)
pi['nbacom_team_id'] = pi.get('team_id', None)
pi.pop('team_id', None)
pi['nbacom_position'] = pi.get('position', None)
pi.pop('position', None)
pi['nbacom_player_id'] = pi.get('person_id', None)
pi.pop('person_id', None)
if pi.get('height', None):
try:
feet, inches = pi['height'].split('-')
pi['height'] = int(feet)*12 + int(inches)
except: pass
# have to convert empty strings to None, otherwise insert fails for integer/numeric columns
player_info= {}
for k,v in pi.iteritems():
if not v:
player_info[k] = None
else:
player_info[k] = v
missing.append(player_info)
if self.polite: time.sleep(1)
if missing: self.nbadb.insert_dicts(missing, 'stats.players')
return missing
def recent_nbacom_players(self):
'''
Gets last couple of years of players from nba.com
Returns dictionary with key of name + team
'''
if not self.nbadb:
return None
else:
# can also return in dict format
# {'{0} {1}'.format(item['player_name'], item.get('team_code')):item for item in self.nbadb.select_dict(sql)}
sql = '''SELECT * FROM recent_nba_players'''
return self.nbadb.select_dict(sql)
def player_xref(self, site_name):
'''
Obtains dictionary of site_player_id and nbacom_player_id
Args:
site_name (str): 'dk', 'fantasylabs', etc.
Return:
player_xref (dict): key is site_player_id
'''
sql = '''SELECT nbacom_player_id, site_player_id FROM stats.player_xref WHERE site='{0}' ORDER by nbacom_player_id'''
xref = self.nbadb.select_dict(sql.format(site_name))
return {p.get('site_player_id'): p.get('nbacom_player_id') for p in xref if p.get('site_player_id')}
def site_to_nbacom(self, site, player_name):
'''
Returns dictionary with name of player on site, value is list of name and id of player on nba.com
Arguments:
site (str): 'dk', 'fd', 'rg', 'doug', 'espn'
Returns:
players (dict): key is player name on site, value is list [nbacom_player_name, nbacom_player id]
'''
if site.lower() not in self.sites:
# should try name matcher
pass
elif site.lower() == 'dk':
return self._dk_name(player_name)
elif 'doug' in site.lower():
return self._doug_name(player_name)
elif 'espn' in site.lower():
return self._espn_name(player_name)
elif site.lower() == 'fd' or 'duel' in site.lower():
return self._fd_name(player_name)
elif site.lower() == 'fl' or 'labs' in site.lower():
return self._fl_name(player_name)
elif site.lower() == 'rg' or 'guru' in site.lower():
return self._rg_name(player_name)
class NBAComAgent(object):
'''
Performs script-like tasks using NBA.com API
'''
def __init__(self,
db=None,
cache_name='nbacom-agent',
cookies=None,
table_names=None):
'''
Args:
db (NBAPostgres): instance
cache_name (str): for scraper cache_name
cookies: cookie jar
table_names (dict): Database table names
'''
logging.getLogger(__name__).addHandler(logging.NullHandler())
self.scraper = NBAComScraper(cache_name=cache_name, cookies=cookies)
self.parser = NBAComParser()
self.db = db
if table_names:
self.table_names = table_names
else:
self.table_names = {
'pgl': 'player_gamelogs',
'tgl': 'team_gamelogs',
'seas': 'season',
'pl': 'player',
'ps': 'playerstats_daily',
'ts': 'teamstats_daily',
'tod': 'team_opponent_dashboard',
'pbs': 'player_boxscores_combined',
'tbs': 'team_boxscores_combined',
'box2': 'game_boxscores',
'tm': 'team'
}
def combined_boxscores(self, game_ids=None):
'''
Combines 5 types of boxscores (traditional, advanced, misc, scoring, usage) into list of team boxscore
Arguments:
game_id (str): game ID, with leading '00'
Returns:
tuple: list of player boxscores, list of team boxscores
'''
player_boxscores = []
team_boxscores = []
if not game_ids:
game_ids = set(self.db.select_list(missing_player_boxscores())) | \
set(self.db.select_list(missing_team_boxscores()))
# need union of missing player and team
for game_id in game_ids:
# make sure game_id in correct format when requesting boxscores
gid = nbacom_idstr(game_id)
logging.info(
'agent.nbacom.combined_boxscores: getting {}'.format(gid))
# get 5 types of boxscores
traditional_players, traditional_teams, traditional_starter_bench = \
self.parser.boxscore_traditional(self.scraper.boxscore_traditional(gid))
adv_players, adv_teams = self.parser.boxscore_advanced(
self.scraper.boxscore_advanced(gid))
misc_players, misc_teams = self.parser.boxscore_misc(
self.scraper.boxscore_misc(gid))
scoring_players, scoring_teams = self.parser.boxscore_scoring(
self.scraper.boxscore_scoring(gid))
usage_players = self.parser.boxscore_usage(
self.scraper.boxscore_usage(gid))
# combine player and team boxscores, respectively
players_combined = list(
merge_many(dict(),
[{t['PLAYER_ID']: t
for t in traditional_players},
{t['PLAYER_ID']: t
for t in adv_players},
{t['PLAYER_ID']: t
for t in misc_players},
{t['PLAYER_ID']: t
for t in scoring_players},
{t['PLAYER_ID']: t
for t in usage_players}]).values())
teams_combined = list(
merge_many(dict(), [{
t['TEAM_ID']: t
for t in traditional_teams
}, {t['TEAM_ID']: t
for t in adv_teams}, {t['TEAM_ID']: t
for t in misc_teams},
{t['TEAM_ID']: t
for t in scoring_teams}]).values())
# now add to the database
self.db.safe_insert_dicts(player_boxscores_table(players_combined),
self.table_names['pbs'])
self.db.safe_insert_dicts(team_boxscores_table(teams_combined),
self.table_names['tbs'])
return (player_boxscores, team_boxscores)
def game_boxscores(self, game_ids=None):
'''
Updates table with game_information
Args:
None
Returns:
None
'''
if not game_ids:
game_ids = self.db.select_dict(missing_game_boxscores())
for g in game_ids:
try:
content = self.scraper.boxscore_v2015(g['gid'], g['gd'])
v, h = self.parser.boxscore_v2015(content)
self.db._insert_dict(v, self.table_names['box2'])
self.db._insert_dict(h, self.table_names['box2'])
logging.info('finished {} - {}'.format(g['gd'], g['gid']))
return [v, h]
except Exception as e:
logging.error('could not get {}'.format(g))
logging.exception(e)
return None
def gleague_players(self, year):
'''
Updates player table with g-league players
Args:
year (int): 2017, etc.
Returns:
None
'''
content = self.scraper.gleague_players(year)
players = self.parser.gleague_players(content)
for glp in gleague_player_table(players):
self.db._insert_dict(glp, self.table_names['pl'])
return players
def player_gamelogs(self, season_code, date_from=None, date_to=None):
'''
Fetches player_gamelogs and updates player_gamelogs table
Args:
season_code (str): in YYYY-YY format (2017-18)
date_from (str): in YYYY-mm-dd format, default None
date_to (str): in YYYY-mm-dd format, default None
Returns:
list: of player dict
'''
# get all player gamelogs from nba.com
content = self.scraper.season_gamelogs(season_code,
'P',
date_from=date_from,
date_to=date_to)
pgl = self.parser.season_gamelogs(content, 'P')
pgl_s = set(
['{}-{}'.format(gl['GAME_ID'], gl['PLAYER_ID']) for gl in pgl])
# compare to gamelogs in database: refresh view then compare
dbpgl = self.db.select_dict(
'SELECT nbacom_game_id, nbacom_player_id FROM cs_player_gamelogs')
dbpgl_s = set([
'00{}-{}'.format(gl['nbacom_game_id'], gl['nbacom_player_id'])
for gl in dbpgl
])
# only try to insert missing gamelogs
missing = pgl_s - dbpgl_s
to_ins = [
gl for gl in pgl
if '{}-{}'.format(gl['GAME_ID'], gl['PLAYER_ID']) in missing
]
self.db.insert_dicts(player_gamelogs_table(to_ins), 'player_gamelogs')
return pgl
def playerstats(self,
season_code,
per_mode='Totals',
date_from=None,
date_to=None,
all_missing=False):
'''
Fetches playerstats and updates playerstats table
Args:
season_code (str): in YYYY-YY format, e.g. 2017-18
per_mode (str): 'Totals', 'PerGame', etc.
date_from (str): in YYYY-mm-dd format, default None
date_to (str): in YYYY-mm-dd format, default None
all_missing (bool): default False
Returns:
None
'''
if date_from and date_to:
ps_base = self.parser.playerstats(
self.scraper.playerstats(season_code,
per_mode=per_mode,
DateFrom=date_from,
DateTo=date_to))
ps_advanced = self.parser.playerstats(
self.scraper.playerstats(season_code,
per_mode=per_mode,
DateFrom=date_from,
DateTo=date_to,
MeasureType='Advanced'))
ps = [
merge_two(psb, psadv)
for psb, psadv in zip(ps_base, ps_advanced)
]
vals = playerstats_table(ps, date_to, per_mode)
logging.info(vals)
self.db.insert_dicts(vals, self.table_names['ps'])
elif all_missing:
start = datetostr(d=season_start(season_code=season_code),
fmt='nba')
for day in self.db.select_list(missing_playerstats(per_mode)):
daystr = datetostr(day, 'nba')
base_content = self.scraper.playerstats(season_code,
per_mode=per_mode,
DateFrom=start,
DateTo=daystr)
ps_base = self.parser.playerstats(base_content,
per_mode=per_mode)
adv_content = self.scraper.playerstats(season_code,
per_mode=per_mode,
DateFrom=start,
DateTo=daystr,
MeasureType='Advanced')
ps_advanced = self.parser.playerstats(adv_content, per_mode)
ps = [
merge_two(psadv, psb)
for psb, psadv in zip(ps_base, ps_advanced)
]
self.db.insert_dicts(playerstats_table(ps, daystr, per_mode),
self.table_names['ps'])
logging.info('completed {}'.format(daystr))
else:
raise ValueError(
'agent.nbacom.playerstats: need to specify dates or set all_missing to true'
)
def refresh_materialized(self):
'''
Calls postgres function to refresh all materialized views.
'''
refreshq = """SELECT RefreshAllMaterializedViews('*', true);"""
try:
self.db.execute(refreshq)
except Exception as e:
logging.exception(
'could not refresh materialized views: {}'.format(e))
def team_gamelogs(self, season_code, date_from=None, date_to=None):
'''
Fetches team_gamelogs and updates team_gamelogs table
Args:
season_code (str): in YYYY-YY format (2017-18)
date_from (str): in YYYY-mm-dd format, default None
date_to (str): in YYYY-mm-dd format, default None
Returns:
list: of dict
'''
content = self.scraper.season_gamelogs(season_code, 'T', date_from,
date_to)
tgl = self.parser.season_gamelogs(content, 'T')
tgl_s = set(
['{}-{}'.format(gl['GAME_ID'], gl['TEAM_ID']) for gl in tgl])
# compare team gamelogs to those already in database
dbtgl_s = set(
self.db.select_list(
"""SELECT CONCAT(nbacom_game_id, '-', nbacom_team_id) FROM cs_team_gamelogs"""
))
# only try to insert missing gamelogs
missing = tgl_s - dbtgl_s
to_ins = [
gl for gl in tgl
if '{}-{}'.format(gl['GAME_ID'], gl['TEAM_ID']) in missing
]
for item in team_gamelogs_table(to_ins):
self.db._insert_dict(item, self.table_names['tgl'])
return tgl
def team_opponent_dashboards(self,
season_code,
per_mode,
date_from=None,
date_to=None,
all_missing=False):
'''
Downloads and parses range of team_opponents
Arguments:
season_code (str): in YYYY-YY format
per_mode (str): 'Totals', 'PerGame', etc.
date_from (str): in %Y-%m-%d format, default is actual start of season
date_to (str): in %Y-%m-%d format, default is actual end of season
all_missing (bool): get all missing dashboards
Returns:
None
'''
if date_from and date_to:
content = self.scraper.team_opponent_dashboard(season_code,
per_mode=per_mode,
date_from=date_from,
date_to=date_to)
topp = self.parser.team_opponent_dashboard(content)
self.db.insert_dicts(team_opponent_dashboards_table(topp, date_to),
self.table_names.get('tod'))
elif all_missing:
topps = {}
start = datetostr(d=season_start(season_code=season_code),
fmt='nba')
for day in self.db.select_list(
missing_team_opponent_dashboard(per_mode)):
daystr = datetostr(day, 'nba')
logging.info('starting dashboards for {}'.format(daystr))
content = self.scraper.team_opponent_dashboard(season_code,
date_from=start,
date_to=date_to)
topp = self.parser.team_opponent_dashboard(content, per_mode)
self.db.insert_dicts(
team_opponent_dashboards_table(topp, daystr, per_mode),
self.table_names.get('tod'))
return topps
else:
raise ValueError(
'need to specify dates or set all_missing to true')
def teamstats(self,
season_code,
per_mode,
date_from=None,
date_to=None,
all_missing=False):
'''
Fetches teamstats and updates database table
Args:
season_code (str): in YYYY-YY format (2015-16)
per_mode (str): 'Totals', 'PerGame', etc.
date_from (str): in %Y-%m-%d format
date_to (str): in %Y-%m-%d format
all_missing (bool): looks for all missing teamstats from season
Returns:
list of team dictionary of basic and advanced stats
'''
if date_from and date_to:
content_base = self.scraper.teamstats(season_code,
per_mode=per_mode,
date_from=date_from,
date_to=date_to)
ts_base = self.parser.teamstats(content_base, per_mode)
content_adv = self.scraper.teamstats(season_code,
per_mode=per_mode,
date_from=date_from,
date_to=date_to,
MeasureType='Advanced')
ts_advanced = self.parser.teamstats(content_adv, per_mode)
ts_merged = [
merge_two(tsb, tsadv)
for tsb, tsadv in zip(ts_base, ts_advanced)
]
self.db.insert_dicts(teamstats_table(ts_merged, date_to, per_mode),
self.table_names['ts'])
elif all_missing:
start = datetostr(d=season_start(season_code=season_code),
fmt='nba')
for day in self.db.select_list(missing_teamstats(per_mode)):
logging.info('teamstats: getting {}'.format(day))
daystr = datetostr(day, 'nba')
content_base = self.scraper.teamstats(season_code,
per_mode=per_mode,
date_from=start,
date_to=daystr)
ts_base = self.parser.teamstats(content_base, per_mode)
content_adv = self.scraper.teamstats(season_code,
per_mode=per_mode,
date_from=start,
date_to=daystr,
MeasureType='Advanced')
ts_advanced = self.parser.teamstats(content_adv, per_mode)
ts = [
merge_two(tsb, tsadv)
for tsb, tsadv in zip(ts_base, ts_advanced)
]
self.db.insert_dicts(teamstats_table(ts, daystr, per_mode),
self.table_names['ts'])
logging.debug('teamstats: completed {}'.format(daystr))
else:
raise ValueError(
'need to specify dates or set all_missing to true')
class NBAPlayers(object):
'''
TODO: need to update / merge this with the names module
Provides for updating nba.com players table (stats.players)
Also permits cross-reference of player names and player ids from various sites(stats.player_xref)
Usage:
np = NBAComPlayers(db=True)
np.missing_players('2015-16')
'''
def __init__(self, db=None):
logging.getLogger(__name__).addHandler(logging.NullHandler())
self._dk_players = []
self.scraper = NBAComScraper()
self.parser = NBAComParser()
if db:
self.nbadb = db
def _convert_heigt(self, h):
'''
Converts height from 6-11 (feet-inches) to 73 (inches)
Args:
h(str): e.g. 6-7, 5-11, 7-1
Returns:
height(int): e.g. 79, 71, 85
'''
try:
f, i = h.split('-')
return int(f) * 12 + int(i)
except:
return None
@property
def dk_players(self):
'''
Dictionary of player_name: draftkings_player_id
Returns:
dk_players (dict): key is player name, value is dk_player_id
'''
if not self._dk_players:
try:
fn = os.path.join(os.path.dirname(os.path.abspath(__file__)),
'data', 'dk_players.json')
with open(fn, 'r') as infile:
self._dk_players = json.load(infile)
except:
logging.exception('could not open dk_players json file')
return self._dk_players
def missing_players(self, season):
'''
Looks for missing players by comparing current_season_gamelogs and players tables
Fetches player_info by id, inserts player into players table
Arguments:
season (str): example '2015-16' for the current season
Returns:
missing (list): list of dictionaries that represent row in players table
'''
if not self.nbadb:
raise ValueError('missing_players requires a database connection')
missing = []
# get list of ids that appear in current_season_gamelogs but not players
sql = '''SELECT * FROM stats.players_to_add'''
for pid in self.nbadb.select_list(sql):
content = self.scraper.player_info(pid, season)
pinfo = self.parser.player_info(content)
pi = {k.lower(): v for k, v in pinfo.items()}
pi.pop('games_played_flag', None)
pi['nbacom_team_id'] = pi.get('team_id', None)
pi.pop('team_id', None)
pi['nbacom_position'] = pi.get('position', None)
pi.pop('position', None)
pi['nbacom_player_id'] = pi.get('person_id', None)
pi.pop('person_id', None)
if pi.get('height', None):
pi['height'] = self._convert_heigt(pi['height'])
# have to convert empty strings to None, otherwise insert fails for integer/numeric columns
player_info = {}
for k, v in pi.items():
if not v:
player_info[k] = None
else:
player_info[k] = v
missing.append(player_info)
if self.polite:
time.sleep(1)
if missing:
self.nbadb.insert_dicts(missing, 'stats.players')
return missing
def player_xref(self, site_name):
'''
Obtains dictionary of site_player_id and nbacom_player_id
Args:
site_name (str): 'dk', 'fantasylabs', etc.
Return:
player_xref (dict): key is site_player_id
'''
sql = '''SELECT nbacom_player_id, site_player_id FROM stats.player_xref WHERE site='{0}' ORDER by nbacom_player_id'''
xref = self.nbadb.select_dict(sql.format(site_name))
return {
p.get('site_player_id'): p.get('nbacom_player_id')
for p in xref if p.get('site_player_id')
}
def site_to_nbacom(self, site, player_name):
'''
Returns dictionary with name of player on site, value is list of name and id of player on nba.com
Arguments:
site (str): 'dk', 'fd', 'rg', 'doug', 'espn'
Returns:
players (dict): key is player name on site, value is list [nbacom_player_name, nbacom_player id]
'''
if site.lower() not in self.sites:
# should try name matcher
pass
elif site.lower() == 'dk':
return self._dk_name(player_name)
elif 'doug' in site.lower():
return self._doug_name(player_name)
elif 'espn' in site.lower():
return self._espn_name(player_name)
elif site.lower() == 'fd' or 'duel' in site.lower():
return self._fd_name(player_name)
elif site.lower() == 'fl' or 'labs' in site.lower():
return self._fl_name(player_name)
elif site.lower() == 'rg' or 'guru' in site.lower():
return self._rg_name(player_name)
def setUp(self):
logging.getLogger(__name__).addHandler(logging.NullHandler())
self.nbs = NBAComScraper()
self.nbp = NBAComParser()
class NBAComParser_test(unittest.TestCase):
def setUp(self):
logging.getLogger(__name__).addHandler(logging.NullHandler())
self.nbs = NBAComScraper()
self.nbp = NBAComParser()
def _get_from_file(self, fn):
if os.path.isfile(fn):
try:
with open(fn) as x:
return x.read()
except:
logging.exception('could not read from file ' + fn)
return None
def _one_player_gamelogs(self, fn='one_player_gamelogs.json'):
return self._get_from_file(fn)
def _one_team_gamelogs(self, fn='one_team_gamelogs.json'):
return self._get_from_file(fn)
def _player_boxscore_traditional(self, fn='boxscore_traditional.json'):
return self._get_from_file(fn)
def _player_gamelogs(self, fn='player_gamelogs.json'):
return self._get_from_file(fn)
def _player_info(self, fn='player_info.json'):
return self._get_from_file(fn)
def _players(self, fn='players.json'):
return self._get_from_file(fn)
def _playerstats(self, fn='player_stats.json'):
return self._get_from_file(fn)
def _scoreboard(self, fn='scoreboard.json'):
return self._get_from_file(fn)
def _team_dashboard(self, fn='team_dashboard.json'):
return self._get_from_file(fn)
def _team_gamelogs(self, fn='team_game_logs.json'):
return self._get_from_file(fn)
def _team_opponent_dashboard(self, fn='team_opponent_dashboard.json'):
return self._get_from_file(fn)
def _teams(self, fn='teams.js'):
return self._get_from_file(fn)
def _teamstats(self, fn='teamstats.json'):
return self._get_from_file(fn)
def test_boxscore(self):
content = self._player_boxscore_traditional()
if not content:
content = self.nbs.boxscore_traditional('0021500001')
players, teams, starter_bench = self.nbp.boxscore_traditional(content)
self.assertIsInstance(players, list)
self.assertIsInstance(teams, list)
self.assertIsInstance(players[0], dict)
self.assertIn('MIN_PLAYED', players[0],
"players should have min_played")
self.assertIn('MIN_PLAYED', players[8],
"players should have min_played")
self.assertIn('MIN', teams[0], "teams should have min")
self.assertIn('MIN', teams[1], "teams should have min")
def test_one_player_gamelogs(self):
content = self._one_player_gamelogs()
if not content:
content = self.nbs.one_player_gamelogs('203083', '2015-16')
gls = self.nbp.one_player_gamelogs(content)
self.assertIsInstance(gls, list)
self.assertIsInstance(gls[0], dict)
logging.info(gls)
def test_one_team_gamelogs(self):
content = self._one_team_gamelogs()
if not content:
team_id = '1610612765'
season = '2015-16'
content = self.nbs.one_team_gamelogs(team_id, season)
gls = self.nbp.one_team_gamelogs(content)
self.assertIsInstance(gls, list)
self.assertIsInstance(gls[0], dict)
def test_player_info(self):
content = self._player_info()
if not content:
content = self.nbs.player_info('201939', '2015-16')
pinfo = self.nbp.player_info(content)
self.assertIsInstance(pinfo, dict)
def test_players(self):
content = self._players()
if not content:
content = self.nbs.players(season='2016-17', cs_only='1')
ps = self.nbp.players(content)
self.assertIsInstance(ps, list)
self.assertIsNotNone(ps[0], 'ps should not be none')
def test_playerstats(self):
content = self._playerstats()
if not content:
statdate = '2016-01-20'
content = self.nbs.playerstats('2015-16')
ps = self.nbp.playerstats(content, statdate)
self.assertIsInstance(ps, list)
self.assertEqual(ps[0].get('STATDATE'), statdate)
def test_season_gamelogs(self):
team_content = self._team_gamelogs()
player_content = self._player_gamelogs()
if not team_content:
team_content = self.nbs.season_gamelogs('2015-16', 'T')
if not player_content:
player_content = self.nbs.season_gamelogs('2015-16', 'P')
team_gl = self.nbp.season_gamelogs(team_content, 'T')
player_gl = self.nbp.season_gamelogs(player_content, 'P')
self.assertIsInstance(player_gl, list)
self.assertIsInstance(team_gl, list)
self.assertIn('GAME_ID', player_gl[0], "players should have game_id")
self.assertIn('GAME_ID', team_gl[0], "teams should have game_id")
def test_team_dashboard(self):
content = self._team_dashboard()
if not content:
team_id = '1610612765'
season = '2015-16'
content = self.nbs.team_dashboard(team_id, season)
td = self.nbp.team_dashboard(content)
self.assertIsInstance(td, dict)
self.assertIn('overall', td, "dashboard has overall")
def test_team_opponent_dashboard(self):
content = self._team_opponent_dashboard()
if not content:
season = '2015-16'
content = self.nbs.team_opponent_dashboard(season)
td = self.nbp.team_opponent_dashboard(content)
self.assertIsInstance(td, list)
self.assertIsNotNone(td[0], 'td should not be None')
def test_teams(self):
content = self._teams()
if not content:
content = self.nbs.teams()
tms = self.nbp.teams(content)
self.assertIsInstance(tms, dict)
self.assertIsNotNone(tms, 'tms should not be None')
def test_teamstats(self):
content = self._teamstats()
if not content:
season = '2015-16'
content = self.nbs.teamstats(season)
ts = self.nbp.teamstats(content)
self.assertIsInstance(ts, list)
self.assertIsNotNone(ts[0], 'ts should not be None')
class NBAComAgent(object):
'''
Performs script-like tasks using NBA.com API
'''
def __init__(self, db=None, cache_name=None, cookies=None):
'''
Arguments:
cache_name: str for scraper cache_name
cookies: cookie jar
db: NBAComPg instance
'''
self.scraper = NBAComScraper(cache_name=cache_name, cookies=cookies)
self.parser = NBAComParser()
if db:
self.db = db
self.insert_db = True
else:
self.insert_db = False
def _merge(self, merge_dico, dico_list):
'''
See http://stackoverflow.com/questions/28838291/merging-multiple-dictionaries-in-python
Args:
merge_dico:
dico_list:
Returns:
merged dictionary
'''
for dico in dico_list:
for key, value in dico.items():
if type(value) == type(dict()):
merge_dico.setdefault(key, dict())
self._merge(merge_dico[key], [value])
else:
merge_dico[key] = value
return merge_dico
def combined_player_boxscores(self, gid):
'''
Combines 5 types of boxscores from nba.com API into list of boxscores
Arguments:
gid: string game ID, with leading '00'
Returns:
list of player boxscores combined - traditional, advanced, misc, scoring, usage
Examples:
a = NBAComAgent()
playerboxes = a.combined_player_boxscores('0020161001')
'''
traditional_players, traditional_teams, traditional_starter_bench = self.parser.boxscore_traditional(
self.scraper.boxscore_traditional(gid))
adv_players, adv_team = self.parser.boxscore_advanced(
self.scraper.boxscore_advanced(gid))
misc_players, misc_team = self.parser.boxscore_misc(
self.scraper.boxscore_misc(gid))
scoring_players, scoring_team = self.parser.boxscore_scoring(
self.scraper.boxscore_scoring(gid))
usage_players = self.parser.boxscore_usage(
self.scraper.boxscore_usage(gid))
# now need to combine player and team boxscores
players = self._merge(
dict(),
[{t['PLAYER_ID']: t
for t in traditional_players},
{t['PLAYER_ID']: t
for t in adv_players}, {t['PLAYER_ID']: t
for t in misc_players},
{t['PLAYER_ID']: t
for t in scoring_players},
{t['PLAYER_ID']: t
for t in usage_players}])
return list(players.values())
def combined_team_boxscores(self, gid):
'''
Combines 5 types of boxscores from nba.com API into list of boxscores
Arguments:
gid: string game ID, with leading '00'
Returns:
list of team boxscores - combined traditional, advanced, misc, scoring
Examples:
a = NBAComAgent()
teamboxes = a.combined_team_boxscores('0020161001')
'''
traditional_players, traditional_teams, traditional_starter_bench = self.parser.boxscore_traditional(
self.scraper.boxscore_traditional(gid))
adv_players, adv_teams = self.parser.boxscore_advanced(
self.scraper.boxscore_advanced(gid))
misc_players, misc_teams = self.parser.boxscore_misc(
self.scraper.boxscore_misc(gid))
scoring_players, scoring_teams = self.parser.boxscore_scoring(
self.scraper.boxscore_scoring(gid))
# now need to combine player and team boxscores
teams = self._merge(
dict(),
[{t['TEAM_ID']: t
for t in traditional_teams},
{t['TEAM_ID']: t
for t in adv_teams}, {t['TEAM_ID']: t
for t in misc_teams},
{t['TEAM_ID']: t
for t in scoring_teams}])
return list(teams.values())
def new_players(self, season):
'''
Updates players table with missing players
Arguments:
season (str): in YYYY-YY format
Returns:
list of players to add to stats.players
Examples:
a = NBAComAgent(cache_name='newplayers', cookies=httplib.CookieJar(), db=NBAComPg(...))
np = a.new_players(season='2015-16')
'''
content = self.scraper.players(season, cs_only=1)
players = self.parser.players(content)
currids = set([int(p.get('PERSON_ID', 0)) for p in players])
allids = set(
self.db.select_list('SELECT nbacom_player_id from players'))
missing = currids - allids
if missing:
np = [
self.parser.player_info(self.scraper.player_info(pid, season))
for pid in missing
]
if self.insert_db:
self.db.insert_players(np)
return np
else:
return None
def player_gamelogs(self, season, date_from=None, date_to=None):
'''
Fetches player_gamelogs and updates player_gamelogs table
Arguments:
season: str in YYYY-YY format (2015-16)
date_from: str in YYYY-mm-dd format
date_to: str in YYYY-mm-dd format
insert_db: add list to database
Returns:
players (list): player dictionary of stats + dfs points
Examples:
a = NBAComAgent()
np = a.player_gamelogs(season='2015-16', date_from='2016-03-01', date_to='2016-03-08', insert_db=True)
'''
# mpgl -> list of game_ids for which there are no player gamelogs
# filter gamelogs to those from missing game_ids
pgl = self.parser.season_gamelogs(
self.scraper.season_gamelogs(season, 'P'), 'P')
mpgl = self.db.missing_pgl()
if pgl and mpgl:
pgl = [gl for gl in pgl if gl.get('GAME_ID', None) in mpgl]
# now make sure you have no new players
currids = set([int(p.get('PERSON_ID', 0)) for p in pgl])
allids = set(
self.db.select_list('SELECT nbacom_player_id from players'))
if self.insert_db:
self.db.insert_players([
self.parser.player_info(
self.scraper.player_info(pid, season))
for pid in currids - allids
])
self.db.insert_player_gamelogs(pgl)
return pgl
else:
return None
def playerstats(self,
season,
date_from=None,
date_to=None,
all_missing=False):
'''
Fetches playerstats and updates player_gamelogs table
Arguments:
season: str in YYYY-YY format (2015-16)
date_from: str in YYYY-mm-dd format
date_to: str in YYYY-mm-dd format
all_missing: boolean
Returns:
players (list): player dictionary of stats + dfs points
Examples:
a = NBAComAgent()
np = a.playerstats(season='2015-16', date_from='2016-03-01', date_to='2016-03-08')
'''
if date_from and date_to:
ps_base = self.parser.playerstats(
self.scraper.playerstats(season,
DateFrom=date_from,
DateTo=date_to))
ps_advanced = self.parser.playerstats(
self.scraper.playerstats(season,
DateFrom=date_from,
DateTo=date_to,
MeasureType='Advanced'))
ps = [
self._merge(dict(), [psb, psadv])
for psb, psadv in zip(ps_base, ps_advanced)
]
if self.insert_db:
self.db.insert_playerstats(ps, as_of=date_to)
return ps
elif all_missing:
pstats = {}
start = datetostr(d=season_start(season), site='nba')
for day in self.db.select_list(
'SELECT game_date FROM missing_playerstats'):
daystr = datetostr(day, 'nba')
ps_base = self.parser.playerstats(
self.scraper.playerstats(season,
DateFrom=start,
DateTo=daystr))
ps_advanced = self.parser.playerstats(
self.scraper.playerstats(season,
DateFrom=start,
DateTo=daystr,
MeasureType='Advanced'))
ps = [
self._merge(dict(), [psb, psadv])
for psb, psadv in zip(ps_base, ps_advanced)
]
pstats[daystr] = ps
if self.insert_db:
self.db.insert_playerstats(ps, as_of=daystr)
return pstats
else:
raise ValueError(
'need to specify dates or set all_missing to true')
def scoreboards(self, season_start, season_end):
'''
Downloads and parses range of scoreboards
Arguments:
season_start (str): in %Y-%m-%d format
season_end (str): in %Y-%m-%d format
Returns:
scoreboards (list): scoreboard dicts
Examples:
a = NBAComAgent()
sb = a.scoreboards(season_start='2015-10-27', season_end='2016-04-15')
'''
scoreboards = []
for day in reversed(date_list(season_end, season_start)):
game_date = dt.datetime.strftime(day, '%Y-%m-%d')
scoreboard_json = self.scraper.scoreboard(game_date=game_date)
scoreboard = self.parser.scoreboard(scoreboard_json,
game_date=game_date)
scoreboards.append(scoreboard)
if self.insert_db:
self.db.insert_scoreboards(scoreboards)
return scoreboards
def team_gamelogs(self, season, date_from=None, date_to=None):
'''
Fetches team_gamelogs and updates cs_team_gamelogs table
Arguments:
season (str): in YYYY-YY format (2015-16)
Returns:
team_gl (list): player dictionary of stats
Examples:
a = NBAComAgent()
tgl = a.team_gamelogs(season='2015-16', date_from='2016-03-01', date_to='2016-03-08', insert_db=True)
'''
content = self.scraper.season_gamelogs(season=season,
player_or_team='T')
tgl = self.parser.season_gamelogs(content, 'T')
mtgl = self.db.missing_tgl()
if tgl and mtgl:
toins = [gl for gl in tgl if gl.get('GAME_ID', None) in mtgl]
if self.insert_db:
self.db.insert_team_gamelogs(toins)
return toins
else:
logging.error('no team gamelogs to insert')
def teamstats(self,
season,
date_from=None,
date_to=None,
all_missing=False):
'''
Fetches teamstats and updates database table
Arguments:
season (str): in YYYY-YY format (2015-16)
date_from (str): in %Y-%m-%d format, default beginning of season
date_from (str): in %Y-%m-%d format, default yesterday
all_missing: boolean
Returns:
list of team dictionary of basic and advanced stats
Examples:
a = NBAComAgent()
ps = a.teamstats(season='2015-16', date_from='2016-03-01', date_to='2016-03-08')
ps = a.teamstats(season='2015-16', all_missing=True)
'''
if date_from and date_to:
ts_base = self.parser.teamstats(
self.scraper.teamstats(season,
DateFrom=date_from,
DateTo=date_to))
ts_advanced = self.parser.teamstats(
self.scraper.teamstats(season,
DateFrom=date_from,
DateTo=date_to,
MeasureType='Advanced'))
ts = [
self._merge(dict(), [psb, psadv])
for psb, psadv in zip(ts_base, ts_advanced)
]
if self.insert_db:
self.db.insert_teamstats(ts, as_of=date_to)
return ts
elif all_missing:
tstats = {}
start = datetostr(d=season_start(season), site='nba')
for day in self.db.select_list(
'SELECT game_date FROM missing_teamstats'):
daystr = datetostr(day, 'nba')
ts_base = self.parser.teamstats(
self.scraper.teamstats(season,
DateFrom=start,
DateTo=daystr))
ts_advanced = self.parser.teamstats(
self.scraper.teamstats(season,
DateFrom=start,
DateTo=daystr,
MeasureType='Advanced'))
ts = [
self._merge(dict(), [psb, psadv])
for psb, psadv in zip(ts_base, ts_advanced)
]
tstats[daystr] = ts
if self.insert_db:
self.db.insert_teamstats(ts, as_of=daystr)
logging.info('teamstats: completed {}'.format(daystr))
else:
logging.error('did not insert: {}'.format(ts))
return tstats
else:
raise ValueError(
'need to specify dates or set all_missing to true')
def team_opponent_dashboards(self,
season,
date_from=None,
date_to=None,
all_missing=False):
'''
Downloads and parses range of team_opponents
Arguments:
season (str): in YYYY-YY format
date_from (str): in %Y-%m-%d format, default is actual start of season
date_to (str): in %Y-%m-%d format, default is actual end of season
all_missing (bool): get all missing dashboards
Returns:
topp (list): dicts
Examples:
a = NBAComAgent()
topp = a.team_opponent_dashboards('2014-15')
'''
if date_from and date_to:
content = self.scraper.team_opponent_dashboard(season,
DateFrom=date_from,
DateTo=date_to)
topp = self.parser.team_opponent_dashboard(content)
if self.insert_db:
self.db.insert_team_opponent_dashboards(topp, as_of=date_to)
return topp
elif all_missing:
topps = {}
start = datetostr(d=season_start(season), site='nba')
for day in self.db.select_list(
'SELECT * FROM missing_team_opponent_dashboard'):
daystr = datetostr(day, 'nba')
content = self.scraper.team_opponent_dashboard(season,
DateFrom=start,
DateTo=daystr)
topp = self.parser.team_opponent_dashboard(content)
if self.insert_db:
self.db.insert_team_opponent_dashboards(topp, as_of=daystr)
topps[daystr] = topp
return topps
else:
raise ValueError(
'need to specify dates or set all_missing to true')
def update_player_positions(self):
'''
Trying to make sure all position data is current
Only info in nba.com is PLAYER key, this is only Guard, etc.
Unclear where the PG, etc. comes from
TODO: this is not functional yet
'''
if not self.db:
raise ValueError('need database connection to update players')
q = """SELECT nbacom_player_id FROM stats.players2 WHERE nbacom_position IS NULL or nbacom_position = ''"""
uq = """UPDATE stats.players2 SET nbacom_position = '{}' WHERE nbacom_player_id = {}"""
for pid in self.db.select_list(q):
logging.info('getting {}'.format(pid))
pinfo = self.parser.player_info(
self.scraper.player_info(pid, '2015-16'))
if pinfo.get('POSITION'):
self.db.update(uq.format(pinfo.get('POSITION'), pid))
logging.info('inserted {}'.format(
pinfo.get('DISPLAY_FIRST_LAST')))
def setUp(self):
logging.getLogger(__name__).addHandler(logging.NullHandler())
self.nbs = NBAComScraper()
self.nbp = NBAComParser()
class NBAComParser_test(unittest.TestCase):
def setUp(self):
logging.getLogger(__name__).addHandler(logging.NullHandler())
self.nbs = NBAComScraper()
self.nbp = NBAComParser()
def _get_from_file(self, fn):
# content is none if file does not exist
content = None
# test if file exists, if so, slurp it into content
if os.path.isfile(fn):
try:
with open(fn) as x:
content = x.read()
except:
logging.exception('could not read from file ' + fn)
return content
# Can try to access from file instead of using scraper
def _player_gamelogs(self,fn='player_gamelogs.json'):
return self._get_from_file(fn)
def _player_info(self,fn='player_info.json'):
return self._get_from_file(fn)
def _players(self,fn='players.json'):
return self._get_from_file(fn)
def _playerstats(self,fn='player_stats.json'):
return self._get_from_file(fn)
def _scoreboard(self,fn='scoreboard.json'):
return self._get_from_file(fn)
def _team_gamelogs(self,fn='team_game_logs.json'):
return self._get_from_file(fn)
# START tests
def test_boxscore(self):
content = self.nbs.boxscore('0021500001', '2015-16')
players, teams, starter_bench = self.nbp.boxscore(content)
self.assertIsInstance(players, list)
self.assertIsInstance(teams, list)
self.assertIsInstance(players[0], dict)
self.assertIn('MIN_PLAYED', players[0], "players should have min_played")
self.assertIn('MIN_PLAYED', players[8], "players should have min_played")
self.assertIn('MIN', teams[0], "teams should have min")
self.assertIn('MIN', teams[1], "teams should have min")
def test_one_player_gamelogs(self):
content = self.nbs.one_player_gamelogs('203083', '2015-16')
gls = self.nbp.one_player_gamelogs(content)
self.assertIsInstance(gls, list)
self.assertIsInstance(gls[0], dict)
def test_one_team_gamelogs(self):
team_id = '1610612765'
season = '2015-16'
content = self.nbs.one_team_gamelogs(team_id, season)
gls = self.nbp.one_team_gamelogs(content)
self.assertIsInstance(gls, list)
self.assertIsInstance(gls[0], dict)
def test_player_info(self):
content = self.nbs.player_info('201939', '2015-16')
pinfo = self.nbp.player_info(content)
self.assertIsInstance(pinfo, dict)
def test_players(self):
content = self.nbs.players(season='2015-16', IsOnlyCurrentSeason='1')
ps = self.nbp.players(content)
self.assertIsInstance(ps, list)
self.assertIsNotNone(ps[0], 'ps should not be none')
def test_playerstats(self):
statdate = '2016-01-20'
content = self.nbs.playerstats('2015-16')
ps = self.nbp.playerstats(content, statdate)
self.assertIsInstance(ps, list)
self.assertEqual(ps[0].get('STATDATE'), statdate)
def test_season_gamelogs(self):
team_content = self.nbs.season_gamelogs('2015-16', 'T')
player_content = self.nbs.season_gamelogs('2015-16', 'P')
team_gl = self.nbp.season_gamelogs(team_content, 'T')
player_gl = self.nbp.season_gamelogs(player_content, 'P')
self.assertIsInstance(player_gl, list)
self.assertIsInstance(team_gl, list)
self.assertIn('GAME_ID', player_gl[0], "players should have game_id")
self.assertIn('GAME_ID', team_gl[0], "teams should have game_id")
def test_team_dashboard(self):
#dashboard = {'parameters': [], 'overall': [], 'location': [], 'days_rest': [], 'wins_losses': []}
team_id = '1610612765'
season = '2015-16'
content = self.nbs.team_dashboard(team_id, season)
td = self.nbp.team_dashboard(content)
self.assertIsInstance(td, dict)
self.assertIn('overall', td, "dashboard has overall")
def test_team_opponent_dashboard(self):
season = '2015-16'
content = self.nbs.team_opponent_dashboard(season)
td = self.nbp.team_opponent_dashboard(content)
self.assertIsInstance(td, list)
self.assertIsNotNone(td[0], 'td should not be None')
def test_teams(self):
content = self.nbs.teams()
tms = self.nbp.teams(content)
self.assertIsInstance(tms, dict)
self.assertIsNotNone(tms, 'tms should not be None')
def test_teamstats(self):
season = '2015-16'
content = self.nbs.teamstats(season)
ts = self.nbp.teamstats(content)
self.assertIsInstance(ts, list)
self.assertIsNotNone(ts[0], 'ts should not be None')
def load_data(per_mode, playerpool_size, thresh_gp, thresh_min, lastn=0,
season_code=None, sortcol=None, fn=None):
'''
Loads data from nba.com or csv file
Args:
per_mode (str): 'Totals', 'PerGame', 'Per48'
playerpool_size (int): number of players in pool
thresh_gp (int): minimum number of games played
thresh_min (int): minimum number of minutes played
lastn (int): last number of games, default 0
season_code (str): '2017-18', etc., default None
sortcol (str): sort, default None
fn (str): filename of csv, default None
Returns:
DataFrame
'''
if fn:
df = pd.read_csv(fn)
else:
scraper = NBAComScraper(cache_name='fbasim')
parser = NBAComParser()
if not season_code:
season_code = current_season_code()
content = scraper.playerstats(season_code, per_mode, lastn)
df = pd.DataFrame(parser.playerstats(content, per_mode))
df['MIN'] = df['MIN'].astype(int)
df = df.rename(index=str, columns={"TEAM_ABBREVIATION": "TEAM"})
# account for gp & minutes thresholds
if thresh_gp and thresh_min:
crit = (df.GP >= thresh_gp) & (df.MIN >= thresh_min)
nthresh = len(df[crit])
if nthresh > playerpool_size:
df = df[crit][0:playerpool_size]
else:
df = df[crit]
elif thresh_gp:
crit = df.GP >= thresh_gp
nthresh = len(df[crit])
if nthresh > playerpool_size:
df = df[0:playerpool_size]
else:
df = df[crit]
elif thresh_min:
crit = df.MIN >= thresh_min
nthresh = len(df[crit])
if nthresh > playerpool_size:
df = df[0:playerpool_size]
else:
df = df[crit]
# need index for joins in the sim
df.set_index('PLAYER_ID')
if sortcol:
return df.sort_values(sortcol, ascending=False)
else:
return df
