def player_hashkey_info_text(request):
"""
Provides detailed information on a specific player. Plain text.
"""
# UTC epoch
now = timegm(datetime.datetime.utcnow().timetuple())
# All player_info fields are converted into JSON-formattable dictionaries
player_info = player_hashkey_info_data(request)
# gather all of the data up into aggregate structures
player = player_info['player']
games_played = player_info['games_played']
overall_stats = player_info['overall_stats']
elos = player_info['elos']
ranks = player_info['ranks']
fav_maps = player_info['fav_maps']
most_recent_game = player_info['most_recent_game']
# one-offs for things needing conversion for text/plain
player_joined = timegm(player.create_dt.timetuple())
player_joined_dt = player.create_dt
alivetime = int(
datetime_seconds(overall_stats['overall'].total_playing_time))
# this is a plain text response, if we don't do this here then
# Pyramid will assume html
request.response.content_type = 'text/plain'
return {
'version': 1,
'now': now,
'player': player,
'hashkey': player_info['hashkey'],
'player_joined': player_joined,
'player_joined_dt': player_joined_dt,
'games_played': games_played,
'overall_stats': overall_stats,
'alivetime': alivetime,
'fav_maps': fav_maps,
'elos': elos,
'ranks': ranks,
'most_recent_game': most_recent_game,
}
def player_hashkey_info_text(request):
"""
Provides detailed information on a specific player. Plain text.
"""
# UTC epoch
now = timegm(datetime.datetime.utcnow().timetuple())
# All player_info fields are converted into JSON-formattable dictionaries
player_info = player_hashkey_info_data(request)
# gather all of the data up into aggregate structures
player = player_info['player']
games_played = player_info['games_played']
overall_stats = player_info['overall_stats']
elos = player_info['elos']
ranks = player_info['ranks']
fav_maps = player_info['fav_maps']
most_recent_game = player_info['most_recent_game']
# one-offs for things needing conversion for text/plain
player_joined = timegm(player.create_dt.timetuple())
player_joined_dt = player.create_dt
alivetime = int(datetime_seconds(overall_stats['overall'].total_playing_time))
# this is a plain text response, if we don't do this here then
# Pyramid will assume html
request.response.content_type = 'text/plain'
return {
'version': 1,
'now': now,
'player': player,
'hashkey': player_info['hashkey'],
'player_joined': player_joined,
'player_joined_dt': player_joined_dt,
'games_played': games_played,
'overall_stats': overall_stats,
'alivetime': alivetime,
'fav_maps': fav_maps,
'elos': elos,
'ranks': ranks,
'most_recent_game': most_recent_game,
}
def player_hashkey_info_text(request):
"""
Provides detailed information on a specific player. Plain text.
"""
# UTC epoch
now = timegm(datetime.datetime.utcnow().timetuple())
# All player_info fields are converted into JSON-formattable dictionaries
player_info = player_hashkey_info_data(request)
# gather all of the data up into aggregate structures
player = player_info["player"]
games_played = player_info["games_played"]
overall_stats = player_info["overall_stats"]
elos = player_info["elos"]
ranks = player_info["ranks"]
fav_maps = player_info["fav_maps"]
most_recent_game = player_info["most_recent_game"]
# one-offs for things needing conversion for text/plain
player_joined = timegm(player.create_dt.timetuple())
player_joined_dt = player.create_dt
alivetime = int(datetime_seconds(overall_stats["overall"].total_playing_time))
# this is a plain text response, if we don't do this here then
# Pyramid will assume html
request.response.content_type = "text/plain"
return {
"version": 1,
"now": now,
"player": player,
"hashkey": player_info["hashkey"],
"player_joined": player_joined,
"player_joined_dt": player_joined_dt,
"games_played": games_played,
"overall_stats": overall_stats,
"alivetime": alivetime,
"fav_maps": fav_maps,
"elos": elos,
"ranks": ranks,
"most_recent_game": most_recent_game,
}
def get_overall_stats(player_id):
"""
Provides a breakdown of stats by gametype played by player_id.
Returns a dictionary of namedtuples with the following members:
- total_kills
- total_deaths
- k_d_ratio
- last_played (last time the player played the game type)
- last_played_epoch (same as above, but in seconds since epoch)
- last_played_fuzzy (same as above, but in relative date)
- total_playing_time (total amount of time played the game type)
- total_playing_time_secs (same as the above, but in seconds)
- total_pickups (ctf only)
- total_captures (ctf only)
- cap_ratio (ctf only)
- total_carrier_frags (ctf only)
- game_type_cd
- game_type_descr
The key to the dictionary is the game type code. There is also an
"overall" game_type_cd which sums the totals and computes the total ratios.
"""
OverallStats = namedtuple('OverallStats', ['total_kills', 'total_deaths',
'k_d_ratio', 'last_played', 'last_played_epoch', 'last_played_fuzzy',
'total_playing_time', 'total_playing_time_secs', 'total_pickups', 'total_captures', 'cap_ratio',
'total_carrier_frags', 'game_type_cd', 'game_type_descr'])
raw_stats = DBSession.query('game_type_cd', 'game_type_descr',
'total_kills', 'total_deaths', 'last_played', 'total_playing_time',
'total_pickups', 'total_captures', 'total_carrier_frags').\
from_statement(
"SELECT g.game_type_cd, "
"gt.descr game_type_descr, "
"Sum(pgs.kills) total_kills, "
"Sum(pgs.deaths) total_deaths, "
"Max(pgs.create_dt) last_played, "
"Sum(pgs.alivetime) total_playing_time, "
"Sum(pgs.pickups) total_pickups, "
"Sum(pgs.captures) total_captures, "
"Sum(pgs.carrier_frags) total_carrier_frags "
"FROM games g, "
"cd_game_type gt, "
"player_game_stats pgs "
"WHERE g.game_id = pgs.game_id "
"AND g.game_type_cd = gt.game_type_cd "
"AND g.players @> ARRAY[:player_id] "
"AND pgs.player_id = :player_id "
"GROUP BY g.game_type_cd, game_type_descr "
"UNION "
"SELECT 'overall' game_type_cd, "
"'Overall' game_type_descr, "
"Sum(pgs.kills) total_kills, "
"Sum(pgs.deaths) total_deaths, "
"Max(pgs.create_dt) last_played, "
"Sum(pgs.alivetime) total_playing_time, "
"Sum(pgs.pickups) total_pickups, "
"Sum(pgs.captures) total_captures, "
"Sum(pgs.carrier_frags) total_carrier_frags "
"FROM player_game_stats pgs "
"WHERE pgs.player_id = :player_id "
).params(player_id=player_id).all()
# to be indexed by game_type_cd
overall_stats = {}
for row in raw_stats:
# individual gametype ratio calculations
try:
k_d_ratio = float(row.total_kills)/row.total_deaths
except:
k_d_ratio = None
try:
cap_ratio = float(row.total_captures)/row.total_pickups
except:
cap_ratio = None
# everything else is untouched or "raw"
os = OverallStats(total_kills=row.total_kills,
total_deaths=row.total_deaths,
k_d_ratio=k_d_ratio,
last_played=row.last_played,
last_played_epoch=timegm(row.last_played.timetuple()),
last_played_fuzzy=pretty_date(row.last_played),
total_playing_time=row.total_playing_time,
total_playing_time_secs=int(datetime_seconds(row.total_playing_time)),
total_pickups=row.total_pickups,
total_captures=row.total_captures,
cap_ratio=cap_ratio,
total_carrier_frags=row.total_carrier_frags,
game_type_cd=row.game_type_cd,
game_type_descr=row.game_type_descr)
overall_stats[row.game_type_cd] = os
# We have to edit "overall" stats to exclude deaths in CTS.
# Although we still want to record deaths, they shouldn't
# count towards the overall K:D ratio.
if 'cts' in overall_stats:
os = overall_stats['overall']
try:
k_d_ratio = float(os.total_kills)/(os.total_deaths - overall_stats['cts'].total_deaths)
except:
k_d_ratio = None
non_cts_deaths = os.total_deaths - overall_stats['cts'].total_deaths
overall_stats['overall'] = OverallStats(
total_kills = os.total_kills,
total_deaths = non_cts_deaths,
k_d_ratio = k_d_ratio,
last_played = os.last_played,
last_played_epoch = os.last_played_epoch,
last_played_fuzzy = os.last_played_fuzzy,
total_playing_time = os.total_playing_time,
total_playing_time_secs = os.total_playing_time_secs,
total_pickups = os.total_pickups,
total_captures = os.total_captures,
cap_ratio = os.cap_ratio,
total_carrier_frags = os.total_carrier_frags,
game_type_cd = os.game_type_cd,
game_type_descr = os.game_type_descr)
return overall_stats
def get_overall_stats(player_id):
"""
Provides a breakdown of stats by gametype played by player_id.
Returns a dictionary of namedtuples with the following members:
- total_kills
- total_deaths
- k_d_ratio
- last_played (last time the player played the game type)
- last_played_epoch (same as above, but in seconds since epoch)
- last_played_fuzzy (same as above, but in relative date)
- total_playing_time (total amount of time played the game type)
- total_playing_time_secs (same as the above, but in seconds)
- total_pickups (ctf only)
- total_captures (ctf only)
- cap_ratio (ctf only)
- total_carrier_frags (ctf only)
- game_type_cd
- game_type_descr
The key to the dictionary is the game type code. There is also an
"overall" game_type_cd which sums the totals and computes the total ratios.
"""
OverallStats = namedtuple('OverallStats', [
'total_kills', 'total_deaths', 'k_d_ratio', 'last_played',
'last_played_epoch', 'last_played_fuzzy', 'total_playing_time',
'total_playing_time_secs', 'total_pickups', 'total_captures',
'cap_ratio', 'total_carrier_frags', 'game_type_cd', 'game_type_descr'
])
raw_stats = DBSession.query('game_type_cd', 'game_type_descr',
'total_kills', 'total_deaths', 'last_played', 'total_playing_time',
'total_pickups', 'total_captures', 'total_carrier_frags').\
from_statement(
"SELECT g.game_type_cd, "
"gt.descr game_type_descr, "
"Sum(pgs.kills) total_kills, "
"Sum(pgs.deaths) total_deaths, "
"Max(pgs.create_dt) last_played, "
"Sum(pgs.alivetime) total_playing_time, "
"Sum(pgs.pickups) total_pickups, "
"Sum(pgs.captures) total_captures, "
"Sum(pgs.carrier_frags) total_carrier_frags "
"FROM games g, "
"cd_game_type gt, "
"player_game_stats pgs "
"WHERE g.game_id = pgs.game_id "
"AND g.game_type_cd = gt.game_type_cd "
"AND g.players @> ARRAY[:player_id] "
"AND pgs.player_id = :player_id "
"GROUP BY g.game_type_cd, game_type_descr "
"UNION "
"SELECT 'overall' game_type_cd, "
"'Overall' game_type_descr, "
"Sum(pgs.kills) total_kills, "
"Sum(pgs.deaths) total_deaths, "
"Max(pgs.create_dt) last_played, "
"Sum(pgs.alivetime) total_playing_time, "
"Sum(pgs.pickups) total_pickups, "
"Sum(pgs.captures) total_captures, "
"Sum(pgs.carrier_frags) total_carrier_frags "
"FROM player_game_stats pgs "
"WHERE pgs.player_id = :player_id "
).params(player_id=player_id).all()
# to be indexed by game_type_cd
overall_stats = {}
for row in raw_stats:
# individual gametype ratio calculations
try:
k_d_ratio = float(row.total_kills) / row.total_deaths
except:
k_d_ratio = None
try:
cap_ratio = float(row.total_captures) / row.total_pickups
except:
cap_ratio = None
# everything else is untouched or "raw"
os = OverallStats(total_kills=row.total_kills,
total_deaths=row.total_deaths,
k_d_ratio=k_d_ratio,
last_played=row.last_played,
last_played_epoch=timegm(
row.last_played.timetuple()),
last_played_fuzzy=pretty_date(row.last_played),
total_playing_time=row.total_playing_time,
total_playing_time_secs=int(
datetime_seconds(row.total_playing_time)),
total_pickups=row.total_pickups,
total_captures=row.total_captures,
cap_ratio=cap_ratio,
total_carrier_frags=row.total_carrier_frags,
game_type_cd=row.game_type_cd,
game_type_descr=row.game_type_descr)
overall_stats[row.game_type_cd] = os
# We have to edit "overall" stats to exclude deaths in CTS.
# Although we still want to record deaths, they shouldn't
# count towards the overall K:D ratio.
if 'cts' in overall_stats:
os = overall_stats['overall']
try:
k_d_ratio = float(os.total_kills) / (
os.total_deaths - overall_stats['cts'].total_deaths)
except:
k_d_ratio = None
non_cts_deaths = os.total_deaths - overall_stats['cts'].total_deaths
overall_stats['overall'] = OverallStats(
total_kills=os.total_kills,
total_deaths=non_cts_deaths,
k_d_ratio=k_d_ratio,
last_played=os.last_played,
last_played_epoch=os.last_played_epoch,
last_played_fuzzy=os.last_played_fuzzy,
total_playing_time=os.total_playing_time,
total_playing_time_secs=os.total_playing_time_secs,
total_pickups=os.total_pickups,
total_captures=os.total_captures,
cap_ratio=os.cap_ratio,
total_carrier_frags=os.total_carrier_frags,
game_type_cd=os.game_type_cd,
game_type_descr=os.game_type_descr)
return overall_stats
else:
players = DBSession.query(distinct(Player.player_id)).\
filter(Player.player_id == PlayerElo.player_id).\
filter(Player.player_id == PlayerGameStat.player_id).\
filter(PlayerGameStat.create_dt > cutoff_dt).\
filter(Player.nick != None).\
filter(Player.player_id > 2).\
filter(Player.active_ind == True).\
all()
playerdata = PlayerData()
if len(players) > 0:
stop = datetime.now()
td = stop-start
print "Query took %.2f seconds" % (datetime_seconds(td))
print "Creating badges for %d players ..." % len(players)
start = datetime.now()
data_time, render_time = 0,0
for player_id in players:
req.matchdict['id'] = player_id
sstart = datetime.now()
playerdata.get_data(player_id)
sstop = datetime.now()
td = sstop-sstart
data_time += datetime_seconds(td)
sstart = datetime.now()
for sk in skins:
else:
players = DBSession.query(distinct(Player.player_id)).\
filter(Player.player_id == PlayerElo.player_id).\
filter(Player.player_id == PlayerGameStat.player_id).\
filter(PlayerGameStat.create_dt > cutoff_dt).\
filter(Player.nick != None).\
filter(Player.player_id > 2).\
filter(Player.active_ind == True).\
all()
playerdata = PlayerData()
if len(players) > 0:
stop = datetime.now()
td = stop - start
print "Query took %.2f seconds" % (datetime_seconds(td))
print "Creating badges for %d players ..." % len(players)
start = datetime.now()
data_time, render_time = 0, 0
for player_id in players:
req.matchdict['id'] = player_id
sstart = datetime.now()
playerdata.get_data(player_id)
sstop = datetime.now()
td = sstop - sstart
data_time += datetime_seconds(td)
sstart = datetime.now()
for sk in skins:
