def player_game_index_data(request):
RecentGame = namedtuple('RecentGame', [
'game_id', 'game_type_cd', 'winner', 'game_create_dt', 'game_epoch',
'game_fuzzy', 'server_id', 'server_name', 'map_id', 'map_name', 'team',
'rank', 'elo_delta'
])
player_id = request.matchdict['player_id']
if request.params.has_key('page'):
current_page = request.params['page']
else:
current_page = 1
try:
player = DBSession.query(Player).filter_by(player_id=player_id).\
filter(Player.active_ind == True).one()
games_q = DBSession.query(Game.game_id, Game.game_type_cd, Game.winner,
Game.create_dt, Server.server_id,
Server.name.label('server_name'), Map.map_id,
Map.name.label('map_name'), PlayerGameStat.team,
PlayerGameStat.rank, PlayerGameStat.elo_delta).\
filter(PlayerGameStat.game_id == Game.game_id).\
filter(PlayerGameStat.player_id == player_id).\
filter(Game.server_id == Server.server_id).\
filter(Game.map_id == Map.map_id).\
order_by(Game.game_id.desc())
games = Page(games_q, current_page, items_per_page=10, url=page_url)
# replace the items in the canned pagination class with more rich ones
games.items = [
RecentGame(game_id=row.game_id,
game_type_cd=row.game_type_cd,
winner=row.winner,
game_create_dt=row.create_dt,
game_epoch=timegm(row.create_dt.timetuple()),
game_fuzzy=pretty_date(row.create_dt),
server_id=row.server_id,
server_name=row.server_name,
map_id=row.map_id,
map_name=row.map_name,
team=row.team,
rank=row.rank,
elo_delta=row.elo_delta) for row in games.items
]
except Exception as e:
player = None
games = None
return {
'player_id': player.player_id,
'player': player,
'games': games,
}
def player_game_index_data(request):
RecentGame = namedtuple('RecentGame', ['game_id', 'game_type_cd', 'winner',
'game_create_dt', 'game_epoch', 'game_fuzzy', 'server_id',
'server_name', 'map_id', 'map_name', 'team', 'rank', 'elo_delta'])
player_id = request.matchdict['player_id']
if request.params.has_key('page'):
current_page = request.params['page']
else:
current_page = 1
try:
player = DBSession.query(Player).filter_by(player_id=player_id).\
filter(Player.active_ind == True).one()
games_q = DBSession.query(Game.game_id, Game.game_type_cd, Game.winner,
Game.create_dt, Server.server_id,
Server.name.label('server_name'), Map.map_id,
Map.name.label('map_name'), PlayerGameStat.team,
PlayerGameStat.rank, PlayerGameStat.elo_delta).\
filter(PlayerGameStat.game_id == Game.game_id).\
filter(PlayerGameStat.player_id == player_id).\
filter(Game.server_id == Server.server_id).\
filter(Game.map_id == Map.map_id).\
order_by(Game.game_id.desc())
games = Page(games_q, current_page, items_per_page=10, url=page_url)
# replace the items in the canned pagination class with more rich ones
games.items = [RecentGame(
game_id = row.game_id,
game_type_cd = row.game_type_cd,
winner = row.winner,
game_create_dt = row.create_dt,
game_epoch = timegm(row.create_dt.timetuple()),
game_fuzzy = pretty_date(row.create_dt),
server_id = row.server_id,
server_name = row.server_name,
map_id = row.map_id,
map_name = row.map_name,
team = row.team,
rank = row.rank,
elo_delta = row.elo_delta
) for row in games.items]
except Exception as e:
player = None
games = None
return {
'player_id':player.player_id,
'player':player,
'games':games,
}
def __init__(self, row):
self.fastest_cap = row.fastest_cap
self.create_dt = row.create_dt
self.create_dt_epoch = timegm(row.create_dt.timetuple())
self.create_dt_fuzzy = pretty_date(row.create_dt)
self.player_id = row.player_id
self.game_id = row.game_id
self.map_id = row.map_id
self.map_name = row.map_name
self.server_id = row.server_id
self.server_name = row.server_name
def __init__(self, row):
self.fastest_cap = row.fastest_cap
self.create_dt = row.create_dt
self.create_dt_epoch = timegm(row.create_dt.timetuple())
self.create_dt_fuzzy = pretty_date(row.create_dt)
self.player_id = row.player_id
self.player_nick = row.player_nick
self.player_nick_stripped = strip_colors(row.player_nick)
self.player_nick_html = html_colors(row.player_nick)
self.game_id = row.game_id
self.server_id = row.server_id
self.server_name = row.server_name
def __init__(self, row):
self.fastest_cap = row.fastest_cap
self.create_dt = row.create_dt
self.create_dt_epoch = timegm(row.create_dt.timetuple())
self.create_dt_fuzzy = pretty_date(row.create_dt)
self.player_id = row.player_id
self.player_nick = row.player_nick
self.player_nick_stripped = strip_colors(row.player_nick)
self.player_nick_html = html_colors(row.player_nick)
self.game_id = row.game_id
self.server_id = row.server_id
self.server_name = row.server_name
def __init__(self, row):
self.game_id = row.game_id
self.game_type_cd = row.game_type_cd
self.game_type_descr = row.game_type_descr
self.winner = row.winner
self.start_dt = row.start_dt
self.fuzzy_date = pretty_date(row.start_dt)
self.epoch = timegm(row.start_dt.timetuple())
self.server_id = row.server_id
self.server_name = row.server_name
self.map_id = row.map_id
self.map_name = row.map_name
self.player_id = row.player_id
self.nick = row.nick
self.nick_html_colors = html_colors(row.nick)
self.rank = row.rank
self.team = row.team
try:
self.elo_delta = row.elo_delta
except:
self.elo_delta = None
def __init__(self, row):
self.game_id = row.game_id
self.game_type_cd = row.game_type_cd
self.game_type_descr = row.game_type_descr
self.winner = row.winner
self.start_dt = row.start_dt
self.fuzzy_date = pretty_date(row.start_dt)
self.epoch = timegm(row.start_dt.timetuple())
self.server_id = row.server_id
self.server_name = row.server_name
self.map_id = row.map_id
self.map_name = row.map_name
self.player_id = row.player_id
self.nick = row.nick
self.nick_html_colors = html_colors(row.nick)
self.rank = row.rank
self.team = row.team
try:
self.elo_delta = row.elo_delta
except:
self.elo_delta = None
def player_captimes_data(request):
player_id = int(request.matchdict['player_id'])
if player_id <= 2:
player_id = -1;
if request.params.has_key('page'):
current_page = request.params['page']
else:
current_page = 1
PlayerCaptimes = namedtuple('PlayerCaptimes', ['fastest_cap',
'create_dt', 'create_dt_epoch', 'create_dt_fuzzy',
'player_id', 'game_id', 'map_id', 'map_name', 'server_id', 'server_name'])
player = DBSession.query(Player).filter_by(player_id=player_id).one()
#pct_q = DBSession.query('fastest_cap', 'create_dt', 'player_id', 'game_id', 'map_id',
# 'map_name', 'server_id', 'server_name').\
# from_statement(
# "SELECT ct.fastest_cap, "
# "ct.create_dt, "
# "ct.player_id, "
# "ct.game_id, "
# "ct.map_id, "
# "m.name map_name, "
# "g.server_id, "
# "s.name server_name "
# "FROM player_map_captimes ct, "
# "games g, "
# "maps m, "
# "servers s "
# "WHERE ct.player_id = :player_id "
# "AND g.game_id = ct.game_id "
# "AND g.server_id = s.server_id "
# "AND m.map_id = ct.map_id "
# #"ORDER BY ct.fastest_cap "
# "ORDER BY ct.create_dt desc"
# ).params(player_id=player_id)
try:
pct_q = DBSession.query(PlayerCaptime.fastest_cap, PlayerCaptime.create_dt,
PlayerCaptime.player_id, PlayerCaptime.game_id, PlayerCaptime.map_id,
Map.name.label('map_name'), Game.server_id, Server.name.label('server_name')).\
filter(PlayerCaptime.player_id==player_id).\
filter(PlayerCaptime.game_id==Game.game_id).\
filter(PlayerCaptime.map_id==Map.map_id).\
filter(Game.server_id==Server.server_id).\
order_by(expr.desc(PlayerCaptime.create_dt))
player_captimes = Page(pct_q, current_page, items_per_page=20, url=page_url)
# replace the items in the canned pagination class with more rich ones
player_captimes.items = [PlayerCaptimes(
fastest_cap=row.fastest_cap,
create_dt=row.create_dt,
create_dt_epoch=timegm(row.create_dt.timetuple()),
create_dt_fuzzy=pretty_date(row.create_dt),
player_id=row.player_id,
game_id=row.game_id,
map_id=row.map_id,
map_name=row.map_name,
server_id=row.server_id,
server_name=row.server_name
) for row in player_captimes.items]
except Exception as e:
player = None
player_captimes = None
return {
'player_id':player_id,
'player':player,
'captimes':player_captimes,
#'player_url':request.route_path('player_info', id=player_id),
}
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 fuzzy_date(self):
return pretty_date(self.create_dt)
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 player_captimes_data(request):
player_id = int(request.matchdict['player_id'])
if player_id <= 2:
player_id = -1
if request.params.has_key('page'):
current_page = request.params['page']
else:
current_page = 1
PlayerCaptimes = namedtuple('PlayerCaptimes', [
'fastest_cap', 'create_dt', 'create_dt_epoch', 'create_dt_fuzzy',
'player_id', 'game_id', 'map_id', 'map_name', 'server_id',
'server_name'
])
player = DBSession.query(Player).filter_by(player_id=player_id).one()
#pct_q = DBSession.query('fastest_cap', 'create_dt', 'player_id', 'game_id', 'map_id',
# 'map_name', 'server_id', 'server_name').\
# from_statement(
# "SELECT ct.fastest_cap, "
# "ct.create_dt, "
# "ct.player_id, "
# "ct.game_id, "
# "ct.map_id, "
# "m.name map_name, "
# "g.server_id, "
# "s.name server_name "
# "FROM player_map_captimes ct, "
# "games g, "
# "maps m, "
# "servers s "
# "WHERE ct.player_id = :player_id "
# "AND g.game_id = ct.game_id "
# "AND g.server_id = s.server_id "
# "AND m.map_id = ct.map_id "
# #"ORDER BY ct.fastest_cap "
# "ORDER BY ct.create_dt desc"
# ).params(player_id=player_id)
try:
pct_q = DBSession.query(PlayerCaptime.fastest_cap, PlayerCaptime.create_dt,
PlayerCaptime.player_id, PlayerCaptime.game_id, PlayerCaptime.map_id,
Map.name.label('map_name'), Game.server_id, Server.name.label('server_name')).\
filter(PlayerCaptime.player_id==player_id).\
filter(PlayerCaptime.game_id==Game.game_id).\
filter(PlayerCaptime.map_id==Map.map_id).\
filter(Game.server_id==Server.server_id).\
order_by(expr.desc(PlayerCaptime.create_dt))
player_captimes = Page(pct_q,
current_page,
items_per_page=20,
url=page_url)
# replace the items in the canned pagination class with more rich ones
player_captimes.items = [
PlayerCaptimes(fastest_cap=row.fastest_cap,
create_dt=row.create_dt,
create_dt_epoch=timegm(row.create_dt.timetuple()),
create_dt_fuzzy=pretty_date(row.create_dt),
player_id=row.player_id,
game_id=row.game_id,
map_id=row.map_id,
map_name=row.map_name,
server_id=row.server_id,
server_name=row.server_name)
for row in player_captimes.items
]
except Exception as e:
player = None
player_captimes = None
return {
'player_id': player_id,
'player': player,
'captimes': player_captimes,
#'player_url':request.route_path('player_info', id=player_id),
}
def joined_pretty_date(self):
return pretty_date(self.create_dt)
def fuzzy_date(self):
return pretty_date(self.start_dt)
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_pickups (ctf only)
- total_captures (ctf only)
- cap_ratio (ctf only)
- total_carrier_frags (ctf only)
- game_type_cd
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_pickups', 'total_captures', 'cap_ratio', 'total_carrier_frags',
'game_type_cd'
])
raw_stats = DBSession.query('game_type_cd', 'total_kills',
'total_deaths', 'last_played', 'total_playing_time',
'total_pickups', 'total_captures', 'total_carrier_frags').\
from_statement(
"SELECT g.game_type_cd, "
"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, "
"player_game_stats pgs "
"WHERE g.game_id = pgs.game_id "
"AND pgs.player_id = :player_id "
"GROUP BY g.game_type_cd "
).params(player_id=player_id).all()
# to be indexed by game_type_cd
overall_stats = {}
# sums for the "overall" game type (which is fake)
overall_kills = 0
overall_deaths = 0
overall_last_played = None
overall_playing_time = datetime.timedelta(seconds=0)
overall_carrier_frags = 0
for row in raw_stats:
# running totals or mins
overall_kills += row.total_kills or 0
overall_deaths += row.total_deaths or 0
if overall_last_played is None or row.last_played > overall_last_played:
overall_last_played = row.last_played
overall_playing_time += row.total_playing_time
# 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
overall_carrier_frags += row.total_carrier_frags or 0
# 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_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)
overall_stats[row.game_type_cd] = os
# and lastly, the overall stuff
try:
overall_k_d_ratio = float(overall_kills) / overall_deaths
except:
overall_k_d_ratio = None
os = OverallStats(total_kills=overall_kills,
total_deaths=overall_deaths,
k_d_ratio=overall_k_d_ratio,
last_played=overall_last_played,
last_played_epoch=timegm(
overall_last_played.timetuple()),
last_played_fuzzy=pretty_date(overall_last_played),
total_playing_time=overall_playing_time,
total_pickups=None,
total_captures=None,
cap_ratio=None,
total_carrier_frags=overall_carrier_frags,
game_type_cd='overall')
overall_stats['overall'] = os
return overall_stats
def joined_pretty_date(self):
return pretty_date(self.create_dt)
def fuzzy_date(self):
return pretty_date(self.start_dt)
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_pickups (ctf only)
- total_captures (ctf only)
- cap_ratio (ctf only)
- total_carrier_frags (ctf only)
- game_type_cd
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_pickups', 'total_captures', 'cap_ratio',
'total_carrier_frags', 'game_type_cd'])
raw_stats = DBSession.query('game_type_cd', 'total_kills',
'total_deaths', 'last_played', 'total_playing_time',
'total_pickups', 'total_captures', 'total_carrier_frags').\
from_statement(
"SELECT g.game_type_cd, "
"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, "
"player_game_stats pgs "
"WHERE g.game_id = pgs.game_id "
"AND pgs.player_id = :player_id "
"GROUP BY g.game_type_cd "
).params(player_id=player_id).all()
# to be indexed by game_type_cd
overall_stats = {}
# sums for the "overall" game type (which is fake)
overall_kills = 0
overall_deaths = 0
overall_last_played = None
overall_playing_time = datetime.timedelta(seconds=0)
overall_carrier_frags = 0
for row in raw_stats:
# running totals or mins
overall_kills += row.total_kills or 0
overall_deaths += row.total_deaths or 0
if overall_last_played is None or row.last_played > overall_last_played:
overall_last_played = row.last_played
overall_playing_time += row.total_playing_time
# 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
overall_carrier_frags += row.total_carrier_frags or 0
# 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_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)
overall_stats[row.game_type_cd] = os
# and lastly, the overall stuff
try:
overall_k_d_ratio = float(overall_kills)/overall_deaths
except:
overall_k_d_ratio = None
os = OverallStats(total_kills=overall_kills,
total_deaths=overall_deaths,
k_d_ratio=overall_k_d_ratio,
last_played=overall_last_played,
last_played_epoch=timegm(overall_last_played.timetuple()),
last_played_fuzzy=pretty_date(overall_last_played),
total_playing_time=overall_playing_time,
total_pickups=None,
total_captures=None,
cap_ratio=None,
total_carrier_frags=overall_carrier_frags,
game_type_cd='overall')
overall_stats['overall'] = os
return overall_stats
