import datetime
-import json
import logging
+from calendar import timegm
+from collections import namedtuple
+from urllib import unquote
+
import pyramid.httpexceptions
-import re
import sqlalchemy as sa
+import sqlalchemy.sql.expression as expr
import sqlalchemy.sql.functions as func
-import time
-from calendar import timegm
-from collections import namedtuple
-from pyramid.url import current_route_url
-from sqlalchemy import desc, distinct
-from webhelpers.paginate import Page, PageURL
-from xonstat.models import *
-from xonstat.util import page_url, to_json, pretty_date
+from webhelpers.paginate import Page
+from xonstat.models import DBSession, Server, Map, Game, PlayerWeaponStat, Player, Hashkey
+from xonstat.models import PlayerElo, PlayerCaptime, PlayerMedal, GameType
+from xonstat.models.player import PlayerCapTime
+from xonstat.util import is_cake_day, verify_request
+from xonstat.util import page_url, to_json, pretty_date, datetime_seconds
from xonstat.views.helpers import RecentGame, recent_games_q
log = logging.getLogger(__name__)
filter(sa.not_(Player.nick.like('Anonymous Player%'))).\
order_by(Player.player_id.desc())
- players = Page(player_q, current_page, items_per_page=10, url=page_url)
+ players = Page(player_q, current_page, items_per_page=25, url=page_url)
except Exception as e:
players = None
"g.game_type_cd, "
"CASE "
"WHEN g.winner = pgs.team THEN 1 "
- "WHEN pgs.rank = 1 THEN 1 "
+ "WHEN pgs.scoreboardpos = 1 THEN 1 "
"ELSE 0 "
"END win, "
"CASE "
"WHEN g.winner = pgs.team THEN 0 "
- "WHEN pgs.rank = 1 THEN 0 "
+ "WHEN pgs.scoreboardpos = 1 THEN 0 "
"ELSE 1 "
"END loss "
"FROM games g, "
"player_game_stats pgs "
"WHERE g.game_id = pgs.game_id "
- "AND pgs.player_id = :player_id) win_loss "
+ "AND pgs.player_id = :player_id "
+ "AND g.players @> ARRAY[:player_id]) win_loss "
"GROUP BY game_type_cd "
).params(player_id=player_id).all()
# sort the resulting list by # of games played
games_played = sorted(games_played, key=lambda x:x.games)
games_played.reverse()
+
return games_played
- 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_pickups', 'total_captures', 'cap_ratio',
- 'total_carrier_frags', 'game_type_cd'])
+ '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', 'total_kills',
- 'total_deaths', 'last_played', 'total_playing_time',
+ 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.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 "
+ "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 = {}
- # 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:
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,
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_cd=row.game_type_cd,
+ game_type_descr=row.game_type_descr)
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
+ # 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
"maps m "
"WHERE g.game_id = pgs.game_id "
"AND g.map_id = m.map_id "
+ "AND g.players @> ARRAY[:player_id]"
"AND pgs.player_id = :player_id "
"GROUP BY g.game_type_cd, "
"m.map_id, "
map_id=row.map_id,
times_played=row.times_played,
game_type_cd=row.game_type_cd)
-
+
# if we aren't given a favorite game_type_cd
# then the overall favorite is the one we've
# played the most
The key to the dictionary is the game type code. There is also an
"overall" game_type_cd which is the overall best rank.
- """
+ """
Rank = namedtuple('Rank', ['rank', 'max_rank', 'percentile', 'game_type_cd'])
raw_ranks = DBSession.query("game_type_cd", "rank", "max_rank").\
"from player_ranks "
"group by game_type_cd) overall "
"where pr.game_type_cd = overall.game_type_cd "
+ "and max_rank > 1 "
"and player_id = :player_id "
"order by rank").\
params(player_id=player_id).all()
for row in raw_ranks:
rank = Rank(rank=row.rank,
max_rank=row.max_rank,
- percentile=100 - 100*float(row.rank)/row.max_rank,
+ percentile=100 - 100*float(row.rank-1)/(row.max_rank-1),
game_type_cd=row.game_type_cd)
return elos
-def get_recent_games(player_id):
+def get_recent_games(player_id, limit=10):
"""
Provides a list of recent games for a player. Uses the recent_games_q helper.
"""
# recent games played in descending order
- rgs = recent_games_q(player_id=player_id).limit(10).all()
+ rgs = recent_games_q(player_id=player_id, force_player_id=True).limit(limit).all()
recent_games = [RecentGame(row) for row in rgs]
return recent_games
-def get_recent_weapons(player_id):
- """
- Returns the weapons that have been used in the past 90 days
- and also used in 5 games or more.
- """
- cutoff = datetime.datetime.utcnow() - datetime.timedelta(days=90)
- recent_weapons = []
- for weapon in DBSession.query(PlayerWeaponStat.weapon_cd, func.count()).\
- filter(PlayerWeaponStat.player_id == player_id).\
- filter(PlayerWeaponStat.create_dt > cutoff).\
- group_by(PlayerWeaponStat.weapon_cd).\
- having(func.count() > 4).\
- all():
- recent_weapons.append(weapon[0])
-
- return recent_weapons
-
-
def get_accuracy_stats(player_id, weapon_cd, games):
"""
Provides accuracy for weapon_cd by player_id for the past N games.
# Determine the raw accuracy (hit, fired) numbers for $games games
# This is then enumerated to create parameters for a flot graph
- raw_accs = DBSession.query(PlayerWeaponStat.game_id,
+ raw_accs = DBSession.query(PlayerWeaponStat.game_id,
PlayerWeaponStat.hit, PlayerWeaponStat.fired).\
filter(PlayerWeaponStat.player_id == player_id).\
filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
# Determine the damage efficiency (hit, fired) numbers for $games games
# This is then enumerated to create parameters for a flot graph
- raw_dmgs = DBSession.query(PlayerWeaponStat.game_id,
+ raw_dmgs = DBSession.query(PlayerWeaponStat.game_id,
PlayerWeaponStat.actual, PlayerWeaponStat.hit).\
filter(PlayerWeaponStat.player_id == player_id).\
filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
return (avg, dmgs)
+def get_player_medals(player_id):
+ """Retrieves the list of medals the player has received from tournaments or
+ other contests."""
+ try:
+ medals = DBSession.query(PlayerMedal)\
+ .filter(PlayerMedal.player_id==player_id)\
+ .order_by(PlayerMedal.place)\
+ .order_by(PlayerMedal.create_dt)\
+ .all()
+
+ return medals
+
+ except Exception as e:
+ log.debug(e)
+ return []
+
+
def player_info_data(request):
player_id = int(request.matchdict['id'])
if player_id <= 2:
fav_maps = get_fav_maps(player_id)
elos = get_elos(player_id)
ranks = get_ranks(player_id)
+ medals = get_player_medals(player_id)
recent_games = get_recent_games(player_id)
- recent_weapons = get_recent_weapons(player_id)
+ cake_day = is_cake_day(player.create_dt)
except Exception as e:
- player = None
- games_played = None
- overall_stats = None
- fav_maps = None
- elos = None
- ranks = None
- recent_games = None
- recent_weapons = []
+ raise pyramid.httpexceptions.HTTPNotFound
+
+ ## do not raise application exceptions here (only for debugging)
+ # raise e
return {'player':player,
'games_played':games_played,
'fav_maps':fav_maps,
'elos':elos,
'ranks':ranks,
+ 'medals':medals,
'recent_games':recent_games,
- 'recent_weapons':recent_weapons
+ 'cake_day':cake_day,
}
"""
# All player_info fields are converted into JSON-formattable dictionaries
- player_info = player_info_data(request)
+ player_info = player_info_data(request)
player = player_info['player'].to_dict()
for gt,mapinfo in player_info['fav_maps'].items():
fav_maps[gt] = to_json(mapinfo)
- recent_games = []
- for game in player_info['recent_games']:
- recent_games.append(to_json(game))
-
- #recent_weapons = player_info['recent_weapons']
+ recent_games = [g.to_dict() for g in player_info['recent_games']]
return [{
'player': player,
'elos': elos,
'ranks': ranks,
'recent_games': recent_games,
- # 'recent_weapons': recent_weapons,
- 'recent_weapons': ['not implemented'],
}]
- #return [{'status':'not implemented'}]
def player_game_index_data(request):
- player_id = request.matchdict['player_id']
+ try:
+ player_id = int(request.matchdict['player_id'])
+ except:
+ player_id = -1
+
+ game_type_cd = None
+ game_type_descr = None
+
+ if request.params.has_key('type'):
+ game_type_cd = request.params['type']
+ try:
+ game_type_descr = DBSession.query(GameType.descr).\
+ filter(GameType.game_type_cd == game_type_cd).\
+ one()[0]
+ except Exception as e:
+ pass
+
+ else:
+ game_type_cd = None
+ game_type_descr = None
if request.params.has_key('page'):
current_page = request.params['page']
current_page = 1
try:
- player = DBSession.query(Player).filter_by(player_id=player_id).\
- filter(Player.active_ind == True).one()
+ player = DBSession.query(Player).\
+ filter_by(player_id=player_id).\
+ filter(Player.active_ind == True).\
+ one()
- rgs_q = recent_games_q(player_id=player.player_id)
+ rgs_q = recent_games_q(player_id=player.player_id,
+ force_player_id=True, game_type_cd=game_type_cd)
- games = Page(rgs_q, current_page, items_per_page=10, url=page_url)
+ games = Page(rgs_q, current_page, items_per_page=20, url=page_url)
# replace the items in the canned pagination class with more rich ones
games.items = [RecentGame(row) for row in games.items]
+ games_played = get_games_played(player_id)
+
except Exception as e:
+ raise e
player = None
games = None
+ game_type_cd = None
+ game_type_descr = None
+ games_played = None
return {
'player_id':player.player_id,
'player':player,
'games':games,
+ 'game_type_cd':game_type_cd,
+ 'game_type_descr':game_type_descr,
+ 'games_played':games_played,
}
games = len(accs)
return {
- 'player_id':player_id,
- 'player_url':request.route_url('player_info', id=player_id),
- 'weapon':weapon_cd,
- 'games':games,
- 'avg':avg,
+ 'player_id':player_id,
+ 'player_url':request.route_url('player_info', id=player_id),
+ 'weapon':weapon_cd,
+ 'games':games,
+ 'avg':avg,
'accs':accs
}
games = len(dmgs)
return {
- 'player_id':player_id,
- 'player_url':request.route_url('player_info', id=player_id),
- 'weapon':weapon_cd,
- 'games':games,
- 'avg':avg,
+ 'player_id':player_id,
+ 'player_url':request.route_url('player_info', id=player_id),
+ 'weapon':weapon_cd,
+ 'games':games,
+ 'avg':avg,
'dmgs':dmgs
}
def player_hashkey_info_data(request):
- hashkey = request.matchdict['hashkey']
+ # hashkey = request.matchdict['hashkey']
+
+ # the incoming hashkey is double quoted, and WSGI unquotes once...
+ # hashkey = unquote(hashkey)
+
+ # if using request verification to obtain the hashkey
+ (idfp, status) = verify_request(request)
+ log.debug("d0_blind_id verification: idfp={0} status={1}\n".format(idfp, status))
+
+ log.debug("\n----- BEGIN REQUEST BODY -----\n" + request.body +
+ "----- END REQUEST BODY -----\n\n")
+
+ # if config is to *not* verify requests and we get nothing back, this
+ # query will return nothing and we'll 404.
try:
player = DBSession.query(Player).\
filter(Player.player_id == Hashkey.player_id).\
filter(Player.active_ind == True).\
- filter(Hashkey.hashkey == hashkey).one()
+ filter(Hashkey.hashkey == idfp).one()
- games_played = get_games_played(player.player_id)
- overall_stats = get_overall_stats(player.player_id)
- fav_maps = get_fav_maps(player.player_id)
- elos = get_elos(player.player_id)
- ranks = get_ranks(player.player_id)
+ games_played = get_games_played(player.player_id)
+ overall_stats = get_overall_stats(player.player_id)
+ fav_maps = get_fav_maps(player.player_id)
+ elos = get_elos(player.player_id)
+ ranks = get_ranks(player.player_id)
+ most_recent_game = get_recent_games(player.player_id, 1)[0]
except Exception as e:
- raise e
- player = None
- games_played = None
- overall_stats = None
- fav_maps = None
- elos = None
- ranks = None
+ raise pyramid.httpexceptions.HTTPNotFound
return {'player':player,
+ 'hashkey':idfp,
'games_played':games_played,
'overall_stats':overall_stats,
'fav_maps':fav_maps,
'elos':elos,
'ranks':ranks,
+ 'most_recent_game':most_recent_game,
}
for gt,mapinfo in player_info['fav_maps'].items():
fav_maps[gt] = to_json(mapinfo)
+ most_recent_game = to_json(player_info['most_recent_game'])
+
return [{
'version': 1,
'player': player,
'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_elo_info_data(request):
"""
Provides elo information on a specific player. Raw data is returned.
"""
+ (idfp, status) = verify_request(request)
+ log.debug("d0_blind_id verification: idfp={0} status={1}\n".format(idfp, status))
+
+ log.debug("\n----- BEGIN REQUEST BODY -----\n" + request.body +
+ "----- END REQUEST BODY -----\n\n")
+
hashkey = request.matchdict['hashkey']
+
+ # the incoming hashkey is double quoted, and WSGI unquotes once...
+ hashkey = unquote(hashkey)
+
try:
player = DBSession.query(Player).\
filter(Player.player_id == Hashkey.player_id).\
log.debug(e)
raise pyramid.httpexceptions.HTTPNotFound
- return {'elos':elos}
+ return {
+ 'hashkey':hashkey,
+ 'player':player,
+ 'elos':elos,
+ }
def player_elo_info_json(request):
"""
elo_info = player_elo_info_data(request)
+ player = player_info['player'].to_dict()
+
elos = {}
for gt, elo in elo_info['elos'].items():
elos[gt] = to_json(elo.to_dict())
return [{
'version': 1,
+ 'player': player,
'elos': elos,
}]
+
+
+def player_elo_info_text(request):
+ """
+ Provides elo 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
+ elo_info = player_elo_info_data(request)
+
+ # 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,
+ 'hashkey': elo_info['hashkey'],
+ 'player': elo_info['player'],
+ 'elos': elo_info['elos'],
+ }
+
+
+def player_captimes_data(request):
+ player_id = int(request.matchdict['player_id'])
+ if player_id <= 2:
+ player_id = -1;
+
+ page = request.params.get("page", 1)
+
+ sort = request.params.get("sort", "create_dt")
+
+ try:
+ player = DBSession.query(Player).filter_by(player_id=player_id).one()
+
+ 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)
+
+ if sort == "fastest":
+ pct_q = pct_q.order_by(PlayerCaptime.fastest_cap)
+ else:
+ sort = "create_dt"
+ pct_q = pct_q.order_by(expr.desc(PlayerCaptime.create_dt))
+
+ except Exception as e:
+ raise pyramid.httpexceptions.HTTPNotFound
+
+ captimes = Page(pct_q, page, items_per_page=20, url=page_url)
+
+ # replace the items in the canned pagination class with more rich ones
+ captimes.items = [PlayerCapTime(row) for row in captimes.items]
+
+ return {
+ "player_id" : player_id,
+ "player" : player,
+ "captimes" : captimes,
+ "page" : page,
+ "sort" : sort,
+ }
+
+
+def player_captimes(request):
+ return player_captimes_data(request)
+
+
+def player_captimes_json(request):
+ data = player_captimes_data(request)
+ page = request.params.get("page", 1)
+
+ # perform any necessary JSON conversions
+ player_id = data["player_id"]
+ player = data["player"].to_dict()
+ captimes = [ct.to_dict() for ct in data["captimes"].items]
+
+ return {
+ "player" : player,
+ "captimes" : captimes,
+ "page" : page,
+ }
+
+
+def player_weaponstats_data_json(request):
+ player_id = int(request.matchdict["id"])
+ if player_id <= 2:
+ player_id = -1;
+
+ game_type_cd = request.params.get("game_type", None)
+ if game_type_cd == "overall":
+ game_type_cd = None
+
+ limit = 20
+ if request.params.has_key("limit"):
+ limit = int(request.params["limit"])
+
+ if limit < 0:
+ limit = 20
+ if limit > 50:
+ limit = 50
+
+
+ # the game_ids of the most recently played ones
+ # of the given game type is used for a subquery
+ games_list = DBSession.query(Game.game_id).\
+ filter(Game.players.contains([player_id]))
+
+ if game_type_cd is not None:
+ games_list = games_list.filter(Game.game_type_cd == game_type_cd)
+
+ games_list = games_list.order_by(Game.game_id.desc()).limit(limit)
+
+ weapon_stats_raw = DBSession.query(PlayerWeaponStat).\
+ filter(PlayerWeaponStat.player_id == player_id).\
+ filter(PlayerWeaponStat.game_id.in_(games_list)).\
+ all()
+
+ games_to_weapons = {}
+ weapons_used = {}
+ sum_avgs = {}
+ for ws in weapon_stats_raw:
+ if ws.game_id not in games_to_weapons:
+ games_to_weapons[ws.game_id] = [ws.weapon_cd]
+ else:
+ games_to_weapons[ws.game_id].append(ws.weapon_cd)
+
+ weapons_used[ws.weapon_cd] = weapons_used.get(ws.weapon_cd, 0) + 1
+ sum_avgs[ws.weapon_cd] = sum_avgs.get(ws.weapon_cd, 0) + float(ws.hit)/float(ws.fired)
+
+ # Creating zero-valued weapon stat entries for games where a weapon was not
+ # used in that game, but was used in another game for the set. This makes
+ # the charts look smoother
+ for game_id in games_to_weapons.keys():
+ for weapon_cd in set(weapons_used.keys()) - set(games_to_weapons[game_id]):
+ weapon_stats_raw.append(PlayerWeaponStat(player_id=player_id,
+ game_id=game_id, weapon_cd=weapon_cd))
+
+ # averages for the weapons used in the range
+ avgs = {}
+ for w in weapons_used.keys():
+ avgs[w] = round(sum_avgs[w]/float(weapons_used[w])*100, 2)
+
+ weapon_stats_raw = sorted(weapon_stats_raw, key = lambda x: x.game_id)
+ games = sorted(games_to_weapons.keys())
+ weapon_stats = [ws.to_dict() for ws in weapon_stats_raw]
+
+ return {
+ "weapon_stats": weapon_stats,
+ "weapons_used": weapons_used.keys(),
+ "games": games,
+ "averages": avgs,
+ }
+
+
+def player_versus_data(request):
+ try:
+ p1_id = int(request.params.get("p1", None))
+ p2_id = int(request.params.get("p2", None))
+
+ p1_wins = 0
+ p2_wins = 0
+
+ players = DBSession.query(Player).filter(sa.or_(Player.player_id ==
+ p1_id, Player.player_id == p2_id)).order_by(Player.player_id).all()
+
+
+ if len(players) < 2:
+ raise Exception("Not enough players found.")
+
+ # assign the players from the array retrieved above
+ if players[0].player_id == p1_id:
+ p1 = players[0]
+ p2 = players[1]
+ else:
+ p1 = players[1]
+ p2 = players[0]
+
+ # note that wins and losses are from p1's perspective
+ win_loss_sql = """select win_loss, count(1)
+ from (
+ select case
+ when pgsp1.score >= pgsp2.score then 'win'
+ else 'loss'
+ end win_loss
+ from games g join player_game_stats pgsp1
+ on g.game_id = pgsp1.game_id and pgsp1.player_id = :p1
+ join player_game_stats pgsp2
+ on g.game_id = pgsp2.game_id and pgsp2.player_id = :p2
+ where g.players @> ARRAY[:p1,:p2]
+ and g.game_type_cd = 'duel'
+ and pgsp1.create_dt between g.create_dt - interval '1 hour'
+ and g.create_dt + interval '1 hour'
+ and pgsp2.create_dt between g.create_dt - interval '1 hour'
+ and g.create_dt + interval '1 hour'
+ ) wl
+ group by win_loss
+ """
+
+ wins_losses = DBSession.query("win_loss", "count").\
+ from_statement(win_loss_sql).\
+ params(p1=p1_id, p2=p2_id).all()
+
+ for row in wins_losses:
+ if row.win_loss == "win":
+ p1_wins = row.count
+ elif row.win_loss == "loss":
+ p2_wins = row.count
+
+ # grab the 20 most recent games between the two
+ rgs_raw = recent_games_q(player_id=p1_id, player_id_2=p2_id,
+ game_type_cd="duel").limit(20).all()
+
+ rgs = [RecentGame(row) for row in rgs_raw]
+
+ except Exception as e:
+ log.debug(e)
+
+ p1_id = None
+ p2_id = None
+ p1 = None
+ p2 = None
+ p1_wins = None
+ p2_wins = None
+ rgs = None
+
+ return {
+ "p1_id" : p1_id,
+ "p2_id" : p2_id,
+ "p1" : p1,
+ "p2" : p2,
+ "p1_wins" : p1_wins,
+ "p2_wins" : p2_wins,
+ "recent_games" : rgs,
+ }
+
+
+def player_versus(request):
+ return player_versus_data(request)
projects / xonotic / xonstat.git / blobdiff