-import datetime\r
-import json\r
-import logging\r
-import re\r
-import sqlalchemy as sa\r
-import sqlalchemy.sql.functions as func\r
-import time\r
-from pyramid.response import Response\r
-from pyramid.url import current_route_url\r
-from sqlalchemy import desc, distinct\r
-from webhelpers.paginate import Page, PageURL\r
-from xonstat.models import *\r
-from xonstat.util import page_url\r
-\r
-log = logging.getLogger(__name__)\r
-\r
-\r
-def player_index(request):\r
- """\r
- Provides a list of all the current players. \r
- """\r
- if request.params.has_key('page'):\r
- current_page = request.params['page']\r
- else:\r
- current_page = 1\r
-\r
- try:\r
- player_q = DBSession.query(Player).\\r
- filter(Player.player_id > 2).\\r
- filter(Player.active_ind == True).\\r
- filter(sa.not_(Player.nick.like('Anonymous Player%'))).\\r
- order_by(Player.player_id.desc())\r
-\r
- players = Page(player_q, current_page, items_per_page=10, url=page_url)\r
-\r
- except Exception as e:\r
- players = None\r
- raise e\r
-\r
- return {'players':players\r
- }\r
-\r
-\r
-def get_games_played(player_id):\r
- """\r
- Provides a breakdown by gametype of the games played by player_id.\r
-\r
- Returns a tuple containing (total_games, games_breakdown), where\r
- total_games is the absolute number of games played by player_id\r
- and games_breakdown is an array containing (game_type_cd, # games)\r
- """\r
- games_played = DBSession.query(Game.game_type_cd, func.count()).\\r
- filter(Game.game_id == PlayerGameStat.game_id).\\r
- filter(PlayerGameStat.player_id == player_id).\\r
- group_by(Game.game_type_cd).\\r
- order_by(func.count().desc()).all()\r
-\r
- total = 0\r
- for (game_type_cd, games) in games_played:\r
- total += games\r
-\r
- return (total, games_played)\r
-\r
-\r
-# TODO: should probably factor the above function into this one such that\r
-# total_stats['ctf_games'] is the count of CTF games and so on...\r
-def get_total_stats(player_id):\r
- """\r
- Provides aggregated stats by player_id.\r
-\r
- Returns a dict with the keys 'kills', 'deaths', 'alivetime'.\r
-\r
- kills = how many kills a player has over all games\r
- deaths = how many deaths a player has over all games\r
- alivetime = how long a player has played over all games\r
-\r
- If any of the above are None, they are set to 0.\r
- """\r
- total_stats = {}\r
- (total_stats['kills'], total_stats['deaths'], total_stats['alivetime']) = DBSession.\\r
- query("total_kills", "total_deaths", "total_alivetime").\\r
- from_statement(\r
- "select sum(kills) total_kills, "\r
- "sum(deaths) total_deaths, "\r
- "sum(alivetime) total_alivetime "\r
- "from player_game_stats "\r
- "where player_id=:player_id"\r
- ).params(player_id=player_id).one()\r
-\r
- (total_stats['wins'],) = DBSession.\\r
- query("total_wins").\\r
- from_statement(\r
- "select count(*) total_wins "\r
- "from games g, player_game_stats pgs "\r
- "where g.game_id = pgs.game_id "\r
- "and player_id=:player_id "\r
- "and (g.winner = pgs.team or pgs.rank = 1)"\r
- ).params(player_id=player_id).one()\r
-\r
- for (key,value) in total_stats.items():\r
- if value == None:\r
- total_stats[key] = 0\r
-\r
- return total_stats\r
-\r
-\r
-def get_accuracy_stats(player_id, weapon_cd, games):\r
- """\r
- Provides accuracy for weapon_cd by player_id for the past N games.\r
- """\r
- # Reaching back 90 days should give us an accurate enough average\r
- # We then multiply this out for the number of data points (games) to\r
- # create parameters for a flot graph\r
- try:\r
- raw_avg = DBSession.query(func.sum(PlayerWeaponStat.hit),\r
- func.sum(PlayerWeaponStat.fired)).\\r
- filter(PlayerWeaponStat.player_id == player_id).\\r
- filter(PlayerWeaponStat.weapon_cd == weapon_cd).\\r
- one()\r
-\r
- avg = round(float(raw_avg[0])/raw_avg[1]*100, 2)\r
-\r
- # Determine the raw accuracy (hit, fired) numbers for $games games\r
- # This is then enumerated to create parameters for a flot graph\r
- raw_accs = DBSession.query(PlayerWeaponStat.game_id, \r
- PlayerWeaponStat.hit, PlayerWeaponStat.fired).\\r
- filter(PlayerWeaponStat.player_id == player_id).\\r
- filter(PlayerWeaponStat.weapon_cd == weapon_cd).\\r
- order_by(PlayerWeaponStat.game_id.desc()).\\r
- limit(games).\\r
- all()\r
-\r
- # they come out in opposite order, so flip them in the right direction\r
- raw_accs.reverse()\r
-\r
- accs = []\r
- for i in range(len(raw_accs)):\r
- accs.append((raw_accs[i][0], round(float(raw_accs[i][1])/raw_accs[i][2]*100, 2)))\r
- except:\r
- accs = []\r
- avg = 0.0\r
-\r
- return (avg, accs)\r
-\r
-\r
-def player_info(request):\r
- """\r
- Provides detailed information on a specific player\r
- """\r
- player_id = int(request.matchdict['id'])\r
- if player_id <= 2:\r
- player_id = -1;\r
-\r
- try:\r
- player = DBSession.query(Player).filter_by(player_id=player_id).\\r
- filter(Player.active_ind == True).one()\r
-\r
- # games played, alivetime, wins, kills, deaths\r
- total_stats = get_total_stats(player.player_id)\r
-\r
- # games breakdown - N games played (X ctf, Y dm) etc\r
- (total_games, games_breakdown) = get_games_played(player.player_id)\r
-\r
-\r
- # friendly display of elo information and preliminary status\r
- elos = DBSession.query(PlayerElo).filter_by(player_id=player_id).\\r
- filter(PlayerElo.game_type_cd.in_(['ctf','duel','dm'])).\\r
- order_by(PlayerElo.elo.desc()).all()\r
-\r
- elos_display = []\r
- for elo in elos:\r
- if elo.games > 32:\r
- str = "{0} ({1})"\r
- else:\r
- str = "{0}* ({1})"\r
-\r
- elos_display.append(str.format(round(elo.elo, 3),\r
- elo.game_type_cd))\r
-\r
- # which weapons have been used in the past 90 days\r
- # and also, used in 5 games or more?\r
- back_then = datetime.datetime.utcnow() - datetime.timedelta(days=90)\r
- recent_weapons = []\r
- for weapon in DBSession.query(PlayerWeaponStat.weapon_cd, func.count()).\\r
- filter(PlayerWeaponStat.player_id == player_id).\\r
- filter(PlayerWeaponStat.create_dt > back_then).\\r
- group_by(PlayerWeaponStat.weapon_cd).\\r
- having(func.count() > 4).\\r
- all():\r
- recent_weapons.append(weapon[0])\r
-\r
- # recent games table, all data\r
- recent_games = DBSession.query(PlayerGameStat, Game, Server, Map).\\r
- filter(PlayerGameStat.player_id == player_id).\\r
- filter(PlayerGameStat.game_id == Game.game_id).\\r
- filter(Game.server_id == Server.server_id).\\r
- filter(Game.map_id == Map.map_id).\\r
- order_by(Game.game_id.desc())[0:10]\r
-\r
- except Exception as e:\r
- player = None\r
- elos_display = None\r
- total_stats = None\r
- recent_games = None\r
- total_games = None\r
- games_breakdown = None\r
- recent_weapons = []\r
-\r
- return {'player':player,\r
- 'elos_display':elos_display,\r
- 'recent_games':recent_games,\r
- 'total_stats':total_stats,\r
- 'total_games':total_games,\r
- 'games_breakdown':games_breakdown,\r
- 'recent_weapons':recent_weapons,\r
- }\r
-\r
-\r
-def player_game_index(request):\r
- """\r
- Provides an index of the games in which a particular\r
- player was involved. This is ordered by game_id, with\r
- the most recent game_ids first. Paginated.\r
- """\r
- player_id = request.matchdict['player_id']\r
-\r
- if request.params.has_key('page'):\r
- current_page = request.params['page']\r
- else:\r
- current_page = 1\r
-\r
- try:\r
- games_q = DBSession.query(Game, Server, Map).\\r
- filter(PlayerGameStat.game_id == Game.game_id).\\r
- filter(PlayerGameStat.player_id == player_id).\\r
- filter(Game.server_id == Server.server_id).\\r
- filter(Game.map_id == Map.map_id).\\r
- order_by(Game.game_id.desc())\r
-\r
- games = Page(games_q, current_page, items_per_page=10, url=page_url)\r
-\r
- pgstats = {}\r
- for (game, server, map) in games:\r
- pgstats[game.game_id] = DBSession.query(PlayerGameStat).\\r
- filter(PlayerGameStat.game_id == game.game_id).\\r
- order_by(PlayerGameStat.rank).\\r
- order_by(PlayerGameStat.score).all()\r
-\r
- except Exception as e:\r
- player = None\r
- games = None\r
-\r
- return {'player_id':player_id,\r
- 'games':games,\r
- 'pgstats':pgstats}\r
-\r
-def player_accuracy(request):\r
- """\r
- Provides a JSON response representing the accuracy for the given weapon.\r
-\r
- Parameters:\r
- weapon = which weapon to display accuracy for. Valid values are 'nex',\r
- 'shotgun', 'uzi', and 'minstanex'.\r
- games = over how many games to display accuracy. Can be up to 50.\r
- """\r
- player_id = request.matchdict['id']\r
- allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']\r
- weapon_cd = 'nex'\r
- games = 20\r
-\r
- if request.params.has_key('weapon'):\r
- if request.params['weapon'] in allowed_weapons:\r
- weapon_cd = request.params['weapon']\r
-\r
- if request.params.has_key('games'):\r
- try:\r
- games = request.params['games']\r
-\r
- if games < 0:\r
- games = 20\r
- if games > 50:\r
- games = 50\r
- except:\r
- games = 20\r
-\r
- (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)\r
-\r
- # if we don't have enough data for the given weapon\r
- if len(accs) < games:\r
- games = len(accs)\r
-\r
- return {\r
- 'player_id':player_id, \r
- 'player_url':request.route_url('player_info', id=player_id), \r
- 'weapon':weapon_cd, \r
- 'games':games, \r
- 'avg':avg, \r
- 'accs':accs\r
- }\r
-\r
+import datetime
+import logging
+from calendar import timegm
+from collections import namedtuple
+from urllib import unquote
+
+import pyramid.httpexceptions
+import sqlalchemy as sa
+import sqlalchemy.sql.expression as expr
+import sqlalchemy.sql.functions as func
+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__)
+
+
+def player_index_data(request):
+ if request.params.has_key('page'):
+ current_page = request.params['page']
+ else:
+ current_page = 1
+
+ try:
+ player_q = DBSession.query(Player).\
+ filter(Player.player_id > 2).\
+ filter(Player.active_ind == True).\
+ filter(sa.not_(Player.nick.like('Anonymous Player%'))).\
+ order_by(Player.player_id.desc())
+
+ players = Page(player_q, current_page, items_per_page=25, url=page_url)
+
+ except Exception as e:
+ players = None
+ raise e
+
+ return {'players':players
+ }
+
+
+def player_index(request):
+ """
+ Provides a list of all the current players.
+ """
+ return player_index_data(request)
+
+
+def player_index_json(request):
+ """
+ Provides a list of all the current players. JSON.
+ """
+ return [{'status':'not implemented'}]
+
+
+def get_games_played(player_id):
+ """
+ Provides a breakdown by gametype of the games played by player_id.
+
+ Returns a list of namedtuples with the following members:
+ - game_type_cd
+ - games
+ - wins
+ - losses
+ - win_pct
+
+ The list itself is ordered by the number of games played
+ """
+ GamesPlayed = namedtuple('GamesPlayed', ['game_type_cd', 'games', 'wins',
+ 'losses', 'win_pct'])
+
+ raw_games_played = DBSession.query('game_type_cd', 'wins', 'losses').\
+ from_statement(
+ "SELECT game_type_cd, "
+ "SUM(win) wins, "
+ "SUM(loss) losses "
+ "FROM (SELECT g.game_id, "
+ "g.game_type_cd, "
+ "CASE "
+ "WHEN g.winner = pgs.team THEN 1 "
+ "WHEN pgs.scoreboardpos = 1 THEN 1 "
+ "ELSE 0 "
+ "END win, "
+ "CASE "
+ "WHEN g.winner = pgs.team 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 "
+ "AND g.players @> ARRAY[:player_id]) win_loss "
+ "GROUP BY game_type_cd "
+ ).params(player_id=player_id).all()
+
+ games_played = []
+ overall_games = 0
+ overall_wins = 0
+ overall_losses = 0
+ for row in raw_games_played:
+ games = row.wins + row.losses
+ overall_games += games
+ overall_wins += row.wins
+ overall_losses += row.losses
+ win_pct = float(row.wins)/games * 100
+
+ games_played.append(GamesPlayed(row.game_type_cd, games, row.wins,
+ row.losses, win_pct))
+
+ try:
+ overall_win_pct = float(overall_wins)/overall_games * 100
+ except:
+ overall_win_pct = 0.0
+
+ games_played.append(GamesPlayed('overall', overall_games, overall_wins,
+ overall_losses, overall_win_pct))
+
+ # sort the resulting list by # of games played
+ games_played = sorted(games_played, key=lambda x:x.games)
+ games_played.reverse()
+
+ return games_played
+
+
+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_fav_maps(player_id, game_type_cd=None):
+ """
+ Provides a breakdown of favorite maps by gametype.
+
+ Returns a dictionary of namedtuples with the following members:
+ - game_type_cd
+ - map_name (map name)
+ - map_id
+ - times_played
+
+ The favorite map is defined as the map you've played the most
+ for the given game_type_cd.
+
+ The key to the dictionary is the game type code. There is also an
+ "overall" game_type_cd which is the overall favorite map. This is
+ defined as the favorite map of the game type you've played the
+ most. The input parameter game_type_cd is for this.
+ """
+ FavMap = namedtuple('FavMap', ['map_name', 'map_id', 'times_played', 'game_type_cd'])
+
+ raw_favs = DBSession.query('game_type_cd', 'map_name',
+ 'map_id', 'times_played').\
+ from_statement(
+ "SELECT game_type_cd, "
+ "name map_name, "
+ "map_id, "
+ "times_played "
+ "FROM (SELECT g.game_type_cd, "
+ "m.name, "
+ "m.map_id, "
+ "Count(*) times_played, "
+ "Row_number() "
+ "OVER ( "
+ "partition BY g.game_type_cd "
+ "ORDER BY Count(*) DESC, m.map_id ASC) rank "
+ "FROM games g, "
+ "player_game_stats pgs, "
+ "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, "
+ "m.name) most_played "
+ "WHERE rank = 1 "
+ "ORDER BY times_played desc "
+ ).params(player_id=player_id).all()
+
+ fav_maps = {}
+ overall_fav = None
+ for row in raw_favs:
+ fv = FavMap(map_name=row.map_name,
+ 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
+ if overall_fav is None:
+ fav_maps['overall'] = fv
+ overall_fav = fv.game_type_cd
+
+ # otherwise it is the favorite map from the
+ # favorite game_type_cd (provided as a param)
+ # and we'll overwrite the first dict entry
+ if game_type_cd == fv.game_type_cd:
+ fav_maps['overall'] = fv
+
+ fav_maps[row.game_type_cd] = fv
+
+ return fav_maps
+
+
+def get_ranks(player_id):
+ """
+ Provides a breakdown of the player's ranks by game type.
+
+ Returns a dictionary of namedtuples with the following members:
+ - game_type_cd
+ - rank
+ - max_rank
+
+ 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_statement(
+ "select pr.game_type_cd, pr.rank, overall.max_rank "
+ "from player_ranks pr, "
+ "(select game_type_cd, max(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()
+
+ ranks = {}
+ found_top_rank = False
+ for row in raw_ranks:
+ rank = Rank(rank=row.rank,
+ max_rank=row.max_rank,
+ percentile=100 - 100*float(row.rank-1)/(row.max_rank-1),
+ game_type_cd=row.game_type_cd)
+
+
+ if not found_top_rank:
+ ranks['overall'] = rank
+ found_top_rank = True
+ elif rank.percentile > ranks['overall'].percentile:
+ ranks['overall'] = rank
+
+ ranks[row.game_type_cd] = rank
+
+ return ranks;
+
+
+def get_elos(player_id):
+ """
+ Provides a breakdown of the player's elos by game type.
+
+ Returns a dictionary of namedtuples with the following members:
+ - player_id
+ - game_type_cd
+ - games
+ - elo
+
+ The key to the dictionary is the game type code. There is also an
+ "overall" game_type_cd which is the overall best rank.
+ """
+ raw_elos = DBSession.query(PlayerElo).filter_by(player_id=player_id).\
+ order_by(PlayerElo.elo.desc()).all()
+
+ elos = {}
+ found_max_elo = False
+ for row in raw_elos:
+ if not found_max_elo:
+ elos['overall'] = row
+ found_max_elo = True
+
+ elos[row.game_type_cd] = row
+
+ return elos
+
+
+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, force_player_id=True).limit(limit).all()
+ recent_games = [RecentGame(row) for row in rgs]
+
+ return recent_games
+
+
+def get_accuracy_stats(player_id, weapon_cd, games):
+ """
+ Provides accuracy for weapon_cd by player_id for the past N games.
+ """
+ # Reaching back 90 days should give us an accurate enough average
+ # We then multiply this out for the number of data points (games) to
+ # create parameters for a flot graph
+ try:
+ raw_avg = DBSession.query(func.sum(PlayerWeaponStat.hit),
+ func.sum(PlayerWeaponStat.fired)).\
+ filter(PlayerWeaponStat.player_id == player_id).\
+ filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
+ one()
+
+ avg = round(float(raw_avg[0])/raw_avg[1]*100, 2)
+
+ # 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,
+ PlayerWeaponStat.hit, PlayerWeaponStat.fired).\
+ filter(PlayerWeaponStat.player_id == player_id).\
+ filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
+ order_by(PlayerWeaponStat.game_id.desc()).\
+ limit(games).\
+ all()
+
+ # they come out in opposite order, so flip them in the right direction
+ raw_accs.reverse()
+
+ accs = []
+ for i in range(len(raw_accs)):
+ accs.append((raw_accs[i][0], round(float(raw_accs[i][1])/raw_accs[i][2]*100, 2)))
+ except:
+ accs = []
+ avg = 0.0
+
+ return (avg, accs)
+
+
+def get_damage_stats(player_id, weapon_cd, games):
+ """
+ Provides damage info for weapon_cd by player_id for the past N games.
+ """
+ try:
+ raw_avg = DBSession.query(func.sum(PlayerWeaponStat.actual),
+ func.sum(PlayerWeaponStat.hit)).\
+ filter(PlayerWeaponStat.player_id == player_id).\
+ filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
+ one()
+
+ avg = round(float(raw_avg[0])/raw_avg[1], 2)
+
+ # 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,
+ PlayerWeaponStat.actual, PlayerWeaponStat.hit).\
+ filter(PlayerWeaponStat.player_id == player_id).\
+ filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
+ order_by(PlayerWeaponStat.game_id.desc()).\
+ limit(games).\
+ all()
+
+ # they come out in opposite order, so flip them in the right direction
+ raw_dmgs.reverse()
+
+ dmgs = []
+ for i in range(len(raw_dmgs)):
+ # try to derive, unless we've hit nothing then set to 0!
+ try:
+ dmg = round(float(raw_dmgs[i][1])/raw_dmgs[i][2], 2)
+ except:
+ dmg = 0.0
+
+ dmgs.append((raw_dmgs[i][0], dmg))
+ except Exception as e:
+ dmgs = []
+ avg = 0.0
+
+ 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:
+ player_id = -1;
+
+ try:
+ player = DBSession.query(Player).filter_by(player_id=player_id).\
+ filter(Player.active_ind == True).one()
+
+ games_played = get_games_played(player_id)
+ overall_stats = get_overall_stats(player_id)
+ fav_maps = get_fav_maps(player_id)
+ elos = get_elos(player_id)
+ ranks = {}
+ medals = get_player_medals(player_id)
+ recent_games = get_recent_games(player_id)
+ cake_day = is_cake_day(player.create_dt)
+
+ except Exception as e:
+ raise pyramid.httpexceptions.HTTPNotFound
+
+ ## do not raise application exceptions here (only for debugging)
+ # raise e
+
+ return {'player':player,
+ 'games_played':games_played,
+ 'overall_stats':overall_stats,
+ 'fav_maps':fav_maps,
+ 'elos':elos,
+ 'ranks':ranks,
+ 'medals':medals,
+ 'recent_games':recent_games,
+ 'cake_day':cake_day,
+ }
+
+
+def player_info(request):
+ """
+ Provides detailed information on a specific player
+ """
+ return player_info_data(request)
+
+
+def player_info_json(request):
+ """
+ Provides detailed information on a specific player. JSON.
+ """
+
+ # All player_info fields are converted into JSON-formattable dictionaries
+ player_info = player_info_data(request)
+
+ player = player_info['player'].to_dict()
+
+ games_played = {}
+ for game in player_info['games_played']:
+ games_played[game.game_type_cd] = to_json(game)
+
+ overall_stats = {}
+ for gt,stats in player_info['overall_stats'].items():
+ overall_stats[gt] = to_json(stats)
+
+ elos = {}
+ for gt,elo in player_info['elos'].items():
+ elos[gt] = to_json(elo.to_dict())
+
+ ranks = {}
+ for gt,rank in player_info['ranks'].items():
+ ranks[gt] = to_json(rank)
+
+ fav_maps = {}
+ for gt,mapinfo in player_info['fav_maps'].items():
+ fav_maps[gt] = to_json(mapinfo)
+
+ recent_games = [g.to_dict() for g in player_info['recent_games']]
+
+ return [{
+ 'player': player,
+ 'games_played': games_played,
+ 'overall_stats': overall_stats,
+ 'fav_maps': fav_maps,
+ 'elos': elos,
+ 'ranks': ranks,
+ 'recent_games': recent_games,
+ }]
+
+
+def player_game_index_data(request):
+ 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']
+ else:
+ current_page = 1
+
+ try:
+ 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,
+ force_player_id=True, game_type_cd=game_type_cd)
+
+ 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,
+ }
+
+
+def player_game_index(request):
+ """
+ Provides an index of the games in which a particular
+ player was involved. This is ordered by game_id, with
+ the most recent game_ids first. Paginated.
+ """
+ return player_game_index_data(request)
+
+
+def player_game_index_json(request):
+ """
+ Provides an index of the games in which a particular
+ player was involved. This is ordered by game_id, with
+ the most recent game_ids first. Paginated. JSON.
+ """
+ return [{'status':'not implemented'}]
+
+
+def player_accuracy_data(request):
+ player_id = request.matchdict['id']
+ allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']
+ weapon_cd = 'nex'
+ games = 20
+
+ if request.params.has_key('weapon'):
+ if request.params['weapon'] in allowed_weapons:
+ weapon_cd = request.params['weapon']
+
+ if request.params.has_key('games'):
+ try:
+ games = request.params['games']
+
+ if games < 0:
+ games = 20
+ if games > 50:
+ games = 50
+ except:
+ games = 20
+
+ (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)
+
+ # if we don't have enough data for the given weapon
+ if len(accs) < games:
+ 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,
+ 'accs':accs
+ }
+
+
+def player_accuracy(request):
+ """
+ Provides the accuracy for the given weapon. (JSON only)
+ """
+ return player_accuracy_data(request)
+
+
+def player_accuracy_json(request):
+ """
+ Provides a JSON response representing the accuracy for the given weapon.
+
+ Parameters:
+ weapon = which weapon to display accuracy for. Valid values are 'nex',
+ 'shotgun', 'uzi', and 'minstanex'.
+ games = over how many games to display accuracy. Can be up to 50.
+ """
+ return player_accuracy_data(request)
+
+
+def player_damage_data(request):
+ player_id = request.matchdict['id']
+ allowed_weapons = ['grenadelauncher', 'electro', 'crylink', 'hagar',
+ 'rocketlauncher', 'laser']
+ weapon_cd = 'rocketlauncher'
+ games = 20
+
+ if request.params.has_key('weapon'):
+ if request.params['weapon'] in allowed_weapons:
+ weapon_cd = request.params['weapon']
+
+ if request.params.has_key('games'):
+ try:
+ games = request.params['games']
+
+ if games < 0:
+ games = 20
+ if games > 50:
+ games = 50
+ except:
+ games = 20
+
+ (avg, dmgs) = get_damage_stats(player_id, weapon_cd, games)
+
+ # if we don't have enough data for the given weapon
+ if len(dmgs) < games:
+ 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,
+ 'dmgs':dmgs
+ }
+
+
+def player_damage_json(request):
+ """
+ Provides a JSON response representing the damage for the given weapon.
+
+ Parameters:
+ weapon = which weapon to display damage for. Valid values are
+ 'grenadelauncher', 'electro', 'crylink', 'hagar', 'rocketlauncher',
+ 'laser'.
+ games = over how many games to display damage. Can be up to 50.
+ """
+ return player_damage_data(request)
+
+
+def player_hashkey_info_data(request):
+ # 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 == 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 = {}
+ most_recent_game = get_recent_games(player.player_id, 1)[0]
+
+ except Exception as e:
+ 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,
+ }
+
+
+def player_hashkey_info_json(request):
+ """
+ Provides detailed information on a specific player. JSON.
+ """
+
+ # All player_info fields are converted into JSON-formattable dictionaries
+ player_info = player_hashkey_info_data(request)
+
+ player = player_info['player'].to_dict()
+
+ games_played = {}
+ for game in player_info['games_played']:
+ games_played[game.game_type_cd] = to_json(game)
+
+ overall_stats = {}
+ for gt,stats in player_info['overall_stats'].items():
+ overall_stats[gt] = to_json(stats)
+
+ elos = {}
+ for gt,elo in player_info['elos'].items():
+ elos[gt] = to_json(elo.to_dict())
+
+ ranks = {}
+ for gt,rank in player_info['ranks'].items():
+ ranks[gt] = to_json(rank)
+
+ fav_maps = {}
+ 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,
+ 'games_played': games_played,
+ 'overall_stats': overall_stats,
+ '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).\
+ filter(Player.active_ind == True).\
+ filter(Hashkey.hashkey == hashkey).one()
+
+ elos = get_elos(player.player_id)
+
+ except Exception as e:
+ log.debug(e)
+ raise pyramid.httpexceptions.HTTPNotFound
+
+ return {
+ 'hashkey':hashkey,
+ 'player':player,
+ 'elos':elos,
+ }
+
+
+def player_elo_info_json(request):
+ """
+ Provides elo information on a specific player. JSON.
+ """
+ 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