xonstat/views/player.py

   1 import datetime
   2 import logging
   3 import pyramid.httpexceptions
   4 import sqlalchemy as sa
   5 import sqlalchemy.sql.functions as func
   6 import sqlalchemy.sql.expression as expr
   7 from calendar import timegm
   8 from collections import namedtuple
   9 from webhelpers.paginate import Page
  10 from xonstat.models import *
  11 from xonstat.util import page_url, to_json, pretty_date, datetime_seconds
  12 from xonstat.util import is_cake_day, verify_request
  13 from xonstat.views.helpers import RecentGame, recent_games_q
  14 from urllib import unquote
  15
  16 log = logging.getLogger(__name__)
  17
  18
  19 def player_index_data(request):
  20     if request.params.has_key('page'):
  21         current_page = request.params['page']
  22     else:
  23         current_page = 1
  24
  25     try:
  26         player_q = DBSession.query(Player).\
  27                 filter(Player.player_id > 2).\
  28                 filter(Player.active_ind == True).\
  29                 filter(sa.not_(Player.nick.like('Anonymous Player%'))).\
  30                 order_by(Player.player_id.desc())
  31
  32         players = Page(player_q, current_page, items_per_page=25, url=page_url)
  33
  34     except Exception as e:
  35         players = None
  36         raise e
  37
  38     return {'players':players
  39            }
  40
  41
  42 def player_index(request):
  43     """
  44     Provides a list of all the current players.
  45     """
  46     return player_index_data(request)
  47
  48
  49 def player_index_json(request):
  50     """
  51     Provides a list of all the current players. JSON.
  52     """
  53     return [{'status':'not implemented'}]
  54
  55
  56 def get_games_played(player_id):
  57     """
  58     Provides a breakdown by gametype of the games played by player_id.
  59
  60     Returns a list of namedtuples with the following members:
  61         - game_type_cd
  62         - games
  63         - wins
  64         - losses
  65         - win_pct
  66
  67     The list itself is ordered by the number of games played
  68     """
  69     GamesPlayed = namedtuple('GamesPlayed', ['game_type_cd', 'games', 'wins',
  70         'losses', 'win_pct'])
  71
  72     raw_games_played = DBSession.query('game_type_cd', 'wins', 'losses').\
  73             from_statement(
  74                 "SELECT game_type_cd, "
  75                        "SUM(win) wins, "
  76                        "SUM(loss) losses "
  77                 "FROM   (SELECT g.game_id, "
  78                                "g.game_type_cd, "
  79                                "CASE "
  80                                  "WHEN g.winner = pgs.team THEN 1 "
  81                                  "WHEN pgs.scoreboardpos = 1 THEN 1 "
  82                                  "ELSE 0 "
  83                                "END win, "
  84                                "CASE "
  85                                  "WHEN g.winner = pgs.team THEN 0 "
  86                                  "WHEN pgs.scoreboardpos = 1 THEN 0 "
  87                                  "ELSE 1 "
  88                                "END loss "
  89                         "FROM   games g, "
  90                                "player_game_stats pgs "
  91                         "WHERE  g.game_id = pgs.game_id "
  92                         "AND pgs.player_id = :player_id "
  93                         "AND g.players @> ARRAY[:player_id]) win_loss "
  94                 "GROUP  BY game_type_cd "
  95             ).params(player_id=player_id).all()
  96
  97     games_played = []
  98     overall_games = 0
  99     overall_wins = 0
 100     overall_losses = 0
 101     for row in raw_games_played:
 102         games = row.wins + row.losses
 103         overall_games += games
 104         overall_wins += row.wins
 105         overall_losses += row.losses
 106         win_pct = float(row.wins)/games * 100
 107
 108         games_played.append(GamesPlayed(row.game_type_cd, games, row.wins,
 109             row.losses, win_pct))
 110
 111     try:
 112         overall_win_pct = float(overall_wins)/overall_games * 100
 113     except:
 114         overall_win_pct = 0.0
 115
 116     games_played.append(GamesPlayed('overall', overall_games, overall_wins,
 117         overall_losses, overall_win_pct))
 118
 119     # sort the resulting list by # of games played
 120     games_played = sorted(games_played, key=lambda x:x.games)
 121     games_played.reverse()
 122
 123     return games_played
 124
 125
 126 def get_overall_stats(player_id):
 127     """
 128     Provides a breakdown of stats by gametype played by player_id.
 129
 130     Returns a dictionary of namedtuples with the following members:
 131         - total_kills
 132         - total_deaths
 133         - k_d_ratio
 134         - last_played (last time the player played the game type)
 135         - last_played_epoch (same as above, but in seconds since epoch)
 136         - last_played_fuzzy (same as above, but in relative date)
 137         - total_playing_time (total amount of time played the game type)
 138         - total_playing_time_secs (same as the above, but in seconds)
 139         - total_pickups (ctf only)
 140         - total_captures (ctf only)
 141         - cap_ratio (ctf only)
 142         - total_carrier_frags (ctf only)
 143         - game_type_cd
 144         - game_type_descr
 145
 146     The key to the dictionary is the game type code. There is also an
 147     "overall" game_type_cd which sums the totals and computes the total ratios.
 148     """
 149     OverallStats = namedtuple('OverallStats', ['total_kills', 'total_deaths',
 150         'k_d_ratio', 'last_played', 'last_played_epoch', 'last_played_fuzzy',
 151         'total_playing_time', 'total_playing_time_secs', 'total_pickups', 'total_captures', 'cap_ratio',
 152         'total_carrier_frags', 'game_type_cd', 'game_type_descr'])
 153
 154     raw_stats = DBSession.query('game_type_cd', 'game_type_descr',
 155             'total_kills', 'total_deaths', 'last_played', 'total_playing_time',
 156             'total_pickups', 'total_captures', 'total_carrier_frags').\
 157             from_statement(
 158                 "SELECT g.game_type_cd, "
 159                        "gt.descr game_type_descr, "
 160                        "Sum(pgs.kills)         total_kills, "
 161                        "Sum(pgs.deaths)        total_deaths, "
 162                        "Max(pgs.create_dt)     last_played, "
 163                        "Sum(pgs.alivetime)     total_playing_time, "
 164                        "Sum(pgs.pickups)       total_pickups, "
 165                        "Sum(pgs.captures)      total_captures, "
 166                        "Sum(pgs.carrier_frags) total_carrier_frags "
 167                 "FROM   games g, "
 168                        "cd_game_type gt, "
 169                        "player_game_stats pgs "
 170                 "WHERE  g.game_id = pgs.game_id "
 171                   "AND  g.game_type_cd = gt.game_type_cd "
 172                   "AND  g.players @> ARRAY[:player_id] "
 173                   "AND  pgs.player_id = :player_id "
 174                 "GROUP  BY g.game_type_cd, game_type_descr "
 175                 "UNION "
 176                 "SELECT 'overall'              game_type_cd, "
 177                        "'Overall'              game_type_descr, "
 178                        "Sum(pgs.kills)         total_kills, "
 179                        "Sum(pgs.deaths)        total_deaths, "
 180                        "Max(pgs.create_dt)     last_played, "
 181                        "Sum(pgs.alivetime)     total_playing_time, "
 182                        "Sum(pgs.pickups)       total_pickups, "
 183                        "Sum(pgs.captures)      total_captures, "
 184                        "Sum(pgs.carrier_frags) total_carrier_frags "
 185                 "FROM   player_game_stats pgs "
 186                 "WHERE  pgs.player_id = :player_id "
 187             ).params(player_id=player_id).all()
 188
 189     # to be indexed by game_type_cd
 190     overall_stats = {}
 191
 192     for row in raw_stats:
 193         # individual gametype ratio calculations
 194         try:
 195             k_d_ratio = float(row.total_kills)/row.total_deaths
 196         except:
 197             k_d_ratio = None
 198
 199         try:
 200             cap_ratio = float(row.total_captures)/row.total_pickups
 201         except:
 202             cap_ratio = None
 203
 204         # everything else is untouched or "raw"
 205         os = OverallStats(total_kills=row.total_kills,
 206                 total_deaths=row.total_deaths,
 207                 k_d_ratio=k_d_ratio,
 208                 last_played=row.last_played,
 209                 last_played_epoch=timegm(row.last_played.timetuple()),
 210                 last_played_fuzzy=pretty_date(row.last_played),
 211                 total_playing_time=row.total_playing_time,
 212                 total_playing_time_secs=int(datetime_seconds(row.total_playing_time)),
 213                 total_pickups=row.total_pickups,
 214                 total_captures=row.total_captures,
 215                 cap_ratio=cap_ratio,
 216                 total_carrier_frags=row.total_carrier_frags,
 217                 game_type_cd=row.game_type_cd,
 218                 game_type_descr=row.game_type_descr)
 219
 220         overall_stats[row.game_type_cd] = os
 221
 222     # We have to edit "overall" stats to exclude deaths in CTS.
 223     # Although we still want to record deaths, they shouldn't
 224     # count towards the overall K:D ratio.
 225     if 'cts' in overall_stats:
 226         os = overall_stats['overall']
 227
 228         try:
 229             k_d_ratio = float(os.total_kills)/(os.total_deaths - overall_stats['cts'].total_deaths)
 230         except:
 231             k_d_ratio = None
 232
 233         non_cts_deaths = os.total_deaths - overall_stats['cts'].total_deaths
 234
 235
 236         overall_stats['overall'] = OverallStats(
 237                 total_kills             = os.total_kills,
 238                 total_deaths            = non_cts_deaths,
 239                 k_d_ratio               = k_d_ratio,
 240                 last_played             = os.last_played,
 241                 last_played_epoch       = os.last_played_epoch,
 242                 last_played_fuzzy       = os.last_played_fuzzy,
 243                 total_playing_time      = os.total_playing_time,
 244                 total_playing_time_secs = os.total_playing_time_secs,
 245                 total_pickups           = os.total_pickups,
 246                 total_captures          = os.total_captures,
 247                 cap_ratio               = os.cap_ratio,
 248                 total_carrier_frags     = os.total_carrier_frags,
 249                 game_type_cd            = os.game_type_cd,
 250                 game_type_descr         = os.game_type_descr)
 251
 252     return overall_stats
 253
 254
 255 def get_fav_maps(player_id, game_type_cd=None):
 256     """
 257     Provides a breakdown of favorite maps by gametype.
 258
 259     Returns a dictionary of namedtuples with the following members:
 260         - game_type_cd
 261         - map_name (map name)
 262         - map_id
 263         - times_played
 264
 265     The favorite map is defined as the map you've played the most
 266     for the given game_type_cd.
 267
 268     The key to the dictionary is the game type code. There is also an
 269     "overall" game_type_cd which is the overall favorite map. This is
 270     defined as the favorite map of the game type you've played the
 271     most. The input parameter game_type_cd is for this.
 272     """
 273     FavMap = namedtuple('FavMap', ['map_name', 'map_id', 'times_played', 'game_type_cd'])
 274
 275     raw_favs = DBSession.query('game_type_cd', 'map_name',
 276             'map_id', 'times_played').\
 277             from_statement(
 278                 "SELECT game_type_cd, "
 279                        "name map_name, "
 280                        "map_id, "
 281                        "times_played "
 282                 "FROM   (SELECT g.game_type_cd, "
 283                                "m.name, "
 284                                "m.map_id, "
 285                                "Count(*) times_played, "
 286                                "Row_number() "
 287                                  "OVER ( "
 288                                    "partition BY g.game_type_cd "
 289                                    "ORDER BY Count(*) DESC, m.map_id ASC) rank "
 290                         "FROM   games g, "
 291                                "player_game_stats pgs, "
 292                                "maps m "
 293                         "WHERE  g.game_id = pgs.game_id "
 294                                "AND g.map_id = m.map_id "
 295                                "AND g.players @> ARRAY[:player_id]"
 296                                "AND pgs.player_id = :player_id "
 297                         "GROUP  BY g.game_type_cd, "
 298                                   "m.map_id, "
 299                                   "m.name) most_played "
 300                 "WHERE  rank = 1 "
 301                 "ORDER BY  times_played desc "
 302             ).params(player_id=player_id).all()
 303
 304     fav_maps = {}
 305     overall_fav = None
 306     for row in raw_favs:
 307         fv = FavMap(map_name=row.map_name,
 308             map_id=row.map_id,
 309             times_played=row.times_played,
 310             game_type_cd=row.game_type_cd)
 311
 312         # if we aren't given a favorite game_type_cd
 313         # then the overall favorite is the one we've
 314         # played the most
 315         if overall_fav is None:
 316             fav_maps['overall'] = fv
 317             overall_fav = fv.game_type_cd
 318
 319         # otherwise it is the favorite map from the
 320         # favorite game_type_cd (provided as a param)
 321         # and we'll overwrite the first dict entry
 322         if game_type_cd == fv.game_type_cd:
 323             fav_maps['overall'] = fv
 324
 325         fav_maps[row.game_type_cd] = fv
 326
 327     return fav_maps
 328
 329
 330 def get_ranks(player_id):
 331     """
 332     Provides a breakdown of the player's ranks by game type.
 333
 334     Returns a dictionary of namedtuples with the following members:
 335         - game_type_cd
 336         - rank
 337         - max_rank
 338
 339     The key to the dictionary is the game type code. There is also an
 340     "overall" game_type_cd which is the overall best rank.
 341     """
 342     Rank = namedtuple('Rank', ['rank', 'max_rank', 'percentile', 'game_type_cd'])
 343
 344     raw_ranks = DBSession.query("game_type_cd", "rank", "max_rank").\
 345             from_statement(
 346                 "select pr.game_type_cd, pr.rank, overall.max_rank "
 347                 "from player_ranks pr,  "
 348                    "(select game_type_cd, max(rank) max_rank "
 349                     "from player_ranks  "
 350                     "group by game_type_cd) overall "
 351                 "where pr.game_type_cd = overall.game_type_cd  "
 352                 "and max_rank > 1 "
 353                 "and player_id = :player_id "
 354                 "order by rank").\
 355             params(player_id=player_id).all()
 356
 357     ranks = {}
 358     found_top_rank = False
 359     for row in raw_ranks:
 360         rank = Rank(rank=row.rank,
 361             max_rank=row.max_rank,
 362             percentile=100 - 100*float(row.rank-1)/(row.max_rank-1),
 363             game_type_cd=row.game_type_cd)
 364
 365
 366         if not found_top_rank:
 367             ranks['overall'] = rank
 368             found_top_rank = True
 369         elif rank.percentile > ranks['overall'].percentile:
 370             ranks['overall'] = rank
 371
 372         ranks[row.game_type_cd] = rank
 373
 374     return ranks;
 375
 376
 377 def get_elos(player_id):
 378     """
 379     Provides a breakdown of the player's elos by game type.
 380
 381     Returns a dictionary of namedtuples with the following members:
 382         - player_id
 383         - game_type_cd
 384         - games
 385         - elo
 386
 387     The key to the dictionary is the game type code. There is also an
 388     "overall" game_type_cd which is the overall best rank.
 389     """
 390     raw_elos = DBSession.query(PlayerElo).filter_by(player_id=player_id).\
 391             order_by(PlayerElo.elo.desc()).all()
 392
 393     elos = {}
 394     found_max_elo = False
 395     for row in raw_elos:
 396         if not found_max_elo:
 397             elos['overall'] = row
 398             found_max_elo = True
 399
 400         elos[row.game_type_cd] = row
 401
 402     return elos
 403
 404
 405 def get_recent_games(player_id, limit=10):
 406     """
 407     Provides a list of recent games for a player. Uses the recent_games_q helper.
 408     """
 409     # recent games played in descending order
 410     rgs = recent_games_q(player_id=player_id, force_player_id=True).limit(limit).all()
 411     recent_games = [RecentGame(row) for row in rgs]
 412
 413     return recent_games
 414
 415
 416 def get_accuracy_stats(player_id, weapon_cd, games):
 417     """
 418     Provides accuracy for weapon_cd by player_id for the past N games.
 419     """
 420     # Reaching back 90 days should give us an accurate enough average
 421     # We then multiply this out for the number of data points (games) to
 422     # create parameters for a flot graph
 423     try:
 424         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.hit),
 425                 func.sum(PlayerWeaponStat.fired)).\
 426                 filter(PlayerWeaponStat.player_id == player_id).\
 427                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 428                 one()
 429
 430         avg = round(float(raw_avg[0])/raw_avg[1]*100, 2)
 431
 432         # Determine the raw accuracy (hit, fired) numbers for $games games
 433         # This is then enumerated to create parameters for a flot graph
 434         raw_accs = DBSession.query(PlayerWeaponStat.game_id,
 435             PlayerWeaponStat.hit, PlayerWeaponStat.fired).\
 436                 filter(PlayerWeaponStat.player_id == player_id).\
 437                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 438                 order_by(PlayerWeaponStat.game_id.desc()).\
 439                 limit(games).\
 440                 all()
 441
 442         # they come out in opposite order, so flip them in the right direction
 443         raw_accs.reverse()
 444
 445         accs = []
 446         for i in range(len(raw_accs)):
 447             accs.append((raw_accs[i][0], round(float(raw_accs[i][1])/raw_accs[i][2]*100, 2)))
 448     except:
 449         accs = []
 450         avg = 0.0
 451
 452     return (avg, accs)
 453
 454
 455 def get_damage_stats(player_id, weapon_cd, games):
 456     """
 457     Provides damage info for weapon_cd by player_id for the past N games.
 458     """
 459     try:
 460         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.actual),
 461                 func.sum(PlayerWeaponStat.hit)).\
 462                 filter(PlayerWeaponStat.player_id == player_id).\
 463                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 464                 one()
 465
 466         avg = round(float(raw_avg[0])/raw_avg[1], 2)
 467
 468         # Determine the damage efficiency (hit, fired) numbers for $games games
 469         # This is then enumerated to create parameters for a flot graph
 470         raw_dmgs = DBSession.query(PlayerWeaponStat.game_id,
 471             PlayerWeaponStat.actual, PlayerWeaponStat.hit).\
 472                 filter(PlayerWeaponStat.player_id == player_id).\
 473                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 474                 order_by(PlayerWeaponStat.game_id.desc()).\
 475                 limit(games).\
 476                 all()
 477
 478         # they come out in opposite order, so flip them in the right direction
 479         raw_dmgs.reverse()
 480
 481         dmgs = []
 482         for i in range(len(raw_dmgs)):
 483             # try to derive, unless we've hit nothing then set to 0!
 484             try:
 485                 dmg = round(float(raw_dmgs[i][1])/raw_dmgs[i][2], 2)
 486             except:
 487                 dmg = 0.0
 488
 489             dmgs.append((raw_dmgs[i][0], dmg))
 490     except Exception as e:
 491         dmgs = []
 492         avg = 0.0
 493
 494     return (avg, dmgs)
 495
 496
 497 def get_player_medals(player_id):
 498     """Retrieves the list of medals the player has received from tournaments or
 499     other contests."""
 500     try:
 501         medals = DBSession.query(PlayerMedal)\
 502                 .filter(PlayerMedal.player_id==player_id)\
 503                 .order_by(PlayerMedal.place)\
 504                 .order_by(PlayerMedal.create_dt)\
 505                 .all()
 506
 507         return medals
 508
 509     except Exception as e:
 510         log.debug(e)
 511         return []
 512
 513
 514 def player_info_data(request):
 515     player_id = int(request.matchdict['id'])
 516     if player_id <= 2:
 517         player_id = -1;
 518
 519     try:
 520         player = DBSession.query(Player).filter_by(player_id=player_id).\
 521                 filter(Player.active_ind == True).one()
 522
 523         games_played   = get_games_played(player_id)
 524         overall_stats  = get_overall_stats(player_id)
 525         fav_maps       = get_fav_maps(player_id)
 526         elos           = get_elos(player_id)
 527         ranks          = get_ranks(player_id)
 528         medals         = get_player_medals(player_id)
 529         recent_games   = get_recent_games(player_id)
 530         cake_day       = is_cake_day(player.create_dt)
 531
 532     except Exception as e:
 533         raise pyramid.httpexceptions.HTTPNotFound
 534
 535         ## do not raise application exceptions here (only for debugging)
 536         # raise e
 537
 538     return {'player':player,
 539             'games_played':games_played,
 540             'overall_stats':overall_stats,
 541             'fav_maps':fav_maps,
 542             'elos':elos,
 543             'ranks':ranks,
 544             'medals':medals,
 545             'recent_games':recent_games,
 546             'cake_day':cake_day,
 547             }
 548
 549
 550 def player_info(request):
 551     """
 552     Provides detailed information on a specific player
 553     """
 554     return player_info_data(request)
 555
 556
 557 def player_info_json(request):
 558     """
 559     Provides detailed information on a specific player. JSON.
 560     """
 561
 562     # All player_info fields are converted into JSON-formattable dictionaries
 563     player_info = player_info_data(request)
 564
 565     player = player_info['player'].to_dict()
 566
 567     games_played = {}
 568     for game in player_info['games_played']:
 569         games_played[game.game_type_cd] = to_json(game)
 570
 571     overall_stats = {}
 572     for gt,stats in player_info['overall_stats'].items():
 573         overall_stats[gt] = to_json(stats)
 574
 575     elos = {}
 576     for gt,elo in player_info['elos'].items():
 577         elos[gt] = to_json(elo.to_dict())
 578
 579     ranks = {}
 580     for gt,rank in player_info['ranks'].items():
 581         ranks[gt] = to_json(rank)
 582
 583     fav_maps = {}
 584     for gt,mapinfo in player_info['fav_maps'].items():
 585         fav_maps[gt] = to_json(mapinfo)
 586
 587     recent_games = [g.to_dict() for g in player_info['recent_games']]
 588
 589     return [{
 590         'player':           player,
 591         'games_played':     games_played,
 592         'overall_stats':    overall_stats,
 593         'fav_maps':         fav_maps,
 594         'elos':             elos,
 595         'ranks':            ranks,
 596         'recent_games':     recent_games,
 597     }]
 598
 599
 600 def player_game_index_data(request):
 601     try:
 602         player_id = int(request.matchdict['player_id'])
 603     except:
 604         player_id = -1
 605
 606     game_type_cd = None
 607     game_type_descr = None
 608
 609     if request.params.has_key('type'):
 610         game_type_cd = request.params['type']
 611         try:
 612             game_type_descr = DBSession.query(GameType.descr).\
 613                 filter(GameType.game_type_cd == game_type_cd).\
 614                 one()[0]
 615         except Exception as e:
 616             pass
 617
 618     else:
 619         game_type_cd = None
 620         game_type_descr = None
 621
 622     if request.params.has_key('page'):
 623         current_page = request.params['page']
 624     else:
 625         current_page = 1
 626
 627     try:
 628         player = DBSession.query(Player).\
 629                 filter_by(player_id=player_id).\
 630                 filter(Player.active_ind == True).\
 631                 one()
 632
 633         rgs_q = recent_games_q(player_id=player.player_id,
 634             force_player_id=True, game_type_cd=game_type_cd)
 635
 636         games = Page(rgs_q, current_page, items_per_page=20, url=page_url)
 637
 638         # replace the items in the canned pagination class with more rich ones
 639         games.items = [RecentGame(row) for row in games.items]
 640
 641         games_played = get_games_played(player_id)
 642
 643     except Exception as e:
 644         raise e
 645         player = None
 646         games = None
 647         game_type_cd = None
 648         game_type_descr = None
 649         games_played = None
 650
 651     return {
 652             'player_id':player.player_id,
 653             'player':player,
 654             'games':games,
 655             'game_type_cd':game_type_cd,
 656             'game_type_descr':game_type_descr,
 657             'games_played':games_played,
 658            }
 659
 660
 661 def player_game_index(request):
 662     """
 663     Provides an index of the games in which a particular
 664     player was involved. This is ordered by game_id, with
 665     the most recent game_ids first. Paginated.
 666     """
 667     return player_game_index_data(request)
 668
 669
 670 def player_game_index_json(request):
 671     """
 672     Provides an index of the games in which a particular
 673     player was involved. This is ordered by game_id, with
 674     the most recent game_ids first. Paginated. JSON.
 675     """
 676     return [{'status':'not implemented'}]
 677
 678
 679 def player_accuracy_data(request):
 680     player_id = request.matchdict['id']
 681     allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']
 682     weapon_cd = 'nex'
 683     games = 20
 684
 685     if request.params.has_key('weapon'):
 686         if request.params['weapon'] in allowed_weapons:
 687             weapon_cd = request.params['weapon']
 688
 689     if request.params.has_key('games'):
 690         try:
 691             games = request.params['games']
 692
 693             if games < 0:
 694                 games = 20
 695             if games > 50:
 696                 games = 50
 697         except:
 698             games = 20
 699
 700     (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)
 701
 702     # if we don't have enough data for the given weapon
 703     if len(accs) < games:
 704         games = len(accs)
 705
 706     return {
 707             'player_id':player_id,
 708             'player_url':request.route_url('player_info', id=player_id),
 709             'weapon':weapon_cd,
 710             'games':games,
 711             'avg':avg,
 712             'accs':accs
 713             }
 714
 715
 716 def player_accuracy(request):
 717     """
 718     Provides the accuracy for the given weapon. (JSON only)
 719     """
 720     return player_accuracy_data(request)
 721
 722
 723 def player_accuracy_json(request):
 724     """
 725     Provides a JSON response representing the accuracy for the given weapon.
 726
 727     Parameters:
 728        weapon = which weapon to display accuracy for. Valid values are 'nex',
 729                 'shotgun', 'uzi', and 'minstanex'.
 730        games = over how many games to display accuracy. Can be up to 50.
 731     """
 732     return player_accuracy_data(request)
 733
 734
 735 def player_damage_data(request):
 736     player_id = request.matchdict['id']
 737     allowed_weapons = ['grenadelauncher', 'electro', 'crylink', 'hagar',
 738             'rocketlauncher', 'laser']
 739     weapon_cd = 'rocketlauncher'
 740     games = 20
 741
 742     if request.params.has_key('weapon'):
 743         if request.params['weapon'] in allowed_weapons:
 744             weapon_cd = request.params['weapon']
 745
 746     if request.params.has_key('games'):
 747         try:
 748             games = request.params['games']
 749
 750             if games < 0:
 751                 games = 20
 752             if games > 50:
 753                 games = 50
 754         except:
 755             games = 20
 756
 757     (avg, dmgs) = get_damage_stats(player_id, weapon_cd, games)
 758
 759     # if we don't have enough data for the given weapon
 760     if len(dmgs) < games:
 761         games = len(dmgs)
 762
 763     return {
 764             'player_id':player_id,
 765             'player_url':request.route_url('player_info', id=player_id),
 766             'weapon':weapon_cd,
 767             'games':games,
 768             'avg':avg,
 769             'dmgs':dmgs
 770             }
 771
 772
 773 def player_damage_json(request):
 774     """
 775     Provides a JSON response representing the damage for the given weapon.
 776
 777     Parameters:
 778        weapon = which weapon to display damage for. Valid values are
 779          'grenadelauncher', 'electro', 'crylink', 'hagar', 'rocketlauncher',
 780          'laser'.
 781        games = over how many games to display damage. Can be up to 50.
 782     """
 783     return player_damage_data(request)
 784
 785
 786 def player_hashkey_info_data(request):
 787     # hashkey = request.matchdict['hashkey']
 788
 789     # the incoming hashkey is double quoted, and WSGI unquotes once...
 790     # hashkey = unquote(hashkey)
 791
 792     # if using request verification to obtain the hashkey
 793     (idfp, status) = verify_request(request)
 794     log.debug("d0_blind_id verification: idfp={0} status={1}\n".format(idfp, status))
 795
 796     log.debug("\n----- BEGIN REQUEST BODY -----\n" + request.body +
 797             "----- END REQUEST BODY -----\n\n")
 798
 799     # if config is to *not* verify requests and we get nothing back, this
 800     # query will return nothing and we'll 404.
 801     try:
 802         player = DBSession.query(Player).\
 803                 filter(Player.player_id == Hashkey.player_id).\
 804                 filter(Player.active_ind == True).\
 805                 filter(Hashkey.hashkey == idfp).one()
 806
 807         games_played      = get_games_played(player.player_id)
 808         overall_stats     = get_overall_stats(player.player_id)
 809         fav_maps          = get_fav_maps(player.player_id)
 810         elos              = get_elos(player.player_id)
 811         ranks             = get_ranks(player.player_id)
 812         most_recent_game  = get_recent_games(player.player_id, 1)[0]
 813
 814     except Exception as e:
 815         raise pyramid.httpexceptions.HTTPNotFound
 816
 817     return {'player':player,
 818             'hashkey':idfp,
 819             'games_played':games_played,
 820             'overall_stats':overall_stats,
 821             'fav_maps':fav_maps,
 822             'elos':elos,
 823             'ranks':ranks,
 824             'most_recent_game':most_recent_game,
 825             }
 826
 827
 828 def player_hashkey_info_json(request):
 829     """
 830     Provides detailed information on a specific player. JSON.
 831     """
 832
 833     # All player_info fields are converted into JSON-formattable dictionaries
 834     player_info = player_hashkey_info_data(request)
 835
 836     player = player_info['player'].to_dict()
 837
 838     games_played = {}
 839     for game in player_info['games_played']:
 840         games_played[game.game_type_cd] = to_json(game)
 841
 842     overall_stats = {}
 843     for gt,stats in player_info['overall_stats'].items():
 844         overall_stats[gt] = to_json(stats)
 845
 846     elos = {}
 847     for gt,elo in player_info['elos'].items():
 848         elos[gt] = to_json(elo.to_dict())
 849
 850     ranks = {}
 851     for gt,rank in player_info['ranks'].items():
 852         ranks[gt] = to_json(rank)
 853
 854     fav_maps = {}
 855     for gt,mapinfo in player_info['fav_maps'].items():
 856         fav_maps[gt] = to_json(mapinfo)
 857
 858     most_recent_game = to_json(player_info['most_recent_game'])
 859
 860     return [{
 861         'version':          1,
 862         'player':           player,
 863         'games_played':     games_played,
 864         'overall_stats':    overall_stats,
 865         'fav_maps':         fav_maps,
 866         'elos':             elos,
 867         'ranks':            ranks,
 868         'most_recent_game': most_recent_game,
 869     }]
 870
 871
 872 def player_hashkey_info_text(request):
 873     """
 874     Provides detailed information on a specific player. Plain text.
 875     """
 876     # UTC epoch
 877     now = timegm(datetime.datetime.utcnow().timetuple())
 878
 879     # All player_info fields are converted into JSON-formattable dictionaries
 880     player_info = player_hashkey_info_data(request)
 881
 882     # gather all of the data up into aggregate structures
 883     player = player_info['player']
 884     games_played = player_info['games_played']
 885     overall_stats = player_info['overall_stats']
 886     elos = player_info['elos']
 887     ranks = player_info['ranks']
 888     fav_maps = player_info['fav_maps']
 889     most_recent_game = player_info['most_recent_game']
 890
 891     # one-offs for things needing conversion for text/plain
 892     player_joined = timegm(player.create_dt.timetuple())
 893     player_joined_dt = player.create_dt
 894     alivetime = int(datetime_seconds(overall_stats['overall'].total_playing_time))
 895
 896     # this is a plain text response, if we don't do this here then
 897     # Pyramid will assume html
 898     request.response.content_type = 'text/plain'
 899
 900     return {
 901         'version':          1,
 902         'now':              now,
 903         'player':           player,
 904         'hashkey':          player_info['hashkey'],
 905         'player_joined':    player_joined,
 906         'player_joined_dt': player_joined_dt,
 907         'games_played':     games_played,
 908         'overall_stats':    overall_stats,
 909         'alivetime':        alivetime,
 910         'fav_maps':         fav_maps,
 911         'elos':             elos,
 912         'ranks':            ranks,
 913         'most_recent_game': most_recent_game,
 914     }
 915
 916
 917 def player_elo_info_data(request):
 918     """
 919     Provides elo information on a specific player. Raw data is returned.
 920     """
 921     (idfp, status) = verify_request(request)
 922     log.debug("d0_blind_id verification: idfp={0} status={1}\n".format(idfp, status))
 923
 924     log.debug("\n----- BEGIN REQUEST BODY -----\n" + request.body +
 925             "----- END REQUEST BODY -----\n\n")
 926
 927     hashkey = request.matchdict['hashkey']
 928
 929     # the incoming hashkey is double quoted, and WSGI unquotes once...
 930     hashkey = unquote(hashkey)
 931
 932     try:
 933         player = DBSession.query(Player).\
 934                 filter(Player.player_id == Hashkey.player_id).\
 935                 filter(Player.active_ind == True).\
 936                 filter(Hashkey.hashkey == hashkey).one()
 937
 938         elos = get_elos(player.player_id)
 939
 940     except Exception as e:
 941         log.debug(e)
 942         raise pyramid.httpexceptions.HTTPNotFound
 943
 944     return {
 945         'hashkey':hashkey,
 946         'player':player,
 947         'elos':elos,
 948     }
 949
 950
 951 def player_elo_info_json(request):
 952     """
 953     Provides elo information on a specific player. JSON.
 954     """
 955     elo_info = player_elo_info_data(request)
 956
 957     player = player_info['player'].to_dict()
 958
 959     elos = {}
 960     for gt, elo in elo_info['elos'].items():
 961         elos[gt] = to_json(elo.to_dict())
 962
 963     return [{
 964         'version':          1,
 965         'player':           player,
 966         'elos':             elos,
 967     }]
 968
 969
 970 def player_elo_info_text(request):
 971     """
 972     Provides elo information on a specific player. Plain text.
 973     """
 974     # UTC epoch
 975     now = timegm(datetime.datetime.utcnow().timetuple())
 976
 977     # All player_info fields are converted into JSON-formattable dictionaries
 978     elo_info = player_elo_info_data(request)
 979
 980     # this is a plain text response, if we don't do this here then
 981     # Pyramid will assume html
 982     request.response.content_type = 'text/plain'
 983
 984     return {
 985         'version':          1,
 986         'now':              now,
 987         'hashkey':          elo_info['hashkey'],
 988         'player':           elo_info['player'],
 989         'elos':             elo_info['elos'],
 990     }
 991
 992
 993 def player_captimes_data(request):
 994     player_id = int(request.matchdict['player_id'])
 995     if player_id <= 2:
 996         player_id = -1;
 997
 998     page = request.params.get("page", 1)
 999
1000     sort = request.params.get("sort", "create_dt")
1001
1002     try:
1003         player = DBSession.query(Player).filter_by(player_id=player_id).one()
1004
1005         pct_q = DBSession.query(PlayerCaptime.fastest_cap, PlayerCaptime.create_dt,
1006                 PlayerCaptime.player_id, PlayerCaptime.game_id, PlayerCaptime.map_id,
1007                 Map.name.label('map_name'), Game.server_id, Server.name.label('server_name')).\
1008                 filter(PlayerCaptime.player_id==player_id).\
1009                 filter(PlayerCaptime.game_id==Game.game_id).\
1010                 filter(PlayerCaptime.map_id==Map.map_id).\
1011                 filter(Game.server_id==Server.server_id)
1012
1013         if sort == "fastest":
1014             pct_q = pct_q.order_by(PlayerCaptime.fastest_cap)
1015         else:
1016             sort = "create_dt"
1017             pct_q = pct_q.order_by(expr.desc(PlayerCaptime.create_dt))
1018
1019     except Exception as e:
1020         raise pyramid.httpexceptions.HTTPNotFound
1021
1022     captimes = Page(pct_q, page, items_per_page=20, url=page_url)
1023
1024     # replace the items in the canned pagination class with more rich ones
1025     captimes.items = [PlayerCapTime(row) for row in captimes.items]
1026
1027     return {
1028             "player_id" : player_id,
1029             "player"    : player,
1030             "captimes"  : captimes,
1031             "page"      : page,
1032             "sort"      : sort,
1033         }
1034
1035
1036 def player_captimes(request):
1037     return player_captimes_data(request)
1038
1039
1040 def player_captimes_json(request):
1041     data = player_captimes_data(request)
1042     page = request.params.get("page", 1)
1043
1044     # perform any necessary JSON conversions
1045     player_id = data["player_id"]
1046     player = data["player"].to_dict()
1047     captimes = [ct.to_dict() for ct in data["captimes"].items]
1048
1049     return {
1050             "player"    : player,
1051             "captimes"  : captimes,
1052             "page"      : page,
1053             }
1054
1055
1056 def player_weaponstats_data_json(request):
1057     player_id = int(request.matchdict["id"])
1058     if player_id <= 2:
1059         player_id = -1;
1060
1061     game_type_cd = request.params.get("game_type", None)
1062     if game_type_cd == "overall":
1063         game_type_cd = None
1064
1065     limit = 20
1066     if request.params.has_key("limit"):
1067         limit = int(request.params["limit"])
1068
1069         if limit < 0:
1070             limit = 20
1071         if limit > 50:
1072             limit = 50
1073
1074
1075     # the game_ids of the most recently played ones
1076     # of the given game type is used for a subquery
1077     games_list = DBSession.query(Game.game_id).\
1078             filter(Game.players.contains([player_id]))
1079
1080     if game_type_cd is not None:
1081         games_list = games_list.filter(Game.game_type_cd == game_type_cd)
1082
1083     games_list = games_list.order_by(Game.game_id.desc()).limit(limit)
1084
1085     weapon_stats_raw = DBSession.query(PlayerWeaponStat).\
1086         filter(PlayerWeaponStat.player_id == player_id).\
1087         filter(PlayerWeaponStat.game_id.in_(games_list)).\
1088         all()
1089
1090     games_to_weapons = {}
1091     weapons_used = {}
1092     sum_avgs = {}
1093     for ws in weapon_stats_raw:
1094         if ws.game_id not in games_to_weapons:
1095             games_to_weapons[ws.game_id] = [ws.weapon_cd]
1096         else:
1097             games_to_weapons[ws.game_id].append(ws.weapon_cd)
1098
1099         weapons_used[ws.weapon_cd] = weapons_used.get(ws.weapon_cd, 0) + 1
1100         sum_avgs[ws.weapon_cd] = sum_avgs.get(ws.weapon_cd, 0) + float(ws.hit)/float(ws.fired)
1101
1102     # Creating zero-valued weapon stat entries for games where a weapon was not
1103     # used in that game, but was used in another game for the set. This makes
1104     # the charts look smoother
1105     for game_id in games_to_weapons.keys():
1106         for weapon_cd in set(weapons_used.keys()) - set(games_to_weapons[game_id]):
1107             weapon_stats_raw.append(PlayerWeaponStat(player_id=player_id,
1108                 game_id=game_id, weapon_cd=weapon_cd))
1109
1110     # averages for the weapons used in the range
1111     avgs = {}
1112     for w in weapons_used.keys():
1113         avgs[w] = round(sum_avgs[w]/float(weapons_used[w])*100, 2)
1114
1115     weapon_stats_raw = sorted(weapon_stats_raw, key = lambda x: x.game_id)
1116     games            = sorted(games_to_weapons.keys())
1117     weapon_stats     = [ws.to_dict() for ws in weapon_stats_raw]
1118
1119     return {
1120         "weapon_stats": weapon_stats,
1121         "weapons_used": weapons_used.keys(),
1122         "games": games,
1123         "averages": avgs,
1124     }
1125
1126
1127 def player_versus_data(request):
1128     try:
1129         p1_id = int(request.params.get("p1", None))
1130         p2_id = int(request.params.get("p2", None))
1131
1132         p1_wins = 0
1133         p2_wins = 0
1134
1135         players = DBSession.query(Player).filter(sa.or_(Player.player_id ==
1136             p1_id, Player.player_id == p2_id)).order_by(Player.player_id).all()
1137
1138
1139         if len(players) < 2:
1140             raise Exception("Not enough players found.")
1141
1142         # assign the players from the array retrieved above
1143         if players[0].player_id == p1_id:
1144             p1 = players[0]
1145             p2 = players[1]
1146         else:
1147             p1 = players[1]
1148             p2 = players[0]
1149
1150         # note that wins and losses are from p1's perspective
1151         win_loss_sql = """select win_loss, count(1)
1152             from (
1153               select case
1154                 when pgsp1.score >= pgsp2.score then 'win'
1155                 else 'loss'
1156               end win_loss
1157               from games g join player_game_stats pgsp1
1158                 on g.game_id = pgsp1.game_id and pgsp1.player_id = :p1
1159               join player_game_stats pgsp2
1160                 on g.game_id = pgsp2.game_id and pgsp2.player_id = :p2
1161               where g.players @> ARRAY[:p1,:p2]
1162               and g.game_type_cd = 'duel'
1163               and pgsp1.create_dt between g.create_dt - interval '1 hour'
1164                 and g.create_dt + interval '1 hour'
1165               and pgsp2.create_dt between g.create_dt - interval '1 hour'
1166                 and g.create_dt + interval '1 hour'
1167             ) wl
1168             group by win_loss
1169             """
1170
1171         wins_losses = DBSession.query("win_loss", "count").\
1172                 from_statement(win_loss_sql).\
1173                 params(p1=p1_id, p2=p2_id).all()
1174
1175         for row in wins_losses:
1176             if row.win_loss == "win":
1177                 p1_wins = row.count
1178             elif row.win_loss == "loss":
1179                 p2_wins = row.count
1180
1181         # grab the 20 most recent games between the two
1182         rgs_raw = recent_games_q(player_id=p1_id, player_id_2=p2_id,
1183                 game_type_cd="duel").limit(20).all()
1184
1185         rgs = [RecentGame(row) for row in rgs_raw]
1186
1187     except Exception as e:
1188         log.debug(e)
1189
1190         p1_id = None
1191         p2_id = None
1192         p1 = None
1193         p2 = None
1194         p1_wins = None
1195         p2_wins = None
1196         rgs = None
1197
1198     return {
1199             "p1_id" : p1_id,
1200             "p2_id" : p2_id,
1201             "p1" : p1,
1202             "p2" : p2,
1203             "p1_wins" : p1_wins,
1204             "p2_wins" : p2_wins,
1205             "recent_games" : rgs,
1206         }
1207
1208
1209 def player_versus(request):
1210     return player_versus_data(request)