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 from calendar import timegm
   7 from collections import namedtuple
   8 from webhelpers.paginate import Page
   9 from xonstat.models import *
  10 from xonstat.util import page_url, to_json, pretty_date, datetime_seconds
  11 from xonstat.views.helpers import RecentGame, recent_games_q
  12
  13 log = logging.getLogger(__name__)
  14
  15
  16 def player_index_data(request):
  17     if request.params.has_key('page'):
  18         current_page = request.params['page']
  19     else:
  20         current_page = 1
  21
  22     try:
  23         player_q = DBSession.query(Player).\
  24                 filter(Player.player_id > 2).\
  25                 filter(Player.active_ind == True).\
  26                 filter(sa.not_(Player.nick.like('Anonymous Player%'))).\
  27                 order_by(Player.player_id.desc())
  28
  29         players = Page(player_q, current_page, items_per_page=25, url=page_url)
  30
  31     except Exception as e:
  32         players = None
  33         raise e
  34
  35     return {'players':players
  36            }
  37
  38
  39 def player_index(request):
  40     """
  41     Provides a list of all the current players.
  42     """
  43     return player_index_data(request)
  44
  45
  46 def player_index_json(request):
  47     """
  48     Provides a list of all the current players. JSON.
  49     """
  50     return [{'status':'not implemented'}]
  51
  52
  53 def get_games_played(player_id):
  54     """
  55     Provides a breakdown by gametype of the games played by player_id.
  56
  57     Returns a list of namedtuples with the following members:
  58         - game_type_cd
  59         - games
  60         - wins
  61         - losses
  62         - win_pct
  63
  64     The list itself is ordered by the number of games played
  65     """
  66     GamesPlayed = namedtuple('GamesPlayed', ['game_type_cd', 'games', 'wins',
  67         'losses', 'win_pct'])
  68
  69     raw_games_played = DBSession.query('game_type_cd', 'wins', 'losses').\
  70             from_statement(
  71                 "SELECT game_type_cd, "
  72                        "SUM(win) wins, "
  73                        "SUM(loss) losses "
  74                 "FROM   (SELECT g.game_id, "
  75                                "g.game_type_cd, "
  76                                "CASE "
  77                                  "WHEN g.winner = pgs.team THEN 1 "
  78                                  "WHEN pgs.scoreboardpos = 1 THEN 1 "
  79                                  "ELSE 0 "
  80                                "END win, "
  81                                "CASE "
  82                                  "WHEN g.winner = pgs.team THEN 0 "
  83                                  "WHEN pgs.scoreboardpos = 1 THEN 0 "
  84                                  "ELSE 1 "
  85                                "END loss "
  86                         "FROM   games g, "
  87                                "player_game_stats pgs "
  88                         "WHERE  g.game_id = pgs.game_id "
  89                         "AND pgs.player_id = :player_id) win_loss "
  90                 "GROUP  BY game_type_cd "
  91             ).params(player_id=player_id).all()
  92
  93     games_played = []
  94     overall_games = 0
  95     overall_wins = 0
  96     overall_losses = 0
  97     for row in raw_games_played:
  98         games = row.wins + row.losses
  99         overall_games += games
 100         overall_wins += row.wins
 101         overall_losses += row.losses
 102         win_pct = float(row.wins)/games * 100
 103
 104         games_played.append(GamesPlayed(row.game_type_cd, games, row.wins,
 105             row.losses, win_pct))
 106
 107     try:
 108         overall_win_pct = float(overall_wins)/overall_games * 100
 109     except:
 110         overall_win_pct = 0.0
 111
 112     games_played.append(GamesPlayed('overall', overall_games, overall_wins,
 113         overall_losses, overall_win_pct))
 114
 115     # sort the resulting list by # of games played
 116     games_played = sorted(games_played, key=lambda x:x.games)
 117     games_played.reverse()
 118     return games_played
 119
 120
 121 def get_overall_stats(player_id):
 122     """
 123     Provides a breakdown of stats by gametype played by player_id.
 124
 125     Returns a dictionary of namedtuples with the following members:
 126         - total_kills
 127         - total_deaths
 128         - k_d_ratio
 129         - last_played (last time the player played the game type)
 130         - last_played_epoch (same as above, but in seconds since epoch)
 131         - last_played_fuzzy (same as above, but in relative date)
 132         - total_playing_time (total amount of time played the game type)
 133         - total_playing_time_secs (same as the above, but in seconds)
 134         - total_pickups (ctf only)
 135         - total_captures (ctf only)
 136         - cap_ratio (ctf only)
 137         - total_carrier_frags (ctf only)
 138         - game_type_cd
 139         - game_type_descr
 140
 141     The key to the dictionary is the game type code. There is also an
 142     "overall" game_type_cd which sums the totals and computes the total ratios.
 143     """
 144     OverallStats = namedtuple('OverallStats', ['total_kills', 'total_deaths',
 145         'k_d_ratio', 'last_played', 'last_played_epoch', 'last_played_fuzzy',
 146         'total_playing_time', 'total_playing_time_secs', 'total_pickups', 'total_captures', 'cap_ratio',
 147         'total_carrier_frags', 'game_type_cd', 'game_type_descr'])
 148
 149     raw_stats = DBSession.query('game_type_cd', 'game_type_descr',
 150             'total_kills', 'total_deaths', 'last_played', 'total_playing_time',
 151             'total_pickups', 'total_captures', 'total_carrier_frags').\
 152             from_statement(
 153                 "SELECT g.game_type_cd, "
 154                        "gt.descr game_type_descr, "
 155                        "Sum(pgs.kills)         total_kills, "
 156                        "Sum(pgs.deaths)        total_deaths, "
 157                        "Max(pgs.create_dt)     last_played, "
 158                        "Sum(pgs.alivetime)     total_playing_time, "
 159                        "Sum(pgs.pickups)       total_pickups, "
 160                        "Sum(pgs.captures)      total_captures, "
 161                        "Sum(pgs.carrier_frags) total_carrier_frags "
 162                 "FROM   games g, "
 163                        "cd_game_type gt, "
 164                        "player_game_stats pgs "
 165                 "WHERE  g.game_id = pgs.game_id "
 166                   "AND  g.game_type_cd = gt.game_type_cd "
 167                   "AND  pgs.player_id = :player_id "
 168                 "GROUP  BY g.game_type_cd, game_type_descr "
 169                 "UNION "
 170                 "SELECT 'overall'              game_type_cd, "
 171                        "'Overall'              game_type_descr, "
 172                        "Sum(pgs.kills)         total_kills, "
 173                        "Sum(pgs.deaths)        total_deaths, "
 174                        "Max(pgs.create_dt)     last_played, "
 175                        "Sum(pgs.alivetime)     total_playing_time, "
 176                        "Sum(pgs.pickups)       total_pickups, "
 177                        "Sum(pgs.captures)      total_captures, "
 178                        "Sum(pgs.carrier_frags) total_carrier_frags "
 179                 "FROM   player_game_stats pgs "
 180                 "WHERE  pgs.player_id = :player_id "
 181             ).params(player_id=player_id).all()
 182
 183     # to be indexed by game_type_cd
 184     overall_stats = {}
 185
 186     for row in raw_stats:
 187         # individual gametype ratio calculations
 188         try:
 189             k_d_ratio = float(row.total_kills)/row.total_deaths
 190         except:
 191             k_d_ratio = None
 192
 193         try:
 194             cap_ratio = float(row.total_captures)/row.total_pickups
 195         except:
 196             cap_ratio = None
 197
 198         # everything else is untouched or "raw"
 199         os = OverallStats(total_kills=row.total_kills,
 200                 total_deaths=row.total_deaths,
 201                 k_d_ratio=k_d_ratio,
 202                 last_played=row.last_played,
 203                 last_played_epoch=timegm(row.last_played.timetuple()),
 204                 last_played_fuzzy=pretty_date(row.last_played),
 205                 total_playing_time=row.total_playing_time,
 206                 total_playing_time_secs=int(datetime_seconds(row.total_playing_time)),
 207                 total_pickups=row.total_pickups,
 208                 total_captures=row.total_captures,
 209                 cap_ratio=cap_ratio,
 210                 total_carrier_frags=row.total_carrier_frags,
 211                 game_type_cd=row.game_type_cd,
 212                 game_type_descr=row.game_type_descr)
 213
 214         overall_stats[row.game_type_cd] = os
 215
 216     # We have to edit "overall" stats to exclude deaths in CTS.
 217     # Although we still want to record deaths, they shouldn't
 218     # count towards the overall K:D ratio.
 219     if 'cts' in overall_stats:
 220         os = overall_stats['overall']
 221
 222         try:
 223             k_d_ratio = float(os.total_kills)/(os.total_deaths - overall_stats['cts'].total_deaths)
 224         except:
 225             k_d_ratio = None
 226
 227         non_cts_deaths = os.total_deaths - overall_stats['cts'].total_deaths
 228
 229
 230         overall_stats['overall'] = OverallStats(
 231                 total_kills             = os.total_kills,
 232                 total_deaths            = non_cts_deaths,
 233                 k_d_ratio               = k_d_ratio,
 234                 last_played             = os.last_played,
 235                 last_played_epoch       = os.last_played_epoch,
 236                 last_played_fuzzy       = os.last_played_fuzzy,
 237                 total_playing_time      = os.total_playing_time,
 238                 total_playing_time_secs = os.total_playing_time_secs,
 239                 total_pickups           = os.total_pickups,
 240                 total_captures          = os.total_captures,
 241                 cap_ratio               = os.cap_ratio,
 242                 total_carrier_frags     = os.total_carrier_frags,
 243                 game_type_cd            = os.game_type_cd)
 244
 245     return overall_stats
 246
 247
 248 def get_fav_maps(player_id, game_type_cd=None):
 249     """
 250     Provides a breakdown of favorite maps by gametype.
 251
 252     Returns a dictionary of namedtuples with the following members:
 253         - game_type_cd
 254         - map_name (map name)
 255         - map_id
 256         - times_played
 257
 258     The favorite map is defined as the map you've played the most
 259     for the given game_type_cd.
 260
 261     The key to the dictionary is the game type code. There is also an
 262     "overall" game_type_cd which is the overall favorite map. This is
 263     defined as the favorite map of the game type you've played the
 264     most. The input parameter game_type_cd is for this.
 265     """
 266     FavMap = namedtuple('FavMap', ['map_name', 'map_id', 'times_played', 'game_type_cd'])
 267
 268     raw_favs = DBSession.query('game_type_cd', 'map_name',
 269             'map_id', 'times_played').\
 270             from_statement(
 271                 "SELECT game_type_cd, "
 272                        "name map_name, "
 273                        "map_id, "
 274                        "times_played "
 275                 "FROM   (SELECT g.game_type_cd, "
 276                                "m.name, "
 277                                "m.map_id, "
 278                                "Count(*) times_played, "
 279                                "Row_number() "
 280                                  "OVER ( "
 281                                    "partition BY g.game_type_cd "
 282                                    "ORDER BY Count(*) DESC, m.map_id ASC) rank "
 283                         "FROM   games g, "
 284                                "player_game_stats pgs, "
 285                                "maps m "
 286                         "WHERE  g.game_id = pgs.game_id "
 287                                "AND g.map_id = m.map_id "
 288                                "AND pgs.player_id = :player_id "
 289                         "GROUP  BY g.game_type_cd, "
 290                                   "m.map_id, "
 291                                   "m.name) most_played "
 292                 "WHERE  rank = 1 "
 293                 "ORDER BY  times_played desc "
 294             ).params(player_id=player_id).all()
 295
 296     fav_maps = {}
 297     overall_fav = None
 298     for row in raw_favs:
 299         fv = FavMap(map_name=row.map_name,
 300             map_id=row.map_id,
 301             times_played=row.times_played,
 302             game_type_cd=row.game_type_cd)
 303
 304         # if we aren't given a favorite game_type_cd
 305         # then the overall favorite is the one we've
 306         # played the most
 307         if overall_fav is None:
 308             fav_maps['overall'] = fv
 309             overall_fav = fv.game_type_cd
 310
 311         # otherwise it is the favorite map from the
 312         # favorite game_type_cd (provided as a param)
 313         # and we'll overwrite the first dict entry
 314         if game_type_cd == fv.game_type_cd:
 315             fav_maps['overall'] = fv
 316
 317         fav_maps[row.game_type_cd] = fv
 318
 319     return fav_maps
 320
 321
 322 def get_ranks(player_id):
 323     """
 324     Provides a breakdown of the player's ranks by game type.
 325
 326     Returns a dictionary of namedtuples with the following members:
 327         - game_type_cd
 328         - rank
 329         - max_rank
 330
 331     The key to the dictionary is the game type code. There is also an
 332     "overall" game_type_cd which is the overall best rank.
 333     """
 334     Rank = namedtuple('Rank', ['rank', 'max_rank', 'percentile', 'game_type_cd'])
 335
 336     raw_ranks = DBSession.query("game_type_cd", "rank", "max_rank").\
 337             from_statement(
 338                 "select pr.game_type_cd, pr.rank, overall.max_rank "
 339                 "from player_ranks pr,  "
 340                    "(select game_type_cd, max(rank) max_rank "
 341                     "from player_ranks  "
 342                     "group by game_type_cd) overall "
 343                 "where pr.game_type_cd = overall.game_type_cd  "
 344                 "and player_id = :player_id "
 345                 "order by rank").\
 346             params(player_id=player_id).all()
 347
 348     ranks = {}
 349     found_top_rank = False
 350     for row in raw_ranks:
 351         rank = Rank(rank=row.rank,
 352             max_rank=row.max_rank,
 353             percentile=100 - 100*float(row.rank-1)/(row.max_rank-1),
 354             game_type_cd=row.game_type_cd)
 355
 356
 357         if not found_top_rank:
 358             ranks['overall'] = rank
 359             found_top_rank = True
 360         elif rank.percentile > ranks['overall'].percentile:
 361             ranks['overall'] = rank
 362
 363         ranks[row.game_type_cd] = rank
 364
 365     return ranks;
 366
 367
 368 def get_elos(player_id):
 369     """
 370     Provides a breakdown of the player's elos by game type.
 371
 372     Returns a dictionary of namedtuples with the following members:
 373         - player_id
 374         - game_type_cd
 375         - games
 376         - elo
 377
 378     The key to the dictionary is the game type code. There is also an
 379     "overall" game_type_cd which is the overall best rank.
 380     """
 381     raw_elos = DBSession.query(PlayerElo).filter_by(player_id=player_id).\
 382             order_by(PlayerElo.elo.desc()).all()
 383
 384     elos = {}
 385     found_max_elo = False
 386     for row in raw_elos:
 387         if not found_max_elo:
 388             elos['overall'] = row
 389             found_max_elo = True
 390
 391         elos[row.game_type_cd] = row
 392
 393     return elos
 394
 395
 396 def get_recent_games(player_id):
 397     """
 398     Provides a list of recent games for a player. Uses the recent_games_q helper.
 399     """
 400     # recent games played in descending order
 401     rgs = recent_games_q(player_id=player_id, force_player_id=True).limit(10).all()
 402     recent_games = [RecentGame(row) for row in rgs]
 403
 404     return recent_games
 405
 406
 407 def get_recent_weapons(player_id):
 408     """
 409     Returns the weapons that have been used in the past 90 days
 410     and also used in 5 games or more.
 411     """
 412     cutoff = datetime.datetime.utcnow() - datetime.timedelta(days=90)
 413     recent_weapons = []
 414     for weapon in DBSession.query(PlayerWeaponStat.weapon_cd, func.count()).\
 415             filter(PlayerWeaponStat.player_id == player_id).\
 416             filter(PlayerWeaponStat.create_dt > cutoff).\
 417             group_by(PlayerWeaponStat.weapon_cd).\
 418             having(func.count() > 4).\
 419             all():
 420                 recent_weapons.append(weapon[0])
 421
 422     return recent_weapons
 423
 424
 425 def get_accuracy_stats(player_id, weapon_cd, games):
 426     """
 427     Provides accuracy for weapon_cd by player_id for the past N games.
 428     """
 429     # Reaching back 90 days should give us an accurate enough average
 430     # We then multiply this out for the number of data points (games) to
 431     # create parameters for a flot graph
 432     try:
 433         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.hit),
 434                 func.sum(PlayerWeaponStat.fired)).\
 435                 filter(PlayerWeaponStat.player_id == player_id).\
 436                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 437                 one()
 438
 439         avg = round(float(raw_avg[0])/raw_avg[1]*100, 2)
 440
 441         # Determine the raw accuracy (hit, fired) numbers for $games games
 442         # This is then enumerated to create parameters for a flot graph
 443         raw_accs = DBSession.query(PlayerWeaponStat.game_id,
 444             PlayerWeaponStat.hit, PlayerWeaponStat.fired).\
 445                 filter(PlayerWeaponStat.player_id == player_id).\
 446                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 447                 order_by(PlayerWeaponStat.game_id.desc()).\
 448                 limit(games).\
 449                 all()
 450
 451         # they come out in opposite order, so flip them in the right direction
 452         raw_accs.reverse()
 453
 454         accs = []
 455         for i in range(len(raw_accs)):
 456             accs.append((raw_accs[i][0], round(float(raw_accs[i][1])/raw_accs[i][2]*100, 2)))
 457     except:
 458         accs = []
 459         avg = 0.0
 460
 461     return (avg, accs)
 462
 463
 464 def get_damage_stats(player_id, weapon_cd, games):
 465     """
 466     Provides damage info for weapon_cd by player_id for the past N games.
 467     """
 468     try:
 469         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.actual),
 470                 func.sum(PlayerWeaponStat.hit)).\
 471                 filter(PlayerWeaponStat.player_id == player_id).\
 472                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 473                 one()
 474
 475         avg = round(float(raw_avg[0])/raw_avg[1], 2)
 476
 477         # Determine the damage efficiency (hit, fired) numbers for $games games
 478         # This is then enumerated to create parameters for a flot graph
 479         raw_dmgs = DBSession.query(PlayerWeaponStat.game_id,
 480             PlayerWeaponStat.actual, PlayerWeaponStat.hit).\
 481                 filter(PlayerWeaponStat.player_id == player_id).\
 482                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 483                 order_by(PlayerWeaponStat.game_id.desc()).\
 484                 limit(games).\
 485                 all()
 486
 487         # they come out in opposite order, so flip them in the right direction
 488         raw_dmgs.reverse()
 489
 490         dmgs = []
 491         for i in range(len(raw_dmgs)):
 492             # try to derive, unless we've hit nothing then set to 0!
 493             try:
 494                 dmg = round(float(raw_dmgs[i][1])/raw_dmgs[i][2], 2)
 495             except:
 496                 dmg = 0.0
 497
 498             dmgs.append((raw_dmgs[i][0], dmg))
 499     except Exception as e:
 500         dmgs = []
 501         avg = 0.0
 502
 503     return (avg, dmgs)
 504
 505
 506 def player_info_data(request):
 507     player_id = int(request.matchdict['id'])
 508     if player_id <= 2:
 509         player_id = -1;
 510
 511     try:
 512         player = DBSession.query(Player).filter_by(player_id=player_id).\
 513                 filter(Player.active_ind == True).one()
 514
 515         games_played   = get_games_played(player_id)
 516         overall_stats  = get_overall_stats(player_id)
 517         fav_maps       = get_fav_maps(player_id)
 518         elos           = get_elos(player_id)
 519         ranks          = get_ranks(player_id)
 520         recent_games   = get_recent_games(player_id)
 521         recent_weapons = get_recent_weapons(player_id)
 522
 523     except Exception as e:
 524         player         = None
 525         games_played   = None
 526         overall_stats  = None
 527         fav_maps       = None
 528         elos           = None
 529         ranks          = None
 530         recent_games   = None
 531         recent_weapons = []
 532         ## do not raise exceptions here (only for debugging)
 533         #raise e
 534
 535     return {'player':player,
 536             'games_played':games_played,
 537             'overall_stats':overall_stats,
 538             'fav_maps':fav_maps,
 539             'elos':elos,
 540             'ranks':ranks,
 541             'recent_games':recent_games,
 542             'recent_weapons':recent_weapons
 543             }
 544
 545
 546 def player_info(request):
 547     """
 548     Provides detailed information on a specific player
 549     """
 550     return player_info_data(request)
 551
 552
 553 def player_info_json(request):
 554     """
 555     Provides detailed information on a specific player. JSON.
 556     """
 557
 558     # All player_info fields are converted into JSON-formattable dictionaries
 559     player_info = player_info_data(request)
 560
 561     player = player_info['player'].to_dict()
 562
 563     games_played = {}
 564     for game in player_info['games_played']:
 565         games_played[game.game_type_cd] = to_json(game)
 566
 567     overall_stats = {}
 568     for gt,stats in player_info['overall_stats'].items():
 569         overall_stats[gt] = to_json(stats)
 570
 571     elos = {}
 572     for gt,elo in player_info['elos'].items():
 573         elos[gt] = to_json(elo.to_dict())
 574
 575     ranks = {}
 576     for gt,rank in player_info['ranks'].items():
 577         ranks[gt] = to_json(rank)
 578
 579     fav_maps = {}
 580     for gt,mapinfo in player_info['fav_maps'].items():
 581         fav_maps[gt] = to_json(mapinfo)
 582
 583     recent_games = []
 584     for game in player_info['recent_games']:
 585         recent_games.append(to_json(game))
 586
 587     #recent_weapons = player_info['recent_weapons']
 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     #    'recent_weapons':   recent_weapons,
 598         'recent_weapons':   ['not implemented'],
 599     }]
 600     #return [{'status':'not implemented'}]
 601
 602
 603 def player_game_index_data(request):
 604     player_id = request.matchdict['player_id']
 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         player = None
 645         games = None
 646         game_type_cd = None
 647         game_type_descr = None
 648         games_played = None
 649
 650     return {
 651             'player_id':player.player_id,
 652             'player':player,
 653             'games':games,
 654             'game_type_cd':game_type_cd,
 655             'game_type_descr':game_type_descr,
 656             'games_played':games_played,
 657            }
 658
 659
 660 def player_game_index(request):
 661     """
 662     Provides an index of the games in which a particular
 663     player was involved. This is ordered by game_id, with
 664     the most recent game_ids first. Paginated.
 665     """
 666     return player_game_index_data(request)
 667
 668
 669 def player_game_index_json(request):
 670     """
 671     Provides an index of the games in which a particular
 672     player was involved. This is ordered by game_id, with
 673     the most recent game_ids first. Paginated. JSON.
 674     """
 675     return [{'status':'not implemented'}]
 676
 677
 678 def player_accuracy_data(request):
 679     player_id = request.matchdict['id']
 680     allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']
 681     weapon_cd = 'nex'
 682     games = 20
 683
 684     if request.params.has_key('weapon'):
 685         if request.params['weapon'] in allowed_weapons:
 686             weapon_cd = request.params['weapon']
 687
 688     if request.params.has_key('games'):
 689         try:
 690             games = request.params['games']
 691
 692             if games < 0:
 693                 games = 20
 694             if games > 50:
 695                 games = 50
 696         except:
 697             games = 20
 698
 699     (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)
 700
 701     # if we don't have enough data for the given weapon
 702     if len(accs) < games:
 703         games = len(accs)
 704
 705     return {
 706             'player_id':player_id,
 707             'player_url':request.route_url('player_info', id=player_id),
 708             'weapon':weapon_cd,
 709             'games':games,
 710             'avg':avg,
 711             'accs':accs
 712             }
 713
 714
 715 def player_accuracy(request):
 716     """
 717     Provides the accuracy for the given weapon. (JSON only)
 718     """
 719     return player_accuracy_data(request)
 720
 721
 722 def player_accuracy_json(request):
 723     """
 724     Provides a JSON response representing the accuracy for the given weapon.
 725
 726     Parameters:
 727        weapon = which weapon to display accuracy for. Valid values are 'nex',
 728                 'shotgun', 'uzi', and 'minstanex'.
 729        games = over how many games to display accuracy. Can be up to 50.
 730     """
 731     return player_accuracy_data(request)
 732
 733
 734 def player_damage_data(request):
 735     player_id = request.matchdict['id']
 736     allowed_weapons = ['grenadelauncher', 'electro', 'crylink', 'hagar',
 737             'rocketlauncher', 'laser']
 738     weapon_cd = 'rocketlauncher'
 739     games = 20
 740
 741     if request.params.has_key('weapon'):
 742         if request.params['weapon'] in allowed_weapons:
 743             weapon_cd = request.params['weapon']
 744
 745     if request.params.has_key('games'):
 746         try:
 747             games = request.params['games']
 748
 749             if games < 0:
 750                 games = 20
 751             if games > 50:
 752                 games = 50
 753         except:
 754             games = 20
 755
 756     (avg, dmgs) = get_damage_stats(player_id, weapon_cd, games)
 757
 758     # if we don't have enough data for the given weapon
 759     if len(dmgs) < games:
 760         games = len(dmgs)
 761
 762     return {
 763             'player_id':player_id,
 764             'player_url':request.route_url('player_info', id=player_id),
 765             'weapon':weapon_cd,
 766             'games':games,
 767             'avg':avg,
 768             'dmgs':dmgs
 769             }
 770
 771
 772 def player_damage_json(request):
 773     """
 774     Provides a JSON response representing the damage for the given weapon.
 775
 776     Parameters:
 777        weapon = which weapon to display damage for. Valid values are
 778          'grenadelauncher', 'electro', 'crylink', 'hagar', 'rocketlauncher',
 779          'laser'.
 780        games = over how many games to display damage. Can be up to 50.
 781     """
 782     return player_damage_data(request)
 783
 784
 785 def player_hashkey_info_data(request):
 786     hashkey = request.matchdict['hashkey']
 787     try:
 788         player = DBSession.query(Player).\
 789                 filter(Player.player_id == Hashkey.player_id).\
 790                 filter(Player.active_ind == True).\
 791                 filter(Hashkey.hashkey == hashkey).one()
 792
 793         games_played   = get_games_played(player.player_id)
 794         overall_stats  = get_overall_stats(player.player_id)
 795         fav_maps       = get_fav_maps(player.player_id)
 796         elos           = get_elos(player.player_id)
 797         ranks          = get_ranks(player.player_id)
 798
 799     except Exception as e:
 800         raise pyramid.httpexceptions.HTTPNotFound
 801
 802     return {'player':player,
 803             'hashkey':hashkey,
 804             'games_played':games_played,
 805             'overall_stats':overall_stats,
 806             'fav_maps':fav_maps,
 807             'elos':elos,
 808             'ranks':ranks,
 809             }
 810
 811
 812 def player_hashkey_info_json(request):
 813     """
 814     Provides detailed information on a specific player. JSON.
 815     """
 816
 817     # All player_info fields are converted into JSON-formattable dictionaries
 818     player_info = player_hashkey_info_data(request)
 819
 820     player = player_info['player'].to_dict()
 821
 822     games_played = {}
 823     for game in player_info['games_played']:
 824         games_played[game.game_type_cd] = to_json(game)
 825
 826     overall_stats = {}
 827     for gt,stats in player_info['overall_stats'].items():
 828         overall_stats[gt] = to_json(stats)
 829
 830     elos = {}
 831     for gt,elo in player_info['elos'].items():
 832         elos[gt] = to_json(elo.to_dict())
 833
 834     ranks = {}
 835     for gt,rank in player_info['ranks'].items():
 836         ranks[gt] = to_json(rank)
 837
 838     fav_maps = {}
 839     for gt,mapinfo in player_info['fav_maps'].items():
 840         fav_maps[gt] = to_json(mapinfo)
 841
 842     return [{
 843         'version':          1,
 844         'player':           player,
 845         'games_played':     games_played,
 846         'overall_stats':    overall_stats,
 847         'fav_maps':         fav_maps,
 848         'elos':             elos,
 849         'ranks':            ranks,
 850     }]
 851
 852
 853 def player_hashkey_info_text(request):
 854     """
 855     Provides detailed information on a specific player. Plain text.
 856     """
 857     # UTC epoch
 858     now = timegm(datetime.datetime.utcnow().timetuple())
 859
 860     # All player_info fields are converted into JSON-formattable dictionaries
 861     player_info = player_hashkey_info_data(request)
 862
 863     # gather all of the data up into aggregate structures
 864     player = player_info['player']
 865     games_played = player_info['games_played']
 866     overall_stats = player_info['overall_stats']
 867     elos = player_info['elos']
 868     ranks = player_info['ranks']
 869     fav_maps = player_info['fav_maps']
 870
 871     # one-offs for things needing conversion for text/plain
 872     player_joined = timegm(player.create_dt.timetuple())
 873     alivetime = int(datetime_seconds(overall_stats['overall'].total_playing_time))
 874
 875     # this is a plain text response, if we don't do this here then
 876     # Pyramid will assume html
 877     request.response.content_type = 'text/plain'
 878
 879     return {
 880         'version':          1,
 881         'now':              now,
 882         'player':           player,
 883         'hashkey':          player_info['hashkey'],
 884         'player_joined':    player_joined,
 885         'games_played':     games_played,
 886         'overall_stats':    overall_stats,
 887         'alivetime':        alivetime,
 888         'fav_maps':         fav_maps,
 889         'elos':             elos,
 890         'ranks':            ranks,
 891     }
 892
 893
 894 def player_elo_info_data(request):
 895     """
 896     Provides elo information on a specific player. Raw data is returned.
 897     """
 898     hashkey = request.matchdict['hashkey']
 899     try:
 900         player = DBSession.query(Player).\
 901                 filter(Player.player_id == Hashkey.player_id).\
 902                 filter(Player.active_ind == True).\
 903                 filter(Hashkey.hashkey == hashkey).one()
 904
 905         elos = get_elos(player.player_id)
 906
 907     except Exception as e:
 908         log.debug(e)
 909         raise pyramid.httpexceptions.HTTPNotFound
 910
 911     return {'elos':elos}
 912
 913
 914 def player_elo_info_json(request):
 915     """
 916     Provides elo information on a specific player. JSON.
 917     """
 918     elo_info = player_elo_info_data(request)
 919
 920     elos = {}
 921     for gt, elo in elo_info['elos'].items():
 922         elos[gt] = to_json(elo.to_dict())
 923
 924     return [{
 925         'version':          1,
 926         'elos':             elos,
 927     }]
 928
 929 def player_captimes_data(request):
 930     player_id = int(request.matchdict['id'])
 931     if player_id <= 2:
 932         player_id = -1;
 933
 934     PlayerCaptimes = namedtuple('PlayerCaptimes', ['fastest_cap', 'create_dt', 'create_dt_epoch', 'create_dt_fuzzy',
 935         'player_id', 'game_id', 'map_id', 'map_name', 'server_id', 'server_name'])
 936
 937     dbquery = DBSession.query('fastest_cap', 'create_dt', 'player_id', 'game_id', 'map_id',
 938                 'map_name', 'server_id', 'server_name').\
 939             from_statement(
 940                 "SELECT ct.fastest_cap, "
 941                        "ct.create_dt, "
 942                        "ct.player_id, "
 943                        "ct.game_id, "
 944                        "ct.map_id, "
 945                        "m.name map_name, "
 946                        "g.server_id, "
 947                        "s.name server_name "
 948                 "FROM   player_map_captimes ct, "
 949                        "games g, "
 950                        "maps m, "
 951                        "servers s "
 952                 "WHERE  ct.player_id = :player_id "
 953                   "AND  g.game_id = ct.game_id "
 954                   "AND  g.server_id = s.server_id "
 955                   "AND  m.map_id = ct.map_id "
 956                 #"ORDER  BY ct.fastest_cap "
 957                 "ORDER  BY ct.create_dt desc"
 958             ).params(player_id=player_id).all()
 959
 960     player = DBSession.query(Player).filter_by(player_id=player_id).one()
 961
 962     player_captimes = []
 963     for row in dbquery:
 964         player_captimes.append(PlayerCaptimes(
 965                 fastest_cap=row.fastest_cap,
 966                 create_dt=row.create_dt,
 967                 create_dt_epoch=timegm(row.create_dt.timetuple()),
 968                 create_dt_fuzzy=pretty_date(row.create_dt),
 969                 player_id=row.player_id,
 970                 game_id=row.game_id,
 971                 map_id=row.map_id,
 972                 map_name=row.map_name,
 973                 server_id=row.server_id,
 974                 server_name=row.server_name,
 975             ))
 976
 977     return {
 978             'captimes':player_captimes,
 979             'player_id':player_id,
 980             'player_url':request.route_url('player_info', id=player_id),
 981             'player':player,
 982         }
 983
 984 def player_captimes(request):
 985     return player_captimes_data(request)
 986
 987 def player_captimes_json(request):
 988     return player_captimes_data(request)