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