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 player_info_data(request):
 498     player_id = int(request.matchdict['id'])
 499     if player_id <= 2:
 500         player_id = -1;
 501
 502     try:
 503         player = DBSession.query(Player).filter_by(player_id=player_id).\
 504                 filter(Player.active_ind == True).one()
 505
 506         games_played   = get_games_played(player_id)
 507         overall_stats  = get_overall_stats(player_id)
 508         fav_maps       = get_fav_maps(player_id)
 509         elos           = get_elos(player_id)
 510         ranks          = get_ranks(player_id)
 511         recent_games   = get_recent_games(player_id)
 512         cake_day       = is_cake_day(player.create_dt)
 513
 514     except Exception as e:
 515         raise pyramid.httpexceptions.HTTPNotFound
 516
 517         ## do not raise application exceptions here (only for debugging)
 518         # raise e
 519
 520     return {'player':player,
 521             'games_played':games_played,
 522             'overall_stats':overall_stats,
 523             'fav_maps':fav_maps,
 524             'elos':elos,
 525             'ranks':ranks,
 526             'recent_games':recent_games,
 527             'cake_day':cake_day,
 528             }
 529
 530
 531 def player_info(request):
 532     """
 533     Provides detailed information on a specific player
 534     """
 535     return player_info_data(request)
 536
 537
 538 def player_info_json(request):
 539     """
 540     Provides detailed information on a specific player. JSON.
 541     """
 542
 543     # All player_info fields are converted into JSON-formattable dictionaries
 544     player_info = player_info_data(request)
 545
 546     player = player_info['player'].to_dict()
 547
 548     games_played = {}
 549     for game in player_info['games_played']:
 550         games_played[game.game_type_cd] = to_json(game)
 551
 552     overall_stats = {}
 553     for gt,stats in player_info['overall_stats'].items():
 554         overall_stats[gt] = to_json(stats)
 555
 556     elos = {}
 557     for gt,elo in player_info['elos'].items():
 558         elos[gt] = to_json(elo.to_dict())
 559
 560     ranks = {}
 561     for gt,rank in player_info['ranks'].items():
 562         ranks[gt] = to_json(rank)
 563
 564     fav_maps = {}
 565     for gt,mapinfo in player_info['fav_maps'].items():
 566         fav_maps[gt] = to_json(mapinfo)
 567
 568     recent_games = [g.to_dict() for g in player_info['recent_games']]
 569
 570     return [{
 571         'player':           player,
 572         'games_played':     games_played,
 573         'overall_stats':    overall_stats,
 574         'fav_maps':         fav_maps,
 575         'elos':             elos,
 576         'ranks':            ranks,
 577         'recent_games':     recent_games,
 578     }]
 579
 580
 581 def player_game_index_data(request):
 582     try:
 583         player_id = int(request.matchdict['player_id'])
 584     except:
 585         player_id = -1
 586
 587     game_type_cd = None
 588     game_type_descr = None
 589
 590     if request.params.has_key('type'):
 591         game_type_cd = request.params['type']
 592         try:
 593             game_type_descr = DBSession.query(GameType.descr).\
 594                 filter(GameType.game_type_cd == game_type_cd).\
 595                 one()[0]
 596         except Exception as e:
 597             pass
 598
 599     else:
 600         game_type_cd = None
 601         game_type_descr = None
 602
 603     if request.params.has_key('page'):
 604         current_page = request.params['page']
 605     else:
 606         current_page = 1
 607
 608     try:
 609         player = DBSession.query(Player).\
 610                 filter_by(player_id=player_id).\
 611                 filter(Player.active_ind == True).\
 612                 one()
 613
 614         rgs_q = recent_games_q(player_id=player.player_id,
 615             force_player_id=True, game_type_cd=game_type_cd)
 616
 617         games = Page(rgs_q, current_page, items_per_page=20, url=page_url)
 618
 619         # replace the items in the canned pagination class with more rich ones
 620         games.items = [RecentGame(row) for row in games.items]
 621
 622         games_played = get_games_played(player_id)
 623
 624     except Exception as e:
 625         raise e
 626         player = None
 627         games = None
 628         game_type_cd = None
 629         game_type_descr = None
 630         games_played = None
 631
 632     return {
 633             'player_id':player.player_id,
 634             'player':player,
 635             'games':games,
 636             'game_type_cd':game_type_cd,
 637             'game_type_descr':game_type_descr,
 638             'games_played':games_played,
 639            }
 640
 641
 642 def player_game_index(request):
 643     """
 644     Provides an index of the games in which a particular
 645     player was involved. This is ordered by game_id, with
 646     the most recent game_ids first. Paginated.
 647     """
 648     return player_game_index_data(request)
 649
 650
 651 def player_game_index_json(request):
 652     """
 653     Provides an index of the games in which a particular
 654     player was involved. This is ordered by game_id, with
 655     the most recent game_ids first. Paginated. JSON.
 656     """
 657     return [{'status':'not implemented'}]
 658
 659
 660 def player_accuracy_data(request):
 661     player_id = request.matchdict['id']
 662     allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']
 663     weapon_cd = 'nex'
 664     games = 20
 665
 666     if request.params.has_key('weapon'):
 667         if request.params['weapon'] in allowed_weapons:
 668             weapon_cd = request.params['weapon']
 669
 670     if request.params.has_key('games'):
 671         try:
 672             games = request.params['games']
 673
 674             if games < 0:
 675                 games = 20
 676             if games > 50:
 677                 games = 50
 678         except:
 679             games = 20
 680
 681     (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)
 682
 683     # if we don't have enough data for the given weapon
 684     if len(accs) < games:
 685         games = len(accs)
 686
 687     return {
 688             'player_id':player_id,
 689             'player_url':request.route_url('player_info', id=player_id),
 690             'weapon':weapon_cd,
 691             'games':games,
 692             'avg':avg,
 693             'accs':accs
 694             }
 695
 696
 697 def player_accuracy(request):
 698     """
 699     Provides the accuracy for the given weapon. (JSON only)
 700     """
 701     return player_accuracy_data(request)
 702
 703
 704 def player_accuracy_json(request):
 705     """
 706     Provides a JSON response representing the accuracy for the given weapon.
 707
 708     Parameters:
 709        weapon = which weapon to display accuracy for. Valid values are 'nex',
 710                 'shotgun', 'uzi', and 'minstanex'.
 711        games = over how many games to display accuracy. Can be up to 50.
 712     """
 713     return player_accuracy_data(request)
 714
 715
 716 def player_damage_data(request):
 717     player_id = request.matchdict['id']
 718     allowed_weapons = ['grenadelauncher', 'electro', 'crylink', 'hagar',
 719             'rocketlauncher', 'laser']
 720     weapon_cd = 'rocketlauncher'
 721     games = 20
 722
 723     if request.params.has_key('weapon'):
 724         if request.params['weapon'] in allowed_weapons:
 725             weapon_cd = request.params['weapon']
 726
 727     if request.params.has_key('games'):
 728         try:
 729             games = request.params['games']
 730
 731             if games < 0:
 732                 games = 20
 733             if games > 50:
 734                 games = 50
 735         except:
 736             games = 20
 737
 738     (avg, dmgs) = get_damage_stats(player_id, weapon_cd, games)
 739
 740     # if we don't have enough data for the given weapon
 741     if len(dmgs) < games:
 742         games = len(dmgs)
 743
 744     return {
 745             'player_id':player_id,
 746             'player_url':request.route_url('player_info', id=player_id),
 747             'weapon':weapon_cd,
 748             'games':games,
 749             'avg':avg,
 750             'dmgs':dmgs
 751             }
 752
 753
 754 def player_damage_json(request):
 755     """
 756     Provides a JSON response representing the damage for the given weapon.
 757
 758     Parameters:
 759        weapon = which weapon to display damage for. Valid values are
 760          'grenadelauncher', 'electro', 'crylink', 'hagar', 'rocketlauncher',
 761          'laser'.
 762        games = over how many games to display damage. Can be up to 50.
 763     """
 764     return player_damage_data(request)
 765
 766
 767 def player_hashkey_info_data(request):
 768     # hashkey = request.matchdict['hashkey']
 769
 770     # the incoming hashkey is double quoted, and WSGI unquotes once...
 771     # hashkey = unquote(hashkey)
 772
 773     # if using request verification to obtain the hashkey
 774     (idfp, status) = verify_request(request)
 775     log.debug("d0_blind_id verification: idfp={0} status={1}\n".format(idfp, status))
 776
 777     log.debug("\n----- BEGIN REQUEST BODY -----\n" + request.body +
 778             "----- END REQUEST BODY -----\n\n")
 779
 780     # if config is to *not* verify requests and we get nothing back, this
 781     # query will return nothing and we'll 404.
 782     try:
 783         player = DBSession.query(Player).\
 784                 filter(Player.player_id == Hashkey.player_id).\
 785                 filter(Player.active_ind == True).\
 786                 filter(Hashkey.hashkey == idfp).one()
 787
 788         games_played      = get_games_played(player.player_id)
 789         overall_stats     = get_overall_stats(player.player_id)
 790         fav_maps          = get_fav_maps(player.player_id)
 791         elos              = get_elos(player.player_id)
 792         ranks             = get_ranks(player.player_id)
 793         most_recent_game  = get_recent_games(player.player_id, 1)[0]
 794
 795     except Exception as e:
 796         raise pyramid.httpexceptions.HTTPNotFound
 797
 798     return {'player':player,
 799             'hashkey':idfp,
 800             'games_played':games_played,
 801             'overall_stats':overall_stats,
 802             'fav_maps':fav_maps,
 803             'elos':elos,
 804             'ranks':ranks,
 805             'most_recent_game':most_recent_game,
 806             }
 807
 808
 809 def player_hashkey_info_json(request):
 810     """
 811     Provides detailed information on a specific player. JSON.
 812     """
 813
 814     # All player_info fields are converted into JSON-formattable dictionaries
 815     player_info = player_hashkey_info_data(request)
 816
 817     player = player_info['player'].to_dict()
 818
 819     games_played = {}
 820     for game in player_info['games_played']:
 821         games_played[game.game_type_cd] = to_json(game)
 822
 823     overall_stats = {}
 824     for gt,stats in player_info['overall_stats'].items():
 825         overall_stats[gt] = to_json(stats)
 826
 827     elos = {}
 828     for gt,elo in player_info['elos'].items():
 829         elos[gt] = to_json(elo.to_dict())
 830
 831     ranks = {}
 832     for gt,rank in player_info['ranks'].items():
 833         ranks[gt] = to_json(rank)
 834
 835     fav_maps = {}
 836     for gt,mapinfo in player_info['fav_maps'].items():
 837         fav_maps[gt] = to_json(mapinfo)
 838
 839     most_recent_game = to_json(player_info['most_recent_game'])
 840
 841     return [{
 842         'version':          1,
 843         'player':           player,
 844         'games_played':     games_played,
 845         'overall_stats':    overall_stats,
 846         'fav_maps':         fav_maps,
 847         'elos':             elos,
 848         'ranks':            ranks,
 849         'most_recent_game': most_recent_game,
 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     most_recent_game = player_info['most_recent_game']
 871
 872     # one-offs for things needing conversion for text/plain
 873     player_joined = timegm(player.create_dt.timetuple())
 874     player_joined_dt = player.create_dt
 875     alivetime = int(datetime_seconds(overall_stats['overall'].total_playing_time))
 876
 877     # this is a plain text response, if we don't do this here then
 878     # Pyramid will assume html
 879     request.response.content_type = 'text/plain'
 880
 881     return {
 882         'version':          1,
 883         'now':              now,
 884         'player':           player,
 885         'hashkey':          player_info['hashkey'],
 886         'player_joined':    player_joined,
 887         'player_joined_dt': player_joined_dt,
 888         'games_played':     games_played,
 889         'overall_stats':    overall_stats,
 890         'alivetime':        alivetime,
 891         'fav_maps':         fav_maps,
 892         'elos':             elos,
 893         'ranks':            ranks,
 894         'most_recent_game': most_recent_game,
 895     }
 896
 897
 898 def player_elo_info_data(request):
 899     """
 900     Provides elo information on a specific player. Raw data is returned.
 901     """
 902     (idfp, status) = verify_request(request)
 903     log.debug("d0_blind_id verification: idfp={0} status={1}\n".format(idfp, status))
 904
 905     log.debug("\n----- BEGIN REQUEST BODY -----\n" + request.body +
 906             "----- END REQUEST BODY -----\n\n")
 907
 908     hashkey = request.matchdict['hashkey']
 909
 910     # the incoming hashkey is double quoted, and WSGI unquotes once...
 911     hashkey = unquote(hashkey)
 912
 913     try:
 914         player = DBSession.query(Player).\
 915                 filter(Player.player_id == Hashkey.player_id).\
 916                 filter(Player.active_ind == True).\
 917                 filter(Hashkey.hashkey == hashkey).one()
 918
 919         elos = get_elos(player.player_id)
 920
 921     except Exception as e:
 922         log.debug(e)
 923         raise pyramid.httpexceptions.HTTPNotFound
 924
 925     return {
 926         'hashkey':hashkey,
 927         'player':player,
 928         'elos':elos,
 929     }
 930
 931
 932 def player_elo_info_json(request):
 933     """
 934     Provides elo information on a specific player. JSON.
 935     """
 936     elo_info = player_elo_info_data(request)
 937
 938     player = player_info['player'].to_dict()
 939
 940     elos = {}
 941     for gt, elo in elo_info['elos'].items():
 942         elos[gt] = to_json(elo.to_dict())
 943
 944     return [{
 945         'version':          1,
 946         'player':           player,
 947         'elos':             elos,
 948     }]
 949
 950
 951 def player_elo_info_text(request):
 952     """
 953     Provides elo information on a specific player. Plain text.
 954     """
 955     # UTC epoch
 956     now = timegm(datetime.datetime.utcnow().timetuple())
 957
 958     # All player_info fields are converted into JSON-formattable dictionaries
 959     elo_info = player_elo_info_data(request)
 960
 961     # this is a plain text response, if we don't do this here then
 962     # Pyramid will assume html
 963     request.response.content_type = 'text/plain'
 964
 965     return {
 966         'version':          1,
 967         'now':              now,
 968         'hashkey':          elo_info['hashkey'],
 969         'player':           elo_info['player'],
 970         'elos':             elo_info['elos'],
 971     }
 972
 973
 974 def player_captimes_data(request):
 975     player_id = int(request.matchdict['player_id'])
 976     if player_id <= 2:
 977         player_id = -1;
 978
 979     page = request.params.get("page", 1)
 980
 981     sort = request.params.get("sort", "create_dt")
 982
 983     try:
 984         player = DBSession.query(Player).filter_by(player_id=player_id).one()
 985
 986         pct_q = DBSession.query(PlayerCaptime.fastest_cap, PlayerCaptime.create_dt,
 987                 PlayerCaptime.player_id, PlayerCaptime.game_id, PlayerCaptime.map_id,
 988                 Map.name.label('map_name'), Game.server_id, Server.name.label('server_name')).\
 989                 filter(PlayerCaptime.player_id==player_id).\
 990                 filter(PlayerCaptime.game_id==Game.game_id).\
 991                 filter(PlayerCaptime.map_id==Map.map_id).\
 992                 filter(Game.server_id==Server.server_id)
 993
 994         if sort == "fastest":
 995             pct_q = pct_q.order_by(PlayerCaptime.fastest_cap)
 996         else:
 997             sort = "create_dt"
 998             pct_q = pct_q.order_by(expr.desc(PlayerCaptime.create_dt))
 999
1000     except Exception as e:
1001         raise pyramid.httpexceptions.HTTPNotFound
1002
1003     captimes = Page(pct_q, page, items_per_page=20, url=page_url)
1004
1005     # replace the items in the canned pagination class with more rich ones
1006     captimes.items = [PlayerCapTime(row) for row in captimes.items]
1007
1008     return {
1009             "player_id" : player_id,
1010             "player"    : player,
1011             "captimes"  : captimes,
1012             "page"      : page,
1013             "sort"      : sort,
1014         }
1015
1016
1017 def player_captimes(request):
1018     return player_captimes_data(request)
1019
1020
1021 def player_captimes_json(request):
1022     data = player_captimes_data(request)
1023     page = request.params.get("page", 1)
1024
1025     # perform any necessary JSON conversions
1026     player_id = data["player_id"]
1027     player = data["player"].to_dict()
1028     captimes = [ct.to_dict() for ct in data["captimes"].items]
1029
1030     return {
1031             "player"    : player,
1032             "captimes"  : captimes,
1033             "page"      : page,
1034             }
1035
1036
1037 def player_weaponstats_data_json(request):
1038     player_id = int(request.matchdict["id"])
1039     if player_id <= 2:
1040         player_id = -1;
1041
1042     game_type_cd = request.params.get("game_type", None)
1043     if game_type_cd == "overall":
1044         game_type_cd = None
1045
1046     limit = 20
1047     if request.params.has_key("limit"):
1048         limit = int(request.params["limit"])
1049
1050         if limit < 0:
1051             limit = 20
1052         if limit > 50:
1053             limit = 50
1054
1055
1056     # the game_ids of the most recently played ones
1057     # of the given game type is used for a subquery
1058     games_list = DBSession.query(Game.game_id).\
1059             filter(Game.players.contains([player_id]))
1060
1061     if game_type_cd is not None:
1062         games_list = games_list.filter(Game.game_type_cd == game_type_cd)
1063
1064     games_list = games_list.order_by(Game.game_id.desc()).limit(limit)
1065
1066     weapon_stats_raw = DBSession.query(PlayerWeaponStat).\
1067         filter(PlayerWeaponStat.player_id == player_id).\
1068         filter(PlayerWeaponStat.game_id.in_(games_list)).\
1069         all()
1070
1071     games_to_weapons = {}
1072     weapons_used = {}
1073     sum_avgs = {}
1074     for ws in weapon_stats_raw:
1075         if ws.game_id not in games_to_weapons:
1076             games_to_weapons[ws.game_id] = [ws.weapon_cd]
1077         else:
1078             games_to_weapons[ws.game_id].append(ws.weapon_cd)
1079
1080         weapons_used[ws.weapon_cd] = weapons_used.get(ws.weapon_cd, 0) + 1
1081         sum_avgs[ws.weapon_cd] = sum_avgs.get(ws.weapon_cd, 0) + float(ws.hit)/float(ws.fired)
1082
1083     # Creating zero-valued weapon stat entries for games where a weapon was not
1084     # used in that game, but was used in another game for the set. This makes
1085     # the charts look smoother
1086     for game_id in games_to_weapons.keys():
1087         for weapon_cd in set(weapons_used.keys()) - set(games_to_weapons[game_id]):
1088             weapon_stats_raw.append(PlayerWeaponStat(player_id=player_id,
1089                 game_id=game_id, weapon_cd=weapon_cd))
1090
1091     # averages for the weapons used in the range
1092     avgs = {}
1093     for w in weapons_used.keys():
1094         avgs[w] = round(sum_avgs[w]/float(weapons_used[w])*100, 2)
1095
1096     weapon_stats_raw = sorted(weapon_stats_raw, key = lambda x: x.game_id)
1097     games            = sorted(games_to_weapons.keys())
1098     weapon_stats     = [ws.to_dict() for ws in weapon_stats_raw]
1099
1100     return {
1101         "weapon_stats": weapon_stats,
1102         "weapons_used": weapons_used.keys(),
1103         "games": games,
1104         "averages": avgs,
1105     }
1106
1107
1108 def player_versus_data(request):
1109     try:
1110         p1_id = int(request.params.get("p1", None))
1111         p2_id = int(request.params.get("p2", None))
1112
1113         p1_wins = 0
1114         p2_wins = 0
1115
1116         players = DBSession.query(Player).filter(sa.or_(Player.player_id ==
1117             p1_id, Player.player_id == p2_id)).order_by(Player.player_id).all()
1118
1119
1120         if len(players) < 2:
1121             raise Exception("Not enough players found.")
1122
1123         # assign the players from the array retrieved above
1124         if players[0].player_id == p1_id:
1125             p1 = players[0]
1126             p2 = players[1]
1127         else:
1128             p1 = players[1]
1129             p2 = players[0]
1130
1131         # note that wins and losses are from p1's perspective
1132         win_loss_sql = """select win_loss, count(1)
1133             from (
1134               select case
1135                 when pgsp1.score >= pgsp2.score then 'win'
1136                 else 'loss'
1137               end win_loss
1138               from games g join player_game_stats pgsp1
1139                 on g.game_id = pgsp1.game_id and pgsp1.player_id = :p1
1140               join player_game_stats pgsp2
1141                 on g.game_id = pgsp2.game_id and pgsp2.player_id = :p2
1142               where g.players @> ARRAY[:p1,:p2]
1143               and g.game_type_cd = 'duel'
1144               and pgsp1.create_dt between g.create_dt - interval '1 hour'
1145                 and g.create_dt + interval '1 hour'
1146               and pgsp2.create_dt between g.create_dt - interval '1 hour'
1147                 and g.create_dt + interval '1 hour'
1148             ) wl
1149             group by win_loss
1150             """
1151
1152         wins_losses = DBSession.query("win_loss", "count").\
1153                 from_statement(win_loss_sql).\
1154                 params(p1=p1_id, p2=p2_id).all()
1155
1156         for row in wins_losses:
1157             if row.win_loss == "win":
1158                 p1_wins = row.count
1159             elif row.win_loss == "loss":
1160                 p2_wins = row.count
1161
1162         # grab the 20 most recent games between the two
1163         rgs_raw = recent_games_q(player_id=p1_id, player_id_2=p2_id,
1164                 game_type_cd="duel").limit(20).all()
1165
1166         rgs = [RecentGame(row) for row in rgs_raw]
1167
1168     except Exception as e:
1169         log.debug(e)
1170         raise pyramid.httpexceptions.HTTPNotFound
1171
1172     return {
1173             "p1" : p1,
1174             "p2" : p2,
1175             "p1_wins" : p1_wins,
1176             "p2_wins" : p2_wins,
1177             "recent_games" : rgs,
1178         }
1179
1180
1181 def player_versus(request):
1182     return player_versus_data(request)