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