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_recent_weapons(player_id):
 413     """
 414     Returns the weapons that have been used in the past 90 days
 415     and also used in 5 games or more.
 416     """
 417     cutoff = datetime.datetime.utcnow() - datetime.timedelta(days=90)
 418     recent_weapons = []
 419     for weapon in DBSession.query(PlayerWeaponStat.weapon_cd, func.count()).\
 420             filter(PlayerWeaponStat.player_id == player_id).\
 421             filter(PlayerWeaponStat.create_dt > cutoff).\
 422             group_by(PlayerWeaponStat.weapon_cd).\
 423             having(func.count() > 4).\
 424             all():
 425                 recent_weapons.append(weapon[0])
 426
 427     return recent_weapons
 428
 429
 430 def get_accuracy_stats(player_id, weapon_cd, games):
 431     """
 432     Provides accuracy for weapon_cd by player_id for the past N games.
 433     """
 434     # Reaching back 90 days should give us an accurate enough average
 435     # We then multiply this out for the number of data points (games) to
 436     # create parameters for a flot graph
 437     try:
 438         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.hit),
 439                 func.sum(PlayerWeaponStat.fired)).\
 440                 filter(PlayerWeaponStat.player_id == player_id).\
 441                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 442                 one()
 443
 444         avg = round(float(raw_avg[0])/raw_avg[1]*100, 2)
 445
 446         # Determine the raw accuracy (hit, fired) numbers for $games games
 447         # This is then enumerated to create parameters for a flot graph
 448         raw_accs = DBSession.query(PlayerWeaponStat.game_id,
 449             PlayerWeaponStat.hit, PlayerWeaponStat.fired).\
 450                 filter(PlayerWeaponStat.player_id == player_id).\
 451                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 452                 order_by(PlayerWeaponStat.game_id.desc()).\
 453                 limit(games).\
 454                 all()
 455
 456         # they come out in opposite order, so flip them in the right direction
 457         raw_accs.reverse()
 458
 459         accs = []
 460         for i in range(len(raw_accs)):
 461             accs.append((raw_accs[i][0], round(float(raw_accs[i][1])/raw_accs[i][2]*100, 2)))
 462     except:
 463         accs = []
 464         avg = 0.0
 465
 466     return (avg, accs)
 467
 468
 469 def get_damage_stats(player_id, weapon_cd, games):
 470     """
 471     Provides damage info for weapon_cd by player_id for the past N games.
 472     """
 473     try:
 474         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.actual),
 475                 func.sum(PlayerWeaponStat.hit)).\
 476                 filter(PlayerWeaponStat.player_id == player_id).\
 477                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 478                 one()
 479
 480         avg = round(float(raw_avg[0])/raw_avg[1], 2)
 481
 482         # Determine the damage efficiency (hit, fired) numbers for $games games
 483         # This is then enumerated to create parameters for a flot graph
 484         raw_dmgs = DBSession.query(PlayerWeaponStat.game_id,
 485             PlayerWeaponStat.actual, PlayerWeaponStat.hit).\
 486                 filter(PlayerWeaponStat.player_id == player_id).\
 487                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 488                 order_by(PlayerWeaponStat.game_id.desc()).\
 489                 limit(games).\
 490                 all()
 491
 492         # they come out in opposite order, so flip them in the right direction
 493         raw_dmgs.reverse()
 494
 495         dmgs = []
 496         for i in range(len(raw_dmgs)):
 497             # try to derive, unless we've hit nothing then set to 0!
 498             try:
 499                 dmg = round(float(raw_dmgs[i][1])/raw_dmgs[i][2], 2)
 500             except:
 501                 dmg = 0.0
 502
 503             dmgs.append((raw_dmgs[i][0], dmg))
 504     except Exception as e:
 505         dmgs = []
 506         avg = 0.0
 507
 508     return (avg, dmgs)
 509
 510
 511 def player_info_data(request):
 512     player_id = int(request.matchdict['id'])
 513     if player_id <= 2:
 514         player_id = -1;
 515
 516     try:
 517         player = DBSession.query(Player).filter_by(player_id=player_id).\
 518                 filter(Player.active_ind == True).one()
 519
 520         games_played   = get_games_played(player_id)
 521         overall_stats  = get_overall_stats(player_id)
 522         fav_maps       = get_fav_maps(player_id)
 523         elos           = get_elos(player_id)
 524         ranks          = get_ranks(player_id)
 525         recent_games   = get_recent_games(player_id)
 526         recent_weapons = get_recent_weapons(player_id)
 527         cake_day       = is_cake_day(player.create_dt)
 528
 529     except Exception as e:
 530         raise pyramid.httpexceptions.HTTPNotFound
 531
 532         ## do not raise application exceptions here (only for debugging)
 533         # raise e
 534
 535     return {'player':player,
 536             'games_played':games_played,
 537             'overall_stats':overall_stats,
 538             'fav_maps':fav_maps,
 539             'elos':elos,
 540             'ranks':ranks,
 541             'recent_games':recent_games,
 542             'recent_weapons':recent_weapons,
 543             'cake_day':cake_day,
 544             }
 545
 546
 547 def player_info(request):
 548     """
 549     Provides detailed information on a specific player
 550     """
 551     return player_info_data(request)
 552
 553
 554 def player_info_json(request):
 555     """
 556     Provides detailed information on a specific player. JSON.
 557     """
 558
 559     # All player_info fields are converted into JSON-formattable dictionaries
 560     player_info = player_info_data(request)
 561
 562     player = player_info['player'].to_dict()
 563
 564     games_played = {}
 565     for game in player_info['games_played']:
 566         games_played[game.game_type_cd] = to_json(game)
 567
 568     overall_stats = {}
 569     for gt,stats in player_info['overall_stats'].items():
 570         overall_stats[gt] = to_json(stats)
 571
 572     elos = {}
 573     for gt,elo in player_info['elos'].items():
 574         elos[gt] = to_json(elo.to_dict())
 575
 576     ranks = {}
 577     for gt,rank in player_info['ranks'].items():
 578         ranks[gt] = to_json(rank)
 579
 580     fav_maps = {}
 581     for gt,mapinfo in player_info['fav_maps'].items():
 582         fav_maps[gt] = to_json(mapinfo)
 583
 584     recent_games = []
 585     for game in player_info['recent_games']:
 586         recent_games.append(to_json(game))
 587
 588     #recent_weapons = player_info['recent_weapons']
 589
 590     return [{
 591         'player':           player,
 592         'games_played':     games_played,
 593         'overall_stats':    overall_stats,
 594         'fav_maps':         fav_maps,
 595         'elos':             elos,
 596         'ranks':            ranks,
 597         'recent_games':     recent_games,
 598     #    'recent_weapons':   recent_weapons,
 599         'recent_weapons':   ['not implemented'],
 600     }]
 601     #return [{'status':'not implemented'}]
 602
 603
 604 def player_game_index_data(request):
 605     player_id = request.matchdict['player_id']
 606
 607     game_type_cd = None
 608     game_type_descr = None
 609
 610     if request.params.has_key('type'):
 611         game_type_cd = request.params['type']
 612         try:
 613             game_type_descr = DBSession.query(GameType.descr).\
 614                 filter(GameType.game_type_cd == game_type_cd).\
 615                 one()[0]
 616         except Exception as e:
 617             pass
 618
 619     else:
 620         game_type_cd = None
 621         game_type_descr = None
 622
 623     if request.params.has_key('page'):
 624         current_page = request.params['page']
 625     else:
 626         current_page = 1
 627
 628     try:
 629         player = DBSession.query(Player).\
 630                 filter_by(player_id=player_id).\
 631                 filter(Player.active_ind == True).\
 632                 one()
 633
 634         rgs_q = recent_games_q(player_id=player.player_id,
 635             force_player_id=True, game_type_cd=game_type_cd)
 636
 637         games = Page(rgs_q, current_page, items_per_page=20, url=page_url)
 638
 639         # replace the items in the canned pagination class with more rich ones
 640         games.items = [RecentGame(row) for row in games.items]
 641
 642         games_played = get_games_played(player_id)
 643
 644     except Exception as e:
 645         player = None
 646         games = None
 647         game_type_cd = None
 648         game_type_descr = None
 649         games_played = None
 650
 651     return {
 652             'player_id':player.player_id,
 653             'player':player,
 654             'games':games,
 655             'game_type_cd':game_type_cd,
 656             'game_type_descr':game_type_descr,
 657             'games_played':games_played,
 658            }
 659
 660
 661 def player_game_index(request):
 662     """
 663     Provides an index of the games in which a particular
 664     player was involved. This is ordered by game_id, with
 665     the most recent game_ids first. Paginated.
 666     """
 667     return player_game_index_data(request)
 668
 669
 670 def player_game_index_json(request):
 671     """
 672     Provides an index of the games in which a particular
 673     player was involved. This is ordered by game_id, with
 674     the most recent game_ids first. Paginated. JSON.
 675     """
 676     return [{'status':'not implemented'}]
 677
 678
 679 def player_accuracy_data(request):
 680     player_id = request.matchdict['id']
 681     allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']
 682     weapon_cd = 'nex'
 683     games = 20
 684
 685     if request.params.has_key('weapon'):
 686         if request.params['weapon'] in allowed_weapons:
 687             weapon_cd = request.params['weapon']
 688
 689     if request.params.has_key('games'):
 690         try:
 691             games = request.params['games']
 692
 693             if games < 0:
 694                 games = 20
 695             if games > 50:
 696                 games = 50
 697         except:
 698             games = 20
 699
 700     (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)
 701
 702     # if we don't have enough data for the given weapon
 703     if len(accs) < games:
 704         games = len(accs)
 705
 706     return {
 707             'player_id':player_id,
 708             'player_url':request.route_url('player_info', id=player_id),
 709             'weapon':weapon_cd,
 710             'games':games,
 711             'avg':avg,
 712             'accs':accs
 713             }
 714
 715
 716 def player_accuracy(request):
 717     """
 718     Provides the accuracy for the given weapon. (JSON only)
 719     """
 720     return player_accuracy_data(request)
 721
 722
 723 def player_accuracy_json(request):
 724     """
 725     Provides a JSON response representing the accuracy for the given weapon.
 726
 727     Parameters:
 728        weapon = which weapon to display accuracy for. Valid values are 'nex',
 729                 'shotgun', 'uzi', and 'minstanex'.
 730        games = over how many games to display accuracy. Can be up to 50.
 731     """
 732     return player_accuracy_data(request)
 733
 734
 735 def player_damage_data(request):
 736     player_id = request.matchdict['id']
 737     allowed_weapons = ['grenadelauncher', 'electro', 'crylink', 'hagar',
 738             'rocketlauncher', 'laser']
 739     weapon_cd = 'rocketlauncher'
 740     games = 20
 741
 742     if request.params.has_key('weapon'):
 743         if request.params['weapon'] in allowed_weapons:
 744             weapon_cd = request.params['weapon']
 745
 746     if request.params.has_key('games'):
 747         try:
 748             games = request.params['games']
 749
 750             if games < 0:
 751                 games = 20
 752             if games > 50:
 753                 games = 50
 754         except:
 755             games = 20
 756
 757     (avg, dmgs) = get_damage_stats(player_id, weapon_cd, games)
 758
 759     # if we don't have enough data for the given weapon
 760     if len(dmgs) < games:
 761         games = len(dmgs)
 762
 763     return {
 764             'player_id':player_id,
 765             'player_url':request.route_url('player_info', id=player_id),
 766             'weapon':weapon_cd,
 767             'games':games,
 768             'avg':avg,
 769             'dmgs':dmgs
 770             }
 771
 772
 773 def player_damage_json(request):
 774     """
 775     Provides a JSON response representing the damage for the given weapon.
 776
 777     Parameters:
 778        weapon = which weapon to display damage for. Valid values are
 779          'grenadelauncher', 'electro', 'crylink', 'hagar', 'rocketlauncher',
 780          'laser'.
 781        games = over how many games to display damage. Can be up to 50.
 782     """
 783     return player_damage_data(request)
 784
 785
 786 def player_hashkey_info_data(request):
 787     # hashkey = request.matchdict['hashkey']
 788
 789     # the incoming hashkey is double quoted, and WSGI unquotes once...
 790     # hashkey = unquote(hashkey)
 791
 792     # if using request verification to obtain the hashkey
 793     (idfp, status) = verify_request(request)
 794     log.debug("d0_blind_id verification: idfp={0} status={1}\n".format(idfp, status))
 795
 796     log.debug("\n----- BEGIN REQUEST BODY -----\n" + request.body +
 797             "----- END REQUEST BODY -----\n\n")
 798
 799     # if config is to *not* verify requests and we get nothing back, this
 800     # query will return nothing and we'll 404.
 801     try:
 802         player = DBSession.query(Player).\
 803                 filter(Player.player_id == Hashkey.player_id).\
 804                 filter(Player.active_ind == True).\
 805                 filter(Hashkey.hashkey == idfp).one()
 806
 807         games_played      = get_games_played(player.player_id)
 808         overall_stats     = get_overall_stats(player.player_id)
 809         fav_maps          = get_fav_maps(player.player_id)
 810         elos              = get_elos(player.player_id)
 811         ranks             = get_ranks(player.player_id)
 812         most_recent_game  = get_recent_games(player.player_id, 1)[0]
 813
 814     except Exception as e:
 815         raise pyramid.httpexceptions.HTTPNotFound
 816
 817     return {'player':player,
 818             'hashkey':idfp,
 819             'games_played':games_played,
 820             'overall_stats':overall_stats,
 821             'fav_maps':fav_maps,
 822             'elos':elos,
 823             'ranks':ranks,
 824             'most_recent_game':most_recent_game,
 825             }
 826
 827
 828 def player_hashkey_info_json(request):
 829     """
 830     Provides detailed information on a specific player. JSON.
 831     """
 832
 833     # All player_info fields are converted into JSON-formattable dictionaries
 834     player_info = player_hashkey_info_data(request)
 835
 836     player = player_info['player'].to_dict()
 837
 838     games_played = {}
 839     for game in player_info['games_played']:
 840         games_played[game.game_type_cd] = to_json(game)
 841
 842     overall_stats = {}
 843     for gt,stats in player_info['overall_stats'].items():
 844         overall_stats[gt] = to_json(stats)
 845
 846     elos = {}
 847     for gt,elo in player_info['elos'].items():
 848         elos[gt] = to_json(elo.to_dict())
 849
 850     ranks = {}
 851     for gt,rank in player_info['ranks'].items():
 852         ranks[gt] = to_json(rank)
 853
 854     fav_maps = {}
 855     for gt,mapinfo in player_info['fav_maps'].items():
 856         fav_maps[gt] = to_json(mapinfo)
 857
 858     most_recent_game = to_json(player_info['most_recent_game'])
 859
 860     return [{
 861         'version':          1,
 862         'player':           player,
 863         'games_played':     games_played,
 864         'overall_stats':    overall_stats,
 865         'fav_maps':         fav_maps,
 866         'elos':             elos,
 867         'ranks':            ranks,
 868         'most_recent_game': most_recent_game,
 869     }]
 870
 871
 872 def player_hashkey_info_text(request):
 873     """
 874     Provides detailed information on a specific player. Plain text.
 875     """
 876     # UTC epoch
 877     now = timegm(datetime.datetime.utcnow().timetuple())
 878
 879     # All player_info fields are converted into JSON-formattable dictionaries
 880     player_info = player_hashkey_info_data(request)
 881
 882     # gather all of the data up into aggregate structures
 883     player = player_info['player']
 884     games_played = player_info['games_played']
 885     overall_stats = player_info['overall_stats']
 886     elos = player_info['elos']
 887     ranks = player_info['ranks']
 888     fav_maps = player_info['fav_maps']
 889     most_recent_game = player_info['most_recent_game']
 890
 891     # one-offs for things needing conversion for text/plain
 892     player_joined = timegm(player.create_dt.timetuple())
 893     player_joined_dt = player.create_dt
 894     alivetime = int(datetime_seconds(overall_stats['overall'].total_playing_time))
 895
 896     # this is a plain text response, if we don't do this here then
 897     # Pyramid will assume html
 898     request.response.content_type = 'text/plain'
 899
 900     return {
 901         'version':          1,
 902         'now':              now,
 903         'player':           player,
 904         'hashkey':          player_info['hashkey'],
 905         'player_joined':    player_joined,
 906         'player_joined_dt': player_joined_dt,
 907         'games_played':     games_played,
 908         'overall_stats':    overall_stats,
 909         'alivetime':        alivetime,
 910         'fav_maps':         fav_maps,
 911         'elos':             elos,
 912         'ranks':            ranks,
 913         'most_recent_game': most_recent_game,
 914     }
 915
 916
 917 def player_elo_info_data(request):
 918     """
 919     Provides elo information on a specific player. Raw data is returned.
 920     """
 921     (idfp, status) = verify_request(request)
 922     log.debug("d0_blind_id verification: idfp={0} status={1}\n".format(idfp, status))
 923
 924     log.debug("\n----- BEGIN REQUEST BODY -----\n" + request.body +
 925             "----- END REQUEST BODY -----\n\n")
 926
 927     hashkey = request.matchdict['hashkey']
 928
 929     # the incoming hashkey is double quoted, and WSGI unquotes once...
 930     hashkey = unquote(hashkey)
 931
 932     try:
 933         player = DBSession.query(Player).\
 934                 filter(Player.player_id == Hashkey.player_id).\
 935                 filter(Player.active_ind == True).\
 936                 filter(Hashkey.hashkey == hashkey).one()
 937
 938         elos = get_elos(player.player_id)
 939
 940     except Exception as e:
 941         log.debug(e)
 942         raise pyramid.httpexceptions.HTTPNotFound
 943
 944     return {
 945         'hashkey':hashkey,
 946         'player':player,
 947         'elos':elos,
 948     }
 949
 950
 951 def player_elo_info_json(request):
 952     """
 953     Provides elo information on a specific player. JSON.
 954     """
 955     elo_info = player_elo_info_data(request)
 956
 957     player = player_info['player'].to_dict()
 958
 959     elos = {}
 960     for gt, elo in elo_info['elos'].items():
 961         elos[gt] = to_json(elo.to_dict())
 962
 963     return [{
 964         'version':          1,
 965         'player':           player,
 966         'elos':             elos,
 967     }]
 968
 969
 970 def player_elo_info_text(request):
 971     """
 972     Provides elo information on a specific player. Plain text.
 973     """
 974     # UTC epoch
 975     now = timegm(datetime.datetime.utcnow().timetuple())
 976
 977     # All player_info fields are converted into JSON-formattable dictionaries
 978     elo_info = player_elo_info_data(request)
 979
 980     # this is a plain text response, if we don't do this here then
 981     # Pyramid will assume html
 982     request.response.content_type = 'text/plain'
 983
 984     return {
 985         'version':          1,
 986         'now':              now,
 987         'hashkey':          elo_info['hashkey'],
 988         'player':           elo_info['player'],
 989         'elos':             elo_info['elos'],
 990     }
 991
 992
 993 def player_captimes_data(request):
 994     player_id = int(request.matchdict['player_id'])
 995     if player_id <= 2:
 996         player_id = -1;
 997
 998     if request.params.has_key('page'):
 999         current_page = request.params['page']
1000     else:
1001         current_page = 1
1002
1003     PlayerCaptimes = namedtuple('PlayerCaptimes', ['fastest_cap',
1004             'create_dt', 'create_dt_epoch', 'create_dt_fuzzy',
1005             'player_id', 'game_id', 'map_id', 'map_name', 'server_id', 'server_name'])
1006
1007     player = DBSession.query(Player).filter_by(player_id=player_id).one()
1008
1009     #pct_q = DBSession.query('fastest_cap', 'create_dt', 'player_id', 'game_id', 'map_id',
1010     #            'map_name', 'server_id', 'server_name').\
1011     #        from_statement(
1012     #            "SELECT ct.fastest_cap, "
1013     #                   "ct.create_dt, "
1014     #                   "ct.player_id, "
1015     #                   "ct.game_id, "
1016     #                   "ct.map_id, "
1017     #                   "m.name map_name, "
1018     #                   "g.server_id, "
1019     #                   "s.name server_name "
1020     #            "FROM   player_map_captimes ct, "
1021     #                   "games g, "
1022     #                   "maps m, "
1023     #                   "servers s "
1024     #            "WHERE  ct.player_id = :player_id "
1025     #              "AND  g.game_id = ct.game_id "
1026     #              "AND  g.server_id = s.server_id "
1027     #              "AND  m.map_id = ct.map_id "
1028     #            #"ORDER  BY ct.fastest_cap "
1029     #            "ORDER  BY ct.create_dt desc"
1030     #        ).params(player_id=player_id)
1031
1032     try:
1033         pct_q = DBSession.query(PlayerCaptime.fastest_cap, PlayerCaptime.create_dt,
1034                 PlayerCaptime.player_id, PlayerCaptime.game_id, PlayerCaptime.map_id,
1035                 Map.name.label('map_name'), Game.server_id, Server.name.label('server_name')).\
1036                 filter(PlayerCaptime.player_id==player_id).\
1037                 filter(PlayerCaptime.game_id==Game.game_id).\
1038                 filter(PlayerCaptime.map_id==Map.map_id).\
1039                 filter(Game.server_id==Server.server_id).\
1040                 order_by(expr.asc(PlayerCaptime.fastest_cap))  # or PlayerCaptime.create_dt
1041
1042         player_captimes = Page(pct_q, current_page, items_per_page=20, url=page_url)
1043
1044         # replace the items in the canned pagination class with more rich ones
1045         player_captimes.items = [PlayerCaptimes(
1046                 fastest_cap=row.fastest_cap,
1047                 create_dt=row.create_dt,
1048                 create_dt_epoch=timegm(row.create_dt.timetuple()),
1049                 create_dt_fuzzy=pretty_date(row.create_dt),
1050                 player_id=row.player_id,
1051                 game_id=row.game_id,
1052                 map_id=row.map_id,
1053                 map_name=row.map_name,
1054                 server_id=row.server_id,
1055                 server_name=row.server_name
1056                 ) for row in player_captimes.items]
1057
1058     except Exception as e:
1059         player = None
1060         player_captimes = None
1061
1062     return {
1063             'player_id':player_id,
1064             'player':player,
1065             'captimes':player_captimes,
1066             #'player_url':request.route_url('player_info', id=player_id),
1067         }
1068
1069
1070 def player_captimes(request):
1071     return player_captimes_data(request)
1072
1073
1074 def player_captimes_json(request):
1075     return player_captimes_data(request)
1076
1077
1078 def player_weaponstats_data_json(request):
1079     player_id = request.matchdict["id"]
1080     if player_id <= 2:
1081         player_id = -1;
1082
1083     game_type_cd = request.params.get("game_type", None)
1084     if game_type_cd == "overall":
1085         game_type_cd = None
1086
1087     limit = 20
1088     if request.params.has_key("limit"):
1089         limit = int(request.params["limit"])
1090
1091         if limit < 0:
1092             limit = 20
1093         if limit > 50:
1094             limit = 50
1095
1096     games_raw = DBSession.query(sa.distinct(Game.game_id)).\
1097         filter(Game.game_id == PlayerWeaponStat.game_id).\
1098         filter(PlayerWeaponStat.player_id == player_id)
1099
1100     if game_type_cd is not None:
1101         games_raw = games_raw.filter(Game.game_type_cd == game_type_cd)
1102
1103     games_raw = games_raw.order_by(Game.game_id.desc()).limit(limit).all()
1104
1105     weapon_stats_raw = DBSession.query(PlayerWeaponStat).\
1106         filter(PlayerWeaponStat.player_id == player_id).\
1107         filter(PlayerWeaponStat.game_id.in_(games_raw)).all()
1108
1109     games_to_weapons = {}
1110     weapons_used = {}
1111     sum_avgs = {}
1112     for ws in weapon_stats_raw:
1113         if ws.game_id not in games_to_weapons:
1114             games_to_weapons[ws.game_id] = [ws.weapon_cd]
1115         else:
1116             games_to_weapons[ws.game_id].append(ws.weapon_cd)
1117
1118         weapons_used[ws.weapon_cd] = weapons_used.get(ws.weapon_cd, 0) + 1
1119         sum_avgs[ws.weapon_cd] = sum_avgs.get(ws.weapon_cd, 0) + float(ws.hit)/float(ws.fired)
1120
1121     # Creating zero-valued weapon stat entries for games where a weapon was not
1122     # used in that game, but was used in another game for the set. This makes
1123     # the charts look smoother
1124     for game_id in games_to_weapons.keys():
1125         for weapon_cd in set(weapons_used.keys()) - set(games_to_weapons[game_id]):
1126             weapon_stats_raw.append(PlayerWeaponStat(player_id=player_id,
1127                 game_id=game_id, weapon_cd=weapon_cd))
1128
1129     # averages for the weapons used in the range
1130     avgs = {}
1131     for w in weapons_used.keys():
1132         avgs[w] = round(sum_avgs[w]/float(weapons_used[w])*100, 2)
1133
1134     weapon_stats_raw = sorted(weapon_stats_raw, key = lambda x: x.game_id)
1135     games            = sorted(games_to_weapons.keys())
1136     weapon_stats     = [ws.to_dict() for ws in weapon_stats_raw]
1137
1138     return {
1139         "weapon_stats": weapon_stats,
1140         "weapons_used": weapons_used.keys(),
1141         "games": games,
1142         "averages": avgs,
1143     }
1144