xonstat/views/player.py

   1 import datetime
   2 import logging
   3 import pyramid.httpexceptions
   4 import sqlalchemy as sa
   5 import sqlalchemy.sql.functions as func
   6 from calendar import timegm
   7 from collections import namedtuple
   8 from webhelpers.paginate import Page
   9 from xonstat.models import *
  10 from xonstat.util import page_url, to_json, pretty_date, datetime_seconds
  11 from xonstat.util import is_cake_day, verify_request
  12 from xonstat.views.helpers import RecentGame, recent_games_q
  13
  14 log = logging.getLogger(__name__)
  15
  16
  17 def player_index_data(request):
  18     if request.params.has_key('page'):
  19         current_page = request.params['page']
  20     else:
  21         current_page = 1
  22
  23     try:
  24         player_q = DBSession.query(Player).\
  25                 filter(Player.player_id > 2).\
  26                 filter(Player.active_ind == True).\
  27                 filter(sa.not_(Player.nick.like('Anonymous Player%'))).\
  28                 order_by(Player.player_id.desc())
  29
  30         players = Page(player_q, current_page, items_per_page=25, url=page_url)
  31
  32     except Exception as e:
  33         players = None
  34         raise e
  35
  36     return {'players':players
  37            }
  38
  39
  40 def player_index(request):
  41     """
  42     Provides a list of all the current players.
  43     """
  44     return player_index_data(request)
  45
  46
  47 def player_index_json(request):
  48     """
  49     Provides a list of all the current players. JSON.
  50     """
  51     return [{'status':'not implemented'}]
  52
  53
  54 def get_games_played(player_id):
  55     """
  56     Provides a breakdown by gametype of the games played by player_id.
  57
  58     Returns a list of namedtuples with the following members:
  59         - game_type_cd
  60         - games
  61         - wins
  62         - losses
  63         - win_pct
  64
  65     The list itself is ordered by the number of games played
  66     """
  67     GamesPlayed = namedtuple('GamesPlayed', ['game_type_cd', 'games', 'wins',
  68         'losses', 'win_pct'])
  69
  70     raw_games_played = DBSession.query('game_type_cd', 'wins', 'losses').\
  71             from_statement(
  72                 "SELECT game_type_cd, "
  73                        "SUM(win) wins, "
  74                        "SUM(loss) losses "
  75                 "FROM   (SELECT g.game_id, "
  76                                "g.game_type_cd, "
  77                                "CASE "
  78                                  "WHEN g.winner = pgs.team THEN 1 "
  79                                  "WHEN pgs.scoreboardpos = 1 THEN 1 "
  80                                  "ELSE 0 "
  81                                "END win, "
  82                                "CASE "
  83                                  "WHEN g.winner = pgs.team THEN 0 "
  84                                  "WHEN pgs.scoreboardpos = 1 THEN 0 "
  85                                  "ELSE 1 "
  86                                "END loss "
  87                         "FROM   games g, "
  88                                "player_game_stats pgs "
  89                         "WHERE  g.game_id = pgs.game_id "
  90                         "AND pgs.player_id = :player_id) win_loss "
  91                 "GROUP  BY game_type_cd "
  92             ).params(player_id=player_id).all()
  93
  94     games_played = []
  95     overall_games = 0
  96     overall_wins = 0
  97     overall_losses = 0
  98     for row in raw_games_played:
  99         games = row.wins + row.losses
 100         overall_games += games
 101         overall_wins += row.wins
 102         overall_losses += row.losses
 103         win_pct = float(row.wins)/games * 100
 104
 105         games_played.append(GamesPlayed(row.game_type_cd, games, row.wins,
 106             row.losses, win_pct))
 107
 108     try:
 109         overall_win_pct = float(overall_wins)/overall_games * 100
 110     except:
 111         overall_win_pct = 0.0
 112
 113     games_played.append(GamesPlayed('overall', overall_games, overall_wins,
 114         overall_losses, overall_win_pct))
 115
 116     # sort the resulting list by # of games played
 117     games_played = sorted(games_played, key=lambda x:x.games)
 118     games_played.reverse()
 119     return games_played
 120
 121
 122 def get_overall_stats(player_id):
 123     """
 124     Provides a breakdown of stats by gametype played by player_id.
 125
 126     Returns a dictionary of namedtuples with the following members:
 127         - total_kills
 128         - total_deaths
 129         - k_d_ratio
 130         - last_played (last time the player played the game type)
 131         - last_played_epoch (same as above, but in seconds since epoch)
 132         - last_played_fuzzy (same as above, but in relative date)
 133         - total_playing_time (total amount of time played the game type)
 134         - total_playing_time_secs (same as the above, but in seconds)
 135         - total_pickups (ctf only)
 136         - total_captures (ctf only)
 137         - cap_ratio (ctf only)
 138         - total_carrier_frags (ctf only)
 139         - game_type_cd
 140         - game_type_descr
 141
 142     The key to the dictionary is the game type code. There is also an
 143     "overall" game_type_cd which sums the totals and computes the total ratios.
 144     """
 145     OverallStats = namedtuple('OverallStats', ['total_kills', 'total_deaths',
 146         'k_d_ratio', 'last_played', 'last_played_epoch', 'last_played_fuzzy',
 147         'total_playing_time', 'total_playing_time_secs', 'total_pickups', 'total_captures', 'cap_ratio',
 148         'total_carrier_frags', 'game_type_cd', 'game_type_descr'])
 149
 150     raw_stats = DBSession.query('game_type_cd', 'game_type_descr',
 151             'total_kills', 'total_deaths', 'last_played', 'total_playing_time',
 152             'total_pickups', 'total_captures', 'total_carrier_frags').\
 153             from_statement(
 154                 "SELECT g.game_type_cd, "
 155                        "gt.descr game_type_descr, "
 156                        "Sum(pgs.kills)         total_kills, "
 157                        "Sum(pgs.deaths)        total_deaths, "
 158                        "Max(pgs.create_dt)     last_played, "
 159                        "Sum(pgs.alivetime)     total_playing_time, "
 160                        "Sum(pgs.pickups)       total_pickups, "
 161                        "Sum(pgs.captures)      total_captures, "
 162                        "Sum(pgs.carrier_frags) total_carrier_frags "
 163                 "FROM   games g, "
 164                        "cd_game_type gt, "
 165                        "player_game_stats pgs "
 166                 "WHERE  g.game_id = pgs.game_id "
 167                   "AND  g.game_type_cd = gt.game_type_cd "
 168                   "AND  pgs.player_id = :player_id "
 169                 "GROUP  BY g.game_type_cd, game_type_descr "
 170                 "UNION "
 171                 "SELECT 'overall'              game_type_cd, "
 172                        "'Overall'              game_type_descr, "
 173                        "Sum(pgs.kills)         total_kills, "
 174                        "Sum(pgs.deaths)        total_deaths, "
 175                        "Max(pgs.create_dt)     last_played, "
 176                        "Sum(pgs.alivetime)     total_playing_time, "
 177                        "Sum(pgs.pickups)       total_pickups, "
 178                        "Sum(pgs.captures)      total_captures, "
 179                        "Sum(pgs.carrier_frags) total_carrier_frags "
 180                 "FROM   player_game_stats pgs "
 181                 "WHERE  pgs.player_id = :player_id "
 182             ).params(player_id=player_id).all()
 183
 184     # to be indexed by game_type_cd
 185     overall_stats = {}
 186
 187     for row in raw_stats:
 188         # individual gametype ratio calculations
 189         try:
 190             k_d_ratio = float(row.total_kills)/row.total_deaths
 191         except:
 192             k_d_ratio = None
 193
 194         try:
 195             cap_ratio = float(row.total_captures)/row.total_pickups
 196         except:
 197             cap_ratio = None
 198
 199         # everything else is untouched or "raw"
 200         os = OverallStats(total_kills=row.total_kills,
 201                 total_deaths=row.total_deaths,
 202                 k_d_ratio=k_d_ratio,
 203                 last_played=row.last_played,
 204                 last_played_epoch=timegm(row.last_played.timetuple()),
 205                 last_played_fuzzy=pretty_date(row.last_played),
 206                 total_playing_time=row.total_playing_time,
 207                 total_playing_time_secs=int(datetime_seconds(row.total_playing_time)),
 208                 total_pickups=row.total_pickups,
 209                 total_captures=row.total_captures,
 210                 cap_ratio=cap_ratio,
 211                 total_carrier_frags=row.total_carrier_frags,
 212                 game_type_cd=row.game_type_cd,
 213                 game_type_descr=row.game_type_descr)
 214
 215         overall_stats[row.game_type_cd] = os
 216
 217     # We have to edit "overall" stats to exclude deaths in CTS.
 218     # Although we still want to record deaths, they shouldn't
 219     # count towards the overall K:D ratio.
 220     if 'cts' in overall_stats:
 221         os = overall_stats['overall']
 222
 223         try:
 224             k_d_ratio = float(os.total_kills)/(os.total_deaths - overall_stats['cts'].total_deaths)
 225         except:
 226             k_d_ratio = None
 227
 228         non_cts_deaths = os.total_deaths - overall_stats['cts'].total_deaths
 229
 230
 231         overall_stats['overall'] = OverallStats(
 232                 total_kills             = os.total_kills,
 233                 total_deaths            = non_cts_deaths,
 234                 k_d_ratio               = k_d_ratio,
 235                 last_played             = os.last_played,
 236                 last_played_epoch       = os.last_played_epoch,
 237                 last_played_fuzzy       = os.last_played_fuzzy,
 238                 total_playing_time      = os.total_playing_time,
 239                 total_playing_time_secs = os.total_playing_time_secs,
 240                 total_pickups           = os.total_pickups,
 241                 total_captures          = os.total_captures,
 242                 cap_ratio               = os.cap_ratio,
 243                 total_carrier_frags     = os.total_carrier_frags,
 244                 game_type_cd            = os.game_type_cd,
 245                 game_type_descr         = os.game_type_descr)
 246
 247     return overall_stats
 248
 249
 250 def get_fav_maps(player_id, game_type_cd=None):
 251     """
 252     Provides a breakdown of favorite maps by gametype.
 253
 254     Returns a dictionary of namedtuples with the following members:
 255         - game_type_cd
 256         - map_name (map name)
 257         - map_id
 258         - times_played
 259
 260     The favorite map is defined as the map you've played the most
 261     for the given game_type_cd.
 262
 263     The key to the dictionary is the game type code. There is also an
 264     "overall" game_type_cd which is the overall favorite map. This is
 265     defined as the favorite map of the game type you've played the
 266     most. The input parameter game_type_cd is for this.
 267     """
 268     FavMap = namedtuple('FavMap', ['map_name', 'map_id', 'times_played', 'game_type_cd'])
 269
 270     raw_favs = DBSession.query('game_type_cd', 'map_name',
 271             'map_id', 'times_played').\
 272             from_statement(
 273                 "SELECT game_type_cd, "
 274                        "name map_name, "
 275                        "map_id, "
 276                        "times_played "
 277                 "FROM   (SELECT g.game_type_cd, "
 278                                "m.name, "
 279                                "m.map_id, "
 280                                "Count(*) times_played, "
 281                                "Row_number() "
 282                                  "OVER ( "
 283                                    "partition BY g.game_type_cd "
 284                                    "ORDER BY Count(*) DESC, m.map_id ASC) rank "
 285                         "FROM   games g, "
 286                                "player_game_stats pgs, "
 287                                "maps m "
 288                         "WHERE  g.game_id = pgs.game_id "
 289                                "AND g.map_id = m.map_id "
 290                                "AND pgs.player_id = :player_id "
 291                         "GROUP  BY g.game_type_cd, "
 292                                   "m.map_id, "
 293                                   "m.name) most_played "
 294                 "WHERE  rank = 1 "
 295                 "ORDER BY  times_played desc "
 296             ).params(player_id=player_id).all()
 297
 298     fav_maps = {}
 299     overall_fav = None
 300     for row in raw_favs:
 301         fv = FavMap(map_name=row.map_name,
 302             map_id=row.map_id,
 303             times_played=row.times_played,
 304             game_type_cd=row.game_type_cd)
 305
 306         # if we aren't given a favorite game_type_cd
 307         # then the overall favorite is the one we've
 308         # played the most
 309         if overall_fav is None:
 310             fav_maps['overall'] = fv
 311             overall_fav = fv.game_type_cd
 312
 313         # otherwise it is the favorite map from the
 314         # favorite game_type_cd (provided as a param)
 315         # and we'll overwrite the first dict entry
 316         if game_type_cd == fv.game_type_cd:
 317             fav_maps['overall'] = fv
 318
 319         fav_maps[row.game_type_cd] = fv
 320
 321     return fav_maps
 322
 323
 324 def get_ranks(player_id):
 325     """
 326     Provides a breakdown of the player's ranks by game type.
 327
 328     Returns a dictionary of namedtuples with the following members:
 329         - game_type_cd
 330         - rank
 331         - max_rank
 332
 333     The key to the dictionary is the game type code. There is also an
 334     "overall" game_type_cd which is the overall best rank.
 335     """
 336     Rank = namedtuple('Rank', ['rank', 'max_rank', 'percentile', 'game_type_cd'])
 337
 338     raw_ranks = DBSession.query("game_type_cd", "rank", "max_rank").\
 339             from_statement(
 340                 "select pr.game_type_cd, pr.rank, overall.max_rank "
 341                 "from player_ranks pr,  "
 342                    "(select game_type_cd, max(rank) max_rank "
 343                     "from player_ranks  "
 344                     "group by game_type_cd) overall "
 345                 "where pr.game_type_cd = overall.game_type_cd  "
 346                 "and player_id = :player_id "
 347                 "order by rank").\
 348             params(player_id=player_id).all()
 349
 350     ranks = {}
 351     found_top_rank = False
 352     for row in raw_ranks:
 353         rank = Rank(rank=row.rank,
 354             max_rank=row.max_rank,
 355             percentile=100 - 100*float(row.rank-1)/(row.max_rank-1),
 356             game_type_cd=row.game_type_cd)
 357
 358
 359         if not found_top_rank:
 360             ranks['overall'] = rank
 361             found_top_rank = True
 362         elif rank.percentile > ranks['overall'].percentile:
 363             ranks['overall'] = rank
 364
 365         ranks[row.game_type_cd] = rank
 366
 367     return ranks;
 368
 369
 370 def get_elos(player_id):
 371     """
 372     Provides a breakdown of the player's elos by game type.
 373
 374     Returns a dictionary of namedtuples with the following members:
 375         - player_id
 376         - game_type_cd
 377         - games
 378         - elo
 379
 380     The key to the dictionary is the game type code. There is also an
 381     "overall" game_type_cd which is the overall best rank.
 382     """
 383     raw_elos = DBSession.query(PlayerElo).filter_by(player_id=player_id).\
 384             order_by(PlayerElo.elo.desc()).all()
 385
 386     elos = {}
 387     found_max_elo = False
 388     for row in raw_elos:
 389         if not found_max_elo:
 390             elos['overall'] = row
 391             found_max_elo = True
 392
 393         elos[row.game_type_cd] = row
 394
 395     return elos
 396
 397
 398 def get_recent_games(player_id, limit=10):
 399     """
 400     Provides a list of recent games for a player. Uses the recent_games_q helper.
 401     """
 402     # recent games played in descending order
 403     rgs = recent_games_q(player_id=player_id, force_player_id=True).limit(limit).all()
 404     recent_games = [RecentGame(row) for row in rgs]
 405
 406     return recent_games
 407
 408
 409 def get_recent_weapons(player_id):
 410     """
 411     Returns the weapons that have been used in the past 90 days
 412     and also used in 5 games or more.
 413     """
 414     cutoff = datetime.datetime.utcnow() - datetime.timedelta(days=90)
 415     recent_weapons = []
 416     for weapon in DBSession.query(PlayerWeaponStat.weapon_cd, func.count()).\
 417             filter(PlayerWeaponStat.player_id == player_id).\
 418             filter(PlayerWeaponStat.create_dt > cutoff).\
 419             group_by(PlayerWeaponStat.weapon_cd).\
 420             having(func.count() > 4).\
 421             all():
 422                 recent_weapons.append(weapon[0])
 423
 424     return recent_weapons
 425
 426
 427 def get_accuracy_stats(player_id, weapon_cd, games):
 428     """
 429     Provides accuracy for weapon_cd by player_id for the past N games.
 430     """
 431     # Reaching back 90 days should give us an accurate enough average
 432     # We then multiply this out for the number of data points (games) to
 433     # create parameters for a flot graph
 434     try:
 435         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.hit),
 436                 func.sum(PlayerWeaponStat.fired)).\
 437                 filter(PlayerWeaponStat.player_id == player_id).\
 438                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 439                 one()
 440
 441         avg = round(float(raw_avg[0])/raw_avg[1]*100, 2)
 442
 443         # Determine the raw accuracy (hit, fired) numbers for $games games
 444         # This is then enumerated to create parameters for a flot graph
 445         raw_accs = DBSession.query(PlayerWeaponStat.game_id,
 446             PlayerWeaponStat.hit, PlayerWeaponStat.fired).\
 447                 filter(PlayerWeaponStat.player_id == player_id).\
 448                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 449                 order_by(PlayerWeaponStat.game_id.desc()).\
 450                 limit(games).\
 451                 all()
 452
 453         # they come out in opposite order, so flip them in the right direction
 454         raw_accs.reverse()
 455
 456         accs = []
 457         for i in range(len(raw_accs)):
 458             accs.append((raw_accs[i][0], round(float(raw_accs[i][1])/raw_accs[i][2]*100, 2)))
 459     except:
 460         accs = []
 461         avg = 0.0
 462
 463     return (avg, accs)
 464
 465
 466 def get_damage_stats(player_id, weapon_cd, games):
 467     """
 468     Provides damage info for weapon_cd by player_id for the past N games.
 469     """
 470     try:
 471         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.actual),
 472                 func.sum(PlayerWeaponStat.hit)).\
 473                 filter(PlayerWeaponStat.player_id == player_id).\
 474                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 475                 one()
 476
 477         avg = round(float(raw_avg[0])/raw_avg[1], 2)
 478
 479         # Determine the damage efficiency (hit, fired) numbers for $games games
 480         # This is then enumerated to create parameters for a flot graph
 481         raw_dmgs = DBSession.query(PlayerWeaponStat.game_id,
 482             PlayerWeaponStat.actual, PlayerWeaponStat.hit).\
 483                 filter(PlayerWeaponStat.player_id == player_id).\
 484                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 485                 order_by(PlayerWeaponStat.game_id.desc()).\
 486                 limit(games).\
 487                 all()
 488
 489         # they come out in opposite order, so flip them in the right direction
 490         raw_dmgs.reverse()
 491
 492         dmgs = []
 493         for i in range(len(raw_dmgs)):
 494             # try to derive, unless we've hit nothing then set to 0!
 495             try:
 496                 dmg = round(float(raw_dmgs[i][1])/raw_dmgs[i][2], 2)
 497             except:
 498                 dmg = 0.0
 499
 500             dmgs.append((raw_dmgs[i][0], dmg))
 501     except Exception as e:
 502         dmgs = []
 503         avg = 0.0
 504
 505     return (avg, dmgs)
 506
 507
 508 def player_info_data(request):
 509     player_id = int(request.matchdict['id'])
 510     if player_id <= 2:
 511         player_id = -1;
 512
 513     try:
 514         player = DBSession.query(Player).filter_by(player_id=player_id).\
 515                 filter(Player.active_ind == True).one()
 516
 517         games_played   = get_games_played(player_id)
 518         overall_stats  = get_overall_stats(player_id)
 519         fav_maps       = get_fav_maps(player_id)
 520         elos           = get_elos(player_id)
 521         ranks          = get_ranks(player_id)
 522         recent_games   = get_recent_games(player_id)
 523         recent_weapons = get_recent_weapons(player_id)
 524         cake_day       = is_cake_day(player.create_dt)
 525
 526     except Exception as e:
 527         player         = None
 528         games_played   = None
 529         overall_stats  = None
 530         fav_maps       = None
 531         elos           = None
 532         ranks          = None
 533         recent_games   = None
 534         recent_weapons = []
 535         cake_day       = False
 536         ## do not raise exceptions here (only for debugging)
 537         # raise e
 538
 539     return {'player':player,
 540             'games_played':games_played,
 541             'overall_stats':overall_stats,
 542             'fav_maps':fav_maps,
 543             'elos':elos,
 544             'ranks':ranks,
 545             'recent_games':recent_games,
 546             'recent_weapons':recent_weapons,
 547             'cake_day':cake_day,
 548             }
 549
 550
 551 def player_info(request):
 552     """
 553     Provides detailed information on a specific player
 554     """
 555     return player_info_data(request)
 556
 557
 558 def player_info_json(request):
 559     """
 560     Provides detailed information on a specific player. JSON.
 561     """
 562
 563     # All player_info fields are converted into JSON-formattable dictionaries
 564     player_info = player_info_data(request)
 565
 566     player = player_info['player'].to_dict()
 567
 568     games_played = {}
 569     for game in player_info['games_played']:
 570         games_played[game.game_type_cd] = to_json(game)
 571
 572     overall_stats = {}
 573     for gt,stats in player_info['overall_stats'].items():
 574         overall_stats[gt] = to_json(stats)
 575
 576     elos = {}
 577     for gt,elo in player_info['elos'].items():
 578         elos[gt] = to_json(elo.to_dict())
 579
 580     ranks = {}
 581     for gt,rank in player_info['ranks'].items():
 582         ranks[gt] = to_json(rank)
 583
 584     fav_maps = {}
 585     for gt,mapinfo in player_info['fav_maps'].items():
 586         fav_maps[gt] = to_json(mapinfo)
 587
 588     recent_games = []
 589     for game in player_info['recent_games']:
 590         recent_games.append(to_json(game))
 591
 592     #recent_weapons = player_info['recent_weapons']
 593
 594     return [{
 595         'player':           player,
 596         'games_played':     games_played,
 597         'overall_stats':    overall_stats,
 598         'fav_maps':         fav_maps,
 599         'elos':             elos,
 600         'ranks':            ranks,
 601         'recent_games':     recent_games,
 602     #    'recent_weapons':   recent_weapons,
 603         'recent_weapons':   ['not implemented'],
 604     }]
 605     #return [{'status':'not implemented'}]
 606
 607
 608 def player_game_index_data(request):
 609     player_id = request.matchdict['player_id']
 610
 611     game_type_cd = None
 612     game_type_descr = None
 613
 614     if request.params.has_key('type'):
 615         game_type_cd = request.params['type']
 616         try:
 617             game_type_descr = DBSession.query(GameType.descr).\
 618                 filter(GameType.game_type_cd == game_type_cd).\
 619                 one()[0]
 620         except Exception as e:
 621             pass
 622
 623     else:
 624         game_type_cd = None
 625         game_type_descr = None
 626
 627     if request.params.has_key('page'):
 628         current_page = request.params['page']
 629     else:
 630         current_page = 1
 631
 632     try:
 633         player = DBSession.query(Player).\
 634                 filter_by(player_id=player_id).\
 635                 filter(Player.active_ind == True).\
 636                 one()
 637
 638         rgs_q = recent_games_q(player_id=player.player_id,
 639             force_player_id=True, game_type_cd=game_type_cd)
 640
 641         games = Page(rgs_q, current_page, items_per_page=20, url=page_url)
 642
 643         # replace the items in the canned pagination class with more rich ones
 644         games.items = [RecentGame(row) for row in games.items]
 645
 646         games_played = get_games_played(player_id)
 647
 648     except Exception as e:
 649         player = None
 650         games = None
 651         game_type_cd = None
 652         game_type_descr = None
 653         games_played = None
 654
 655     return {
 656             'player_id':player.player_id,
 657             'player':player,
 658             'games':games,
 659             'game_type_cd':game_type_cd,
 660             'game_type_descr':game_type_descr,
 661             'games_played':games_played,
 662            }
 663
 664
 665 def player_game_index(request):
 666     """
 667     Provides an index of the games in which a particular
 668     player was involved. This is ordered by game_id, with
 669     the most recent game_ids first. Paginated.
 670     """
 671     return player_game_index_data(request)
 672
 673
 674 def player_game_index_json(request):
 675     """
 676     Provides an index of the games in which a particular
 677     player was involved. This is ordered by game_id, with
 678     the most recent game_ids first. Paginated. JSON.
 679     """
 680     return [{'status':'not implemented'}]
 681
 682
 683 def player_accuracy_data(request):
 684     player_id = request.matchdict['id']
 685     allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']
 686     weapon_cd = 'nex'
 687     games = 20
 688
 689     if request.params.has_key('weapon'):
 690         if request.params['weapon'] in allowed_weapons:
 691             weapon_cd = request.params['weapon']
 692
 693     if request.params.has_key('games'):
 694         try:
 695             games = request.params['games']
 696
 697             if games < 0:
 698                 games = 20
 699             if games > 50:
 700                 games = 50
 701         except:
 702             games = 20
 703
 704     (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)
 705
 706     # if we don't have enough data for the given weapon
 707     if len(accs) < games:
 708         games = len(accs)
 709
 710     return {
 711             'player_id':player_id,
 712             'player_url':request.route_url('player_info', id=player_id),
 713             'weapon':weapon_cd,
 714             'games':games,
 715             'avg':avg,
 716             'accs':accs
 717             }
 718
 719
 720 def player_accuracy(request):
 721     """
 722     Provides the accuracy for the given weapon. (JSON only)
 723     """
 724     return player_accuracy_data(request)
 725
 726
 727 def player_accuracy_json(request):
 728     """
 729     Provides a JSON response representing the accuracy for the given weapon.
 730
 731     Parameters:
 732        weapon = which weapon to display accuracy for. Valid values are 'nex',
 733                 'shotgun', 'uzi', and 'minstanex'.
 734        games = over how many games to display accuracy. Can be up to 50.
 735     """
 736     return player_accuracy_data(request)
 737
 738
 739 def player_damage_data(request):
 740     player_id = request.matchdict['id']
 741     allowed_weapons = ['grenadelauncher', 'electro', 'crylink', 'hagar',
 742             'rocketlauncher', 'laser']
 743     weapon_cd = 'rocketlauncher'
 744     games = 20
 745
 746     if request.params.has_key('weapon'):
 747         if request.params['weapon'] in allowed_weapons:
 748             weapon_cd = request.params['weapon']
 749
 750     if request.params.has_key('games'):
 751         try:
 752             games = request.params['games']
 753
 754             if games < 0:
 755                 games = 20
 756             if games > 50:
 757                 games = 50
 758         except:
 759             games = 20
 760
 761     (avg, dmgs) = get_damage_stats(player_id, weapon_cd, games)
 762
 763     # if we don't have enough data for the given weapon
 764     if len(dmgs) < games:
 765         games = len(dmgs)
 766
 767     return {
 768             'player_id':player_id,
 769             'player_url':request.route_url('player_info', id=player_id),
 770             'weapon':weapon_cd,
 771             'games':games,
 772             'avg':avg,
 773             'dmgs':dmgs
 774             }
 775
 776
 777 def player_damage_json(request):
 778     """
 779     Provides a JSON response representing the damage for the given weapon.
 780
 781     Parameters:
 782        weapon = which weapon to display damage for. Valid values are
 783          'grenadelauncher', 'electro', 'crylink', 'hagar', 'rocketlauncher',
 784          'laser'.
 785        games = over how many games to display damage. Can be up to 50.
 786     """
 787     return player_damage_data(request)
 788
 789
 790 def player_hashkey_info_data(request):
 791     (idfp, status) = verify_request(request)
 792
 793     # if config is to *not* verify requests and we get nothing back, this
 794     # query will return nothing and we'll 404.
 795     try:
 796         player = DBSession.query(Player).\
 797                 filter(Player.player_id == Hashkey.player_id).\
 798                 filter(Player.active_ind == True).\
 799                 filter(Hashkey.hashkey == idfp).one()
 800
 801         games_played      = get_games_played(player.player_id)
 802         overall_stats     = get_overall_stats(player.player_id)
 803         fav_maps          = get_fav_maps(player.player_id)
 804         elos              = get_elos(player.player_id)
 805         ranks             = get_ranks(player.player_id)
 806         most_recent_game  = get_recent_games(player.player_id, 1)[0]
 807
 808     except Exception as e:
 809         raise pyramid.httpexceptions.HTTPNotFound
 810
 811     return {'player':player,
 812             'hashkey':hashkey,
 813             'games_played':games_played,
 814             'overall_stats':overall_stats,
 815             'fav_maps':fav_maps,
 816             'elos':elos,
 817             'ranks':ranks,
 818             'most_recent_game':most_recent_game,
 819             }
 820
 821
 822 def player_hashkey_info_json(request):
 823     """
 824     Provides detailed information on a specific player. JSON.
 825     """
 826
 827     # All player_info fields are converted into JSON-formattable dictionaries
 828     player_info = player_hashkey_info_data(request)
 829
 830     player = player_info['player'].to_dict()
 831
 832     games_played = {}
 833     for game in player_info['games_played']:
 834         games_played[game.game_type_cd] = to_json(game)
 835
 836     overall_stats = {}
 837     for gt,stats in player_info['overall_stats'].items():
 838         overall_stats[gt] = to_json(stats)
 839
 840     elos = {}
 841     for gt,elo in player_info['elos'].items():
 842         elos[gt] = to_json(elo.to_dict())
 843
 844     ranks = {}
 845     for gt,rank in player_info['ranks'].items():
 846         ranks[gt] = to_json(rank)
 847
 848     fav_maps = {}
 849     for gt,mapinfo in player_info['fav_maps'].items():
 850         fav_maps[gt] = to_json(mapinfo)
 851
 852     most_recent_game = to_json(player_info['most_recent_game'])
 853
 854     return [{
 855         'version':          1,
 856         'player':           player,
 857         'games_played':     games_played,
 858         'overall_stats':    overall_stats,
 859         'fav_maps':         fav_maps,
 860         'elos':             elos,
 861         'ranks':            ranks,
 862         'most_recent_game': most_recent_game,
 863     }]
 864
 865
 866 def player_hashkey_info_text(request):
 867     """
 868     Provides detailed information on a specific player. Plain text.
 869     """
 870     # UTC epoch
 871     now = timegm(datetime.datetime.utcnow().timetuple())
 872
 873     # All player_info fields are converted into JSON-formattable dictionaries
 874     player_info = player_hashkey_info_data(request)
 875
 876     # gather all of the data up into aggregate structures
 877     player = player_info['player']
 878     games_played = player_info['games_played']
 879     overall_stats = player_info['overall_stats']
 880     elos = player_info['elos']
 881     ranks = player_info['ranks']
 882     fav_maps = player_info['fav_maps']
 883     most_recent_game = player_info['most_recent_game']
 884
 885     # one-offs for things needing conversion for text/plain
 886     player_joined = timegm(player.create_dt.timetuple())
 887     player_joined_dt = player.create_dt
 888     alivetime = int(datetime_seconds(overall_stats['overall'].total_playing_time))
 889
 890     # this is a plain text response, if we don't do this here then
 891     # Pyramid will assume html
 892     request.response.content_type = 'text/plain'
 893
 894     return {
 895         'version':          1,
 896         'now':              now,
 897         'player':           player,
 898         'hashkey':          player_info['hashkey'],
 899         'player_joined':    player_joined,
 900         'player_joined_dt': player_joined_dt,
 901         'games_played':     games_played,
 902         'overall_stats':    overall_stats,
 903         'alivetime':        alivetime,
 904         'fav_maps':         fav_maps,
 905         'elos':             elos,
 906         'ranks':            ranks,
 907         'most_recent_game': most_recent_game,
 908     }
 909
 910
 911 def player_elo_info_data(request):
 912     """
 913     Provides elo information on a specific player. Raw data is returned.
 914     """
 915     hashkey = request.matchdict['hashkey']
 916     print "player_elo_info_data [hashkey={0}]".format(hashkey)
 917     try:
 918         player = DBSession.query(Player).\
 919                 filter(Player.player_id == Hashkey.player_id).\
 920                 filter(Player.active_ind == True).\
 921                 filter(Hashkey.hashkey == hashkey).one()
 922
 923         elos = get_elos(player.player_id)
 924
 925     except Exception as e:
 926         log.debug(e)
 927         raise pyramid.httpexceptions.HTTPNotFound
 928
 929     return {
 930         'hashkey':hashkey,
 931         'player':player,
 932         'elos':elos,
 933     }
 934
 935
 936 def player_elo_info_json(request):
 937     """
 938     Provides elo information on a specific player. JSON.
 939     """
 940     elo_info = player_elo_info_data(request)
 941
 942     player = player_info['player'].to_dict()
 943
 944     elos = {}
 945     for gt, elo in elo_info['elos'].items():
 946         elos[gt] = to_json(elo.to_dict())
 947
 948     return [{
 949         'version':          1,
 950         'player':           player,
 951         'elos':             elos,
 952     }]
 953
 954
 955 def player_elo_info_text(request):
 956     """
 957     Provides elo information on a specific player. Plain text.
 958     """
 959     # UTC epoch
 960     now = timegm(datetime.datetime.utcnow().timetuple())
 961
 962     # All player_info fields are converted into JSON-formattable dictionaries
 963     elo_info = player_elo_info_data(request)
 964
 965     # this is a plain text response, if we don't do this here then
 966     # Pyramid will assume html
 967     request.response.content_type = 'text/plain'
 968
 969     return {
 970         'version':          1,
 971         'now':              now,
 972         'hashkey':          elo_info['hashkey'],
 973         'player':           elo_info['player'],
 974         'elos':             elo_info['elos'],
 975     }
 976
 977
 978 def player_captimes_data(request):
 979     player_id = int(request.matchdict['id'])
 980     if player_id <= 2:
 981         player_id = -1;
 982
 983     PlayerCaptimes = namedtuple('PlayerCaptimes', ['fastest_cap', 'create_dt', 'create_dt_epoch', 'create_dt_fuzzy',
 984         'player_id', 'game_id', 'map_id', 'map_name', 'server_id', 'server_name'])
 985
 986     dbquery = DBSession.query('fastest_cap', 'create_dt', 'player_id', 'game_id', 'map_id',
 987                 'map_name', 'server_id', 'server_name').\
 988             from_statement(
 989                 "SELECT ct.fastest_cap, "
 990                        "ct.create_dt, "
 991                        "ct.player_id, "
 992                        "ct.game_id, "
 993                        "ct.map_id, "
 994                        "m.name map_name, "
 995                        "g.server_id, "
 996                        "s.name server_name "
 997                 "FROM   player_map_captimes ct, "
 998                        "games g, "
 999                        "maps m, "
1000                        "servers s "
1001                 "WHERE  ct.player_id = :player_id "
1002                   "AND  g.game_id = ct.game_id "
1003                   "AND  g.server_id = s.server_id "
1004                   "AND  m.map_id = ct.map_id "
1005                 #"ORDER  BY ct.fastest_cap "
1006                 "ORDER  BY ct.create_dt desc"
1007             ).params(player_id=player_id).all()
1008
1009     player = DBSession.query(Player).filter_by(player_id=player_id).one()
1010
1011     player_captimes = []
1012     for row in dbquery:
1013         player_captimes.append(PlayerCaptimes(
1014                 fastest_cap=row.fastest_cap,
1015                 create_dt=row.create_dt,
1016                 create_dt_epoch=timegm(row.create_dt.timetuple()),
1017                 create_dt_fuzzy=pretty_date(row.create_dt),
1018                 player_id=row.player_id,
1019                 game_id=row.game_id,
1020                 map_id=row.map_id,
1021                 map_name=row.map_name,
1022                 server_id=row.server_id,
1023                 server_name=row.server_name,
1024             ))
1025
1026     return {
1027             'captimes':player_captimes,
1028             'player_id':player_id,
1029             'player_url':request.route_url('player_info', id=player_id),
1030             'player':player,
1031         }
1032
1033 def player_captimes(request):
1034     return player_captimes_data(request)
1035
1036 def player_captimes_json(request):
1037     return player_captimes_data(request)
1038
1039
1040 def player_nvd3_damage(request):
1041     player_id = int(request.matchdict['id'])
1042     if player_id <= 2:
1043         player_id = -1;
1044
1045     game_type_cd = None
1046     if request.params.has_key("game_type"):
1047         game_type_cd = request.params["game_type"]
1048
1049     limit = 20
1050     if request.params.has_key("limit"):
1051         limit = int(request.params["limit"])
1052
1053         if limit < 0:
1054             limit = 20
1055         if limit > 50:
1056             limit = 50
1057
1058     return { "player_id": player_id,
1059         "game_type_cd": game_type_cd,
1060         "limit": limit,
1061     }
1062
1063 def player_weaponstats_data_json(request):
1064     player_id = request.matchdict["id"]
1065     if player_id <= 2:
1066         player_id = -1;
1067
1068     game_type_cd = None
1069     if request.params.has_key("game_type"):
1070         game_type_cd = request.params["game_type"]
1071
1072     limit = 20
1073     if request.params.has_key("limit"):
1074         limit = int(request.params["limit"])
1075
1076         if limit < 0:
1077             limit = 20
1078         if limit > 50:
1079             limit = 50
1080
1081     games_raw = DBSession.query(sa.distinct(Game.game_id)).\
1082         filter(Game.game_id == PlayerWeaponStat.game_id).\
1083         filter(PlayerWeaponStat.player_id == player_id)
1084
1085     if game_type_cd is not None:
1086         games_raw = games_raw.filter(Game.game_type_cd == game_type_cd)
1087
1088     games_raw = games_raw.order_by(Game.game_id.desc()).limit(limit).all()
1089
1090     weapon_stats_raw = DBSession.query(PlayerWeaponStat).\
1091         filter(PlayerWeaponStat.player_id == player_id).\
1092         filter(PlayerWeaponStat.game_id.in_(games_raw)).all()
1093
1094     # NVD3 expects data points for all weapons used across the
1095     # set of games *for each* point on the x axis. This means populating
1096     # zero-valued weapon stat entries for games where a weapon was not
1097     # used in that game, but was used in another game for the set
1098     games_to_weapons = {}
1099     weapons_used = []
1100     for ws in weapon_stats_raw:
1101         if ws.game_id not in games_to_weapons:
1102             games_to_weapons[ws.game_id] = [ws.weapon_cd]
1103         else:
1104             games_to_weapons[ws.game_id].append(ws.weapon_cd)
1105
1106         if ws.weapon_cd not in weapons_used:
1107             weapons_used.append(ws.weapon_cd)
1108
1109     for game_id in games_to_weapons.keys():
1110         for weapon_cd in set(weapons_used) - set(games_to_weapons[game_id]):
1111             log.debug("Inserting zero value for game_id {0} weapon {1}".format(game_id, weapon_cd))
1112             weapon_stats_raw.append(PlayerWeaponStat(player_id=player_id,
1113                 game_id=game_id, weapon_cd=weapon_cd))
1114
1115
1116     weapon_stats_raw = sorted(weapon_stats_raw, key              = lambda x: x.game_id)
1117     games            = sorted(games_to_weapons.keys())
1118     weapon_stats     = [ws.to_dict() for ws in weapon_stats_raw]
1119
1120     return {
1121         "weapon_stats": weapon_stats,
1122         "weapons_used": weapons_used,
1123         "games": games,
1124     }
1125