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