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 player_id = :player_id "
 349                 "order by rank").\
 350             params(player_id=player_id).all()
 351
 352     ranks = {}
 353     found_top_rank = False
 354     for row in raw_ranks:
 355         rank = Rank(rank=row.rank,
 356             max_rank=row.max_rank,
 357             percentile=100 - 100*float(row.rank-1)/(row.max_rank-1),
 358             game_type_cd=row.game_type_cd)
 359
 360
 361         if not found_top_rank:
 362             ranks['overall'] = rank
 363             found_top_rank = True
 364         elif rank.percentile > ranks['overall'].percentile:
 365             ranks['overall'] = rank
 366
 367         ranks[row.game_type_cd] = rank
 368
 369     return ranks;
 370
 371
 372 def get_elos(player_id):
 373     """
 374     Provides a breakdown of the player's elos by game type.
 375
 376     Returns a dictionary of namedtuples with the following members:
 377         - player_id
 378         - game_type_cd
 379         - games
 380         - elo
 381
 382     The key to the dictionary is the game type code. There is also an
 383     "overall" game_type_cd which is the overall best rank.
 384     """
 385     raw_elos = DBSession.query(PlayerElo).filter_by(player_id=player_id).\
 386             order_by(PlayerElo.elo.desc()).all()
 387
 388     elos = {}
 389     found_max_elo = False
 390     for row in raw_elos:
 391         if not found_max_elo:
 392             elos['overall'] = row
 393             found_max_elo = True
 394
 395         elos[row.game_type_cd] = row
 396
 397     return elos
 398
 399
 400 def get_recent_games(player_id, limit=10):
 401     """
 402     Provides a list of recent games for a player. Uses the recent_games_q helper.
 403     """
 404     # recent games played in descending order
 405     rgs = recent_games_q(player_id=player_id, force_player_id=True).limit(limit).all()
 406     recent_games = [RecentGame(row) for row in rgs]
 407
 408     return recent_games
 409
 410
 411 def get_recent_weapons(player_id):
 412     """
 413     Returns the weapons that have been used in the past 90 days
 414     and also used in 5 games or more.
 415     """
 416     cutoff = datetime.datetime.utcnow() - datetime.timedelta(days=90)
 417     recent_weapons = []
 418     for weapon in DBSession.query(PlayerWeaponStat.weapon_cd, func.count()).\
 419             filter(PlayerWeaponStat.player_id == player_id).\
 420             filter(PlayerWeaponStat.create_dt > cutoff).\
 421             group_by(PlayerWeaponStat.weapon_cd).\
 422             having(func.count() > 4).\
 423             all():
 424                 recent_weapons.append(weapon[0])
 425
 426     return recent_weapons
 427
 428
 429 def get_accuracy_stats(player_id, weapon_cd, games):
 430     """
 431     Provides accuracy for weapon_cd by player_id for the past N games.
 432     """
 433     # Reaching back 90 days should give us an accurate enough average
 434     # We then multiply this out for the number of data points (games) to
 435     # create parameters for a flot graph
 436     try:
 437         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.hit),
 438                 func.sum(PlayerWeaponStat.fired)).\
 439                 filter(PlayerWeaponStat.player_id == player_id).\
 440                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 441                 one()
 442
 443         avg = round(float(raw_avg[0])/raw_avg[1]*100, 2)
 444
 445         # Determine the raw accuracy (hit, fired) numbers for $games games
 446         # This is then enumerated to create parameters for a flot graph
 447         raw_accs = DBSession.query(PlayerWeaponStat.game_id,
 448             PlayerWeaponStat.hit, PlayerWeaponStat.fired).\
 449                 filter(PlayerWeaponStat.player_id == player_id).\
 450                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 451                 order_by(PlayerWeaponStat.game_id.desc()).\
 452                 limit(games).\
 453                 all()
 454
 455         # they come out in opposite order, so flip them in the right direction
 456         raw_accs.reverse()
 457
 458         accs = []
 459         for i in range(len(raw_accs)):
 460             accs.append((raw_accs[i][0], round(float(raw_accs[i][1])/raw_accs[i][2]*100, 2)))
 461     except:
 462         accs = []
 463         avg = 0.0
 464
 465     return (avg, accs)
 466
 467
 468 def get_damage_stats(player_id, weapon_cd, games):
 469     """
 470     Provides damage info for weapon_cd by player_id for the past N games.
 471     """
 472     try:
 473         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.actual),
 474                 func.sum(PlayerWeaponStat.hit)).\
 475                 filter(PlayerWeaponStat.player_id == player_id).\
 476                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 477                 one()
 478
 479         avg = round(float(raw_avg[0])/raw_avg[1], 2)
 480
 481         # Determine the damage efficiency (hit, fired) numbers for $games games
 482         # This is then enumerated to create parameters for a flot graph
 483         raw_dmgs = DBSession.query(PlayerWeaponStat.game_id,
 484             PlayerWeaponStat.actual, PlayerWeaponStat.hit).\
 485                 filter(PlayerWeaponStat.player_id == player_id).\
 486                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 487                 order_by(PlayerWeaponStat.game_id.desc()).\
 488                 limit(games).\
 489                 all()
 490
 491         # they come out in opposite order, so flip them in the right direction
 492         raw_dmgs.reverse()
 493
 494         dmgs = []
 495         for i in range(len(raw_dmgs)):
 496             # try to derive, unless we've hit nothing then set to 0!
 497             try:
 498                 dmg = round(float(raw_dmgs[i][1])/raw_dmgs[i][2], 2)
 499             except:
 500                 dmg = 0.0
 501
 502             dmgs.append((raw_dmgs[i][0], dmg))
 503     except Exception as e:
 504         dmgs = []
 505         avg = 0.0
 506
 507     return (avg, dmgs)
 508
 509
 510 def player_info_data(request):
 511     player_id = int(request.matchdict['id'])
 512     if player_id <= 2:
 513         player_id = -1;
 514
 515     try:
 516         player = DBSession.query(Player).filter_by(player_id=player_id).\
 517                 filter(Player.active_ind == True).one()
 518
 519         games_played   = get_games_played(player_id)
 520         overall_stats  = get_overall_stats(player_id)
 521         fav_maps       = get_fav_maps(player_id)
 522         elos           = get_elos(player_id)
 523         ranks          = get_ranks(player_id)
 524         recent_games   = get_recent_games(player_id)
 525         recent_weapons = get_recent_weapons(player_id)
 526         cake_day       = is_cake_day(player.create_dt)
 527
 528     except Exception as e:
 529         player         = None
 530         games_played   = None
 531         overall_stats  = None
 532         fav_maps       = None
 533         elos           = None
 534         ranks          = None
 535         recent_games   = None
 536         recent_weapons = []
 537         cake_day       = False
 538         ## do not raise exceptions here (only for debugging)
 539         # raise e
 540
 541     return {'player':player,
 542             'games_played':games_played,
 543             'overall_stats':overall_stats,
 544             'fav_maps':fav_maps,
 545             'elos':elos,
 546             'ranks':ranks,
 547             'recent_games':recent_games,
 548             'recent_weapons':recent_weapons,
 549             'cake_day':cake_day,
 550             }
 551
 552
 553 def player_info(request):
 554     """
 555     Provides detailed information on a specific player
 556     """
 557     return player_info_data(request)
 558
 559
 560 def player_info_json(request):
 561     """
 562     Provides detailed information on a specific player. JSON.
 563     """
 564
 565     # All player_info fields are converted into JSON-formattable dictionaries
 566     player_info = player_info_data(request)
 567
 568     player = player_info['player'].to_dict()
 569
 570     games_played = {}
 571     for game in player_info['games_played']:
 572         games_played[game.game_type_cd] = to_json(game)
 573
 574     overall_stats = {}
 575     for gt,stats in player_info['overall_stats'].items():
 576         overall_stats[gt] = to_json(stats)
 577
 578     elos = {}
 579     for gt,elo in player_info['elos'].items():
 580         elos[gt] = to_json(elo.to_dict())
 581
 582     ranks = {}
 583     for gt,rank in player_info['ranks'].items():
 584         ranks[gt] = to_json(rank)
 585
 586     fav_maps = {}
 587     for gt,mapinfo in player_info['fav_maps'].items():
 588         fav_maps[gt] = to_json(mapinfo)
 589
 590     recent_games = []
 591     for game in player_info['recent_games']:
 592         recent_games.append(to_json(game))
 593
 594     #recent_weapons = player_info['recent_weapons']
 595
 596     return [{
 597         'player':           player,
 598         'games_played':     games_played,
 599         'overall_stats':    overall_stats,
 600         'fav_maps':         fav_maps,
 601         'elos':             elos,
 602         'ranks':            ranks,
 603         'recent_games':     recent_games,
 604     #    'recent_weapons':   recent_weapons,
 605         'recent_weapons':   ['not implemented'],
 606     }]
 607     #return [{'status':'not implemented'}]
 608
 609
 610 def player_game_index_data(request):
 611     player_id = request.matchdict['player_id']
 612
 613     game_type_cd = None
 614     game_type_descr = None
 615
 616     if request.params.has_key('type'):
 617         game_type_cd = request.params['type']
 618         try:
 619             game_type_descr = DBSession.query(GameType.descr).\
 620                 filter(GameType.game_type_cd == game_type_cd).\
 621                 one()[0]
 622         except Exception as e:
 623             pass
 624
 625     else:
 626         game_type_cd = None
 627         game_type_descr = None
 628
 629     if request.params.has_key('page'):
 630         current_page = request.params['page']
 631     else:
 632         current_page = 1
 633
 634     try:
 635         player = DBSession.query(Player).\
 636                 filter_by(player_id=player_id).\
 637                 filter(Player.active_ind == True).\
 638                 one()
 639
 640         rgs_q = recent_games_q(player_id=player.player_id,
 641             force_player_id=True, game_type_cd=game_type_cd)
 642
 643         games = Page(rgs_q, current_page, items_per_page=20, url=page_url)
 644
 645         # replace the items in the canned pagination class with more rich ones
 646         games.items = [RecentGame(row) for row in games.items]
 647
 648         games_played = get_games_played(player_id)
 649
 650     except Exception as e:
 651         player = None
 652         games = None
 653         game_type_cd = None
 654         game_type_descr = None
 655         games_played = None
 656
 657     return {
 658             'player_id':player.player_id,
 659             'player':player,
 660             'games':games,
 661             'game_type_cd':game_type_cd,
 662             'game_type_descr':game_type_descr,
 663             'games_played':games_played,
 664            }
 665
 666
 667 def player_game_index(request):
 668     """
 669     Provides an index of the games in which a particular
 670     player was involved. This is ordered by game_id, with
 671     the most recent game_ids first. Paginated.
 672     """
 673     return player_game_index_data(request)
 674
 675
 676 def player_game_index_json(request):
 677     """
 678     Provides an index of the games in which a particular
 679     player was involved. This is ordered by game_id, with
 680     the most recent game_ids first. Paginated. JSON.
 681     """
 682     return [{'status':'not implemented'}]
 683
 684
 685 def player_accuracy_data(request):
 686     player_id = request.matchdict['id']
 687     allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']
 688     weapon_cd = 'nex'
 689     games = 20
 690
 691     if request.params.has_key('weapon'):
 692         if request.params['weapon'] in allowed_weapons:
 693             weapon_cd = request.params['weapon']
 694
 695     if request.params.has_key('games'):
 696         try:
 697             games = request.params['games']
 698
 699             if games < 0:
 700                 games = 20
 701             if games > 50:
 702                 games = 50
 703         except:
 704             games = 20
 705
 706     (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)
 707
 708     # if we don't have enough data for the given weapon
 709     if len(accs) < games:
 710         games = len(accs)
 711
 712     return {
 713             'player_id':player_id,
 714             'player_url':request.route_url('player_info', id=player_id),
 715             'weapon':weapon_cd,
 716             'games':games,
 717             'avg':avg,
 718             'accs':accs
 719             }
 720
 721
 722 def player_accuracy(request):
 723     """
 724     Provides the accuracy for the given weapon. (JSON only)
 725     """
 726     return player_accuracy_data(request)
 727
 728
 729 def player_accuracy_json(request):
 730     """
 731     Provides a JSON response representing the accuracy for the given weapon.
 732
 733     Parameters:
 734        weapon = which weapon to display accuracy for. Valid values are 'nex',
 735                 'shotgun', 'uzi', and 'minstanex'.
 736        games = over how many games to display accuracy. Can be up to 50.
 737     """
 738     return player_accuracy_data(request)
 739
 740
 741 def player_damage_data(request):
 742     player_id = request.matchdict['id']
 743     allowed_weapons = ['grenadelauncher', 'electro', 'crylink', 'hagar',
 744             'rocketlauncher', 'laser']
 745     weapon_cd = 'rocketlauncher'
 746     games = 20
 747
 748     if request.params.has_key('weapon'):
 749         if request.params['weapon'] in allowed_weapons:
 750             weapon_cd = request.params['weapon']
 751
 752     if request.params.has_key('games'):
 753         try:
 754             games = request.params['games']
 755
 756             if games < 0:
 757                 games = 20
 758             if games > 50:
 759                 games = 50
 760         except:
 761             games = 20
 762
 763     (avg, dmgs) = get_damage_stats(player_id, weapon_cd, games)
 764
 765     # if we don't have enough data for the given weapon
 766     if len(dmgs) < games:
 767         games = len(dmgs)
 768
 769     return {
 770             'player_id':player_id,
 771             'player_url':request.route_url('player_info', id=player_id),
 772             'weapon':weapon_cd,
 773             'games':games,
 774             'avg':avg,
 775             'dmgs':dmgs
 776             }
 777
 778
 779 def player_damage_json(request):
 780     """
 781     Provides a JSON response representing the damage for the given weapon.
 782
 783     Parameters:
 784        weapon = which weapon to display damage for. Valid values are
 785          'grenadelauncher', 'electro', 'crylink', 'hagar', 'rocketlauncher',
 786          'laser'.
 787        games = over how many games to display damage. Can be up to 50.
 788     """
 789     return player_damage_data(request)
 790
 791
 792 def player_hashkey_info_data(request):
 793     # hashkey = request.matchdict['hashkey']
 794
 795     # the incoming hashkey is double quoted, and WSGI unquotes once...
 796     # hashkey = unquote(hashkey)
 797
 798     # if using request verification to obtain the hashkey
 799     (idfp, status) = verify_request(request)
 800     log.debug("d0_blind_id verification: idfp={0} status={1}\n".format(idfp, status))
 801
 802     log.debug("\n----- BEGIN REQUEST BODY -----\n" + request.body +
 803             "----- END REQUEST BODY -----\n\n")
 804
 805     # if config is to *not* verify requests and we get nothing back, this
 806     # query will return nothing and we'll 404.
 807     try:
 808         player = DBSession.query(Player).\
 809                 filter(Player.player_id == Hashkey.player_id).\
 810                 filter(Player.active_ind == True).\
 811                 filter(Hashkey.hashkey == idfp).one()
 812
 813         games_played      = get_games_played(player.player_id)
 814         overall_stats     = get_overall_stats(player.player_id)
 815         fav_maps          = get_fav_maps(player.player_id)
 816         elos              = get_elos(player.player_id)
 817         ranks             = get_ranks(player.player_id)
 818         most_recent_game  = get_recent_games(player.player_id, 1)[0]
 819
 820     except Exception as e:
 821         raise pyramid.httpexceptions.HTTPNotFound
 822
 823     return {'player':player,
 824             'hashkey':idfp,
 825             'games_played':games_played,
 826             'overall_stats':overall_stats,
 827             'fav_maps':fav_maps,
 828             'elos':elos,
 829             'ranks':ranks,
 830             'most_recent_game':most_recent_game,
 831             }
 832
 833
 834 def player_hashkey_info_json(request):
 835     """
 836     Provides detailed information on a specific player. JSON.
 837     """
 838
 839     # All player_info fields are converted into JSON-formattable dictionaries
 840     player_info = player_hashkey_info_data(request)
 841
 842     player = player_info['player'].to_dict()
 843
 844     games_played = {}
 845     for game in player_info['games_played']:
 846         games_played[game.game_type_cd] = to_json(game)
 847
 848     overall_stats = {}
 849     for gt,stats in player_info['overall_stats'].items():
 850         overall_stats[gt] = to_json(stats)
 851
 852     elos = {}
 853     for gt,elo in player_info['elos'].items():
 854         elos[gt] = to_json(elo.to_dict())
 855
 856     ranks = {}
 857     for gt,rank in player_info['ranks'].items():
 858         ranks[gt] = to_json(rank)
 859
 860     fav_maps = {}
 861     for gt,mapinfo in player_info['fav_maps'].items():
 862         fav_maps[gt] = to_json(mapinfo)
 863
 864     most_recent_game = to_json(player_info['most_recent_game'])
 865
 866     return [{
 867         'version':          1,
 868         'player':           player,
 869         'games_played':     games_played,
 870         'overall_stats':    overall_stats,
 871         'fav_maps':         fav_maps,
 872         'elos':             elos,
 873         'ranks':            ranks,
 874         'most_recent_game': most_recent_game,
 875     }]
 876
 877
 878 def player_hashkey_info_text(request):
 879     """
 880     Provides detailed information on a specific player. Plain text.
 881     """
 882     # UTC epoch
 883     now = timegm(datetime.datetime.utcnow().timetuple())
 884
 885     # All player_info fields are converted into JSON-formattable dictionaries
 886     player_info = player_hashkey_info_data(request)
 887
 888     # gather all of the data up into aggregate structures
 889     player = player_info['player']
 890     games_played = player_info['games_played']
 891     overall_stats = player_info['overall_stats']
 892     elos = player_info['elos']
 893     ranks = player_info['ranks']
 894     fav_maps = player_info['fav_maps']
 895     most_recent_game = player_info['most_recent_game']
 896
 897     # one-offs for things needing conversion for text/plain
 898     player_joined = timegm(player.create_dt.timetuple())
 899     player_joined_dt = player.create_dt
 900     alivetime = int(datetime_seconds(overall_stats['overall'].total_playing_time))
 901
 902     # this is a plain text response, if we don't do this here then
 903     # Pyramid will assume html
 904     request.response.content_type = 'text/plain'
 905
 906     return {
 907         'version':          1,
 908         'now':              now,
 909         'player':           player,
 910         'hashkey':          player_info['hashkey'],
 911         'player_joined':    player_joined,
 912         'player_joined_dt': player_joined_dt,
 913         'games_played':     games_played,
 914         'overall_stats':    overall_stats,
 915         'alivetime':        alivetime,
 916         'fav_maps':         fav_maps,
 917         'elos':             elos,
 918         'ranks':            ranks,
 919         'most_recent_game': most_recent_game,
 920     }
 921
 922
 923 def player_elo_info_data(request):
 924     """
 925     Provides elo information on a specific player. Raw data is returned.
 926     """
 927     (idfp, status) = verify_request(request)
 928     log.debug("d0_blind_id verification: idfp={0} status={1}\n".format(idfp, status))
 929
 930     log.debug("\n----- BEGIN REQUEST BODY -----\n" + request.body +
 931             "----- END REQUEST BODY -----\n\n")
 932
 933     hashkey = request.matchdict['hashkey']
 934
 935     # the incoming hashkey is double quoted, and WSGI unquotes once...
 936     hashkey = unquote(hashkey)
 937
 938     try:
 939         player = DBSession.query(Player).\
 940                 filter(Player.player_id == Hashkey.player_id).\
 941                 filter(Player.active_ind == True).\
 942                 filter(Hashkey.hashkey == hashkey).one()
 943
 944         elos = get_elos(player.player_id)
 945
 946     except Exception as e:
 947         log.debug(e)
 948         raise pyramid.httpexceptions.HTTPNotFound
 949
 950     return {
 951         'hashkey':hashkey,
 952         'player':player,
 953         'elos':elos,
 954     }
 955
 956
 957 def player_elo_info_json(request):
 958     """
 959     Provides elo information on a specific player. JSON.
 960     """
 961     elo_info = player_elo_info_data(request)
 962
 963     player = player_info['player'].to_dict()
 964
 965     elos = {}
 966     for gt, elo in elo_info['elos'].items():
 967         elos[gt] = to_json(elo.to_dict())
 968
 969     return [{
 970         'version':          1,
 971         'player':           player,
 972         'elos':             elos,
 973     }]
 974
 975
 976 def player_elo_info_text(request):
 977     """
 978     Provides elo information on a specific player. Plain text.
 979     """
 980     # UTC epoch
 981     now = timegm(datetime.datetime.utcnow().timetuple())
 982
 983     # All player_info fields are converted into JSON-formattable dictionaries
 984     elo_info = player_elo_info_data(request)
 985
 986     # this is a plain text response, if we don't do this here then
 987     # Pyramid will assume html
 988     request.response.content_type = 'text/plain'
 989
 990     return {
 991         'version':          1,
 992         'now':              now,
 993         'hashkey':          elo_info['hashkey'],
 994         'player':           elo_info['player'],
 995         'elos':             elo_info['elos'],
 996     }
 997
 998
 999 def player_captimes_data(request):
1000     player_id = int(request.matchdict['player_id'])
1001     if player_id <= 2:
1002         player_id = -1;
1003
1004     if request.params.has_key('page'):
1005         current_page = request.params['page']
1006     else:
1007         current_page = 1
1008
1009     PlayerCaptimes = namedtuple('PlayerCaptimes', ['fastest_cap',
1010             'create_dt', 'create_dt_epoch', 'create_dt_fuzzy',
1011             'player_id', 'game_id', 'map_id', 'map_name', 'server_id', 'server_name'])
1012
1013     player = DBSession.query(Player).filter_by(player_id=player_id).one()
1014
1015     #pct_q = DBSession.query('fastest_cap', 'create_dt', 'player_id', 'game_id', 'map_id',
1016     #            'map_name', 'server_id', 'server_name').\
1017     #        from_statement(
1018     #            "SELECT ct.fastest_cap, "
1019     #                   "ct.create_dt, "
1020     #                   "ct.player_id, "
1021     #                   "ct.game_id, "
1022     #                   "ct.map_id, "
1023     #                   "m.name map_name, "
1024     #                   "g.server_id, "
1025     #                   "s.name server_name "
1026     #            "FROM   player_map_captimes ct, "
1027     #                   "games g, "
1028     #                   "maps m, "
1029     #                   "servers s "
1030     #            "WHERE  ct.player_id = :player_id "
1031     #              "AND  g.game_id = ct.game_id "
1032     #              "AND  g.server_id = s.server_id "
1033     #              "AND  m.map_id = ct.map_id "
1034     #            #"ORDER  BY ct.fastest_cap "
1035     #            "ORDER  BY ct.create_dt desc"
1036     #        ).params(player_id=player_id)
1037
1038     try:
1039         pct_q = DBSession.query(PlayerCaptime.fastest_cap, PlayerCaptime.create_dt,
1040                 PlayerCaptime.player_id, PlayerCaptime.game_id, PlayerCaptime.map_id,
1041                 Map.name.label('map_name'), Game.server_id, Server.name.label('server_name')).\
1042                 filter(PlayerCaptime.player_id==player_id).\
1043                 filter(PlayerCaptime.game_id==Game.game_id).\
1044                 filter(PlayerCaptime.map_id==Map.map_id).\
1045                 filter(Game.server_id==Server.server_id).\
1046                 order_by(expr.asc(PlayerCaptime.fastest_cap))  # or PlayerCaptime.create_dt
1047
1048         player_captimes = Page(pct_q, current_page, items_per_page=20, url=page_url)
1049
1050         # replace the items in the canned pagination class with more rich ones
1051         player_captimes.items = [PlayerCaptimes(
1052                 fastest_cap=row.fastest_cap,
1053                 create_dt=row.create_dt,
1054                 create_dt_epoch=timegm(row.create_dt.timetuple()),
1055                 create_dt_fuzzy=pretty_date(row.create_dt),
1056                 player_id=row.player_id,
1057                 game_id=row.game_id,
1058                 map_id=row.map_id,
1059                 map_name=row.map_name,
1060                 server_id=row.server_id,
1061                 server_name=row.server_name
1062                 ) for row in player_captimes.items]
1063
1064     except Exception as e:
1065         player = None
1066         player_captimes = None
1067
1068     return {
1069             'player_id':player_id,
1070             'player':player,
1071             'captimes':player_captimes,
1072             #'player_url':request.route_url('player_info', id=player_id),
1073         }
1074
1075
1076 def player_captimes(request):
1077     return player_captimes_data(request)
1078
1079
1080 def player_captimes_json(request):
1081     return player_captimes_data(request)
1082
1083
1084 def player_weaponstats_data_json(request):
1085     player_id = request.matchdict["id"]
1086     if player_id <= 2:
1087         player_id = -1;
1088
1089     game_type_cd = request.params.get("game_type", None)
1090     if game_type_cd == "overall":
1091         game_type_cd = None
1092
1093     limit = 20
1094     if request.params.has_key("limit"):
1095         limit = int(request.params["limit"])
1096
1097         if limit < 0:
1098             limit = 20
1099         if limit > 50:
1100             limit = 50
1101
1102     games_raw = DBSession.query(sa.distinct(Game.game_id)).\
1103         filter(Game.game_id == PlayerWeaponStat.game_id).\
1104         filter(PlayerWeaponStat.player_id == player_id)
1105
1106     if game_type_cd is not None:
1107         games_raw = games_raw.filter(Game.game_type_cd == game_type_cd)
1108
1109     games_raw = games_raw.order_by(Game.game_id.desc()).limit(limit).all()
1110
1111     weapon_stats_raw = DBSession.query(PlayerWeaponStat).\
1112         filter(PlayerWeaponStat.player_id == player_id).\
1113         filter(PlayerWeaponStat.game_id.in_(games_raw)).all()
1114
1115     # NVD3 expects data points for all weapons used across the
1116     # set of games *for each* point on the x axis. This means populating
1117     # zero-valued weapon stat entries for games where a weapon was not
1118     # used in that game, but was used in another game for the set
1119     games_to_weapons = {}
1120     weapons_used = {}
1121     sum_avgs = {}
1122     for ws in weapon_stats_raw:
1123         if ws.game_id not in games_to_weapons:
1124             games_to_weapons[ws.game_id] = [ws.weapon_cd]
1125         else:
1126             games_to_weapons[ws.game_id].append(ws.weapon_cd)
1127
1128         weapons_used[ws.weapon_cd] = weapons_used.get(ws.weapon_cd, 0) + 1
1129         sum_avgs[ws.weapon_cd] = sum_avgs.get(ws.weapon_cd, 0) + float(ws.hit)/float(ws.fired)
1130
1131     for game_id in games_to_weapons.keys():
1132         for weapon_cd in set(weapons_used.keys()) - set(games_to_weapons[game_id]):
1133             weapon_stats_raw.append(PlayerWeaponStat(player_id=player_id,
1134                 game_id=game_id, weapon_cd=weapon_cd))
1135
1136     # averages for the weapons used in the range
1137     avgs = {}
1138     for w in weapons_used.keys():
1139         avgs[w] = round(sum_avgs[w]/float(weapons_used[w])*100, 2)
1140
1141     weapon_stats_raw = sorted(weapon_stats_raw, key = lambda x: x.game_id)
1142     games            = sorted(games_to_weapons.keys())
1143     weapon_stats     = [ws.to_dict() for ws in weapon_stats_raw]
1144
1145     return {
1146         "weapon_stats": weapon_stats,
1147         "weapons_used": weapons_used.keys(),
1148         "games": games,
1149         "averages": avgs,
1150     }
1151