xonstat/views/player.py

   1 import datetime
   2 import json
   3 import logging
   4 import re
   5 import sqlalchemy as sa
   6 import sqlalchemy.sql.functions as func
   7 import time
   8 from calendar import timegm
   9 from collections import namedtuple
  10 from pyramid.response import Response
  11 from pyramid.url import current_route_url
  12 from sqlalchemy import desc, distinct
  13 from webhelpers.paginate import Page, PageURL
  14 from xonstat.models import *
  15 from xonstat.util import page_url, to_json, pretty_date
  16
  17 log = logging.getLogger(__name__)
  18
  19
  20 def player_index_data(request):
  21     if request.params.has_key('page'):
  22         current_page = request.params['page']
  23     else:
  24         current_page = 1
  25
  26     try:
  27         player_q = DBSession.query(Player).\
  28                 filter(Player.player_id > 2).\
  29                 filter(Player.active_ind == True).\
  30                 filter(sa.not_(Player.nick.like('Anonymous Player%'))).\
  31                 order_by(Player.player_id.desc())
  32
  33         players = Page(player_q, current_page, items_per_page=10, url=page_url)
  34
  35     except Exception as e:
  36         players = None
  37         raise e
  38
  39     return {'players':players
  40            }
  41
  42
  43 def player_index(request):
  44     """
  45     Provides a list of all the current players.
  46     """
  47     return player_index_data(request)
  48
  49
  50 def player_index_json(request):
  51     """
  52     Provides a list of all the current players. JSON.
  53     """
  54     return [{'status':'not implemented'}]
  55
  56
  57 def get_games_played(player_id):
  58     """
  59     Provides a breakdown by gametype of the games played by player_id.
  60
  61     Returns a list of namedtuples with the following members:
  62         - game_type_cd
  63         - games
  64         - wins
  65         - losses
  66         - win_pct
  67
  68     The list itself is ordered by the number of games played
  69     """
  70     GamesPlayed = namedtuple('GamesPlayed', ['game_type_cd', 'games', 'wins',
  71         'losses', 'win_pct'])
  72
  73     raw_games_played = DBSession.query('game_type_cd', 'wins', 'losses').\
  74             from_statement(
  75                 "SELECT game_type_cd, "
  76                        "SUM(win) wins, "
  77                        "SUM(loss) losses "
  78                 "FROM   (SELECT g.game_id, "
  79                                "g.game_type_cd, "
  80                                "CASE "
  81                                  "WHEN g.winner = pgs.team THEN 1 "
  82                                  "WHEN pgs.rank = 1 THEN 1 "
  83                                  "ELSE 0 "
  84                                "END win, "
  85                                "CASE "
  86                                  "WHEN g.winner = pgs.team THEN 0 "
  87                                  "WHEN pgs.rank = 1 THEN 0 "
  88                                  "ELSE 1 "
  89                                "END loss "
  90                         "FROM   games g, "
  91                                "player_game_stats pgs "
  92                         "WHERE  g.game_id = pgs.game_id "
  93                         "AND pgs.player_id = :player_id) win_loss "
  94                 "GROUP  BY game_type_cd "
  95             ).params(player_id=player_id).all()
  96
  97     games_played = []
  98     overall_games = 0
  99     overall_wins = 0
 100     overall_losses = 0
 101     for row in raw_games_played:
 102         games = row.wins + row.losses
 103         overall_games += games
 104         overall_wins += row.wins
 105         overall_losses += row.losses
 106         win_pct = float(row.wins)/games * 100
 107
 108         games_played.append(GamesPlayed(row.game_type_cd, games, row.wins,
 109             row.losses, win_pct))
 110
 111     try:
 112         overall_win_pct = float(overall_wins)/overall_games * 100
 113     except:
 114         overall_win_pct = 0.0
 115
 116     games_played.append(GamesPlayed('overall', overall_games, overall_wins,
 117         overall_losses, overall_win_pct))
 118
 119     # sort the resulting list by # of games played
 120     games_played = sorted(games_played, key=lambda x:x.games)
 121     games_played.reverse()
 122     return games_played
 123
 124
 125 def get_overall_stats(player_id):
 126     """
 127     Provides a breakdown of stats by gametype played by player_id.
 128
 129     Returns a dictionary of namedtuples with the following members:
 130         - total_kills
 131         - total_deaths
 132         - k_d_ratio
 133         - last_played (last time the player played the game type)
 134         - last_played_epoch (same as above, but in seconds since epoch)
 135         - last_played_fuzzy (same as above, but in relative date)
 136         - total_playing_time (total amount of time played the game type)
 137         - total_pickups (ctf only)
 138         - total_captures (ctf only)
 139         - cap_ratio (ctf only)
 140         - total_carrier_frags (ctf only)
 141         - game_type_cd
 142
 143     The key to the dictionary is the game type code. There is also an
 144     "overall" game_type_cd which sums the totals and computes the total ratios.
 145     """
 146     OverallStats = namedtuple('OverallStats', ['total_kills', 'total_deaths',
 147         'k_d_ratio', 'last_played', 'last_played_epoch', 'last_played_fuzzy',
 148         'total_playing_time', 'total_pickups', 'total_captures', 'cap_ratio',
 149         'total_carrier_frags', 'game_type_cd'])
 150
 151     raw_stats = DBSession.query('game_type_cd', 'total_kills',
 152             'total_deaths', 'last_played', 'total_playing_time',
 153             'total_pickups', 'total_captures', 'total_carrier_frags').\
 154             from_statement(
 155                 "SELECT g.game_type_cd, "
 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                        "player_game_stats pgs "
 165                 "WHERE  g.game_id = pgs.game_id "
 166                   "AND  pgs.player_id = :player_id "
 167                 "GROUP  BY g.game_type_cd "
 168             ).params(player_id=player_id).all()
 169
 170     # to be indexed by game_type_cd
 171     overall_stats = {}
 172
 173     # sums for the "overall" game type (which is fake)
 174     overall_kills = 0
 175     overall_deaths = 0
 176     overall_last_played = None
 177     overall_playing_time = datetime.timedelta(seconds=0)
 178     overall_carrier_frags = 0
 179
 180     for row in raw_stats:
 181         # running totals or mins
 182         overall_kills += row.total_kills or 0
 183         overall_deaths += row.total_deaths or 0
 184
 185         if overall_last_played is None or row.last_played > overall_last_played:
 186             overall_last_played = row.last_played
 187
 188         overall_playing_time += row.total_playing_time
 189
 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         overall_carrier_frags += row.total_carrier_frags or 0
 202
 203         # everything else is untouched or "raw"
 204         os = OverallStats(total_kills=row.total_kills,
 205                 total_deaths=row.total_deaths,
 206                 k_d_ratio=k_d_ratio,
 207                 last_played=row.last_played,
 208                 last_played_epoch=timegm(row.last_played.timetuple()),
 209                 last_played_fuzzy=pretty_date(row.last_played),
 210                 total_playing_time=row.total_playing_time,
 211                 total_pickups=row.total_pickups,
 212                 total_captures=row.total_captures,
 213                 cap_ratio=cap_ratio,
 214                 total_carrier_frags=row.total_carrier_frags,
 215                 game_type_cd=row.game_type_cd)
 216
 217         overall_stats[row.game_type_cd] = os
 218
 219     # and lastly, the overall stuff
 220     try:
 221         overall_k_d_ratio = float(overall_kills)/overall_deaths
 222     except:
 223         overall_k_d_ratio = None
 224
 225     os = OverallStats(total_kills=overall_kills,
 226             total_deaths=overall_deaths,
 227             k_d_ratio=overall_k_d_ratio,
 228             last_played=overall_last_played,
 229             last_played_epoch=timegm(overall_last_played.timetuple()),
 230             last_played_fuzzy=pretty_date(overall_last_played),
 231             total_playing_time=overall_playing_time,
 232             total_pickups=None,
 233             total_captures=None,
 234             cap_ratio=None,
 235             total_carrier_frags=overall_carrier_frags,
 236             game_type_cd='overall')
 237
 238     overall_stats['overall'] = os
 239
 240     return overall_stats
 241
 242
 243 def get_fav_maps(player_id, game_type_cd=None):
 244     """
 245     Provides a breakdown of favorite maps by gametype.
 246
 247     Returns a dictionary of namedtuples with the following members:
 248         - game_type_cd
 249         - map_name (map name)
 250         - map_id
 251         - times_played
 252
 253     The favorite map is defined as the map you've played the most
 254     for the given game_type_cd.
 255
 256     The key to the dictionary is the game type code. There is also an
 257     "overall" game_type_cd which is the overall favorite map. This is
 258     defined as the favorite map of the game type you've played the
 259     most. The input parameter game_type_cd is for this.
 260     """
 261     FavMap = namedtuple('FavMap', ['map_name', 'map_id', 'times_played', 'game_type_cd'])
 262
 263     raw_favs = DBSession.query('game_type_cd', 'map_name',
 264             'map_id', 'times_played').\
 265             from_statement(
 266                 "SELECT game_type_cd, "
 267                        "name map_name, "
 268                        "map_id, "
 269                        "times_played "
 270                 "FROM   (SELECT g.game_type_cd, "
 271                                "m.name, "
 272                                "m.map_id, "
 273                                "Count(*) times_played, "
 274                                "Row_number() "
 275                                  "OVER ( "
 276                                    "partition BY g.game_type_cd "
 277                                    "ORDER BY Count(*) DESC, m.map_id ASC) rank "
 278                         "FROM   games g, "
 279                                "player_game_stats pgs, "
 280                                "maps m "
 281                         "WHERE  g.game_id = pgs.game_id "
 282                                "AND g.map_id = m.map_id "
 283                                "AND pgs.player_id = :player_id "
 284                         "GROUP  BY g.game_type_cd, "
 285                                   "m.map_id, "
 286                                   "m.name) most_played "
 287                 "WHERE  rank = 1 "
 288                 "ORDER BY  times_played desc "
 289             ).params(player_id=player_id).all()
 290
 291     fav_maps = {}
 292     overall_fav = None
 293     for row in raw_favs:
 294         fv = FavMap(map_name=row.map_name,
 295             map_id=row.map_id,
 296             times_played=row.times_played,
 297             game_type_cd=row.game_type_cd)
 298
 299         # if we aren't given a favorite game_type_cd
 300         # then the overall favorite is the one we've
 301         # played the most
 302         if overall_fav is None:
 303             fav_maps['overall'] = fv
 304             overall_fav = fv.game_type_cd
 305
 306         # otherwise it is the favorite map from the
 307         # favorite game_type_cd (provided as a param)
 308         # and we'll overwrite the first dict entry
 309         if game_type_cd == fv.game_type_cd:
 310             fav_maps['overall'] = fv
 311
 312         fav_maps[row.game_type_cd] = fv
 313
 314     return fav_maps
 315
 316
 317 def get_ranks(player_id):
 318     """
 319     Provides a breakdown of the player's ranks by game type.
 320
 321     Returns a dictionary of namedtuples with the following members:
 322         - game_type_cd
 323         - rank
 324         - max_rank
 325
 326     The key to the dictionary is the game type code. There is also an
 327     "overall" game_type_cd which is the overall best rank.
 328     """
 329     Rank = namedtuple('Rank', ['rank', 'max_rank', 'percentile', 'game_type_cd'])
 330
 331     raw_ranks = DBSession.query("game_type_cd", "rank", "max_rank").\
 332             from_statement(
 333                 "select pr.game_type_cd, pr.rank, overall.max_rank "
 334                 "from player_ranks pr,  "
 335                    "(select game_type_cd, max(rank) max_rank "
 336                     "from player_ranks  "
 337                     "group by game_type_cd) overall "
 338                 "where pr.game_type_cd = overall.game_type_cd  "
 339                 "and player_id = :player_id "
 340                 "order by rank").\
 341             params(player_id=player_id).all()
 342
 343     ranks = {}
 344     found_top_rank = False
 345     for row in raw_ranks:
 346         rank = Rank(rank=row.rank,
 347             max_rank=row.max_rank,
 348             percentile=100 - 100*float(row.rank)/row.max_rank,
 349             game_type_cd=row.game_type_cd)
 350
 351
 352         if not found_top_rank:
 353             ranks['overall'] = rank
 354             found_top_rank = True
 355         elif rank.percentile > ranks['overall'].percentile:
 356             ranks['overall'] = rank
 357
 358         ranks[row.game_type_cd] = rank
 359
 360     return ranks;
 361
 362
 363 def get_elos(player_id):
 364     """
 365     Provides a breakdown of the player's elos by game type.
 366
 367     Returns a dictionary of namedtuples with the following members:
 368         - player_id
 369         - game_type_cd
 370         - games
 371         - elo
 372
 373     The key to the dictionary is the game type code. There is also an
 374     "overall" game_type_cd which is the overall best rank.
 375     """
 376     raw_elos = DBSession.query(PlayerElo).filter_by(player_id=player_id).\
 377             order_by(PlayerElo.elo.desc()).all()
 378
 379     elos = {}
 380     found_max_elo = False
 381     for row in raw_elos:
 382         if not found_max_elo:
 383             elos['overall'] = row
 384             found_max_elo = True
 385
 386         elos[row.game_type_cd] = row
 387
 388     return elos
 389
 390
 391 def get_recent_games(player_id):
 392     """
 393     Provides a list of recent games.
 394
 395     Returns the full PlayerGameStat, Game, Server, Map
 396     objects for all recent games.
 397     """
 398     RecentGame = namedtuple('RecentGame', ['player_stats', 'game', 'server', 'map'])
 399
 400     # recent games table, all data
 401     recent_games = DBSession.query(PlayerGameStat, Game, Server, Map).\
 402             filter(PlayerGameStat.player_id == player_id).\
 403             filter(PlayerGameStat.game_id == Game.game_id).\
 404             filter(Game.server_id == Server.server_id).\
 405             filter(Game.map_id == Map.map_id).\
 406             order_by(Game.game_id.desc())[0:10]
 407
 408     return [
 409         RecentGame(player_stats=row.PlayerGameStat,
 410             game=row.Game,
 411             server=row.Server,
 412             map=row.Map)
 413         for row in recent_games ]
 414
 415
 416 def get_recent_weapons(player_id):
 417     """
 418     Returns the weapons that have been used in the past 90 days
 419     and also used in 5 games or more.
 420     """
 421     cutoff = datetime.datetime.utcnow() - datetime.timedelta(days=90)
 422     recent_weapons = []
 423     for weapon in DBSession.query(PlayerWeaponStat.weapon_cd, func.count()).\
 424             filter(PlayerWeaponStat.player_id == player_id).\
 425             filter(PlayerWeaponStat.create_dt > cutoff).\
 426             group_by(PlayerWeaponStat.weapon_cd).\
 427             having(func.count() > 4).\
 428             all():
 429                 recent_weapons.append(weapon[0])
 430
 431     return recent_weapons
 432
 433
 434 def get_accuracy_stats(player_id, weapon_cd, games):
 435     """
 436     Provides accuracy for weapon_cd by player_id for the past N games.
 437     """
 438     # Reaching back 90 days should give us an accurate enough average
 439     # We then multiply this out for the number of data points (games) to
 440     # create parameters for a flot graph
 441     try:
 442         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.hit),
 443                 func.sum(PlayerWeaponStat.fired)).\
 444                 filter(PlayerWeaponStat.player_id == player_id).\
 445                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 446                 one()
 447
 448         avg = round(float(raw_avg[0])/raw_avg[1]*100, 2)
 449
 450         # Determine the raw accuracy (hit, fired) numbers for $games games
 451         # This is then enumerated to create parameters for a flot graph
 452         raw_accs = DBSession.query(PlayerWeaponStat.game_id,
 453             PlayerWeaponStat.hit, PlayerWeaponStat.fired).\
 454                 filter(PlayerWeaponStat.player_id == player_id).\
 455                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 456                 order_by(PlayerWeaponStat.game_id.desc()).\
 457                 limit(games).\
 458                 all()
 459
 460         # they come out in opposite order, so flip them in the right direction
 461         raw_accs.reverse()
 462
 463         accs = []
 464         for i in range(len(raw_accs)):
 465             accs.append((raw_accs[i][0], round(float(raw_accs[i][1])/raw_accs[i][2]*100, 2)))
 466     except:
 467         accs = []
 468         avg = 0.0
 469
 470     return (avg, accs)
 471
 472
 473 def get_damage_stats(player_id, weapon_cd, games):
 474     """
 475     Provides damage info for weapon_cd by player_id for the past N games.
 476     """
 477     try:
 478         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.actual),
 479                 func.sum(PlayerWeaponStat.hit)).\
 480                 filter(PlayerWeaponStat.player_id == player_id).\
 481                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 482                 one()
 483
 484         avg = round(float(raw_avg[0])/raw_avg[1], 2)
 485
 486         # Determine the damage efficiency (hit, fired) numbers for $games games
 487         # This is then enumerated to create parameters for a flot graph
 488         raw_dmgs = DBSession.query(PlayerWeaponStat.game_id,
 489             PlayerWeaponStat.actual, PlayerWeaponStat.hit).\
 490                 filter(PlayerWeaponStat.player_id == player_id).\
 491                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 492                 order_by(PlayerWeaponStat.game_id.desc()).\
 493                 limit(games).\
 494                 all()
 495
 496         # they come out in opposite order, so flip them in the right direction
 497         raw_dmgs.reverse()
 498
 499         dmgs = []
 500         for i in range(len(raw_dmgs)):
 501             # try to derive, unless we've hit nothing then set to 0!
 502             try:
 503                 dmg = round(float(raw_dmgs[i][1])/raw_dmgs[i][2], 2)
 504             except:
 505                 dmg = 0.0
 506
 507             dmgs.append((raw_dmgs[i][0], dmg))
 508     except Exception as e:
 509         dmgs = []
 510         avg = 0.0
 511
 512     return (avg, dmgs)
 513
 514
 515 def player_info_data(request):
 516     player_id = int(request.matchdict['id'])
 517     if player_id <= 2:
 518         player_id = -1;
 519
 520     try:
 521         player = DBSession.query(Player).filter_by(player_id=player_id).\
 522                 filter(Player.active_ind == True).one()
 523
 524         games_played   = get_games_played(player_id)
 525         overall_stats  = get_overall_stats(player_id)
 526         fav_maps       = get_fav_maps(player_id)
 527         elos           = get_elos(player_id)
 528         ranks          = get_ranks(player_id)
 529         recent_games   = get_recent_games(player_id)
 530         recent_weapons = get_recent_weapons(player_id)
 531
 532     except Exception as e:
 533         player         = None
 534         games_played   = None
 535         overall_stats  = None
 536         fav_maps       = None
 537         elos           = None
 538         ranks          = None
 539         recent_games   = None
 540         recent_weapons = []
 541
 542     return {'player':player,
 543             'games_played':games_played,
 544             'overall_stats':overall_stats,
 545             'fav_maps':fav_maps,
 546             'elos':elos,
 547             'ranks':ranks,
 548             'recent_games':recent_games,
 549             'recent_weapons':recent_weapons
 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     if request.params.has_key('page'):
 614         current_page = request.params['page']
 615     else:
 616         current_page = 1
 617
 618     try:
 619         games_q = DBSession.query(Game, Server, Map).\
 620             filter(PlayerGameStat.game_id == Game.game_id).\
 621             filter(PlayerGameStat.player_id == player_id).\
 622             filter(Game.server_id == Server.server_id).\
 623             filter(Game.map_id == Map.map_id).\
 624             order_by(Game.game_id.desc())
 625
 626         games = Page(games_q, current_page, items_per_page=10, url=page_url)
 627
 628         pgstats = {}
 629         for (game, server, map) in games:
 630             pgstats[game.game_id] = DBSession.query(PlayerGameStat).\
 631                     filter(PlayerGameStat.game_id == game.game_id).\
 632                     order_by(PlayerGameStat.rank).\
 633                     order_by(PlayerGameStat.score).all()
 634
 635     except Exception as e:
 636         player = None
 637         games = None
 638
 639     return {'player_id':player_id,
 640             'games':games,
 641             'pgstats':pgstats}
 642
 643
 644 def player_game_index(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.
 649     """
 650     return player_game_index_data(request)
 651
 652
 653 def player_game_index_json(request):
 654     """
 655     Provides an index of the games in which a particular
 656     player was involved. This is ordered by game_id, with
 657     the most recent game_ids first. Paginated. JSON.
 658     """
 659     return [{'status':'not implemented'}]
 660
 661
 662 def player_accuracy_data(request):
 663     player_id = request.matchdict['id']
 664     allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']
 665     weapon_cd = 'nex'
 666     games = 20
 667
 668     if request.params.has_key('weapon'):
 669         if request.params['weapon'] in allowed_weapons:
 670             weapon_cd = request.params['weapon']
 671
 672     if request.params.has_key('games'):
 673         try:
 674             games = request.params['games']
 675
 676             if games < 0:
 677                 games = 20
 678             if games > 50:
 679                 games = 50
 680         except:
 681             games = 20
 682
 683     (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)
 684
 685     # if we don't have enough data for the given weapon
 686     if len(accs) < games:
 687         games = len(accs)
 688
 689     return {
 690             'player_id':player_id,
 691             'player_url':request.route_url('player_info', id=player_id),
 692             'weapon':weapon_cd,
 693             'games':games,
 694             'avg':avg,
 695             'accs':accs
 696             }
 697
 698
 699 def player_accuracy(request):
 700     """
 701     Provides the accuracy for the given weapon. (JSON only)
 702     """
 703     return player_accuracy_data(request)
 704
 705
 706 def player_accuracy_json(request):
 707     """
 708     Provides a JSON response representing the accuracy for the given weapon.
 709
 710     Parameters:
 711        weapon = which weapon to display accuracy for. Valid values are 'nex',
 712                 'shotgun', 'uzi', and 'minstanex'.
 713        games = over how many games to display accuracy. Can be up to 50.
 714     """
 715     return player_accuracy_data(request)
 716
 717
 718 def player_damage_data(request):
 719     player_id = request.matchdict['id']
 720     allowed_weapons = ['grenadelauncher', 'electro', 'crylink', 'hagar',
 721             'rocketlauncher', 'laser']
 722     weapon_cd = 'rocketlauncher'
 723     games = 20
 724
 725     if request.params.has_key('weapon'):
 726         if request.params['weapon'] in allowed_weapons:
 727             weapon_cd = request.params['weapon']
 728
 729     if request.params.has_key('games'):
 730         try:
 731             games = request.params['games']
 732
 733             if games < 0:
 734                 games = 20
 735             if games > 50:
 736                 games = 50
 737         except:
 738             games = 20
 739
 740     (avg, dmgs) = get_damage_stats(player_id, weapon_cd, games)
 741
 742     # if we don't have enough data for the given weapon
 743     if len(dmgs) < games:
 744         games = len(dmgs)
 745
 746     return {
 747             'player_id':player_id,
 748             'player_url':request.route_url('player_info', id=player_id),
 749             'weapon':weapon_cd,
 750             'games':games,
 751             'avg':avg,
 752             'dmgs':dmgs
 753             }
 754
 755
 756 def player_damage_json(request):
 757     """
 758     Provides a JSON response representing the damage for the given weapon.
 759
 760     Parameters:
 761        weapon = which weapon to display damage for. Valid values are
 762          'grenadelauncher', 'electro', 'crylink', 'hagar', 'rocketlauncher',
 763          'laser'.
 764        games = over how many games to display damage. Can be up to 50.
 765     """
 766     return player_damage_data(request)