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 collections import namedtuple
   9 from pyramid.response import Response
  10 from pyramid.url import current_route_url
  11 from sqlalchemy import desc, distinct
  12 from webhelpers.paginate import Page, PageURL
  13 from xonstat.models import *
  14 from xonstat.util import page_url, to_json
  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=10, 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.rank = 1 THEN 1 "
  82                                  "ELSE 0 "
  83                                "END win, "
  84                                "CASE "
  85                                  "WHEN g.winner = pgs.team THEN 0 "
  86                                  "WHEN pgs.rank = 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         - total_playing_time (total amount of time played the game type)
 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', 'total_playing_time', 'total_pickups',
 145         'total_captures', 'cap_ratio', 'total_carrier_frags', 'game_type_cd'])
 146
 147     raw_stats = DBSession.query('game_type_cd', 'total_kills',
 148             'total_deaths', 'last_played', 'total_playing_time',
 149             'total_pickups', 'total_captures', 'total_carrier_frags').\
 150             from_statement(
 151                 "SELECT g.game_type_cd, "
 152                        "Sum(pgs.kills)         total_kills, "
 153                        "Sum(pgs.deaths)        total_deaths, "
 154                        "Max(pgs.create_dt)     last_played, "
 155                        "Sum(pgs.alivetime)     total_playing_time, "
 156                        "Sum(pgs.pickups)       total_pickups, "
 157                        "Sum(pgs.captures)      total_captures, "
 158                        "Sum(pgs.carrier_frags) total_carrier_frags "
 159                 "FROM   games g, "
 160                        "player_game_stats pgs "
 161                 "WHERE  g.game_id = pgs.game_id "
 162                   "AND  pgs.player_id = :player_id "
 163                 "GROUP  BY g.game_type_cd "
 164             ).params(player_id=player_id).all()
 165
 166     # to be indexed by game_type_cd
 167     overall_stats = {}
 168
 169     # sums for the "overall" game type (which is fake)
 170     overall_kills = 0
 171     overall_deaths = 0
 172     overall_last_played = None
 173     overall_playing_time = datetime.timedelta(seconds=0)
 174     overall_carrier_frags = 0
 175
 176     for row in raw_stats:
 177         # running totals or mins
 178         overall_kills += row.total_kills or 0
 179         overall_deaths += row.total_deaths or 0
 180
 181         if overall_last_played is None or row.last_played > overall_last_played:
 182             overall_last_played = row.last_played
 183
 184         overall_playing_time += row.total_playing_time
 185
 186         # individual gametype ratio calculations
 187         try:
 188             k_d_ratio = float(row.total_kills)/row.total_deaths
 189         except:
 190             k_d_ratio = None
 191
 192         try:
 193             cap_ratio = float(row.total_pickups)/row.total_captures
 194         except:
 195             cap_ratio = None
 196
 197         overall_carrier_frags += row.total_carrier_frags or 0
 198
 199         # everything else is untouched or "raw"
 200         os = OverallStats(total_kills=row.total_kills,
 201                 total_deaths=row.total_deaths,
 202                 k_d_ratio=k_d_ratio,
 203                 last_played=row.last_played,
 204                 total_playing_time=row.total_playing_time,
 205                 total_pickups=row.total_pickups,
 206                 total_captures=row.total_captures,
 207                 cap_ratio=cap_ratio,
 208                 total_carrier_frags=row.total_carrier_frags,
 209                 game_type_cd=row.game_type_cd)
 210
 211         overall_stats[row.game_type_cd] = os
 212
 213     # and lastly, the overall stuff
 214     try:
 215         overall_k_d_ratio = float(overall_kills)/overall_deaths
 216     except:
 217         overall_k_d_ratio = None
 218
 219     os = OverallStats(total_kills=overall_kills,
 220             total_deaths=overall_deaths,
 221             k_d_ratio=overall_k_d_ratio,
 222             last_played=overall_last_played,
 223             total_playing_time=overall_playing_time,
 224             total_pickups=None,
 225             total_captures=None,
 226             cap_ratio=None,
 227             total_carrier_frags=overall_carrier_frags,
 228             game_type_cd='overall')
 229
 230     overall_stats['overall'] = os
 231
 232     return overall_stats
 233
 234
 235 def get_fav_maps(player_id, game_type_cd=None):
 236     """
 237     Provides a breakdown of favorite maps by gametype.
 238
 239     Returns a dictionary of namedtuples with the following members:
 240         - game_type_cd
 241         - map_name (map name)
 242         - map_id
 243         - times_played
 244
 245     The favorite map is defined as the map you've played the most
 246     for the given game_type_cd.
 247
 248     The key to the dictionary is the game type code. There is also an
 249     "overall" game_type_cd which is the overall favorite map. This is
 250     defined as the favorite map of the game type you've played the
 251     most. The input parameter game_type_cd is for this.
 252     """
 253     FavMap = namedtuple('FavMap', ['map_name', 'map_id', 'times_played', 'game_type_cd'])
 254
 255     raw_favs = DBSession.query('game_type_cd', 'map_name',
 256             'map_id', 'times_played').\
 257             from_statement(
 258                 "SELECT game_type_cd, "
 259                        "name map_name, "
 260                        "map_id, "
 261                        "times_played "
 262                 "FROM   (SELECT g.game_type_cd, "
 263                                "m.name, "
 264                                "m.map_id, "
 265                                "Count(*) times_played, "
 266                                "Row_number() "
 267                                  "OVER ( "
 268                                    "partition BY g.game_type_cd "
 269                                    "ORDER BY Count(*) DESC, m.map_id ASC) rank "
 270                         "FROM   games g, "
 271                                "player_game_stats pgs, "
 272                                "maps m "
 273                         "WHERE  g.game_id = pgs.game_id "
 274                                "AND g.map_id = m.map_id "
 275                                "AND pgs.player_id = :player_id "
 276                         "GROUP  BY g.game_type_cd, "
 277                                   "m.map_id, "
 278                                   "m.name) most_played "
 279                 "WHERE  rank = 1 "
 280                 "ORDER BY  times_played desc "
 281             ).params(player_id=player_id).all()
 282
 283     fav_maps = {}
 284     overall_fav = None
 285     for row in raw_favs:
 286         fv = FavMap(map_name=row.map_name,
 287             map_id=row.map_id,
 288             times_played=row.times_played,
 289             game_type_cd=row.game_type_cd)
 290
 291         # if we aren't given a favorite game_type_cd
 292         # then the overall favorite is the one we've
 293         # played the most
 294         if overall_fav is None:
 295             fav_maps['overall'] = fv
 296             overall_fav = fv.game_type_cd
 297
 298         # otherwise it is the favorite map from the
 299         # favorite game_type_cd (provided as a param)
 300         # and we'll overwrite the first dict entry
 301         if game_type_cd == fv.game_type_cd:
 302             fav_maps['overall'] = fv
 303
 304         fav_maps[row.game_type_cd] = fv
 305
 306     return fav_maps
 307
 308
 309 def get_ranks(player_id):
 310     """
 311     Provides a breakdown of the player's ranks by game type.
 312
 313     Returns a dictionary of namedtuples with the following members:
 314         - game_type_cd
 315         - rank
 316         - max_rank
 317
 318     The key to the dictionary is the game type code. There is also an
 319     "overall" game_type_cd which is the overall best rank.
 320     """
 321     Rank = namedtuple('Rank', ['rank', 'max_rank', 'game_type_cd'])
 322
 323     raw_ranks = DBSession.query("game_type_cd", "rank", "max_rank").\
 324             from_statement(
 325                 "select pr.game_type_cd, pr.rank, overall.max_rank "
 326                 "from player_ranks pr,  "
 327                    "(select game_type_cd, max(rank) max_rank "
 328                     "from player_ranks  "
 329                     "group by game_type_cd) overall "
 330                 "where pr.game_type_cd = overall.game_type_cd  "
 331                 "and player_id = :player_id "
 332                 "order by rank").\
 333             params(player_id=player_id).all()
 334
 335     ranks = {}
 336     found_top_rank = False
 337     for row in raw_ranks:
 338         rank = Rank(rank=row.rank,
 339             max_rank=row.max_rank,
 340             game_type_cd=row.game_type_cd)
 341
 342         if not found_top_rank:
 343             ranks['overall'] = rank
 344             found_top_rank = True
 345
 346         ranks[row.game_type_cd] = rank
 347
 348     return ranks;
 349
 350
 351 def get_elos(player_id):
 352     """
 353     Provides a breakdown of the player's elos by game type.
 354
 355     Returns a dictionary of namedtuples with the following members:
 356         - player_id
 357         - game_type_cd
 358         - games
 359         - elo
 360
 361     The key to the dictionary is the game type code. There is also an
 362     "overall" game_type_cd which is the overall best rank.
 363     """
 364     raw_elos = DBSession.query(PlayerElo).filter_by(player_id=player_id).\
 365             order_by(PlayerElo.elo.desc()).all()
 366
 367     elos = {}
 368     found_max_elo = False
 369     for row in raw_elos:
 370         if not found_max_elo:
 371             elos['overall'] = row
 372             found_max_elo = True
 373
 374         elos[row.game_type_cd] = row
 375
 376     return elos
 377
 378
 379 def get_recent_games(player_id):
 380     """
 381     Provides a list of recent games.
 382
 383     Returns the full PlayerGameStat, Game, Server, Map
 384     objects for all recent games.
 385     """
 386     RecentGame = namedtuple('RecentGame', ['player_stats', 'game', 'server', 'map'])
 387
 388     # recent games table, all data
 389     recent_games = DBSession.query(PlayerGameStat, Game, Server, Map).\
 390             filter(PlayerGameStat.player_id == player_id).\
 391             filter(PlayerGameStat.game_id == Game.game_id).\
 392             filter(Game.server_id == Server.server_id).\
 393             filter(Game.map_id == Map.map_id).\
 394             order_by(Game.game_id.desc())[0:10]
 395
 396     return [
 397         RecentGame(player_stats=row.PlayerGameStat,
 398             game=row.Game,
 399             server=row.Server,
 400             map=row.Map)
 401         for row in recent_games ]
 402
 403
 404 def get_recent_weapons(player_id):
 405     """
 406     Returns the weapons that have been used in the past 90 days
 407     and also used in 5 games or more.
 408     """
 409     cutoff = datetime.datetime.utcnow() - datetime.timedelta(days=90)
 410     recent_weapons = []
 411     for weapon in DBSession.query(PlayerWeaponStat.weapon_cd, func.count()).\
 412             filter(PlayerWeaponStat.player_id == player_id).\
 413             filter(PlayerWeaponStat.create_dt > cutoff).\
 414             group_by(PlayerWeaponStat.weapon_cd).\
 415             having(func.count() > 4).\
 416             all():
 417                 recent_weapons.append(weapon[0])
 418
 419     return recent_weapons
 420
 421
 422 def get_accuracy_stats(player_id, weapon_cd, games):
 423     """
 424     Provides accuracy for weapon_cd by player_id for the past N games.
 425     """
 426     # Reaching back 90 days should give us an accurate enough average
 427     # We then multiply this out for the number of data points (games) to
 428     # create parameters for a flot graph
 429     try:
 430         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.hit),
 431                 func.sum(PlayerWeaponStat.fired)).\
 432                 filter(PlayerWeaponStat.player_id == player_id).\
 433                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 434                 one()
 435
 436         avg = round(float(raw_avg[0])/raw_avg[1]*100, 2)
 437
 438         # Determine the raw accuracy (hit, fired) numbers for $games games
 439         # This is then enumerated to create parameters for a flot graph
 440         raw_accs = DBSession.query(PlayerWeaponStat.game_id,
 441             PlayerWeaponStat.hit, PlayerWeaponStat.fired).\
 442                 filter(PlayerWeaponStat.player_id == player_id).\
 443                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 444                 order_by(PlayerWeaponStat.game_id.desc()).\
 445                 limit(games).\
 446                 all()
 447
 448         # they come out in opposite order, so flip them in the right direction
 449         raw_accs.reverse()
 450
 451         accs = []
 452         for i in range(len(raw_accs)):
 453             accs.append((raw_accs[i][0], round(float(raw_accs[i][1])/raw_accs[i][2]*100, 2)))
 454     except:
 455         accs = []
 456         avg = 0.0
 457
 458     return (avg, accs)
 459
 460
 461 def get_damage_stats(player_id, weapon_cd, games):
 462     """
 463     Provides damage info for weapon_cd by player_id for the past N games.
 464     """
 465     try:
 466         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.actual),
 467                 func.sum(PlayerWeaponStat.hit)).\
 468                 filter(PlayerWeaponStat.player_id == player_id).\
 469                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 470                 one()
 471
 472         avg = round(float(raw_avg[0])/raw_avg[1], 2)
 473
 474         # Determine the damage efficiency (hit, fired) numbers for $games games
 475         # This is then enumerated to create parameters for a flot graph
 476         raw_dmgs = DBSession.query(PlayerWeaponStat.game_id,
 477             PlayerWeaponStat.actual, PlayerWeaponStat.hit).\
 478                 filter(PlayerWeaponStat.player_id == player_id).\
 479                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 480                 order_by(PlayerWeaponStat.game_id.desc()).\
 481                 limit(games).\
 482                 all()
 483
 484         # they come out in opposite order, so flip them in the right direction
 485         raw_dmgs.reverse()
 486
 487         dmgs = []
 488         for i in range(len(raw_dmgs)):
 489             # try to derive, unless we've hit nothing then set to 0!
 490             try:
 491                 dmg = round(float(raw_dmgs[i][1])/raw_dmgs[i][2], 2)
 492             except:
 493                 dmg = 0.0
 494
 495             dmgs.append((raw_dmgs[i][0], dmg))
 496     except Exception as e:
 497         dmgs = []
 498         avg = 0.0
 499
 500     return (avg, dmgs)
 501
 502
 503 def player_info_data(request):
 504     player_id = int(request.matchdict['id'])
 505     if player_id <= 2:
 506         player_id = -1;
 507
 508     try:
 509         player = DBSession.query(Player).filter_by(player_id=player_id).\
 510                 filter(Player.active_ind == True).one()
 511
 512         games_played   = get_games_played(player_id)
 513         overall_stats  = get_overall_stats(player_id)
 514         fav_maps       = get_fav_maps(player_id)
 515         elos           = get_elos(player_id)
 516         ranks          = get_ranks(player_id)
 517         recent_games   = get_recent_games(player_id)
 518         recent_weapons = get_recent_weapons(player_id)
 519
 520     except Exception as e:
 521         player         = None
 522         games_played   = None
 523         overall_stats  = None
 524         fav_maps       = None
 525         elos           = None
 526         ranks          = None
 527         recent_games   = None
 528         recent_weapons = []
 529
 530     return {'player':player,
 531             'games_played':games_played,
 532             'overall_stats':overall_stats,
 533             'fav_maps':fav_maps,
 534             'elos':elos,
 535             'ranks':ranks,
 536             'recent_games':recent_games,
 537             'recent_weapons':recent_weapons
 538             }
 539
 540
 541 def player_info(request):
 542     """
 543     Provides detailed information on a specific player
 544     """
 545     return player_info_data(request)
 546
 547
 548 def player_info_json(request):
 549     """
 550     Provides detailed information on a specific player. JSON.
 551     """
 552
 553     # All player_info fields are converted into JSON-formattable dictionaries
 554     player_info = player_info_data(request)
 555
 556     player = player_info['player'].to_dict()
 557
 558     games_played = {}
 559     for game in player_info['games_played']:
 560         games_played[game.game_type_cd] = to_json(game)
 561
 562     overall_stats = {}
 563     for gt,stats in player_info['overall_stats'].items():
 564         overall_stats[gt] = to_json(stats)
 565
 566     elos = {}
 567     for gt,elo in player_info['elos'].items():
 568         elos[gt] = to_json(elo.to_dict())
 569
 570     ranks = {}
 571     for gt,rank in player_info['ranks'].items():
 572         ranks[gt] = to_json(rank)
 573
 574     fav_maps = {}
 575     for gt,mapinfo in player_info['fav_maps'].items():
 576         fav_maps[gt] = to_json(mapinfo)
 577
 578     recent_games = []
 579     for game in player_info['recent_games']:
 580         recent_games.append(to_json(game))
 581
 582     recent_weapons = player_info['recent_weapons']
 583
 584     return [{
 585         'player':           player,
 586         'games_played':     games_played,
 587         'overall_stats':    overall_stats,
 588         'fav_maps':         fav_maps,
 589         'elos':             elos,
 590         'ranks':            ranks,
 591         'recent_games':     recent_games,
 592         'recent_weapons':   recent_weapons,
 593     }]
 594     #return [{'status':'not implemented'}]
 595
 596
 597 def player_game_index_data(request):
 598     player_id = request.matchdict['player_id']
 599
 600     if request.params.has_key('page'):
 601         current_page = request.params['page']
 602     else:
 603         current_page = 1
 604
 605     try:
 606         games_q = DBSession.query(Game, Server, Map).\
 607             filter(PlayerGameStat.game_id == Game.game_id).\
 608             filter(PlayerGameStat.player_id == player_id).\
 609             filter(Game.server_id == Server.server_id).\
 610             filter(Game.map_id == Map.map_id).\
 611             order_by(Game.game_id.desc())
 612
 613         games = Page(games_q, current_page, items_per_page=10, url=page_url)
 614
 615         pgstats = {}
 616         for (game, server, map) in games:
 617             pgstats[game.game_id] = DBSession.query(PlayerGameStat).\
 618                     filter(PlayerGameStat.game_id == game.game_id).\
 619                     order_by(PlayerGameStat.rank).\
 620                     order_by(PlayerGameStat.score).all()
 621
 622     except Exception as e:
 623         player = None
 624         games = None
 625
 626     return {'player_id':player_id,
 627             'games':games,
 628             'pgstats':pgstats}
 629
 630
 631 def player_game_index(request):
 632     """
 633     Provides an index of the games in which a particular
 634     player was involved. This is ordered by game_id, with
 635     the most recent game_ids first. Paginated.
 636     """
 637     return player_game_index_data(request)
 638
 639
 640 def player_game_index_json(request):
 641     """
 642     Provides an index of the games in which a particular
 643     player was involved. This is ordered by game_id, with
 644     the most recent game_ids first. Paginated. JSON.
 645     """
 646     return [{'status':'not implemented'}]
 647
 648
 649 def player_accuracy_data(request):
 650     player_id = request.matchdict['id']
 651     allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']
 652     weapon_cd = 'nex'
 653     games = 20
 654
 655     if request.params.has_key('weapon'):
 656         if request.params['weapon'] in allowed_weapons:
 657             weapon_cd = request.params['weapon']
 658
 659     if request.params.has_key('games'):
 660         try:
 661             games = request.params['games']
 662
 663             if games < 0:
 664                 games = 20
 665             if games > 50:
 666                 games = 50
 667         except:
 668             games = 20
 669
 670     (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)
 671
 672     # if we don't have enough data for the given weapon
 673     if len(accs) < games:
 674         games = len(accs)
 675
 676     return {
 677             'player_id':player_id,
 678             'player_url':request.route_url('player_info', id=player_id),
 679             'weapon':weapon_cd,
 680             'games':games,
 681             'avg':avg,
 682             'accs':accs
 683             }
 684
 685
 686 def player_accuracy(request):
 687     """
 688     Provides the accuracy for the given weapon. (JSON only)
 689     """
 690     return player_accuracy_data(request)
 691
 692
 693 def player_accuracy_json(request):
 694     """
 695     Provides a JSON response representing the accuracy for the given weapon.
 696
 697     Parameters:
 698        weapon = which weapon to display accuracy for. Valid values are 'nex',
 699                 'shotgun', 'uzi', and 'minstanex'.
 700        games = over how many games to display accuracy. Can be up to 50.
 701     """
 702     return player_accuracy_data(request)
 703
 704
 705 def player_damage_data(request):
 706     player_id = request.matchdict['id']
 707     allowed_weapons = ['grenadelauncher', 'electro', 'crylink', 'hagar',
 708             'rocketlauncher', 'laser']
 709     weapon_cd = 'rocketlauncher'
 710     games = 20
 711
 712     if request.params.has_key('weapon'):
 713         if request.params['weapon'] in allowed_weapons:
 714             weapon_cd = request.params['weapon']
 715
 716     if request.params.has_key('games'):
 717         try:
 718             games = request.params['games']
 719
 720             if games < 0:
 721                 games = 20
 722             if games > 50:
 723                 games = 50
 724         except:
 725             games = 20
 726
 727     (avg, dmgs) = get_damage_stats(player_id, weapon_cd, games)
 728
 729     # if we don't have enough data for the given weapon
 730     if len(dmgs) < games:
 731         games = len(dmgs)
 732
 733     return {
 734             'player_id':player_id,
 735             'player_url':request.route_url('player_info', id=player_id),
 736             'weapon':weapon_cd,
 737             'games':games,
 738             'avg':avg,
 739             'dmgs':dmgs
 740             }
 741
 742
 743 def player_damage_json(request):
 744     """
 745     Provides a JSON response representing the damage for the given weapon.
 746
 747     Parameters:
 748        weapon = which weapon to display damage for. Valid values are
 749          'grenadelauncher', 'electro', 'crylink', 'hagar', 'rocketlauncher',
 750          'laser'.
 751        games = over how many games to display damage. Can be up to 50.
 752     """
 753     return player_damage_data(request)