xonstat/views/player.py

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