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