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, html_colors
  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     raw_overall = None
 188
 189     for row in raw_stats:
 190         # individual gametype ratio calculations
 191         try:
 192             k_d_ratio = float(row.total_kills)/row.total_deaths
 193         except:
 194             k_d_ratio = None
 195
 196         try:
 197             cap_ratio = float(row.total_captures)/row.total_pickups
 198         except:
 199             cap_ratio = None
 200
 201         # everything else is untouched or "raw"
 202         os = OverallStats(total_kills=row.total_kills,
 203                 total_deaths=row.total_deaths,
 204                 k_d_ratio=k_d_ratio,
 205                 last_played=row.last_played,
 206                 last_played_epoch=timegm(row.last_played.timetuple()),
 207                 last_played_fuzzy=pretty_date(row.last_played),
 208                 total_playing_time=row.total_playing_time,
 209                 total_playing_time_secs=int(datetime_seconds(row.total_playing_time)),
 210                 total_pickups=row.total_pickups,
 211                 total_captures=row.total_captures,
 212                 cap_ratio=cap_ratio,
 213                 total_carrier_frags=row.total_carrier_frags,
 214                 game_type_cd=row.game_type_cd)
 215
 216         overall_stats[row.game_type_cd] = os
 217
 218     # We have to edit "overall" stats to exclude deaths in CTS.
 219     # Although we still want to record deaths, they shouldn't
 220     # count towards the overall K:D ratio.
 221     if 'cts' in overall_stats:
 222         os = overall_stats['overall']
 223
 224         try:
 225             k_d_ratio = float(os.total_kills)/(os.total_deaths - overall_stats['cts'].total_deaths)
 226         except:
 227             k_d_ratio = None
 228
 229         non_cts_deaths = os.total_deaths - overall_stats['cts'].total_deaths
 230
 231
 232         overall_stats['overall'] = OverallStats(
 233                 total_kills             = os.total_kills,
 234                 total_deaths            = non_cts_deaths,
 235                 k_d_ratio               = k_d_ratio,
 236                 last_played             = os.last_played,
 237                 last_played_epoch       = os.last_played_epoch,
 238                 last_played_fuzzy       = os.last_played_fuzzy,
 239                 total_playing_time      = os.total_playing_time,
 240                 total_playing_time_secs = os.total_playing_time_secs,
 241                 total_pickups           = os.total_pickups,
 242                 total_captures          = os.total_captures,
 243                 cap_ratio               = os.cap_ratio,
 244                 total_carrier_frags     = os.total_carrier_frags,
 245                 game_type_cd            = os.game_type_cd)
 246
 247     return overall_stats
 248
 249
 250 def get_fav_maps(player_id, game_type_cd=None):
 251     """
 252     Provides a breakdown of favorite maps by gametype.
 253
 254     Returns a dictionary of namedtuples with the following members:
 255         - game_type_cd
 256         - map_name (map name)
 257         - map_id
 258         - times_played
 259
 260     The favorite map is defined as the map you've played the most
 261     for the given game_type_cd.
 262
 263     The key to the dictionary is the game type code. There is also an
 264     "overall" game_type_cd which is the overall favorite map. This is
 265     defined as the favorite map of the game type you've played the
 266     most. The input parameter game_type_cd is for this.
 267     """
 268     FavMap = namedtuple('FavMap', ['map_name', 'map_id', 'times_played', 'game_type_cd'])
 269
 270     raw_favs = DBSession.query('game_type_cd', 'map_name',
 271             'map_id', 'times_played').\
 272             from_statement(
 273                 "SELECT game_type_cd, "
 274                        "name map_name, "
 275                        "map_id, "
 276                        "times_played "
 277                 "FROM   (SELECT g.game_type_cd, "
 278                                "m.name, "
 279                                "m.map_id, "
 280                                "Count(*) times_played, "
 281                                "Row_number() "
 282                                  "OVER ( "
 283                                    "partition BY g.game_type_cd "
 284                                    "ORDER BY Count(*) DESC, m.map_id ASC) rank "
 285                         "FROM   games g, "
 286                                "player_game_stats pgs, "
 287                                "maps m "
 288                         "WHERE  g.game_id = pgs.game_id "
 289                                "AND g.map_id = m.map_id "
 290                                "AND pgs.player_id = :player_id "
 291                         "GROUP  BY g.game_type_cd, "
 292                                   "m.map_id, "
 293                                   "m.name) most_played "
 294                 "WHERE  rank = 1 "
 295                 "ORDER BY  times_played desc "
 296             ).params(player_id=player_id).all()
 297
 298     fav_maps = {}
 299     overall_fav = None
 300     for row in raw_favs:
 301         fv = FavMap(map_name=row.map_name,
 302             map_id=row.map_id,
 303             times_played=row.times_played,
 304             game_type_cd=row.game_type_cd)
 305
 306         # if we aren't given a favorite game_type_cd
 307         # then the overall favorite is the one we've
 308         # played the most
 309         if overall_fav is None:
 310             fav_maps['overall'] = fv
 311             overall_fav = fv.game_type_cd
 312
 313         # otherwise it is the favorite map from the
 314         # favorite game_type_cd (provided as a param)
 315         # and we'll overwrite the first dict entry
 316         if game_type_cd == fv.game_type_cd:
 317             fav_maps['overall'] = fv
 318
 319         fav_maps[row.game_type_cd] = fv
 320
 321     return fav_maps
 322
 323
 324 def get_ranks(player_id):
 325     """
 326     Provides a breakdown of the player's ranks by game type.
 327
 328     Returns a dictionary of namedtuples with the following members:
 329         - game_type_cd
 330         - rank
 331         - max_rank
 332
 333     The key to the dictionary is the game type code. There is also an
 334     "overall" game_type_cd which is the overall best rank.
 335     """
 336     Rank = namedtuple('Rank', ['rank', 'max_rank', 'percentile', 'game_type_cd'])
 337
 338     raw_ranks = DBSession.query("game_type_cd", "rank", "max_rank").\
 339             from_statement(
 340                 "select pr.game_type_cd, pr.rank, overall.max_rank "
 341                 "from player_ranks pr,  "
 342                    "(select game_type_cd, max(rank) max_rank "
 343                     "from player_ranks  "
 344                     "group by game_type_cd) overall "
 345                 "where pr.game_type_cd = overall.game_type_cd  "
 346                 "and player_id = :player_id "
 347                 "order by rank").\
 348             params(player_id=player_id).all()
 349
 350     ranks = {}
 351     found_top_rank = False
 352     for row in raw_ranks:
 353         rank = Rank(rank=row.rank,
 354             max_rank=row.max_rank,
 355             percentile=100 - 100*float(row.rank)/row.max_rank,
 356             game_type_cd=row.game_type_cd)
 357
 358
 359         if not found_top_rank:
 360             ranks['overall'] = rank
 361             found_top_rank = True
 362         elif rank.percentile > ranks['overall'].percentile:
 363             ranks['overall'] = rank
 364
 365         ranks[row.game_type_cd] = rank
 366
 367     return ranks;
 368
 369
 370 def get_elos(player_id):
 371     """
 372     Provides a breakdown of the player's elos by game type.
 373
 374     Returns a dictionary of namedtuples with the following members:
 375         - player_id
 376         - game_type_cd
 377         - games
 378         - elo
 379
 380     The key to the dictionary is the game type code. There is also an
 381     "overall" game_type_cd which is the overall best rank.
 382     """
 383     raw_elos = DBSession.query(PlayerElo).filter_by(player_id=player_id).\
 384             order_by(PlayerElo.elo.desc()).all()
 385
 386     elos = {}
 387     found_max_elo = False
 388     for row in raw_elos:
 389         if not found_max_elo:
 390             elos['overall'] = row
 391             found_max_elo = True
 392
 393         elos[row.game_type_cd] = row
 394
 395     return elos
 396
 397
 398 def get_recent_games(player_id):
 399     """
 400     Provides a list of recent games for a player. Uses the recent_games_q helper.
 401     """
 402     # recent games played in descending order
 403     rgs = recent_games_q(player_id=player_id).limit(10).all()
 404     recent_games = [RecentGame(row) for row in rgs]
 405
 406     return recent_games
 407
 408
 409 def get_recent_weapons(player_id):
 410     """
 411     Returns the weapons that have been used in the past 90 days
 412     and also used in 5 games or more.
 413     """
 414     cutoff = datetime.datetime.utcnow() - datetime.timedelta(days=90)
 415     recent_weapons = []
 416     for weapon in DBSession.query(PlayerWeaponStat.weapon_cd, func.count()).\
 417             filter(PlayerWeaponStat.player_id == player_id).\
 418             filter(PlayerWeaponStat.create_dt > cutoff).\
 419             group_by(PlayerWeaponStat.weapon_cd).\
 420             having(func.count() > 4).\
 421             all():
 422                 recent_weapons.append(weapon[0])
 423
 424     return recent_weapons
 425
 426
 427 def get_accuracy_stats(player_id, weapon_cd, games):
 428     """
 429     Provides accuracy for weapon_cd by player_id for the past N games.
 430     """
 431     # Reaching back 90 days should give us an accurate enough average
 432     # We then multiply this out for the number of data points (games) to
 433     # create parameters for a flot graph
 434     try:
 435         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.hit),
 436                 func.sum(PlayerWeaponStat.fired)).\
 437                 filter(PlayerWeaponStat.player_id == player_id).\
 438                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 439                 one()
 440
 441         avg = round(float(raw_avg[0])/raw_avg[1]*100, 2)
 442
 443         # Determine the raw accuracy (hit, fired) numbers for $games games
 444         # This is then enumerated to create parameters for a flot graph
 445         raw_accs = DBSession.query(PlayerWeaponStat.game_id,
 446             PlayerWeaponStat.hit, PlayerWeaponStat.fired).\
 447                 filter(PlayerWeaponStat.player_id == player_id).\
 448                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 449                 order_by(PlayerWeaponStat.game_id.desc()).\
 450                 limit(games).\
 451                 all()
 452
 453         # they come out in opposite order, so flip them in the right direction
 454         raw_accs.reverse()
 455
 456         accs = []
 457         for i in range(len(raw_accs)):
 458             accs.append((raw_accs[i][0], round(float(raw_accs[i][1])/raw_accs[i][2]*100, 2)))
 459     except:
 460         accs = []
 461         avg = 0.0
 462
 463     return (avg, accs)
 464
 465
 466 def get_damage_stats(player_id, weapon_cd, games):
 467     """
 468     Provides damage info for weapon_cd by player_id for the past N games.
 469     """
 470     try:
 471         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.actual),
 472                 func.sum(PlayerWeaponStat.hit)).\
 473                 filter(PlayerWeaponStat.player_id == player_id).\
 474                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 475                 one()
 476
 477         avg = round(float(raw_avg[0])/raw_avg[1], 2)
 478
 479         # Determine the damage efficiency (hit, fired) numbers for $games games
 480         # This is then enumerated to create parameters for a flot graph
 481         raw_dmgs = DBSession.query(PlayerWeaponStat.game_id,
 482             PlayerWeaponStat.actual, PlayerWeaponStat.hit).\
 483                 filter(PlayerWeaponStat.player_id == player_id).\
 484                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
 485                 order_by(PlayerWeaponStat.game_id.desc()).\
 486                 limit(games).\
 487                 all()
 488
 489         # they come out in opposite order, so flip them in the right direction
 490         raw_dmgs.reverse()
 491
 492         dmgs = []
 493         for i in range(len(raw_dmgs)):
 494             # try to derive, unless we've hit nothing then set to 0!
 495             try:
 496                 dmg = round(float(raw_dmgs[i][1])/raw_dmgs[i][2], 2)
 497             except:
 498                 dmg = 0.0
 499
 500             dmgs.append((raw_dmgs[i][0], dmg))
 501     except Exception as e:
 502         dmgs = []
 503         avg = 0.0
 504
 505     return (avg, dmgs)
 506
 507
 508 def player_info_data(request):
 509     player_id = int(request.matchdict['id'])
 510     if player_id <= 2:
 511         player_id = -1;
 512
 513     try:
 514         player = DBSession.query(Player).filter_by(player_id=player_id).\
 515                 filter(Player.active_ind == True).one()
 516
 517         games_played   = get_games_played(player_id)
 518         overall_stats  = get_overall_stats(player_id)
 519         fav_maps       = get_fav_maps(player_id)
 520         elos           = get_elos(player_id)
 521         ranks          = get_ranks(player_id)
 522         recent_games   = get_recent_games(player_id)
 523         recent_weapons = get_recent_weapons(player_id)
 524
 525     except Exception as e:
 526         player         = None
 527         games_played   = None
 528         overall_stats  = None
 529         fav_maps       = None
 530         elos           = None
 531         ranks          = None
 532         recent_games   = None
 533         recent_weapons = []
 534
 535     return {'player':player,
 536             'games_played':games_played,
 537             'overall_stats':overall_stats,
 538             'fav_maps':fav_maps,
 539             'elos':elos,
 540             'ranks':ranks,
 541             'recent_games':recent_games,
 542             'recent_weapons':recent_weapons
 543             }
 544
 545
 546 def player_info(request):
 547     """
 548     Provides detailed information on a specific player
 549     """
 550     return player_info_data(request)
 551
 552
 553 def player_info_json(request):
 554     """
 555     Provides detailed information on a specific player. JSON.
 556     """
 557
 558     # All player_info fields are converted into JSON-formattable dictionaries
 559     player_info = player_info_data(request)
 560
 561     player = player_info['player'].to_dict()
 562
 563     games_played = {}
 564     for game in player_info['games_played']:
 565         games_played[game.game_type_cd] = to_json(game)
 566
 567     overall_stats = {}
 568     for gt,stats in player_info['overall_stats'].items():
 569         overall_stats[gt] = to_json(stats)
 570
 571     elos = {}
 572     for gt,elo in player_info['elos'].items():
 573         elos[gt] = to_json(elo.to_dict())
 574
 575     ranks = {}
 576     for gt,rank in player_info['ranks'].items():
 577         ranks[gt] = to_json(rank)
 578
 579     fav_maps = {}
 580     for gt,mapinfo in player_info['fav_maps'].items():
 581         fav_maps[gt] = to_json(mapinfo)
 582
 583     recent_games = []
 584     for game in player_info['recent_games']:
 585         recent_games.append(to_json(game))
 586
 587     #recent_weapons = player_info['recent_weapons']
 588
 589     return [{
 590         'player':           player,
 591         'games_played':     games_played,
 592         'overall_stats':    overall_stats,
 593         'fav_maps':         fav_maps,
 594         'elos':             elos,
 595         'ranks':            ranks,
 596         'recent_games':     recent_games,
 597     #    'recent_weapons':   recent_weapons,
 598         'recent_weapons':   ['not implemented'],
 599     }]
 600     #return [{'status':'not implemented'}]
 601
 602
 603 def player_game_index_data(request):
 604     player_id = request.matchdict['player_id']
 605
 606     if request.params.has_key('page'):
 607         current_page = request.params['page']
 608     else:
 609         current_page = 1
 610
 611     try:
 612         player = DBSession.query(Player).filter_by(player_id=player_id).\
 613                 filter(Player.active_ind == True).one()
 614
 615         rgs_q = recent_games_q(player_id=player.player_id)
 616
 617         games = Page(rgs_q, current_page, items_per_page=10, url=page_url)
 618
 619         # replace the items in the canned pagination class with more rich ones
 620         games.items = [RecentGame(row) for row in games.items]
 621
 622     except Exception as e:
 623         player = None
 624         games = None
 625
 626     return {
 627             'player_id':player.player_id,
 628             'player':player,
 629             'games':games,
 630            }
 631
 632
 633 def player_game_index(request):
 634     """
 635     Provides an index of the games in which a particular
 636     player was involved. This is ordered by game_id, with
 637     the most recent game_ids first. Paginated.
 638     """
 639     return player_game_index_data(request)
 640
 641
 642 def player_game_index_json(request):
 643     """
 644     Provides an index of the games in which a particular
 645     player was involved. This is ordered by game_id, with
 646     the most recent game_ids first. Paginated. JSON.
 647     """
 648     return [{'status':'not implemented'}]
 649
 650
 651 def player_accuracy_data(request):
 652     player_id = request.matchdict['id']
 653     allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']
 654     weapon_cd = 'nex'
 655     games = 20
 656
 657     if request.params.has_key('weapon'):
 658         if request.params['weapon'] in allowed_weapons:
 659             weapon_cd = request.params['weapon']
 660
 661     if request.params.has_key('games'):
 662         try:
 663             games = request.params['games']
 664
 665             if games < 0:
 666                 games = 20
 667             if games > 50:
 668                 games = 50
 669         except:
 670             games = 20
 671
 672     (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)
 673
 674     # if we don't have enough data for the given weapon
 675     if len(accs) < games:
 676         games = len(accs)
 677
 678     return {
 679             'player_id':player_id,
 680             'player_url':request.route_url('player_info', id=player_id),
 681             'weapon':weapon_cd,
 682             'games':games,
 683             'avg':avg,
 684             'accs':accs
 685             }
 686
 687
 688 def player_accuracy(request):
 689     """
 690     Provides the accuracy for the given weapon. (JSON only)
 691     """
 692     return player_accuracy_data(request)
 693
 694
 695 def player_accuracy_json(request):
 696     """
 697     Provides a JSON response representing the accuracy for the given weapon.
 698
 699     Parameters:
 700        weapon = which weapon to display accuracy for. Valid values are 'nex',
 701                 'shotgun', 'uzi', and 'minstanex'.
 702        games = over how many games to display accuracy. Can be up to 50.
 703     """
 704     return player_accuracy_data(request)
 705
 706
 707 def player_damage_data(request):
 708     player_id = request.matchdict['id']
 709     allowed_weapons = ['grenadelauncher', 'electro', 'crylink', 'hagar',
 710             'rocketlauncher', 'laser']
 711     weapon_cd = 'rocketlauncher'
 712     games = 20
 713
 714     if request.params.has_key('weapon'):
 715         if request.params['weapon'] in allowed_weapons:
 716             weapon_cd = request.params['weapon']
 717
 718     if request.params.has_key('games'):
 719         try:
 720             games = request.params['games']
 721
 722             if games < 0:
 723                 games = 20
 724             if games > 50:
 725                 games = 50
 726         except:
 727             games = 20
 728
 729     (avg, dmgs) = get_damage_stats(player_id, weapon_cd, games)
 730
 731     # if we don't have enough data for the given weapon
 732     if len(dmgs) < games:
 733         games = len(dmgs)
 734
 735     return {
 736             'player_id':player_id,
 737             'player_url':request.route_url('player_info', id=player_id),
 738             'weapon':weapon_cd,
 739             'games':games,
 740             'avg':avg,
 741             'dmgs':dmgs
 742             }
 743
 744
 745 def player_damage_json(request):
 746     """
 747     Provides a JSON response representing the damage for the given weapon.
 748
 749     Parameters:
 750        weapon = which weapon to display damage for. Valid values are
 751          'grenadelauncher', 'electro', 'crylink', 'hagar', 'rocketlauncher',
 752          'laser'.
 753        games = over how many games to display damage. Can be up to 50.
 754     """
 755     return player_damage_data(request)
 756
 757
 758 def player_hashkey_info_data(request):
 759     hashkey = request.matchdict['hashkey']
 760     try:
 761         player = DBSession.query(Player).\
 762                 filter(Player.player_id == Hashkey.player_id).\
 763                 filter(Player.active_ind == True).\
 764                 filter(Hashkey.hashkey == hashkey).one()
 765
 766         games_played   = get_games_played(player.player_id)
 767         overall_stats  = get_overall_stats(player.player_id)
 768         fav_maps       = get_fav_maps(player.player_id)
 769         elos           = get_elos(player.player_id)
 770         ranks          = get_ranks(player.player_id)
 771
 772     except Exception as e:
 773         raise pyramid.httpexceptions.HTTPNotFound
 774
 775     return {'player':player,
 776             'hashkey':hashkey,
 777             'games_played':games_played,
 778             'overall_stats':overall_stats,
 779             'fav_maps':fav_maps,
 780             'elos':elos,
 781             'ranks':ranks,
 782             }
 783
 784
 785 def player_hashkey_info_json(request):
 786     """
 787     Provides detailed information on a specific player. JSON.
 788     """
 789
 790     # All player_info fields are converted into JSON-formattable dictionaries
 791     player_info = player_hashkey_info_data(request)
 792
 793     player = player_info['player'].to_dict()
 794
 795     games_played = {}
 796     for game in player_info['games_played']:
 797         games_played[game.game_type_cd] = to_json(game)
 798
 799     overall_stats = {}
 800     for gt,stats in player_info['overall_stats'].items():
 801         overall_stats[gt] = to_json(stats)
 802
 803     elos = {}
 804     for gt,elo in player_info['elos'].items():
 805         elos[gt] = to_json(elo.to_dict())
 806
 807     ranks = {}
 808     for gt,rank in player_info['ranks'].items():
 809         ranks[gt] = to_json(rank)
 810
 811     fav_maps = {}
 812     for gt,mapinfo in player_info['fav_maps'].items():
 813         fav_maps[gt] = to_json(mapinfo)
 814
 815     return [{
 816         'version':          1,
 817         'player':           player,
 818         'games_played':     games_played,
 819         'overall_stats':    overall_stats,
 820         'fav_maps':         fav_maps,
 821         'elos':             elos,
 822         'ranks':            ranks,
 823     }]
 824
 825
 826 def player_hashkey_info_text(request):
 827     """
 828     Provides detailed information on a specific player. Plain text.
 829     """
 830     # UTC epoch
 831     now = timegm(datetime.datetime.utcnow().timetuple())
 832
 833     # All player_info fields are converted into JSON-formattable dictionaries
 834     player_info = player_hashkey_info_data(request)
 835
 836     # gather all of the data up into aggregate structures
 837     player = player_info['player']
 838     games_played = player_info['games_played']
 839     overall_stats = player_info['overall_stats']
 840     elos = player_info['elos']
 841     ranks = player_info['ranks']
 842     fav_maps = player_info['fav_maps']
 843
 844     # one-offs for things needing conversion for text/plain
 845     player_joined = timegm(player.create_dt.timetuple())
 846     alivetime = int(datetime_seconds(overall_stats['overall'].total_playing_time))
 847
 848     # this is a plain text response, if we don't do this here then
 849     # Pyramid will assume html
 850     request.response.content_type = 'text/plain'
 851
 852     return {
 853         'version':          1,
 854         'now':              now,
 855         'player':           player,
 856         'hashkey':          player_info['hashkey'],
 857         'player_joined':    player_joined,
 858         'games_played':     games_played,
 859         'overall_stats':    overall_stats,
 860         'alivetime':        alivetime,
 861         'fav_maps':         fav_maps,
 862         'elos':             elos,
 863         'ranks':            ranks,
 864     }
 865
 866
 867 def player_elo_info_data(request):
 868     """
 869     Provides elo information on a specific player. Raw data is returned.
 870     """
 871     hashkey = request.matchdict['hashkey']
 872     try:
 873         player = DBSession.query(Player).\
 874                 filter(Player.player_id == Hashkey.player_id).\
 875                 filter(Player.active_ind == True).\
 876                 filter(Hashkey.hashkey == hashkey).one()
 877
 878         elos = get_elos(player.player_id)
 879
 880     except Exception as e:
 881         log.debug(e)
 882         raise pyramid.httpexceptions.HTTPNotFound
 883
 884     return {'elos':elos}
 885
 886
 887 def player_elo_info_json(request):
 888     """
 889     Provides elo information on a specific player. JSON.
 890     """
 891     elo_info = player_elo_info_data(request)
 892
 893     elos = {}
 894     for gt, elo in elo_info['elos'].items():
 895         elos[gt] = to_json(elo.to_dict())
 896
 897     return [{
 898         'version':          1,
 899         'elos':             elos,
 900     }]
 901
 902 def player_captimes_data(request):
 903     player_id = int(request.matchdict['id'])
 904     if player_id <= 2:
 905         player_id = -1;
 906
 907     #player_captimes = DBSession.query(PlayerCaptime).\
 908     #        filter(PlayerCaptime.player_id==player_id).\
 909     #        order_by(PlayerCaptime.fastest_cap).\
 910     #        all()
 911
 912     PlayerCaptimes = namedtuple('PlayerCaptimes', ['fastest_cap', 'create_dt', 'create_dt_epoch', 'create_dt_fuzzy',
 913         'player_id', 'game_id', 'map_id', 'map_name', 'server_id', 'server_name'])
 914
 915     dbquery = DBSession.query('fastest_cap', 'create_dt', 'player_id', 'game_id', 'map_id',
 916                 'map_name', 'server_id', 'server_name').\
 917             from_statement(
 918                 "SELECT ct.fastest_cap, "
 919                        "ct.create_dt, "
 920                        "ct.player_id, "
 921                        "ct.game_id, "
 922                        "ct.map_id, "
 923                        "m.name map_name, "
 924                        "g.server_id, "
 925                        "s.name server_name "
 926                 "FROM   player_map_captimes ct, "
 927                        "games g, "
 928                        "maps m, "
 929                        "servers s "
 930                 "WHERE  ct.player_id = :player_id "
 931                   "AND  g.game_id = ct.game_id "
 932                   "AND  g.server_id = s.server_id "
 933                   "AND  m.map_id = ct.map_id "
 934                 #"ORDER  BY ct.fastest_cap "
 935                 "ORDER  BY ct.create_dt desc"
 936             ).params(player_id=player_id).all()
 937
 938     player = DBSession.query(Player).filter_by(player_id=player_id).one()
 939
 940     player_captimes = []
 941     for row in dbquery:
 942         player_captimes.append(PlayerCaptimes(
 943                 fastest_cap=row.fastest_cap,
 944                 create_dt=row.create_dt,
 945                 create_dt_epoch=timegm(row.create_dt.timetuple()),
 946                 create_dt_fuzzy=pretty_date(row.create_dt),
 947                 player_id=row.player_id,
 948                 game_id=row.game_id,
 949                 map_id=row.map_id,
 950                 map_name=row.map_name,
 951                 server_id=row.server_id,
 952                 server_name=row.server_name,
 953             ))
 954
 955     return {
 956             'captimes':player_captimes,
 957             'player_id':player_id,
 958             'player_url':request.route_url('player_info', id=player_id),
 959             'player':player,
 960         }
 961
 962 def player_captimes(request):
 963     return player_captimes_data(request)
 964
 965 def player_captimes_json(request):
 966     return player_captimes_data(request)