3 import pyramid.httpexceptions
4 import sqlalchemy as sa
5 import sqlalchemy.sql.functions as func
6 import sqlalchemy.sql.expression as expr
7 from calendar import timegm
8 from collections import namedtuple
9 from webhelpers.paginate import Page
10 from xonstat.models import *
11 from xonstat.util import page_url, to_json, pretty_date, datetime_seconds
12 from xonstat.util import is_cake_day, verify_request
13 from xonstat.views.helpers import RecentGame, recent_games_q
14 from urllib import unquote
16 log = logging.getLogger(__name__)
19 def player_index_data(request):
20 if request.params.has_key('page'):
21 current_page = request.params['page']
26 player_q = DBSession.query(Player).\
27 filter(Player.player_id > 2).\
28 filter(Player.active_ind == True).\
29 filter(sa.not_(Player.nick.like('Anonymous Player%'))).\
30 order_by(Player.player_id.desc())
32 players = Page(player_q, current_page, items_per_page=25, url=page_url)
34 except Exception as e:
38 return {'players':players
42 def player_index(request):
44 Provides a list of all the current players.
46 return player_index_data(request)
49 def player_index_json(request):
51 Provides a list of all the current players. JSON.
53 return [{'status':'not implemented'}]
56 def get_games_played(player_id):
58 Provides a breakdown by gametype of the games played by player_id.
60 Returns a list of namedtuples with the following members:
67 The list itself is ordered by the number of games played
69 GamesPlayed = namedtuple('GamesPlayed', ['game_type_cd', 'games', 'wins',
72 raw_games_played = DBSession.query('game_type_cd', 'wins', 'losses').\
74 "SELECT game_type_cd, "
77 "FROM (SELECT g.game_id, "
80 "WHEN g.winner = pgs.team THEN 1 "
81 "WHEN pgs.scoreboardpos = 1 THEN 1 "
85 "WHEN g.winner = pgs.team THEN 0 "
86 "WHEN pgs.scoreboardpos = 1 THEN 0 "
90 "player_game_stats pgs "
91 "WHERE g.game_id = pgs.game_id "
92 "AND pgs.player_id = :player_id) win_loss "
93 "GROUP BY game_type_cd "
94 ).params(player_id=player_id).all()
100 for row in raw_games_played:
101 games = row.wins + row.losses
102 overall_games += games
103 overall_wins += row.wins
104 overall_losses += row.losses
105 win_pct = float(row.wins)/games * 100
107 games_played.append(GamesPlayed(row.game_type_cd, games, row.wins,
108 row.losses, win_pct))
111 overall_win_pct = float(overall_wins)/overall_games * 100
113 overall_win_pct = 0.0
115 games_played.append(GamesPlayed('overall', overall_games, overall_wins,
116 overall_losses, overall_win_pct))
118 # sort the resulting list by # of games played
119 games_played = sorted(games_played, key=lambda x:x.games)
120 games_played.reverse()
124 def get_overall_stats(player_id):
126 Provides a breakdown of stats by gametype played by player_id.
128 Returns a dictionary of namedtuples with the following members:
132 - last_played (last time the player played the game type)
133 - last_played_epoch (same as above, but in seconds since epoch)
134 - last_played_fuzzy (same as above, but in relative date)
135 - total_playing_time (total amount of time played the game type)
136 - total_playing_time_secs (same as the above, but in seconds)
137 - total_pickups (ctf only)
138 - total_captures (ctf only)
139 - cap_ratio (ctf only)
140 - total_carrier_frags (ctf only)
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.
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_playing_time_secs', 'total_pickups', 'total_captures', 'cap_ratio',
150 'total_carrier_frags', 'game_type_cd', 'game_type_descr'])
152 raw_stats = DBSession.query('game_type_cd', 'game_type_descr',
153 'total_kills', 'total_deaths', 'last_played', 'total_playing_time',
154 'total_pickups', 'total_captures', 'total_carrier_frags').\
156 "SELECT g.game_type_cd, "
157 "gt.descr game_type_descr, "
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 "
167 "player_game_stats pgs "
168 "WHERE g.game_id = pgs.game_id "
169 "AND g.game_type_cd = gt.game_type_cd "
170 "AND pgs.player_id = :player_id "
171 "GROUP BY g.game_type_cd, game_type_descr "
173 "SELECT 'overall' game_type_cd, "
174 "'Overall' game_type_descr, "
175 "Sum(pgs.kills) total_kills, "
176 "Sum(pgs.deaths) total_deaths, "
177 "Max(pgs.create_dt) last_played, "
178 "Sum(pgs.alivetime) total_playing_time, "
179 "Sum(pgs.pickups) total_pickups, "
180 "Sum(pgs.captures) total_captures, "
181 "Sum(pgs.carrier_frags) total_carrier_frags "
182 "FROM player_game_stats pgs "
183 "WHERE pgs.player_id = :player_id "
184 ).params(player_id=player_id).all()
186 # to be indexed by game_type_cd
189 for row in raw_stats:
190 # individual gametype ratio calculations
192 k_d_ratio = float(row.total_kills)/row.total_deaths
197 cap_ratio = float(row.total_captures)/row.total_pickups
201 # everything else is untouched or "raw"
202 os = OverallStats(total_kills=row.total_kills,
203 total_deaths=row.total_deaths,
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,
213 total_carrier_frags=row.total_carrier_frags,
214 game_type_cd=row.game_type_cd,
215 game_type_descr=row.game_type_descr)
217 overall_stats[row.game_type_cd] = os
219 # We have to edit "overall" stats to exclude deaths in CTS.
220 # Although we still want to record deaths, they shouldn't
221 # count towards the overall K:D ratio.
222 if 'cts' in overall_stats:
223 os = overall_stats['overall']
226 k_d_ratio = float(os.total_kills)/(os.total_deaths - overall_stats['cts'].total_deaths)
230 non_cts_deaths = os.total_deaths - overall_stats['cts'].total_deaths
233 overall_stats['overall'] = OverallStats(
234 total_kills = os.total_kills,
235 total_deaths = non_cts_deaths,
236 k_d_ratio = k_d_ratio,
237 last_played = os.last_played,
238 last_played_epoch = os.last_played_epoch,
239 last_played_fuzzy = os.last_played_fuzzy,
240 total_playing_time = os.total_playing_time,
241 total_playing_time_secs = os.total_playing_time_secs,
242 total_pickups = os.total_pickups,
243 total_captures = os.total_captures,
244 cap_ratio = os.cap_ratio,
245 total_carrier_frags = os.total_carrier_frags,
246 game_type_cd = os.game_type_cd,
247 game_type_descr = os.game_type_descr)
252 def get_fav_maps(player_id, game_type_cd=None):
254 Provides a breakdown of favorite maps by gametype.
256 Returns a dictionary of namedtuples with the following members:
258 - map_name (map name)
262 The favorite map is defined as the map you've played the most
263 for the given game_type_cd.
265 The key to the dictionary is the game type code. There is also an
266 "overall" game_type_cd which is the overall favorite map. This is
267 defined as the favorite map of the game type you've played the
268 most. The input parameter game_type_cd is for this.
270 FavMap = namedtuple('FavMap', ['map_name', 'map_id', 'times_played', 'game_type_cd'])
272 raw_favs = DBSession.query('game_type_cd', 'map_name',
273 'map_id', 'times_played').\
275 "SELECT game_type_cd, "
279 "FROM (SELECT g.game_type_cd, "
282 "Count(*) times_played, "
285 "partition BY g.game_type_cd "
286 "ORDER BY Count(*) DESC, m.map_id ASC) rank "
288 "player_game_stats pgs, "
290 "WHERE g.game_id = pgs.game_id "
291 "AND g.map_id = m.map_id "
292 "AND pgs.player_id = :player_id "
293 "GROUP BY g.game_type_cd, "
295 "m.name) most_played "
297 "ORDER BY times_played desc "
298 ).params(player_id=player_id).all()
303 fv = FavMap(map_name=row.map_name,
305 times_played=row.times_played,
306 game_type_cd=row.game_type_cd)
308 # if we aren't given a favorite game_type_cd
309 # then the overall favorite is the one we've
311 if overall_fav is None:
312 fav_maps['overall'] = fv
313 overall_fav = fv.game_type_cd
315 # otherwise it is the favorite map from the
316 # favorite game_type_cd (provided as a param)
317 # and we'll overwrite the first dict entry
318 if game_type_cd == fv.game_type_cd:
319 fav_maps['overall'] = fv
321 fav_maps[row.game_type_cd] = fv
326 def get_ranks(player_id):
328 Provides a breakdown of the player's ranks by game type.
330 Returns a dictionary of namedtuples with the following members:
335 The key to the dictionary is the game type code. There is also an
336 "overall" game_type_cd which is the overall best rank.
338 Rank = namedtuple('Rank', ['rank', 'max_rank', 'percentile', 'game_type_cd'])
340 raw_ranks = DBSession.query("game_type_cd", "rank", "max_rank").\
342 "select pr.game_type_cd, pr.rank, overall.max_rank "
343 "from player_ranks pr, "
344 "(select game_type_cd, max(rank) max_rank "
346 "group by game_type_cd) overall "
347 "where pr.game_type_cd = overall.game_type_cd "
348 "and player_id = :player_id "
350 params(player_id=player_id).all()
353 found_top_rank = False
354 for row in raw_ranks:
355 rank = Rank(rank=row.rank,
356 max_rank=row.max_rank,
357 percentile=100 - 100*float(row.rank-1)/(row.max_rank-1),
358 game_type_cd=row.game_type_cd)
361 if not found_top_rank:
362 ranks['overall'] = rank
363 found_top_rank = True
364 elif rank.percentile > ranks['overall'].percentile:
365 ranks['overall'] = rank
367 ranks[row.game_type_cd] = rank
372 def get_elos(player_id):
374 Provides a breakdown of the player's elos by game type.
376 Returns a dictionary of namedtuples with the following members:
382 The key to the dictionary is the game type code. There is also an
383 "overall" game_type_cd which is the overall best rank.
385 raw_elos = DBSession.query(PlayerElo).filter_by(player_id=player_id).\
386 order_by(PlayerElo.elo.desc()).all()
389 found_max_elo = False
391 if not found_max_elo:
392 elos['overall'] = row
395 elos[row.game_type_cd] = row
400 def get_recent_games(player_id, limit=10):
402 Provides a list of recent games for a player. Uses the recent_games_q helper.
404 # recent games played in descending order
405 rgs = recent_games_q(player_id=player_id, force_player_id=True).limit(limit).all()
406 recent_games = [RecentGame(row) for row in rgs]
411 def get_recent_weapons(player_id):
413 Returns the weapons that have been used in the past 90 days
414 and also used in 5 games or more.
416 cutoff = datetime.datetime.utcnow() - datetime.timedelta(days=90)
418 for weapon in DBSession.query(PlayerWeaponStat.weapon_cd, func.count()).\
419 filter(PlayerWeaponStat.player_id == player_id).\
420 filter(PlayerWeaponStat.create_dt > cutoff).\
421 group_by(PlayerWeaponStat.weapon_cd).\
422 having(func.count() > 4).\
424 recent_weapons.append(weapon[0])
426 return recent_weapons
429 def get_accuracy_stats(player_id, weapon_cd, games):
431 Provides accuracy for weapon_cd by player_id for the past N games.
433 # Reaching back 90 days should give us an accurate enough average
434 # We then multiply this out for the number of data points (games) to
435 # create parameters for a flot graph
437 raw_avg = DBSession.query(func.sum(PlayerWeaponStat.hit),
438 func.sum(PlayerWeaponStat.fired)).\
439 filter(PlayerWeaponStat.player_id == player_id).\
440 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
443 avg = round(float(raw_avg[0])/raw_avg[1]*100, 2)
445 # Determine the raw accuracy (hit, fired) numbers for $games games
446 # This is then enumerated to create parameters for a flot graph
447 raw_accs = DBSession.query(PlayerWeaponStat.game_id,
448 PlayerWeaponStat.hit, PlayerWeaponStat.fired).\
449 filter(PlayerWeaponStat.player_id == player_id).\
450 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
451 order_by(PlayerWeaponStat.game_id.desc()).\
455 # they come out in opposite order, so flip them in the right direction
459 for i in range(len(raw_accs)):
460 accs.append((raw_accs[i][0], round(float(raw_accs[i][1])/raw_accs[i][2]*100, 2)))
468 def get_damage_stats(player_id, weapon_cd, games):
470 Provides damage info for weapon_cd by player_id for the past N games.
473 raw_avg = DBSession.query(func.sum(PlayerWeaponStat.actual),
474 func.sum(PlayerWeaponStat.hit)).\
475 filter(PlayerWeaponStat.player_id == player_id).\
476 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
479 avg = round(float(raw_avg[0])/raw_avg[1], 2)
481 # Determine the damage efficiency (hit, fired) numbers for $games games
482 # This is then enumerated to create parameters for a flot graph
483 raw_dmgs = DBSession.query(PlayerWeaponStat.game_id,
484 PlayerWeaponStat.actual, PlayerWeaponStat.hit).\
485 filter(PlayerWeaponStat.player_id == player_id).\
486 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
487 order_by(PlayerWeaponStat.game_id.desc()).\
491 # they come out in opposite order, so flip them in the right direction
495 for i in range(len(raw_dmgs)):
496 # try to derive, unless we've hit nothing then set to 0!
498 dmg = round(float(raw_dmgs[i][1])/raw_dmgs[i][2], 2)
502 dmgs.append((raw_dmgs[i][0], dmg))
503 except Exception as e:
510 def player_info_data(request):
511 player_id = int(request.matchdict['id'])
516 player = DBSession.query(Player).filter_by(player_id=player_id).\
517 filter(Player.active_ind == True).one()
519 games_played = get_games_played(player_id)
520 overall_stats = get_overall_stats(player_id)
521 fav_maps = get_fav_maps(player_id)
522 elos = get_elos(player_id)
523 ranks = get_ranks(player_id)
524 recent_games = get_recent_games(player_id)
525 recent_weapons = get_recent_weapons(player_id)
526 cake_day = is_cake_day(player.create_dt)
528 except Exception as e:
529 raise pyramid.httpexceptions.HTTPNotFound
531 ## do not raise application exceptions here (only for debugging)
534 return {'player':player,
535 'games_played':games_played,
536 'overall_stats':overall_stats,
540 'recent_games':recent_games,
541 'recent_weapons':recent_weapons,
546 def player_info(request):
548 Provides detailed information on a specific player
550 return player_info_data(request)
553 def player_info_json(request):
555 Provides detailed information on a specific player. JSON.
558 # All player_info fields are converted into JSON-formattable dictionaries
559 player_info = player_info_data(request)
561 player = player_info['player'].to_dict()
564 for game in player_info['games_played']:
565 games_played[game.game_type_cd] = to_json(game)
568 for gt,stats in player_info['overall_stats'].items():
569 overall_stats[gt] = to_json(stats)
572 for gt,elo in player_info['elos'].items():
573 elos[gt] = to_json(elo.to_dict())
576 for gt,rank in player_info['ranks'].items():
577 ranks[gt] = to_json(rank)
580 for gt,mapinfo in player_info['fav_maps'].items():
581 fav_maps[gt] = to_json(mapinfo)
584 for game in player_info['recent_games']:
585 recent_games.append(to_json(game))
587 #recent_weapons = player_info['recent_weapons']
591 'games_played': games_played,
592 'overall_stats': overall_stats,
593 'fav_maps': fav_maps,
596 'recent_games': recent_games,
597 # 'recent_weapons': recent_weapons,
598 'recent_weapons': ['not implemented'],
600 #return [{'status':'not implemented'}]
603 def player_game_index_data(request):
604 player_id = request.matchdict['player_id']
607 game_type_descr = None
609 if request.params.has_key('type'):
610 game_type_cd = request.params['type']
612 game_type_descr = DBSession.query(GameType.descr).\
613 filter(GameType.game_type_cd == game_type_cd).\
615 except Exception as e:
620 game_type_descr = None
622 if request.params.has_key('page'):
623 current_page = request.params['page']
628 player = DBSession.query(Player).\
629 filter_by(player_id=player_id).\
630 filter(Player.active_ind == True).\
633 rgs_q = recent_games_q(player_id=player.player_id,
634 force_player_id=True, game_type_cd=game_type_cd)
636 games = Page(rgs_q, current_page, items_per_page=20, url=page_url)
638 # replace the items in the canned pagination class with more rich ones
639 games.items = [RecentGame(row) for row in games.items]
641 games_played = get_games_played(player_id)
643 except Exception as e:
647 game_type_descr = None
651 'player_id':player.player_id,
654 'game_type_cd':game_type_cd,
655 'game_type_descr':game_type_descr,
656 'games_played':games_played,
660 def player_game_index(request):
662 Provides an index of the games in which a particular
663 player was involved. This is ordered by game_id, with
664 the most recent game_ids first. Paginated.
666 return player_game_index_data(request)
669 def player_game_index_json(request):
671 Provides an index of the games in which a particular
672 player was involved. This is ordered by game_id, with
673 the most recent game_ids first. Paginated. JSON.
675 return [{'status':'not implemented'}]
678 def player_accuracy_data(request):
679 player_id = request.matchdict['id']
680 allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']
684 if request.params.has_key('weapon'):
685 if request.params['weapon'] in allowed_weapons:
686 weapon_cd = request.params['weapon']
688 if request.params.has_key('games'):
690 games = request.params['games']
699 (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)
701 # if we don't have enough data for the given weapon
702 if len(accs) < games:
706 'player_id':player_id,
707 'player_url':request.route_url('player_info', id=player_id),
715 def player_accuracy(request):
717 Provides the accuracy for the given weapon. (JSON only)
719 return player_accuracy_data(request)
722 def player_accuracy_json(request):
724 Provides a JSON response representing the accuracy for the given weapon.
727 weapon = which weapon to display accuracy for. Valid values are 'nex',
728 'shotgun', 'uzi', and 'minstanex'.
729 games = over how many games to display accuracy. Can be up to 50.
731 return player_accuracy_data(request)
734 def player_damage_data(request):
735 player_id = request.matchdict['id']
736 allowed_weapons = ['grenadelauncher', 'electro', 'crylink', 'hagar',
737 'rocketlauncher', 'laser']
738 weapon_cd = 'rocketlauncher'
741 if request.params.has_key('weapon'):
742 if request.params['weapon'] in allowed_weapons:
743 weapon_cd = request.params['weapon']
745 if request.params.has_key('games'):
747 games = request.params['games']
756 (avg, dmgs) = get_damage_stats(player_id, weapon_cd, games)
758 # if we don't have enough data for the given weapon
759 if len(dmgs) < games:
763 'player_id':player_id,
764 'player_url':request.route_url('player_info', id=player_id),
772 def player_damage_json(request):
774 Provides a JSON response representing the damage for the given weapon.
777 weapon = which weapon to display damage for. Valid values are
778 'grenadelauncher', 'electro', 'crylink', 'hagar', 'rocketlauncher',
780 games = over how many games to display damage. Can be up to 50.
782 return player_damage_data(request)
785 def player_hashkey_info_data(request):
786 # hashkey = request.matchdict['hashkey']
788 # the incoming hashkey is double quoted, and WSGI unquotes once...
789 # hashkey = unquote(hashkey)
791 # if using request verification to obtain the hashkey
792 (idfp, status) = verify_request(request)
793 log.debug("d0_blind_id verification: idfp={0} status={1}\n".format(idfp, status))
795 log.debug("\n----- BEGIN REQUEST BODY -----\n" + request.body +
796 "----- END REQUEST BODY -----\n\n")
798 # if config is to *not* verify requests and we get nothing back, this
799 # query will return nothing and we'll 404.
801 player = DBSession.query(Player).\
802 filter(Player.player_id == Hashkey.player_id).\
803 filter(Player.active_ind == True).\
804 filter(Hashkey.hashkey == idfp).one()
806 games_played = get_games_played(player.player_id)
807 overall_stats = get_overall_stats(player.player_id)
808 fav_maps = get_fav_maps(player.player_id)
809 elos = get_elos(player.player_id)
810 ranks = get_ranks(player.player_id)
811 most_recent_game = get_recent_games(player.player_id, 1)[0]
813 except Exception as e:
814 raise pyramid.httpexceptions.HTTPNotFound
816 return {'player':player,
818 'games_played':games_played,
819 'overall_stats':overall_stats,
823 'most_recent_game':most_recent_game,
827 def player_hashkey_info_json(request):
829 Provides detailed information on a specific player. JSON.
832 # All player_info fields are converted into JSON-formattable dictionaries
833 player_info = player_hashkey_info_data(request)
835 player = player_info['player'].to_dict()
838 for game in player_info['games_played']:
839 games_played[game.game_type_cd] = to_json(game)
842 for gt,stats in player_info['overall_stats'].items():
843 overall_stats[gt] = to_json(stats)
846 for gt,elo in player_info['elos'].items():
847 elos[gt] = to_json(elo.to_dict())
850 for gt,rank in player_info['ranks'].items():
851 ranks[gt] = to_json(rank)
854 for gt,mapinfo in player_info['fav_maps'].items():
855 fav_maps[gt] = to_json(mapinfo)
857 most_recent_game = to_json(player_info['most_recent_game'])
862 'games_played': games_played,
863 'overall_stats': overall_stats,
864 'fav_maps': fav_maps,
867 'most_recent_game': most_recent_game,
871 def player_hashkey_info_text(request):
873 Provides detailed information on a specific player. Plain text.
876 now = timegm(datetime.datetime.utcnow().timetuple())
878 # All player_info fields are converted into JSON-formattable dictionaries
879 player_info = player_hashkey_info_data(request)
881 # gather all of the data up into aggregate structures
882 player = player_info['player']
883 games_played = player_info['games_played']
884 overall_stats = player_info['overall_stats']
885 elos = player_info['elos']
886 ranks = player_info['ranks']
887 fav_maps = player_info['fav_maps']
888 most_recent_game = player_info['most_recent_game']
890 # one-offs for things needing conversion for text/plain
891 player_joined = timegm(player.create_dt.timetuple())
892 player_joined_dt = player.create_dt
893 alivetime = int(datetime_seconds(overall_stats['overall'].total_playing_time))
895 # this is a plain text response, if we don't do this here then
896 # Pyramid will assume html
897 request.response.content_type = 'text/plain'
903 'hashkey': player_info['hashkey'],
904 'player_joined': player_joined,
905 'player_joined_dt': player_joined_dt,
906 'games_played': games_played,
907 'overall_stats': overall_stats,
908 'alivetime': alivetime,
909 'fav_maps': fav_maps,
912 'most_recent_game': most_recent_game,
916 def player_elo_info_data(request):
918 Provides elo information on a specific player. Raw data is returned.
920 (idfp, status) = verify_request(request)
921 log.debug("d0_blind_id verification: idfp={0} status={1}\n".format(idfp, status))
923 log.debug("\n----- BEGIN REQUEST BODY -----\n" + request.body +
924 "----- END REQUEST BODY -----\n\n")
926 hashkey = request.matchdict['hashkey']
928 # the incoming hashkey is double quoted, and WSGI unquotes once...
929 hashkey = unquote(hashkey)
932 player = DBSession.query(Player).\
933 filter(Player.player_id == Hashkey.player_id).\
934 filter(Player.active_ind == True).\
935 filter(Hashkey.hashkey == hashkey).one()
937 elos = get_elos(player.player_id)
939 except Exception as e:
941 raise pyramid.httpexceptions.HTTPNotFound
950 def player_elo_info_json(request):
952 Provides elo information on a specific player. JSON.
954 elo_info = player_elo_info_data(request)
956 player = player_info['player'].to_dict()
959 for gt, elo in elo_info['elos'].items():
960 elos[gt] = to_json(elo.to_dict())
969 def player_elo_info_text(request):
971 Provides elo information on a specific player. Plain text.
974 now = timegm(datetime.datetime.utcnow().timetuple())
976 # All player_info fields are converted into JSON-formattable dictionaries
977 elo_info = player_elo_info_data(request)
979 # this is a plain text response, if we don't do this here then
980 # Pyramid will assume html
981 request.response.content_type = 'text/plain'
986 'hashkey': elo_info['hashkey'],
987 'player': elo_info['player'],
988 'elos': elo_info['elos'],
992 def player_captimes_data(request):
993 player_id = int(request.matchdict['player_id'])
997 if request.params.has_key('page'):
998 current_page = request.params['page']
1002 PlayerCaptimes = namedtuple('PlayerCaptimes', ['fastest_cap',
1003 'create_dt', 'create_dt_epoch', 'create_dt_fuzzy',
1004 'player_id', 'game_id', 'map_id', 'map_name', 'server_id', 'server_name'])
1006 player = DBSession.query(Player).filter_by(player_id=player_id).one()
1008 #pct_q = DBSession.query('fastest_cap', 'create_dt', 'player_id', 'game_id', 'map_id',
1009 # 'map_name', 'server_id', 'server_name').\
1011 # "SELECT ct.fastest_cap, "
1016 # "m.name map_name, "
1018 # "s.name server_name "
1019 # "FROM player_map_captimes ct, "
1023 # "WHERE ct.player_id = :player_id "
1024 # "AND g.game_id = ct.game_id "
1025 # "AND g.server_id = s.server_id "
1026 # "AND m.map_id = ct.map_id "
1027 # #"ORDER BY ct.fastest_cap "
1028 # "ORDER BY ct.create_dt desc"
1029 # ).params(player_id=player_id)
1032 pct_q = DBSession.query(PlayerCaptime.fastest_cap, PlayerCaptime.create_dt,
1033 PlayerCaptime.player_id, PlayerCaptime.game_id, PlayerCaptime.map_id,
1034 Map.name.label('map_name'), Game.server_id, Server.name.label('server_name')).\
1035 filter(PlayerCaptime.player_id==player_id).\
1036 filter(PlayerCaptime.game_id==Game.game_id).\
1037 filter(PlayerCaptime.map_id==Map.map_id).\
1038 filter(Game.server_id==Server.server_id).\
1039 order_by(expr.asc(PlayerCaptime.fastest_cap)) # or PlayerCaptime.create_dt
1041 player_captimes = Page(pct_q, current_page, items_per_page=20, url=page_url)
1043 # replace the items in the canned pagination class with more rich ones
1044 player_captimes.items = [PlayerCaptimes(
1045 fastest_cap=row.fastest_cap,
1046 create_dt=row.create_dt,
1047 create_dt_epoch=timegm(row.create_dt.timetuple()),
1048 create_dt_fuzzy=pretty_date(row.create_dt),
1049 player_id=row.player_id,
1050 game_id=row.game_id,
1052 map_name=row.map_name,
1053 server_id=row.server_id,
1054 server_name=row.server_name
1055 ) for row in player_captimes.items]
1057 except Exception as e:
1059 player_captimes = None
1062 'player_id':player_id,
1064 'captimes':player_captimes,
1065 #'player_url':request.route_url('player_info', id=player_id),
1069 def player_captimes(request):
1070 return player_captimes_data(request)
1073 def player_captimes_json(request):
1074 return player_captimes_data(request)
1077 def player_weaponstats_data_json(request):
1078 player_id = request.matchdict["id"]
1082 game_type_cd = request.params.get("game_type", None)
1083 if game_type_cd == "overall":
1087 if request.params.has_key("limit"):
1088 limit = int(request.params["limit"])
1095 games_raw = DBSession.query(sa.distinct(Game.game_id)).\
1096 filter(Game.game_id == PlayerWeaponStat.game_id).\
1097 filter(PlayerWeaponStat.player_id == player_id)
1099 if game_type_cd is not None:
1100 games_raw = games_raw.filter(Game.game_type_cd == game_type_cd)
1102 games_raw = games_raw.order_by(Game.game_id.desc()).limit(limit).all()
1104 weapon_stats_raw = DBSession.query(PlayerWeaponStat).\
1105 filter(PlayerWeaponStat.player_id == player_id).\
1106 filter(PlayerWeaponStat.game_id.in_(games_raw)).all()
1108 # NVD3 expects data points for all weapons used across the
1109 # set of games *for each* point on the x axis. This means populating
1110 # zero-valued weapon stat entries for games where a weapon was not
1111 # used in that game, but was used in another game for the set
1112 games_to_weapons = {}
1115 for ws in weapon_stats_raw:
1116 if ws.game_id not in games_to_weapons:
1117 games_to_weapons[ws.game_id] = [ws.weapon_cd]
1119 games_to_weapons[ws.game_id].append(ws.weapon_cd)
1121 weapons_used[ws.weapon_cd] = weapons_used.get(ws.weapon_cd, 0) + 1
1122 sum_avgs[ws.weapon_cd] = sum_avgs.get(ws.weapon_cd, 0) + float(ws.hit)/float(ws.fired)
1124 for game_id in games_to_weapons.keys():
1125 for weapon_cd in set(weapons_used.keys()) - set(games_to_weapons[game_id]):
1126 weapon_stats_raw.append(PlayerWeaponStat(player_id=player_id,
1127 game_id=game_id, weapon_cd=weapon_cd))
1129 # averages for the weapons used in the range
1131 for w in weapons_used.keys():
1132 avgs[w] = round(sum_avgs[w]/float(weapons_used[w])*100, 2)
1134 weapon_stats_raw = sorted(weapon_stats_raw, key = lambda x: x.game_id)
1135 games = sorted(games_to_weapons.keys())
1136 weapon_stats = [ws.to_dict() for ws in weapon_stats_raw]
1139 "weapon_stats": weapon_stats,
1140 "weapons_used": weapons_used.keys(),