3 import pyramid.httpexceptions
4 import sqlalchemy as sa
5 import sqlalchemy.sql.functions as func
6 from calendar import timegm
7 from collections import namedtuple
8 from webhelpers.paginate import Page
9 from xonstat.models import *
10 from xonstat.util import page_url, to_json, pretty_date, datetime_seconds
11 from xonstat.util import is_cake_day, verify_request
12 from xonstat.views.helpers import RecentGame, recent_games_q
14 log = logging.getLogger(__name__)
17 def player_index_data(request):
18 if request.params.has_key('page'):
19 current_page = request.params['page']
24 player_q = DBSession.query(Player).\
25 filter(Player.player_id > 2).\
26 filter(Player.active_ind == True).\
27 filter(sa.not_(Player.nick.like('Anonymous Player%'))).\
28 order_by(Player.player_id.desc())
30 players = Page(player_q, current_page, items_per_page=25, url=page_url)
32 except Exception as e:
36 return {'players':players
40 def player_index(request):
42 Provides a list of all the current players.
44 return player_index_data(request)
47 def player_index_json(request):
49 Provides a list of all the current players. JSON.
51 return [{'status':'not implemented'}]
54 def get_games_played(player_id):
56 Provides a breakdown by gametype of the games played by player_id.
58 Returns a list of namedtuples with the following members:
65 The list itself is ordered by the number of games played
67 GamesPlayed = namedtuple('GamesPlayed', ['game_type_cd', 'games', 'wins',
70 raw_games_played = DBSession.query('game_type_cd', 'wins', 'losses').\
72 "SELECT game_type_cd, "
75 "FROM (SELECT g.game_id, "
78 "WHEN g.winner = pgs.team THEN 1 "
79 "WHEN pgs.scoreboardpos = 1 THEN 1 "
83 "WHEN g.winner = pgs.team THEN 0 "
84 "WHEN pgs.scoreboardpos = 1 THEN 0 "
88 "player_game_stats pgs "
89 "WHERE g.game_id = pgs.game_id "
90 "AND pgs.player_id = :player_id) win_loss "
91 "GROUP BY game_type_cd "
92 ).params(player_id=player_id).all()
98 for row in raw_games_played:
99 games = row.wins + row.losses
100 overall_games += games
101 overall_wins += row.wins
102 overall_losses += row.losses
103 win_pct = float(row.wins)/games * 100
105 games_played.append(GamesPlayed(row.game_type_cd, games, row.wins,
106 row.losses, win_pct))
109 overall_win_pct = float(overall_wins)/overall_games * 100
111 overall_win_pct = 0.0
113 games_played.append(GamesPlayed('overall', overall_games, overall_wins,
114 overall_losses, overall_win_pct))
116 # sort the resulting list by # of games played
117 games_played = sorted(games_played, key=lambda x:x.games)
118 games_played.reverse()
122 def get_overall_stats(player_id):
124 Provides a breakdown of stats by gametype played by player_id.
126 Returns a dictionary of namedtuples with the following members:
130 - last_played (last time the player played the game type)
131 - last_played_epoch (same as above, but in seconds since epoch)
132 - last_played_fuzzy (same as above, but in relative date)
133 - total_playing_time (total amount of time played the game type)
134 - total_playing_time_secs (same as the above, but in seconds)
135 - total_pickups (ctf only)
136 - total_captures (ctf only)
137 - cap_ratio (ctf only)
138 - total_carrier_frags (ctf only)
142 The key to the dictionary is the game type code. There is also an
143 "overall" game_type_cd which sums the totals and computes the total ratios.
145 OverallStats = namedtuple('OverallStats', ['total_kills', 'total_deaths',
146 'k_d_ratio', 'last_played', 'last_played_epoch', 'last_played_fuzzy',
147 'total_playing_time', 'total_playing_time_secs', 'total_pickups', 'total_captures', 'cap_ratio',
148 'total_carrier_frags', 'game_type_cd', 'game_type_descr'])
150 raw_stats = DBSession.query('game_type_cd', 'game_type_descr',
151 'total_kills', 'total_deaths', 'last_played', 'total_playing_time',
152 'total_pickups', 'total_captures', 'total_carrier_frags').\
154 "SELECT g.game_type_cd, "
155 "gt.descr game_type_descr, "
156 "Sum(pgs.kills) total_kills, "
157 "Sum(pgs.deaths) total_deaths, "
158 "Max(pgs.create_dt) last_played, "
159 "Sum(pgs.alivetime) total_playing_time, "
160 "Sum(pgs.pickups) total_pickups, "
161 "Sum(pgs.captures) total_captures, "
162 "Sum(pgs.carrier_frags) total_carrier_frags "
165 "player_game_stats pgs "
166 "WHERE g.game_id = pgs.game_id "
167 "AND g.game_type_cd = gt.game_type_cd "
168 "AND pgs.player_id = :player_id "
169 "GROUP BY g.game_type_cd, game_type_descr "
171 "SELECT 'overall' game_type_cd, "
172 "'Overall' game_type_descr, "
173 "Sum(pgs.kills) total_kills, "
174 "Sum(pgs.deaths) total_deaths, "
175 "Max(pgs.create_dt) last_played, "
176 "Sum(pgs.alivetime) total_playing_time, "
177 "Sum(pgs.pickups) total_pickups, "
178 "Sum(pgs.captures) total_captures, "
179 "Sum(pgs.carrier_frags) total_carrier_frags "
180 "FROM player_game_stats pgs "
181 "WHERE pgs.player_id = :player_id "
182 ).params(player_id=player_id).all()
184 # to be indexed by game_type_cd
187 for row in raw_stats:
188 # individual gametype ratio calculations
190 k_d_ratio = float(row.total_kills)/row.total_deaths
195 cap_ratio = float(row.total_captures)/row.total_pickups
199 # everything else is untouched or "raw"
200 os = OverallStats(total_kills=row.total_kills,
201 total_deaths=row.total_deaths,
203 last_played=row.last_played,
204 last_played_epoch=timegm(row.last_played.timetuple()),
205 last_played_fuzzy=pretty_date(row.last_played),
206 total_playing_time=row.total_playing_time,
207 total_playing_time_secs=int(datetime_seconds(row.total_playing_time)),
208 total_pickups=row.total_pickups,
209 total_captures=row.total_captures,
211 total_carrier_frags=row.total_carrier_frags,
212 game_type_cd=row.game_type_cd,
213 game_type_descr=row.game_type_descr)
215 overall_stats[row.game_type_cd] = os
217 # We have to edit "overall" stats to exclude deaths in CTS.
218 # Although we still want to record deaths, they shouldn't
219 # count towards the overall K:D ratio.
220 if 'cts' in overall_stats:
221 os = overall_stats['overall']
224 k_d_ratio = float(os.total_kills)/(os.total_deaths - overall_stats['cts'].total_deaths)
228 non_cts_deaths = os.total_deaths - overall_stats['cts'].total_deaths
231 overall_stats['overall'] = OverallStats(
232 total_kills = os.total_kills,
233 total_deaths = non_cts_deaths,
234 k_d_ratio = k_d_ratio,
235 last_played = os.last_played,
236 last_played_epoch = os.last_played_epoch,
237 last_played_fuzzy = os.last_played_fuzzy,
238 total_playing_time = os.total_playing_time,
239 total_playing_time_secs = os.total_playing_time_secs,
240 total_pickups = os.total_pickups,
241 total_captures = os.total_captures,
242 cap_ratio = os.cap_ratio,
243 total_carrier_frags = os.total_carrier_frags,
244 game_type_cd = os.game_type_cd,
245 game_type_descr = os.game_type_descr)
250 def get_fav_maps(player_id, game_type_cd=None):
252 Provides a breakdown of favorite maps by gametype.
254 Returns a dictionary of namedtuples with the following members:
256 - map_name (map name)
260 The favorite map is defined as the map you've played the most
261 for the given game_type_cd.
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.
268 FavMap = namedtuple('FavMap', ['map_name', 'map_id', 'times_played', 'game_type_cd'])
270 raw_favs = DBSession.query('game_type_cd', 'map_name',
271 'map_id', 'times_played').\
273 "SELECT game_type_cd, "
277 "FROM (SELECT g.game_type_cd, "
280 "Count(*) times_played, "
283 "partition BY g.game_type_cd "
284 "ORDER BY Count(*) DESC, m.map_id ASC) rank "
286 "player_game_stats pgs, "
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, "
293 "m.name) most_played "
295 "ORDER BY times_played desc "
296 ).params(player_id=player_id).all()
301 fv = FavMap(map_name=row.map_name,
303 times_played=row.times_played,
304 game_type_cd=row.game_type_cd)
306 # if we aren't given a favorite game_type_cd
307 # then the overall favorite is the one we've
309 if overall_fav is None:
310 fav_maps['overall'] = fv
311 overall_fav = fv.game_type_cd
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
319 fav_maps[row.game_type_cd] = fv
324 def get_ranks(player_id):
326 Provides a breakdown of the player's ranks by game type.
328 Returns a dictionary of namedtuples with the following members:
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.
336 Rank = namedtuple('Rank', ['rank', 'max_rank', 'percentile', 'game_type_cd'])
338 raw_ranks = DBSession.query("game_type_cd", "rank", "max_rank").\
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 "
344 "group by game_type_cd) overall "
345 "where pr.game_type_cd = overall.game_type_cd "
346 "and player_id = :player_id "
348 params(player_id=player_id).all()
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-1)/(row.max_rank-1),
356 game_type_cd=row.game_type_cd)
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
365 ranks[row.game_type_cd] = rank
370 def get_elos(player_id):
372 Provides a breakdown of the player's elos by game type.
374 Returns a dictionary of namedtuples with the following members:
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.
383 raw_elos = DBSession.query(PlayerElo).filter_by(player_id=player_id).\
384 order_by(PlayerElo.elo.desc()).all()
387 found_max_elo = False
389 if not found_max_elo:
390 elos['overall'] = row
393 elos[row.game_type_cd] = row
398 def get_recent_games(player_id, limit=10):
400 Provides a list of recent games for a player. Uses the recent_games_q helper.
402 # recent games played in descending order
403 rgs = recent_games_q(player_id=player_id, force_player_id=True).limit(limit).all()
404 recent_games = [RecentGame(row) for row in rgs]
409 def get_recent_weapons(player_id):
411 Returns the weapons that have been used in the past 90 days
412 and also used in 5 games or more.
414 cutoff = datetime.datetime.utcnow() - datetime.timedelta(days=90)
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).\
422 recent_weapons.append(weapon[0])
424 return recent_weapons
427 def get_accuracy_stats(player_id, weapon_cd, games):
429 Provides accuracy for weapon_cd by player_id for the past N games.
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
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).\
441 avg = round(float(raw_avg[0])/raw_avg[1]*100, 2)
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()).\
453 # they come out in opposite order, so flip them in the right direction
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)))
466 def get_damage_stats(player_id, weapon_cd, games):
468 Provides damage info for weapon_cd by player_id for the past N games.
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).\
477 avg = round(float(raw_avg[0])/raw_avg[1], 2)
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()).\
489 # they come out in opposite order, so flip them in the right direction
493 for i in range(len(raw_dmgs)):
494 # try to derive, unless we've hit nothing then set to 0!
496 dmg = round(float(raw_dmgs[i][1])/raw_dmgs[i][2], 2)
500 dmgs.append((raw_dmgs[i][0], dmg))
501 except Exception as e:
508 def player_info_data(request):
509 player_id = int(request.matchdict['id'])
514 player = DBSession.query(Player).filter_by(player_id=player_id).\
515 filter(Player.active_ind == True).one()
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 cake_day = is_cake_day(player.create_dt)
526 except Exception as e:
536 ## do not raise exceptions here (only for debugging)
539 return {'player':player,
540 'games_played':games_played,
541 'overall_stats':overall_stats,
545 'recent_games':recent_games,
546 'recent_weapons':recent_weapons,
551 def player_info(request):
553 Provides detailed information on a specific player
555 return player_info_data(request)
558 def player_info_json(request):
560 Provides detailed information on a specific player. JSON.
563 # All player_info fields are converted into JSON-formattable dictionaries
564 player_info = player_info_data(request)
566 player = player_info['player'].to_dict()
569 for game in player_info['games_played']:
570 games_played[game.game_type_cd] = to_json(game)
573 for gt,stats in player_info['overall_stats'].items():
574 overall_stats[gt] = to_json(stats)
577 for gt,elo in player_info['elos'].items():
578 elos[gt] = to_json(elo.to_dict())
581 for gt,rank in player_info['ranks'].items():
582 ranks[gt] = to_json(rank)
585 for gt,mapinfo in player_info['fav_maps'].items():
586 fav_maps[gt] = to_json(mapinfo)
589 for game in player_info['recent_games']:
590 recent_games.append(to_json(game))
592 #recent_weapons = player_info['recent_weapons']
596 'games_played': games_played,
597 'overall_stats': overall_stats,
598 'fav_maps': fav_maps,
601 'recent_games': recent_games,
602 # 'recent_weapons': recent_weapons,
603 'recent_weapons': ['not implemented'],
605 #return [{'status':'not implemented'}]
608 def player_game_index_data(request):
609 player_id = request.matchdict['player_id']
612 game_type_descr = None
614 if request.params.has_key('type'):
615 game_type_cd = request.params['type']
617 game_type_descr = DBSession.query(GameType.descr).\
618 filter(GameType.game_type_cd == game_type_cd).\
620 except Exception as e:
625 game_type_descr = None
627 if request.params.has_key('page'):
628 current_page = request.params['page']
633 player = DBSession.query(Player).\
634 filter_by(player_id=player_id).\
635 filter(Player.active_ind == True).\
638 rgs_q = recent_games_q(player_id=player.player_id,
639 force_player_id=True, game_type_cd=game_type_cd)
641 games = Page(rgs_q, current_page, items_per_page=20, url=page_url)
643 # replace the items in the canned pagination class with more rich ones
644 games.items = [RecentGame(row) for row in games.items]
646 games_played = get_games_played(player_id)
648 except Exception as e:
652 game_type_descr = None
656 'player_id':player.player_id,
659 'game_type_cd':game_type_cd,
660 'game_type_descr':game_type_descr,
661 'games_played':games_played,
665 def player_game_index(request):
667 Provides an index of the games in which a particular
668 player was involved. This is ordered by game_id, with
669 the most recent game_ids first. Paginated.
671 return player_game_index_data(request)
674 def player_game_index_json(request):
676 Provides an index of the games in which a particular
677 player was involved. This is ordered by game_id, with
678 the most recent game_ids first. Paginated. JSON.
680 return [{'status':'not implemented'}]
683 def player_accuracy_data(request):
684 player_id = request.matchdict['id']
685 allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']
689 if request.params.has_key('weapon'):
690 if request.params['weapon'] in allowed_weapons:
691 weapon_cd = request.params['weapon']
693 if request.params.has_key('games'):
695 games = request.params['games']
704 (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)
706 # if we don't have enough data for the given weapon
707 if len(accs) < games:
711 'player_id':player_id,
712 'player_url':request.route_url('player_info', id=player_id),
720 def player_accuracy(request):
722 Provides the accuracy for the given weapon. (JSON only)
724 return player_accuracy_data(request)
727 def player_accuracy_json(request):
729 Provides a JSON response representing the accuracy for the given weapon.
732 weapon = which weapon to display accuracy for. Valid values are 'nex',
733 'shotgun', 'uzi', and 'minstanex'.
734 games = over how many games to display accuracy. Can be up to 50.
736 return player_accuracy_data(request)
739 def player_damage_data(request):
740 player_id = request.matchdict['id']
741 allowed_weapons = ['grenadelauncher', 'electro', 'crylink', 'hagar',
742 'rocketlauncher', 'laser']
743 weapon_cd = 'rocketlauncher'
746 if request.params.has_key('weapon'):
747 if request.params['weapon'] in allowed_weapons:
748 weapon_cd = request.params['weapon']
750 if request.params.has_key('games'):
752 games = request.params['games']
761 (avg, dmgs) = get_damage_stats(player_id, weapon_cd, games)
763 # if we don't have enough data for the given weapon
764 if len(dmgs) < games:
768 'player_id':player_id,
769 'player_url':request.route_url('player_info', id=player_id),
777 def player_damage_json(request):
779 Provides a JSON response representing the damage for the given weapon.
782 weapon = which weapon to display damage for. Valid values are
783 'grenadelauncher', 'electro', 'crylink', 'hagar', 'rocketlauncher',
785 games = over how many games to display damage. Can be up to 50.
787 return player_damage_data(request)
790 def player_hashkey_info_data(request):
791 (idfp, status) = verify_request(request)
793 # if config is to *not* verify requests and we get nothing back, this
794 # query will return nothing and we'll 404.
796 player = DBSession.query(Player).\
797 filter(Player.player_id == Hashkey.player_id).\
798 filter(Player.active_ind == True).\
799 filter(Hashkey.hashkey == idfp).one()
801 games_played = get_games_played(player.player_id)
802 overall_stats = get_overall_stats(player.player_id)
803 fav_maps = get_fav_maps(player.player_id)
804 elos = get_elos(player.player_id)
805 ranks = get_ranks(player.player_id)
806 most_recent_game = get_recent_games(player.player_id, 1)[0]
808 except Exception as e:
809 raise pyramid.httpexceptions.HTTPNotFound
811 return {'player':player,
813 'games_played':games_played,
814 'overall_stats':overall_stats,
818 'most_recent_game':most_recent_game,
822 def player_hashkey_info_json(request):
824 Provides detailed information on a specific player. JSON.
827 # All player_info fields are converted into JSON-formattable dictionaries
828 player_info = player_hashkey_info_data(request)
830 player = player_info['player'].to_dict()
833 for game in player_info['games_played']:
834 games_played[game.game_type_cd] = to_json(game)
837 for gt,stats in player_info['overall_stats'].items():
838 overall_stats[gt] = to_json(stats)
841 for gt,elo in player_info['elos'].items():
842 elos[gt] = to_json(elo.to_dict())
845 for gt,rank in player_info['ranks'].items():
846 ranks[gt] = to_json(rank)
849 for gt,mapinfo in player_info['fav_maps'].items():
850 fav_maps[gt] = to_json(mapinfo)
852 most_recent_game = to_json(player_info['most_recent_game'])
857 'games_played': games_played,
858 'overall_stats': overall_stats,
859 'fav_maps': fav_maps,
862 'most_recent_game': most_recent_game,
866 def player_hashkey_info_text(request):
868 Provides detailed information on a specific player. Plain text.
871 now = timegm(datetime.datetime.utcnow().timetuple())
873 # All player_info fields are converted into JSON-formattable dictionaries
874 player_info = player_hashkey_info_data(request)
876 # gather all of the data up into aggregate structures
877 player = player_info['player']
878 games_played = player_info['games_played']
879 overall_stats = player_info['overall_stats']
880 elos = player_info['elos']
881 ranks = player_info['ranks']
882 fav_maps = player_info['fav_maps']
883 most_recent_game = player_info['most_recent_game']
885 # one-offs for things needing conversion for text/plain
886 player_joined = timegm(player.create_dt.timetuple())
887 player_joined_dt = player.create_dt
888 alivetime = int(datetime_seconds(overall_stats['overall'].total_playing_time))
890 # this is a plain text response, if we don't do this here then
891 # Pyramid will assume html
892 request.response.content_type = 'text/plain'
898 'hashkey': player_info['hashkey'],
899 'player_joined': player_joined,
900 'player_joined_dt': player_joined_dt,
901 'games_played': games_played,
902 'overall_stats': overall_stats,
903 'alivetime': alivetime,
904 'fav_maps': fav_maps,
907 'most_recent_game': most_recent_game,
911 def player_elo_info_data(request):
913 Provides elo information on a specific player. Raw data is returned.
915 hashkey = request.matchdict['hashkey']
916 print "player_elo_info_data [hashkey={0}]".format(hashkey)
918 player = DBSession.query(Player).\
919 filter(Player.player_id == Hashkey.player_id).\
920 filter(Player.active_ind == True).\
921 filter(Hashkey.hashkey == hashkey).one()
923 elos = get_elos(player.player_id)
925 except Exception as e:
927 raise pyramid.httpexceptions.HTTPNotFound
936 def player_elo_info_json(request):
938 Provides elo information on a specific player. JSON.
940 elo_info = player_elo_info_data(request)
942 player = player_info['player'].to_dict()
945 for gt, elo in elo_info['elos'].items():
946 elos[gt] = to_json(elo.to_dict())
955 def player_elo_info_text(request):
957 Provides elo information on a specific player. Plain text.
960 now = timegm(datetime.datetime.utcnow().timetuple())
962 # All player_info fields are converted into JSON-formattable dictionaries
963 elo_info = player_elo_info_data(request)
965 # this is a plain text response, if we don't do this here then
966 # Pyramid will assume html
967 request.response.content_type = 'text/plain'
972 'hashkey': elo_info['hashkey'],
973 'player': elo_info['player'],
974 'elos': elo_info['elos'],
978 def player_captimes_data(request):
979 player_id = int(request.matchdict['id'])
983 PlayerCaptimes = namedtuple('PlayerCaptimes', ['fastest_cap', 'create_dt', 'create_dt_epoch', 'create_dt_fuzzy',
984 'player_id', 'game_id', 'map_id', 'map_name', 'server_id', 'server_name'])
986 dbquery = DBSession.query('fastest_cap', 'create_dt', 'player_id', 'game_id', 'map_id',
987 'map_name', 'server_id', 'server_name').\
989 "SELECT ct.fastest_cap, "
996 "s.name server_name "
997 "FROM player_map_captimes ct, "
1001 "WHERE ct.player_id = :player_id "
1002 "AND g.game_id = ct.game_id "
1003 "AND g.server_id = s.server_id "
1004 "AND m.map_id = ct.map_id "
1005 #"ORDER BY ct.fastest_cap "
1006 "ORDER BY ct.create_dt desc"
1007 ).params(player_id=player_id).all()
1009 player = DBSession.query(Player).filter_by(player_id=player_id).one()
1011 player_captimes = []
1013 player_captimes.append(PlayerCaptimes(
1014 fastest_cap=row.fastest_cap,
1015 create_dt=row.create_dt,
1016 create_dt_epoch=timegm(row.create_dt.timetuple()),
1017 create_dt_fuzzy=pretty_date(row.create_dt),
1018 player_id=row.player_id,
1019 game_id=row.game_id,
1021 map_name=row.map_name,
1022 server_id=row.server_id,
1023 server_name=row.server_name,
1027 'captimes':player_captimes,
1028 'player_id':player_id,
1029 'player_url':request.route_url('player_info', id=player_id),
1033 def player_captimes(request):
1034 return player_captimes_data(request)
1036 def player_captimes_json(request):
1037 return player_captimes_data(request)
1040 def player_nvd3_damage(request):
1041 player_id = int(request.matchdict['id'])
1046 if request.params.has_key("game_type"):
1047 game_type_cd = request.params["game_type"]
1050 if request.params.has_key("limit"):
1051 limit = int(request.params["limit"])
1058 return { "player_id": player_id,
1059 "game_type_cd": game_type_cd,
1063 def player_damage_data_v2(request):
1064 player_id = request.matchdict["id"]
1069 if request.params.has_key("game_type"):
1070 game_type_cd = request.params["game_type"]
1073 if request.params.has_key("limit"):
1074 limit = int(request.params["limit"])
1081 games_raw = DBSession.query(sa.distinct(Game.game_id)).\
1082 filter(Game.game_id == PlayerWeaponStat.game_id).\
1083 filter(PlayerWeaponStat.player_id == player_id)
1085 if game_type_cd is not None:
1086 games_raw = games_raw.filter(Game.game_type_cd == game_type_cd)
1088 games_raw = games_raw.order_by(Game.game_id.desc()).limit(limit).all()
1090 weapon_stats_raw = DBSession.query(PlayerWeaponStat).\
1091 filter(PlayerWeaponStat.player_id == player_id).\
1092 filter(PlayerWeaponStat.game_id.in_(games_raw)).all()
1094 # NVD3 expects data points for all weapons used across the
1095 # set of games *for each* point on the x axis. This means populating
1096 # zero-valued weapon stat entries for games where a weapon was not
1097 # used in that game, but was used in another game for the set
1098 games_to_weapons = {}
1100 for ws in weapon_stats_raw:
1101 if ws.game_id not in games_to_weapons:
1102 games_to_weapons[ws.game_id] = [ws.weapon_cd]
1104 games_to_weapons[ws.game_id].append(ws.weapon_cd)
1106 if ws.weapon_cd not in weapons_used:
1107 weapons_used.append(ws.weapon_cd)
1109 for game_id in games_to_weapons.keys():
1110 for weapon_cd in set(weapons_used) - set(games_to_weapons[game_id]):
1111 log.debug("Inserting zero value for game_id {0} weapon {1}".format(game_id, weapon_cd))
1112 weapon_stats_raw.append(PlayerWeaponStat(player_id=player_id,
1113 game_id=game_id, weapon_cd=weapon_cd))
1116 weapon_stats_raw = sorted(weapon_stats_raw, key=lambda x: x.game_id)
1117 games = sorted(games_to_weapons.keys())
1118 weapon_stats = [ws.to_dict() for ws in weapon_stats_raw]
1120 log.debug(games_to_weapons)
1121 log.debug(weapons_used)
1125 "weapon_stats": weapon_stats,
1126 "weapons_used": weapons_used,