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.views.helpers import RecentGame, recent_games_q
13 log = logging.getLogger(__name__)
16 def player_index_data(request):
17 if request.params.has_key('page'):
18 current_page = request.params['page']
23 player_q = DBSession.query(Player).\
24 filter(Player.player_id > 2).\
25 filter(Player.active_ind == True).\
26 filter(sa.not_(Player.nick.like('Anonymous Player%'))).\
27 order_by(Player.player_id.desc())
29 players = Page(player_q, current_page, items_per_page=25, url=page_url)
31 except Exception as e:
35 return {'players':players
39 def player_index(request):
41 Provides a list of all the current players.
43 return player_index_data(request)
46 def player_index_json(request):
48 Provides a list of all the current players. JSON.
50 return [{'status':'not implemented'}]
53 def get_games_played(player_id):
55 Provides a breakdown by gametype of the games played by player_id.
57 Returns a list of namedtuples with the following members:
64 The list itself is ordered by the number of games played
66 GamesPlayed = namedtuple('GamesPlayed', ['game_type_cd', 'games', 'wins',
69 raw_games_played = DBSession.query('game_type_cd', 'wins', 'losses').\
71 "SELECT game_type_cd, "
74 "FROM (SELECT g.game_id, "
77 "WHEN g.winner = pgs.team THEN 1 "
78 "WHEN pgs.rank = 1 THEN 1 "
82 "WHEN g.winner = pgs.team THEN 0 "
83 "WHEN pgs.rank = 1 THEN 0 "
87 "player_game_stats pgs "
88 "WHERE g.game_id = pgs.game_id "
89 "AND pgs.player_id = :player_id) win_loss "
90 "GROUP BY game_type_cd "
91 ).params(player_id=player_id).all()
97 for row in raw_games_played:
98 games = row.wins + row.losses
99 overall_games += games
100 overall_wins += row.wins
101 overall_losses += row.losses
102 win_pct = float(row.wins)/games * 100
104 games_played.append(GamesPlayed(row.game_type_cd, games, row.wins,
105 row.losses, win_pct))
108 overall_win_pct = float(overall_wins)/overall_games * 100
110 overall_win_pct = 0.0
112 games_played.append(GamesPlayed('overall', overall_games, overall_wins,
113 overall_losses, overall_win_pct))
115 # sort the resulting list by # of games played
116 games_played = sorted(games_played, key=lambda x:x.games)
117 games_played.reverse()
121 def get_overall_stats(player_id):
123 Provides a breakdown of stats by gametype played by player_id.
125 Returns a dictionary of namedtuples with the following members:
129 - last_played (last time the player played the game type)
130 - last_played_epoch (same as above, but in seconds since epoch)
131 - last_played_fuzzy (same as above, but in relative date)
132 - total_playing_time (total amount of time played the game type)
133 - total_playing_time_secs (same as the above, but in seconds)
134 - total_pickups (ctf only)
135 - total_captures (ctf only)
136 - cap_ratio (ctf only)
137 - total_carrier_frags (ctf only)
140 The key to the dictionary is the game type code. There is also an
141 "overall" game_type_cd which sums the totals and computes the total ratios.
143 OverallStats = namedtuple('OverallStats', ['total_kills', 'total_deaths',
144 'k_d_ratio', 'last_played', 'last_played_epoch', 'last_played_fuzzy',
145 'total_playing_time', 'total_playing_time_secs', 'total_pickups', 'total_captures', 'cap_ratio',
146 'total_carrier_frags', 'game_type_cd'])
148 raw_stats = DBSession.query('game_type_cd', 'total_kills',
149 'total_deaths', 'last_played', 'total_playing_time',
150 'total_pickups', 'total_captures', 'total_carrier_frags').\
152 "SELECT g.game_type_cd, "
153 "Sum(pgs.kills) total_kills, "
154 "Sum(pgs.deaths) total_deaths, "
155 "Max(pgs.create_dt) last_played, "
156 "Sum(pgs.alivetime) total_playing_time, "
157 "Sum(pgs.pickups) total_pickups, "
158 "Sum(pgs.captures) total_captures, "
159 "Sum(pgs.carrier_frags) total_carrier_frags "
161 "player_game_stats pgs "
162 "WHERE g.game_id = pgs.game_id "
163 "AND pgs.player_id = :player_id "
164 "GROUP BY g.game_type_cd "
166 "SELECT 'overall' game_type_cd, "
167 "Sum(pgs.kills) total_kills, "
168 "Sum(pgs.deaths) total_deaths, "
169 "Max(pgs.create_dt) last_played, "
170 "Sum(pgs.alivetime) total_playing_time, "
171 "Sum(pgs.pickups) total_pickups, "
172 "Sum(pgs.captures) total_captures, "
173 "Sum(pgs.carrier_frags) total_carrier_frags "
175 "player_game_stats pgs "
176 "WHERE g.game_id = pgs.game_id "
177 "AND pgs.player_id = :player_id "
178 ).params(player_id=player_id).all()
180 # to be indexed by game_type_cd
183 for row in raw_stats:
184 # individual gametype ratio calculations
186 k_d_ratio = float(row.total_kills)/row.total_deaths
191 cap_ratio = float(row.total_captures)/row.total_pickups
195 # everything else is untouched or "raw"
196 os = OverallStats(total_kills=row.total_kills,
197 total_deaths=row.total_deaths,
199 last_played=row.last_played,
200 last_played_epoch=timegm(row.last_played.timetuple()),
201 last_played_fuzzy=pretty_date(row.last_played),
202 total_playing_time=row.total_playing_time,
203 total_playing_time_secs=int(datetime_seconds(row.total_playing_time)),
204 total_pickups=row.total_pickups,
205 total_captures=row.total_captures,
207 total_carrier_frags=row.total_carrier_frags,
208 game_type_cd=row.game_type_cd)
210 overall_stats[row.game_type_cd] = os
212 # We have to edit "overall" stats to exclude deaths in CTS.
213 # Although we still want to record deaths, they shouldn't
214 # count towards the overall K:D ratio.
215 if 'cts' in overall_stats:
216 os = overall_stats['overall']
219 k_d_ratio = float(os.total_kills)/(os.total_deaths - overall_stats['cts'].total_deaths)
223 non_cts_deaths = os.total_deaths - overall_stats['cts'].total_deaths
226 overall_stats['overall'] = OverallStats(
227 total_kills = os.total_kills,
228 total_deaths = non_cts_deaths,
229 k_d_ratio = k_d_ratio,
230 last_played = os.last_played,
231 last_played_epoch = os.last_played_epoch,
232 last_played_fuzzy = os.last_played_fuzzy,
233 total_playing_time = os.total_playing_time,
234 total_playing_time_secs = os.total_playing_time_secs,
235 total_pickups = os.total_pickups,
236 total_captures = os.total_captures,
237 cap_ratio = os.cap_ratio,
238 total_carrier_frags = os.total_carrier_frags,
239 game_type_cd = os.game_type_cd)
244 def get_fav_maps(player_id, game_type_cd=None):
246 Provides a breakdown of favorite maps by gametype.
248 Returns a dictionary of namedtuples with the following members:
250 - map_name (map name)
254 The favorite map is defined as the map you've played the most
255 for the given game_type_cd.
257 The key to the dictionary is the game type code. There is also an
258 "overall" game_type_cd which is the overall favorite map. This is
259 defined as the favorite map of the game type you've played the
260 most. The input parameter game_type_cd is for this.
262 FavMap = namedtuple('FavMap', ['map_name', 'map_id', 'times_played', 'game_type_cd'])
264 raw_favs = DBSession.query('game_type_cd', 'map_name',
265 'map_id', 'times_played').\
267 "SELECT game_type_cd, "
271 "FROM (SELECT g.game_type_cd, "
274 "Count(*) times_played, "
277 "partition BY g.game_type_cd "
278 "ORDER BY Count(*) DESC, m.map_id ASC) rank "
280 "player_game_stats pgs, "
282 "WHERE g.game_id = pgs.game_id "
283 "AND g.map_id = m.map_id "
284 "AND pgs.player_id = :player_id "
285 "GROUP BY g.game_type_cd, "
287 "m.name) most_played "
289 "ORDER BY times_played desc "
290 ).params(player_id=player_id).all()
295 fv = FavMap(map_name=row.map_name,
297 times_played=row.times_played,
298 game_type_cd=row.game_type_cd)
300 # if we aren't given a favorite game_type_cd
301 # then the overall favorite is the one we've
303 if overall_fav is None:
304 fav_maps['overall'] = fv
305 overall_fav = fv.game_type_cd
307 # otherwise it is the favorite map from the
308 # favorite game_type_cd (provided as a param)
309 # and we'll overwrite the first dict entry
310 if game_type_cd == fv.game_type_cd:
311 fav_maps['overall'] = fv
313 fav_maps[row.game_type_cd] = fv
318 def get_ranks(player_id):
320 Provides a breakdown of the player's ranks by game type.
322 Returns a dictionary of namedtuples with the following members:
327 The key to the dictionary is the game type code. There is also an
328 "overall" game_type_cd which is the overall best rank.
330 Rank = namedtuple('Rank', ['rank', 'max_rank', 'percentile', 'game_type_cd'])
332 raw_ranks = DBSession.query("game_type_cd", "rank", "max_rank").\
334 "select pr.game_type_cd, pr.rank, overall.max_rank "
335 "from player_ranks pr, "
336 "(select game_type_cd, max(rank) max_rank "
338 "group by game_type_cd) overall "
339 "where pr.game_type_cd = overall.game_type_cd "
340 "and player_id = :player_id "
342 params(player_id=player_id).all()
345 found_top_rank = False
346 for row in raw_ranks:
347 rank = Rank(rank=row.rank,
348 max_rank=row.max_rank,
349 percentile=100 - 100*float(row.rank)/row.max_rank,
350 game_type_cd=row.game_type_cd)
353 if not found_top_rank:
354 ranks['overall'] = rank
355 found_top_rank = True
356 elif rank.percentile > ranks['overall'].percentile:
357 ranks['overall'] = rank
359 ranks[row.game_type_cd] = rank
364 def get_elos(player_id):
366 Provides a breakdown of the player's elos by game type.
368 Returns a dictionary of namedtuples with the following members:
374 The key to the dictionary is the game type code. There is also an
375 "overall" game_type_cd which is the overall best rank.
377 raw_elos = DBSession.query(PlayerElo).filter_by(player_id=player_id).\
378 order_by(PlayerElo.elo.desc()).all()
381 found_max_elo = False
383 if not found_max_elo:
384 elos['overall'] = row
387 elos[row.game_type_cd] = row
392 def get_recent_games(player_id):
394 Provides a list of recent games for a player. Uses the recent_games_q helper.
396 # recent games played in descending order
397 rgs = recent_games_q(player_id=player_id).limit(10).all()
398 recent_games = [RecentGame(row) for row in rgs]
403 def get_recent_weapons(player_id):
405 Returns the weapons that have been used in the past 90 days
406 and also used in 5 games or more.
408 cutoff = datetime.datetime.utcnow() - datetime.timedelta(days=90)
410 for weapon in DBSession.query(PlayerWeaponStat.weapon_cd, func.count()).\
411 filter(PlayerWeaponStat.player_id == player_id).\
412 filter(PlayerWeaponStat.create_dt > cutoff).\
413 group_by(PlayerWeaponStat.weapon_cd).\
414 having(func.count() > 4).\
416 recent_weapons.append(weapon[0])
418 return recent_weapons
421 def get_accuracy_stats(player_id, weapon_cd, games):
423 Provides accuracy for weapon_cd by player_id for the past N games.
425 # Reaching back 90 days should give us an accurate enough average
426 # We then multiply this out for the number of data points (games) to
427 # create parameters for a flot graph
429 raw_avg = DBSession.query(func.sum(PlayerWeaponStat.hit),
430 func.sum(PlayerWeaponStat.fired)).\
431 filter(PlayerWeaponStat.player_id == player_id).\
432 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
435 avg = round(float(raw_avg[0])/raw_avg[1]*100, 2)
437 # Determine the raw accuracy (hit, fired) numbers for $games games
438 # This is then enumerated to create parameters for a flot graph
439 raw_accs = DBSession.query(PlayerWeaponStat.game_id,
440 PlayerWeaponStat.hit, PlayerWeaponStat.fired).\
441 filter(PlayerWeaponStat.player_id == player_id).\
442 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
443 order_by(PlayerWeaponStat.game_id.desc()).\
447 # they come out in opposite order, so flip them in the right direction
451 for i in range(len(raw_accs)):
452 accs.append((raw_accs[i][0], round(float(raw_accs[i][1])/raw_accs[i][2]*100, 2)))
460 def get_damage_stats(player_id, weapon_cd, games):
462 Provides damage info for weapon_cd by player_id for the past N games.
465 raw_avg = DBSession.query(func.sum(PlayerWeaponStat.actual),
466 func.sum(PlayerWeaponStat.hit)).\
467 filter(PlayerWeaponStat.player_id == player_id).\
468 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
471 avg = round(float(raw_avg[0])/raw_avg[1], 2)
473 # Determine the damage efficiency (hit, fired) numbers for $games games
474 # This is then enumerated to create parameters for a flot graph
475 raw_dmgs = DBSession.query(PlayerWeaponStat.game_id,
476 PlayerWeaponStat.actual, PlayerWeaponStat.hit).\
477 filter(PlayerWeaponStat.player_id == player_id).\
478 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
479 order_by(PlayerWeaponStat.game_id.desc()).\
483 # they come out in opposite order, so flip them in the right direction
487 for i in range(len(raw_dmgs)):
488 # try to derive, unless we've hit nothing then set to 0!
490 dmg = round(float(raw_dmgs[i][1])/raw_dmgs[i][2], 2)
494 dmgs.append((raw_dmgs[i][0], dmg))
495 except Exception as e:
502 def player_info_data(request):
503 player_id = int(request.matchdict['id'])
508 player = DBSession.query(Player).filter_by(player_id=player_id).\
509 filter(Player.active_ind == True).one()
511 games_played = get_games_played(player_id)
512 overall_stats = get_overall_stats(player_id)
513 fav_maps = get_fav_maps(player_id)
514 elos = get_elos(player_id)
515 ranks = get_ranks(player_id)
516 recent_games = get_recent_games(player_id)
517 recent_weapons = get_recent_weapons(player_id)
519 except Exception as e:
529 return {'player':player,
530 'games_played':games_played,
531 'overall_stats':overall_stats,
535 'recent_games':recent_games,
536 'recent_weapons':recent_weapons
540 def player_info(request):
542 Provides detailed information on a specific player
544 return player_info_data(request)
547 def player_info_json(request):
549 Provides detailed information on a specific player. JSON.
552 # All player_info fields are converted into JSON-formattable dictionaries
553 player_info = player_info_data(request)
555 player = player_info['player'].to_dict()
558 for game in player_info['games_played']:
559 games_played[game.game_type_cd] = to_json(game)
562 for gt,stats in player_info['overall_stats'].items():
563 overall_stats[gt] = to_json(stats)
566 for gt,elo in player_info['elos'].items():
567 elos[gt] = to_json(elo.to_dict())
570 for gt,rank in player_info['ranks'].items():
571 ranks[gt] = to_json(rank)
574 for gt,mapinfo in player_info['fav_maps'].items():
575 fav_maps[gt] = to_json(mapinfo)
578 for game in player_info['recent_games']:
579 recent_games.append(to_json(game))
581 #recent_weapons = player_info['recent_weapons']
585 'games_played': games_played,
586 'overall_stats': overall_stats,
587 'fav_maps': fav_maps,
590 'recent_games': recent_games,
591 # 'recent_weapons': recent_weapons,
592 'recent_weapons': ['not implemented'],
594 #return [{'status':'not implemented'}]
597 def player_game_index_data(request):
598 player_id = request.matchdict['player_id']
600 if request.params.has_key('page'):
601 current_page = request.params['page']
606 player = DBSession.query(Player).filter_by(player_id=player_id).\
607 filter(Player.active_ind == True).one()
609 rgs_q = recent_games_q(player_id=player.player_id)
611 games = Page(rgs_q, current_page, items_per_page=10, url=page_url)
613 # replace the items in the canned pagination class with more rich ones
614 games.items = [RecentGame(row) for row in games.items]
616 except Exception as e:
621 'player_id':player.player_id,
627 def player_game_index(request):
629 Provides an index of the games in which a particular
630 player was involved. This is ordered by game_id, with
631 the most recent game_ids first. Paginated.
633 return player_game_index_data(request)
636 def player_game_index_json(request):
638 Provides an index of the games in which a particular
639 player was involved. This is ordered by game_id, with
640 the most recent game_ids first. Paginated. JSON.
642 return [{'status':'not implemented'}]
645 def player_accuracy_data(request):
646 player_id = request.matchdict['id']
647 allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']
651 if request.params.has_key('weapon'):
652 if request.params['weapon'] in allowed_weapons:
653 weapon_cd = request.params['weapon']
655 if request.params.has_key('games'):
657 games = request.params['games']
666 (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)
668 # if we don't have enough data for the given weapon
669 if len(accs) < games:
673 'player_id':player_id,
674 'player_url':request.route_url('player_info', id=player_id),
682 def player_accuracy(request):
684 Provides the accuracy for the given weapon. (JSON only)
686 return player_accuracy_data(request)
689 def player_accuracy_json(request):
691 Provides a JSON response representing the accuracy for the given weapon.
694 weapon = which weapon to display accuracy for. Valid values are 'nex',
695 'shotgun', 'uzi', and 'minstanex'.
696 games = over how many games to display accuracy. Can be up to 50.
698 return player_accuracy_data(request)
701 def player_damage_data(request):
702 player_id = request.matchdict['id']
703 allowed_weapons = ['grenadelauncher', 'electro', 'crylink', 'hagar',
704 'rocketlauncher', 'laser']
705 weapon_cd = 'rocketlauncher'
708 if request.params.has_key('weapon'):
709 if request.params['weapon'] in allowed_weapons:
710 weapon_cd = request.params['weapon']
712 if request.params.has_key('games'):
714 games = request.params['games']
723 (avg, dmgs) = get_damage_stats(player_id, weapon_cd, games)
725 # if we don't have enough data for the given weapon
726 if len(dmgs) < games:
730 'player_id':player_id,
731 'player_url':request.route_url('player_info', id=player_id),
739 def player_damage_json(request):
741 Provides a JSON response representing the damage for the given weapon.
744 weapon = which weapon to display damage for. Valid values are
745 'grenadelauncher', 'electro', 'crylink', 'hagar', 'rocketlauncher',
747 games = over how many games to display damage. Can be up to 50.
749 return player_damage_data(request)
752 def player_hashkey_info_data(request):
753 hashkey = request.matchdict['hashkey']
755 player = DBSession.query(Player).\
756 filter(Player.player_id == Hashkey.player_id).\
757 filter(Player.active_ind == True).\
758 filter(Hashkey.hashkey == hashkey).one()
760 games_played = get_games_played(player.player_id)
761 overall_stats = get_overall_stats(player.player_id)
762 fav_maps = get_fav_maps(player.player_id)
763 elos = get_elos(player.player_id)
764 ranks = get_ranks(player.player_id)
766 except Exception as e:
767 raise pyramid.httpexceptions.HTTPNotFound
769 return {'player':player,
771 'games_played':games_played,
772 'overall_stats':overall_stats,
779 def player_hashkey_info_json(request):
781 Provides detailed information on a specific player. JSON.
784 # All player_info fields are converted into JSON-formattable dictionaries
785 player_info = player_hashkey_info_data(request)
787 player = player_info['player'].to_dict()
790 for game in player_info['games_played']:
791 games_played[game.game_type_cd] = to_json(game)
794 for gt,stats in player_info['overall_stats'].items():
795 overall_stats[gt] = to_json(stats)
798 for gt,elo in player_info['elos'].items():
799 elos[gt] = to_json(elo.to_dict())
802 for gt,rank in player_info['ranks'].items():
803 ranks[gt] = to_json(rank)
806 for gt,mapinfo in player_info['fav_maps'].items():
807 fav_maps[gt] = to_json(mapinfo)
812 'games_played': games_played,
813 'overall_stats': overall_stats,
814 'fav_maps': fav_maps,
820 def player_hashkey_info_text(request):
822 Provides detailed information on a specific player. Plain text.
825 now = timegm(datetime.datetime.utcnow().timetuple())
827 # All player_info fields are converted into JSON-formattable dictionaries
828 player_info = player_hashkey_info_data(request)
830 # gather all of the data up into aggregate structures
831 player = player_info['player']
832 games_played = player_info['games_played']
833 overall_stats = player_info['overall_stats']
834 elos = player_info['elos']
835 ranks = player_info['ranks']
836 fav_maps = player_info['fav_maps']
838 # one-offs for things needing conversion for text/plain
839 player_joined = timegm(player.create_dt.timetuple())
840 alivetime = int(datetime_seconds(overall_stats['overall'].total_playing_time))
842 # this is a plain text response, if we don't do this here then
843 # Pyramid will assume html
844 request.response.content_type = 'text/plain'
850 'hashkey': player_info['hashkey'],
851 'player_joined': player_joined,
852 'games_played': games_played,
853 'overall_stats': overall_stats,
854 'alivetime': alivetime,
855 'fav_maps': fav_maps,
861 def player_elo_info_data(request):
863 Provides elo information on a specific player. Raw data is returned.
865 hashkey = request.matchdict['hashkey']
867 player = DBSession.query(Player).\
868 filter(Player.player_id == Hashkey.player_id).\
869 filter(Player.active_ind == True).\
870 filter(Hashkey.hashkey == hashkey).one()
872 elos = get_elos(player.player_id)
874 except Exception as e:
876 raise pyramid.httpexceptions.HTTPNotFound
881 def player_elo_info_json(request):
883 Provides elo information on a specific player. JSON.
885 elo_info = player_elo_info_data(request)
888 for gt, elo in elo_info['elos'].items():
889 elos[gt] = to_json(elo.to_dict())
896 def player_captimes_data(request):
897 player_id = int(request.matchdict['id'])
901 #player_captimes = DBSession.query(PlayerCaptime).\
902 # filter(PlayerCaptime.player_id==player_id).\
903 # order_by(PlayerCaptime.fastest_cap).\
906 PlayerCaptimes = namedtuple('PlayerCaptimes', ['fastest_cap', 'create_dt', 'create_dt_epoch', 'create_dt_fuzzy',
907 'player_id', 'game_id', 'map_id', 'map_name', 'server_id', 'server_name'])
909 dbquery = DBSession.query('fastest_cap', 'create_dt', 'player_id', 'game_id', 'map_id',
910 'map_name', 'server_id', 'server_name').\
912 "SELECT ct.fastest_cap, "
919 "s.name server_name "
920 "FROM player_map_captimes ct, "
924 "WHERE ct.player_id = :player_id "
925 "AND g.game_id = ct.game_id "
926 "AND g.server_id = s.server_id "
927 "AND m.map_id = ct.map_id "
928 #"ORDER BY ct.fastest_cap "
929 "ORDER BY ct.create_dt desc"
930 ).params(player_id=player_id).all()
932 player = DBSession.query(Player).filter_by(player_id=player_id).one()
936 player_captimes.append(PlayerCaptimes(
937 fastest_cap=row.fastest_cap,
938 create_dt=row.create_dt,
939 create_dt_epoch=timegm(row.create_dt.timetuple()),
940 create_dt_fuzzy=pretty_date(row.create_dt),
941 player_id=row.player_id,
944 map_name=row.map_name,
945 server_id=row.server_id,
946 server_name=row.server_name,
950 'captimes':player_captimes,
951 'player_id':player_id,
952 'player_url':request.route_url('player_info', id=player_id),
956 def player_captimes(request):
957 return player_captimes_data(request)
959 def player_captimes_json(request):
960 return player_captimes_data(request)