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Dummy json views
[xonotic/xonstat.git] / xonstat / views / player.py
1 import datetime
2 import json
3 import logging
4 import re
5 import sqlalchemy as sa
6 import sqlalchemy.sql.functions as func
7 import time
8 from pyramid.response import Response
9 from pyramid.url import current_route_url
10 from sqlalchemy import desc, distinct
11 from webhelpers.paginate import Page, PageURL
12 from xonstat.models import *
13 from xonstat.util import page_url
14
15 log = logging.getLogger(__name__)
16
17
18 def _player_index_data(request):
19     if request.params.has_key('page'):
20         current_page = request.params['page']
21     else:
22         current_page = 1
23
24     try:
25         player_q = DBSession.query(Player).\
26                 filter(Player.player_id > 2).\
27                 filter(Player.active_ind == True).\
28                 filter(sa.not_(Player.nick.like('Anonymous Player%'))).\
29                 order_by(Player.player_id.desc())
30
31         players = Page(player_q, current_page, items_per_page=10, url=page_url)
32
33     except Exception as e:
34         players = None
35         raise e
36
37     return {'players':players
38            }
39
40
41 def player_index(request):
42     """
43     Provides a list of all the current players.
44     """
45     return _player_index_data(request)
46
47
48 def player_index_json(request):
49     """
50     Provides a list of all the current players. JSON.
51     """
52     return [{'status':'not implemented'}]
53
54
55 def _get_games_played(player_id):
56     """
57     Provides a breakdown by gametype of the games played by player_id.
58
59     Returns a tuple containing (total_games, games_breakdown), where
60     total_games is the absolute number of games played by player_id
61     and games_breakdown is an array containing (game_type_cd, # games)
62     """
63     games_played = DBSession.query(Game.game_type_cd, func.count()).\
64             filter(Game.game_id == PlayerGameStat.game_id).\
65             filter(PlayerGameStat.player_id == player_id).\
66             group_by(Game.game_type_cd).\
67             order_by(func.count().desc()).all()
68
69     total = 0
70     for (game_type_cd, games) in games_played:
71         total += games
72
73     return (total, games_played)
74
75
76 # TODO: should probably factor the above function into this one such that
77 # total_stats['ctf_games'] is the count of CTF games and so on...
78 def _get_total_stats(player_id):
79     """
80     Provides aggregated stats by player_id.
81
82     Returns a dict with the keys 'kills', 'deaths', 'alivetime'.
83
84     kills = how many kills a player has over all games
85     deaths = how many deaths a player has over all games
86     alivetime = how long a player has played over all games
87
88     If any of the above are None, they are set to 0.
89     """
90     total_stats = {}
91     (total_stats['kills'], total_stats['deaths'], total_stats['alivetime']) = DBSession.\
92             query("total_kills", "total_deaths", "total_alivetime").\
93             from_statement(
94                 "select sum(kills) total_kills, "
95                 "sum(deaths) total_deaths, "
96                 "sum(alivetime) total_alivetime "
97                 "from player_game_stats "
98                 "where player_id=:player_id"
99             ).params(player_id=player_id).one()
100
101     (total_stats['wins'],) = DBSession.\
102             query("total_wins").\
103             from_statement(
104                 "select count(*) total_wins "
105                 "from games g, player_game_stats pgs "
106                 "where g.game_id = pgs.game_id "
107                 "and player_id=:player_id "
108                 "and (g.winner = pgs.team or pgs.rank = 1)"
109             ).params(player_id=player_id).one()
110
111     for (key,value) in total_stats.items():
112         if value == None:
113             total_stats[key] = 0
114
115     return total_stats
116
117
118 def get_accuracy_stats(player_id, weapon_cd, games):
119     """
120     Provides accuracy for weapon_cd by player_id for the past N games.
121     """
122     # Reaching back 90 days should give us an accurate enough average
123     # We then multiply this out for the number of data points (games) to
124     # create parameters for a flot graph
125     try:
126         raw_avg = DBSession.query(func.sum(PlayerWeaponStat.hit),
127                 func.sum(PlayerWeaponStat.fired)).\
128                 filter(PlayerWeaponStat.player_id == player_id).\
129                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
130                 one()
131
132         avg = round(float(raw_avg[0])/raw_avg[1]*100, 2)
133
134         # Determine the raw accuracy (hit, fired) numbers for $games games
135         # This is then enumerated to create parameters for a flot graph
136         raw_accs = DBSession.query(PlayerWeaponStat.game_id, 
137             PlayerWeaponStat.hit, PlayerWeaponStat.fired).\
138                 filter(PlayerWeaponStat.player_id == player_id).\
139                 filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
140                 order_by(PlayerWeaponStat.game_id.desc()).\
141                 limit(games).\
142                 all()
143
144         # they come out in opposite order, so flip them in the right direction
145         raw_accs.reverse()
146
147         accs = []
148         for i in range(len(raw_accs)):
149             accs.append((raw_accs[i][0], round(float(raw_accs[i][1])/raw_accs[i][2]*100, 2)))
150     except:
151         accs = []
152         avg = 0.0
153
154     return (avg, accs)
155
156
157 def _player_info_data(request):
158     player_id = int(request.matchdict['id'])
159     if player_id <= 2:
160         player_id = -1;
161
162     try:
163         player = DBSession.query(Player).filter_by(player_id=player_id).\
164                 filter(Player.active_ind == True).one()
165
166         # games played, alivetime, wins, kills, deaths
167         total_stats = _get_total_stats(player.player_id)
168
169         # games breakdown - N games played (X ctf, Y dm) etc
170         (total_games, games_breakdown) = _get_games_played(player.player_id)
171
172
173         # friendly display of elo information and preliminary status
174         elos = DBSession.query(PlayerElo).filter_by(player_id=player_id).\
175                 filter(PlayerElo.game_type_cd.in_(['ctf','duel','dm'])).\
176                 order_by(PlayerElo.elo.desc()).all()
177
178         elos_display = []
179         for elo in elos:
180             if elo.games > 32:
181                 str = "{0} ({1})"
182             else:
183                 str = "{0}* ({1})"
184
185             elos_display.append(str.format(round(elo.elo, 3),
186                 elo.game_type_cd))
187
188         # which weapons have been used in the past 90 days
189         # and also, used in 5 games or more?
190         back_then = datetime.datetime.utcnow() - datetime.timedelta(days=90)
191         recent_weapons = []
192         for weapon in DBSession.query(PlayerWeaponStat.weapon_cd, func.count()).\
193                 filter(PlayerWeaponStat.player_id == player_id).\
194                 filter(PlayerWeaponStat.create_dt > back_then).\
195                 group_by(PlayerWeaponStat.weapon_cd).\
196                 having(func.count() > 4).\
197                 all():
198                     recent_weapons.append(weapon[0])
199
200         # recent games table, all data
201         recent_games = DBSession.query(PlayerGameStat, Game, Server, Map).\
202                 filter(PlayerGameStat.player_id == player_id).\
203                 filter(PlayerGameStat.game_id == Game.game_id).\
204                 filter(Game.server_id == Server.server_id).\
205                 filter(Game.map_id == Map.map_id).\
206                 order_by(Game.game_id.desc())[0:10]
207
208     except Exception as e:
209         player = None
210         elos_display = None
211         total_stats = None
212         recent_games = None
213         total_games = None
214         games_breakdown = None
215         recent_weapons = []
216
217     return {'player':player,
218             'elos_display':elos_display,
219             'recent_games':recent_games,
220             'total_stats':total_stats,
221             'total_games':total_games,
222             'games_breakdown':games_breakdown,
223             'recent_weapons':recent_weapons,
224             }
225
226
227 def player_info(request):
228     """
229     Provides detailed information on a specific player
230     """
231     return _player_info_data(request)
232
233
234 def player_info_json(request):
235     """
236     Provides detailed information on a specific player. JSON.
237     """
238     return [{'status':'not implemented'}]
239
240
241 def _player_game_index_data(request):
242     player_id = request.matchdict['player_id']
243
244     if request.params.has_key('page'):
245         current_page = request.params['page']
246     else:
247         current_page = 1
248
249     try:
250         games_q = DBSession.query(Game, Server, Map).\
251             filter(PlayerGameStat.game_id == Game.game_id).\
252             filter(PlayerGameStat.player_id == player_id).\
253             filter(Game.server_id == Server.server_id).\
254             filter(Game.map_id == Map.map_id).\
255             order_by(Game.game_id.desc())
256
257         games = Page(games_q, current_page, items_per_page=10, url=page_url)
258
259         pgstats = {}
260         for (game, server, map) in games:
261             pgstats[game.game_id] = DBSession.query(PlayerGameStat).\
262                     filter(PlayerGameStat.game_id == game.game_id).\
263                     order_by(PlayerGameStat.rank).\
264                     order_by(PlayerGameStat.score).all()
265
266     except Exception as e:
267         player = None
268         games = None
269
270     return {'player_id':player_id,
271             'games':games,
272             'pgstats':pgstats}
273
274
275 def player_game_index(request):
276     """
277     Provides an index of the games in which a particular
278     player was involved. This is ordered by game_id, with
279     the most recent game_ids first. Paginated.
280     """
281     return _player_game_index_data(request)
282
283
284 def player_game_index_json(request):
285     """
286     Provides an index of the games in which a particular
287     player was involved. This is ordered by game_id, with
288     the most recent game_ids first. Paginated. JSON.
289     """
290     return [{'status':'not implemented'}]
291
292
293 def _player_accuracy_data(request):
294     player_id = request.matchdict['id']
295     allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']
296     weapon_cd = 'nex'
297     games = 20
298
299     if request.params.has_key('weapon'):
300         if request.params['weapon'] in allowed_weapons:
301             weapon_cd = request.params['weapon']
302
303     if request.params.has_key('games'):
304         try:
305             games = request.params['games']
306
307             if games < 0:
308                 games = 20
309             if games > 50:
310                 games = 50
311         except:
312             games = 20
313
314     (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)
315
316     # if we don't have enough data for the given weapon
317     if len(accs) < games:
318         games = len(accs)
319
320     return {
321             'player_id':player_id, 
322             'player_url':request.route_url('player_info', id=player_id), 
323             'weapon':weapon_cd, 
324             'games':games, 
325             'avg':avg, 
326             'accs':accs
327             }
328
329
330 def player_accuracy(request):
331     """
332     Provides the accuracy for the given weapon. (JSON only)
333     """
334     return _player_accuracy_data(request)
335
336
337 def player_accuracy_json(request):
338     """
339     Provides a JSON response representing the accuracy for the given weapon.
340
341     Parameters:
342        weapon = which weapon to display accuracy for. Valid values are 'nex',
343                 'shotgun', 'uzi', and 'minstanex'.
344        games = over how many games to display accuracy. Can be up to 50.
345     """
346     return _player_accuracy_data(request)