import datetime
-import json
import logging
-import re
+import pyramid.httpexceptions
import sqlalchemy as sa
import sqlalchemy.sql.functions as func
-import time
+from calendar import timegm
from collections import namedtuple
-from pyramid.response import Response
-from pyramid.url import current_route_url
-from sqlalchemy import desc, distinct
-from webhelpers.paginate import Page, PageURL
+from webhelpers.paginate import Page
from xonstat.models import *
-from xonstat.util import page_url
+from xonstat.util import page_url, to_json, pretty_date, datetime_seconds
+from xonstat.util import is_cake_day
+from xonstat.views.helpers import RecentGame, recent_games_q
log = logging.getLogger(__name__)
filter(sa.not_(Player.nick.like('Anonymous Player%'))).\
order_by(Player.player_id.desc())
- players = Page(player_q, current_page, items_per_page=10, url=page_url)
+ players = Page(player_q, current_page, items_per_page=25, url=page_url)
except Exception as e:
players = None
"g.game_type_cd, "
"CASE "
"WHEN g.winner = pgs.team THEN 1 "
- "WHEN pgs.rank = 1 THEN 1 "
+ "WHEN pgs.scoreboardpos = 1 THEN 1 "
"ELSE 0 "
"END win, "
"CASE "
"WHEN g.winner = pgs.team THEN 0 "
- "WHEN pgs.rank = 1 THEN 0 "
+ "WHEN pgs.scoreboardpos = 1 THEN 0 "
"ELSE 1 "
"END loss "
"FROM games g, "
overall_games += games
overall_wins += row.wins
overall_losses += row.losses
- win_pct = float(row.wins)/games
+ win_pct = float(row.wins)/games * 100
games_played.append(GamesPlayed(row.game_type_cd, games, row.wins,
row.losses, win_pct))
try:
- overall_win_pct = float(overall_wins)/overall_games
+ overall_win_pct = float(overall_wins)/overall_games * 100
except:
overall_win_pct = 0.0
- total_deaths
- k_d_ratio
- last_played (last time the player played the game type)
+ - last_played_epoch (same as above, but in seconds since epoch)
+ - last_played_fuzzy (same as above, but in relative date)
- total_playing_time (total amount of time played the game type)
+ - total_playing_time_secs (same as the above, but in seconds)
- total_pickups (ctf only)
- total_captures (ctf only)
- cap_ratio (ctf only)
- total_carrier_frags (ctf only)
- game_type_cd
+ - game_type_descr
The key to the dictionary is the game type code. There is also an
"overall" game_type_cd which sums the totals and computes the total ratios.
"""
OverallStats = namedtuple('OverallStats', ['total_kills', 'total_deaths',
- 'k_d_ratio', 'last_played', 'total_playing_time', 'total_pickups',
- 'total_captures', 'cap_ratio', 'total_carrier_frags', 'game_type_cd'])
+ 'k_d_ratio', 'last_played', 'last_played_epoch', 'last_played_fuzzy',
+ 'total_playing_time', 'total_playing_time_secs', 'total_pickups', 'total_captures', 'cap_ratio',
+ 'total_carrier_frags', 'game_type_cd', 'game_type_descr'])
- raw_stats = DBSession.query('game_type_cd', 'total_kills',
- 'total_deaths', 'last_played', 'total_playing_time',
+ raw_stats = DBSession.query('game_type_cd', 'game_type_descr',
+ 'total_kills', 'total_deaths', 'last_played', 'total_playing_time',
'total_pickups', 'total_captures', 'total_carrier_frags').\
from_statement(
"SELECT g.game_type_cd, "
+ "gt.descr game_type_descr, "
"Sum(pgs.kills) total_kills, "
"Sum(pgs.deaths) total_deaths, "
"Max(pgs.create_dt) last_played, "
"Sum(pgs.captures) total_captures, "
"Sum(pgs.carrier_frags) total_carrier_frags "
"FROM games g, "
+ "cd_game_type gt, "
"player_game_stats pgs "
"WHERE g.game_id = pgs.game_id "
+ "AND g.game_type_cd = gt.game_type_cd "
"AND pgs.player_id = :player_id "
- "GROUP BY g.game_type_cd "
+ "GROUP BY g.game_type_cd, game_type_descr "
+ "UNION "
+ "SELECT 'overall' game_type_cd, "
+ "'Overall' game_type_descr, "
+ "Sum(pgs.kills) total_kills, "
+ "Sum(pgs.deaths) total_deaths, "
+ "Max(pgs.create_dt) last_played, "
+ "Sum(pgs.alivetime) total_playing_time, "
+ "Sum(pgs.pickups) total_pickups, "
+ "Sum(pgs.captures) total_captures, "
+ "Sum(pgs.carrier_frags) total_carrier_frags "
+ "FROM player_game_stats pgs "
+ "WHERE pgs.player_id = :player_id "
).params(player_id=player_id).all()
# to be indexed by game_type_cd
overall_stats = {}
- # sums for the "overall" game type (which is fake)
- overall_kills = 0
- overall_deaths = 0
- overall_last_played = None
- overall_playing_time = datetime.timedelta(seconds=0)
- overall_carrier_frags = 0
-
for row in raw_stats:
- # running totals or mins
- overall_kills += row.total_kills or 0
- overall_deaths += row.total_deaths or 0
-
- if overall_last_played is None or row.last_played > overall_last_played:
- overall_last_played = row.last_played
-
- overall_playing_time += row.total_playing_time
-
# individual gametype ratio calculations
try:
k_d_ratio = float(row.total_kills)/row.total_deaths
k_d_ratio = None
try:
- cap_ratio = float(row.total_pickups)/row.total_captures
+ cap_ratio = float(row.total_captures)/row.total_pickups
except:
cap_ratio = None
- overall_carrier_frags += row.total_carrier_frags or 0
-
# everything else is untouched or "raw"
os = OverallStats(total_kills=row.total_kills,
total_deaths=row.total_deaths,
k_d_ratio=k_d_ratio,
last_played=row.last_played,
+ last_played_epoch=timegm(row.last_played.timetuple()),
+ last_played_fuzzy=pretty_date(row.last_played),
total_playing_time=row.total_playing_time,
+ total_playing_time_secs=int(datetime_seconds(row.total_playing_time)),
total_pickups=row.total_pickups,
total_captures=row.total_captures,
cap_ratio=cap_ratio,
total_carrier_frags=row.total_carrier_frags,
- game_type_cd=row.game_type_cd)
+ game_type_cd=row.game_type_cd,
+ game_type_descr=row.game_type_descr)
overall_stats[row.game_type_cd] = os
- # and lastly, the overall stuff
- try:
- overall_k_d_ratio = float(overall_kills)/overall_deaths
- except:
- overall_k_d_ratio = None
+ # We have to edit "overall" stats to exclude deaths in CTS.
+ # Although we still want to record deaths, they shouldn't
+ # count towards the overall K:D ratio.
+ if 'cts' in overall_stats:
+ os = overall_stats['overall']
- os = OverallStats(total_kills=overall_kills,
- total_deaths=overall_deaths,
- k_d_ratio=overall_k_d_ratio,
- last_played=overall_last_played,
- total_playing_time=overall_playing_time,
- total_pickups=None,
- total_captures=None,
- cap_ratio=None,
- total_carrier_frags=overall_carrier_frags,
- game_type_cd='overall')
+ try:
+ k_d_ratio = float(os.total_kills)/(os.total_deaths - overall_stats['cts'].total_deaths)
+ except:
+ k_d_ratio = None
- overall_stats['overall'] = os
+ non_cts_deaths = os.total_deaths - overall_stats['cts'].total_deaths
+
+
+ overall_stats['overall'] = OverallStats(
+ total_kills = os.total_kills,
+ total_deaths = non_cts_deaths,
+ k_d_ratio = k_d_ratio,
+ last_played = os.last_played,
+ last_played_epoch = os.last_played_epoch,
+ last_played_fuzzy = os.last_played_fuzzy,
+ total_playing_time = os.total_playing_time,
+ total_playing_time_secs = os.total_playing_time_secs,
+ total_pickups = os.total_pickups,
+ total_captures = os.total_captures,
+ cap_ratio = os.cap_ratio,
+ total_carrier_frags = os.total_carrier_frags,
+ game_type_cd = os.game_type_cd,
+ game_type_descr = os.game_type_descr)
return overall_stats
defined as the favorite map of the game type you've played the
most. The input parameter game_type_cd is for this.
"""
+ FavMap = namedtuple('FavMap', ['map_name', 'map_id', 'times_played', 'game_type_cd'])
+
raw_favs = DBSession.query('game_type_cd', 'map_name',
'map_id', 'times_played').\
from_statement(
fav_maps = {}
overall_fav = None
for row in raw_favs:
+ fv = FavMap(map_name=row.map_name,
+ map_id=row.map_id,
+ times_played=row.times_played,
+ game_type_cd=row.game_type_cd)
+
# if we aren't given a favorite game_type_cd
# then the overall favorite is the one we've
# played the most
if overall_fav is None:
- fav_maps['overall'] = row
- overall_fav = row.game_type_cd
+ fav_maps['overall'] = fv
+ overall_fav = fv.game_type_cd
# otherwise it is the favorite map from the
# favorite game_type_cd (provided as a param)
# and we'll overwrite the first dict entry
- if game_type_cd == row.game_type_cd:
- fav_maps['overall'] = row
+ if game_type_cd == fv.game_type_cd:
+ fav_maps['overall'] = fv
- fav_maps[row.game_type_cd] = row
+ fav_maps[row.game_type_cd] = fv
return fav_maps
The key to the dictionary is the game type code. There is also an
"overall" game_type_cd which is the overall best rank.
"""
+ Rank = namedtuple('Rank', ['rank', 'max_rank', 'percentile', 'game_type_cd'])
+
raw_ranks = DBSession.query("game_type_cd", "rank", "max_rank").\
from_statement(
"select pr.game_type_cd, pr.rank, overall.max_rank "
ranks = {}
found_top_rank = False
for row in raw_ranks:
+ rank = Rank(rank=row.rank,
+ max_rank=row.max_rank,
+ percentile=100 - 100*float(row.rank-1)/(row.max_rank-1),
+ game_type_cd=row.game_type_cd)
+
+
if not found_top_rank:
- ranks['overall'] = row
+ ranks['overall'] = rank
found_top_rank = True
+ elif rank.percentile > ranks['overall'].percentile:
+ ranks['overall'] = rank
- ranks[row.game_type_cd] = row
+ ranks[row.game_type_cd] = rank
return ranks;
def get_recent_games(player_id):
"""
- Provides a list of recent games.
-
- Returns the full PlayerGameStat, Game, Server, Map
- objects for all recent games.
+ Provides a list of recent games for a player. Uses the recent_games_q helper.
"""
- # recent games table, all data
- recent_games = DBSession.query(PlayerGameStat, Game, Server, Map).\
- filter(PlayerGameStat.player_id == player_id).\
- filter(PlayerGameStat.game_id == Game.game_id).\
- filter(Game.server_id == Server.server_id).\
- filter(Game.map_id == Map.map_id).\
- order_by(Game.game_id.desc())[0:10]
+ # recent games played in descending order
+ rgs = recent_games_q(player_id=player_id, force_player_id=True).limit(10).all()
+ recent_games = [RecentGame(row) for row in rgs]
return recent_games
return recent_weapons
-def _get_games_played(player_id):
- """
- Provides a breakdown by gametype of the games played by player_id.
-
- Returns a tuple containing (total_games, games_breakdown), where
- total_games is the absolute number of games played by player_id
- and games_breakdown is an array containing (game_type_cd, # games)
- """
- games_played = DBSession.query(Game.game_type_cd, func.count()).\
- filter(Game.game_id == PlayerGameStat.game_id).\
- filter(PlayerGameStat.player_id == player_id).\
- group_by(Game.game_type_cd).\
- order_by(func.count().desc()).all()
-
- total = 0
- for (game_type_cd, games) in games_played:
- total += games
-
- return (total, games_played)
-
-
-# TODO: should probably factor the above function into this one such that
-# total_stats['ctf_games'] is the count of CTF games and so on...
-def _get_total_stats(player_id):
- """
- Provides aggregated stats by player_id.
-
- Returns a dict with the keys 'kills', 'deaths', 'alivetime'.
-
- kills = how many kills a player has over all games
- deaths = how many deaths a player has over all games
- alivetime = how long a player has played over all games
-
- If any of the above are None, they are set to 0.
- """
- total_stats = {}
- (total_stats['kills'], total_stats['deaths'], total_stats['alivetime']) = DBSession.\
- query("total_kills", "total_deaths", "total_alivetime").\
- from_statement(
- "select sum(kills) total_kills, "
- "sum(deaths) total_deaths, "
- "sum(alivetime) total_alivetime "
- "from player_game_stats "
- "where player_id=:player_id"
- ).params(player_id=player_id).one()
-
- (total_stats['wins'],) = DBSession.\
- query("total_wins").\
- from_statement(
- "select count(*) total_wins "
- "from games g, player_game_stats pgs "
- "where g.game_id = pgs.game_id "
- "and player_id=:player_id "
- "and (g.winner = pgs.team or pgs.rank = 1)"
- ).params(player_id=player_id).one()
-
- for (key,value) in total_stats.items():
- if value == None:
- total_stats[key] = 0
-
- return total_stats
-
-
-def _get_fav_maps(player_id):
- """
- Get the player's favorite map. The favorite map is defined
- as the map that he or she has played the most with game
- types considered separate. This is to say that if a person
- plays dm and duel on stormkeep with 25 games in each mode,
- final_rage could still be the favorite map overall if it has
- 26 dm games.
-
- Returns a dictionary with entries for each played game type.
- Each game type ditionary value contained a nested dictionary
- with the following keys:
- id = the favorite map id
- name = the favorite map's name
- times_played = the number of times the map was played in that mode
-
- Note also that there's a superficial "overall" game type that is
- meant to hold the top map overall. It'll be a dupe of one of the
- other game types' nested dictionary.
- """
- fav_maps = {}
- for (game_type_cd, name, map_id, times_played) in DBSession.\
- query("game_type_cd", "name", "map_id", "times_played").\
- from_statement(
- "SELECT game_type_cd, "
- "name, "
- "map_id, "
- "times_played "
- "FROM (SELECT g.game_type_cd, "
- "m.name, "
- "m.map_id, "
- "count(*) times_played, "
- "row_number() "
- "over ( "
- "PARTITION BY g.game_type_cd "
- "ORDER BY Count(*) DESC, m.map_id ASC) rank "
- "FROM games g, "
- "player_game_stats pgs, "
- "maps m "
- "WHERE g.game_id = pgs.game_id "
- "AND g.map_id = m.map_id "
- "AND pgs.player_id = :player_id "
- "GROUP BY g.game_type_cd, "
- "m.map_id, "
- "m.name) most_played "
- "WHERE rank = 1"
- ).params(player_id=player_id).all():
- fav_map_detail = {}
- fav_map_detail['name'] = name
- fav_map_detail['map_id'] = map_id
- fav_map_detail['times_played'] = times_played
- fav_maps[game_type_cd] = fav_map_detail
-
- max_played = 0
- overall = {}
- for fav_map_detail in fav_maps.values():
- if fav_map_detail['times_played'] > max_played:
- max_played = fav_map_detail['times_played']
- overall = fav_map_detail
-
- fav_maps['overall'] = overall
-
- return fav_maps
-
-
-def _get_rank(player_id):
- """
- Get the player's rank as well as the total number of ranks.
- """
- rank = DBSession.query("game_type_cd", "rank", "max_rank").\
- from_statement(
- "select pr.game_type_cd, pr.rank, overall.max_rank "
- "from player_ranks pr, "
- "(select game_type_cd, max(rank) max_rank "
- "from player_ranks "
- "group by game_type_cd) overall "
- "where pr.game_type_cd = overall.game_type_cd "
- "and player_id = :player_id "
- "order by rank").\
- params(player_id=player_id).all()
-
- return rank;
-
-
def get_accuracy_stats(player_id, weapon_cd, games):
"""
Provides accuracy for weapon_cd by player_id for the past N games.
# Determine the raw accuracy (hit, fired) numbers for $games games
# This is then enumerated to create parameters for a flot graph
- raw_accs = DBSession.query(PlayerWeaponStat.game_id,
+ raw_accs = DBSession.query(PlayerWeaponStat.game_id,
PlayerWeaponStat.hit, PlayerWeaponStat.fired).\
filter(PlayerWeaponStat.player_id == player_id).\
filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
# Determine the damage efficiency (hit, fired) numbers for $games games
# This is then enumerated to create parameters for a flot graph
- raw_dmgs = DBSession.query(PlayerWeaponStat.game_id,
+ raw_dmgs = DBSession.query(PlayerWeaponStat.game_id,
PlayerWeaponStat.actual, PlayerWeaponStat.hit).\
filter(PlayerWeaponStat.player_id == player_id).\
filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
ranks = get_ranks(player_id)
recent_games = get_recent_games(player_id)
recent_weapons = get_recent_weapons(player_id)
+ cake_day = is_cake_day(player.create_dt)
except Exception as e:
player = None
ranks = None
recent_games = None
recent_weapons = []
+ cake_day = False
+ ## do not raise exceptions here (only for debugging)
+ # raise e
return {'player':player,
'games_played':games_played,
'elos':elos,
'ranks':ranks,
'recent_games':recent_games,
- 'recent_weapons':recent_weapons
+ 'recent_weapons':recent_weapons,
+ 'cake_day':cake_day,
}
"""
Provides detailed information on a specific player
"""
+ return player_info_data(request)
+
+
+def player_info_json(request):
+ """
+ Provides detailed information on a specific player. JSON.
+ """
+
+ # All player_info fields are converted into JSON-formattable dictionaries
player_info = player_info_data(request)
- player = player_info['player']
- games_played = player_info['games_played']
- overall_stats = player_info['overall_stats']
- fav_maps = player_info['fav_maps']
- elos = player_info['elos']
- ranks = player_info['ranks']
- recent_games = player_info['recent_games']
- recent_weapons = player_info['recent_weapons']
-
- # holds all of the tab content data
- stat_strings = {}
- for g in games_played:
- stat_strings[g.game_type_cd] = []
-
- # last seen, playing time
- for k,v in overall_stats.iteritems():
- stat_strings[k].append({'Last Played':v.last_played})
- stat_strings[k].\
- append({'Playing Time':v.total_playing_time})
-
- # games played, win ratio
- for g in games_played:
- stat_strings[g.game_type_cd].append({'Games Played':g.games})
- stat_strings[g.game_type_cd].\
- append({'Win Pct':'{0} ({1} wins, {2} losses'.\
- format(g.win_pct, g.wins, g.losses)})
-
- # kill ratio
- for k,v in overall_stats.iteritems():
- stat_strings[k].\
- append({'Kill Ratio':'{0} ({1} kills, {2} deaths)'.\
- format(v.k_d_ratio, v.total_kills, v.total_deaths)})
-
- # favorite maps
- for k,v in fav_maps.iteritems():
- stat_strings[k].append({'Favorite Map':v.map_name})
-
- # elos
- for k,v in elos.iteritems():
- try:
- stat_strings[k].append({'Elo':v.elo})
- except:
- pass
+ player = player_info['player'].to_dict()
- # ranks
- for k,v in ranks.iteritems():
- try:
- stat_strings[k].append({'Rank':'{0} of {1}'.\
- format(v.rank, v.max_rank)})
- except:
- pass
+ games_played = {}
+ for game in player_info['games_played']:
+ games_played[game.game_type_cd] = to_json(game)
- print stat_strings
+ overall_stats = {}
+ for gt,stats in player_info['overall_stats'].items():
+ overall_stats[gt] = to_json(stats)
- return player_info
+ elos = {}
+ for gt,elo in player_info['elos'].items():
+ elos[gt] = to_json(elo.to_dict())
+ ranks = {}
+ for gt,rank in player_info['ranks'].items():
+ ranks[gt] = to_json(rank)
-def player_info_json(request):
- """
- Provides detailed information on a specific player. JSON.
- """
- return [{'status':'not implemented'}]
+ fav_maps = {}
+ for gt,mapinfo in player_info['fav_maps'].items():
+ fav_maps[gt] = to_json(mapinfo)
+
+ recent_games = []
+ for game in player_info['recent_games']:
+ recent_games.append(to_json(game))
+
+ #recent_weapons = player_info['recent_weapons']
+
+ return [{
+ 'player': player,
+ 'games_played': games_played,
+ 'overall_stats': overall_stats,
+ 'fav_maps': fav_maps,
+ 'elos': elos,
+ 'ranks': ranks,
+ 'recent_games': recent_games,
+ # 'recent_weapons': recent_weapons,
+ 'recent_weapons': ['not implemented'],
+ }]
+ #return [{'status':'not implemented'}]
def player_game_index_data(request):
player_id = request.matchdict['player_id']
+ game_type_cd = None
+ game_type_descr = None
+
+ if request.params.has_key('type'):
+ game_type_cd = request.params['type']
+ try:
+ game_type_descr = DBSession.query(GameType.descr).\
+ filter(GameType.game_type_cd == game_type_cd).\
+ one()[0]
+ except Exception as e:
+ pass
+
+ else:
+ game_type_cd = None
+ game_type_descr = None
+
if request.params.has_key('page'):
current_page = request.params['page']
else:
current_page = 1
try:
- games_q = DBSession.query(Game, Server, Map).\
- filter(PlayerGameStat.game_id == Game.game_id).\
- filter(PlayerGameStat.player_id == player_id).\
- filter(Game.server_id == Server.server_id).\
- filter(Game.map_id == Map.map_id).\
- order_by(Game.game_id.desc())
-
- games = Page(games_q, current_page, items_per_page=10, url=page_url)
-
- pgstats = {}
- for (game, server, map) in games:
- pgstats[game.game_id] = DBSession.query(PlayerGameStat).\
- filter(PlayerGameStat.game_id == game.game_id).\
- order_by(PlayerGameStat.rank).\
- order_by(PlayerGameStat.score).all()
+ player = DBSession.query(Player).\
+ filter_by(player_id=player_id).\
+ filter(Player.active_ind == True).\
+ one()
+
+ rgs_q = recent_games_q(player_id=player.player_id,
+ force_player_id=True, game_type_cd=game_type_cd)
+
+ games = Page(rgs_q, current_page, items_per_page=20, url=page_url)
+
+ # replace the items in the canned pagination class with more rich ones
+ games.items = [RecentGame(row) for row in games.items]
+
+ games_played = get_games_played(player_id)
except Exception as e:
player = None
games = None
+ game_type_cd = None
+ game_type_descr = None
+ games_played = None
- return {'player_id':player_id,
+ return {
+ 'player_id':player.player_id,
+ 'player':player,
'games':games,
- 'pgstats':pgstats}
+ 'game_type_cd':game_type_cd,
+ 'game_type_descr':game_type_descr,
+ 'games_played':games_played,
+ }
def player_game_index(request):
games = len(accs)
return {
- 'player_id':player_id,
- 'player_url':request.route_url('player_info', id=player_id),
- 'weapon':weapon_cd,
- 'games':games,
- 'avg':avg,
+ 'player_id':player_id,
+ 'player_url':request.route_url('player_info', id=player_id),
+ 'weapon':weapon_cd,
+ 'games':games,
+ 'avg':avg,
'accs':accs
}
games = len(dmgs)
return {
- 'player_id':player_id,
- 'player_url':request.route_url('player_info', id=player_id),
- 'weapon':weapon_cd,
- 'games':games,
- 'avg':avg,
+ 'player_id':player_id,
+ 'player_url':request.route_url('player_info', id=player_id),
+ 'weapon':weapon_cd,
+ 'games':games,
+ 'avg':avg,
'dmgs':dmgs
}
games = over how many games to display damage. Can be up to 50.
"""
return player_damage_data(request)
+
+
+def player_hashkey_info_data(request):
+ hashkey = request.matchdict['hashkey']
+ try:
+ player = DBSession.query(Player).\
+ filter(Player.player_id == Hashkey.player_id).\
+ filter(Player.active_ind == True).\
+ filter(Hashkey.hashkey == hashkey).one()
+
+ games_played = get_games_played(player.player_id)
+ overall_stats = get_overall_stats(player.player_id)
+ fav_maps = get_fav_maps(player.player_id)
+ elos = get_elos(player.player_id)
+ ranks = get_ranks(player.player_id)
+
+ except Exception as e:
+ raise pyramid.httpexceptions.HTTPNotFound
+
+ return {'player':player,
+ 'hashkey':hashkey,
+ 'games_played':games_played,
+ 'overall_stats':overall_stats,
+ 'fav_maps':fav_maps,
+ 'elos':elos,
+ 'ranks':ranks,
+ }
+
+
+def player_hashkey_info_json(request):
+ """
+ Provides detailed information on a specific player. JSON.
+ """
+
+ # All player_info fields are converted into JSON-formattable dictionaries
+ player_info = player_hashkey_info_data(request)
+
+ player = player_info['player'].to_dict()
+
+ games_played = {}
+ for game in player_info['games_played']:
+ games_played[game.game_type_cd] = to_json(game)
+
+ overall_stats = {}
+ for gt,stats in player_info['overall_stats'].items():
+ overall_stats[gt] = to_json(stats)
+
+ elos = {}
+ for gt,elo in player_info['elos'].items():
+ elos[gt] = to_json(elo.to_dict())
+
+ ranks = {}
+ for gt,rank in player_info['ranks'].items():
+ ranks[gt] = to_json(rank)
+
+ fav_maps = {}
+ for gt,mapinfo in player_info['fav_maps'].items():
+ fav_maps[gt] = to_json(mapinfo)
+
+ return [{
+ 'version': 1,
+ 'player': player,
+ 'games_played': games_played,
+ 'overall_stats': overall_stats,
+ 'fav_maps': fav_maps,
+ 'elos': elos,
+ 'ranks': ranks,
+ }]
+
+
+def player_hashkey_info_text(request):
+ """
+ Provides detailed information on a specific player. Plain text.
+ """
+ # UTC epoch
+ now = timegm(datetime.datetime.utcnow().timetuple())
+
+ # All player_info fields are converted into JSON-formattable dictionaries
+ player_info = player_hashkey_info_data(request)
+
+ # gather all of the data up into aggregate structures
+ player = player_info['player']
+ games_played = player_info['games_played']
+ overall_stats = player_info['overall_stats']
+ elos = player_info['elos']
+ ranks = player_info['ranks']
+ fav_maps = player_info['fav_maps']
+
+ # one-offs for things needing conversion for text/plain
+ player_joined = timegm(player.create_dt.timetuple())
+ alivetime = int(datetime_seconds(overall_stats['overall'].total_playing_time))
+
+ # this is a plain text response, if we don't do this here then
+ # Pyramid will assume html
+ request.response.content_type = 'text/plain'
+
+ return {
+ 'version': 1,
+ 'now': now,
+ 'player': player,
+ 'hashkey': player_info['hashkey'],
+ 'player_joined': player_joined,
+ 'games_played': games_played,
+ 'overall_stats': overall_stats,
+ 'alivetime': alivetime,
+ 'fav_maps': fav_maps,
+ 'elos': elos,
+ 'ranks': ranks,
+ }
+
+
+def player_elo_info_data(request):
+ """
+ Provides elo information on a specific player. Raw data is returned.
+ """
+ hashkey = request.matchdict['hashkey']
+ try:
+ player = DBSession.query(Player).\
+ filter(Player.player_id == Hashkey.player_id).\
+ filter(Player.active_ind == True).\
+ filter(Hashkey.hashkey == hashkey).one()
+
+ elos = get_elos(player.player_id)
+
+ except Exception as e:
+ log.debug(e)
+ raise pyramid.httpexceptions.HTTPNotFound
+
+ return {'elos':elos}
+
+
+def player_elo_info_json(request):
+ """
+ Provides elo information on a specific player. JSON.
+ """
+ elo_info = player_elo_info_data(request)
+
+ elos = {}
+ for gt, elo in elo_info['elos'].items():
+ elos[gt] = to_json(elo.to_dict())
+
+ return [{
+ 'version': 1,
+ 'elos': elos,
+ }]
+
+def player_captimes_data(request):
+ player_id = int(request.matchdict['id'])
+ if player_id <= 2:
+ player_id = -1;
+
+ PlayerCaptimes = namedtuple('PlayerCaptimes', ['fastest_cap', 'create_dt', 'create_dt_epoch', 'create_dt_fuzzy',
+ 'player_id', 'game_id', 'map_id', 'map_name', 'server_id', 'server_name'])
+
+ dbquery = DBSession.query('fastest_cap', 'create_dt', 'player_id', 'game_id', 'map_id',
+ 'map_name', 'server_id', 'server_name').\
+ from_statement(
+ "SELECT ct.fastest_cap, "
+ "ct.create_dt, "
+ "ct.player_id, "
+ "ct.game_id, "
+ "ct.map_id, "
+ "m.name map_name, "
+ "g.server_id, "
+ "s.name server_name "
+ "FROM player_map_captimes ct, "
+ "games g, "
+ "maps m, "
+ "servers s "
+ "WHERE ct.player_id = :player_id "
+ "AND g.game_id = ct.game_id "
+ "AND g.server_id = s.server_id "
+ "AND m.map_id = ct.map_id "
+ #"ORDER BY ct.fastest_cap "
+ "ORDER BY ct.create_dt desc"
+ ).params(player_id=player_id).all()
+
+ player = DBSession.query(Player).filter_by(player_id=player_id).one()
+
+ player_captimes = []
+ for row in dbquery:
+ player_captimes.append(PlayerCaptimes(
+ fastest_cap=row.fastest_cap,
+ create_dt=row.create_dt,
+ create_dt_epoch=timegm(row.create_dt.timetuple()),
+ create_dt_fuzzy=pretty_date(row.create_dt),
+ player_id=row.player_id,
+ game_id=row.game_id,
+ map_id=row.map_id,
+ map_name=row.map_name,
+ server_id=row.server_id,
+ server_name=row.server_name,
+ ))
+
+ return {
+ 'captimes':player_captimes,
+ 'player_id':player_id,
+ 'player_url':request.route_url('player_info', id=player_id),
+ 'player':player,
+ }
+
+def player_captimes(request):
+ return player_captimes_data(request)
+
+def player_captimes_json(request):
+ return player_captimes_data(request)