import datetime
-import json
import logging
-import re
+import pyramid.httpexceptions
import sqlalchemy as sa
import sqlalchemy.sql.functions as func
-import time
-from pyramid.response import Response
-from pyramid.url import current_route_url
-from sqlalchemy import desc, distinct
-from webhelpers.paginate import Page, PageURL
+import sqlalchemy.sql.expression as expr
+from calendar import timegm
+from collections import namedtuple
+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, verify_request
+from xonstat.views.helpers import RecentGame, recent_games_q
+from urllib import unquote
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
return [{'status':'not implemented'}]
-def _get_games_played(player_id):
+def get_games_played(player_id):
"""
- DEPRECATED: Now included in _get_total_stats()
-
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)
-
-
-def _get_total_stats(player_id):
- """
- Provides aggregated stats by player_id.
-
- Returns a dict with the keys 'kills', 'deaths', 'alivetime'.
-
- games = how many games a player has played
- games_breakdown = how many games of given type a player has played (dictionary)
- games_alivetime = how many time a player has spent in a give game type (dictionary)
- kills = how many kills a player has over all games
- deaths = how many deaths a player has over all games
- suicides = how many suicides a player has over all games
- alivetime = how long a player has played over all games
- alivetime_week = how long a player has played over all games in the last week
- alivetime_month = how long a player has played over all games in the last month
- wins = how many games a player has won
-
- If any of the above are None, they are set to 0.
- """
- # 7 and 30 day windows
- one_week_ago = datetime.datetime.utcnow() - datetime.timedelta(days=7)
- one_month_ago = datetime.datetime.utcnow() - datetime.timedelta(days=30)
-
- total_stats = {}
-
- games_played = DBSession.query(
- Game.game_type_cd, func.count(), func.sum(PlayerGameStat.alivetime)).\
- 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_stats['games'] = 0
- total_stats['games_breakdown'] = {} # this is a dictionary inside a dictionary .. dictception?
- total_stats['games_alivetime'] = {}
- for (game_type_cd, games, alivetime) in games_played:
- total_stats['games'] += games
- total_stats['games_breakdown'][game_type_cd] = games
- total_stats['games_alivetime'][game_type_cd] = alivetime
-
- # more fields can be added here, e.g. 'collects' for kh games
- (total_stats['kills'], total_stats['deaths'], total_stats['suicides'],
- total_stats['alivetime'],) = DBSession.query(
- func.sum(PlayerGameStat.kills),
- func.sum(PlayerGameStat.deaths),
- func.sum(PlayerGameStat.suicides),
- func.sum(PlayerGameStat.alivetime)).\
- filter(PlayerGameStat.player_id == player_id).\
- one()
-
- (total_stats['alivetime_week'],) = DBSession.query(
- func.sum(PlayerGameStat.alivetime)).\
- filter(PlayerGameStat.player_id == player_id).\
- filter(PlayerGameStat.create_dt > one_week_ago).\
- one()
-
- (total_stats['alivetime_month'],) = DBSession.query(
- func.sum(PlayerGameStat.alivetime)).\
- filter(PlayerGameStat.player_id == player_id).\
- filter(PlayerGameStat.create_dt > one_month_ago).\
- one()
-
- (total_stats['wins'],) = DBSession.query(
- func.count("*")).\
- filter(Game.game_id == PlayerGameStat.game_id).\
- filter(PlayerGameStat.player_id == player_id).\
- filter(Game.winner == PlayerGameStat.team or PlayerGameStat.rank == 1).\
- one()
-
- (total_stats['duel_wins'],) = DBSession.query(
- func.count("*")).\
- filter(Game.game_id == PlayerGameStat.game_id).\
- filter(Game.game_type_cd == "duel").\
- filter(PlayerGameStat.player_id == player_id).\
- filter(PlayerGameStat.rank == 1).\
- one()
-
- (total_stats['duel_kills'], total_stats['duel_deaths'], total_stats['duel_suicides'],) = DBSession.query(
- func.sum(PlayerGameStat.kills),
- func.sum(PlayerGameStat.deaths),
- func.sum(PlayerGameStat.suicides)).\
- filter(Game.game_id == PlayerGameStat.game_id).\
- filter(Game.game_type_cd == "duel").\
- filter(PlayerGameStat.player_id == player_id).\
- one()
-
- (total_stats['dm_wins'],) = DBSession.query(
- func.count("*")).\
- filter(Game.game_id == PlayerGameStat.game_id).\
- filter(Game.game_type_cd == "dm").\
- filter(PlayerGameStat.player_id == player_id).\
- filter(PlayerGameStat.rank == 1).\
- one()
-
- (total_stats['dm_kills'], total_stats['dm_deaths'], total_stats['dm_suicides'],) = DBSession.query(
- func.sum(PlayerGameStat.kills),
- func.sum(PlayerGameStat.deaths),
- func.sum(PlayerGameStat.suicides)).\
- filter(Game.game_id == PlayerGameStat.game_id).\
- filter(Game.game_type_cd == "dm").\
- filter(PlayerGameStat.player_id == player_id).\
- one()
-
- (total_stats['tdm_kills'], total_stats['tdm_deaths'], total_stats['tdm_suicides'],) = DBSession.query(
- func.sum(PlayerGameStat.kills),
- func.sum(PlayerGameStat.deaths),
- func.sum(PlayerGameStat.suicides)).\
- filter(Game.game_id == PlayerGameStat.game_id).\
- filter(Game.game_type_cd == "tdm").\
- filter(PlayerGameStat.player_id == player_id).\
- one()
-
- (total_stats['tdm_wins'],) = DBSession.query(
- func.count("*")).\
- filter(Game.game_id == PlayerGameStat.game_id).\
- filter(Game.game_type_cd == "tdm").\
- filter(PlayerGameStat.player_id == player_id).\
- filter(PlayerGameStat.rank == 1).\
- one()
-
- (total_stats['ctf_wins'],) = DBSession.query(
- func.count("*")).\
- filter(Game.game_id == PlayerGameStat.game_id).\
- filter(Game.game_type_cd == "ctf").\
- filter(PlayerGameStat.player_id == player_id).\
- filter(PlayerGameStat.rank == 1).\
- one()
-
- (total_stats['ctf_caps'], total_stats['ctf_pickups'], total_stats['ctf_drops'],
- total_stats['ctf_returns'], total_stats['ctf_fckills'],) = DBSession.query(
- func.sum(PlayerGameStat.captures),
- func.sum(PlayerGameStat.pickups),
- func.sum(PlayerGameStat.drops),
- func.sum(PlayerGameStat.returns),
- func.sum(PlayerGameStat.carrier_frags)).\
- filter(Game.game_id == PlayerGameStat.game_id).\
- filter(Game.game_type_cd == "ctf").\
- filter(PlayerGameStat.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_map(player_id):
- """
- Get the player's favorite map. The favorite map is defined
- as the map that he or she has played the most in the past
- 90 days.
-
- Returns a dictionary with keys for the map's name and id.
- """
- # 90 day window
- back_then = datetime.datetime.utcnow() - datetime.timedelta(days=90)
-
- raw_fav_map = DBSession.query(Map.name, Map.map_id).\
- filter(Game.game_id == PlayerGameStat.game_id).\
- filter(Game.map_id == Map.map_id).\
- filter(PlayerGameStat.player_id == player_id).\
- filter(PlayerGameStat.create_dt > back_then).\
- group_by(Map.name, Map.map_id).\
- order_by(func.count().desc()).\
- limit(5).all()
-
- fav_map = []
- for map_e in raw_fav_map:
- entry = {}
- entry['name'] = map_e[0]
- entry['id'] = map_e[1]
- fav_map.append(entry)
-
- return fav_map
-
-
-def _get_fav_weapon(player_id):
- """
- Get the player's favorite weapon. The favorite weapon is defined
- as the weapon that he or she has employed the most in the past
- 90 days.
-
- Returns a sequence of dictionaries with keys for the weapon's name and id.
- The sequence holds the most-used weapons in decreasing order.
- """
- # 90 day window
- back_then = datetime.datetime.utcnow() - datetime.timedelta(days=90)
-
- raw_fav_weapon = DBSession.query(Weapon.descr, Weapon.weapon_cd).\
- filter(Game.game_id == PlayerWeaponStat.game_id).\
- filter(PlayerWeaponStat.player_id == player_id).\
- filter(PlayerWeaponStat.weapon_cd == Weapon.weapon_cd).\
- filter(PlayerWeaponStat.create_dt > back_then).\
- group_by(Weapon.descr, Weapon.weapon_cd).\
- order_by(func.count().desc()).\
- limit(5).all()
+ Returns a list of namedtuples with the following members:
+ - game_type_cd
+ - games
+ - wins
+ - losses
+ - win_pct
- fav_weapon = []
- for wpn_e in raw_fav_weapon:
- entry = {}
- entry['name'] = wpn_e[0]
- entry['id'] = wpn_e[1]
- fav_weapon.append(entry)
+ The list itself is ordered by the number of games played
+ """
+ GamesPlayed = namedtuple('GamesPlayed', ['game_type_cd', 'games', 'wins',
+ 'losses', 'win_pct'])
- return fav_weapon
+ raw_games_played = DBSession.query('game_type_cd', 'wins', 'losses').\
+ from_statement(
+ "SELECT game_type_cd, "
+ "SUM(win) wins, "
+ "SUM(loss) losses "
+ "FROM (SELECT g.game_id, "
+ "g.game_type_cd, "
+ "CASE "
+ "WHEN g.winner = pgs.team THEN 1 "
+ "WHEN pgs.scoreboardpos = 1 THEN 1 "
+ "ELSE 0 "
+ "END win, "
+ "CASE "
+ "WHEN g.winner = pgs.team THEN 0 "
+ "WHEN pgs.scoreboardpos = 1 THEN 0 "
+ "ELSE 1 "
+ "END loss "
+ "FROM games g, "
+ "player_game_stats pgs "
+ "WHERE g.game_id = pgs.game_id "
+ "AND pgs.player_id = :player_id) win_loss "
+ "GROUP BY game_type_cd "
+ ).params(player_id=player_id).all()
+
+ games_played = []
+ overall_games = 0
+ overall_wins = 0
+ overall_losses = 0
+ for row in raw_games_played:
+ games = row.wins + row.losses
+ overall_games += games
+ overall_wins += row.wins
+ overall_losses += row.losses
+ 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 * 100
+ except:
+ overall_win_pct = 0.0
-def _get_fav_server(player_id):
- """
- Get the player's favorite server. The favorite server is defined
- as the server that he or she has played on the most in the past
- 90 days.
+ games_played.append(GamesPlayed('overall', overall_games, overall_wins,
+ overall_losses, overall_win_pct))
- Returns a sequence of dictionaries with keys for the server's name and id.
- The sequence holds the most-used servers in decreasing order.
+ # sort the resulting list by # of games played
+ games_played = sorted(games_played, key=lambda x:x.games)
+ games_played.reverse()
+ return games_played
+
+
+def get_overall_stats(player_id):
+ """
+ Provides a breakdown of stats by gametype played by player_id.
+
+ Returns a dictionary of namedtuples with the following members:
+ - total_kills
+ - 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.
"""
- # 90 day window
- back_then = datetime.datetime.utcnow() - datetime.timedelta(days=90)
+ OverallStats = namedtuple('OverallStats', ['total_kills', 'total_deaths',
+ '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', '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.alivetime) total_playing_time, "
+ "Sum(pgs.pickups) total_pickups, "
+ "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, 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 = {}
+
+ for row in raw_stats:
+ # individual gametype ratio calculations
+ try:
+ k_d_ratio = float(row.total_kills)/row.total_deaths
+ except:
+ k_d_ratio = None
+
+ try:
+ cap_ratio = float(row.total_captures)/row.total_pickups
+ except:
+ cap_ratio = None
+
+ # 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_descr=row.game_type_descr)
+
+ overall_stats[row.game_type_cd] = os
+
+ # 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']
+
+ try:
+ k_d_ratio = float(os.total_kills)/(os.total_deaths - overall_stats['cts'].total_deaths)
+ except:
+ k_d_ratio = None
+
+ 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
+
- raw_fav_server = DBSession.query(Server.name, Server.server_id).\
- filter(Game.game_id == PlayerGameStat.game_id).\
- filter(Game.server_id == Server.server_id).\
- filter(PlayerGameStat.player_id == player_id).\
- filter(PlayerGameStat.create_dt > back_then).\
- group_by(Server.name, Server.server_id).\
- order_by(func.count().desc()).\
- limit(5).all()
+def get_fav_maps(player_id, game_type_cd=None):
+ """
+ Provides a breakdown of favorite maps by gametype.
- fav_server = []
- for srv_e in raw_fav_server:
- entry = {}
- entry['name'] = srv_e[0]
- entry['id'] = srv_e[1]
- fav_server.append(entry)
+ Returns a dictionary of namedtuples with the following members:
+ - game_type_cd
+ - map_name (map name)
+ - map_id
+ - times_played
- return fav_server
+ The favorite map is defined as the map you've played the most
+ for the given game_type_cd.
+ The key to the dictionary is the game type code. There is also an
+ "overall" game_type_cd which is the overall favorite map. This is
+ 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'])
-def _get_rank(player_id):
+ raw_favs = DBSession.query('game_type_cd', 'map_name',
+ 'map_id', 'times_played').\
+ from_statement(
+ "SELECT game_type_cd, "
+ "name map_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 "
+ "ORDER BY times_played desc "
+ ).params(player_id=player_id).all()
+
+ 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'] = 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 == fv.game_type_cd:
+ fav_maps['overall'] = fv
+
+ fav_maps[row.game_type_cd] = fv
+
+ return fav_maps
+
+
+def get_ranks(player_id):
"""
- Get the player's rank as well as the total number of ranks.
+ Provides a breakdown of the player's ranks by game type.
+
+ Returns a dictionary of namedtuples with the following members:
+ - game_type_cd
+ - rank
+ - max_rank
+
+ 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 = DBSession.query("game_type_cd", "rank", "max_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 "
"from player_ranks pr, "
"from player_ranks "
"group by game_type_cd) overall "
"where pr.game_type_cd = overall.game_type_cd "
+ "and max_rank > 1 "
"and player_id = :player_id "
"order by rank").\
params(player_id=player_id).all()
- return 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'] = rank
+ found_top_rank = True
+ elif rank.percentile > ranks['overall'].percentile:
+ ranks['overall'] = rank
+
+ ranks[row.game_type_cd] = rank
+
+ return ranks;
+
+
+def get_elos(player_id):
+ """
+ Provides a breakdown of the player's elos by game type.
+
+ Returns a dictionary of namedtuples with the following members:
+ - player_id
+ - game_type_cd
+ - games
+ - elo
+
+ The key to the dictionary is the game type code. There is also an
+ "overall" game_type_cd which is the overall best rank.
+ """
+ raw_elos = DBSession.query(PlayerElo).filter_by(player_id=player_id).\
+ order_by(PlayerElo.elo.desc()).all()
+
+ elos = {}
+ found_max_elo = False
+ for row in raw_elos:
+ if not found_max_elo:
+ elos['overall'] = row
+ found_max_elo = True
+
+ elos[row.game_type_cd] = row
+
+ return elos
+
+
+def get_recent_games(player_id, limit=10):
+ """
+ Provides a list of recent games for a player. Uses the recent_games_q helper.
+ """
+ # recent games played in descending order
+ rgs = recent_games_q(player_id=player_id, force_player_id=True).limit(limit).all()
+ recent_games = [RecentGame(row) for row in rgs]
+
+ return recent_games
+
+
+def get_recent_weapons(player_id):
+ """
+ Returns the weapons that have been used in the past 90 days
+ and also used in 5 games or more.
+ """
+ cutoff = datetime.datetime.utcnow() - datetime.timedelta(days=90)
+ recent_weapons = []
+ for weapon in DBSession.query(PlayerWeaponStat.weapon_cd, func.count()).\
+ filter(PlayerWeaponStat.player_id == player_id).\
+ filter(PlayerWeaponStat.create_dt > cutoff).\
+ group_by(PlayerWeaponStat.weapon_cd).\
+ having(func.count() > 4).\
+ all():
+ recent_weapons.append(weapon[0])
+
+ return recent_weapons
def get_accuracy_stats(player_id, weapon_cd, 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).\
player = DBSession.query(Player).filter_by(player_id=player_id).\
filter(Player.active_ind == True).one()
- # games played, alivetime, wins, kills, deaths
- total_stats = _get_total_stats(player.player_id)
-
- # games breakdown - N games played (X ctf, Y dm) etc
- # DEPRECATED: included in total_stats, see above
- # (total_games, games_breakdown) = _get_games_played(player.player_id)
-
- # favorite map from the past 90 days
- try:
- fav_map = _get_fav_map(player.player_id)
- except:
- fav_map = None
-
- # favorite weapon from the past 90 days
- try:
- fav_weapon = _get_fav_weapon(player.player_id)
- except:
- fav_weapon = None
-
- # favorite server from the past 90 days
- try:
- fav_server = _get_fav_server(player.player_id)
- except:
- fav_server = None
-
- # friendly display of elo information and preliminary status
- elos = DBSession.query(PlayerElo).filter_by(player_id=player_id).\
- filter(PlayerElo.game_type_cd.in_(['ctf','duel','dm'])).\
- order_by(PlayerElo.elo.desc()).all()
-
- elos_display = []
- elos_dict = {}
- for elo in elos:
- if elo.games > 32:
- str = "{0} ({1})"
- else:
- str = "{0}* ({1})"
-
- elos_display.append(str.format(round(elo.elo, 3),
- elo.game_type_cd))
- elos_dict[elo.game_type_cd] = round(elo.elo, 3)
- elos_display = ', '.join(elos_display)
-
- # get current rank information
- ranks = _get_rank(player_id)
-
- ranks_display = []
- ranks_dict = {}
- for gtc,rank,max_rank in ranks:
- ranks_display.append("{1} of {2} ({0})".format(gtc, rank, max_rank))
- ranks_dict[gtc] = (rank, max_rank)
- ranks_display = ', '.join(ranks_display)
-
-
- # which weapons have been used in the past 90 days
- # and also, used in 5 games or more?
- back_then = datetime.datetime.utcnow() - datetime.timedelta(days=90)
- recent_weapons = []
- for weapon in DBSession.query(PlayerWeaponStat.weapon_cd, func.count()).\
- filter(PlayerWeaponStat.player_id == player_id).\
- filter(PlayerWeaponStat.create_dt > back_then).\
- group_by(PlayerWeaponStat.weapon_cd).\
- having(func.count() > 4).\
- all():
- recent_weapons.append(weapon[0])
-
- # 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]
+ games_played = get_games_played(player_id)
+ overall_stats = get_overall_stats(player_id)
+ fav_maps = get_fav_maps(player_id)
+ elos = get_elos(player_id)
+ 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
- elos = None
- elos_display = None
- total_stats = None
- recent_games = None
- # DEPRECATED: included in total_stats, see above
- #total_games = None
- #games_breakdown = None
- recent_weapons = []
- fav_map = None
- fav_weapon = None
- fav_server = None
- ranks = None
- ranks_display = None;
+ raise pyramid.httpexceptions.HTTPNotFound
+
+ ## do not raise application exceptions here (only for debugging)
+ # raise e
return {'player':player,
- 'elos':elos_dict,
- 'elos_display':elos_display,
+ 'games_played':games_played,
+ 'overall_stats':overall_stats,
+ 'fav_maps':fav_maps,
+ 'elos':elos,
+ 'ranks':ranks,
'recent_games':recent_games,
- 'total_stats':total_stats,
- # DEPRECATED: included in total_stats, see above
- #'total_games':total_games,
- #'games_breakdown':games_breakdown,
'recent_weapons':recent_weapons,
- 'fav_map':fav_map,
- 'fav_weapon':fav_weapon,
- 'fav_server':fav_server,
- 'ranks':ranks_dict,
- 'ranks_display':ranks_display,
+ 'cake_day':cake_day,
}
"""
Provides detailed information on a specific player. JSON.
"""
- return [{'status':'not implemented'}]
+
+ # All player_info fields are converted into JSON-formattable dictionaries
+ player_info = player_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)
+
+ 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']
+
+ # the incoming hashkey is double quoted, and WSGI unquotes once...
+ # hashkey = unquote(hashkey)
+
+ # if using request verification to obtain the hashkey
+ (idfp, status) = verify_request(request)
+ log.debug("d0_blind_id verification: idfp={0} status={1}\n".format(idfp, status))
+
+ log.debug("\n----- BEGIN REQUEST BODY -----\n" + request.body +
+ "----- END REQUEST BODY -----\n\n")
+
+ # if config is to *not* verify requests and we get nothing back, this
+ # query will return nothing and we'll 404.
+ try:
+ player = DBSession.query(Player).\
+ filter(Player.player_id == Hashkey.player_id).\
+ filter(Player.active_ind == True).\
+ filter(Hashkey.hashkey == idfp).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)
+ most_recent_game = get_recent_games(player.player_id, 1)[0]
+
+ except Exception as e:
+ raise pyramid.httpexceptions.HTTPNotFound
+
+ return {'player':player,
+ 'hashkey':idfp,
+ 'games_played':games_played,
+ 'overall_stats':overall_stats,
+ 'fav_maps':fav_maps,
+ 'elos':elos,
+ 'ranks':ranks,
+ 'most_recent_game':most_recent_game,
+ }
+
+
+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)
+
+ most_recent_game = to_json(player_info['most_recent_game'])
+
+ return [{
+ 'version': 1,
+ 'player': player,
+ 'games_played': games_played,
+ 'overall_stats': overall_stats,
+ 'fav_maps': fav_maps,
+ 'elos': elos,
+ 'ranks': ranks,
+ 'most_recent_game': most_recent_game,
+ }]
+
+
+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']
+ most_recent_game = player_info['most_recent_game']
+
+ # one-offs for things needing conversion for text/plain
+ player_joined = timegm(player.create_dt.timetuple())
+ player_joined_dt = player.create_dt
+ 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,
+ 'player_joined_dt': player_joined_dt,
+ 'games_played': games_played,
+ 'overall_stats': overall_stats,
+ 'alivetime': alivetime,
+ 'fav_maps': fav_maps,
+ 'elos': elos,
+ 'ranks': ranks,
+ 'most_recent_game': most_recent_game,
+ }
+
+
+def player_elo_info_data(request):
+ """
+ Provides elo information on a specific player. Raw data is returned.
+ """
+ (idfp, status) = verify_request(request)
+ log.debug("d0_blind_id verification: idfp={0} status={1}\n".format(idfp, status))
+
+ log.debug("\n----- BEGIN REQUEST BODY -----\n" + request.body +
+ "----- END REQUEST BODY -----\n\n")
+
+ hashkey = request.matchdict['hashkey']
+
+ # the incoming hashkey is double quoted, and WSGI unquotes once...
+ hashkey = unquote(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 {
+ 'hashkey':hashkey,
+ 'player':player,
+ 'elos':elos,
+ }
+
+
+def player_elo_info_json(request):
+ """
+ Provides elo information on a specific player. JSON.
+ """
+ elo_info = player_elo_info_data(request)
+
+ player = player_info['player'].to_dict()
+
+ elos = {}
+ for gt, elo in elo_info['elos'].items():
+ elos[gt] = to_json(elo.to_dict())
+
+ return [{
+ 'version': 1,
+ 'player': player,
+ 'elos': elos,
+ }]
+
+
+def player_elo_info_text(request):
+ """
+ Provides elo 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
+ elo_info = player_elo_info_data(request)
+
+ # 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,
+ 'hashkey': elo_info['hashkey'],
+ 'player': elo_info['player'],
+ 'elos': elo_info['elos'],
+ }
+
+
+def player_captimes_data(request):
+ player_id = int(request.matchdict['player_id'])
+ if player_id <= 2:
+ player_id = -1;
+
+ if request.params.has_key('page'):
+ current_page = request.params['page']
+ else:
+ current_page = 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'])
+
+ player = DBSession.query(Player).filter_by(player_id=player_id).one()
+
+ #pct_q = 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)
+
+ try:
+ pct_q = DBSession.query(PlayerCaptime.fastest_cap, PlayerCaptime.create_dt,
+ PlayerCaptime.player_id, PlayerCaptime.game_id, PlayerCaptime.map_id,
+ Map.name.label('map_name'), Game.server_id, Server.name.label('server_name')).\
+ filter(PlayerCaptime.player_id==player_id).\
+ filter(PlayerCaptime.game_id==Game.game_id).\
+ filter(PlayerCaptime.map_id==Map.map_id).\
+ filter(Game.server_id==Server.server_id).\
+ order_by(expr.desc(PlayerCaptime.create_dt))
+
+ player_captimes = Page(pct_q, current_page, items_per_page=20, url=page_url)
+
+ # replace the items in the canned pagination class with more rich ones
+ player_captimes.items = [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
+ ) for row in player_captimes.items]
+
+ except Exception as e:
+ player = None
+ player_captimes = None
+
+ return {
+ 'player_id':player_id,
+ 'player':player,
+ 'captimes':player_captimes,
+ #'player_url':request.route_url('player_info', id=player_id),
+ }
+
+
+def player_captimes(request):
+ return player_captimes_data(request)
+
+
+def player_captimes_json(request):
+ return player_captimes_data(request)
+
+
+def player_weaponstats_data_json(request):
+ player_id = request.matchdict["id"]
+ if player_id <= 2:
+ player_id = -1;
+
+ game_type_cd = request.params.get("game_type", None)
+ if game_type_cd == "overall":
+ game_type_cd = None
+
+ limit = 20
+ if request.params.has_key("limit"):
+ limit = int(request.params["limit"])
+
+ if limit < 0:
+ limit = 20
+ if limit > 50:
+ limit = 50
+
+ games_raw = DBSession.query(sa.distinct(Game.game_id)).\
+ filter(Game.game_id == PlayerWeaponStat.game_id).\
+ filter(PlayerWeaponStat.player_id == player_id)
+
+ if game_type_cd is not None:
+ games_raw = games_raw.filter(Game.game_type_cd == game_type_cd)
+
+ games_raw = games_raw.order_by(Game.game_id.desc()).limit(limit).all()
+
+ weapon_stats_raw = DBSession.query(PlayerWeaponStat).\
+ filter(PlayerWeaponStat.player_id == player_id).\
+ filter(PlayerWeaponStat.game_id.in_(games_raw)).all()
+
+ games_to_weapons = {}
+ weapons_used = {}
+ sum_avgs = {}
+ for ws in weapon_stats_raw:
+ if ws.game_id not in games_to_weapons:
+ games_to_weapons[ws.game_id] = [ws.weapon_cd]
+ else:
+ games_to_weapons[ws.game_id].append(ws.weapon_cd)
+
+ weapons_used[ws.weapon_cd] = weapons_used.get(ws.weapon_cd, 0) + 1
+ sum_avgs[ws.weapon_cd] = sum_avgs.get(ws.weapon_cd, 0) + float(ws.hit)/float(ws.fired)
+
+ # Creating zero-valued weapon stat entries for games where a weapon was not
+ # used in that game, but was used in another game for the set. This makes
+ # the charts look smoother
+ for game_id in games_to_weapons.keys():
+ for weapon_cd in set(weapons_used.keys()) - set(games_to_weapons[game_id]):
+ weapon_stats_raw.append(PlayerWeaponStat(player_id=player_id,
+ game_id=game_id, weapon_cd=weapon_cd))
+
+ # averages for the weapons used in the range
+ avgs = {}
+ for w in weapons_used.keys():
+ avgs[w] = round(sum_avgs[w]/float(weapons_used[w])*100, 2)
+
+ weapon_stats_raw = sorted(weapon_stats_raw, key = lambda x: x.game_id)
+ games = sorted(games_to_weapons.keys())
+ weapon_stats = [ws.to_dict() for ws in weapon_stats_raw]
+
+ return {
+ "weapon_stats": weapon_stats,
+ "weapons_used": weapons_used.keys(),
+ "games": games,
+ "averages": avgs,
+ }
+