-import datetime\r
-import logging\r
-import re\r
-import time\r
-from pyramid.response import Response\r
-from sqlalchemy import desc\r
-from webhelpers.paginate import Page, PageURL\r
-from xonstat.models import *\r
-from xonstat.util import page_url\r
-\r
-log = logging.getLogger(__name__)\r
-\r
-\r
-def player_index(request):\r
- """\r
- Provides a list of all the current players. \r
- """\r
- players = DBSession.query(Player)\r
-\r
- return {'players':players}\r
-\r
-def player_info(request):\r
- """\r
- Provides detailed information on a specific player\r
- """\r
- player_id = request.matchdict['id']\r
- try:\r
- player = DBSession.query(Player).filter_by(player_id=player_id).one()\r
-\r
- weapon_stats = DBSession.query("descr", "weapon_cd", "actual_total", \r
- "max_total", "hit_total", "fired_total", "frags_total").\\r
- from_statement(\r
- "select cw.descr, cw.weapon_cd, sum(actual) actual_total, "\r
- "sum(max) max_total, sum(hit) hit_total, "\r
- "sum(fired) fired_total, sum(frags) frags_total "\r
- "from xonstat.player_weapon_stats ws, xonstat.cd_weapon cw "\r
- "where ws.weapon_cd = cw.weapon_cd "\r
- "and player_id = :player_id "\r
- "group by descr, cw.weapon_cd "\r
- "order by descr"\r
- ).params(player_id=player_id).all()\r
-\r
- recent_games = DBSession.query(PlayerGameStat, Game, Server, Map).\\r
- filter(PlayerGameStat.player_id == player_id).\\r
- filter(PlayerGameStat.game_id == Game.game_id).\\r
- filter(Game.server_id == Server.server_id).\\r
- filter(Game.map_id == Map.map_id).\\r
- order_by(Game.game_id.desc())[0:10]\r
-\r
- game_stats = {}\r
- (game_stats['avg_rank'], game_stats['total_kills'], \r
- game_stats['total_deaths'], game_stats['total_suicides'], \r
- game_stats['total_score'], game_stats['total_time'], \r
- game_stats['total_held'], game_stats['total_captures'], \r
- game_stats['total_pickups'],game_stats['total_drops'], \r
- game_stats['total_returns'], game_stats['total_collects'], \r
- game_stats['total_destroys'], game_stats['total_dhk'], \r
- game_stats['total_pushes'], game_stats['total_pushed'], \r
- game_stats['total_carrier_frags'], \r
- game_stats['total_alivetime'],\r
- game_stats['total_games_played']) = DBSession.\\r
- query("avg_rank", "total_kills", "total_deaths", \r
- "total_suicides", "total_score", "total_time", "total_held",\r
- "total_captures", "total_pickups", "total_drops", \r
- "total_returns", "total_collects", "total_destroys", \r
- "total_dhk", "total_pushes", "total_pushed", \r
- "total_carrier_frags", "total_alivetime", \r
- "total_games_played").\\r
- from_statement(\r
- "select round(avg(rank)) avg_rank, sum(kills) total_kills, "\r
- "sum(deaths) total_deaths, sum(suicides) total_suicides, "\r
- "sum(score) total_score, sum(time) total_time, "\r
- "sum(held) total_held, sum(captures) total_captures, "\r
- "sum(pickups) total_pickups, sum(drops) total_drops, "\r
- "sum(returns) total_returns, sum(collects) total_collects, "\r
- "sum(destroys) total_destroys, sum(destroys_holding_key) total_dhk, "\r
- "sum(pushes) total_pushes, sum(pushed) total_pushed, "\r
- "sum(carrier_frags) total_carrier_frags, "\r
- "sum(alivetime) total_alivetime, count(*) total_games_played "\r
- "from player_game_stats "\r
- "where player_id=:player_id"\r
- ).params(player_id=player_id).one()\r
-\r
- for (key,value) in game_stats.items():\r
- if value == None:\r
- game_stats[key] = '-'\r
-\r
- except Exception as e:\r
- player = None\r
- weapon_stats = None\r
- game_stats = None\r
- recent_games = None\r
- raise e\r
- return {'player':player, \r
- 'recent_games':recent_games,\r
- 'weapon_stats':weapon_stats,\r
- 'game_stats':game_stats}\r
-\r
-\r
-def player_game_index(request):\r
- """\r
- Provides an index of the games in which a particular\r
- player was involved. This is ordered by game_id, with\r
- the most recent game_ids first. Paginated.\r
- """\r
- player_id = request.matchdict['player_id']\r
-\r
- if 'page' in request.matchdict:\r
- current_page = request.matchdict['page']\r
- else:\r
- current_page = 1\r
-\r
- try:\r
- player = DBSession.query(Player).filter_by(player_id=player_id).one()\r
-\r
- games_q = DBSession.query(PlayerGameStat, Game, Server, Map).\\r
- filter(PlayerGameStat.player_id == player_id).\\r
- filter(PlayerGameStat.game_id == Game.game_id).\\r
- filter(Game.server_id == Server.server_id).\\r
- filter(Game.map_id == Map.map_id).\\r
- order_by(Game.game_id.desc())\r
-\r
- games = Page(games_q, current_page, url=page_url)\r
-\r
- \r
- except Exception as e:\r
- player = None\r
- games = None\r
-\r
- return {'player':player,\r
- 'games':games}\r
+import datetime
+import json
+import logging
+import re
+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 xonstat.models import *
+from xonstat.util import page_url, to_json, pretty_date
+
+log = logging.getLogger(__name__)
+
+
+def player_index_data(request):
+ if request.params.has_key('page'):
+ current_page = request.params['page']
+ else:
+ current_page = 1
+
+ try:
+ player_q = DBSession.query(Player).\
+ filter(Player.player_id > 2).\
+ filter(Player.active_ind == True).\
+ 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)
+
+ except Exception as e:
+ players = None
+ raise e
+
+ return {'players':players
+ }
+
+
+def player_index(request):
+ """
+ Provides a list of all the current players.
+ """
+ return player_index_data(request)
+
+
+def player_index_json(request):
+ """
+ Provides a list of all the current players. JSON.
+ """
+ return [{'status':'not implemented'}]
+
+
+def get_games_played(player_id):
+ """
+ Provides a breakdown by gametype of the games played by player_id.
+
+ Returns a list of namedtuples with the following members:
+ - game_type_cd
+ - games
+ - wins
+ - losses
+ - win_pct
+
+ The list itself is ordered by the number of games played
+ """
+ GamesPlayed = namedtuple('GamesPlayed', ['game_type_cd', 'games', 'wins',
+ 'losses', 'win_pct'])
+
+ 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.rank = 1 THEN 1 "
+ "ELSE 0 "
+ "END win, "
+ "CASE "
+ "WHEN g.winner = pgs.team THEN 0 "
+ "WHEN pgs.rank = 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
+
+ games_played.append(GamesPlayed('overall', overall_games, overall_wins,
+ overall_losses, overall_win_pct))
+
+ # 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_pickups (ctf only)
+ - total_captures (ctf only)
+ - cap_ratio (ctf only)
+ - total_carrier_frags (ctf only)
+ - game_type_cd
+
+ 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', 'last_played_epoch', 'last_played_fuzzy',
+ 'total_playing_time', 'total_pickups', 'total_captures', 'cap_ratio',
+ 'total_carrier_frags', 'game_type_cd'])
+
+ raw_stats = DBSession.query('game_type_cd', 'total_kills',
+ 'total_deaths', 'last_played', 'total_playing_time',
+ 'total_pickups', 'total_captures', 'total_carrier_frags').\
+ from_statement(
+ "SELECT g.game_type_cd, "
+ "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, "
+ "player_game_stats pgs "
+ "WHERE g.game_id = pgs.game_id "
+ "AND pgs.player_id = :player_id "
+ "GROUP BY g.game_type_cd "
+ ).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
+ except:
+ k_d_ratio = None
+
+ try:
+ 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_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)
+
+ 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
+
+ os = OverallStats(total_kills=overall_kills,
+ total_deaths=overall_deaths,
+ k_d_ratio=overall_k_d_ratio,
+ last_played=overall_last_played,
+ last_played_epoch=timegm(overall_last_played.timetuple()),
+ last_played_fuzzy=pretty_date(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')
+
+ overall_stats['overall'] = os
+
+ return overall_stats
+
+
+def get_fav_maps(player_id, game_type_cd=None):
+ """
+ Provides a breakdown of favorite maps by gametype.
+
+ Returns a dictionary of namedtuples with the following members:
+ - game_type_cd
+ - map_name (map name)
+ - map_id
+ - times_played
+
+ 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'])
+
+ 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):
+ """
+ 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 = 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, "
+ "(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()
+
+ 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)/row.max_rank,
+ 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):
+ """
+ Provides a list of recent games.
+
+ Returns the full PlayerGameStat, Game, Server, Map
+ objects for all recent games.
+ """
+ RecentGame = namedtuple('RecentGame', ['player_stats', 'game', 'server', 'map'])
+
+ # 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]
+
+ return [
+ RecentGame(player_stats=row.PlayerGameStat,
+ game=row.Game,
+ server=row.Server,
+ map=row.Map)
+ for row in 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):
+ """
+ Provides accuracy for weapon_cd by player_id for the past N games.
+ """
+ # Reaching back 90 days should give us an accurate enough average
+ # We then multiply this out for the number of data points (games) to
+ # create parameters for a flot graph
+ try:
+ raw_avg = DBSession.query(func.sum(PlayerWeaponStat.hit),
+ func.sum(PlayerWeaponStat.fired)).\
+ filter(PlayerWeaponStat.player_id == player_id).\
+ filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
+ one()
+
+ avg = round(float(raw_avg[0])/raw_avg[1]*100, 2)
+
+ # 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,
+ PlayerWeaponStat.hit, PlayerWeaponStat.fired).\
+ filter(PlayerWeaponStat.player_id == player_id).\
+ filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
+ order_by(PlayerWeaponStat.game_id.desc()).\
+ limit(games).\
+ all()
+
+ # they come out in opposite order, so flip them in the right direction
+ raw_accs.reverse()
+
+ accs = []
+ for i in range(len(raw_accs)):
+ accs.append((raw_accs[i][0], round(float(raw_accs[i][1])/raw_accs[i][2]*100, 2)))
+ except:
+ accs = []
+ avg = 0.0
+
+ return (avg, accs)
+
+
+def get_damage_stats(player_id, weapon_cd, games):
+ """
+ Provides damage info for weapon_cd by player_id for the past N games.
+ """
+ try:
+ raw_avg = DBSession.query(func.sum(PlayerWeaponStat.actual),
+ func.sum(PlayerWeaponStat.hit)).\
+ filter(PlayerWeaponStat.player_id == player_id).\
+ filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
+ one()
+
+ avg = round(float(raw_avg[0])/raw_avg[1], 2)
+
+ # 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,
+ PlayerWeaponStat.actual, PlayerWeaponStat.hit).\
+ filter(PlayerWeaponStat.player_id == player_id).\
+ filter(PlayerWeaponStat.weapon_cd == weapon_cd).\
+ order_by(PlayerWeaponStat.game_id.desc()).\
+ limit(games).\
+ all()
+
+ # they come out in opposite order, so flip them in the right direction
+ raw_dmgs.reverse()
+
+ dmgs = []
+ for i in range(len(raw_dmgs)):
+ # try to derive, unless we've hit nothing then set to 0!
+ try:
+ dmg = round(float(raw_dmgs[i][1])/raw_dmgs[i][2], 2)
+ except:
+ dmg = 0.0
+
+ dmgs.append((raw_dmgs[i][0], dmg))
+ except Exception as e:
+ dmgs = []
+ avg = 0.0
+
+ return (avg, dmgs)
+
+
+def player_info_data(request):
+ player_id = int(request.matchdict['id'])
+ if player_id <= 2:
+ player_id = -1;
+
+ try:
+ player = DBSession.query(Player).filter_by(player_id=player_id).\
+ filter(Player.active_ind == True).one()
+
+ 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)
+
+ except Exception as e:
+ player = None
+ games_played = None
+ overall_stats = None
+ fav_maps = None
+ elos = None
+ ranks = None
+ recent_games = None
+ 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
+ }
+
+
+def player_info(request):
+ """
+ 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'].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):
+ RecentGame = namedtuple('RecentGame', ['game_id', 'game_type_cd', 'winner',
+ 'game_create_dt', 'game_epoch', 'game_fuzzy', 'server_id',
+ 'server_name', 'map_id', 'map_name', 'team', 'rank', 'elo_delta'])
+
+ player_id = request.matchdict['player_id']
+
+ if request.params.has_key('page'):
+ current_page = request.params['page']
+ else:
+ current_page = 1
+
+ try:
+ player = DBSession.query(Player).filter_by(player_id=player_id).\
+ filter(Player.active_ind == True).one()
+
+ games_q = DBSession.query(Game.game_id, Game.game_type_cd, Game.winner,
+ Game.create_dt, Server.server_id,
+ Server.name.label('server_name'), Map.map_id,
+ Map.name.label('map_name'), PlayerGameStat.team,
+ PlayerGameStat.rank, PlayerGameStat.elo_delta).\
+ 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)
+
+ # replace the items in the canned pagination class with more rich ones
+ games.items = [RecentGame(
+ game_id = row.game_id,
+ game_type_cd = row.game_type_cd,
+ winner = row.winner,
+ game_create_dt = row.create_dt,
+ game_epoch = timegm(row.create_dt.timetuple()),
+ game_fuzzy = pretty_date(row.create_dt),
+ server_id = row.server_id,
+ server_name = row.server_name,
+ map_id = row.map_id,
+ map_name = row.map_name,
+ team = row.team,
+ rank = row.rank,
+ elo_delta = row.elo_delta
+ ) for row in games.items]
+
+ except Exception as e:
+ player = None
+ games = None
+
+ return {
+ 'player_id':player.player_id,
+ 'player':player,
+ 'games':games,
+ }
+
+
+def player_game_index(request):
+ """
+ Provides an index of the games in which a particular
+ player was involved. This is ordered by game_id, with
+ the most recent game_ids first. Paginated.
+ """
+ return player_game_index_data(request)
+
+
+def player_game_index_json(request):
+ """
+ Provides an index of the games in which a particular
+ player was involved. This is ordered by game_id, with
+ the most recent game_ids first. Paginated. JSON.
+ """
+ return [{'status':'not implemented'}]
+
+
+def player_accuracy_data(request):
+ player_id = request.matchdict['id']
+ allowed_weapons = ['nex', 'rifle', 'shotgun', 'uzi', 'minstanex']
+ weapon_cd = 'nex'
+ games = 20
+
+ if request.params.has_key('weapon'):
+ if request.params['weapon'] in allowed_weapons:
+ weapon_cd = request.params['weapon']
+
+ if request.params.has_key('games'):
+ try:
+ games = request.params['games']
+
+ if games < 0:
+ games = 20
+ if games > 50:
+ games = 50
+ except:
+ games = 20
+
+ (avg, accs) = get_accuracy_stats(player_id, weapon_cd, games)
+
+ # if we don't have enough data for the given weapon
+ if len(accs) < games:
+ 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,
+ 'accs':accs
+ }
+
+
+def player_accuracy(request):
+ """
+ Provides the accuracy for the given weapon. (JSON only)
+ """
+ return player_accuracy_data(request)
+
+
+def player_accuracy_json(request):
+ """
+ Provides a JSON response representing the accuracy for the given weapon.
+
+ Parameters:
+ weapon = which weapon to display accuracy for. Valid values are 'nex',
+ 'shotgun', 'uzi', and 'minstanex'.
+ games = over how many games to display accuracy. Can be up to 50.
+ """
+ return player_accuracy_data(request)
+
+
+def player_damage_data(request):
+ player_id = request.matchdict['id']
+ allowed_weapons = ['grenadelauncher', 'electro', 'crylink', 'hagar',
+ 'rocketlauncher', 'laser']
+ weapon_cd = 'rocketlauncher'
+ games = 20
+
+ if request.params.has_key('weapon'):
+ if request.params['weapon'] in allowed_weapons:
+ weapon_cd = request.params['weapon']
+
+ if request.params.has_key('games'):
+ try:
+ games = request.params['games']
+
+ if games < 0:
+ games = 20
+ if games > 50:
+ games = 50
+ except:
+ games = 20
+
+ (avg, dmgs) = get_damage_stats(player_id, weapon_cd, games)
+
+ # if we don't have enough data for the given weapon
+ if len(dmgs) < games:
+ 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,
+ 'dmgs':dmgs
+ }
+
+
+def player_damage_json(request):
+ """
+ Provides a JSON response representing the damage for the given weapon.
+
+ Parameters:
+ weapon = which weapon to display damage for. Valid values are
+ 'grenadelauncher', 'electro', 'crylink', 'hagar', 'rocketlauncher',
+ 'laser'.
+ 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 e
+ player = None
+ games_played = None
+ overall_stats = None
+ fav_maps = None
+ elos = None
+ ranks = None
+
+ return {'player':player,
+ '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,
+ }]
projects / xonotic / xonstat.git / blobdiff