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
+from xonstat.util import page_url, to_json, pretty_date
log = logging.getLogger(__name__)
- 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)
"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_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',
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
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,
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,
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)/row.max_rank,
+ 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;
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(Game.map_id == Map.map_id).\
order_by(Game.game_id.desc())[0:10]
- return recent_games
+ 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):
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.
"""
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):
+ 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 = 1
try:
- games_q = DBSession.query(Game, Server, Map).\
+ 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).\
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()
+ # 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_id,
+ return {
+ 'player_id':player.player_id,
+ 'player':player,
'games':games,
- 'pgstats':pgstats}
+ }
def player_game_index(request):
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