]> git.xonotic.org Git - xonotic/xonstat.git/blobdiff - xonstat/glicko.py
Work on the process() method.
[xonotic/xonstat.git] / xonstat / glicko.py
index ccda6d5c942d6800dec14c1ac1520d85e6fa8d96..85d2641c80f7575e00479ff3710f81b046aaf402 100644 (file)
@@ -2,7 +2,7 @@ import logging
 import math
 import sys
 
-from xonstat.models import PlayerGlicko
+from xonstat.models import PlayerGlicko, Game, PlayerGameStat
 
 log = logging.getLogger(__name__)
 
@@ -13,6 +13,9 @@ log = logging.getLogger(__name__)
 # the default system volatility constant
 TAU = 0.3
 
+# how much ping influences results
+LATENCY_TREND_FACTOR = 0.2
+
 
 def calc_g(phi):
     return 1 / math.sqrt(1 + (3 * phi ** 2) / (math.pi ** 2))
@@ -166,6 +169,207 @@ class KReduction:
 KREDUCTION = KReduction()
 
 
+class GlickoWIP(object):
+    """ A work-in-progress Glicko value. """
+    def __init__(self, pg):
+        """
+        Initialize a GlickoWIP instance.
+        :param pg: the player's PlayerGlicko record.
+        """
+        # the player's current (or base) PlayerGlicko record
+        self.pg = pg
+
+        # the list of k factors for each game in the ranking period
+        self.k_factors = []
+
+        # the list of ping factors for each game in the ranking period
+        self.ping_factors = []
+
+        # the list of opponents (PlayerGlicko or PlayerGlickoBase) in the ranking period
+        self.opponents = []
+
+        # the list of results for those games in the ranking period
+        self.results = []
+
+
+class GlickoProcessor(object):
+    """
+    Processes an arbitrary list games using the Glicko2 algorithm.
+    """
+    def __init__(self, session):
+        """
+        Create a GlickoProcessor instance.
+
+        :param session: the SQLAlchemy session to use for fetching/saving records.
+        """
+        self.session = session
+        self.wips = {}
+
+    def _pingratio(self, pi, pj):
+        """
+        Calculate the ping differences between the two players, but only if both have them.
+
+        :param pi: the latency of player I
+        :param pj: the latency of player J
+        :return: float
+        """
+        if pi is None or pj is None or pi < 0 or pj < 0:
+            # default to a draw
+            return 0.5
+
+        else:
+            return float(pi)/(pi+pj)
+
+    def _load_game(self, game_id):
+        try:
+            game = self.session.query(Game).filter(Game.game_id==game_id).one()
+            return game
+        except Exception as e:
+            log.error("Game ID {} not found.".format(game_id))
+            log.error(e)
+            raise e
+
+    def _load_pgstats(self, game):
+        """
+        Retrieve the game stats from the database for the game in question.
+
+        :param game: the game record whose player stats will be retrieved
+        :return: list of PlayerGameStat
+        """
+        try:
+            pgstats_raw = self.session.query(PlayerGameStat)\
+                .filter(PlayerGameStat.game_id==game.game_id)\
+                .filter(PlayerGameStat.player_id > 2)\
+                .all()
+
+        except Exception as e:
+            log.error("Error fetching player_game_stat records for game {}".format(game.game_id))
+            log.error(e)
+            raise e
+
+        pgstats = []
+        for pgstat in pgstats_raw:
+            # ensure warmup isn't included in the pgstat records
+            if pgstat.alivetime > game.duration:
+                pgstat.alivetime = game.duration
+
+            # ensure players played enough of the match to be included
+            k = KREDUCTION.eval(pgstat.alivetime.total_seconds(), game.duration.total_seconds())
+            if k <= 0.0:
+                continue
+            else:
+                pgstats.append(pgstat)
+
+        return pgstats
+
+    def _load_glicko_wip(self, player_id, game_type_cd, category):
+        """
+        Retrieve a PlayerGlicko record from the database.
+
+        :param player_id: the player ID to fetch
+        :param game_type_cd: the game type code
+        :param category: the category of glicko to retrieve
+        :return: PlayerGlicko
+        """
+        if (player_id, game_type_cd, category) in self.wips:
+            return self.wips[(player_id, game_type_cd, category)]
+
+        try:
+            pg = self.session.query(PlayerGlicko)\
+                     .filter(PlayerGlicko.player_id==player_id)\
+                     .filter(PlayerGlicko.game_type_cd==game_type_cd)\
+                     .filter(PlayerGlicko.category==category)\
+                     .one()
+
+        except:
+            pg = PlayerGlicko(player_id, game_type_cd, category)
+
+        # cache this in the wips dict
+        wip = GlickoWIP(pg)
+        self.wips[(player_id, game_type_cd, category)] = wip
+
+        return wip
+
+    def load(self, game_id):
+        """
+        Load all of the needed information from the database. Compute results for each player pair.
+        """
+        game = self._load_game(game_id)
+        pgstats = self._load_pgstats(game)
+        game_type_cd = game.game_type_cd
+        category = game.category
+
+        # calculate results:
+        #   wipi/j => work in progress record for player i/j
+        #   ki/j   => k reduction value for player i/j
+        #   si/j   => score per second for player i/j
+        #   pi/j   => ping ratio for player i/j
+        for i in xrange(0, len(pgstats)):
+            wipi = self._load_glicko_wip(pgstats[i].player_id, game_type_cd, category)
+            ki = KREDUCTION.eval(pgstats[i].alivetime.total_seconds(),
+                                 game.duration.total_seconds())
+            si = pgstats[i].score/float(game.duration.total_seconds())
+
+            for j in xrange(i+1, len(pgstats)):
+                # ping factor is opponent-specific
+                pi = self._pingratio(pgstats[i].avg_latency, pgstats[j].avg_latency)
+                pj = 1.0 - pi
+
+                wipj = self._load_glicko_wip(pgstats[j].player_id, game_type_cd, category)
+                kj = KREDUCTION.eval(pgstats[j].alivetime.total_seconds(),
+                                     game.duration.total_seconds())
+                sj = pgstats[j].score/float(game.duration.seconds)
+
+                # normalize scores
+                ofs = min(0.0, si, sj)
+                si -= ofs
+                sj -= ofs
+                if si + sj == 0:
+                    si, sj = 1, 1 # a draw
+
+                scorefactor_i = si / float(si + sj)
+                scorefactor_j = 1.0 - si
+
+                wipi.k_factors.append(ki)
+                wipi.ping_factors.append(pi)
+                wipi.opponents.append(wipj.pg)
+                wipi.results.append(scorefactor_i)
+
+                wipj.k_factors.append(kj)
+                wipj.ping_factors.append(pj)
+                wipj.opponents.append(wipi.pg)
+                wipj.results.append(scorefactor_j)
+
+    def process(self):
+        """
+        Calculate the Glicko2 ratings, deviations, and volatility updates for the records loaded.
+        """
+        for wip in self.wips.values():
+            new_pg = rate(wip.pg, wip.opponents, wip.results)
+
+            log.debug("New rating for player {} before factors: mu={} phi={} sigma={}"
+                      .format(pg.player_id, new_pg.mu, new_pg.phi, new_pg.sigma))
+
+            avg_k_factor = sum(wip.k_factors)/len(wip.k_factors)
+            avg_ping_factor = LATENCY_TREND_FACTOR * sum(wip.ping_factors)/len(wip.ping_factors)
+
+            points_delta = (new_pg.mu - wip.pg.mu) * avg_k_factor * avg_ping_factor
+
+            wip.pg.mu += points_delta
+            wip.pg.phi = new_pg.phi
+            wip.pg.sigma = new_pg.sigma
+
+            log.debug("New rating for player {} after factors: mu={} phi={} sigma={}"
+                      .format(wip.pg.player_id, wip.pg.mu, wip.pg.phi, wip.pg.sigma))
+
+    def save(self, session):
+        """
+        Put all changed PlayerElo and PlayerGameStat instances into the
+        session to be updated or inserted upon commit.
+        """
+        pass
+
+
 def main():
     # the example in the actual Glicko2 paper, for verification purposes
     pA = PlayerGlicko(1, "duel", mu=1500, phi=200)