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#!/usr/bin/python3
import os
import time
import logging
from sqlalchemy.orm import Session, relationship, subqueryload, load_only, selectinload
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.exc import OperationalError
from sqlalchemy import create_engine
import pika
import trueskill
RABBITMQ_URI = os.environ.get("RABBITMQ_URI") or "amqp://localhost"
DATABASE_URI = os.environ["DATABASE_URI"]
BATCHSIZE = int(os.environ.get("BATCHSIZE") or 500) # matches
CHUNKSIZE = int(os.environ.get("CHUNKSIZE") or 100) # matches
IDLE_TIMEOUT = float(os.environ.get("IDLE_TIMEOUT") or 1) # s
# mapping from Tier (-1 - 30) to average skill tier points
vst_points = {
-1: 1,
0: 1
}
for c in range(1, 12):
vst_points[c] = (109 + 1/11) * (c + 0.5)
for c in range(1, 5):
vst_points[11 + c] = vst_points[11] + 50 * (c + 0.5)
for c in range(1, 10):
vst_points[15 + c] = vst_points[15] + (66 + 2/3) * (c + 0.5)
for c in range(1, 4):
vst_points[24 + c] = vst_points[24] + (133 + 1/3) * (c + 0.5)
for c in range(1, 3):
vst_points[27 + c] = vst_points[27] + 200 * (c + 0.5)
# ---
# ORM definitions
Match = Roster = Participant = ParticipantStats = Player = None
db = rabbit = channel = None
# batch storage
queue = []
timer = None
# models
mvpmodel = None
def connect():
global Match, Roster, Participant, ParticipantStats, Player
global db, rabbit, channel
# generate schema from db
Base = automap_base()
engine = create_engine(DATABASE_URI, pool_size=1, pool_recycle=3600)
while True:
try:
Base.prepare(engine, reflect=True)
break
except OperationalError as err:
logging.error(err)
time.sleep(5)
# definitions
# TODO check whether the primaryjoin clause is the best method to do this
Match = Base.classes.match
Match.rosters = relationship(
"roster", foreign_keys="roster.match_api_id",
primaryjoin="and_(match.api_id == roster.match_api_id)")
Match.participants = relationship(
"participant", foreign_keys="participant.match_api_id",
primaryjoin="and_(match.api_id == participant.match_api_id)")
Roster = Base.classes.roster
Roster.match = relationship(
"match", foreign_keys="match.api_id",
primaryjoin="and_(match.api_id == roster.match_api_id)")
Roster.participants = relationship(
"participant", foreign_keys="participant.roster_api_id",
primaryjoin="and_(roster.api_id == participant.roster_api_id)")
Participant = Base.classes.participant
Participant.roster = relationship(
"roster", foreign_keys="roster.api_id",
primaryjoin="and_(roster.api_id == participant.roster_api_id)")
Participant.match = relationship(
"match", foreign_keys="match.api_id",
primaryjoin="and_(match.api_id == participant.match_api_id)")
Participant.player = relationship(
"player", foreign_keys="player.api_id",
primaryjoin="and_(player.api_id == participant.player_api_id)")
ParticipantStats = Base.classes.participant_stats
Participant.participant_stats = relationship(
"participant_stats", foreign_keys="participant_stats.participant_api_id",
primaryjoin="and_(participant_stats.participant_api_id == participant.api_id)")
Player = Base.classes.player
db = Session(engine)
while True:
try:
rabbit = pika.BlockingConnection(pika.URLParameters(RABBITMQ_URI))
break
except pika.exceptions.ConnectionClosed as err:
logging.error(err)
time.sleep(5)
channel = rabbit.channel()
channel.queue_declare(queue="analyze", durable=True)
channel.basic_qos(prefetch_count=BATCHSIZE)
channel.basic_consume(newjob, queue="analyze")
def newjob(_, method, properties, body):
global timer, queue
queue.append((method, properties, body))
if timer is None:
timer = rabbit.add_timeout(IDLE_TIMEOUT, process)
if len(queue) == BATCHSIZE:
process()
def process():
global timer, queue, db, mvpmodel
if timer is not None:
rabbit.remove_timeout(timer)
timer = None
jobs = queue[:]
queue = []
logging.info("analyzing batch %s", str(len(jobs)))
ids = list(set([str(id, "utf-8") for _, _, id in jobs]))
with db.no_autoflush:
env = trueskill.TrueSkill(
backend="mpmath",
mu=1500,
sigma=1000,
beta=10.0/30*3000,
tau=1000/100,
draw_probability=0
)
for match in db.query(Match).options(\
load_only("api_id")\
.selectinload(Match.rosters)\
.load_only("api_id", "match_api_id", "winner")\
.selectinload(Roster.participants)\
.load_only("api_id", "match_api_id", "roster_api_id",
"player_api_id", "skill_tier", "went_afk",
"trueskill_sigma", "trueskill_mu")\
.selectinload(Participant.player)\
.load_only("api_id", "trueskill_sigma", "trueskill_mu")\
).filter(Match.api_id.in_(ids)).yield_per(CHUNKSIZE):
matchup = []
anyAfk = False
for roster in match.rosters:
for participant in roster.participants:
if participant.went_afk == 1:
anyAfk = True
break
if len(match.rosters) < 2:
logging.error("got an invalid matchup %s", match.api_id)
match.trueskill_quality = 0
continue
if anyAfk:
logging.error("got an afk matchup %s", match.api_id)
match.trueskill_quality = 0
continue
for roster in match.rosters:
team = []
for participant in roster.participants:
player = participant.player[0]
mu = participant.trueskill_mu or player.trueskill_mu
sigma = participant.trueskill_sigma or player.trueskill_sigma or 500
if mu is None:
# no data -> approximate ts by VST
mu = vst_points[participant.skill_tier] + sigma
player.trueskill_mu = mu
player.trueskill_sigma = sigma
# store pre match values
participant.trueskill_mu = mu
participant.trueskill_sigma = sigma
team.append(env.create_rating(float(mu), float(sigma)))
matchup.append(team)
logging.info("got a valid matchup %s", match.api_id)
# store the fairness of the match
match.trueskill_quality = env.quality(matchup)
for team, roster in zip(env.rate(matchup, ranks=[int(not r.winner) for r in match.rosters]),
match.rosters):
# lower rank is better = winner!
for rating, participant in zip(team, roster.participants):
player = participant.player[0]
participant.trueskill_delta = (rating.mu - rating.sigma) - (float(player.trueskill_mu) - float(player.trueskill_sigma))
if player.trueskill_mu == participant.trueskill_mu \
and player.trueskill_sigma == participant.trueskill_sigma:
# match hasn't been rated before
player.trueskill_mu = rating.mu
player.trueskill_sigma = rating.sigma
db.commit()
# ack all until this one
logging.info("acking batch")
channel.basic_ack(jobs[-1][0].delivery_tag, multiple=True)
# notify web
for api_id in ids:
channel.basic_publish("amq.topic", "participant." + api_id,
"stats_update")
logging.basicConfig(level=logging.INFO)
if __name__ == "__main__":
connect()
channel.start_consuming()
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