hanabi-league/ratings.py

164 lines
6.5 KiB
Python

from typing import List, Dict, Tuple
import utils
from database import conn_manager
import psycopg2.extras
from log_setup import logger
def rating_change(user_ratings: Dict[int, float], variant_rating: float, win: bool) -> Tuple[Dict[int, float], float]:
"""
@param user_ratings: Mapping of user ids to ratings that played this game.
@param variant_rating: Rating of the variant that was played
@param win: Whether the team won the game
@return: Mapping of user ids to their rating *changes* and *change* in variant rating
"""
# TODO: Implement this properly (We have not decided how this will work exactly)
# For now, return +1 elo for players and -1 elo for variants
return {user_id: 1 for user_id in user_ratings.keys()}, -1
def next_game_to_rate():
cur = conn_manager.get_new_cursor()
cur.execute("SELECT games.id FROM games "
"LEFT OUTER JOIN user_ratings"
" ON games.league_id = user_ratings.league_id "
"WHERE user_ratings.league_id IS NULL "
"ORDER BY games.league_id ASC "
"LIMIT 1"
)
query_result = cur.fetchone()
if query_result is None:
return
(game_id,) = query_result
return game_id
def get_current_user_ratings(user_ids: List[int], rating_type: int) -> Dict[int, float]:
"""
Fetches the current ratings for specified players and rating type from DB
@return: Mapping user_id -> current rating
"""
cur = conn_manager.get_new_cursor()
cur.execute("SELECT user_id, rating FROM user_base_ratings "
"WHERE user_id IN ({}) AND type = %s".format(", ".join("%s" for _ in user_ids)),
user_ids + [rating_type]
)
base_ratings = cur.fetchall()
cur.execute("SELECT user_ratings.user_id, value_after FROM user_ratings "
"INNER JOIN ("
" SELECT user_id, type, MAX(league_id) AS max_league_id"
" FROM user_ratings "
" GROUP BY (user_id, type)"
" ) AS latest_user_ratings "
" ON user_ratings.league_id = latest_user_ratings.max_league_id "
"WHERE user_ratings.user_id IN ({}) AND user_ratings.type = %s".format(", ".join("%s" for _ in user_ids)),
user_ids + [rating_type]
)
current_ratings = cur.fetchall()
ratings: Dict[int, float] = {}
for user_id, base_rating in base_ratings:
ratings[user_id] = base_rating
for user_id, rating in current_ratings:
ratings[user_id] = rating
return ratings
def get_current_variant_rating(variant_id: int, player_count: int) -> float:
cur = conn_manager.get_new_cursor()
cur.execute("SELECT value_after FROM variant_ratings "
"INNER JOIN ("
" SELECT variant_id, player_count, MAX(league_id) AS max_league_id"
" FROM variant_ratings "
" GROUP BY (variant_id, player_count)"
" ) AS latest_variant_ratings "
" ON variant_ratings.league_id = latest_variant_ratings.max_league_id "
"WHERE variant_ratings.variant_id = %s AND variant_ratings.player_count = %s",
(variant_id, player_count)
)
query_result = cur.fetchone()
if query_result is not None:
(current_rating, ) = query_result
return current_rating
# Reaching this point of code execution just means this is the first game for this variant rating
cur.execute("SELECT rating FROM variant_base_ratings "
"WHERE variant_id = %s AND player_count = %s",
(variant_id, player_count)
)
query_result = cur.fetchone()
if query_result is None:
err_msg = "Failed to get current variant rating for variant {}.".format(variant_id)
logger.error(err_msg)
raise ValueError(err_msg)
(base_rating, ) = query_result
return base_rating
def process_rating_of_next_game():
game_id = next_game_to_rate()
if game_id is None:
logger.verbose("All games already processed for rating changes.")
return
logger.verbose("Processing rating for game {}".format(game_id))
cur = conn_manager.get_new_cursor()
# Fetch data on the game played
cur.execute(
"SELECT games.league_id, games.num_players, games.score, variants.num_suits, variants.clue_starved, variants.id "
"FROM games "
"INNER JOIN variants "
" ON games.variant_id = variants.id "
"WHERE games.id = %s",
(game_id,)
)
league_id, num_players, score, num_suits, clue_starved, variant_id = cur.fetchone()
# Fetch game participants
cur.execute("SELECT game_participants.user_id FROM games "
"INNER JOIN game_participants "
" ON games.id = game_participants.game_id "
"WHERE games.id = %s",
(game_id,)
)
user_ids = cur.fetchall()
if len(user_ids) != num_players:
err_msg = "Player number mismatch: Expected {} participants for game {}, but only found {} in DB: [{}]".format(
num_players, game_id, len(user_ids), ", ".join(user_ids)
)
logger.error(err_msg)
raise ValueError(err_msg)
# Fetch current ratings of variant and players involved
rating_type = utils.get_rating_type(clue_starved)
user_ratings = get_current_user_ratings(user_ids, rating_type)
variant_rating = get_current_variant_rating(variant_id, num_players)
# Calculate changes in rating
# TODO: If we want to use, we still have to think about how to define the K-factor and add it here
user_changes, variant_change = rating_change(user_ratings, variant_rating, score == 5 * num_suits)
# Update database for variants
cur.execute("INSERT INTO variant_ratings (league_id, variant_id, player_count, change, value_after) "
"VALUES (%s, %s, %s, %s, %s)",
(league_id, variant_id, num_players, variant_change, variant_rating + variant_change)
)
# Note: We do not commit here, only after players have been processed as well
user_ratings_vals = []
for user_id, change in user_changes.items():
user_ratings_vals.append((league_id, user_id, rating_type, change, user_ratings[user_id] + change))
# This updates the player rating.
psycopg2.extras.execute_values(
cur,
"INSERT INTO user_ratings (league_id, user_id, type, change, value_after) "
"VALUES %s",
user_ratings_vals
)
conn_manager.get_connection().commit()