feat!: overhaul the entire rating algorithm

I am far, FAR too lazy to split this into multiple commits, so here it
is.
This commit is contained in:
Kiana Sheibani 2024-08-17 21:54:57 -04:00
parent c2158f85f7
commit 4b44b82531
Signed by: toki
GPG key ID: 6CB106C25E86A9F7
4 changed files with 328 additions and 648 deletions

View file

@ -1,6 +1,5 @@
use crate::queries::*; use crate::queries::*;
use sqlite::*; use sqlite::*;
use std::fs::{self, OpenOptions};
use std::path::{Path, PathBuf}; use std::path::{Path, PathBuf};
pub struct DatasetMetadata { pub struct DatasetMetadata {
@ -14,15 +13,14 @@ pub struct DatasetMetadata {
pub country: Option<String>, pub country: Option<String>,
pub state: Option<String>, pub state: Option<String>,
pub set_limit: u64, pub decay_const: f64,
pub decay_rate: f64, pub var_const: f64,
pub adj_decay_rate: f64,
pub period: f64,
pub tau: f64,
} }
/// Return the path to the datasets file. /// Return the path to the datasets file.
fn datasets_path(dir: &Path) -> std::io::Result<PathBuf> { fn datasets_path(dir: &Path) -> std::io::Result<PathBuf> {
use std::fs::{self, OpenOptions};
let mut path = dir.to_owned(); let mut path = dir.to_owned();
// Create datasets path if it doesn't exist // Create datasets path if it doesn't exist
@ -50,11 +48,8 @@ CREATE TABLE IF NOT EXISTS datasets (
game_slug TEXT NOT NULL, game_slug TEXT NOT NULL,
country TEXT, country TEXT,
state TEXT, state TEXT,
set_limit INTEGER NOT NULL,
decay_rate REAL NOT NULL, decay_rate REAL NOT NULL,
adj_decay_rate REAL NOT NULL, var_const REAL NOT NULL
period REAL NOT NULL,
tau REAL NOT NULL
) STRICT; ) STRICT;
CREATE TABLE IF NOT EXISTS players ( CREATE TABLE IF NOT EXISTS players (
@ -113,11 +108,8 @@ pub fn list_datasets(connection: &Connection) -> sqlite::Result<Vec<(String, Dat
game_slug: r_.read::<&str, _>("game_slug").to_owned(), game_slug: r_.read::<&str, _>("game_slug").to_owned(),
country: r_.read::<Option<&str>, _>("country").map(String::from), country: r_.read::<Option<&str>, _>("country").map(String::from),
state: r_.read::<Option<&str>, _>("state").map(String::from), state: r_.read::<Option<&str>, _>("state").map(String::from),
set_limit: r_.read::<i64, _>("set_limit") as u64, decay_const: r_.read::<f64, _>("decay_rate"),
decay_rate: r_.read::<f64, _>("decay_rate"), var_const: r_.read::<f64, _>("adj_decay_rate"),
adj_decay_rate: r_.read::<f64, _>("adj_decay_rate"),
period: r_.read::<f64, _>("period"),
tau: r_.read::<f64, _>("tau"),
}, },
)) ))
}) })
@ -157,17 +149,14 @@ pub fn new_dataset(
dataset: &str, dataset: &str,
metadata: DatasetMetadata, metadata: DatasetMetadata,
) -> sqlite::Result<()> { ) -> sqlite::Result<()> {
let query1 = r#"INSERT INTO datasets VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)"#; let query1 = r#"INSERT INTO datasets VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)"#;
let query2 = format!( let query2 = format!(
r#"CREATE TABLE "{0}_players" ( r#"CREATE TABLE "{0}_players" (
id INTEGER PRIMARY KEY REFERENCES players, id INTEGER PRIMARY KEY REFERENCES players,
last_played INTEGER NOT NULL,
deviation REAL NOT NULL,
volatility REAL NOT NULL,
sets_won TEXT NOT NULL, sets_won TEXT NOT NULL DEFAULT '',
sets_count_won INTEGER AS (length(sets_won) - length(replace(sets_won, ';', ''))), sets_count_won INTEGER AS (length(sets_won) - length(replace(sets_won, ';', ''))),
sets_lost TEXT NOT NULL, sets_lost TEXT NOT NULL DEFAULT '',
sets_count_lost INTEGER AS (length(sets_lost) - length(replace(sets_lost, ';', ''))), sets_count_lost INTEGER AS (length(sets_lost) - length(replace(sets_lost, ';', ''))),
sets TEXT AS (sets_won || sets_lost), sets TEXT AS (sets_won || sets_lost),
sets_count INTEGER AS (sets_count_won + sets_count_lost) sets_count INTEGER AS (sets_count_won + sets_count_lost)
@ -177,10 +166,12 @@ CREATE TABLE "{0}_network" (
player_A INTEGER NOT NULL, player_A INTEGER NOT NULL,
player_B INTEGER NOT NULL, player_B INTEGER NOT NULL,
advantage REAL NOT NULL, advantage REAL NOT NULL,
variance REAL NOT NULL,
last_updated INTEGER NOT NULL,
sets_A TEXT NOT NULL, sets_A TEXT NOT NULL DEFAULT '',
sets_count_A INTEGER AS (length(sets_A) - length(replace(sets_A, ';', ''))), sets_count_A INTEGER AS (length(sets_A) - length(replace(sets_A, ';', ''))),
sets_B TEXT NOT NULL, sets_B TEXT NOT NULL DEFAULT '',
sets_count_B INTEGER AS (length(sets_B) - length(replace(sets_B, ';', ''))), sets_count_B INTEGER AS (length(sets_B) - length(replace(sets_B, ';', ''))),
sets TEXT AS (sets_A || sets_B), sets TEXT AS (sets_A || sets_B),
sets_count INTEGER AS (sets_count_A + sets_count_B), sets_count INTEGER AS (sets_count_A + sets_count_B),
@ -208,11 +199,8 @@ CREATE INDEX "{0}_network_B" ON "{0}_network" (player_B);"#,
.bind((7, &metadata.game_slug[..]))? .bind((7, &metadata.game_slug[..]))?
.bind((8, metadata.country.as_deref()))? .bind((8, metadata.country.as_deref()))?
.bind((9, metadata.state.as_deref()))? .bind((9, metadata.state.as_deref()))?
.bind((10, metadata.set_limit as i64))? .bind((10, metadata.decay_const))?
.bind((11, metadata.decay_rate))? .bind((11, metadata.var_const))?
.bind((12, metadata.adj_decay_rate))?
.bind((13, metadata.period))?
.bind((14, metadata.tau))?
.try_for_each(|x| x.map(|_| ()))?; .try_for_each(|x| x.map(|_| ()))?;
connection.execute(query2) connection.execute(query2)
@ -242,11 +230,8 @@ pub fn get_metadata(
game_slug: r_.read::<&str, _>("game_slug").to_owned(), game_slug: r_.read::<&str, _>("game_slug").to_owned(),
country: r_.read::<Option<&str>, _>("country").map(String::from), country: r_.read::<Option<&str>, _>("country").map(String::from),
state: r_.read::<Option<&str>, _>("state").map(String::from), state: r_.read::<Option<&str>, _>("state").map(String::from),
set_limit: r_.read::<i64, _>("set_limit") as u64, decay_const: r_.read::<f64, _>("decay_rate"),
decay_rate: r_.read::<f64, _>("decay_rate"), var_const: r_.read::<f64, _>("var_const"),
adj_decay_rate: r_.read::<f64, _>("adj_decay_rate"),
period: r_.read::<f64, _>("period"),
tau: r_.read::<f64, _>("tau"),
}) })
}) })
.and_then(Result::ok)) .and_then(Result::ok))
@ -290,19 +275,15 @@ pub fn add_set(connection: &Connection, set: &SetId, event: EventId) -> sqlite::
pub fn add_players( pub fn add_players(
connection: &Connection, connection: &Connection,
dataset: &str, dataset: &str,
teams: &Teams<PlayerData>, players: &Vec<PlayerData>,
time: Timestamp,
) -> sqlite::Result<()> { ) -> sqlite::Result<()> {
let query1 = "INSERT OR IGNORE INTO players (id, discrim, name, prefix) VALUES (?, ?, ?, ?)"; let query1 = "INSERT OR IGNORE INTO players (id, discrim, name, prefix) VALUES (?, ?, ?, ?)";
let query2 = format!( let query2 = format!(
r#"INSERT OR IGNORE INTO "{}_players" r#"INSERT OR IGNORE INTO "{}_players" (id) VALUES (?)"#,
(id, last_played, deviation, volatility, sets_won, sets_lost)
VALUES (?, ?, 2.01, 0.06, '', '')"#,
dataset dataset
); );
teams.iter().try_for_each(|team| { players.iter().try_for_each(
team.iter().try_for_each(
|PlayerData { |PlayerData {
id, id,
name, name,
@ -318,11 +299,22 @@ pub fn add_players(
statement = connection.prepare(&query2)?; statement = connection.prepare(&query2)?;
statement.bind((1, id.0 as i64))?; statement.bind((1, id.0 as i64))?;
statement.bind((2, time.0 as i64))?;
statement.into_iter().try_for_each(|x| x.map(|_| ())) statement.into_iter().try_for_each(|x| x.map(|_| ()))
}, },
) )
}
pub fn get_all_players(connection: &Connection, dataset: &str) -> sqlite::Result<Vec<PlayerId>> {
let query = format!(r#"SELECT id FROM "{}_players""#, dataset,);
connection
.prepare(&query)?
.into_iter()
.map(|r| {
let r_ = r?;
Ok(PlayerId(r_.read::<i64, _>("id") as u64))
}) })
.try_collect()
} }
pub fn get_player(connection: &Connection, player: PlayerId) -> sqlite::Result<PlayerData> { pub fn get_player(connection: &Connection, player: PlayerId) -> sqlite::Result<PlayerData> {
@ -375,26 +367,6 @@ pub fn match_player_name(connection: &Connection, name: &str) -> sqlite::Result<
.try_collect() .try_collect()
} }
pub fn get_player_rating_data(
connection: &Connection,
dataset: &str,
player: PlayerId,
) -> sqlite::Result<(f64, f64, Timestamp)> {
let query = format!(
r#"SELECT deviation, volatility, last_played FROM "{}_players" WHERE id = ?"#,
dataset
);
let mut statement = connection.prepare(&query)?;
statement.bind((1, player.0 as i64))?;
statement.next()?;
Ok((
statement.read::<f64, _>("deviation")?,
statement.read::<f64, _>("volatility")?,
Timestamp(statement.read::<i64, _>("last_played")? as u64),
))
}
pub fn get_player_set_counts( pub fn get_player_set_counts(
connection: &Connection, connection: &Connection,
dataset: &str, dataset: &str,
@ -436,27 +408,21 @@ pub fn get_matchup_set_counts(
)) ))
} }
pub fn set_player_data( pub fn set_player_set_counts(
connection: &Connection, connection: &Connection,
dataset: &str, dataset: &str,
player: PlayerId, player: PlayerId,
last_played: Timestamp,
deviation: f64,
volatility: f64,
won: bool, won: bool,
set: &SetId, set: &SetId,
) -> sqlite::Result<()> { ) -> sqlite::Result<()> {
let query = format!( let query = format!(
r#"UPDATE "{}_players" SET deviation = :dev, volatility = :vol, last_played = :last, r#"UPDATE "{}_players" SET
sets_won = iif(:won, sets_won || :set || ';', sets_won), sets_won = iif(:won, sets_won || :set || ';', sets_won),
sets_lost = iif(:won, sets_lost, sets_lost || :set || ';') WHERE id = :id"#, sets_lost = iif(:won, sets_lost, sets_lost || :set || ';') WHERE id = :id"#,
dataset dataset
); );
let mut statement = connection.prepare(&query)?; let mut statement = connection.prepare(&query)?;
statement.bind((":dev", deviation))?;
statement.bind((":vol", volatility))?;
statement.bind((":last", last_played.0 as i64))?;
statement.bind((":id", player.0 as i64))?; statement.bind((":id", player.0 as i64))?;
statement.bind((":won", if won { 1 } else { 0 }))?; statement.bind((":won", if won { 1 } else { 0 }))?;
statement.bind((":set", &set.0.to_string()[..]))?; statement.bind((":set", &set.0.to_string()[..]))?;
@ -464,18 +430,18 @@ pub fn set_player_data(
Ok(()) Ok(())
} }
pub fn get_advantage( pub fn get_network_data(
connection: &Connection, connection: &Connection,
dataset: &str, dataset: &str,
player1: PlayerId, player1: PlayerId,
player2: PlayerId, player2: PlayerId,
) -> sqlite::Result<Option<f64>> { ) -> sqlite::Result<Option<(f64, f64)>> {
if player1 == player2 { if player1 == player2 {
return Ok(Some(0.0)); return Ok(Some((0.0, 0.0)));
} }
let query = format!( let query = format!(
r#"SELECT iif(:a > :b, -advantage, advantage) AS advantage FROM "{}_network" r#"SELECT iif(:a > :b, -advantage, advantage) AS advantage, variance FROM "{}_network"
WHERE player_A = min(:a, :b) AND player_B = max(:a, :b)"#, WHERE player_A = min(:a, :b) AND player_B = max(:a, :b)"#,
dataset dataset
); );
@ -484,20 +450,24 @@ pub fn get_advantage(
statement.bind((":a", player1.0 as i64))?; statement.bind((":a", player1.0 as i64))?;
statement.bind((":b", player2.0 as i64))?; statement.bind((":b", player2.0 as i64))?;
statement.next()?; statement.next()?;
statement.read::<Option<f64>, _>("advantage") Ok(statement
.read::<Option<f64>, _>("advantage")?
.zip(statement.read::<Option<f64>, _>("variance")?))
} }
pub fn insert_advantage( pub fn insert_network_data(
connection: &Connection, connection: &Connection,
dataset: &str, dataset: &str,
player1: PlayerId, player1: PlayerId,
player2: PlayerId, player2: PlayerId,
advantage: f64, advantage: f64,
variance: f64,
time: Timestamp,
) -> sqlite::Result<()> { ) -> sqlite::Result<()> {
let query = format!( let query = format!(
r#"INSERT INTO "{}_network" r#"INSERT INTO "{}_network"
(player_A, player_B, advantage, sets_A, sets_B) (player_A, player_B, advantage, variance, last_updated)
VALUES (min(:a, :b), max(:a, :b), iif(:a > :b, -:v, :v), '', '')"#, VALUES (min(:a, :b), max(:a, :b), iif(:a > :b, -:v, :v), :d, :t)"#,
dataset dataset
); );
@ -505,30 +475,65 @@ pub fn insert_advantage(
statement.bind((":a", player1.0 as i64))?; statement.bind((":a", player1.0 as i64))?;
statement.bind((":b", player2.0 as i64))?; statement.bind((":b", player2.0 as i64))?;
statement.bind((":v", advantage))?; statement.bind((":v", advantage))?;
statement.bind((":d", variance))?;
statement.bind((":t", time.0 as i64))?;
statement.into_iter().try_for_each(|x| x.map(|_| ())) statement.into_iter().try_for_each(|x| x.map(|_| ()))
} }
pub fn adjust_advantages( pub fn adjust_for_time(
connection: &Connection, connection: &Connection,
dataset: &str, dataset: &str,
set: SetId, player: PlayerId,
var_const: f64,
time: Timestamp,
) -> sqlite::Result<()> {
let query = format!(
r#"UPDATE "{0}_network" SET
variance = min(variance + :c * (:t - last_updated), 5.0),
last_updated = :t
WHERE player_A = :i OR player_B = :i"#,
dataset
);
let mut statement = connection.prepare(query)?;
statement.bind((":i", player.0 as i64))?;
statement.bind((":c", var_const))?;
statement.bind((":t", time.0 as i64))?;
statement.into_iter().try_for_each(|x| x.map(|_| ()))
}
pub fn glicko_adjust(
connection: &Connection,
dataset: &str,
set: &SetId,
player1: PlayerId, player1: PlayerId,
player2: PlayerId, player2: PlayerId,
advantage: f64,
variance: f64,
winner: usize, winner: usize,
adjust1: f64,
adjust2: f64,
decay_rate: f64, decay_rate: f64,
) -> sqlite::Result<()> { ) -> sqlite::Result<()> {
let score = if winner != 0 { 1.0 } else { 0.0 };
let exp_val = 1.0 / (1.0 + (-advantage).exp());
let like_var = 1.0 / exp_val / (1.0 - exp_val);
let var_new = 1.0 / (1.0 / variance + 1.0 / like_var);
let adjust = score - exp_val;
let query1 = format!( let query1 = format!(
r#"UPDATE "{}_network" r#"UPDATE "{}_network" SET
SET advantage = advantage + iif(:pl = player_A, -:v, :v) * :d variance = 1.0 / (1.0 / variance + :d / :lv),
advantage = advantage + :d * iif(:pl = player_A, -:adj, :adj)
/ (1.0 / variance + :d / :lv)
WHERE (player_A = :pl AND player_B != :plo) WHERE (player_A = :pl AND player_B != :plo)
OR (player_B = :pl AND player_A != :plo)"#, OR (player_B = :pl AND player_A != :plo)"#,
dataset dataset
); );
let query2 = format!( let query2 = format!(
r#"UPDATE "{}_network" r#"UPDATE "{}_network" SET
SET advantage = advantage + iif(:a > :b, -:v, :v), variance = :var,
advantage = advantage + iif(:a > :b, -:adj, :adj) * :var,
sets_A = iif(:w = (:a > :b), sets_A || :set || ';', sets_A), sets_A = iif(:w = (:a > :b), sets_A || :set || ';', sets_A),
sets_B = iif(:w = (:b > :a), sets_B || :set || ';', sets_B) sets_B = iif(:w = (:b > :a), sets_B || :set || ';', sets_B)
WHERE player_A = min(:a, :b) AND player_B = max(:a, :b)"#, WHERE player_A = min(:a, :b) AND player_B = max(:a, :b)"#,
@ -538,21 +543,24 @@ WHERE player_A = min(:a, :b) AND player_B = max(:a, :b)"#,
let mut statement = connection.prepare(&query1)?; let mut statement = connection.prepare(&query1)?;
statement.bind((":pl", player1.0 as i64))?; statement.bind((":pl", player1.0 as i64))?;
statement.bind((":plo", player2.0 as i64))?; statement.bind((":plo", player2.0 as i64))?;
statement.bind((":v", adjust1))?; statement.bind((":adj", -0.5 * adjust))?;
statement.bind((":d", decay_rate))?; statement.bind((":d", decay_rate))?;
statement.bind((":lv", like_var))?;
statement.into_iter().try_for_each(|x| x.map(|_| ()))?; statement.into_iter().try_for_each(|x| x.map(|_| ()))?;
statement = connection.prepare(&query1)?; statement = connection.prepare(&query1)?;
statement.bind((":pl", player2.0 as i64))?; statement.bind((":pl", player2.0 as i64))?;
statement.bind((":plo", player1.0 as i64))?; statement.bind((":plo", player1.0 as i64))?;
statement.bind((":v", adjust2))?; statement.bind((":adj", 0.5 * adjust))?;
statement.bind((":d", decay_rate))?; statement.bind((":d", decay_rate))?;
statement.bind((":lv", like_var))?;
statement.into_iter().try_for_each(|x| x.map(|_| ()))?; statement.into_iter().try_for_each(|x| x.map(|_| ()))?;
statement = connection.prepare(&query2)?; statement = connection.prepare(&query2)?;
statement.bind((":a", player1.0 as i64))?; statement.bind((":a", player1.0 as i64))?;
statement.bind((":b", player2.0 as i64))?; statement.bind((":b", player2.0 as i64))?;
statement.bind((":v", adjust2 - adjust1))?; statement.bind((":adj", adjust))?;
statement.bind((":var", var_new))?;
statement.bind((":w", winner as i64))?; statement.bind((":w", winner as i64))?;
statement.bind((":set", &set.0.to_string()[..]))?; statement.bind((":set", &set.0.to_string()[..]))?;
statement.into_iter().try_for_each(|x| x.map(|_| ())) statement.into_iter().try_for_each(|x| x.map(|_| ()))
@ -562,11 +570,11 @@ pub fn get_edges(
connection: &Connection, connection: &Connection,
dataset: &str, dataset: &str,
player: PlayerId, player: PlayerId,
) -> sqlite::Result<Vec<(PlayerId, f64, u64)>> { ) -> sqlite::Result<Vec<(PlayerId, f64, f64)>> {
let query = format!( let query = format!(
r#"SELECT r#"SELECT
iif(:pl = player_B, player_A, player_B) AS id, iif(:pl = player_B, player_A, player_B) AS id,
iif(:pl = player_B, -advantage, advantage) AS advantage, sets_count iif(:pl = player_B, -advantage, advantage) AS advantage, variance
FROM "{}_network" FROM "{}_network"
WHERE player_A = :pl OR player_B = :pl"#, WHERE player_A = :pl OR player_B = :pl"#,
dataset dataset
@ -581,7 +589,7 @@ pub fn get_edges(
Ok(( Ok((
PlayerId(r_.read::<i64, _>("id") as u64), PlayerId(r_.read::<i64, _>("id") as u64),
r_.read::<f64, _>("advantage"), r_.read::<f64, _>("advantage"),
r_.read::<i64, _>("sets_count") as u64, r_.read::<f64, _>("variance"),
)) ))
}) })
.try_collect() .try_collect()
@ -616,20 +624,20 @@ pub fn hypothetical_advantage(
dataset: &str, dataset: &str,
player1: PlayerId, player1: PlayerId,
player2: PlayerId, player2: PlayerId,
set_limit: u64,
decay_rate: f64, decay_rate: f64,
adj_decay_rate: f64, ) -> sqlite::Result<(f64, f64)> {
) -> sqlite::Result<f64> {
use std::collections::{HashSet, VecDeque}; use std::collections::{HashSet, VecDeque};
// Check trivial cases // Check trivial cases
if player1 == player2 || either_isolated(connection, dataset, player1, player2)? { if player1 == player2 {
return Ok(0.0); return Ok((0.0, 0.0));
} else if decay_rate < 0.05 || either_isolated(connection, dataset, player1, player2)? {
return Ok((0.0, 5.0));
} }
let mut visited: HashSet<PlayerId> = HashSet::new(); let mut visited: HashSet<PlayerId> = HashSet::new();
let mut queue: VecDeque<(PlayerId, Vec<(f64, f64)>)> = let mut queue: VecDeque<(PlayerId, Vec<(f64, f64, f64)>)> =
VecDeque::from([(player1, Vec::from([(0.0, 1.0)]))]); VecDeque::from([(player1, Vec::from([(0.0, 0.0, 1.0 / decay_rate)]))]);
let mut final_paths = Vec::new(); let mut final_paths = Vec::new();
@ -638,7 +646,7 @@ pub fn hypothetical_advantage(
let connections = get_edges(connection, dataset, visiting)?; let connections = get_edges(connection, dataset, visiting)?;
for (id, adv, sets) in connections for (id, adv, var) in connections
.into_iter() .into_iter()
.filter(|(id, _, _)| !visited.contains(id)) .filter(|(id, _, _)| !visited.contains(id))
{ {
@ -652,12 +660,9 @@ pub fn hypothetical_advantage(
}; };
if rf.len() < 100 { if rf.len() < 100 {
let decay = if sets >= set_limit { let iter = paths
decay_rate .iter()
} else { .map(|(av, vr, dec)| (av + adv, vr + var, dec * decay_rate));
adj_decay_rate
};
let iter = paths.iter().map(|(a, d)| (a + adv, d * decay));
rf.extend(iter); rf.extend(iter);
rf.truncate(100); rf.truncate(100);
@ -667,22 +672,23 @@ pub fn hypothetical_advantage(
visited.insert(visiting); visited.insert(visiting);
} }
let max_decay = final_paths if final_paths.len() == 0 {
.iter()
.map(|x| x.1)
.max_by(|d1, d2| d1.partial_cmp(d2).unwrap());
if let Some(mdec) = max_decay {
let sum_decay = final_paths.iter().map(|x| x.1).sum::<f64>();
Ok(final_paths
.into_iter()
.map(|(adv, dec)| adv * dec)
.sum::<f64>()
/ sum_decay
* mdec)
} else {
// No paths found // No paths found
Ok(0.0) Ok((0.0, 5.0))
} else {
let sum_decay: f64 = final_paths.iter().map(|(_, _, dec)| dec).sum();
let (final_adv, final_var) = final_paths
.into_iter()
.fold((0.0, 0.0), |(av, vr), (adv, var, dec)| {
(av + adv * dec, vr + (var + adv * adv) * dec)
});
let mut final_adv = final_adv / sum_decay;
let mut final_var = final_var / sum_decay - final_adv * final_adv;
if final_var > 5.0 {
final_adv = final_adv * (5.0 / final_var).sqrt();
final_var = 5.0;
}
Ok((final_adv, final_var))
} }
} }
@ -691,21 +697,12 @@ pub fn initialize_edge(
dataset: &str, dataset: &str,
player1: PlayerId, player1: PlayerId,
player2: PlayerId, player2: PlayerId,
set_limit: u64,
decay_rate: f64, decay_rate: f64,
adj_decay_rate: f64, time: Timestamp,
) -> sqlite::Result<f64> { ) -> sqlite::Result<(f64, f64)> {
let adv = hypothetical_advantage( let (adv, var) = hypothetical_advantage(connection, dataset, player1, player2, decay_rate)?;
connection, insert_network_data(connection, dataset, player1, player2, adv, var, time)?;
dataset, Ok((adv, var))
player1,
player2,
set_limit,
decay_rate,
adj_decay_rate,
)?;
insert_advantage(connection, dataset, player1, player2, adv)?;
Ok(adv)
} }
// Tests // Tests
@ -729,8 +726,7 @@ CREATE TABLE IF NOT EXISTS datasets (
set_limit INTEGER NOT NULL, set_limit INTEGER NOT NULL,
decay_rate REAL NOT NULL, decay_rate REAL NOT NULL,
adj_decay_rate REAL NOT NULL, adj_decay_rate REAL NOT NULL,
period REAL NOT NULL, var_const
tau REAL NOT NULL
) STRICT; ) STRICT;
CREATE TABLE IF NOT EXISTS players ( CREATE TABLE IF NOT EXISTS players (
@ -769,11 +765,8 @@ CREATE TABLE IF NOT EXISTS sets (
game_slug: String::from("test"), game_slug: String::from("test"),
country: None, country: None,
state: None, state: None,
set_limit: 0, decay_const: 0.5,
decay_rate: 0.5, var_const: 0.00000001,
adj_decay_rate: 0.5,
period: (3600 * 24 * 30) as f64,
tau: 0.2,
} }
} }
@ -787,141 +780,4 @@ CREATE TABLE IF NOT EXISTS sets (
}) })
.collect() .collect()
} }
#[test]
fn sqlite_sanity_check() -> sqlite::Result<()> {
let test_value: i64 = 2;
let connection = sqlite::open(":memory:")?;
connection.execute(
r#"CREATE TABLE test (a INTEGER);
INSERT INTO test VALUES (1);
INSERT INTO test VALUES (2)"#,
)?;
let mut statement = connection.prepare("SELECT * FROM test WHERE a = ?")?;
statement.bind((1, test_value))?;
statement.next()?;
assert_eq!(statement.read::<i64, _>("a")?, test_value);
Ok(())
}
#[test]
fn test_players() -> sqlite::Result<()> {
let connection = mock_datasets()?;
new_dataset(&connection, "test", metadata())?;
add_players(&connection, "test", &vec![players(2)], Timestamp(0))?;
let mut statement = connection.prepare("SELECT * FROM players WHERE id = 1")?;
statement.next()?;
assert_eq!(statement.read::<i64, _>("id")?, 1);
assert_eq!(statement.read::<String, _>("name")?, "1");
assert_eq!(statement.read::<Option<String>, _>("prefix")?, None);
Ok(())
}
#[test]
fn edge_insert_get() -> sqlite::Result<()> {
let connection = mock_datasets()?;
new_dataset(&connection, "test", metadata())?;
add_players(&connection, "test", &vec![players(2)], Timestamp(0))?;
insert_advantage(&connection, "test", PlayerId(2), PlayerId(1), 1.0)?;
assert_eq!(
get_advantage(&connection, "test", PlayerId(1), PlayerId(2))?,
Some(-1.0)
);
assert_eq!(
get_advantage(&connection, "test", PlayerId(2), PlayerId(1))?,
Some(1.0)
);
Ok(())
}
#[test]
fn player_all_edges() -> sqlite::Result<()> {
let connection = mock_datasets()?;
new_dataset(&connection, "test", metadata())?;
add_players(&connection, "test", &vec![players(3)], Timestamp(0))?;
insert_advantage(&connection, "test", PlayerId(2), PlayerId(1), 1.0)?;
insert_advantage(&connection, "test", PlayerId(1), PlayerId(3), 5.0)?;
assert_eq!(
get_edges(&connection, "test", PlayerId(1))?,
[(PlayerId(2), -1.0, 0), (PlayerId(3), 5.0, 0)]
);
assert_eq!(
get_edges(&connection, "test", PlayerId(2))?,
[(PlayerId(1), 1.0, 0)]
);
assert_eq!(
get_edges(&connection, "test", PlayerId(3))?,
[(PlayerId(1), -5.0, 0)]
);
Ok(())
}
#[test]
fn hypoth_adv_trivial() -> sqlite::Result<()> {
let num_players = 3;
let connection = mock_datasets()?;
new_dataset(&connection, "test", metadata())?;
add_players(
&connection,
"test",
&vec![players(num_players)],
Timestamp(0),
)?;
let metadata = metadata();
for i in 1..=num_players {
for j in 1..=num_players {
assert_eq!(
hypothetical_advantage(
&connection,
"test",
PlayerId(i),
PlayerId(j),
metadata.set_limit,
metadata.decay_rate,
metadata.adj_decay_rate
)?,
0.0
);
}
}
Ok(())
}
#[test]
fn hypoth_adv1() -> sqlite::Result<()> {
let connection = mock_datasets()?;
new_dataset(&connection, "test", metadata())?;
add_players(&connection, "test", &vec![players(2)], Timestamp(0))?;
insert_advantage(&connection, "test", PlayerId(1), PlayerId(2), 1.0)?;
let metadata = metadata();
assert_eq!(
hypothetical_advantage(
&connection,
"test",
PlayerId(1),
PlayerId(2),
metadata.set_limit,
metadata.decay_rate,
metadata.adj_decay_rate
)?,
1.0
);
Ok(())
}
} }

View file

@ -81,6 +81,12 @@ created if it does not already exist."
#[arg(short, long, global = true, help = "The dataset to access")] #[arg(short, long, global = true, help = "The dataset to access")]
dataset: Option<String>, dataset: Option<String>,
}, },
Ranking {
#[command(subcommand)]
subcommand: RankingSC,
#[arg(short, long, global = true, help = "The dataset to access")]
dataset: Option<String>,
},
} }
#[derive(Subcommand)] #[derive(Subcommand)]
@ -106,13 +112,20 @@ enum PlayerSC {
Matchup { player1: String, player2: String }, Matchup { player1: String, player2: String },
} }
#[derive(Subcommand)]
enum RankingSC {
#[command(about = "Create a new ranking")]
Create,
}
fn main() { fn main() {
let cli = Cli::parse(); let cli = Cli::parse();
let config_dir = cli let config_dir = cli.config_dir.unwrap_or_else(|| {
.config_dir let mut dir = dirs::config_dir().expect("Could not determine config directory");
.map(|mut s| { s.push("startrnr"); s }) dir.push("startrnr");
.unwrap_or_else(|| dirs::config_dir().expect("Could not determine config directory")); dir
});
let mut data_dir = dirs::data_dir().expect("Could not determine user data directory"); let mut data_dir = dirs::data_dir().expect("Could not determine user data directory");
data_dir.push("startrnr"); data_dir.push("startrnr");
@ -224,22 +237,10 @@ fn dataset_list(connection: &Connection) {
); );
} }
} }
println!();
if metadata.set_limit != 0 && metadata.decay_rate != metadata.adj_decay_rate {
println!("\x1b[1mSet Limit:\x1b[0m {}", metadata.set_limit);
println!( println!(
"\x1b[1mNetwork Decay Rate:\x1b[0m {} (adjusted {})", "\n\x1b[1mNetwork Decay Constant:\x1b[0m {}",
metadata.decay_rate, metadata.adj_decay_rate metadata.decay_const
); );
} else {
println!("\x1b[1mNetwork Decay Rate:\x1b[0m {}", metadata.decay_rate);
}
println!(
"\x1b[1mRating Period:\x1b[0m {} days",
metadata.period / SECS_IN_DAY as f64
);
println!("\x1b[1mTau Constant:\x1b[0m {}\n", metadata.tau);
} }
} }
@ -399,33 +400,11 @@ End date (year, m/y, or m/d/y): "
} }
}; };
// Set Limit
let mut set_limit = 0;
print!(
"
\x1b[1mSet Limit\x1b[0m
The set limit is an optional feature of the rating system that defines how many
sets must be played between two players for their rating data to be considered
trustworthy.
This value should be set low, i.e. not more than 5 or 6.
Set limit (default 0): "
);
let set_limit_input = read_string();
if !set_limit_input.is_empty() {
set_limit = set_limit_input
.parse::<u64>()
.unwrap_or_else(|_| error("Input is not an integer", 1));
}
// Advanced Options // Advanced Options
// Defaults // Defaults
let mut decay_rate = 0.8; let mut decay_const = 0.9;
let mut adj_decay_rate = 0.6; let mut var_const = (10.0 - 0.04) / SECS_IN_YEAR as f64 / 3.0;
let mut period_days = 40.0;
let mut tau = 0.4;
print!("\nConfigure advanced options? (y/n) "); print!("\nConfigure advanced options? (y/n) ");
if let Some('y') = read_string().chars().next() { if let Some('y') = read_string().chars().next() {
@ -433,87 +412,42 @@ Set limit (default 0): "
print!( print!(
" "
\x1b[1mNetwork Decay Rate\x1b[0m \x1b[1mNetwork Decay Constant\x1b[0m
The network decay rate is a number between 0 and 1 that controls how the The network decay constant is a number between 0 and 1 that controls how
advantage network reacts to player wins and losses. If the decay rate is 1, player wins and losses propagate throughout the network. If the decay
then it is assumed that a player's skill against one opponent always carries constant is 1, then it is assumed that a player's skill against one
over to all other opponents. If the decay rate is 0, then all player match-ups opponent always carries over to all other opponents. If the decay
are assumed to be independent of each other. constant is 0, then all player match-ups are assumed to be independent of
each other.
Network decay rate (default 0.8): " Network decay constant (default 0.9): "
); );
let decay_rate_input = read_string(); let decay_const_input = read_string();
if !decay_rate_input.is_empty() { if !decay_const_input.is_empty() {
decay_rate = decay_rate_input decay_const = decay_const_input
.parse::<f64>() .parse::<f64>()
.unwrap_or_else(|_| error("Input is not a number", 1)); .unwrap_or_else(|_| error("Input is not a number", 1));
if decay_rate < 0.0 || decay_rate > 1.0 { if decay_const < 0.0 || decay_const > 1.0 {
error("Input is not between 0 and 1", 1); error("Input is not between 0 and 1", 1);
} }
} }
// Adjusted Decay Rate // Variance Constant
if set_limit != 0 {
print!(
"
\x1b[1mAdjusted Network Decay Rate\x1b[0m
If the number of sets played between two players is less than the set limit,
then this value is used instead of the regular network decay rate.
This value should be \x1b[1mlower\x1b[0m than the network decay rate.
Adjusted network decay rate (default 0.6): "
);
let adj_decay_rate_input = read_string();
if !adj_decay_rate_input.is_empty() {
adj_decay_rate = adj_decay_rate_input
.parse::<f64>()
.unwrap_or_else(|_| error("Input is not a number", 1));
if decay_rate < 0.0 || decay_rate > 1.0 {
error("Input is not between 0 and 1", 1);
}
}
}
// Rating Period
print!( print!(
" "
\x1b[1mRating Period\x1b[0m \x1b[1mVariance Rate\x1b[0m
The rating period is an interval of time that dictates how player ratings change This constant determines how quickly a player's variance (the uncertainty
during inactivity. Ideally the rating period should be somewhat long, long of their rating) increases over time. See the end of \x1b[4m\x1b]8;;http:\
enough to expect almost every player in the dataset to have played at least a //www.glicko.net/glicko/glicko.pdf\x1b\\this paper\x1b]8;;\x1b\\\x1b[0m for details
few sets. on how to compute a good value, or you can leave it blank and a reasonable
default will be chosen.
Rating period (in days, default 40): " Variance rate: "
); );
let period_input = read_string(); let var_const_input = read_string();
if !period_input.is_empty() { if !var_const_input.is_empty() {
period_days = period_input var_const = var_const_input
.parse::<f64>()
.unwrap_or_else(|_| error("Input is not a number", 1));
}
// Tau coefficient
print!(
"
\x1b[1mTau Constant\x1b[0m
The tau constant is an internal system constant that roughly represents how
much random chance and luck play a role in game outcomes. In games where match
results are highly predictable, and a player's skill is the sole factor for
whether they will win, the tau constant should be high (0.9 - 1.2). In games
where luck matters, and more improbable victories can occur, the tau constant
should be low (0.2 - 0.4).
The tau constant is set low by default, since skill-based competitive video
games tend to be on the more luck-heavy side.
Tau constant (default 0.4): "
);
let tau_input = read_string();
if !tau_input.is_empty() {
tau = tau_input
.parse::<f64>() .parse::<f64>()
.unwrap_or_else(|_| error("Input is not a number", 1)); .unwrap_or_else(|_| error("Input is not a number", 1));
} }
@ -533,11 +467,8 @@ Tau constant (default 0.4): "
game_slug, game_slug,
country, country,
state, state,
set_limit, decay_const,
decay_rate, var_const,
adj_decay_rate,
period: SECS_IN_DAY as f64 * period_days,
tau,
}, },
) )
.expect("Error communicating with SQLite"); .expect("Error communicating with SQLite");
@ -591,9 +522,6 @@ fn player_info(connection: &Connection, dataset: Option<String>, player: String)
} = get_player_from_input(connection, player) } = get_player_from_input(connection, player)
.unwrap_or_else(|_| error("Could not find player", 1)); .unwrap_or_else(|_| error("Could not find player", 1));
let (deviation, volatility, _) = get_player_rating_data(connection, &dataset, id)
.unwrap_or_else(|_| error("Could not find player", 1));
let (won, lost) = get_player_set_counts(connection, &dataset, id) let (won, lost) = get_player_set_counts(connection, &dataset, id)
.unwrap_or_else(|_| error("Could not find player", 1)); .unwrap_or_else(|_| error("Could not find player", 1));
@ -613,9 +541,6 @@ fn player_info(connection: &Connection, dataset: Option<String>, player: String)
lost, lost,
(won as f64 / (won + lost) as f64) * 100.0 (won as f64 / (won + lost) as f64) * 100.0
); );
println!("\n\x1b[1mDeviation:\x1b[0m {}", deviation);
println!("\x1b[1mVolatility:\x1b[0m {}", volatility);
} }
fn player_matchup( fn player_matchup(
@ -634,9 +559,6 @@ fn player_matchup(
} = get_player_from_input(connection, player1) } = get_player_from_input(connection, player1)
.unwrap_or_else(|_| error("Could not find player", 1)); .unwrap_or_else(|_| error("Could not find player", 1));
let (deviation1, _, _) = get_player_rating_data(connection, &dataset, player1)
.unwrap_or_else(|_| error("Could not find player", 1));
let PlayerData { let PlayerData {
id: player2, id: player2,
name: name2, name: name2,
@ -645,42 +567,34 @@ fn player_matchup(
} = get_player_from_input(connection, player2) } = get_player_from_input(connection, player2)
.unwrap_or_else(|_| error("Could not find player", 1)); .unwrap_or_else(|_| error("Could not find player", 1));
let (deviation2, _, _) = get_player_rating_data(connection, &dataset, player2) let (hypothetical, advantage, variance) =
.unwrap_or_else(|_| error("Could not find player", 1)); get_network_data(connection, &dataset, player1, player2)
let (hypothetical, advantage) = get_advantage(connection, &dataset, player1, player2)
.expect("Error communicating with SQLite") .expect("Error communicating with SQLite")
.map(|x| (false, x)) .map(|(adv, var)| (false, adv, var))
.unwrap_or_else(|| { .unwrap_or_else(|| {
let metadata = get_metadata(connection, &dataset) let metadata = get_metadata(connection, &dataset)
.expect("Error communicating with SQLite") .expect("Error communicating with SQLite")
.unwrap_or_else(|| error("Dataset not found", 1)); .unwrap_or_else(|| error("Dataset not found", 1));
( let (adv, var) = hypothetical_advantage(
true,
hypothetical_advantage(
connection, connection,
&dataset, &dataset,
player1, player1,
player2, player2,
metadata.set_limit, metadata.decay_const,
metadata.decay_rate,
metadata.adj_decay_rate,
)
.expect("Error communicating with SQLite"),
) )
.expect("Error communicating with SQLite");
(true, adv, var)
}); });
let probability = 1.0 let probability = 1.0 / (1.0 + f64::exp(-advantage));
/ (1.0
+ f64::exp(
g_func((deviation1 * deviation1 + deviation2 * deviation2).sqrt()) * advantage,
));
let (color, other_color) = ansi_num_color(advantage, 0.2, 2.0); let (color, other_color) = ansi_num_color(advantage, 0.2, 2.0);
let len1 = prefix1.as_deref().map(|s| s.len() + 1).unwrap_or(0) + name1.len(); let len1 = prefix1.as_deref().map(|s| s.len() + 1).unwrap_or(0) + name1.len();
let len2 = prefix2.as_deref().map(|s| s.len() + 1).unwrap_or(0) + name2.len(); let len2 = prefix2.as_deref().map(|s| s.len() + 1).unwrap_or(0) + name2.len();
// Prefix + name for each player
if let Some(pre) = prefix1 { if let Some(pre) = prefix1 {
print!("\x1b[2m{}\x1b[22m ", pre); print!("\x1b[2m{}\x1b[22m ", pre);
} }
@ -698,27 +612,31 @@ fn player_matchup(
discrim2, name2 discrim2, name2
); );
// Probability breakdown
println!( println!(
"\x1b[1m\x1b[{4}m{0:>2$}\x1b[0m - \x1b[1m\x1b[{5}m{1:<3$}\x1b[0m", "\x1b[1m\x1b[{4}m{0:>2$}\x1b[0m - \x1b[1m\x1b[{5}m{1:<3$}\x1b[0m",
format!("{:.1}%", probability * 100.0),
format!("{:.1}%", (1.0 - probability) * 100.0), format!("{:.1}%", (1.0 - probability) * 100.0),
format!("{:.1}%", probability * 100.0),
len1, len1,
len2, len2,
other_color, other_color,
color color
); );
if hypothetical { // Advantage + variance
println!( println!(
"\n\x1b[1mHypothetical Advantage: \x1b[{1}m{0:+.4}\x1b[0m", "\n\x1b[1m{0}Advantage: \x1b[{1}m{2:+.4}\x1b[39m\n{0}Variance: {3:.4}\x1b[0m",
advantage, color if hypothetical { "Hypothetical " } else { "" },
); color,
} else { advantage,
println!( variance
"\n\x1b[1mAdvantage: \x1b[{1}m{0:+.4}\x1b[0m",
advantage, color
); );
if !hypothetical {
// Set count
let (a, b) = get_matchup_set_counts(connection, &dataset, player1, player2) let (a, b) = get_matchup_set_counts(connection, &dataset, player1, player2)
.expect("Error communicating with SQLite"); .expect("Error communicating with SQLite");
@ -777,5 +695,70 @@ fn sync(connection: &Connection, auth: String, datasets: Vec<String>, all: bool)
} }
fn ranking_create(connection: &Connection, dataset: Option<String>) { fn ranking_create(connection: &Connection, dataset: Option<String>) {
use std::collections::HashMap;
let dataset = dataset.unwrap_or_else(|| String::from("default")); let dataset = dataset.unwrap_or_else(|| String::from("default"));
let metadata = get_metadata(connection, &dataset)
.expect("Error communicating with SQLite")
.unwrap_or_else(|| error("Dataset not found", 1));
let exp = read_string().parse::<f64>().unwrap();
let players = get_all_players(connection, &dataset).expect("Error communicating with SQLite");
let num_players = players.len();
let mut table = players
.into_iter()
.map(|id| (id, 1.0 / num_players as f64))
.collect::<HashMap<_, _>>();
table.shrink_to_fit();
let mut diff: f64 = 1.0;
let mut iter = 0;
while diff > 1e-8 {
let mut new_table = HashMap::with_capacity(table.capacity());
for (&id, &last) in table.iter() {
let mut points = get_edges(connection, &dataset, id)
.expect("Error communicating with SQLite")
.into_iter()
.map(|(other, adv, _sets)| (other, exp.powf(adv)))
.collect::<Vec<_>>();
points.push((id, 1.0));
let sum_points = points.iter().map(|(_, val)| val).sum::<f64>();
points.into_iter().for_each(|(other, pts)| {
let pts_ = last * pts / sum_points;
new_table
.entry(other)
.and_modify(|v| *v += pts_)
.or_insert(pts_);
})
}
if iter % 10 == 0 {
diff = (table
.iter()
.map(|(id, &last)| (new_table[id] - last) * (new_table[id] - last))
.sum::<f64>()
/ num_players as f64)
.sqrt();
println!("{}", diff);
}
table = new_table;
iter += 1;
}
let mut list = table.into_iter().collect::<Vec<_>>();
list.sort_by(|(_, a), (_, b)| b.partial_cmp(a).unwrap());
println!();
for (id, pts) in list.into_iter().take(20) {
let player = get_player(connection, id).unwrap();
println!("{} - {}", player.name, pts);
}
} }

View file

@ -1,4 +1,3 @@
use std::f64::consts::PI;
use std::thread::sleep; use std::thread::sleep;
use std::time::Duration; use std::time::Duration;
@ -8,86 +7,6 @@ use crate::queries::*;
use itertools::Itertools; use itertools::Itertools;
use sqlite::*; use sqlite::*;
// Glicko-2 system calculation
pub fn g_func(dev: f64) -> f64 {
1.0 / (1.0 + 3.0 * dev * dev / PI / PI).sqrt()
}
fn time_adjust(periods: f64, old_dev_sq: f64, volatility: f64) -> f64 {
(old_dev_sq + periods * volatility * volatility).sqrt()
}
fn illinois_optimize(fun: impl Fn(f64) -> f64, mut a: f64, mut b: f64) -> f64 {
let mut f_a = fun(a);
let mut f_b = fun(b);
while (b - a).abs() > 1e-6 {
let c = a + (a - b) * f_a / (f_b - f_a);
let f_c = fun(c);
if f_c * f_b > 0.0 {
f_a = f_a / 2.0;
} else {
a = b;
f_a = f_b;
}
b = c;
f_b = f_c;
}
a
}
fn glicko_adjust(
advantage: f64,
deviation: f64,
volatility: f64,
other_deviation: f64,
won: bool,
time: u64,
metadata: &DatasetMetadata,
) -> (f64, f64, f64) {
let period = metadata.period;
let tau = metadata.tau;
let g_val = g_func(other_deviation);
let exp_val = 1.0 / (1.0 + f64::exp(-g_val * advantage));
let variance = 1.0 / (g_val * g_val * exp_val * (1.0 - exp_val));
let score = if won { 1.0 } else { 0.0 };
let delta = variance * g_val * (score - exp_val);
let delta_sq = delta * delta;
let dev_sq = deviation * deviation;
let a = (volatility * volatility).ln();
let vol_fn = |x| {
let ex = f64::exp(x);
let subf = dev_sq + variance + ex;
((ex * (delta_sq - dev_sq - variance - ex)) / 2.0 / subf / subf) - (x - a) / tau / tau
};
let initial_b = if delta_sq > dev_sq + variance {
(delta_sq - dev_sq - variance).ln()
} else {
(1..)
.map(|k| vol_fn(a - k as f64 * tau))
.inspect(|x| {
if x.is_nan() {
panic!();
}
})
.find(|x| x >= &0.0)
.unwrap()
};
let vol_new = f64::exp(illinois_optimize(vol_fn, a, initial_b) / 2.0);
let dev_time = time_adjust(time as f64 / period, dev_sq, vol_new);
let dev_new = 1.0 / (1.0 / dev_time / dev_time + 1.0 / variance).sqrt();
let adjust = dev_new * dev_new * g_val * (score - exp_val);
(adjust, dev_new, vol_new)
}
// Extract set data // Extract set data
fn get_event_sets(event: EventId, auth: &str) -> Option<Vec<SetData>> { fn get_event_sets(event: EventId, auth: &str) -> Option<Vec<SetData>> {
@ -200,104 +119,67 @@ fn update_from_set(
event_time: Timestamp, event_time: Timestamp,
results: SetData, results: SetData,
) -> sqlite::Result<()> { ) -> sqlite::Result<()> {
let players_data = results.teams; let teams = results.teams;
// Fall back to event time if set time is not recorded
let time = results.time.unwrap_or(event_time);
add_players(connection, dataset, &players_data, time)?;
// Non-singles matches are currently not supported // Non-singles matches are currently not supported
if players_data.len() != 2 || players_data[0].len() != 1 || players_data[1].len() != 1 { if teams.len() != 2 || teams[0].len() != 1 || teams[1].len() != 1 {
return Ok(()); return Ok(());
} }
let mut it = players_data.into_iter(); let players = teams.into_iter().flatten().collect::<Vec<_>>();
let player1 = it.next().unwrap()[0].id; add_players(connection, dataset, &players)?;
let player2 = it.next().unwrap()[0].id;
drop(it);
let (deviation1, volatility1, last_played1) = let player1 = players[0].id;
get_player_rating_data(connection, dataset, player1)?; let player2 = players[1].id;
let time1 = time.0.checked_sub(last_played1.0).unwrap_or(0);
let (deviation2, volatility2, last_played2) = // Time-adjust all variances associated with each player
get_player_rating_data(connection, dataset, player1)?; let time = results.time.unwrap_or(event_time);
let time2 = time.0.checked_sub(last_played2.0).unwrap_or(0); adjust_for_time(connection, dataset, player1, metadata.var_const, time)?;
adjust_for_time(connection, dataset, player2, metadata.var_const, time)?;
let advantage = match get_advantage(connection, dataset, player1, player2) { let (advantage, variance) = match get_network_data(connection, dataset, player1, player2) {
Err(e) => Err(e)?, Err(e) => Err(e)?,
Ok(None) => initialize_edge( Ok(None) => initialize_edge(
connection, connection,
dataset, dataset,
player1, player1,
player2, player2,
metadata.set_limit, metadata.decay_const,
metadata.decay_rate, time,
metadata.adj_decay_rate,
)?, )?,
Ok(Some(adv)) => adv, Ok(Some(adv)) => adv,
}; };
let (adjust1, dev_new1, vol_new1) = glicko_adjust(
-advantage, // println!("{}, {} - {}, {}", player1.0, player2.0, advantage, variance);
deviation1,
volatility1, glicko_adjust(
deviation2, connection,
results.winner == 0, dataset,
time1, &results.id,
metadata, player1,
); player2,
let (adjust2, dev_new2, vol_new2) = glicko_adjust(
advantage, advantage,
deviation2, variance,
volatility2, results.winner,
deviation1, metadata.decay_const,
results.winner == 1, )?;
time2,
metadata,
);
// Set minimum deviation level set_player_set_counts(
let dev_new1 = f64::max(dev_new1, 0.2);
let dev_new2 = f64::max(dev_new2, 0.2);
set_player_data(
connection, connection,
dataset, dataset,
player1, player1,
time,
dev_new1,
vol_new1,
results.winner == 0, results.winner == 0,
&results.id, &results.id,
)?; )?;
set_player_data( set_player_set_counts(
connection, connection,
dataset, dataset,
player2, player2,
time,
dev_new2,
vol_new2,
results.winner == 1, results.winner == 1,
&results.id, &results.id,
)?; )?;
let (sets1, sets2) = get_matchup_set_counts(connection, dataset, player1, player2)?; Ok(())
let decay_rate = if sets1 + sets2 >= metadata.set_limit {
metadata.decay_rate
} else {
metadata.adj_decay_rate
};
adjust_advantages(
connection,
dataset,
results.id,
player1,
player2,
results.winner,
adjust1,
adjust2,
decay_rate,
)
} }
pub fn sync_dataset( pub fn sync_dataset(
@ -340,45 +222,3 @@ pub fn sync_dataset(
} }
connection.execute("COMMIT;") connection.execute("COMMIT;")
} }
#[cfg(test)]
mod tests {
use super::*;
use crate::database::tests::*;
#[test]
fn glicko_single() -> sqlite::Result<()> {
let connection = mock_datasets()?;
new_dataset(&connection, "test", metadata())?;
let players = players(2).into_iter().map(|x| vec![x]).collect();
add_players(&connection, "test", &players, Timestamp(0))?;
update_from_set(
&connection,
"test",
&metadata(),
Timestamp(0),
SetData {
id: SetId(StringOrInt::Int(0)),
time: None,
teams: players,
winner: 0,
},
)?;
println!(
"{:?}",
get_advantage(&connection, "test", PlayerId(1), PlayerId(2))?.unwrap()
);
println!(
"{:?}",
get_player_rating_data(&connection, "test", PlayerId(1))
);
println!(
"{:?}",
get_player_rating_data(&connection, "test", PlayerId(2))
);
Ok(())
}
}

View file

@ -8,6 +8,7 @@ use crate::queries::{PlayerData, PlayerId, Timestamp};
pub const SECS_IN_HR: u64 = 3600; pub const SECS_IN_HR: u64 = 3600;
pub const SECS_IN_DAY: u64 = SECS_IN_HR * 24; pub const SECS_IN_DAY: u64 = SECS_IN_HR * 24;
pub const SECS_IN_WEEK: u64 = SECS_IN_DAY * 7; pub const SECS_IN_WEEK: u64 = SECS_IN_DAY * 7;
pub const SECS_IN_YEAR: u64 = SECS_IN_DAY * 365 + SECS_IN_HR * 6;
pub fn error(msg: &str, code: i32) -> ! { pub fn error(msg: &str, code: i32) -> ! {
eprintln!("\nERROR: {}", msg); eprintln!("\nERROR: {}", msg);