Files
blitzkit/scripts/averages.ts
T
2024-07-01 11:44:08 -05:00

199 lines
5.7 KiB
TypeScript

import { chunk, times } from 'lodash';
import { argv } from 'process';
import { Region, REGIONS } from '../src/constants/regions';
import { getAccountInfo } from '../src/core/blitz/getAccountInfo';
import getTankStats from '../src/core/blitz/getTankStats';
import { idToRegion } from '../src/core/blitz/idToRegion';
import {
AverageDefinitions,
AverageDefinitionsAllStats,
AverageDefinitionsEntry,
AverageDefinitionsEntrySubPartial,
} from '../src/core/blitzkit/averageDefinitions';
import { averageDefinitionsAllStatsKeys } from '../src/core/blitzkit/averageDefinitions/constants';
import { commitAssets } from '../src/core/blitzkit/commitAssets';
import { fetchPreDiscoveredIds } from '../src/core/blitzkit/fetchPreDiscoveredIds';
import { encodeToBase64 } from '../src/core/protobuf/encodeToBase64';
interface DataPoint {
x: number;
y: number;
w: number;
}
const MAX_ACTIVITY_TIME = 1000 * 60 * 60 * 24 * 120;
const MIN_BATTLES = 5000;
const RUN_TIME = 1000 * 60 * 60 * 5.9;
const THREADS = 10;
const PLAYER_IDS_PER_CALL = 100;
const startTime = Date.now();
const production = argv.includes('--production');
const preDiscoveredIds = await fetchPreDiscoveredIds(!production);
const playerIds: Record<Region, number[][]> = {
asia: chunk(
preDiscoveredIds.filter((id) => idToRegion(id) === 'asia'),
PLAYER_IDS_PER_CALL,
),
com: chunk(
preDiscoveredIds.filter((id) => idToRegion(id) === 'com'),
PLAYER_IDS_PER_CALL,
),
eu: chunk(
preDiscoveredIds.filter((id) => idToRegion(id) === 'eu'),
PLAYER_IDS_PER_CALL,
),
};
let regionIndex = 0;
let scanned_players = 0;
let sampled_players = 0;
const availableRegions = [...REGIONS];
const tankIds: number[] = [];
const tanksSorted: Record<number, AverageDefinitionsAllStats[]> = {};
let postWorkRequested = false;
times(THREADS, async () => {
while (availableRegions.length > 0 && startTime + RUN_TIME > Date.now()) {
const region = availableRegions[regionIndex];
const regionIds = playerIds[region];
const [ids] = regionIds.splice(
Math.floor(Math.random() * regionIds.length),
1,
);
const accountInfo = await getAccountInfo(region, ids, undefined, {
fields: 'last_battle_time,statistics.all.battles',
});
scanned_players += ids.length;
/**
* Pass rates
* none: 1000 / 1000
* activity: 55 / 1000
* battles: 30 / 1000
* both: 23 / 1000
*/
const filteredIds = ids.filter((_, index) => {
const info = accountInfo[index];
return (
info !== null &&
Date.now() - info.last_battle_time * 1000 <= MAX_ACTIVITY_TIME &&
info.statistics.all.battles > MIN_BATTLES
);
});
sampled_players += filteredIds.length;
const players = await Promise.all(
filteredIds.map((id) => getTankStats(region, id)),
);
players.forEach((tanks) => {
tanks?.forEach((tank) => {
if (tank.all.battles === 0) return;
if (!tankIds.includes(tank.tank_id)) {
tankIds.push(tank.tank_id);
tanksSorted[tank.tank_id] = [];
}
tanksSorted[tank.tank_id].push({
...tank.all,
battle_life_time: tank.battle_life_time,
});
});
});
if (regionIds.length === 0 && availableRegions.includes(region)) {
availableRegions.splice(availableRegions.indexOf(region), 1);
}
regionIndex = (regionIndex + 1) % availableRegions.length;
}
if (!postWorkRequested) {
postWorkRequested = true;
postWork();
}
});
async function postWork() {
console.log(
`Generating statistics based off ${sampled_players.toLocaleString()} players (${scanned_players.toLocaleString()} checked in total) and ${tankIds.length} tanks...`,
);
const averages: Record<number, AverageDefinitionsEntry> = {};
tankIds.forEach((id) => {
const tanks = tanksSorted[id];
const samples = tanks.length;
const entry: AverageDefinitionsEntrySubPartial = {
samples,
mu: {},
sigma: {},
r: {},
};
const dataWY = tanks.map((tank) => ({
w: tank.battles,
y: tank.wins / tank.battles,
}));
averageDefinitionsAllStatsKeys.forEach((key) => {
const data: DataPoint[] = dataWY.map(({ w, y }, index) => ({
w,
x: tanks[index][key] / w,
y,
}));
if (data.length === 0) return;
function sum(slicer: (data: DataPoint) => number) {
return data.reduce(
(accumulator, data) => accumulator + slicer(data),
0,
);
}
const sum_w = sum(({ w }) => w);
const sum_wx = sum(({ w, x }) => w * x);
const sum_wy = sum(({ w, y }) => w * y);
const x_bar = sum_wx / sum_w;
const y_bar = sum_wy / sum_w;
// undo normalization for mu to get a simple average
const mu = sum(({ w, x }) => w * x) / samples;
const sigma_numerator = sum(({ w, x }) => w * (x - x_bar) ** 2);
const sigma = Math.sqrt(sigma_numerator / sum_w);
const r_numerator = sum(({ w, x, y }) => w * (x - x_bar) * (y - y_bar));
const r_denominator_x = sum(({ w, x }) => w * (x - x_bar) ** 2);
const r_denominator_y = sum(({ w, y }) => w * (y - y_bar) ** 2);
const r = r_numerator / Math.sqrt(r_denominator_x * r_denominator_y);
entry.mu[key] = mu;
entry.sigma[key] = sigma;
entry.r[key] = isNaN(r) ? 0 : r;
});
averages[id] = entry as AverageDefinitionsEntry;
});
const averageDefinitions = {
averages,
sampled_players,
scanned_players,
} satisfies AverageDefinitions;
commitAssets(
'averages',
[
{
path: 'definitions/averages.pb',
content: await encodeToBase64(
'blitzkit.AverageDefinitions',
averageDefinitions,
),
encoding: 'base64',
},
],
production,
);
}