@daiso-tech/core
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The library offers flexible, framework-agnostic solutions for modern web applications, built on adaptable components that integrate seamlessly with popular frameworks like Next Js.
59 lines • 1.98 kB
JavaScript
/**
* @module BackoffPolicy
*/
import {} from "../../backoff-policies/_shared.js";
import { TO_MILLISECONDS, } from "../../time-span/contracts/_module.js";
import { TimeSpan } from "../../time-span/implementations/_module.js";
import { callInvokable, isInvokable, withJitter } from "../../utilities/_module.js";
/**
* @internal
*/
export function resolvePolynomialBackoffSettings(settings) {
const { maxDelay = TimeSpan.fromMilliseconds(6000), minDelay = TimeSpan.fromMilliseconds(1_000), degree = 2, jitter = 0.5, _mathRandom = Math.random, } = settings;
return {
maxDelay,
minDelay,
degree,
jitter,
_mathRandom,
};
}
/**
* Polynomial backoff policy with jitter
*
* IMPORT_PATH: `"@daiso-tech/core/backoff-policies"`
*/
export function polynomialBackoff(settings = {}) {
return (attempt, error) => {
if (isInvokable(settings)) {
const dynamicSettings = callInvokable(settings, error);
if (dynamicSettings === undefined) {
settings = {};
}
else {
settings = dynamicSettings;
}
}
const { maxDelay, minDelay, degree, jitter, _mathRandom } = resolvePolynomialBackoffSettings(settings);
const polynomial = Math.min(maxDelay[TO_MILLISECONDS](), minDelay[TO_MILLISECONDS]() * Math.pow(attempt, degree));
return TimeSpan.fromMilliseconds(withJitter({
jitter,
value: polynomial,
randomValue: _mathRandom(),
}));
};
}
/**
* @internal
*/
export function serializePolynomialBackoffSettings(settings) {
const { maxDelay, minDelay, degree, jitter, _mathRandom } = resolvePolynomialBackoffSettings(settings);
return {
maxDelay: maxDelay[TO_MILLISECONDS](),
minDelay: minDelay[TO_MILLISECONDS](),
degree,
jitter,
_mathRandom: _mathRandom(),
};
}
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