backoff-web
Version:
Fibonacci and exponential backoffs.
69 lines (55 loc) • 1.98 kB
JavaScript
function isDef (value) {
return value !== undefined && value !== null;
}
// class defining the skeleton for the backoff strategies. Accepts an
// object holding the options for the backoff strategy:
//
// * `randomisationFactor`: The randomisation factor which must be between 0
// and 1 where 1 equates to a randomization factor of 100% and 0 to no
// randomization.
// * `initialDelay`: The backoff initial delay in milliseconds.
// * `maxDelay`: The backoff maximal delay in milliseconds.
class BackoffStrategy {
constructor (options) {
options = options || {};
if (isDef(options.initialDelay) && options.initialDelay < 1) {
throw new Error('The initial timeout must be greater than 0.');
}
if (isDef(options.maxDelay) && options.maxDelay < 1) {
throw new Error('The maximal timeout must be greater than 0.');
}
this.initialDelay_ = options.initialDelay || 100;
this.maxDelay_ = options.maxDelay || 10000;
if (this.maxDelay_ <= this.initialDelay_) {
throw new Error('The maximal backoff delay must be ' +
'greater than the initial backoff delay.');
}
if (isDef(options.randomisationFactor) &&
(options.randomisationFactor < 0 || options.randomisationFactor > 1)) {
throw new Error('The randomisation factor must be between 0 and 1.');
}
this.randomisationFactor_ = options.randomisationFactor || 0;
}
getMaxDelay () {
return this.maxDelay_;
}
getInitialDelay () {
return this.initialDelay_;
}
next () {
const backoffDelay = this.next_();
const randomisationMultiple = 1 + Math.random() * this.randomisationFactor_;
const randomizedDelay = Math.round(backoffDelay * randomisationMultiple);
return randomizedDelay;
}
next_ () {
throw new Error('Not implemented');
}
reset () {
this.reset_();
}
reset_ () {
throw new Error('Not implemented');
}
}
module.exports = BackoffStrategy;