Coder Social home page Coder Social logo

Comments (3)

brenc avatar brenc commented on August 21, 2024

Looks like using TokenBucket itself gets the results I expect:

const { TokenBucket } = require('limiter')

const bucket = new TokenBucket(10, 10, 'minute', null)
const remove = () => {
  let date = new Date()
  let remaining

  if (bucket.tryRemoveTokens(1)) {
    remaining = bucket.content
    console.log(`${date} - token removed, remaining: ${remaining}`)
  } else {
    console.log(`${date} - NO tokens remaining`)
  }
}

bucket.content = 10

remove()

setInterval(() => {
  remove()
}, 3500)

Output:

Sat May 04 2019 18:00:35 GMT-0400 (EDT) - token removed, remaining: 9
Sat May 04 2019 18:00:39 GMT-0400 (EDT) - token removed, remaining: 8.5845
Sat May 04 2019 18:00:42 GMT-0400 (EDT) - token removed, remaining: 8.168666666666667
Sat May 04 2019 18:00:46 GMT-0400 (EDT) - token removed, remaining: 7.7524999999999995
Sat May 04 2019 18:00:49 GMT-0400 (EDT) - token removed, remaining: 7.336499999999999
Sat May 04 2019 18:00:53 GMT-0400 (EDT) - token removed, remaining: 6.920499999999999
Sat May 04 2019 18:00:56 GMT-0400 (EDT) - token removed, remaining: 6.504499999999998
Sat May 04 2019 18:01:00 GMT-0400 (EDT) - token removed, remaining: 6.088499999999998
[SNIP]
Sat May 04 2019 18:01:49 GMT-0400 (EDT) - token removed, remaining: 0.26333333333332964
Sat May 04 2019 18:01:52 GMT-0400 (EDT) - NO tokens remaining               
Sat May 04 2019 18:01:56 GMT-0400 (EDT) - token removed, remaining: 0.43133333333332957

Tokens appear to be getting dripped back into the bucket over the course of the interval vs. being dumped into the bucket all at once at the beginning of the next interval (as when using RateLimiter).

from node-rate-limiter.

texpatnyc avatar texpatnyc commented on August 21, 2024

@brenc Were you ever able to resolve this issue? I am having the same issue and finding the package unusable because of it.

from node-rate-limiter.

brenc avatar brenc commented on August 21, 2024

I ended up creating my own TokenBucket class, something like this:

'use strict'

const assert = require('assert').strict
const debug = require('debug')('TokenBucket')

const allowedIntervals = [
  'second',
  'minute',
  'hour',
  'day'
]
const intervalError = `parameter "interval" must be the number of ` +
  `milliseconds or one of the following: ${allowedIntervals.join(', ')}`

class TokenBucket {
  constructor ({
    interval,
    size
  }) {
    assert(['string', 'number'].includes(typeof interval), intervalError)

    if (typeof interval === 'number') {
      assert(interval > 0, 'parameter "interval" must be > 0')
    }

    assert(typeof size === 'number', 'parameter "size" must be a number')

    assert(size > 0, 'parameter "size" must be > 0')

    this._lastDrip = +new Date()
    this._size = size
    // Set the initial number of tokens in the bucket to the size of the
    // bucket.
    this._tokens = size

    if (typeof interval === 'string') {
      switch (interval) {
        case 'second':
          this._interval = 1000
          break
        case 'minute':
          this._interval = 1000 * 60
          break
        case 'hour':
          this._interval = 1000 * 60 * 60
          break
        case 'day':
          this._interval = 1000 * 60 * 60 * 24
          break
        default:
          throw new Error(intervalError)
      }
    } else {
      this._interval = interval
    }

    debug(`size: ${this._size}, tokens: ${this._tokens}, interval: ` +
      `${this._interval}`)
  }

  _drip () {
    const now = +new Date()
    const delta = Math.max(now - this._lastDrip, 0)
    const dripNum = delta * (this._size / this._interval)

    this._lastDrip = now

    debug(`ms since last drip: ${delta}, number of tokens going back into ` +
      `the bucket: ${dripNum}, current number of tokens in the bucket: ` +
      `${this._tokens}`)

    // This prevents the bucket from "overflowing."
    this._tokens = Math.min(this._tokens + dripNum, this._size)

    debug(`number of tokens after the drip: ${this._tokens}`)
  }

  remaining () {
    this._drip()
    return this._tokens
  }

  remove (num) {
    assert(typeof num === 'number', 'parameter "num" must be a number')
    assert(num > 0, 'parameter "num" must be > 0')

    if (num > this._size) {
      debug(`removing ${num} tokens from the bucket`)
      return false
    }

    this._drip()

    // No more tokens left in the bucket.
    if (num > this._tokens) {
      debug(`bucket is empty`)
      return false
    }

    this._tokens -= num

    return true
  }

  size () {
    return this._size
  }
}

module.exports = TokenBucket

Here's how it's used:

// Limit to 60/minute
const bucket = new TokenBucket({
  interval: 'minute',
  size: 60
})

if (bucket.remove(1)) { // returns false if no more tokens left
  doSomethingRateLimited()
} else {
  sendRateLimitedMessage()
}

console.log(`there are ${bucket.remaining()} tokens remaining`)

This has worked well for several years. There are probably better solutions esp. if you need to scale beyond one process.

from node-rate-limiter.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.