moonpipe
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2.8.0 • Public • Published

moonpipe

Throttle streams of data while passing them through promises and timers. Use various valves to discard redundant data points.

TL;DR

npm install moonpipe
// A typical setup for converting user input into http GET requests.
// For PUT requests use throttleMap in place of the cancelMap.
const { MoonPipe } = require('moonpipe')
const mp = new MoonPipe()
  .onBusy(() => console.log('// loading'))
  .cancelLazy(1000) // in other libs known as debounce
  .cancelMap(async (val) => 'initial_' + val) // a GET request goes here
  .queueTap(async (val) => console.log('// output:', val))
  .queueError(async (err) => console.log('// error:', err))
  .onIdle(() => console.log('// done'))

mp.pump('a')
mp.pump('b')
mp.pump('c')
mp.pump('d')

// loading
// output: initial_d
// done

Predefined valves

The easiest way to start with moonpipe is to understand the naming convention behind predefined valves. Most of the predefined valves are descendants of either a TimveValve, or a PromiseValve. You will tell them apart by the suffix in the name. Predefined PromiseValves end with the Tap, Map, and Error suffixes, whereas predefined TimeValves end with the Eager and Lazy suffixes.

queueTap    queueMap    queueEager    queueLazy    queueError
cancelTap   cancelMap   cancelEager   cancelLazy   cancelError
throttleTap throttleMap throttleEager throttleLazy throttleError
skipTap     skipMap     skipEager     skipLazy     skipError
sliceTap    sliceMap    sliceEager    sliceLazy
poolTap     poolMap
splitBy     join
flatten     map         filter        filterError

Prefixes, on the other hand, are common to both types of valves. They define how pumped values are treated internally.

Prefixes:

  • queue - queues every pumped value, and processes one after another
  • cancel - cancels the running promise/timeout and replaces the current value with the new one
  • throttle - replaces the value next in line with the new one, and does not cancel the promise/timeout
  • skip - skips every new value until the promise/timeout finishes
  • slice - packs values into arrays of the defined slice size, and processes one slice after another
  • pool - runs promises concurrently with the predefined pool size

Suffixes:

  • Map - pumps the result of a promise to the next valve
  • Tap - waits for a promise to complete and pumps the input value
  • Error - it's like the Map suffix, but it is used only when the pipe operates in the Error mode. It is used to catch errors.
  • Eager - pumps the input value, and waits until the time passes before taking on the next value
  • Lazy - waits until the time passes and pumps the first value in line

In general, predefined TimeValves take a number of milliseconds as the first argument, and predefined PromiseValves take a promiseFactory as the first argument.

.queueEager(delayMs)
.queueTap(promiseFactory)

Exceptions to the above rule are slice, and pool valves, which take a sliceSize and a poolSize as the first arguments.

.sliceEager(sliceSize, delayMs)
.sliceTap(sliceSize, promiseFactory)
.poolTap(poolSize, promiseFactory)

For more comprehensive info about time/promise valves, as well as info about other types of valves, see respective sections further down in this documentation.

Overriding predefined valves

Every of the predefined valves can be overridden with a set of options. PromiseValves accept options specific to the PromiseValve class. TimeValves accept options specific to the TimeValve class. The options parameter is always passed in as the last argument. For example throttleMap(promiseFactory, options). I'm going to show you a simple example here. For the full list of options see the Presets explained section.

const { MoonPipe } = require('moonpipe')
const mp = new MoonPipe()
  .throttleMap(async (val) => 'initial_' + val, {
    maxBufferSize: 2, // <------- overridden HERE
  })
  .queueTap(async (val) => {
    console.log('output:', val)
  })

TimeValves

TimeValves slow down incoming data and may also discard redundant data points.

Predefined TimeValves

Predefined TimeValves can be divided into Eager valves and Lazy valves. The only difference between the two is that the Eager valves let the first data point pass through immediately, whereas Lazy valves hold the first data point until the specified time passes.

Another classification that one can make is to split the valves by the name prefix:

  • queue valves process every data point one by one and do NOT discard any of them.
  • skip valves process only the first data point and, until the specified time passes, discard everything that comes next.
  • throttle valves process only the last data point and, until the specified time passes, discard everything that comes before.
  • cancel valves are like throttle valves but they additionally reset the timer whenever a new data point arrives.
  • slice valves pack the incoming data into arrays of the defined size.

What follows is a list of all the predefined TimeValves. Most of them take a number of milliseconds as the first argument, and an optional options object as the second one. Slice valves are an exception to this rule.

.queueEager(delayMs, options)             .queueLazy(delayMs, options)
.cancelEager(delayMs, options)            .cancelLazy(delayMs, options)
.throttleEager(delayMs, options)          .throttleLazy(delayMs, options)
.skipEager(delayMs, options)              .skipLazy(delayMs, options)

.sliceEager(sliceSize, delayMs, options)  .sliceLazy(sliceSize, delayMs, options)

TimeValves are added to the pipe like this:

const mp = new MoonPipe()
  .queueEager(1000)
  .queueTap(async (val) => console.log('// output:', val))

The best way to find out about differences between predefined TimeValves is to run and study the example in playground/predefined-time-valves.js that can be found on github. In short, for this input:

mp.pump('A')
mp.pump('B')
await delayPromise(500)
mp.pump('C')

the pipe will generate the following outputs, where the time label is the number of milliseconds passed since the start of the program to the moment when the pumped value got to the other side of the valve:

// .queueEager(1000)
// out: A, time: 8
// out: B, time: 1008
// out: C, time: 2010

// .queueLazy(1000)
// out: A, time: 1001
// out: B, time: 2003
// out: C, time: 3003

// .skipEager(1000)
// out: A, time: 0

// .skipLazy(1000)
// out: A, time: 1001

// .throttleEager(1000)
// out: A, time: 0
// out: C, time: 1001

// .throttleLazy(1000)
// out: C, time: 1002

// .cancelEager(1000)
// out: A, time: 0
// out: C, time: 1502

// .cancelLazy(1000)
// out: C, time: 1502

// .sliceEager(3, 1000)
// out: [ 'A' ], time: 7
// out: [ 'B', 'C' ], time: 1008

// .sliceLazy(3, 1000)
// out: [ 'A', 'B', 'C' ], time: 1002

Custom TimeValves

Predefined TimeValves internally run an instance of the TimeValve class. It is possible to create your own TimeValve flavors and connect them to a pipe with the .pipe method. The .pipe method accepts a valve as the first argument, and optionally two CHANNEL_TYPE params as the second and third arguments. By default channels are set to the CHANNEL_TYPE.DATA, so you don't have to worry about them. If you, however, want to use your valve as an error handler, set the inputChannel to the CHANNEL_TYPE.ERROR and the outputChannel to either CHANNEL_TYPE.ERROR or CHANNEL_TYPE.DATA.

//             inputChannel        outputChannel
mp.pipe(valve, CHANNEL_TYPE.ERROR, CHANNEL_TYPE.DATA)

Here I will show you an example of a TimeValve which is similar to the throttleLazy valve, but has a bigger maxBufferSize. For the complete info about presets look at the Presets explained section.

const {
  MoonPipe,
  TimeValve,
  TIME_RESOLVE_TYPE,
  BUFFER_TYPE,
  OVERFLOW_ACTION,
} = require('moonpipe')

const preset = {
  name: null,
  maxBufferSize: 3,
  bufferType: BUFFER_TYPE.QUEUE,
  overflowAction: OVERFLOW_ACTION.SHIFT,
  resolveType: TIME_RESOLVE_TYPE.LAZY,
  cancelOnPump: false,
}

const customTimeValve = new TimeValve(preset, 1000)

const mp = new MoonPipe()
  .pipe(customTimeValve) // <-- your custom valve is plugged in HERE
  .queueTap(async (val) => {
    console.log('output:', val)
  })

mp.pump('a')
mp.pump('b')
mp.pump('c')
mp.pump('d')
mp.pump('e')

// output: c
// output: d
// output: e

PromiseValves

PromiseValves pass incoming data through promises and may also discard redundant data points.

Predefined PromiseValves

Predefined PromiseValves can be divided into Tap valves and Map valves. The only difference between the two is that the Tap valves return the data point that has been passed to the Promise, whereas the Map valves return the value returned by the Promise.

Another classification that one can make is to split the valves by the name prefix:

  • queue valves process every data point one by one and do NOT discard any of them.
  • skip valves process only the first data point and, until the Promise settles, discard everything that comes next.
  • throttle valves process the first and the last data points and, until the Promise settles, discard everything that comes between.
  • cancel valves are like queue valves but they additionally cancel the running Promise whenever a new data point arrives.
  • slice valves pack the incoming data into arrays of the defined size.

What follows is a list of all the predefined PromiseValves. Most of them take a promiseFactory as the first argument, and an optional options object as the second one. Slice valves and pool valves are an exception to this rule.

.queueTap(promiseFactory, options)             .queueMap(promiseFactory, options)
.cancelTap(promiseFactory, options)            .cancelMap(promiseFactory, options)
.throttleTap(promiseFactory, options)          .throttleMap(promiseFactory, options)
.skipTap(promiseFactory, options)              .skipMap(promiseFactory, options)

.sliceTap(sliceSize, promiseFactory, options)  .sliceMap(sliceSize, promiseFactory, options)
.poolTap(poolSize, promiseFactory, options)    .poolMap(poolSize, promiseFactory, options)

The promiseFactory is a function that takes an arbitrary value and returns a Promise. Any of the following will do for the factory function:

const factory1 = async (val) => val.toUpperCase()
const factory2 = (val) => Promise.resolve(val.toUpperCase())

PromiseValves are added to the pipe like this:

const mp = new MoonPipe()
  .queueMap(async (val) => val.toUpperCase())
  .queueTap(async (val) => console.log('// output:', val))

The best way to find out about differences between predefined PromiseValves is to run and study the example in playground/predefined-promise-valves.js that can be found on github. In short, for this input:

mp.pump('a')
mp.pump('b')
mp.pump('c')

the pipe will generate the following outputs, where the side label is the value being processed by the Promise, and the out label is the value returned by the valve after the Promise has settled.

// .queueTap(() => val.toUpperCase())
// side: a, time: 6
// out : a, time: 14
// side: b, time: 14
// out : b, time: 20
// side: c, time: 20
// out : c, time: 26

// .queueMap(() => val.toUpperCase())
// side: a, time: 0
// out : A, time: 6
// side: b, time: 6
// out : B, time: 12
// side: c, time: 12
// out : C, time: 19

// .skipTap(() => val.toUpperCase())
// side: a, time: 0
// out : a, time: 7

// .skipMap(() => val.toUpperCase())
// side: a, time: 0
// out : A, time: 6

// .throttleTap(() => val.toUpperCase())
// side: a, time: 1
// out : a, time: 7
// side: c, time: 7
// out : c, time: 13

// .throttleMap(() => val.toUpperCase())
// side: a, time: 0
// out : A, time: 6
// side: c, time: 6
// out : C, time: 12

// .cancelTap(() => val.toUpperCase())
// side: a, time: 0
// side: b, time: 0
// side: c, time: 0
// out : c, time: 6

// .cancelMap(() => val.toUpperCase())
// side: a, time: 1
// side: b, time: 1
// side: c, time: 1
// out : C, time: 7

// .sliceTap(3, () => val.toUpperCase())
// side: [ 'a' ], time: 6
// side: [ 'b', 'c' ], time: 14

// .sliceMap(3, () => val.toUpperCase())
// side: [ 'a' ], time: 1
// side: [ 'b', 'c' ], time: 7

Cache in PromiseValves

The result of a Promise can be cached with the cache: true param provided to the options. Results are cached in a hash map, where by default the pumped value is used as the key. The way the keys are derived can be customized with a custom hash function (see down below).

const { MoonPipe } = require('moonpipe')
const mp = new MoonPipe()
  .queueMap(async (val) => {
    console.log('...side effect')
    return 'mapped_' + val
  }, {
    cache: true, // <------ cache is enabled HERE
    name: 'bigJohn', // <-- a name that you will refer to when wiping out the cache in this particular valve
  })
  .queueTap(async (val) => {
    console.log('output:', val)
  })

mp.pump('a')
mp.pump('b')
mp.pump('a')

// ...side effect
// output: mapped_a
// ...side effect
// output: mapped_b
// output: mapped_a <-- no side effect, because the value comes directly from the cache

In Tap valves, when the cache is enabled, results returned from Promises are cached (not the pumped values). However, Tap valves always emit pumped values regardless of what is in the cache. The corollary is that the cacheUpdateByResult method makes no difference for Tap valves, both the cacheUpdateByResult and cacheClearByResult methods are always fed with the results returned from Promises.

Cache invalidation

The cache can be invalidated with one of the following.

mp.cacheClearAll() // clears the entire cache in all valves.
mp.cacheClearOne('bigJohn') // clears the entire cache in the valve named bigJohn.
mp.cacheClearOne('littleJohn', 'a') // clears only the entry at the key derived from the value 'a' in the valve named littleJohn.
mp.cacheClearOne('oldJohn', 'a', 'b') // clears entries at keys derived from values 'a' and 'b' in the valve named oldJohn.
mp.cacheClearByResult('JohnWayne', (result, key) => boolean) // clears results for which the predicate function returns true.
mp.cacheUpdateByResult('DirtyHarry', (oldResult, key) => newResult) // swaps old results for new results in the DirtyHarry valve.

Note the difference between the value, the key, and the result. The value is what goes into the Promise. The result is what comes out of the Promise. The key is a label for the result in the hash map; it is derived from the value.

In order to avoid race conditions the cache is invalidated in predictable moments. One such a moment is just before a Promise is created. There's nothing going on in that moment; the previous Promise has settled already, and a new one hasn't started yet, which makes it a perfect choice for cache invalidation. This means that the cache is invalidated lazily. When you call one of the cacheClear methods, you will see the effect only after the currently running Promise has settled, and just before a new Promise is created.

In case of promise pools, the cache is invalidated only after all Promises in the pool have settled. This means that after calling one of the cacheClear methods, new Promises will not be created until all the currently running ones settle. Once all of them have settled, the cache is invalidated, and the pool is filled with a new set of Promises.

If you are curious how running a method by a valve name acts on the splitBy valve, look at the Clearing out buffers section.

Cache populate

The cache can be populated by hand. The cachePopulate(valveName, value, result) method takes 3 arguments: the name of the valve, a value for which the result will be cached, and the result. The result will be cached at a key derived from the value passed through the hashFunction the same way it is done in the regular flow.

const mp = new MoonPipe()
  .queueMap(async (val) => 'mapped_' + val, {
    cache: true,
    name: 'bigJohn',
  })
  .queueTap(async (val) => {
    console.log('// output:', val)
  })

mp.cachePopulate('bigJohn', 'a', 'zzz')
mp.pump('a')
mp.pump('b')

// output: zzz
// output: mapped_b

Custom hashFunction

A Custom hash function can be used to generate custom keys at which promise results will be stored in the cache. Hash functions are useful when pumping arrays or objects, in which case the array/object reference would be used by default for the key. Hash functions can also be useful when doing a case-insensitive search.

const { MoonPipe } = require('moonpipe')
const mp = new MoonPipe()
  .queueMap(async (val) => {
    console.log('...side effect')
    return 'mapped_' + val
  }, {
    cache: true,
    hashFunction: (val) => val.toLowerCase(), // results will be stored at val.toLowerCase()
  })
  .queueTap(async (val) => {
    console.log('output:', val)
  })

mp.pump('A')
mp.pump('a')

// ...side effect
// output: mapped_A
// output: mapped_A <-- a result from the cache at the key 'a'

Timeout in PromiseValves

Use the timeoutMs param for PromiseValves that are not supposed to live too long. If the promise is not settled within the provided number of milliseconds, it will be rejected with a TimeoutError and the onCancel callback will be called.

const { MoonPipe } = require('moonpipe')
const { delayPromise } = require('../test/utils.js')

const mp = new MoonPipe()
  .queueTap(async () => {
    await delayPromise(3)
  }, {
    timeoutMs: 1, // <---------- timeout is enabled HERE
  })
  .queueTap(async (val) => {
    console.log('output:', val)
  })
  .queueError(async (err) => {
    console.log('error:', err.message)
  })

mp.pump('a')

// error: TimeoutError

Repeating on error in PromiseValves

A rejected promise can be retried before the error is reported to the pipe. Every error returned from a rejected promise is passed to the repeatPredicate function, that takes an attemptsMade counter as the first argument, an error as the second one, and returns a boolean value which signifies whether the promise should be retried or not. By default promises are retried immediately. If you want to add a delay between retries, use a repeatBackoffFactory function.

If the repeatPredicate throws an error, the promise is automatically rejected and will not be retried anymore.

Since moonpipe v2.0.0 the repeatPredicate is expected to be synchronous and will not be awaited.

const { MoonPipe, ConstantBackoff, LinearBackoff } = require('moonpipe')
const mp = new MoonPipe()
  .queueTap(async (val) => {
    console.log('// side:', val)
    throw 'err_' + val
  }, {
    repeatPredicate: (attemptsMade, err) => {
      return attemptsMade <= 3 && err === 'err_b'
    },
    // repeatBackoffFactory: () => new ConstantBackoff(1000), // OPTIONAL
    // repeatBackoffFactory: () => new LinearBackoff(1000), // OPTIONAL
    // repeatBackoffFactory: () => new ConstantBackoff(0), // OPTIONAL DEFAULT
  })
  .queueError(async (err) => {
    console.log('// error:', err)
  })

mp.pump('a')
mp.pump('b')
mp.pump('c')

// side: a
// error: err_a
// side: b
// side: b
// side: b
// side: b
// error: err_b
// side: c
// error: err_c

onCancel callback in PromiseValves

Sometimes you may want to do some cleanup when a promise is being canceled, or when it times out. To facilitate custom logic on promise cancellation a promiseContext is provided to the promise factory function as the second argument. The onCancel callback can be attached to the promiseContext; it will be called when the promise is being canceled, or when it times out. If the callback throws an error, the error will be silently ignored. What follows is an example of how to clear a timeout from within one of the cancel PromiseValves. (Note that the sole purpose of this example is to show how to use the onCancel callback. Normally, for anything related to timeouts, you are better off using TimeValves like e.g. cancelLazy)

const { MoonPipe } = require('moonpipe')

const mp = new MoonPipe()
  .queueLazy(0)
  .cancelTap(async (val, promiseContext) => {
    return new Promise((resolve) => {
      const timeout = setTimeout(() => {
        console.log('// greetings from the timeout:', val)
        resolve()
      }, 1000)

      promiseContext.onCancel = () => { // <---------- HERE
        console.log('// clearing:', val)
        clearTimeout(timeout)
      }
    })
  })
  .queueTap(async (val) => {
    console.log('// output:', val)
  })

mp.pump('a')
mp.pump('b')
mp.pump('c')
mp.pump('d')

// clearing: a
// clearing: b
// clearing: c
// greetings from the timeout: d
// output: d

Pooling in PromiseValves

Promises can be run concurrently in two ways; either with the poolMap, poolTap predefined valves, or with the poolSize param set in any of the PromiseValves.

Here comes an example of the predefined valves. They take the size of the pool as the first argument and a promiseFactory as the second one.

const { MoonPipe } = require('moonpipe')
const mp = new MoonPipe()
  .poolMap(2, async (val) => {
    return 'mapped_' + val
  })
  .queueTap(async (val) => {
    console.log('output:', val)
  })

Here is the same thing but using the poolSize param provided through the options object.

const { MoonPipe } = require('moonpipe')

const mp = new MoonPipe()
  .queueMap(async (val) => {
    return 'mapped_' + val
  }, {
    poolSize: 2, // <----- poolSize is increased HERE
  })
  .queueTap(async (val) => {
    console.log('output:', val)
  })

Custom PromiseValves

Predefined PromiseValves internally run an instance of the PromiseValve class. It is possible to create your own PromiseValve flavors and connect them to a pipe with the .pipe method. The .pipe method accepts a valve as the first argument, and optionally two CHANNEL_TYPE params as the second and third arguments. By default channels are set to the CHANNEL_TYPE.DATA, so you don't have to worry about them. If you, however, want to use your valve as an error handler, set the inputChannel to the CHANNEL_TYPE.ERROR and the outputChannel to either CHANNEL_TYPE.ERROR or CHANNEL_TYPE.DATA.

//             inputChannel        outputChannel
mp.pipe(valve, CHANNEL_TYPE.ERROR, CHANNEL_TYPE.DATA)

Here I will show you an example of a PromiseValve which is similar to the throttleMap valve, but has a bigger maxBufferSize. For the complete info about presets look at the Presets explained section.

const {
  MoonPipe,
  PromiseValve,
  PROMISE_RESOLVE_TYPE,
  BUFFER_TYPE,
  OVERFLOW_ACTION,
  ConstantBackoff,
} = require('moonpipe')

const preset = {
  name: null,
  maxBufferSize: 3,
  bufferType: BUFFER_TYPE.QUEUE,
  overflowAction: OVERFLOW_ACTION.SHIFT,
  resolveType: PROMISE_RESOLVE_TYPE.MAP,
  cancelOnPump: false,
  timeoutMs: 0,
  poolSize: 1,
  cache: false,
  hashFunction: value => value,
  repeatPredicate: () => false,
  repeatBackoffFactory: () => new ConstantBackoff(0),
}

const customTimeValve = new PromiseValve(preset, val => val.toUpperCase())

const mp = new MoonPipe()
  .pipe(customTimeValve) // <-- your custom valve is plugged in HERE
  .queueTap(async (val) => {
    console.log('output:', val)
  })

mp.pump('a')
mp.pump('b')
mp.pump('c')
mp.pump('d')
mp.pump('e')

// output: A
// output: D
// output: E

SynchronousValves

Synchronous valves use neither timers nor promises. They are meant to run simple functions over the incoming data.

filter

The filter(predicate, options) valve takes a predicate function as the first argument. Whenever the predicate function returns true for a value, the value is let through the filter.

const mp = new MoonPipe()
  .filter(val => val % 2 === 0)
  .queueTap(val => console.log('// out: ', val))

mp.pump(1)
mp.pump(2)
mp.pump(3)
mp.pump(4)

// out:  2
// out:  4

map

The map(transform, options) valve takes a transform function as the first argument. Whatever is returned from the map function, is pumped to the next valve in line.

const mp = new MoonPipe()
  .map(val => val % 2 === 0)
  .queueTap(val => console.log('// out: ', val))

mp.pump(1)
mp.pump(2)
mp.pump(3)
mp.pump(4)

// out:  false
// out:  true
// out:  false
// out:  true

flatten

The flatten(options) valve is meant to process arrays. It emits every element of an incoming array, as a standalone entity.

const mp = new MoonPipe()
  .flatten()
  .queueTap(val => console.log('// out: ', val))

mp.pump([1, 2])

// out:  1
// out:  2

Error handling

When an error is thrown by one of the normal valves, the pipe switches its active channel to the CHANNEL_TYPE.ERROR. Now it operates in an error mode which means that no new promises will be created until the active channel switches back to the CHANNEL_TYPE.DATA. Existing promises will be able to finish though, which can result in either a valid response or a new error. Valid responses will be put off for later, and errors will be pumped to the ErrorValves. The active channel will be switched back to the CHANNEL_TYPE.DATA when there are no more errors to handle.

There are 4+1 predefined valves that can be used to handle errors. 4 of them behave like their brothers from the Map family with that difference that they operate only in the error mode. The most common one is the queueError valve, which handles errors one after another. Another one that may be useful is the skipError valve. It handles the first error, and let all the subsequent ones slide. Other valves that can be used for error handling are cancelError and throttleError.

If you don't add any error handlers to the pipe, errors will be silently ignored.

const { MoonPipe } = require('moonpipe')
const mp = new MoonPipe()
  .queueTap(async (val) => {
    console.log('out 1:', val)
    throw 'thrown in queueTap'
  })
  .queueError(async (err) => {
    console.log('error:', err)
    return 'b'
  })
  .queueTap(val => {
    console.log('out 2:', val)
  })

mp.pump('a')

// out 1: a
// error: thrown in queueTap
// out 2: b

There is also 1 synchronous error handler, namely filterError. It operates in the error mode, like other error handlers, and swallows errors that do not meet the criteria of the filter predicate.

  // Errors other than the `new Error('haha')` will be passed down the pipe.
  .filterError(err => err.message !== 'haha')

Hooks

onBusyTap (DEPRECATED)

The onBusyTap hook is called every time the pipe goes from an idle state to a busy state. The callback provided by you is supposed to be synchronous. It takes the pumped value as the first argument. If it throws an error, the error will be pumped to the nearest error valve. There can be only one onBusyTap hook.

const mp = new MoonPipe()
  .onBusyTap((value) => {
    console.log('is loading', value)
  })

onBusy

The onBusy hook is called every time the pipe goes from an idle state to a busy state. The callback provided by you is supposed to be synchronous. It does NOT take any arguments. If it throws an error, the error will be silently ignored. There can be only one onBusy hook.

const mp = new MoonPipe()
  .onBusy(() => {
    console.log('is loading')
  })

onIdle

The onIdle hook is called every time the pipe goes from a busy state to an idle state. The callback provided by you is supposed to be synchronous. It does NOT take any arguments. If it throws an error, the error will be silently ignored. There can be only one onIdle hook.

const mp = new MoonPipe()
  .onIdle(() => {
    console.log('is NOT loading anymore')
  })

onBusyBy

The onBusyBy hook is like the onBusy one but for Splitters. It can be added only after a call to the splitBy method and before the corresponding call to the join method. It will be called separately for every internal pipe created by the Splitter, every time the pipe goes from an idle state to a busy state. The callback provided by you is supposed to be synchronous. It takes one argument - the same one that is returned by the classification function provided to the splitBy method. There can be only one onBusyBy hook per Splitter.

const mp = new MoonPipe()
  .splitBy(2, value => value.color)
  .onBusyBy(color => {
    console.log('// onBusyBy', color)
  })
  .throttleMap(async value => value)
  .onIdleBy(color => {
    console.log('// onIdleBy', color)
  })
  .join()

onIdleBy

The onIdleBy hook is like the onIdle one but for Splitters. It is a partner in crime, and behaves much like the onBusyBy hook. See above.


One use case for the onBusy/onIdle hooks that I know is to show a spinner in the onBusy hook, and hide it in the onIdle hook.

const mp = new MoonPipe()
  .onBusy(() => {
    console.log('is loading')
  })
  .onIdle(() => {
    console.log('is NOT loading anymore')
  })
  .queueTap(async (val) => {
    console.log('output:', val)
  })

mp.pump(1)
mp.pump(2)

// is loading
// output: 1
// output: 2
// is NOT loading anymore

History

The most recently pumped value is kept in the history buffer. It can be pumped again with the rePumpLast method. The method is useful when you, for example, manually update the cache and want to push the new value through afterwards.

const mp = new MoonPipe()
  .queueTap(val => console.log('// out: ', val))

mp.pump('echo')
mp.rePumpLast() // <--- HERE
// out:  echo
// out:  echo

As Promise

An instance of MoonPipe can be awaited with the getOnIdlePromise() method.

async function example() {
  const mp = new MoonPipe().queueTap(() => {})
  mp.pump(1)
  await mp.getOnIdlePromise()
}

The getOnIdlePromise() method returns a Promise that is resolved when the pipe has nothing more to do. The OnIdlePromise is meant only as a simple synchronization mechanism. It is never rejected, as errors do not propagate to the onIdle stage. It is resolved when the pipe turns idle.

Beware that the pipe turns idle only if it first was busy. If you await a pipe that has never been busy, you will wait forever. A similar gotcha you will encounter when your pipe consists of only synchronous valves. In this case you will not be able to await the pipe, because the pipe turns idle even before you get to call the getOnidlepromise() method.

Clearing out buffers

Sometimes you may want to stop the pipe, or a valve, from what it's doing and remove every pumped value that waits for its turn. Methods that do that are buffersClearAll(), and buffersClearOne(valveName). buffersClearAll() removes every value from the entire pipe, whereas buffersClearOne(valveName) removes every value from a single valve or a single splitter. In addition to clearing out buffers, the mentioned methods cancel active promises in PromiseValves, and active timeouts in TimeValves. Notice that the splitBy valve is special, as clearing buffers (or the cache) on it applies to everything that's between splitBy and join.

const mp = new MoonPipe()
  .cancelLazy(1000, {name: 'cl'})
  .queueMap(async (val) => val, {name: 'qm'})
  .splitBy(1, () => 'whatever', {name: 'splitter'})
  .queueTap(async (val) => val, {name: 'qt'})
  .queueTap(async (val) => val)
  .join()
  .queueError(async (err) => {})

mp.buffersClearOne('qm') // this will clear out the buffer in the valve named 'qm'
mp.buffersClearOne('splitter') // this will clear out everything that's between splitBy() and join()
mp.buffersClearOne('qt') // this will clear out the buffer in the valve named 'qt'
mp.buffersClearAll()  // this will clear out buffers in all the valves

SplitBy/Join

Sometimes it is desirable to split the input into groups based on some factor, and give each group a separate pipe. The splitBy valve does exactly that. It splits the incoming data by a factor that can be defined in the classification function, which is passed to the splitBy valve as the second argument. The first argument passed to the splitBy valve is the number of pipes that are going to be created under the hood. The second argument is a classification function. The classification function takes the pumped value as the first argument and returns the label of a bucket the data will be put into. Every data bucket will be processed by a dedicated pipe in separation from the other buckets. For example .splitBy(2, value => value.id) will create 2 pipes, and will group the incoming values by the value.id.

It is perfectly fine to have more groups than the number of underlying pipes. If there are more groups than the pipes, some of the groups will wait for a free pipe before they move on.

When you are done with splitting, use the join() valve to collect the results. Everything that is between splitBy and join constitutes a full-fledged pipe.

The splitBy/join pattern can be useful when e.g. you make a few consecutive PUT requests, and you want to have one pipe per object id. E.g:

const mp = new MoonPipe()
  .splitBy(2, value => value.id)     //  /\
  .throttleMap(async value => value) //  ||
  .join()                            //  \/
  .queueTap(value => {
    console.log('//', value)
  })

console.log('// output:')
mp.pump({ id: 1, n: 'start' })
mp.pump({ id: 1, n: 'middle' })
mp.pump({ id: 1, n: 'end' })
mp.pump({ id: 2, n: 'start' })
mp.pump({ id: 2, n: 'middle' })
mp.pump({ id: 2, n: 'end' })

// output:
// { id: 1, n: 'start' }
// { id: 2, n: 'start' }
// { id: 1, n: 'end' }
// { id: 2, n: 'end' }

Note that the splitBy valves can be nested. The following example creates 2 concurrent pipes, and for each of the 2 created pipes creates another 2, which gives you a fork with 4 teeth.

const mp = new MoonPipe()
  .splitBy(2, value => value.color) //   /\
  .splitBy(2, value => value.id)    //  /\/\
  .queueTap(value => {})            //  ||||
  .queueTap(value => {})            //  ||||
  .join()                           //  \/\/
  .join()                           //   \/

Also note that inner pipes behave a lot like regular valves. This means that errors from inner pipes are propagated to the parent pipe. However, if you decide to handle errors in inner pipes, errors will not be propagated to the parent pipe and the parent pipe will continue operating in the DATA mode, while the inner pipes will be handling errors in the ERROR mode.

Presets explained

Base Preset Params (These params are common to both the TimeValves and PromiseValves):

  • name - A name that is used when the valve is added to the pipe
  • maxBufferSize - the size of the internal buffer
  • bufferType- describes the order in which values are processed
    • QUEUE - values are processed one after another
  • overflowAction - an action taken when the buffer is full
    • EMIT_ERROR - a BufferOverflowError error is emitted
    • SHIFT - the first value from the buffer is removed
    • SKIP - new values are skipped (not added to the buffer and so never processed)
    • SLICE - In the SLICE mode values are packed into an array which is later processed as a whole. When the array is full, a new array is created.
  • outputChannel (DEPRECATED) - the channel that regular data will be emitted to. Unexpected errors are always emitted to the ERROR channel. Data can be emitted to either DATA or ERROR
    • DATA - data is emitted to the DATA channel, unexpected errors are emitted to the ERROR channel
    • ERROR - both data and errors are emitted to the ERROR channel

TimeValve Preset Params:

  • resolveType - determines when the value is emitted
    • LAZY - first the timeout is set. The value is emitted only after the timeout ends.
    • EAGER - if there's no active timeout, the value is emitted immediately and the timeout is set. Otherwise the value is emitted after the previous timeout ends.
  • cancelOnPump - if true, the active timeout is reset on every new value

PromiseValve Preset Params:

  • resolveType - determines what value is emitted
    • MAP - the result of the promise is emitted
    • TAP - the value that is fed into the promise is emitted
  • cancelOnPump - if true, the active promise is canceled on every new value
  • timeoutMs - time after which the promise is canceled and a TimeoutError is emitted
  • poolSize - number of promises running concurrently
  • cache - if true, the result of the promise will be cached
  • hashFunction - a function that takes the pumped value and returns the key at witch the result will be cached. Defaults to value => value
  • repeatPredicate - a synchronous function which takes an attemptsMade counter as the first argument and an error as the second one. It returns true or false.
  • repeatBackoffFactory - a function that returns an instance of a Backoff class. Currently ConstantBackoff and LinearBackoff classes are implemented.

Predefined presets can be found in the TimeValve.js and PromiseValve.js files.

Utilities

delayPromise

delayPromise is a function that takes a number of milliseconds as the first argument and returns a promise which is resolved after the provided number of milliseconds. Normally you don't need it, as valves like queueLazy can do a similar thing. However, it can be useful for debugging or playing around.

const { delayPromise } = require('moonpipe')
async function run() {
  await delayPromise(2000)
}

TypeScript

TypeScript is supported via declaration files, which are generated from JSDoc comments, and included in the ./types folder. Proper types are defined only for the public part of the MoonPipe class, but they should cover all common use cases. The central point is the MoonPipe<D_IN, D_OUT> class. It takes 2 generic parameters D_IN and D_OUT. The first one is what you pump to the pipe: mp.pump(value: D_IN), the second one is the input type of the next valve. You don't have to worry about the D_OUT param. The important thing is that when you declare your pipe, both D_IN and D_OUT params should be set to the same type.

const m1: MoonPipe<number, number> = new MoonPipe()
const m2: MoonPipe<string, string> = new MoonPipe()

Another important thing is that, if you want to get the types correctly, you must first instantiate the pipe, and start chaining only in the second step. Otherwise you will not be able to fully benefit from the type system.

// correct:
// instantiate first
const m1: MoonPipe<number, number> = new MoonPipe()
// start chaining later
m1.queueMap(async val => true)
  .queueMap(async val => 'a')

// wrong:
// instantiate and start chaining right away
const m2: MoonPipe<unknown, string> = new MoonPipe()
  .queueMap(async () => true)
  .queueMap(async () => 'a')
// The type of the pipe in this example is determined by the last call
// to the queueMap method. The last queueMap changes the type of the
// pipe to MoonPipe<D_IN, string>. D_IN was not known at the time when
// m2 was instantiated, and so it will stay unknown forever.

Type system limitations

MoonPipe is a JavaScript library. JavaScript type system is more flexible than TypeScript. Because of that some of the types cannot be represented correctly. Here is a full list of things that are off:

  • The pipe method returns MoonPipe<D_IN, any>. It swallows the type information carried by the D_OUT param.
  • The flatten method returns MoonPipe<D_IN, any>. It swallows the type information carried by the D_OUT param.
  • The flatten method is not type safe. In a perfect world, you shouldn't be able to call it when the D_OUT param is not an Array. The current implementation always lets you do this, which means that it can emit an error if you are not careful.

Versioning

The package follows Semantic Versioning, which means that given a version number MAJOR.MINOR.PATCH, the components will be incremented as follows:

  1. MAJOR version when making incompatible API changes
  2. MINOR version when adding functionality in a backward compatible manner
  3. PATCH version when making backward compatible bug fixes

Contributing

By contributing your code to this project, you agree to license your contribution under the MIT license.

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