funstream

Funstream gives you iteratorish methods on your streams.

const fun = require('funstream')

/***** USAGE EXAMPLES *****/

// Make a stream, fun, then run some list comprehensions on it
fun(boringStream)
  .map(n => n + 1)
  .filter(n => n % 2)
  .map(n => `${n}\n`)
  .pipe(process.stdout)
// it's still a stream all the way through so each chunk is processed as its read

// funstreams are also promises, which is particularly useful when
// collection results from something like reduce
fun(boringStream)
  .map(n => n + 1)
  .filter(n => n % 2)
  .reduce((a, b) => a + b)
  .then(console.log)

/***** CONSTRUCTING *****/

// We can make just about anything a funstream
// readable streams…
fun(process.stdin)

// Promises of streams... which means you can immediately attach your body stream processing and it'll
// start getting data once the fetch completes.
fun(fetch('https://example.com').then(r => r.body))

// generators…
function * mygen () {
  for (let ii = 0; ii < 10000; ++ii) {
    yield ii
  }
}
fun(mygen())

// async generators
async function * myasyncgen () {
  for (let ii = 0; ii < 10000; ++ii) {
    yield ii
  }
}
fun(myasyncgen())

// and on node 10, you can iterate a funstream
for await (let value of fun(…)) {
  …
}

// arrays
fun([1, 2, 3, 4])

// even writable streams, which can be treated as promises to see when they resolve or reject
fun(writestream)
  .then(() => console.log('finished!'))
  .catch(err => console.error('stream error', err)

// fun writable streams are streams, continue to be writable streams even
// though you can use them likes promises
process.stdin.pipe(fun(writestream))
  .then(() => console.log('done!'))

// fun streams can also be piped into, handy when the source stream isn't a
// standard Node.js stream, but does implement the pipe interface.
process.stdin.pipe(fun())
  .map(str => transformStr(str))
  .pipe(process.stdout)

// You can bundle up a series of transforms into single ttransform stream
const mytransformStream =
  fun(stream => stream.map(str => str.toUpperCase).
                       flatMap(v = [v, v]))

/***** ADDED METHODS *****/

// Fun functions can be sync…
.map(str => str.slice(10))

// Fun functions can be async…
.map(async str => (await transformStr(str)).slice(10))

// Fun functions can be promise returning…
.map(str => transformStr(str), {async: true})

// Fun functions can be callback using…
.map((str, cb) => transformStrCB(str, cb), {async: true})

Funstream makes object streams better.

Funstream constructors

fun(readableStream[, opts]) → FunStream

This is probably what you want.

Makes an existing stream a funstream! Has the advantage over fun() of handling error propagation for you. All funs are promises of their completion too, so you can await or .catch your stream.

opts is an optional options object. The only option currently is async which let's you explicitly tell Funstream if your callbacks are sync or async. If you don't include this we'll detect which you're using by looking at the number of arguments your callback takes. Because promises and sync functions take the same number of arguments, if you're using promise returning callbacks you'll need to explicitly pass in async: true.

fun(callback[, opts]) → FunStream

This lets you bundle a fun-stream pipeline up into a single transform stream that you might pass to something else. The callback receives a FunStream as its only argument, chain off of that as you like and return the result. The stream returned by fun() will write to that first FunStream and read from the end of your chain. (With the usual error propagation.)

fun(writableStream[, opts]) → PromiseStream

Writable streams can't be fun per se, since being fun means having iterators. What we can do is make them resolvable as promises, with an extra feature or two.

fun(array[,opts]) → FunStream

Returns a funstream that will receive entries from the array one at a time while respecting back pressure.

fun(string[,opts]) → FunStream

Returns a funstream that will receive entries from the array one at a time while respecting back pressure.

fun(iterator[,opts]) → FunStream

Returns a funstream that will receive values from the iterator one at a time while respecting back pressure.

fun(asyncIterator[,opts]) → FunStream

Returns a funstream that will receive values from the async iterator one at a time while respecting back pressure.

fun(promise[,opts]) → FunStream

Returns a funstream that will consume the result of the promise exactly as the equivalent plain value would be. No data will be emitted until the promise resolves. If it rejects it will be propagated as an error in the usual ways.

These are special, because the returned object only lazily becomes a stream. If you treat it as a promise then no stream construction occurs.

fun([opts]) → FunStream

Make a passthrough Funstream. You can pipe into this to get access to our handy methods.

fun.with(todo[, opts]) → FunStream

For those times when you want to create a stream from nothing, or at least, from a non-stream source, fun.with provides any easy interface for doing that.

Pass it a function and you'll get a stream you can write to. You can close it off by just resolving your promise which is particularly convenient when your function is declared async.

Constructs a passthrough funstream and passes it as an argument to todo. todo is a function that returns a Promise. When the Promise resolves the stream will end.

const sleep = (ms, ...args) => new Promise(_ => setTimeout(_, ms, ...args))
const result = await fun.with(async st => {
  for (let count = 0; count < 5; ++count) {
    st.write(count)
    await sleep(100)
  }
}).list() // [ 0, 1, 2, 3, 4 ]

// demonstrating identity here, you wouldn't want to do this:
let a
let b = fun.with(async st => { a = st })
a === b // true

fun.FunStream

Exactly the same as stream.PassThrough but with fun added. fun() is mostly the same as new fun.FunStream(). (The former will use Bluebird for promises if available but fallback to system promises. The latter has no magic and just uses system promises.)

require('funstream/fun-stream').mixin

The core extension mechanism (otherwise unneeded). It adds fun to an existing class or object. Classes that have fun mixed in need to also call FunPassThrough.funInit.call(this, opts) in their constructors.

Funstream and Pipelines

Contrary to ordinary, BORING streams, we make sure errors are passed along when we chain into something. This applies when you .map or .filter but it ALSO applies when you .pipe.

PromiseStream methods

.fun.finished() → Promise

Available on Writable promise streams, the returned Promise will resolved when the stream emits a finish event. The promise will be rejected if the stream emits an error event.

If the stream emits a result event then the stream will resolve with that value.

.fun.closed() → Promise

Available on Writable promise streams, the returned Promise will resolved when the stream emits a close event. The promise will be rejected if the stream emits an error event.

NOTE: Not all streams emit a close event and if you use this on a stream that does not then it will never resolve.

.async() → this

.sync() → this

Sets the stream async stream option to true and false respectively.

.async(todo) → FunStream

.sync(todo) → FunStream

Runs todo with a stream with the appropriate async option set. The returned value is restored to the previous setting.

fun([1,2,3])
  .filter(async n => n > 0)
  .sync(str => str.filter(n => n < 3).map(n => n * 2))

.fun.ended() → Promise

Returns a Promise that resolves when the stream emits an end event. If the stream emits an error event then it will reject.

.fun.writable() → Promise(Boolean)

With Node >= 11.4.0:

Returns a promise that resolves when the stream is writable to ensure you don't bloat out the buffers of a stream that is slow to consume data:

await stream.fun.writable()
stream.write('my chunk of data')

Under the hood what this does is check the writable flag introduced in 11.4, if that's true then it just resolves, if false it attaches itself to the drain event and resolves when that happens.

With Node < 11.4.0:

Prior to 11.4, you have to track writable status yourself, but you can still use fun.writable() to be notified when the stream is ready for more data.

DANGER: Be sure that the stream is NOT writable before calling fun.writable or the promise may never resolve (because the underlying stream won't emit a drain event.)

const writable = stream.write('my chunk of data')
if (!writable) await stream.fun.writable()

FunStream methods

This is the good stuff. All callbacks can be sync or async. You can indicate this by setting the async property on the opts object either when calling the method below or when constructing the objects to start with. Values of the async property propagate down the chain, for example:

.map(…, {async: true}).map(…)

The second map callback will also be assume do to be async.

Multiple sync functions of the same time will be automatically aggregated without constructing additional streams, so:

.filter(n => n < 23).filter(n => n > 5)

The second filter call actually returns the same stream object. This does mean that if you try to fork the streams in between it won't work. Sorry.

.pipe(target[, opts]) → FunStream(target)

Like an ordinary pipe, but funerer. In addition mutating the target into a funstream we also forward errors to it.

.head(numberOfItems) → FunStream

Will only forward the first numberOfItems down stream. The remainder are ignored. At the moment this does not end the stream after the numberOfItems limit is hit, but in future it likely will.

fun(stream)
  .head(5)
  .forEach(item => { // only sees the first five items regardless of how long the stream is.
  })

.filter(filterWith[, opts]) → FunStream

Filter the stream!

• filterWith(data) → Boolean (can throw)
• filterWith(data, cb) (and cb(err, shouldInclude))
• `filterWith(data) → Promise(Boolean)

If filterWith returns true, we include the value in the output stream, otherwise not.

.map(mapWith[, opts]) → FunStream

Transform the stream!

• mapWith(data) → newData (can throw)
• mapWith(data, cb) (and cb(err, newData))
• `mapWith(data) → Promise(newData)

data is replaced with newData from mapWith in the output stream.

.mutate(mutateWith[, opts]) → FunStream

stream.mutate(data => {…}) is sugar for stream.map(data => {…; return data})

.flat([opts]) → FunStream

Flattens arrays in the streams into object emissions! That is to say, a stream of two objects:

[1, 2, 3], [23, 42, 57]

Will become a stream of six objects:

1, 2, 3, 23, 42, 57

This is implemented as stream.flatMap(v => v, opts)

.flatMap([opts]) → FunStream

Transform all the stream elements and flatten any return values. This is the equivalent of:

stream.map(…).flat()

Only without multiple phases.

.lines([opts]) → FunStream

Parse the input stream into lines, emitting one line per chunk. Newlines are removed.

.ndjson([opts]) → FunStream

.fromNdjson([opts]) → FunStream

Parse the input stream as newline delimited JSON, emitting one parsed JSON object per line. Empty lines are ignored.

.toNdjson([opts]) → FunStream

Take an input object stream and emit as newline delimited JSON. Sugar for:

stream.map(_ => JSON.stringify(_) + '\n', opts)

.sort(sortWith[, opts]) → FunStream

WARNING: This has to load all of your content into memory in order to sort it, so be sure to do your filtering or limiting (with .head) before you call this. This results in a funstream fed from the sorted array.

sortWith(a, b) → -1 | 0 | 1 – It's the usual sort comparison function. It must be synchronous as it's ultimately passed to Array.sort.

Sort a stream alphabetically:

fun(stream)
  .sort((a, b) => a.localeCompare(b))

.grab(grabWith[, opts]) → FunStream

WARNING: This has to load all of your content into memory in order to sort it, so be sure to do your filtering or limiting (with .head) before you call this. This results in a funstream fed from the sorted array.

grabWith is a synchronous function. It takes an array as an argument and turns the return value back into a stream with fun(). The array is produced by reading the entire stream, so be warned.

For example, sort can be implemented as:

function sortStream (st) {
  return st.grab(v => v.sort(sortWith))
}

It makes it easy to apply array verbs to a stream that aren't otherwise supported but it does mean loading the entire stream into memory.

It's the equivalent of fun(grabWith(await stream.list()))

.list([opts]) → FunStream

Alias: .collect(opts)

Promise an array of all of the values in the stream. Let's you do things like…

const data = await fun().map(…).filter(…).list()

It's just sugar for: reduceToArray((acc, val) => acc.push(val), opts)

.concat([opts]) → FunStream

Promise a string produced by concatenating all of the values in the stream.

.json([opts]) → PromiseStream

.fromJson([opts]) → PromiseStream

Promise an object produced by JSON parsing the result of .concat(). Sugar for:

stream.concat().then(str => JSON.parse(str))

.toJson([opts]) -> PromiseStream

Given a stream of objects, produces a JSON stringified array of them. Sugar for:

stream.grab(_ => JSON.stringify(_), opts)

.reduce(reduceWith[, initial[, opts]]) → FunStream

Promise the result of computing everything.

• reduceWith(acc, value) → acc (can throw)
• reduceWith(acc, value, cb) (and cb(err, acc))
• `reduceWith(acc, value) → Promise(acc)

Concat a stream:

fun(stream)
  .reduce((acc, value) => acc + value)
  .then(wholeThing => { … })

The return value is also a stream, so you can hang the usual event listeners off it. Reduce streams emit a result event just before finish with the final value of the accumulator in the reduce.

.reduceToArray(reduceWith[, opts]) → FunStream

Promise the result of reducing into an array. Handy when you want to push on to an array without worrying about your return value. This is sugar for:

fun(stream)
  .reduce((acc, value) => { reduceWith(acc, value) ; return acc }, [])

.reduceToArray(reduceWith[, opts]) → FunStream

Promise the result of reducing into an array. Handy when you want to build an object without worrying about your return values. This is sugar for:

fun(stream)
  .reduce((acc, value) => { reduceWith(acc, value) ; return acc }, {})

.forEach(consumeWith[, opts]) → PromiseStream

Run some code for every chunk, promise that the stream is done.

Example, print each line:

fun(stream)
  .forEach(chunk => console.log(chunk)
  .then(() => console.log('Done!'))

As with reduce streams the return value from forEach is both a promise and a stream.

Benchmarks