sparkler
Sparkler is a pattern matching engine for JavaScript built using
sweet.js macros, so it looks and feels
like native syntax. It has no runtime dependencies and compiles down to simple
if
s and for
s.
Here's a small slice of what you can do with it:
function myPatterns {
// Match literals
42 => 'The meaning of life',
// Tag checking for JS types using Object::toString
a @ String => 'Hello ' + a,
// Array destructuring
[...front, back] => back.concat(front),
// Object destructuring
{ foo: 'bar', x, 'y' } => x,
// Custom extractors
Email { user, domain: 'foo.com' } => user,
// Rest arguments
(a, b, ...rest) => rest,
// Rest patterns (mapping a pattern over many values)
[...{ x, y }] => _.zip(x, y),
// Guards
x @ Number if x > 10 => x
}
You can see a slew of more examples in the pattern spec file
Install
npm install -g sweet.js
npm install sparkler
sjs -m sparkler/macros myfile.js
How Does It Work?
Sparkler overloads the function
keyword as a macro (don't worry, all your old
functions will still work) but implements a slightly different syntax. There's
no argument list after the name or function keyword. Instead the function body
is just a set of ES6 style arrow-lambdas separated by commas.
function myFunc {
// Single arguments don't need parens and simple expression
// bodies get an implicit `return`.
a @ String => 'Hello ' + a,
// Add parens and braces if you need more.
(x, y, z) => {
return x + y + z;
}
}
You can also do this with anonymous functions:
DB.getResource('123', function {
(null, resp) => complete(resp),
(err) => handleError(err)
})
If no case matches, a TypeError('No match')
is thrown.
Optimization
Sparkler doesn't just try each case one at a time until one passes. That would be really inefficient. Instead, it analyzes your entire pattern matrix, and rearranges things as needed to get an optimized set of tests while still preserving the left-to-right, top-down semantics.
function expensiveExtraction {
(MyExtractor(x, y, z), 1) => doThis(),
(MyExtractor(x, y, z), *) => doThat()
}
Let's say MyExtractor
is really expensive. Sparkler efficiently backtracks,
so it will only get called once in this set of tests.
Argument Length
In JavaScript, you can call a function with any number of arguments. Arguments
that are not provided are just set to undefined
. Sparkler does not implicitly
match on argument length.
function ambiguous {
(a) => 1,
(a, b) => 2,
(a, b, c) => 3
}
The above function will always return 1
no matter how many arguments you
call it with as the first case always matches. The subsequent cases are
actually removed from the final output in the optimization phase.
If you want to match on specific argument length, you need to add a guard to your case.
function argCheck {
// Using arguments.length
(a, b, c) if arguments.length == 3 => 1,
// Or matching undefined
(a, b, undefined) => 2,
(a) => 1
}
The only time Sparkler is strict with argument length is with the empty
parameter list ()
. It will check that arguments.length
is zero. This is so
you can do stuff like this:
Foo.prototype = {
// jQuery-style getter/setter
val: function {
() => this._val,
val => {
this._val = val;
return this;
}
}
}
If you want a catch-all, you should use a wildcard (*
) or default
instead.
Match Keyword
Sparkler exports a match
macro for doing easy matching in any position.
Match Expressions
Match expressions look like function
matching, except you provide the
argument(s) upfront.
var num = 12;
var isNumber = match num {
Number => true,
* => false
};
This works by desugaring match
into a self-invoking function with num
as
the argument. Consequently, match
expressions do not support break
,
continue
, and early return
. Using a match
expression in statement
position will result in a parse error.
Match Statements
Match statements use a slightly different syntax. They look like a suped up
switch
.
var a = Foo(Foo(Foo(42)));
while (1) {
match a {
case Foo(inner):
a = inner;
default:
break;
}
}
Unlike switch
es, case
s in a match
statement do not fall through. Early
return
, break
, and switch
are all supported. Using a match
statement in
expression position will result in a parse error.
Multiple Matches
You can match on multiple expressions at once in both match
expressions and
statements.
var allNums = match (num1, num2, num3) {
(Number, Number, Number) => true,
* => false
};
match (num1, num2, num3) {
case (Number, Number, Number):
allNums = true;
default:
allNums = false;
}
Pattern Bindings and Hoisting
All bindings in patterns are declared as var
s by default, as it is the most
widely supported declaration form. Consequently, they will hoist outside of
match
statements. You may specify your declaration form by prefixing pattern
bindings with one of var
, let
, or const
.
match x {
case Foo(a): ... // will hoist
case Foo(var a): ... // will hoist
case Foo(let a): ... // will not hoist
case Foo(const a): ... // will not hoist, immutable
}
Custom Extractors
You can match on your own types by implementing a simple protocol. Let's build a simple extractor that parses emails from strings:
var Email = {
// Factor out a matching function that we'll reuse.
match: function {
x @ String => x.match(/(.+)@(.+)/),
* => null
},
// `hasInstance` is called on bare extractors.
hasInstance: function(x) {
return !!Email.match(x);
},
// `unapply` is called for array-like destructuring.
unapply: function(x) {
var m = Email.match(x);
if (m) {
return [m[1], m[2]];
}
},
// `unapplyObject` is for object-like destructuring.
unapplyObject: function(x) {
var m = Email.match(x);
if (m) {
return {
user: m[1],
domain: m[2]
};
}
}
};
Now we can use it in case arguments:
function doStuffWithEmails {
// Calls `unapplyObject`
Email { domain: 'foo.com' } => ...,
// Calls 'unapply'
Email('foo', *) => ...,
// Calls `hasInstance`
Email => ...
}
If you don't implement hasInstance
, Sparkler will fall back to a simple
instanceof
check.
adt-simple
adt-simple is a library that implements the extractor protocol out of the box, and even has its own set of macros for defining data-types.
var adt = require('adt-simple');
union Tree {
Empty,
Node {
value : *,
left : Tree,
right : Tree
}
} deriving (adt.Extractor)
function treeFn {
Empty => 'empty',
Node { value @ String } => 'string'
}
Optional Extensions
Sparkler also provides a small library that extends some of the native types with convenient functions.
require('sparkler/extend');
// Date destructuring
function dateStuff {
Date { month, year } => ...
}
// RegExp destructuring
function regexpStuff {
RegExp { flags: { 'i' }} => ...
}
// Partial-function composition with `orElse`
function partial {
Foo => 'foo'
}
var total = partial.orElse(function {
* => 'anything'
})
orElse
is added to the prototype safely using defineProperty
and isn't enumerable.
Author
Nathan Faubion (@natefaubion)
License
MIT