TypeScript/JavaScript utilities for those who don't like utilities.
-
Non-mutating functions for working with objects, arrays, maps, and sets.
-
Designed with an eye to type inference.
Experimental. The library is feature-complete and has near-full unit test coverage, but there may be major version bumps in response to initial feedback.
yarn add antiutils
or
npm install antiutils --save
Based on the "only one way to do it" principle, this library provides a utility only when something can't be easily and readably done with vanilla JavaScript. For example, we do not provide a function to get an object's property value, so instead of get('a')
you would just write value => value.a
. This is because we see the mental overhead of choosing among multiple ways to write a piece of code as higher cost compared to doing more typing.
That said, we do sometimes provide a shortcut for what would otherwise be a one-liner, such as lastInIterable
for reduceIterable((...[, value]) => value)
- not for conciseness or performance, but to improve readability.
Pipeline operator ponyfill
The library includes a function applyPipe
which takes between 1 and 12 arguments: applyPipe(x, a, b)
is equivalent to b(a(x))
, or using the pipeline operator, x |> a |> b
. Type inference works well with this function, and if any one of the proposed flavors of the pipeline operator eventually reaches stage 3 and starts to be supported in TypeScript, it would be straightforward to build a codemod to convert the function to the operator.
The library intentionally doesn't include a pipe
function that would compose functions without applying the resulting function to an argument, mainly because this would go against "only one way to do it".
The library includes non-mutating functions for working with objects, arrays, maps, and sets.
💡 TIP
If you use TypeScript 4.1+, make sure you enable strictly checked indexed access using
--noUncheckedIndexedAccess
compiler flag.
Functions for working with iterables have signatures that try to stay close to equivalent RxJS operators, but have names like mapIterable
that do not clash with RxJS.
How-to:
-
Get an element's index:
zipIterables(rangeIterable(), yourIterable)
(returns an iterable of[<element index>, <element>]
). -
Get a flag indicating if the element is the first element:
zipIterables(firstIterable, yourIterable)
(returns an iterable of[boolean, <element>]
). -
Count elements in an iterable::
applyPipe(yourIterable, reduceIterable(countReducer, 0))
. -
Check if every element in an iterable is true:
applyPipe(yourIterableOfBooleans, reduceIterable(andReducer, true))
(iteration will not continue unnecessarily because of howreduceIterable
andandReducer
are defined). -
Check if some elements in an iterable are true:
applyPipe(yourIterableOfBooleans, reduceIterable(orReducer, false))
. -
Find the first element matching a predicate:
applyPipe(yourIterable, filter(yourPredicate), firstInIterable)
. -
Yield values while a condition holds:
applyPipe( [1, 2, 3, 2], scanIterable((...[, value]) => (value <= 2 ? value : undefined)), );
(yields
1
,2
, seescanIterable
). -
Also yield the value that broke the condition:
applyPipe( [1, 2, 3, 2], scanIterable((accumulator, value) => accumulator <= 2 ? value : undefined, ), );
(yields
1
,2
,3
). -
Filter an iterable in a way that the type system understands:
applyPipe( [1, undefined], flatMapIterable((value) => (value === undefined ? [] : [value])), );
(type will be inferred as
Iterable<number>
, notIterable<number | undefined>
as would be the case if you usedfilterIterable
; the same trick works when filtering arrays and observables).
The library exports types
type CompareFunction<T> = (to: T, from: T) => number;
type EqualFunction<T> = (from: T, to: T) => boolean;
It provides implementations of CompareFunction
for primitive types and a function lexicographicCompare
to compose CompareFunction
s.
It also provides implementations of EqualFunction
for objects, iterables, maps, and sets, and a function deepEqual
that recursively delegates to those functions depending on the object type.
The library exports a type Reducer
which is like a regular reducer, but can return undefined
to stop the iteration short, and which is used by functions reduceIterable
and scanIterable
.
The library includes basic implementations of this type, all of which except the boolean ones (andReducer
and orReducer
) can also be used with arrays and observables.
First let's talk about how we define a lens. When building React components, it's convenient to work with a type which we'll call StateView
, a combination of a value and a setter:
type StateView<A> = [value: A, set: (value: A) => void];
Values returned by React's setState
hook can be treated as values of this type, and it is also what you would want to pass to an input element such as a textbox to create a two-way binding. In this library we actually define StateView
as a subtype of another type called View
(you'll soon see why):
type View<S, A> = [value: A, set: (value: A) => S];
type StateView<A> = View<void, A>;
and we define a Lens
as a function that transforms a view View<S, A>
into another view View<S, B>
(it follows that a lens will transform a StateView
into another StateView
).
To see how this works, we'll write a React component using the following two functions provided by the library:
-
objectProp
: a lens which zooms in on an object's property, e.g.objectProp('a')
will transform a value of typeStateView<{ a: number }>
into a value of typeStateView<number>
. -
bindingProps
: a helper function that converts aStateView
into an object with props that React input components understand, e.g.['x', set]
would be transformed into{ value: 'x', onChange: ({ currentTarget: { value } }) => set(value) }
.
Here's what the component will look like:
type State = { a: string; b?: { c: string } };
/**
* A component that encapsulates presentation logic but is agnostic as to how we
* manage state.
*/
const StatelessComponent = ({ stateView }: { stateView: StateView<State> }) => (
<div>
{/* An input bound to 'a'. */}
<input {...applyPipe(stateView, objectProp('a'), bindingProps)} />
{applyPipe(stateView, objectProp('b'), ([value, set]) =>
// If 'b' is absent,...
value === undefined ? (
// ...a button that adds a default value for 'b',...
<button onClick={() => set({ c: '' })}>Add 'b'</button>
) : (
// ...otherwise (if 'b' is present), an input bound to 'c'.
<input
{...applyPipe([value, set] as const, objectProp('c'), bindingProps)}
/>
),
)}
</div>
);
export const StatefulComponent = () => {
const stateView = React.useState<State>({ a: '' });
return <StatelessComponent {...{ stateView }} />;
};
In the code above, TypeScript successfully infers the types, and as we get to a point where we need to type 'a', 'b', or 'c', IntelliSense shows correct suggestions.
Checkbox is different from other inputs in that we have to use checked
prop instead of value
, so when binding a checkbox, instead of bindingProps
use bindingPropsCheckbox
.
In the component example we used objectProp
lens to transform a StateView
into another StateView
, but like other lenses, it also works on StateView
's supertype View
. Thanks to that, we can use objectProp
in the conventional way to immutably set a property nested within a larger structure, as in the following example of a reducer that sets the value of b
in { a: { b: string; c: string } }
:
type State = { a: { b: string; c: string } };
const sampleReducer = (state: State, action: { payload: string }) =>
applyPipe(
[state, (value) => value] as View<State, State>,
// Transforms values into `View<State, { b: string; c: string }>`.
objectProp('a'),
// Transforms values into `View<State, string>`.
objectProp('b'),
// `set` takes a value for `b` and returns a new `State`.
([, set]) => set(action.payload),
);
expect(sampleReducer({ a: { b: '', c: '' } }, { payload: 'x' })).toEqual({
a: { b: 'x', c: '' },
});
There is a simple helper function rootView
which converts a value
into a view [value, <identity function>]
and which we can use to replace the first argument in the applyPipe
call above, including the type signature, with just rootView(state)
.
The only other lens-related utilities that are left to mention are:
-
mapProp
: a lens to zoom in on a value stored in aMap
. -
setProp
: a lens to zoom in on presence of an element in aSet
.
-
memoize
: a utility to memoize values using WeakMap. -
assertNever
: utility used to typecheck that a conditional has exhausted all possibilities, e.g. ifa
has type0 | 1
, you could writea === 0 ? 'zero' : a === 1 ? 'one' : assertNever(a)
.