import { match, P } from 'ts-pattern'; type Data = | { type: 'text'; content: string } | { type: 'img'; src: string }; type Result = | { type: 'ok'; data: Data } | { type: 'error'; error: Error }; const result: Result = ...; const html = match(result) .with({ type: 'error' }, () => <p>Oups! An error occured</p>) .with({ type: 'ok', data: { type: 'text' } }, (res) => <p>{res.data.content}</p>) .with({ type: 'ok', data: { type: 'img', src: P.select() } }, (src) => <img src={src} />) .exhaustive();
Write better and safer conditions. Pattern matching lets you express complex conditions in a single, compact expression. Your code becomes shorter and more readable. Exhaustiveness checking ensures you haven’t forgotten any possible case.
.exhaustive()
.isMatching
.P._
, P.string
, P.number
, etc.P.select(name?)
function.Pattern Matching is a code-branching technique coming from functional programming languages that's more powerful and often less verbose than imperative alternatives (if/else/switch statements), especially for complex conditions.
Pattern Matching is implemented in Haskell, Rust, Swift, Elixir, and many other languages. There is a tc39 proposal to add Pattern Matching to EcmaScript, but it is still in stage 1 and isn't likely to land before several years. Luckily, pattern matching can be implemented in userland. ts-pattern
Provides a typesafe pattern matching implementation that you can start using today.
Read the introduction blog post: Bringing Pattern Matching to TypeScript 🎨 Introducing TS-Pattern
Via npm
npm install ts-pattern
Via yarn
yarn add ts-pattern
Via pnpm
pnpm add ts-pattern
Via Bun
bun add ts-pattern
TS-Pattern assumes that Strict Mode is enabled in your tsconfig.json
file.
ts-pattern | TypeScript v5+ | TypeScript v4.5+ | TypeScript v4.2+ |
---|---|---|---|
v5.x (Docs) (Migration Guide) | ✅ | ❌ | ❌ |
v4.x (Docs) (Migration Guide) | ✅ | ✅ | ❌ |
v3.x (Docs) | ✅ | ✅ | ✅ |
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P.when
Guard DemoP.not
Pattern DemoP.select
Pattern DemoP.union
Pattern DemoAs an example, let's create a state reducer for a frontend application that fetches some data.
Our application can be in four different states: idle
, loading
,
success
and error
. Depending on which state we are in, some events
can occur. Here are all the possible types of event our application
can respond to: fetch
, success
, error
and cancel
.
I use the word event
but you can replace it with action
if you are used
to Redux's terminology.
type State = | { status: 'idle' } | { status: 'loading'; startTime: number } | { status: 'success'; data: string } | { status: 'error'; error: Error }; type Event = | { type: 'fetch' } | { type: 'success'; data: string } | { type: 'error'; error: Error } | { type: 'cancel' };
Even though our application can handle 4 events, only a subset of these
events make sense for each given state. For instance we can only cancel
a request if we are currently in the loading
state.
To avoid unwanted state changes that could lead to bugs, we want our state reducer function to branch on both the state and the event, and return a new state.
This is a case where match
really shines. Instead of writing nested switch statements, we can use pattern matching to simultaneously check the state and the event object:
import { match, P } from 'ts-pattern'; const reducer = (state: State, event: Event) => match([state, event]) .returnType<State>() .with( [{ status: 'loading' }, { type: 'success' }], ([_, event]) => ({ status: 'success', data: event.data }) ) .with( [{ status: 'loading' }, { type: 'error', error: P.select() }], (error) => ({ status: 'error', error }) ) .with( [{ status: P.not('loading') }, { type: 'fetch' }], () => ({ status: 'loading', startTime: Date.now() }) ) .with( [ { status: 'loading', startTime: P.when((t) => t + 2000 < Date.now()), }, { type: 'cancel' }, ], () => ({ status: 'idle' }) ) .with(P._, () => state) .exhaustive();
There's a lot going on, so let's go through this code bit by bit:
match
takes a value and returns a builder on which you can add your pattern matching cases.
match([state, event])
It's also possible to specify the input and output type explicitly with match<Input, Output>(...)
, but this is usually unnecessary, as TS-Pattern is able to infer them.
.returnType
is an optional method that you can call if you want to force all following code-branches to return a value of a specific type. It takes a single type parameter, provided between <AngleBrackets>
.
.returnType<State>()
Here, we use this method to make sure all branches return a valid State
object.
Then we add a first with
clause:
.with( [{ status: 'loading' }, { type: 'success' }], ([state, event]) => ({ // `state` is inferred as { status: 'loading' } // `event` is inferred as { type: 'success', data: string } status: 'success', data: event.data, }) )
The first argument is the pattern: the shape of value you expect for this branch.
The second argument is the handler function: the code branch that will be called if the input value matches the pattern.
The handler function takes the input value as first parameter with its type narrowed down to what the pattern matches.
In the second with
clause, we use the P.select
function:
.with( [ { status: 'loading' }, { type: 'error', error: P.select() } ], (error) => ({ status: 'error', error }) )
P.select()
lets you extract a piece of your input value and inject it into your handler. It is pretty useful when pattern matching on deep data structures because it avoids the hassle of destructuring your input in your handler.
Since we didn't pass any name to P.select()
, It will inject the event.error
property as first argument to the handler function. Note that you can still access the full input value with its type narrowed by your pattern as second argument of the handler function:
.with( [ { status: 'loading' }, { type: 'error', error: P.select() } ], (error, stateAndEvent) => { // error: Error // stateAndEvent: [{ status: 'loading' }, { type: 'error', error: Error }] } )
In a pattern, we can only have a single anonymous selection. If you need to select more properties on your input data structure, you will need to give them names:
.with( [ { status: 'success', data: P.select('prevData') }, { type: 'error', error: P.select('err') } ], ({ prevData, err }) => { // Do something with (prevData: string) and (err: Error). } )
Each named selection will be injected inside a selections
object, passed as first argument to the handler function. Names can be any strings.
If you need to match on everything but a specific value, you can use a P.not(<pattern>)
pattern. it's a function taking a pattern and returning its opposite:
.with( [{ status: P.not('loading') }, { type: 'fetch' }], () => ({ status: 'loading' }) )
P.when()
and guard functionsSometimes, we need to make sure our input value respects a condition that can't be expressed by a pattern. For example, imagine you need to check that a number is positive. In these cases, we can use guard functions: functions taking a value and returning a boolean
.
With TS-Pattern, there are two ways to use a guard function:
P.when(<guard function>)
inside one of your patterns.with(...)
.with( [ { status: 'loading', startTime: P.when((t) => t + 2000 < Date.now()), }, { type: 'cancel' }, ], () => ({ status: 'idle' }) )
.with(...)
.with
optionally accepts a guard function as second parameter, between
the pattern
and the handler
callback:
.with( [{ status: 'loading' }, { type: 'cancel' }], ([state, event]) => state.startTime + 2000 < Date.now(), () => ({ status: 'idle' }) )
This pattern will only match if the guard function returns true
.
P._
wildcardP._
will match any value. You can use it either at the top level, or within another pattern.
.with(P._, () => state) // You could also use it inside another pattern: .with([P._, P._], () => state) // at any level: .with([P._, { type: P._ }], () => state)
.exhaustive();
.exhaustive()
executes the pattern matching expression, and returns the result. It also enables exhaustiveness checking, making sure we don't forget any possible case in our input value. This extra type safety is very nice because forgetting a case is an easy mistake to make, especially in an evolving code-base.
Note that exhaustive pattern matching is optional. It comes with the trade-off of having slightly longer compilation times because the type checker has more work to do.
Alternatively,
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