This is a port from https://github.com/pelotom/runtypes for Deno.
Since its use is discouraged as they are incompatible with the future decorators standard in JavaScript.
Runtypes allow you to take values about which you have no assurances and check
that they conform to some type A
. This is done by means of composable type
validators of primitives, literals, arrays, tuples, records, unions,
intersections and more.
Suppose you have objects which represent asteroids, planets, ships and crew members. In TypeScript, you might write their types like so:
type Vector = [number, number, number];
type Asteroid = {
type: "asteroid";
location: Vector;
mass: number;
};
type Planet = {
type: "planet";
location: Vector;
mass: number;
population: number;
habitable: boolean;
};
type Rank = "captain" | "first mate" | "officer" | "ensign";
type CrewMember = {
name: string;
age: number;
rank: Rank;
home: Planet;
};
type Ship = {
type: "ship";
location: Vector;
mass: number;
name: string;
crew: CrewMember[];
};
type SpaceObject = Asteroid | Planet | Ship;
If the objects which are supposed to have these shapes are loaded from some
external source, perhaps a JSON file, we need to validate that the objects
conform to their specifications. We do so by building corresponding Runtype
s
in a very straightforward manner:
import {
Array,
Boolean,
Literal,
Number,
Record,
String,
Tuple,
Union,
} from "https://deno.land/x/runtypes/mod.ts";
const Vector = Tuple(Number, Number, Number);
const Asteroid = Record({
type: Literal("asteroid"),
location: Vector,
mass: Number,
});
const Planet = Record({
type: Literal("planet"),
location: Vector,
mass: Number,
population: Number,
habitable: Boolean,
});
const Rank = Union(
Literal("captain"),
Literal("first mate"),
Literal("officer"),
Literal("ensign"),
);
const CrewMember = Record({
name: String,
age: Number,
rank: Rank,
home: Planet,
});
const Ship = Record({
type: Literal("ship"),
location: Vector,
mass: Number,
name: String,
crew: Array(CrewMember),
});
const SpaceObject = Union(Asteroid, Planet, Ship);
(See the examples directory for an expanded version of this.)
Now if we are given a putative SpaceObject
we can validate it like so:
// spaceObject: SpaceObject
const spaceObject = SpaceObject.check(obj);
If the object doesn't conform to the type specification, check
will throw an
exception.
In TypeScript, the inferred type of Asteroid
in the above example is
Runtype<{
type: "asteroid";
location: [number, number, number];
mass: number;
}>;
That is, it's a Runtype<Asteroid>
, and you could annotate it as such. But we
don't really have to define the Asteroid
type in TypeScript at all now,
because the inferred type is correct. Defining each of your types twice, once at
the type level and then again at the value level, is a pain and not very
DRY. Fortunately you can
define a static Asteroid
type which is an alias to the Runtype
-derived type
like so:
import type { Static } from "https://deno.land/x/runtypes/mod.ts";
type Asteroid = Static<typeof Asteroid>;
which achieves the same result as
type Asteroid = {
type: "asteroid";
location: [number, number, number];
mass: number;
};
In addition to providing a check
method, runtypes can be used as
type guards:
function disembark(obj: {}) {
if (SpaceObject.guard(obj)) {
// obj: SpaceObject
if (obj.type === "ship") {
// obj: Ship
obj.crew = [];
}
}
}
The Union
runtype offers the ability to do type-safe, exhaustive case analysis
across its variants using the match
method:
const isHabitable = SpaceObject.match(
(asteroid) => false,
(planet) => planet.habitable,
(ship) => true,
);
if (isHabitable(spaceObject)) {
// ...
}
There's also a top-level match
function which allows testing an ad-hoc
sequence of runtypes. You should use it along with when
helper function to
enable type inference of the parameters of the case functions:
const makeANumber = match(
when(Number, (n) => n * 3),
when(Boolean, (b) => (b ? 1 : 0)),
when(String, (s) => s.length),
);
makeANumber(9); // = 27
To allow the function to be applied to anything and then handle match failures,
simply use an Unknown
case at the end:
const makeANumber = match(
when(Number, (n) => n * 3),
when(Boolean, (b) => (b ? 1 : 0)),
when(String, (s) => s.length),
when(Unknown, () => 42),
);
Beyond mere type checking, we can add arbitrary runtime constraints to a
Runtype
:
const Positive = Number.withConstraint((n) => n > 0);
Positive.check(-3); // Throws error: Failed constraint check
You can provide more descriptive error messages for failed constraints by
returning a string instead of false
:
const Positive = Number.withConstraint((n) => n > 0 || `${n} is not positive`);
Positive.check(-3); // Throws error: -3 is not positive
You can set a custom name for your runtype, which will be used in default error
messages and reflection, by using the name
prop on the optional options
parameter:
const C = Number.withConstraint((n) => n > 0, { name: "PositiveNumber" });
To change the type, there are two ways to do it: passing a type guard function
to a new Runtype.withGuard()
method, or using the familiar
Runtype.withConstraint()
method. (Both methods also accept an options
parameter to optionally set the name.)
Using a type guard function is the easiest option to change the static type, because TS will infer the desired type from the return type of the guard function.
// use Buffer.isBuffer, which is typed as: isBuffer(obj: any): obj is Buffer;
const B = Unknown.withGuard(Buffer.isBuffer);
type T = Static<typeof B>; // T is Buffer
However, if you want to return a custom error message from your constraint
function, you can't do this with a type guard because these functions can only
return boolean values. Instead, you can roll your own constraint function and
use the withConstraint<T>()
method. Remember to specify the type parameter for
the Constraint
because it can't be inferred from your check function!
const check = (o: any) => Buffer.isBuffer(o) || "Dude, not a Buffer!";
const B = Unknown.withConstraint<Buffer>(check);
type T = Static<typeof B>; // T will have type of `Buffer`
One important choice when changing Constraint
static types is choosing the
correct underlying type. The implementation of Constraint
will validate the
underlying type before running your constraint function. So it's important to
use a lowest-common-denominator type that will pass validation for all expected
inputs of your constraint function or type guard. If there's no obvious
lowest-common-denominator type, you can always use Unknown
as the underlying
type, as shown in the Buffer
examples above.
Speaking of base types, if you're using a type guard function and your base type
is Unknown
, then there's a convenience runtype Guard
available, which is a
shorthand for Unknown.withGuard
.
// use Buffer.isBuffer, which is typed as: isBuffer(obj: any): obj is Buffer;
const B = Guard(Buffer.isBuffer);
type T = Static<typeof B>; // T will have type of `Buffer`
The Template
runtype validates that a value is a string that conforms to the
template.
You can use the familiar syntax to create a Template
runtype:
const T = Template`foo${Literal("bar")}baz`;
But then the type inference won't work:
type T = Static<typeof T>; // inferred as string
Because TS doesn't provide the exact string literal type information
(["foo", "baz"]
in this case) to the underlying function. See the issue
microsoft/TypeScript#33304,
especially this comment
microsoft/TypeScript#33304 (comment)
we hope to be implemented.
If you want the type inference rather than the tagged syntax, you have to manually write a function call:
const T = Template(["foo", "baz"] as const, Literal("bar"));
type T = Static<typeof T>; // inferred as "foobarbaz"
As a convenient solution for this, it also supports another style of passing arguments:
const T = Template("foo", Literal("bar"), "baz");
type T = Static<typeof T>; // inferred as "foobarbaz"
You can pass various things to the Template
constructor, as long as they are
assignable to string | number | bigint | boolean | null | undefined
and the
corresponding Runtype
s:
// Equivalent runtypes
Template(Literal("42"));
Template(42);
Template(Template("42"));
Template(4, "2");
Template(Literal(4), "2");
Template(String.withConstraint((s) => s === "42"));
Template(
Intersect(
Number.withConstraint((n) => n === 42),
String.withConstraint((s) => s.length === 2),
// `Number`s in `Template` accept alternative representations like `"0x2A"`,
// thus we have to constraint the length of string, to accept only `"42"`
),
);
Trivial items such as bare literals, Literal
s, and single-element Union
s and
Intersect
s are all coerced into strings at the creation time of the runtype.
Additionally, Union
s of such runtypes are converted into RegExp
patterns
like (?:foo|bar|...)
, so we can assume Union
of Literal
s is a fully
supported runtype in Template
.
A Template
internally constructs a RegExp
to parse strings. This can lead to
a problem if it contains multiple non-literal runtypes:
const UpperCaseString = Constraint(String, (s) => s === s.toUpperCase(), {
name: "UpperCaseString",
});
const LowerCaseString = Constraint(String, (s) => s === s.toLowerCase(), {
name: "LowerCaseString",
});
Template(UpperCaseString, LowerCaseString);
The only thing we can do for parsing such strings correctly is brute-forcing
every single possible combination until it fulfills all the constraints, which
must be hardly done. Actually Template
treats String
runtypes as the
simplest RegExp
pattern .*
and the “greedy” strategy is always used, that
is, the above runtype won't work expectedly because the entire pattern is just
^(.*)(.*)$
and the first .*
always wins. You have to avoid using
Constraint
this way, and instead manually parse it using a single Constraint
which covers the entire string.
Runtypes along with constraint checking are a natural fit for enforcing function
contracts. You can construct a contract from Runtype
s for the parameters and
return type of the function:
const divide = Contract(
// Parameters:
Number,
Number.withConstraint((n) => n !== 0 || "division by zero"),
// Return type:
Number,
).enforce((n, m) => n / m);
divide(10, 2); // 5
divide(10, 0); // Throws error: division by zero
Branded types is a way to emphasize the uniqueness of a type. This is useful until we have nominal types:
const Username = String.withBrand("Username");
const Password = String.withBrand("Password").withConstraint(
(str) => str.length >= 8 || "Too short password",
);
const signIn = Contract(Username, Password, Unknown).enforce(
(username, password) => {
/*...*/
},
);
const username = Username.check("[email protected]");
const password = Password.check("12345678");
// Static type OK, runtime OK
signIn(username, password);
// Static type ERROR, runtime OK
signIn(password, username);
// Static type ERROR, runtime OK
signIn("[email protected]", "12345678");
Branded types are like opaque types and work as expected, except it is impossible to use as a key of an object type:
const StringBranded = String.withBrand("StringBranded");
type StringBranded = Static<typeof StringBranded>;
// Then the type `StringBranded` is computed as:
// string & { [RuntypeName]: "StringBranded" }
// TS1023: An index signature parameter type must be either `string` or `number`.
type SomeObject1 = { [K: StringBranded]: number };
// Both of these result in empty object type i.e. `{}`
type SomeObject2 = { [K in StringBranded]: number };
type SomeObject3 = Record<StringBranded, number>;
// You can do like this, but...
const key = StringBranded.check("key");
const SomeRecord = Record({ [key]: Number });
// This type results in { [x: string]: number }
type SomeRecord = Static<typeof SomeRecord>;
// So you have to use `Map` to achieve strongly-typed branded keys
type SomeMap = Map<StringBranded, number>;
Runtypes can be used to represent a variable that may be undefined.
// For variables that might be `string | undefined`
Union(String, Undefined);
String.Or(Undefined); // shorthand syntax for the above
Optional(String); // equivalent to the above two basically
String.optional(); // shorthand syntax for the above
The last syntax is not any shorter than writing Optional(String)
when you
import Optional
directly from runtypes
, but if you use scoped import i.e.
import * as rt from 'runtypes'
, it would look better to write
rt.String.optional()
rather than rt.Optional(rt.String)
.
If a Record
may or may not have some properties, we can declare the optional
properties using Record({ x: Optional(String) })
(or formerly
Partial({ x: String })
). Optional properties validate successfully if they are
absent or undefined
or the type specified.
// Using `Ship` from above
const RegisteredShip = Ship.And(
Record({
// All registered ships must have this flag
isRegistered: Literal(true),
// We may or may not know the ship's classification
shipClass: Optional(Union(Literal("military"), Literal("civilian"))),
// We may not know the ship's rank (so we allow it to be undefined via `Optional`),
// we may also know that a civilian ship doesn't have a rank (e.g. null)
rank: Optional(Rank.Or(Null)),
}),
);
There's a difference between Union(String, Undefined)
and Optional(String)
iff they are used within a Record
; the former means "it must be present,
and must be string
or undefined
", while the latter means "it can be
present or missing, but must be string
or undefined
if present".
Prior to v5.2, Union(..., Undefined)
in a Record
was passing even if the
property was missing. Although some users considered this behavior was a
bug especially for the sake of
mirroring TS behavior, it was a long-standing thing, and some other users have
been surprised with this fix. So the v5.2 release has been marked
deprecated on npm, due to the
breaking change.
Note that null
is a quite different thing than undefined
in JS and TS, so
Optional
doesn't take care of it. If your Record
has properties which can be
null
, then use the Null
runtype explicitly.
const MilitaryShip = Ship.And(
Record({
shipClass: Literal("military"),
// Must NOT be undefined, but can be null
lastDeployedTimestamp: Number.Or(Null),
}),
);
You can save an import by using nullable
shorthand instead. All three below
are equivalent things.
Union(Number, Null);
Number.Or(Null);
Number.nullable();
Array and Record runtypes have a special function .asReadonly()
, that creates
a new runtype where the values are readonly.
For example:
const Asteroid = Record({
type: Literal("asteroid"),
location: Vector,
mass: Number,
}).asReadonly();
type Asteroid = Static<typeof Asteroid>;
// { readonly type: 'asteroid', readonly location: Vector, readonly mass: number }
const AsteroidArray = Array(Asteroid).asReadonly();
type AsteroidArray = Static<typeof AsteroidArray>;
// ReadonlyArray<Asteroid>
Record
runtype has the methods .pick()
and .omit()
, which will return a
new Record
with or without specified fields (see Example section
for detailed definition of Rank
and Planet
):
const CrewMember = Record({
name: String,
age: Number,
rank: Rank,
home: Planet,
});
const Visitor = CrewMember.pick("name", "home");
type Visitor = Static<typeof Visitor>; // { name: string; home: Planet; }
const Background = CrewMember.omit("name");
type Background = Static<typeof Background>; // { age: number; rank: Rank; home: Planet; }
Also you can use .extend()
to get a new Record
with extended fields:
const PetMember = CrewMember.extend({
species: String,
});
type PetMember = Static<typeof PetMember>;
// { name: string; age: number; rank: Rank; home: Planet; species: string; }
It is capable of reporting compile-time errors if any field is not assignable to
the base runtype. You can suppress this error by using @ts-ignore
directive or
.omit()
before, and then you'll get an incompatible version from the base
Record
.
const WrongMember = CrewMember.extend({
rank: Literal("wrong"),
// Type '"wrong"' is not assignable to type '"captain" | "first mate" | "officer" | "ensign"'.
});
- generate-runtypes Generates runtypes from structured data. Useful for code generators
- json-to-runtypes Generates runtypes by parsing example JSON data
- rest.ts Allows building type safe and runtime-checked APIs
- runtypes-generate Generates
random data by
Runtype
for property-based testing - runtyping Generate runtypes from static types & JSON schema