A small library for testing your types.
Features:
- Prevent false negatives and silent regressions;
- Organise you tests and declutter your namespace.
- Compare types and values with the same API;
npm install --save-dev ts-spec
Write your tests:
import { test } from 'ts-spec';
test('test description', t =>
t.equal ([1, 2, 3]) <string[]>()
);
See them fail in your IDE:
Or run them with tsc
:
tests/your-test-file.ts:4:5 - error TS2322:
Type 'FailingTest<"test description", number[], string[]>'
is not assignable to type 'PassingTest'
t.equal ([1, 2, 3], <string[]>_)
~~~~~~~~~~~~~~~~~~~~~~~
Found 1 error.
The only way to expect a type error is with the directive @ts-expect-error
.
Test descriptions must appear on the same line as the directive for them to show up in the report:
// @ts-expect-error: `foo` does not accept strings
{ const test = foo('bar') }
tests/your-test-file.ts:3:1 - error TS2578: Unused '@ts-expect-error' directive.
// @ts-expect-error: `foo` does not accept strings
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Note that they won't appear in VS Code's Problems view
The downside of expecting errors is that they can have other reasons to occur than the one stated in the description. For example, it could be that foo
actually accepts strings but is not in scope.
Writing tests | Assertions | Equality
The function test
is composed of a test description and a callback.
The callback can return one or multiple assertions, which can be wrapped in arbitrary ways in tuples, promises, functions or nested tests, enabling all kinds of patterns and test hierarchies.
test('test description', t =>
t.pass()
);
Implicitly returning a tuple of assertions conveniently reports failures where they occur:
test('test description', t => [
t.pass(),
t.fail()
// ~~~~~~~ pretty convenient
]);
Explicit returns enable sharing local variables, but they report failures at the callback level and print noisier error messages, unless you force
type checking to happen sooner:
test('test description', t => {
const foo = 42;
return t.force([
// ---------
t.pass(),
t.fail()
// ~~~~~~~ still good
])
});
This pattern can be useful for testing type narrowing with only little boilerplate:
test('`isArray` type guard narrows its input', t =>
(input: number[] | number) =>
Array.isArray(input)
&& t.equal(input)<number[]>()
);
It also makes unresolved generics accessible for testing:
test('`Filter` returns useful type when input is generic', t =>
<T extends (number | string)[]>() =>
t.equal<Filter<T, number>, number[]>()
)
And of course it allows to scope variables:
test('`bar` returns true', t => [
() => {
const foo = 42;
return t.true(bar(foo))
},
() => {
const foo = 2001;
return t.true(bar(foo))
}
]);
Tests can be nested in order to reduce repetition in test titles:
test('Given Foo', t =>
// titles are accumulated by wrapping the current title with the parent `t`
test(t('When Bar'), t =>
// -------------
test(t('Then A'), t => t.fail()),
// ----------- ~~~~~~~~
// 'FailingTest<"Given Foo ❱ When Bar ❱ Then A", never, true>'
// is not assignable to type 'PassingTest'
)
)
Nested tests are also a good option for sharing local variables because failures are reported by test leaves and don't bubble up:
test('Given `foo` is 42', t => {
const foo = 42;
return [
test(t('Something is true'), t =>
t.true(bar(foo))
),
test(t('Something else'), t =>
t.fail()
// ~~~~~~~ still good
)
]
});
The library supports the following assertions
t.assertion() |
t.not.assertion() |
|
---|---|---|
equal A B |
|
|
extends A B |
|
|
includes A B |
|
|
any T | T is strictly any
| T is strictly not any
|
unknown T | T is strictly unknown
| T is strictly not unknown
|
never T | T is strictly never
| T is strictly not never
|
true T | T is strictly true
| T is strictly not true
|
false T | T is strictly false
| T is strictly not false
|
They are made available as an argument in test
's callback.
They can be called in different ways depending on whether you test values (a
) or types (A
)
and whether you prefer the placeholder or the curried syntax:
You can leverage currying to create your own assertions:
test('Bar and Baz are Foo', t => {
const isFoo = t.equal<Foo>();
return [
isFoo<Bar>(),
isFoo<Baz>()
];
})
If you want to share a custom assertion across tests, you must bring Context
into scope and connect it like so:
import { Context } from 'ts-spec';
const isFoo = <D>(t: Context<D>) => t.equal<Foo>();
Then, on the call site, apply the assertion with the context object before use:
test('Bar is Foo', t =>
isFoo(t)<Bar>()
)
Tests can fail for 2 reasons:
- The condition of the assertion did not hold;
any
,never
orunknown
accidentally appeared in your type.
A process of disambiguation converts any
, never
and unknown
to unique symbols. The resulting behaviour is what you would expect from strict equality:
test('`any` is equal to itself', t =>
t.equal<{ foo: Set<any> }, { foo: Set<any> }>()
)
test('`any` is not equal to `number`', t =>
t.equal<{ foo: Set<any> }, { foo: Set<number> }>()
// ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ FailingTest
)
Assertions are set up with the assumption that the type under test should always be the narrowest of the two operands, the other one is thus not disambiguated in order to enable loose tests to be written:
test('It is possible to extend `any`', t => [
t.extends<number[], any[]>()
t.includes<any[], number[]>()
])
test('But the reverse is likely a mistake', t => [
t.extends<any[], number[]>()
// ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ FailingTest
t.includes<number[], any[]>()
// ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ FailingTest
])
You can refer to the assertions table for a synthetic view of the differences between assertions.
If you want the type under test to include any
, never
or unknown
in an asymmetric assertion, you can import the placeholders _any
, _never
and _unknown
:
import { _never } from 'ts-spec'
test('use `_never` to extend `never`', t => [
t.extends<[1, 2, never], [number, number, _never]>(),
])
Disambiguation works out of the box for arbitrarily nested built-in types. However, user classes need to be registered for them to be disambiguated:
import { test } from 'ts-spec'
import { Type, A } from 'free-types'
// The class we want to test
class Foo<T extends number> {
constructor(private value: T) { ... }
}
// A free type constructor for that class
interface $Foo extends Type<[number]> { type: Foo<A<this>> }
// which we register into ts-spec.TypesMap
declare module 'ts-spec' {
interface TypesMap { Foo: $Foo }
}
// Now we are safe
test('Registered user classes are disambiguated', t =>
t.equal<Foo<any>, Foo<number>>()
// ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ FailingTest
)
The
TypesMap
repository is shared with thefree-types
library, which meansdeclare module 'free-types'
would also work.
See the free-types documentation for more information about free type constructors.