[hellcow]

This is my biggest issue with the language.

Fetch returns “any” meaning you can’t trust the data you received is actually the data you expected. Bugs from this mismatch will be many lines away (on first use) and more difficult to find. Because of this “goal of the language” you cited, there’s no built-in way to validate any data at runtime. In nearly any other typed language I have some deserialization mechanism. Not so in Typescript!

This decision led to more bugs in our codebase than any other. The compiler actively lies to you about the types you’ll have at runtime. The only solutions are codegen or writing validators to poorly approximate what Typescript should give us for free.

[__ryan__]

Yes, “any” is a wart. And it’s a bad one.

The correct type for values you don’t know the type of (like the response of an API call) is “unknown”.

TypeScript does not provide the facilities you describe because there is not a one-size-fits-all solution to the cases that are possible and common in JavaScript.

It is left to the developer to decide how to validate unknown data at the boundaries of the API.

There are third party libraries that facilitate this in different ways with different trade-offs.

  The compiler actively lies to you about the types you’ll have at runtime.

I find this to be rare if you are using strict mode with proper TypeScript definition files for your platform and dependencies. Usually the lie is in your own code or bad dependencies when an “unknown” type (including “any”) is cast to a concrete type without being validated.

  In nearly any other typed language I have some deserialization mechanism.

Could you provide examples? I either don’t understand or I disagree.

[consilient]

> Usually the lie is in your own code or bad dependencies when an “unknown” type (including “any”) is cast to a concrete type without being validated.

Yes, but one of those bad dependencies is the standard library.

[__ryan__]

When does the standard library lie in this case?

[consilient]

Things are `any` when they should be `unknown` or generic, mostly. Off the top of my head:

- `JSON.parse` and `.json()` on response bodies both return `any`.

- `JSON.stringify`'s `replacer` argument is of type `(key: any, string: any) => any`.

- `PromiseRejectedResult["reason"]` is `any`.

There are certainly many others.

[hellcow]

> Usually the lie is in your own code or bad dependencies

The lie is almost always in an external API response from fetch (hence the complaint about “any” above).

> Could you provide examples?

Off the top of my head… Go’s stdlib json.Unmarshal and Rust’s Serde derive Deserialize.

[__ryan__]

The lie is when your code uses* the “any” value where a concrete type is expected.

I was misunderstanding your point with the deserialize.

Edit: “using” -> “uses”

[mirekrusin]

This can't be solved by static analysis - anything that crosses i/o boundary has to be asserted, refuted or predicated at runtime and you have libraries for it ie. [0] which doesn't throw (based on refutations which can be mapped to predicates without much cost and assertions) or [1] which throws (based on assertions).

Predicates are the most performant but won't give you any indication on why it failed (ie. some nested field was null but was expected to be number etc).

Refutations is great sweet spot as it's fast while giving information about error.

Assertions are slow, but more often than not you don't care.

You can map between any of them, but it doesn't make much sense for mapping ie. assertion to predicate as you'd be paying cost for nested try/catch while dropping error information.

Refutation is great base for all 3.

[0] https://github.com/preludejs/refute

[1] https://github.com/appliedblockchain/assert-combinators

[hellcow]

The complaint is that Typescript not emitting any of the type information for the runtime means every library must reimplement the whole TS type system.

[mirekrusin]

Yes, that's true, they could support emitting metadata with explicit keyword which would help and wouldn't bloat anything implicitly, they already do emit code for enums for example.

Personally I'm fan of not introducing new language that runs at comp time, just use the same language to have macros and operations on types for free - just like Zig does it.

Typescript type system is already turing complete so it's not like they'd be loosing anything there.

[kristiandupont]

You might like TS Reset: https://github.com/total-typescript/ts-reset, which fixes this particular problem. I don't personally find it to be a big issue though.

Regarding runtime type checking, if you were to write something that can handle the total space of possible TS types, you would end up with incredibly complex machinery. It would be hard to make it perform, both in terms of speed and bundle size, and it would be hard to predict. I think Zod or perhaps https://arktype.io/ which target a reasonable subset are the only way to go.

[DangitBobby]

This was driving me nuts in a project with lots of backend churn. Runtime type validation libraries like typebox and zod (I like typebox) can really save your bacon.

The downside is the underlying types tend to be more complex when viewed in your IDE, but I think it's worth it.

[eyelidlessness]

Here’s a neat trick for those complex types:

  type Identity<T> = T

  // This can be made recursive to an extent, alas I’m on mobile
  type Merge<T> = {
    [K in keyof T]: Identity<T[K]>
  }

  type ReadableFoo = Merge<UnreadableFoo>

[mnahkies]

You should take a look at https://zod.dev/ if you haven't already - it's a library for runtime parsing that works really well for your use case.

Types are inferred from the schema though personally I like to handwrite types as well to sense check that the schema describes the type I think it does

[hellcow]

I’ve used zod and every other schema validator available for this. Some problems:

1. Types are not written in typescript anymore. Or you have to define them twice and manually ensure they match. ReturnType<typeof MyType> pollutes the codebase.

2. Types have to be defined in order, since they’re now consts. If you have a lot of types which embed other types, good luck determining that order by hand.

3. Recursive types need to be treated specially because a const variable can’t reference itself without some lazy evaluation mechanism.

TS could solve all of this by baking this into the language.

[jamescostian]

1. You can just use `export type Foo = z.infer<typeof fooParser>` in one place and then import Foo everywhere else, without using z.infer everywhere else

2. Use let and modify your types as new ones become available - union them with a new object that contains the new property you need

3. How often are you making recursive types?

I agree that all of this could be made easier, but zod is the best we have and great for most normal usage. The reason TS doesn't want to make this available at runtime is that it means so many changes they make will become breaking changes. Perhaps one day when there's less development on TS we'll see this get added

[IggleSniggle]

Including runtime checks would also have performance implications.

I really enjoyed using myzod (more performative, simple, zod) for awhile, but recently I’ve been using Typia, which is a codegen approach. I have mixed feelings about it, and from my own benchmarking it’s performance seems overstated, but the idea is sound: because we know the type, we can compile better, type-optimized serialize/deserialize functions.

As for not littering the codebase with runtime checks, it may be worth reiterating to the person above that you really should only do type determinations at the I/O edges: you parse your input, and it becomes known from then onwards. You runtime type-check your output, and its requirements propagate upwards through your program.

[Dylan16807]

There aren't really "performance implications" for making an impossible thing possible.

The ability to emit a parser/verifier would not require any other runtime or affect the speed of any other code.

[IggleSniggle]

Pragmatically, your interest is why I was mentioning typia, which does what you are describing: opt-in parser/stringify/mock-gen codegen derived from typescript.

I think it’s reasonable enough to allow other people to focus on runtime behavior. There’s still a lot to do to model js accurately.

In my personal opinion, the ideal ts would be one where you just write regular js, and the compiler is able to check all of it for correctness implicitly. That would require runtime validators etc to be explicitly written, yes, but you could “just write js” and the correctness of your program could be proven (with guidance to make it more provably correct when it is not yet).

[andrewaylett]

It's also possible -- for specific cases, probably not generally -- define your schema object as const and use type manipulation to generate "real" types automagically. Toy example here: https://github.com/andrewaylett/aylett.co.uk/blob/3fffae1bab...

This lets me run my inputs through a schema validator, and ensure that the type I'm using statically will match the schema used at runtime.

[madeofpalk]

The TS devs have mentioned that they wish JSON.parse returned unknown, but the change is too disruptive now.

[iainmerrick]

It would be a lot nicer if it instead returned some JsonType that’s a union of all the possible JSON values. Anyone know if there’s a good reason why it doesn’t do that?

[striking]

You can pass an arbitrary rehydration function, which can return non-JSON-representable types

[Dylan16807]

It could look at the return type of your reviver function, or at least whether you passed one in.

[kristiandupont]

There's a big discussion about this: https://github.com/microsoft/TypeScript/issues/1897. The benefit seems extremely limited to me. Valid JSON is obviously a subset of `any`, but I can't think of a situation where that particular specificity provides any value. Can you?

[iainmerrick]

The value is when you’re parsing the JSON afterwards. It’s good to know you can match it exhaustively -- each value is either a Record<string, Json>, Json[], string, number, Boolean or null, and nothing else.

Edit to add: I think “any” is almost always a big cop-out because you couldn’t be bothered figuring out the correct type, and it often causes problems (loss of type coverage) further down the line. I admit I do use “any” in my own code when I really need to, but a library should work harder to avoid it, and the standard platform typings should work harder still.

[madeofpalk]

That's effectively what unknown would be - at least the outcome would mostly be the same. You'll end up narrowing values in just the same way.

[rcfox]

What are the common operations you can perform on that union?

[consilient]

You can narrow it exhaustively.