1.0.6 • Published 1 year ago

@santa--trout/js-type-checking v1.0.6

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Last release
1 year ago

js-type-checking

Problem

When dealing with JSON data coming from fetch or files, we often end up with code as such (implementation details and error handling left out for brevity):

async function getPerson(): Promise<Person> {
  return await (await fetch(...)).json();
}

type Address = {
  street: string,
  houseNumber: number
};

type Person = {
  firstName: string,
  lastName: string,
  middleName?: string,
  addresses: Address[]
};

Since the JSON we receive is actually never checked during the runtime of the program, we can end up with errors being thrown in parts of the program far removed from the actual source of the issue. For example, we access addresses and call map on it in a React component, which will raise an error since that key was actually missing in the JSON we received. When we debug this problem, we would have no direct link to where the issue originated from, namely a faulty assumption about what we receive from a specific endpoint. Only experience tells us, that that's often the source of that kind of issue. We can move the detection of problems closer to the source, by checking the actual result, with code as such:

async function getPerson() { // : Promise<Person> inferred from now on
  const result = await (await fetch(...)).json();
  if (isPerson(result)) return result;
  throw new Error();
}

function isAddress(value: unknown): value is Address {
  if (typeof value !== "object" || value == null) return false;

  if (!("street" in value) || typeof value.street !== "string")
    return false;

  if (!("houseNumber" in value) || typeof value.houseNumber !== "number")
    return false;

  return true;
}

function isPerson(value: unknown): value is Person {
  if (typeof value !== "object" || value == null) return false;

  if (!("firstName" in value) || typeof value.firstName !== "string")
    return false;

  if (!("lastName" in value) || typeof value.lastName !== "string")
    return false;

  if ("middleName" in value && typeof value.middleName !== "string")
    return false;

  if (!("addresses" in value) || !Array.isArray(value.addresses))
    return false;

  if (!value.addresses.every(isAddress))
    return false;

  return true;
}

type Address = {
  street: string,
  houseNumber: number
};

type Person = {
  firstName: string,
  lastName: string,
  middleName?: string,
  addresses: Address[]
};

With this, we immediatelly known, if we receive data that didn't meet our expectations. The error thrown directly points to the getPerson function. The problem with this approach is, that we now have to encode our expectations twice. Once with type Person and the other time with isPerson. Even worse, those definitions can drift apart or not match up at all with inaccurate implementations of isPerson. Let's try to resolve this issue with the next approach:

async function getPerson() {
  return personOrThrow(await (await fetch(...)).json());
}

function addressOrThrow(value: unknown) {
  if (typeof value !== "object" || value == null) throw new TypeError();

  if (!("street" in value) || typeof value.street !== "string")
    throw new TypeError();

  if (!("houseNumber" in value) || typeof value.houseNumber !== "number")
    throw new TypeError();

  return value;
}

function addressOrThrowTG(value: unknown): value is Address {
  addressOrThrow(value);
  return true;
}

function personOrThrow(value: unknown) {
  if (typeof value !== "object" || value == null) throw new TypeError();

  if (!("firstName" in value) || typeof value.firstName !== "string")
    throw new TypeError();

  if (!("lastName" in value) || typeof value.lastName !== "string")
    throw new TypeError();

  if ("middleName" in value && typeof value.middleName !== "string")
    throw new TypeError();

  if (!("addresses" in value) || !Array.isArray(value.addresses))
    throw new TypeError();

  if (!value.addresses.every(addressOrThrowTG))
    throw new TypeError();

  return value;
}

type Address = ReturnType<typeof addressOrThrow>;

type Person = ReturnType<typeof personOrThrow>;

Here we derive the type Person from the actual code, which results in a single source of truth. When we change personOrThrow, the type changes along automatically. There is a problem though. The resulting Person type lost details. Even with recent TypeScript versions (4.9.0), a line such as if (!("lastName" in value) || typeof value.lastName !== "string") return false; would only resolve the type of value to object & Record<"lastName", unknown> instead of object & Record<"lastName", string>. TypeScript resolves Person to object & Record<"firstName", unknown> & Record<"lastName", unknown> & Record<"addresses", unknown>. Interestingly enough, TypeScript (4.9.0) resolves all types within personOrThrow correctly. Inside the function, there is no loss of precision. Somehow that same precision isn't yet applied to the return type.

Solution

This library implements TypeScript type guards, but with narrower type inference. With these, we can implement our checks as such:

import * as T from "./type-checking.js";

async function getPerson() {
  return personOrThrow(await (await fetch(...)).json());
}

function addressOrThrow(value: unknown) {
  T.assert(value, T.hasKey("street", T.isString));
  T.assert(value, T.hasKey("houseNumber", T.isNumber));
  return value;
}

function personOrThrow(v: unknown) {
  T.assert(v, T.hasKey("firstName", T.isString));
  T.assert(v, T.hasKey("lastName", T.isString));
  T.assert(v, T.hasOptionalKey("middleName", T.isString));
  T.assert(v, T.hasKey("addresses", T.isArray(T.throwing(addressOrThrow))));
  return v;
}

type Address = ReturnType<typeof addressOrThrow>;

type Person = ReturnType<typeof personOrThrow>;

The central concept are type guards. Many of the functions in the library can take type guards and return type guards. TC.hasKey("firstName", TC.isString) for example returns a type guard function, checking whether some value supplied to it has a key firstName which is of type string. TC.throwing takes a function that throws and returns a type guard, without catching, to preserve accurate errors. Such a design makes the library much more composable. The main feature is, that it preserves accurate inferred types. Here Person is inferred as Record<"firstName", string> & Record<"lastName", string> & Partial<Record<"middleName", string>> & Record<"addresses", Address[]>.

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