Question 1

How to validate an email address with computed-types?

Accepted Answer

You need to create a custom validator using an external library like 'email-validator' or regex, as shown in the README's Email function example. This involves defining a function that throws on invalid input and optionally using .transform() for chaining.

Question 2

computed-types vs zod: which should I use?

Accepted Answer

Computed Types excels in TypeScript integration and zero dependencies, ideal for custom validation logic. Zod offers more built-in validations and a larger ecosystem. Choose computed-types for tight type safety in pure TypeScript projects.

Question 3

How to handle optional fields in computed-types?

Accepted Answer

Use the .optional() or .strictOptional() methods on validators, as demonstrated in schema examples like address: string.trim().optional(). This allows undefined or null values while maintaining type safety.

Question 4

Does computed-types support async validation for API calls?

Accepted Answer

Yes, it automatically supports asynchronous validators by returning promises, as shown with the AvailableUsername example that fetches data from an API. The library handles promise resolution and type inference.

Question 5

Is computed-types good for validating nested objects?

Accepted Answer

Yes, you can create nested schemas using the Schema function with objects and arrays, like in the UserSchema example with items array containing object validation. It supports deep validation and transformation.

Question 6

How to create custom validators with computed-types?

Accepted Answer

Define a function that takes input and returns a value or throws an error, as shown with the Email validator. Use .transform() for chaining, and ensure optional arguments for optional types, per the README's custom type section.

computed_types

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