go-helpers
io-ts
go-helpers | io-ts | |
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1 | 80 | |
5 | 6,604 | |
- | - | |
5.6 | 4.9 | |
8 months ago | 5 months ago | |
Go | TypeScript | |
GNU General Public License v3.0 or later | MIT License |
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go-helpers
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JSON Schema bundling finally formalised
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The "IsInteger" validator can of course be interpreted as a type, the important thing is though that it can be customized using type parameters and that we can add any number of additional validators that do advanced things (e.g. we could define an "IsPrime" validator that checks for primality of the number).
I find this more elegant than having both a "type" field and various extensions for validations that you need to remember. The validator list mechanism also makes it easy to chain validations and perform sub-validations for lists or maps. I have an open-source implementation of this written in Golang [1] that I use in all my projects. It enables me to write a form specification and a Go struct and validate as well as coerce unstructured data into the struct. It makes it very easy to validate complex, hierarchical documents like configuration files as well, is easy to extend and provides nice errors.
1: https://github.com/kiprotect/go-helpers/tree/master/forms
io-ts
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TDD
Qué rico. Si tenés chance meté un proceso de code review fuerte, y para el tema de I/O probá a usar https://github.com/Effect-TS/schema ó https://github.com/gcanti/io-ts que les da una solución obvia al tema de "tipos para lo que devuelva el backend", aunque es en realidad mucho más capaz que eso.
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Domain modelling with State Machines and TypeScript by Carlton Upperdine
My fave is still io-ts (https://github.com/gcanti/io-ts/blob/master/docs/index.md) as I find it more flexible than zod at the ingress. The author is also working on the Effect ecosystem which also looks interesting.
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Why I Like Using Maps (and WeakMaps) for Handling DOM Nodes
I’ve been using io-ts for this and been very happy with it. [1] It’s similar to Swift’s Coding protocol in case you’re familiar.
[1] https://gcanti.github.io/io-ts/
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Can someone recommend a library for data parsing similar to Zod, but with better support for input transformations/preprocessing?
Yeah, there are a few new concepts and it's not the easiest to pick up right away. The best introduction is here on the main documentation page.
- libraries you are happy that you discovered them
- Is React for small projects an Overkill?
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how to strictly type this?
We use https://github.com/gcanti/io-ts/blob/master/Decoder.md which has a very similar interface. It can even be used to mutate the data using https://github.com/gcanti/io-ts/blob/master/Decoder.md#the-parse-combinator.
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Typescript advanced bits: function overloading, never and unknown types
A good way to significantly improve the reliability of your app is via improving type-safety by moving away from using any to unknown. One relevant example could be when you type your backend responses and when stringifying JSON to using unknown combined with some sort of runtime type checking. It can be done either by using built-in functionality like type guards or using an external library like io-ts, zod or yup.
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I found 10,000x faster TypeScript validator library
Usage of TypeBox is similar with io-ts and zod, but it is much powerful and faster than them. Also, TypeBox can generate JSON schema very easily. Therefore, if you're looking for a validator library for new project and not suffering from legacy codes, I think TypeBox would be much better choice than io-ts and zod. TypeBox can totally replace them.
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Validate your data with Zod
This check can be done with different libraries like: io-ts, typebox, or zod. These libraries allow you to create objects that represent your typescript definitions. Then, these objects can be used at runtime to validate the received data, in addition, you can also convert this object to a Typescript definition to have all the benefits of using typescript. These objects can be called schema validations because they are responsible for the data validation.
What are some alternatives?
myzod
zod - TypeScript-first schema validation with static type inference
ajv - The fastest JSON schema Validator. Supports JSON Schema draft-04/06/07/2019-09/2020-12 and JSON Type Definition (RFC8927)
class-validator - Decorator-based property validation for classes.
schema-org-json-schemas - Generate JSON Schemas from Schema.org classes
openapi-generator - OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
runtypes - Runtime validation for static types
fp-ts - Functional programming in TypeScript
typescript-json-schema - Generate json-schema from your Typescript sources
joi - The most powerful data validation library for JS [Moved to: https://github.com/hapijs/joi]