class-validator VS Paste JSON as Code • quicktype

You can learn more from the documentation here.

This is the request body when creating a new task. The IsString decorator provided by class-validator rejects all types other than strings, including undefined or null. The task name value object does not consider the possibility of values other than strings.

In this class, we are using the famous class-validator to decorate our request parameters. This way it is more clear how we are going to use our request object and everything.

We add validation using https://github.com/typestack/class-validator.

I will make sure we get this documented.

Also OP can check out class-transformer + class-validator if he want to properly instantiate objects and validate them with precise and verbose output of potential format errors. OP can even go the god tier way by setting up a custom RxJS operator that does that for him easily.

Start by installing the class-transformer and class-validator packages for dto validation (see more in the docs), sharp for image optimization, and the S3 client packages.

The description of the request body model in NestJS is similar to the description of Ditsmod models, but NestJS uses decorators provided by the utility class-validator. In NestJS, it is customary to name the request body model with the ending *Dto (this is an abbreviation of Data transfer object):

You could use Zod or Superstruct to validate the types of values, or use typestack/class-validator if it makes sense.

Also, title of before article was I made 1,000x faster TypeScript validator library, but today's benchmark is showing that typescript-json is maximum 6,500x times faster. It's just because I added a new library class-validator in the benchmark and it is much slower than previous zod. Of course, I've continuously tuned the performance, but it just improved the performance about 2x times only.

Quicktype automates the generation of code from JSON data. It's a real timesaver when dealing with complex JSON structures in your applications.

Nice! JSON schemas are really useful, we use them a lot for code generation. Another library that does this for multiple languages is https://quicktype.io/ . It's great, but not so actively developed.

Quicktype is a speedy way to transform JSON data into well-structured, type-safe code in any programming language. Can help simplify the process of generating models and serializers from JSON, schema, or GraphQL—for secure, efficient data handling. 6-20PM finds it a "Godsend to convert JSON into data structures in any language."

Good candidate modules for these initial conversions are utility functions and code related to external APIs or specifications. It is possible to automatically generate TypeScript type definitions from Swagger contracts, GraphQL or JSON schemas to be included in your project. as well as you can use website called https://quicktype.io/ to generate types and interfaces in order to user them in your tsx or ts file.

Using Codable structs is better than dictionaries. Paste the JSON into https://quicktype.io/ and it will create the structs for you.

May be quicktype.io?

Check out quicktype.io. You can paste in your JSON and it will build your model for you. There's even an option for creating constructors. And you can choose your programming language. I usually spend some time cleaning it up a bit. It's not the perfect solution and I don't use it all the time, but it sure saves time for complicated models.

Hello. I used quicktype.io to try and implement an api in my code.