JSON-Schema Faker VS Immer

There’s also json-schema-faker which is pretty cool.

https://github.com/json-schema-faker/json-schema-faker

I built a CSV generator which I then use as a test data source for a dsv library on that principle and another API generator based on schema. Something that might be additionally helpful is json-schema-faker, as you can probably convert you primary record (DB schema) to json-schema then just generate tons of data.

I only know https://github.com/json-schema-faker/json-schema-faker for JS, not Java though.

Hell, i was using this one earlier today; just kills me that people think this is acceptable.

The payload object contains a reference to a JSON Schema object that describes the properties of the event. This allows the consumer to know exactly how to define the event when publishing or how to write code that consumes a subscribed event. There are even tools online that generate examples from JSON Schema (and vice versa).

The class-validator / class-transform looks really nice for formatting/validation but there is also joi. suretype is attractive since theoretically typeconv could generate jsonSchema for json-schema-faker and Open API docs.

I've been using Fake your JSON-Schemas! (json-schema-faker.js.org), but it does not consider if-then-else rules in its generation process.

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It looks like it’s mutating, but both the reducers and update() uses immer* under the hood, so we still respect immutability under the hood.

Cami supports redux devtools so you can use that for time-travel debugging too!

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* https://github.com/immerjs/immer

I heard that immutability libraries like immer.js [0] help with this. Anyone go this way and had good success? Is this 'the way'?

[0]: https://immerjs.github.io/immer/

So, that's what we built, and we built it in the most obvious way — using JavaScript Proxy objects to track mutations and reflect those changes across Appsmith’s framework. Initially things looked good — it worked, aside from a few hacks to make some data types work with map and set, and we were following the example of other projects that had similar requirements. If it was good enough for them, it should be good enough for us, right?

But is immer really the ultimate answer? The performance problem of immer is more prominent in large arrays and deep-level object scenarios. See this issue description, many authors in the community began to try to make breakthroughs, and noticed that structura and mutative, I found that it is indeed many times faster than immer as they said, but it still fails to solve the problem of both fast speed and good development experience. I will analyze the two issues in detail below.

I like immer for this kind of thing: https://github.com/immerjs/immer

It gives you immutable updates without getting bogged down in FP abstractions.

I've always been a huge fan of immer for these case. For your code, it would simply turn into setGridData((prev) => produce(prev, draft => applyChanges(changes, draft)) but I recommend you go over their documentation to fully understand how it works

If you're trying to make things actually immutable, Object.freeze and deep copies can clutter things up pretty good, have you considered using something like immer? (https://immerjs.github.io/immer/)

If you want to set up from Context, Zustand is your best bet. It offers an extremely simple API that lets you create a store with values and functions. Then, you can access that store from anywhere in your application to read and write values. Reactivity included! If you want to store nested object data in your store, consider using Immer alongside Zustand to easily change nested state.