Schemathesis VS redux-toolkit

I am not aware of any tools like that, but eventually, I plan to add support for gRPC fuzzing to Schemathesis. There were already some discussions and it is more or less clear how to move forward. See https://github.com/schemathesis/schemathesis/discussions/190...

Why is AI needed for this at all? Have you heard about Schemathesis (https://github.com/schemathesis/schemathesis)?

SchemaThesis is a powerful tool, especially when working with web APIs, and here's how it can enhance your testing capabilities:

I'm sorry, but you have completely misunderstood the purpose of Open API.

It is not a specification to define your business logic classes and objects -- either client or server side. Its goal is to define the interface of an API, and to provide a single source of truth that requests and responses can be validated against. It contains everything you need to know to make requests to an API; code generation is nice to have (and I use it myself, but mainly on the server side, for routing and validation), but not something required or expected from OpenAPI

For what it's worth, my personal preferred workflow to build an API is as follows:

1. Build the OpenAPI spec first. A smaller spec could easily be done by hand, but I prefer using a design tool like Stoplight [0]; it has the best Web-based OpenAPI (and JSON Schema) editor I have encountered, and integrates with git nearly flawlessly.

2. Use an automated tool to generate the API code implementation. Again, a static generation tool such as datamodel-code-generator [1] (which generates Pydantic models) would suffice, but for Python I prefer the dynamic request routing and validation provided by pyapi-server [2].

3. Finally, I use automated testing tools such as schemathesis [3] to test the implementation against the specification.

[0] https://stoplight.io/

[1] https://koxudaxi.github.io/datamodel-code-generator/

[2] https://pyapi-server.readthedocs.io

[3] https://schemathesis.readthedocs.io

Consolidating the API specification with OpenAPI was a turning point for the project. From that moment we were able to run mock servers to build and test the UI before integrating with the backend, and we were able to validate the backend implementation against the specification. We used prism to run mock servers, and Dredd to validate the server implementation (these days I’d rather use schemathesis).

In this approach, you produce an API specification first, then you build the API against the specification, and then you validate your implementation against the specification using automated API testing tools. This is the most reliable approach for building API servers, since it’s the only one that holds the server accountable and validates the implementation against the source of truth. Unfortunately, this approach isn’t as common as it should be. One of the reasons why it isn’t so common is because it requires you to produce the API specification first, which, as we saw earlier, puts off many developers who don’t know how to work with OpenAPI. However, like I said before, generating OpenAPI specifications doesn’t need to be painful since you can use tools for that. In this approach, you use automated API testing tools to validate your implementation. Tools like Dredd and schemathesis. These tools work by parsing your API specification and automatically generating tests that ensure your implementation complies with the specification. They look at every aspect of your API implementation, including use of headers, status codes, compliance with schemas, and so on. The most advanced of these tools at the moment is schemathesis, which I highly encourage you to check out.

Keep all API versions in the code Another strategy is to have all the different API versions in the same code. So you may have a folder structure that looks like this: api ├── v1 └── v2 Within the API folder, you have one folder for v1 and another one for v2. Each folder has its own schemas and routes as required by the API version they implement. If you use URL-based versioning, v1 is accessible through the example.com/v1 endpoint or the v1.example.com subdomain (whichever strategy you use), and same for v2. Deprecating a version is a simple as its corresponding folder. In any case, I'd recommend you also validate your API implementations in the CI using something like schemathesis. Schemathesis looks at the API documentation and automatically generates hundreds of tests to make sure you're using the right schemas, status codes, and so on. It works best if you design and document the API before implementing, which allows you to include OpenAPI links and other features.

schemathesis – Run generated test scenarios based on your OpenAPI specification

In my example I am using Redux Toolkit and I got a prompt for actions to login and logout the user. If I need more functions, I can simply start typing the name, and Copilot provides the completion. For instance, in the example, I'm adding a function to update the user. And of course at the end of the file it suggests the exports.

Check out the official documentation.

Redux Toolkit 2.0

Redux Toolkit 2.0 is almost here! Hopefully shipping by this weekend :) Migration page

I am _thrilled_ to announce that:

Redux Toolkit 2.0 is LIVE!!!

- https://github.com/reduxjs/redux-toolkit/releases/tag/v2.0.0

This major version has new features, faster perf, smaller bundle size, and removes deprecated options.

It's accompanied by majors for all our Redux family packages

## RTK 2.0:

- a new `combineSlices` method for lazy-loading reducers - Updates to `createSlice` to include a `selectors` field and allow defining thunks inside

- Immer 10 w/ faster updates

- Removal of deprecated options

See the migration guide:

- https://redux.js.org/usage/migrations/migrating-rtk-2

All of the Redux libraries now have modernized packaging with full ESM/CJS compat. They also ship modern JS (no transpiling for IE11), which means smaller bundle sizes.

We've also done byte-shaving work to shrink the bundles (extracting error messages, de-duping imports)

## Redux core 5.0:

- The TS conversion we did in 2019!

- Action types _must_ be strings

- `UnknownAction` as the default action type

- Better preloaded state types

- Internal subscription improvements

- Still marks `createStore` as deprecated!

- https://github.com/reduxjs/redux/releases/tag/v5.0.0

## React-Redux 9.0:

- *Now requires React 18 and RTK 2.0 / Redux 5.0*

Oh hey, that's my post!

(yes I spend too much time refreshing HN :) )

FWIW I did end up with a packaging combination that seems to work sufficiently. I never did fix the "FalseCJS" issue that `are-the-types-wrong` is detecting. I played with double-emitting TS typedefs, and the `tsup` tool _does_ actually have support for that now (added by Andrew Branch from the TS team). So it might be more feasible now. But ultimately I decided I was tired of messing with packaging setup and that what I've got is good enough. (hopefully)

We're actually about to launch Redux Toolkit 2.0 and Redux 5.0 this week, assuming the last couple pieces come together. Here's the latest RCs - you can see the current `package.json` files in there:

- https://github.com/reduxjs/redux-toolkit/releases/tag/v2.0.0...

- https://github.com/reduxjs/redux/releases/tag/v5.0.0-rc.1

However, Redux, or pure Redux to be specific, can be quite verbose and boilerplate-heavy. It requires a significantly lengthy setup, which is where Redux Toolkit comes in handy, offering a simplified and more efficient way to set up and manage state in your React applications.

State manager is a tool or library that helps manage the state of an application. It provides a centralized store or container for storing and managing data that can be accessed and updated by different components in the application. A state manager solves several problems. Firstly, it is a good practice to separate data and the logic related to it from components. Secondly, when using local state and passing it between components, the code can become convoluted due to the potential for deep nesting of components. By having a global store, we can access and modify data from any component. Alongside React Context, Redux or MobX are commonly used as state management libraries. Learn more Learn more