hakyll VS swagger-petstore

Others have mentioned static site generators. I like Hakyll [1] because it can tightly integrate with Pandoc [2] and allows you to develop custom solutions if your needs ever grow.

[1]: https://jaspervdj.be/hakyll/

[2]: https://pandoc.org/

Honestly, I've had a great experience with Hakyll for static site generation. There's a bit of a learning curve to effectively use the library/framework, but in my opinion the learning curve is much lower than Yesod/Fay. If all you need is to build static website pages, I'd suggest Hakyll.

Hakyll

Hi there. A friend of mine wanted to publish a blog/site at both French and English. I told him about static generators and Hakyll from u/jaspervdj but the internationalization piece was missing. Of course there are other generators with internationalization but... Well here is one for Hakyll. * Generator source code * Use case and its source code --- If it already exists, ‏‏‎ please hide that fact from me. If not and if you enjoy it, please use it at will. There is a public docker image at registry.gitlab.com/swi18ng/swi18ng:latest for quick testing purpose if needs be (don't forget to add -e LANG=C.UTF8 if you use some special characters). And of course, don't hesitate to give me some feedback. This would be greatly appreciated! > P.

This info is relevant because Hakyll application requires to be complied before it generates the pages, and the compilation process of Haskell is a pretty expensive (computationally saying). Although, the executable is incredible fast, due to great work made by the compiler. This processing cost will be discussed soon.

Btw there is a static page generator utilizing pandoc directly: hakyll[1]. Since it's configuration is done via haskell source code file, you need to be willing to learn a bit of haskell though.

[1] https://jaspervdj.be/hakyll/

Hakyll (Haskell) (website| GitHub)

Swagger offers more than just a user-friendly interface for exploring APIs. It also provides multiple generators that can produce code typically written by hand. As an Angular developer, this blog post will focus on the typescript-angular generator.

Failed to create a client for Java. The generator imports Java's types instead of TeamCity's. There are bugs described for the Java client in both the Swagger generator and the OpenAPI generator. Let's see how the generator behaves when building a Kotlin client.

[swagger-codegen](https://github.com/swagger-api/swagger-codegen) generates code from an OpenAPI definition, and it supports Rust code output (client and/or server).

Swagger contains three greats tools to work with the specification: Swagger UI, Swagger Editor and Swagger Codegen. The Swagger UI renders OpenAPI specs as interactive API documentation, Swagger Editor is a browser-based editor where you can write OpenAPI specs and Swagger Codegen generates server stubs and client libraries from an OpenAPI spec like the OpenAPI generator.

We ran into some minor issues (#1201, #1210, #1355, #1356 and #1769) and fixed some stuff we stumbled upon along the way, although it didn't really bother us as well (#1451 and #1769).

I am interested in integrating a swagger-codegen generated Python server with an existing Flask application. swagger-codegen generates a Python implementation based on the Connexion library from a Swagger API specification.

The method takes a query, String, and a completion block, (Result<[String], Error>) -> Void, which is triggered once the request finishes. Its internal implementation doesn't really matter since it could be from an external framework or generated by a code generator from the API specification.

The Java codegen options are here: https://github.com/swagger-api/swagger-codegen/issues/7795 (believe it or not).

Creating TS types/interfaces manually can be tedious. But, if you have JSON responses of your APIs, you can quickly convert those JSON responses to TS interfaces using VS Code extension Paste JSON as Code. Also, if your backend already uses Swagger for API, you can auto-generate all the TS types of your API models using swagger-codegen