swagger-petstore VS OpenAPI-Specification

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

And I'll be using the OpenAPI Pet Store spec file as an example.

I saw your sibling comment about "keeping it simple," however that is a bit counter to "generates OpenAPI specifications" since those for sure are not limited to just application/json request/response bodies

I wanted to draw your attention to "normal" POST application/x-www-form-urlencoded <https://github.com/OAI/OpenAPI-Specification/blob/3.1.0/vers...> and its multipart/form-data friend <https://github.com/OAI/OpenAPI-Specification/blob/3.1.0/vers...>

The latter is likely problematic, but the former is in wide use still, including, strangely enough, the AWS API, although some of their newer services do have an application/json protocol

I know that's a lot of words, but the tl;dr would be that if you want your extension to be application/json only, then changing the description to say "OpenAPI specifications for application/json handshakes" would help the consumer be on the same page with your goals

Since FastAPI is based on OpenAPI, at this point you can also use the automatically generated docs. There are multiple options, and two are included by default. Try them out by accessing the following URLs:

This approach requires a constant context switch and is clearly not productive. Here, the OpenAPI Specification can help; you might already have it, but is it scalable? In this article, we’ll learn how to create an OpenAPI Specification document that is readable, scalable, and follows the principle of extension without modifying the existing document.

Phil Sturgeon, who along with Ben Hutton and Henry Andrews from the JSON Schema community, helped drive the push to full JSON Schema Draft 2020-12 compliance, has written a blog post for the official OpenAPIs.org website on how to transition your OAS documents from v3.0.x to v3.1.0.

In this article, we will be learning how to document API written in Node.js using a tool called Swagger. Swagger allows you to describe the structure of your APIs so that machines can read them. The ability of APIs to describe their own structure is the root of all awesomeness in Swagger. Why is it so great? Well, by reading our API’s structure, swagger can automatically build beautiful and interactive API documentation. It can also automatically generate client libraries for your API in many languages and explore other possibilities like automated testing. Swagger does this by asking our API to return a YAML or JSON that contains a detailed description of your entire API. This file is essentially a resource listing of our API which adheres to OpenAPI Specifications.

You may encounter APIs described as RESTful that do not meet these criteria. This is often the result of bottom-up coding, where top-down design should have been used. Another thing to watch out for is the absence of a schema. There are alternatives, but OpenAPI is a common choice with good tools support. If you don't have a schema, you can create one by building a Postman collection.

The principle behind the OpenAPI Specification (OAS – the industry’s most popular API specification format) is similar. It’s supposed to act as a blueprint for describing RESTful APIs.

OpenAPI 3.1 supports webhooks. It's not widely supported yet by implementations, but it's definitely there. https://github.com/OAI/OpenAPI-Specification/blob/main/examples/v3.1/webhook-example.yaml

The Fastly API is huge. We have lots of customers who want to interact with it using their chosen programming language but our small set of manually maintained clients was not sufficient to handle the job of our ever-evolving API. We needed a way to scale up our API client support, and OpenAPI was the answer.