OpenAPI-Specification VS Newman

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.

Testing Tools: Select suitable automated testing tools, such as OWASP Zap and Postman, for security and functionality testing.

Postman - API platform for easy endpoint testing

The results of the experiment to retrieve the existing product from the database by its id see GetProductByIdViaAuroraServerlessV2DataApiHandler with Lambda function with 1024 MB memory setting were based on reproducing more than 100 cold and approximately 10.000 warm starts with experiment which ran for approximately 1 hour. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. We won't enable SnapStart on the Lambda function first.

Use tools like Postman or Insomnia to test the API endpoints and ensure they behave as expected.

Products are available on our Strapi server. We need to be able to send HTTP requests that will allow clients or users to perform CRUD operations on these product resources. Postman will be our tool for making requests to the Strapi REST API.

We will be performing all of the authentication requests manually, however for testing purposes, you might want to use an API testing tool such as Postman or Insomnia.

As you can see in the above diagram, a lambda function is scheduled to be executed periodically by EventBridge. This lambda function retrieves the assets exported from Postman (test collection, environment, and global variables), injects secrets from the secrets manager and executes the tests using the newman npm package, and, in case of failures, updates metrics in CloudWatch and stores test results in the S3 bucket. An alarm is triggered in case the metrics exceed a threshold (in this case, a count of 1).

I had to do some exploring/testing of an API today and thought that Postman would be the tool for the job.

Let's set up our API route first because we can quickly test it to see if it's working using an API testing tool like Postman. Create an API route for SendGrid by creating this folder structure src/app/api/sendgrid/route.js.

There are several ways to document an API including in an API testing client like Postman, but we will use OpenAPI spec to document. OpenAPI is an evolution of Swagger, which is a popular open source tool for all things API. Swagger comes with a user interface to display, interact and test our API documentation.