Error localization at the separation level of the server and client parts allows you to quickly find the place with the wrong logic of the information system. The task of testing the API helps to clearly determine in which part the error occurs. Works well on the public API level, microservices, and systems with high scalability.One presentation layer works with JSON, XML, HTML, etc.Stateless (no server-side information about client state).Architectural style with no standardized description.The RESTful application builds logic around resources, but not around endpoints: Providers (servers) who are waiting for a connection to receive a request, take the necessary actions, and return a message with the result.Consumers (customers) who initiate a connection and send a request.The basis of HTTP is the client-server technology, that is, the following are assumed: In turn, HTTP (HyperText Transfer Protocol) is an application-level data transfer protocol that was originally planned in the form of hypertext documents in the HTML format and is currently used to transfer arbitrary data. These methods are restricted to storing client status on the state server, i.e. RESTful service uses four methods from HTTP protocol: get, post, put, and delete. RESTful Web services are built with a list of constraints that simplify client-server information exchange and their software implementation. Actually, it is not a protocol itself, but a set of rules or guidelines for building an effective communication model between the sender and receiver of information. REST is a software architectural style for web services. It transfers information from the client in the request parameters, information from a server in the body of the response (which can be, for example, a JSON object or an XML document). REST (Representational State Transfer) provides communication between the client (usually a browser) and the server using ordinary HTTP requests (GET, POST, PUT, DELETE, etc.). This is where the REST API testing tools are used. Manually reviewing each request and generating parameters is a rather laborious task, as when changing the back-end or the microservice architecture settings, you need to check the API constantly during the development process. You can either put them in the configuration file, or in the test file with e().Since the number of services that actively use REST protocol, including cloud systems and microservices, has recently increased, the question of high-quality and quick testing of REST-based APIs becomes even more relevant. While at it, we'll also set the baseURL to simplify the tests. GitHub API requires authorization, so we'll configure the token once for all tests. Delete the repository after running tests.Create a few issues and validate server state.Create a new repository before running tests.The following example demonstrates how to use Playwright to test issues creation via GitHub API. Validate server side post-conditions after running some actions in the browser.Īll of that could be achieved via APIRequestContext methods.ĪPIRequestContext can send all kinds of HTTP(S) requests over network.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |