The OpenAPI Specification (OAS) defines a standard, language-agnostic interface to HTTP APIs which allows both humans and computers to discover and understand the capabilities of the service without access to source code, documentation, or through network traffic inspection. When properly defined, a consumer can understand and interact with the remote service with a minimal amount of implementation logic.
An OpenAPI definition can then be used by documentation generation tools to display the API, code generation tools to generate servers and clients in various programming languages, testing tools, and many other use cases.
Over-fetching is fetching too much data, meaning there is data in the response you don’t use.
Under-fetching is not having enough data with a call to an endpoint, forcing you to call a second endpoint.
In both cases, they are performance issues: you either use more bandwidth than ideal, or you are making more HTTP requests than ideal.
So, you end up with a compromise between not having too many endpoints, and having the endpoints fit each component needs best. This will lead to over-fetching in some cases (the endpoint will provide more data than needed for one specific component), and under-fetching in some others (you will need to call a second endpoint).
GraphQL fixes this problem because it allows you to request which data you want from the server. You specify what you need and will get this data, and only this data, in one trip to the server.
Ordering posts by menu_order doesn’t work out of the box with the WP REST API. To enable this you need to add a filter to rest_{post_type}_collection_params for each post type you want to order by menu_order.
Okay, so based on what we know, what are the steps to creating a REST API?
Set up Django
Create a model in the database that the Django ORM will manage
Set up the Django REST Framework
Serialize the model from step 2
Create the URI endpoints to view the serialized data
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