djraphql 0.1.4

DjraphQL builds a flexible & performant GraphQL schema by examining your Django models.

DjraphQL

Check out the documentation!

What

DjraphQL ("GiraffeQL") is a library that examines your Django models and builds a flexible, performant GraphQL schema using Graphene. No resolvers necessary.

You can of course extend this schema, reference the defined types and build custom business logic into your own resolvers. The goal is to remove the monotonous 90% of boilerplate generalized C.R.U.D. and allow you to focus on stuff that can't be auto-generated.

How

You provide a list of Django models and some associated metadata. For example, you can define the QuerySet that will be used for each fetch of a certain model type (you have access to the Django request object in the definition lambda for the QuerySet). By providing a QuerySet that is already filtered by e.g., user account, the library will use that QuerySet in the resolvers it generates. The requirement that you must remember to filter by account is all but eliminated.

It builds each relationship into the schema, so you can traverse from Label to Artists to Albums to Songs in a single query (both in the result-set and via filtering), still retreiving only the data you need.

You can specify arbitrarily complex SQL statements: the schema allows specifying filtering via where, orderBy, offset, limit clauses.

It allows smooth (nested, if you're bold enough!) updates & inserts.

Perhaps best of all, it automatically generates select_related and prefetch_related calls to your QuerySet. This avoids the classic GraphQL N+1 problem usually solved by things like dataloader. Additionally, it fetches only the columns necessary to satisfy the query. No over fetching!

A hand-rolled schema providing all of this for a single model would be hundreds of lines of code. Multiply that by a realistic, mature application with a hundred or more models, and you have an unmaintainable mess. This library auto-generates it for you, leaving the "fun" stuff for you.