Creating Dynamic Schema on Runtime Graphene

I almost spent 3 days to find a way for creating a dynamic schema in python graphene. the only related result I could find is the below link: https://github.com/graphql-python/graphene/blob/master/graphene/types/dynamic.py But I couldn't find any documentation for it.

The whole idea is to create a dynamic schema. I want to provide a GraphQL compatible API that makes users able to query my contents even if Models are not defined in the code. In other words, I want to create Models on the fly. I have no idea about what shall I do.

It would be a great favor if you can provide an example for that.

Update :

My Project is a Headless CMS which has a feature that users can create their own content types and I want to provide a GraphQL interface to make everything easier and more flexible.

Here is example of my Content Types in DB :

{
  "id": "author",
  "name": "Book Author",
  "desc": "",
  "options":[
    {
      "id": "author_faname",
      "label": "Sample Sample",
      "type": "text",
      "required": true,
      "placeholder":"One Two Three Four"
    },
    {
      "id": "author_enname",
      "label": "Sample label",
      "type": "text",
      "required": true,
      "placeholder":"Sample Placeholder"
    }
  ]
}

And Here is Stored content in DB based on that content type :

{
  "id": "9rqgbrox10",
  "content_type": "author",
  "data":{
    "author_fname":"Jimmy",
    "author_ename":"Hello"
  }
}

Now as my Models are not declared in Code and they are completely in DB, I want to make my schemas on the fly and I don't know what is best the solution for this. I know there should be a way because the other Headless CMS Projects are providing this.

Thanks in advance!

Basically, schema is created something like this:

class MyType(graphene.ObjectType):
    something = graphene.String()

class Query(graphene.ObjectType):
    value = graphene.Field(MyType)

schema = graphene.Schema(query=Query, types=[MyType])

First, in order to add some kind of dynamics, you will most likely want to wrap the above code in a function like create_schema().

Then, when you want to dynamically create a class during runtime, the above code can be rewritten like this:

def create_schema():
    MyType = type('MyType', (graphene.ObjectType,), {
        'something': graphene.String(),
    })

    Query = type('Query', (graphene.ObjectType,), {
        'value': graphene.Field(MyType),
    })

    return graphene.Schema(query=Query, types=[MyType])

For your example it could look something like this:

def make_resolver(record_name, record_cls):
    def resolver(self, info):
        data = ...
        return record_cls(...)
    resolver.__name__ = 'resolve_%s' % record_name
    return resolver

def create_schema(db):
    record_schemas = {}
    for record_type in db.get_record_types():
        classname = record_type['id'].title()  # 'Author'
        fields = {}
        for option in record_type['options']:
            field_type = {
                'text': graphene.String,
                ...
            }[option['type']
            fields[option['id']] = field_type()  # maybe add label as description?
        rec_cls = type(
            classname,
            (graphene.ObjectType,), 
            fields,
            name=record_type['name'],
            description=record_type['desc'],
        )
        record_schemas[record_type['id']] = rec_cls

    # create Query in similar way
    fields = {}
    for key, rec in record_schemas:
        fields[key] = graphene.Field(rec)
        fields['resolve_%s' % key] = make_resolver(key, rec)
    Query = type('Query', (graphene.ObjectType,), fields)

    return graphene.Schema(query=Query, types=list(record_schemas.values()))

Note that if you try to insert new fields into already existing class, like this - MyType.another_field = graphene.String(), then it won't work: that is because when graphene.ObjectType class is instantiated, all its fields are recorded in self._meta.fields OrderedDict. And updating it is not as straightforward as just MyType._meta.fields['another_field'] = thefield - see the code of graphene.ObjectType.__init_subclass_with_meta__ for details.

So if your schema is dynamically changed then it might be better to fully re-create it from scratch than to patch it.