Not able to request EmbeddedDocumentField in query

[atbe]

Hi,

I have the following models:

class ProfessorMetadata(EmbeddedDocument):
    id = StringField()
    first_name = StringField()
    last_name = StringField()
    departments = ListField(StringField())


class ProfessorVector(Document):
    meta = {'collection': 'professorVectors'}
    vec = ListField(FloatField())
    metadata = EmbeddedDocumentField(ProfessorMetadata)

And setup a schema like so

class Query(graphene.ObjectType):
    professor_vector = graphene.Field(ProfessorVector, id=graphene.String())

    def resolve_professor_vector(self, info, id):
        print(id)
        return ProfessorVectorModel.objects(metadata__id=id).first()

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

And a sample of the object in the database:

{ 
    "_id" : ObjectId("5b0c4c9628086740a872dd4d"), 
    "id" : "5e06aa20-6805-4eef-a144-5615dedbe32b", 
    "vec" : [
        -1.9864423274993896, 
        -0.6392910480499268
    ], 
    "metadata" : {
        "id" : "5e06aa20-6805-4eef-a144-5615dedbe32b", 
        "first_name" : "Nigel S", 
        "last_name" : "Paneth", 
        "departments" : [
            "Epidemiology and Biostatistics"
        ]
    }
}

However with this setup, I am not able to run the following query in graphiql:

query {
  professorVector(id: "5e06aa20-6805-4eef-a144-5615dedbe32b") {
    id
    vec
    metadata {
      first_name
    }
  }
}

I get the following error:

{
  "errors": [
    {
      "message": "Cannot query field \"metadata\" on type \"ProfessorVector\".",
      "locations": [
        {
          "line": 5,
          "column": 5
        }
      ]
    }
  ]
}

What's the issue with EmbeddedDocumentField? Does graphene-mongo support this kind of embedded document? Any help would be appreciated.

Thanks.

[abawchen]

@atbe : Thanks for the feedback 👍

I think I have covered embedded document query already, you can refer following test case I just finished (and it's merged into master just as well)
https://github.com/graphql-python/graphene-mongo/pull/33/files#diff-ebf89c260b02c988b3c36c1cdd0d8463R232

Ping me if you have any question 😃

[abawchen]

@atbe: I think I know why your query did not work :(

We have to declare ProfessorMetadata before ProfessorVector, say in your schema:

class ProfessorMetadata(MongoengineObjectType):

    class Meta:
        model = ProfessorMetadataModel

class ProfessorVector(MongoengineObjectType):

    class Meta:
        model = ProfessorVectorModel


class Query(graphene.ObjectType):
    professor_vector = graphene.Field(ProfessorVector, id=graphene.String())

    def resolve_professor_vector(self, info, id):
        print(id)
        return ProfessorVectorModel.objects(metadata__id=id).first()

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

only that metadata could be resolved.

You can say it is by-design or the limitation of graphene-mongo, since currently it can't resolve reference model if not declared before.

[atbe]

@abawchen eureka! That looks to be what my issue was. I wasn't aware that I should declare embedded documents, thanks for clearing that up.