Please read UPGRADE-v2.0.md to learn how to upgrade to Graphene 2.0.

Graphene-SQLAlchemy

Installation

For instaling graphene, just run this command in your shell

pip install "graphene-sqlalchemy>=2.0"

Examples

Here is a simple SQLAlchemy model:

from sqlalchemy import Column, Integer, String
from sqlalchemy.orm import relationship

from sqlalchemy.ext.declarative import declarative_base

Base = declarative_base()

class UserModel(Base):
    __tablename__ = 'department'
    id = Column(Integer, primary_key=True)
    name = Column(String)
    last_name = Column(String)

To create a GraphQL schema for it you simply have to write the following:

from graphene_sqlalchemy import SQLAlchemyObjectType

class User(SQLAlchemyObjectType):
    class Meta:
        model = UserModel

class Query(graphene.ObjectType):
    users = graphene.List(User)

    def resolve_users(self, info):
        query = User.get_query(info)  # SQLAlchemy query
        return query.all()

schema = graphene.Schema(query=Query)

Then you can simply query the schema:

query = '''
    query {
      users {
        name,
        lastName
      }
    }
'''
result = schema.execute(query, context_value={'session': db_session})

You may also subclass SQLAlchemyObjectType by providing abstract = True in your subclasses Meta:

from graphene_sqlalchemy import SQLAlchemyObjectType

class ActiveSQLAlchemyObjectType(SQLAlchemyObjectType):
    class Meta:
        abstract = True

    @classmethod
    def get_node(cls, info, id):
        return cls.get_query(info).filter(
            and_(cls._meta.model.deleted_at==None,
                 cls._meta.model.id==id)
            ).first()

class User(ActiveSQLAlchemyObjectType):
    class Meta:
        model = UserModel

class Query(graphene.ObjectType):
    users = graphene.List(User)

    def resolve_users(self, info):
        query = User.get_query(info)  # SQLAlchemy query
        return query.all()

schema = graphene.Schema(query=Query)

Full Examples

To learn more check out the following examples:

Contributing

After cloning this repo, ensure dependencies are installed by running:

python setup.py install

After developing, the full test suite can be evaluated by running:

python setup.py test # Use --pytest-args="-v -s" for verbose mode

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