Please read UPGRADE-v2.0.md
to learn how to upgrade to Graphene 2.0
.
A SQLAlchemy integration for Graphene.
For instaling graphene, just run this command in your shell
pip install "graphene-sqlalchemy>=2.0"
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
# only return specified fields
only_fields = ("name",)
# exclude specified fields
exclude_fields = ("last_name",)
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)
To learn more check out the following examples:
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