Creating multiple objects with foreign key

users = UserFactory.create_batch(10)for user in users:    doc = DocFactory.create(user=user)

You can use a post_generation decorator:

class UserFactory(factory.Factory):    ...    @factory.post_generation    def create_docs(self, create, extracted, **kwargs):        if not create:            return        for i in range(50):            doc = DocFactory.create(user=self)

For those of you working with SQLAlchemy, this can be done with the following recipe (notice that I'm using the Person/Address models instead of the User/Docs model example above).

from sqlalchemy import create_engine, Integer, Text, ForeignKey, Columnfrom sqlalchemy.ext.declarative import declarative_basefrom sqlalchemy.orm import relationship, scoped_session, sessionmakerimport factoryfrom factory.alchemy import SQLAlchemyModelFactory as sqla_factoryimport randomengine = create_engine("sqlite:////tmp/factory_boy.sql")session = scoped_session(sessionmaker(bind=engine))Base = declarative_base()class Person(Base):    id = Column(Integer, primary_key=True)    name = Column(Text)    addresses = relationship("Address", backref="person")class Address(Base):    id = Column(Integer, primary_key=True)    city = Column(Text)    street = Column(Text)    street_number = Column(Integer)    person_id = Column(Integer, ForeignKey('person.id'))class AddressFactory(sqla_factory):    class Meta:        model = Address        sqlalchemy_session = session    street_number = random.randint(0, 10000)    street = "Commonwealth Ave"    city = "Boston"class PersonFactory(sqla_factory):    class Meta:        model = Person        sqlalchemy_session = session    name = "John Doe"Base.metadata.create_all(engine)for i in range(100):    person = PersonFactory(addresses=AddressFactory.create_batch(3))

This creates 3 workouts for each person created, where each workout references the person via the person_id FK.