fixture utils for python ORMs
distillery is another factory_girl like library for python ORMs.
pip install distillery
Each distillery has a __model__ and a set of attributes and methods. The __model__ is the ORM model class from which instance will be produced:
class UserDistillery(MyOrmDistillery): __model__ = User
A distillery class attribute defines default values for specific model field:
class UserDistillery(MyOrmDistillery): __model__ = User username = "defaultusername"
The distillery’s attribute values act as defaults. If a User object is created using this distillery, its username attribute will default to "defaultusername".
Using the lazy decorator, you can provide dynamic attributes.
from distillery import lazy class UserDistillery(MyOrmDistillery): __model__ = User username = "defaultusername" @lazy def email_address(cls, instance, sequence): return "%s@%s" % (instance.username, instance.company.domain)
All new User created from UserDistillery will have an email_address computed from his username and his company domain.
Note: all lazies received an instance and a sequence that are the object instance and an auto-incremented sequence, respectively.
A distillery can provide an _after_create class method to hook into the factory machinery.
class UserDistillery(MyOrmDistillery): __model__ = User username = "defaultusername" @classmethod def _after_create(cls, instance): # Do stuff after instance creation # ...
The init() method creates and populates a new instance.
user = UserDistillery.init() assert user.username == "defaultusername" assert user.id is None user = UserDistillery.create(username="overriddenusername") assert user.username == "overriddenusername" assert user.id is None
The create() method initializes the object using init() and subsequently saves it.
user = UserDistillery.create() assert user.username == "defaultusername" assert user.id is not None
Creates instances in bulk.
users = UserDistillery.bulk(12, username="user_%(i)%") assert users.username = 'user_7'
The distillery.Set class acts as a fixture container.
It’s required to define a __distillery__ attribute which is used to create objects.
from distillery import Set class UserSet(Set): __distillery__ = UserDistillery class jeanphix: username = 'jeanphix'
To create the fixtures, simply instantiate the set.
users = UserSet() assert users.jeanphix.username == 'jeanphix'
Importantly, as long as a reference to the instantiated set is held (e.g. the users variable in this example), the set can be called again and the same instance is returned:
assert UserSet() is UserSet()
You can reference other sets, too. Note that you must reference using the class, or use a lazy attribute (described later):
from distillery import Set class CompanySet(Set): __distillery__ = CompanyDistillery class my_company: name = 'My company' class UserSet(Set): __distillery__ = UserDistillery class jeanphix: username = 'jeanphix' company = CompanySet.company users = UserSet() assert users.jeanphix.company == 'My company'
In addition to classes, methods can be defined; each will result in an object which is added to the set.
class ProfileSet(Set) class __distillery__: __model__ = Profile admin = lambda s: UserDistillery.create(username='admin').profile
This functionality extends to class-based references. Note that the reference must be resolvable at the point of creation; circular relationships are currently not supported.
class UserSet(Set): class peter: friend = None class paul: friend = classmethod(lambda c: UserSet.peter)
If the on_demand flag is set, objects are created only when first accessed.
users = UserSet(on_demand=True) users.jeanphix # jeanphix will be created here.
Finally, sets can be nested.
class fixtures(Set): users = UserSet assert fixtures().users.jeanphix.username == 'jeanphix'
Each fixture in a set can provide an _after_create listener:
class ProfileSet(Set): class __distillery__: __model__ = Profile class admin: @classmethod def _after_create(cls, profile): profile.name = 'Full name' assert ProfileSet().admin.name == 'Full name'
Both Django and SQLAlchemy are supported.
Django models could be distilled using DjangoDistillery that only requires a __model__ class member:
from distillery import DjangoDistillery from django.auth.models import User class UserDistillery(DjangoDistillery): __model__ = User # ...
SQLAlchemy distilleries require both the __model__ and __session__ attributes.
from distillery import SQLAlchemyDistillery from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker engine = create_engine('sqlite://', echo=False) Session = sessionmaker() Session.configure(bind=engine) session = Session() Base = declarative_base() class User(Base): # ... class UserDistillery(SQLAlchemyDistillery): __model__ = User __session__ = session # ...
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