fixture utils for python ORMs
Project description
distillery is another fatory_girl like for python ORMs.
Installation
pip install distillery
Defining distilleries
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__ = UserAttributes
A distillery class attribute defines default values for specific model field:
class UserDistillery(MyOrmDistillery):
__model__ = User
username = "defaultusername"All new User outputted from UserDistillery will have defaultusername as username field value while there’s no override.
Methods (a.k.a. “lazy attributes”)
A distillery class method allow to build dinamic value for specific field:
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 outputted 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 respectively the object instance and an auto incremented sequence.
Using distilleries
Distillery.init()
Inits and populates an 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 NoneDistillery.create()
Inits, populates and persists an instance:
user = UserDistillery.create()
assert user.username == "defaultusername"
assert user.id is not NoneDatasets
distillery provides a Set class that act as a fixture container.
A Set needs a __distillery__ class member from where all instances will born:
from distillery import Set
class UserSet(Set):
__distillery__ = UserDistillery
class jeanphix:
username = 'jeanphix'Then simply instanciate the UserSet to access the fixture object:
users = UserSet()
assert users.jeanphix.username == 'jeanphix'Cross Set relations are also allowed:
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'Set fixtures can be callable:
class ProfileSet(Set)
class __distillery__:
__model__ = Profile
admin = lambda s: UserDistillery.create(username="admin").profileSet fixtures 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'Set can create fixture instances on demand when they are accessed by setting on_demand constructor parameter:
users = UserSet(on_demand=True)
users.jeanphix # jeanphix will be created here.Set can act as container for other sets:
class fixtures(Set):
users = UserSet
assert fixtures().users.jeanphix.username == 'jeanphix'ORMs
Django
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
SQLAlchemy distilleries require a __model__ and a __session__ class members:
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
# ...Release history Release notifications | RSS feed
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