mixer 0.2.8

Mixer -- Is a fixtures replacement. Supported Django, Flask, SqlAlchemy and custom python objects.

Mixer is simply application for generate instances of Django or SQLAlchemy models. It’s useful for testing or fixtures replacement. Fast and convenient test-data generation.

Mixer supports:

• Django;

• SQLAlchemy;

• Flask-SqlAlchemy (only for python 2.6, 2.7);

• Custom schemes;

Contents

• Requirements

• Installation

• Usage

  • Django

  • Flask, Flask-SQLAlchemy

  • SQLAlchemy

  • Common usage

• Bug tracker

• Contributing

• Contributors

• License

Requirements

• python (2.6, 2.7, 3.2, 3.3)

• Django (1.4, 1.5) for django ORM suport;

• SQLAlchemy for SQLAlchemy ORM suport;

• Flask-SQLALchemy for SQLAlchemy ORM suport and integration as Flask application;

Installation

Mixer should be installed using pip:

pip install mixer

Usage

By default Mixer try to generate fake data. If you want randomize values

initialize the Mixer by manual like: Mixer(fake=False)

By default Mixer saves generated objects in database. If you want disable

this, initialize the Mixer by manual like: Mixer(commit=False)

Django

Quick example:

from mixer.backend.django import mixer
from customapp.models import User, UserMessage

# Generate random User
user = mixer.blend(User)

# Generate UserMessage
message = mixer.blend(UserMessage, user=user)

# Generate UserMessage and User. Set User.username to 'testname'.
message = mixer.blend(UserMessage, user__username='testname')

# Generate SomeModel from SomeApp and select FK or M2M values from db
some = mixer.blend('someapp.somemodel', somerelation=mixer.select)

# Generate SomeModel from SomeApp and force a value of field with default to random
some = mixer.blend('someapp.somemodel', money=mixer.random)

# Generate 5 SomeModel instances and get a field values from custom generator
some_models = mixer.cycle(5).blend('someapp.somemodel', company=(company for company in companies))

Flask, Flask-SQLAlchemy

Quick example:

from mixer.backend.flask import mixer
from models import User, UserMessage

mixer.init_app(self.app)

# Generate random User
user = mixer.blend(User)

# Generate UserMessage
message = mixer.blend(UserMessage, user=user)

# Generate UserMessage and User. Set User.username to 'testname'.
message = mixer.blend(UserMessage, user__username='testname')

# Generate SomeModel and select FK or M2M values from db
some = mixer.blend('project.models.SomeModel', somerelation=mixer.select)

# Generate SomeModel from SomeApp and force a value of field with default to random
some = mixer.blend('project.models.SomeModel', money=mixer.random)

# Generate 5 SomeModel instances and get a field values from custom generator
some_models = mixer.cycle(5).blend('project.models.SomeModel', company=(company for company in companies))

SQLAlchemy

Example of initialization:

from mixer.backend.sqlalchemy import Mixer

ENGINE = create_engine('sqlite:///:memory:')
BASE = declarative_base()
SESSION = sessionmaker(bind=ENGINE)

mixer = Mixer(session=SESSION(), commit=True)
role = mixer.blend('package.models.Role')

Also see Flask, Flask-SQLALchemy.

Common usage

Quick example:

from mixer.main import Mixer

class Test:
    one = int
    two = int
    name = str

class Scheme:
    name = str
    money = int
    male = bool
    prop = Test

scheme = mixer.blend(Sheme, prop__one=1)

Bug tracker

If you have any suggestions, bug reports or annoyances please report them to the issue tracker at https://github.com/klen/mixer/issues

Contributing

Development of starter happens at github: https://github.com/klen/mixer

Contributors

• klen ([e-mail])

License

Licensed under a BSD license.