django-autofixture 0.12.1

Requirements

• We require and support Django 1.4 to 1.9

Installation

You must make the autofixture package available on your python path. Either drop it into your project directory or install it from the python package index with pip install django-autofixture. You can also use easy_install django-autofixture if you don’t have pip available.

To use the management command you must add 'autofixture' to the INSTALLED_APPS setting in your django settings file. You don’t need to do this if you want to use the autofixture package only as library.

Management command

The loadtestdata accepts the following syntax:

python manage.py loadtestdata [options] app.Model:# [app.Model:# ...]

It’s nearly self explanatory. Supply names of models, prefixed with its app name. After that, place a colon and tell the command how many objects you want to create. Here is an example of how to create three categories and twenty entries for your blogging app:

python manage.py loadtestdata blog.Category:3 blog.Entry:20

Voila! You have ready-to-use testing data populated to your database. The model fields are filled with data by producing randomly generated values depending on the type of the field. E.g. text fields are filled with lorem ipsum dummies, date fields are populated with random dates from the last year etc.

There are a few command line options available. Mainly to control the behavior of related fields. If foreingkey or many to many fields should be populated with existing data or if the related models are also generated on the fly. Please have a look at the help page of the command for more information:

python manage.py help loadtestdata

Using autofixtures as a tool for unittests

Testing the behavior of complex models has always bugged me. Sometimes models have many restrictions or many related objects which they depend on. One solution would be to use traditional fixtures dumped from your production database. But while in development when database schemes are changing frequently, it can be time consuming and sometimes difficult to deep track of changes and what each dump contains.

Autofixtures to the rescue!

Let’s start with the basics. We create an AutoFixture instance for the Entry model and tell it to create ten model instances:

>>> from autofixture import AutoFixture
>>> fixture = AutoFixture(Entry)
>>> entries = fixture.create(10)

Here are further examples for newer developers.

I have a Listing model and I want it populated with 10 objects.

>>> from autofixture import AutoFixture
>>> fixture = AutoFixture(Listing)
>>> entries = fixture.create(10)

Here I’ve added field values which allow you to default a field to a certain value rather than the random entries supplied by autofixture.

Generic Example including field_values:

from <yourapp>.models import <your model>
fixture = AutoFixture(<your model>, field_values={'<your field name>':<value>})

Specific example:

from main.models import Listing
fixture = AutoFixture(Listing, field_values={'needed_players': randint(2,10)})
entries=fixture.create(30)

In the above, I wanted the 'needed_players' (in the Session model) to have only numbers between 2 and 10, but I could have put {'needed_players': 5} if I had wanted all 'needed_players' instances to be 5.

Now you can play around and test your blog entries. By default, dependencies of foreignkeys and many to many relations are populated by randomly selecting an already existing object of the related model. But, what if you don’t have one yet? You can provide the generate_fk attribute which allows the autofixture instance to follow foreignkeys by generating new related models:

fixture = AutoFixture(Entry, generate_fk=True)

This generates new instances for all foreignkey fields of Entry. Unless the model has a foreign key reference to itself, wherein the field will be set to None if allowed or raise a CreateInstanceError. This is to prevent max recursion depth errors. It’s possible to limit this behaviour to single fields:

fixture = AutoFixture(Entry, generate_fk=['author'])

This will only create new authors automatically and doesn’t touch other tables. The same is possible with many to many fields. But you need to additionally specify how many objects should be created for the m2m relation:

fixture = AutoFixture(Entry, generate_m2m={'categories': (1,3)})

All created entry models get one to three new categories assigned.

fixture = AutoFixture(Entry,
    field_values={'pub_date': datetime(2010, 2, 1)})

from autofixture import AutoFixture, generators
fixture = AutoFixture(Entry, field_values={
    'blog': generators.InstanceSelector(
        Blog,
        limit_choices_to={'name__ne':"Yoko Ono's blog"})
})

Custom autofixtures

To have custom autofixtures for your model, you can easily subclass AutoFixture somewhere (e.g. in myapp/autofixtures.py)

from models import MyModel
from autofixture import generators, register, AutoFixture

class MyModelAutoFixture(AutoFixture):
    field_values = {
        'name': generators.StaticGenerator('this_is_my_static_name'),
    }

register(MyModel, MyModelAutoFixture)

Then, loadtestdata will automatically use your custom fixtures.

python manage.py loadtestdata app.MyModel:10

You can load all autofixtures.py files of your installed apps automatically like you can do with the admin autodiscover. Do so by running autofixture.autodiscover() somewhere in the code, preferably in the urls.py.

More

There is so much more to explore which might be useful to you and your projects:

• There are ways to register custom AutoFixture subclasses with models that are automatically used when calling loadtestdata on the model.

• More control for related models, even with relations of related models… (e.g. by using generate_fk=['author', 'author__user'])

• Custom constraints that are used to ensure that created models are valid (e.g. unique and unique_together constraints, which are already handled by default)

Contribute

You can find the latest development version on github. Get there and fork it, file bugs or send me nice wishes.

To start developing, make sure the test suite passes:

virtualenv .env
source .env/bin/activate
pip install -r requirements/tests.txt
python setup.py test

Now go, do some coding.

Feel free to drop me a message about critiques or feature requests. You can get in touch with me by mail or twitter.

Happy autofixturing!

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