They made a few fundamental changes in 3.0. Why did they do this?
For instance for serializers. Serialization is from an object to a serialization format like json. It is is the deserialization that is the hard part: you have to do validation on incoming data and transform it if needed and convert it to an object. How it happened till now:
serializer = ExampleSerializer(data=request.DATA, ...) serializer.is_valid() # serializer.object exists now
.is_valid() performs some validation on the serializer and it also
instantiates an object. In 3.0, the validation still happens, but it only
works on the serializer, not on an object. It returns validated data instead
of an object. The validated data can afterwards be saved to an object
Another change is that there’s a separate
method to split out the behaviour regarding creating new database objects or
updating existing ones. The previous version determined itself whether a
create or update was needed and it was often mixed in a wrong way.
This change was done because of relations. It is tricky to save a django User+Profile object when the user doesn’t exist yet. A profile needs a foreign key to a saved user… The code here did a dirty trick. A trick that you needed to do by hand to if you wanted to do something similar yourself.
You can look at this as an encapsulation problem (see Tom’s blog article). You can use the scheme of “fat models, thin views”. The idea is to say “never write to a model field or call .save() directly”. You instead always use model methods and manager methods for state changing operations. The advantage is that all your model-related code is encapsulated in one place.
Regarding the user/profile problem, you could write a custom model manager for
users with a custom
create() method which always creates User and Profile
instances as a pair.
In REST framework 3.0, you can now use a similar method as you can now have a
.create() model on the serializer that controls the actual creation
process. You can still use the ModelSerializer shortcut, but your validation
behaviour is made visible and explicit. “unique_together” and field validation
are helped by this.
Note: I missed something here as my late-2010 macbook pro crashed again with the hardware GPU bug that apple refuses to fix.
Field validation in 2.0 can be hard to track, because you don’t know if
something failed because of a serializer validation or because of a database
validation. A max on an integer field will only fail when saving to the
database: in 2.0 the error would come out of
.is_valid(). In 3.0, the
serializer validations will run OK and only the database save() will fail.
Nice and explicit.
There are now more methods that you can override on the serializer, like
Serializers are used as input for renderers. Simple ones like a JSON renderer,
but also an elaborate one like the HTML renderer for browser forms. The
serializer output is almost exactly like regular form data, except that
there’s an extra
data.serializer attribute, pointing back at the
serializer so that the renderer can query it for extra information.
There’s a way to give extra hints to a renderer: add a
style dictionary to
your fields. The contents of the dict is intentionally left unspecified, you
can do what you want. It is the renderer that will decide what to do with it.
Probably you’ll only use this to customize the HTML renderer.
The big 3.0 picture:
Easier to override save behaviour.
More explicit validation.
Better model encapsulation.
Less complex internal implementation.
Supports both Form and API output.
Template based form rendering.
Nested forms and lists of forms.
In the 3.1 version, you’ll be able to use the forms as exposed by Django REST framework as almost-regular forms in your django site.
There are quite some hypermedia formats coming out. HAL, JSON-LD for instance. He doesn’t think they’re compelling yet.
There are hypermedia formats that are successes.
Like plain old RSS. A simple link of lists, at the core. It is domain specific. It is machine readable. There are many tools that can read it.
HTML is the closest we’ve come to a universal platform. It is document centric, though, not data centric. It is not intended for programmatic interaction.
Can’t you peel back the html, too? And be left with the actual data? So: less documented-oriented but data object oriented? Say, an abstract object interface? A Data Object Model? That way a mobile application and a regular html application can interact with the same content.
(Note: I don’t know if he really meant the Data Object Model to abbreviate to DOM, which is obviously already the DOM abbreviation as known from html…)
A document object might have some meta attributes like uri, title, description. And other attributes like lists, objects, strings, nested documents. A “link” in turn can have a uri, some fields, etc.
Could you build generic client application on top of such a thing?
A “document” could have a ‘board’ attribute with the current state of a chess
board, for instance. If you work with such a document’s Data Object Model, you
could call methods that modify the board (
Also imagine the level of functional testing you could do on your application. Especially as opposed to what you could do with bare html!
According to Tom, it is time to start addressing the fundamental issues of system communication. You’ve got to think big for this.
So: how do we design abstract object interfaces and describe the actions and transforms they expose?
My name is Reinout van Rees and I work a lot with Python (programming language) and Django (website framework). I live in The Netherlands and I'm happily married to Annie van Rees-Kooiman.
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